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Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
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1

Bottom-up generative modeling of tree-structured data  

Science Conference Proceedings (OSTI)

We introduce a compositional probabilistic model for treestructured data that defines a bottom-up generative process from the leaves to the root of a tree. Contextual state transitions are introduced from the joint configuration of the children to the ...

Davide Bacciu; Alessio Micheli; Alessandro Sperduti

2010-11-01T23:59:59.000Z

2

A Bottom-Up Model to Estimate the Energy Efficiency Improvement...  

NLE Websites -- All DOE Office Websites (Extended Search)

Efficiency Improvement and CO2 Emission Reduction Potentials in the Chinese Iron and Steel Industry Title A Bottom-Up Model to Estimate the Energy Efficiency Improvement and...

3

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

E-Print Network (OSTI)

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. ...

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

4

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

E-Print Network (OSTI)

Greenhouse gas McKinsey a b s t r a c t A highly influential report by the McKinsey consulting firm suggests energy­economy models. Using the CIMS hybrid model, we conducted simulations for comparison with the McKinsey reserved. 1. Introduction The McKinsey consulting company has produced a number of country-specific studies

5

Connecting the top-down to the bottom-up: pricing CDO under a conditional survival (CS) model  

Science Conference Proceedings (OSTI)

In this paper, we use exact simulation to price CDO under a new dynamic model, the Conditional Survival (CS) model, which provided excellent calibration to both iTraxx tranches and underlying single name CDS spreads on March 14, 2008, the day before ...

Xian Hua Peng; Steven S. G. Kou

2008-12-01T23:59:59.000Z

6

A Diagnosis of the Asymmetry in Top-Down and Bottom-Up Diffusion Using a Lagrangian Stochastic Model  

Science Conference Proceedings (OSTI)

A Lagrangian stochastic model of particle trajectories is used to investigate the asymmetry in vertical diffusion from area sources at the bottom and top of an inhomogeneous turbulent boundary layer. Such an asymmetry was discovered in the large-...

J. C. Weil

1990-02-01T23:59:59.000Z

7

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

Science Conference Proceedings (OSTI)

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.

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

2010-08-15T23:59:59.000Z

8

A Bottom-Up Approach to SUSY Analyses  

SciTech Connect

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

Horn, Claus; /SLAC

2011-11-11T23:59:59.000Z

9

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

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Bottom-Up Energy Analysis System (BUENAS) Jump to: navigation, search Tool Summary Name: BUENAS Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Baseline projection, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools Website: www.superefficient.org/Resource%20Library/BUENAS%20-%20Bottom-Up%20Ene References: BUENAS Homepage[1] BUENAS for SEAD[2] Logo: BUENAS BUENAS stands for "Bottom-Up Energy Analysis System". It is used to project

10

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

Science Conference Proceedings (OSTI)

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.

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

2010-09-30T23:59:59.000Z

11

Assembly of a Molecular Needle, from the Bottom Up  

NLE Websites -- All DOE Office Websites (Extended Search)

Assembly of a Molecular Needle, Assembly of a Molecular Needle, from the Bottom Up Assembly of a Molecular 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 cells they infect. 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 with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are found among a wide variety of animal as well as plant pathogens. Electron microscopy has sketched the broad outlines of TTSS structure, but it does not have sufficient resolution to reveal the details required to understand, and eventually inhibit, the needle's function. At the ALS, researchers from Canada and the U.S. performed crystallographic studies of EscJ, the protein that makes up the needle's ring-shaped base. Their analysis of the EscJ ring not only presents a snapshot of one of the earliest structures generated in the TTSS assembly process, but also reveals features indicative of its role as the molecular platform for subsequent construction of the secretion apparatus.

12

Mineralization of Synthetic Polymer Scaffolds: A Bottom-Up ...  

Mineralization of Synthetic Polymer Scaffolds: A Bottom-Up Approach for the Development of Artificial Bone Jie Song,*,, Viengkham Malathong, and Carolyn R ...

13

Assembly of a Molecular Needle, from the Bottom Up  

NLE Websites -- All DOE Office Websites (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...

14

Holographic Conformal Window - A Bottom Up Approach  

E-Print Network (OSTI)

We propose a five-dimensional framework for modeling the background geometry associated to ordinary Yang-Mills (YM) as well as to nonsupersymmetric gauge theories possessing an infrared fixed point with fermions in various representations of the underlying gauge group. The model is based on the improved holographic approach, on the string theory side, and on the conjectured all-orders beta function for the gauge theory one. We first analyze the YM gauge theory. We then investigate the effects of adding flavors and show that, in the holographic description of the conformal window, the geometry becomes AdS when approaching the ultraviolet and the infrared regimes. As the number of flavors increases within the conformal window we observe that the geometry becomes more and more of AdS type over the entire energy range.

Matti Jarvinen; Francesco Sannino

2009-11-12T23:59:59.000Z

15

Proteomics by FTICR Mass Spectrometry: Top Down and Bottom Up  

SciTech Connect

This review offers a broad overview of recent FTICR applications and technological developments in the field of proteomics, directed to a variety of people with different expertise and interests. Both the ''bottom-up'' (peptide level) and ''top-down'' (intact protein level) approaches will be covered and various related aspects will be discussed and illustrated with examples that are among the best available references in the literature. ''Bottom-up topics include peptide fragmentation, the AMT approach and DREAMS technology, quantitative proteomics, post-translational modifications, and special FTICR software focused on peptide and protein identification. Topics in the ''top-down'' part include various aspects of high-mass measurements, protein tandem mass spectrometry, protein confirmations, protein-protein complexes, as well as some esoteric applications that may become more practical in the coming years. Finally, examples of integrating both approaches and medical proteomics applications using FTICR will be provided, closing with an outlook of what may be coming our way sooner than later.

Bogdanov, Bogdan; Smith, Richard D.

2005-03-31T23:59:59.000Z

16

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

E-Print Network (OSTI)

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 ...

Feilhauer, Stephan M. (Stephan Marvin)

2008-01-01T23:59:59.000Z

17

Strain Response of Hot-Mix Asphalt Overlays for Bottom-Up Reflective Cracking  

E-Print Network (OSTI)

This paper examines the strain response of typical HMA overlays above jointed PCC slabs prone to bottom-up reflective cracking. The occurrence of reflective cracking under the combined effect of traffic and environmental loading significantly reduces the design life of the HMA overlays and can lead to its premature failure. In this context, viscoelastic material properties combined with cyclic vehicle loadings and pavement temperature distribution were implemented in a series of FE models in order to study the evolution of horizontal tensile and shear strains at the bottom of the HMA overlay. The effect of several design parameters, such as subbase and subgrade moduli, vehicle speed, overlay thickness, and temperature condition, on the horizontal and shear strain response was investigated. Results obtained show that the rate of horizontal and shear strain increase at the bottom of the HMA overlay drop with higher vehicle speed, higher subgrade modulus, and higher subbase modulus. Moreover, the rate of horizontal strain accumulation increases with higher overlay thickness. Although initial strain values were higher at positive pavement temperature distributions, the corresponding rate of strain increase were higher at negative pavement temperatures. Finally, an extrapolation of the strain history curve for various pavement design parameters was used to estimate the number of cycles for bottom-up crack initiation.

Ziad G. Ghauch; Grace G. Abou Jaoude

2011-10-11T23:59:59.000Z

18

Bottom-up derivation of an effective thermostat for united atoms simulations of water  

E-Print Network (OSTI)

In this article we derive the effective pairwise interactions in a Langevin type united atoms model of water. The interactions are determined from the trajectories of a detailed molecular dynamics simulation of simple point charge water. A standard method is used for estimating the conservative interaction, whereas a new "bottom-up" method is used to determine the effective dissipative and stochastic interactions. We demonstrate that, when compared to the standard united atoms model, the transport properties of the coarse-grained model is significantly improved by the introduction of the derived dissipative and stochastic interactions. The results are compared to a previous study, where a "top-down" approach was used to obtain transport properties consistent with those of the simple point charge water model.

Eriksson, Anders; Nystrom, Johan; Tunstrom, Kolbjorn

2009-01-01T23:59:59.000Z

19

Bottom Up and Country Led: A New Framework for Climate Action | Open Energy  

Open Energy Info (EERE)

Bottom Up and Country Led: A New Framework for Climate Action Bottom Up and Country Led: A New Framework for Climate Action Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Bottom Up and Country Led: A New Framework for Climate Action Agency/Company /Organization: Booz and Company Sector: Energy, Land, Climate Topics: Low emission development planning Resource Type: Publications Website: www.booz.com/global/home/what_we_think/reports_and_white_papers/ic-dis Cost: Free Bottom Up and Country Led: A New Framework for Climate Action Screenshot References: Bottom Up and Country Led: A New Framework for Climate Action[1] "As delegates gather for the Climate Change Conference in Cancun in late 2010, they can benefit from familiarizing themselves with the set of tools available for mitigation and adaptation, as well as how these tools can fit

20

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

main example of this is the projection of unit sales. Whennational and state projections to 2019-20 2003, Australianend use energy demand projection model developed by Lawrence

McNeil, Michael A.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

use from 2005 (base year) to 2030. The strategy of the modelunder the standard. By 2030, the entire stock will generallyend use through the year 2030. Much of the modeling content

McNeil, Michael A.

2013-01-01T23:59:59.000Z

22

Top-Down, Bottom-Up Diffusion Experiments in a Water Convection Tank  

Science Conference Proceedings (OSTI)

Large-eddy simulation (LES) results indicate that turbulent scalar diffusion in the convective atmospheric boundary layer (CBL) has interesting properties. A scalar introduced into the bottom of the CBL with no flux through the top (bottom-up ...

M. Piper; J. C. Wyngaard; W. H. Snyder; R. E. Lawson Jr.

1995-10-01T23:59:59.000Z

23

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

SciTech Connect

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.

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

2011-04-15T23:59:59.000Z

24

Bottom-up superconducting and Josephson junction devices inside a Group-IV semiconductor  

E-Print Network (OSTI)

We propose superconducting devices made from precision hole-doped regions within a silicon (or germanium) single crystal. We analyze the properties of this superconducting semiconductor and show that practical superconducting wires, Josephson tunnel junctions or weak links, SQUIDs, and qubits are realizable. This work motivates the pursuit of bottom-up superconductivity for improved or fundamentally different technology and physics.

Yun-Pil Shim; Charles Tahan

2013-08-30T23:59:59.000Z

25

The Bottom Up Approach to Processing Ceramics Is Not Always the ...  

Science Conference Proceedings (OSTI)

Abstract Scope, Liquid-feed flame spray pyrolysis (LF-FSP) of metal alkoxide and carboxylate complexes dissolved in ethanol generates a wide variety of phase...

26

Two Paths to Transforming Markets through Public Sector EnergyEfficiency: Bottom Up versus Top Down  

SciTech Connect

The evolution of government purchasing initiatives in Mexicoand China, part of the PEPS (Promoting an Energy-efficient Public Sector)program, demonstrates the need for flexibility in designingenergy-efficiency strategies in the public sector. Several years ofpursuing a top-down (federally led) strategy in Mexico produced fewresults, and it was not until the program was restructured in 2004 tofocus on municipal-level purchasing that the program gained momentum.Today, a new partnership with the Mexican federal government is leadingto an intergovernmental initiative with strong support at the federallevel. By contrast, the PEPS purchasing initiative in China wassuccessfully initiated and led at the central government level withstrategic support from international experts. The very different successtrajectories in these two countries provide valuable lessons fordesigning country-specific public sector energy-efficiency initiatives.Enabling conditions for any successful public sector purchasinginitiative include the existence of mandatory energy-efficiencyperformance standards, an effective energy-efficiency endorsementlabeling program, an immediate need for energy conservation, a simplepilot phase (focusing on a limited number of strategically chosenproducts), and specialized technical assistance. Top-down purchasingprograms are likely to be more successful where there is high-levelpolitical endorsement and a national procurement law in place, supportedby a network of trained purchasers. Bottom-up (municipally led)purchasing programs require that municipalities have the authority to settheir own purchasing policies, and also benefit from existing networks ofcities, supported by motivated municipal leaders and trained purchasingofficials.

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

2006-05-10T23:59:59.000Z

27

Biofuel supply chain and bottom-up market equilibrium model for production and policy analysis.  

E-Print Network (OSTI)

??Renewable fuel is attracting increasing attention as a substitute for fossil based energy. The US Department of Energy (DOE) has identified pyrolysis based platforms as (more)

Zhang, Leilei

2013-01-01T23:59:59.000Z

28

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

SciTech Connect

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

Huang, Yu Joe; Brodrick, Jim

2000-08-01T23:59:59.000Z

29

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

SciTech Connect

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

Zhou, Nan; McNeil, Michael A.

2009-05-01T23:59:59.000Z

30

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

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.

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

2013-10-01T23:59:59.000Z

31

Agent-Based Computational Economics: Growing Economies From the Bottom Up  

Science Conference Proceedings (OSTI)

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization of economics of the basic complex adaptive systems paradigm. This study outlines ...

Leigh Tesfatsion

2002-03-01T23:59:59.000Z

32

A general framework for semantics-based bottom-up abstract interpretation of logic programs  

Science Conference Proceedings (OSTI)

The theory of abstract interpretation provides a formal framework to develop advanced dataflow analysis tools. The idea is to define a nonstandard semantics which is able to compute, in finite time, an approximated model of the program. In this paper, ... Keywords: abstract interpretation, logic programming, program analysis

Roberto Barbuti; Roberto Giacobazzi; Giorgio Levi

1993-01-01T23:59:59.000Z

33

Bottom-up Analysis  

E-Print Network (OSTI)

On its way to its current form this report has received significant input from a considerable number of experts. In particular, a panel of experts in Brussels discussed a draft version of the report on March 29, 2000 (see Annex 5 for a list of names), and made a number of specific and more general comments and suggestions. The authors would like to thank these people for their valuable inputs into this study. It was attempted to consider their suggestions wherever possible. EXECUTIVE SUMMARY The fossil fuel extraction, transport and distribution sector comprises the exploration, transport and distribution of oil, natural gas and coal. Within the EU, the fossil fuel extraction, transport and distribution sector is an important source of methane, accounting for 20 % of total methane emissions in 1990. This equals to about 2.3 % of total greenhouse emissions in the EU in 1990. Between 1990 and 1995 (the latest year for which emissions data was available at the time of writing), emission from the fossil fuel extraction, transport and distribution sector fell by about 20%, due principally to decrease in production

Fuels In The Eu; Chris Hendriks; David De Jager; Contact Chris Hendriks

2001-01-01T23:59:59.000Z

34

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

E-Print Network (OSTI)

in start-up time and energy costs. The energy savings areload factor, running time, local energy costs, and available

Sathaye, J.

2011-01-01T23:59:59.000Z

35

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

E-Print Network (OSTI)

Tracking Industrial Energy Efficiency and CO2 Emissions.and L. Price. 1999. Energy Efficiency and Carbon DioxideGalitsky. 2004. Energy Efficiency Improvement Opportunities

Sathaye, J.

2011-01-01T23:59:59.000Z

36

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

E-Print Network (OSTI)

Cement Industry, An Energy Perspective", U.S. Department ofCost of Conserved Final Energy (US$/GJ) Final CCE includingwithout including non-energy benefits, U.S. steel industry (

Sathaye, J.

2011-01-01T23:59:59.000Z

37

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

E-Print Network (OSTI)

U.S. Department of Energy, Washington D.C. , USA. Vleuten,Department of Energy, Washington, DC. Energy InformationDepartment of Energy, Washington, DC. Energy Information

Sathaye, J.

2011-01-01T23:59:59.000Z

38

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

E-Print Network (OSTI)

St. Louis, Missouri. Energy Technology Support Unit (ETSU),de Beer, 1997. "Energy Efficient Technologies in Industry -and MAIN, 1993. Energy Technology in the Cement Industrial

Sathaye, J.

2011-01-01T23:59:59.000Z

39

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

E-Print Network (OSTI)

Concepts of Waste Heat Recovery in Cement Plants EnergyM. , 1990. Waste Gas Heat Recovery in Cement Plants Energy

Sathaye, J.

2011-01-01T23:59:59.000Z

40

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

E-Print Network (OSTI)

carbon reduction cost curves for energy efficiency measuressection on developing energy efficiency cost curves for thecarbon reduction cost curves for energy efficiency measures

Sathaye, J.

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

E-Print Network (OSTI)

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

Sathaye, J.

2011-01-01T23:59:59.000Z

42

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

E-Print Network (OSTI)

used throughout this Energy Guide for consistency. systemsfor Cement Making, An ENERGY STAR Guide for Energy and PlantGuide to LCC Analysis for Pumping Systems. Hydraulic Institute/Europump/ United States Department of Energy.

Sathaye, J.

2011-01-01T23:59:59.000Z

43

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

E-Print Network (OSTI)

non-energy benefits, U.S. steel industry (Worrell et al.improvements in U.S. iron and steel industry (Worrell et al.for the U.S. iron and steel industry in 1994 (Figure 1).

Sathaye, J.

2011-01-01T23:59:59.000Z

44

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

E-Print Network (OSTI)

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 developed for industrial energy analysis at the Pacific Northwest National Laboratory. Although the results are mixed, generally ITEMS show greater penetration of energy efficient technologies and thus lower energy use, even though the business as usual forecasts for ITEMS uses a higher discount rate than NEMS uses.

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

2000-04-01T23:59:59.000Z

45

Solar information process model  

DOE Green Energy (OSTI)

The MITRE Solar Information Process Model (SIP) is a computerized model that simulates information processes in solar markets. As such, it represents a useful tool in the formulation of solar information outreach programs. For each market investigated, SIP model outputs include prioritized listings of the information needs of key decision makers and other strategically important market participants, and related information flow paths. This report provides macro-descriptions of the model and its logic together with a detailed illustrative example of its application. It also presents the findings and conclusions resulting from utilization of the model in the analysis of information processes in eight solar markets within the residential, commercial and agricultural sectors.

Hewett, R.; Spewak, P.

1978-12-01T23:59:59.000Z

46

Decision Superiority Process Model  

Science Conference Proceedings (OSTI)

Decision superiority is achieved not just by acquiring and assessing the right information, but by translating it into actionable knowledge that can be exploited in the decision making process. Achieving decision superiority is necessary, because the ... Keywords: context-goal alternatives, decision making process, decision superiority, process model

Barbara Sorensen; Azad M. Madni; Carla C. Madni

2008-12-01T23:59:59.000Z

47

Biosphere Process Model Report  

Science Conference Proceedings (OSTI)

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.

J. Schmitt

2000-05-25T23:59:59.000Z

48

Foam process models.  

Science Conference Proceedings (OSTI)

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

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

2008-09-01T23:59:59.000Z

49

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

E-Print Network (OSTI)

long-term. Biomass and Bioenergy 2005, 9. Wu, M. ; Wu, Y. ,industry. Biomass and Bioenergy 2005, 28, (6), 565-571. 18.the direct GHG effects of bioenergy crop production. Though

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

2008-01-01T23:59:59.000Z

50

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

E-Print Network (OSTI)

capacity. Ultra high power transformers. Transformer losseshigh power furnaces are those with a transformer capacity ofpower can be reached by installing new transformers or

Xu, T.T.

2011-01-01T23:59:59.000Z

51

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

E-Print Network (OSTI)

Energy Market and Economic Impacts of S.280, the Climate Stewardship and Innovation Act of 2007; Energy InformationEnergy Market and Economic Impacts of S. 2191, the Lieberman-Warner Climate Security Act of 2007; Energy Information

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

2008-01-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

scrap, pig iron or direct reduced iron using an electric arcsteel, pig iron or direct reduced iron using an electric arcbuilding materials). Direct reduced iron (DRI) is produced

Xu, T.T.

2011-01-01T23:59:59.000Z

53

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

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

54

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

E-Print Network (OSTI)

2007 with Projections to 2030. Report #DOE/EIA-0383(2007);2006 with Projections to 2030. Report #: DOE/EIA-0383(2006);from petroleum products. By 2030, the transportation sector

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

2008-01-01T23:59:59.000Z

55

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

E-Print Network (OSTI)

Leonhard (eds. ), Energy Efficiency Improvements in ElectricC. Moore, 1997. Energy Efficiency and Advanced TechnologiesSummer Study on Energy Efficiency in Industry, Washington,

Xu, T.T.

2011-01-01T23:59:59.000Z

56

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

E-Print Network (OSTI)

Cost of Conserved Final Energy (US$/GJ) Final CCE includingcurves of conserved energy (in U.S. dollar per GJ energySavings Cost per Final Energy Saved (US$/GJ) Final Energy

Xu, T.T.

2011-01-01T23:59:59.000Z

57

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

E-Print Network (OSTI)

Department of Energy, Washington, DC. Energy InformationDepartment of Energy, Washington, DC. Energy InformationUnited States Department of Energy, Washington, DC. http://

Xu, T.T.

2011-01-01T23:59:59.000Z

58

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

E-Print Network (OSTI)

U.S. Department of Energy: Washington, DC, 2006; http://U.S. Department of Energy: Washington, DC, April, 2008. 19.U.S. Department of Energy: Washington, DC, 2007; http://

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

2008-01-01T23:59:59.000Z

59

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

E-Print Network (OSTI)

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

Xu, T.T.

2011-01-01T23:59:59.000Z

60

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

E-Print Network (OSTI)

R. C. , Comparative economics of biorefineries based on theBioprocessing, and Biorefineries 2007, 7. Shapouri, H. ;

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

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

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

E-Print Network (OSTI)

of costs of conserved energy and savings potential forDC: AISI. Anonymous, 1994. Energy Saving VSD Quench Pumps,CADDET. CADDET, 1990a. Energy Saving by Scale Removal from

Xu, T.T.

2011-01-01T23:59:59.000Z

62

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

E-Print Network (OSTI)

Miller, G. Multi-Path Transportation Futures Study: ResultsMiller, G. Multi-Path Transportation Futures Study. Phase 2in comparison to a transportation future without any efforts

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

2008-01-01T23:59:59.000Z

63

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

E-Print Network (OSTI)

presented energy cost curves for energy efficiency measuressection then develops energy efficiency cost curves for thepresented energy cost curves for energy efficiency measures

Xu, T.T.

2011-01-01T23:59:59.000Z

64

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

E-Print Network (OSTI)

constant heating of the coke ovens ensures optimization ofheating - coke plant Variable speed drive coke oven gasheating - coke plant Variable speed drive coke oven gas

Xu, T.T.

2011-01-01T23:59:59.000Z

65

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

E-Print Network (OSTI)

and Renewable Energy (EERE), U.S. Department of Energy:and Renewable Energy (EERE), U.S. Department of Energy:

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

2008-01-01T23:59:59.000Z

66

2011 Special Issue: Modeling eye movements in visual agnosia with a saliency map approach: Bottom-up guidance or top-down strategy?  

Science Conference Proceedings (OSTI)

Two recent papers (Foulsham, Barton, Kingstone, Dewhurst, & Underwood, 2009; Mannan, Kennard, & Husain, 2009) report that neuropsychological patients with a profound object recognition problem (visual agnosic subjects) show differences from healthy observers ... Keywords: Eye movements, Neuropsychology, Object recognition, Visual attention, Visual saliency

Tom Foulsham; Jason J. S. Barton; Alan Kingstone; Richard Dewhurst; Geoffrey Underwood

2011-08-01T23:59:59.000Z

67

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

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

68

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

E-Print Network (OSTI)

and thermochemical platforms. Biofuels, Bioprocessing, andTyner, W. E. ; Birur, D. K. Biofuels for all? Understandingof renewable fuels (biofuels in particular). For example,

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

2008-01-01T23:59:59.000Z

69

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

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

70

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

E-Print Network (OSTI)

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

Xu, T.T.

2011-01-01T23:59:59.000Z

71

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

E-Print Network (OSTI)

fuel switching (increasing use of natural gas, nuclear after 2040, and renewables), adopting more ef?cient electricity-generating

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

2008-01-01T23:59:59.000Z

72

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

E-Print Network (OSTI)

types of ethanol: corn ethanol and cellulosic ethanol. ManyInput assumptions for corn ethanol and cellulosic ethanolMost of the values for corn ethanol are extracted from GREET

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

2008-01-01T23:59:59.000Z

73

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

E-Print Network (OSTI)

energy savings with discounts rates 10%, 20% and 30% in the U.S. iron and steel industryenergy savings with discounts rates 10%, 20% and 30% in the U.S. iron and steel industry.

Xu, T.T.

2011-01-01T23:59:59.000Z

74

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

E-Print Network (OSTI)

1982. Energy and the Steel Industry, Brussels, Belgium:in the Canadian Steel Industry, Ottawa, Canada: CANMET.in the Iron and Steel Industry, in: Proceedings 1997 ACEEE

Xu, T.T.

2011-01-01T23:59:59.000Z

75

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

E-Print Network (OSTI)

+ transportation cap without biofuel mandate after 2015 30%transportation cap without biofuel mandate after 2015 and noassumptions and improved biofuel characterization (see

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

2008-01-01T23:59:59.000Z

76

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

E-Print Network (OSTI)

38 COKEplants where iron ore fines, coke breeze, water treatmentto reduce the amount of coke required. Maximum theoretical

Xu, T.T.

2011-01-01T23:59:59.000Z

77

Radiolysis Process Model  

SciTech Connect

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 105 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.

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

2012-07-17T23:59:59.000Z

78

Kinetic Modeling of Microbiological Processes  

Science Conference Proceedings (OSTI)

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.

Liu, Chongxuan; Fang, Yilin

2012-09-17T23:59:59.000Z

79

Bottoms Up: Better Organic Semiconductors for Printable ...  

Science Conference Proceedings (OSTI)

... A patent from British researchers in 2005 offered a promising compromise: blend the small semiconductor molecules in with the polymer. ...

2012-10-18T23:59:59.000Z

80

Data support in process model abstraction  

Science Conference Proceedings (OSTI)

Process model abstraction is an effective approach to reduce the complexity and increase the understandability of process models. Several techniques provide process model abstraction capabilities, but none of them includes data in the abstraction procedure. ... Keywords: business process management, data, data abstraction framework, process model abstraction

Andreas Meyer; Mathias Weske

2012-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Configurable multi-perspective business process models  

Science Conference Proceedings (OSTI)

A configurable process model provides a consolidated view of a family of business processes. It promotes the reuse of proven practices by providing analysts with a generic modeling artifact from which to derive individual process models. Unfortunately, ... Keywords: Business process, Configurable process model, EPC

Marcello La Rosa; Marlon Dumas; Arthur H. M. ter Hofstede; Jan Mendling

2011-04-01T23:59:59.000Z

82

Eliciting information for product modeling using process modeling  

Science Conference Proceedings (OSTI)

A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/or engineering process in a formal process model, then to create a product ... Keywords: CASE, GTPPM, Information flow, Process model, Product model, STEP

Ghang Lee; Charles M. Eastman; Rafael Sacks

2007-08-01T23:59:59.000Z

83

Cupola Furnace Computer Process Model  

Science Conference Proceedings (OSTI)

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).

Seymour Katz

2004-12-31T23:59:59.000Z

84

Transforming object-oriented models to process-oriented models  

Science Conference Proceedings (OSTI)

Object-oriented modelling is an established approach to document the information systems. In an object model, a system is captured in terms of object types and associations, state machines, collaboration diagrams, etc. Process modeling on the other hand, ... Keywords: model transformation, object model, process model

Guy Redding; Marlon Dumas; Arthur H. M. Ter Hofstede; Adrian Iordachescu

2007-09-01T23:59:59.000Z

85

Workflow Patterns in Process Modeling  

E-Print Network (OSTI)

This paper proposes an introduction to one of the newest modelling methods, an executable model based on workflows. We present the terminology for some basic workflow patterns, as described in the Workflow Management Coalition Terminology and Glossary.

Fortis, Alexandra

2009-01-01T23:59:59.000Z

86

TMS 2010 Process Modeling Course  

Science Conference Proceedings (OSTI)

TMS Home .... the best approach to minimize energy usage while analyzing waste minimization and treatment, as well as process efficiency in metals extraction.

87

Pyrometallurgical Process Modeling, Control & Instrumentation  

Science Conference Proceedings (OSTI)

Mar 14, 2012 ... In the current paper, comparisons are drawn between data from spent ... The model integrates submerged coal combustion and chemical...

88

Agent-Based Modelling of Socio-Ecosystems: A Methodology for the Analysis of Adaptation to Climate Change  

Science Conference Proceedings (OSTI)

The integrated-environmental, economic and social-analysis of climate change calls for a paradigm shift as it is fundamentally a problem of complex, bottom-up and multi-agent human behaviour. There is a growing awareness that global environmental change ... Keywords: Agent-Based Modelling, Bottom-Up Exploration, Climate Change Adaptation, Socio-Ecosystems, Sustainability Strategies

Stefano Balbi; Carlo Giupponi

2010-10-01T23:59:59.000Z

89

Modeling Stem Cell Induction Processes  

E-Print Network (OSTI)

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 ...

Grcio, Filipe

90

Friction-Stir Processing (Models)  

Science Conference Proceedings (OSTI)

Oct 29, 2009... investigating the dynamic stress strain response of HSLA-65 under conditions ... Survey of Current Modeling Techniques for Friction Stir Welding: Dave ... friction stir welding (FSW) demands an appropriate level of accuracy,...

91

Supporting design planning through process model simulation  

E-Print Network (OSTI)

..... ............................................ ...... ...... 154 7.2 VARIATIONS DUE TO SCALE AND CONNECTIVITy .. .. .... .... ... ................. ....... .................. ... ... 154 7.2.1 Process model variations due to scale...

Flanagan, Toms Leo

2007-02-13T23:59:59.000Z

92

Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions and a new approach for estimating net ecosystem exchange from inventory-based data  

Science Conference Proceedings (OSTI)

While fossil fuel emissions are calculated with relatively high precision, understanding the fate of those emissions with respect to sequestration in terrestrial ecosystems requires data and methods that can reduce uncertainties in the diagnosis of land-based CO2 sinks. The wide range in the land surface flux estimates is related to a number of factors, but most generally because of the different methodologies used to develop estimates of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can be broadly classified as applying a top-down or bottom-up perspective. Top-down approaches calculate land-atmosphere carbon fluxes based on atmospheric budgets and inverse modeling. Bottom-up approaches rely primarily on measurements of carbon stock changes (the inventory approach) or on spatially distributed simulations of carbon stocks and/or fluxes using process-based modeling (the forward modelapproach).

Hayes, D. J.; Turner, D. P.; Stinson, Graham; McGuire, A. David; Wei, Yaxing; West, Tristram O.; Heath, L.; deJong, B.; McConkey, Brian; Birdsey, Richard A.; Kurz, Werner; Jacobson, Andy; Huntzinger, Deborah N.; Pan, Y.; Post, W. M.; Cook, R. B.

2012-04-02T23:59:59.000Z

93

INTEGRATED FISCHER TROPSCH MODULAR PROCESS MODEL  

Science Conference Proceedings (OSTI)

With declining petroleum reserves, increased world demand, and unstable politics in some of the worlds richest oil producing regions, the capability for the U.S. to produce synthetic liquid fuels from domestic resources is critical to national security and economic stability. Coal, biomass and other carbonaceous materials can be converted to liquid fuels using several conversion processes. The leading candidate for large-scale conversion of coal to liquid fuels is the Fischer Tropsch (FT) process. Process configuration, component selection, and performance are interrelated and dependent on feed characteristics. This paper outlines a flexible modular approach to model an integrated FT process that utilizes a library of key component models, supporting kinetic data and materials and transport properties allowing rapid development of custom integrated plant models. The modular construction will permit rapid assessment of alternative designs and feed stocks. The modeling approach consists of three thrust areas, or strands model/module development, integration of the model elements into an end to end integrated system model, and utilization of the model for plant design. Strand 1, model/module development, entails identifying, developing, and assembling a library of codes, user blocks, and data for FT process unit operations for a custom feedstock and plant description. Strand 2, integration development, provides the framework for linking these component and subsystem models to form an integrated FT plant simulation. Strand 3, plant design, includes testing and validation of the comprehensive model and performing design evaluation analyses.

Donna Post Guillen; Richard Boardman; Anastasia M. Gribik; Rick A. Wood; Robert A. Carrington

2007-12-01T23:59:59.000Z

94

Modeling and simulation of film blowing process  

E-Print Network (OSTI)

Film blowing process is a flexible mass production technology used for manufacturing thin polymeric films. Its flexibility in using an existing die to produce films of different width and thickness, just by controlling process conditions such as, extrudate velocity, excess pressure, and line speed, makes it an attractive process with less capital investment. Controlling the process conditions to obtain a stable bubble, however, is not a trivial task. It is a costly trial and error procedure, which could result is a large wastage of material and other resources. Hence, it is necessary to develop methods to simulate the process and design it using numerical experiments. This important need of the industry defines the objective of this work. In this dissertation, a transient, axisymmetric, nonisothermal, viscoelastic model is developed to simulate the process, and it is solved using finite element method. Material behavior of polymer melt is described using a modified Phan-Thien-Tanner model in the liquid??like region, and anisotropic Kelvin??Voight model in the solid zone, and the transition is modeled using a simple mixture theory. Crystallization kinetics is described using a modified Avrami model with factors to account for the influence of temperature and strain. Results obtained are compared with available experimental results and the model is used to explore stability issues and the role of different parameters. Software developed using this model comes with a GUI based pre- and post-processor, and it can be easily adapted to use other constitutive models.

Mayavaram, Ravisankar S.

2006-05-01T23:59:59.000Z

95

Fuel Conditioning Facility Electrorefiner Process Model  

SciTech Connect

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.

DeeEarl Vaden

2005-10-01T23:59:59.000Z

96

MODEL OF DIFFUSERS / PERMEATORS FOR HYDROGEN PROCESSING  

DOE Green Energy (OSTI)

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.

Hang, T; William Jacobs, W

2007-08-27T23:59:59.000Z

97

Modeling of Geothermal Reservoirs: Fundamental Processes, Computer  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Modeling of Geothermal Reservoirs: Fundamental Processes, Computer Simulation and Field Applications Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Modeling of Geothermal Reservoirs: Fundamental Processes, Computer Simulation and Field Applications Abstract This article attempts to critically evaluate the present state of the art of geothermal reservoir simulation. Methodological aspects of geothermal reservoir modeling are briefly reviewed, with special emphasis on flow in fractured media. We then examine some applications of numerical simulation to studies of reservoir dynamics, well test design and analysis, and modeling of specific fields. Tangible impacts of reservoir simulation

98

Quantum irreversible process in a simple model  

E-Print Network (OSTI)

We present a very simple model of a quantum system in which an irreversible process happens. The model can be used as an example of a quantum dynamical problem in introductory courses of Quantum Mechanics or as the introduction to courses on Quantum Irreversible Processes. In both cases it will help students to build some intuition on dynamical behaviour of quantum systems consisting of many degrees of freedom beyond perturbation theory and classical thermodynamics.

Wjcik, Krzysztof Piotr

2012-01-01T23:59:59.000Z

99

Dirichlet Process Mixtures of Generalized Linear Models  

Science Conference Proceedings (OSTI)

We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLM), a new class of methods for nonparametric regression. Given a data set of input-response pairs, the DP-GLM produces a global model of the joint distribution through a mixture ...

Lauren A. Hannah; David M. Blei; Warren B. Powell

2011-02-01T23:59:59.000Z

100

Process modeling study of the CIF incinerator  

SciTech Connect

The Savannah River Site (SRS) plans to begin operating the Consolidated Incineration Facility (CIF) in 1996. The CIF will treat liquid and solid low-level radioactive, mixed and RCRA hazardous wastes generated at SRS. In addition to experimental test programs, process modeling was applied to provide guidance in areas of safety, environmental regulation compliances, process improvement and optimization. A steady-state flowsheet model was used to calculate material/energy balances and to track key chemical constituents throughout the process units. Dynamic models were developed to predict the CIF transient characteristics in normal and abnormal operation scenarios. Predictions include the rotary kiln heat transfer, dynamic responses of the CIF to fluctuations in the solid waste feed or upsets in the system equipments, performance of the control system, air inleakage in the kiln, etc. This paper reviews the modeling study performed to assist in the deflagration risk assessment.

Hang, T.

1995-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Near Field Environment Process Model Report  

SciTech Connect

Although there are uncertainties and issues of heterogeneities in properties, the overall binary coupling between thermal, hydrological, chemical, and mechanical processes in the near-field environment is understood, as discussed above. Ternary coupling among these processes has been investigated experimentally and computationally with good agreement. Simultaneous coupling of all four types of processes has not yet been addressed, but multiple combinations of ternary couplings have been investigated. Based on these considerations, THCM processes are not inconsistent with the treatment of repository performance in TSPA. Ranges of parameters are used in TSPA to account for uncertainty and investigate the sensitivity to specific processes and events. Ongoing work will further reduce these uncertainties and increase confidence in coupled-process models that must predict responses over geologic time scales.

2001-01-05T23:59:59.000Z

102

Hydrothermal processing of Hanford tank wastes: Process modeling and control  

Science Conference Proceedings (OSTI)

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

Currier, R.P. [comp.

1994-10-01T23:59:59.000Z

103

Attrition and abrasion models for oil shale process modeling  

Science Conference Proceedings (OSTI)

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.

Aldis, D.F.

1991-10-25T23:59:59.000Z

104

Dynamic Process of Money Transfer Models  

E-Print Network (OSTI)

We have studied numerically the statistical mechanics of the dynamic phenomena, including money circulation and economic mobility, in some transfer models. The models on which our investigations were performed are the basic model proposed by A. Dragulescu and V. Yakovenko [1], the model with uniform saving rate developed by A. Chakraborti and B.K. Chakrabarti [2], and its extended model with diverse saving rate [3]. The velocity of circulation is found to be inversely related with the average holding time of money. In order to check the nature of money transferring process in these models, we demonstrated the probability distributions of holding time. In the model with uniform saving rate, the distribution obeys exponential law, which indicates money transfer here is a kind of Poisson process. But when the saving rate is set diversely, the holding time distribution follows a power law. The velocity can also be deduced from a typical individual's optimal choice. In this way, an approach for building the micro-...

Wang, Y; Wang, Yougui; Ding, Ning

2005-01-01T23:59:59.000Z

105

Multiphase Flow Modeling of Biofuel Production Processes  

Science Conference Proceedings (OSTI)

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.

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

2011-06-01T23:59:59.000Z

106

Analyzing interacting WS-BPEL processes using flexible model generation  

Science Conference Proceedings (OSTI)

We address the problem of analyzing the interaction between WS-BPEL processes. We present a technology chain that starts out with a WS-BPEL process and translates it into a Petri net model. On the model we decide controllability of the process (the existence ... Keywords: Business process modeling and analysis, Formal models in business process management, Petri nets, Process verification and validation, WS-BPEL

Niels Lohmann; Peter Massuthe; Christian Stahl; Daniela Weinberg

2008-01-01T23:59:59.000Z

107

Business process modelling: coarse to fine grain mapping using metamodels  

Science Conference Proceedings (OSTI)

One of the key objectives of Business Process Modelling is to better understand and visualise business processes in order to improve and/or enact them in some IT infrastructure. This modelling perspective becomes more complicated and challenging with ... Keywords: business process modelling, meta-models, role activity diagramming, translation

Zaheer Abbas Khan; Mohammed Odeh

2008-02-01T23:59:59.000Z

108

TSPA Model Development and Sensitivity Analysis of Processes...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

109

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

energy demand in order to calculate impacts of current,majority of energy demand in buildings. The current versionenergy demand calculation and stock turnover analysis 10 . Much of the current and

McNeil, Michael A.

2013-01-01T23:59:59.000Z

110

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

domestic push. Energy Policy 35, 12821291. Bergerson,and climate change policy. Energy Policy California, 2006.N. Lutsey, D. Sperling / Energy Policy 36 (2008) 673685 US

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

111

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

Petersik, T. , 2004. State renewable energy requirements andstates Coordinate on development of renewable energy, energystate renewable electricity programs target increasing amounts of renewable energy

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

112

A Bottom-Up Approach to Clausal Tableaux  

Science Conference Proceedings (OSTI)

We present a new proof procedure for first-order logic. It is close in spirit to the usual tableaux-based procedures, but uses a more compact representation of the search space. Roughly speaking, it constructs the tableau from the leaves to the root, ...

Nicolas Peltier

2007-07-01T23:59:59.000Z

113

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

Kaya, Y. , Impact of Carbon Dioxide Emissions on GNP Growth:energy savings and carbon dioxide emissions mitigation.paid for by consumers. Carbon dioxide forms the majority of

McNeil, Michael A.

2013-01-01T23:59:59.000Z

114

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

American policy con?ict in the greenhouse: divergent trends in federal, regional, state, and local green energy and climate change policy.

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

115

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

Energy Policy 36 (2008) 673685 Table 4 Multi-governmentEnergy Policy 36 (2008) 673685 Furthermore, the rapid ramp-up of target setting, from 2001 to 2007, for governmentsEnergy Policy 36 ( 2008) 673685 4. Discussion The bene?ts of decentralized sub-national government

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

116

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

industrial electricity consumption in that year and, since ?gives motor electricity consumption in each year through

McNeil, Michael A.

2013-01-01T23:59:59.000Z

117

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

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

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

118

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

A Worldwide Review of Standby Power Use in Homes. 2001,Refrigeration, Space Heating, Standby, Televisions, WaterElectric Space Heating Standby Standby Television Television

McNeil, Michael A.

2013-01-01T23:59:59.000Z

119

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

by end use Annual unit energy consumption in Business AsScenario Annual unit energy consumption in Achieved ImpactsScenario Annual unit energy consumption in Best Practice

McNeil, Michael A.

2013-01-01T23:59:59.000Z

120

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

and Carbon Emissions Outlook to 2050. 2011, LBNL-4472E.EIA, International Energy Outlook 2011. 2011.International Energy Outlook 2010. 2010. EIA, International

McNeil, Michael A.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

2 TSL 2 TSL 2 Group End Use Dishwashers Motors Motors Motorsrequirements for household dishwashers. 2010. EC, ENER LotHeating Equipment Dishwashers Distribution Transformers

McNeil, Michael A.

2013-01-01T23:59:59.000Z

122

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

Electricity Carbon Factor Electricity carbon dioxideconsumption and carbon dioxide emissions. Carbon factor is a

McNeil, Michael A.

2013-01-01T23:59:59.000Z

123

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

consumption and carbon dioxide emissions. Carbon factor is aCarbon Factor Electricity carbon dioxide emissions are

McNeil, Michael A.

2013-01-01T23:59:59.000Z

124

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

diffusion of electrical appliances in the residential2008, USDOE. CONUEE, CONUEE Appliance Data. 2009. USDOE,best Energy-Efficient Appliances. 2010. Snchez, I. , et al.

McNeil, Michael A.

2013-01-01T23:59:59.000Z

125

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

energy demand, every attempt is made at accuracy. This includes collecting the best data on market trends,

McNeil, Michael A.

2013-01-01T23:59:59.000Z

126

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network (OSTI)

Assessment of Energy Efficiency Standards in Mxico. inMexico Brazil South Africa China India Indonesia Total without China Total including China EnergyEnergy and Emissions Savings in 2030 for MEPS since January 2010 Recent Achievements Scenario Category Unit TWh PJ Australia Canada EU Korea Mexico

McNeil, Michael A.

2013-01-01T23:59:59.000Z

127

Optimization models of gas recovery and gas condensate processing  

Science Conference Proceedings (OSTI)

We present a complex of mathematical models that formalize gas recovery and processing. Optimization problems for gas recovery and gas condensate processing are stated and corresponding solution algorithms are suggested. These mathematical models provide ...

M. Kh. Prilutskii; V. E. Kostyukov

2012-05-01T23:59:59.000Z

128

BatPaC - Battery Performance and Cost model - About BatPaC  

NLE Websites -- All DOE Office Websites (Extended Search)

About BatPaC About BatPaC The starting point for this work is based on the decades of battery design work headed by Paul Nelson at Argonne National Laboratory. These design models were based in Microsoft Office Excel® resulting in a flexible and straightforward format. The current effort builds on this previous experience by adding a manufacturing cost calculation as well as increasing the fidelity of the performance calculations all while maintaining efficient calculations (e.g. fractions of a second). The cost of a battery will change depending upon the materials chemistry, battery design, and manufacturing process. Therefore, it is necessary to account for all three areas with a bottom-up cost model. Other bottom-up cost models exist but are not generally available and have not been explicitly detailed in a public document. The motivation for our approach is based on a need for a battery performance and cost model that meets the following requirements:

129

A filter model for mobile processes  

Science Conference Proceedings (OSTI)

This paper presents a filter model for ?-calculus and shows its full abstraction with respect to a may operational semantics. The model is introduced in the form of a type assignment system. Types are related by a preorder that mimics ...

Ferruccio Damiani; Mariangiola Dezani-Ciancaglini; Paola Giannini

1999-02-01T23:59:59.000Z

130

Distributed Processing of a Regional Prediction Model  

Science Conference Proceedings (OSTI)

This paper describes the parallelization of a mesoscale-cloud-scale numerical weather prediction model and experiments conducted to assess its performance. The model used is the Advanced Regional Prediction System (ARPS), a limited-area ...

Kenneth W. Johnson; Jeff Bauer; Gregory A. Riccardi; Kelvin K. Droegemeier; Ming Xue

1994-11-01T23:59:59.000Z

131

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

E-Print Network (OSTI)

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

132

Processing Advancements via Modeling and Simulation  

Science Conference Proceedings (OSTI)

Feb 28, 2011... TMS Materials Processing and Manufacturing Division, TMS Structural ... the design of high-integrity components such as turbine blades and...

133

Modeling of Production Metal Cutting Processes  

Science Conference Proceedings (OSTI)

... oblique cutting, and nose turning. Finally, a system-level mechanistic machining model is briefly described for turning, milling, and drilling, and a ...

2011-01-12T23:59:59.000Z

134

Modeling and Simulation Applied to Metals Processing  

Science Conference Proceedings (OSTI)

This symposium will provide an overview of various fundamental materials ... modeling and simulation area they have detailed in the handbooks and the latest ...

135

Introduction of Materials Modelling into Processing Simulation  

Science Conference Proceedings (OSTI)

PI-10: Coupled Composition-Microstructure Modeling of a U-Pu-Zr Fuel PI-11: Creating an Integrated, Community-Sourced, First-Principles Data Repository.

136

CFD Modeling and Simulation in Materials Processing  

Science Conference Proceedings (OSTI)

Jul 31, 2011 ... A Coupled CFD-Thermodynamic-Kinetic Model to Simulate a Gas Stirred ... on Thermal and Thermosolutal Natural Convection in Liquid Alloys.

137

Bayesian dynamic models for space-time point processes  

Science Conference Proceedings (OSTI)

In this work we propose a model for the intensity of a space-time point process, specified by a sequence of spatial surfaces that evolve dynamically in time. This specification allows flexible structures for the components of the model, in order to handle ... Keywords: Bayesian inference, Disease mapping, Dynamic models, Integrated Laplace, Monte Carlo Markov chain, Space-time point processes

Edna A. Reis; Dani Gamerman; Marina S. Paez; Thiago G. Martins

2013-04-01T23:59:59.000Z

138

Nuclear Asset Management (NAM) Process Model  

Science Conference Proceedings (OSTI)

Nuclear asset management (NAM) is the process of making operational, resource allocation, and risk management decisions at all levels of a nuclear generation business to maximize nuclear power plant value to stakeholders, while maintaining safety to the public and the plant staff. To support nuclear utilities in achieving these goals, the Nuclear Energy Institute (NEI) issued NEI AP 940, Nuclear Asset Management Process Description and Guideline, in May 2005. This document provides high-level guidance. H...

2007-12-20T23:59:59.000Z

139

Online Modeling in the Process Industry for Energy Optimization  

E-Print Network (OSTI)

"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 and electricity. It further discusses the methods of providing this energy for refineries, petrochemical plants, and other processing plants - chemical, paper, and metal. A typical system flow diagram is used to highlight the energy system network and describe areas where steady-state models are used. The types of models used are discussed, and a scheme for putting the models together to provide total process plant energy optimization is summarized. The types of optimization which can be implemented in a process plant is thus presented. The paper points out what steady-state modeling is needed to do online optimization of an energy network in a processing plant. Finally, a discussion of the economics on online energy optimization is presented."

Alexander, J.

1988-09-01T23:59:59.000Z

140

Reversible computation as a model for the quantum measurement process  

E-Print Network (OSTI)

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

Karl Svozil

2009-04-15T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Process Modelling of Electron Beam Welding of Aeroengine ...  

Science Conference Proceedings (OSTI)

PROCESS MODELLING OF THE ELECTRON BEAM WELDING OF AEROENGINE COMPONENTS. R. C. Reed, H.J. Stone, D Dye and S.M. Roberts.

142

Through-process Modeling for Cold Spray Alloy Optimization  

Science Conference Proceedings (OSTI)

Presentation Title, Through-process Modeling for Cold Spray Alloy Optimization ... repairability, and energy efficiency are highly desirable in many industries.

143

Simulation Techniques for Process Energy Modeling - Doing it ...  

Science Conference Proceedings (OSTI)

Simulation Techniques for Process Energy Modeling ... 2: Constrained Material Balance for Maximum Activity of Carbon; SuperSolver's Optimization Feature. III.

144

Unified Model for the Heat Transfer Processes that Occur During  

E-Print Network (OSTI)

A unified general model for the heat transfer processes that occur within a food product subjected to canning or aseptic thermal treatment, is presented. Two principles are extensively used in the model building process: system segregation and energy balancing. The model is summarized in an algorithm, whose specification is showed for different combinations of processing system type (PST) and product formulation (PF) with a single particle type. A discussion on the practical relevance of proper product identification in the case of aseptic processing, is included. Finally, an illustration is given on the results that can be obtained from the model algorithm application, in a comparative study of different PST-PF combinations.

Jose F. Pastrana; Harvey J. Gold; Kenneth R. Swanzel; Pastrana Gold; Jose F. Pastrana; Harvey J. Gold; Kenneth R. Swartzel

1992-01-01T23:59:59.000Z

145

Anaerobic Digestion Process Identification Using Recurrent Neural Network Model  

Science Conference Proceedings (OSTI)

This paper proposes the use of a Recurrent Neural Network Model (RNNM) for decentralized and centralized identification of an aerobic digestion process, carried out in a fixed bed and a recirculation tank anaerobic wastewater treatment system. The analytical ... Keywords: Recurrent neural network model, backpropagation learning, decentralized model, centralized model, system identification, anaerobic digestion bioprocess

Rosalba Galvan-Guerra; Ieroham S. Baruch

2007-11-01T23:59:59.000Z

146

Software maintenance maturity model (smmm): the software maintenance process model  

E-Print Network (OSTI)

This paper summarizes the research work leading to a Phd thesis that addresses the assessment and improvement of the software maintenance function by proposing a maturity model for daily software maintenance activities: Software Maintenance Maturity Model (SM mm) as well as its supporting knowledge based system SM Xpert. The software maintenance function suffers from a scarcity of management models to facilitate its evaluation, management, and continuous improvement. The SM mm addresses the unique activities of software maintenance while preserving a structure similar to that of the CMMi 1 maturity model. It is designed to be used as a complement to this model. The SM mm is based on practitioners experience, international standards, and the seminal literature on software maintenance. This paper presents the models purpose, scope, foundation, and architecture, followed by a knowledgebased system to help software maintainers learn and use the maturity model. 1.

Alain April; Jean-marc Desharnais

2005-01-01T23:59:59.000Z

147

Chemical kinetics models for semiconductor processing  

SciTech Connect

Chemical reactions in the gas-phase and on surfaces are important in the deposition and etching of materials for microelectronic applications. A general software framework for describing homogeneous and heterogeneous reaction kinetics utilizing the Chemkin suite of codes is presented. Experimental, theoretical and modeling approaches to developing chemical reaction mechanisms are discussed. A number of TCAD application modules for simulating the chemically reacting flow in deposition and etching reactors have been developed and are also described.

Coltrin, M.E.; Creighton, J.R. [Sandia National Labs., Albuquerque, NM (United States); Meeks, E.; Grcar, J.F.; Houf, W.G. [Sandia National Labs., Livermore, CA (United States); Kee, R.J. [Colorado School of Mines, Golden, CO (United States)

1997-12-31T23:59:59.000Z

148

Measurement and modeling of advanced coal conversion processes  

Science Conference Proceedings (OSTI)

The objective of this study are to establish the mechanisms and rates of basic steps in coal conversion processes, to integrate and incorporate this information into comprehensive computer models for coal conversion processes, to evaluate these models and to apply them to gasification, mild gasification and combustion in heat engines.

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

1991-01-01T23:59:59.000Z

149

Improving the agent-oriented modeling process by roles  

Science Conference Proceedings (OSTI)

The agent-oriented modeling process is divided in a typical sequence of activities, i.e., \\emph{requirements specification}, \\emph{analysis}, and \\emph{design}. The \\emph{requirements} are specified by descriptions of the system's functionality and by ... Keywords: agents, modeling process, roles, software engineering

Ralph Depke; Reiko Heckel; Jochen M. Kuster

2001-05-01T23:59:59.000Z

150

Towards Process Models for Disaster Response Dirk Fahland1  

E-Print Network (OSTI)

Towards Process Models for Disaster Response Dirk Fahland1 and Heiko Woith2 1 Humboldt capture process execution and adaptation. Based on experiences from actual disaster response set- tings, scenarios, Petri nets, disaster response 1 Introduction The fairly general notion of a process

151

Astrophysical models of r-process nucleosynthesis: An update  

SciTech Connect

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.

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

2012-11-12T23:59:59.000Z

152

Developing a decision model for business process outsourcing  

Science Conference Proceedings (OSTI)

Information technology (IT) outsourcing has been one of the critical issues in organization management. Business process outsourcing (BPO) is an advanced type of IT outsourcing, which will be the next big wave in information technology services. Nevertheless, ... Keywords: Analytic hierarchy process (AHP), Business process outsourcing (BPO), Decision model

Dong-Hoon Yang; Seongcheol Kim; Changi Nam; Ja-Won Min

2007-12-01T23:59:59.000Z

153

Analysis of sintering process by the mathematical model  

Science Conference Proceedings (OSTI)

A mathematical model of sintering process has been developed, in which considerations have been given to the combustion of coke, drying process of solid, the composition of lime stone and the melting and solidifying process of iron ore. Variations of ... Keywords: Numerical integration, Packed-bed simulation, Partial defferential equation

Juzo Shibata

1988-12-01T23:59:59.000Z

154

Process modeling of hydrogen production from municipal solid waste  

DOE Green Energy (OSTI)

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

Thorsness, C.B.

1995-01-01T23:59:59.000Z

155

Process-response modelling of fluvio-deltaic stratigraphy  

Science Conference Proceedings (OSTI)

Numerical modelling is a tool to investigate the controls on the formation of the stratigraphic record on geological timescales. The model presented in this paper (DELTASIM) uses a process-response approach that simulates the stratigraphy of fluvial-dominated ... Keywords: Delta development, Event based, Kura delta, Numerical model, Visual basic

Robert M. Hoogendoorn; Irina Overeem; Joep E. A. Storms

2008-10-01T23:59:59.000Z

156

A simulation model for strategic management process of software projects  

Science Conference Proceedings (OSTI)

In this study, a simulation model for the strategic management process of software development projects is presented. The proposed model simulates the implications of strategic decisions on factors such as cost, risk, budget and schedule of software ... Keywords: Cost estimation, Decision analysis systems, Risk analysis, Simulation modelling, Strategic management

Masood Uzzafer

2013-01-01T23:59:59.000Z

157

Evaluation of Generic EBS Design Concepts and Process Models Implications  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Generic EBS Design Concepts and Process Models Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization The assessment of generic Engineered Barrier System (EBS) concepts and design optimization to harbor various disposal configurations and waste types needs advanced approaches and methods to analyze barrier performance. The report addresses: 1) Overview of the importance of Thermal-Hydrological-Mechanical-Chemical (THMC) processes to barrier performance, and international collaborations; 2) THMC processes in clay barriers; 3) experimental studies of clay stability and clay-metal interactions at high temperatures and pressures; 4) thermodynamic modeling and database development; 5) Molecular Dynamics (MD) study of clay

158

Modelling and model checking suspendible business processes via statechart diagrams and CSP  

Science Conference Proceedings (OSTI)

When modelling object behaviour with UML statechart diagrams, the history mechanism can be useful for modelling the suspension of a ''normal'' business process upon certain ''abnormal'' events together with the subsequent resumption, as illustrated by ... Keywords: History mechanism, Model checking, Object behaviour, Process modelling, Statechart diagrams

W. L. Yeung; K. R. P. H. Leung; Ji Wang; Wei Dong

2007-03-01T23:59:59.000Z

159

Parallel processing in discrimination between models of dynamic systems  

Science Conference Proceedings (OSTI)

The paper considers the problem of determining an optimal observation schedule for discrimination between competing models of a dynamic process. To this end, an approach originating in optimum experimental design is applied. Its use necessitates solving ...

Bartosz Kuczewski; Przemys?aw Baranowski; Dariusz Uci?ski

2005-09-01T23:59:59.000Z

160

Signal processing in biological cells : proteins, networks, and models  

E-Print Network (OSTI)

This thesis introduces systematic engineering principles to model, at different levels of abstraction the information processing in biological cells in order to understand the algorithms implemented by the signaling pathways ...

Said, Maya Rida, 1976-

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Numerical Modeling Studies of a Process of Lee Cyclogenesis  

Science Conference Proceedings (OSTI)

A process of lee cyclogenesis associated with backsheared baroclinic flow is studied using a fully nonlinear, primitive equation numerical model. A region of low pressure and a narrow baroclinic zone develop to the southwest of the mountain in ...

Yuh-Lang Lin; Donald J. Perkey

1989-12-01T23:59:59.000Z

162

Modeling of a Signal Processing System for Aircraft Air Data...  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling of a Signal Processing System for Aircraft Air Data Instrumentation Speaker(s): Thomas John Rohloff Date: September 21, 1998 - 12:00pm Location: 90-3148 Seminar HostPoint...

163

Study on Knowledge Management Model Based on Business Process  

Science Conference Proceedings (OSTI)

As an encouraging innovation and breakthrough of management model, knowledge management is required by the management practice of hydropower development enterprises. However, there are still several limitations and insufficiencies in current practice ... Keywords: knowledge management, hydropower development enterprise, business process

Ziye Li; Youmin Xi; Jing Ge

2008-10-01T23:59:59.000Z

164

Fundamental kinetic modeling of the catalytic reforming process  

Science Conference Proceedings (OSTI)

In this work, a fundamental kinetic model for the catalytic reforming process has been developed. The complex network of elementary steps and molecular reactions occurring in catalytic reforming has been generated through a computer algorithm characterizing ...

Rogelio Sotelo-Boyas / Gilbert F. Froment; Rayford G. Anthony

2005-01-01T23:59:59.000Z

165

A Simple Parameterization of Land Surface Processes for Meteorological Models  

Science Conference Proceedings (OSTI)

A parameterization of land surface processes to be included in mesoscale and large-scale meteorological models is presented. The number of parameters has been reduced as much as possible, while attempting to preserve the representation of the ...

J. Noilhan; S. Planton

1989-03-01T23:59:59.000Z

166

Gas permeation carbon capture --- Process modeling and optimization  

SciTech Connect

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.

Morinelly, Juan; Miller, David

2011-01-01T23:59:59.000Z

167

TSPA Model Development and Sensitivity Analysis of Processes Affecting  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TSPA Model Development and Sensitivity Analysis of Processes 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 Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste The document describes the initial work on designing and developing requirements for a total system performance assessment (TSPA) model that can support preliminary safety assessments for a mined geologic repository for high-level waste (HLW) and spent nuclear fuel (SNF) in salt host rock at a generic site. A preliminary generic salt TSPA model for HLW/SNF disposal has been developed and tested for an isothermal repository in salt, for emplaced waste that is assumed to have no decay heat; for salt

168

Semantic modelling of dependency relations between life cycle analysis processes  

Science Conference Proceedings (OSTI)

Life Cycle Assessment provides a well-accepted methodology for modelling environmental impacts of human activities. This methodology relies on the decomposition of a studied system into interdependent processes. Several organisations provide processes ... Keywords: environmental information management, life cycle assessment, ontology

Benjamin Bertin; Marian Scuturici; Jean-Marie Pinon; Emmanuel Risler

2012-09-01T23:59:59.000Z

169

Artificial neural network modeling techniques applied to the hydrodesulfurization process  

Science Conference Proceedings (OSTI)

Reduction of harmful emissions in the combustion of fossil fuels imposes tighter specifications limiting the sulfur content of fuels. Hydrodesulfurization (HDS) is a key process in most petroleum refineries in which the sulfur is mostly eliminated. The ... Keywords: Hydrodesulfurization, Neural networks, Pollution, Process modeling

Enrique Arce-Medina; Jos I. Paz-Paredes

2009-01-01T23:59:59.000Z

170

Development and validation of process models for minor actinide separations processes using centrifugal contactors  

Science Conference Proceedings (OSTI)

As any future spent fuel treatment facility is likely to be based on intensified solvent extraction equipment it is important to understand the chemical and mass transfer kinetics of the processes involved. Two candidate minor actinide separations processes have been examined through a programme of modeling and experimental work to illustrate some of the issues to address in turning these technologies in to fully optimized processes suitable for industrialization. (authors)

Fox, O.D.; Carrott, M.J.; Gaubert, E.; Maher, C.J.; Mason, C.; Taylor, R.J.; Woodhead, D.A. [British Technology Centre, Nexia Solutions, Sellafield, Seascale, CA20 1PG (United Kingdom)

2007-07-01T23:59:59.000Z

171

A Simple Stochastic Model of the Precipitation Process  

Science Conference Proceedings (OSTI)

A simple and rather general model of the precipitation process is reviewed and some applications and comparisons are made using data from Sweden. This model has been used by several authors so the article is partly a survey of earlier works but ...

Hans Alexandersson

1985-12-01T23:59:59.000Z

172

A business process modeling notation extension for risk handling  

Science Conference Proceedings (OSTI)

During the years of prosperity, numerous organizations neglected numerous aspects of risk management. As systematic approach to handling identified risks is crucial to achieving success by the organization, modern business modeling standards and techniques ... Keywords: BPMN extension, business process modeling notation, risk management

Bartosz Marcinkowski; Michal Kuciapski

2012-09-01T23:59:59.000Z

173

Pultrusion manufacturing process development by computational modelling and methods  

Science Conference Proceedings (OSTI)

This paper deals with the modelling and development of computational schemes to simulate pultrusion processes. Two different computational methods, finite differences and elements, are properly developed and critically analyzed. The methods are applied ... Keywords: Degree of cure, Finite difference method, Finite element method, Numerical modelling, Pultrusion, Temperature

P. Carlone; G. S. Palazzo; R. Pasquino

2006-10-01T23:59:59.000Z

174

Process Modelling of Extrusion of AA3xxx Aluminum Alloys  

Science Conference Proceedings (OSTI)

In this project, the following process related models have been developed: i) a ... Model for Grain Growth and Compositional Evolution in Nuclear Fuels ... Computational Methods for New Materials Development: The Atoms to Airplanes Concept ... Interactive Data Storage and Collaboration Tools for ICME Research .

175

New process model proves accurate in tests on catalytic reformer  

Science Conference Proceedings (OSTI)

A mathematical model has been devised to represent the process that takes place in a fixed-bed, tubular, adiabatic catalytic reforming reactor. Since its development, the model has been applied to the simulation of a commercial semiregenerative reformer. The development of mass and energy balances for this reformer led to a model that predicts both concentration and temperature profiles along the reactor. A comparison of the model's results with experimental data illustrates its accuracy at predicting product profiles. Simple steps show how the model can be applied to simulate any fixed-bed catalytic reformer.

Aguilar-Rodriguez, E.; Ancheyta-Juarez, J. (Inst. Mexicano del Petroleo, Mexico City (Mexico))

1994-07-25T23:59:59.000Z

176

Gaussian Process Modeling: Applications to Building Systems and Algorithmic  

NLE Websites -- All DOE Office Websites (Extended Search)

Gaussian Process Modeling: Applications to Building Systems and Algorithmic Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Speaker(s): Victor M. Zavala Date: November 5, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette Michael Sohn We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition, it derives from a Bayesian framework and, as such, it naturally provides predictive probability distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and

177

March 23, 2008 DB:EER Model -1 1 Informal Design Guidelines  

E-Print Network (OSTI)

March 23, 2008 DB:EER Model - 1 1 Informal Design Guidelines #12;March 23, 2008 DB:EER Model - 1 2 Design Guidelines for Relational Schema + #12;March 23, 2008 DB:EER Model - 1 3 - Measuring the Quality, 2008 DB:EER Model - 1 4 - Database Design Methodology A Bottom-Up Method We start by identifying all

Adam, Salah

178

MOUNTAIN-SCALE COUPLED PROCESSES (TH/THC/THM)MODELS  

SciTech Connect

This report documents the development and validation of the mountain-scale thermal-hydrologic (TH), thermal-hydrologic-chemical (THC), and thermal-hydrologic-mechanical (THM) models. These models provide technical support for screening of features, events, and processes (FEPs) related to the effects of coupled TH/THC/THM processes on mountain-scale unsaturated zone (UZ) and saturated zone (SZ) flow at Yucca Mountain, Nevada (BSC 2005 [DIRS 174842], Section 2.1.1.1). The purpose and validation criteria for these models are specified in ''Technical Work Plan for: Near-Field Environment and Transport: Coupled Processes (Mountain-Scale TH/THC/THM, Drift-Scale THC Seepage, and Drift-Scale Abstraction) Model Report Integration'' (BSC 2005 [DIRS 174842]). Model results are used to support exclusion of certain FEPs from the total system performance assessment for the license application (TSPA-LA) model on the basis of low consequence, consistent with the requirements of 10 CFR 63.342 [DIRS 173273]. Outputs from this report are not direct feeds to the TSPA-LA. All the FEPs related to the effects of coupled TH/THC/THM processes on mountain-scale UZ and SZ flow are discussed in Sections 6 and 7 of this report. The mountain-scale coupled TH/THC/THM processes models numerically simulate the impact of nuclear waste heat release on the natural hydrogeological system, including a representation of heat-driven processes occurring in the far field. The mountain-scale TH simulations provide predictions for thermally affected liquid saturation, gas- and liquid-phase fluxes, and water and rock temperature (together called the flow fields). The main focus of the TH model is to predict the changes in water flux driven by evaporation/condensation processes, and drainage between drifts. The TH model captures mountain-scale three-dimensional flow effects, including lateral diversion and mountain-scale flow patterns. The mountain-scale THC model evaluates TH effects on water and gas chemistry, mineral dissolution/precipitation, and the resulting impact to UZ hydrologic properties, flow and transport. The mountain-scale THM model addresses changes in permeability due to mechanical and thermal disturbances in stratigraphic units above and below the repository host rock. The THM model focuses on evaluating the changes in UZ flow fields arising out of thermal stress and rock deformation during and after the thermal period (the period during which temperatures in the mountain are significantly higher than ambient temperatures).

Y.S. Wu

2005-08-24T23:59:59.000Z

179

Key computational modeling issues in Integrated Computational Materials Engineering  

Science Conference Proceedings (OSTI)

Designing materials for targeted performance requirements as required in Integrated Computational Materials Engineering (ICME) demands a combined strategy of bottom-up and top-down modeling and simulation which treats various levels of hierarchical material ... Keywords: Databases, ICME, Materials design, Multiscale modeling, Uncertainty

Jitesh H. Panchal; Surya R. Kalidindi; David L. Mcdowell

2013-01-01T23:59:59.000Z

180

Energyenvironment policy modeling of endogenous technological change with personal vehicles  

E-Print Network (OSTI)

reserved. Keywords: Greenhouse gas; Hybrid cost models; Transportation emissions policy; Bottom-up; Top-down; Technological change; Greenhouse gas abatement policy 1. Introduction A major challenge for greenhouse gas (GHGMETHODS Energy­environment policy modeling of endogenous technological change with personal

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Initiative to improve process representation in chemistry-climate models  

SciTech Connect

The Atmospheric Chemistry and Climate Initiative (AC&C) will address the current large uncertainties in our understanding of chemistry-climate interactions for short-lived atmospheric chemical constituents (e.g. aerosols, ozone, and methane). Understanding what controls the distribution of these species, how they affect climate, and how their distributions might change with a changing climate are important for air quality and climate forecasts. AC&C will address this issue in its first phase through a series of modeling exercises designed to test models ability to reproduce observed changes in these species distributions, to produce a set of coordinated forecasts for their future distribution, and to understand how processes are represented in different models. Observational databases will be used to test the models and to better understand processes represented in the models. This article describes the plans for this first phase of activities and seeks participation from the research community.

Doherty, Sarah J.; Rasch, Philip J.; Ravishankara, A.R.

2009-06-16T23:59:59.000Z

182

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

Science Conference Proceedings (OSTI)

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.

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

2010-02-23T23:59:59.000Z

183

Mathematical Formulation Requirements and Specifications for the Process Models  

Science Conference Proceedings (OSTI)

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.

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

2010-11-01T23:59:59.000Z

184

Modeling biofilm processes using the immersed boundary method  

SciTech Connect

Biofilm processes are of interest to researchers in a variety of fields including bioremediation, oil recovery, waste water treatment, medicine, and dentistry. In this paper we describe how this complex, dynamic, fluid-structure interaction can be modeled successfully using the immersed boundary method. The model presented here includes the coupling of hydrodynamics; substrate reaction, diffusion, and convection; as well as the chemotactic response of swimming microbes. Cell-cell aggregation and cell-substratum adhesion are modeled by generating appropriate binding forces between discrete representations of organisms that may hold them together, or if fluid stresses are large, may yield and release the organisms. In this paper, we show two-dimensional numerical simulations to demonstrate several different types of scenarios that may be modeled using immersed boundary methods. These simulations indicate the variety of different phenomena one might expect in biofilm processes. 24 refs., 8 figs., 2 tabs.

Dillon, R.; Fauci, L. [Tulane Univ., New Orleans, LA (United States); Fogelson, A. [Univ. of Utah, Salt Lake City, UT (United States)] [and others

1996-11-01T23:59:59.000Z

185

Modeling PWR Fuel Corrosion Product Deposition and Growth Processes  

Science Conference Proceedings (OSTI)

Development of axial offset anomaly (AOA) in pressurized water reactors (PWRs) drove industry to conduct crud scrape campaigns at a number of units to characterize and better understand the material being deposited on the fuel clad surface. This report describes the first phase of a program to develop models that describe the crud deposition and growth process, including the many phenomena that influence not only the deposit mass, but the composition. The models will be benchmarked against published crud...

2004-12-09T23:59:59.000Z

186

Evolution of quantum-like modeling in decision making processes  

SciTech Connect

The application of the mathematical formalism of quantum mechanics to model behavioral patterns in social science and economics is a novel and constantly emerging field. The aim of the so called 'quantum like' models is to model the decision making processes in a macroscopic setting, capturing the particular 'context' in which the decisions are taken. Several subsequent empirical findings proved that when making a decision people tend to violate the axioms of expected utility theory and Savage's Sure Thing principle, thus violating the law of total probability. A quantum probability formula was devised to describe more accurately the decision making processes. A next step in the development of QL-modeling in decision making was the application of Schroedinger equation to describe the evolution of people's mental states. A shortcoming of Schroedinger equation is its inability to capture dynamics of an open system; the brain of the decision maker can be regarded as such, actively interacting with the external environment. Recently the master equation, by which quantum physics describes the process of decoherence as the result of interaction of the mental state with the environmental 'bath', was introduced for modeling the human decision making. The external environment and memory can be referred to as a complex 'context' influencing the final decision outcomes. The master equation can be considered as a pioneering and promising apparatus for modeling the dynamics of decision making in different contexts.

Khrennikova, Polina [School of Management, University of Leicester, University Road Leicester LE1 7RH (United Kingdom)

2012-12-18T23:59:59.000Z

187

Measurement and modeling of advanced coal conversion processes, Volume III  

SciTech Connect

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

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

1993-08-01T23:59:59.000Z

188

A dimensionless parameter model for arc welding processes  

SciTech Connect

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

Fuerschbach, P.W.

1994-12-31T23:59:59.000Z

189

The Pantex Process model: Formulations of the evaluation planning module  

SciTech Connect

This paper describes formulations of the Evaluation Planning Module that have been developed since its inception. This module is one of the core algorithms in the Pantex Process Model, a computerized model to support production planning in a complex manufacturing system at the Pantex Plant, a US Department of Energy facility. Pantex is responsible for three major DOE programs -- nuclear weapons disposal, stockpile evaluation, and stockpile maintenance -- using shared facilities, technicians, and equipment. The model reflects the interactions of scheduling constraints, material flow constraints, and the availability of required technicians and facilities.

JONES,DEAN A.; LAWTON,CRAIG R.; LIST,GEORGE FISHER; TURNQUIST,MARK ALAN

1999-12-01T23:59:59.000Z

190

Industrial experiences from multi-paradigmatic modelling of signal processing  

Science Conference Proceedings (OSTI)

Embedded software is often composed of interacting domains. A common problem is that the implementation intertwines the different domain solutions with each other and the platform-specific details. The result is a code mass that is hard to understand, ... Keywords: case study, digital signal processing, executable software models, telecommunications industry

Hkan Burden; Rogardt Heldal; Martin Lundqvist

2012-10-01T23:59:59.000Z

191

Software process simulation modeling: an extended systematic review  

Science Conference Proceedings (OSTI)

Software Process Simulation Modeling (SPSM) research has increased in the past two decades, especially since the first ProSim Workshop held in 1998. Our research aims to systematically assess how SPSM has evolved during the past 10 years in particular ...

He Zhang; Barbara Kitchenham; Dietmar Pfahl

2010-07-01T23:59:59.000Z

192

MPS Model-Based Software Acquisition Process Improvement in Brazil  

Science Conference Proceedings (OSTI)

This paper describes an initiative to improve software acquisition process in Brazil. This initiative was conducted in the context of the MPS.BR Program, a nationwide effort to develop and disseminate the MPS Model both in large organizations and Small ...

Kival Chaves Weber; Eratostenes Edson Ramalho de Araujo; Danilo Scalet; Edmeia Leonor Pereira de Andrade; Ana Regina Cavalcanti da Rocha; Mariano Angel Montoni

2007-09-01T23:59:59.000Z

193

Intermittency in soft hadronic processes and Zip-model  

E-Print Network (OSTI)

Abstract A low constituent number scheme based on the nontrivial gluon string splitting (the Zip--model) is shown to yield a substantial intermittency for soft hadronic processes. With a simplest addition of the Bose--Einstein correlations the remarkable agreement with the NA22 experimental data on rapidity factorial moments is reached.

Gurvich, E G; Sarkisyan-Grinbaum, E

1994-01-01T23:59:59.000Z

194

Intermittency in soft hadronic processes and Zip-model  

E-Print Network (OSTI)

A low constituent number scheme based on the nontrivial gluon string splitting (the Zip--model) is shown to yield a substantial intermittency for soft hadronic processes. With a simplest addition of the Bose--Einstein correlations the remarkable agreement with the NA22 experimental data on rapidity factorial moments is reached.

E. G. Gurvich; G. G. Leptoukh; E. K. Sarkisyan

1994-01-07T23:59:59.000Z

195

System of models for transport processes in layered strata  

Science Conference Proceedings (OSTI)

In this paper the normalized form of the generalized integral parabolic spline is described, which interpolates the integral averaged values of piecewise-smooth function. The three-dimensional system of partial differential equations as model of transport ... Keywords: conservative averaging, integral spline, layered media, three-dimensional, transport processes

Margarita Buike; Andris Buikis

2006-12-01T23:59:59.000Z

196

A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND  

E-Print Network (OSTI)

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

Kallsen, Jan

197

Estimation of landfill emission lifespan using process oriented modeling  

SciTech Connect

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.

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

2006-07-01T23:59:59.000Z

198

Model reference adaptive temperature control of the electromagnetic oven process in manufacturing process  

Science Conference Proceedings (OSTI)

Nowadays, the electromagnetic ovens are used for heating the component assembly of electronic manufacturing. The control systems of the electromagnetic ovens are feedback control system and PID controller are used to control their temperature. This process ... Keywords: control theory, response optimization and model reference adaptive system

Jiraphon Srisertpol; Supot Phungphimai

2010-02-01T23:59:59.000Z

199

Coupled Electromagnetic and Thermal Modeling of Microwave Tissue Processing  

E-Print Network (OSTI)

This study deals with 3D finite element modeling of microwave tissue processing using Comsol software 4.0. Maxwells equations are coupled with heat conduction equation to determine electromagnetic field distribution and temperature profile within tissue sample in a reagent inside a domestic microwave oven. The microwave power generation term is calculated. Also, temperature distribution obtained is compared with experimental point measurements recorded in the centre of the tissue using a shielded K type thermocouple. Good agreement is found between numerical and experimental data. The effect of size of both reagent and tissue as well as tissue type on microwave heating patterns within tissue sample is investigated. Studies shows that the reagent volume has greater effect than other factors. The results of the study is considered as a basic foundation for development of coupled electromagnetic thermal models of microwave heating of tissue specimens. The model assists in choosing appropriate process parameters for achieving uniform temperature distribution within tissue specimen.

Osama A Hassan; Ahmed H K; Il Ences; Ahmed M El Bialy

2013-01-01T23:59:59.000Z

200

Simplified economic screening models for enhanced oil recovery processes  

Science Conference Proceedings (OSTI)

The effective screening of reservoirs for implementation of enhanced oil recovery processes is critical to the financial success of a proposed project. Screening techniques that have been used in the past normally consisted of comparing individual reservoir and fluid properties with tables of the preferred values of these properties. The shortcoming of this procedure is that it does not account for interactions among the technical parameters, nor does it provide a measure of the economic attractiveness of the project. Intercomp has developed, under the sponsorship of the Bartlesville Energy Technology Center of DOE, a set of economic screening models for micellar-polymer, steam drive and CO/sub 2/ miscible EOR processes. These models include accurate oil production predictive algorithms and routines which provide measures of economic attractiveness based on time value of money economics. The formulation of these models is presented with examples of their use.

Paul, G.W.; Ford, M.

1982-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Materials measurement and accounting in an operating plutonium conversion and purification process. Phase I. Process modeling and simulation. [PUCSF code  

SciTech Connect

A model of an operating conversion and purification process for the production of reactor-grade plutonium dioxide was developed as the first component in the design and evaluation of a nuclear materials measurement and accountability system. The model accurately simulates process operation and can be used to identify process problems and to predict the effect of process modifications.

Thomas, C.C. Jr.; Ostenak, C.A.; Gutmacher, R.G.; Dayem, H.A.; Kern, E.A.

1981-04-01T23:59:59.000Z

202

Three-dimensional modelling and geothermal process simulation  

DOE Green Energy (OSTI)

The subsurface geological model or 3-D GIS is constructed from three kinds of objects, which are a lithotope (in boundary representation), a number of fault systems, and volumetric textures (vector fields). The chief task of the model is to yield an estimate of the conductance tensors (fluid permeability and thermal conductivity) throughout an array of voxels. This is input as material properties to a FEHM numerical physical process model. The main task of the FEHM process model is to distinguish regions of convective from regions of conductive heat flow, and to estimate the fluid phase, pressure and flow paths. The temperature, geochemical, and seismic data provide the physical constraints on the process. The conductance tensors in the Franciscan Complex are to be derived by the addition of two components. The isotropic component is a stochastic spatial variable due to disruption of lithologies in melange. The deviatoric component is deterministic, due to smoothness and continuity in the textural vector fields. This decomposition probably also applies to the engineering hydrogeological properties of shallow terrestrial fluvial systems. However there are differences in quantity. The isotropic component is much more variable in the Franciscan, to the point where volumetric averages are misleading, and it may be necessary to select that component from several, discrete possible states. The deviatoric component is interpolated using a textural vector field. The Franciscan field is much more complicated, and contains internal singularities. 27 refs., 10 figs.

Burns, K.L.

1990-01-01T23:59:59.000Z

203

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

SciTech Connect

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.

Sanfilippo, Antonio P.; Nibbs, Faith G.

2007-08-24T23:59:59.000Z

204

Modeling of a Signal Processing System for Aircraft Air Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling of a Signal Processing System for Aircraft Air Data Modeling of a Signal Processing System for Aircraft Air Data Instrumentation Speaker(s): Thomas John Rohloff Date: September 21, 1998 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Joan M. Daisey The velocity, attitude and altitude of flight vehicles have typically been measured with booms that extend from the vehicle surface out into the flow field. However, this arrangement was found to be unacceptable for certain flight applications. Instrumentation was therefore developed by other researchers to measure the flight parameters using an array of pressure measurements located on the surface of the vehicle. The relationship between these pressure measurements and the air data is a complex non-linear function that is not easily described with simple aerodynamic

205

Modeling for Process Control: High-Dimensional Systems  

SciTech Connect

Most of other technologically important systems (among them, powders and other granular systems) are intrinsically nonlinear. This project is focused on building the dynamical models for granular systems as a prototype for nonlinear high-dimensional systems exhibiting complex non-equilibrium phenomena. Granular materials present a unique opportunity to study these issues in a technologically important and yet fundamentally interesting setting. Granular systems exhibit a rich variety of regimes from gas-like to solid-like depending on the external excitation. Based the combination of the rigorous asymptotic analysis, available experimental data and nonlinear signal processing tools, we developed a multi-scale approach to the modeling of granular systems from detailed description of grain-grain interaction on a micro-scale to continuous modeling of large-scale granular flows with important geophysical applications.

Lev S. Tsimring

2008-09-15T23:59:59.000Z

206

COMPUTER MODEL AND SIMULATION OF A GLOVE BOX PROCESS  

Science Conference Proceedings (OSTI)

The development of facilities to deal with the disposition of nuclear materials at an acceptable level of Occupational Radiation Exposure (ORE) is a significant issue facing the nuclear community. One solution is to minimize the worker's exposure though the use of automated systems. However, the adoption of automated systems for these tasks is hampered by the challenging requirements that these systems must meet in order to be cost effective solutions in the hazardous nuclear materials processing environment. Retrofitting current glove box technologies with automation systems represents potential near-term technology that can be applied to reduce worker ORE associated with work in nuclear materials processing facilities. Successful deployment of automation systems for these applications requires the development of testing and deployment strategies to ensure the highest level of safety and effectiveness. Historically, safety tests are conducted with glove box mock-ups around the finished design. This late detection of problems leads to expensive redesigns and costly deployment delays. With wide spread availability of computers and cost effective simulation software it is possible to discover and fix problems early in the design stages. Computer simulators can easily create a complete model of the system allowing a safe medium for testing potential failures and design shortcomings. The majority of design specification is now done on computer and moving that information to a model is relatively straightforward. With a complete model and results from a Failure Mode Effect Analysis (FMEA), redesigns can be worked early. Additional issues such as user accessibility, component replacement, and alignment problems can be tackled early in the virtual environment provided by computer simulation. In this case, a commercial simulation package is used to simulate a lathe process operation at the Los Alamos National Laboratory (LANL). The Lathe process operation is indicative of most glove box operations and demonstrates the ability and advantages of advance computer based modeling. The three-dimensional model also enables better comprehension of problems to non-technical staff. There are many barriers to the seamless integration between the initial design specifications and a computer simulation. Problems include the lack of a standard model and inexact manufacturing of components used in the glove box. The benefits and drawbacks are discussed; however, the results are useful.

C. FOSTER; ET AL

2001-01-01T23:59:59.000Z

207

Modeling Coupled Processes in Clay Formations for Radioactive Waste Disposal  

Science Conference Proceedings (OSTI)

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.

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

2010-08-31T23:59:59.000Z

208

Modelling and simulation of process configurations combining distillation and reaction.  

E-Print Network (OSTI)

??Process intensification refers to technologies and strategies that enable simpler and more efficient processes compared to conventional processes. Some features of such intensified processes are (more)

Jakobsson, Kaj

2005-01-01T23:59:59.000Z

209

Modelling and Simulation of Process Configurations Combining Distillation and Reaction.  

E-Print Network (OSTI)

??Process intensification refers to technologies and strategies that enable simpler and more efficient processes compared to conventional processes. Some features of such intensified processes are (more)

Jakobsson, Kaj

2005-01-01T23:59:59.000Z

210

Multiscale/Multiphysics Modeling of Biomass Thermochemical Processes  

SciTech Connect

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

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

2010-01-01T23:59:59.000Z

211

Autonomous Units to Model Interacting Sequential and Parallel Processes  

E-Print Network (OSTI)

In this paper, we introduce the notion of a community of autonomous units as a rulebased and graph-transformational device to model processes that run interactively but independently of each other in a common environment. The main components of an autonomous unit are a set of rules, a control condition, and a goal. Every autonomous unit transforms graphs by applying its rules so that the control condition is satisfied. If the goal is reached the resulting transformation process is successful. A community contains a set of autonomous units, an initial environment specification, and an overall goal. In every transformation process of a community the autonomous units interact via their common environment. As an example, the game Ludo is modeled as a community of selfcontrolled players who interact on a common board. The emphasis of the presented approach is laid on the study of the formal semantics of a community as a whole and of each of its member units separately. In particular, a sequential as well as a parallel semantics is introduced, and communities with parallel semantics are compared with Petri nets, cellular automata, and multiagent systems.

Karsten Hlscher; Hans-Jrg Kreowski; Sabine Kuske

2009-01-01T23:59:59.000Z

212

Model choice considerations and information integration using analytical hierarchy process  

SciTech Connect

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.

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

2010-10-15T23:59:59.000Z

213

Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater New Rifle Processing Site, Colorado  

Energy.gov (U.S. Department of Energy (DOE))

Analysis and Geochemical Modeling of Vanadium Contamination in Groundwater New Rifle Processing Site, Colorado

214

Modeling of the in-situ vitrification process  

SciTech Connect

In situ vitrification (ISV) is a thermal treatment process that converts contaminated soil into a durable, leach-resistant product similar to obsidian or basalt. The process, which was developed by Pacific Northwest Laboratory (PNL) for remediation of contaminated soil, is now in the field demonstration and implementation stage. Demonstration tests using the US Department of Energy (DOE)-owned large-scale system are underweight or planned for applications at Hanford and other DOE sites, including the Idaho National Engineering Laboratory, Oak Ridge National Laboratory, and the Savannah River Site. In addition, a private company, Geosafe Corporation, is beginning remediation of commercial contaminated soil sites. A mathematical and computer model has been developed at PNL as a predictive tool to assist engineers and researchers in the application of ISV to different sites. The model, currently configured on a Macintosh personal computer, predicts vitrification time, depth, width, and electrical consumption based on user inputs of electrode configuration, soil parameters, and molten glass characteristics. The model time and depth predications are useful for operations planning, cost estimates, and site selection. Additionally, the depth and width predictions will be used to direct ISV operations to ensure that the contaminated area is completely vitrified and to help mitigate the effect of ISV on adjacent structures. 1 ref., 8 figs.

Koegler, S.S.; Kindle, C.H.

1990-04-01T23:59:59.000Z

215

Model and Analytic Processes for Export License Assessments  

SciTech Connect

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.

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

2011-09-29T23:59:59.000Z

216

Spatial process and data models : toward integration of agent-based models and GIS.  

Science Conference Proceedings (OSTI)

The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological. We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based models.

Brown, D. G.; North, M. J.; Robinson, D. T.; Riolo, R.; Rand, W.; Decision and Information Sciences; Univ. of Michigan

2007-10-01T23:59:59.000Z

217

Fundamental kinetic modeling of the catalytic reforming process  

E-Print Network (OSTI)

In this work, a fundamental kinetic model for the catalytic reforming process has been developed. The complex network of elementary steps and molecular reactions occurring in catalytic reforming has been generated through a computer algorithm characterizing the various species by vectors and Boolean relation matrices. The algorithm is based on the fundamental chemistry occurring on both acid and metal sites of the catalyst. Rates are expressed for each of the elementary steps involved in the transformation of the intermediates. The Hougen-Watson approach is used to express the rates of the molecular reactions occurring on the metal sites of the catalyst. The single event approach is used to account for the effect of structure of reactant and activated complex on the rate coefficients of the elementary steps occurring on the acid sites. This approach recognizes that even if the number of elementary steps is very large they belong to a very limited number of types, and therefore it is possible to express the kinetics of elementary steps by a reduced number of parameters. In addition, the single event approach leads to rate coefficients that are independent of the feedstock, due to their fundamental chemical nature. The total number of parameters at isothermal conditions is 45. To estimate these parameters, an objective function based upon the sum of squares of the residuals was minimized through the Marquardt algorithm. Intraparticle mass transport limitations and deactivation of the catalyst by coke formation are considered in the model. Both the Wilke and the Stefan-Maxwell approaches were used to calculate the concentration gradients inside of the particle. The heterogeneous kinetic model was applied in the simulation of the process for typical industrial conditions for both axial and radial flow fixed bed reactors. The influence of the main process variables on the octane number and reformate volume was investigated and optimal conditions were obtained. Additional aspects studied with the kinetic model are the reduction of aromatics, mainly benzene. The results from the simulations agree with the typical performance found in the industrial process.

Sotelo-Boyas, Rogelio

2005-12-01T23:59:59.000Z

218

Urgency/Emergency Health Processes' Modelling: A Case Study  

E-Print Network (OSTI)

The growing complexity and sophistication of the organizational information systems, and hospital ones particularly, render difficult their comprehension and, consequently, the implementation of control mechanisms that may assure, at all times, the auditability of the above mentioned systems, without having to use models. This paper, framed in a wider investigation, aims to describe the application of techniques and methodologies, in the sphere of action of Organizational Engineering, in the modelling of business processes developed in the main Operating Theatre of the Coimbra's University Hospital Emergency Service, as a support for the implementation of an information system architecture, using for that purpose the CEO framework, developed and suggested by the Centre for Organizational Engineering (CEO), based on the UML language.

Santos, Carlos; Ferreira, Carla; Tribolet, Jos

2011-01-01T23:59:59.000Z

219

Expert judgement in cost estimating: Modelling the reasoning process  

E-Print Network (OSTI)

Expert Judgement (EJ) is used extensively during the generation of cost estimates. Cost estimators have to make numerous assumptions and judgements about what they think a new product will cost. However, the use of EJ is often frowned upon, not well accepted or understood by non-cost estimators within a concurrent engineering environment. Computerised cost models, in many ways, have reduced the need for EJ but by no means have they, or can they, replace it. The cost estimates produced from both algorithmic and non-algorithmic cost models can be widely inaccurate; and, as the work of this paper highlights, require extensive use of judgement in order to produce a meaningful result. Very little research tackles the issues of capturing and integrating EJ and rationale into the cost estimating process. Therefore, this

Christopher Rush; Rajkumar Roy

2001-01-01T23:59:59.000Z

220

A modelling approach to study learning processes with a focus on knowledge creation  

Science Conference Proceedings (OSTI)

In this paper, we present a modelling approach to study learning processes. We introduce the process/pedagogy/tools model and shown how its assembly-line style of process modelling can be used to describe which pedagogical aspects and which tools ... Keywords: LISREL method, SECI process framework, e-learning, knowledge conversion, knowledge creation, learning processes, online learning, pedagogical research, process modelling, validation, web-based learning

Ambjorn Naeve; Pertti Yli-Luoma; Milos Kravcik; Miltiadis D. Lytras

2008-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Gold Standard Program Model | Open Energy Information  

Open Energy Info (EERE)

Gold Standard Program Model Gold Standard Program Model Jump to: navigation, search Tool Summary Name: Gold Standard Program Model Agency/Company /Organization: World Wildlife Fund Sector: Climate, Energy User Interface: Other Complexity/Ease of Use: Moderate Website: www.cdmgoldstandard.org/project-certification/rules-and-toolkit Cost: Paid Related Tools Environmental Benefits Mapping and Analysis Program (BenMAP) MIT Emissions Prediction and Policy Analysis (EPPA) Model ProForm ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A bottom-up method of certifying Kyoto Protocol Clean Development Mechanism projects and voluntary programs that result in verifiable co-benefits. Approach It is a bottom up method of certifying Kyoto Protocol Clean Development Mechanism projects as well as voluntary programs that result in verifiable

222

Analysis of inverter models and harmonic propagation. Part III. Transient processes in inverter models  

SciTech Connect

Part III of a three part study presents the theoretical analysis and the experimental verification of transient processes that arise in the photovoltaic power system during its normal commutational operations. A general description of the transient processes problem and the method of analysis is presented. The transient processes in the inverter model with an inductive filter are analyzed for both the discontinuous and the continuous currents on the dc side of the inverter, and the problem of transient processes due to the change in illumination level is discussed. Transient processes in the inverter model with capacitive filter are analyzed with special emphasis on the process that arises in the photovoltaic power system immediately after the first ignition of the thyristors. The influence of the operating point of the solar cell array on the transient process is discussed. A sequence for optimal operations is recommended. Part I of the study (SAND 7040/1) contains a detailed description of the microcomputer based simulator that represents the output characteristics of the five commercially available types of solar cell arrays under different environmental conditions, and Part II (SAND 7040/2) describes the harmonics in the photovoltaic power system.

Slonim, M.A.; Stanek, E.K.

1984-09-01T23:59:59.000Z

223

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

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)?

Beverly Law; David Turner; Warren Cohen; Mathias Goeckede

2008-05-22T23:59:59.000Z

224

Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems  

NLE Websites -- All DOE Office Websites (Extended Search)

FCC-70 FCC-70 Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems John Rugh National Renewable Energy Laboratory Copyright © 2002 Society of Automotive Engineers, Inc. ABSTRACT The air-conditioning (A/C) system compressor load can significantly impact the fuel economy and tailpipe emissions of conventional and hybrid electric automobiles. With the increasing emphasis on fuel economy, it is clear that the A/C compressor load needs to be reduced. In order to accomplish this goal, more efficient climate control delivery systems and reduced peak soak temperatures will be necessary to reduce the impact of vehicle A/C systems on fuel economy and tailpipe emissions. Good analytical techniques are important in identifying promising concepts. The goal at

225

National Environmental Policy Act guidance: A model process  

Science Conference Proceedings (OSTI)

The ``Model National Environmental Policy Act (NEPA) Process`` includes: References to regulations, guidance documents, and plans; training programs; procedures; and computer databases. Legislative Acts and reference documents from Congress, US Department of Energy, and Lockheed Idaho Technologies Company provide the bases for conducting NEPA at the Idaho National Engineering Laboratory (INEL). Lockheed Idaho Technologies Company (LITCO) NEPA / Permitting Department, the Contractor Environmental Organization (CEO) is responsible for developing and maintaining LITCO NEPA and permitting policies, guidance, and procedures. The CEO develops procedures to conduct environmental evaluations based on NEPA, Council on Environmental Quality (CEQ) regulations, and DOE guidance. This procedure includes preparation or support of environmental checklists, categorical exclusion determinations, environmental assessment determinations, environmental assessments, and environmental impact statements. In addition, the CEO uses this information to train personnel conducting environmental evaluations at the INEL. Streamlining these procedures fosters efficient use of resources, quality documents, and better decisions on proposed actions.

Angle, B.M.; Lockhart, V.A.T.; Sema, B.; Tuott, L.C.; Irving, J.S.

1995-04-01T23:59:59.000Z

226

Adaptive model predictive process control using neural networks  

DOE Patents (OSTI)

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.

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

1997-01-01T23:59:59.000Z

227

Adaptive model predictive process control using neural networks  

DOE Patents (OSTI)

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.

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

1997-08-19T23:59:59.000Z

228

A static compliance-checking framework for business process models  

Science Conference Proceedings (OSTI)

Regulatory compliance of business operations is a critical problem for enterprises. As enterprises increasingly use business process management systems to automate their business processes, technologies to automatically check the compliance of process ...

Y. Liu; S. Mller; K. Xu

2007-04-01T23:59:59.000Z

229

Evaluating Energy Efficiency Policies with Energy-Economy Models  

SciTech Connect

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.

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

2010-08-01T23:59:59.000Z

230

Using a Business Process Model as a Central Organizing Construct for an Undergraduate Weather Forecasting Course  

Science Conference Proceedings (OSTI)

For the last five years, the author has employed a business process model as a central organizing construct for the senior-level Forecasting Techniques course at Embry- Riddle Aeronautical University's Daytona Beach, Florida, campus. The process model ...

John M. Lanicci

2012-05-01T23:59:59.000Z

231

3D CAD modeling and visualization of the tunnel construction process in a distributed simulation environment  

Science Conference Proceedings (OSTI)

Computer simulation has been successfully implemented in the construction industry for the decision making process; however, current modeling approaches focus mainly on process modeling and cannot integrate or assimilate information from different software. ...

Yang Zhang; Elmira Moghani; Simaan M. AbouRizk; Siri Fernando

2010-12-01T23:59:59.000Z

232

Modeling of Glass Making Processes for Improved Efficiency  

SciTech Connect

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

Thomas P. Seward III

2003-03-31T23:59:59.000Z

233

Intelligent process modeling and optimization of die-sinking electric discharge machining  

Science Conference Proceedings (OSTI)

This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial ... Keywords: Artificial neural networks (ANN), Electric discharge machining (EDM), Finite element method (FEM), Non-dominated sorting genetic algorithm (NSGA), Process modeling and optimization, Scaled conjugate gradient algorithm (SCG)

S. N. Joshi; S. S. Pande

2011-03-01T23:59:59.000Z

234

BaF2for microlithography applications: Modeling, simulation and optimization of the crystal growth process  

Science Conference Proceedings (OSTI)

Optimization is the ultimate goal of numerical modeling of crystal growth processes. We present the most important physical phenomena to establish a numerical process model for an industrial vertical gradient freeze (VGF) process of barium fluoride (BaF"2). ... Keywords: 44.05.+e, 81.10.Fq, Heat and mass transfer, Heat radiation, Process optimization

Rainer Backofen; Angel Ribalta; Axel Voigt; Dirk Wulff-Molder

2007-06-01T23:59:59.000Z

235

A study on process evaluation and selection model for business process management  

Science Conference Proceedings (OSTI)

Currently, BPM is considered as the suitable framework for today's process-centric trends and BPM may result in considerable rewards for companies adopting it. For successful BPM initiative, the selection of suitable processes for BPM is very important. ... Keywords: Balanced scorecard, Business process management, Fuzzy AHP, Process selection criteria

Chiwoon Cho; Seungsin Lee

2011-05-01T23:59:59.000Z

236

Modeling dynamic substitution processes in energy supply systems  

SciTech Connect

Dynamic substitution processes between energy-conversion techniques are very important phenomena for the restructuring of energy systems. Using the method of synergetics, the authors develop a probabilistic model framework for individual decisions and their effects on the macroscopic configuration of energy supply systems. The derived probability transition rates are associated with socioeconomic parameters that are the basis for individual decisions. The authors state preliminary results of a case study for the room heating of private households in the former West Germany, which are based on a small data sample and a nonrepresentative poll. They find that the number of heating systems of one type, which are already installed, their ease of use, and the cost are the most important parameters for the selection of a new heating system. Using the estimated parameters, they simulate the diffusion of a new type of heating system, which is regarded as better than all the others, into the energy supply system. Its market share will reach 11--18% after 35 years.

Christian, M.; Groscurth, H.M.

1995-05-01T23:59:59.000Z

237

Lattice Boltzmann model for free-surface flow and its application to filling process in casting  

Science Conference Proceedings (OSTI)

A generalized lattice Boltzmann model to simulate free-surface is constructed in both two and three dimensions. The proposed model satisfies the interfacial boundary conditions accurately. A distinctive feature of the model is that the collision processes ... Keywords: advection-schemes, filling processes, free-surface phenomena, injection molding;, interface boundary conditions, lattice Boltzmann models, upwind-schemes, volume of fluid method

Irina Ginzburg; Konrad Steiner

2003-02-01T23:59:59.000Z

238

Quality indicators for business process models from a gateway complexity perspective  

Science Conference Proceedings (OSTI)

Context: Quality assurance of business process models has been recognized as an important factor for modeling success at an enterprise level. Since quality of models might be subject to different interpretations, it should be addressed in the most objective ... Keywords: Business process model, Indicator, Measure, Threshold

Laura SNchez-GonzLez; FLix GarcA; Francisco Ruiz; Jan Mendling

2012-11-01T23:59:59.000Z

239

Reference model for software process improvement: a Brazilian experience  

Science Conference Proceedings (OSTI)

Recent research efforts about quality in the software area demonstrate that a concentrated effort is necessary to improve software process. Mainly in Brazil, there is an urge to enhance software processes performance aiming to improve the quality of ...

Ana Regina Rocha; Mariano Montoni; Gleison Santos; Smulo Mafra; Svio Figueiredo; Adriano Albuquerque; Paula Mian

2005-11-01T23:59:59.000Z

240

Modeling a Dry Etch Process for Large-Area Devices  

DOE Green Energy (OSTI)

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

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

1999-07-28T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Neural Net Based Hybrid Modeling of the Methanol Synthesis Process  

Science Conference Proceedings (OSTI)

A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic algorithm based feature selection designed to select informative variables ... Keywords: feature selection, genetic algorithms, hybrid modeling, methanol synthesis, neural networks

Primo Poto?nik; Marko etinc; Igor Grabec; Janez Levec

2000-06-01T23:59:59.000Z

242

Semantic execution of subject-oriented process models  

Science Conference Proceedings (OSTI)

Workflow Management Systems (WFMS) are becoming increasingly important as tools to support people involved in the execution of business processes and to automate parts of it. As business processes involve several actors with varying backgrounds, workflow ... Keywords: business process management, structural design, subject-oriented BPM, user interface, workflow systems

Albert Fleischmann, Werner Schmidt, Christian Stary

2013-07-01T23:59:59.000Z

243

A photosynthetic process modelled by a metabolic P system  

Science Conference Proceedings (OSTI)

Photosynthesis is the process used by plants, algae and some bacteria to obtain biochemical energy from sunlight. It is the most important process allowing life on earth. In this work, by applying the Log Gain theory of Metabolic P Systems, we define ... Keywords: Biomolecular dynamics, Discrete dynamical systems, Metabolic P systems, Non photochemical quenching process, P systems, Photosynthesis

Vincenzo Manca; Roberto Pagliarini; Simone Zorzan

2009-12-01T23:59:59.000Z

244

Modeling and Simulation of Process-Structure-Property of ...  

Science Conference Proceedings (OSTI)

First Principles Modeling of Shape Memory Alloy Magnetic Refrigeration Materials ... Different Generations of Gamma Prime Precipitates in a Commercial Nickel...

245

Modelling the Process Chain of Microalloyed Case Hardening Steel ...  

Science Conference Proceedings (OSTI)

First Principles Modeling of Shape Memory Alloy Magnetic Refrigeration Materials ... of Gamma Prime Precipitates in a Commercial Nickel Base Superalloy.

246

Unit Process Modeling [Nuclear Waste Management using Electrometallurg...  

NLE Websites -- All DOE Office Websites (Extended Search)

Nuclear Safety Materials Disposition Decontamination & Decommissioning Nuclear Criticality Safety Nuclear Data Program Nuclear Waste Form Modeling Departments Engineering...

247

REDuction/OXidation (REDOX) Modeling and Process Control in the ...  

Science Conference Proceedings (OSTI)

... of Fluidized Bed Steam Reforming (FBSR) with Hanford Low Activity Wastes ... Level Waste at the Defense Waste Processing Facility through Sludge Batch 7b.

248

Improved mathematical model for sheet reheat phase in thermoforming process.  

E-Print Network (OSTI)

??Thermoforming is widely used industrial manufacturing process in which tub-shaped components are manufactured by heating a plastic sheet in the oven and formed to the (more)

Khan, Sohail Akbar

2009-01-01T23:59:59.000Z

249

applications of sensors and modeling to materials processing: vi  

Science Conference Proceedings (OSTI)

Sponsored by: Jt. EPD/MDMD Synthesis, Control, and Analysis in Materials ... The control system was interfaced with customized processing hardware via a...

250

Complex event processing model for distributed RFID network  

Science Conference Proceedings (OSTI)

RFID complex event processing technology, which is proved to be a powerful tool in describing relationship between different events, such as timing, causality, and membership in RFID data streams or events, is a key point of RFID researching in these ... Keywords: RFID, RFID network, complex event processing

Xiao Jia; Yuan Wenming; Wang Dong

2009-11-01T23:59:59.000Z

251

Reprint of a process model for developing usable cross-cultural websites  

Science Conference Proceedings (OSTI)

In this paper we present a process model for developing usable cross-cultural websites. Compatible with ISO 13407, the process model documents an abstraction of the design process focusing on cultural issues in development. It provides a framework in ... Keywords: Attractors, Cross-cultural usability, Cultural fingerprint, Globalisation, User evaluation, Websites

Andy Smith; Lynne Dunckley; Tim French; Shailey Minocha; Yu Chang

2012-07-01T23:59:59.000Z

252

Modeling PWR Fuel Corrosion Product Deposition and Growth Process  

Science Conference Proceedings (OSTI)

This report describes further developments to the crud chemistry model developed in 2003. This model calculates the thermal and chemical conditions within fuel crud deposits. The model was developed to understand fuel crud scrape observations and help alleviate AOA in plants suffering this problem. The model predicts the main form of boron in thick crud (30m) is precipitated LiBO2. This precipitates because Li and boric acid concentrate in the bottom of the deposit due to evaporation. The rise in temper...

2005-09-26T23:59:59.000Z

253

Computational Modeling of Materials, Minerals and Metals Processing  

Science Conference Proceedings (OSTI)

R.S. Bellur-Ramaswamy, R. Haber, N.A. Sobh and D.A. Tortorelli. Computational Modelling of Thermomechanical Phenomena....................................................85.

254

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

temperatures and pressures; 4) thermodynamic modeling and database development; 5) Molecular Dynamics (MD) study of clay hydration at ambient and elevated temperatures; and 6)...

255

CFD Modeling of Splash in Molten Materials Processing Operations  

Science Conference Proceedings (OSTI)

A Coupled CFD-Thermodynamic-Kinetic Model to Simulate a Gas Stirred Ladle ... Exercise on Thermal and Thermosolutal Natural Convection in Liquid Alloys.

256

Modeling of Multi-Scale Phenomena in Materials Processing - III  

Science Conference Proceedings (OSTI)

Mei Li, Ford Motor Company. Scope, The purpose of the symposium is to present the development of computational techniques for the modeling of multi-scale...

257

Using hidden Markov model to uncover processing states from eye movements in information search tasks  

Science Conference Proceedings (OSTI)

We study how processing states alternate during information search tasks. Inference is carried out with a discriminative hidden Markov model (dHMM) learned from eye movement data, measured in an experiment consisting of three task types: (i) simple word ... Keywords: Computational models, Decision process, Eye movements, Hidden Markov model, Information search, Reading, Scanning

Jaana Simola; Jarkko SalojRvi; Ilpo Kojo

2008-10-01T23:59:59.000Z

258

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

E-Print Network (OSTI)

Chapter 4: Refrigeration Process Control: Simulation Model 64 44.. RREEFFRRIIGGEERRAATTIIOONN of the simulation model for the two-stage refrigeration system is presented. The model is based on the mathematical equations and transfer functions. Typical application areas are control system design, chemical process

Skogestad, Sigurd

259

Author manuscript, published in "International Conference on Image Processing (ICIP) (2009)" LIDAR WAVEFORM MODELING USING A MARKED POINT PROCESS  

E-Print Network (OSTI)

Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate parametric function is necessary to retrieve physical information about these objects and characterize their properties. This paper presents a marked point process based model to reconstruct a lidar signal in terms of a set of parametric functions. The model takes into account both a data term which measures the coherence between the models and the waveforms, and a regularizing term which introduces physical knowledge on the reconstructed signal. We search for the best configuration of functions by performing a Reversible Jump Markov Chain Monte Carlo sampler coupled with a simulated annealing. Results are finally presented on different kinds of signals in urban areas. Index Terms Signal reconstruction, Lidar, Source modeling, Marked point process, RJMCMC, 3D point cloud.

Clment Mallet; Florent Lafarge; Frdric Bretar; Uwe Soergel; Christian Heipke

2013-01-01T23:59:59.000Z

260

Mathematical modeling of wet magnesia flue gas desulphurization process  

Science Conference Proceedings (OSTI)

Desulphurization of flue gases from various chemical industries in a techno-econo-enviro manner is a demanding technology. The concentrations of sulphur dioxide in and around these plants overshoot the danger point. In recent years, the process analysis ...

M. K. Mondal

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Modeling Events in Time using Cascades of Poisson Processes  

E-Print Network (OSTI)

us to determine what events can trigger a particular type ofpoint process; when events can trigger events of differentof event data one event may trigger other ones that has

Simma, Aleksandr

2010-01-01T23:59:59.000Z

262

Modelling business processes with workflow systems: an evaluation of alternative approaches  

Science Conference Proceedings (OSTI)

Effective business process management necessitates a consistent information flow between the participants in the process, the smooth integration of the flow of work, the timely sharing of data and information during the planning and implementation phases ... Keywords: Business process management, Process modelling, Project management, Workflow management

Gregory Mentzas; Christos Halaris; Stylianos Kavadias

2001-04-01T23:59:59.000Z

263

Taba workstation: supporting software process improvement initiatives based on software standards and maturity models  

Science Conference Proceedings (OSTI)

International software standards and maturity models play an important role in Software Process Improvement initiatives defining best practices and providing knowledge to the definition of software processes. Nevertheless, the definition and deployment ...

Analia Irigoyen Ferreiro Ferreira; Gleison Santos; Roberta Cerqueira; Mariano Montoni; Ahilton Barreto; Ana Regina Rocha; Svio Figueiredo; Andrea Barreto; Reinaldo C. Silva Filho; Peter Lupo; Cristina Cerdeiral

2006-10-01T23:59:59.000Z

264

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

E-Print Network (OSTI)

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

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

2009-01-01T23:59:59.000Z

265

Modeling the Dynamics of Long-Term Variability of Hydroclimatic Processes  

Science Conference Proceedings (OSTI)

The stochastic analysis, modeling, and simulation of climatic and hydrologic processes such as precipitation, streamflow, and sea surface temperature have usually been based on assumed stationarity or randomness of the process under ...

Oli G. B. Sveinsson; Jose D. Salas; Duane C. Boes; Roger A. Pielke Sr.

2003-06-01T23:59:59.000Z

266

A Soft Computing Model for Physicians' Decision Process  

E-Print Network (OSTI)

In this paper the author presents a kind of Soft Computing Technique, mainly an application of fuzzy set theory of Prof. Zadeh [16], on a problem of Medical Experts Systems. The choosen problem is on design of a physician's decision model which can take crisp as well as fuzzy data as input, unlike the traditional models. The author presents a mathematical model based on fuzzy set theory for physician aided evaluation of a complete representation of information emanating from the initial interview including patient past history, present symptoms, and signs observed upon physical examination and results of clinical and diagnostic tests.

Biswas, Siddharths Sankar

2010-01-01T23:59:59.000Z

267

Measurement and modeling of advanced coal conversion processes, Volume II  

Science Conference Proceedings (OSTI)

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.

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

1993-06-01T23:59:59.000Z

268

Process-Based Cost Modeling to Support Target Value Design  

E-Print Network (OSTI)

elemental analysis (cost-per-square-foot) are referred to asTraditional models (cost per square foot, elementalunit costs per an area unit (i.e. , $/Square Foot) or per a

Nguyen, Hung Viet

2010-01-01T23:59:59.000Z

269

Process-Based Cost Modeling to Support Target Value Design  

E-Print Network (OSTI)

in Designing to Target Cost. 12th Annual Conference of thethe Hurdle of First Cost: Action Research in TargetD.T. (1987). A Future for Cost Modelling: Building Cost

Nguyen, Hung Viet

2010-01-01T23:59:59.000Z

270

MAIDEN: a model for analyzing ecosystem processes in dendroecology  

E-Print Network (OSTI)

1 Early fall (phase 4) Late fall (phase 5) 2004 NRC Canadaexisting models, we 2004 NRC Canada Can. J. For. Res. Vol.forests. Clim. Res. 4: 2004 NRC Canada Mkel, A. , and

Misson, Laurent

2004-01-01T23:59:59.000Z

271

MAIDEN: a model to analyze ecosystem processes in dendroecology  

E-Print Network (OSTI)

1 Early fall (phase 4) Late fall (phase 5) 2004 NRC Canadaexisting models, we 2004 NRC Canada Can. J. For. Res. Vol.forests. Clim. Res. 4: 2004 NRC Canada Mkel, A. , and

Misson, Laurent

2004-01-01T23:59:59.000Z

272

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

E-Print Network (OSTI)

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 ...

Silva, James Emanuel

2012-01-01T23:59:59.000Z

273

Molecular surface-free continuum model for electrodiffusion processes  

E-Print Network (OSTI)

Molecular surface-free continuum model for electrod-of introduc- ing a molecular surface and the painful task ofreaction kinet- ics, and molecular surface de?ned as an

Lu, Benzhuo; McCammon, J. Andrew

2008-01-01T23:59:59.000Z

274

Virtual Design and Modeling of Various Manufacturing Processes for Remote . . .  

E-Print Network (OSTI)

As currently envisioned, over 70,000 tons of high-level nuclear waste would be stored inside the planned Yucca Mountain repository. After emplacement, the site must be maintained and guarded for over 10,000 years. The reprocessing of spent nuclear fuel is a possible alternative to geological storage. Here, depleted Uranium would be separated from Plutonium and Minor Actinides. While Plutonium can be burned in commercial nuclear reactors, the minor actinides would be transmuted into other elements. The large-scale deployment of remote fabrication and refabrication processes (approx. 100 tons of Minor Actinides (MA) annually) will be required. Process automation has the potential to decrease the cost of remote fuel fabrication and to make transmutation a more economically viable process. Reprocessing and transmutation would reduce the high-level waste volume by over 99%, and reduce the lifetime of the repository to approximately 300 years. The objective of this thesis is the virtual design and simulation of manufacturing

Jamil Mohamad Renno

2005-01-01T23:59:59.000Z

275

3D Meso-scale Modelling of Aluminum-alloy Welding Processes for ...  

Science Conference Proceedings (OSTI)

In the present study, a granular model of solidification has been developed to simulate the welding process as a first step towards predicting solidification...

276

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

E-Print Network (OSTI)

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

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

2000-01-14T23:59:59.000Z

277

Report on Modeling Coupled Processes in the Near Field of a Clay...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Report on Modeling Coupled Processes in the Near Field of a Clay Repository Clayshale has been considered as potential host rock for geological disposal of high-level...

278

Development and Application of Advanced Models for Steam Hydrogasification: Process Design and Economic Evaluation.  

E-Print Network (OSTI)

??This thesis is aimed at the process development, design, modeling and optimization of synthetic fuels, power and Substitute Natural Gas (SNG) production from coal and (more)

Lu, Xiaoming

2012-01-01T23:59:59.000Z

279

A Spectral Model for Process Studies of Rotating, Density-Stratified Flows  

Science Conference Proceedings (OSTI)

A numerical model designed for three-dimensional process studies of rotating, stratified flows is described. The model is freely available, parallel, and portable across a range of computer architectures. The underlying numerics are high quality, ...

K. B. Winters; J. A. MacKinnon; Bren Mills

2004-01-01T23:59:59.000Z

280

Melting of Snow Cover in a Tropical Mountain Environment in Bolivia: Processes and Modeling  

Science Conference Proceedings (OSTI)

To determine the physical processes involved in the melting and disappearance of transient snow cover in nonglacierized tropical areas, the CROCUS snow model, interactions between SoilBiosphereAtmosphere (ISBA) land surface model, and coupled ...

Yves Lejeune; Ludovic Bouilloud; Pierre Etchevers; Patrick Wagnon; Pierre Chevallier; Jean-Emmanuel Sicart; Eric Martin; Florence Habets

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

KMsim: A Meta-modelling Approach and Environment for Creating Process-Oriented Knowledge Management Simulations  

Science Conference Proceedings (OSTI)

This paper presents a new approach to modelling process-oriented knowledge management (KM) and describes a simulation environment (called KMSIM) that embodies the approach. Since the beginning of modelling researchers have been looking for better and ...

Anjo Anjewierden; Irina Shostak; Robert de Hoog

2002-10-01T23:59:59.000Z

282

Open Source Software for Materials and Process Modeling  

Science Conference Proceedings (OSTI)

Though open source engineering analysis tools have not been widely deployed, ... over half of websites,3 and the market share of the open source Firefox web ... 10 kWh of energy per kg of product.7 The magnesium (hydr)oxide dissolves in a ... to post-process the information generated by the ATAT code, which consists of

283

Terrain modeling with multifractional Brownian motion and self-regulating processes  

Science Conference Proceedings (OSTI)

Approximate scale-invariance and local regularity properties of natural terrains suggest that they can be a accurately modeled with random processes which are locally fractal. Current models for terrain modeling include fractional and multifractional ... Keywords: (multifractional)brownian motion, digital elevation models, hlderian regularity

Antoine Echelard; Jacques Lvy Vhel; Olivier Barrire

2010-09-01T23:59:59.000Z

284

Access and Delivery of Integrated Weld Process Models  

Science Conference Proceedings (OSTI)

Table 1   Software tools for integrated weld modeling...http://www.aws.org/wj/2008/05/wj200805/wj0508-36.pdf Desktop SORPAS http://www.swantec.com/sorpas.htm Desktop E-WeldPredictor http://calculations.ewi.org/VJP/ Internet...

285

Automatic Translation of Process Modeling Formalisms George T. Heineman 1  

E-Print Network (OSTI)

`` by farm owner Owned and managed by GEDA Owned by GEB ssss ss Figure 2. Wind farms and substations;Abstract This is the final report of a joint Danish and Indian project "Power Quality and Integration for simulation model 65 #12;Risø-R-1172(EN) 5 Preface This report describes the joint Danish and Indian project

286

Modelling biological processes by using a probabilistic P system software  

Science Conference Proceedings (OSTI)

In this paper we present a probabilistic P system simulator that implements the evolution-communication model proposed in (Cavaliere, 2003) enriched with some probabilistic parameters inspired by the cell biology. After describing the software and ... Keywords: bacteria, membrane computing, photosynthesis, probability, respiration, software

Ioan I. Ardelean; Matteo Cavaliere

2003-07-01T23:59:59.000Z

287

A model of job satisfaction for collaborative development processes  

Science Conference Proceedings (OSTI)

Modern software development relies on collaborative work as a means for sharing knowledge, distributing tasks and responsibilities, reducing risk of failures, and increasing the overall quality of the software product. Such objectives are achieved with ... Keywords: Job satisfaction, Log linear model, Pair programming

Witold Pedrycz; Barbara Russo; Giancarlo Succi

2011-05-01T23:59:59.000Z

288

Ethics from the Bottom-Up: Recursive depth in technosocial networks  

E-Print Network (OSTI)

-up networks are equally democratizing: while Open Source and DIY empower their publics by increasing theory and nanotechnology to DIY sensors and crowdsourcing, there are exciting possibilities for not only

Queitsch, Christine

289

Poster BOTTOM-UP NANOLITHOGRAPHY BASED ON THE FORMATION OF NANOMETER-SIZE ORGANIC LIQUID MENISCI  

E-Print Network (OSTI)

Nanometer-size menisci of organic liquids such as octane and 1-octene have been formed and used to confine chemical reactions. The application of a bias voltage between a conductive scanning probe tip separated a few nanometers from a silicon surface allows the field-induced formation of nanometer-size liquid menisci which can subsequently be used to fabricate nanometer-size structures. We report the fabrication of sub-10 nm nanostructures in 0.1 ms. Growth kinetics studies reveal that the nanostructure composition and its formation mechanism is liquid dependent. Both voltage polarities can be used to grow nanostructures although the growth rate is significantly higher for positively biased samples. These experiments allow to produce in the same sample a large variety of chemically different nanostructures that are easily addressed, positioned and have sub-10 nm features. (*) Author to whom correspondence should be addressed

Ramss V. Martinez; Ricardo Garcia; B I Ii

2005-01-01T23:59:59.000Z

290

Bottom-up forcing and the decline of Steller sea lions  

E-Print Network (OSTI)

Declines of Steller sea lion (Eumetopias jubatus) populations in the Aleutian Islands and Gulf of Alaska could be a consequence of physical oceanographic changes associated with the 1976--77 climate regime shift. Changes in ocean climate are hypothesized to have affected the quantity, quality, and accessibility of prey, which in turn may have affected the rates of birth and death of sea lions. Recent studies of the spatial and temporal variations in the ocean climate system of the North Pacific support this hypothesis. Ocean climate changes appear to have created adaptive opportunities for various species that are preyed upon by Steller sea lions at mid-trophic levels. The east--west asymmetry of the oceanic response to climate forcing after 1976-- 77 is consistent with both the temporal aspect (populations decreased after the late 1970s) and the spatial aspect of the decline (western, but not eastern, sea lion populations decreased). These broad-scale climate variations appear to be modulated by regionally sensitive biogeographic structures along the Aleutian Islands and Gulf of Alaska, which include a transition point from coastal to open-ocean conditions at Samalga Pass westward along the Aleutian Islands. These transition points delineate distinct clusterings of different combinations of prey species, which are in turn correlated with differential population sizes and trajectories of Steller sea lions. Archaeological records spanning 4000 yr further indicate that sea lion populations have experienced major shifts in abundance in the past. Shifts in ocean climate are the most parsimonious underlying explanation for the broad suite of ecosystem changes that have been observed in the North Pacific Ocean in recent decades.

Eumetopias Jubatas In; Andrew W. Trites; Arthur J. Miller; Herbert D. G. Maschner; Michael A; Steven J. Bograd; John A; Antonietta Capotondi; Kenneth O. Coyle; Emanuele Di; Bruce P. Finney; Edward J; Chester E. Grosch; Steven R; Douglas J. Neilson; Stephen R; Katherine L. Reedy-maschner; Thomas C. Royer; Franklin B; Julian X. L. Wang; Arliss J. Winship

2004-01-01T23:59:59.000Z

291

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

E-Print Network (OSTI)

Conservation Products (then CECP, now the China Standards Certification Center, or CSC) to survey selected public sector buildings

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

2006-01-01T23:59:59.000Z

292

Cost-Sensitive top-down/bottom-up inference for multiscale activity recognition  

Science Conference Proceedings (OSTI)

This paper addresses a new problem, that of multiscale activity recognition. Our goal is to detect and localize a wide range of activities, including individual actions and group activities, which may simultaneously co-occur in high-resolution video. ...

Mohamed R. Amer; Dan Xie; Mingtian Zhao; Sinisa Todorovic; Song-Chun Zhu

2012-10-01T23:59:59.000Z

293

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

E-Print Network (OSTI)

focused the governments policies on energy use. In 2002,government purchasing. (SC 2004) Developing an Energy-Efficiency Procurement Program in China Synchronous with this policygovernments own energy consumption behavior. 4. Reliance on existing policy

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

2006-01-01T23:59:59.000Z

294

Bottom-up characterisation of the Spanish building stock Archetype buildings and energy demand.  

E-Print Network (OSTI)

??In developed economies, such as the European Unions member states, the largest potential for energy efficiency improvements lies in retrofitting existing buildings. Yet, there is (more)

Medina Benejam, Georgina

2011-01-01T23:59:59.000Z

295

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

E-Print Network (OSTI)

and result in maximum energy savings in Mexico. 3. Lack ofenvironment, Mexico's federal government energy conservationCONAE on energy-efficiency projects in Mexico. This close

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

2006-01-01T23:59:59.000Z

296

Enhanced oil recovery data base and simplified process models  

SciTech Connect

In 1980, the U.S. Department of Energy Bartlesville Energy Technology Center initiated a program to estimate the enhanced oil recovery (EOR) potential in the continental U.S. The prime objectives for this program are to estimate the technically recoverable oil through utilization of current EOR technologies, to estimate the economically recoverable oil for those technologies, and to estimate the risks associated with the various EOR recovery techniques. These estimates provide the basis for studies to measure the effects of improving technologies, improved economic scenarios, reduction of risks on future levels of EOR production, and aid in determining research needs. The interaction between the databases and models is discussed. Because this database contains comprehensive information on active EOR projects nationwide, it is used as a calibration source for the models. The reservoir database, used as the data source for estimates of technically and economically recoverable oil, contains basic information on reservoirs located throughout the U.S.

Wesson, T.C.

1982-12-01T23:59:59.000Z

297

Organization of IGCC processes with reduced order CFD models  

SciTech Connect

Integrated gasificationcombinedcycle(IGCC)plantshavesignificantadvantagesforefficientpowergen- eration withcarboncapture.Moreover,withthedevelopmentofaccurateCFDmodelsforgasificationand combined cyclecombustion,keyunitsoftheseprocessescannowbemodeledmoreaccurately.However, the integrationofCFDmodelswithinsteady-stateprocesssimulators,andsubsequentoptimizationof the integratedsystem,stillpresentssignificantchallenges.Thisstudydescribesthedevelopmentand demonstration ofareducedordermodeling(ROM)frameworkforthesetasks.Theapproachbuildson the conceptsofco-simulationandROMdevelopmentforprocessunitsdescribedinearlierstudies.Here we showhowtheROMsderivedfrombothgasificationandcombustionunitscanbeintegratedwithin an equation-orientedsimulationenvironmentfortheoveralloptimizationofanIGCCprocess.Inaddi- tion toasystematicapproachtoROMdevelopment,theapproachincludesvalidationtasksfortheCFD model aswellasclosed-looptestsfortheintegratedflowsheet.Thisapproachallowstheapplicationof equation-based nonlinearprogrammingalgorithmsandleadstofastoptimizationofCFD-basedprocess flowsheets. TheapproachisillustratedontwoflowsheetsbasedonIGCCtechnology.

Lang, Y.; Zitney, S.; Biegler, L.

2011-01-01T23:59:59.000Z

298

Measurement and modeling of advanced coal conversion processes  

Science Conference Proceedings (OSTI)

The overall objective of this program is the development of predictive capability for the design, scale up, simulation, control and feedstock evaluation in advanced coal conversion devices. This program will merge significant advances made in measuring and quantitatively describing the mechanisms in coal conversion behavior. Comprehensive computer codes for mechanistic modeling of entrained-bed gasification. Additional capabilities in predicting pollutant formation will be implemented and the technology will be expanded to fixed-bed reactors.

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

1991-01-01T23:59:59.000Z

299

Psychophysiological signal processing for building a user model in adaptive e-learning systems  

Science Conference Proceedings (OSTI)

User's psychophysiological state model allows taking into account learner's emotional and physiological states during technology-based learning. The capability of recognizing the "human factor" considerably improves the Human-Computer-Interaction process ... Keywords: adaptive e-learning, biofeedback sensors, learner's psychophysiological state, physiological data processing, user model

Tatiana Rikure; Leonid Novitsky

2008-12-01T23:59:59.000Z

300

Pre-processing Optimisation Applied to the Classical Integer Programming Model for Statistical Disclosure Control  

Science Conference Proceedings (OSTI)

A pre-processing optimisation is proposed that can be applied to the integer and mixed integer linear programming models that are used to solve the cell suppression problem in statistical disclosure control. In this paper we report our initial findings ... Keywords: Cell Suppression Problem, Classical Model, External Attacker, Pre-processing Optimisation, Statistical Disclosure Control

Martin Serpell; Alistair Clark; Jim Smith; Andrea Staggemeier

2008-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Molecular Dynamics Model of Ultraviolet Matrix-Assisted Laser Desorption/Ionization Including Ionization Processes  

E-Print Network (OSTI)

Molecular Dynamics Model of Ultraviolet Matrix-Assisted Laser Desorption/Ionization Including A molecular dynamics model of UV-MALDI including ionization processes is presented. In addition/desorption of molecular systems, it includes radiative and nonradiative decay, exciton hopping, two pooling processes

Zhigilei, Leonid V.

302

Modeling of non-stationary autoregressive alpha-stable processes by particle filters  

Science Conference Proceedings (OSTI)

In the literature, impulsive signals are mostly modeled by symmetric alpha-stable processes. To represent their temporal dependencies, usually autoregressive models with time-invariant coefficients are utilized. We propose a general sequential Bayesian ... Keywords: Bayesian estimation techniques, Particle filtering, Skewed ?-stable distributions, Time varying autoregressive processes

Deniz Gena?a; Ay??n Ertzn; Ercan E. Kuruo?lu

2008-05-01T23:59:59.000Z

303

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

SciTech Connect

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.

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

2009-10-01T23:59:59.000Z

304

Report on Modeling Coupled Processes in the Near Field of a Clay Repository  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

on Modeling Coupled Processes in the Near Field of a Clay on Modeling Coupled Processes in the Near Field of a Clay Repository Report on Modeling Coupled Processes in the Near Field of a Clay Repository Clay/shale has been considered as potential host rock for geological disposal of high-level radioactive waste throughout the world. Coupled thermal, hydrological, mechanical, and chemical (THMC) processes have a significant impact on the long-term safety of a clay repository. This report documents results from three R&D activities: (1) implementation and validation of constitutive relationships, (2) development of a discrete fracture network (DFN) model for investigating coupled processes in the excavation damaged zone, and (3) development of a THM model for the Full-Scale Emplacement Experiment tests at Mont Terri, Switzerland, for the

305

processing  

Science Conference Proceedings (OSTI)

ANSYS Fluent software contains the broad physical modeling capabilities needed to model flow, turbulence, heat transfer, and reactions for a wide variety of...

306

MINERVA: model driven and service oriented framework for the continuous business process improvement and related tools  

Science Conference Proceedings (OSTI)

The importance and benefits of Business Process Management (BPM) for organizations are nowadays broadly recognized, as not only the business area but also the information technology one are embracing and adopting the paradigm. The implementation of business ... Keywords: business process, business process management (BPM), improvement, model driven development (MDD), service oriented computing (SOC)

Andrea Delgado; Francisco Ruiz; Ignacio Garca-Rodrguez de Guzmn; Mario Piattini

2009-11-01T23:59:59.000Z

307

A heuristic-systematic model of end-user information processing when encountering IS exceptions  

Science Conference Proceedings (OSTI)

IS exception management often relies on end-users for success. A key aspect of end-user management of IS exceptions is sufficient information processing before responding. However, end-users process information dynamically across different judgmental ... Keywords: Heuristic-systematic model, IS exception management, Information processing, Information sufficiency

Joshua M. Davis; Brad M. Tuttle

2013-03-01T23:59:59.000Z

308

Dynamic modeling and multivariable control of organic Rankine cycles in waste heat utilizing processes  

Science Conference Proceedings (OSTI)

In this paper, the dynamics of organic Rankine cycles (ORCs) in waste heat utilizing processes is investigated, and the physical model of a 100 kW waste heat utilizing process is established. In order to achieve both transient performance and steady-state ... Keywords: Linear quadratic regulator, Organic Rankine cycles, Process control

Jianhua Zhang; Wenfang Zhang; Guolian Hou; Fang Fang

2012-09-01T23:59:59.000Z

309

Business information modeling for process integration in the mold making industry  

Science Conference Proceedings (OSTI)

Driven by industrial needs and enabled by the latest information technology, enterprise integration has rapidly shifted from information integration to process integration for performance excellence in the entire business process. This paper reports ... Keywords: Business object modeling, Enterprise integration, Process integration

Qianfu Ni; Wen Feng Lu; Prasad K. D. V. Yarlagadda; Xinguo Ming

2007-04-01T23:59:59.000Z

310

ALINET: a model for assessing energy conservation opportunities in food processing  

SciTech Connect

ALINET, a network model of the US food processing and distribution sector, has been designed as a tool for analyzing energy use and for evaluating specific energy conserving technologies. The model is operational and has been used in the analysis of wheat processing. The results of a pilot study in which an alternative technology - microwave drying - is introduced in the pasta making process are described, and the impact on energy and on specific fuel use is analyzed.

Levis, A.H. (Massachusetts Inst. of Tech., Cambridge); Ducot, E.R.; Webster, T.F.; Levis, I.S.

1981-01-01T23:59:59.000Z

311

A Management Information System Model for Process-Oriented Health Care  

E-Print Network (OSTI)

Objective: To develop a conceptual model of a management information system for process-oriented health care organizations. Methods: Qualitative data was collected from two case studies in process-oriented health care settings. The first study addressed the information requirements of health care managers and the second study focused on organizational activities and clinical practice. From these data, preliminary models were iteratively developed, interpreted, and further revised. Setting: A county hospital in southern Sweden with 30 clinics and 3,200 employees. Results: A conceptual model of a management information system for process-oriented health care organizations was developed in two parts: one part that describes the organizational interface of the model and the other part that describes the architecture of the model. Conclusion: A conceptual model has been developed for locallevel integration of management information systems and organizational procedures in process-oriented health care organizations.

M. Fieschi Et Al. (eds; Anna Andersson; Niklas Hallberg; Henrik Eriksson; Toomas Timpka; Anna Andersson; Niklas Hallberg; Henrik Eriksson; Toomas Timpka

2004-01-01T23:59:59.000Z

312

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

Science Conference Proceedings (OSTI)

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.

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

2008-10-07T23:59:59.000Z

313

Liquid and Ice Cloud Microphysics in the CSU General Circulation Model. Part 1: Model Description and Simulated Microphysical Processes  

Science Conference Proceedings (OSTI)

Microphysical processes responsible for the formation and dissipation of water and ice clouds have been incorporated into the Colorado State University General Circulation Model in order to 1) yield a more physically based representation of the ...

Laura D. Fowler; David A. Randall; Steven A. Rutledge

1996-03-01T23:59:59.000Z

314

Levy process-driven mean-reverting electricity price model: the marginal distribution analysis  

Science Conference Proceedings (OSTI)

We propose a class of stochastic mean-reverting models for electricity prices with Levy process-driven Ornstein-Uhlenbeck (OU) processes being the building blocks. We first fit marginal distributions of power price series to two special classes of distributions ... Keywords: Correlation structure, Electricity market signals, Electricity option pricing, Heavy-tail, Levy process, Ornstein-Uhlenbeck type process, Risk management, Unbalanced-tail

Shi-Jie Deng; Wenjiang Jiang

2005-10-01T23:59:59.000Z

315

A fresh look at cost estimation, process models and risk analysis, EDSER-1  

E-Print Network (OSTI)

Reliable cost estimation is indispensable for industrial software development. A detailed analysis shows why the existing cost models are unreliable. Cost estimation should integrate software process modelling and risk analysis. A novel approach based on probability theory is proposed. A probabilistic cost model could provide a solid basis for cost-benefit analyses. 1

Frank Padberg

1999-01-01T23:59:59.000Z

316

A Process-Oriented Small Lake Scheme for Coupled Climate Modeling Applications  

Science Conference Proceedings (OSTI)

A one-dimensional dynamic lake model is presented as a candidate for simulating small unresolved lakes within the land surface scheme of a regional or global climate model. This model is based largely on well-established process algorithms with ...

Murray D. MacKay

2012-12-01T23:59:59.000Z

317

An integrated media, integrated processes watershed model Gour-Tsyh Yeh a,  

E-Print Network (OSTI)

An integrated media, integrated processes watershed model Gour-Tsyh Yeh a, , Don-Sin Shih b , Jing modelling Groundwater and surface water coupling High performance parallel computing River hydraulics of a numerical model simulating fluid flow in WAterSHed Systems of 1D Stream-River Networks, 2D Overland Regime

Central Florida, University of

318

Development of an adaptive fuzzy logic-based inverse dynamic model for laser cladding process  

Science Conference Proceedings (OSTI)

The precision, performance, and robustness of model-based controllers depend, to a large extent, on the accuracy of the inverse dynamic model which is incorporated in the design of the controller. Due to complex nature of the laser cladding process and ... Keywords: Adaptive fuzzy modelling, Fuzzy c-means clustering, Inverse dynamic, Laser cladding

Meysar Zeinali; Amir Khajepour

2010-12-01T23:59:59.000Z

319

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

E-Print Network (OSTI)

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.

Ambresh Shivaji

2013-05-21T23:59:59.000Z

320

Intercomparison Study of the Land Surface Process Model and the Common Land Model for a Prairie Wetland in Florida  

Science Conference Proceedings (OSTI)

Common Land Model (CLM) and Land Surface Process (LSP) model simulations are compared to measured values for a 13-day dry-down period with a rapidly decreasing near-surface water table for a marsh wetland community in Florida. LSP was able to ...

B. Whitfield; J. M. Jacobs; J. Judge

2006-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Procession  

E-Print Network (OSTI)

UEE 2008 Ziermann, Martin 2004 Macht und Architektur: ZweiP ROCESSION Martin Stadler EDITORS W ILLEKE W ENDRICHFull Citation: Stadler, Martin, 2008, Procession. In Jacco

Stadler, Martin

2008-01-01T23:59:59.000Z

322

Processing  

Science Conference Proceedings (OSTI)

...are processed to complex final shapes by investment casting. Iron-nickel-base superalloys are not customarily investment cast. Investment casting permits intricate internal cooling

323

A Mathematical Model for the Electric Furance in the Kivcet Process  

Science Conference Proceedings (OSTI)

Aug 1, 2000 ... A Mathematical Model for the Electric Furance in the Kivcet Process by G.S. Hanumanth and G.A. Irons. Publisher: TMS. Product Format: PDF.

324

Numerical Investigations with a Hybrid Isentropic?Sigma Model. Part II: The Inclusion of Moist Processes  

Science Conference Proceedings (OSTI)

The main goals of this paper are 1) to demonstrate the feasibility of incorporating a prognostic equation for water vapor and diabatic processes in the University of Wisconsin ??? model discussed in Part I, 2) to document methods applied to ...

Tom H. Zapotocny; Fred M. Reames; R. Bradley Pierce; Donald R. Johnson; Bart J. Wolf

1991-09-01T23:59:59.000Z

325

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

Science Conference Proceedings (OSTI)

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.'

Tabares Velasco, P. C.

2011-04-01T23:59:59.000Z

326

Modeling Land Surface Processes and Heavy Rainfall in Urban Environments: Sensitivity to Urban Surface Representations  

Science Conference Proceedings (OSTI)

High-resolution simulations with the Weather Research and Forecasting (WRF) model are used in conjunction with observational analyses to investigate land surface processes and heavy rainfall over the Baltimore-Washington metropolitan area. ...

Dan Li; Elie Bou-Zeid; Mary Lynn Baeck; Stephen Jessup; James A. Smith

327

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

Science Conference Proceedings (OSTI)

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.

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

2011-05-06T23:59:59.000Z

328

Incorporation of CO2 Exchange Processes into a Multilayer AtmosphereSoilVegetation Model  

Science Conference Proceedings (OSTI)

Carbon dioxide (CO2) exchange processes were incorporated into a multilayer atmospheresoilvegetation model known as SOLVEG, and its performance was examined using measurements obtained from a grassland site. It was also applied for the CO2 ...

Haruyasu Nagai

2005-10-01T23:59:59.000Z

329

Computational intelligence methods: joint use in discrete event simulation model of logistics processes  

Science Conference Proceedings (OSTI)

The objective of the paper is to present the concept of using selected computational intelligence methods in conjunction with discrete event simulation (DES) models of chosen logistics processes. A review of the recent literature in the scope of applications ...

Marek Karkula; Lech Bukowski

2012-12-01T23:59:59.000Z

330

The Response of a Spectral General Circulation Model to Refinements in Radiative Processes  

Science Conference Proceedings (OSTI)

We present here results and analyses of a series of numerical experiments performed with a spectral general circulation model (GCM). The purpose of the GCM experiments is to examine the role of radiation/cloud processes in the general circulation ...

V. Ramanathan; Eric J. Pitcher; Robert C. Malone; Maurice L. Blackmon

1983-03-01T23:59:59.000Z

331

Gaussian Model Adaptive Processing in Time Domain (GMAP-TD) for Weather Radars  

Science Conference Proceedings (OSTI)

The Gaussian model adaptive processing in the time domain (GMAP-TD) method for ground clutter suppression and signal spectral moment estimation for weather radars is presented. The technique transforms the clutter component of a weather radar ...

Cuong M. Nguyen; V. Chandrasekar

2013-11-01T23:59:59.000Z

332

Evaluation of an Ecohydrologic-Process Model Approach to Estimating Annual Mountain-Block Recharge.  

E-Print Network (OSTI)

??Magruder, Ian, M.S., December 2006 Geology Evaluation of an Ecohydrologic-Process Model Approach to Estimating Annual Mountain-Block Recharge Chairperson: Dr. William Woessner Regional subsurface mountain-block recharge (more)

Magruder, Ian Auguste

2007-01-01T23:59:59.000Z

333

Variational bayesian inference for point process generalized linear models in neural spike trains analysis  

E-Print Network (OSTI)

Point process generalized linear models (GLMs) have been widely used for neural spike trains analysis. Statistical inference for GLMs include maximum likelihood and Bayesian estimation. Variational Bayesian (VB) methods ...

Chen, Zhe

334

Parameterization and Impact of Ice initiation Processes Relevant to Numerical Model Simulations of Cirrus Clouds  

Science Conference Proceedings (OSTI)

An effort to improve descriptions of ice initiation processes of relevance to cirrus clouds for use in regional-scale numerical cloud models with bulk microphysical schemes is described. This is approached by deriving practical parameterizations ...

Paul J. DeMott; Michael P. Meyers; William R. Cotton

1994-01-01T23:59:59.000Z

335

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

DOE Green Energy (OSTI)

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

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

2007-11-01T23:59:59.000Z

336

CLMT2 user's guide: A Coupled Model for Simulation of Hydraulic Processes from Canopy to Aquifer Version 1.0  

E-Print Network (OSTI)

equations for some soil hydraulicproperties. Waterarecapabletosimulatehydraulicprocessesfrom topofModelforSimulationofHydraulicProcessesfromCanopyto

Pan, Lehua

2006-01-01T23:59:59.000Z

337

Qualitative modelling of a multi-step process: The case of French breadmaking  

Science Conference Proceedings (OSTI)

In this paper, we investigate a problem of qualitative modelling of a multi-step food process, French breadmaking. The French breadmaking process has been represented as a sequence of steps where each step is defined through its control variables, the ... Keywords: Expert system, French breadmaking, Mixing, Qualitative calculus, Qualitative reasoning

Amadou Ndiaye; Guy Della Valle; Philippe Roussel

2009-03-01T23:59:59.000Z

338

Mathematical modelling of processes of reject water treatment in moving bed bioreactor  

Science Conference Proceedings (OSTI)

Efficient treatment of reject water originating from sludge digestion process was achieved by implementing a moving bed bioreactor. Since the ongoing processes in the reactor were unclear, model development was chosen in order to map them. To describe ... Keywords: ANAMMOX, MBBR, nitrogen removal, reject water, steady-state simulation

Viola Somogyi; Bence Fazekas; Endre Domokos; kos Rdey

2008-11-01T23:59:59.000Z

339

Automated forensic fingerprint analysis: a novel generic process model and container format  

Science Conference Proceedings (OSTI)

The automated forensic analysis of latent fingerprints poses a new challenge. While for the pattern recognition aspects involved, the required processing steps can be related to fingerprint biometrics, the common biometric model needs to be extended ... Keywords: automated dactyloscopy, automated forensic analysis, forensic container format, multibranched biometric process

Tobias Kiertscher; Claus Vielhauer; Marcus Leich

2011-03-01T23:59:59.000Z

340

Tendering Process Model (TPM) Implementation for B2B Integration in a Web Services Environment  

Science Conference Proceedings (OSTI)

Improvements can be made for tendering processes to solve B2B interoperability and integration problem by means of Web services technology. In this paper, we detail our tendering process model (TPM) based on Web services with SOAP messages exchange in ...

Lick Lun Nick Ng; Dickson K. W. Chiu; Patrick C. K. Hung

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Building Outline Extraction from Digital Elevation Models Using Marked Point Processes  

Science Conference Proceedings (OSTI)

This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose a method that extracts rectangular buildings. The result is a vectorial land ... Keywords: MCMC, RJMCMC, building detection, dense urban area, digital elevation models, image processing, inhomogeneous Poisson point process, land register, laser data, simulated annealing, stochastic geometry

Mathias Ortner; Xavier Descombes; Josiane Zerubia

2007-04-01T23:59:59.000Z

342

A multi-platform, multi-language environment for process modelling, simulation and optimisation  

Science Conference Proceedings (OSTI)

Process simulators like ASPEN PLUS and HYSYS are coming with the option of integrating their functions with special purpose programs for simulation and/or optimisation. However, a comprehensive account of how to do such integration is unavailable ... Keywords: automation, extensibility, genetic algorithms, integration, multi-objective optimisation, process modelling, simulation, simulators, styrene plant

N. Bhutani; A. Tarafder; G. P. Rangaiah; Ajay K. Ray

2007-11-01T23:59:59.000Z

343

Modeling the cracking process of rocks from continuity to discontinuity using a cellular automaton  

Science Conference Proceedings (OSTI)

A rock discontinuous cellular automaton (RDCA) was developed for modeling rock fracturing processes from continuous to discontinuous deformation under mechanical loading. RDCA is an integration of the following basic concepts: (1) representation of heterogeneity ... Keywords: Cracking process, Discontinuity, Elasto-plastic cellular automaton, Level set, Partition of unity, Rock discontinuous cellular automaton

Peng-Zhi Pan; Fei Yan; Xia-Ting Feng

2012-05-01T23:59:59.000Z

344

Development of an entrained flow gasifier model for process optimization study  

SciTech Connect

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.

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

2009-10-15T23:59:59.000Z

345

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

E-Print Network (OSTI)

are needed, and the required allowances in design are made to account for this. #12;Chapter 3: RefrigerationChapter 3: Refrigeration Process Control: Case Study Model 42 33.. RREEFFRRIIGGEERRAATTIIOONN-stage refrigeration system case study. It describes in detail the mathematical model developed, highlighting

Skogestad, Sigurd

346

Sedflux 2.0: An advanced process-response model that generates three-dimensional stratigraphy  

Science Conference Proceedings (OSTI)

Sedflux 2.0 is the newest version of the Sedflux basin-filling model. Sedflux 2.0 provides a framework within which individual process-response models of disparate time and space resolutions communicate with one another to deliver multigrain-sized sediment ... Keywords: Boundary-layer transport, Flexure, Plumes, Stratigraphy, Turbidity currents

Eric W. H. Hutton; James P. M. Syvitski

2008-10-01T23:59:59.000Z

347

Modeling of thermally driven hydrological processes in partially saturated fractured rock  

Science Conference Proceedings (OSTI)

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.

Tsang, Yvonne; Birkholzer, Jens; Mukhopadhyay, Sumit

2009-03-15T23:59:59.000Z

348

Trans-Debye Scale Plasma Modeling & Stochastic GRB Wakefield Plasma Processes  

E-Print Network (OSTI)

Modeling plasma physical processes in astrophysical context demands for both detailed kinetics and large scale development of the electromagnetic field densities. We present a new framework for modeling plasma physics of hot tenuous plasmas by a two-split scheme, in which the large scale fields are modeled by means of a particle-in-cell (PIC) code, and in which binary collision processes and single-particle processes are modeled through a Monte-Carlo approach. Our novel simulation tool -- the PhotonPlasma code -- is a unique hybrid model; it combines a highly parallelized (Vlasov) particle-in-cell approach with continuous weighting of particles and a sub-Debye Monte-Carlo binary particle interaction framework. As an illustration of the capabilities we present results from a numerical study of Gamma-Ray Burst - Circumburst Medium interaction and plasma preconditioning via Compton scattering. We argue that important microphysical processes can only viably be investigated by means of hybrid codes such as the PhotonPlasma code. Our first results from 3D simulations with this new simulation tool suggest that magnetic fields and plasma filaments are created in the wakefield of prompt gamma-ray bursts. Furthermore, the photon flux density gradient impacts on particle acceleration in the burst head and wakefield. We discuss some possible implications of the circumburst medium being preconditioned for a trailing afterglow shock front. We also discuss important improvements for future studies of GRB wakefields processes, using the PhotonPlasma code.

J. Trier Frederiksen; T. Haugboelle; A. Nordlund

2008-08-06T23:59:59.000Z

349

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

E-Print Network (OSTI)

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

1997-01-01T23:59:59.000Z

350

Nonstationarity in multifactor models of discrete jump processes, memory and application to cloud modeling  

E-Print Network (OSTI)

) and in ocean (phase transitions between water and ice). Reasons for these intrinsic limi- tations of standard of nonstationary Markov model parameterization (J. Atmos. Sci., 66, 2059-2072, (2009)) (that are constrained

Krause, Rolf

351

Advances in bayesian modelling and computation: spatio-temporal processes, model assessment and adaptive mcmc  

Science Conference Proceedings (OSTI)

The modelling and analysis of complex stochastic systems with increasingly large data sets, state-spaces and parameters provides major stimulus to research in Bayesian nonparametric methods and Bayesian computation. This dissertation presents ...

Chunlin Ji / Mike West

2009-01-01T23:59:59.000Z

352

Load Model Data Processing and Parameter Derivation (LMDPPD) Version 2.1  

Science Conference Proceedings (OSTI)

The tool allows the user to find optimum values of parameters for two load model structures developed as part of the load modeling project using system disturbance data. Description It is important to represent the dynamic behavior of system load for system planning studies and analysis. Developing load models is a challenging task due to the varying nature of loads and uncertainty in the load information. The Load Model Data Processing and Parameter Derivation (LMDPPD) Version 2.1 software tool is a sim...

2009-09-02T23:59:59.000Z

353

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

E-Print Network (OSTI)

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.

Kononovicius, Aleksejus; Daniunas, Valentas

2012-01-01T23:59:59.000Z

354

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

E-Print Network (OSTI)

Simulation serves as a third way of doing science, in contrast to both induction and deduction. The web based modeling may considerably facilitate the execution of simulations by other people. We present examples of agent-based and stochastic models of competition and business processes in economics. 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.

Daniunas, V; Kononovicius, A

2011-01-01T23:59:59.000Z

355

MODELING AND ANALYSIS OF GLOBAL AND REGIONAL HYDROLOGIC PROCESSES AND APPROPRIATE CONSERVATION OF MOIST ENTROPY  

SciTech Connect

The research supported by DOE funding addressed the fundamental issues of understanding and modeling of hydrologic processes in relation to regional and global climate change. The emphasis of this research effort was on the application of isentropic modeling and analysis to advance the accuracy of the simulation of all aspects of the hydrologic cycle including clouds and thus the climate state regionally and globally. Simulation of atmospheric hydrologic processes by the UW hybrid isentropic coordinate models provided fundamental insight into global monsoonal circulations, and regional energy exchange in relation to the atmospheric hydrologic cycle. Inter-comparison of UW hybrid model simulations with those from the NCAR Community Climate Model and other climate and numerical weather prediction (NWP) models investigated the increased accuracies gained in modeling long-range transport in isentropic coordinates and isolated differences in modeling of the climate state. The inter-comparisons demonstrated advantages in the simulation of the transport of the hydrologic components of the climate system and provided insight into the more general problems of simulating hydrologic processes, aerosols and chemistry for climate. This research demonstrated the viability of the UW isentropic-eta model for long-term integration for climate and climate change studies and documented that no insurmountable barriers exist to simulation of climate utilizing hybrid isentropic coordinate models. The results provide impetus for continued development of hybrid isentropic coordinate models as a means to advance accuracies in the simulation of global and regional climate in relation to transport and the planetary distribution of heat sources and sinks.

Donald Johnson, Todd Schaack

2007-06-08T23:59:59.000Z

356

Modeling and Conflict Detection of Crude Oil Operations for Refinery Process Based on Controlled Colored Timed Petri Net  

Science Conference Proceedings (OSTI)

Recently, there has been a great interest in the modeling and analysis of process industry, and various models are proposed for different uses. It is meaningful to have a model to serve as an analytical aid tool in short-term scheduling for oil refinery ... Keywords: Hybrid systems, petri net, refinery process, system modeling

Naiqi Wu; Liping Bai; Chengbin Chu

2007-07-01T23:59:59.000Z

357

H Diffusion for Impurity and Defect Passivation: A Physical Model for Solar Cell Processing; Preprint  

DOE Green Energy (OSTI)

We propose a physical model for diffusion of H in Si containing impurities and defects. The diffusion occurs via several parallel mechanisms, involving complex formation (trapping) and dissociation (detrapping) at impurities and defects, hopping in lattice interstitial sites, and charge-state conversion. The role of bulk and process-induced traps is considered to explain observations from plasma, ion implantation, and PECVD-nitridation processes.

Sopori, B. L.; Zhang, Y.; Reedy, R.

2002-05-01T23:59:59.000Z

358

Methodology for Modeling Building Energy Performance across the Commercial Sector  

Science Conference Proceedings (OSTI)

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.

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

2008-03-01T23:59:59.000Z

359

Advanced process engineering co-simulation using CFD-based reduced order models  

Science Conference Proceedings (OSTI)

The process and energy industries face the challenge of designing the next generation of plants to operate with unprecedented efficiency and near-zero emissions, while performing profitably amid fluctuations in costs for raw materials, finished products, and energy. To achieve these targets, the designers of future plants are increasingly relying upon modeling and simulation to create virtual plants that allow them to evaluate design concepts without the expense of pilot-scale and demonstration facilities. Two of the more commonly used simulation tools include process simulators for describing the entire plant as a network of simplified equipment models and computational fluid dynamic (CFD) packages for modeling an isolated equipment item in great detail by accounting for complex thermal and fluid flow phenomena. The Advanced Process Engineering Co-Simulator (APECS) sponsored by the U.S. Department of Energys (DOE) National Energy Technology Laboratory (NETL) has been developed to combine process simulation software with CFD-based equipment simulation software so that design engineers can analyze and optimize the coupled fluid flow, heat and mass transfer, and chemical reactions that drive overall plant performance (Zitney et al., 2006). The process/CFD software integration was accomplished using the process-industry standard CAPE-OPEN interfaces.

Lang, Y.-D.; Biegler, L.T.; Munteanu, S.; Madsen, J.I.; Zitney, S.E.

2007-11-04T23:59:59.000Z

360

The Aerosol Modeling Testbed: A community tool to objectively evaluate aerosol process modules  

SciTech Connect

This study describes a new modeling paradigm that significantly advances how the third activity is conducted while also fully exploiting data and findings from the first two activities. The Aerosol Modeling Testbed (AMT) is a computational framework for the atmospheric sciences community that streamlines the process of testing and evaluating aerosol process modules over a wide range of spatial and temporal scales. The AMT consists of a fully-coupled meteorology-chemistry-aerosol model, and a suite of tools to evaluate the performance of aerosol process modules via comparison with a wide range of field measurements. The philosophy of the AMT is to systematically and objectively evaluate aerosol process modules over local to regional spatial scales that are compatible with most field campaigns measurement strategies. The performance of new treatments can then be quantified and compared to existing treatments before they are incorporated into regional and global climate models. Since the AMT is a community tool, it also provides a means of enhancing collaboration and coordination among aerosol modelers.

Fast, Jerome D.; Gustafson, William I.; Chapman, Elaine G.; Easter, Richard C.; Rishel, Jeremy P.; Zaveri, Rahul A.; Grell, Georg; Barth, Mary

2011-03-02T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

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

E-Print Network (OSTI)

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

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

2008-11-07T23:59:59.000Z

362

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

DOE Green Energy (OSTI)

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.

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

2006-07-01T23:59:59.000Z

363

Combining Cloud-Resolving Model with Satellite for Cloud Process Model Simulation Validation  

Science Conference Proceedings (OSTI)

Advances in computer power have made it possible to increase the spatial resolution of regional numerical models to a scale encompassing larger convective elements of less than 5 km in size. One goal of high resolution is to begin to resolve ...

Renato G. Negri; Luiz A. T. Machado; Stephen English; Mary Forsythe

364

Effects of stratospheric aerosol surface processes on the LLNL two-dimensional zonally averaged model  

Science Conference Proceedings (OSTI)

We have investigated the effects of incorporating representations of heterogeneous chemical processes associated with stratospheric sulfuric acid aerosol into the LLNL two-dimensional, zonally averaged, model of the troposphere and stratosphere. Using distributions of aerosol surface area and volume density derived from SAGE 11 satellite observations, we were primarily interested in changes in partitioning within the Cl- and N- families in the lower stratosphere, compared to a model including only gas phase photochemical reactions.

Connell, P.S.; Kinnison, D.E.; Wuebbles, D.J. [Lawrence Livermore National Lab., CA (United States); Burley, J.D.; Johnston, H.S. [California Univ., Berkeley, CA (United States). Dept. of Chemistry]|[Lawrence Berkeley Lab., CA (United States)

1992-07-05T23:59:59.000Z

365

Information transfer model of natural processes: from the ideal gas law to the K effect  

E-Print Network (OSTI)

Information theory provides shortcuts which allow to deal with complex systems. The basic idea one uses for this purpose is the maximum entropy principle developed by Jaynes. However, an extensions of this maximum entropy principle to systems far from thermal equilibrium or even to non-physical systems is problematic because it requires an adequate choice of constraints. In this paper we apply the information theory in an even more abstract way and propose an information transfer model of natural processes which does not require any choice of adequate constraints. It is, therefore, directly applicable to systems far from thermal equilibrium and to non-physical systems/processes (e.g. biological processes and economical processes). We demonstrate the validity and the applicability of the information transfer concept by three well understood physical processes. As an interesting astronomical application we will show that the information transfer concept allows to rationalize and to quantify the K effect.

P. Fielitz; G. Borchardt

2009-05-05T23:59:59.000Z

366

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes$  

E-Print Network (OSTI)

Bifurcation and stability analysis of a two step model for monitoring anaerobic digestion processes in simulation. Keywords: Anaerobic digestion, biotechnology, steady state analysis, $ This work was supported the phenomenologic behavior of anaerobic digestion systems following the idea that all the available information

Paris-Sud XI, Université de

367

Formant tracking linear prediction model using HMMs and Kalman filters for noisy speech processing  

Science Conference Proceedings (OSTI)

This paper presents a formant tracking linear prediction (LP) model for speech processing in noise. The main focus of this work is on the utilization of the correlation of the energy contours of speech, along the formant tracks, for improved formant ...

Qin Yan; Saeed Vaseghi; Esfandiar Zavarehei; Ben Milner; Jonathan Darch; Paul White; Ioannis Andrianakis

2007-07-01T23:59:59.000Z

368

Analysis of collaborative writing processes using revision maps and probabilistic topic models  

Science Conference Proceedings (OSTI)

The use of cloud computing writing tools, such as Google Docs, by students to write collaboratively provides unprecedented data about the progress of writing. This data can be exploited to gain insights on how learners' collaborative activities, ideas ... Keywords: author-topic models, collaborative writing processes, probabilistic topic, visualisation

Vilaythong Southavilay; Kalina Yacef; Peter Reimann; Rafael A. Calvo

2013-04-01T23:59:59.000Z

369

Enhancing product performance in machining processes: statistical analysis and development of predictive models  

Science Conference Proceedings (OSTI)

Process parameters, tool geometry and operating conditions considerably influence the quality and the functional performance, including the service-life, of machined components. Surface characteristics of the machined products such as hardness and roughness ... Keywords: lubrication systems, predictive models, statistical analysis, sustainable machining

G. Rotella, S. Rizzuti, D. Umbrello

2013-07-01T23:59:59.000Z

370

Modelling of heat transfer at glass/mould interface in press and blow forming processes  

Science Conference Proceedings (OSTI)

Numerical models may play an important role in the optimization of the quality of hollow-ware glass articles in glass industry. Due to the complexity of the phenomena involved a coupling between thermal and mechanical aspects is crucial. One of the key ... Keywords: Finite elements, Glass forming, Heat conduction, Heat transfer coefficient, Interface element, Press/blow process

Sbastien Grgoire; Jos M. A. Csar de S; Philippe Moreau; Dominique Lochegnies

2007-08-01T23:59:59.000Z

371

Physical Properties Models for Simulation of Processes to Treat INEEL Tank Farm Waste: Thermodynamic Equilibrium  

SciTech Connect

A status is presented of the development during FY2002 of a database for physical properties models for the simulation of the treatment of Sodium-Bearing Waste (SBW) at the Idaho National Engineering and Environmental Laboratory. An activity coefficient model is needed for concentrated, aqueous, multi-electrolyte solutions that can be used by process design practitioners. Reasonable first-order estimates of activity coefficients in the relevant media are needed rather than an incremental improvement in theoretical approaches which are not usable by practitioners. A comparison of the Electrolyte Non-Random Two-Liquid (ENRTL) and Pitzer ion-interaction models for the thermodynamic representation of SBW is presented. It is concluded that Pitzer's model is superior to ENRTL in modeling treatment processes for SBW. The applicability of the Pitzer treatment to high concentrations of pertinent species and to the determination of solubilities and chemical equilibria is addressed. Alternate values of Pitzer parameters for HCl, H2SO4, and HNO3 are proposed, applicable up to 16m, and 12m, respectively. Partial validation of the implementation of Pitzer's treatment within the commercial process simulator ASPEN Plus was performed.

Nichols, T.T.; Taylor, D.D.

2002-07-18T23:59:59.000Z

372

Physical Properties Models for Simulation of Processes to Treat INEEL Tank Farm Waste: Thermodynamic Equilibrium  

SciTech Connect

A status is presented of the development during FY2002 of a database for physical properties models for the simulation of the treatment of Sodium-Bearing Waste (SBW) at the Idaho National Engineering and Environmental Laboratory. An activity coefficient model is needed for concentrated, aqueous, multi-electrolyte solutions that can be used by process design practitioners. Reasonable first-order estimates of activity coefficients in the relevant media are needed rather than an incremental improvement in theoretical approaches which are not usable by practitioners. A comparison of the Electrolyte Non-Random Two-Liquid (ENRTL) and Pitzer ion-interaction models for the thermodynamic representation of SBW is presented. It is concluded that Pitzer's model is superior to ENRTL in modeling treatment processes for SBW. The applicability of the Pitzer treatment to high concentrations of pertinent species and to the determination of solubilities and chemical equilibria is addressed. Alternate values of Pitzer parameters for HCl, H2SO4, and HNO3 are proposed, applicable up to 16m, and 12m, respectively. Partial validation of the implementation of Pitzer's treatment within the commercial process simulator ASPEN Plus was performed.

Nichols, Todd Travis; Taylor, Dean Dalton

2002-07-01T23:59:59.000Z

373

Product and Process Modeling for Functional Performance Testing in Low-Energy Building Embedded Commissioning Cases  

E-Print Network (OSTI)

Our work deals with creating information assistance for commissioning (Cx) low-energy buildings throughout their life-cycle. We call this Embedded Commissioning in reference to the integration of persistent and reliable Cx information. We have developed digital models of the Cx process and products. Currently, we are testing system inspection and functional performance test (FPT) protocols developed by others to verify their applicability to individual facilities and compatibility with our product models, as well as standards, such as IFC and aecXML. To date we have tested a fin-tube radiant heat system FPT. Our findings include lessons learned in several areas: (1) adapting standard FPTs to specific facilities and their design intent, (2) common performance retarding system defects, and (3) implications for data representation in product/process models for FPT implementation.

Akcamete, A.; Garrett, J.; Akinci, B.; Akin, O.; Lee, K. J.

2007-01-01T23:59:59.000Z

374

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

E-Print Network (OSTI)

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...

Scholz, Teresa; Estanqueiro, Ana

2013-01-01T23:59:59.000Z

375

Collaborative e-business process modelling: a holistic analysis framework focused on small and medium-sized enterprises  

Science Conference Proceedings (OSTI)

In this work, we propose a holistic analysis framework for collaborative e-Business process modelling approaches that takes into account the specific challenges small and medium-sized enterprises (SME) are facing with regard to modelling inter-organizational ... Keywords: analysis framework, business process management, collaborative business process, e-business, service-oriented architecture, sme

Volker Hoyer; Oliver Christ

2007-04-01T23:59:59.000Z

376

Developing a CD-CBM Anticipatory Approach for Cavitation - Defining a Model Descriptor Consistent Between Processes  

Science Conference Proceedings (OSTI)

A major problem with cavitation in pumps and other hydraulic devices is that there is no effective method for detecting or predicting its inception. The traditional approach is to declare the pump in cavitation when the total head pressure drops by some arbitrary value (typically 3o/0) in response to a reduction in pump inlet pressure. However, the pump is already cavitating at this point. A method is needed in which cavitation events are captured as they occur and characterized by their process dynamics. The object of this research was to identify specific features of cavitation that could be used as a model-based descriptor in a context-dependent condition-based maintenance (CD-CBM) anticipatory prognostic and health assessment model. This descriptor was based on the physics of the phenomena, capturing the salient features of the process dynamics. An important element of this concept is the development and formulation of the extended process feature vector @) or model vector. Thk model-based descriptor encodes the specific information that describes the phenomena and its dynamics and is formulated as a data structure consisting of several elements. The first is a descriptive model abstracting the phenomena. The second is the parameter list associated with the functional model. The third is a figure of merit, a single number between [0,1] representing a confidence factor that the functional model and parameter list actually describes the observed data. Using this as a basis and applying it to the cavitation problem, any given location in a flow loop will have this data structure, differing in value but not content. The extended process feature vector is formulated as follows: E`> [ , {parameter Iist}, confidence factor]. (1) For this study, the model that characterized cavitation was a chirped-exponentially decaying sinusoid. Using the parameters defined by this model, the parameter list included frequency, decay, and chirp rate. Based on this, the process feature vector has the form: @=> [, {01 = a, ~= b, ~ = c}, cf = 0.80]. (2) In this experiment a reversible catastrophe was examined. The reason for this is that the same catastrophe could be repeated to ensure the statistical significance of the data.

Allgood, G.O.; Dress, W.B.; Kercel, S.W.

1999-05-10T23:59:59.000Z

377

Preprint of the article published in ASM Handbook Vol. 22A, Fundamentals of Modeling for Metals Processing  

E-Print Network (OSTI)

Preprint of the article published in ASM Handbook Vol. 22A, Fundamentals of Modeling for Metals Handbook, volume 22A Fundamentals of Modeling for Metals Processing, D.U. Furrer and S.L. Semiatin (Ed.) (2009) 203-219" #12;E. Clouet, Modeling of Nucleation Processes ASM Handbook vol. 22A (2009), pp. 203

Paris-Sud XI, Université de

378

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

DOE Green Energy (OSTI)

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.

Nelson, P. A.

2011-10-20T23:59:59.000Z

379

Developing a Process-Oriented Notation for Modeling Operational Risks - A Conceptual Metamodel Approach to Operational Risk Management in Knowledge Intensive Business Processes within the Financial Industry  

Science Conference Proceedings (OSTI)

According to the Basel II committee operational risks are the least understood and manageable risks in banks. Operational risks in banks are closely linked to the underlying business process landscape. Recently, researchers have suggested to model this ...

Burkhard Weiss; Axel Winkelmann

2011-01-01T23:59:59.000Z

380

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

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.

Ray, W. Harmon

2002-06-05T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Modeling Thermal-Hydrologic Processes for a Heated Fractured Rock System: Impact of a Capillary-Pressure Maximum  

E-Print Network (OSTI)

Tsang, Y.W. : Modeling the thermal-hydrologic processes in aanalyses of heterogeneity and thermal-loading factors for a2005 Lin, W. , Sun, Y. : Thermal hydrological processes in

Sun, Y.; Buscheck, T. A.; Lee, K. H.; Hao, Y.; James, S. C.

2010-01-01T23:59:59.000Z

382

Baroclinic Adjustment in an AtmosphereOcean Thermally Coupled Model: The Role of the Boundary Layer Processes  

Science Conference Proceedings (OSTI)

Baroclinic eddy equilibration and the roles of different boundary layer processes in limiting the baroclinic adjustment are studied using an atmosphereocean thermally coupled model. Boundary layer processes not only affect the dynamical ...

Yang Zhang; Peter H. Stone

2011-11-01T23:59:59.000Z

383

Products and Process Modeling in Cx: A Significant Challenge for Digital-Cx  

E-Print Network (OSTI)

In the next decade, digitalization of commissioning (Cx) is likely to be a key advance, in the field of AEC. This requires that as much of what we do manually, through word processing and spreadsheets can be done through sophisticated computer applications to enhance Cx productivity. The first step in achieving this is the creation of reliable, persistent, accurate, just-in-time, and easily accessible Cx information. Towards this end we are building a proof-of-concept prototype for functional performance tests (FPT) that can help Cx agents derive product models through specifying process descriptions.

Akin, O.; Akinci, B.; Garrett, J.; Lee, K. J.

2008-10-01T23:59:59.000Z

384

Validation of New Process Models for Large Injection-Molded Long-Fiber Thermoplastic Composite Structures  

Science Conference Proceedings (OSTI)

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.

Nguyen, Ba Nghiep; Jin, Xiaoshi; Wang, Jin; Kunc, Vlastimil; Tucker III, Charles L.

2012-02-23T23:59:59.000Z

385

Integrated process modeling for the laser inertial fusion Energy (LIFE) generation system  

Science Conference Proceedings (OSTI)

A concept for a new fusion-fission hybrid technology is being developed at Lawrence Livermore National Laboratory. The primary application of this technology is base-load electrical power generation. However, variants of the baseline technology can be used to 'burn' spent nuclear fuel from light water reactors or to perform selective transmutation of problematic fission products. The use of a fusion driver allows very high burn-up of the fission fuel, limited only by the radiation resistance of the fuel form and system structures. As a part of this process, integrated process models have been developed to aid in concept definition. Several models have been developed. A cost scaling model allows quick assessment of design changes or technology improvements on cost of electricity. System design models are being used to better understand system interactions and to do design trade-off and optimization studies. Here we describe the different systems models and present systems analysis results. Different market entry strategies are discussed along with potential benefits to US energy security and nuclear waste disposal. Advanced technology options are evaluated and potential benefits from additional R&D targeted at the different options is quantified.

Meier, W R; Anklam, T M; Erlandson, A C; Miles, R R; Simon, A J; Sawicki, R; Storm, E

2009-10-22T23:59:59.000Z

386

Coupled modeling of groundwater flow solute transport, chemical reactions and microbial processes in the 'SP' island  

Science Conference Proceedings (OSTI)

The Redox Zone Experiment was carried out at the Aespoe HRL in order to study the redox behavior and the hydrochemistry of an isolated vertical fracture zone disturbed by the excavation of an access tunnel. Overall results and interpretation of the Redox Zone Project were reported by /Banwart et al, 1995/. Later, /Banwart et al, 1999/ presented a summary of the hydrochemistry of the Redox Zone Experiment. Coupled groundwater flow and reactive transport models of this experiment were carried out by /Molinero, 2000/ who proposed a revised conceptual model for the hydrogeology of the Redox Zone Experiment which could explain simultaneously measured drawdown and salinity data. The numerical model was found useful to understand the natural system. Several conclusions were drawn about the redox conditions of recharge waters, cation exchange capacity of the fracture zone and the role of mineral phases such as pyrite, calcite, hematite and goethite. This model could reproduce the measured trends of dissolved species, except for bicarbonate and sulfate which are affected by microbially-mediated processes. In order to explore the role of microbial processes, a coupled numerical model has been constructed which accounts for water flow, reactive transport and microbial processes. The results of this model is presented in this report. This model accounts for groundwater flow and reactive transport in a manner similar to that of /Molinero, 2000/ and extends the preliminary microbial model of /Zhang, 2001/ by accounting for microbially-driven organic matter fermentation and organic matter oxidation. This updated microbial model considers simultaneously the fermentation of particulate organic matter by yeast and the oxidation of dissolved organic matter, a product of fermentation. Dissolved organic matter is produced by yeast and serves also as a substrate for iron-reducing bacteria. Model results reproduce the observed increase in bicarbonate and sulfate concentration, thus adding additional evidence for the possibility of organic matter oxidation as the main source of bicarbonate. Model results indicate that pH and Eh are relatively stable. The dissolution-precipitation trends of hematite, pyrite and calcite also coincide with those indicated by the conceptual model. A thorough sensitivity analysis has been performed for the most relevant microbial parameters as well as for initial and boundary POC and DOC concentrations. The results of such analysis indicate that computed concentrations of bicarbonate, sulfate and DOC are sensitive to most of the microbial parameters, including specific growth rates, half-saturation constants, proportionality coefficients and yield coefficients. Model results, however, are less sensitive to the yield coefficient of DOC to iron-reducer bacteria. The sensitivity analysis indicates that changes in fermentation microbial parameters affect the growth of the iron-reducer, thus confirming the interconnection of both microbial processes. Computed concentrations of bicarbonate and sulfate are found to be sensitive to changes in the initial concentration of POC and the boundary concentration of DOC, but they lack sensitivity to the initial concentration of DOC and the boundary concentration of POC. The explanation for such result is related to the fact that POC has a low mobility due to its large molecular weight. DOC, however, can migrate downwards. Although a coupled hydro-bio-geochemical 1-D model can reproduce the observed ''unexpected'' increase of concentrations of bicarbonate and sulfate at a depth of 70 m, further modeling work is required in order to obtain a similar conclusion under the more realistic two dimensional conditions of the fracture zone.

Samper, Javier; Molinero, Jorg; Changbing, Yang; Zhang, Guoxiang

2003-12-01T23:59:59.000Z

387

A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring  

Science Conference Proceedings (OSTI)

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.

Rodgers, A; Harris, D; Pasyanos, M

2007-03-14T23:59:59.000Z

388

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

E-Print Network (OSTI)

Measuring process safety performance is a challenge, and the wide variations in understanding, compliance, and implementation of process safety programs increase the challenge. Process safety can be measured in three strata: (1) measurement of process safety elements within facilities; (2) benchmarking of process safety elements among facilities; and (3) use of incident data collection from various sources for industrial safety performance assessment. The methods presently available for measurement of process safety within facilities are deficient because the results are strongly dependent on user judgment. Performance benchmarking among facilities is done within closed groups of organizations. Neither the questionnaires nor the results are available to the public. Many organizations collect data on industrial incidents. These organizations differ from each other in their interests, data collection procedures, definitions, and scope, and each of them analyzes its data to achieve its objectives. However, there have been no attempts to explore the potential of integrating data sources and harnessing these databases for industrial safety performance assessment. In this study we developed models to pursue the measurement of samples of the strata described above. The measurement methodologies employed herein overcome the disadvantages of existing methodologies and increase their capabilities.

Keren, Nir

2003-12-01T23:59:59.000Z

389

Simplified modeling of solar process heating systems using stochastic weather input  

SciTech Connect

A model has been developed which accurately predicts solar district heating and industrial process heating collection performance on a daily basis. The model is system specific with no storage and constant load return temperature. This model was tested for its statistical significance and found to be highly significant. Performance data to construct the model were generated through numerous TRNSYS runs. Physically important variables were then chosen for inclusion in a statistical regression analysis. The variables, which are readily available on a daily basis, were daily radiation, mean twenty-four hour temperature, and collector and system characteristics. The weather input to the model may be real measured radiation values or artificially generated radiation values. The temperature may be daily averages when real radiation values are used or monthly averages when artificial radiation is used. It is shown that there is little difference in prediction when monthly temperature is used rather than the daily values. The performance model was developed from six months of Toronto, Canada, hourly data. The validation was performed with meteorological year locations, Albuquerque, Seattle, and Miami, chosen for climate diversity. The accuracy was excellent, even on a daily basis. A model was then developed from data of all four locations. The artificial data was tested for prediction accuracy for Toronto. Where the beta distribution fit well, the accuracy was good. Where the beta distribution did not fit as well, the accuracy was acceptable.

Boardman, E.C.

1986-01-01T23:59:59.000Z

390

Process Options Description for Vitrification Flowsheet Model of INEEL Sodium Bearing Waste  

SciTech Connect

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.

Nichols, Todd Travis; Taylor, Dean Dalton; Lauerhass, Lance; Barnes, Charles Marshall

2001-02-01T23:59:59.000Z

391

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes  

E-Print Network (OSTI)

This paper is devoted to the estimation of a vector $\\bm {\\theta}$ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.

Billiot, Jean-Michel; Drouilhet, Rmy

2008-01-01T23:59:59.000Z

392

The Sulfur-Iodine Cycle: Process Analysis and Design Using Comprehensive Phase Equilibrium Measurements and Modeling  

DOE Green Energy (OSTI)

Of the 100+ thermochemical hydrogen cycles that have been proposed, the Sulfur-Iodine (S-I) Cycle is a primary target of international interest for the centralized production of hydrogen from nuclear power. However, the cycle involves complex and highly nonideal phase behavior at extreme conditions that is only beginning to be understood and modeled for process simulation. The consequence is that current designs and efficiency projections have large uncertainties, as they are based on incomplete data that must be extrapolated from property models. This situation prevents reliable assessment of the potential viability of the system and, even more, a basis for efficient process design. The goal of this NERI award (05-006) was to generate phase-equilibrium data, property models, and comprehensive process simulations so that an accurate evaluation of the S-I Cycle could be made. Our focus was on Section III of the Cycle, where the hydrogen is produced by decomposition of hydroiodic acid (HI) in the presence of water and iodine (I2) in a reactive distillation (RD) column. The results of this project were to be transferred to the nuclear hydrogen community in the form of reliable flowsheet models for the S-I process. Many of the project objectives were achieved. At Clemson University, a unique, tantalum-based, phase-equilibrium apparatus incorporating a view cell was designed and constructed for measuring fluid-phase equilibria for mixtures of iodine, HI, and water (known as HIx) at temperatures to 350 C and pressures to 100 bar. Such measurements were of particular interest for developing a working understanding of the expected operation of the RD column in Section III. The view cell allowed for the IR observation and discernment of vapor-liquid (VL), liquid-liquid, and liquid-liquid-vapor (LLVE) equilibria for HIx systems. For the I2-H2O system, liquid-liquid equilibrium (LLE) was discovered to exist at temperatures up to 310-315 C, in contrast to the models and predictions of earlier workers. For the I2-HI-H2O ternary, LLE and LLVE were all observed for the first time at temperatures of 160 and 200 C. Three LLE tie-lines were measured at 160 C, and preliminary indications are that the underlying phase behavior could result in further improvements in the performance of the S-I Cycle. Unfortunately, these new results were obtained too late in the project to be incorporated into the modeling and simulation work described below. At the University of Virginia, a uniquely complete and reliable model was developed for the thermodynamic properties of HIx, covering the range of conditions expected for the separation of product hydrogen and recycled iodine in the RD column located in Section III. The model was validated with all available property spectroscopy data. The results provide major advances over prior understanding of the chemical speciation involved. The model was implemented in process simulation studies of the S-I Cycle, which showed improvement in energy efficiency to 42%, as well as significantly smaller capital requirements due to lower pressure operation and much smaller equipment sizes. The result is that the S-I Cycle may be much more economically feasible than was previously thought. If both the experimental and modeling work described above were to be continued to ultimate process optimization, both the American public and the global community would benefit from this alternative energy source that does not produce carbon emissions.

Thies, Mark C.; O'Connell, J. P.; Gorensek, Maximilian B.

2010-01-10T23:59:59.000Z

393

Model reduction and physical understanding of slowly oscillating processes : the circadian cycle.  

Science Conference Proceedings (OSTI)

A differential system that models the circadian rhythm in Drosophila is analyzed with the computational singular perturbation (CSP) algorithm. Reduced nonstiff models of prespecified accuracy are constructed, the form and size of which are time-dependent. When compared with conventional asymptotic analysis, CSP exhibits superior performance in constructing reduced models, since it can algorithmically identify and apply all the required order of magnitude estimates and algebraic manipulations. A similar performance is demonstrated by CSP in generating data that allow for the acquisition of physical understanding. It is shown that the processes driving the circadian cycle are (i) mRNA translation into monomer protein, and monomer protein destruction by phosphorylation and degradation (along the largest portion of the cycle); and (ii) mRNA synthesis (along a short portion of the cycle). These are slow processes. Their action in driving the cycle is allowed by the equilibration of the fastest processes; (1) the monomer dimerization with the dimer dissociation (along the largest portion of the cycle); and (2) the net production of monomer+dimmer proteins with that of mRNA (along the short portion of the cycle). Additional results (regarding the time scales of the established equilibria, their origin, the rate limiting steps, the couplings among the variables, etc.) highlight the utility of CSP for automated identification of the important underlying dynamical features, otherwise accessible only for simple systems whose various suitable simplifications can easily be recognized.

Goussis, Dimitris A. (Ploutonos 7, Palaio Faliro, Greece); Najm, Habib N.

2006-01-01T23:59:59.000Z

394

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

SciTech Connect

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 4060 kg/m3 for lignocellulosic and 200400 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.

Jaya Shankar Tumuluru; Christopher T. Wright

2010-06-01T23:59:59.000Z

395

Towards an Automated Digital Data Forensic Model with specific reference to Investigation Processes  

E-Print Network (OSTI)

Existing digital forensics frameworks do not provide clear guidelines for conducting digital forensics investigation. However, had a framework existed, investigations based on known procedures and processes would follow strict prescribed standardisation. This should direct investigations following a set method for comparisons; ensuring future investigation is following one standard. Digital forensics lack confirmed and tested methods; this became obvious when we consider varied interpretations of the same case by participants using different investigation methods. Previous research covered several approaches to setting a forensics framework, which are mere adaptations of previous models. We found that only a few models present a framework that defines or delivers qualified likeness between the different disciplines. From this, possible pattern analysis from different disciplines is possible (Kohn, 2007). This underlines the need to standardise processes, to ensure proven and consistent results. Digital Forensics Science needs a new approach, defining and standardising investigation processes by affirming an investigation framework. Present research does not enough cover how existing forensic frameworks are used as guideline while conduct investigations. As a result, wide general interpretations are possible instead of following a set standard. Investigation processes and in particular how data confirmation is conducted during and after

Australian Digital; Forensics Conference; Johan Scholtz; Ajit Narayanan; Johan Scholtz; Professor Ajit Narayanan

2010-01-01T23:59:59.000Z

396

Mathematical Modeling of Aerodynamic Space -to - Surface Flight with Trajectory for Avoid Intercepting Process for Safety and Security Issues  

E-Print Network (OSTI)

The research project has been made for mathematical modeling of aerospace system Space-to-Surface for avoid intercepting process by flight objects Surface-to-Air. The research has been completed and created mathematical models which used for research and statistical analysis. In mathematical modeling has been including a few models: Model of atmosphere, Model of speed of sound, Model of flight head in space, Model of flight in atmosphere, Models of navigation and guidance, Model and statistical analysis of approximation of aerodynamic characteristics. Modeling has been created for a Space-to-Surface system defined for an optimal trajectory in terminal phase. The modeling includes models for simulation atmosphere, aerodynamic flight and navigation by an infrared system. The modeling simulation includes statistical analysis of the modeling results.

Gorneff, Serge

2009-01-01T23:59:59.000Z

397

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

Science Conference Proceedings (OSTI)

The purpose of this revision of ''Evaluation of the Applicability of Biosphere-Related Features, Events, and Processes (FEPs)'' (BSC 2001) is to document the screening analysis of biosphere-related primary FEPs, as identified in ''The Development of Information Catalogued in REV00 of the YMP FEP Database'' (Freeze et al. 2001), in accordance with the requirements of the final U.S. Nuclear Regulatory Commission (NRC) regulations at 10 CFR Part 63. This database is referred to as the Yucca Mountain Project (YMP) FEP Database throughout this document. Those biosphere-related primary FEPs that are screened as applicable will be used to develop the conceptual model portion of the biosphere model, which will in turn be used to develop the mathematical model portion of the biosphere model. As part of this revision, any reference to the screening guidance or criteria provided either by Dyer (1999) or by the proposed NRC regulations at 64 FR 8640 has been removed. The title of this revision has been changed to more accurately reflect the purpose of the analyses. In addition, this revision will address Item Numbers 19, 20, 21, 25, and 26 from Attachment 2 of ''U.S. Nuclear Regulatory Commission/U.S. Department of Energy Technical Exchange and Management Meeting on Total System Performance Assessment and Integration (August 6 through 10, 2001)'' (Reamer 2001). This Scientific Analysis Report (SAR) does not support the current revision to the YMP FEP Database (Freeze et al. 2001). Subsequent to the release of the YMP FEP Database (Freeze et al. 2001), a series of reviews was conducted on both the FEP processes used to support Total System Performance Assessment for Site Recommendation and to develop the YMP FEP Database. In response to observations and comments from these reviews, particularly the NRC/DOE TSPA Technical Exchange in August 2001 (Reamer 2001), several Key Technical Issue (KTI) Agreements were developed. ''The Enhanced Plan for Features, Events and Processes (FEPs) at Yucca Mountain'' (BSC 2002a), herein referred to as the Enhanced FEP Plan, was developed to directly address KTI Agreement TSPAI 2.05, and to generally address other KTI Agreements and issues (BSC 2002a, pp. 16 to 18). The Enhanced FEP Plan addresses the regulatory requirements of 10 CFR Part 63, identifies and implements specific enhancements, and supports the License Application (BSC 2002a, p. 2). This SAR is not intended to implement any of the enhancements identified in the Enhanced FEP Plan, although it does consider the intent of the Enhanced FEP Plan to simplify the screening analysis. This SAR is one of nine technical reports containing the documentation for the biosphere model being developed, its input parameters, and the application of the model to develop biosphere dose conversion factors (BDCFs). Figure 1 shows the anticipated interrelationship between these nine technical reports and the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), commonly referred to as the biosphere model. The biosphere model belongs to the series of process models supporting the Total System Performance Assessment for the License Application. Specifically, the biosphere model provides the performance assessment with the capability to perform dose assessment.

J. J. Tappen

2003-02-16T23:59:59.000Z

398

Application of fundamental kinetic modeling to industrial chlorination and partial oxidation processes  

E-Print Network (OSTI)

The Fundamental Kinetic Modeling (FKM) method is able to use a growing amount of elementary kinetic rate constant data to simulate industrial reactions and therefore gain insight and predictive capabilities beyond those of traditional empirical kinetic models. Because traditional empirical kinetic models often simplify the underlying kinetics into a single overall reaction, these recently determined values cannot be used directly. In addition to simulating irreducible chemical events as opposed to an overall reaction, the FKM does not make assumptions about microscopic reversibility. To obtain the reverse rate constants, the thermophysical properties for the species are required. Advances in computing technology have made ab initio quantum chemical calculations feasible for oxygenated and chlorinated hydrocarbons. Thermophysical properties for species that cannot be obtained experimentally are now available with greater accuracy than using prior estimating techniques. The FKM method is able to use these values to obtain information about temperature and concentration profiles as well as product distributions and selectivities for a variety of reactor configurations. The application of the FKM method to industrial reactions could be used to optimize existing operating conditions or to predict novel processes. One such chemistry is the oxychlorination of ethane to vinyl chloride. The problem is most easily solved in three steps: the development of a thermal chlorination model, the development of a partial oxidation model, and the combination of the two models with the necessary additional species and reactions. This work focuses on the first two steps. A thermal chlorination model is verified against two sources of experimental data with good quantitative agreement. In addition, differences in product distributions are explained by examining the kinetic pathways. Also, an existing partial oxidation model is combined with newly calculated thermophysical properties. The agreement with two experimental data sources is not as good quantitatively; however, qualitative agreement is observed. Areas for improvement to obtain quantitative agreement are determined.

Han, Joseph Hsiao-Tien

2000-01-01T23:59:59.000Z

399

Measurement and modeling of advanced coal conversion processes. Twenty-first quarterly report, October 1, 1991--December 31, 1991  

SciTech Connect

The objective of this study are to establish the mechanisms and rates of basic steps in coal conversion processes, to integrate and incorporate this information into comprehensive computer models for coal conversion processes, to evaluate these models and to apply them to gasification, mild gasification and combustion in heat engines.

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

1991-12-31T23:59:59.000Z

400

Modeling and Analyzing NBTI in the Presence of Process Variation Taniya Siddiqua, Sudhanva Gurumurthi, Mircea R. Stan  

E-Print Network (OSTI)

technology generation, NBTI and Process Variation (PV) have become very important silicon reliability to process vari- ation. We use this model to analyze the combined impact of NBTI and PV on a memory structure. There have been several efforts in developing analyti- cal models for NBTI and PV at the circuit-level. How

Gurumurthi, Sudhanva

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Estimation dynamical model of an anaerobic digestion of shrimp culture pond sediment in a biogas process using genetic algorithm  

Science Conference Proceedings (OSTI)

Biogas is one type of renewable energy which is important to the energy and environmental planning of Thailand. The study and analysis of the dynamical model of the biogas process can be explained the variables that affect biogas process and optimization. ... Keywords: anaerobic digestion, artificial intelligence, biogas process, mass balance equation, system identification

Jiraphon Srisertpol; Prasit Srinakorn; Adtavirod Kheawnak; Kontorn Chamniprasart; Arthit Srikaew

2010-10-01T23:59:59.000Z

402

A comparison of two data analysis techniques and their applications for modeling the carbon dioxide capture process  

Science Conference Proceedings (OSTI)

Improving the efficiency of the carbon dioxide (CO"2) capture process requires a good understanding of the intricate relationships among parameters involved in the process. The objective of this research is to study the nature of relationships among ... Keywords: CO2 capture process, Data modeling, Neural network, Sensitivity analysis, Statistical analysis

Yuxiang Wu; Qing Zhou; Christine W. Chan

2010-12-01T23:59:59.000Z

403

Processing, Characterization and Modeling Carbon Nanotube Modified Interfaces in Hybrid Polymer Matrix Composites  

E-Print Network (OSTI)

Multifunctional hybrid composites are proposed as novel solutions to meet the demands in various industrial applications ranging from aerospace to biomedicine. The combination of carbon fibers and/or fabric, metal foil and carbon nanotubes are utilized to develop such composites. This study focuses on processing of and fracture toughness characterization of the carbon fiber reinforced polymer matrix composites (PMC) and the CNT modified interface between PMC and a metal foil. The laminate fabrication process using H-VARTM, and the mode I interlaminar fracture toughness via double cantilever beam (DCB) tests at both room temperature and high temperature are conducted. The cross-sections and fracture surfaces of the panels are characterized using optical and scanning electron microscopes to verify the existence of CNTs at the interface before and after fracture tests. The experimental results reveal that CNTs improve bonding at the hybrid interfaces. Computational models are developed to assist the interpretation of experimental results and further investigate damage modes. In this work, analytical solutions to compute the total strain energy release rate as well as mode I and mode II strain energy release rates of asymmetric configurations layups are utilized. Finite element models are developed in which the virtual crack closure technique is adopted to calculate strain energy release rates and investigate the degree and effect of mode-mixity. Results from analytical solutions agree well with each other and with results obtained from finite element models.

Truong, Hieu 1990-

2012-12-01T23:59:59.000Z

404

Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering  

E-Print Network (OSTI)

We developed a new quantum annealing (QA) algorithm for Dirichlet process mixture (DPM) models based on the Chinese restaurant process (CRP). QA is a parallelized extension of simulated annealing (SA), i.e., it is a parallel stochastic optimization technique. Existing approaches [Kurihara et al. UAI2009, Sato et al. UAI2009] and cannot be applied to the CRP because their QA framework is formulated using a fixed number of mixture components. The proposed QA algorithm can handle an unfixed number of classes in mixture models. We applied QA to a DPM model for clustering vertices in a network where a CRP seating arrangement indicates a network partition. A multi core processor was used for running QA in experiments, the results of which show that QA is better than SA, Markov chain Monte Carlo inference, and beam search at finding a maximum a posteriori estimation of a seating arrangement in the CRP. Since our QA algorithm is as easy as to implement the SA algorithm, it is suitable for a wide range of applications.

Issei Sato; Shu Tanaka; Kenichi Kurihara; Seiji Miyashita; Hiroshi Nakagawa

2013-05-19T23:59:59.000Z

405

Characterization of U(VI) Sorption-Desorption Processes and Model Upscaling  

SciTech Connect

The objectives of the overall collaborative EMSP effort (with which this project is associated) were to characterize sorption and desorption processes of U(VI) on pristine and contaminated Hanford sediments over a range of sediment facies and materials properties and to relate such characterization both to fundamental molecular-scale understanding and field-scale models of geochemistry and mass transfer. The research was intended to provide new insights on the mechanisms of U(VI) retardation at Hanford, and to allow the development of approaches by which laboratory-developed geochemical models could be upscaled for defensible field-scale predictions of uranium transport in the environment. Within this broader context, objectives of the JHU-based project were to test hypotheses regarding the coupled roles of adsorption and impermeable-zone diffusion in controlling the fate and transport of U(VI) species under conditions of comparatively short-term exposure. In particular, this work tested the following hypotheses: (1) the primary adsorption processes in the Hanford sediment over the pH range of 7 to 10 are surface complexation reactions of aqueous U(VI) hydroxycarbonate and carbonate complexes with amphoteric edge sites on detrital phyllosilicates in the silt/clay size fraction; (2) macroscopic adsorption intensity (at given aqueous conditions) is a function of mineral composition and aquatic chemistry; and (3) equilibrium sorption and desorption to apply in short-term, laboratory-spiked pristine sediments; and (4) interparticle diffusion can be fully understood in terms of a model that couples molecular diffusion of uranium species in the porewater with equilibrium sorption under the relevant aqueous conditions. The primary focus of the work was on developing and applying both models and experiments to test the applicability of "local equilibrium" assumptions in the modeling interpretation of sorption retarded interparticle diffusion, as relevant to processes of U(VI) diffusion in silt/clay layers. Batch isotherm experiments were first used to confirm sorption isotherms under the intended test conditions and diffusion cell experiments were then conducted to explore the diffusion hypotheses. Important new information was obtained about the role of aqueous calcium and solid calcium carbonate in controlling sorption equilibrium with Hanford sediments. The retarded interparticle diffusion model with local sorption equilibrium was shown to very successfully simulate diffusion at high aqueous concentration of U(VI). By contrast, however, diffusion data obtained at low concentration suggested nonequilibrium of sorption even at diffusion time scales. Such nonequilibrium effects at low concentration are likely to be the result of sorption retarded intraparticle diffusion, and strong U(VI) sorption in the low concentration range.

Bai, Jing; Dong, Wenming; Ball, William P.

2006-10-12T23:59:59.000Z

406

Towards increased policy relevance in energy modeling  

SciTech Connect

Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

2003-07-29T23:59:59.000Z

407

OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS  

NLE Websites -- All DOE Office Websites (Extended Search)

222 222 Center for Transportation Analysis Energy and Transportation Science Division OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS 2008 Updates Ho-Ling Hwang, Ph.D. Stacy Davis Date Published: December 2009 Prepared by OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6283 managed by UT-BATTELLE, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-00OR22725 iii TABLE OF CONTENTS LIST OF FIGURES AND TABLES....................................................................................v LIST OF ACRONYMS .................................................................................................... vii ABSTRACT ....................................................................................................................... ix

408

3D Modeling of Coupled Rock Deformation and Thermo-Poro-Mechanical Processes in Fractures  

E-Print Network (OSTI)

Problems involving coupled thermo-poro-chemo-mechanical processes are of great importance in geothermal and petroleum reservoir systems. In particular, economic power production from enhanced geothermal systems, effective water-flooding of petroleum reservoirs, and stimulation of gas shale reservoirs are significantly influenced by coupled processes. During such procedures, stress state in the reservoir is changed due to variation in pore fluid pressure and temperature. This can cause deformation and failure of weak planes of the formation with creation of new fractures, which impacts reservoir response. Incorporation of geomechanical factor into engineering analyses using fully coupled geomechanics-reservoir flow modeling exhibits computational challenges and numerical difficulties. In this study, we develop and apply efficient numerical models to solve 3D injection/extraction geomechanics problems formulated within the framework of thermo-poro-mechanical theory with reactive flow. The models rely on combining Displacement Discontinuity (DD) Boundary Element Method (BEM) and Finite Element Method (FEM) to solve the governing equations of thermo-poro-mechanical processes involving fracture/reservoir matrix. The integration of BEM and FEM is accomplished through direct and iterative procedures. In each case, the numerical algorithms are tested against a series of analytical solutions. 3D study of fluid injection and extraction into the geothermal reservoir illustrates that thermo-poro-mechanical processes change fracture aperture (fracture conductivity) significantly and influence the fluid flow. Simulations that consider joint stiffness heterogeneity show development of non-uniform flow paths within the crack. Undersaturated fluid injection causes large silica mass dissolution and increases fracture aperture while supersaturated fluid causes mineral precipitation and closes fracture aperture. Results show that for common reservoir and injection conditions, the impact of fully developed thermoelastic effect on fracture aperture tend to be greater compare to that of poroelastic effect. Poroelastic study of hydraulic fracturing demonstrates that large pore pressure increase especially during multiple hydraulic fracture creation causes effective tensile stress at the fracture surface and shear failure around the main fracture. Finally, a hybrid BEFEM model is developed to analyze stress redistribution in the overburden and within the reservoir during fluid injection and production. Numerical results show that fluid injection leads to reservoir dilation and induces vertical deformation, particularly near the injection well. However, fluid withdrawal causes reservoir to compact. The Mandel-Cryer effect is also successfully captured in numerical simulations, i.e., pore pressure increase/decrease is non-monotonic with a short time values that are above/below the background pore pressure.

Rawal, Chakra

2012-05-01T23:59:59.000Z

409

Ridge, Bulk, and Medium Response: How to Kill Models and Learn Something in the Process  

E-Print Network (OSTI)

In these proceedings, we highlight experimental data (published and preliminary) related to jet quenching and the response of the medium to this deposited energy. Signatures in two- and three- particle hadron correlations indicate interesting structures near the trigger particle in azimuth and over a broad range in pseudo-rapidity, often termed "the ridge", and conical-like structures separated in azimuth opposite to the trigger particle. We review numerous theoretical interpretations of the ridge in particular with a critical eye for the key properties that allow one to discriminate between, or rule out, certain physical pictures and models (and hopefully learn something in the process).

J. L. Nagle

2009-07-15T23:59:59.000Z

410

Modeling of the reburn process with the use of feedlot biomass as a reburn fuel  

E-Print Network (OSTI)

Coal fired power plants will face many challenges in the near future as new regulations, such as the Clear Sky Act, are being implemented. These regulations impose much stricter limits on NOx emissions and plan to impose limits on mercury emissions from coal fired boilers. At this time no technologies are currently being implemented for control of Hg and this explains the strong interest in this area by the Department of Energy (DOE). Reburn technology is a very promising technology to reduce NOx emissions. Previous experimental research at TAMU reported that Feedlot Biomass (FB) can be a very effective reburn fuel, for reduction of NOx up to 90%-95%; however, little work has been done to model such a process with Feedlot Biomass as reburn fuel. The present work addresses the development of a reburn model to predict NOx and Hg emissions. The model accounts for finite rate of heating of solid fuel particles, mixing with NOx laden hot gases, size distribution, finite gas phase and heterogeneous chemistry, and oxidation and reduction reactions for NOx and Hg. To reduce the computational effort all the reactions, except those involved in mercury oxidation, are modeled using global reactions. Once the model was validated by comparison with experimental findings, extensive parametric studies were performed to evaluate the parameters controlling NOx reduction. From DOE research programs some experimental data regarding the capture of mercury from power plant is available, but currently no experimental data are available for Hg emission with reburn process. This model has shown a very large mercury reduction using biomass as a reburn fuel. The model recommends the following correlations for optimum reduction of NOx: Equivalence Ratio should be above 1.05; mixing time should be below 100ms (especially for biomass); pure air can be used as the carrier gas; the thermal power fraction of the reburner should be between 15% and 25%; residence time should be at least 0.5s and the Surface Mean Diameter (SMD) of the size distribution should be as small as possible, at least below 100 m.

Colmegna, Giacomo

2007-05-01T23:59:59.000Z

411

Solar neutrino processes in the relativistic field theory model of the deuteron, nuclth/9811012  

E-Print Network (OSTI)

The generalized version of the relativistic field theory model of the deuteron (RFMD) is applied to the description of processes of astrophysical interest and lowenergy elastic NN scattering. The value of the astrophysical factor Spp(0) = 5.52 10?25MeV b for the solar proton burning p + p ? D + e + + ?e is found to be enhanced by a factor of 1.42 with respect to the classical value S ? pp (0) = 3.89 10?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 ?e + D ?

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

1998-01-01T23:59:59.000Z

412

High-level open evolvable systems design by process-oriented modeling: application to DNA replication mechanism  

Science Conference Proceedings (OSTI)

Open Evolvable Systems' design requires a methodological [1] and conceptual paradigm different from the conventional software design. Evolvable Systems' research [2, 6, 16, and 17] has established itself as a new research field, but the content is more ... Keywords: abstractions, design, design patterns, evolvable systems, framework, method, methodologies, modeling, process-oriented modeling, requirements analysis, requirements and architecture modeling, software engineering, specification

Behzad Bastani; Hoda Bastani

2007-11-01T23:59:59.000Z

413

Modeling Wettability Alteration using Chemical EOR Processes in Naturally Fractured Reservoirs  

Science Conference Proceedings (OSTI)

The objective of our search is to develop a mechanistic simulation tool by adapting UTCHEM to model the wettability alteration in both conventional and naturally fractured reservoirs. This will be a unique simulator that can model surfactant floods in naturally fractured reservoir with coupling of wettability effects on relative permeabilities, capillary pressure, and capillary desaturation curves. The capability of wettability alteration will help us and others to better understand and predict the oil recovery mechanisms as a function of wettability in naturally fractured reservoirs. The lack of a reliable simulator for wettability alteration means that either the concept that has already been proven to be effective in the laboratory scale may never be applied commercially to increase oil production or the process must be tested in the field by trial and error and at large expense in time and money. The objective of Task 1 is to perform a literature survey to compile published data on relative permeability, capillary pressure, dispersion, interfacial tension, and capillary desaturation curve as a function of wettability to aid in the development of petrophysical property models as a function of wettability. The new models and correlations will be tested against published data. The models will then be implemented in the compositional chemical flooding reservoir simulator, UTCHEM. The objective of Task 2 is to understand the mechanisms and develop a correlation for the degree of wettability alteration based on published data. The objective of Task 3 is to validate the models and implementation against published data and to perform 3-D field-scale simulations to evaluate the impact of uncertainties in the fracture and matrix properties on surfactant alkaline and hot water floods.

Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori

2007-09-30T23:59:59.000Z

414

Modeling of the reburning process using sewage sludge-derived syngas  

Science Conference Proceedings (OSTI)

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.

Werle, Sebastian, E-mail: sebastian.werle@polsl.pl [Institute of Thermal Technology, Silesian University of Technology at Gliwice, 44-100 Gliwice, Konarskiego 22 (Poland)

2012-04-15T23:59:59.000Z

415

Letter Report: Progress in developing EQ3/6 for modeling boiling processes  

DOE Green Energy (OSTI)

EQ3/6 is a software package for geochemical modeling of aqueous systems, such as water/rock or waste/water rock. It is being developed for a variety of applications in geochemical studies for the Yucca Mountain Site Characterization Project. The present focus is on development of capabilities to be used in studies of geochemical processes which will take place in the near-field environment and the altered zone of the potential repository. We have completed the first year of a planned two-year effort to develop capabilities for modeling boiling processes. These capabilities will interface with other existing and future modeling capabilities to provide a means of integrating the effects of various kinds of geochemical processes in complex systems. This year, the software has been modified to allow the formation of a generalized gas phase in a closed system for which the temperature and pressure are known (but not necessarily constant). The gas phase forms when its formation is thermodynamically favored; that is, when the system pressure is equal to the sum of the partial pressures of the gas species as computed from their equilibrium fugacities. It disappears when this sum falls below that pressure. `Boiling` is the special case in which the gas phase which forms consists mostly of water vapor. The reverse process is then `condensation.` To support calculations of boiling and condensation, we have added a capability to calculate the fugacity coefficients of gas species in the system H{sub 2}O-CO{sub 2}-CH{sub 4}-H{sub 2},-Awe{sub 2}-N{sub 2},-H{sub 2}S-NH3. This capability at present is accurate only at relatively low pressures, but is adequate for all likely repository boiling conditions. We have also modified the software to calculate changes in enthalpy (heat) and volume functions. Next year we will be extending the boiling capability to calculate the pressure or the temperature at known enthalpy. We will also add an option for open system boiling.

Wolery, T. J., LLNL

1995-08-28T23:59:59.000Z

416

Modeling of thermally driven hydrological processes in partially saturated fractured rock  

E-Print Network (OSTI)

the dominant heat-transfer process. Because the multipleof coupled heat transfer and reactive transport processes inflow, heat transfer, and phase transformation processes

Tsang, Yvonne

2010-01-01T23:59:59.000Z

417

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

E-Print Network (OSTI)

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.

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

1998-11-03T23:59:59.000Z

418

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

E-Print Network (OSTI)

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.

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

2013-07-24T23:59:59.000Z

419

MODELING ION-EXCHANGE PROCESSING WITH SPHERICAL RESINS FOR CESIUM REMOVAL  

SciTech Connect

The spherical Resorcinol-Formaldehyde and hypothetical spherical SuperLig? 644 ion-exchange resins are evaluated for cesium removal from radioactive waste solutions. Modeling results show that spherical SuperLig? 644 reduces column cycling by 50% for highpotassium solutions. Spherical Resorcinol Formaldehyde performs equally well for the lowestpotassium 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 postelution 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.

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

2012-09-19T23:59:59.000Z

420

COMMUNICATING SEQUENTIAL PROCESSES C.A.R. Hoare's Communicating Sequential Processes CSP is a model-language  

E-Print Network (OSTI)

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

Filman, Robert E.

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Fast Track Reservoir Modeling of Shale Formations in the Appalachian Basin. Application to Lower Huron Shale in Eastern Kentucky  

Science Conference Proceedings (OSTI)

In this paper a fast track reservoir modeling and analysis of the Lower Huron Shale in Eastern Kentucky is presented. Unlike conventional reservoir simulation and modeling which is a bottom up approach (geo-cellular model to history matching) this new approach starts by attempting to build a reservoir realization from well production history (Top to Bottom), augmented by core, well-log, well-test and seismic data in order to increase accuracy. This approach requires creation of a large spatial-temporal database that is efficiently handled with state of the art Artificial Intelligence and Data Mining techniques (AI & DM), and therefore it represents an elegant integration of reservoir engineering techniques with Artificial Intelligence and Data Mining. Advantages of this new technique are a) ease of development, b) limited data requirement (as compared to reservoir simulation), and c) speed of analysis. All of the 77 wells used in this study are completed in the Lower Huron Shale and are a part of the Big Sandy Gas field in Eastern Kentucky. Most of the wells have production profiles for more than twenty years. Porosity and thickness data was acquired from the available well logs, while permeability, natural fracture network properties, and fracture aperture data was acquired through a single well history matching process that uses the FRACGEN/NFFLOW simulator package. This technology, known as Top-Down Intelligent Reservoir Modeling, starts with performing conventional reservoir engineering analysis on individual wells such as decline curve analysis and volumetric reserves estimation. Statistical techniques along with information generated from the reservoir engineering analysis contribute to an extensive spatio-temporal database of reservoir behavior. The database is used to develop a cohesive model of the field using fuzzy pattern recognition or similar techniques. The reservoir model is calibrated (history matched) with production history from the most recently drilled wells. The calibrated model is then further used for field development strategies to improve and enhance gas recovery.

Grujic, Ognjen; Mohaghegh, Shahab; Bromhal, Grant

2010-07-01T23:59:59.000Z

422

With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy  

E-Print Network (OSTI)

Corruption and the Shadow Economy: An Empirical Analysis,Journal of Political Economy Feld, L. P. , Kirchgssner,G. 2001. The Political Economy of Direct Legislation: Direct

Torgler, Benno; Schneider, Friedrich; Schaltegger, Christoph A.

2007-01-01T23:59:59.000Z

423

Teacher self-efficacy in Cape Town : a bottom up approach to enhancing the quality of education  

E-Print Network (OSTI)

Personal teacher self-efficacy (PTE), or the belief in one's own ability to overcome a particular challenge, often acts as a catalyst for teachers to improve the effectiveness of their teaching. Gaining PTE can translate ...

Kim, YeSeul

2011-01-01T23:59:59.000Z

424

Simulation of Cloud Microphysical and Chemical Processes Using a Multicomponent Framework. Part I: Description of the Microphysical Model  

Science Conference Proceedings (OSTI)

A detailed microphysical and chemical cloud model has been developed to investigate the redistribution of atmospheric trace substances through cloud processes. A multicomponent categorization scheme is used to group cloud particles into different ...

Jen-Ping Chen; Dennis Lamb

1994-09-01T23:59:59.000Z

425

Biogeochemistry of Carbon in the Amazonian Floodplains over a 2000-km Reach: Insights from a Process-Based Model  

Science Conference Proceedings (OSTI)

The influence of Amazonian floodplains on the hydrological, sedimentary, and biogeochemical river budget was investigated over a 2000-km reach. A process-based model relying on the closure of chemical fluxes and isotopic signals was implemented. ...

Vincent Bustillo; Reynaldo Luiz Victoria; Jose Mauro Sousa de Moura; Daniel de Castro Victoria; Andre Marcondes Andrade Toledo; Erich Colicchio

2011-01-01T23:59:59.000Z

426

Diagnosis of the Warm Rain Process in Cloud-Resolving Models Using Joint CloudSat and MODIS Observations  

Science Conference Proceedings (OSTI)

This study examines the warm rain formation process in global and regional cloud-resolving models. Methodologies developed to analyze CloudSat and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observations are employed to ...

Kentaroh Suzuki; Graeme L. Stephens; Susan C. van den Heever; Takashi Y. Nakajima

2011-11-01T23:59:59.000Z

427

Response of the NCAR Climate System Model to Increased CO2 and the Role of Physical Processes  

Science Conference Proceedings (OSTI)

The global warming resulting from increased CO2 is addressed in the context of two regional processes that contribute to climate change in coupled climate models, the El Niolike response (slackening of the equatorial Pacific SST gradient) and ...

Gerald A. Meehl; William D. Collins; Byron A. Boville; Jeffrey T. Kiehl; T. M. L. Wigley; Julie M. Arblaster

2000-06-01T23:59:59.000Z

428

A techno-economic model for determining the critical energy ratio of co-generation in process industries  

Science Conference Proceedings (OSTI)

A techno-economic model incorporating various operating parameters namely, cogeneration technology, primary process, thermodynamic efficiency, capital investment and interest rate has been developed and analysed to arrive at the optimum energy index ...

V. N. Vedamurthy; C. P. Sarathy

1990-12-01T23:59:59.000Z

429

Supply chain management simulation: modelling a continuous process with discrete simulation techniques and its application to LNG supply chains  

Science Conference Proceedings (OSTI)

This paper discusses the problem of modelling an LNG supply chain efficiently. The production, processing, transportation and consumption of LNG (Liquid National Gas) and the associated products are a topic of major interest in the energy industry. While ...

Niels Stchedroff; Russell C. H. Cheng

2003-12-01T23:59:59.000Z

430

ooSEM (poster session): a process model for object-oriented development in an industrial environment  

Science Conference Proceedings (OSTI)

Applying current object-oriented (OO) methods in an industrial environment is by itself not sufficient for a certification according to the norm EN ISO 9001, which requires the application of a comprehensive process model that includes, among other things, ...

Hermann Kaindl; Stefan Huber; mer Karacan; Ilir Kondo; Herwig Schreiner; Helge-Wernhard S

2000-01-01T23:59:59.000Z

431

Response of Upper Clouds in Global Warming Experiments Obtained Using a Global Nonhydrostatic Model with Explicit Cloud Processes  

Science Conference Proceedings (OSTI)

Using a global nonhydrostatic model with explicit cloud processes, upper-cloud changes are investigated by comparing the present climate condition under the perpetual July setting and the global warming condition, in which the sea surface ...

Masaki Satoh; Shin-ichi Iga; Hirofumi Tomita; Yoko Tsushima; Akira T. Noda

2012-03-01T23:59:59.000Z

432

Evaluation of a Conjunctive SurfaceSubsurface Process Model (CSSP) over the Contiguous United States at RegionalLocal Scales  

Science Conference Proceedings (OSTI)

This study presents a comprehensive evaluation on a Conjunctive SurfaceSubsurface Process Model (CSSP) in predicting soil temperaturemoisture distributions, terrestrial hydrology variations, and landatmosphere exchanges against various in situ ...

Xing Yuan; Xin-Zhong Liang

2011-08-01T23:59:59.000Z

433

Electoral surveys influence on the voting processes: a cellular automata model  

E-Print Network (OSTI)

Nowadays, in societies threatened by atomization, selfishness, shortterm thinking, and alienation from political life, there is a renewed debate about classical questions concerning the quality of democratic decisionmaking. In this work a cellular automata (CA) model for the dynamics of free elections based on the social impact theory is proposed. By using computer simulations, power law distributions for the size of electoral clusters and decision time have been obtained. The major role of broadcasted electoral surveys in guiding opinion formation and stabilizing the status quo was demonstrated. Furthermore, it was shown that in societies where these surveys are manipulated within the universally accepted statistical error bars, even a majoritary opposition could be hindered from reaching the power through the electoral path. key word: cellular automata, voting process, power laws, phase transitions 1

S. G. Alves; N. M. Oliveira; Neto M. L. Martins

2008-01-01T23:59:59.000Z

434

Performance and cost models for the direct sulfur recovery process. Task 1 Topical report, Volume 3  

SciTech Connect

The purpose of this project is to develop performance and cost models of the Direct Sulfur Recovery Process (DSRP). The DSRP is an emerging technology for sulfur recovery from advanced power generation technologies such as Integrated Gasification Combined Cycle (IGCC) systems. In IGCC systems, sulfur present in the coal is captured by gas cleanup technologies to avoid creating emissions of sulfur dioxide to the atmosphere. The sulfur that is separated from the coal gas stream must be collected. Leading options for dealing with the sulfur include byproduct recovery as either sulfur or sulfuric acid. Sulfur is a preferred byproduct, because it is easier to handle and therefore does not depend as strongly upon the location of potential customers as is the case for sulfuric acid. This report describes the need for new sulfur recovery technologies.

Frey, H.C. [North Carolina State Univ., Raleigh, NC (United States); Williams, R.B. [Carneigie Mellon Univ., Pittsburgh, PA (United States)

1995-09-01T23:59:59.000Z

435

Extension of the GroIMP modelling platform to allow easy specification of differential equations describing biological processes within plant models  

Science Conference Proceedings (OSTI)

In simulation models of plant development, physiological processes taking place in plants are typically described in terms of ODEs (Ordinary Differential Equations). On the one hand, those processes drive the development of the plant structure and on ... Keywords: Differential equation, Graph grammar, GroIMP, L-system, ODE, XL

Reinhard Hemmerling; Jochem B. Evers; KatarNa Smole?Ov; Gerhard Buck-Sorlin; Winfried Kurth

2013-03-01T23:59:59.000Z

436

Modeling and sensitivity analysis study of the reduction of NO sub x by HNCO. [RAPRENOx process  

SciTech Connect

A chemical mechanism for the reduction of NO{sub x} by HNCO has been constructed to allow for the modeling of NO{sub x} in exhausts typical of natural gas combustion (RAPRENOx process). The reduction was modeled assuming plug flow, and either isothermal combustion or constant pressure adiabatic combustion. Variables were initial concentrations of NO, NO{sub 2}, CO, CH{sub 4}, H{sub 2}, and HNCO as well as initial temperatures. Exhaust residence time was nominally 1 s. Reduction was not achieved for prototypical natural gas exhaust'' for a reasonable residence time. Radical generation is crucial for reduction. H{sub 2} addition enhanced ignition and reduction. The final combustion temperature determines where NO{sub x} reduction ceases and NO{sub x} production increases. Reduction increases with HNCO, and breakthrough of NH{sub 3} and HNCO increses as well. N{sub 2}O production is due to NCO + NO, but the reduction of NO also occurs through reactions associated with the Thermal De-NOx chemistry. NH{sub 3} production and reactions are important to the reduction of NO. Sensitivity analysis under easy ignition conditions indicated that the same reactions involving nitrogen species, NH{sub 2} and NNH, important in De-NOx, are important when HNCO is used to reduce NO{sub x}. A real combustion exhaust would contain radicals, but it would be neither isothermal nor adiabatic, and heat release and loss would accompany the reduction process. Three-body recombination reactions are important and need further study.(DLC)

Brown, N.J.; Garay, J.

1992-05-01T23:59:59.000Z

437

A framework for a feedback process to analyze and personalize a document vector space in a feature extraction model  

Science Conference Proceedings (OSTI)

In this paper, we present a framework for a feedback process to implement a highly accurate document retrieval system. In the system, a document vector space is created dynamically to implement retrieval processing. The retrieval accuracy of the system ... Keywords: Feature extraction, Feedback method, Information retrieval, Semantic search, Vector space model

Kosuke Takano; Xing Chen; Keisuke Masuda

2009-09-01T23:59:59.000Z

438

Adapting and adjusting test process reflecting characteristics of embedded software and industrial properties based on referential models  

Science Conference Proceedings (OSTI)

Test activities are very important for the product quality. Testability Maturity Model (TMM) and Test Process Improvement (TPI) are often applied to improve the test activities. However, in the domain of embedded software, there are many different concerns ... Keywords: TMM, TPI, adapting, embedded, industrial, process, test

Chongwon Lee

2009-11-01T23:59:59.000Z

439

Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions  

Science Conference Proceedings (OSTI)

The scope of this program is to study interacting hydrologic, geotechnical, and chemical factors affecting the behavior and disposal of combusted processed oil shale. The research combines bench-scale testing with large scale research sufficient to describe commercial scale embankment behavior. The large scale approach was accomplished by establishing five lysimeters, each 7.3 {times} 3.0 {times} 3.0 m deep, filled with processed oil shale that has been retorted and combusted by the Lurgi-Ruhrgas (Lurgi) process. Approximately 400 tons of Lurgi processed oil shale waste was provided by RBOSC to carry out this study. Research objectives were designed to evaluate hydrologic, geotechnical, and chemical properties and conditions which would affect the design and performance of large-scale embankments. The objectives of this research are: assess the unsaturated movement and redistribution of water and the development of potential saturated zones and drainage in disposed processed oil shale under natural and simulated climatic conditions; assess the unsaturated movement of solubles and major chemical constituents in disposed processed oil shale under natural and simulated climatic conditions; assess the physical and constitutive properties of the processed oil shale and determine potential changes in these properties caused by disposal and weathering by natural and simulated climatic conditions; assess the use of previously developed computer model(s) to describe the infiltration, unsaturated movement, redistribution, and drainage of water in disposed processed oil shale; evaluate the stability of field scale processed oil shale solid waste embankments using computer models.

Reeves, T.L.; Turner, J.P.; Hasfurther, V.R.; Skinner, Q.D.

1992-06-01T23:59:59.000Z

440

Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions  

Science Conference Proceedings (OSTI)

The scope of this program is to study interacting hydrologic, geotechnical, and chemical factors affecting the behavior and disposal of combusted processed oil shale. The research combines bench-scale testing with large scale research sufficient to describe commercial scale embankment behavior. The large scale approach was accomplished by establishing five lysimeters, each 7.3 [times] 3.0 [times] 3.0 m deep, filled with processed oil shale that has been retorted and combusted by the Lurgi-Ruhrgas (Lurgi) process. Approximately 400 tons of Lurgi processed oil shale waste was provided by RBOSC to carry out this study. Research objectives were designed to evaluate hydrologic, geotechnical, and chemical properties and conditions which would affect the design and performance of large-scale embankments. The objectives of this research are: assess the unsaturated movement and redistribution of water and the development of potential saturated zones and drainage in disposed processed oil shale under natural and simulated climatic conditions; assess the unsaturated movement of solubles and major chemical constituents in disposed processed oil shale under natural and simulated climatic conditions; assess the physical and constitutive properties of the processed oil shale and determine potential changes in these properties caused by disposal and weathering by natural and simulated climatic conditions; assess the use of previously developed computer model(s) to describe the infiltration, unsaturated movement, redistribution, and drainage of water in disposed processed oil shale; evaluate the stability of field scale processed oil shale solid waste embankments using computer models.

Reeves, T.L.; Turner, J.P.; Hasfurther, V.R.; Skinner, Q.D.

1992-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
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441

A Mechanistic Treatment of the Dominant Soil Nitrogen Cycling Processes: Model Development, Testing, and Application  

SciTech Connect

The development and initial application of a mechanistic model (TOUGHREACT-N) designed to characterize soil nitrogen (N) cycling and losses are described. The model couples advective and diffusive nutrient transport, multiple microbial biomass dynamics, and equilibrium and kinetic chemical reactions. TOUGHREACT-N was calibrated and tested against field measurements to assess pathways of N loss as either gas emission or solute leachate following fertilization and irrigation in a Central Valley, California, agricultural field as functions of fertilizer application rate and depth, and irrigation water volume. Our results, relative to the period before plants emerge, show that an increase in fertilizer rate produced a nonlinear response in terms of N losses. An increase of irrigation volume produced NO{sub 2}{sup -} and NO{sub 3}{sup -} leaching, whereas an increase in fertilization depth mainly increased leaching of all N solutes. In addition, nitrifying bacteria largely increased in mass with increasing fertilizer rate. Increases in water application caused nitrifiers and denitrifiers to decrease and increase their mass, respectively, while nitrifiers and denitrifiers reversed their spatial stratification when fertilizer was applied below 15 cm depth. Coupling aqueous advection and diffusion, and gaseous diffusion with biological processes, closely captured actual conditions and, in the system explored here, significantly clarified interpretation of field measurements.

Riley, William; Maggi, F.; Gu, C.; Riley, W.J.; Hornberger, G.M.; Venterea, R.T.; Xu, T.; Spycher, N.; Steefel, C.; Miller, N.L.; Oldenburg, C.M.

2008-05-01T23:59:59.000Z

442

Transient Heat and Material Flow Modeling of Friction Stir Processing of Magnesium Alloy using Threaded Tool  

SciTech Connect

A three-dimensional transient computational fluid dynamics (CFD) model was developed to investigate the material flow and heat transfer during friction stir processing (FSP) in an AZ31B magnesium alloy. The material was assumed to be a non-Newtonian viscoplastic fluid, and the Zener-Hollomon parameter was used to describe the dependence of material viscosity on temperature and strain rate. The material constants used in the constitutive equation were determined experimentally from compression tests of the AZ31B Mg alloy under a wide range of strain rates and temperatures. A dynamic mesh method, combining both Lagrangian and Eulerian formulations, was used to capture the material flow induced by the movement of the threaded tool pin. Massless inert particles were embedded in the simulation domain to track the detailed history of material flow. The actual FSP was also carried out on a wrought Mg plate where temperature profiles were recorded by embedding thermocouples. The predicted transient temperature history was found to be consistent with that measured during FSP. Finally, the influence of the thread on the simulated results of thermal history and material flow was studied by comparing two models: one with threaded pin and the other with smooth pin surface.

Yu, Zhenzhen [ORNL; Zhang, Wei [ORNL; Choo, Hahn [ORNL; Feng, Zhili [ORNL

2012-01-01T23:59:59.000Z

443

Modeling the fast fill process in natural gas vehicle storage cylinders  

DOE Green Energy (OSTI)

The on-board storage capacity of natural gas vehicles (NGVs) is a critical issue to the wide spread marketing of these alternate fueled vehicles. Underfilling of NGV cylinders, during fast fill (< 5 min.) charging operations, can occur at fueling stations, at ambient temperatures greater than 50{degrees}F or 60{degrees}F. The resulting reduced driving range of the vehicle is a serious obstacle which the gas industry is striving to overcome, without resorting to unnecessarily high fueling station pressures, or by applying extensive overpressurization of the cylinder during the fueling operation. Undercharged storage cylinders are a result of the elevated temperature which occurs in the NGV storage cylinder, due to compression and other processes which have not, to the author`s knowledge, been analyzed and documented to date. This paper presents a model and solution methodology which quantifies the cylinder undercharging phenomena which occurs during rapid (< 5 min.) fueling. The effects of heat transfer from the cylinder gas to its constraining walls and ambient are considered in the model analysis. The ramifications of the results on fueling station and cylinder designs are discussed. Suggestions are made for controlled experimental programs to verify the theoretical results, and for fueling station design studies which could minimize or eliminate cylinder underfilling.

Kountz, K.J.

1994-09-01T23:59:59.000Z

444

www.inescc.pt 1 Short Term Load Forecasting Using Gaussian Process Models  

E-Print Network (OSTI)

Abstract The electrical deregulated market increases the need for short-term load forecast algorithms in order to assist electrical utilities in activities such as planning, operating and controlling electric energy systems. Methodologies based on regression methods have been widely used with satisfactory results. However, this type of approach has some shortcomings. This paper proposes a short-term load forecast methodology applied to distribution systems, based on Gaussian Process models. This methodology establishes an interesting and valuable approach to short-term forecasting applied to the electrical sector. The results obtained are in accordance with the best values of expected errors for these types of methodologies. A careful study of the input variables (regressors) was made, from the point of view of contiguous values, in order to include the strictly necessary instances of endogenous variables. Regressors representing the trend of consumption, at homologous time intervals in the past, were also included in the input vector. The proposed approach was tested on real-load from three medium-sized supply electrical distribution substations located in the center of Portugal. To test the performance of the model in different load situations, the case study includes three different electrical distribution substations representative of typical load consuming patterns,

Inesc Coimbra; Joo Loureno; Paulo Santos; Loureno J. M; Santos P. J

2010-01-01T23:59:59.000Z

445

Report of Separate Effects Testing for Modeling of Metallic Fuel Casting Process  

Science Conference Proceedings (OSTI)

In order to give guidance regarding the best investment of time and effort in experimental determination of parameters defining the casting process, a Flow-3D model of the casting process was used to investigate the most influential parameters regarding void fraction of the solidified rods and solidification speed for fluid flow parameters, liquid heat transfer parameters, and solid heat transfer parameters. Table 1 summarizes the most significant variables for each of the situations studied. A primary, secondary, and tertiary effect is provided for fluid flow parameters (impacts void fraction) and liquid heat transfer parameters (impacts solidification). In Table 1, the wetting angle represents the angle between the liquid and mold surface as pictured in Figure 1. The viscosity is the dynamic viscosity of the liquid and the surface tension is the property of the surface of a liquid that allows it to resist an external force. When only considering solid heat transfer properties, the variations from case to case were very small. Details on this conclusion are provided in the section considering solid heat transfer properties. The primary recommendation of the study is to measure the fluid flow parameters, specifically the wetting angle, surface tension, and dynamic viscosity, in order of importance, as well as the heat transfer parameters latent heat and specific heat of the liquid alloy. The wetting angle and surface tension can be measured simultaneously using the sessile drop method. It is unclear whether there is a temperature dependency in these properties. Thus measurements for all three parameters are requested at 1340, 1420, and 1500 degrees Celsius, which correspond to the minimum, middle, and maximum temperatures of the liquid alloy during the process. In addition, the heat transfer coefficient between the mold and liquid metal, the latent heat of transformation, and the specific heat of the liquid metal all have strong influences on solidification. These parameters should be measured to achieve better simulation fidelity. Information on all the mentioned parameters is virtually nonexistent. Presently, all the parameters within the casting model are estimates based on pure U, or another alloy such as U-Ni.

Crapps, Justin M. [Los Alamos National Laboratory; Galloway, Jack D. [Los Alamos National Laboratory; Decroix, David S. [Los Alamos National Laboratory; Korzekwa, David A. [Los Alamos National Laboratory; Aikin, Robert M. Jr. [Los Alamos National Laboratory; Unal, Cetin [Los Alamos National Laboratory; Fielding, R. [Idaho National Laboratory; Kennedy, R [Idaho National Laboratory

2012-06-29T23:59:59.000Z

446

Enhanced Geothermal Systems Research and Development: Models of Subsurface Chemical Processes Affecting Fluid Flow  

DOE Green Energy (OSTI)

With funding from past grants from the DOE geothermal program and other agencies, we successfully developed advanced equation of state (EOS) and simulation technologies that accurately describe the chemistry of geothermal reservoirs and energy production processes via their free energies for wide XTP ranges. Using the specific interaction equations of Pitzer, we showed that our TEQUIL chemical models can correctly simulate behavior (e.g., mineral scaling and saturation ratios, gas break out, brine mixing effects, down hole temperatures and fluid chemical composition, spent brine incompatibilities) within the compositional range (Na-K-Ca-Cl-SO4-CO3-H2O-SiO2-CO2(g)) and temperature range (T < 350C) associated with many current geothermal energy production sites that produce brines with temperatures below the critical point of water. The goal of research carried out under DOE grant DE-FG36-04GO14300 (10/1/2004-12/31/2007) was to expand the compositional range of our Pitzer-based TEQUIL fluid/rock interaction models to include the important aluminum and silica interactions (T < 350C). Aluminum is the third most abundant element in the earths crust; and, as a constituent of aluminosilicate minerals, it is found in two thirds of the minerals in the earths crust. The ability to accurately characterize effects of temperature, fluid mixing and interactions between major rock-forming minerals and hydrothermal and/or injected fluids is critical to predict important chemical behaviors affecting fluid flow, such as mineral precipitation/dissolution reactions. We successfully achieved the project goal and objectives by demonstrating the ability of our modeling technology to correctly predict the complex pH dependent solution chemistry of the Al3+ cation and its hydrolysis species: Al(OH)2+, Al(OH)2+, Al(OH)30, and Al(OH)4- as well as the solubility of common aluminum hydroxide and aluminosilicate minerals in aqueous brines containing components (Na, K, Cl) commonly dominating hydrothermal fluids. In the sodium chloride system, where experimental data for model parameterization are most plentiful, the model extends to 300C. Determining the stability fields of aluminum species that control the solubility of aluminum-containing minerals as a function of temperature and composition has been a major objective of research in hydrothermal chemistry.

Moller, Nancy; Weare J. H.

2008-05-29T23:59:59.000Z

447

A high-resolution 2-DH numerical scheme for process-based modeling of 3-D turbidite fan stratigraphy  

Science Conference Proceedings (OSTI)

A generic three-dimensional process-based model is presented, aimed at simulation of the construction of turbidite fan stratigraphy by low-density turbidity current events. It combines theoretical formulations on density flow and sediment transport of ... Keywords: MacCormack scheme, Operator splitting, Shock-capturing technique, Stratigraphic modeling, Turbidite reservoirs, Turbidity currents

Remco M. Groenenberg; Kees Sloff; Gert Jan Weltje

2009-08-01T23:59:59.000Z

448

Measurement and modeling of advanced coal conversion processes, Volume I, Part 2. Final report, September 1986--September 1993  

Science Conference Proceedings (OSTI)

This report describes work pertaining to the development of models for coal gasification and combustion processes. This volume, volume 1, part 2, contains research progress in the areas of large particle oxidation at high temperatures, large particle, thick-bed submodels, sulfur oxide/nitrogen oxides submodels, and comprehensive model development and evaluation.

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

1995-09-01T23:59:59.000Z

449

Model of the Regional Coupled Earth system (MORCE): Application to process and climate studies in vulnerable regions  

Science Conference Proceedings (OSTI)

The vulnerability of human populations and natural systems and their ability to adapt to extreme events and climate change vary with geographic regions and populations. Regional climate models (RCM), composed by an atmospheric component coupled to a ... Keywords: CORDEX, ChArMeX, Climate modeling, HyMeX, Impact studies, MORCE platform, MerMeX, Mesoscale process, Regional Earth system

Philippe Drobinski; Alesandro Anav; Cindy Lebeaupin Brossier; Guillaume Samson; Marc Stfanon; Sophie Bastin; Mlika Baklouti; Karine Branger; Jonathan Beuvier; Romain Bourdall-Badie; Laure Coquart; Fabio D'Andrea; Nathalie de Noblet-Ducoudr; Frdric Diaz; Jean-Claude Dutay; Christian Ethe; Marie-Alice Foujols; Dmitry Khvorostyanov; Gurvan Madec; Martial Mancip; Sbastien Masson; Laurent Menut; Julien Palmieri; Jan Polcher; Solne Turquety; Sophie Valcke; Nicolas Viovy

2012-07-01T23:59:59.000Z

450

Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual  

Science Conference Proceedings (OSTI)

This final report completes the Los Alamos Waste Management Cost Estimation Project, and includes the documentation of the waste management processes at Los Alamos National Laboratory (LANL) for hazardous, mixed, low-level radioactive solid and transuranic waste, development of the cost estimation model and a user reference manual. The ultimate goal of this effort was to develop an estimate of the life cycle costs for the aforementioned waste types. The Cost Estimation Model is a tool that can be used to calculate the costs of waste management at LANL for the aforementioned waste types, under several different scenarios. Each waste category at LANL is managed in a separate fashion, according to Department of Energy requirements and state and federal regulations. The cost of the waste management process for each waste category has not previously been well documented. In particular, the costs associated with the handling, treatment and storage of the waste have not been well understood. It is anticipated that greater knowledge of these costs will encourage waste generators at the Laboratory to apply waste minimization techniques to current operations. Expected benefits of waste minimization are a reduction in waste volume, decrease in liability and lower waste management costs.

Matysiak, L.M.; Burns, M.L.

1994-03-01T23:59:59.000Z

451

Assisted thermal stripping (ATS) for removal of PCBs from contaminated soils. Design of experiments modeling of the ATS process  

Science Conference Proceedings (OSTI)

In a companion report, the Assisted Thermal Stripping (ATS) process for enhanced removal of PCBs from PCB-contaminated soil is described. In studies directed toward achieving residual PCB levels of {le}2 ppm, it was found that four factors were particularly important -- (1) process temperature; (2) process time; (3) the amount of additive (for enhancing the removal of PCBs); and (4) steam flow rate. In order to optimize the ATS process, it was deemed crucial to ascertain the relative effect exerted by each of those process factors and the reproducibility of the process. To accomplish that, we have relied on the technique {open_quotes}Design of Experiments{close_quotes} (DOE) to mathematically model the ATS process. After considering the findings from our previous investigations, it was decided to employ formic acid as the additive for enhancing the removal of PCBs.

Krabbenhoft, H.O.; Webb, J.L.; Gascoyne, D.G. [GE Corporate Research & Development, Schenectady, NY (United States); Cawse, J.N. [GE Plastics, Pittsfield, MA (United States)

1996-12-31T23:59:59.000Z

452

Development and Application of Advanced Models for Steam Hydrogasification: Process Design and Economic Evaluation  

E-Print Network (OSTI)

feasibility analysis of RTI Warm Gas Cleanup (WGCU)Triangle Institute (RTI) warm gas cleanup technology isand process simulation. The RTI process is in the leading

Lu, Xiaoming

2012-01-01T23:59:59.000Z

453

Off-Highway Gasoline Consuption Estimation Models Used in the Federal Highway Administration Attribution Process: 2008 Updates  

SciTech Connect

This report is designed to document the analysis process and estimation models currently used by the Federal Highway Administration (FHWA) to estimate the off-highway gasoline consumption and public sector fuel consumption. An overview of the entire FHWA attribution process is provided along with specifics related to the latest update (2008) on the Off-Highway Gasoline Use Model and the Public Use of Gasoline Model. The Off-Highway Gasoline Use Model is made up of five individual modules, one for each of the off-highway categories: agricultural, industrial and commercial, construction, aviation, and marine. This 2008 update of the off-highway models was the second major update (the first model update was conducted during 2002-2003) after they were originally developed in mid-1990. The agricultural model methodology, specifically, underwent a significant revision because of changes in data availability since 2003. Some revision to the model was necessary due to removal of certain data elements used in the original estimation method. The revised agricultural model also made use of some newly available information, published by the data source agency in recent years. The other model methodologies were not drastically changed, though many data elements were updated to improve the accuracy of these models. Note that components in the Public Use of Gasoline Model were not updated in 2008. A major challenge in updating estimation methods applied by the public-use model is that they would have to rely on significant new data collection efforts. In addition, due to resource limitation, several components of the models (both off-highway and public-us models) that utilized regression modeling approaches were not recalibrated under the 2008 study. An investigation of the Environmental Protection Agency's NONROAD2005 model was also carried out under the 2008 model update. Results generated from the NONROAD2005 model were analyzed, examined, and compared, to the extent that is possible on the overall totals, to the current FHWA estimates. Because NONROAD2005 model was designed for emission estimation purposes (i.e., not for measuring fuel consumption), it covers different equipment populations from those the FHWA models were based on. Thus, a direct comparison generally was not possible in most sectors. As a result, NONROAD2005 data were not used in the 2008 update of the FHWA off-highway models. The quality of fuel use estimates directly affect the data quality in many tables published in the Highway Statistics. Although updates have been made to the Off-Highway Gasoline Use Model and the Public Use Gasoline Model, some challenges remain due to aging model equations and discontinuation of data sources.

Hwang, Ho-Ling [ORNL; Davis, Stacy Cagle [ORNL

2009-12-01T23:59:59.000Z

454

FRP model (Version 1.0) for estimating styrene emissions from fiber-reinforced plastics fabrication processes (on diskette). Model-simulation  

Science Conference Proceedings (OSTI)

This software estimates styrene emissions from the manufacture of fiber-reinforced plastics/composite (FRP/C) products. In using the model, the user first chooses the appropriate process: gel coating, resin sprayup, hand layup, etc. Choosing a process will cause the baseline input values for that process to be displayed. Then the new values that apply to the user`s plant are entered. After all the parameters appropriate to the fabrication process have been added, the values for Overall modification factor and Calculated emission (percent AS) will be displayed. Results can be printed or saved.

NONE

1998-05-01T23:59:59.000Z

455

SM CMM Model to Evaluate and Improve the Quality of Software Maintenance Process: Overview of the model  

E-Print Network (OSTI)

technology transfer to the industry at large. The inadequate share of management attention that The software maintenance function suffers from a scarcity of management models that would facilitate its evaluation, management and continuous improvement. This paper presents a revised version of a maintenance-specific evaluation model: Software Maintenance Capability Maturity Model (SM CMM). This model adopts a similar structure and should be used as a complement to the CMMi 1 (Capability

Alain April; Alain Abran; Reiner R. Dumke; Carnegie Mellon

2004-01-01T23:59:59.000Z

456

A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics  

E-Print Network (OSTI)

Haven CT: Yale U. P. Thermodynamic model of brain dynamicsNeurophysiol. 117(3), Thermodynamic model of brain dynamicsA far-from-equilibrium thermodynamic model of the action-

Freeman, Walter J III

2008-01-01T23:59:59.000Z

457

Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Savannah River Site Liquid Waste Process Savannah River Site Liquid Waste Process June 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM Sahid C. Smith Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process June 2009 ACKNOWLEDGEMENTS The Review Team thanks Ms. Sonitza Blanco, Team Lead Planning and Coordination Waste Disposition Project U.S. Department of Energy Savannah River Operations Office and Mr. Pete Hill, Liquid Waste Planning Manager for Washington Savannah River Company, for their

458

Analytic Loss Distributional Approach Model for Operational Risk from the alpha-Stable Doubly Stochastic Compound Processes and Implications for Capital Allocation  

E-Print Network (OSTI)

Under the Basel II standards, the Operational Risk (OpRisk) advanced measurement approach is not prescriptive regarding the class of statistical model utilised to undertake capital estimation. It has however become well accepted to utlise a Loss Distributional Approach (LDA) paradigm to model the individual OpRisk loss process corresponding to the Basel II Business line/event type. In this paper we derive a novel class of doubly stochastic alpha-stable family LDA models. These models provide the ability to capture the heavy tailed loss process typical of OpRisk whilst also providing analytic expressions for the compound process annual loss density and distributions as well as the aggregated compound process annual loss models. In particular we develop models of the annual loss process in two scenarios. The first scenario considers the loss process with a stochastic intensity parameter, resulting in an inhomogeneous compound Poisson processes annually. The resulting arrival process of losses under such a model...

Peters, Gareth W; Young, Mark; Yip, Wendy

2011-01-01T23:59:59.000Z

459

MPS Model and TABA Workstation: Implementing Software Process Improvement Initiatives in Small Settings  

Science Conference Proceedings (OSTI)

Small and Medium-size Enterprises (SME) are usually hindered from improving their processes due to the complexity and costs involved in Software Process Improvement (SPI). In this context, Brazilian software industries and research universities are working ...

Mariano Montoni; Gleison Santos; Ana Regina Rocha; Kival C. Weber; Eratostenes E. R. de Araujo

2007-05-01T23:59:59.000Z

460

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

E-Print Network (OSTI)

Purpose Graphics Processing Unit Hong Li Department ofof graphics processing units is well-suited to this task. Wehow a Graphics Pro- cessor Unit (GPU) can be used to very

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

2009-01-01T23:59:59.000Z

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461

Alarm processing with model-based diagnosis of event discrete systems  

Science Conference Proceedings (OSTI)

Reliable and informative alarm processing is important for improving the situational awareness of operators of electricity networks and other complex systems. Earlier approaches to alarm processing have been predominantly syntactic, based on text-level ...

Andreas Bauer; Adi Botea; Alban Grastien; Patrik Haslum; Jussi Rintanen

2011-07-01T23:59:59.000Z

462

An integrated coastal modeling system for analyzing beach processes and beach restoration projects, SMC  

Science Conference Proceedings (OSTI)

A user-friendly system called coastal modeling system (SMC) has been developed by the Spanish Ministry of Environment and the University of Cantabria. The system includes several numerical models specifically developed for the application of the methodology ... Keywords: Beach nourishment, Beach project design, Coastal modeling, Coastal numerical model, Littoral GUI

M. Gonzlez; R. Medina; J. Gonzalez-Ondina; A. Osorio; F. J. Mndez; E. Garca

2007-07-01T23:59:59.000Z

463

A conceptual model of the cognitive processing of environmental distance information  

Science Conference Proceedings (OSTI)

I review theories and research on the cognitive processing of environmental distance information by humans, particularly that acquired via direct experience in the environment. The cognitive processes I consider for acquiring and thinking about environmental ... Keywords: cognitive processing, distance information, spatial cognition

Daniel R. Montello

2009-09-01T23:59:59.000Z

464

Modeling Cu Migration in CdTe Solar Cells Under Device-Processing and Long-Term Stability Conditions (Poster)  

DOE Green Energy (OSTI)

An impurity migration model for systems with material interfaces is applied to Cu migration in CdTe solar cells. In the model, diffusion fluxes are calculated from the Cu chemical potential gradient. Inputs to the model include Cu diffusivities, solubilities, and segregation enthalpies in CdTe, CdS and contact materials. The model yields transient and equilibrium Cu distributions in CdTe devices during device processing and under field-deployed conditions. Preliminary results for Cu migration in CdTe PV devices using available diffusivity and solubility data from the literature show that Cu segregates in the CdS, a phenomenon that is commonly observed in devices after back-contact processing and/or stress conditions.

Teeter, G.; Asher, S.

2008-05-01T23:59:59.000Z

465

Modeling Cu Migration in CdTe Solar Cells Under Device-Processing and Long-Term Stability Conditions: Preprint  

DOE Green Energy (OSTI)

An impurity migration model for systems with material interfaces is applied to Cu migration in CdTe solar cells. In the model, diffusion fluxes are calculated from the Cu chemical potential gradient. Inputs to the model include Cu diffusivities, solubilities, and segregation enthalpies in CdTe, CdS and contact materials. The model yields transient and equilibrium Cu distributions in CdTe devices during device processing and under field-deployed conditions. Preliminary results for Cu migration in CdTe photovoltaic devices using available diffusivity and solubility data from the literature show that Cu segregates in the CdS, a phenomenon that is commonly observed in devices after back-contact processing and/or stress conditions.

Teeter, G.; Asher, S.

2008-05-01T23:59:59.000Z

466

Process Design of Wastewater Treatment for the NREL Cellulosic Ethanol Model  

SciTech Connect

This report describes a preliminary process design for treating the wastewater from NREL's cellulosic ethanol production process to quality levels required for recycle. In this report Brown and Caldwell report on three main tasks: 1) characterization of the effluent from NREL's ammonia-conditioned hydrolyzate fermentation process; 2) development of the wastewater treatment process design; and 3) development of a capital and operational cost estimate for the treatment concept option. This wastewater treatment design was incorporated into NREL's cellulosic ethanol process design update published in May 2011 (NREL/TP-5100-47764).

Steinwinder, T.; Gill, E.; Gerhardt, M.

2011-09-01T23:59:59.000Z

467

Processing and Process Modeling II  

Science Conference Proceedings (OSTI)

Mar 12, 2012 ... Selective electron beam melting (EBM) is an additive manufacturing ... Ambient temperature tensile and fracture tests were conducted on...

468

Processing and Process Modeling I  

Science Conference Proceedings (OSTI)

Mar 12, 2012... utilization of material (80 %) in comparison to deep-hole drilling (40 %). ... The electric power expense while heat treatment (?+?)-alloy VT43...

469

External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hanford Site Liquid Waste Process Hanford Site Liquid Waste Process September 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process September 2009 Acknowledgements The Review Team thanks Mr. Glyn Trenchard, Team Lead for Planning and Coordination Waste Disposition Project, U.S. Department of Energy--Office of River Protection, Mr. Paul Rutland, RPP System Planning Manager for Washington River Protection Solutions, and Mr. Ernie Lee,

470

Convergence of clock processes on infinite graphs and aging in Bouchaud's asymmetric trap model on $\\Z^d$  

E-Print Network (OSTI)

Using a method developed by Durrett and Resnick, [23], we establish general criteria for the convergence of properly rescaled clock processes of random dynamics in random environments on infinite graphs. This extends the results of Gayrard, [27], Bovier and Gayrard, [20], and Bovier, Gayrard, and Svejda, [21], and gives a unified framework for proving convergence of clock processes. As a first application we prove that Bouchaud's asymmetric trap model on $Z^d$ exhibits a normal aging behavior for all $d \\geq 2$. Namely, we show that certain two-time correlation functions, among which the classical probability to find the process at the same site at two time points, converge, as the age of the process diverges, to the distribution function of the arcsine law. As a byproduct we prove that the fractional kinetics process ages.

Vronique Gayrard; Adela Svejda

2013-09-12T23:59:59.000Z

471

Modeling Unsaturated Flow and Transport Processes in Fractured Tuffs of Yucca Mountain  

E-Print Network (OSTI)

zone site-scale model, Yucca Mountain Site Characterizationsite-scale model, Yucca Mountain Project Milestone 3GLM105M,unsaturated zone, Yucca Mountain, Nevada. Water-Resources

Wu, Yu-Shu; Lu, Guoping; Zhang, Keni; Bodvarsson, G.S.

2003-01-01T23:59:59.000Z

472

A Water Vapor-Energy Balance Model Designed for Sensitivity Testing of Climatic Feedback Processes  

Science Conference Proceedings (OSTI)

A zonal mean water vapor-energy balance (WEB) model is formulated to assess feedback interactions of the hydrologic cycle and lapse rate with the radiative fluxes, snow-dependent albedo and transport mechanisms. The WEB model is designed for ...

Robert G. Gallimore

1983-01-01T23:59:59.000Z

473

Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability  

Science Conference Proceedings (OSTI)

Predictive models are constructed to best describe an observed fields statistics within a given class of nonlinear dynamics driven by a spatially coherent noise that is white in time. For linear dynamics, such inverse stochastic models are ...

S. Kravtsov; D. Kondrashov; M. Ghil

2005-11-01T23:59:59.000Z

474

Constraints on Model Response to Greenhouse Gas Forcing and the Role of Subgrid-Scale Processes  

Science Conference Proceedings (OSTI)

A climate model emulator is developed using neural network techniques and trained with the data from the multithousand-member climateprediction.net perturbed physics GCM ensemble. The method recreates nonlinear interactions between model ...

Benjamin M. Sanderson; R. Knutti; T. Aina; C. Christensen; N. Faull; D. J. Frame; W. J. Ingram; C. Piani; D. A. Stainforth; D. A. Stone; M. R. Allen

2008-06-01T23:59:59.000Z

475

Aerosol Properties and Processes: A Path from Field and Laboratory Measurements to Global Climate Models  

Science Conference Proceedings (OSTI)

Aerosol particles in the lower atmosphere exert a substantial influence on climate and climate change through a variety of complex mechanisms. Consequently, there is a need to represent these influences in global climate models, and models have ...

Steven J. Ghan; Stephen E. Schwartz

2007-07-01T23:59:59.000Z

476

Separate effects identification via casting process modeling for experimental measurement of UPuZr alloys  

SciTech Connect

Computational simulations of gravity casting processes for metallic UPuZr nuclear fuel rods have been performed using a design-of-experiments technique to determine the fluid flow, liquid heat transfer, and solid heat transfer parameters which most strongly influence the process solidification speed and fuel rod porosity. The results are used to make recommendations for the best investment of experimental time and effort to measure process parameters.

J. Crapps; D. S. DeCroix; J. D. Galloway; D. A. Korzekwa; R. Aikin; R. Fielding; R. Kennedy; C. Unal

2013-11-01T23:59:59.000Z

477

A comparative study of non linear MISO process modelling techniques: application to a chemical reactor  

Science Conference Proceedings (OSTI)

This paper proposes the design and a comparative study of two non linear Multiple Input Single Output (MISO) models. The first, titled Volterra model, is built using Volterra series and the second, named RKHS model, uses the Statistical Learning Theory ... Keywords: RKHS, Volterra, chemical reactor, statistical learning theory

Okba Taouali; Nabiha Saidi; Hassani Messaoud

2009-05-01T23:59:59.000Z

478

How can PD process modelling be made more useful? An exploration of factors which influence modelling utility  

E-Print Network (OSTI)

of Cybernetics, in Communication and Control, K. Krippendorff (ed.),1979. Wartofsky, M.W., Models: Representation and Scientific Understanding, Macmillan, 1979. Dr. David C. Wynn Senior Research Associate, University of Cambridge. Email: dcw24@cam.ac.uk ...

Wynn, David C; Maier, Anja M; Clarkson, P John

479

On the Scarf-Hirota model in the price-scaled price adjustment process  

E-Print Network (OSTI)

Hirota's results given in (Hirota.M.,1981) on the asymptotically stability are generalized to the price-scaled price adjustment process.

Yamamoto, Tatsuro; Togawa, Yoshio; Ohya, Masanori

2008-01-01T23:59:59.000Z