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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.


1

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

E-Print Network [OSTI]

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

Ochsner, Kevin N.

2

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.

3

Bottoms Up  

E-Print Network [OSTI]

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

Hacker, Randi; Boyd, David

2011-03-30T23:59:59.000Z

4

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

E-Print Network [OSTI]

Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models marginal cost, as well as a smaller contribution from energy efficiency relative to other abatement of energy efficiency potential and green- house gas (GHG) abatement potential that have been highly

5

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

E-Print Network [OSTI]

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

Kumar, Ratnesh

6

Detonation: From the Bottom Up  

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

Latest Issue:December 2014 All Issues submit Detonation: From the Bottom Up In the nuclear testing era, scientists never thoroughly characterized the properties of the...

7

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

E-Print Network [OSTI]

developers also market ‘fuzzy logic’ control systems, e.g. ,so- called 'fuzzy logic' or expert control, or rule-basedsystems or fuzzy logic is model-predictive control using

Sathaye, J.

2011-01-01T23:59:59.000Z

8

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

SciTech Connect (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

9

A Bottom-Up Approach to SUSY Analyses  

SciTech Connect (OSTI)

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

10

A Bottom-Up Approach to SUSY Analyses  

E-Print Network [OSTI]

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.

Claus Horn

2009-06-02T23:59:59.000Z

11

Bottom-up graphene nanoribbon field-effect transistors  

SciTech Connect (OSTI)

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

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

2013-12-16T23:59:59.000Z

12

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

E-Print Network [OSTI]

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

Sorin, Daniel J.

13

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

E-Print Network [OSTI]

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

Dwyer, Chris

14

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

SciTech Connect (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

15

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

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

16

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

E-Print Network [OSTI]

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

Adam Alloul

2014-04-17T23:59:59.000Z

17

Nanowires As Building Blocks for Bottom-Up Nanotechnology  

E-Print Network [OSTI]

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

Wang, Zhong L.

18

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

E-Print Network [OSTI]

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

19

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

20

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

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

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

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

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

E-Print Network [OSTI]

Two Paths to Transforming Markets through Public Sector Energy Efficiency: Bottom Up versus Top agencies, reduced demand on capacity-constrained electric utility systems, increased energy system sector's buying power and visible leadership offer a powerful, non-regulatory means to stimulate market

22

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

E-Print Network [OSTI]

: APPLICATION TO THE ARLIT URANIUM MINES (NIGER) A. Chamareta)b) , M. O'Connor a) and G. Récoché b) a, undertaken at the Arlit uranium mines in Niger. Our objective was to define indicators that are understood1 TOP-DOWN/BOTTOM-UP APPROACH FOR DEVELOPING SUSTAINABLE DEVELOPMENT INDICATORS FOR MINING

Paris-Sud XI, Université de

23

Programmable Self-Assembly Control of Concurrent Systems From the Bottom Up  

E-Print Network [OSTI]

Programmable Self-Assembly Control of Concurrent Systems From the Bottom Up Eric Klavins Self-assembly. Self-assembly is ubiquitous in nature. For example, virus capsids, cell membranes, and tissues are all self-assembled from smaller com- ponents in a completely distributed fashion. Self-assembly

24

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

E-Print Network [OSTI]

, distributed power production at lower voltage levels (through wind turbines or solar panels) is considered, as this depends on external environmental conditions (e.g. solar and wind power). In Electrical EngineeringBottom-Up Self-Organization of Unpredictable Demand and Supply under Decentralized Power Management

Wedde, Horst F.

25

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

SciTech Connect (OSTI)

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

26

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

E-Print Network [OSTI]

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

Watson, Andrew

27

A bottom up approach to on-road CO2 emissions estimates: improved spatial accuracy and applications for regional  

E-Print Network [OSTI]

A bottom up approach to on-road CO2 emissions estimates: improved spatial accuracy and applications Environment Environmental Science & Technology #12;1 A bottom up approach to on-road CO2 emissions estimates-road transportation is responsible for 28% of all U.S. fossil-fuel CO2 emissions. Mapping vehicle emissions

Wing, Ian Sue

28

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

SciTech Connect (OSTI)

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

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

2014-04-07T23:59:59.000Z

29

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

E-Print Network [OSTI]

Superconducting circuits are exceptionally flexible, enabling many different devices from sensors to quantum computers. Separately, epitaxial semiconductor devices such as spin qubits in silicon offer more limited device variation but extraordinary quantum properties for a solid-state system. It might be possible to merge the two approaches, making single-crystal superconducting devices out of a semiconductor by utilizing the latest atomistic fabrication techniques. Here 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, superconducting quantum interference devices (SQUIDs), and qubits are feasible. This work motivates the pursuit of "bottom-up" superconductivity for improved or fundamentally different technology and physics.

Yun-Pil Shim; Charles Tahan

2014-07-02T23:59:59.000Z

30

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

E-Print Network [OSTI]

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

Bracken, MES; Stachowicz, J J

2007-01-01T23:59:59.000Z

31

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

E-Print Network [OSTI]

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

Bracken, MES; Stachowicz, J J

2007-01-01T23:59:59.000Z

32

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

SciTech Connect (OSTI)

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

33

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

E-Print Network [OSTI]

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

Edwards, Matthew

34

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

E-Print Network [OSTI]

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

Spagnolo, Filippo

35

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

SciTech Connect (OSTI)

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

36

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

E-Print Network [OSTI]

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

37

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

SciTech Connect (OSTI)

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

38

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

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

39

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

E-Print Network [OSTI]

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

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

2014-09-16T23:59:59.000Z

40

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

E-Print Network [OSTI]

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

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]

the NEMA Premium Efficiency Electric Motor specification wasElectric Apparatus Service Association (EASA) (2003). The Effect of Repair/Rewinding on Motor Efficiency.

Sathaye, J.

2011-01-01T23:59:59.000Z

42

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

E-Print Network [OSTI]

Qin, H. , , 2007. China Wind Power Report. Beijing: Chinachina/ en/press/reports/wind-power-report.pdf NBS (NationalAIS scenarios CIS AIS Wind power Nuclear power Natural gas

Zhou, Nan

2014-01-01T23:59:59.000Z

43

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

E-Print Network [OSTI]

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

Sathaye, J.

2011-01-01T23:59:59.000Z

44

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

E-Print Network [OSTI]

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

Zhou, Nan

2014-01-01T23:59:59.000Z

45

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

E-Print Network [OSTI]

Advanced Concepts of Waste Heat Recovery in Cement Plants”building controls, waste heat recovery or adjustable speedquantities of low grade waste heat from the kilns or clinker

Sathaye, J.

2011-01-01T23:59:59.000Z

46

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

47

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

E-Print Network [OSTI]

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

Sathaye, J.

2011-01-01T23:59:59.000Z

48

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...

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

49

Process Modeling for Process Improvement A Process Conformance Approach  

E-Print Network [OSTI]

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

50

Modeling and Validation of Pipeline Specifications  

E-Print Network [OSTI]

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

Mishra, Prabhat

51

Modeling Quality Information within Business Process Models  

E-Print Network [OSTI]

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

Paech, Barbara

52

Biosphere Process Model Report  

SciTech Connect (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

53

Foam process models.  

SciTech Connect (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

54

Bottom-Up Strategic Planning  

E-Print Network [OSTI]

Libraries Experience Jeff Williams Tammy Nickelson DearieSmith, Jennifer Tran, Mary Wickline, and Jeff Williams.Jeff Williams (jeffrey.williams@nyumc.org) is Associate

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

2013-01-01T23:59:59.000Z

55

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

E-Print Network [OSTI]

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

Mishra, Prabhat

56

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

SciTech Connect (OSTI)

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

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

2009-07-15T23:59:59.000Z

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]

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

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]

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

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]

Energy Efficiency Improvements in Electric Motors andEnergy Efficiency Improvements in Electric Motors and

Xu, T.T.

2011-01-01T23:59:59.000Z

60

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

E-Print Network [OSTI]

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

Xu, T.T.

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.


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]

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

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]

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

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]

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

Xu, T.T.

2011-01-01T23:59:59.000Z

64

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

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

65

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

E-Print Network [OSTI]

Best Practices in the Netherlands: Top Ten Energy Saving Opportunities. Proceedings COST Strategic Workshop “Improving Energy Efficiency

Xu, Tengfang

2014-01-01T23:59:59.000Z

66

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

E-Print Network [OSTI]

on the adoption of alternative fuel vehicles: The case of07: 2007. 21. CEC State Alternative Fuel Plan. CEC-600-2007-972. (28) CEC. State Alternative Fuel Plan; CEC-600-2007-

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

2008-01-01T23:59:59.000Z

67

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

E-Print Network [OSTI]

building controls, waste heat recovery or adjustable speedoptimizing ventilation) Waste heat recovery Condebelt dryingand optimizing  ventilation) Waste heat recovery Condebelt 

Xu, Tengfang

2014-01-01T23:59:59.000Z

68

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

E-Print Network [OSTI]

building controls, waste heat recovery or adjustable speeddrives in the rolling mill Waste heat recovery from coolingdrives in the rolling mill Waste heat recovery from cooling

Xu, T.T.

2011-01-01T23:59:59.000Z

69

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

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

70

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

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

71

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

E-Print Network [OSTI]

2001. The Energy Technology Systems Analysis Programme (and Institute of Paper Science and Technology (IPST) atGeorgia Institute of Technology, Atlanta. Kramer, K. J. ,

Xu, Tengfang

2014-01-01T23:59:59.000Z

72

Radiolysis Process Model  

SciTech Connect (OSTI)

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

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

2012-07-17T23:59:59.000Z

73

Computational modeling of materials processing and processes  

SciTech Connect (OSTI)

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

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

1998-12-31T23:59:59.000Z

74

Kinetic Modeling of Microbiological Processes  

SciTech Connect (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

75

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

E-Print Network [OSTI]

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

Coffey, Brian

2010-01-01T23:59:59.000Z

76

Using Process Modeling for Process Understanding Dewayne E. Perry  

E-Print Network [OSTI]

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

Perry, Dewayne E.

77

Updatable Process Views for Adapting Large Process Models  

E-Print Network [OSTI]

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

Ulm, Universität

78

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

79

Modelling and Control of Activated Sludge Processes  

E-Print Network [OSTI]

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

Skogestad, Sigurd

80

Lightweight Process Modeling for Virtual Enterprise Process Collaboration  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

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

An information modeling framework for process planning  

E-Print Network [OSTI]

69 69 CHAPTER Page F G H Structure of Infons . The Model G. l. Process Plan G. 2. Process Plan Set G. 3. Process Plan Activity G. 4. Recursive Nature G. 5. Process Plan Set Element G. 6. Serial Process Plan Set . G. 7. Parallel Process... Knowle D. Implications of Dimensions and Tolerances E. Set-Up Planning F. Tool Path Planning G. Activity Parameter Specification 3. Observations of Situation Theoretic Modelling 4. Interaction Between Models A. Interaction in Terms of Databases B...

Atreya, Dinesh S.

1993-01-01T23:59:59.000Z

82

Cupola Furnace Computer Process Model  

SciTech Connect (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

83

Towards a Security Engineering Process Model for Electronic Business Processes  

E-Print Network [OSTI]

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

Eichler, Jörn

2012-01-01T23:59:59.000Z

84

BUSINESS PROCESS MODELING WITH UML Nuno Castela  

E-Print Network [OSTI]

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

85

Evergreening Peer Review Business Process Modeling (BPM)  

E-Print Network [OSTI]

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

Rau, Don C.

86

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

Open Energy Info (EERE)

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

87

Image Processing with Manifold Models  

E-Print Network [OSTI]

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

Milanfar, Peyman

88

Modeling Business Objectives for Business Process Management  

E-Print Network [OSTI]

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

Ulm, Universität

89

Process-Based Cost Modeling to Support Target Value Design  

E-Print Network [OSTI]

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

Nguyen, Hung Viet

2010-01-01T23:59:59.000Z

90

SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING  

E-Print Network [OSTI]

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

91

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models  

E-Print Network [OSTI]

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

Stachniss, Cyrill

92

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

E-Print Network [OSTI]

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

Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

93

Hydrothermal processing of Hanford tank wastes: Process modeling and control  

SciTech Connect (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

94

A Signal Processing Model of Quantum Mechanics  

E-Print Network [OSTI]

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

Chris Thron; Johnny Watts

2012-05-08T23:59:59.000Z

95

A Process Model of Quantum Mechanics  

E-Print Network [OSTI]

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

William Sulis

2014-04-21T23:59:59.000Z

96

Attrition and abrasion models for oil shale process modeling  

SciTech Connect (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

97

Exploring chaos to model the design process  

E-Print Network [OSTI]

to a. chaotic svstem mav drive it to neu attractors. Any neiv information introduced to the design proi. ess mav lead to different solutions. CHAPTER II THE FUNDAMENTAL PROCESSES OF DESIGN As ivas stated in the introduction, the first objective... of this researcll v" as i i identify some of the funclamental activities of the design process. In order to acconiphsh tins task. the follniving approach v;as taken. i. 'The hterature ivas surveyed for descriptive models of the design process. klorlcls tliat...

Sharkawy, Ahmed

1990-01-01T23:59:59.000Z

98

Supporting Flexible Business Processes with a Progression Model  

E-Print Network [OSTI]

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

Schneider, Kevin A.

99

Performance modeling in the design process  

SciTech Connect (OSTI)

Here, in capsule form, are some lessons learned trying to integrate performance modeling into the design process. Performance modeling should play a central role in system design; ignore it at your peril. The role of performance modeling is not the same in all design projects. Clearly specify performance goals and what factors will affect performance; they try to model those factors. Obtaining the data for the models can be a major problem; ongoing measurement projects are always worthwhile. Prototypes can be valuable data gathering tools if they are instrumented for this purpose. Anticipate the effect of environment on the system you are designing, and the effects of the system on the environment. Including the performance analyst on the design team from the beginning; if he is perceived as an outsider, he is more likely to be ignored, especially if decisions have already been made.

Alexander, W.; Brice, R.

1982-01-01T23:59:59.000Z

100

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

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

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

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

Iron and steel industry process model  

SciTech Connect (OSTI)

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

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

1980-01-01T23:59:59.000Z

102

Business Process Modeling and Agility Nancy Alexopoulou1  

E-Print Network [OSTI]

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

Kouroupetroglou, Georgios

103

Configurable Process Models: Experiences from a Municipality Case Study  

E-Print Network [OSTI]

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

van der Aalst, Wil

104

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

E-Print Network [OSTI]

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

Klein, Jeanne

2005-01-01T23:59:59.000Z

105

Multiscale modeling of spatially variable water and energy balance processes  

E-Print Network [OSTI]

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

Famiglietti, J. S; Wood, E. F

1994-01-01T23:59:59.000Z

106

Process models Process in science is a natural phenomenon made up  

E-Print Network [OSTI]

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

Johnson, Edward A.

107

Multiphase Flow Modeling of Biofuel Production Processes  

SciTech Connect (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

108

Effective Collaboration and Consistency Management in Business Process Modeling  

E-Print Network [OSTI]

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

Czarnecki, Krzysztof

109

Formalizing Concepts for Efficacy-aware Business Process Modeling  

E-Print Network [OSTI]

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

Ulm, Universität

110

A Framework for Modeling Strategy, Business Processes and Information Systems  

E-Print Network [OSTI]

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

111

BUSINESS PROCESSES EXTENSIONS TO UML PROFILE FOR BUSINESS MODELING  

E-Print Network [OSTI]

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

112

Museum: Multidimensional web page segment evaluation model  

E-Print Network [OSTI]

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

Kuppusamy, K S

2012-01-01T23:59:59.000Z

113

The Model Morphing Approach -Horizontal Transformations between Business Process  

E-Print Network [OSTI]

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

114

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

E-Print Network [OSTI]

Paper Number -1- Simulation model of dispersions in turning process Wolff Valery 1, Lefebvre Arnaud. In this paper, an extent of the simulation model of dispersions in turning process first exposed in [W1

Paris-Sud XI, Université de

115

Modeling Faults to Improve Election Process Robustness  

E-Print Network [OSTI]

this approach for the Yolo County election process. We focuson the election process used by Yolo County, California 2 .cally on the part of the Yolo County process that deals with

2010-01-01T23:59:59.000Z

116

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...

Alexander, J.

117

Engineering Process Coordination based on A Service Event Notification Model  

E-Print Network [OSTI]

Engineering Process Coordination based on A Service Event Notification Model Jian Cao1, Jie Wang2 the project lifecycle process. Grid-based engineering service is a potentially useful technology for process coordination. Thus we propose a Grid service based event notification model to support engineering process

Stanford University

118

APPLYING ACTIVITY PATTERNS FOR DEVELOPING AN INTELLIGENT PROCESS MODELING TOOL  

E-Print Network [OSTI]

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

Ulm, Universität

119

Spatial Data Models and Query Processing Hanan Samet  

E-Print Network [OSTI]

Spatial Data Models and Query Processing Hanan Samet Walid G. Aref Computer Science Department databases. The focus is on data models and query processing. Query optimization in a spatial environment is also brie y discussed. Keywords and phrases: spatial databases, data models, spatial query processing

Samet, Hanan

120

Capturing Variability in Business Process Models: The Provop Approach  

E-Print Network [OSTI]

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

Ulm, Universität

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

Modeling, Safely Advertising and Verifying Time-aware Business Processes  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

122

A Goal-Directed Modeling Technique towards Business Process  

E-Print Network [OSTI]

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

Perry, Dewayne E.

123

The development of a cognitive process-oriented correlation model  

E-Print Network [OSTI]

OF SCIENCE December 1988 Major Subject: Curriculum and Instruction THE DEVELOPMENT OF A COGNITIVE PROCESS-ORIENTED CORRELATION MODEL A Thesis by RICHARD JAMES KNEUVEN Approved as to style and content by: P r c'a exander ( r of Committee ) David...-processing correlation model might be translated into a secondary school curriculum. In an attempt to identify underlying cognitive processes that could provide a basis for a process-oriented correlation model, several areas of literature were reviewed. This thesis...

Kneuven, Richard James

1988-01-01T23:59:59.000Z

124

Quantifying the Parallelism in BPMN Processes using Model Checking  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

125

Reactor Modeling and Recipe Optimization of Polyether Polyol Processes  

E-Print Network [OSTI]

Reactor Modeling and Recipe Optimization of Polyether Polyol Processes Spring 2013 EWO Meeting Yisu.M. Wassick. Reactor Modeling and Recipe Optimization of Polyether Polyol Processes: Polypropylene Glycol Project timeline Development of systematic optimization methods of batch processes Nov. 2009 - Dec. 2011

Grossmann, Ignacio E.

126

Sensitivity of Optimal Operation of an Activated Sludge Process Model  

E-Print Network [OSTI]

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

Skogestad, Sigurd

127

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

World Energy Outlook [71]. The projection of electricity carbon factors is based on expectations of the carbon intensity

McNeil, Michael A.

2013-01-01T23:59:59.000Z

128

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

market shares Industrial electric motors activity parametersInitiative. in IEA Electric Motor Systems Workshop. 2006.Standards for Electric Motors in Brazilian Industry. Energy

McNeil, Michael A.

2013-01-01T23:59:59.000Z

129

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

Energy-Efficiency Standards for Electric Motors in Brazilianefficiency definitions Product class market shares Industrial electric motorsMotor Efficiency Standards - SEEEM Harmonization Initiative. in IEA Electric

McNeil, Michael A.

2013-01-01T23:59:59.000Z

130

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

131

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

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

McNeil, Michael A.

2013-01-01T23:59:59.000Z

132

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

stabilize US GHG emissions at their 2010 levels until thefor US light-duty vehicle GHG emissions under varying levelsUS GHG emissions would be stabilized at 2010 levels by 2020—

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

133

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

Statement Household Refrigerators and Freezers. 2008. EC,technologies (e.g. refrigerators and freezers are groupedresidential refrigerators and freezers: function derivation

McNeil, Michael A.

2013-01-01T23:59:59.000Z

134

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

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

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

135

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

Documents U.S. Rulemaking Documents TSL 4 PHP IncandescentLamps Incandescent Lamps Fluorescent Lamp Ballasts kWh/yrand T5 fluorescent tubes, incandescent lamps, CFLs, Halogen

McNeil, Michael A.

2013-01-01T23:59:59.000Z

136

DNA-inspired materials for 'bottom-up' nanotechnology.  

E-Print Network [OSTI]

??DNA is a remarkable material that is both an inspiration for polymer nanotechnology and a versatile building block for assembling well-defined nanostructures. To create polymeric… (more)

Ishihara, Yoshihiro.

2007-01-01T23:59:59.000Z

137

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

US Department of Energy’s Transportation Energy Data Book (Davis and Diegel, 2006). Baseline gasoline and ethanol usage

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

138

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

country energy coverage will total 77% of global demand. Thetotal energy demand in 2005[6], the countries covered account for 62% of global

McNeil, Michael A.

2013-01-01T23:59:59.000Z

139

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

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

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

140

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

US 1990 GHG emissions None 684 US cities representing 26% ofGHG emissions by states sources and sectors 684 US cities,The overall US GHG emissions effect of the state and city

Lutsey, Nicholas P.; Sperling, Dan

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.


141

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

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

McNeil, Michael A.

2013-01-01T23:59:59.000Z

142

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network [OSTI]

EC (2004). c US MCPA (2007). d RGGI (2005). e WGA (2006). fGHG emissions PTP WGA US MCPA WCG RGGI NEG/ECP Year Fig. 5.Greenhouse Gas Initiative (RGGI), 2007. About RGGI /http://

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

143

Bottom-Up Energy Analysis System - Methodology and Results  

E-Print Network [OSTI]

2008 Water Heater Water Heater Gas Storage Gas Storage GJ/yryr USA MEX DOE, FR 2010 CONUEE Water Heater Gas Storage GJ/yr CAN Water Heater Gas Storage Gas Instantaneous Gas

McNeil, Michael A.

2013-01-01T23:59:59.000Z

144

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Area Solar Energy Association Jump to:Botetourt

145

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Area Solar Energy Association Jump to:Botetourt

146

Assembly of a Molecular Needle, from the Bottom Up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication2ArgonneAssembly of a Molecular Needle, from

147

Assembly of a Molecular Needle, from the Bottom Up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication2ArgonneAssembly of a Molecular Needle,

148

Assembly of a Molecular Needle, from the Bottom Up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication2ArgonneAssembly of a Molecular

149

Assembly of a Molecular Needle, from the Bottom Up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout theOFFICEAmesApplication2ArgonneAssembly of a MolecularAssembly of a

150

Assembly of a Molecular Needle, from the Bottom Up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone byDear Friend,Arthur J. Nozik -Grown byAssembly of a Molecular

151

Modeling and simulation of film blowing process  

E-Print Network [OSTI]

, their work does not include crystallization kinetics, hence, restricted to amorphous polymers. Cao and Campbell?s predictions of bubble radius, temperature, and velocity profiles are in reasonably good agreement with Gupta?s (1980) experimental measurements.... . . . . . . . . . . . . . 95 V Process conditions used for the analysis of Exxon data. . . . . . . . . 99 VI The influence of radiation heat transfer on the process. . . . . . . . . 171 x LIST OF FIGURES FIGURE Page 1 Schematic of a typical film blowing process...

Mayavaram, Ravisankar S.

2005-08-29T23:59:59.000Z

152

An Ontology-enabled Approach for Modelling Business Processes  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

153

Semantic Lifting of Business Process models Mario Lezoche1  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

154

Model-Driven Business Process Recovery , Terence C. Lau2  

E-Print Network [OSTI]

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

Zou, Ying

155

Gaussian Process Product Models for Nonparametric Nonstationarity  

E-Print Network [OSTI]

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

Adams, Ryan Prescott

156

Chemical Models for Aqueous Biodynamical Processes  

E-Print Network [OSTI]

The proton inventory method was applied to the study of three processes: the viscous flow of water, the neutral hydrolysis of esters, and the exchange reaction between aqueous sodium ion and the carboxylic exchanger Amberlite ...

Mata-Segreda, Julio F.

1975-05-01T23:59:59.000Z

157

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

158

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

159

Bayesian variable selection in clustering via dirichlet process mixture models  

E-Print Network [OSTI]

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

Kim, Sinae

2007-09-17T23:59:59.000Z

160

Adjoint modeling for atmospheric pollution process sensitivity at regional scale  

E-Print Network [OSTI]

Adjoint modeling for atmospheric pollution process sensitivity at regional scale Laurent Menut; 0345 Atmospheric Composition and Structure: Pollution--urban and regional (0305); 3210 Mathematical: atmospheric pollution, tropospheric ozone, urban pollution peaks, adjoint modeling, sensitivity Citation

Menut, Laurent

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

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

E-Print Network [OSTI]

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

Kindler, Ekkart

162

Author's personal copy Fuzzy modelling of the composting process  

E-Print Network [OSTI]

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

163

Adaptive Methods for Modelling Transport Processes in Fractured Subsurface Systems  

E-Print Network [OSTI]

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

Cirpka, Olaf Arie

164

Modeling and analysis of dual hydroforming process  

E-Print Network [OSTI]

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

Jain, Nishant

2004-09-30T23:59:59.000Z

165

Model-based experimental analysis for inter-polymer process  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

166

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

E-Print Network [OSTI]

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

167

Process modeling of hydrogen production from municipal solid waste  

SciTech Connect (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

168

Analyzing Critical Process Models through Behavior Model Synthesis Christophe Damas1  

E-Print Network [OSTI]

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

Bonaventure, Olivier

169

Digital neural network-based modeling technique for extrusion processes  

E-Print Network [OSTI]

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

Jang, Won-Hyouk

2001-01-01T23:59:59.000Z

170

"Big Picture" Process Modeling Tools |GE Global Research  

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

window) Using process modeling tools to attain cost-effective results for GE customers Jimmy Lopez 2015.03.26 Sometimes, we need to look outside the box to realize the powerful...

171

Cost modeling in the integrated supply chain strategic decision process  

E-Print Network [OSTI]

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

Robinson, Todd (Todd Christopher)

2006-01-01T23:59:59.000Z

172

Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes  

E-Print Network [OSTI]

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

173

Robust model-based fault diagnosis for chemical process systems  

E-Print Network [OSTI]

diagnosis systems, which use limited information about the process model to robustly detect, discriminate, and reconstruct instrumentation faults. Broadly, the proposed method consists of a novel nonlinear state and parameter estimator coupled with a fault...

Rajaraman, Srinivasan

2006-08-16T23:59:59.000Z

174

Modelling and Simulation of a Polluted Water Pumping Process  

E-Print Network [OSTI]

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

Tradacete, Pedro

175

Diagnostics and modeling of plasma processes in ion sources  

E-Print Network [OSTI]

Diagnostics and modeling of plasma processes in ion sources Akos Vertes*, Renaat Gijbels, and Fred and describe the underlying phys- icochemical processes. Plasma diagnostic methods were borrowed from plasma, Belgium I. INTRODUCTION Plasma ion sources are constantly growing in importance in the field of atomic

Vertes, Akos

176

MODELING OF THERMALLY DRIVEN HYDROLOGICAL PROCESSES IN PARTIALLY  

E-Print Network [OSTI]

) incorporation of a full set of thermal-hydrological processes into a numerical simulator, (2) realistic AND BACKGROUND [2] The containment of spent fuel from nuclear power plants in a geological repositoryMODELING OF THERMALLY DRIVEN HYDROLOGICAL PROCESSES IN PARTIALLY SATURATED FRACTURED ROCK Y. W

Jellinek, Mark

177

PROCESS MODELING AND CONTROL The Department of Chemical Engineering  

E-Print Network [OSTI]

) · S. Ziaii ­ CO2 absorption process modeling and control/power plant energy integration (Joint research in our department #12;· Ensure safe plant operation · Meet product specifications · Optimize/Control · B. Gill ­ Virtual sensors in etch processes (Texas Instruments) · X. Jiang ­ Controller performance

Lightsey, Glenn

178

MULTISCALE MODELING OF DIFFUSION-INDUCED DEFORMATION PROCESSES  

E-Print Network [OSTI]

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

Ponce, V. Miguel

179

Magma to Microbe: Modeling Hydrothermal Processes at Ocean Spreading Centers  

E-Print Network [OSTI]

233 Magma to Microbe: Modeling Hydrothermal Processes at Ocean Spreading Centers Geophysical to mixing between #12;234 MIcrOBE MInErAl prOcESSES In SEAflOOr SulfIdES seawater and the hydrothermal of Washington, Seattle, Washington, USA Hydrothermal vent sulfides are diverse and dynamic habitats

Holden, James F.

180

Searching for PMIPS: Process Model Instructions Per Second  

E-Print Network [OSTI]

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

Baldi, Mario

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

Engineered Barrier System Degradation, Flow, and Transport Process Model Report  

SciTech Connect (OSTI)

The Engineered Barrier System Degradation, Flow, and Transport Process Model Report (EBS PMR) is one of nine PMRs supporting the Total System Performance Assessment (TSPA) being developed by the Yucca Mountain Project for the Site Recommendation Report (SRR). The EBS PMR summarizes the development and abstraction of models for processes that govern the evolution of conditions within the emplacement drifts of a potential high-level nuclear waste repository at Yucca Mountain, Nye County, Nevada. Details of these individual models are documented in 23 supporting Analysis/Model Reports (AMRs). Nineteen of these AMRs are for process models, and the remaining 4 describe the abstraction of results for application in TSPA. The process models themselves cluster around four major topics: ''Water Distribution and Removal Model, Physical and Chemical Environment Model, Radionuclide Transport Model, and Multiscale Thermohydrologic Model''. One AMR (Engineered Barrier System-Features, Events, and Processes/Degradation Modes Analysis) summarizes the formal screening analysis used to select the Features, Events, and Processes (FEPs) included in TSPA and those excluded from further consideration. Performance of a potential Yucca Mountain high-level radioactive waste repository depends on both the natural barrier system (NBS) and the engineered barrier system (EBS) and on their interactions. Although the waste packages are generally considered as components of the EBS, the EBS as defined in the EBS PMR includes all engineered components outside the waste packages. The principal function of the EBS is to complement the geologic system in limiting the amount of water contacting nuclear waste. A number of alternatives were considered by the Project for different EBS designs that could provide better performance than the design analyzed for the Viability Assessment. The design concept selected was Enhanced Design Alternative II (EDA II).

E.L. Hardin

2000-07-17T23:59:59.000Z

182

Modeling Lake Erie ice dynamics: Process studies , Haoguo Hu2  

E-Print Network [OSTI]

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

183

Applying Model Transformation By-Example on Business Process Modeling Languages  

E-Print Network [OSTI]

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

184

Web Services-Enhanced Agile Modeling and Integrating Business Processes  

E-Print Network [OSTI]

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

Belouadha, Fatima-Zahra; Roudiès, Ounsa

2012-01-01T23:59:59.000Z

185

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

E-Print Network [OSTI]

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

Peleg, Mor

186

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

E-Print Network [OSTI]

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

Ulm, Universität

187

A subliminal manipulation of the Extended Parallel Process Model  

E-Print Network [OSTI]

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

Stephenson, Michael Taylor

1993-01-01T23:59:59.000Z

188

Mathematical Formulation Requirements and Specifications for the Process Models  

SciTech Connect (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

189

Diode laser welding of ABS: Experiments and process modeling  

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

190

Scaling considerations for modeling the in situ vitrification process  

SciTech Connect (OSTI)

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

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

1990-09-01T23:59:59.000Z

191

A Survey on Time-aware Business Process Modeling Saoussen Cheikhrouhou1  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

192

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

193

A methodology for simultaneous modeling and control of chemical processes  

E-Print Network [OSTI]

Feedback Control System The Methodology IV APPLICATION TO A TEXTBOOK PROBLEM IMC Controller Structure RLS Algorithm Design Method. Linear Model Description . Simulation with Different Initial System Output Values . . . . Simulation with Different... and Initial System Output Values. Simulation with Different Disturbance Gains. . . . VI CASE STUDY: APPLICATION OF THIS FEEDBACK SYSTEM TO A TENNESSEE EASTMAN TESTBED PROBLEM, . . . Problem Description. Reactor Control and Process Identification. VII...

Zeng, Tong

1995-01-01T23:59:59.000Z

194

Interpreting Eye Movements with Process Models Dario D. Salvucci  

E-Print Network [OSTI]

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

Salvucci, Dario D.

195

Supporting Generic Cost Models for Wide-Area Stream Processing  

E-Print Network [OSTI]

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

Cetintemel, Ugur

196

Magma to Microbe: Modeling Hydrothermal Processes at Ocean Spreading Centers  

E-Print Network [OSTI]

215 Magma to Microbe: Modeling Hydrothermal Processes at Ocean Spreading Centers Geophysical is very limited. Low-temperature diffuse vent fluids, ubiquitous at hydrothermal systems, provide one microorganisms from diffuse hydrothermal vent fluids and the subseafloor at basalt-hosted mid-ocean ridges

Holden, James F.

197

Queuing Models of Airport Departure Processes for Emissions Reduction  

E-Print Network [OSTI]

is validated through a comparison of its predictions with observed data at Boston's Logan International AirportQueuing Models of Airport Departure Processes for Emissions Reduction Ioannis Simaiakis burn and emissions at airports. This paper investigates the possibility of reducing fuel burn

Gummadi, Ramakrishna

198

Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes  

E-Print Network [OSTI]

Dynamic Modeling and Recipe Optimization of Polyether Polyol Processes Fall 2012 EWO Meeting Yisu Monomer Reactor Basic procedures Starters are first mixed with catalyst in the liquid phase Alkylene oxides in the liquid phase are fed in controlled rates The reactor temperature is controlled by the heat

Grossmann, Ignacio E.

199

Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier  

E-Print Network [OSTI]

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

Neumaier, Arnold

200

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

SciTech Connect (OSTI)

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

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

1995-09-01T23:59:59.000Z

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.


201

Measurement and modeling of advanced coal conversion processes, Volume III  

SciTech Connect (OSTI)

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

202

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

E-Print Network [OSTI]

PASI 2011 PASI 2011: Process Modeling and Optimization for Energy and Sustainability Mineral, high population growth and urbanization, both key metals consumption and GDP are expected to grow the environmental impact, both in per tonne of product and on total amount of emissions and reduction. #12

Grossmann, Ignacio E.

203

Bessel process, Schramm-Loewner evolution, and Dyson model  

E-Print Network [OSTI]

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

Makoto Katori

2011-03-24T23:59:59.000Z

204

Modeling veterans healthcare administration disclosure processes : CY 2012 summary.  

SciTech Connect (OSTI)

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

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

2013-09-01T23:59:59.000Z

205

Quantum mechanical Hamiltonian models of the computation process  

SciTech Connect (OSTI)

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

Benioff, P.

1983-01-01T23:59:59.000Z

206

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

E-Print Network [OSTI]

design, modeling and process economic analysis are employedper day. Like BTL process, economic analysis has shown thatused as major input for process economic analysis in the

Lu, Xiaoming

2012-01-01T23:59:59.000Z

207

Three-dimensional modelling and geothermal process simulation  

SciTech Connect (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

208

Large scale molecular dynamics modeling of materials fabrication processes  

SciTech Connect (OSTI)

An atomistic molecular dynamics model of materials fabrication processes is presented. Several material removal processes are shown to be within the domain of this simulation method. Results are presented for orthogonal cutting of copper and silicon and for crack propagation in silica glass. Both copper and silicon show ductile behavior, but the atomistic mechanisms that allow this behavior are significantly different in the two cases. The copper chip remains crystalline while the silicon chip transforms into an amorphous state. The critical stress for crack propagation in silica glass was found to be in reasonable agreement with experiment and a novel stick-slip phenomenon was observed.

Belak, J.; Glosli, J.N.; Boercker, D.B.; Stowers, I.F.

1994-02-01T23:59:59.000Z

209

Process integrated modelling for steelmaking Life Cycle Inventory analysis  

SciTech Connect (OSTI)

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

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

2008-10-15T23:59:59.000Z

210

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

SciTech Connect (OSTI)

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

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

2014-06-05T23:59:59.000Z

211

Use of artificial intelligence for process modeling and control  

E-Print Network [OSTI]

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

You, Yong

1991-01-01T23:59:59.000Z

212

A Process Model of Applicant Faking on Overt Integrity Tests  

E-Print Network [OSTI]

of empirically tested models or appropriate theoretical structures to explain the process (Griffith & McDaniel, 2006; Murphy, 2000). Moreover, there seems to be a limited understanding of possible outcomes associated with applicant faking..., Barrett, & Hogan, 2007; McFarland & Ryan, 2006; Morgeson et al., 2007). According to recent studies, approximately 30-50% of job applicants consciously try to elevate their scores (Donovan, Dwight, & Hurtz, 2003; Griffith et al., 2007)1. Faking...

Yu, Janie

2010-01-14T23:59:59.000Z

213

A simple segregated flow model for a WAG process  

E-Print Network [OSTI]

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

Hopkins, Christopher Wright

1985-01-01T23:59:59.000Z

214

Gaussian Process Model for Collision Dynamics of Complex Molecules  

E-Print Network [OSTI]

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

Cui, Jie

2015-01-01T23:59:59.000Z

215

Evolutionary Processes in Economics: Multi-agent Model of Macrogenerations Dynamics  

E-Print Network [OSTI]

Evolutionary Processes in Economics: Multi-agent Model of Macrogenerations Dynamics Kateryna macroeconomic growth as an evolutionary process. Keywords. Economic growth, evolutionary theory, multi]. Our study models the economic growth as an evolutionary process, where the term `macrogeneration

López-Sánchez, Maite

216

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

SciTech Connect (OSTI)

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

217

Model and Analytic Processes for Export License Assessments  

SciTech Connect (OSTI)

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

218

Fundamental Chemical Kinetic And Thermodynamic Data For Purex Process Models  

SciTech Connect (OSTI)

To support either the continued operations of current reprocessing plants or the development of future fuel processing using hydrometallurgical processes, such as Advanced Purex or UREX type flowsheets, the accurate simulation of Purex solvent extraction is required. In recent years we have developed advanced process modeling capabilities that utilize modern software platforms such as Aspen Custom Modeler and can be run in steady state and dynamic simulations. However, such advanced models of the Purex process require a wide range of fundamental data including all relevant basic chemical kinetic and thermodynamic data for the major species present in the process. This paper will summarize some of these recent process chemistry studies that underpin our simulation, design and testing of Purex solvent extraction flowsheets. Whilst much kinetic data for actinide redox reactions in nitric acid exists in the literature, the data on reactions in the diluted TBP solvent phase is much rarer. This inhibits the accurate modelization of the Purex process particularly when species show a significant extractability in to the solvent phase or when cycling between solvent and aqueous phases occurs, for example in the reductive stripping of Pu(IV) by ferrous sulfamate in the Magnox reprocessing plant. To support current oxide reprocessing, we have investigated a range of solvent phase reactions: - U(IV)+HNO{sub 3}; - U(IV)+HNO{sub 2}; - U(IV)+HNO{sub 3} (Pu catalysis); - U(IV)+HNO{sub 3} (Tc catalysis); - U(IV)+ Np(VI); - U(IV)+Np(V); - Np(IV)+HNO{sub 3}; - Np(V)+Np(V); Rate equations have been determined for all these reactions and kinetic rate constants and activation energies are now available. Specific features of these reactions in the TBP phase include the roles of water and hydrolyzed intermediates in the reaction mechanisms. In reactions involving Np(V), cation-cation complex formation, which is much more favourable in TBP than in HNO{sub 3}, also occurs and complicates the redox chemistry. Whilst some features of the redox chemistry in TBP appear similar to the corresponding reactions in aqueous HNO{sub 3}, there are notable differences in rates, the forms of the rate equations and mechanisms. Secondly, to underpin the development of advanced single cycle flowsheets using the complexant aceto-hydroxamic acid, we have also characterised in some detail its redox chemistry and solvent extraction behaviour with both Np and Pu ions. We find that simple hydroxamic acids are remarkably rapid reducing agents for Np(VI). They also reduce Pu(VI) and cause a much slower reduction of Pu(IV) through a complex mechanism involving acid hydrolysis of the ligand. AHA is a strong hydrophilic and selective complexant for the tetravalent actinide ions as evidenced by stability constant and solvent extraction data for An(IV), M(III) and U(VI) ions. This has allowed the successful design of U/Pu+Np separation flowsheets suitable for advanced fuel cycles. (authors)

Taylor, R.J.; Fox, O.D.; Sarsfield, M.J.; Carrott, M.J.; Mason, C.; Woodhead, D.A.; Maher, C.J. [British Technology Centre, Nexia Solutions, Sellafield, Seascale, CA20 1PG (United Kingdom); Steele, H. [Nexia Solutions, inton House, Risley, Warrington, WA3 6AS (United Kingdom); Koltunov, V.S. [A.A. Bochvar All-Russia Institute of Inorganic Materials, VNIINM, PO Box 369, Moscow 123060 (Russian Federation)

2007-07-01T23:59:59.000Z

219

Efficacy-aware Business Process Modeling Matthias Lohrmann and Manfred Reichert  

E-Print Network [OSTI]

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

Ulm, Universität

220

A Model for the Visualization Exploration Process T.J. Jankun-Kelly  

E-Print Network [OSTI]

A Model for the Visualization Exploration Process T.J. Jankun-Kelly Kwan-Liu Ma Michael Gertz of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used the visualization process to further data exploration. Keywords: visualization process, visualization models, visual

Ma, Kwan-Liu

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

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

E-Print Network [OSTI]

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

van Vliet, Hans

222

Model operating permits for natural gas processing plants  

SciTech Connect (OSTI)

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

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

1995-12-31T23:59:59.000Z

223

Evaluating Energy Efficiency Policies with Energy-Economy Models  

SciTech Connect (OSTI)

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

224

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

225

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

E-Print Network [OSTI]

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

Wen, Musen

2010-01-01T23:59:59.000Z

226

Petri-Net Simulation Model of a Nuclear Component Degradation Process , E. Zioa,b  

E-Print Network [OSTI]

1 Petri-Net Simulation Model of a Nuclear Component Degradation Process Y.F. Lia* , E. Zioa,b , Y models [2-5] and simulation models [1, 6, 7]. The analytical degradation models can be further classified

Paris-Sud XI, Université de

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.

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

1997-01-01T23:59:59.000Z

228

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

229

Evaluation and Comparison of Ecological Models Simulating Nitrogen Processes in Treatment Wetlands,Implemented in Modelica.  

E-Print Network [OSTI]

?? Two ecological models of nitrogen processes in treatment wetlands have been evaluated and compared. These models have been implemented, simulated, and visualized in the… (more)

Edelfeldt, Stina

2005-01-01T23:59:59.000Z

230

MODELING RESULTS FROM CESIUM ION EXCHANGE PROCESSING WITH SPHERICAL RESINS  

SciTech Connect (OSTI)

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

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

2011-01-03T23:59:59.000Z

231

Application of Gaussian Process Modeling to Analysis of Functional Unreliability  

SciTech Connect (OSTI)

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

R. Youngblood

2014-06-01T23:59:59.000Z

232

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

233

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

E-Print Network [OSTI]

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

234

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

E-Print Network [OSTI]

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

235

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

E-Print Network [OSTI]

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

Bauer, Bernhard

236

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

E-Print Network [OSTI]

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

Bordbar, Behzad

237

To appear in the IEEE Visualization 2002 Proceedings A Model for the Visualization Exploration Process  

E-Print Network [OSTI]

- sualization process is discussed, leading to a general model of the visualization exploration process this end, a model for the visualization exploration process has been developed. Visualization and GraphicsTo appear in the IEEE Visualization 2002 Proceedings A Model for the Visualization Exploration

Jankun-Kelly, T. J.

238

Enabling a User-Friendly Visualization of Business Process Models  

E-Print Network [OSTI]

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

Ulm, Universität

239

Representing Cloud Processing of Aerosol in Numerical Models  

SciTech Connect (OSTI)

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

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

2005-03-18T23:59:59.000Z

240

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

E-Print Network [OSTI]

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

Bauer, Bernhard

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

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, it is #12;Chapter 4: Refrigeration Process Control: Simulation Model 65 translated into FORTRAN or C

Skogestad, Sigurd

242

Advanced modeling of planarization processes for integrated circuit fabrication  

E-Print Network [OSTI]

Planarization processes are a key enabling technology for continued performance and density improvements in integrated circuits (ICs). Dielectric material planarization is widely used in front-end-of-line (FEOL) processing ...

Fan, Wei, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

243

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

E-Print Network [OSTI]

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

Cambridge, University of

244

Summer school MOVEP 2002 MOdelling and VErification of parallel Processes  

E-Print Network [OSTI]

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

Ryan, Mark

245

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

E-Print Network [OSTI]

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

246

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

E-Print Network [OSTI]

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

Berry, R. Stephen

247

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

E-Print Network [OSTI]

Models for Optimization of Energy Consumption of Pumps in a Wastewater Processing Plant Zijun Zhang in the wastewater preliminary treatment process is discussed. Data- mining algorithms are utilized to develop pump performance models based on industrial data collected at a municipal wastewater processing plant

Kusiak, Andrew

248

Multi-Modal Modeling, Analysis and Validation of Open Source Software Requirements Processes  

E-Print Network [OSTI]

model of the OSS requirements process requires multiple, comparative project case studies, so our1 Multi-Modal Modeling, Analysis and Validation of Open Source Software Requirements Processes Walt@uci.edu Abstract Understanding the context, structure, activities, and content of software development processes

Scacchi, Walt

249

Modeling Disease Incidence Data with Spatial and Spatio-Temporal Dirichlet Process Mixtures  

E-Print Network [OSTI]

Modeling Disease Incidence Data with Spatial and Spatio-Temporal Dirichlet Process Mixtures approaches to analyze such data. We develop a hierarchical specification using spatial random effects modeled. Key words: Areal unit spatial data; Dirichlet process mixture models; Disease mapping; Dy- namic

Wolpert, Robert L

250

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

E-Print Network [OSTI]

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

Bauer, Bernhard

251

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

E-Print Network [OSTI]

Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no structure that leads to optimal economic operation, while promptly rejecting disturbances at lower layers

Skogestad, Sigurd

252

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

E-Print Network [OSTI]

Energy-efficient Model Inference in Wireless Sensing: Asymmetric Data Processing Paul G. Flikkema assessment and management of model uncertainty. At the same time, energy constraints impose the need--The ultimate product of distributed sensing is nor- mally a model that describes the data or a set of processes

253

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

E-Print Network [OSTI]

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

254

Correctness-Preserving Configuration of Business Process Models  

E-Print Network [OSTI]

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

van der Aalst, Wil

255

Model-Driven Process Configuration of Enterprise Systems*  

E-Print Network [OSTI]

by Nordsieck who argued in 1934 that the structure of a company should be process-oriented [Nord34, p. 77] and compared the structure of a company to a stream, because it is an "uninterrupted value chain" [translated from Nord72]. Based on these ideas, Business Process Reengineering (BPR) be- came a popular management

van der Aalst, Wil

256

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

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

257

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

E-Print Network [OSTI]

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

Lambers, James

258

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

259

Low-energy holographic models for QCD  

E-Print Network [OSTI]

We consider the bottom-up holographic models for QCD which contain the ultraviolet (UV) cutoff. Such models are supposed to describe exclusively the low-energy sector of QCD. The introduction of UV cutoff in the soft wall model is shown to result in a model with qualitatively different predictions. The ensuing model seems to be able to incorporate the constituent quark mass. It is also demonstrated that in order to reproduce the results of the usual soft wall model for the vector and higher spin mesons in the presence of the UV cutoff one can consider the flat bulk space with a modified dilaton background.

S. S. Afonin

2011-04-09T23:59:59.000Z

260

Introduction to Holographic Superconductor Models  

E-Print Network [OSTI]

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

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

2015-01-01T23:59:59.000Z

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

Introduction to Holographic Superconductor Models  

E-Print Network [OSTI]

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

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

2015-03-12T23:59:59.000Z

262

Introduction to Holographic Superconductor Models  

E-Print Network [OSTI]

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

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

2015-02-02T23:59:59.000Z

263

Unified Resource Modelling: Integrating knowledge into business processes  

E-Print Network [OSTI]

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

264

Quality Guidelines for Energy System Studies Process Modeling...  

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

property method. The NRTL method more accurately predicts the solubility of chlorides in water. The sulfur recovery unit and CO 2 capture process use the PENG-ROB equation of...

265

On approximating the stochastic behaviour of Markovian process algebra models   

E-Print Network [OSTI]

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

Milios, Dimitrios

2014-06-27T23:59:59.000Z

266

Dynamic risk adjustment of prediction models using statistical process control methods  

E-Print Network [OSTI]

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

Chuo, John, 1969-

2004-01-01T23:59:59.000Z

267

Gaussian Process Modeling and Computation in Engineering Applications  

E-Print Network [OSTI]

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

Pourhabib, Arash

2014-07-08T23:59:59.000Z

268

Thermodynamic modeling of CatLiq biomass conversion process  

E-Print Network [OSTI]

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

Toor, Saqib

269

Multiscale modeling of exocytosis in the fertilization process  

E-Print Network [OSTI]

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

Aldo Ledesma Duran; I. Santamaria-Holek

2015-02-23T23:59:59.000Z

270

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

SciTech Connect (OSTI)

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

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

2013-09-01T23:59:59.000Z

271

Measurement and modeling of advanced coal conversion processes, Volume II  

SciTech Connect (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

272

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

E-Print Network [OSTI]

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

Boyer, Edmond

273

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

E-Print Network [OSTI]

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

274

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

E-Print Network [OSTI]

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

Boyer, Edmond

275

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

E-Print Network [OSTI]

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

Mercure, J -F

2012-01-01T23:59:59.000Z

276

Bayesian Modeling and Analysis for Gradients in Spatiotemporal Processes  

E-Print Network [OSTI]

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

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

2015-01-01T23:59:59.000Z

277

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

278

Model Quality Control Matrix Tools for Defining Commissioning Process  

E-Print Network [OSTI]

2000 andXp. #0;?#0;? MS-Excel version is 2000 and 2002. ?The tool was developed with MS-Excel using macro program, one of the most popular software. MQC tool software _ continued Structure of MQC MatrixStructure of MQC Matrix ?CxProcess?sheet Aspects...

Nakahara, N.; Onojima, H.; Kamitani, K.

2004-01-01T23:59:59.000Z

279

Sustainable Manufacturing via Multi-Scale, Physics-Based Process Modeling and Manufacturing-Informed Design, April 2013  

Broader source: Energy.gov [DOE]

Sustainable Manufacturing via Multi-Scale, Physics-Based Process Modeling and Manufacturing-Informed Design

280

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

E-Print Network [OSTI]

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

Russell, Kelly

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

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

282

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

E-Print Network [OSTI]

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

Young, R. Michael

283

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

E-Print Network [OSTI]

A Logistic Branching Process Alternative to the Wright-Fisher Model R. B. Campbell Department, Population Regulation Introduction Most of the theoretical work in population genetics is based on the Wright approximation to the Wright-Fisher model. A logistic branching process is introduced in order to limit

Campbell, Russell Bruce

284

Modeling of the oxygen transfer in the respiratory process Sebastien Martin  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

285

Context-Aware Interaction Models in Cross-Organizational Processes Florian Skopik, Daniel Schall, Schahram Dustdar  

E-Print Network [OSTI]

Context-Aware Interaction Models in Cross-Organizational Processes Florian Skopik, Daniel Schall for external constraints such as availability of material, delivery dates, and efficiency of humans- volvement, cross-organizational process models, trust I. INTRODUCTION Small and medium-sized companies

Dustdar, Schahram

286

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

E-Print Network [OSTI]

Towards model-based control of a steam Rankine process for engine waste heat recovery Johan Peralez steam process for exhaust gas heat recovery from a spark-ignition engine, focusing in particular results on a steam process for SI engines, [3] on generic control issues and [4] which provides a comp

Paris-Sud XI, Université de

287

An enhanced Lemaitre model formulation for materials processing damage computation  

E-Print Network [OSTI]

are presented and discussed to deal with complex multiaxial configurations ­ such as multi-stages bulk forming loading, involving crack closure effects. - Simple parameters identification: whatever the damage model used, the identification of damage parameters is an important issue. Most of the time

Boyer, Edmond

288

Process-Based Cost Modeling to Support Target Value Design  

E-Print Network [OSTI]

134 A.4 Google – SketchUp ProManage 2009 file format. 3D SketchUp 6.0 models of a towerS KETCH U P P RO 6.0 SketchUp Pro 6.0 has limited functions

Nguyen, Hung Viet

2010-01-01T23:59:59.000Z

289

Neural Networks for Post-processing Model Output: Caren Marzban  

E-Print Network [OSTI]

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

Marzban, Caren

290

Model-based Processing of Microcantilever Sensor Arrays  

SciTech Connect (OSTI)

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

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

2005-04-27T23:59:59.000Z

291

A Human Performance Modeling System for Process Safety Operations  

E-Print Network [OSTI]

this in the future, as well. When an abnormal process situation occurs, human intervention by responding to the alarm is often the last line of defense before a Safety Instrumented System (SIS) takes action to trip or shut down the system. If SIS takes... need to be followed by a terminal activity (get or put). Table 2. Codes for movement elements (small objects) 25 Movement MOD Body Part Distance Moved M1 1 Finger (hinged at knuckle) 1? M2 2 Hand (hinged at wrist) 2? M3 3 Arm (hinged...

Harputlu, Emrah 1986-

2013-01-02T23:59:59.000Z

292

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

E-Print Network [OSTI]

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

Garcia-Alfaro, Joaquin

293

A Decentralized Broker Architecture for Collaborative Business Process Modelling and Enactment  

E-Print Network [OSTI]

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

Bauer, Bernhard

294

Infinite Hidden Markov Models via the Hierarchical Dirichlet Process Matthew J. Beal  

E-Print Network [OSTI]

Infinite Hidden Markov Models via the Hierarchical Dirichlet Process Matthew J. Beal (presenting author) beal@cs.toronto.edu Yee Whye Teh ywteh@eecs.berkeley.edu Michael I. Jordan jordan model (iHMM) of Beal et al. [2]. The iHMM is a hidden Markov model (HMM) in which the number of hidden

Beal, Matt J.

295

Spatio-temporal statistical models with applications to atmospheric processes  

SciTech Connect (OSTI)

This doctoral dissertation is presented as three self-contained papers. An introductory chapter considers traditional spatio-temporal statistical methods used in the atmospheric sciences from a statistical perspective. Although this section is primarily a review, many of the statistical issues considered have not been considered in the context of these methods and several open questions are posed. The first paper attempts to determine a means of characterizing the semiannual oscillation (SAO) spatial variation in the northern hemisphere extratropical height field. It was discovered that the midlatitude SAO in 500hPa geopotential height could be explained almost entirely as a result of spatial and temporal asymmetries in the annual variation of stationary eddies. It was concluded that the mechanism for the SAO in the northern hemisphere is a result of land-sea contrasts. The second paper examines the seasonal variability of mixed Rossby-gravity waves (MRGW) in lower stratospheric over the equatorial Pacific. Advanced cyclostationary time series techniques were used for analysis. It was found that there are significant twice-yearly peaks in MRGW activity. Analyses also suggested a convergence of horizontal momentum flux associated with these waves. In the third paper, a new spatio-temporal statistical model is proposed that attempts to consider the influence of both temporal and spatial variability. This method is mainly concerned with prediction in space and time, and provides a spatially descriptive and temporally dynamic model.

Wikle, C.K.

1996-12-31T23:59:59.000Z

296

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

SciTech Connect (OSTI)

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

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

1988-07-01T23:59:59.000Z

297

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

SciTech Connect (OSTI)

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

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

1997-12-31T23:59:59.000Z

298

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

E-Print Network [OSTI]

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

Hebblewhite, Mark

299

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

E-Print Network [OSTI]

groups and modern technology, such as the use of fractal patterns in African architecture, art and Sustainability Wednesday, March 6, 2013 | 6:30 pm | Kane Hall, Room 120 Computational sciences provide us applying computing to problems in social justice and sustainability, but using those challenges as drivers

Queitsch, Christine

300

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

E-Print Network [OSTI]

Table 1. Enabling Conditions for PEPS Success in China andsuccesses and the barriers confronting each, and concludes with several lessons and “enabling conditions”success in China than it did in Mexico. A number of conditions

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

2006-01-01T23:59:59.000Z

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.


301

Peace Corps Volunteers and the Boundaries of Bottom-up Development  

E-Print Network [OSTI]

countries. As stated by Amartya Sen, “If freedom is whatonly makes sense. Amartya Sen, Development as freedom (Newof Kentucky, 1997. Sen, Amartya. Development as Freedom [in

Schuckman, Hugh Erik

2012-01-01T23:59:59.000Z

302

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

303

Peace Corps Volunteers and the Boundaries of Bottom-up Development  

E-Print Network [OSTI]

agricultural volunteers in Africa sidestepped these organizationally initiated projects just as Peace Corps Mongolia volunteers avoided showing the Alcohol Task Force film “

Schuckman, Hugh Erik

2012-01-01T23:59:59.000Z

304

The Bottom-Up Approach forThermoelectric Nanocomposites, plusƒ |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClientDesignOfficeThe 21st

305

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarre BiomassTHIS PAGEFairfield(CTI PFAN) | Open

306

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment(October-DecemberBasedToward a MoreA RisingA1AFrom The

307

Enzyme Design From the Bottom Up: An Active Nickel Electrocatalyst with a  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy and Assistance Environmental

308

A Computational Strategy to Analyze Label-Free Temporal Bottom-up  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011 Mon,Electrocatalysis |Framework GlobalProteomics

309

An integrated top-down and bottom-up proteomic approach to characterize the  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mail ShareRed CrossAn IridatePrinceton Plasma

310

An integrated top-down and bottom-up strategy for broadly characterizing  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mail ShareRed CrossAn IridatePrinceton Plasmaprotein

311

Engineering Process Model for High-Temperature Electrolysis System Performance Evaluation  

SciTech Connect (OSTI)

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

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

2005-11-01T23:59:59.000Z

312

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

E-Print Network [OSTI]

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

Miller, Bruno

2004-01-01T23:59:59.000Z

313

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

E-Print Network [OSTI]

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

Kanno,Jinko

314

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

SciTech Connect (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

315

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

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

316

MANAGING AUSTRALIA'S PROTECTED AREAS a review of visitor management models, frameworks and processes  

E-Print Network [OSTI]

MANAGING AUSTRALIA'S PROTECTED AREAS a review of visitor management models, frameworks and processes Greg Brown, Barbara Koth, Glenn Kreag & Delene Weber #12;MANAGING AUSTRALIA'S PROTECTED AREAS ii National Library of Australia Cataloguing in Publication Data Managing Australia's protected areas : review

Brown, Gregory G.

317

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

E-Print Network [OSTI]

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

Bieszczad, Jerry, 1971-

2000-01-01T23:59:59.000Z

318

Testing emotion dysregulation as a moderator in an interpersonal process model of intimacy in couples  

E-Print Network [OSTI]

-disclosure by one partner, coupled with empathic responding by the other partner, results in greater subjective emotional intimacy. Previous studies have examined this interpersonal process model in a sample of community couples in committed romantic relationships...

Herrington, Rachael

2009-05-15T23:59:59.000Z

319

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

SciTech Connect (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

320

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

SciTech Connect (OSTI)

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

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

2014-05-20T23:59:59.000Z

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

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

SciTech Connect (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

322

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

E-Print Network [OSTI]

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

323

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

E-Print Network [OSTI]

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

Ulm, Universität

324

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

E-Print Network [OSTI]

and Jeppsson, 2006), including sewage systems and surrounding land use. From the methodological viewpoint on the applications of modelling and automation to water and wastewater treatment processes. The session, under sludge processes, to which unconventional and innovative control strategies were applied. But there were

325

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

E-Print Network [OSTI]

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

Grujicic, Mica

326

Patterns for Business Object Model Integration in Process-Driven and Service-Oriented Architectures  

E-Print Network [OSTI]

Patterns for Business Object Model Integration in Process-Driven and Service-Oriented Architectures-Mail: zdun@acm.org Service-oriented architectures often have the goal to integrate various systems of one of various external systems into a consistent process-driven and service- oriented architecture. Introduction

Zdun, Uwe

327

Engineering Service Oriented Applications: From StPowla Processes to SRML Models  

E-Print Network [OSTI]

for Service Oriented Architectures, and STPOWLA as a process-oriented orchestration approach that separates of the business logic [8]. A Service Oriented Architecture (SOA) allows services with heterogeneous imEngineering Service Oriented Applications: From StPowla Processes to SRML Models Laura Bocchi

Reiff-Marganiec, Stephan

328

Advanced modeling of large-scale oxy-fuel combustion processes  

E-Print Network [OSTI]

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

Yin, Chungen

329

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

E-Print Network [OSTI]

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

Zhang, YuMing

330

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

E-Print Network [OSTI]

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

Cohen, Israel

331

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

E-Print Network [OSTI]

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

Salvucci, Dario D.

332

Parameterization of urban sub-grid scale processes in global atmospheric chemistry models  

E-Print Network [OSTI]

-scale models. (submitted to Journal of Geophysical Research) #12;2 1. Introduction Atmospheric pollution has1 Parameterization of urban sub-grid scale processes in global atmospheric chemistry models Josep such as meteorology. Effective emissions may be Ã?agedÃ? emissions of primary pollutants or actual production

333

An Agile Process for the Creation of Conceptual Models from Content Descriptions  

E-Print Network [OSTI]

An Agile Process for the Creation of Conceptual Models from Content Descriptions Sebastian Bossung,hw.sehring,h.carl,j.w.schmidt}@tuhh.de Hamburg University of Technology, Germany, Sustainable Content Logistics Centre, Hamburg, Germany Abstract. It is widely accepted practice to build domain models as a conceptual basis for software systems

334

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

E-Print Network [OSTI]

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

Sabahi, Parsa

2012-02-14T23:59:59.000Z

335

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

SciTech Connect (OSTI)

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

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

1998-04-01T23:59:59.000Z

336

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

E-Print Network [OSTI]

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

Theodore Liolios

2003-05-09T23:59:59.000Z

337

Modeling of thermally driven hydrological processes in partially saturated fractured rock  

SciTech Connect (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

338

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

SciTech Connect (OSTI)

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

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

2013-09-01T23:59:59.000Z

339

Methodology for Modeling Building Energy Performance across the Commercial Sector  

SciTech Connect (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

340

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

SciTech Connect (OSTI)

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

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

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.


341

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

SciTech Connect (OSTI)

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

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

2014-08-14T23:59:59.000Z

342

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

343

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

SciTech Connect (OSTI)

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

Benioff, P.A.

1981-01-01T23:59:59.000Z

344

A predictive model for the combustion process in dual fuel engines  

SciTech Connect (OSTI)

A multi-zone model has been developed for the prediction of the combustion processes in dual fuel engines and some of their performance features. The consequences of the interaction between the gaseous and the diesel fuels and the resulting modification to the combustion processes are considered. A reacting zone has been incorporated in the model to describe the partial oxidation of the gaseous fuel-air mixture while detailed kinetic schemes are employed to describe the oxidation of the gaseous fuel, right from the start of compression to the end of the expansion process. The associated formation and concentrations of exhaust emissions are correspondingly established. The model can predict the onset of knock as well as the operating features and emissions for the more demanding case of light load performance. Predicted values for methane operation show good agreement with corresponding experimental values.

Liu, Z.; Karim, G.A. [Univ. of Calgary, Alberta (Canada)

1995-12-31T23:59:59.000Z

345

Modeling the coupled mechanics, transport, and growth processes in collagen tissues.  

SciTech Connect (OSTI)

The purpose of this project is to develop tools to model and simulate the processes of self-assembly and growth in biological systems from the molecular to the continuum length scales. The model biological system chosen for the study is the tendon fiber which is composed mainly of Type I collagen fibrils. The macroscopic processes of self-assembly and growth at the fiber scale arise from microscopic processes at the fibrillar and molecular length scales. At these nano-scopic length scales, we employed molecular modeling and simulation method to characterize the mechanical behavior and stability of the collagen triple helix and the collagen fibril. To obtain the physical parameters governing mass transport in the tendon fiber we performed direct numerical simulations of fluid flow and solute transport through an idealized fibrillar microstructure. At the continuum scale, we developed a mixture theory approach for modeling the coupled processes of mechanical deformation, transport, and species inter-conversion involved in growth. In the mixture theory approach, the microstructure of the tissue is represented by the species concentration and transport and material parameters, obtained from fibril and molecular scale calculations, while the mechanical deformation, transport, and growth processes are governed by balance laws and constitutive relations developed within a thermodynamically consistent framework.

Holdych, David J.; Nguyen, Thao D.; Klein, Patrick A.; in't Veld, Pieter J.; Stevens, Mark Jackson

2006-11-01T23:59:59.000Z

346

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

SciTech Connect (OSTI)

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

Thorsness, C. B., LLNL

1997-01-21T23:59:59.000Z

347

AGU Chapman Conference Hydrogeologic Processes: Building and Testing Atomistic- to Basin-Scale Models  

SciTech Connect (OSTI)

This report presents details of the Chapman Conference given on June 6--9, 1994 in Lincoln, New Hampshire. This conference covered the scale of processes involved in coupled hydrogeologic mass transport and a concept of modeling and testing from the atomistic- to the basin- scale. Other topics include; the testing of fundamental atomic level parameterizations in the laboratory and field studies of fluid flow and mass transport and the next generation of hydrogeologic models. Individual papers from this conference are processed separately for the database.

Weaver, B. [American Geophysical Union, Washington, DC (United States)

1994-12-31T23:59:59.000Z

348

Dynamic Inversion for Hydrological Process Monitoring with Electrical Resistance Tomography Under Model Uncertainty  

SciTech Connect (OSTI)

We propose an approach for imaging the dynamics of complex hydrological processes. The evolution of electrically conductive fluids in porous media is imaged using time-lapse electrical resistance tomography. The related dynamic inversion problem is solved using Bayesian filtering techniques, that is, it is formulated as a sequential state estimation problem in which the target is an evolving posterior probability density of the system state. The dynamical inversion framework is based on the state space representation of the system, which involves the construction of a stochastic evolution model and an observation model. The observation model used in this paper consists of the complete electrode model for ERT, with Archie's law relating saturations to electrical conductivity. The evolution model is an approximate model for simulating flow through partially saturated porous media. Unavoidable modeling and approximation errors in both the observation and evolution models are considered by computing approximate statistics for these errors. These models are then included in the construction of the posterior probability density of the estimated system state. This approximation error method allows the use of approximate - and therefore computationally efficient - observation and evolution models in the Bayesian filtering. We consider a synthetic example and show that the incorporation of an explicit model for the model uncertainties in the state space representation can yield better estimates than a frame-by-frame imaging approach.

Lehikoinen, A.; Huttunen, J.M.J.; Finsterle, S.; Kowalsky, M.B.; Kaipio, J.P.

2009-08-01T23:59:59.000Z

349

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

SciTech Connect (OSTI)

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

350

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

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

351

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

352

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

SciTech Connect (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

353

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

SciTech Connect (OSTI)

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

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

2014-03-01T23:59:59.000Z

354

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

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

355

Model independent determination of the light-cone wave functions for exclusive processes  

E-Print Network [OSTI]

We present a method to compute, by numerical simulations of lattice QCD, the light-cone wave functions which enter exclusive processes at large momentum transfer, such as electromagnetic elastic scatterings, or exclusive semi-leptonic decays as B -> pi (B -> rho) and radiative decays as B -> K* gamma. The method is based on first principles and does not require any model assumption.

Aglietti, U; Corbò, G; Franco, E; Martinelli, G; Silvestrini, L

1998-01-01T23:59:59.000Z

356

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

E-Print Network [OSTI]

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

Kallsen, Jan

357

Department of Informatics and Mathematical Modeling / Intelligent Signal Processing Section CIP Workshop June 10  

E-Print Network [OSTI]

Department of Informatics and Mathematical Modeling / Intelligent Signal Processing Section CIP Technical University of Denmark #12;CIP Workshop June 10 ISP / DTU Informatics / Ling Feng Outline 1.Conclusion #12;CIP Workshop June 10 ISP / DTU Informatics / Ling Feng What is Cognitive Component Analysis

358

Development and Verification of a Comprehensive Community Model for Physical Processes in the Nearshore Ocean  

E-Print Network [OSTI]

processes in the nearshore ocean by developing a model for waves and resulting radiation stresses and mass in the Nearshore Ocean James T. Kirby , John Allen ¡ , Thomas Drake ¢ , Steve Elgar £ , Robert T. Guza ¤ , Dan - calculation of second- and third-moment wave properties, including frequency- directional spectra, radiation

Kirby, James T.

359

Macroscale Properties of Porous Media from a Network Model of Bio lm Processes  

E-Print Network [OSTI]

Macroscale Properties of Porous Media from a Network Model of Bio#12;lm Processes Brian J. Suchomel porosity and permeability changes in a porous medium as a result of bio#12;lm buildup in the pore spaces. A bio#12;lm consists of bacteria and extracellular polymeric substances (EPS) bonded together

360

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

E-Print Network [OSTI]

Kinetic Modeling for a Semi-Interpenetrating Polymer Network (SIPN) Process Advisor: Lorenz T A ·Networking component Polymer A chain Linear Polymer B Grafted Polymer B Grafting/ Crosslinking site Fig 3 B ·Grafted chain ·Homo- polymer Part 2: Component A ·Networking component Polymer A chain Linear

Grossmann, Ignacio 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.


361

Diode Laser Welding of ABS: Experiments and Process Modelling , E.CICALA1,2  

E-Print Network [OSTI]

Diode Laser Welding of ABS: Experiments and Process Modelling M.ILIE1,3 , E.CICALA1,2 , D.GREVEY2 for Welding and Material Testing, 30, Mihai Viteazul Bv, 300222 Timisoara, Romania Abstract In the present.ilie@mec.upt.ro, milie@isim.ro Keywords: Laser welding; Semitransparent Polymers; Numerical simulation; Experimental

Paris-Sud XI, Université de

362

Modeling Process-Driven and Service-Oriented Architectures Using Patterns and Pattern Primitives  

E-Print Network [OSTI]

Modeling Process-Driven and Service-Oriented Architectures Using Patterns and Pattern Primitives Service-oriented architectures (SOA) are an architectural style in which all functions, or services chentrich@csc.com Austria zdun@infosys.tuwien.ac.at dustdar@infosys.tuwien.ac.at Abstract Service-oriented

Zdun, Uwe

363

Equidimensional modelling of ow and transport processes in fractured porous systems I  

E-Print Network [OSTI]

decomposition into a fracture problem and a matrix problem. This decoupled treatment of fracture and matrix;erent hydraulic properties of fractures and the porous matrix lead to very heterogeneous ow and trans1 Equidimensional modelling of ow and transport processes in fractured porous systems I Susanna

Cirpka, Olaf Arie

364

Early Nervous Systems: Theoretical background and a preliminary model of neuronal processes  

E-Print Network [OSTI]

Early Nervous Systems: Theoretical background and a preliminary model of neuronal processes Ot de cells evolved to connect pre-existing sensors and effectors. This proposal was strongly influenced brain as Holland (2003) called it, without fast and specialized connections between specific sensors

van Elburg, Ronald A.J.

365

IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement with Improved  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement-based approach to enhance noisy speech using an analysis-synthesis framework. Target speech is reconstructed. Ini- tially, we propose an analysis-synthesis framework for speech enhancement based on harmonic noise

So, Hing-Cheung

366

Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models  

E-Print Network [OSTI]

Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models Dario D dario+@cs.cmu.edu ABSTRACT While current eye-based interfaces offer enormous potential for efficient human-computer interaction, they also manifest the difficulty of inferring intent from user eye

Salvucci, Dario D.

367

High Accuracy 65nm OPC Verification: Full Process Window Model vs. Critical Failure ORC  

E-Print Network [OSTI]

High Accuracy 65nm OPC Verification: Full Process Window Model vs. Critical Failure ORC Amandine of Mask Rule Checking (MRC) and Optical Rule Checking (ORC) have become indispensable tools for ensuring, a technique known as Critical Failure ORC (CFORC) was introduced that uses optical parameters from aerial

Boyer, Edmond

368

A Design Model for Open Distributed Processing Systems Marten van Sinderen1  

E-Print Network [OSTI]

A Design Model for Open Distributed Processing Systems Marten van Sinderen1 , Luís Ferreira Pires1 these standards and consequently may decrease their price. The design and implementation of a distributed system, pires, vissers, katoen}@cs.utwente.nl Abstract This paper proposes design concepts that allow

van Sinderen, Marten

369

A Design Model for Open Distributed Processing Systems Marten van Sinderen1  

E-Print Network [OSTI]

A Design Model for Open Distributed Processing Systems Marten van Sinderen1 , Luís Ferreira Pires1 and consequently may decrease their price. The design and implementation of a distributed system is a complex, pires, vissers, katoen}@cs.utwente.nl Abstract This paper proposes design concepts that allow

Pires, Luís Ferreira

370

Modeling and the Adaptive Solution of CVD Fiber-Coating Processes  

E-Print Network [OSTI]

guidance for improving the process. 1 Introduction Ceramic composites are designed for use in high permeate the matrix and react with the bers to weaken the composite. Coating the bers can protect them from, New York 12180, USA Abstract We develop a mathematical model for the coating of ceramic bers

Adjerid, Slimane

371

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

E-Print Network [OSTI]

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

Dragotti, Pier Luigi

372

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

E-Print Network [OSTI]

Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process Abstract: The study investigates water quality pollution impacts on urbanization by analyzing temporal, more populations were moved from rural area into urban area, and more costs were input in water quality

Yu, Qian

373

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

E-Print Network [OSTI]

deformations. The process can be modelled as a coupled thermodynamical/mechanical problem with corresponding] external force on plunger Fg [N] force of glass on plunger L [m] characteristic length T [K] temperature Tg ] plunger velocity cp [J kg-1 K-1 ] specific heat g [m s-2 ] gravitational acceleration p [Pa] pressure rp

Eindhoven, Technische Universiteit

374

Games, Role-Playing, Tools and Models as a Learning Process to Simulate Groundwater Management Negotiation  

E-Print Network [OSTI]

Games, Role-Playing, Tools and Models as a Learning Process to Simulate Groundwater Management in answering this question at a local level. A negotiation support simulator for a regional project is proposed which includes the numerous actors involved in water resource management projects. This simulator

Paris-Sud XI, Université de

375

CONTROL OF AN IDEAL ACTIVATED SLUDGE PROCESS IN WASTEWATER TREATMENT VIA AN ODE-PDE MODEL  

E-Print Network [OSTI]

CONTROL OF AN IDEAL ACTIVATED SLUDGE PROCESS IN WASTEWATER TREATMENT VIA AN ODE-PDE MODEL STEFAN treatment plants, consists basically of a biological reactor followed by a sedi- mentation tank, which has. 1. Introduction The need for efficient wastewater treatment plants in terms of low effluent con

Diehl, Stefan

376

PROCESS MODELING AND ANALYSIS FOR RECOVERY OF PUBE SOURCES AT LOS ALAMOS  

SciTech Connect (OSTI)

Los Alamos National Laboratory maintains one of the premier plutonium processing facilities in the country. The plutonium facility supports several defense- and nondefense-related missions. This paper describes process-modeling efforts focused on the operations related to the Radioactive Source Recovery Program, which recovers the plutonium from plutonium-beryllium neutron sources. This program accomplishes at least two goals: it is evidence of good stewardship of a national resource, plutonium, and destroys a potential health hazard, the neutron source, by separating the plutonium from the beryllium in sources that are no longer being used in various industries or the military. We examine the processes related to source recovery operations in terms of throughput, ionizing radiation exposure to workers, and mass balances using two discrete-event simulation tools: Extend{trademark}, which is commercially available; and ProMoS, which is in-house software specifically tailored for modeling nuclear-materials operations.

D. KORNREICH; ET AL

2000-11-01T23:59:59.000Z

377

Gas Metal Arc Welding Process Modeling and Prediction of Weld Microstructure in MIL A46100 Armor-Grade  

E-Print Network [OSTI]

Gas Metal Arc Welding Process Modeling and Prediction of Weld Microstructure in MIL A46100 Armor metal arc welding (GMAW) butt-joining process has been modeled using a two-way fully coupled, transient in the form of heat, and the mechanical material model of the workpiece and the weld is made temperature

Grujicic, Mica

378

Potts model based on a Markov process computation solves the community structure problem effectively  

E-Print Network [OSTI]

Potts model is a powerful tool to uncover community structure in complex networks. Here, we propose a new framework to reveal the optimal number of communities and stability of network structure by quantitatively analyzing the dynamics of Potts model. Specifically we model the community structure detection Potts procedure by a Markov process, which has a clear mathematical explanation. Then we show that the local uniform behavior of spin values across multiple timescales in the representation of the Markov variables could naturally reveal the network's hierarchical community structure. In addition, critical topological information regarding to multivariate spin configuration could also be inferred from the spectral signatures of the Markov process. Finally an algorithm is developed to determine fuzzy communities based on the optimal number of communities and the stability across multiple timescales. The effectiveness and efficiency of our algorithm are theoretically analyzed as well as experimentally validate...

Li, Hui-Jia; Wu, Ling-Yun; Zhang, Junhua; Zhang, Xiang-Sun

2015-01-01T23:59:59.000Z

379

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

380

Improving the representation of terrestrial ecosystem processes in Earth system models to increase the quality of climate model projections and inform DOE's energy decisions  

E-Print Network [OSTI]

Improving the representation of terrestrial ecosystem processes in Earth system models to increase results are incorporated into Earth system models to improve climate projections. e overarching goal of TES is to improve the representation of terrestrial ecosystem processes in Earth system models

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

Process model and capacity upgrades of the CTI-4000 liquid helium coldbox  

SciTech Connect (OSTI)

Fermi National Accelerator Laboratory (FNAL) is in the process of re-commissioning a vintage CTI-4000 liquid helium coldbox, initially supplied by CTI-Cryogenics/Sulzer to Los Alamos in 1979. The coldbox was originally designed as a liquid helium refrigerator with capacity of ?1200 W at nominal 4-K. The process utilized LN{sub 2} precooling, in-series operation of two centrifugal gas bearing turboexpanders and final Joule-Thomson (J-T) expansion. At FNAL, the coldbox will be utilized as a liquefier to support 2-K operations. A process model was developed to aid in the upgrade decisions and used to determine the nominal capacity of the liquefier. Capacity upgrades are achieved by safely utilizing the internal LN2 precooler, the addition of a 3-inch reciprocating wet expansion engine and increasing the overall process pressure by recertifying two limiting pressure vessels to a higher MAWP.

Hansen, Benjamin; Klebaner, Arkadiy [Fermilab, P.O. Box 500, Batavia, IL 60510 (United States); Quack, Hans [Technische Universitaet Dresden, Dresden (Germany)

2014-01-29T23:59:59.000Z

382

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

SciTech Connect (OSTI)

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

383

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

SciTech Connect (OSTI)

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

M. Wasiolek; P. Rogers

2004-10-27T23:59:59.000Z

384

A simplified model of aerosol removal by natural processes in reactor containments  

SciTech Connect (OSTI)

Simplified formulae are developed for estimating the aerosol decontamination that can be achieved by natural processes in the containments of pressurized water reactors and in the drywells of boiling water reactors under severe accident conditions. These simplified formulae were derived by correlation of results of Monte Carlo uncertainty analyses of detailed models of aerosol behavior under accident conditions. Monte Carlo uncertainty analyses of decontamination by natural aerosol processes are reported for 1,000, 2,000, 3,000, and 4,000 MW(th) pressurized water reactors and for 1,500, 2,500, and 3,500 MW(th) boiling water reactors. Uncertainty distributions for the decontamination factors and decontamination coefficients as functions of time were developed in the Monte Carlo analyses by considering uncertainties in aerosol processes, material properties, reactor geometry and severe accident progression. Phenomenological uncertainties examined in this work included uncertainties in aerosol coagulation by gravitational collision, Brownian diffusion, turbulent diffusion and turbulent inertia. Uncertainties in aerosol deposition by gravitational settling, thermophoresis, diffusiophoresis, and turbulent diffusion were examined. Electrostatic charging of aerosol particles in severe accidents is discussed. Such charging could affect both the coagulation and deposition of aerosol particles. Electrostatic effects are not considered in most available models of aerosol behavior during severe accidents and cause uncertainties in predicted natural decontamination processes that could not be taken in to account in this work. Median (50%), 90 and 10% values of the uncertainty distributions for effective decontamination coefficients were correlated with time and reactor thermal power. These correlations constitute a simplified model that can be used to estimate the decontamination by natural aerosol processes at 3 levels of conservatism. Applications of the model are described.

Powers, D.A.; Washington, K.E.; Sprung, J.L. [Sandia National Labs., Albuquerque, NM (United States); Burson, S.B. [Nuclear Regulatory Commission, Washington, DC (United States)

1996-07-01T23:59:59.000Z

385

Validation of the SEPHIS Program for the Modeling of the HM Process  

SciTech Connect (OSTI)

The SEPHIS computer program is currently being used to evaluate the effect of all process variables on the criticality safety of the HM 1st Uranium Cycle process in H Canyon. The objective of its use has three main purposes. (1) To provide a better technical basis for those process variables that do not have any realistic effect on the criticality safety of the process. (2) To qualitatively study those conditions that have been previously recognized to affect the nuclear safety of the process or additional conditions that modeling has indicated may pose a criticality safety issue. (3) To judge the adequacy of existing or future neutron monitors locations in the detection of the initial stages of reflux for specific scenarios.Although SEPHIS generally over-predicts the distribution of uranium to the organic phase, it is a capable simulation tool as long as the user recognizes its biases and takes special care when using the program for scenarios where the prediction bias is non-conservative. The temperature coefficient used by SEPHIS is poor at predicting effect of temperature on uranium extraction for the 7.5 percent TBP used in the HM process. Therefore, SEPHIS should not be used to study temperature related scenarios. However, within normal operating temperatures when other process variables are being studied, it may be used. Care must be is given to understanding the prediction bias and its effect on any conclusion for the particular scenario that is under consideration. Uranium extraction with aluminum nitrate is over-predicted worse than for nitric acid systems. However, the extraction section of the 1A bank has sufficient excess capability that these errors, while relatively large, still allow SEPHIS to be used to develop reasonable qualitative assessments for reflux scenarios. However, high losses to the 1AW stream cannot be modeled by SEPHIS.

Kyser, E.A.

1998-12-17T23:59:59.000Z

386

Experimental and computational investigation of end-milling and development of a simulation model describing the machining process  

E-Print Network [OSTI]

1 Experimental and computational investigation of end-milling and development of a simulation model simulation model, which allows the selection of optimum cutting conditions in end-milling processes, taking

Aristomenis, Antoniadis

387

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

SciTech Connect (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

388

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

SciTech Connect (OSTI)

A generalized three dimensional computational model based on unied formulation of electrode- electrolyte-electrode system of a electric double layer supercapacitor has been developed. The model accounts for charge transport across the solid-liquid system. This formulation based on volume averaging process is a widely used concept for the multiphase ow equations ([28] [36]) and is analogous to porous media theory typically employed for electrochemical systems [22] [39] [12]. This formulation is extended to the electrochemical equations for a supercapacitor in a consistent fashion, which allows for a single-domain approach with no need for explicit interfacial boundary conditions as previously employed ([38]). In this model it is easy to introduce the spatio-temporal variations, anisotropies of physical properties and it is also conducive for introducing any upscaled parameters from lower length{scale simulations and experiments. Due to the irregular geometric congurations including porous electrode, the charge transport and subsequent performance characteristics of the super-capacitor can be easily captured in higher dimensions. A generalized model of this nature also provides insight into the applicability of 1D models ([38]) and where multidimensional eects need to be considered. In addition, simple sensitivity analysis on key input parameters is performed in order to ascertain the dependence of the charge and discharge processes on these parameters. Finally, we demonstarted how this new formulation can be applied to non-planar supercapacitors

Allu, Srikanth [ORNL] [ORNL; Velamur Asokan, Badri [Exxon Mobil Research and Engineering] [Exxon Mobil Research and Engineering; Shelton, William A [Louisiana State University] [Louisiana State University; Philip, Bobby [ORNL] [ORNL; Pannala, Sreekanth [ORNL] [ORNL

2014-01-01T23:59:59.000Z

389

Process Modeling Phase I Summary Report for the Advanced Gas Reactor Fuel Development and Qualification Program  

SciTech Connect (OSTI)

This report summarizes the results of preliminary work at Oak Ridge National Laboratory (ORNL) to demonstrate application of computational fluid dynamics modeling to the scale-up of a Fluidized Bed Chemical Vapor Deposition (FBCVD) process for nuclear fuels coating. Specifically, this work, referred to as Modeling Scale-Up Phase I, was conducted between January 1, 2006 and March 31, 2006 in support of the Advanced Gas Reactor (AGR) Program. The objective was to develop, demonstrate and "freeze" a version of ORNL's computational model of the TRI ISOtropic (TRISO) fuel-particle coating process that can be specifically used to assist coater scale-up activities as part of the production of AGR-2 fuel. The results in this report are intended to serve as input for making decisions about initiating additional FBCVD modeling work (referred to as Modeling Scale-Up Phase II) in support of AGR-2. The main computational tool used to implement the model is the general-purpose multiphase fluid-dynamics computer code known as MFIX (Multiphase Flow with Interphase eXchanges), which is documented in detail on the DOE-sponsored website http://www.mfix.org. Additional computational tools are also being developed by ORNL for post-processing MFIX output to efficiently summarize the important information generated by the coater simulations. The summarized information includes quantitative spatial and temporal measures (referred to as discriminating characteristics, or DCs) by which different coater designs and operating conditions can be compared and correlated with trends in product quality. The ORNL FBCVD modeling work is being conducted in conjunction with experimental coater studies at ORNL with natural uranium CO (NUCO) and surrogate fuel kernels. Data are also being obtained from ambient-temperature, spouted-bed characterization experiments at the University of Tennessee and theoretical studies of carbon and silicon carbide chemical vapor deposition kinetics at Iowa State University. Prior to the current scale-up activity, considerable effort has gone in to adapting the MFIX code to incorporate the unique features of fuel coating reactors and also in validating the resulting simulation features with experimental observations. Much of this work is documented in previous AGR reports and publications (Pannala et al., 2004, Pannala et al., 2005, Boyalakuntla et al., 2005a, Boyalakuntla et al., 2005b and Finney et al., 2005). As a result of the previous work described above, the ORNL coater model now has the capability for simulating full spatio-temporal details of the gas-particle hydrodynamics and gas-particle heat and mass transfer in the TRISO coater. This capability provides a great deal of information about many of the processes believed to control quality, but the model is not yet sufficiently developed to fully predict coating quality for any given coater design and/or set of operating conditions because the detailed chemical reaction kinetics needed to make the model fully predictive are not yet available. Nevertheless, the model at its current stage of development already provides the most comprehensive and detailed quantitative information available about gas flows, solid flows, temperatures, and species inside the coater during operation. This level of information ought to be highly useful in expediting the scale-up process (e.g., in correlating observations and minimizing the number of pilot-scale tests required). However, previous work had not yet demonstrated that the typical design and/or operating changes known to affect product quality at the lab scale could be clearly discriminated by the existing model. The Modeling Scale-Up Phase I work was initiated to produce such a demonstration, and two detailed examples are discussed in this report.

Pannala, Sreekanth [ORNL; Daw, C Stuart [ORNL; Boyalakuntla, Dhanunjay S [ORNL; FINNEY, Charles E A [ORNL

2006-09-01T23:59:59.000Z

390

A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring  

SciTech Connect (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

391

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

SciTech Connect (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

392

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

SciTech Connect (OSTI)

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

393

QCD Corrections to Vector-Boson Fusion Processes in Warped Higgsless Models  

E-Print Network [OSTI]

We discuss the signatures of a representative Higgsless model with ideal fermion delocalization in vector-boson fusion processes, focusing on the gold- and silver-plated decay modes of the gauge bosons at the CERN-Large Hadron Collider. For this purpose, we have developed a fully-flexible parton-level Monte-Carlo program, which allows for the calculation of cross sections and kinematic distributions within experimentally feasible selection cuts at NLO-QCD accuracy. We find that Kaluza-Klein resonances give rise to very distinctive distributions of the decay leptons. Similar to the Standard Model case, within the Higgsless scenario the perturbative treatment of the vector-boson scattering processes is under excellent control.

C. Englert; B. Jager; D. Zeppenfeld

2008-12-13T23:59:59.000Z

394

Thermonuclear Processes for Three Body System in the Potential Cluster Model  

E-Print Network [OSTI]

The manuscript is devoted to the description of the results obtained in the frame of the modified potential cluster model with the classification of states according to Young tableaux for neutron and proton radiative capture processes on 2H at thermal and astrophysical energies. It demonstrates methods of application that were obtained on the basis of phase shift analysis and characteristics of the bound states of 2H potentials for consideration of the radiative capture processes. First reaction of the proton capture directly takes part in the pp solar cycle, where it is the second reaction. The neutron capture is not a part of usual thermonuclear cycles in the Sun and stars, but can take part in the processes of primordial nucleosynthesis, following at formation and evolution of our entire Universe.

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

2015-04-19T23:59:59.000Z

395

Thermonuclear Processes for Three Body System in the Potential Cluster Model  

E-Print Network [OSTI]

The manuscript is devoted to the description of the results obtained in the frame of the modified potential cluster model with the classification of states according to Young tableaux for neutron and proton radiative capture processes on 2H at thermal and astrophysical energies. It demonstrates methods of application that were obtained on the basis of phase shift analysis and characteristics of the bound states of 2H potentials for consideration of the radiative capture processes. First reaction of the proton capture directly takes part in the pp solar cycle, where it is the second reaction. The neutron capture is not a part of usual thermonuclear cycles in the Sun and stars, but can take part in the processes of primordial nucleosynthesis, following at formation and evolution of our entire Universe.

Dubovichenko, S B

2015-01-01T23:59:59.000Z

396

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

E-Print Network [OSTI]

We revisit the smallest non-physical singularity of the hard-sphere model in one dimension, also known as Tonks gas. We give an explicit expression of the free energy and reduced correlations at negative real fugacity and elaborate the nature of the singularity: the free energy is right-continuous, but its derivative diverges. We derive these results in several novel ways: First, by scaling up the discrete solution. Second, by an inductive argument on the partition function \\`a la Dobrushin. Third, by a perfect cluster expansion counting the Penrose trees in the Mayer expansion perfectly. Fourth, by an explicit construction of Shearer's point process, the unique R-dependent point process with an R-hard-core. The last connection yields explicit and optimal lower bounds on the avoidance function of R-dependent point processes on the real line.

Christoph Hofer-Temmel

2015-04-10T23:59:59.000Z

397

Modeling the electrical resistivity of deformation processed metal-metal composites  

SciTech Connect (OSTI)

Deformation processed metal–metal (matrix–reinforcement) composites (DMMCs) are high-strength, high-conductivity in situ composites produced by severe plastic deformation. The electrical resistivity of DMMCs is rarely investigated mechanistically and tends to be slightly higher than the rule-of-mixtures prediction. In this paper, we analyze several possible physical mechanisms (i.e. phonons, interfaces, mutual solution, grain boundaries, dislocations) responsible for the electrical resistivity of DMMC systems and how these mechanisms could be affected by processing conditions (i.e. temperature, deformation processing). As an innovation, we identified and assembled the major scattering mechanisms for specific DMMC systems and modeled their electrical resistivity in combination. From this analysis, it appears that filament coarsening rather than dislocation annihilation is primarily responsible for the resistivity drop observed in these materials after annealing and that grain boundary scattering contributes to the resistivity at least at the same magnitude as does interface scattering.

Tian, Liang [Ames Laboratory; Anderson, Iver [Ames Laboratory; Riedemann, Trevor [Ames Laboratory; Russell, Alan [Ames Laboratory

2014-09-01T23:59:59.000Z

398

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

E-Print Network [OSTI]

PRODUCT AND PROCESS MODELING FOR FUNCTIONAL PERFORMANCE TESTING IN LOW- ENERGY BUILDING EMBEDDED COMMISSIONING CASES Omer Akin, Kwang Jun Lee, Asli Akcamete, Burcu Akinci, and James Garrett, Jr. School of Architecture and Department... south zone and north zone indoor temperature ((T south + T north ) / 2)) is below the pump set point (60 o F) or if the schedule calls for it (Gong and Claridge, 2006). We discovered that some of the wiring connecting the sensors to the control...

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

2007-01-01T23:59:59.000Z

399

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

SciTech Connect (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

400

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

SciTech Connect (OSTI)

It is now a well-acclaimed fact that burning fossil fuels and deforestation are major contributors to climate change. Biomass from plants can serve as an alternative renewable and carbon-neutral raw material for the production of bioenergy. Low densities of 40–60 kg/m3 for lignocellulosic and 200–400 kg/m3 for woody biomass limits their application for energy purposes. Prior to use in energy applications these materials need to be densified. The densified biomass can have bulk densities over 10 times the raw material helping to significantly reduce technical limitations associated with storage, loading and transportation. Pelleting, briquetting, or extrusion processing are commonly used methods for densification. The aim of the present research is to develop a comprehensive review of biomass processing that includes densification, preprocessing, modeling and optimization. The specific objective include carrying out a technical review on (a) mechanisms of particle bonding during densification; (b) methods of densification including extrusion, briquetting, pelleting, and agglomeration; (c) effects of process and feedstock variables and biomass biochemical composition on the densification (d) effects of preprocessing such as grinding, preheating, steam explosion, and torrefaction on biomass quality and binding characteristics; (e) models for understanding the compression characteristics; and (f) procedures for response surface modeling and optimization.

Jaya Shankar Tumuluru; Christopher T. Wright

2010-06-01T23:59:59.000Z

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401

Experiments to Populate and Validate a Processing Model for Polyurethane Foam: Additional Data for Structural Foams.  

SciTech Connect (OSTI)

We are developing computational models to help understand manufacturing processes, final properties and aging of structural foam, polyurethane PMDI. Th e resulting model predictions of density and cure gradients from the manufacturing process will be used as input to foam heat transfer and mechanical models. BKC 44306 PMDI-10 and BKC 44307 PMDI-18 are the most prevalent foams used in structural parts. Experiments needed to parameterize models of the reaction kinetics and the equations of motion during the foam blowing stages were described for BKC 44306 PMDI-10 in the first of this report series (Mondy et al. 2014). BKC 44307 PMDI-18 is a new foam that will be used to make relatively dense structural supports via over packing. It uses a different catalyst than those in the BKC 44306 family of foams; hence, we expect that the reaction kineti cs models must be modified. Here we detail the experiments needed to characteriz e the reaction kinetics of BKC 44307 PMDI-18 and suggest parameters for the model based on these experiments. In additi on, the second part of this report describes data taken to provide input to the preliminary nonlinear visco elastic structural response model developed for BKC 44306 PMDI-10 foam. We show that the standard cu re schedule used by KCP does not fully cure the material, and, upon temperature elevation above 150 o C, oxidation or decomposition reactions occur that alter the composition of the foam. These findings suggest that achieving a fully cured foam part with this formulation may be not be possible through therma l curing. As such, visco elastic characterization procedures developed for curing thermosets can provide only approximate material properties, since the state of the material continuously evolves during tests.

Rao, Rekha R.; Celina, Mathias C.; Giron, Nicholas Henry; Long, Kevin Nicholas; Russick, Edward M.

2015-01-01T23:59:59.000Z

402

Wind speed modeled as a semi-Markov process with memory  

E-Print Network [OSTI]

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

D'Amico, Guglielmo; Prattico, Flavio

2012-01-01T23:59:59.000Z

403

Model for an irreversible bias current in the superconducting qubit measurement process  

SciTech Connect (OSTI)

The superconducting charge-phase ''quantronium'' qubit is considered in order to develop a model for the measurement process used in the experiment of Vion et al. [Science 296, 886 (2002)]. For this model we propose a method for including the bias current in the readout process in a fundamentally irreversible way, which to first order is approximated by the Josephson junction tilted-washboard potential phenomenology. The decohering bias current is introduced in the form of a Lindblad operator and the Wigner function for the current-biased readout Josephson junction is derived and analyzed. During the readout current pulse used in the quantronium experiment we find that the coherence of the qubit initially prepared in a symmetric superposition state is lost at a time of 0.2 ns after the bias current pulse has been applied, a time scale that is much shorter than the experimental readout time. Additionally we look at the effect of Johnson-Nyquist noise with zero mean from the current source during the qubit manipulation and show that the decoherence due to the irreversible bias current description is an order of magnitude smaller than that found through adding noise to the reversible tilted-washboard potential model. Our irreversible bias current model is also applicable to persistent-current-based qubits where the state is measured according to its flux via a small-inductance direct-current superconducting quantum interference device.

Hutchinson, G. D.; Williams, D. A. [Hitachi Cambridge Laboratory, Hitachi Europe Ltd., Cambridge CB3 OHE (United Kingdom); Holmes, C. A. [Department of Mathematics, University of Queensland, St. Lucia, Queensland 4072 (Australia); Stace, T. M. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA (United Kingdom); Spiller, T. P.; Barrett, S. D. [Quantum Information Processing Group, Hewlett-Packard Laboratories, Filton Road, Stoke Gifford, Bristol BS34 8QZ (United Kingdom); Milburn, G. J. [Centre for Quantum Computer Technology, Department of Physics, University of Queensland, St. Lucia, Queensland 4072 (Australia); Hasko, D. G. [Microelectronics Research Centre, Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE (United Kingdom)

2006-12-15T23:59:59.000Z

404

Modeling delay in genetic networks: From delay birth-death processes to delay stochastic differential equations  

SciTech Connect (OSTI)

Delay is an important and ubiquitous aspect of many biochemical processes. For example, delay plays a central role in the dynamics of genetic regulatory networks as it stems from the sequential assembly of first mRNA and then protein. Genetic regulatory networks are therefore frequently modeled as stochastic birth-death processes with delay. Here, we examine the relationship between delay birth-death processes and their appropriate approximating delay chemical Langevin equations. We prove a quantitative bound on the error between the pathwise realizations of these two processes. Our results hold for both fixed delay and distributed delay. Simulations demonstrate that the delay chemical Langevin approximation is accurate even at moderate system sizes. It captures dynamical features such as the oscillatory behavior in negative feedback circuits, cross-correlations between nodes in a network, and spatial and temporal information in two commonly studied motifs of metastability in biochemical systems. Overall, these results provide a foundation for using delay stochastic differential equations to approximate the dynamics of birth-death processes with delay.

Gupta, Chinmaya; López, José Manuel; Azencott, Robert; Ott, William [Department of Mathematics, University of Houston, Houston, Texas 77004 (United States); Bennett, Matthew R. [Department of Biochemistry and Cell Biology, Rice University, Houston, Texas 77204, USA and Institute of Biosciences and Bioengineering, Rice University, Houston, Texas 77005 (United States); Josi?, Krešimir [Department of Mathematics, University of Houston, Houston, Texas 77004 (United States); Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204 (United States)

2014-05-28T23:59:59.000Z

405

Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China  

SciTech Connect (OSTI)

The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R2 of 0.746 and lower root mean square error (RMSE) of 46.53 gC/m2 compared to R2 of 0.662 and RMSE of 60.19 gC/m2 from original BEPS. The modeled NPP of three vegetation types using improved BEPS show evident differences compared to that using original BEPS, with the highest difference ratio of 9.21% in forest and the lowest value of 4.29% in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS are higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones.

Wang, Peijuan; Xie, Donghui; Zhou, Yuyu; E, Youhao; Zhu, Qijiang

2014-01-16T23:59:59.000Z

406

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

E-Print Network [OSTI]

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

Hamel, Patrice

407

Mathematical model of cavitation during resin lm infusion process I. Sevostianov a,*, V.E. Verijenko b  

E-Print Network [OSTI]

Mathematical model of cavitation during resin ®lm infusion process I. Sevostianov a,*, V ®lm infusion (RFI) process. An analytical model is developed to describe the cavitation conditions formation; Resin ®lm infusion 1. Introduction The resin ®lm infusion (RFI) method of producing composite

Sevostianov, Igor

408

Mathematical Modeling of Coal Gasification Processes in a Well-Stirred Reactor: Effects of Devolatilization and Moisture Content  

E-Print Network [OSTI]

Mathematical Modeling of Coal Gasification Processes in a Well- Stirred Reactor: Effects in coal and biomass play an important role on the gasification performance of these fuels to simulate the gasification processes in a well-stirred reactor. This model is a first

Qiao, Li

409

A model of the thermal processing of particles in solar nebula shocks: Application to the cooling rates of chondrules  

E-Print Network [OSTI]

A model of the thermal processing of particles in solar nebula shocks: Application to the cooling for the thermal processing of particles in shock waves typical of the solar nebula. This shock model improves are accounted for in their ef fects on the mass, momentum and energy fluxes. Also, besides thermal exchange

Connolly Jr, Harold C.

410

Forest landscape models, a tool for understanding the effect of the large-scale and long-term landscape processes  

E-Print Network [OSTI]

Editorial Forest landscape models, a tool for understanding the effect of the large-scale and long-term landscape processes Forest landscape models have become important tools for understanding large-scale and long-term landscape (spatial) processes such as climate change, fire, windthrow, seed dispersal, insect

He, Hong S.

411

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

E-Print Network [OSTI]

1 Title: Optimal Replacement in the Proportional Hazards Model with semi-Markovian Covariate Process and Continuous Monitoring Index terms--Optimal replacement, proportional hazards model, semi-Markov process, threshold replacement policy, sensitivity analysis SUMMARY This paper deals with the optimal

Ryan, Sarah M.

412

Sustainable Urbanism: Vision and Planning Process Through an Examination of Two Model Neighborhood Developments  

E-Print Network [OSTI]

Sustainability, planning process, sustainable development,2011 Planning Processes for Sustainable Urbanism Hammarbybetween process and outcome in sustainable development is

Kasioumi, Eirini

2011-01-01T23:59:59.000Z

413

Building the Standard Model on a D3-brane  

E-Print Network [OSTI]

We motivate and apply a bottom-up approach to string phenomenology, which aims to construct the Standard Model as a decoupled world-volume theory on a D3-brane. As a concrete proposal for such a construction, we consider a single probe D3-brane on a partial resolution of a del Pezzo 8 singularity. The resulting world-volume theory reproduces the field content and interactions of the MSSM, however with a somewhat extended Higgs sector. An attractive feature of our approach is that the gauge and Yukawa couplings are dual to non-dynamical closed string modes, and are therefore tunable parameters.

Herman Verlinde; Martijn Wijnholt

2005-08-13T23:59:59.000Z

414

FATE Unified Modeling Method for Spent Nuclear Fuel and Sludge Processing, Shipping and Storage - 13405  

SciTech Connect (OSTI)

A unified modeling method applicable to the processing, shipping, and storage of spent nuclear fuel and sludge has been incrementally developed, validated, and applied over a period of about 15 years at the US DOE Hanford site. The software, FATE{sup TM}, provides a consistent framework for a wide dynamic range of common DOE and commercial fuel and waste applications. It has been used during the design phase, for safety and licensing calculations, and offers a graded approach to complex modeling problems encountered at DOE facilities and abroad (e.g., Sellafield). FATE has also been used for commercial power plant evaluations including reactor building fire modeling for fire PRA, evaluation of hydrogen release, transport, and flammability for post-Fukushima vulnerability assessment, and drying of commercial oxide fuel. FATE comprises an integrated set of models for fluid flow, aerosol and contamination release, transport, and deposition, thermal response including chemical reactions, and evaluation of fire and explosion hazards. It is one of few software tools that combine both source term and thermal-hydraulic capability. Practical examples are described below, with consideration of appropriate model complexity and validation. (authors)

Plys, Martin; Burelbach, James; Lee, Sung Jin; Apthorpe, Robert [Fauske and Associates, LLC, 16W070 83rd St., Burr Ridge, IL, 60527 (United States)] [Fauske and Associates, LLC, 16W070 83rd St., Burr Ridge, IL, 60527 (United States)

2013-07-01T23:59:59.000Z

415

Parallel distributed processing models using the back-propagation rule for studying analytic and holistic modes of processing in category learning  

E-Print Network [OSTI]

PARALLEL DISTRIBUTED PROCESSING MODELS USING THE BACK-PROPAGATION RULE FOR STUDYING ANALYTIC AND HOLISTIC MODES OF PROCESSING IN CATEGORY LEARNING A Thesis NIELS KONRAD BAUER Submitted to the Graduate College of Texas A&M University... IN CATEGORY LEARNING A Thesis NIELS KONRAD BAUER Appro d as to style and content by: S enM. Mo an (C air of Committee) 7 Thomas B. Ward (Member) Amitabha Mukerj ee (Member) Glenn N. Williams (Head of Department) May 1988 ABSTRACT Parallel...

Bauer, Niels Konrad

1988-01-01T23:59:59.000Z

416

Journal of Materials Processing Technology 167 (2005) 91102 3D modeling of shear-slitting process for aluminum alloys  

E-Print Network [OSTI]

forming operations widely used in various indus- tries like automotive, aerospace and electronics. While. In the automotive industry for instance, burrs formed in the trim- ming process often scratch the surface

Ghosh, Somnath

417

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

SciTech Connect (OSTI)

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

418

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

SciTech Connect (OSTI)

Our study targets recent (Plio-Pleistocene) faults and young (Tertiary) petroleum fields in southern California. Faults include the Refugio Fault in the Transverse Ranges, the Ellwood Fault in the Santa Barbara Channel, and most recently the Newport- Inglewood in the Los Angeles Basin. Subsurface core and tubing scale samples, outcrop samples, well logs, reservoir properties, pore pressures, fluid compositions, and published structural-seismic sections have been used to characterize the tectonic/diagenetic history of the faults. As part of the effort to understand the diagenetic processes within these fault zones, we have studied analogous processes of rapid carbonate precipitation (scaling) in petroleum reservoir tubing and manmade tunnels. From this, we have identified geochemical signatures in carbonate that characterize rapid CO2 degassing. These data provide constraints for finite element models that predict fluid pressures, multiphase flow patterns, rates and patterns of deformation, subsurface temperatures and heat flow, and geochemistry associated with large fault systems.

Boles, James [Professor

2013-05-24T23:59:59.000Z

419

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

SciTech Connect (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

420

A process model for the heat-affected zone microstructure evolution in duplex stainless steel weldments: Part I. The model  

SciTech Connect (OSTI)

The present investigation is concerned with modeling of the microstructure evolution in duplex stainless steels under thermal conditions applicable to welding. The important reactions that have been modeled are the dissolution of austenite during heating, subsequent grain growth in the delta ferrite regime, and finally, the decomposition of the delta ferrite to austenite during cooling. As a starting point, a differential formulation of the underlying diffusion problem is presented, based on the internal-state variable approach. These solutions are later manipulated and expressed in terms of the Scheil integral in the cases where the evolution equation is separable or can be made separable by a simple change of variables. The models have then been applied to describe the heat-affected zone microstructure evolution during both thick-plate and thin-plate welding of three commercial duplex stainless steel grades: 2205, 2304, and 2507. The results may conveniently be presented in the form of novel process diagrams, which display contours of constant delta ferrite grain size along with information about dissolution and reprecipitation of austenite for different combinations of weld input energy and peak temperature. These diagrams are well suited for quantitative readings and illustrate, in a condensed manner, the competition between the different variables that lead to structural changes during welding of duplex stainless steels.

Hemmer, H.; Grong, O.

1999-11-01T23:59:59.000Z

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.


421

Infinite Hidden Markov Models via the Hierarchical Dirichlet Process Matthew J. Beal # (presenting author) beal@cs.toronto.edu  

E-Print Network [OSTI]

Infinite Hidden Markov Models via the Hierarchical Dirichlet Process Matthew J. Beal # (presenting author) beal@cs.toronto.edu Yee Whye Teh + ywteh@eecs.berkeley.edu Michael I. Jordan + jordan model (iHMM) of Beal et al. [2]. The iHMM is a hidden Markov model (HMM) in which the number of hidden

Beal, Matt J.

422

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

2009-09-15T23:59:59.000Z

423

Need to understand "Uncertainty Assessment" in the system development modeling process  

E-Print Network [OSTI]

In the early stage of software life cycle project manager are inefficient to estimate the effort, schedule, cost estimation and its development approach .This in turn, confuses the manager to bid effectively on software project and choose incorrect development approach. That will directly effect on productivity cycle and increase level of uncertainty. This becomes a strong cause of project failure. So to avoid such problem if we know level and sources of uncertainty in model design, It will directive the developer to design accurate software cost and schedule estimation. Which are essential for software project success . However once the required efforts have estimated, little is done to recalibrate and reduce the uncertainty of the initial estimates. This paper demonstrates terminology and typology of uncertainty is presented together with a framework for the modeling process, Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment its interaction w...

Kardile, Vilas Vasantrao

2011-01-01T23:59:59.000Z

424

MODELING THE FORMATION OF GIANT PLANET CORES. I. EVALUATING KEY PROCESSES  

SciTech Connect (OSTI)

One of the most challenging problems we face in our understanding of planet formation is how Jupiter and Saturn could have formed before the solar nebula dispersed. The most popular model of giant planet formation is the so-called core accretion model. In this model a large planetary embryo formed first, mainly by two-body accretion. This is then followed by a period of inflow of nebular gas directly onto the growing planet. The core accretion model has an Achilles heel, namely the very first step. We have undertaken the most comprehensive study of this process to date. In this study, we numerically integrate the orbits of a number of planetary embryos embedded in a swarm of planetesimals. In these experiments, we have included a large number of physical processes that might enhance accretion. In particular, we have included (1) aerodynamic gas drag, (2) collisional damping between planetesimals, (3) enhanced embryo cross sections due to their atmospheres, (4) planetesimal fragmentation, and (5) planetesimal-driven migration. We find that the gravitational interaction between the embryos and the planetesimals leads to the wholesale redistribution of material-regions are cleared of material and gaps open near the embryos. Indeed, in 90% of our simulations without fragmentation, the region near those embryos is cleared of planetesimals before much growth can occur. Thus, the widely used assumption that the surface density distribution of planetesimals is smooth can lead to misleading results. In the remaining 10% of our simulations, the embryos undergo a burst of outward migration that significantly increases growth. On timescales of {approx}10{sup 5} years, the outer embryo can migrate {approx}6 AU and grow to roughly 30 M {sub +}. This represents a largely unexplored mode of core formation. We also find that the inclusion of planetesimal fragmentation tends to inhibit growth except for a narrow range of fragment migration rates.

Levison, Harold F. [Southwest Research Institute, 1050 Walnut Street, Suite 300, Boulder, CO 80302 (United States); Thommes, Edward [Department of Physics, University of Guelph, Guelph, Ontario N1G 2W1 (Canada); Duncan, Martin J. [Department of Physics, Queen's University, Kingston, Ontario K7L 3N6 (Canada)], E-mail: hal@boulder.swri.edu

2010-04-15T23:59:59.000Z

425

Modeling Wettability Alteration using Chemical EOR Processes in Naturally Fractured Reservoirs  

SciTech Connect (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

426

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

SciTech Connect (OSTI)

The technical information required for the development of a basic steady-state process simulation of the vitrification treatment train of sodium bearing waste (SBW) at Idaho National Engineering and Environmental Laboratory (INEEL) is presented. The objective of the modeling effort is to provide the predictive capability required to optimize an entire treatment train and assess system-wide impacts of local changes at individual unit operations, with the aim of reducing the schedule and cost of future process/facility design efforts. All the information required a priori for engineers to construct and link unit operation modules in a commercial software simulator to represent the alternative treatment trains is presented. The information is of a mid- to high-level nature and consists of the following: (1) a description of twenty-four specific unit operations--their operating conditions and constraints, primary species and key outputs, and the initial modeling approaches that will be used in the first year of the simulation's development; (2) three potential configurations of the unit operations (trains) and their interdependencies via stream connections; and (3) representative stream compositional makeups.

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

2002-02-21T23:59:59.000Z

427

Modeling of the reburning process using sewage sludge-derived syngas  

SciTech Connect (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

428

Transactions of NAMRI/SME 543 Volume XXX, 2002 MICRO-SCALE LASER SHOCK PROCESSING MODELING, TESTING,  

E-Print Network [OSTI]

Transactions of NAMRI/SME 543 Volume XXX, 2002 MICRO-SCALE LASER SHOCK PROCESSING ­ MODELING of NAMRI/SME 544 Volume XXX, 2002 implicitly assumed. Effects of finite size and complex geometry

Yao, Y. Lawrence

429

Modeling Ion-Exchange Processing With Spherical Resins For Cesium Removal  

SciTech Connect (OSTI)

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

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

2012-09-19T23:59:59.000Z

430

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.

431

FRONTEND POST-PROCESSING AND BACKEND MODEL ENHANCEMENT ON THE AURORA 2.0/3.0 DATABASES  

E-Print Network [OSTI]

FRONTEND POST-PROCESSING AND BACKEND MODEL ENHANCEMENT ON THE AURORA 2.0/3.0 DATABASES Chia noise- robust front end based on novel post-processing of standard MFCC features on the Aurora databases. It performs remarkably well on both the Aurora 2.0 and Aurora 3.0 databases without requiring any increase

Washington at Seattle, University of

432

Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions  

SciTech Connect (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

433

Modeling of hydrologic conditions and solute movement in processed oil shale waste embankments under simulated climatic conditions  

SciTech Connect (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

434

Virtual control system environment: A modeling and simulation tool for process control systems  

SciTech Connect (OSTI)

The development of tools and techniques for security testing and performance testing of Process Control Systems (PCS) is needed since those systems are vulnerable to the same classes of threats as other networked computer systems. In practice, security testing is difficult to perform on operational PCS because it introduces an unacceptable risk of disruption to the critical systems (e.g., power grids) that they control. In addition, the hardware used in PCS is often expensive, making full-scale mockup systems for live experiments impractical. A more flexible approach to these problems can be provided through test beds that provide the proper mix of real, emulated, and virtual elements to model large, complex systems such as critical infrastructures. This paper describes a 'Virtual Control System Environment' that addresses these issues. (authors)

Lee, E.; Michalski, J.; Sholander, P.; Van Leeuwen, B. [Sandia National Laboratories, Albuquerque, NM 87111 (United States)

2006-07-01T23:59:59.000Z

435

Performance and cost models for the direct sulfur recovery process. Task 1 Topical report, Volume 3  

SciTech Connect (OSTI)

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

436

Structural Patterns for the Transformation of Business Process Models This research has partly been funded by the Austrian Federal Ministry for Education, Science, and Culture,  

E-Print Network [OSTI]

Structural Patterns for the Transformation of Business Process Models This research has partly@wit.tuwien.ac.at Abstract Due to company mergers and business to business interoperability, there is a need for model transformations in the area of business process modeling to facilitate scenarios like model integration and model

437

Multiphysics modeling of carbon gasification processes in a well-stirred reactor with detailed gas-phase chemistry  

E-Print Network [OSTI]

Multiphysics modeling of carbon gasification processes in a well-stirred reactor with detailed gas: Coal gasification Carbon gasification Detailed chemistry Heterogeneous surface reactions Radiation Multi-physics numerical modeling a b s t r a c t Fuel synthesis through coal and biomass gasification

Qiao, Li

438

Steady-State and Dynamic Modeling of Gas-Phase Polypropylene Processes Using Stirred-Bed Reactors  

E-Print Network [OSTI]

Steady-State and Dynamic Modeling of Gas-Phase Polypropylene Processes Using Stirred-Bed Reactors for the continuous gas-phase synthesis of polypropylene using stirred-bed reactors. The model considers the important- terization, and reactor residence time, in addition to the traditional Ziegler-Natta polymerization kinetics

Liu, Y. A.

439

Analysis and modeling of gas exchange processes in Scaevola aemula Soo-Hyung Kim a,*, Paul R. Fisher b  

E-Print Network [OSTI]

Analysis and modeling of gas exchange processes in Scaevola aemula Soo-Hyung Kim a,*, Paul R exchange model previously developed for cut-roses. Utilizing the gas exchange data measured at 25 8C leaf crop cultivated as a bedding plant or for hanging baskets. We characterized gas exchange properties

Lieth, J. Heinrich

440

Submitted to BAMS v5, 13/10/2011 Documenting the climate modelling process: how climate scientists now share their  

E-Print Network [OSTI]

(DKRZ, Germany), Sylvia Murphy (NOAA, US), Karl Taylor (PCMDI, US) and the METAFOR team In earth system system models"). The complexity of these simulators, measured in terms of the number of the processes we modelling, the performance of common simulation experiments by multiple research groups has emerged

Guilyardi, Eric

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.


441

A Validation Process for the Groundwater Flow and Transport Model of the Faultless Nuclear Test at Central Nevada Test Area  

SciTech Connect (OSTI)

Many sites of groundwater contamination rely heavily on complex numerical models of flow and transport to develop closure plans. This has created a need for tools and approaches that can be used to build confidence in model predictions and make it apparent to regulators, policy makers, and the public that these models are sufficient for decision making. This confidence building is a long-term iterative process and it is this process that should be termed ''model validation.'' Model validation is a process not an end result. That is, the process of model validation cannot always assure acceptable prediction or quality of the model. Rather, it provides safeguard against faulty models or inadequately developed and tested models. Therefore, development of a systematic approach for evaluating and validating subsurface predictive models and guiding field activities for data collection and long-term monitoring is strongly needed. This report presents a review of model validation studies that pertain to groundwater flow and transport modeling. Definitions, literature debates, previously proposed validation strategies, and conferences and symposia that focused on subsurface model validation are reviewed and discussed. The review is general in nature, but the focus of the discussion is on site-specific, predictive groundwater models that are used for making decisions regarding remediation activities and site closure. An attempt is made to compile most of the published studies on groundwater model validation and assemble what has been proposed or used for validating subsurface models. The aim is to provide a reasonable starting point to aid the development of the validation plan for the groundwater flow and transport model of the Faultless nuclear test conducted at the Central Nevada Test Area (CNTA). The review of previous studies on model validation shows that there does not exist a set of specific procedures and tests that can be easily adapted and applied to determine the validity of site-specific groundwater models. This is true for both deterministic and stochastic models, with the latter posing a more difficult and challenging problem when it comes to validation. This report then proposes a general validation approach for the CNTA model, which addresses some of the important issues recognized in previous validation studies, conferences, and symposia as crucial to the process. The proposed approach links model building, model calibration, model predictions, data collection, model evaluations, and model validation in an iterative loop. The approach focuses on use of collected validation data to reduce model uncertainty and narrow the range of possible outcomes of stochastic numerical models. It accounts for the stochastic nature of the numerical CNTA model, which used Monte Carlo simulation approach. The proposed methodology relies on the premise that absolute validity is not even a theoretical possibility and is not a regulatory requirement. Rather, it highlights the importance of testing as many aspects of the model as possible and using as many diverse statistical tools as possible for rigorous checking and confidence building in the model and its predictions. It is this confidence that will eventually allow for regulator and public acceptance of decisions based on the model predictions.

Ahmed Hassan

2003-01-01T23:59:59.000Z

442

Report of Separate Effects Testing for Modeling of Metallic Fuel Casting Process  

SciTech Connect (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

443

Validation of formability of laminated sheet metal for deep drawing process using GTN damage model  

SciTech Connect (OSTI)

In this study, we studied formability of PET/PVC laminated sheet metal which named VCM (Vinyl Coated Metal). VCM offers various patterns and good-looking metal steel used for appliances such as refrigerator and washing machine. But, this sheet has problems which are crack and peeling of film when the material is formed by deep drawing process. To predict the problems, we used finite element method and GTN (Gurson-Tvergaard-Needleman) damage model to represent damage of material. We divided the VCM into 3 layers (PET film, adhesive and steel added PVC) in finite element analysis model to express the crack and peeling phenomenon. The material properties of each layer are determined by reverse engineering based on tensile test result. Furthermore, we performed the simple rectangular deep drawing and simulated it. The simulation result shows good agreement with drawing experiment result in position, punch stroke of crack occurrence. Also, we studied the fracture mechanism of PET film on VCM by comparing the width direction strain of metal and PET film.

Lim, Yongbin; Cha, Wan-gi; Kim, Naksoo [Department of Mechanical Engineering, Sogang University, 1 Sinsu-dong, Mapo-gu, Seoul, 121-742 (Korea, Republic of); Ko, Sangjin [Mold/die and forming technology team, Product prestige research lab, LG electronics, 222, LG-ro, Jinwi-myeon, Pyeongtaek-si, Gyeonggi-do, 451-713 (Korea, Republic of)

2013-12-16T23:59:59.000Z

444

Transient Heat and Material Flow Modeling of Friction Stir Processing of Magnesium Alloy using Threaded Tool  

SciTech Connect (OSTI)

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

445

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

SciTech Connect (OSTI)

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

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

2010-06-01T23:59:59.000Z

446

A computational methodology for learning low-complexity surrogate models of process from experiments or simulations. (Paper 679a)  

SciTech Connect (OSTI)

Costly and/or insufficiently robust simulations or experiments can often pose difficulties when their use extends well beyond a single evaluation. This is case with the numerous evaluations of uncertainty quantification, when an algebraic model is needed for optimization, as well as numerous other areas. To overcome these difficulties, we generate an accurate set of algebraic surrogate models of disaggregated process blocks of the experiment or simulation. We developed a method that uses derivative-based and derivative-free optimization alongside machine learning and statistical techniques to generate the set of surrogate models using data sampled from experiments or detailed simulations. Our method begins by building a low-complexity surrogate model for each block from an initial sample set. The model is built using a best subset technique that leverages a mixed-integer linear problem formulation to allow for very large initial basis sets. The models are then tested, exploited, and improved through the use of derivative-free solvers to adaptively sample new simulation or experimental points. The sets of surrogate models from each disaggregated process block are then combined with heat and mass balances around each disaggregated block to generate a full algebraic model of the process. The full model can be used for cheap and accurate evaluations of the original simulation or experiment or combined with design specifications and an objective for nonlinear optimization.

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

2011-01-01T23:59:59.000Z

447

Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual  

SciTech Connect (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

448

Enhanced Geothermal Systems Research and Development: Models of Subsurface Chemical Processes Affecting Fluid Flow  

SciTech Connect (OSTI)

Successful exploitation of the vast amount of heat stored beneath the earth’s surface in hydrothermal and fluid-limited, low permeability geothermal resources would greatly expand the Nation’s domestic energy inventory and thereby promote a more secure energy supply, a stronger economy and a cleaner environment. However, a major factor limiting the expanded development of current hydrothermal resources as well as the production of enhanced geothermal systems (EGS) is insufficient knowledge about the chemical processes controlling subsurface fluid flow. 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 < 350°C) 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 < 350°C). Aluminum is the third most abundant element in the earth’s crust; and, as a constituent of aluminosilicate minerals, it is found in two thirds of the minerals in the earth’s 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 300°C. 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

449

Off-Highway Gasoline Consuption Estimation Models Used in the Federal Highway Administration Attribution Process: 2008 Updates  

SciTech Connect (OSTI)

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

450

California spiny lobsters and benthic community structure in Southern California: top-down and bottom-up interactions  

E-Print Network [OSTI]

in southern California kelp forests Supported by Sea Grantof benthic communities in kelp forest and seagrass habitat.movement, and home range among kelp forest, surfgrass, and

Hovel, Kevin; Lowe, Christopher

2010-01-01T23:59:59.000Z

451

Bottom-up and top-down controls of walleye pollock (Theragra chalcogramma) on the Eastern Bering Sea shelf  

E-Print Network [OSTI]

. Furthermore, a dome-shaped relationship between pollock survival and summer wind mixing at the early juvenile- erate levels of wind mixing, but a decrease in feeding success at high levels of wind mixing. Top-to- recruit survival could be accounted for by predation mortality at the early juvenile stage (age-1

Ladd, Carol

452

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

E-Print Network [OSTI]

a corresponding increase in both diesel and electric trains.Diesel IEA Gas/Diesel Oil Estimated Electric IEA Heavy FuelDiesel use increased from 50% to 64%, and electric train

Zhou, Nan

2010-01-01T23:59:59.000Z

453

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

454

OIKOS 89: 524540. Copenhagen 2000 Assessing top-down and bottom-up control in a litter-based soil  

E-Print Network [OSTI]

of a temperate deciduous forest. During two consecutive years, we estimated the abundances of macroinvertebrate abundance increases when its food supply increases. Top-down control is demon- strated by an increase-level chain should be so efficiently preyed upon that any additional unit of biomass they might produce

Jost, Christian

455

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. , Kirchgässner,G. 2001. The Political Economy of Direct Legislation: Direct

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

2007-01-01T23:59:59.000Z

456

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

E-Print Network [OSTI]

Initiative (RGGI) and California's Global Warming Solutions Act.3 Both policies set emissions reduction

Hutyra, Lucy R.

457

Waiting time distribution of solar energetic particle events modeled with a non-stationary Poisson process  

E-Print Network [OSTI]

We present a study of the waiting time distributions (WTDs) of solar energetic particle (SEP) events observed with the spacecraft $WIND$ and $GOES$. Both the WTDs of solar electron events (SEEs) and solar proton events (SPEs) display a power-law tail $\\sim \\Delta t^{-\\gamma}$. The SEEs display a broken power-law WTD. The power-law index is $\\gamma_{1} =$ 0.99 for the short waiting times ($$100 hours). The break of the WTD of SEEs is probably due to the modulation of the corotating interaction regions (CIRs). The power-law index $\\gamma \\sim$ 1.82 is derived for the WTD of SPEs that is consistent with the WTD of type II radio bursts, indicating a close relationship between the shock wave and the production of energetic protons. The WTDs of SEP events can be modeled with a non-stationary Poisson process which was proposed to understand the waiting time statistics of solar flares (Wheatland 2000; Aschwanden $\\&$ McTiernan 2010). We generalize the method and find that, if the SEP event rate $\\lambda = 1/\\Delt...

Li, Chuan; Wang, Linghua; Su, Wei; Fang, Cheng

2014-01-01T23:59:59.000Z

458

Process-model Simulations of Cloud Albedo Enhancement by Aerosols in the Arctic  

SciTech Connect (OSTI)

A cloud-resolving model is used to simulate the effectiveness of Arctic marine cloud brightening via injection of cloud condensation nuclei (CCN). An updated cloud microphysical scheme is employed, with prognostic CCN and cloud particle numbers in both liquid and mixed-phase marine low clouds. Injection of CCN into the marine boundary layer can delay the collapse of the boundary layer and increase low-cloud albedo. Because nearly all of the albedo effects are in the liquid phase due to the removal of ice water by snowfall when ice processes are involved, albedo increases are stronger for pure liquid clouds than mixed-phase clouds. Liquid precipitation can be suppressed by CCN injection, whereas ice precipitation (snow) is affected less; thus the effectiveness of brightening mixed-phase clouds is lower than for liquid-only clouds. CCN injection into a clean regime results in a greater albedo increase than injection into a polluted regime, consistent with current knowledge about aerosol-cloud interactions. Unlike previous studies investigating warm clouds, dynamical changes in circulation due to precipitation changes are small.

Kravitz, Benjamin S.; Wang, Hailong; Rasch, Philip J.; Morrison, H.; Solomon, Amy

2014-11-17T23:59:59.000Z

459

LONG-TERM GLOBAL WATER USE PROJECTIONS USING SIX SOCIOECONOMIC SCENARIOS IN AN INTEGRATED ASSESSMENT MODELING FRAMEWORK  

SciTech Connect (OSTI)

In this paper, we assess future water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors, by incorporating water demands into a technologically-detailed global integrated assessment model of energy, agriculture, and climate change – the Global Change Assessment Model (GCAM). Base-year water demands—both gross withdrawals and net consumptive use—are assigned to specific modeled activities in a way that maximizes consistency between bottom-up estimates of water demand intensities of specific technologies and practices, and top-down regional and sectoral estimates of water use. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. We assess future water demands representing six socioeconomic scenarios, with no constraints imposed by future water supplies. The scenarios observe increases in global water withdrawals from 3,578 km3 year-1 in 2005 to 5,987 – 8,374 km3 year-1 in 2050, and to 4,719 – 12,290 km3 year-1 in 2095. Comparing the projected total regional water withdrawals to the historical supply of renewable freshwater, the Middle East exhibits the highest levels of water scarcity throughout the century, followed by India; water scarcity increases over time in both of these regions. In contrast, water scarcity improves in some regions with large base-year electric sector withdrawals, such as the USA and Canada, due to capital stock turnover and the almost complete phase-out of once-through flow cooling systems. The scenarios indicate that: 1) water is likely a limiting factor in climate change mitigation policies, 2) many regions can be expected to increase reliance on non-renewable groundwater, water reuse, and desalinated water, but they also highlight an important role for development and deployment of water conservation technologies and practices.

Hejazi, Mohamad I.; Edmonds, James A.; Clarke, Leon E.; Kyle, G. Page; Davies, Evan; Chaturvedi, Vaibhav; Wise, Marshall A.; Patel, Pralit L.; Eom, Jiyong; Calvin, Katherine V.; Moss, Richard H.; Kim, Son H.

2014-01-19T23:59:59.000Z

460

Finite Element Modeling of Superplastic Sheet Forming Processes. Identification of Rheological and Tribological  

E-Print Network [OSTI]

complex SPF/DB process (involving several sheets partially welded by a diffusion bonding technique prior-like process commonly applied to titanium and aluminum alloys at high temperature and in specific conditions structures. The most common alloys being used are aluminum and titanium alloys. The process consists

Paris-Sud XI, Université de

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461

Modeling Cu Migration in CdTe Solar Cells Under Device-Processing and Long-Term Stability Conditions (Poster)  

SciTech Connect (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

462

Process Design of Wastewater Treatment for the NREL Cellulosic Ethanol Model  

SciTech Connect (OSTI)

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

463

A Total Cost of Ownership Model for Low Temperature PEM Fuel Cells in Combined Heat and Power and Backup Power Applications  

SciTech Connect (OSTI)

A total cost of ownership model is described for low temperature proton exchange membrane stationary fuel cell systems for combined heat and power (CHP) applications from 1-250kW and backup power applications from 1-50kW. System designs and functional specifications for these two applications were developed across the range of system power levels. Bottom-up cost estimates were made for balance of plant costs, and detailed direct cost estimates for key fuel cell stack components were derived using design-for-manufacturing-and-assembly techniques. The development of high throughput, automated processes achieving high yield are projected to reduce the cost for fuel cell stacks to the $300/kW level at an annual production volume of 100 MW. Several promising combinations of building types and geographical location in the U.S. were identified for installation of fuel cell CHP systems based on the LBNL modelling tool DER CAM. Life-cycle modelling and externality assessment were done for hotels and hospitals. Reduced electricity demand charges, heating credits and carbon credits can reduce the effective cost of electricity ($/kWhe) by 26-44percent in locations such as Minneapolis, where high carbon intensity electricity from the grid is displaces by a fuel cell system operating on reformate fuel. This project extends the scope of existing cost studies to include externalities and ancillary financial benefits and thus provides a more comprehensive picture of fuel cell system benefits, consistent with a policy and incentive environment that increasingly values these ancillary benefits. The project provides a critical, new modelling capacity and should aid a broad range of policy makers in assessing the integrated costs and benefits of fuel cell systems versus other distributed generation technologies.

University of California, Berkeley; Wei, Max; Lipman, Timothy; Mayyas, Ahmad; Chien, Joshua; Chan, Shuk Han; Gosselin, David; Breunig, Hanna; Stadler, Michael; McKone, Thomas; Beattie, Paul; Chong, Patricia; Colella, Whitney; James, Brian

2014-06-23T23:59:59.000Z

464

[10-386] Assessing and Improving the Scale Dependence of Ecosystem Processes in Earth System Models  

E-Print Network [OSTI]

. Goodale Cornell U. *Overall Project Lead *Lead Institution Intellectual Merit: Earth system models include policies. Our research assesses and improves Earth system model simulations of the carbon cycle, ecosystem of the Community Climate System Model/Community Earth System Model, which includes statistical meteorological

465

Modeling Tidal Stream Energy Extraction and its Effects on Transport Processes in a Tidal Channel and Bay System Using a Three-dimensional Coastal Ocean Model  

SciTech Connect (OSTI)

This paper presents a numerical modeling study for simulating in-stream tidal energy extraction and assessing its effects on the hydrodynamics and transport processes in a tidal channel and bay system connecting to coastal ocean. A marine and hydrokinetic (MHK) module was implemented in a three-dimensional (3-D) coastal ocean model using the momentum sink approach. The MHK model was validated with the analytical solutions for tidal channels under one-dimensional (1-D) conditions. Model simulations were further carried out to compare the momentum sink approach with the quadratic bottom friction approach. The effects of 3-D simulations on the vertical velocity profile, maximum extractable energy, and volume flux reduction across the channel were investigated through a series of numerical experiments. 3-D model results indicate that the volume flux reduction at the maximum extractable power predicted by the 1-D analytical model or two-dimensional (2-D) depth-averaged numerical model may be overestimated. Maximum extractable energy strongly depends on the turbine hub height in the water column, and which reaches a maximum when turbine hub height is located at mid-water depth. Far-field effects of tidal turbines on the flushing time of the tidal bay were also investigated. Model results demonstrate that tidal energy extraction has a greater effect on the flushing time than volume flux reduction, which could negatively affect the biogeochemical processes in estuarine and coastal waters that support primary productivity and higher forms of marine life.

Yang, Zhaoqing; Wang, Taiping; Copping, Andrea E.

2013-02-28T23:59:59.000Z

466

Modeling basin- and plume-scale processes of CO2 storage for full-scale deployment  

SciTech Connect (OSTI)

Integrated modeling of basin- and plume-scale processes induced by full-scale deployment of CO{sub 2} storage was applied to the Mt. Simon Aquifer in the Illinois Basin. A three-dimensional mesh was generated with local refinement around 20 injection sites, with approximately 30 km spacing. A total annual injection rate of 100 Mt CO{sub 2} over 50 years was used. The CO{sub 2}-brine flow at the plume scale and the single-phase flow at the basin scale were simulated. Simulation results show the overall shape of a CO{sub 2} plume consisting of a typical gravity-override subplume in the bottom injection zone of high injectivity and a pyramid-shaped subplume in the overlying multilayered Mt. Simon, indicating the important role of a secondary seal with relatively low-permeability and high-entry capillary pressure. The secondary-seal effect is manifested by retarded upward CO{sub 2} migration as a result of multiple secondary seals, coupled with lateral preferential CO{sub 2} viscous fingering through high-permeability layers. The plume width varies from 9.0 to 13.5 km at 200 years, indicating the slow CO{sub 2} migration and no plume interference between storage sites. On the basin scale, pressure perturbations propagate quickly away from injection centers, interfere after less than 1 year, and eventually reach basin margins. The simulated pressure buildup of 35 bar in the injection area is not expected to affect caprock geomechanical integrity. Moderate pressure buildup is observed in Mt. Simon in northern Illinois. However, its impact on groundwater resources is less than the hydraulic drawdown induced by long-term extensive pumping from overlying freshwater aquifers.

Zhou, Q.; Birkholzer, J.T.; Mehnert, E.; Lin, Y.-F.; Zhang, K.

2009-08-15T23:59:59.000Z

467

Uranium Removal from Groundwater via In Situ Biostimulation: Field-Scale Modeling of Transport and Biological Processes  

SciTech Connect (OSTI)

During 2002 and 2003, bioremediation experiments in the unconfined aquifer of the Old Rifle UMTRA field site in western Colorado provided evidence for the immobilization of hexavalent uranium in groundwater by iron-reducing Geobacter sp. stimulated by acetate amendment. As the bioavailable Fe(III) terminal electron acceptor was depleted in the zone just downgradient of the acetate injection gallery, sulfate-reducing organisms came to dominate the microbial community. In the present study, we use multicomponent reactive transport modeling to analyze data from the 2002 field experiment to 1) identify the dominant transport and biological processes controlling uranium mobility during biostimulation, 2) determine field-scale parameters for these modeled processes, and 3) apply the calibrated process models to history match observations during the 2003 field experiment. In spite of temporally and spatially variable observations during the field-scale biostimulation experiments, the coupled process simulation approach was able to establish a quantitative characterization of the principal flow, transport, and reaction processes that could be applied without modification to describe the 2003 field experiment. Insights gained from this analysis include field-scale estimates of bioavailable Fe(III) mineral, and the magnitude of uranium bioreduction during biostimulated growth of the iron-reducing and sulfate-reducing microorganisms.

Yabusaki, Steven B.; Fang, Yilin; Long, Philip E.; Resch, Charles T.; Peacock, Aaron D.; Komlos, John; Jaffe, Peter R.; Morrison, Stan J.; Dayvault, Richard; White, David C.; Anderson, Robert T.

2007-03-12T23:59:59.000Z

468

Realistic fission model and the r-process in neutron star mergers  

SciTech Connect (OSTI)

About half of heavy elements are considered to be produced by the rapid neutron-capture process, r-process. The neutron star merger is one of the viable candidates for the astrophysical site of r-process nucleosynthesis. Nuclear fission reactions play an important role in the r-process of neutron star mergers. However theoretical predictions about fission properties of neutron-rich nuclei have some uncertainties. Especially, their fission fragment distributions are totally unknown and the phenomenologically extrapolated distribution was often applied to nucleosynthesis calculations. In this study, we have carried out r-process nucleosynthesis calculations based upon new theoretical estimates of fission fragment distributions. We discuss the effects on the r-process in neutron star mergers from the nuclear fission of heavy neutron-rich actinide elements. We also discuss how variations in the fission fragment distributions affect the abundance pattern.

Shibagaki, S.; Kajino, T. [Department of Astronomy, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan and National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan); Chiba, S. [Research Laboratory for Nuclear Reactors, Tokyo Institute of Technology, Ookayama, Meguro-ku, Tokyo, 152-8850 (Japan); Mathews, G. J. [Center for Astrophysics, Department of Physics, University of Notre Dame, IN 46556, U.S.A. and National Astronomical Observatory of Japan, 2-21-1 Osawa, Mitaka, Tokyo 181-8588 (Japan)

2014-05-09T23:59:59.000Z

469

982 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 5, MAY 2009 Bayesian Separation of Images Modeled  

E-Print Network [OSTI]

on a statistical model of the gradient image, and we use a fully Bayesian method with modified-Gibbs sam- pling. We982 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 5, MAY 2009 Bayesian Separation of Images fields within a Bayesian framework. The Bayesian for- mulation enables the incorporation of prior image

470

Dynamic modeling of the reactive twin-screw co-rotating extrusion process: experimental validation by using inlet  

E-Print Network [OSTI]

and modification.1 The co-rotating twin-screw extruder is of particular interest due to its modular geometry or removing chemical species.3,4 Furthermore, the co-rotating twin-screw extruder can handle high viscosityDynamic modeling of the reactive twin-screw co-rotating extrusion process: experimental validation

Paris-Sud XI, Université de

471

A Silicon Model of Auditory-Nerve Response Nonlinear signal processing is an integral part of sensory transduction in  

E-Print Network [OSTI]

, the auditory nerve. Humans can process sound input over a 120-dB dynamic range, yet the firing rate differences of the order of 10 µs, yet an auditory-nerve fiber can fire at most once per millisecond. Using and operation of an integrated circuit that models, to a limited degree, the evoked responses of the auditory

Lazzaro, John

472

Modeling Wind-Driven Circulation and Landfast Ice-Edge Processes during Polynya Events in Northern Baffin Bay  

E-Print Network [OSTI]

attached to the ice edge that is generated during strong northerly wind events. Primary production heat polynyas. In the former case, sea ice is continuously advected by winds and/or currents away fromModeling Wind-Driven Circulation and Landfast Ice-Edge Processes during Polynya Events in Northern

473

Numerical modelling of erosion processes in the Himalayas of Nepal: effects of spatial variations of rock strength and precipitation  

E-Print Network [OSTI]

Numerical modelling of erosion processes in the Himalayas of Nepal: effects of spatial variations of the morphology of mountain belts. Here we investigate the modalities of defor- mation in Central Nepal on a c that the pattern of uplift in Nepal is mainly dependent on both erodability and fault geometry, rather than

Demouchy, Sylvie

474

Prediction of the Tool Displacement by Coupled Models of the Compliant Industrial Robot and the Milling Process  

E-Print Network [OSTI]

Prediction of the Tool Displacement by Coupled Models of the Compliant Industrial Robot@sim.tu-darmstadt.de Abstract Using an industrial robot for machining parts provides a cost-saving and flexible alternative Interaction, Milling Process, Robot Structure 1 INTRODUCTION The major field of cutting applications

Stryk, Oskar von

475

Statistical Modeling of Pipeline Delay and Design of Pipeline under Process Variation to Enhance Yield in sub-100nm Technologies*  

E-Print Network [OSTI]

Statistical Modeling of Pipeline Delay and Design of Pipeline under Process Variation to Enhance), Intel Corp. and Semiconductor Research Corp. (SRC). Abstract Operating frequency of a pipelined circuit is determined by the delay of the slowest pipeline stage. However, under statistical delay variation in sub-100

Paris-Sud XI, Université de

476

Thermochemical process for seasonal storage of solar energy: characterization and modeling of a high-density reactive bed  

E-Print Network [OSTI]

1 Thermochemical process for seasonal storage of solar energy: characterization and modeling to maximize the use of solar energy for house heating, it is interesting to valorize the solar energy excess efficiency, and a 20 per cent share of renewable). The use of renewable energies and in particular solar

Paris-Sud XI, Université de

477

Fast and Informative Flow Simulations in a Building by Using Fast Fluid Dynamics Model on Graphics Processing Unit  

E-Print Network [OSTI]

Fast and Informative Flow Simulations in a Building by Using Fast Fluid Dynamics Model on Graphics solve Navier-Stokes equations and other transportation equations for energy and species at a speed of 50 it in parallel on a Graphics Processing Unit (GPU). This study validated the FFD on the GPU by simulating

Chen, Qingyan "Yan"

478

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

E-Print Network [OSTI]

index.html 101. Becker EW. Microalgae: Biotechnology andRW, Flynn KJ. Placing microalgae on the biofuels priority125 5.5 BTL process using microalgae as

Lu, Xiaoming

2012-01-01T23:59:59.000Z

479

STATE-OF-THE-ART OF MODELS FOR GEOTHERMAL RECOVERY PROCESSES  

E-Print Network [OSTI]

development and use of geothermal energy. Many ex- perimentsterm case hiatoriem in geothermal energy development arekey processes in geothermal energy development are described

Tsang, C.F.

2012-01-01T23:59:59.000Z

480

Integrating high-precision U-Pb geochronologic data with dynamic models of earth processes  

E-Print Network [OSTI]

Radioisotopic dating can provide critical constraints for understanding the rates of tectonic, dynamic and biologic processes operating on our planet. Improving the interpretation and implementation of geochronologic data ...

Blackburn, Terrence (Terrence Joseph)

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


481

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

E-Print Network [OSTI]

simulation model of a Battelle biomass-based gasification, Fischer–Tropsch liquefaction and combined-cycle power plant.

Lu, Xiaoming

2012-01-01T23:59:59.000Z

482

Summer school MOVEP 2002 MOdelling and VEri cation of parallel Processes  

E-Print Network [OSTI]

checking and program analysis", Markus Mueller-Olm (University of Dortmund) 2. \\Model checking in#12;nite

Ryan, Mark

483

Modelling and simulation of an unsaturated polyester process. Geir Stian Landsverk1  

E-Print Network [OSTI]

between the two models is the calculation of vapor flow and com- position from the reactor into the distillation column. One model uses the reactor energy balance to cal- culate flow and a flash calculation reasonable well. Two different dynamic models of an industrial batch reactor including distillation column

Foss, Bjarne A.

484

MODELING THE INFLUENCE OF HETEROGENEITY AND ANISOTROPY ON PHYSICAL PROCESSES IN  

E-Print Network [OSTI]

the interplay of coupled physical and chemical processes interacting in partially water- saturated waste rock the piles. This process is a much more efficient oxygen transport mechanism than diffusion and it sustains of existing piles and guidelines on constructing new pile with minimal ARD production. Aubertin et al. (2005

Aubertin, Michel

485

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

E-Print Network [OSTI]

compressor driven by a steam turbine. The fraction of the refrigerant that flows around the second the compressor turbine. A forced draft air cooler is used to condense the HP refrigerant vapour, followed TP1o TP2o TP1i TP2i Turbine Compressor 1 Compressor 2 Condenser Receiver Process Stream 1 Process

Skogestad, Sigurd

486

Iron distribution in silicon after solar cell processing: Synchrotron analysis and predictive modeling  

E-Print Network [OSTI]

The evolution during silicon solar cell processing of performance-limiting iron impurities is investigated with synchrotron-based x-ray fluorescence microscopy. We find that during industrial phosphorus diffusion, bulk ...

Fenning, David P.

487

Numerical modeling of interface dynamics and transport phenomena in transport-limited electrolysis processes  

E-Print Network [OSTI]

Electrochemical reactions in materials and processes induce morphological instability on the cathode, which can lead to porous deposits or system failure. The growth of the protrusion is a complex phenomenon which involves ...

Pongsaksawad, Wanida

2006-01-01T23:59:59.000Z

488

Process based cost modeling of emerging optoelectronic interconnects : implications for material platform choice  

E-Print Network [OSTI]

Continuously increasing demand for processing power, storage capacity, and I/O capacity in personal computing, data network, and display interface suggests that optical interconnects may soon supplant copper not only for ...

Liu, Shan, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

489

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...

Rawal, Chakra

2012-07-16T23:59:59.000Z

490

Development of a Fast and Detailed Model of Urban-Scale Chemical and Physical Processing  

E-Print Network [OSTI]

A reduced form metamodel has been produced to simulate the effects of physical, chemical, and meteorological processing of highly reactive trace species in hypothetical urban areas, which is capable of efficiently simulating ...

Prinn, Ronald G.

491

A Conceptual Model and Process for Client-driven Agile Requirements Prioritization  

E-Print Network [OSTI]

-centric requirements reprioritization is essential in successfully performing agile software development. Yet be used for structuring future empirical investigations about this topic. Keywords - Agile development to the successful execution of agile software projects. A comparative study [10] of this process

Wieringa, Roel

492

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

E-Print Network [OSTI]

30 Figure 2.2 Untreated and HTP treated biomass and biosolidHydrothermal Pretreatment (HTP) process has been developed [the batch type feedstock HTP system with an initial solid

Lu, Xiaoming

2012-01-01T23:59:59.000Z

493

Process design and modeling for the production of triacylglycerols (TAGs) in Rhodococcus opacus PD630  

E-Print Network [OSTI]

The oleaginous microorganism Rhodococcus opacus PD630 was used to study the characteristics and kinetics of the accumulation of triacylglycerols (TAGs) in cells. In this process, accumulation of TAG is stimulated when a ...

Miller, Neidi

2012-01-01T23:59:59.000Z

494

COMPUTATIONAL MODELING OF THE VACUUM ASSISTED RESIN TRANSFER MOLDING (VARTM) PROCESS  

E-Print Network [OSTI]

, ground transportation and infrastructure applications. Some typical VARTM parts are wind turbine blades simple process which utilizes matched, two- part molds made of a metal or a composite material. The fiber

Grujicic, Mica

495

Modeling electrospinning process and a numerical scheme using Lattice Boltzmann method to simulate viscoelastic fluid flows  

E-Print Network [OSTI]

of secondary electric field on electrospinning process and whipping instability. It is observed that the external secondary field unwinds the jet spirals, reduces the whipping instability and increases the tension in the fiber. Lattice Boltzmann method (LBM...

Karra, Satish

2009-05-15T23:59:59.000Z

496

Processing of cloud condensation nuclei by collision-coalescence in a mesoscale model  

E-Print Network [OSTI]

The Naval Research Laboratory's Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) is employed to explore the relative importance of source, sink, and transport processes in producing an accurate forecast of the ...

Mechem, David B.; Robinson, Paul C.; Kogan, Yefim L.

2006-09-26T23:59:59.000Z

497

Spatial-Temporal Branching Point Process Models in the Study of Invasive Species  

E-Print Network [OSTI]

A review of models of alien plant spread,” EcologicalThe establishment of alien (invasive) plant and animaleconomic costs associated with alien-invasive species in the

Balderama, Earvin

2012-01-01T23:59:59.000Z

498

Vehicle Technologies Office Merit Review 2014: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and Electrochemical Processes  

Broader source: Energy.gov [DOE]

Presentation given by [company name] at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about coupled hierarchical models...

499

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process  

E-Print Network [OSTI]

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random 2002; published 13 March 2003) We model trading and price formation in a market under the assumption for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure

500

Integrated feature scale modeling of plasma processing of porous and solid SiO2 . I. Fluorocarbon etching  

E-Print Network [OSTI]

Integrated feature scale modeling of plasma processing of porous and solid SiO2 . I. Fluorocarbon these issues, reaction mechanisms for fluorocarbon plasma etching of SiO2 in C2F6 , CHF3 , and C4F8 chemistries typically involve SiO2 based materials which are etched in fluorocarbon plasmas.6,7 Porous SiO2 PS is one

Kushner, Mark