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1

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 ...

Hacker, Randi; Boyd, David

2011-03-30T23:59:59.000Z

2

Nanomaterial processing using self-assembly-bottom-up chemical and biological approaches  

Science Journals Connector (OSTI)

Nanotechnology is touted as the next logical sequence in technological evolution. This has led to a substantial surge in research activities pertaining to the development and fundamental understanding of processes and assembly at the nanoscale. Both top-down and bottom-up fabrication approaches may be used to realize a range of well-defined nanostructured materials with desirable physical and chemical attributes. Among these, the bottom-up self-assembly process offers the most realistic solution toward the fabrication of next-generation functional materials and devices. Here, we present a comprehensive review on the physical basis behind self-assembly and the processes reported in recent years to direct the assembly of nanoscale functional blocks into hierarchically ordered structures. This paper emphasizes assembly in the synthetic domain as well in the biological domain, underscoring the importance of biomimetic approaches toward novel materials. In particular, two important classes of directed self-assembly, namely, (i) self-assembly among nanoparticle–polymer systems and (ii) external field-guided assembly are highlighted. The spontaneous self-assembling behavior observed in nature that leads to complex, multifunctional, hierarchical structures within biological systems is also discussed in this review. Recent research undertaken to synthesize hierarchically assembled functional materials have underscored the need as well as the benefits harvested in synergistically combining top-down fabrication methods with bottom-up self-assembly.

Rajagopalan Thiruvengadathan; Venumadhav Korampally; Arkasubhra Ghosh; Nripen Chanda; Keshab Gangopadhyay; Shubhra Gangopadhyay

2013-01-01T23:59:59.000Z

3

A Coupled Bottom-Up/Top-Down Model for GHG Abatement Scenarios in the Swiss Housing Sector  

Science Journals Connector (OSTI)

In this paper we report on the coordinated development of a regional module within a world computable general equilibrium model (CGEM) and of a bottom up energy-technology-environment model (ETEM) describing long...

Laurent Drouet; Alain Haurie; Maryse Labriet; Philippe Thalmann…

2005-01-01T23:59:59.000Z

4

Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference Cristian Sminchisescu  

E-Print Network (OSTI)

-down and bottom-up processing for monocular 3d human motion reconstruction. Learning progresses in alter- native. Introduction Analyzing three-dimensional human motion in real world environments is an actively growing field and surveillance. The problem has been traditionally attacked using the powerful machinery of top-down, generative

Sminchisescu, Cristian

5

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

E-Print Network (OSTI)

Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models of energy efficiency potential and green- house gas (GHG) abatement potential that have been highly, and that profitable energy efficiency improvements are the reason. For the US, McKinsey estimates that GHG emissions

6

Counter-Based Power Modeling Methods: Top-Down vs. Bottom-Up  

Science Journals Connector (OSTI)

......fundamental properties. The benefits of having a single model...IEEE/ACM Int. Conf. Grid Computing (GRID) 2010, Piscataway...Bellosa, F. (2000) The Benefits of Event: Driven Energy...info/. [39] SBSIF. SMART specification rev.1......

Ramon Bertran; Marc Gonzàlez; Xavier Martorell; Nacho Navarro; Eduard Ayguadé

2013-02-01T23:59:59.000Z

7

Detonation: From the Bottom Up  

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

8

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

9

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

SciTech Connect

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

10

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

Open Energy Info (EERE)

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

11

Assembly of a Molecular Needle, from the Bottom Up  

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

Assembly of a Molecular Needle, Assembly of a Molecular Needle, from the Bottom Up Assembly of a Molecular Needle, from the Bottom Up Print Wednesday, 21 December 2005 00:00 Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are found among a wide variety of animal as well as plant pathogens. Electron microscopy has sketched the broad outlines of TTSS structure, but it does not have sufficient resolution to reveal the details required to understand, and eventually inhibit, the needle's function. At the ALS, researchers from Canada and the U.S. performed crystallographic studies of EscJ, the protein that makes up the needle's ring-shaped base. Their analysis of the EscJ ring not only presents a snapshot of one of the earliest structures generated in the TTSS assembly process, but also reveals features indicative of its role as the molecular platform for subsequent construction of the secretion apparatus.

12

The Bottom-Up Approach forThermoelectric Nanocomposites, plus?  

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

Contains an overview of the synthetic strategies for preparing bulk nanocomposite TE materials using a two-step bottom-up approach and associated experimental and theoretical results.

13

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.

14

Integrating hospital information systems: a bottom-up approach  

Science Journals Connector (OSTI)

The growing complexity of hospital information systems has prompted information systems managers to seek applicable solutions for integrating their systems. While many successful applications of information systems have been introduced and implemented in the hospital environment, the integration of heterogeneous applications in existing, multi-vendor, computing environments into a cohesive hospital-wide information system has proved to be complicated and difficult to accomplish. This paper discusses systems integration in hospitals and presents a conceptual framework for bottom-up integration of hospital information systems. The scope of the proposed framework is the integration of stand-alone clinical, administrative and financial information elements of a hospital into a unified system environment with a central medical data warehouse.

Moshe Zviran; Aviad Armoni

1999-01-01T23:59:59.000Z

15

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

16

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 considerations of research and policy development concerning climate change. Taking social innovation to include

17

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

Open Energy Info (EERE)

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

18

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

19

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 National Laboratory (LBNL) Edgar Villaseñor Franco, Promoting an Energy-efficient Public Sector (PEPS (Promoting an Energy-efficient Public Sector) program, demonstrates the need for flexibility in designing

20

Using MAS Technologies for Intelligent Organizations: A Report of Bottom-Up Results  

E-Print Network (OSTI)

Using MAS Technologies for Intelligent Organizations: A Report of Bottom-Up Results Armando Robles1 Organizations us- ing MAS Technology. We discuss our experience of implementing different types of server agents institutional prescription, and having that prescription control the information system that handles the day

Luck, Michael

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

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

22

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

SciTech Connect

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

23

Forecasting aggregate demand: Analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework  

Science Journals Connector (OSTI)

Abstract Forecasting aggregate demand represents a crucial aspect in all industrial sectors. In this paper, we provide the analytical prediction properties of top-down (TD) and bottom-up (BU) approaches when forecasting the aggregate demand using a multivariate exponential smoothing as demand planning framework. We extend and generalize the results achieved by Widiarta et al. (2009) by employing an unrestricted multivariate framework allowing for interdependency between its variables. Moreover, we establish the necessary and sufficient condition for the equality of mean squared errors (MSEs) of the two approaches. We show that the condition for the equality of \\{MSEs\\} holds even when the moving average parameters of the individual components are not identical. In addition, we show that the relative forecasting accuracy of TD and BU depends on the parametric structure of the underlying framework. Simulation results confirm our theoretical findings. Indeed, the ranking of TD and BU forecasts is led by the parametric structure of the underlying data generation process, regardless of possible misspecification issues.

Giacomo Sbrana; Andrea Silvestrini

2013-01-01T23:59:59.000Z

24

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

SciTech Connect

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

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

2006-05-10T23:59:59.000Z

25

Warming shifts top-down and bottom-up control of pond food web structure and function  

Science Journals Connector (OSTI)

...top-down and bottom-up control of pond food web structure and function Jonathan B. Shurin...structuring experimental freshwater pond food webs in western Canada over 16 months. Experimental...temperatures produced top-heavy food webs with lower biomass of benthic and pelagic...

2012-01-01T23:59:59.000Z

26

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

SciTech Connect

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

Zhou, Nan; McNeil, Michael A.

2009-05-01T23:59:59.000Z

27

Bottom-up and top-down effects on insects herbivores along a natural salinity gradient in a florida salt marsh.  

E-Print Network (OSTI)

??I compared the strength of bottom- up and top-down effects on insect herbivores along a natural salinity gradient in salt marsh communities in West -… (more)

Albarracin, Maria Teresa

2005-01-01T23:59:59.000Z

28

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

E-Print Network (OSTI)

of a technology such as natural gas combined cycle power generation if, for example, its widespread use causes gas example (e.g., a 500 megawatt coal fired power plant, or a 1-MW wind turbine). The technologies for two carbon capture and sequestration (CCS) technologies in the electric power sector into the EPPA

29

Applying bottom-up analysis to identify the system boundaries of non-energy use data in international energy statistics  

Science Journals Connector (OSTI)

Data on the non-energy use of fossil fuels in energy statistics are subject to major uncertainties. We apply a simple bottom-up methodology to recalculate non-energy use for the entire world and for the 50 countries with the highest consumption of fossil fuels for non-energy purposes. We quantify worldwide non-energy use in the year 2000 to be 24±2 exajoules (EJ), thereby accounting for 6% of the global total primary energy supply (TPES). Our bottom-up estimates are in line with data from international energy statistics for the entire world and for 14 individual countries. Our estimates exceed official non-energy use data for 22 countries, whereas they are lower than official data in the case of 14 countries. Inconsistent system boundaries of non-energy use data in international energy statistics can explain parts of the observed deviations. We regard our bottom-up methodology as reliable albeit being attached with uncertainties. We recommend its use for energy statisticians and greenhouse gas (GHG) inventory makers to generate a shortlist of countries, for which efforts should be made to clarify and improve the quality of non-energy use data in national and international energy statistics.

M. Weiss; M.L. Neelis; M.C. Zuidberg; M.K. Patel

2008-01-01T23:59:59.000Z

30

Supersymmetry from Bottom Up and the Top Jerusalem Winter School, Jerusalem, 2011  

E-Print Network (OSTI)

order of severity): 1 The dark energy (10-120) (The problem of the Cosmological Constant (The CCP) 2 after 5 fb-1 at LHC 1 Discovery of the Higgs ­ almost. The Standard Model is Complete!(?) 2 Is particle Model cannot be a complete theory of nature; fails to account for known facts. Top down (energy scales

California at Santa Cruz, University of

31

Implementing nuclear energy policy in Japan top-down and bottom-up perspectives  

Science Journals Connector (OSTI)

Although crucial to Japan, nuclear power has been confronted with increasing siting obstacles. This paper analyses Japan's nuclear policy from the perspective of implementation analysis. It suggests that implementation processes in Japan can and do get delayed more often than many would like to acknowledge because of a reliance on indirect policy instruments by the central government for facilitating bargaining between implementing organizations and target groups. The paper concludes that a site auctioning approach which stresses greater regional input into decisionmaking may assist in the management of siting difficulties.

S. Hayden Lesbirel

1990-01-01T23:59:59.000Z

32

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

33

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

E-Print Network (OSTI)

CCS) technology and demand side management. 2.1. Scenariosgeneration and demand-side management that differentiate thedispatch order Demand side management Installed capacity of

Zhou, Nan

2014-01-01T23:59:59.000Z

34

PHYSICAL REVIEW E 89, 012807 (2014) Bottom-up model of self-organized criticality on networks  

E-Print Network (OSTI)

Pierre-Andr´e No¨el,1,2,* Charles D. Brummitt,1,3 and Raissa M. D'Souza1,2,4,5 1 Complexity Sciences Center, University of California, Davis, California 95616, USA 2 Department of Computer Science, Davis, California 95616, USA 4 Department of Mechanical and Aerospace Engineering, University

D'Souza, Raissa

35

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

36

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

37

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

38

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

E-Print Network (OSTI)

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

Zhou, Nan

2014-01-01T23:59:59.000Z

39

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

E-Print Network (OSTI)

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

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

40

Top-down or bottom-up strategy approach for promotion of cleaner production in Egypt? Reflections on China's experiences  

Science Journals Connector (OSTI)

Egypt has been undergoing intense dynamics since the 25 January 2011 revolution, with people aspiring for positive democratic and social changes. As Egypt attempts to further industrialise and modernise its economy, energy and water security are some of the most pressing challenges. The time to address these problems is now, but through a different economic paradigm of low carbon, resource efficient and socially inclusive national development, known as 'green economy' or 'circular economy' (CE) in China. The experience of China was selected because its challenges were similar to Egypt: accelerating economic growth and industrial expansion. After China's rapid industrialisation in the 1980s, serious environmental pollution stimulated Chinese leaders to develop an alternative economic model based on sustainable development. Focusing on the CE of the manufacturing sector in China, this paper reflects on and draws lessons from China's experiences in implementing cleaner production (CP). The research reviews the systems implemented to promote CP in China as well as gaps in their efforts to reach CE at the firm-level. It reflects on the adequacy of Egypt's current policies to attain a green economy in its manufacturing industries.

Dalia Sakr; Salah El-Haggar; Donald Huisingh; Leenard Baas

2014-01-01T23:59:59.000Z

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


41

Biosphere Process Model Report  

SciTech Connect

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

42

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

43

COMPUTER PROCESSING AND MODELING -  

E-Print Network (OSTI)

COMPUTER PROCESSING AND MODELING - Full Paper Magnetic Resonance in Medicine 67:572­579 (2012, Washington University School of Medicine, St. Louis, Missouri, USA Grant sponsor: Mr. and Mrs. Spencer T. Olin Fellowship for Women in Graduate Study; Grant sponsor: NSF; Grant number: CCF-0963742; Grant

Nehorai, Arye

44

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

SciTech Connect

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

45

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

E-Print Network (OSTI)

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

Xu, Tengfang

2014-01-01T23:59:59.000Z

46

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

47

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

Science Journals Connector (OSTI)

Mitigating transportation emission reductions can result in significant changes in personal vehicle technologies, increases in vehicle fuel efficiency, and decreases in overall transportation fuel use. ... The Energy Independence and Security Act (H.R. 6), which includes a 36 billion gallon renewable fuel mandate, was passed by Congress and signed by President Bush on December 19, 2007. ... Mitigation strategies with the potential to achieve significant long-term transportation emission reductions often face significant competition for primary resources with other sectors, including biomass, natural gas, renewables, and coal, and for secondary energy sources such as electricity. ...

Sonia Yeh; Alex Farrell; Richard Plevin; Alan Sanstad; John Weyant

2008-10-21T23:59:59.000Z

48

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

E-Print Network (OSTI)

stream through the high efficiency turbine connected to themechanical drive turbines or zero efficiency pressure

Xu, Tengfang

2014-01-01T23:59:59.000Z

49

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

E-Print Network (OSTI)

Energy carrier input (PJ): Corn Energy carrier input (PJ):energy requirement (in natural gas, specifically) for corn

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

2008-01-01T23:59:59.000Z

50

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

E-Print Network (OSTI)

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

Xu, T.T.

2011-01-01T23:59:59.000Z

51

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

E-Print Network (OSTI)

carrier output (PJ): Ethanol Energy carrier input (PJ): Corncarrier output (PJ): Ethanol Energy carrier input (PJ):D. M. , Ethanol can contribute to energy and environmental

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

2008-01-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

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

53

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

54

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

55

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

E-Print Network (OSTI)

Production Experience with LWC. TAPPI Papermakers ConferenceProceedings, 1995. TAPPI, Atlanta, Georgia. Cannell, E.for mini Mill Applications. TAPPI Papermakers Conference

Xu, Tengfang

2014-01-01T23:59:59.000Z

56

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

E-Print Network (OSTI)

Assessment to Identify Energy and Cost Saving Opportunities.to Identify Energy and Cost Savings Opportunities. Accesscan add up to big energy and cost savings. For example, one

Xu, Tengfang

2014-01-01T23:59:59.000Z

57

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

58

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

59

Kinetic Modeling of Microbiological Processes  

SciTech Connect

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

60

Restore: Modeling Repair and Restoration Processes | Argonne...  

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

Restore: Modeling Repair and Restoration Processes Restore: Modeling Repair and Restoration Processes Argonne's Restore software models complex sets of steps required to accomplish...

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

A bottom-up energy analysis across a diverse urban building portfolio: retrofits for the buildings at the Royal Botanic Gardens, Kew, UK  

Science Journals Connector (OSTI)

Abstract A methodology for the analysis of building energy retrofits has been developed for a diverse set of buildings at the Royal Botanic Gardens (RBG), Kew in southwest London, UK. The methodology requires selection of appropriate building simulation tools dependent on the nature of the principal energy demand. This has involved the development of a stand-alone model to simulate the heat flow in botanical glasshouses, as well as stochastic simulation of electricity demand for buildings with high equipment density and occupancy-led operation. Application of the methodology to the buildings at RBG Kew illustrates the potential reduction in energy consumption at the building scale achievable from the application of retrofit measures deemed appropriate for heritage buildings and the potential benefit to be gained from onsite generation and supply of energy.

R.M. Ward; R. Choudhary

2014-01-01T23:59:59.000Z

62

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

63

Substation automation -- a ``bottoms up`` approach  

SciTech Connect

The proliferation of multi-purpose intelligent electronic devices in substations brought the availability of abundant and often overlapping data at the substation. This data can be used for improving the operation and maintenance of the substations and the entire power system. The objective of substation automation is to use technology to gather, consolidate and utilize this data for increasing the efficiency of power system operation and maintenance. Often automation functions are developed and offered around the capabilities of the preferred hardware and software of the integrator. Emphasis is placed on hardware, software and communication protocols rather than need, methodology and application. This can result in over-automation with complex, expensive and ineffective systems, or under-automation that fails to achieve the user`s objectives. The objective is to select appropriate hardware, software and methodology to build the most cost effective system to get the desired results. This paper describes steps to ensure the successful implementation of substation automation.

Thomas, J. [General Electric, Malvern, PA (United States)

1996-10-01T23:59:59.000Z

64

Modelling PV Deployment: A Tool Developed at CEEP to  

E-Print Network (OSTI)

..............................................................................................................................2 3. CEEP's Solar PV Diffusion Model Overview ..............................................................................................................12 4. Comparison of the CEEP's Solar PV Diffusion Model with Other Models ..................................................................................................................................................18 i #12;List of Figures Figure 1: Overview of CEEP's Bottom-Up Solar PV Diffusion Model

Delaware, University of

65

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.

66

Analytical Modeling and Simulation of Thermoelectric Devices  

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

A high-level strategy for semi-empirical modeling and numerical simulation tools using top-down/bottom-up approaches to define TE design operating conditions and optimization.

67

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

68

BUSINESS PROCESS MODELING TOWARDS DATA QUALITY ASSURANCE  

E-Print Network (OSTI)

BUSINESS PROCESS MODELING TOWARDS DATA QUALITY ASSURANCE An Organizational Engineering Approach Keywords: Data Quality, Business Processes, Object-Oriented Modeling, UML Abstract: Data is produced and consumed everyday by information systems, and its inherent quality is a fundamental aspect to operational

69

INTEGRATED FISCHER TROPSCH MODULAR PROCESS MODEL  

SciTech Connect

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

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

2007-12-01T23:59:59.000Z

70

Linking domestic emissions trading schemes and the evolution of the international climate regime bottom-up support of top-down processes? Introduction to the special issue of MITI  

Science Journals Connector (OSTI)

More and more countries are incorporating emissions trading into their national climate policies. While the ... , Norway and Switzerland have already launched their emissions trading schemes (ETS), the Japanese M...

Ralf Schüle; Wolfgang Sterk

2009-06-01T23:59:59.000Z

71

Modeling of Geothermal Reservoirs: Fundamental Processes, Computer  

Open Energy Info (EERE)

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

72

Dirichlet Processes and Nonparametric Bayesian Modelling  

E-Print Network (OSTI)

;Statistical Approaches to Learning and Statistics · Probability theory is a branch of mathematics · Statistics and (statistical) machine learning are attempts to applying probability theory to solving problems in the real function (Gaussian process regression) 3 #12;Dirichlet Processes: Modeling Probability Measures · Dirichlet

Tresp, Volker

73

Ocean heat uptake processes: a model intercomparison  

Science Journals Connector (OSTI)

We compare the quasi-equilibrium heat balances, as well as their responses to 4×CO2 perturbation, among three global climate models with the aim to identify and explain inter-model differences in ocean heat uptake (OHU) processes. We find that, in ...

Eleftheria Exarchou; Till Kuhlbrodt; Jonathan M. Gregory; Robin S. Smith

74

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

75

Attrition and abrasion models for oil shale process modeling  

SciTech Connect

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

76

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

77

Automatic Verification of Static Policies on Software Process Models  

Science Journals Connector (OSTI)

Software Process Technology evolved to support software processes management by assisting the modeling, enacting and evolution of complex process models. This paper presents a contribution to this field, describing a mechanism to formally model Static ...

Rodrigo Quites Reis; Carla Alessandra Lima Reis; Heribert Schlebbe; Daltro José nunes

2002-12-01T23:59:59.000Z

78

Performance modeling in the design process  

SciTech Connect

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

79

Iron and steel industry process model  

SciTech Connect

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

80

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

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

Multiphase Flow Modeling of Biofuel Production Processes  

SciTech Connect

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

82

Three-dimensional model for fusion processes  

SciTech Connect

Active galactic nuclei (AGN) emit unusual spectra of radiation which is interpreted to signify extreme distance, extreme power, or both. The status of AGNs was recently reviewed by Balick and Heckman. It seems that the greatest conceptual difficulty with understanding AGNs is how to form a coherent phenomenological model of their properties. What drives the galactic engine. What and where are the mass-flows of fuel to this engine. Are there more than one engine. Do the engines have any symmetry properties. Is observed radiation isotropically emitted from the source. If it is polarized, what causes the polarization. Why is there a roughly spherical cloud of ionized gas about the center of our own galaxy, the Milky Way. The purpose of this paper is to discuss a new model, based on fusion processes which are not axisymmetric, uniform, isotropic, or even time-invariant. Then, the relationship to these questions will be developed. A unified model of fusion processes applicable to many astronomical phenomena will be proposed and discussed.

Olson, A.P.

1984-01-01T23:59:59.000Z

83

TSPA Model Development and Sensitivity Analysis of Processes...  

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

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

84

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

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

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

85

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

86

BatPaC - Battery Performance and Cost model - About BatPaC  

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

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

87

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

88

NREL Biorefinery Analysis Process Models | Open Energy Information  

Open Energy Info (EERE)

NREL Biorefinery Analysis Process Models AgencyCompany Organization: National Renewable Energy Laboratory Website: www.nrel.govextranetbiorefineryaspenmodels Transport...

89

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.

90

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

91

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

92

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

93

A SYSTEMS APPROACH TO MATHEMATICAL MODELING OF INDUSTRIAL PROCESSES  

E-Print Network (OSTI)

/or partial automation of the creative modeling process. Model Generation is a new modeling paradigm designed specifically for rapid modeling of large multi-scale systems in the industrial practice. It proposes model. Keywords: Dynamic and continuous/discrete simulation, computer-aided modeling, symbolic

Linninger, Andreas A.

94

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

95

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

96

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

97

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

98

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

99

America's Bottom-Up Climate Change Mitigation Policy  

E-Print Network (OSTI)

than 100% reduction in GHG emission rates from baseline non-generation). We assume a 95% GHG reduction from renewableElectricity Generation GHG Emissions (MMT CO 2 -equivalent)

Lutsey, Nicholas P.; Sperling, Dan

2008-01-01T23:59:59.000Z

100

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

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

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

102

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

103

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

104

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

105

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

106

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

107

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

108

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

109

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

E-Print Network (OSTI)

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

110

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

111

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.

112

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

113

A General Process Model of Sustainability  

Science Journals Connector (OSTI)

The intellectual roots of sustainability and some of its theoretical consequences for sustainable development have been reviewed, and need not be here. ... Just as material processes are governed by the first and second laws of thermodynamics and the theory of rate processes, the general theory of sustainability is based on these three concepts as applied to dynamic as well as steady-state processes. ... Basing the theory on the twin pillars of thermodynamics and rate processes enables it to be generalized across physical-metabolic and social-economic phenomena. ...

Michael Neuman; Stuart W. Churchill

2011-01-18T23:59:59.000Z

114

Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier  

E-Print Network (OSTI)

The object-oriented component-based modeling methodology in Modelica (FRITZSON [13]) is well- suitedChemical Process Modeling in Modelica Ali Baharev Arnold Neumaier Fakultät für Mathematik for general-purpose chemical process modeling have been built. Multi- ple steady-states in ideal two

Neumaier, Arnold

115

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

116

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

117

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

118

An information modeling framework for process planning  

E-Print Network (OSTI)

planning links design and manufacture and has been recog- nized as one of the key elements in Concurrent Engineering. It serves as a crucial integrator for Computer Integrated Manufacturing (CIM). Decomposition of the com- plex decision making in process... framework and its development methodology has potential uses in other aspects of CIM and Concurrent engineering. To My Parents. ACKNOWLEDGMENTS I would like to primarily, thank both Dr. Richard J. Mayer and Dr. Richard A. Wysk for their guidance...

Atreya, Dinesh S.

2012-06-07T23:59:59.000Z

119

Business Process Modeling and Agility Nancy Alexopoulou1  

E-Print Network (OSTI)

was to investigate business process agility and develop modeling approaches that ensure agility in business process a comprehensive and systematic analysis of enterprise agility, a viewpoint-oriented architecture was developed], [6]). Agility of business processes is intimately related to the approach used for the development

Kouroupetroglou, Georgios

120

Process modeling of hydrogen production from municipal solid waste  

SciTech Connect

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

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

Chemical kinetics models for semiconductor processing  

SciTech Connect

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

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

1997-12-31T23:59:59.000Z

122

Computer modeling of the spallation process  

E-Print Network (OSTI)

nuclide the final product was in atomic number, the less accurate the results were. Fermi made a significant contribution to the problem of fragmen- 5 tation in 1950 when he proposed statistical weights for the various combinations of reactions from a... reactions. Other approaches were being developed at the same time E. Fermi was working on his model. Bernardini, et al. , and later Metropolis, 6 7 et al. , brought forth Monte Carlo computer programs that followed an incident particle mathematically...

Walker, Wayne Claire

2012-06-07T23:59:59.000Z

123

SURVEY, ANALYSIS AND VALIDATION OF INFORMATION FOR BUSINESS PROCESS MODELING  

E-Print Network (OSTI)

implementation. In the past, the business has been only represented with hierarchical models business or outsourcing opportunities. ­ To develop an Information systems Architecture, that uses in the future. The process of modeling these two approaches is not the same. The As Is modeling follows a bottom

124

Evaluation of Generic EBS Design Concepts and Process Models Implications  

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

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

125

Modelling biological processes using workflow and Petri Net models  

Science Journals Connector (OSTI)

......of regulatory networks. Bioinformatics , 16 , 1120 1128. Schlenoff,C., Gruninger,M., Tissot,F., Valois,J., Lubell,J. and Lee,J. (2000) The Process Specification Language (PSL): Overview and Version 1.0 Specification. National......

Mor Peleg; Iwei Yeh; Russ B. Altman

2002-06-01T23:59:59.000Z

126

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

E-Print Network (OSTI)

Statistical post processing of model output from the air quality model LOTOS-EUROS Annemiek processing of model output from the air quality model LOTOS-EUROS Author: Annemiek Pijnappel Supervisor summary Air quality forecasts are produced routinely, focusing on concentrations of polluting gases

Stoffelen, Ad

127

Dispersive processes in models of regional radionuclide migration. Technical memorandum  

SciTech Connect

Three broad areas of concern in the development of aquifer scale transport models will be local scale diffusion and dispersion processes, regional scale dispersion processes, and numerical problems associated with the advection-dispersion equation. Local scale dispersion processes are fairly well understood and accessible to observation. These processes will generally be dominated in large scale systems by regional processes, or macro-dispersion. Macro-dispersion is primarily the result of large scale heterogeneities in aquifer properties. In addition, the effects of many modeling approximations are often included in the process. Because difficulties arise in parameterization of this large scale phenomenon, parameterization should be based on field measurements made at the same scale as the transport process of interest or else partially circumvented through the application of a probabilistic advection model. Other problems associated with numerical transport models include difficulties with conservation of mass, stability, numerical dissipation, overshoot, flexibility, and efficiency. We recommend the random-walk model formulation for Lawrence Livermore Laboratory's purposes as the most flexible, accurate and relatively efficient modeling approach that overcomes these difficulties.

Evenson, D.E.; Dettinger, M.D.

1980-05-01T23:59:59.000Z

128

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

E-Print Network (OSTI)

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

Adam, Salah

129

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

130

An Analytic Model for Colluding Processes Stephen M. Watt  

E-Print Network (OSTI)

An Analytic Model for Colluding Processes Stephen M. Watt University of Western Ontario London, Canada www.csd.uwo.ca/watt Abstract--We develop a quantitative framework in order to understand how

Watt, Stephen M.

131

Modeling designers' color decision processes through emotive choice mapping  

Science Journals Connector (OSTI)

Color selection support systems require a quantitative model of the color design decision-making process in order to support color selection strategies that further the specified goals of the designer without obstructing the unspecified goals. The system ...

Eric W. Cooper; Yuko Ishida; Katsuari Kamei

2005-07-01T23:59:59.000Z

132

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

133

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

134

Artificial neural network modeling techniques applied to the hydrodesulfurization process  

Science Journals Connector (OSTI)

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

Enrique Arce-Medina; José I. Paz-Paredes

2009-01-01T23:59:59.000Z

135

TSPA Model Development and Sensitivity Analysis of Processes Affecting  

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

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

136

SolarStat: Modeling Photovoltaic Sources through Stochastic Markov Processes  

E-Print Network (OSTI)

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

Rossi, Michele

137

Gaussian Process Modeling: Applications to Building Systems and Algorithmic  

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

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

138

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

SciTech Connect

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

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

2010-02-23T23:59:59.000Z

139

From conceptual process models to running systems: A holistic approach for the configuration of enterprise system processes  

Science Journals Connector (OSTI)

This paper proposes a method which aims at increasing the efficiency of enterprise system implementations. First, we argue that existing process modeling languages that feature different degrees of abstraction for different user groups exist and are ... Keywords: Business Process Modeling, Information Modeling Concepts, Model configuration, Reference modeling, System configuration

Alexander Dreiling; Michael Rosemann; Wil M. P. van der Aalst; Wasim Sadiq

2008-05-01T23:59:59.000Z

140

ASPEN modeling of the Tri-State indirect liquefaction process  

SciTech Connect

The ASPEN process simulator has been used to model an indirect liquefaction flowsheet patterned after that of the Tri-State project. This flowsheet uses Lurgi moving-bed gasification with synthesis gas conversion to methanol followed by further processing to gasoline using the Mobil MTG process. Models developed in this study include the following: Lurgi gasifier, Texaco gasifier, synthesis gas cooling, Rectisol, methanol synthesis, methanol-to-gasoline, CO-shift, methanation, and naphtha hydrotreating. These models have been successfully developed in modular form so that they can be used to simulate a number of different flowsheets or process alternatives. Simulations of the Tri-State flowsheet have been made using two different coal feed rates and two types of feed coal. The overall simulation model was adjusted to match the Tri-State flowsheet values for methanol, LPG, isobutane, and gasoline. As a result of this adjustment, the MTG reactor yield structure necessary to match the flowsheet product rates was determined. The models were exercised at different flow rates and were unaffected by such changes, demonstrating their range of operability. The use of Illinois No. 6 coal, with its lower ash content, resulted in slightly higher production rates for each of the products as compared to use of the Kentucky coal.

Begovich, J.M.; Clinton, J.H.; Johnson, P.J.; Barker, R.E.

1983-01-01T23:59:59.000Z

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

Artificial neural network application for modeling the rail rolling process  

Science Journals Connector (OSTI)

Abstract Rail rolling process is one of the most complicated hot rolling processes. Evaluating the effects of parametric values on this complex process is only possible through modeling. In this study, the production parameters of different types of rails in the rail rolling processes were modeled with an artificial neural network (ANN), and it was aimed to obtain optimum parameter values for a different type of rail. For this purpose, the data from the Rail and Profile Rolling Mill in Kardemir Iron & Steel Works Co. (Karabük, Turkey) were used. BD1, BD2, and Tandem are three main parts of the rolling mill, and in order to obtain the force values of the 49 kg/m rail in each pass for the BD1 and BD2 sections, the force and torque values for the Tandem section, parameter values of 60, 54, 46, and 33 kg/m type rails were used. Comparing the results obtained from the ANN model and the actual field data demonstrated that force and torque values were obtained with acceptable error rates. The results of the present study demonstrated that ANN is an effective and reliable method to acquire data required for producing a new rail, and concerning the rail production process, it provides a productive way for accurate and fast decision making.

Hüseyin Alt?nkaya; ?lhami M. Orak; ?smail Esen

2014-01-01T23:59:59.000Z

142

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

SciTech Connect

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

143

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

144

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.

145

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

146

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.

147

Adoption Process for VoIP: The UTAUT Model  

Science Journals Connector (OSTI)

This study tests the appropriateness of the Unified Theory of Acceptance and Use of Technology UTAUT model in the context of end user consumption by means of an online survey with four hundred and seventy five respondents 24% response rate. The study ... Keywords: Adoption Process, Consumer Behavior, New Technology, Unified Theory of Acceptance and Use of Technology, Voice over Internet Protocol VoIP

Eduardo Esteva-Armida; Alberto Rubio-Sanchez

2012-10-01T23:59:59.000Z

148

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.

149

Particle Tracking Model and Abstraction of Transport Processes  

SciTech Connect

The purpose of this report is to document the abstraction model being used in total system performance assessment (TSPA) model calculations for radionuclide transport in the unsaturated zone (UZ). The UZ transport abstraction model uses the particle-tracking method that is incorporated into the finite element heat and mass model (FEHM) computer code (Zyvoloski et al. 1997 [DIRS 100615]) to simulate radionuclide transport in the UZ. This report outlines the assumptions, design, and testing of a model for calculating radionuclide transport in the UZ at Yucca Mountain. In addition, methods for determining and inputting transport parameters are outlined for use in the TSPA for license application (LA) analyses. Process-level transport model calculations are documented in another report for the UZ (BSC 2004 [DIRS 164500]). Three-dimensional, dual-permeability flow fields generated to characterize UZ flow (documented by BSC 2004 [DIRS 169861]; DTN: LB03023DSSCP9I.001 [DIRS 163044]) are converted to make them compatible with the FEHM code for use in this abstraction model. This report establishes the numerical method and demonstrates the use of the model that is intended to represent UZ transport in the TSPA-LA. Capability of the UZ barrier for retarding the transport is demonstrated in this report, and by the underlying process model (BSC 2004 [DIRS 164500]). The technical scope, content, and management of this report are described in the planning document ''Technical Work Plan for: Unsaturated Zone Transport Model Report Integration'' (BSC 2004 [DIRS 171282]). Deviations from the technical work plan (TWP) are noted within the text of this report, as appropriate. The latest version of this document is being prepared principally to correct parameter values found to be in error due to transcription errors, changes in source data that were not captured in the report, calculation errors, and errors in interpretation of source data.

B. Robinson

2004-10-21T23:59:59.000Z

150

CHEOPS: A tool-integration platform for chemical process modelling and simulation  

Science Journals Connector (OSTI)

A large number of modelling tools exist for the construction and solution of mathematical models of chemical processes. Each (chemical) process modelling tool provides its own model ... This paper presents a conc...

G. Schopfer; A. Yang; L. von Wedel…

2004-08-01T23:59:59.000Z

151

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

152

Three-dimensional modelling and geothermal process simulation  

SciTech Connect

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

153

Large scale molecular dynamics modeling of materials fabrication processes  

SciTech Connect

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

154

Appendix 3-1-Reflections on the data collection and modeling process In this document I briefly discuss the process used for data gathering, model building,  

E-Print Network (OSTI)

discuss the process used for data gathering, model building, and model analysis that I employed. Therefore I leave the comprehensive description of the qualitative research process and model building generation - July 2004: building a qualitative model - August 2004: Building a detailed simulation model

Rahmandad, Hazhir

155

Evaluation and comparison of models and modelling tools simulating nitrogen processes in treatment wetlands  

Science Journals Connector (OSTI)

In this paper, two ecological models of nitrogen processes in treatment wetlands have been evaluated and compared. These models were implemented, simulated, and visualized using the Modelica modelling and simulation language [P. Fritzson, Principles of Object-Oriented Modelling and Simulation with Modelica 2.1 (Wiley-IEEE Press, USA, 2004).] and an associated tool. The differences and similarities between the MathModelica Model Editor and three other ecological modelling tools have also been evaluated. The results show that the models can well be modelled and simulated in the MathModelica Model Editor, and that nitrogen decrease in a constructed treatment wetland should be described and simulated using the Nitrification/Denitrification model as this model has the highest overall quality score and provides a more variable environment.

Stina Edelfeldt; Peter Fritzson

2008-01-01T23:59:59.000Z

156

Modeling of a Signal Processing System for Aircraft Air Data  

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

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

157

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

158

Predictive Model for Environmental Assessment in Additive Manufacturing Process  

Science Journals Connector (OSTI)

Abstract Additive Manufacturing is an innovative way to produce parts. However its environmental impact is unknown. To ensure the development of additive manufacturing processes it seems important to develop the concept of DFSAM (Design for Sustainable Additive Manufacturing). In fact, one of the objectives of environmental sustainable manufacturing is to minimize the whole flux consumption (electricity, material and fluids) during manufacturing step. To achieve this goal, it is interesting to get a predictive model of consumptions, integrated in the design step, allowing to evaluate the product's environmental impact during the manufacturing step. This paper presents a new methodology for electric, fluids and raw material consumptions assessment for additive manufacturing processes, in particular for a direct metal deposition process. The methodology will help engineers to design parts optimized for additive manufacturing with an environmental point of view.

Florent Le Bourhis; Olivier Kerbrat; Lucas Dembinski; Jean-Yves Hascoet; Pascal Mognol

2014-01-01T23:59:59.000Z

159

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

SciTech Connect

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

160

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

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

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

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

Towards Flexible and High-Level Modeling and Enacting of Processes  

Science Journals Connector (OSTI)

Process modeling and enacting concepts are at the center of workflow management. Support for heterogeneous processes, flexibility, reuse, and distribution are great challenges for the design of the next generation process modeling languages and their ...

Gregor Joeris; Otthein Herzog

1999-06-01T23:59:59.000Z

162

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

163

Modelling and Simulation of Process Configurations Combining Distillation and Reaction.  

E-Print Network (OSTI)

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

Jakobsson, Kaj

2005-01-01T23:59:59.000Z

164

Modelling and simulation of process configurations combining distillation and reaction.  

E-Print Network (OSTI)

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

Jakobsson, Kaj

2005-01-01T23:59:59.000Z

165

Modeling languages for business processes and business rules: A representational analysis  

Science Journals Connector (OSTI)

Process modeling and rule modeling languages are both used to document organizational policies and procedures. To date, their synergies and overlap are under-researched. Understanding the relationship between the two modeling types would allow organizations ... Keywords: BPMN, BWW, Business process management, Business process modeling, Business rule modeling, PRR, Representation theory, SBVR, SRML, SWRL

Michael zur Muehlen; Marta Indulska

2010-06-01T23:59:59.000Z

166

Gold Standard Program Model | Open Energy Information  

Open Energy Info (EERE)

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

167

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

SciTech Connect

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

Beverly Law; David Turner; Warren Cohen; Mathias Goeckede

2008-05-22T23:59:59.000Z

168

Model and Analytic Processes for Export License Assessments  

SciTech Connect

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

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

2011-09-29T23:59:59.000Z

169

Fundamental Chemical Kinetic And Thermodynamic Data For Purex Process Models  

SciTech Connect

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

170

The Benchmark Evaluation Process: From Experimental Data to Benchmark Model  

SciTech Connect

The International Criticality Safety Benchmark Evaluation Project (ICSBEP) provides a handbook of descriptions, evaluations, and models of experiments with fissionable material. The 'International Handbook of Evaluated Criticality Safety Benchmark Experiments' (ICSBEP Handbook) is useful for criticality safety analysts and nuclear-data evaluators for validation of neutron transport codes and nuclear cross-section sets. Each of the four main parts of the ICSBEP document provides valuable information. The four parts are as follows: Part 1, detailed description of the experiment; Part 2, evaluation of experimental data to obtain parameter values that define the model and their uncertainties; Part 3, derivation and concise description of the benchmark model; and Part 4, sample calculation results. The ICSBEP Handbook provides a practical, standardized format for documenting nuclear experiments.Valuable, previously unknown data are often discovered during the evaluation process. Besides these discoveries, many other things have been learned during this first decade of evaluating and providing benchmark models of experiments. The current method is described in order to improve understanding of what is required to evaluate benchmark experiments for validation purposes.

Dean, Virginia A.F. [Consultant, Idaho National Engineering and Environmental Laboratory (United States)

2003-09-15T23:59:59.000Z

171

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

172

Evaluating Energy Efficiency Policies with Energy-Economy Models  

SciTech Connect

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

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

2010-08-01T23:59:59.000Z

173

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

174

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis  

Science Journals Connector (OSTI)

Toward Novel Hybrid Biomass, Coal, and Natural Gas Processes for Satisfying Current Transportation Fuel Demands, 1: Process Alternatives, Gasification Modeling, Process Simulation, and Economic Analysis ... This paper, which is the first part of a series of papers, introduces a hybrid coal, biomass, and natural gas to liquids (CBGTL) process that can produce transportation fuels in ratios consistent with current U.S. transportation fuel demands. ... Steady-state process simulation results based on Aspen Plus are presented for the seven process alternatives with a detailed economic analysis performed using the Aspen Process Economic Analyzer and unit cost functions obtained from literature. ...

Richard C. Baliban; Josephine A. Elia; Christodoulos A. Floudas

2010-07-19T23:59:59.000Z

175

Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems  

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

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

176

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

177

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

178

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

179

Modeling Sorption and Exchange Processes in Column Experiments and Large Scale Field Studies  

Science Journals Connector (OSTI)

This paper demonstrates the possibilities of reactive transport modeling in predicting contaminant transport processes of laboratory and field scales. Basic approaches of reactive transport modeling are discu...

Olaf Nitzsche; Harry Vereecken

2002-04-01T23:59:59.000Z

180

DRIFT-SCALE COUPLED PROCESSES (DST AND TH SEEPAGE) MODELS  

SciTech Connect

The purpose of this report is to document drift-scale modeling work performed to evaluate the thermal-hydrological (TH) behavior in Yucca Mountain fractured rock close to waste emplacement drifts. The heat generated by the decay of radioactive waste results in rock temperatures elevated from ambient for thousands of years after emplacement. Depending on the thermal load, these temperatures are high enough to cause boiling conditions in the rock, giving rise to water redistribution and altered flow paths. The predictive simulations described in this report are intended to investigate fluid flow in the vicinity of an emplacement drift for a range of thermal loads. Understanding the TH coupled processes is important for the performance of the repository because the thermally driven water saturation changes affect the potential seepage of water into waste emplacement drifts. Seepage of water is important because if enough water gets into the emplacement drifts and comes into contact with any exposed radionuclides, it may then be possible for the radionuclides to be transported out of the drifts and to the groundwater below the drifts. For above-boiling rock temperatures, vaporization of percolating water in the fractured rock overlying the repository can provide an important barrier capability that greatly reduces (and possibly eliminates) the potential of water seeping into the emplacement drifts. In addition to this thermal process, water is inhibited from entering the drift opening by capillary forces, which occur under both ambient and thermal conditions (capillary barrier). The combined barrier capability of vaporization processes and capillary forces in the near-field rock during the thermal period of the repository is analyzed and discussed in this report.

J.T. Birkholzer; S. Mukhopadhyay

2005-01-13T23:59:59.000Z

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.


181

Development of an equipment management model to improve effectiveness of processes  

SciTech Connect

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

Chang, H. S.; Ju, T. Y.; Song, T. Y. [Korea Hydro and Nuclear Power Co., Ltd., 25-1 Jang-dong, Yuseong-gu, Daejeon, 305-343 (Korea, Republic of)

2012-07-01T23:59:59.000Z

182

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

Science Journals Connector (OSTI)

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

John M. Lanicci

2012-05-01T23:59:59.000Z

183

Modeling of additive manufacturing process relevant feature in layer based manufacturing process planning  

Science Journals Connector (OSTI)

Compared with general machining processes, additive manufacturing (AM) process has stabler planning route ... approach is applied to the process planning of additive manufacturing in this paper. The concept of “....

Xi-juan Liu ???

2012-04-01T23:59:59.000Z

184

Application of Gaussian Process Modeling to Analysis of Functional Unreliability  

SciTech Connect

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

185

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.

186

GoPoMoSA: A Goal-Oriented Process Modeling and Simulation Advisor  

E-Print Network (OSTI)

and improvement. This paper presents GoPoMoSA (Goal-oriented Process Modeling and Simulation Advisor), a semi-automatedGoPoMoSA: A Goal-Oriented Process Modeling and Simulation Advisor Xu Bai and LiGuo Huang Dept and Simulation Advisor that semi-automatically discovers suitable Software Process Modeling and Simula- tion

Egyed, Alexander

187

Representing Cloud Processing of Aerosol in Numerical Models  

SciTech Connect

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

188

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups  

E-Print Network (OSTI)

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups Minjung, and then we use the model to analyze terrorism data. We see that the richer Dirichlet process random effects, empirical studies of terrorism, logistic regression, gen- eralized linear mixed models, hierarchical models

Gill, Jeff

189

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

190

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

191

Numerical modeling of a wing skin peen forming process  

Science Journals Connector (OSTI)

For many years shot peering has been used to provide fatigue resistance and form to airplane wing skins at the Boeing Commercial Airplane Company. In this process, ... to replicate the shot peening process used a...

R. D. VanLuchene; E. J. Cramer

1996-12-01T23:59:59.000Z

192

Multiphase CFD-based models for chemical looping combustion process: Fuel reactor modeling  

SciTech Connect

Chemical looping combustion (CLC) is a flameless two-step fuel combustion that produces a pure CO2 stream, ready for compression and sequestration. The process is composed of two interconnected fluidized bed reactors. The air reactor which is a conventional circulating fluidized bed and the fuel reactor which is a bubbling fluidized bed. The basic principle is to avoid the direct contact of air and fuel during the combustion by introducing a highly-reactive metal particle, referred to as oxygen carrier, to transport oxygen from the air to the fuel. In the process, the products from combustion are kept separated from the rest of the flue gases namely nitrogen and excess oxygen. This process eliminates the energy intensive step to separate the CO2 from nitrogen-rich flue gas that reduce the thermal efficiency. Fundamental knowledge of multiphase reactive fluid dynamic behavior of the gas–solid flow is essential for the optimization and operation of a chemical looping combustor. Our recent thorough literature review shows that multiphase CFD-based models have not been adapted to chemical looping combustion processes in the open literature. In this study, we have developed the reaction kinetics model of the fuel reactor and implemented the kinetic model into a multiphase hydrodynamic model, MFIX, developed earlier at the National Energy Technology Laboratory. Simulated fuel reactor flows revealed high weight fraction of unburned methane fuel in the flue gas along with CO2 and H2O. This behavior implies high fuel loss at the exit of the reactor and indicates the necessity to increase the residence time, say by decreasing the fuel flow rate, or to recirculate the unburned methane after condensing and removing CO2.

Jung, Jonghwun (ANL); Gamwo, I.K.

2008-04-21T23:59:59.000Z

193

Multi-scale process and supply chain modelling: from lignocellulosic feedstock to process and products  

Science Journals Connector (OSTI)

...process net profit pyrolysis for corn stover net profit = F(transportation...pressure) enzymatic hydrolysis for energy crops net profit = F(transportation...hybrid process for a mixture of corn stover, energy crops and forest residue net profit...

2011-01-01T23:59:59.000Z

194

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

195

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

196

Multi-scale modeling of laser cladding process .  

E-Print Network (OSTI)

??"Laser cladding is an additive manufacturing process in which a laser generates a melt-pool on the substrate material while a second material in a powder… (more)

Cao, Yunfeng, 1977-

2006-01-01T23:59:59.000Z

197

A mesoscopic approach to modeling and simulation of logistics processes  

Science Journals Connector (OSTI)

Simulation models are important for planing, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very ...

Tobias Reggelin; Juri Tolujew

2011-12-01T23:59:59.000Z

198

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

199

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

200

Modeling the overcharge process of VRLA batteries , G.Q. Wang, C.Y. Wang*  

E-Print Network (OSTI)

-phase, electrochemical and thermal coupled model is developed for valve-regulated lead�acid (VRLA) batteries. Physical process with the battery model so that one can predict both electrochemical and thermal behaviors underModeling the overcharge process of VRLA batteries W.B. Gu1 , G.Q. Wang, C.Y. Wang* Department

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

Discovering Concurrent Process Models in Data: A Rough Set Approach  

Science Journals Connector (OSTI)

The aim of the lecture is to provide a survey of state of the art related to a research direction concerning relationships between rough set theory and concurrency in the context of process mining in data. The main goal of this review is the general ... Keywords: Knowledge discovery, Petri nets, concurrent systems, data mining, process mining, rough sets

Zbigniew Suraj

2009-12-01T23:59:59.000Z

202

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

203

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 Mart�n2 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.

204

Quality Guidelines for Energy System Studies Process Modeling...  

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

205

Computational Modeling of Relevant Automotive Rotary Spray Painting Process  

Science Journals Connector (OSTI)

During the automotive spray painting process, metallic car shells are conveyed at ... specified constant rectilinear speed through the booth. Robot-assisted rotary atomizers spray the car shell ... path particula...

Abraham J. Salazar

2013-01-01T23:59:59.000Z

206

Enzymatic corn wet milling: engineering process and cost model  

Science Journals Connector (OSTI)

Enzymatic corn wet milling (E-milling) is a process derived from conventional wet milling for the recovery and purification of starch ... the total starch production in USA by conventional wet milling equaled 23 ...

Edna C Ramírez; David B Johnston; Andrew J McAloon…

2009-01-01T23:59:59.000Z

207

Discovering Concurrent Process Models in Data: A Rough Set Approach  

Science Journals Connector (OSTI)

The aim of the lecture is to provide a survey of state of the art related to a research direction concerning relationships between rough set theory and concurrency in the context of process mining in data. The...

Zbigniew Suraj

2009-01-01T23:59:59.000Z

208

Process Simulation, Modeling & Design for Soybean Oil Extraction Using Liquid Propane.  

E-Print Network (OSTI)

??This study investigates the use of liquid propane for soybean oil extraction and the use of commercial software for process modeling and simulation. Soybean oil… (more)

Patrachari, Anirudh Ramanujan

2008-01-01T23:59:59.000Z

209

Multi-scale process and supply chain modelling: from lignocellulosic feedstock to process and products  

Science Journals Connector (OSTI)

...immediately after designing an infrastructure network and considers a fixed infrastructure over a certain time period...classifications of supply chain. infrastructure network design supply...temperature and pressure) hybrid process for a mixture...

2011-01-01T23:59:59.000Z

210

Mathematical modelling of maintained systems using point processes  

Science Journals Connector (OSTI)

......various models based on the sum of residual squares. An inherently different...failure times in days of two gas compressors at Norsk Hydro in...obtained from a hydroelectric turbine of the B.C.Hydro-Power...alert model to the data set of a gas generator. They found that......

A. Syamsundar; V. N. A. Naikan

2009-07-01T23:59:59.000Z

211

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

212

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

SciTech Connect

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

213

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

214

Concurrent multiscale modelling of atomistic and hydrodynamic processes in liquids  

Science Journals Connector (OSTI)

...Modelling, Moscow Institute of Nuclear Safety, , 113191 Moscow, Russia One contribution...GROMOS for the peptide. The GROMACS software package was used for integrating the...mechanism associated with downstream radiation in subsonic jets. J. Fluid Mech. 710...

2014-01-01T23:59:59.000Z

215

Mathematical modelling of maintained systems using point processes  

Science Journals Connector (OSTI)

......maintenance. The mission and vision of maintenance are decided...objectives of maintenance fixed and the policy/ techniques...model to the data set of a gas generator. They found that...highly effective. Lindqvist and Langseth (2006) applied......

A. Syamsundar and V. N. A. Naikan

2009-07-01T23:59:59.000Z

216

Mathematical modelling of maintained systems using point processes  

Science Journals Connector (OSTI)

......proportional hazards model to the electric power supply cables of electric load haul dump (LHD) machines...2002) applied the BPP to new automobile's failure data taken from...data of six AMC Ambassador automobiles belonging to the Ohio state......

A. Syamsundar; V. N. A. Naikan

2009-07-01T23:59:59.000Z

217

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

218

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

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

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

219

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

220

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

E-Print Network (OSTI)

1 A Process Modelling Framework for Formal Validation of Panama Canal System Operations John develop a process modeling framework for the evaluation and formal validation of Panama Canal system. The Panama Canal is one of the world's most important waterways. Initially opened for operation in 1914

Austin, Mark

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

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

222

Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market  

Science Journals Connector (OSTI)

Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning models of electricity markets. While these have proven quite successful in small models, few authors have attempted any validation of their model against real-world data in a more realistic model. In this paper we develop the SWEM model, where we take one of the most promising algorithms from the literature, a modified version of the Roth and Erev algorithm, and apply it to a 19-node simplification of the New Zealand electricity market. Once key variables such as water storage are accounted for, we show that our model can closely mimic short-run (weekly) electricity prices at these 19 nodes, given fundamental inputs such as fuel costs, network data, and demand. We show that agents in SWEM are able to manipulate market power when a line outage makes them an effective monopolist in the market. SWEM has already been applied to a wide variety of policy applications in the New Zealand market.22 This research was partly funded by a University of Auckland FDRF Grant #9554/3627082. The authors would like thank Andy Philpott, Golbon Zakeri, Anthony Downward, an anonymous referee, and participants at the EPOC Winter Workshop 2010 for their helpful comments.

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

223

A methodology for simultaneous modeling and control of chemical processes  

E-Print Network (OSTI)

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

Zeng, Tong

2012-06-07T23:59:59.000Z

224

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

225

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 lines of an ontological framework for the representation of BP semantics: BPAL (Business Process ontology (CBO). Today there is a renewed interest in business processes (BP), especially from

Boyer, Edmond

226

Evaluation of an integrated Knowledge Discovery and Data Mining process model  

Science Journals Connector (OSTI)

Data Mining projects are implemented by following the knowledge discovery process. This process is highly complex and iterative in nature and comprises of several phases, starting off with business understanding, and followed by data understanding, data ... Keywords: Analytical testing, CRISP-DM, Evaluation, IKDDM, Knowledge Discovery and Data Mining (KDDM) process models

Sumana Sharma; Kweku-Muata Osei-Bryson; George M. Kasper

2012-10-01T23:59:59.000Z

227

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

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

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

228

Coupling glacial lake impact, dam breach, and flood processes: A modeling perspective  

Science Journals Connector (OSTI)

Abstract Glacial lake outburst floods (GLOFs) are highly mobile mixtures of water and sediment that occur suddenly and are capable of traveling tens to hundreds of kilometers with peak discharges and volumes several orders of magnitude larger than those of normal floods. They travel along existing river channels, in some instances into populated downstream regions, and thus pose a risk to people and infrastructure. Many recent events involve process chains, such as mass movements impacting glacial lakes and triggering dam breaches with subsequent outburst floods. A concern is that effects of climate change and associated increased instability of high mountain slopes may exacerbate such process chains and associated extreme flows. Modeling tools can be used to assess the hazard of potential future GLOFs, and process modeling can provide insights into complex processes that are difficult to observe in nature. A number of numerical models have been developed and applied to simulate different types of extreme flows, but such modeling faces challenges stemming from a lack of process understanding and difficulties in measuring extreme flows for calibration purposes. Here we review the state of knowledge of key aspects of modeling GLOFs, with a focus on process cascades. Analysis and simulation of the onset, propagation, and potential impact of \\{GLOFs\\} are based on illustrative case studies. Numerical models are presently available for simulating impact waves in lakes, dam failures, and flow propagation but have been used only to a limited extent for integrated simulations of process cascades. We present a spectrum of case studies from Patagonia, the European Alps, central Asia, and the Himalayas in which we simulate single processes and process chains of past and potential future events. We conclude that process understanding and process chain modeling need to be strengthened and that research efforts should focus on a more integrative treatment of processes in numerical models.

Raphael Worni; Christian Huggel; John J. Clague; Yvonne Schaub; Markus Stoffel

2014-01-01T23:59:59.000Z

229

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

230

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

231

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

232

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

SciTech Connect

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

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

2008-10-07T23:59:59.000Z

233

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications  

E-Print Network (OSTI)

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications Yishi Lin John networks (e.g., the Internet or online social networks). Conventional approach is to use SIS model (or its derivatives). However, these models usually are over-simplified and may not be applicable in realistic

Lui, John C.S.

234

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups  

E-Print Network (OSTI)

New Findings from Terrorism Data: Dirichlet Process Random Effects Models for Latent Groups Minjung such a model can best be implemented, and then we use the model to analyze terrorism data. We seeG99. Keywords and phrases: terrorists, empirical studies of terrorism, logistic regression, gen

Casella, George

235

Conversion model aids scale-up of mobil's fluid-bed MTG process  

Science Journals Connector (OSTI)

Mobil's fluid-bed Methanol-to-Gasoline (MTG) process was successfully scaled-up, from 0.04m diameter reactor, through 0.1m, to 0.6m diameter demonstration plant. Gas tracer responses in cold flow models were interpreted by a one-dimensional axial dispersion model, and combined with reaction kinetics to develop a conversion model.

M. Edwards; A. Avidan

1986-01-01T23:59:59.000Z

236

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.

237

A novel KICA–PCA fault detection model for condition process of hydroelectric generating unit  

Science Journals Connector (OSTI)

Abstract Fault detection and diagnosis of hydroelectric generating unit (HGU) have significant importance to the security of hydropower plant and the power system. In recent years, many fault detection methods based on spectral characteristic of vibration signals have been published. However, some faults cannot be effectively recognized just with spectral features for condition process monitoring of HGU. Thus, this study presents a novel fault detection model based on kernel independent component analysis and principal component analysis (KICA–PCA) monitoring model for condition process of HGU. Each of the condition processes is equivalent to a multivariate statistical process monitoring (MSPM). KICA–PCA model of the specific MSPM is trained by normal condition process data at first. Then, confidence limits of two monitoring indices (Hotelling’s T2 statistic and SPE statistic) of the trained KICA–PCA model are used to monitor the same condition process and detect fault online. Moreover, the proposed monitoring model is applied to a real condition process of HGU. Compared to ICA–PCA and PCA monitoring model, the proposed model has superior performance in fault detection.

Wenlong Zhu; Jianzhong Zhou; Xin Xia; Chaoshun Li; Jian Xiao; Han Xiao; Xinxin Zhang

2014-01-01T23:59:59.000Z

238

Spatio-temporal statistical models with applications to atmospheric processes  

SciTech Connect

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

239

Patterns in the fermion mixing matrix, a bottom-up approach  

SciTech Connect

We first obtain the most general and compact parametrization of the unitary transformation diagonalizing any 3x3 Hermitian matrix H, as a function of its elements and eigenvalues. We then study a special class of fermion mass matrices, defined by the requirement that all of the diagonalizing unitary matrices (in the up, down, charged lepton, and neutrino sectors) contain at least one mixing angle much smaller than the other two. Our new parametrization allows us to quickly extract information on the patterns and predictions emerging from this scheme. In particular we find that the phase difference between two elements of the two mass matrices (of the sector in question) controls the generic size of one of the observable fermion mixing angles: i.e. just fixing that particular phase difference will predict the generic value of one of the mixing angles, irrespective of the value of anything else.

Couture, Gilles; Hamzaoui, Cherif [Groupe de Physique Theorique des Particules, Departement des Sciences de la Terre et de L'Atmosphere, Universite du Quebec a Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal, Quebec, H3C 3P8 (Canada); Lu, Steven S. Y. [Departement de Mathematiques, Universite du Quebec a Montreal, Case Postale 8888, Succ. Centre-Ville, Montreal, Quebec, H3C 3P8 (Canada); Toharia, Manuel [Maryland Center for Fundamental Physics, Department of Physics, University of Maryland, College Park, Maryland 20742 (United States)

2010-02-01T23:59:59.000Z

240

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

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.


241

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

242

Nanotechnology from the Bottom up: Light-Directed Synthesis of DNA Molecules  

Science Journals Connector (OSTI)

Maskless photolithography and light-protected phosphoramidite precursors are used to generate large libraries of DNA oligonucleotides. We discuss merits and challenges of using these...

Cerrina, Franco

243

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

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

Reports on synthesis of large quantities of p- and n-type nanocrystals then sintered into bulk samples with high power factors and low thermal conductivity through impurity doping and nanostructuring

244

E-Print Network 3.0 - art bottom-up methods Sample Search Results  

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

to be taken at UTA for Advanced BA in Art History ART 2300 - Methods for the Study of Art History... at Arlington Bachelor of Art in Art & Bachelor of Fine Arts This articulation...

245

Trait-based approaches to conservation physiology: forecasting environmental change risks from the bottom up  

Science Journals Connector (OSTI)

...Such trait-based conservation physiology is illustrated...rising temperatures on water loss in ectotherms...especially to inform conservation biology. At times such...from the regional pool of individuals), a...performance (e.g. water-efficient organisms...

2012-01-01T23:59:59.000Z

246

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

247

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

248

Summer School 2010 Explore NCN's Electronics from the Bottom Up and previous summer school materials at  

E-Print Network (OSTI)

nanoscale transistors, energy conversion devices and bio-sensors. The 2010 Summer School will feature pioneering studies of carrier transport in nanoscale transistors. Vidhyadhiraja Sudhindra received a PhD from

Ginzel, Matthew

249

Bottom-up regulation of a pole-ward migratory predator population  

Science Journals Connector (OSTI)

...prey availability and quality, further compromising...emissions continue to increase [59-61], it can...energy reserves) and the quality of food available to...there were 12 periods of increase (black circles) and...Several discussions over a wines with Scott Carpentier...

2014-01-01T23:59:59.000Z

250

Nutrient thresholds for bottom-up control of macroalgal blooms on ...  

Science Journals Connector (OSTI)

(Los Alamos, New Mexico). ..... injection wells .for wastcwater disposal and vertical upward .... seawater related to geothermal heating in the Floridan aquifer.

251

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

E-Print Network (OSTI)

University 1255 Western Road London, ON N6G 0N1 Canada Ph: +1 519 933-6343 Fax: 519-661-3485 E-mail: ykim@ivey.ca Fabian J. Sting Rotterdam School of Management Erasmus University Rotterdam Burgemeester Qudlaan 50 3062 PA, Rotterdam... initiated the building of a new glass-smelting reactor that enabled the plant to produce specialized solar-thermal glass tubes. Top management planned this project down to the smallest detail and led it from inception to completion. Action Plans...

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

2014-09-16T23:59:59.000Z

252

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

E-Print Network (OSTI)

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

Medina Benejam, Georgina

2011-01-01T23:59:59.000Z

253

Engineering process and cost model for a conventional corn wet milling facility  

Science Journals Connector (OSTI)

Conventional wet milling of corn is a process designed for the recovery and purification of starch and several coproducts (germ, gluten, fiber and steep liquor). The total starch produced by the wet milling industry in the USA in 2004 equaled 21.5 billion kg, including modified starches and starches used for sweeteners and ethanol production. Process engineering and cost models for a corn wet milling process (for steeping and milling facilities) have been developed for a “generic” processing plant with a capacity of 2.54 million kg of corn per day (100,000 bu/day). The process includes grain cleaning, steeping, germ separation and recovery, fiber separation and recovery, gluten separation and recovery and starch separation. Information for the development of the models was obtained from a variety of technical sources including commercial wet milling companies, industry experts and equipment suppliers. The models were developed using process and cost simulation software (SuperPro Designer®) and include processing information such as composition and flow rates of the various process streams, descriptions of the various unit operations and detailed breakdowns of the operating and capital cost of the facility. Based on the information from the model, we can estimate the cost of production per kilogram of starch using the input prices for corn and other wet milling coproducts. We have also used the model to conduct a variety of sensitivity studies utilizing modifications such as feedstock costs, corn compositional variations, and the sale of wet corn gluten feed. The model is also being used as a base-case for the development of models to test alternative processing technologies and to help in the scale-up and commercialization of new wet milling technologies. This model is available upon request from the authors for educational, non-commercial and research uses.

Edna C. Ramirez; David B. Johnston; Andrew J. McAloon; Winnie Yee; Vijay Singh

2008-01-01T23:59:59.000Z

254

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

SciTech Connect

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

255

Analysis and Modeling on the GHG Emissions in Dyeing and Finishing Processes  

Science Journals Connector (OSTI)

This paper analyzes the GHG emissions from each process in dyeing and ... energy using and industrial activities contribute the main GHG emissions. And a model is created to calculate the GHG emissions in dyeing ...

Yingxiang Fan; Ming Du; Hui Song

2011-01-01T23:59:59.000Z

256

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

257

An Evaluation of Proposed Representations of Subgrid Hydrologic Processes in Climate Models  

Science Journals Connector (OSTI)

The temporal and spatial scales that characterize surface hydrologic processes provide conceptual and practical difficulties to the development of parameterization schemes for incorporation into climate models. In particular, there is a ...

G. Thomas; A. Henderson-Sellers

1991-09-01T23:59:59.000Z

258

Generalized enthalpy model of a high-pressure shift freezing process  

Science Journals Connector (OSTI)

...non-homogeneous temperature distribution induces a non-homogeneous...computational model for temperature and sterility distributions in a pilot-scale...high-pressure high-temperature process. A.I...and Da-Wen. Sun 2009 Simulation...

2012-01-01T23:59:59.000Z

259

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

SciTech Connect

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

260

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

E-Print Network (OSTI)

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

Mumpower, M; Aprahamian, A

2014-01-01T23:59:59.000Z

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

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

262

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

263

Analysis and simplification of a mathematical model for high-pressure food processes  

Science Journals Connector (OSTI)

Nowadays, consumers look for minimally processed, additive-free food products that maintain their organoleptic properties. This has led to the development of new technologies for food processing. One emerging technology is high hydrostatic pressure, ... Keywords: Boundary layer solution, Food technology, Heat transfer, High pressure, Modelling, Separation of variables solution

N. A. S. Smith, S. L. Mitchell, A. M. Ramos

2014-01-01T23:59:59.000Z

264

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

265

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

266

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

267

MODEL FUSION: A NEW APPROACH TO PROCESSING HETEROGENOUS DATA Department of Computer Science  

E-Print Network (OSTI)

MODEL FUSION: A NEW APPROACH TO PROCESSING HETEROGENOUS DATA OMAR OCHOA Department of Computer. Flores, Ph.D. Dean of the Graduate School #12;cCopyright by Omar Ochoa 2013 #12;MODEL FUSION: A NEW;Abstract In many practical situations, it is necessary to extract information from data of different types

Kreinovich, Vladik

268

Development of an entrained flow gasifier model for process optimization study  

SciTech Connect

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

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

2009-10-15T23:59:59.000Z

269

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

270

$b \\to s \\ell\\overline{\\ell}$ process and multi-Higgs doublet model  

E-Print Network (OSTI)

Rare $b$ decay processes are analyzed in the multi-Higgs doublet model. Taking account of the constraint from the $b\\to s \\gamma$ process, the branching ratio and the forward-backward asymmetry of the final leptons for the $b\\to s \\ell^+ \\ell^-$ process are calculated. It is shown that the branching ratio can be a few times larger than the standard model prediction and the asymmetry can be significantly different from that in the standard model. Combining these observable quantities it is possible to determine complex coupling constants associated with the charged Higgs mixing matrix. The CP violating charge asymmetry in the $b\\to s \\ell^+ \\ell^-$ process and the branching ratio of the $b\\to s \

Yasuhiro Okada; Yasuhiro Shimizu; Minoru Tanaka

1997-04-03T23:59:59.000Z

271

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

272

Hierarchy-oriented modeling of enterprise architecture using reference-model of open distributed processing  

Science Journals Connector (OSTI)

Modeling Enterprise Architecture (EA) requires the representation of multiple views for an enterprise. This could be done by a team of stakeholders that essentially have different backgrounds. One way to do this is to structure the model into hierarchical ... Keywords: Alloy, Enterprise architecture, Enterprise modeling, RM-ODP, SEAM, Systems theory

Lam-Son Lê; Alain Wegmann

2013-03-01T23:59:59.000Z

273

Methodology for Modeling Building Energy Performance across the Commercial Sector  

SciTech Connect

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

274

Information modelling for variation risk management during product and process design  

Science Journals Connector (OSTI)

Different methodologies and tools are available for the management and analysis of system dependability, safety and quality. Failure mode and effect analysis (FMEA) is a widely used quality improvement and risk assessment tool in manufacturing. Accumulated information about design and process failures recorded through FMEA provides very valuable knowledge for future product and process design, (Teoh and Case 2004). However, the way the knowledge is captured poses considerable difficulties for reuse. This research aims to contribute to the reuse of FMEA knowledge through a key characteristic (KC) approach. An information modelling for FMEA is proposed to facilitate the later reuse of the knowledge collected during an FMEA, and then it is integrated with the KC model. The models are represented in the class diagrams in the format of unified modelling language, (Booch, Rumbaugh and Jacobson 1999). The FMEAâ??KC model allows for management of KCs, reusing the knowledge about causalities and relations between KCs, and validation of design robustness using FMEA knowledge.

Alaa Hassan; Jean-Yves Dantan; Ali Siadat

2007-01-01T23:59:59.000Z

275

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

SciTech Connect

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

276

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

277

Analysis of kinetic models of the methanol-to-gasoline (MTG) process in an integral reactor  

Science Journals Connector (OSTI)

From experimental results obtained in a wide range of operating conditions (temperature and contact time) in an isothermal fixed bed integral reactor, the validity both of the kinetic models proposed in the literature as well as their modifications, for the methanol-to-gasoline (MTG) process at zero time on-stream, has been studied. The kinetic parameters for the various models have been calculated by solving the equation of mass conservation in the reactor for the lumps of the kinetic models. The usefulness of the model of Schipper and Krambeck for simulating the operation in the isothermal fixed bed integral reactor has been proven in the 573–648 K range.

Ana G. Gayubo; Pedro L. Benito; Andrés T. Aguayo; Itziar Aguirre; Javier Bilbao

1996-01-01T23:59:59.000Z

278

A predictive model for the combustion process in dual fuel engines  

SciTech Connect

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

279

Deactivation models by fitting the progression of temperature profiles – Coking model for the MTG process in adiabatic reactors  

Science Journals Connector (OSTI)

Abstract A methodology for estimating deactivation models for catalysts in industrial application is proposed. The method applies the movement of the measured axial temperature profile to gain information of the deactivating phenomena. For adiabatic reactors the conditions must be obtained by controlled heat compensation in a reactor furnace. As an example a deactivation model for the industrial methanol-to-gasoline (MTG) process is developed. The deactivation model together with suitable reactor models is a system of coupled partial differential equations with time and spatial coordinate as the independent variables. The unknown model parameters are estimated via a non-linear least square method, by matching predicted axial temperature profiles with measured profiles obtained in a pilot reactor containing a gasoline synthesis test catalyst.

Martin Dan Palis Sørensen

2014-01-01T23:59:59.000Z

280

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

SciTech Connect

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

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

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

SciTech Connect

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

282

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

SciTech Connect

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

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

2006-07-01T23:59:59.000Z

283

Evaluation of high-level waste pretreatment processes with an approximate reasoning model  

SciTech Connect

The development of an approximate-reasoning (AR)-based model to analyze pretreatment options for high-level waste is presented. AR methods are used to emulate the processes used by experts in arriving at a judgment. In this paper, the authors first consider two specific issues in applying AR to the analysis of pretreatment options. They examine how to combine quantitative and qualitative evidence to infer the acceptability of a process result using the example of cesium content in low-level waste. They then demonstrate the use of simple physical models to structure expert elicitation and to produce inferences consistent with a problem involving waste particle size effects.

Bott, T.F.; Eisenhawer, S.W.; Agnew, S.F.

1999-04-01T23:59:59.000Z

284

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

SciTech Connect

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

285

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

SciTech Connect

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

286

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

SciTech Connect

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

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

2011-03-02T23:59:59.000Z

287

ASPEN modeling of the Tri-State indirect-liquefaction process  

SciTech Connect

The ASPEN process simulator has been used to model an indirect-liquefaction flowsheet patterned after that of the Tri-State project. This flowsheet uses Lurgi moving-bed gasification with synthesis-gas conversion to methanol folowed by further processing to gasoline using the Mobil MTG process. Models developed in this study include the following: Lurgi gasifier, Texaco gasifier, synthesis gas cooling, Rectisol, methanol synthesis, methanol-to-gasoline, CO-shift, methanation, and naphtha hydrotreating. These models have been successfully developed in modular form so that they can be used to simulate a number of different flowsheets or process alternatives. Simulations of the Tri-State flowsheet have been made using two different coal-feed rates and two types of feed coal. The overall simulation model was adjusted to match the Tri-State flowsheet values for methanol, LPG, isobutane, and gasoline. As a result of this adjustment, the MTG reactor yield structure necessary to match the flowsheet product rates was determined. The models were exercised at different flow rates and were unaffected by such changes, demonstrating their range of operability. The use of Illinois No. 6 coal, with its lower ash content, resulted in slightly higher production rates of each of the products as compared to use of the Kentucky coal.

Barker, R.E.; Begovich, J.M.; Clinton, J.H.; Johnson, P.J.

1983-10-01T23:59:59.000Z

288

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

E-Print Network (OSTI)

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

1997-01-01T23:59:59.000Z

289

Computational modelling of transport phenomena in high energy materials processing application: large eddy simulation and parallelisation  

Science Journals Connector (OSTI)

A comprehensive three-dimensional numerical model is presented in order to address the coupled turbulent momentum, heat and species transport during molten metal-pool convection in association with continuous evolution of solid-liquid interface typically encountered in high energy materials processing applications. The turbulent aspect is handled by a large eddy simulation (LES) model and the phase changing phenomena is taken care of by a modified enthalpy-porosity technique. The proposed finite volume based LES model is subsequently parallelised for effective computational economy. To demonstrate the effectiveness of the present model, a systematic analysis is subsequently carried out to simulate a typical high power laser surface alloying process, where the effects of turbulent transport can actually be realised.

Dipankar Chatterjee

2011-01-01T23:59:59.000Z

290

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

SciTech Connect

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

291

Promising process to distinguish supersymmetric models with large tan ? from the standard model: B?Xs?+?-  

Science Journals Connector (OSTI)

It is shown that in supersymmetric models the large supersymmetric contributions to B?Xs?+?- come from the Feynman diagrams which consist of exchanging neutral Higgs boson loops and are proportional to mbm?tan3?/mh2 when tan ? is large and the mass of the lightest neutral Higgs boson mh is not too large (say, less than 150 GeV). Numerical results show that the branching ratios of B?Xs?+?- can be enhanced by more than 100% compared to the standard model (SM) and the backward-forward asymmetry of the lepton is significantly different from that in the SM when tan ??30.

Chao-Shang Huang, Wei Liao, and Qi-Shu Yan

1998-11-17T23:59:59.000Z

292

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

293

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

294

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

295

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.

296

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

297

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

298

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

299

Modeling Process Characteristics and Performance of Fixed and Fluidized Bed Regenerative Thermal Oxidizer  

Science Journals Connector (OSTI)

Modeling Process Characteristics and Performance of Fixed and Fluidized Bed Regenerative Thermal Oxidizer ... (7)?Cheng, W.-H.; Chou, M.-S.; Lee, W.-S.; Huang, B.-J. Applications of Low-Temperature Regenerative Thermal Oxidizers to Treat Volatile Organic Compounds. ...

Pietropaolo Morrone; Francesco P. Di Maio; Alberto Di Renzo; Mario Amelio

2006-05-26T23:59:59.000Z

300

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

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


301

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

302

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

303

Modeling and Optimization of the Turbo-Compression Chiller Systems in the LCD Process  

Science Journals Connector (OSTI)

Modeling and Optimization of the Turbo-Compression Chiller Systems in the LCD Process ... The refrigerator can be divided into two parts, as shown in Figure 2: the mechanical part, consisting of a compressor, an expander or a valve, and two heat exchangers (e.g., an evaporator and a condenser); and the chemical-material part of the refrigerant cycle. ...

Changhyun Jeong; Kiwook Song; Jiyeon Nam; Chonghun Han

2012-01-16T23:59:59.000Z

304

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

305

A Novel Approach to Process Modeling for Instrument Surveillance and Calibration Verification  

SciTech Connect

This work presents an empirical modeling approach combining a bilinear modeling technique, partial least squares, with the universal function approximation abilities of single hidden layer nonlinear artificial neural networks. This approach, referred to as neural network partial least squares (NNPLS), is compared to the common autoassociative artificial neural network. The NNPLS model is embedded into a graphical user interface and implemented at the Electrical Power Research Institute's Instrumentation and Control Center located at Tennessee Valley Authority's Kingston fossil power plant. Results are presented for 51 process signals with an average absolute estimation error of {approx}1.7% of the mean value, and sample drift detection performances are shown.

Rasmussen, Brandon; Hines, J. Wesley; Uhrig, Robert E. [University of Tennessee (United States)

2003-08-15T23:59:59.000Z

306

Kinetic model of the MTG process taking into account the catalyst deactivation. Reactor simulation  

Science Journals Connector (OSTI)

A kinetic model for the deactivation of catalyst (based on a HZSM5 zeolite) in the transformation of methanol into gasoline is proposed from results obtained in an isothermal fixed bed integral reactor. The kinetic model takes into account the effect of the composition of the lumps of oxygenates, light olefins and rest of products on the catalyst deactivation along the reactor. The model allows for simulating the integral reactor and for studying the influence of the operating conditions on selectivity towards different lumps in the MTG process. The resukts have been experimentally proven in an isothermal integral reactor and are in agreement with the results of coke deposition along the reactor.

A.G. Gayubo; P.L. Benito; A.T. Aguayo; M. Castilla; J. Bilbao

1996-01-01T23:59:59.000Z

307

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

E-Print Network (OSTI)

systems and formworks, are good examples. Although these structures play a significant role in the logistics of the jobsite, there are neither a special tools nor predefined objects in BIM applications to help model these elements. In this case study a...

Sabahi, Parsa

2012-02-14T23:59:59.000Z

308

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

SciTech Connect

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

309

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

310

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

311

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

SciTech Connect

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

Ray, W. Harmon

2002-06-05T23:59:59.000Z

312

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

SciTech Connect

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

313

Feedforward artificial neural network to improve model predictive control in biological processes  

Science Journals Connector (OSTI)

Artificial neural networks (ANNs) offer the versatility of being able to model the dynamics of a biosystem without requiring a phenomenological model. In addition, model predictive control (MPC) is a member of advanced discrete-time process control algorithms. The recent developments in the biotechnology due to MPC utilising the capability of ANN make the practical application of non-linear process control strategies a reality. This paper reviews the recent enhancement and applications of MPC in various biochemical processes using feedforward artificial neural networks which is also known as neural predictive control. The capability of neural predictive control to handle the common problems associated with biochemical processes, namely optimisation of objective function, optimisation of dynamic behaviour of the system, control of ill-defined non-linear systems, improving the computational efficiency of the strategy, disturbance rejection ability and evaluating the control effectiveness are discussed. The review clearly indicates that enormous work has been carried out involving dynamic behaviour of the bioreactor system which is analysed and optimised revealing that feedforward neural network has evolved as a good bioreactor neuro-controller.

Senthil Kumar Arumugasamy; Zainal Ahmad

2011-01-01T23:59:59.000Z

314

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

SciTech Connect

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

315

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

316

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

SciTech Connect

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

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

2009-10-22T23:59:59.000Z

317

Process modeling and thermodynamic analysis of Lurgi fixed-bed coal gasifier in an SNG plant  

Science Journals Connector (OSTI)

Abstract This paper presents a comprehensive steady state kinetic model of a commercial-scale pressurized Lurgi fixed-bed dry bottom coal gasifier. The model is developed using the simulator Aspen Plus. Five sequential modules: drying zone, pyrolysis zone, gasification zone, combustion zone and overall heat recovery unit, are considered in the main process model. A non-linear programming (NLP) model is employed to estimate the pyrolysis products, which include char, coal gas and high-weight hydrocarbons/distillable liquids (tar, phenol, naphtha and oil). To accelerate solution convergence, an external FORTRAN subroutine is used to simulate the kinetics of the combustion and gasification processes which are formulated in terms of a series of continuous stirred-tank reactors. The model is validated with industrial data. The effects of two key operating parameters, namely oxygen/coal mass ratio and steam/coal mass ratio, on the thermodynamic efficiencies of the Lurgi gasifier and the gasification system as a whole are investigated via extensive simulation studies.

Chang He; Xiao Feng; Khim Hoong Chu

2013-01-01T23:59:59.000Z

318

A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring  

SciTech Connect

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

319

Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach  

Science Journals Connector (OSTI)

Abstract Uncertainty in sensor data (e.g., weather, occupancy) complicates the construction of baseline models for measurement and verification (M&V). We present a Monte Carlo expectation maximization (MCEM) framework for constructing baseline Gaussian process (GP) models under uncertain input data. We demonstrate that the GP-MCEM framework yields more robust predictions and confidence levels compared with standard GP training approaches that neglect uncertainty. We argue that the approach can also reduce data needs because it implicitly expands the data range used for training and can thus be used as a mechanism to reduce data collection and sensor installation costs in M&V processes. We analyze the numerical behavior of the framework and conclude that robust predictions can be obtained with relatively few samples.

Michael C. Burkhart; Yeonsook Heo; Victor M. Zavala

2014-01-01T23:59:59.000Z

320

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

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

Numerical modelling of solid fuel combustion processes using advanced CFD-based simulation tools  

Science Journals Connector (OSTI)

Computational modelling of combustion processes has been the subject of coninuous research at the Institute of Process Engineering and Power Plant Technology (IVD) over the last two decades. To this end, finite-volume-based computer codes have been developed. In the present paper, some fundamental ideas and approaches of the applied mathematical models and the numerical methods are described, followed by some examples of typical applications of the procedures with special emphasis on the validation of simulation results. These examples show that the application of combustion simulation codes has been extended to comprise a wide range of several different areas ranging from huge bituminous coal-fired utility boilers for electricity production to decentralised small-scale furnaces and tile stove heating inserts for domestic heating.

Uwe Schnell

2001-01-01T23:59:59.000Z

322

Design and modelling of a new form-fill-seal process  

E-Print Network (OSTI)

intermittent sealing mechanism pouch advance mechanism filling and air blowing mechanism control system 16 19 21 24 26 28 IV DESIGN PARAMETERS FOR A PROTOTYPE MACHINE 33 The The The The The The tube feeding mechanism continuous sealing... mechanism intermittent sealing mechanism pouch advance mechanism filling and air blowing mechanism control system 33 34 36 36 38 39 CHAPTER V MODELLING OF THE FORM-FILL-SEAL Page PROCESS COMPONENTS 45 The drive motor and feed back The strip...

Kalamdani, Rajeev Satyabodh

2012-06-07T23:59:59.000Z

323

An evaluation of Substitute natural gas production from different coal gasification processes based on modeling  

Science Journals Connector (OSTI)

Coal and lignite will play a significant role in the future energy production. However, the technical options for the reduction of CO2 emissions will define the extent of their share in the future energy mix. The production of synthetic or substitute natural gas (SNG) from solid fossil fuels seems to be a very attractive process: coal and lignite can be upgraded into a methane rich gas which can be transported and further used in high efficient power systems coupled with CO2 sequestration technologies. The aim of this paper is to present a modeling analysis comparison between substitute natural gas production from coal by means of allothermal steam gasification and autothermal oxygen gasification. In order to produce SNG from syngas several unit operations are required such as syngas cooling, cleaning, potential compression and, of course, methanation reactors. Finally the gas which is produced has to be conditioned i.e. removal of unwanted species, such as CO2 etc. The heat recovered from the overall process is utilized by a steam cycle, producing power. These processes were modeled with the computer software IPSEpro™. An energetic and exergetic analysis of the coal to SNG processes have been realized and compared.

S. Karellas; K.D. Panopoulos; G. Panousis; A. Rigas; J. Karl; E. Kakaras

2012-01-01T23:59:59.000Z

324

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

SciTech Connect

It is now a well-acclaimed fact that burning fossil fuels and deforestation are major contributors to climate change. Biomass from plants can serve as an alternative renewable and carbon-neutral raw material for the production of bioenergy. Low densities of 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

325

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

SciTech Connect

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

326

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

327

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

SciTech Connect

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

328

Reflective and Automatic Processes in Health Care Professional Behaviour: a Dual Process Model Tested Across Multiple Behaviours  

Science Journals Connector (OSTI)

Clinicians’ behaviours require deliberate decision-making in complex contexts and may involve both impulsive (automatic) and reflective (motivational and volitional) processes.

Justin Presseau Ph.D.; Marie Johnston PhD…

2014-12-01T23:59:59.000Z

329

A process-oriented model for efficient execution of dataflow programs  

Science Journals Connector (OSTI)

Dividing computation into subtasks that can be executed on separate processing elements is a very difficult task. Dataflow systems represent an extreme case where each machine instruction is an independent subcomputation. As a consequence, the execution overhead is very high. In this paper, we present an execution model for dataflow where the unit of computation is not a single instruction. Rather, the dataflow graph is divided into paths according to their data dependencies. Each path is then treated as a very simple process: it is loaded into memory; it switches between ready, running, and block states; and it communicates with other such processes through messages. The main advantage of the proposed approach over conventional approaches to parallelism is that there is a mechanical way of creating subcomputations that can be executed in parallel. At the same time, this approach does not suffer from the inefficiencies inherent to purely dataflow systems. Instead, it permits the granularity of processes to be adjusted to achieve a balance between the amount of parallelism that can usefully be exploited and the amount of sequential execution that can be handled effectively within one process.

Lubomir Bic

1990-01-01T23:59:59.000Z

330

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

331

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

332

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

333

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

E-Print Network (OSTI)

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

Soatto, Stefano

334

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.

335

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.

336

Gaussian process modeling for measurement and verification of building energy savings  

Science Journals Connector (OSTI)

We present a Gaussian process (GP) modeling framework to determine energy savings and uncertainty levels in measurement and verification (M&V) practices. Existing M&V guidelines provide savings calculation procedures based on linear regression techniques that are limited in their predictive and uncertainty estimation capabilities. We demonstrate that, unlike linear regression, GP models can capture complex nonlinear and multivariable interactions as well as multiresolution trends of energy behavior. In addition, because GP models are developed under a Bayesian setting, they can capture different sources of uncertainty in a more systematic way. We demonstrate that these capabilities can ultimately lead to significantly less expensive M&V practices. We illustrate the developments using simulated and real data settings.

Yeonsook Heo; Victor M. Zavala

2012-01-01T23:59:59.000Z

337

Mathematical modelling of some chemical and physical processes in underground coal gasification  

SciTech Connect

Underground coal gasification normally involves two vertical wells which must be linked by a channel having low resistance to gas flow. There are several ways of establishing such linkage, but all leave a relatively open horizontal hole with a diameter on the order of a meter. To increase our understanding of the chemical and physical processes governing underground coal gasification LLNL has been conducting laboratory scale experiments accompanied by mathematical modelling. Blocks of selected coal types are cut to fit 55 gallon oil drums and sealed in place with plaster. A 1 cm. diameter hole is drilled the length of the block and plumbing attached to provide a flow of air or oxygen/steam mixture. After an instrumented burn the block is sawed open to examine the cavity. Mathematical modelling has been directed towards predicting the cavity shape. This paper describes some sub-models and examines their impact on predicted cavity shapes.

Creighton, J. R.

1981-08-01T23:59:59.000Z

338

Concentration-dependent kinetic model for catalyst deactivation in the MTG process  

SciTech Connect

From experimental results obtained in a wide range of operating conditions (temperature and contact time) in an isothermal fixed-bed integral reactor, the usefulness of the model of Schipper and Krambeck for simulating the operation has been proven in the 300--375 C range. The validity of a deactivation kinetic model depend on the composition of the three lumps for the MTG process (oxygenates, light olefins, and the rest of the products) has been proven, for a wide interval of compositions of the lumps. These compositions correspond to different states of catalyst deactivation. The use of this model in the simulation of the integral reactor avoids noticeable errors inherent to the nonconsideration of the effect of composition on the deactivation.

Benito, P.L.; Gayubo, A.G.; Aguayo, A.T.; Castilla, M.; Bilbao, J. [Univ. del Pais Vasco, Bilbao (Spain). Dept. de Ingenieria Quimica] [Univ. del Pais Vasco, Bilbao (Spain). Dept. de Ingenieria Quimica

1996-01-01T23:59:59.000Z

339

Integration of hydrogen management in refinery planning with rigorous process models and product quality specifications  

Science Journals Connector (OSTI)

New trends of increased heavy crude markets and clean-fuel legislation, to produce ultra low-sulphur (ULS) gasoline and diesel fuels, are forcing refineries to increase their consumption of hydrogen. This critical situation raises the need to have a tool for operating refineries with flexibility and profitability. This paper addresses the planning of refinery with consideration to hydrogen availability. A systematic method for integrating a hydrogen management strategy within a rigorous refinery planning model is undertaken. The presented model consists of two main building blocks: a set of non-linear processing units' models and a hydrogen balance framework. The two blocks are integrated to produce a refinery-wide planning model with hydrogen management. The hydrogen management alternatives were determined by economic analysis. The proposed model improves the hidden hydrogen unavailability that prevents refineries from achieving their maximum production and profit. The model is illustrated on representative case studies and the results are discussed. It was found that an additional annual profit equivalent to $7 million could be achieved with a one-time investment of $13 million in a new purification unit.

Ali Elkamel; Ibrahim Alhajri; A. Almansoori; Yousef Saif

2011-01-01T23:59:59.000Z

340

Utilizing geographic information systems technology in the Wyoming cumulative hydrologic impact assessment modeling process  

SciTech Connect

The coal-permitting process places heavy demands on both permit applicants and regulatory authorities with respect to the management and analysis of hydrologic data. Currently, this correlation is being addressed for the Powder River Basin, Wyoming by the ongoing Cumulative Hydrologic Impact Assessment (CHIA) efforts at the University of Wyoming. One critical component of the CHIA is the use of a Geographic Information System (GIS) for support, management, manipulation, pre-analysis, and display of data associated with the chosen groundwater and surface water models. This paper will discuss the methodology in using of GIS technology as an integrated tool with the MODFLOW and HEC-1 hydrologic models. Pre-existing GIS links associated with these two models served as a foundation for this effort. However, due to established standards and site specific factors, substantial modifications were performed on existing tools to obtain adequate results. The groundwater-modeling effort required the use of a refined grid in which cell sizes varied based on the relative locations of ongoing mining activities. Surface water modeling was performed in a semi-arid region with very limited topographic relief and predominantly ephemeral stream channels. These were substantial issues that presented challenges for effective GIS/model integration.

Hamerlinck, J.D.; Oakleaf, J.R. [Univ. of Wyoming, Laramie, WY (United States)

1997-12-31T23:59:59.000Z

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

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

342

Modeling and co-simulation of a parabolic trough solar plant for industrial process heat  

Science Journals Connector (OSTI)

In the present paper a tri-dimensional non-linear dynamic thermohydraulic model of a parabolic trough collector was developed in the high-level acausal object-oriented language Modelica and coupled to a solar industrial process heat plant modeled in TRNSYS. The integration is performed in an innovative co-simulation environment based on the TLK interconnect software connector middleware. A discrete Monte Carlo ray-tracing model was developed in SolTrace to compute the solar radiation heterogeneous local concentration ratio in the parabolic trough collector absorber outer surface. The obtained results show that the efficiency predicted by the model agrees well with experimental data with a root mean square error of 1.2%. The dynamic performance was validated with experimental data from the Acurex solar field, located at the Plataforma Solar de Almeria, South-East Spain, and presents a good agreement. An optimization of the IST collector mass flow rate was performed based on the minimization of an energy loss cost function showing an optimal mass flow rate of 0.22 kg/s m2. A parametric analysis showed the influence on collector efficiency of several design properties, such as the absorber emittance and absorptance. Different parabolic trough solar field model structures were compared showing that, from a thermal point of view, the one-dimensional model performs close to the bi-dimensional. Co-simulations conducted on a reference industrial process heat scenario on a South European climate show an annual solar fraction of 67% for a solar plant consisting on a solar field of 1000 m2, with thermal energy storage, coupled to a continuous industrial thermal demand of 100 kW.

R. Silva; M. Pérez; A. Fernández-Garcia

2013-01-01T23:59:59.000Z

343

Modeling and compensation of cutting-forces generated during the EDM process for ultra high-precision robots  

E-Print Network (OSTI)

Modeling and compensation of cutting-forces generated during the EDM process for ultra high to compen- sate them during the robot usage. We have taken the micro electro-discharge machining process kinematic). Figure 2 Kinematic chain of the robot. The micro-EDM process is used for cutting complex shapes

Floreano, Dario

344

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

345

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

SciTech Connect

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

346

Object-oriented process modeling for material-at-risk estimation.  

SciTech Connect

Nuclear analytical chemistry/materials characterization operations at Los Alamos support many programs related to national security. These operations work with a wide range of material masses (microgram to tens of grams) and several forms (metal, oxide, and liquid). We have used detailed flowsheets for the chemistry and characterization functions to construct a process model of the facility operations. The model, constructed with the commercially available package ExtendTMt,r acks material amounts and forms through the process of sample receiving through data return. The model calculates equipment utilization, throughput, and turnaroundtime, as well as the material-at-risk and source term as a function of time for facility safety analyses. We see that the source-term is highly dependent on the material holding time, as expected; thus, proper material management policies are essential to operating a facility within regulatory guidelines regarding material-at-risk. In addition, we see that segregation of operations based on the material used can be beneficial to the overall operations.

Kornreich, D. E. (Drew E.); Farman, Richard F.

2002-01-01T23:59:59.000Z

347

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

348

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

SciTech Connect

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

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

2006-10-12T23:59:59.000Z

349

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

SciTech Connect

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

350

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.

351

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

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

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

352

A transient flow model of compressible gas mixtures in a nuclear fuel processing plant  

SciTech Connect

A model was developed to predict mixture concentration profiles in a subatmospheric mixture of hydrogen, nitrogen, and oxygen during valve-switching between a process line and an atmospheric vent line. The switching event allows air in-leakage to the system during the period in which the routing valves are open. Hydrogen and oxygen concentrations must be predicted to assess the potential for developing combustible mixtures in the system. The model consists of a one-dimensional finite-difference representation of the transient momentum and mass conservation equations, associated constitutive relationships and an equation-of-state for compressible gas. The resulting equation set was solved with Advanced Continuous Simulation Language (ACSL).

Farman, R.F.; Brown, R.A.

1989-02-16T23:59:59.000Z

353

Applications of Living Fire PRA models to Fire Protection Significance Determination Process in Taiwan  

SciTech Connect

The living fire probabilistic risk assessment (PRA) models for all three operating nuclear power plants (NPPs) in Taiwan had been established in December 2000. In that study, a scenario-based PRA approach was adopted to systematically evaluate the fire and smoke hazards and associated risks. Using these fire PRA models developed, a risk-informed application project had also been completed in December 2002 for the evaluation of cable-tray fire-barrier wrapping exemption. This paper presents a new application of the fire PRA models to fire protection issues using the fire protection significance determination process (FP SDP). The fire protection issues studied may involve the selection of appropriate compensatory measures during the period when an automatic fire detection or suppression system in a safety-related fire zone becomes inoperable. The compensatory measure can either be a 24-hour fire watch or an hourly fire patrol. The living fire PRA models were used to estimate the increase in risk associated with the fire protection issue in terms of changes in core damage frequency (CDF) and large early release frequency (LERF). In compliance with SDP at-power and the acceptance guidelines specified in RG 1.174, the fire protection issues in question can be grouped into four categories; red, yellow, white and green, in accordance with the guidelines developed for FD SDP. A 24-hour fire watch is suggested only required for the yellow condition, while an hourly fire patrol may be adopted for the white condition. More limiting requirement is suggested for the red condition, but no special consideration is needed for the green condition. For the calculation of risk measures, risk impacts from any additional fire scenarios that may have been introduced, as well as more severe initiating events and fire damages that may accompany the fire protection issue should be considered carefully. Examples are presented in this paper to illustrate the evaluation process. (authors)

De-Cheng, Chen; Chung-Kung, Lo; Tsu-Jen, Lin; Ching-Hui, Wu [Institute of Nuclear Energy Research, P. O. Box 3-3, Lung-Tan, Tao-Yuan Taiwan (China); Lin, James C. [ABSG Consulting Inc., 300 Commerce Drive, Suite 200, Irvine, CA 92602 (United States)

2004-07-01T23:59:59.000Z

354

Modeling of the reburning process using sewage sludge-derived syngas  

SciTech Connect

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

355

Improvement of Moist and Radiative Processes in Highly Parallel Atmospheric General Circulation Models: Validation and Development  

SciTech Connect

Research on designing an integrated moist process parameterization package was carried. This work began with a study that coupled an ensemble of cloud models to a boundary layer model to examine the feasibility of such a methodology for linking boundary layer and cumulus parameterization schemes. The approach proved feasible, prompting research to design and evaluate a coupled parameterization package for GCMS. This research contributed to the development of an Integrated Cumulus Ensemble-Turbulence (ICET) parameterization package. This package incorporates a higher-order turbulence boundary layer that feeds information concerning updraft properties and the variances of temperature and water vapor to the cloud parameterizations. The cumulus ensemble model has been developed, and initial sensitivity tests have been performed in the single column model (SCM) version of CCM2. It is currently being coupled to a convective wake/gust front model. The major function of the convective wake/gust front model is to simulate the partitioning of the boundary layer into disturbed and undisturbed regions. A second function of this model is to predict the nonlinear enhancement of surface to air sensible heat and moisture fluxes that occur in convective regimes due to correlations between winds and anomalously cold, dry air from downdrafts in the gust front region. The third function of the convective wake/gust front model is to predict the amount of undisturbed boundary layer air lifted by the leading edge of the wake and the height to which this air is lifted. The development of the wake/gust front model has been completed, and it has done well in initial testing as a stand-alone component. The current task, to be completed by the end of the funding period, is to tie the wake model to a cumulus ensemble model and to install both components into the single column model version of CCM3 for evaluation. Another area of parametrization research has been focused on the representation of cloud radiative properties. An examination of the CCM2 simulation characteristics indicated that many surface temperature and warm land precipitation problems were linked to deficiencies in the specification of cloud optical properties, which allowed too much shortwave radiation to reach the surface. In-cloud liquid water path was statically specified in the CCM2 using a "prescribed, meridionally and height varying, but time independent, cloud liquid water density profile, which was analytically determined from a meridionally specified liquid water scale height. Single-column model integrations were conducted to explore alternative formulations for the cloud liquid water path diagnostic, converging on an approach that employs a similar, but state-dependent technique for determining in-cloud liquid water concentration. The new formulation, results in significant improvements to both the top-of- atmosphere and surface energy budgets. In particular, when this scheme is incorporated in the three-dimensional GCM, simulated July surface temperature biases are substantially reduced, where summer precipitation over the northern hemisphere continents, as well as precipitation rates over most all warm land areas, is more consistent with observations". This improved parameterization has been incorporated in the CCM3.

Frank, William M.; Hack, James J.; Kiehl, Jeffrey T.

1997-02-24T23:59:59.000Z

356

Biomass Gasification-Based Syngas Production for a Conventional Oxo Synthesis Plant—Process Modeling, Integration Opportunities, and Thermodynamic Performance  

Science Journals Connector (OSTI)

Biomass Gasification-Based Syngas Production for a Conventional Oxo Synthesis Plant—Process Modeling, Integration Opportunities, and Thermodynamic Performance ... A small amount of steam (0.4 kton·y–1) is used to control the burner temperature. ...

Maria Arvidsson; Matteo Morandin; Simon Harvey

2014-05-07T23:59:59.000Z

357

An Analytical Model for Determination of the Solvent Convective Dispersion Coefficient in the Vapor Extraction Heavy Oil Recovery Process  

Science Journals Connector (OSTI)

In this article, a new model is developed to determine the solvent convective dispersion coefficient in a solvent vapor extraction (VAPEX) heavy oil recovery process. It is assumed that solvent mass transfer b...

Mohammad Derakhshanfar; Yongan Gu

2012-03-01T23:59:59.000Z

358

Evaluation of a Conjunctive Surface–Subsurface Process Model (CSSP) over the Contiguous United States at Regional–Local Scales  

Science Journals Connector (OSTI)

This study presents a comprehensive evaluation on a Conjunctive Surface–Subsurface Process Model (CSSP) in predicting soil temperature–moisture distributions, terrestrial hydrology variations, and land–atmosphere exchanges against various in situ ...

Xing Yuan; Xin-Zhong Liang

2011-08-01T23:59:59.000Z

359

Modelling coupled processes in bentonite: recent results from the UK's contribution to the Äspö EBS Task Force  

Science Journals Connector (OSTI)

...R. (2002) The Buffer and Backfill Handbook Part1: Definitions...bentonite and tunnel backfill knowledge: State-of-the-art...modelling of the bentonite buffer . SKB Technical Report...Stockholm. SKB (2010) Buffer backfill and closure process...

D. Holton; S. Baxter; A. R. Hoch

360

Evaluation of a process-based ecosystem model for long-term biomass and stand development of Eucalyptus globulus plantations  

Science Journals Connector (OSTI)

Versatile process-oriented ecosystem models are discussed as promising tools for the analyses of ecosystem services beyond wood yield, such as catchment water yield,...Eucalyptus globulus plantations in Australia...

Peter Miehle; Rüdiger Grote; Michael Battaglia…

2010-05-01T23:59:59.000Z

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.


361

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

SciTech Connect

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

Hodgin, C.R.

1991-11-06T23:59:59.000Z

362

Modeling Ion-Exchange Processing With Spherical Resins For Cesium Removal  

SciTech Connect

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

363

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.

364

Fracture Modeling of Crack Propagation in Wood and Wood Composites Including Crack Tip Processes and Fiber Bridging Mechanics  

E-Print Network (OSTI)

1 Fracture Modeling of Crack Propagation in Wood and Wood Composites Including Crack Tip Processes and Fiber Bridging Mechanics J. A. Nairn, N. Matsumoto Wood Science & Engineering, Oregon State University wood and wood composites develop process zones often consisting of fibers bridging the crack surfaces

Nairn, John A.

365

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

SciTech Connect

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

366

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

SciTech Connect

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

367

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

SciTech Connect

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

368

Analytic network process model for sustainable lean and green manufacturing performance indicator  

Science Journals Connector (OSTI)

Sustainable manufacturing is regarded as the most complex manufacturing paradigm to date as it holds the widest scope of requirements. In addition its three major pillars of economic environment and society though distinct have some overlapping among each of its elements. Even though the concept of sustainability is not new the development of the performance indicator still needs a lot of improvement due to its multifaceted nature which requires integrated approach to solve the problem. This paper proposed the best combination of criteria en route a robust sustainable manufacturing performance indicator formation via Analytic Network Process (ANP). The integrated lean green and sustainable ANP model can be used to comprehend the complex decision system of the sustainability assessment. The finding shows that green manufacturing is more sustainable than lean manufacturing. It also illustrates that procurement practice is the most important criteria in the sustainable manufacturing performance indicator.

2014-01-01T23:59:59.000Z

369

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

SciTech Connect

The purpose of this project is to develop performance and cost models of the Direct Sulfur Recovery Process (DSRP). The DSRP is an emerging technology for sulfur recovery from advanced power generation technologies such as Integrated Gasification Combined Cycle (IGCC) systems. In IGCC systems, sulfur present in the coal is captured by gas cleanup technologies to avoid creating emissions of sulfur dioxide to the atmosphere. The sulfur that is separated from the coal gas stream must be collected. Leading options for dealing with the sulfur include byproduct recovery as either sulfur or sulfuric acid. Sulfur is a preferred byproduct, because it is easier to handle and therefore does not depend as strongly upon the location of potential customers as is the case for sulfuric acid. This report describes the need for new sulfur recovery technologies.

Frey, H.C. [North Carolina State Univ., Raleigh, NC (United States); Williams, R.B. [Carneigie Mellon Univ., Pittsburgh, PA (United States)

1995-09-01T23:59:59.000Z

370

Theory and computational modeling: Medium reorganization and donor/acceptor coupling in electron transfer processes  

SciTech Connect

The continuing goal is to convert the rapidly accumulating mechanistic information about electron transfer (et) kinetics (often representable in terms of simple rate constants) into precise tools for fine-tuned control of the kinetics and for design of molecular-based systems which meet specified et characteristics. The present treatment will be limited to the kinetic framework defined by the assumption of transition state theory (TST). The primary objective of this paper is to report recent advances in the theoretical formulation, calculation, and analysis of energetics and electronic coupling pertinent to et in complex molecular aggregates. The control of et kinetics (i.e., enhancing desired processes, while inhibiting others) involves, of course, both system energetics (especially reorganization energies (E{sub r}) and free energy changes ({Delta}G{sup 0})) and electronic coupling of local D and A sites, which for thermal processes is most directly relevant only after the system has reached the appropriate point (or region) along the reaction coordinate (i.e., the transition state). The authors first discuss TST rate constant models, emphasizing genetic features, but also noting some special features arising when metal electrodes are involved. They then turn to a consideration of detailed aspects of medium reorganization and donor/acceptor coupling. With these theoretical tools in hand, they examine the results of recent applications to complex molecular systems using the techniques of computational quantum chemistry and electrostatics, together with detailed analysis of the numerical results and comparison with recent electrochemical kinetic data.

Newton, M.D.; Feldberg, S.W.; Smalley, J.F.

1998-03-01T23:59:59.000Z

371

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

372

Measurement and modeling of advanced coal conversion processes, Volume I, Part 2. Final report, September 1986--September 1993  

SciTech Connect

This report describes work pertaining to the development of models for coal gasification and combustion processes. This volume, volume 1, part 2, contains research progress in the areas of large particle oxidation at high temperatures, large particle, thick-bed submodels, sulfur oxide/nitrogen oxides submodels, and comprehensive model development and evaluation.

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

1995-09-01T23:59:59.000Z

373

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

374

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

SciTech Connect

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

375

Nonlinear process model based control of a propylene sidestream draw column  

SciTech Connect

While sidestream draw columns offer the incentives of reduced capital and operating expenses, they also pose more challenging control problems than ordinary distillation columns. This paper describes the application of nonlinear process model based control (PMBC) for composition control of all product streams for a simulation of a distillation column with a liquid sidestream draw. A tray-to-tray simulator of an industrial propylene/propane column that considers 5-min composition analyzer dead time was used to test the nonlinear PMBC controller for setpoint changes, a feed flow rate change, and feed composition changes. The nonlinear PMBC controller used an approximate model based upon the Smoker equation directly to make control decisions. The nonlinear PMBC controller exhibits excellent control performance for all test cases with a maximum relative deviation of the impurity from setpoint of about 10% for the two product streams. The nonlinear PMBC controller provides significantly improved control performance over a conventional single loop control scheme that is currently in industrial use.

Riggs, J.B. (Dept. of Chemical Engineering, Texas Tech Univ., Lubbock, TX (US))

1990-11-01T23:59:59.000Z

376

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

SciTech Connect

A three-dimensional transient computational fluid dynamics (CFD) model was developed to investigate the material flow and heat transfer during friction stir processing (FSP) in an AZ31B magnesium alloy. The material was assumed to be a non-Newtonian viscoplastic fluid, and the Zener-Hollomon parameter was used to describe the dependence of material viscosity on temperature and strain rate. The material constants used in the constitutive equation were determined experimentally from compression tests of the AZ31B Mg alloy under a wide range of strain rates and temperatures. A dynamic mesh method, combining both Lagrangian and Eulerian formulations, was used to capture the material flow induced by the movement of the threaded tool pin. Massless inert particles were embedded in the simulation domain to track the detailed history of material flow. The actual FSP was also carried out on a wrought Mg plate where temperature profiles were recorded by embedding thermocouples. The predicted transient temperature history was found to be consistent with that measured during FSP. Finally, the influence of the thread on the simulated results of thermal history and material flow was studied by comparing two models: one with threaded pin and the other with smooth pin surface.

Yu, Zhenzhen [ORNL; Zhang, Wei [ORNL; Choo, Hahn [ORNL; Feng, Zhili [ORNL

2012-01-01T23:59:59.000Z

377

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

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

378

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

379

High-performance hollow sulfur nanostructured battery cathode through a scalable, room temperature, one-step, bottom-up approach  

Science Journals Connector (OSTI)

...FreedomCAR Program R&D on Energy Storage Systems (Department of Energy, Washington, DC). Available at http://www1.eere.energy.gov/solar/pdfs/sda_03duong.pdf. Accessed December 12, 2005 . 31 Elazari R ( 2010 ) Morphological and structural...

Weiyang Li; Guangyuan Zheng; Yuan Yang; Zhi Wei Seh; Nian Liu; Yi Cui

2013-01-01T23:59:59.000Z

380

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

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

Stock type performance in addressing top-down and bottom-up factors for the restoration of indigenous trees  

E-Print Network (OSTI)

to the initial size and biomass of seedlings. Inversely, in plantations exposed to deer, the apparency hypothesis.07) that had been almost twice their biomass at the onset of plantation. The overall browsing occurrence Exclosure Competition Plantation White-tailed deer a b s t r a c t Using planted trees to restore

Laval, Université

382

ISDA 2010, Montpellier, June 28-30, 2010 1 COMBINING TOP-DOWN AND BOTTOM-UP  

E-Print Network (OSTI)

efficiency and on the other tried to fine-tune inputs (of nutrients, agrochemicals, manure, etc) to societal

Boyer, Edmond

383

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

SciTech Connect

This report is designed to document the analysis process and estimation models currently used by the Federal Highway Administration (FHWA) to estimate the off-highway gasoline consumption and public sector fuel consumption. An overview of the entire FHWA attribution process is provided along with specifics related to the latest update (2008) on the Off-Highway Gasoline Use Model and the Public Use of Gasoline Model. The Off-Highway Gasoline Use Model is made up of five individual modules, one for each of the off-highway categories: agricultural, industrial and commercial, construction, aviation, and marine. This 2008 update of the off-highway models was the second major update (the first model update was conducted during 2002-2003) after they were originally developed in mid-1990. The agricultural model methodology, specifically, underwent a significant revision because of changes in data availability since 2003. Some revision to the model was necessary due to removal of certain data elements used in the original estimation method. The revised agricultural model also made use of some newly available information, published by the data source agency in recent years. The other model methodologies were not drastically changed, though many data elements were updated to improve the accuracy of these models. Note that components in the Public Use of Gasoline Model were not updated in 2008. A major challenge in updating estimation methods applied by the public-use model is that they would have to rely on significant new data collection efforts. In addition, due to resource limitation, several components of the models (both off-highway and public-us models) that utilized regression modeling approaches were not recalibrated under the 2008 study. An investigation of the Environmental Protection Agency's NONROAD2005 model was also carried out under the 2008 model update. Results generated from the NONROAD2005 model were analyzed, examined, and compared, to the extent that is possible on the overall totals, to the current FHWA estimates. Because NONROAD2005 model was designed for emission estimation purposes (i.e., not for measuring fuel consumption), it covers different equipment populations from those the FHWA models were based on. Thus, a direct comparison generally was not possible in most sectors. As a result, NONROAD2005 data were not used in the 2008 update of the FHWA off-highway models. The quality of fuel use estimates directly affect the data quality in many tables published in the Highway Statistics. Although updates have been made to the Off-Highway Gasoline Use Model and the Public Use Gasoline Model, some challenges remain due to aging model equations and discontinuation of data sources.

Hwang, Ho-Ling [ORNL; Davis, Stacy Cagle [ORNL

2009-12-01T23:59:59.000Z

384

14 - Cost modelling of coal power plant start-up in cyclical operation  

Science Journals Connector (OSTI)

Abstract: It has long been recognized that large coal plants that are exposed to cyclic operation incur more damage and have higher maintenance costs than units which operate in a base load regimen. This chapter reviews historical studies that have attempted to model the costs of cycling for these units from both bottom-up and top-down perspectives. It describes recent research at the component, unit and system level which attempts to forecast maintenance costs in the high-cycling scenarios likely to result from changes in the relative cost of fuel and the expansion of renewable energy sources.

P. Keatley

2014-01-01T23:59:59.000Z

385

Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process  

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

Savannah River Site Liquid Waste Process Savannah River Site Liquid Waste Process June 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM Sahid C. Smith Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Savannah River Site Liquid Waste Process June 2009 ACKNOWLEDGEMENTS The Review Team thanks Ms. Sonitza Blanco, Team Lead Planning and Coordination Waste Disposition Project U.S. Department of Energy Savannah River Operations Office and Mr. Pete Hill, Liquid Waste Planning Manager for Washington Savannah River Company, for their

386

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

SciTech Connect

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

387

Signal Processing in Acoustics: Science or Science Fiction?  

Science Journals Connector (OSTI)

Signal processing in acoustics is based on one fundamental concept—extracting critical information from noisy uncertain measurement data. Acoustical processing problems can lead to some complex and intricate paradigms to perform this extraction especially from noisy sometimes inadequate measurements. Whether the data are created using a seismic geophone sensor from a monitoring network or an array of hydrophone transducers located on the hull of an ocean?going vessel the basic processing problem remains the same—extract the useful information. Techniques in signal processing (e.g. filtering Fourier transforms time?frequency and wavelet transforms) are effective; however as the underlying acoustical process generating the measurements becomes more complex the resulting processor may require more and more information about the process phenomenology to extract the desired information. The challenge is to formulate a meaningful strategy that is aimed at performing the processing required even in the face of these high uncertainties. In this article we briefly discuss this underlying signal processing philosophy from a “bottoms?up” perspective enabling the problem to dictate the solution rather than visa?versa. Once accomplished we ask ourselves the final and telling question “Did it work or are we kidding ourselves?” Are the results science or are they science fiction?

James V. Candy

2008-01-01T23:59:59.000Z

388

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

E-Print Network (OSTI)

DOE estimates that if algae fuel replaced all the petroleumalgae feedstock instead of the lipid is converted to fuelsfuels production from microalgae The detail conversion process is the same as green waste-to-liquid process introduced earlier and algae

Lu, Xiaoming

2012-01-01T23:59:59.000Z

389

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

SciTech Connect

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

390

Modeling Cu Migration in CdTe Solar Cells Under Device-Processing and Long-Term Stability Conditions: Preprint  

SciTech Connect

An impurity migration model for systems with material interfaces is applied to Cu migration in CdTe solar cells. In the model, diffusion fluxes are calculated from the Cu chemical potential gradient. Inputs to the model include Cu diffusivities, solubilities, and segregation enthalpies in CdTe, CdS and contact materials. The model yields transient and equilibrium Cu distributions in CdTe devices during device processing and under field-deployed conditions. Preliminary results for Cu migration in CdTe photovoltaic devices using available diffusivity and solubility data from the literature show that Cu segregates in the CdS, a phenomenon that is commonly observed in devices after back-contact processing and/or stress conditions.

Teeter, G.; Asher, S.

2008-05-01T23:59:59.000Z

391

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

SciTech Connect

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

392

External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process  

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

Hanford Site Liquid Waste Process Hanford Site Liquid Waste Process September 2009 Monica C. Regalbuto Office of Waste Processing DOE/EM Kevin G. Brown Vanderbilt University and CRESP David W. DePaoli Oak Ridge National Laboratory Candido Pereira Argonne National Laboratory John R. Shultz Office of Waste Processing DOE/EM External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process September 2009 Acknowledgements The Review Team thanks Mr. Glyn Trenchard, Team Lead for Planning and Coordination Waste Disposition Project, U.S. Department of Energy--Office of River Protection, Mr. Paul Rutland, RPP System Planning Manager for Washington River Protection Solutions, and Mr. Ernie Lee,

393

Water flow processes in a soil column with a cylindrical macropore: Experiment and hierarchical modeling  

E-Print Network (OSTI)

interdomain water transfer could be estimated using mass balance calculations. In a hierarchical modeling

Mohanty, Binayak P.

394

[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

395

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

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

396

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

SciTech Connect

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

397

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

SciTech Connect

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

398

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

399

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

400

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

Note: This page contains sample records for the topic "bottom-up process modeling" from the National Library of EnergyBeta (NLEBeta).
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401

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

402

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

403

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

404

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

SciTech Connect

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

405

Predictive Modeling of Large-Scale Commercial Water Desalination Plants: Data-Based Neural Network and Model-Based Process  

E-Print Network (OSTI)

Predictive Modeling of Large-Scale Commercial Water Desalination Plants: Data-Based Neural Network for developing predictive models for large-scale commercial water desalination plants by (1) a data (MSF) and reverse osmosis (RO) desalination plants in the world. Our resulting neural network

Liu, Y. A.

406

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

407

A Novel Approach to Modeling and Simulating of Underbalanced Drilling Process in Oil and Gas Wells  

Science Journals Connector (OSTI)

This paper presents an advanced dynamic model and computer simulator for underbalanced drilling. The model is formulated based on the ... theory of multiphase transient flow referring to the drilling mud, water,

Jun Fan; Xi-an Wang; Song Han; Zhong-shen Yu

2009-01-01T23:59:59.000Z

408

Modeling Unsaturated Flow and Transport Processes in Fractured Tuffs of Yucca Mountain  

E-Print Network (OSTI)

zone site-scale model, Yucca Mountain Site Characterizationsite-scale model, Yucca Mountain Project Milestone 3GLM105M,unsaturated zone, Yucca Mountain, Nevada. Water-Resources

Wu, Yu-Shu; Lu, Guoping; Zhang, Keni; Bodvarsson, G.S.

2003-01-01T23:59:59.000Z

409

A model on chemical looping combustion of methane in a bubbling fluidized-bed process  

Science Journals Connector (OSTI)

We developed a mathematical model to discuss the performance of chemical looping combustion (CLC) of methane in continuous bubbling ... The present model agrees reasonably well with the combustion efficiency meas...

Jeong-Hoo Choi; Pil Sang Youn; Djamila Brahimi…

2012-06-01T23:59:59.000Z

410

A new BML-based RANS modelling for the description of gas turbine typical combustion processes  

Science Journals Connector (OSTI)

The work is concentrated on the formulation and validation of integral models within RANS framework for the numerical prediction of the premixed and partially premixed flames occurring in gas turbine combustors. The premixed combustion modelling is based on the BML approach coupled to the mixing transport providing variable equivalence ratio. Chemistry is described by means of ILDM model solving transport equations for reaction progress variables conditioned on the flame front. Multivariate presumed PDF model is used for the turbulence-chemistry interaction treatment. Turbulence is modelled using the second moment closure (SMC) and the standard ?-? model as well. The influence of non-gradient turbulent transport is investigated comparing the gradient diffusion closure and the solution of the scalar flux transport equations. Different model combinations are assessed simulating several premixed and partially premixed flame configurations and comparing results to the experimental data. The proposed model provides good predictions particularly in combination with SMC.

A. Maltsev; A. Sadiki; J. Janicka

2004-01-01T23:59:59.000Z

411

Formation of viable nuclei and particle growth in hydrothermal processing of silicon dioxide wafers: A modeling study of entrance effects  

SciTech Connect

A major problem that besets rapid hydrothermal processing of silicon dioxide wafers is the formation of particles. In this report we have used The Becker, Doering, Zeldovich theory of homogeneous condensation of viable nuclei to study particle formation in a hydrothermal processing chamber. We have further utilized a diffusive growth model that allows these nuclei to develop into larger particles. In addition, we have developed a model to partially dissolve the walls of the quartz chamber into the steam flowing by. The interplay between homogeneous nucleation and inhomogeneous nucleation is brought out via a dimensionless number that is the ratio of the timescales of these two phenomena. An analytic model was developed to prove in consonance with numerical results that unless the incoming stream is itself supersaturated, there will be no nucleation near the entrance.

Chitanvis, S.M.

1994-08-01T23:59:59.000Z

412

Multiphysics modeling of lithium ion battery capacity fading process with solid-electrolyte interphase growth by elementary reaction kinetics  

Science Journals Connector (OSTI)

Abstract A pseudo two-dimensional mathematical model is developed for a lithium ion battery, integrating the elementary reaction based solid-electrolyte interphase (SEI) growth model with multiple transport processes. The model is validated using the experimental data. Simulation results indicate that the operating temperature has great effect on the SEI layer generation and growth. Under different charging–discharging rates, it is found that high charging–discharging rate can intensify the battery capacity fading process. Different cooling conditions are then applied and show that enhanced surface convective cooling condition can effectively slow down the battery capacity fading. After that, the effect of electrolyte salt concentration and exchange current density are studied. It is found that raising the electrolyte salt concentration can improve the diffusion property of lithium ions, and stabilize the battery performance under lithium ion consumption induced resistance rising. It also suggests that improving exchange current density could greatly decrease the lithium ion battery capacity fading.

Yuanyuan Xie; Jianyang Li; Chris Yuan

2014-01-01T23:59:59.000Z

413

Modelling multi-state diffusion process in complex networks: theory and applications  

Science Journals Connector (OSTI)

......a generalized SIS model by allowing the existence...the generalized SIS model on large graphs...to or prevents the outbreak of information or...the generalized SIS model. Experimental results...methodology can accurately predict the behaviour of...contagions such as flu or ideas in a large......

Yishi Lin; John C. S. Lui; Kyomin Jung; Sungsu Lim

2014-08-01T23:59:59.000Z

414

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

415

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

416

Modeling techniques for extraction transformation and load processes: a critical review  

Science Journals Connector (OSTI)

The use of Business Intelligence systems has been increased over the last fifteen years. Small and medium enterprises have seen the importance of this type of systems in supporting decision-making process. However, there is no consensus about standards ... Keywords: ETL process design, business intelligence, software engineering

Alexander Bustamante Martínez; Ernesto Amaru Galvis-Lista; Luis Carlos Gómez Florez

2012-05-01T23:59:59.000Z

417

Modelling thermal processes in buildings using an object-oriented approach and Modelica  

Science Journals Connector (OSTI)

Most of today’s modelling and simulation concepts originate from the times and methods of analog computers. Usually, it is assumed that the model must be expressed in an explicit state-space form. Consequently, the topology of the system gets lost and any future extension and reuse of the model is tedious and error-prone. In other words, it is the modeller’s task to consider the computational order of the operations during a simulation. In this paper we discuss the re-implementation of a passive-solar- building simulator in an object-oriented environment; it was originally built in the non-object-oriented simulation environment of Matlab–Simulink. The former simulator was designed to resemble a real physical test chamber with regard to the thermal and solar radiation flows. However, due to the lack of object orientation in Matlab–Simulink it was very difficult to apply any configuration modifications and extensions. We start with a brief description of the mathematical modelling which includes thermal dynamics and solar radiation. Then the implementation in Modelica is presented. So, a much superior environment in comparison with Matlab-Simulink was obtained, giving us the possibility of high-level modular and object-oriented modelling. The model is also extremely efficient in multidisciplinary projects in which control-engineering specialists (our group) cooperate with specialists from civil engineering, because civil engineers can more easily understand graphical and textual models in Modelica than schemes in Simulink. We expect that such a model will fulfil and significantly improve several model properties in comparison to the Matlab–Simulink implementation, i.e., a better understanding of the influences of thermal and radiation flows on comfortable living conditions, a model-based control-system design, which will enable the harmonization of active and passive energy resources, important energy savings, and a very suitable environment for education in modelling, simulation and control.

Anton Sodja; Borut Zupan?i?

2009-01-01T23:59:59.000Z

418

Modeling and Analysis of Hybrid Reactive Stripper-Membrane Process for Lactic Acid Recovery  

Science Journals Connector (OSTI)

Permeate side of the zeolite NaA membrane is maintained at 0.1 bar by spontaneous condensation and cooling of the permeate stream to 41 °C using cooling water at 30 °C. ... The pressure of the condensed permeate stream is then raised to atmospheric pressure by a pump. ... Advances in electrodialysis (ED) and bipolar membranes and one particular process configuration termed the 'double ED' process, a specific combination of desalting ED followed by 'water-splitting' ED with bipolar membranes, has given very promising results, showing a strong potential for an efficient and economic process for recovery and purifn. of lactic acid without generating a salt waste. ...

Krishna Gudena; G. P. Rangaiah; S. Lakshminarayanan

2013-01-25T23:59:59.000Z

419

Fuel processing for fuel cells: a model for fuel conversion and carbon formation in the adiabatic steam reformer  

SciTech Connect

In present fuel cell power plants the fuel processor is a catalytic steam reformer which is limited to the use of fuels such as naphtha and natural gas. The sulfur content of these feeds must be reduced to low levels by hydrotreatment before contacting the nickel catalyst in the reformer. However, future fuel cell power plants may be required to ue coal-derived liquid fuel or heavy petroleum distillates which are more difficult to hydrotreat and reform. To meet this requirement, an adiabatic steam reformer is being developed by United Technologies Corporation with the support of the Electric Power Research Institute. In the adiabatic reformer, air is added to the process stream to provide, by combustion, the heat for endothermic reforming in a catalyst bed. In the inlet section of the reformer, air and fuel combust, and reforming is initiated on special catalysts whose primary functon is to prevent formation and accumulation of carbon. Following the inlet section, catalysts with high activity for steam reforming complete the conversion of the remaining fuel, principally methane. The objective of the present program is to establish a reactor model for the adiabatic reformer which would predict process stream compositions and temperatures and include carbon formation processes. Progress is reported on the four tasks: (1) determine rate expressions for catalytic reactions occurring in the adiabatic reformer; (2) establish a reactor model to predict process stream compositions in the adiabatic reformer using data from Task 1 for cataytic reactions and data from the literature for homogeneous gas-phase reactions; (3) determine critical conditions for carbon formation on selected catalysts using microbalance experiments; and (4) establish a model to predict carbon formation by combination of the model for process stream composition from Task 2 and data for carbon formation from Task 3. (WHK)

Bett, J.A.S.; Cutlip, M.C.; Foley, P.F.; Lesieur, R.R.; Meyer, A.P.; Sederquist, R.A.; Setzer, H.J.

1981-01-01T23:59:59.000Z

420

The Effect of Mediated Glosses on Vocabulary Retention and Reading Comprehension with English Language Learners in Saudi Arabia  

E-Print Network (OSTI)

. King Saud University, 1988 M. A. King Faisal University, 2000 2011 Submitted to the Department of Curriculum and Teaching and the Faculty of the Graduate School of... .…………………………………………………. 14 Bottom-Up Processing Models ...………………………………………………. 14 Integrative Processing Models .………………………………………………… 15 Factors Influencing FL/L2 Reading Development ...…………………………………... 15 viii The Linguistic Threshold Hypothesis...

Al Ghafli, Mansour Hussain

2011-04-26T23:59:59.000Z

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

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

422

Mathematical model of optimal control of a process of periodic verification of measurement devices  

Science Journals Connector (OSTI)

A synthesis of mathematical machinery is presented which allows us to solve the problem of optimizing the extent and periodicity of verification taking into account the parameters of a ... random process of varia...

F. I. Khrapov

1998-07-01T23:59:59.000Z

423

Modelling biomass-fuelled small-scale CHP plants for process synthesis optimisation.  

E-Print Network (OSTI)

??In this work possible process improvements for biomass-fuelled small-scale combined heat and power (CHP) plants are evaluated and a new mixed integer nonlinear programming (MINLP)… (more)

Savola, Tuula

2007-01-01T23:59:59.000Z

424

Modelling Biomass-Fuelled Small-Scale CHP Plants for Process Synthesis Optimisation.  

E-Print Network (OSTI)

??In this work possible process improvements for biomass-fuelled small-scale combined heat and power (CHP) plants are evaluated and a new mixed integer nonlinear programming (MINLP)… (more)

Savola, Tuula

2007-01-01T23:59:59.000Z

425

Statistical post-processing of High-Resolution Regional Climate Model Output  

Science Journals Connector (OSTI)

Statistical post-processing techniques have become essential tools for downscaling large scale information to the point scale, and also for providing a better probabilistic characterization of hydrometeorological variables in simulation and ...

Pablo A. Mendoza; Balaji Rajagopalan; Martyn P. Clark; Kyoko Ikeda; Roy Rasmussen

426

Stochastic Processes for Modeling the Wear of Marine Engine Cylinder Liners  

Science Journals Connector (OSTI)

In this chapter, a stochastic process-based approach is adopted to formulate the reliability function for cylinder liners of diesel engines used for marine propulsion, which fail when their wear exceeds a specifi...

Massimiliano Giorgio; Maurizio Guida; Gianpaolo Pulcini

2009-01-01T23:59:59.000Z

427

Stochastic Modeling of the Rainfall Runoff-Process for Nonpoint Source Pollutant Load Estimation  

E-Print Network (OSTI)

A stochastic simulation methodology was developed for the rainfall-runoff process to assist in the assessment of nonpoint source pollutant loads, particularly for ungauged watersheds where there is a scarcity or complete lack of historical data...

Collins, Michael A.; Dickey, Roger O.

428

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

429

Advancing the micro-EDM technique with powder-mixed dielectric and process modelling.  

E-Print Network (OSTI)

??The electrical discharge machining (EDM) process possesses inherent characteristics that make it a promising micro-machining technique. However, micro electrical discharge machining (micro-EDM) is only used… (more)

Tan, Michael Peng Cheong.

2011-01-01T23:59:59.000Z

430

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

431

Numerical modeling of combustion processes and pollutant formations in direct-injection diesel engines  

Science Journals Connector (OSTI)

The Representative Interactive Flamelet (RIF) concept has been applied to numerically simulate the combustion processes and pollutant formation in the direct injection...X formation including thermal NO path, pro...

Seong-Ku Kim; Joon Kyu Lee; Yong-Mo Kim; Jae-Hyun Ahn

2002-07-01T23:59:59.000Z

432

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

433

Modeling of thermally driven hydrological processes in partially saturated fractured rock  

E-Print Network (OSTI)

multiphase fluid flow, heat transfer, and deformation insimulations of fluid flow, heat transfer, and phaseeither included no fluid flow and modeled heat transfer by

Tsang, Yvonne

2010-01-01T23:59:59.000Z

434

Improving Rainfall Processes in Climate Models | U.S. DOE Office...  

Office of Science (SC) Website

have completed SCM simulations of seven GCMs participating in the "FASTER" project led by Brookhaven National Laboratory and compared the models' performance to 3 years of...

435

Development of an Integrated Process Model for Algae Growth in a Photobioreactor.  

E-Print Network (OSTI)

??While understanding the kinetics of algae growth plays an important role in improving algae cultivation technology, none of the existing kinetic models are able to… (more)

Jalalizadeh, Mehregan

2012-01-01T23:59:59.000Z

436

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

437

Vehicle Technologies Office Merit Review 2014: Coupled Hierarchical Models for Thermal, Mechanical, Electrical and Electrochemical Processes  

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

438

Land Processes in a High Resolution Community Climate Model with Sub-Grid Scale Parameterizations Final Report  

SciTech Connect

The characteristics of land important for climate are very heterogeneous, as are the key atmospheric inputs to land, i.e. precipitation and radiation. To adequately represent this heterogeneity, state-of-the-art climate models should represent atmospheric inputs to land, land properties, and the dynamical changes of land at the highest resolution accessible by climate models. The research funded under this project focused on the development of an alternative approach to this problem in which a sub-mesh is imposed on each atmospheric model grid square. This allows representation of the land climate dynamics at a higher resolution than that achievable in the global atmospheric models. The high spatial detail of the fine-mesh treatment provides not only a more accurate representation of land processes to the atmospheric model, but also the opportunity for direct downscaling of the surface climate. The proposed project continued the development and refinement of a high-resolution land surface model that is compatible for inclusion into the National Center for Atmospheric Research (NCAR) Community Climate Model (CCM), a state-of-the-art atmospheric general circulation model (GCM) that is used for climate simulation and prediction.

R. E. Dickinson; Andrea N. Hahmann

2002-07-17T23:59:59.000Z

439

Application of a Least Square Non-parametric Discovery Process Model to Colorado Group Mixed Conventional and Unconventional Oil Plays, Western Canada Sedimentary Basin  

Science Journals Connector (OSTI)

A least squares non-parametric discovery process model has been developed recently for assessing petroleum resources in mature plays with complex size distribution characteristics. Applications of this model to o...

Zhuoheng Chen; Kirk G. Osadetz; Gemai Chen

2014-01-01T23:59:59.000Z

440

Quantification of NA processes for the CAH-contamination in Karlsruhe-Ost/Killisfeld with the help of a groundwater model  

Science Journals Connector (OSTI)

Reactive transport of chlorinated aliphatic hydrocarbons (CAH) was simulated with a process oriented multi-species-model for a model domain of 4 km2. The objective of the calculations was the quantification of NA...

Dr.-Ing. W. Schäfer; Dr. F. Wickert; Dr. A. Tiehm

2007-06-01T23:59:59.000Z

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

Feasibility of uid transport modelling for bu er and processing systems : Information Fluid Dynamics  

E-Print Network (OSTI)

that achieve robustness, accuracy and rapid simulations. Here we present a uid model for a general family modelling . . . . . . . . . . . . . . . . . . . . 12 3.2 Multi-species case for FIFO . . . . . . . . . . . . . . . . . . . . . . . . . 21 5 Numerical discretization for the FIFO equation 22 5.1 Building an explicit scheme

442

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

443

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

E-Print Network (OSTI)

for the polyesterification of maleic- and phthalic anhydride with ethylene- and 1,2-propylene glycol. The reaction scheme reasonable well. Two different dynamic models of an industrial batch reactor including distillation column into the distillation column. One model uses the reactor energy balance to cal- culate flow and a flash calculation

Foss, Bjarne A.

444

Exploring the WTI crude oil price bubble process using the Markov regime switching model  

Science Journals Connector (OSTI)

Abstract The sharp volatility of West Texas Intermediate (WTI) crude oil price in the past decade triggers us to investigate the price bubbles and their evolving process. Empirical results indicate that the fundamental price of WTI crude oil appears relatively more stable than that of the market-trading price, which verifies the existence of oil price bubbles during the sample period. Besides, by allowing the WTI crude oil price bubble process to switch between two states (regimes) according to a first-order Markov chain, we are able to statistically discriminate upheaval from stable states in the crude oil price bubble process; and in most of time, the stable state dominates the WTI crude oil price bubbles while the upheaval state usually proves short-lived and accompanies unexpected market events.

Yue-Jun Zhang; Jing Wang

2014-01-01T23:59:59.000Z

445

Contribution to kinetic modeling of catalyst deactivation by coke in the MTG process  

SciTech Connect

The adequacy of a kinetic model for deactivation of a catalyst based on a H-ZSM5 used in the transformation of methanol into hydrocarbons has been proven. The model takes into account the pronounced effect on coke deposition of the concentration of reaction lumps and coke preferable deposition at the reactor inlet by degradation of oxygenates (methanol and dimethylether) on the catalyst acid sites. The kinetic model is in agreement with the experimental results of fixed and fluidized bed reactors within the 300-400 {degrees}C range. The deactivation is slightly smaller in fluidized bed but contribution of catalyst attrition to deactivation must be considered. 14 refs., 3 figs.

Gayubo, A.G.; Ortega, J.M.; Benito, P.L.; Aguayo, A.T.; Bilbao, J. [Universidad del Pais Vasco, Bilbao (Spain)

1996-12-31T23:59:59.000Z

446

Modeling the Process of Mining Silicon Through a Single Displacement/Redox Reaction  

K-12 Energy Lesson Plans and Activities Web site (EERE)

As the popularity of photovoltaic (PV) cells and integrated circuits (IC) increases, the need for silicon also increases. Silicon is one of the most used materials in these two industries. It is an inexpensive and abundant semiconductor. However, the process of producing pure silicon adds cost, and it is generally unknown to the public. One of the first steps in producing silicon is a process called carbon-thermic reduction. Silicon dioxide (SiO2) that is found in beach sand and quartz is melted down in a caldron at a temperature of 1450 degrees Celsius.

447

Kinetic viscoelasticity modeling applied to degradation during carbon–carbon composite processing  

E-Print Network (OSTI)

Kinetic viscoelasticity modeling has been successfully utilized to describe phenomena during cure of thermoset based carbon fiber reinforced matrices. The basic difference from classic viscoelasticity is that the fundamental ...

Drakonakis, Vassilis M.

448

Formal Modelling of Process Planning in Combined Additive and Subtractive Manufacturing  

Science Journals Connector (OSTI)

Decision-making models for manufacturing technologies are becoming increasingly complex due to on-going rapid developments in additive and subtractive (Addtractive) manufacturing. Decision-making in manufacturing

Behnood Afsharizand; Aydin Nassehi…

2014-01-01T23:59:59.000Z

449

Modeling land surface processes of the midwestern United States : predicting soil moisture under a warmer climate  

E-Print Network (OSTI)

This dissertation seeks to quantify the response of soil moisture to climate change in the midwestern United States. To assess this response, a dynamic global vegetation model, Integrated Biosphere Simulator, was coupled ...

Winter, Jonathan (Jonathan Mark)

2010-01-01T23:59:59.000Z

450

Modeling the Fuel Spray and Combustion Process of the Ignition Quality Tester with KIVA-3V  

SciTech Connect

Discusses the use of KIVA-3V to develop a model that reproduces ignition behavior inside the Ignition Quality Tester, which measures the ignition delay of low-volatility fuels.

Bogin, G. E. Jr.; DeFilippo, A.; Chen, J. Y.; Chin, G.; Luecke, J.; Ratcliff, M. A.; Zigler, B. T.; Dean, A. M.

2010-05-01T23:59:59.000Z

451

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

E-Print Network (OSTI)

with combustion model using leftover char or diverted syngascombustion is dropped in pressure across an expander to generate power. On the syngascombustion when CCS is required. It is obvious that removal of CO 2 from pressurized syngas

Lu, Xiaoming

2012-01-01T23:59:59.000Z

452

Non-adiabatic flamelet modeling for combustion processes of oxy-natural gas flame  

Science Journals Connector (OSTI)

In order to realistically predict the combustion characteristics of the oxy-fuel flame, the present study employs the non-adiabatic flamelet approach. In this combustion model, the detailed equilibrium chemist...

Gunhong Kim; Yongmo Kim

2005-09-01T23:59:59.000Z

453

Biophysically Accurate Brain Modeling and Simulation using Hybrid MPI/OpenMP Parallel Processing  

E-Print Network (OSTI)

neurons. However, considering the complexity of the network and the large amount of variables, researchers choose to either simulate smaller neural networks or use simple spiking neuron models. Recently, supercomputing platforms have been employed...

Hu, Jingzhen

2012-07-16T23:59:59.000Z

454

Modeling the U.S. Rooftop Photovoltaics Market  

SciTech Connect

Global rooftop PV markets are growing rapidly, fueled by a combination of declining PV prices and several policy-based incentives. The future growth, and size, of the rooftop market is highly dependent on continued PV cost reductions, financing options, net metering policy, carbon prices and future incentives. Several PV market penetration models, sharing a similar structure and methodology, have been developed over the last decade to quantify the impacts of these factors on market growth. This study uses a geospatially rich, bottom-up, PV market penetration model--the Solar Deployment Systems (SolarDS) model developed by the National Renewable Energy Laboratory--to explore key market and policy-based drivers for residential and commercial rooftop PV markets. The identified drivers include a range of options from traditional incentives, to attractive customer financing options, to net metering and carbon policy.

Drury, E.; Denholm, P.; Margolis, R.

2010-09-01T23:59:59.000Z

455

An Integrated Approach to Coal Gasifier Testing, Modeling, and Process Optimization  

SciTech Connect

Gasification is an important method of converting coal into clean burning fuels and high-value industrial chemicals. However, gasifier reliability can be severely limited by rapid degradation of the refractory lining in hot-wall gasifiers. The Pacific Northwest National Laboratory (PNNL) is performing multidisciplinary research to provide the experimental data and the engineering models needed to control gasifier operation for extended refractory life. Our experimental program includes prediction of slag viscosity using empirical viscosity models encompassing US coals, characterization of selected slag-refractory interaction including transport of slag/refractory components at the slag-refractory interface, and measurement of slag penetration into refractories as a function of time and temperature. The experimental data is used in slag flow, slag penetration, and refractory damage models to predict the operating temperature limits for increased refractory life. A simplified entrained flow gasifier model is also being developed to simulate one-dimensional axial flow with average axial velocity, coal devolatilization, and combustion kinetics. Combining the slag flow, refractory degradation, and gasifier models will provide a powerful tool to predict the coal and oxidant feed rates and control the gasifier operation to balance coal conversion efficiency with increased refractory life. A research scale gasifier has also been constructed at PNNL to provide syngas for coal conversion and carbon sequestration research, and also valuable datasets on operating conditions for validating the modeling results.

Sundaram, S. K.; Johnson, Kenneth I.; Matyas, Josef; Williford, Ralph E.; Pilli, Siva Prasad; Korolev, Vladimir N.

2009-10-01T23:59:59.000Z

456

Modeling the thermal-hydrologic processes in a large-scale underground heater test in partially saturated fractured tuff  

SciTech Connect

The Drift Scale Test (DST) is being conducted in an underground facility at Yucca Mountain, Nevada, to probe the coupled thermal, hydrological, mechanical, and chemical processes likely to occur in the fractured rock mass around a potential high-level nuclear waste repository. Thermal-hydrological processes in the DST have been simulated using a three-dimensional numerical model. The model incorporates the realistic test configuration and all available site-specific measurements pertaining to the thermal and hydrological properties of the unsaturated fractured tuff of the test block. The modeled predictions were compared to the extensive set of measured data collected in the first year of this 8-year-long test. The mean error between the predictions and measurement at 12 months of heating for over 1600 temperature sensors is about 2 degrees C. Heat-pipe signature in the temperature data, indicating two-phase regions of liquid-vapor counterflow, is seen in both the measurements and simulated results. The redistribution of moisture content in the rock mass (resulting from vaporization and condensation) was probed by periodic air-injection testing and geophysical measurements. Good agreement also occurred between the model predictions and these measurements. The general agreement between predictions from the numerical simulations and the measurements of the thermal test indicates that our fundamental understanding of the coupled thermal-hydrologic processes at Yucca Mountain is sound. However, effects of spatial heterogeneity from discrete fractures that are observed in the temperature data are not matched by simulations from the numerical model, which treat the densely spaced fractures as a continuum.

Birkholzer, J.T.; Tsang, Y.W.

1999-06-24T23:59:59.000Z

457

modelling of activation processes for GR-280 graphite at ignalina NPP  

Science Journals Connector (OSTI)

......channel-type power reactors. The total mass of...activation processes in the reactor's structural materials...INTRODUCTION The Ignalina Nuclear Power Plant (INPP...water-cooled RBMK-1500 reactor. The designed electrical...of which leads to the generation of radioactive long-lived......

Arturas Smaizys; Ernestas Narkunas; Povilas Poskas

2005-12-20T23:59:59.000Z

458

CAB International 2008. Ecohydrology: Processes, Models and Case Studies (eds Harper et al.) 207  

E-Print Network (OSTI)

our understand- ing that aquatic ecosystems contain intrinsic water purification systems wherein acceptable to the majority of organisms. These intrinsic services of water purification function to some of natural water purification processes, humans can make use of these features as explicit tools in larger

McClain, Michael

459

Modelling advanced adsorption processes for postcombustion capture. **FULLY FUNDED PROJECT UK/EU ONLY**  

E-Print Network (OSTI)

and the University of Edinburgh. Carbon capture from power stations and industrial sources is an essential pillar at the development of next generation carbon capture processes that reduce the cost of capital equipment with carbon capture and CO2 compression that has capture

Hall, Christopher

460

MODELING OF A NOVEL SOLUTION POTASH MINING PROCESS Sergio Almada, Harvey Haugen  

E-Print Network (OSTI)

by drilling followed by a number of steps to develop a solution mining cavern. Water is injected to dissolve a sump area within the salt at the base of the solution mining cavern. The sump allows insoluble materials settle within the cavern to avoid affecting the solution mining process and the dissolved salt can

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.


461

Second international symposium on the biogeochemistry of model estuaries: Estuarine processes in global change  

SciTech Connect

This report consists of abstracts of papers presented at the symposium of Biogeochemistry. The main topics discussed at the meeting are; nutrient and mineral cycling, trace element distribution, sources and sinks of estuaries, sedimentation, importance of organic matter, and other biogeochemical processes of estuaries.

Not Available

1991-12-31T23:59:59.000Z

462

Modeling shear failure and permeability enhancement due to coupled Thermal-Hydrological-Mechanical processes in Enhanced Geothermal Reservoirs  

SciTech Connect

The connectivity and accessible surface area of flowing fractures, whether natural or man-made, is possibly the single most important factor, after temperature, which determines the feasibility of an Enhanced Geothermal System (EGS). Rock deformation and in-situ stress changes induced by injected fluids can lead to shear failure on preexisting fractures which can generate microseismic events, and also enhance the permeability and accessible surface area of the geothermal formation. Hence, the ability to accurately model the coupled thermal-hydrologic-mechanical (THM) processes in fractured geological formations is critical in effective EGS reservoir development and management strategies. The locations of the microseismic events can serve as indicators of the zones of enhanced permeability, thus providing vital information for verification of the coupled THM models. We will describe a general purpose computational code, FEHM, developed for this purpose, that models coupled THM processes during multiphase fluid flow and transport in fractured porous media. The code incorporates several models of fracture aperture and stress behavior combined with permeability relationships. We provide field scale examples of applications to geothermal systems to demonstrate the utility of the method.

Kelkar, Sharad [Los Alamos National Laboratory

2011-01-01T23:59:59.000Z

463

Application of Autoregressive Models to In-Service Estimation of Transient Response for LMFBR Process Instrumentation  

SciTech Connect

The response of a sensor depends on its operating conditions, and thus it is desirable to develop an in-service method for response time estimation. The applicability of the autoregressive (AR) model for this purpose was examined in the case of the fuel subassembly outlet coolant thermocouples and the primary circuit electromagnetic flowmeter (EMF) of Monju, the prototype fast breeder reactor in Japan.The use of an AR model with exogenous input (ARX model) is possible when the physical variable to be sensed can be observed by an alternative means with a faster response time than that of the sensor in question. In the case of the subassembly outlet thermocouple, the temperature output from an eddy-current sensor, during pseudorandom reactor power variation, served as the exogenous input.In respect to the thermocouple response, AR and ARX modeling were shown to be applicable, and the transient responses thus derived agreed well with each other and with the results measured by means of a step change in sodium temperature. However, the primary circuit EMF response time, estimated using the AR model, decreased with increasing flow rate even when approaching the rated flow, demonstrating that the method was not completely applicable. Nevertheless, it can be concluded that the response is faster than that estimated in the rated condition.

Ueda, Masashi; Tomobe, Katsuma; Setoguchi, Keiichi; Endou, Akira [Japan Nuclear Cycle Development Institute (Japan)

2002-02-15T23:59:59.000Z

464

Modelling the Glass Press-Blow Process S.M.A. Allaart-Bruin, B.J. van der Linden, and R.M.M. Mattheij  

E-Print Network (OSTI)

Modelling the Glass Press-Blow Process S.M.A. Allaart-Bruin, B.J. van der Linden, and R.M.M. Mattheij TUE, CASA, Eindhoven, The Netherlands sbruin@win.tue.nl Summary. For the modelling of the glass- ficulties and is applied. Key words: Level Set Method, glass forming process 1 Introduction A typical stage

Eindhoven, Technische Universiteit

465

The following are appendices A, B1 and B2 of our paper, "Integrated Process Modeling and Product Design of Biodiesel Manufacturing", that appears in the Industrial and  

E-Print Network (OSTI)

a Biodiesel Process Model To access NIST TDE Data Engine in Aspen Plus version 2006.5 or V7.0 Step 1. Enter1 The following are appendices A, B1 and B2 of our paper, "Integrated Process Modeling and Product Design of Biodiesel Manufacturing", that appears in the Industrial and Engineering Chemistry Research

Liu, Y. A.

466

Development and Validation of a One-Dimensional Co-Electrolysis Model for Use in Large-Scale Process Modeling Analysis  

SciTech Connect

A one-dimensional chemical equilibrium model has been developed for analysis of simultaneous high-temperature electrolysis of steam and carbon dioxide (coelectrolysis) for the direct production of syngas, a mixture of hydrogen and carbon monoxide. The model assumes local chemical equilibrium among the four process-gas species via the shift reaction. For adiabatic or specified-heat-transfer conditions, 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. Alternately, for isothermal operation, it allows for determination of outlet composition, mean Nernst potential, operating voltage, electrolyzer power, and the isothermal heat requirement for specified inlet gas flow rates, operating temperature, current density and area-specific resistance. This model has been developed for incorporation into a system-analysis code from which the overall performance of large-scale coelectrolysis plants can be evaluated. The one-dimensional co-electrolysis model has been validated by comparison with results obtained from a 3-D computational fluid dynamics model and by comparison with experimental results.

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

2007-07-01T23:59:59.000Z

467

An ontology-based domain model to enhance the software development process  

Science Journals Connector (OSTI)

As many of the current programming languages provide only a single programming paradigm, most of the software developers need to mix and match different paradigms, which typically leads to an impedance mismatch. To avoid this, it is essential to develop a system which supports a multi-programming paradigm. The proposed system is developed integrating the ontology paradigm in a programming language called Clojure. These ontology paradigms are added as a library in Clojure, for reusability and code sharing. The basic approach used for integrating the systems is metaprogramming. This will craft and process languages for creating, modifying, adapting, adjusting and transforming other programs. The implementation of the ontology paradigm is theoretically based on description logics, which are formalisms for representing knowledge. The developed system will support ontological, functional, object-oriented and concurrent paradigms. The entire business process can be represented using the developed library.

Mary Alias; D. Doreen Hephzibah Miriam; C.R. Rene Robin

2014-01-01T23:59:59.000Z

468

Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model  

SciTech Connect

In this proposal, we have made major advances in the understanding of decadal and long term climate variability. (a) We performed a systematic study of multidecadal climate variability in FOAM-LPJ and CCSM-T31, and are starting exploring decadal variability in the IPCC AR4 models. (b) We develop several novel methods for the assessment of climate feedbacks in the observation. (c) We also developed a new initialization scheme DAI (Dynamical Analogue Initialization) for ensemble decadal prediction. (d) We also studied climate-vegetation feedback in the observation and models. (e) Finally, we started a pilot program using Ensemble Kalman Filter in CGCM for decadal climate prediction.

Zhengyu Liu, J. E. Kutzbach, R. Jacob, C. Prentice

2011-12-05T23:59:59.000Z

469

Process-chain approach to high-order perturbation calculus for quantum lattice models  

Science Journals Connector (OSTI)

A method based on Rayleigh-Schrödinger perturbation theory is developed that allows to obtain high-order series expansions for ground-state properties of quantum lattice models. The approach is capable of treating both lattice geometries of large spatial dimensionalities d and on-site degrees of freedom with large state space dimensionalities. It has recently been used to accurately compute the zero-temperature phase diagram of the Bose-Hubbard model on a hypercubic lattice, up to arbitrary large filling and for d=2, 3, and greater [Teichmann et al., Phys. Rev. B 79, 100503(R) (2009)].

André Eckardt

2009-05-28T23:59:59.000Z

470

Development of an Entrained Flow Gasifier Model for Process Optimization Study  

Science Journals Connector (OSTI)

Coal gasification is a versatile process to convert a solid fuel in syngas, which can be further converted and separated in hydrogen, which is a valuable and environmentally acceptable energy carrier. ... (5) The gasification reactions occur in the top section where pulverized dry coal is fed through a burner along with substoichiometric oxygen (from an air separation unit). ... The PSA purge gas is compressed and burned in a conventional gas turbine combined cycle, generating co-product electricity. ...

Enrico Biagini; Alessio Bardi; Gabriele Pannocchia; Leonardo Tognotti

2009-09-10T23:59:59.000Z

471

Numerical models analysis of energy conversion process in air-breathing laser propulsion  

SciTech Connect

Energy source was considered as a key essential in this paper to describe energy conversion process in air-breathing laser propulsion. Some secondary factors were ignored when three independent modules, ray transmission module, energy source term module and fluid dynamic module, were established by simultaneous laser radiation transportation equation and fluid mechanics equation. The incidence laser beam was simulated based on ray tracing method. The calculated results were in good agreement with those of theoretical analysis and experiments.

Hong Yanji; Song Junling; Cui Cunyan; Li Qian [Academy of Equipment Command and Technology, 101416 Beijing (China)

2011-11-10T23:59:59.000Z

472

Process modeling of plutonium conversion and MOX fabrication for plutonium disposition  

SciTech Connect

Two processes are currently under consideration for the disposition of 35 MT of surplus plutonium through its conversion into fuel for power production. These processes are the ARIES process, by which plutonium metal is converted into a powdered oxide form, and MOX fuel fabrication, where the oxide powder is combined with uranium oxide powder to form ceramic fuel. This study was undertaken to determine the optimal size for both facilities, whereby the 35 MT of plutonium metal will be converted into fuel and burned for power. The bounding conditions used were a plutonium concentration of 3--7%, a burnup of 20,000--40,000 MWd/MTHM, a core fraction of 0.1 to 0.4, and the number of reactors ranging from 2--6. Using these boundary conditions, the optimal cost was found with a plutonium concentration of 7%. This resulted in an optimal throughput ranging from 2,000 to 5,000 kg Pu/year. The data showed minimal costs, resulting from throughputs in this range, at 3,840, 2,779, and 3,497 kg Pu/year, which results in a facility lifetime of 9.1, 12.6, and 10.0 years, respectively.

Schwartz, K.L. [Univ. of Texas, Austin, TX (United States). Dept. of Nuclear Engineering

1998-10-01T23:59:59.000Z

473

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

E-Print Network (OSTI)

models, as well as standards, such as IFC and aecXML. To date we have tested a fin-tube radiant heat system FPT. Our findings include lessons learned in several areas: (1) adapting standard FPTs to specific facilities and their design intent, (2) common...

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

2007-01-01T23:59:59.000Z

474

Laboratory modelling of atmospheric dynamical processes J. Sommeria and H. Didelle  

E-Print Network (OSTI)

of cars or airplanes is commonly tested in wind tunnels. The wake of ships and the impact of waves in the Giant planet atmosphere. Finally examples of topographic wakes in a stratified fluid and gravity of field measurements. For instance validation of a model by observations in the present climatic

Paris-Sud XI, Université de

475

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

E-Print Network (OSTI)

The enthalpy model for coal and ash, the nonconventional3 H 2 S O 2 N 2 Sand Char Ash Coal Stream Number Within theH2S SO2 SAND MDEA ASH Coal CERT-2 Table E.3. Gasification

Lu, Xiaoming

2012-01-01T23:59:59.000Z

476

Conceptual model for transport processes in the Culebra Dolomite Member, Rustler Formation  

SciTech Connect

The Culebra Dolomite Member of the Rustler Formation represents a possible pathway for contaminants from the Waste Isolation Pilot Plant underground repository to the accessible environment. The geologic character of the Culebra is consistent with a double-porosity, multiple-rate model for transport in which the medium is conceptualized as consisting of advective porosity, where solutes are carried by the groundwater flow, and fracture-bounded zones of diffusive porosity, where solutes move through slow advection or diffusion. As the advective travel length or travel time increases, the nature of transport within a double-porosity medium changes. This behavior is important for chemical sorption, because the specific surface area per unit mass of the diffusive porosity is much greater than in the advective porosity. Culebra transport experiments conducted at two different length scales show behavior consistent with a multiple-rate, double-porosity conceptual model for Culebra transport. Tracer tests conducted on intact core samples from the Culebra show no evidence of significant diffusion, suggesting that at the core scale the Culebra can be modeled as a single-porosity medium where only the advective porosity participates in transport. Field tracer tests conducted in the Culebra show strong double-porosity behavior that is best explained using a multiple-rate model.

Holt, R.M. [Holt Hydrogeology, Placitas, NM (United States)] [Holt Hydrogeology, Placitas, NM (United States)

1997-08-01T23:59:59.000Z

477

DOI 10.1007/s10994-007-5042-6 Inductive process modeling  

E-Print Network (OSTI)

on discovering numeric laws (e.g., Langley 1981; Zytkow et al. 1990; Dzeroski and Todorovski 1993; Washio et al and often use general concepts or relations that occur in different models. Compare Kepler's third law, which relates a planet's period to its distance from the sun, with Newton's theory of gravitation, which

Langley, Pat

478

An integrated approach to coal gasifier testing, modeling, and process optimization  

SciTech Connect

Gasification is an important method of converting coal into clean-burning fuels and high-value industrial chemicals. However, gasifier reliability can be severely limited by rapid degradation of the refractory lining in hot-wall gasifiers. This paper describes an integrated approach to provide the experimental data and engineering models needed to better understand how to control gasifier operation for extended refractory life. The experimental program includes slag viscosity testing and measurement of slag penetration into refractories as a function of time and temperature. The experimental data is used in slag flow, slag penetration, and refractory damage models to predict the limits on operating temperature for increased refractory life. A simplified entrained flow gasifier model is also described to simulate one-dimensional axial flow with average axial velocity, coal devolatilization, and combustion kinetics. The goal of this experimental and model program is to predict coal and oxidant feed rates and to control the gasifier operation to balance coal conversion efficiency with increased refractory life. 26 refs., 7 figs., 3 tabs.

S.K. Sundaram; K.I. Johnson; J. Matyas; R.E. Williford; S.P. Pilli; V.N. Korolev [Pacific Northwest National Laboratory, Richland, WA (United States)

2009-09-15T23:59:59.000Z

479

Interoperability between a dynamic reliability modeling and a Systems Engineering process Principles and Case Study  

E-Print Network (OSTI)

element for interoperability with the tools and activities required for a dynamic reliability assessment. The case study is the dynamic assessment of availability of a feed-water control system in a power plant steam generator, presented in previous articles. Keywords: Systems engineering, systems modeling, RAMS

Paris-Sud XI, Université de

480

Exploratory Search Over Temporal Event Sequences: Novel Requirements, Operations, and a Process Model  

E-Print Network (OSTI)

-level analysis activities, and we hope can be a useful model for future and on- going exploratory search tools- mining approach. However, these approaches have significant differences in their support for interactive procedures in all patients, prior to their diagnosis of breast cancer, and also seek the average length

Golbeck, Jennifer

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481

Process-model simulations of cloud albedo enhancement by aerosols in the Arctic  

Science Journals Connector (OSTI)

...Timmreck. 2013 Sea-salt injections into the low-latitude marine boundary layer: the transient response in three Earth system models. J. Geophys. Res. 118, 12195-12206. ( doi:10.1002/2013JD020432 ) 62 Jenkins, AKL , and PM Forster...

2014-01-01T23:59:59.000Z

482

Modelling the fate of polybrominated diphenyl ethers (PBDEs) during the municipal sewage treatment process  

Science Journals Connector (OSTI)

Sewage treatment plants (STPs) are an important source to the environment for many chemicals of concern (COCs). Polybrominated diphenyl ethers (PBDEs) are one such group of COCs of present day concern for which studies on fate and transport during the ... Keywords: chemical fate and transport, mass balance model, polybrominated diphenyl ethers, risk assessment, sewage treatment, water and wastewater management

Kerry N. McPhedran; Rajesh Seth

2007-08-01T23:59:59.000Z

483

Process-Driven Feature Modeling for Variability Management of Project Environment Configurations  

E-Print Network (OSTI)

.winkler}@tuwien.ac.at ABSTRACT Technical projects environments, i.e., sets of methods and tools that support an engineering. For designing an effective and efficient engineering project environment, project managers and engineering of engineering project environment configurations and present a conceptual approach using semantic modeling

484

A Study to Investigate Cloud Feedback Processes and Evaluate GCM Cloud Variations Using Statistical Cloud Property Composites From ARM Data  

SciTech Connect

The representation of clouds in Global Climate Models (GCMs) remains a major source of uncertainty in climate change simulations. Cloud climatologies have been widely used to either evaluate climate model cloud fields or examine, in combination with other data sets, climate-scale relationships between cloud properties and dynamical or microphysical parameters. Major cloud climatologies have been based either on satellite observations of cloud properties or on surface observers views of cloud type and amount. Such data sets provide either the top-down view of column-integrated cloud properties (satellites) or the bottom-up view of the cloud field morphology (surface observers). Both satellite-based and surface cloud climatologies have been successfully used to examine cloud properties, to support process studies, and to evaluate climate and weather models. However, they also present certain limitations, since the satellite cloud types are defined using radiative cloud boundaries and surface observations are based on cloud boundaries visible to human observers. As a result, these data sets do not resolve the vertical distribution of cloud layers, an issue that is important in calculating both the radiative and the hydrologic effects of the cloud field. Ground-based cloud radar observations, on the other hand, resolve with good accuracy the vertical distribution of cloud layers and could be used to produce cloud type climatologies with vertical layering information. However, these observations provide point measurements only and it is not immediately clear to what extent they are representative of larger regimes. There are different methods that can be applied to minimize this problem and to produce cloud layering climatologies useful for both cloud process and model evaluation studies. If a radar system is run continuously over a number of years, it eventually samples a large number of dynamical and microphysical regimes. If additional data sets are used to put the cloud layering information into the context of large-scale dynamical regimes, such information can be used to study interactions among cloud vertical distributions and dynamical and microphysical processes and to evaluate the ability of models to simulate those interactions. The U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program has established several Climate Research Facilities (ACRF) that provide continuous, long-term observations of clouds and radiation. ARM, with its overall goal of improving the treatment of radiation and clouds in climate models has provided unique observing systems for accelerating progress on the representation of cloud processes. In this project, six and a half years (January 1998 to June 2004) of cloud observations collected at the Southern Great Plains (SGP) Oklahoma ACRF were used to produce a cloud-type climatology. The climatology provides cloud amounts for seven different cloud types as well as information on the detailed structure of multi-layer cloud occurrences. Furthermore, the European Centre for Medium-Range Weather Forecasts (ECMWF) model output was used to define the dynamic regimes present during the observations of the cloud conditions by the vertically pointing radars at the SGP ACRF. The cloud-type climatology and the ECMWF SGP data set were then analyzed to examine and map dynamical conditions that favor the creation of single-layer versus multi-layer cloud structures as well as dynamical conditions that favor the occurrence of drizzle in continental stratus clouds. In addition, output from the ECMWF weather model forecasts was analyzed with the objective to compare model and radar derived cloud type statistics, in order to identify the major model deficiencies in cloud vertical distribution and map their seasonal variations. The project included two primary goals. The first was to create a cloud type climatology over the Southern Great Planes site that will show how cloud vertical distribution varies with dynamic and thermodynamic regime and how these variations would affect cloud climate fe

George Tselioudis

2009-08-11T23:59:59.000Z

485

An Expert Elicitation Process in Support of Groundwater Model Evaluation for Frenchman Flat, Nevada National Security Site  

SciTech Connect

The U.S. Department of Energy is implementing corrective actions at facilities where nuclear-related operations were conducted in Nevada. Among the most significant sites being addressed are the locations of underground nuclear tests on the Nevada National Security Site (NNSS). The process for implementing corrective actions for the Underground Test Area (UGTA) locations is defined in Appendix VI of a Federal Facility Agreement and Consent Order (1996, as amended). In broad terms, Appendix VI describes a Corrective Action Investigation followed by a Corrective Action Decision, and implementation of a Corrective Action Plan prior to closure. The Frenchman Flat Corrective Action Unit (CAU) is farthest along in the UGTA corrective action process. It includes ten underground tests within the Frenchman Flat topographic basin, in the southeastern portion of the NNSS. Data have been collected from drilling exploration, hydrologic testing, and field and laboratory studies. Modeling has been completed at a variety of scales and focusing on a variety of flow and transport aspects ranging from regional boundary conditions to process dynamics within a single nuclear cavity. The culmination of the investigations is a transport model for the Frenchman Flat CAU (Stoller Navarro Joint Venture, 2009) that has undergone rigorous peer review and been accepted by the State of Nevada, setting the stage for the Corrective Action Decision and progression from the investigation phase to the corrective action phase of the project.

Chapman Jenny,Pohlmann Karl

2011-02-01T23:59:59.000Z

486

Modeling the Uptake of Semivolatile Organic Compounds by Passive Air Samplers: Importance of Mass Transfer Processes within the Porous Sampling Media  

Science Journals Connector (OSTI)

E+, E– and ?USA are interrelated (illustrated in SI Figure S6) through(8)Using the model, we also investigated the chemical uptake curve with the intention of explaining a rapid decrease in the PSR of the PUF-PAS after the first few weeks of sampling. ... Both adsorption and desorption processes are assumed to occur simultaneously and a numerical model was developed with a non-linear driving force in conjunction with the Langmuir model for predicting the overall adsorption process. ...

Xianming Zhang; Frank Wania

2012-07-30T23:59:59.000Z

487

Integrated municipal solid waste scenario model using advanced pretreatment and waste to energy processes  

Science Journals Connector (OSTI)

Abstract In this paper an Integrated Municipal Solid Waste scenario model (IMSW-SM) with a potential practical application in the waste management sector is analyzed. The model takes into account quantification and characterization of Municipal Solid Waste (MSW) streams from different sources, selective collection (SC), advanced mechanical sorting, material recovery and advanced thermal treatment. The paper provides a unique chain of advanced waste pretreatment stages of fully commingled waste streams, leading to an original set of suggestions and future contributions to a sustainable IMSWS, taking into account real data and EU principles. The selection of the input data was made on MSW management real case studies from two European regions. Four scenarios were developed varying mainly SC strategies and thermal treatment options. The results offer useful directions for decision makers in order to calibrate modern strategies in different realities.

Gabriela Ionescu; Elena Cristina Rada; Marco Ragazzi; Cosmin M?rculescu; Adrian Badea; Tiberiu Apostol

2013-01-01T23:59:59.000Z

488

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

E-Print Network (OSTI)

of VD', diffusion fluxes of Model III to Model The effect of VD' (V L /(0 S )) on the S and P concentration profiles, 2 m 0 presented in F1gure 6, was obtained by letting D equal 0. 01 and 0. 02 respectively wh1le holding V , L, and S constant...) ? &( S(K' /K i~. l) ? Y S(K /K -"'e0lj ? z INN I BI 7 I QN P IK/KSI=I. Q) ? 3I P(K. /k -=el) ? K P(K /k =?01 j Z m si m si I . =1 00 ~ I . =100. I . ~10. o o ?3 I c:o ~o LIJ ?0 m tel Cf) W c&R ?o o Z, W X O . 00 1. 00 2. 00 3. 00 %00 6...

Faith, Duane Willbern

2012-06-07T23:59:59.000Z

489

MODELING AN ION EXCHANGE PROCESS FOR CESIUM REMOVAL FROM ALKALINE RADIOACTIVE WASTE SOLUTIONS  

SciTech Connect

The performance of spherical Resorcinol-Formaldehyde ion-exchange resin for the removal of cesium from alkaline radioactive waste solutions has been investigated through computer modeling. Cesium adsorption isotherms were obtained by fitting experimental data using a thermodynamic framework. Results show that ion-exchange is an efficient method for cesium removal from highly alkaline radioactive waste solutions. On average, two 1300 liter columns operating in series are able to treat 690,000 liters of waste with an initial cesium concentration of 0.09 mM in 11 days achieving a decontamination factor of over 50,000. The study also tested the sensitivity of ion-exchange column performance to variations in flow rate, temperature and column dimensions. Modeling results can be used to optimize design of the ion exchange system.

Smith, F; Luther Hamm, L; Sebastian Aleman, S; Johnston Michael, J

2008-08-26T23:59:59.000Z

490

Validation of reduced kinetic models for simulations of non-steady combustion processes  

E-Print Network (OSTI)

In the present work we compare reliability of several most widely used reduced detailed chemical kinetic schemes for hydrogen-air and hydrogen-oxygen combustible mixtures. The validation of the schemes includes detailed analysis of 0D and 1D calculations and comparison with experimental databases containing data on induction time, equilibrium temperature, composition of the combustion products, laminar flame speed and the flame front thickness at different pressures. 1D calculations are carried out using the full gasdynamical system for compressible viscous thermal conductive multicomponent mixture. The proper choice of chemical kinetics models is essential for obtaining reliable quantitative and qualitative insight into combustion phenomena such as flame acceleration and stability, ignition, transition from deflagration-to-detonation (DDT) using a multiscale numerical modeling.

Ivanov, M F; Liberman, M A; Smygalina, A E

2013-01-01T23:59:59.000Z

491

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

E-Print Network (OSTI)

International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 In a previouspaper (Akin, et.al., 2007), we described our findings on product modeling and interoperability of FPT protocols, including testing standard FPT..., et.al., 2007), one of the valve actuator was found ESL-IC-08-10-28 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 3 to be missing. The part was removed to be repaired...

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

492

Structured Mathematical Modeling, Bifurcation, and Simulation for the Bioethanol Fermentation Process Using Zymomonas mobilis  

Science Journals Connector (OSTI)

§ Basic Engineering Sciences Deptartment, Menoufia University, Egypt ... In addition, ethanol is a biodegradable fuel and does not produce unhealthy emissions like gasoline and other classical fuels and can be produced from renewable raw materials (RRMs) such as lignoceluolisic biomass. ... From experimental observations of the production of ethanol using Z. mobiliz,(17, 20) a mathematical model can be proposed where substrate is consumed in terms of ethanol as a product and energy by living cells at the rate of ?v. ...

Ibrahim Hassan Mustafa; Ali Elkamel; Ali Lohi; Gamal Ibrahim; Said Salah Eldin Hamed Elnashaie

2014-02-28T23:59:59.000Z

493

MODELING THE MODULATION OF GALACTIC AND JOVIAN ELECTRONS BY STOCHASTIC PROCESSES  

SciTech Connect

We present a newly developed numerical modulation model to study the transport of galactic and Jovian electrons in the heliosphere. The model employs stochastic differential equations (SDEs) to solve the corresponding transport equation in five dimensions (time, energy, and three spatial dimensions) which is difficult to accomplish with the numerical schemes used in finite difference models. Modeled energy spectra for galactic electrons are compared for the two drift cycles to observations at Earth. Energy spectra and radial intensity profiles of galactic and Jovian electrons are compared successfully to results from previous studies. In line with general drift considerations, it is found that most 100 MeV electrons observed at Earth enter the heliosphere near the equatorial regions in the A > 0 cycle, while they enter mainly over the polar regions in the A < 0 cycle. Our results indicate that 100 MeV electrons observed at Earth originate at the heliopause with {approx}600 MeV undergoing adiabatic cooling during their transport to Earth. The mean propagation time of these particles varies between {approx}180 and 300 days, depending on the drift cycle. For 10 MeV Jovian electrons observed at Earth, a mean propagation time of {approx}40 days is obtained. During this time, the azimuthal position of the Jovian magnetosphere varies by {approx}1{sup 0}. At a 50 AU observational point, the mean propagation time of these electrons increases to {approx}370 days with an azimuthal position change of Jupiter of {approx}20{sup 0}. The SDE approach is very effective in calculating these propagation times.

Strauss, R. D.; Potgieter, M. S.; Buesching, I.; Kopp, A., E-mail: dutoit.strauss@nwu.ac.za [Centre for Space Research, North-West University, Potchefstroom, 2520 (South Africa)

2011-07-10T23:59:59.000Z

494

Does really Born–Oppenheimer approximation break down in charge transfer processes? An exactly solvable model  

Science Journals Connector (OSTI)

Effects of deviation from the Born–Oppenheimer approximation (BOA) on the non-adiabatic transition probability for the transfer of a quantum particle in condensed media are studied within an exactly solvable model. The particle and the medium are modeled by a set of harmonic oscillators. The dynamic interaction of the particle with a single local mode is treated explicitly without the use of BOA. Two particular situations (symmetric and non-symmetric systems) are considered. It is shown that the difference between the exact solution and the true BOA is negligibly small at realistic parameters of the model. However, the exact results differ considerably from those of the crude Condon approximation (CCA) which is usually considered in the literature as a reference point for BOA (Marcus–Hush–Dogonadze formula). It is shown that the exact rate constant can be smaller (symmetric system) or larger (non-symmetric one) than that obtained in CCA. The non-Condon effects are also studied.

Alexander M. Kuznetsov; Igor G. Medvedev

2006-01-01T23:59:59.000Z

495

A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy  

SciTech Connect

We present a new smoothed particle hydrodynamics (SPH) model for friction stir welding (FSW). FSW has found broad commercial application in the marine, aerospace, rail and automotive industries. Development of the FSW process for each new application, however, has remained largely empirical. Few established numerical modeling techniques have been developed that can explain and predict important features of the process physics involved in FSW. This is particularly true in the areas of material ?ow, mixing mechanisms, and void formation. In this paper we present a novel modeling approach to simulate FSW that may have signi?cant advantages over current ?nite element or ?nite di?erence based methods. Unlike traditional grid-based methods, Lagrangian particle methods such as SPH can simulate the dynamics of interfaces, large material deformations, and the material’s strain and temperature history without employing complex tracking schemes. Three-dimensional simulations of FSW on AZ31 Mg alloy are presented. Numerical results are in a close quantitative agreement with experimental observations.

Pan, Wenxiao; Li, Dongsheng; Tartakovsky, Alexandre M.; Ahzi, Said; Khraisheh, Marwan; Khaleel, Mohammad A.

2013-09-06T23:59:59.000Z

496

Defect Engineering, Cell Processing, and Modeling for High-Performance, Low-Cost Crystalline Silicon Photovoltaics  

SciTech Connect

The objective of this project is to close the efficiency gap between industrial multicrystalline silicon (mc-Si) and monocrystalline silicon solar cells, while preserving the economic advantage of low-cost, high-volume substrates inherent to mc-Si. Over the course of this project, we made significant progress toward this goal, as evidenced by the evolution in solar-cell efficiencies. While most of the benefits of university projects are diffuse in nature, several unique contributions can be traced to this project, including the development of novel characterization methods, defect-simulation tools, and novel solar-cell processing approaches mitigate the effects of iron impurities ("Impurities to Efficiency" simulator) and dislocations. In collaboration with our industrial partners, this project contributed to the development of cell processing recipes, specialty materials, and equipment that increased cell efficiencies overall (not just multicrystalline silicon). Additionally, several students and postdocs who were either partially or fully engaged in this project (as evidenced by the publication record) are currently in the PV industry, with others to follow.

Buonassisi, Tonio

2013-02-26T23:59:59.000Z

497

Quark-lepton symmetric model at the LHC  

Science Journals Connector (OSTI)

We investigate the quark-lepton symmetric model of Foot and Lew in the context of the Large Hadron Collider (LHC). In this “bottom-up” extension to the standard model, quark-lepton symmetry is achieved by introducing a gauged “leptonic color” symmetry which is spontaneously broken above the electroweak scale. If this breaking occurs at the TeV scale, then we expect new physics to be discovered at the LHC. We examine three areas of interest: the Z? heavy neutral gauge boson, charge ±1/2 exotic leptons, and a color triplet scalar diquark. We find that the LHC has already explored and/or will explore new parameter space for these particles over the course of its lifetime.

Jackson D. Clarke; Robert Foot; Raymond R. Volkas

2012-04-10T23:59:59.000Z

498

Jordan Boyd-Graber and David M. Blei. Syntactic Topic Models. Neural Information Processing Systems, 2008. @inproceedings{Boyd-Graber:Blei-2008,  

E-Print Network (OSTI)

Jordan Boyd-Graber and David M. Blei. Syntactic Topic Models. Neural Information Processing Systems, 2008. @inproceedings{Boyd-Graber:Blei-2008, Author = {Jordan Boyd-Graber and David M. Blei}, Booktitle = {Syntactic Topic Models}, } 1 #12;Syntactic Topic Models Jordan Boyd-Graber Department of Computer Science 35

Boyd-Graber, Jordan

499

Preliminary Feasibility Assessment of Integrating CCHP with NW Food Processing Plant #1: Modeling Documentation  

SciTech Connect

The Pacific Northwest National Laboratory (PNNL) has launched a project funded by the Bonneville Power Association (BPA) to identify strategies for increasing industrial energy efficiency and reducing energy costs of Northwest Food Processors Association (NWFPA) plants through deployment of novel combinations and designs of variable-output combined heat and power (CHP) distributed generation (DG), combined cooling, heating and electric power (CCHP) DG and energy storage systems. Detailed evaluations and recommendations of CHP and CCHP DG systems will be performed for several Northwest (NW) food processing sites. The objective is to reduce the overall energy use intensity of NW food processors by 25% by 2020 and by 50% by 2030, as well as reducing emissions and understanding potential congestion reduction impacts on the transmission system in the Pacific Northwest.

Hoffman, Michael G.; Srivastava, Viraj; Wagner, Anne W.; Makhmalbaf, Atefe; Thornton, John

2014-01-01T23:59:59.000Z

500

Numerical Modeling of Geomechanical Processes Related to CO{sub 2} Injection within Generic Reservoirs  

SciTech Connect

In this project generic anticline structures have been used for numerical modeling analyses to study the influence of geometrical parameters, fluid flow boundary conditions, in situ stress regime and inter-bedding friction coefficient on geomechanical risks such as fracture reactivation and fracture generation. The resulting stress states for these structures are also used to determine safe drilling directions and a methodology for wellbore trajection optimization is developed that is applicable for non-Andersonian stress states. The results of the fluid flow simulation show that the type of fluid flow boundary condition is of utmost importance and has significant impact on all injection related parameters. It is recommended that further research is conducted to establish a method to quantify the fluid flow boundary conditions for injection applications. The results of the geomechanical simulation show that in situ stress regime is a crucial, if not the most important, factor determining geomechanical risks. For extension and strike slip stress regimes anticline structures should be favored over horizontally layered basin as they feature higher ?P{sub c} magnitudes. If sedimentary basins are tectonically relaxed and their state of stress is characterized by the uni-axial strain model the basin is in exact frictional equilibrium and fluids should not be injected. The results also show that low inter bedding friction coefficients effectively decouple layers resulting in lower ?P{sub c} magnitudes, especially for the compressional stress regime.

Eckert, Andreas

2013-05-31T23:59:59.000Z