The macroeconomic module of the Energy Policy Evaluation Model of Guatemala
Booth, S.R. (Los Alamos National Lab., NM (USA)); Cancino, R. (Direccion General de Planificacion y Desarrollo Energetico, Guatemala City (Guatemala))
1991-08-01T23:59:59.000Z
This report describes the methodology and results of the macroeconomic module of the Energy Policy Evaluation Model of Guatemala (MEPEG). This effort was conducted jointly by the Ministry of Energy and Mines of Guatemala and Los Alamos National Laboratory under the Central American Energy and Resources Project of Los Alamos, funded by the US Agency for International Development. The data, theory, empirical specification, and simulation results of the macroeconomic module are described. 10 refs., 2 figs., 6 tabs.
NONE
1997-02-01T23:59:59.000Z
This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 1997 (AEO 97). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code. This document serves three purposes. First it is a reference document providing a detailed description of the NEMS MAM used for the AEO 1997 production runs for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.
U.S. Energy Information Administration (EIA) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home PageSummary" ,"Click worksheet nameDomesticResidentialEstimatedCrude Oil +Decade (MillionThousand Cubic Model
Term Structure Dynamics with Macroeconomic Factors
Park, Ha-Il
2011-02-22T23:59:59.000Z
Affine term structure models (ATSMs) are known to have a trade-off in predicting future Treasury yields and fitting the time-varying volatility of interest rates. First, I empirically study the role of macroeconomic variables ...
Essays in International Macroeconomics and Forecasting
Bejarano Rojas, Jesus Antonio
2012-10-19T23:59:59.000Z
This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks...
Alternative Measures of Welfare in Macroeconomic Models
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm Biofuelin HawaiiNatural Gas Trucksatural gas costs less
Llosa, Luis Gonzalo
2012-01-01T23:59:59.000Z
A Microfounded Business Cycle Model . . . . . . . . . . .A Real Business Cycle Model . . . . . . . . . . . .A Real Business Cycle Model . . . . .
A SIMULATION MODEL FOR CANADA-US CLIMATE POLICY ANALYSIS
gas emissions; carbon tax; energy consumption; energy supply; energy trade Subject Terms: Climatic climate change requires sophisticated energy-economy models. This research is a step towards the integration of bottom-up technology models and top-down macroeconomic models. A simulation model of the energy
An Evaluation of Macroeconomic Models for Use at EIA
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm Biofuelin HawaiiNatural GasofAmesopticalAn An EqualEvaluation
An empirical specification of the pesek and saving macroeconomic model
Moser, Ernest Richard
1970-01-01T23:59:59.000Z
nodal. . 'izrtheitiore, because cur=. nt real incone acid the irrice 'eve' 'o nct e. ter the ecuations for t!ie 'nve tnc. . t "nd the supdly of ooiids, these ecuatiors wi'1 be c: actlv the s oe -- t!ie ouction in t!ie incone sdjustnert =odel. "". ese.... 0005 52. 15" 1. 06 F-value ce The de-ia. . . f' or aoney ecuation yielcs a hi?'hly siCnificent F-value. . ne ccncte'it current roal inco "e coef icicn. i. not sii nificar. tly dif ere. . t f. osi zero. Tiie "real balances" coefficiont has...
Modelling the balanced transition to a sustainable economy
Bastin, Georges
, full recycling of material resources and limitation of greenhouse gas emissions. The main concern´e catholique de Louvain. 1 #12;footprint, material intensity and recycling rate). As it is usual in macroeconomic modeling, the model consists essentially of "flow balance equations" that combine aggregate stock
Essays in Quantitative Macroeconomics
Neumuller, Seth
2013-01-01T23:59:59.000Z
quantitative model), I choose to focus on the volatility of permanent shocks to wages as the measure of risk for my analysis.
Essays in open economy macroeconomics
Ghosh, Indradeep, Ph. D. Massachusetts Institute of Technology
2007-01-01T23:59:59.000Z
This thesis is a collection of two essays on open economy macroeconomics. The first essay is on imperfect asset substitutability and current account dynamics. It is divided into four chapters. The first chapter in this ...
Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]
1997-05-21T23:59:59.000Z
This chapter describes the lifecycle model used for the Departmental software engineering methodology.
On housing booms and credit market conditions: A state space model
Del Moral , Pierre
of residential mortgage loans, especially since 2002. The impulse response analysis from the estimated model imply lower financial costs of the mortgage loan, which may lead to an increas- ing demand for housing, Mukherjee, Seru and Vig; 2010). Despite these findings, at the level of macroeconomic aggregation, no clear
Essays on macroeconomics and forecasting
Liu, Dandan
2006-10-30T23:59:59.000Z
forecasting models compared to alternatives that include univariate autoregression (AR) model, the VAR model and Stock and WatsonÃ¢Â?Â?s (2002) models, especially when forecasting real variables. In chapter IV, we measure U.S. technology shocks by implementing...
H. Yang
1999-11-04T23:59:59.000Z
The purpose of this analysis and model report (AMR) for the Ventilation Model is to analyze the effects of pre-closure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts and provide heat removal data to support EBS design. It will also provide input data (initial conditions, and time varying boundary conditions) for the EBS post-closure performance assessment and the EBS Water Distribution and Removal Process Model. The objective of the analysis is to develop, describe, and apply calculation methods and models that can be used to predict thermal conditions within emplacement drifts under forced ventilation during the pre-closure period. The scope of this analysis includes: (1) Provide a general description of effects and heat transfer process of emplacement drift ventilation. (2) Develop a modeling approach to simulate the impacts of pre-closure ventilation on the thermal conditions in emplacement drifts. (3) Identify and document inputs to be used for modeling emplacement ventilation. (4) Perform calculations of temperatures and heat removal in the emplacement drift. (5) Address general considerations of the effect of water/moisture removal by ventilation on the repository thermal conditions. The numerical modeling in this document will be limited to heat-only modeling and calculations. Only a preliminary assessment of the heat/moisture ventilation effects and modeling method will be performed in this revision. Modeling of moisture effects on heat removal and emplacement drift temperature may be performed in the future.
V. Chipman
2002-10-05T23:59:59.000Z
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).
Macroeconomic models of consumer demand for consumer packaged goods in Asia
Mau, Jonathan
2012-01-01T23:59:59.000Z
CPGCo, a global manufacturer of consumer packaged goods, has had tremendous difficulty in producing accurate forecasts for its products in developing markets. The problem was especially apparent during the global economic ...
Sandia Energy - Systems Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Simulation Model Energy, Power & Water Simulation Model SunCity Model Water, Energy and Carbon Sequestration Model Gila Basin-Az Water Settlement Model Electrical Grid Storage...
National Energy Modeling System (NEMS)
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.
Modeling Quality Information within Business Process Models
Paech, Barbara
Modeling Quality Information within Business Process Models Robert Heinrich, Alexander Kappe. Business process models are a useful means to document information about structure and behavior literature and tool survey on modeling quality information within business process models. Keywords: Business
Broader source: Energy.gov [DOE]
Zip file containing the LEDCOM model as an excel worksheet, the backend database, and an operating information document. Extract all files to the same local directory on your computer.
The National Energy Modeling System: An overview
Not Available
1994-05-01T23:59:59.000Z
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.
The National Energy Modeling System: An overview 1998
NONE
1998-02-01T23:59:59.000Z
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.
Essays on political institutions and macroeconomics
Yared, Pierre
2007-01-01T23:59:59.000Z
This dissertation consists of three chapters on the interaction of political institutions and macroeconomic activity in dynamic environments. Chapter 1 studies the optimal management of taxes and debt in a framework which ...
Essays on macroeconomic risks and stock prices
Duarte, Fernando Manuel
2011-01-01T23:59:59.000Z
In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default Sign In About | CareersUSING PV MODULE AND LINE0 Sign InModeling Modeling of
Essays on finance and macroeconomics
Di Tella, Sebastian T. (Sebastian Tariacuri)
2013-01-01T23:59:59.000Z
This thesis studies the role of the financial system in the amplification and propagation of business cycles. Chapter 1 studies the origin and propagation of balance sheet recessions. I first show that in standard models ...
A. Alsaed
2004-09-14T23:59:59.000Z
The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).
Economics definitions, methods, models, and analysis procedures for Homeland Security applications.
Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward
2010-01-01T23:59:59.000Z
This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.
Models for Modeling* Michael Weisberg
Weisberg, Michael
barriers would consist of earth and rock dams, and their tops would be sealed so that they could hold new the salt water barriers and risking harm to the bay? To better study the plan the Corps built a hydraulic. Hydraulic pumps simulated the action of tidal and river flows in the Bay, modeling tides, currents
Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)
2010-09-10T23:59:59.000Z
The atomic nucleus is a typical example of a many-body problem. On the one hand, the number of nucleons (protons and neutrons) that constitute the nucleus is too large to allow for exact calculations. On the other hand, the number of constituent particles is too small for the individual nuclear excitation states to be explained by statistical methods. Another problem, particular for the atomic nucleus, is that the nucleon-nucleon (n-n) interaction is not one of the fundamental forces of Nature, and is hard to put in a single closed equation. The nucleon-nucleon interaction also behaves differently between two free nucleons (bare interaction) and between two nucleons in the nuclear medium (dressed interaction).Because of the above reasons, specific nuclear many-body models have been devised of which each one sheds light on some selected aspects of nuclear structure. Only combining the viewpoints of different models, a global insight of the atomic nucleus can be gained. In this chapter, we revise the the Nuclear Shell Model as an example of the microscopic approach, and the Collective Model as an example of the geometric approach. Finally, we study the statistical properties of nuclear spectra, basing on symmetry principles, to find out whether there is quantum chaos in the atomic nucleus. All three major approaches have been rewarded with the Nobel Prize of Physics. In the text, we will stress how each approach introduces its own series of approximations to reduce the prohibitingly large number of degrees of freedom of the full many-body problem to a smaller manageable number of effective degrees of freedom.
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsEnergyMarketing Corporation |AtiqAutonomie Model (Argonne National Laboratory)
Macroeconomics: A Survey of Laboratory Research Department of Economics
Tesfatsion, Leigh
to laboratory experiments involving human subjects but rather to computational experiments using calibrated Welcome Abstract This chapter surveys laboratory experiments addressing macroeconomic phenomena. The first and mechanisms for resolving these problems. Part three looks at experiments in specific macroeconomic sectors
A Java Agent-based MacroEconomic Laboratory
Tesfatsion, Leigh
A Java Agent-based MacroEconomic Laboratory Pascal Seppecher May 2, 2012 Abstract This paper as a Java application (Jamel: Java Agent-based MacroEconomic Laboratory). This application, together
PHENOMENOLOGY Wireless Channel Modeling
Giridhar, K.
PHENOMENOLOGY Wireless Channel Modeling Clarke's, Jakes' and modified Jakes' models Koyalkar Raman? What is channel modeling? Wireless channel modeling Modeling Fading Rayleigh Clarke's, Jakes, they are short ranged, motion restricted. Channel Wired - Single Path - Motion Restricted Wireless - Multipath
Multivariate Receptor Models and Model Uncertainty
Washington at Seattle, University of
Multivariate Receptor Models and Model Uncertainty Eun Sug Park Man-Suk Oh Peter Guttorp NRCSET e c provides the Center's primary funding. #12;Multivariate Receptor Models and Model Uncertainty Eun Sug Park1 composition profiles, and the source contributions is the main interest in multivariate receptor modeling. Due
Translating Model Simulators to Analysis Models
de Lara, Juan
Translating Model Simulators to Analysis Models Juan de Lara1 and Hans Vangheluwe2 1 Polytechnic generation of model-to-model transformations given a description of the operational semantics of the source of operational triple graph grammar rules that transform the static information (initial model) and the dynamics
Protein Structure Modeling With MODELLER Narayanan Eswar$
Sali, Andrej
of MODELLER to construct a comparative model for a protein with unknown structure. Automation of similar se- quence and the template(s); (iii) building a model based on the alignment with the cho- sen user intervention and within minutes on a desktop computer. Apart from model building, MODELLER can
Modeling diffusion of electrical appliances in the residential sector
McNeil, Michael A.; Letschert, Virginie E.
2009-11-22T23:59:59.000Z
This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.
Modelling intonational structure using hidden markov models.
Wright, Helen; Taylor, Paul A
1997-01-01T23:59:59.000Z
A method is introduced for using hidden Markov models (HMMs) to model intonational structure. HMMs are probabilistic and can capture the variability in structure which previous finite state network models lack. We show ...
Silberschatz, Avi
. The various data models that have been proposed fall into three di erent groups: object-based logical models, record-based logical models, and physical data models. Physical data models are used to describe data models. Object-based logical models provide exible structuring capabilities and allow data constraints
Joseph, Earl C.; Conway, Steve; Dekate, Chirag
2013-09-30T23:59:59.000Z
This study investigated how high-performance computing (HPC) investments can improve economic success and increase scientific innovation. This research focused on the common good and provided uses for DOE, other government agencies, industry, and academia. The study created two unique economic models and an innovation index: 1 A macroeconomic model that depicts the way HPC investments result in economic advancements in the form of ROI in revenue (GDP), profits (and cost savings), and jobs. 2 A macroeconomic model that depicts the way HPC investments result in basic and applied innovations, looking at variations by sector, industry, country, and organization size. ? A new innovation index that provides a means of measuring and comparing innovation levels. Key findings of the pilot study include: IDC collected the required data across a broad set of organizations, with enough detail to create these models and the innovation index. The research also developed an expansive list of HPC success stories.
Modeling Traffic Flow Emissions
Cappiello, Alessandra
2002-09-17T23:59:59.000Z
The main topic of this thesis is the development of light-duty vehicle dynamic emission models and their integration with dynamic traffic models. Combined, these models
Macroeconomics and Health: Investing in Health for
Macroeconomics and Health: Investing in Health for Economic Development #12;Information concerning be obtained from: World Health Organization Marketing and Dissemination 1211 Geneva 27, Switzerland tel: (41 clear and strong on the central task of raising the health of the poor. I can be `realistic
Chemistry Old Models New Models The Mayo-Lewis Copolymerization Model
Ponomarenko, Vadim
Chemistry Old Models New Models The Mayo-Lewis Copolymerization Model Vadim Ponomarenko Department://www-rohan.sdsu.edu/vadim/mayolewis.pdf #12;Chemistry Old Models New Models Outline Chemistry Old Models New Models #12;Chemistry Old Models New Models Outline Chemistry Old Models New Models #12;Chemistry Old Models New Models Basics
MODELS AND HISTORY OF MODELING Hermann Schichl
Schichl, Hermann
-Sun and Earth-Moon and, best known, the circumference of the Earth by a mathemati- cal/geometric model mechanics by circles, developed by 150 AD a mathematical model of the solar system with circlesChapter 2 MODELS AND HISTORY OF MODELING Hermann Schichl Institut fÂ¨ur Mathematik der Universit
John A. Schroeder
2012-06-01T23:59:59.000Z
The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.
Topological Massive Sigma Models
N. D. Lambert
1995-05-03T23:59:59.000Z
In this paper we construct topological sigma models which include a potential and are related to twisted massive supersymmetric sigma models. Contrary to a previous construction these models have no central charge and do not require the manifold to admit a Killing vector. We use the topological massive sigma model constructed here to simplify the calculation of the observables. Lastly it is noted that this model can be viewed as interpolating between topological massless sigma models and topological Landau-Ginzburg models.
Conventional regression models Unlabelled units
McCullagh, Peter
Conventional regression models Unlabelled units Consequences Sampling bias in logistic models Peter effects #12;Conventional regression models Unlabelled units Consequences Outline 1 Conventional regression models Gaussian models Binary regression model Properties of conventional models 2 Unlabelled units Point
Office of Energy Efficiency and Renewable Energy (EERE)
Webinar attendees will learn what collaborative, stakeholder-driven modeling is, how the models developed have been and could be used, and how specifically this process and resulting models might...
Introduction & Scope Model & Calibration
Kuhn, Matthew R.
Introduction & Scope Principles Model & Calibration Applications Granular Fabric and Stress / papers / ASME07.pdf LATEX #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- November 12, 2007 http
Energy Science and Technology Software Center (OSTI)
003655IBMPC00 Campus Energy Model for Control and Performance Validation https://github.com/NREL/CampusEnergyModeling/releases/tag/v0.2.1
Broader source: Energy.gov [DOE]
DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... Sandia Team Attends World...
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Analysis Permalink Gallery Sandia Study Shows Large LNG Fires Hotter but Smaller Than Expected Analysis, Energy Assurance, Infrastructure Security, Modeling, Modeling & Analysis,...
Modeling Fluid Flow in Natural Systems, Model Validation and...
Office of Environmental Management (EM)
Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Clay and granitic units are...
Documentation of the DRI Model of the US economy, December 1993
Not Available
1994-02-28T23:59:59.000Z
The Energy Information Administration (EIA) uses models of the US economy developed by Data Resources, Inc. (DRI) for conducting policy analyses, preparing forecasts for the Annual Energy Outlook, the Short-Term Energy Outlook, and related analyses in conjunction with EIA`s National Energy Modeling System (NEMS) and its other energy market models. Both the DRI Model of the US Economy and the DRI Personal Computer Input-Output Model (PC-IO){sup 2} were developed and are maintained by DRI as proprietary models. This report provides documentation, as required by EIA standards for the use of proprietary models; describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations. Appendix A describes how the two large-scale models documented here are used to support the macroeconomic and interindustry modeling associated with the National Energy Modeling System. Appendix B is an article by Stephen McNees of the Federal Reserve Bank of Boston on ``How Large are Economic Forecast Errors.`` This article assesses the forecast accuracy of a number of economic forecasting models (groups) and is attached as an independent assessment of the forecast accuracy of the DRI Model of the US Economy.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
28, 2014, in Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News,...
C. Ahlers; H. Liu
2000-03-12T23:59:59.000Z
The purpose of this Analysis/Model Report (AMR) is to document the Calibrated Properties Model that provides calibrated parameter sets for unsaturated zone (UZ) flow and transport process models for the Yucca Mountain Site Characterization Project (YMP). This work was performed in accordance with the ''AMR Development Plan for U0035 Calibrated Properties Model REV00. These calibrated property sets include matrix and fracture parameters for the UZ Flow and Transport Model (UZ Model), drift seepage models, drift-scale and mountain-scale coupled-processes models, and Total System Performance Assessment (TSPA) models as well as Performance Assessment (PA) and other participating national laboratories and government agencies. These process models provide the necessary framework to test conceptual hypotheses of flow and transport at different scales and predict flow and transport behavior under a variety of climatic and thermal-loading conditions.
Model Validation Status Review
E.L. Hardin
2001-11-28T23:59:59.000Z
The primary objective for the Model Validation Status Review was to perform a one-time evaluation of model validation associated with the analysis/model reports (AMRs) containing model input to total-system performance assessment (TSPA) for the Yucca Mountain site recommendation (SR). This review was performed in response to Corrective Action Request BSC-01-C-01 (Clark 2001, Krisha 2001) pursuant to Quality Assurance review findings of an adverse trend in model validation deficiency. The review findings in this report provide the following information which defines the extent of model validation deficiency and the corrective action needed: (1) AMRs that contain or support models are identified, and conversely, for each model the supporting documentation is identified. (2) The use for each model is determined based on whether the output is used directly for TSPA-SR, or for screening (exclusion) of features, events, and processes (FEPs), and the nature of the model output. (3) Two approaches are used to evaluate the extent to which the validation for each model is compliant with AP-3.10Q (Analyses and Models). The approaches differ in regard to whether model validation is achieved within individual AMRs as originally intended, or whether model validation could be readily achieved by incorporating information from other sources. (4) Recommendations are presented for changes to the AMRs, and additional model development activities or data collection, that will remedy model validation review findings, in support of licensing activities. The Model Validation Status Review emphasized those AMRs that support TSPA-SR (CRWMS M&O 2000bl and 2000bm). A series of workshops and teleconferences was held to discuss and integrate the review findings. The review encompassed 125 AMRs (Table 1) plus certain other supporting documents and data needed to assess model validity. The AMRs were grouped in 21 model areas representing the modeling of processes affecting the natural and engineered barriers, plus the TSPA model itself Description of the model areas is provided in Section 3, and the documents reviewed are described in Section 4. The responsible manager for the Model Validation Status Review was the Chief Science Officer (CSO) for Bechtel-SAIC Co. (BSC). The team lead was assigned by the CSO. A total of 32 technical specialists were engaged to evaluate model validation status in the 21 model areas. The technical specialists were generally independent of the work reviewed, meeting technical qualifications as discussed in Section 5.
computational modeling of biological systems
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Faculty. Faculty listing for "computational modeling of biological systems" ... Research Interests: computational modeling of biological systems.
Energy Science and Technology Software Center (OSTI)
003241MLTPL00 Content Model Guidelines https://github.com/usgin/usginspecs/wiki/Content-Model-Guidelines
ImSET 3.1: Impact of Sector Energy Technologies Model Description and User's Guide
Scott, Michael J.; Livingston, Olga V.; Balducci, Patrick J.; Roop, Joseph M.; Schultz, Robert W.
2009-05-22T23:59:59.000Z
This 3.1 version of the Impact of Sector Energy Technologies (ImSET) model represents the next generation of the previously-built ImSET model (ImSET 2.0) that was developed in 2005 to estimate the macroeconomic impacts of energy-efficient technology in buildings. In particular, a special-purpose version of the Benchmark National Input-Output (I-O) model was designed specifically to estimate the national employment and income effects of the deployment of Office of Energy Efficiency and Renewable Energy (EERE)–developed energy-saving technologies. In comparison with the previous versions of the model, this version features the use of the U.S. Bureau of Economic Analysis 2002 national input-output table and the central processing code has been moved from the FORTRAN legacy operating environment to a modern C++ code. ImSET is also easier to use than extant macroeconomic simulation models and incorporates information developed by each of the EERE offices as part of the requirements of the Government Performance and Results Act. While it does not include the ability to model certain dynamic features of markets for labor and other factors of production featured in the more complex models, for most purposes these excluded features are not critical. The analysis is credible as long as the assumption is made that relative prices in the economy would not be substantially affected by energy efficiency investments. In most cases, the expected scale of these investments is small enough that neither labor markets nor production cost relationships should seriously affect national prices as the investments are made. The exact timing of impacts on gross product, employment, and national wage income from energy efficiency investments is not well-enough understood that much special insight can be gained from the additional dynamic sophistication of a macroeconomic simulation model. Thus, we believe that this version of ImSET is a cost-effective solution to estimating the economic impacts of the development of energy-efficient technologies.
Chou, Danielle, 1981-
2004-01-01T23:59:59.000Z
The drive behind improved friction models has been better prediction and control of dynamic systems. The earliest model was of classical Coulomb friction; however, the discontinuity during force reversal of the Coulomb ...
Nonparametric Bayesian behavior modeling
Joseph, Joshua Mason
2008-01-01T23:59:59.000Z
As autonomous robots are increasingly used in complex, dynamic environments, it is crucial that the dynamic elements are modeled accurately. However, it is often difficult to generate good models due to either a lack of ...
Dingle, Brent Michael
2007-09-17T23:59:59.000Z
This dissertation presents a robust method of modeling objects and forces for computer animation. Within this method objects and forces are represented as particles. As in most modeling systems, the movement of objects is driven by physically based...
Fitzpatrick, B. A.; Gangadhar, K.
1992-01-01T23:59:59.000Z
The Hoechst Celanese Energy Model is used for budget preparation and reconciliation and for ongoing plant optimization. The model optimizes variable utilities production costs using a linear programming approach. Every operating area provides input...
Nonlinear models Nonlinear Regression
Penny, Will
Nonlinear models Will Penny Nonlinear Regression Nonlinear Regression Priors Energies Posterior, UCL, March 2013 #12;Nonlinear models Will Penny Nonlinear Regression Nonlinear Regression Priors Example Sampling Metropolis-Hasting Proposal density References Nonlinear Regression We consider
Improved steamflood analytical model
Chandra, Suandy
2006-10-30T23:59:59.000Z
.9 Oil production rate (SPE comparative model, area = 5.0 ac, injection rate = 1000 B/D)?????????????????????. 50 Fig. 4.10 Oil production rate (SPE comparative model, area = 5.0 ac, injection rate = 1200 B/D)???????..??????????????. 50 Fig. 4....11 Oil production rate (SPE comparative model, area = 10 ac, injection rate = 1000 B/D)???????..??????????????. 51 Fig. 4.12 Oil production rate (SPE comparative model, area = 10 ac, injection rate = 1200 B/D)???????..??????????????. 51 Fig. 4...
Community Ecology Processes, Models,
Kleyer, Michael
3 Modelling the dynamics of complex food webs 37 Ulrich Brose and Jennifer A. Dunne 3.1 Introduction
Introduction & Scope Model & Calibration
Kuhn, Matthew R.
Introduction & Scope Principles Model & Calibration Applications Bulk Evolution of Fabric.up.edu / kuhn / papers / EMD2007.pdf LATE #12;Introduction & Scope Principles Model & Calibration Applications Outline 1 Introduction & Scope 2 Principles 3 Model & Calibration 4 Applications Kuhn -- June 4, 2007 http
Crushed Salt Constitutive Model
Callahan, G.D.
1999-02-01T23:59:59.000Z
The constitutive model used to describe the deformation of crushed salt is presented in this report. Two mechanisms -- dislocation creep and grain boundary diffusional pressure solution -- are combined to form the basis for the constitutive model governing the deformation of crushed salt. The constitutive model is generalized to represent three-dimensional states of stress. Upon complete consolidation, the crushed-salt model reproduces the Multimechanism Deformation (M-D) model typically used for the Waste Isolation Pilot Plant (WIPP) host geological formation salt. New shear consolidation tests are combined with an existing database that includes hydrostatic consolidation and shear consolidation tests conducted on WIPP and southeastern New Mexico salt. Nonlinear least-squares model fitting to the database produced two sets of material parameter values for the model -- one for the shear consolidation tests and one for a combination of the shear and hydrostatic consolidation tests. Using the parameter values determined from the fitted database, the constitutive model is validated against constant strain-rate tests. Shaft seal problems are analyzed to demonstrate model-predicted consolidation of the shaft seal crushed-salt component. Based on the fitting statistics, the ability of the model to predict the test data, and the ability of the model to predict load paths and test data outside of the fitted database, the model appears to capture the creep consolidation behavior of crushed salt reasonably well.
Broader source: Energy.gov [DOE]
To facilitate conformance with its fire safety directives and the implementation of a comprehensive fire protection program, DOE has developed a number of "model" program documents. These include a comprehensive model fire protection program, model fire hazards analyses and assessments, fire protection system inspection and testing procedures, and related material.
14.452 Macroeconomic Theory II, Spring 2002
Blanchard, Olivier (Olivier J.)
The basic machines of macroeconomics. Ramsey, Solow, Samuelson-Diamond, RBCs, ISLM, Mundell-Fleming, Fischer-Taylor. How they work, what shortcuts they take, and how they can be used. Half-term subject. From the course ...
Asset liability management throughout macroeconomic cycle in financial institutions
Yan, Jingsi
2013-01-01T23:59:59.000Z
In this thesis, we are going to study asset liability management throughout the macroeconomic cycle in financial institutions. There are two important problems in financial institutions. The first is that asset and liability ...
Applications of Time Series in Finance and Macroeconomics
Ibarra Ramirez, Raul
2011-08-08T23:59:59.000Z
This dissertation contains three applications of time series in finance and macroeconomics. The first essay compares the cumulative returns for stocks and bonds at investment horizons from one to ten years by using a test ...
14.02 Principles of Macroeconomics, Fall 2002
Schaller, Huntley
This course will provide an overview of macroeconomic issues: the determination of output, employment, unemployment, interest rates, and inflation. Monetary and fiscal policies are discussed, as are the public debt and ...
14.02 Principles of Macroeconomics, Fall 2009
Guerrieri, Veronica
This course is designed to introduce classic macroeconomic issues such as growth, inflation, unemployment, interest rates, exchange rates, technological progress, and budget deficits. The course will provide a unified ...
14.452 Macroeconomic Theory II, Spring 2005
Blanchard, Olivier (Olivier J.)
The basic machines of macroeconomics. Ramsey, Solow, Samuelson-Diamond, RBCs, ISLM, Mundell-Fleming, Fischer-Taylor. How they work, what shortcuts they take, and how they can be used. Half-term subject. From the course ...
Essays on informational frictions in macroeconomics and finance
La'O, Jennifer
2010-01-01T23:59:59.000Z
This dissertation consists of four chapters analyzing the effects of heterogeneous and asymmetric information in macroeconomic and financial settings, with an emphasis on short-run fluctuations. Within these chapters, I ...
14.454 Macroeconomic Theory IV, Fall 2004
Caballero, Ricardo
This half-term course covers the macroeconomic implications of imperfections in labor markets, goods markets, credit and financial markets. The role of nominal rigidities is also an area of focus.
Three essays on empirical macroeconomics and financial markets
Chen, Lili
2012-08-21T23:59:59.000Z
This dissertation consists of three essays on empirical macroeconomics and financial markets in the United States. Although they can be considered as three independent essays, their findings are connected with each other ...
Sorin Vlad; Paul Pascu; Nicolae Morariu
2010-01-20T23:59:59.000Z
The paper discusses the main ideas of the chaos theory and presents mainly the importance of the nonlinearities in the mathematical models. Chaos and order are apparently two opposite terms. The fact that in chaos can be found a certain precise symmetry (Feigenbaum numbers) is even more surprising. As an illustration of the ubiquity of chaos, three models among many other existing models that have chaotic features are presented here: the nonlinear feedback profit model, one model for the simulation of the exchange rate and one application of the chaos theory in the capital markets.
Ritchie, L.T.; Alpert, D.J.; Burke, R.P.; Johnson, J.D.; Ostmeyer, R.M.; Aldrich, D.C.; Blond, R.M.
1984-03-01T23:59:59.000Z
The CRAC2 computer code is a revised version of CRAC (Calculation of Reactor Accident Consequences) which was developed for the Reactor Safety Study. This document provides an overview of the CRAC2 code and a description of each of the models used. Significant improvements incorporated into CRAC2 include an improved weather sequence sampling technique, a new evacuation model, and new output capabilities. In addition, refinements have been made to the atmospheric transport and deposition model. Details of the modeling differences between CRAC2 and CRAC are emphasized in the model descriptions.
RELATIONSHIPS FOR MODELLING WATER FLOW IN GEOTECHNICAL CENTRIFUGE MODELS [abstract
Goodings, Deborah
1984-01-01T23:59:59.000Z
relationships between centrifuge model and prototype waterADVANCES IN GEOTECHNICAL CENTRIFUGE MODELING A symposium onAdvances in Geotechnical Centrifuge Modeling was held on
Essays in International Macroeconomics and Forecasting
Bejarano Rojas, Jesus Antonio
2012-10-19T23:59:59.000Z
provides both conditional and unconditional predictive ability evaluations of the aluminum futures contracts prices, by using five different econometric models, in forecasting the aluminum spot price monthly return 3, 15, and 27-months ahead for the sample...
V. Chipman; J. Case
2002-12-20T23:59:59.000Z
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To asses the impacts of moisture on the ventilation efficiency.
RHP: HOW CLIMATE MODELS GAIN AND EXERCISE How Climate Models Gain and Exercise Authority
Hulme, Mike
-dimensional models, intermediate complexity models, general circulation models, and Earth system models. 2 www
Sandia National Laboratories: combustion modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
modeling Direct Measurement of Key Molecule Will Increase Accuracy of Combustion Models On March 3, 2015, in Computational Modeling & Simulation, CRF, Energy, Facilities, News,...
Sandia National Laboratories: Systems Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AnalysisSystems Modeling Systems Modeling Technical Expertise Projects Demos Partners Biographies Publications Technical Expertise Computer Assisted (CA) System dynamics modeling...
Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.
2001-04-13T23:59:59.000Z
The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.
Carcinogenesis models: An overview
Moolgavkar, S.H. [Fred Hutchinson Cancer Research Center, Seattle, WA (United States)
1992-12-31T23:59:59.000Z
Biologically based mathematical models of carcinogenesis are not only an essential part of a rational approach to quantitative cancer risk assessment but also raise fundamental questions about the nature of the events leading to malignancy. In this paper two such models are reviewed. The first is the multistage model proposed by Armitage and Doll in the 1950s; most of the paper is devoted to a discussion of the two-mutation model proposed by the author and his colleagues. This model is a generalization of the idea of recessive oncogenesis proposed by Knudson and has been shown to be consistent with a large body of epidemiologic and experimental data. The usefulness of the model is illustrated by analyzing a large experimental data set in which rats exposed to radon developed malignant lung tumors.
HOMER® Micropower Optimization Model
Lilienthal, P.
2005-01-01T23:59:59.000Z
NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.
Espinosa, Patricia Elizabeth
2012-01-01T23:59:59.000Z
Foundation Program in India WHO, World Health OrganizationA Model for IndiaDescription India is a conservative country. Talking about
Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.
2008-02-01T23:59:59.000Z
This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project On June 4, 2014, in Capabilities, Center for Infrastructure Research and Innovation (CIRI),...
Lincoln, Don
2014-08-12T23:59:59.000Z
Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.
Optimizing Preventive Maintenance Models
model is known which predicts the frequency of system failure as a function of its age;. and it is further ... of maintenance, repair and replacement. The final part ...
Introduction Improved Model Alternative Statistical Model
Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i Non-linear "Non-linear Square Regression Linear "Linear" is for the parameter(s) e.g. yi = 0 +1xi +i #12;Introduction Improved Model Recall of Ordinary Least-Square Regression Least Square Regression Linear "Linear
Model selection in compositional spaces
Grosse, Roger Baker
2014-01-01T23:59:59.000Z
We often build complex probabilistic models by composing simpler models-using one model to generate parameters or latent variables for another model. This allows us to express complex distributions over the observed data ...
Computer aided nuclear reactor modeling
Warraich, Khalid Sarwar
1995-01-01T23:59:59.000Z
at a thermal hydraulic analysis program, CENTAR, and present the problems encountered in the tra ditional modeling process. These problems are the difficulty the modeler faces to cope with the model size, complexity, rigidity, correctness, long modeling...
Epidemic modeling techniques for smallpox
McLean, Cory Y. (Cory Yuen Fu)
2004-01-01T23:59:59.000Z
Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively ...
Composite Load Model Evaluation
Lu, Ning; Qiao, Hong (Amy)
2007-09-30T23:59:59.000Z
The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: • the model initializes properly, • all the parameter settings are functioning, and • the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.
Jacob J. Jacobson; Gretchen Matthern
2007-04-01T23:59:59.000Z
System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.
Abadi, Martín
of hardware, software, and set-up information on which the security of the system depends. Also: · The part the limitations of models. Binary-level exploits despite "secure" languages. Power analysis on "secure. · Used by many people, including protocol designers. · Lacked a clear link with operational models
Improved steamflood analytical model
Chandra, Suandy
2006-10-30T23:59:59.000Z
the results against those based on the Jeff Jones model. Three reservoir types were simulated using 3-D Cartesian black oil models: Hamaca (9Ã?Â°API), San Ardo (12Ã?Â°API) and that based on the SPE fourth comparative solution project (14Ã?Â°API). In the first...
Dingle, Brent Michael
2007-09-17T23:59:59.000Z
and the lifetime of each particle is infinite. 2.1.2 Growing Patterns Particle systems can also model static or instantaneous things. They have been used to model plants and fracture patterns [21, 22] as well as lightning, frost, ice or snowflakes [23... mixes with dirt particles to form mud particles................................................... 121 61 Mud drying and cracking............................................................................................... 122 62 Ice melting...
Petroleum Data, Natural Gas Data, Coal Data, Macroeconomic Data, Petroleum Import Data
None
2009-01-18T23:59:59.000Z
Supplemental tables to the Annual Energy Outlook (AEO) 2006 for petroleum, natural gas, coal, macroeconomic, and import data
Jones, Katherine A.; Finley, Patrick D.; Moore, Thomas W.; Nozick, Linda Karen; Martin, Nathaniel; Bandlow, Alisa; Detry, Richard Joseph; Evans, Leland B.; Berger, Taylor Eugen
2013-09-01T23:59:59.000Z
Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.
J.M. Scaglione
2003-03-12T23:59:59.000Z
The purpose of the ''Criticality Model Report'' is to validate the MCNP (CRWMS M&O 1998h) code's ability to accurately predict the effective neutron multiplication factor (k{sub eff}) for a range of conditions spanned by various critical configurations representative of the potential configurations commercial reactor assemblies stored in a waste package may take. Results of this work are an indication of the accuracy of MCNP for calculating eigenvalues, which will be used as input for criticality analyses for spent nuclear fuel (SNF) storage at the proposed Monitored Geologic Repository. The scope of this report is to document the development and validation of the criticality model. The scope of the criticality model is only applicable to commercial pressurized water reactor fuel. Valid ranges are established as part of the validation of the criticality model. This model activity follows the description in BSC (2002a).
Hughes, T.J.; Fastook, J.L. [Univ. of Maine, Orono, ME (United States). Institute for Quaternary Studies
1994-05-01T23:59:59.000Z
The University of Maine conducted this study for Pacific Northwest Laboratory (PNL) as part of a global climate modeling task for site characterization of the potential nuclear waste respository site at Yucca Mountain, NV. The purpose of the study was to develop a global ice sheet dynamics model that will forecast the three-dimensional configuration of global ice sheets for specific climate change scenarios. The objective of the third (final) year of the work was to produce ice sheet data for glaciation scenarios covering the next 100,000 years. This was accomplished using both the map-plane and flowband solutions of our time-dependent, finite-element gridpoint model. The theory and equations used to develop the ice sheet models are presented. Three future scenarios were simulated by the model and results are discussed.
DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]
Newville, Matthew
The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/
SPAR Model Structural Efficiencies
John Schroeder; Dan Henry
2013-04-01T23:59:59.000Z
The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRC’s Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: • Development of a standard methodology and implementation of support system initiating events • Treatment of loss of offsite power • Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are • SPAR model transparency • Common cause failure modeling deficiencies and approaches • Ac and dc modeling deficiencies and approaches • Instrumentation and control system modeling deficiencies and approaches
Absorption in dielectric models
Churchill, R J
2015-01-01T23:59:59.000Z
We develop a classical microscopic model of a dielectric. The model features nonlinear interaction terms between polarizable dipoles and lattice vibrations. The lattice vibrations are found to act as a pseudo-reservoir, giving broadband absorption of electromagnetic radiation without the addition of damping terms in the dynamics. The effective permittivity is calculated using a perturbative iteration method and is found to have the form associated with real dielectrics. Spatial dispersion is naturally included in the model and we also calculate the wavevector dependence of the permittivity.
Modeling EERE Deployment Programs
Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.
2007-11-08T23:59:59.000Z
The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, “Modeling EERE Deployment Programs,” sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy’s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.
Modeling Compressed Turbulence
Israel, Daniel M. [Los Alamos National Laboratory
2012-07-13T23:59:59.000Z
From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.
Modeling regional power transfers
Kavicky, J.A.; Veselka, T.D.
1994-03-01T23:59:59.000Z
The Spot Market Network (SMN) model was used to estimate spot market transactions and prices between various North American Electric Reliability Council (NERC) regions for summer on-peak situations. A preliminary analysis of new or proposed additions to the transmission network was performed. The effects of alternative exempt wholesale generator (EWG) options on spot market transactions and the transmission system are also studied. This paper presents the SMN regional modelling approach and summarizes simulation results. Although the paper focuses on a regional network representation, a discussion of how the SMN model was used to represent a detailed utility-level network is also presented.
Shumway, R.W.
1987-10-01T23:59:59.000Z
The ATHENA computer program has many features that make it desirable to use as a space reactor evaluation tool. One of the missing features was a surface-to-surface thermal radiation model. A model was developed that allows any of the regular ATHENA heat slabs to radiate to any other heat slab. The view factors and surface emissivities must be specified by the user. To verify that the model was properly accounting for radiant energy transfer, two different types of test calculations were performed. Both calculations have excellent results. The updates have been used on both the INEL CDC-176 and the Livermore Cray. 7 refs., 2 figs., 6 tabs.
Albert, Réka
susceptibility to disease is homogenous across the network degree distribution is roughly symmetric much the network highly skewed distribution of contacts (follows a discretized Weibull distribution) most nodesIntroduction ERGM Model Fitting Simulation References Using social network characteristics
Sandia National Laboratories: Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
Morphological modeling of neurons
Mulchandani, Kishore
1995-01-01T23:59:59.000Z
generation of dendritic and axonal trees are defined. Experiments with various stochastic L-system models for pyramidal, motoneuron, and Purkinje cells are reported which generate synthetic neurons with promising proximity to neurons in the neurobiology...
Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel
2012-10-31T23:59:59.000Z
Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.
Mathematical Modeling Arnold Neumaier
Neumaier, Arnold
units Chemistry #15; Chemical reaction dynamics #15; Molecular modeling #15; Electronic structure Biology #15; Protein folding #15; Humane genome project 2 #12; #15; Population dynamics #15; Morphogenesis calculations Computer science #15; Image processing #15; Realistic computer graphics (ray tracing
Taylor, Paul
The tilt intonation model facilitates automatic analysis and synthesis of intonation. The analysis algorithm detects intonational events in F0 contours and parameterises them in terms of the continuously varying parameters. ...
Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel
2014-06-26T23:59:59.000Z
Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.
Mathematical Modeling Arnold Neumaier
Neumaier, Arnold
· Blood circulation models 4 #12;Meteorology · Weather prediction · Climate prediction (global warming (genetic variability) Chemical engineering · Chemical equilibrium · Planning of production units Chemistry recognition · Face recognition Economics · Labor data analysis Electrical engineering · Stability of electric
Mandal, Esan
2004-09-30T23:59:59.000Z
The goal of this thesis is to introduce new methods to create intricate perforated shapes in a computing environment. Modeling shapes with a large number of holes and handles, while requiring minimal human interaction, is ...
Zubairy, Raheel
2014-04-18T23:59:59.000Z
a mechanistic approach to determine the transition of the flow as the gas migrates to surface. The model is implemented in a simulation program to present the behavior of these parameters. The simulator initially creates a profile of the mud...
Broader source: Energy.gov [DOE]
In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model wind ordinance to provide guidance for...
Modeling Diverse Communities of
Follows, Mick
, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139. Such models are suited to considering ecological questions, such as the regulation of patterns of biodiversity). Microbial community structure, in turn, regulates the environment and biogeochemical pathways including
Statistical Language Modelling
Gotoh, Yoshihiko; Renals, Steve
2003-01-01T23:59:59.000Z
the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...
Bagger, J.A.
1984-09-01T23:59:59.000Z
We begin to construct the most general supersymmetric Lagrangians in one, two and four dimensions. We find that the matter couplings have a natural interpretation in the language of the nonlinear sigma model.
Theory Modeling and Simulation
Shlachter, Jack [Los Alamos National Laboratory
2012-08-23T23:59:59.000Z
Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.
Generic CSP Performance Model for NREL's System Advisor Model: Preprint
Wagner, M. J.; Zhu, G.
2011-08-01T23:59:59.000Z
The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.
Quantum Semiconductor Modeling Ansgar Jungel
Jüngel, Ansgar
Quantum Semiconductor Modeling Ansgar J¨ungel Vienna University of Technology, Austria www.jungel.at.vu Ansgar J¨ungel (TU Wien) Quantum Semiconductor Modeling www.jungel.at.vu 1 / 154 #12;Contents 1 Introduction 2 Semiconductor modeling 3 Microscopic quantum models Density matrices Schr¨odinger models Wigner
Modeling Science David M. Blei
Blei, David M.
Modeling Science David M. Blei Department of Computer Science Princeton University April 17, 2008 Joint work with John Lafferty (CMU) D. Blei Modeling Science 1 / 53 #12;Modeling Science Science, August called topic models. · Use this structure for browsing, search, and similarity. D. Blei Modeling Science
book review: Species distribution models for species distribution modellers
Dormann, Carsten F
2012-01-01T23:59:59.000Z
Mapping species distributions: spa? tial inference and news and update book review Species distribution models for species distribution modellers Ecological niches and
Conceptual Geologic Model and Native State Model of the Roosevelt...
Springs Hydrothermal System Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Conceptual Geologic Model and Native State Model of the...
Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks
Garousi, Vahid
Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks Apostolos Serletisy in macroeconometrics and ...nancial econometrics to investigate the e¤ects of oil price shocks and uncertainty about the price of oil on the level of economic activity. JEL classi...cation: G31, E32, C32. Keywords: Oil price
Data Modeling and Theory Construction
Jan de Leeuw
2011-01-01T23:59:59.000Z
MODELING AND THEORY CONSTRUCTION F. Suppe. The Structure ofMODELING AND THEORY CONSTRUCTION JAN DE LEEUW This paper wasMODELING AND THEORY CONSTRUCTION F????? 1. The Scientist
Sandia Energy - Global Climate Models
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Global Climate Models Home Climate & Earth Systems Climate Measurement & Modeling Global Climate Models Global Climate Modelscwdd2015-04-29T16:07:18+00:00 GeomechanicalFigure1...
Phylogenetic Models: Algebra and Evolution
Allman, Elizabeth S.
Phylogenetic Models: Algebra and Evolution Elizabeth S. Allman Dept. of Mathematics and Statistics evolutionary tree 2. sequence evolution probabilistic models on trees 3. phylogenetic ideals and varieties history. IMA -- Phylogenetic Models: Algebra and Evolution Slide 1 #12;For phylogenetic inference
Macroeconomic Study of Construction Firm's Profitability Using Cluster Analysis
Arora, Parth
2012-10-19T23:59:59.000Z
impetus to developing Model 2. Model 1 clearly showed that labor productivity was the most important variable in determining gross margin. Model 2 was developed to predict gross margin as a function of single most important factor of labor productivity...
From Logical to Distributional Models
Anne Preller
2014-12-30T23:59:59.000Z
The paper relates two variants of semantic models for natural language, logical functional models and compositional distributional vector space models, by transferring the logic and reasoning from the logical to the distributional models. The geometrical operations of quantum logic are reformulated as algebraic operations on vectors. A map from functional models to vector space models makes it possible to compare the meaning of sentences word by word.
Advanced Chemistry Basins Model
Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun
2003-02-13T23:59:59.000Z
The objective of this project is to: (1) Develop a database of additional and better maturity indicators for paleo-heat flow calibration; (2) Develop maturation models capable of predicting the chemical composition of hydrocarbons produced by a specific kerogen as a function of maturity, heating rate, etc.; assemble a compositional kinetic database of representative kerogens; (3) Develop a 4 phase equation of state-flash model that can define the physical properties (viscosity, density, etc.) of the products of kerogen maturation, and phase transitions that occur along secondary migration pathways; (4) Build a conventional basin model and incorporate new maturity indicators and data bases in a user-friendly way; (5) Develop an algorithm which combines the volume change and viscosities of the compositional maturation model to predict the chemistry of the hydrocarbons that will be expelled from the kerogen to the secondary migration pathways; (6) Develop an algorithm that predicts the flow of hydrocarbons along secondary migration pathways, accounts for mixing of miscible hydrocarbon components along the pathway, and calculates the phase fractionation that will occur as the hydrocarbons move upward down the geothermal and fluid pressure gradients in the basin; and (7) Integrate the above components into a functional model implemented on a PC or low cost workstation.
Shaon Sahoo; Soumya Kanti Ganguly
2015-02-01T23:59:59.000Z
Contrary to the actual nonlinear Glauber model (NLGM), the linear Glauber model (LGM) is exactly solvable, although the detailed balance condition is not generally satisfied. This motivates us to address the issue of writing the transition rate ($w_j$) in a best possible linear form such that the mean squared error in satisfying the detailed balance condition is least. The advantage of this work is that, by studying the LGM analytically, we will be able to anticipate how the kinetic properties of an arbitrary Ising system depend on the temperature and the coupling constants. The analytical expressions for the optimal values of the parameters involved in the linear $w_j$ are obtained using a simple Moore-Penrose pseudoinverse matrix. This approach is quite general, in principle applicable to any system and can reproduce the exact results for one dimensional Ising system. In the continuum limit, we get a linear time-dependent Ginzburg-Landau (TDGL) equation from the Glauber's microscopic model of non-conservative dynamics. We analyze the critical and dynamic properties of the model, and show that most of the important results obtained in different studies can be reproduced by our new mathematical approach. We will also show in this paper that the effect of magnetic field can easily be studied within our approach; in particular, we show that the inverse of relaxation time changes quadratically with (weak) magnetic field and that the fluctuation-dissipation theorem is valid for our model.
Simple ocean carbon cycle models
Caldeira, K. [Lawrence Livermore National Lab., CA (United States); Hoffert, M.I. [New York Univ., NY (United States). Dept. of Earth System Sciences; Siegenthaler, U. [Bern Univ. (Switzerland). Inst. fuer Physik
1994-02-01T23:59:59.000Z
Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
from improved climate models to performance models for underground waste storage to 3D printing and digital rock physics. Marianne Walck (Director ... NASA Award for Marginal...
Testing Model Nesting and Equivalence
Peter M. Bentler; Albert Satorra
2011-01-01T23:59:59.000Z
sense of observational equivalence, implying that theirModel Nesting and Equivalence* Peter M. Bentler UniversityModel Nesting and Equivalence Using existing technology, it
Testing Model Nesting and Equivalence
Bentler, Peter M.; Satorra, Albert
2008-01-01T23:59:59.000Z
sense of observational equivalence, implying that theirModel Nesting and Equivalence* Peter M. Bentler UniversityModel Nesting and Equivalence Using existing technology, it
14.451 Macroeconomic Theory I, Spring 2003
Angeletos, Marios
The first half of the semester is an introduction to the techniques and the applications of dynamic general equilibrium models, with particular emphasis on models of economic growth.
Model of Antiferromagnetic Superconductivity
Geoffrey L. Sewell
2015-09-28T23:59:59.000Z
We present a simple model that supports superconductive and antiferromagnetic ordering. The model consists of a system of electrons on a simple cubic lattice that move by tunnel effect and interact via antiferromagnetic Ising spin couplings and short range repulsions: these include infinitely strong Hubbard forces that prevent double occupancy of any lattice site. Hence, under the filling condition of one electron per site and at sufficiently low temperature, the system is an antiferromagnetic Mott insulator. However, when holes are created by suitable doping, they are mobile charge carriers. We show that, at low concentration, their interactions induced by the above interelectronic ones lead to Schafroth pairing. Hence, under certain plausible but unproved assumptions, the model exhibits the off-diagonal long range order that characterises superconductivity, while retaining the antiferromagnetic ordering.
Burinskii, Alexander
2015-01-01T23:59:59.000Z
As is known, the gravitational and electromagnetic (EM) field of the Dirac electron is described by an over-extremal Kerr-Newman (KN) black hole (BH) solution which has the naked singular ring and two-sheeted topology. This space is regulated by the formation of a regular source based on the Higgs mechanism of broken symmetry. This source shares much in common with the known MIT- and SLAC-bag models, but has the important advantage, of being in accordance with gravitational and electromagnetic field of the external KN solution. The KN bag model is flexible. At rotations, it takes the shape of a thin disk, and similar to other bag models, under deformations it creates a string-like structure which is positioned along the sharp border of the disk.
Alexander Burinskii
2015-04-30T23:59:59.000Z
As is known, the gravitational and electromagnetic (EM) field of the Dirac electron is described by an over-extremal Kerr-Newman (KN) black hole (BH) solution which has the naked singular ring and two-sheeted topology. This space is regulated by the formation of a regular source based on the Higgs mechanism of broken symmetry. This source shares much in common with the known MIT- and SLAC-bag models, but has the important advantage, of being in accordance with gravitational and electromagnetic field of the external KN solution. The KN bag model is flexible. At rotations, it takes the shape of a thin disk, and similar to other bag models, under deformations it creates a string-like structure which is positioned along the sharp border of the disk.
Ocean General Circulation Models
Yoon, Jin-Ho; Ma, Po-Lun
2012-09-30T23:59:59.000Z
1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earth’s climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.
Parametric Explosion Spectral Model
Ford, S R; Walter, W R
2012-01-19T23:59:59.000Z
Small underground nuclear explosions need to be confidently detected, identified, and characterized in regions of the world where they have never before occurred. We develop a parametric model of the nuclear explosion seismic source spectrum derived from regional phases that is compatible with earthquake-based geometrical spreading and attenuation. Earthquake spectra are fit with a generalized version of the Brune spectrum, which is a three-parameter model that describes the long-period level, corner-frequency, and spectral slope at high-frequencies. Explosion spectra can be fit with similar spectral models whose parameters are then correlated with near-source geology and containment conditions. We observe a correlation of high gas-porosity (low-strength) with increased spectral slope. The relationship between the parametric equations and the geologic and containment conditions will assist in our physical understanding of the nuclear explosion source.
Luís Tarrataca; Andreas Wichert
2015-02-06T23:59:59.000Z
The production system is a theoretical model of computation relevant to the artificial intelligence field allowing for problem solving procedures such as hierarchical tree search. In this work we explore some of the connections between artificial intelligence and quantum computation by presenting a model for a quantum production system. Our approach focuses on initially developing a model for a reversible production system which is a simple mapping of Bennett's reversible Turing machine. We then expand on this result in order to accommodate for the requirements of quantum computation. We present the details of how our proposition can be used alongside Grover's algorithm in order to yield a speedup comparatively to its classical counterpart. We discuss the requirements associated with such a speedup and how it compares against a similar quantum hierarchical search approach.
Transport Model with Quasipions
Xiong, L.; Ko, Che Ming; Koch, V.
1993-01-01T23:59:59.000Z
, the transport model that takes into account both nucleon-nucleon collisions and the nuclear mean-field po- tential (normally called the Ulasov-Uehling-Uhlenbeck or Boltzmann-Uehling-Uhlenbeck model [3]) have been ex- tended to include the pion degree... equation, the pion collision term is obtained from the imaginary part of its self-energy. In nuclear medium, the pion self-energy is modified by the strong p-wave pion- nucleon interaction. This not only afFects the production and absorption of the pion...
Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology
2011-01-01T23:59:59.000Z
This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.
3.0 Exporting Models Save model as OBJ file
Gordon, Scott
3.0 Exporting Models Save model as OBJ file: o Make sure that the model, and the UV are saved. Save model as an OgreXML file: o Install the blender2ogre exporter Visit https directory (remember that single-click selects a folder) o Type a name for the saved file in the box just
ORQA: Modeling Energy and Quality of Service within AUTOSAR Models
Boyer, Edmond
Systems]: Consumer Products--electric vehicle General Terms Design, Management Keywords Autosar, model the vehicle autonomy. A vehicle management is achieved by the em- bedded systems, modeled following-oriented Quality of Ser- vice models. This paper presents Orqa, a framework to model and manage the electric
Computing Biological Model Parameters by Parallel Statistical Model Checking
Tronci, Enrico
of Treatments for Infertility Related Endocrinological Diseases, 600773). #12;patient-specific model parameters
Model Structure Analysis for Model-based Operation of
Van den Hof, Paul
conducted in the framework of the "Integrated System Approach Petroleum Production" (ISAPP) programmeModel Structure Analysis for Model-based Operation of Petroleum Reservoirs #12;#12;MODEL STRUCTURE ANALYSIS FOR MODEL-BASED OPERATION OF PETROLEUM RESERVOIRS PROEFSCHRIFT ter verkrijging van de graad van
Conceptual Modelling of Database Applications Using an Extended ER Model
Gogolla, Martin - Fachbereich 3
Conceptual Modelling of Database Applications Using an Extended ER Model Data and Knowledge is divided into the modelling of admissible database state evolutions by means of temporal integrity184/1) #12; H.2.1 [Database Management] Logical Design -- Data models; Schema and subschema. H.2
Some Remarks on the Model Theory of Epistemic Plausibility Models
Demey, Lorenz
2010-01-01T23:59:59.000Z
Classical logics of knowledge and belief are usually interpreted on Kripke models, for which a mathematically well-developed model theory is available. However, such models are inadequate to capture dynamic phenomena. Therefore, epistemic plausibility models have been introduced. Because these are much richer structures than Kripke models, they do not straightforwardly inherit the model-theoretical results of modal logic. Therefore, while epistemic plausibility structures are well-suited for modeling purposes, an extensive investigation of their model theory has been lacking so far. The aim of the present paper is to fill exactly this gap, by initiating a systematic exploration of the model theory of epistemic plausibility models. Like in 'ordinary' modal logic, the focus will be on the notion of bisimulation. We define various notions of bisimulations (parametrized by a language L) and show that L-bisimilarity implies L-equivalence. We prove a Hennesy-Milner type result, and also two undefinability results. ...
Shekhar, Shashi
``chawlas'' 2001/2/2 page 1 i i i i i i i i Modeling Spatial Dependencies for Mining Geospatial data sets. These organizations are spread across many domains including ecology and envi ronment mining algorithms[1] often make assumptions (e.g. independent, identical distributions) which violate
Unknown
2011-08-17T23:59:59.000Z
for their particular dataset. The remaining chapters list variables by file and discuss methods used to measure or calculate values for the input parameters. SWAT is a public domain model jointly developed by USDA Agricultural Research Service (USDA-ARS) and Texas A...
C. Tannous; A. Fessant
2001-01-07T23:59:59.000Z
Combustion reaction kinetics models are used for the description of a special class of bursty Financial Time Series. The small number of parameters they depend upon enable financial analysts to predict the time as well as the magnitude of the jump of the value of the portfolio. Several Financial Time Series are analysed within this framework and applications are given.
Identification of Physical Models
), on testing of building components related to passive solar energy conservation, tested under outdoor climate differential equations. Methods for estimation of param eters of these continuous time models based estimation of the parameters of nonlinear stochastic differential equations are described and the implemented
Mohammad Masoud Hassani; Falk K. Wittel; Stefan Hering; Hans J. Herrmann
2014-10-15T23:59:59.000Z
Wood as the most important natural and renewable building material plays an important role in the construction sector. Nevertheless, its hygroscopic character basically affects all related mechanical properties leading to degradation of material stiffness and strength over the service life. Accordingly, to attain reliable design of the timber structures, the influence of moisture evolution and the role of time- and moisture-dependent behaviors have to be taken into account. For this purpose, in the current study a 3D orthotropic elasto-plastic, visco-elastic, mechano-sorptive constitutive model for wood, with all material constants being defined as a function of moisture content, is presented. The corresponding numerical integration approach, with additive decomposition of the total strain is developed and implemented within the framework of the finite element method (FEM). Moreover to preserve a quadratic rate of asymptotic convergence the consistent tangent operator for the whole model is derived. Functionality and capability of the presented material model are evaluated by performing several numerical verification simulations of wood components under different combinations of mechanical loading and moisture variation. Additionally, the flexibility and universality of the introduced model to predict the mechanical behavior of different species are demonstrated by the analysis of a hybrid wood element. Furthermore, the proposed numerical approach is validated by comparisons of computational evaluations with experimental results.
MODEL CONSERVATION STANDARD INTRODUCTION
financial assistance from the Bonneville Power Administration and the region's utilities. In addition of the plan by the Administrator, are directly attributable to such measure or resource. [Northwest Power ActMODEL CONSERVATION STANDARD INTRODUCTION As directed by the Northwest Power Act, the Council has
DYNAMIC MODELING FUEL PROCESSORS
Mease, Kenneth D.
turbine module (compressor and turbine sub-modules) Catalytic oxidizer Combustor module Heat exchanger, PEM, Gas Turbine General Model Assumptions · 1D process flow · Well-stirred within nodal volume · Slow reactants #12;Steam Reformation Occurs in Reformer and Fuel Cells Methane reformation reaction Water Gas
Hacker, Randi
2013-02-20T23:59:59.000Z
clothes in a photo shoot cancelled. Grandpa Liu tried on a jacket and liked its style. So his granddaughter took photos of him in it and other items of clothing, posted them and China's next top model was created. Filial pietists accuse Ting of elder...
uncorrectedproof Biomech Model Mechanobiol
Shreiber, David I.
data from8 indentation, using microspheres as indenters, of synthetic9 rubber-like gels, native mouse the synthetic gels. The Hertz model proved to be acceptable14 for the synthetic gels at small deformations at small strains and rubber elasticity theory at both small 28 and large strains. For polymer gels
Optimization Online - Optimization Software and Modeling Systems ...
Optimization Software and Modeling Systems Submissions - 2009. March 2009. Modeling Languages and Systems A Structure-Conveying Modelling Language ...
Computer aided nuclear reactor modeling
Warraich, Khalid Sarwar
1995-01-01T23:59:59.000Z
after model has been sent to CENTAR). We then present an interactive, graphical, icon based modeling program, Alpha, that lets the user "draw" the model on screen and translates it into a syn tactically correct CENTAR input model which is also free...
Improving the Models, SACOG Perspectives
California at Davis, University of
forecasting, Vehicle emissions, Health outcomes, RHNA allocations. #12;What is the state of the models? · Tour-based models implemented in larger MPOs are a significant improvement. · Trip-based models still used in other of models and data in the SCS process is not sufficient. · Transportation has early costs and later benefits
Interactive modeler for cloth draping
Thumrugoti, Umakanth
1994-01-01T23:59:59.000Z
Cloth modeling is a challenging field in computer graphics, being a typical example of a soft-object. One of the approaches toward modeling cloth is a geometric approach. This thesis develops a conceptual model for modeling cloth drape using a...
Lee, S.
2011-08-30T23:59:59.000Z
The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady state analyses with a two-equation turbulence model were performed with the FLUENT{trademark} codes. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet. The modeling results show that when the two-stage agitator consisting of a 45{sup o} pitched propeller and radial flat-plate blades is run at 140 rpm speed with 28 in diameter, the agitator provides an adequate stirring of the feed materials for a wide range of yield stresses (1 to 21 Pa) and the vortex system is shed into the remote region of the tank boundary by the blade passage in an efficient way. The results of this modeling study were used to develop the design guidelines for the agitator stirring and dispersion of the Saltstone feed materials in a hopper tank.
Scalar potential model progress
J. C. Hodge
2007-04-04T23:59:59.000Z
Because observations of galaxies and clusters have been found inconsistent with General Relativity (GR), the focus of effort in developing a Scalar Potential Model (SPM) has been on the examination of galaxies and clusters. The SPM has been found to be consistent with cluster cellular structure, the flow of IGM from spiral galaxies to elliptical galaxies, intergalactic redshift without an expanding universe, discrete redshift, rotation curve (RC) data without dark matter, asymmetric RCs, galaxy central mass, galaxy central velocity dispersion, and the Pioneer Anomaly. In addition, the SPM suggests a model of past expansion, past contraction, and current expansion of the universe. GR corresponds to the SPM in the limit in which the effect of the Sources and Sinks approximate a flat scalar potential field such as between clusters and on the solar system scale, which is small relative to the distance to a Source.
Jarmo Mäkelä
2014-08-26T23:59:59.000Z
We consider a novel model of cosmic inflation. In our model one does not need any specific matter field to drive inflation, but inflation stems from the microscopic, Planck scale structure of spacetime, thus being of quantum gravitational origin. At a certain temperature spacetime performs a phase transition, where the cosmological constant drops from a huge, Planck scale value, which is about $10^{87}s^{-2}$ to its present, pretty small value $10^{-35}s^{-2}$. When the cosmological constant is large, the universe goes through a period of very rapid expansion which, however, comes to an abrupt end after the phase transition has been completed. Assuming that the cosmological constant depends on the age of the universe in an appropriate manner during the phase transition one may recover the predictions of the conventional inflationary scenario.
Lee, S.
2011-05-05T23:59:59.000Z
The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and elevation of transfer pump for minimum sludge disturbance. (2) An empirical equation for a tank with no cooling coils agrees reasonably with the current modeling results for the dual jet. (3) From the sensitivity study of the cooling coils, it was found that the tank mixing time for the coiled tank was about two times longer than that of the tank fluid with no coils under the 1/10th scale, while the coiled tank required only 50% longer than the one without coils under the full scale Tank 50H. In addition, the time difference is reduced when the pumping U{sub o}d{sub o} value is increased for a given tank. (4) The blending time for T-shape dual jet pump is about 20% longer than that of 15{sup o} upward V-shape pump under the 1/10th pilot-scale tank, while the time difference between the two pumps is about 12% for the full-scale Tank 50H. These results are consistent with the literature information. (5) A transfer pump with a solid-plate suction screen operating at 130 gpm can be located 9.5 inches above settled sludge for 2 in screen height in a 85 ft waste tank without disturbing any sludge. Detailed results are summarized in Table 13. Final pump performance calculations were made by using the established CW pump design, and operating conditions to satisfy the two requirements of minimum sludge disturbance, and adequate blending of tank contents. The final calculation results show that the blending times for the coiled and uncoiled tanks coupled with the CW pump design are 159 and 83 minutes, respectively. All the results are provided in Table 16.
Mesoscale ocean dynamics modeling
mHolm, D.; Alber, M.; Bayly, B.; Camassa, R.; Choi, W.; Cockburn, B.; Jones, D.; Lifschitz, A.; Margolin, L.; Marsden, L.; Nadiga, B.; Poje, A.; Smolarkiewicz, P. [Los Alamos National Lab., NM (United States); Levermore, D. [Arizona Univ., Tucson, AZ (United States)
1996-05-01T23:59:59.000Z
This is the final report of a three-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). The ocean is a very complex nonlinear system that exhibits turbulence on essentially all scales, multiple equilibria, and significant intrinsic variability. Modeling the ocean`s dynamics at mesoscales is of fundamental importance for long-time-scale climate predictions. A major goal of this project has been to coordinate, strengthen, and focus the efforts of applied mathematicians, computer scientists, computational physicists and engineers (at LANL and a consortium of Universities) in a joint effort addressing the issues in mesoscale ocean dynamics. The project combines expertise in the core competencies of high performance computing and theory of complex systems in a new way that has great potential for improving ocean models now running on the Connection Machines CM-200 and CM-5 and on the Cray T3D.
Santopinto, E
2015-01-01T23:59:59.000Z
In this contribution, we briefly discuss the results for charmonium and bottomonium spectra with self-energy corrections in the unquenched quark model, due to the coupling to the meson-meson continuum. The UQM formalism can be extended to include also the effects of hybrid mesons, i.e. hybrid loops. Finally, we discuss the results of a calculation of hybrid mesons spectrum in Coulomb Gauge QCD.
E. Santopinto; J. Ferretti
2015-03-10T23:59:59.000Z
In this contribution, we briefly discuss the results for charmonium and bottomonium spectra with self-energy corrections in the unquenched quark model, due to the coupling to the meson-meson continuum. The UQM formalism can be extended to include also the effects of hybrid mesons, i.e. hybrid loops. Finally, we discuss the results of a calculation of hybrid mesons spectrum in Coulomb Gauge QCD.
Fitzpatrick, B. A.; Gangadhar, K.
operating areas or "units" in HOCEM, though some of the units are as simple as cooling towers and others as complex as production areas. A VAX-based spreadsheet software program, Graphic Outlook, from stone Mountain Computing was selected as the model... heuristic guidelines. Finally, HOCEM optimizes on the actual costs of operation. STANDARDS DEVELOPMENT As was mentioned above, each of -50 operating areas forecasts its utilities demand. The general format for these "unit spreadsheets...
Modeling volcanic ash dispersal
None
2011-10-06T23:59:59.000Z
Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.
Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.
2012-07-17T23:59:59.000Z
Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.
Modeling for Airborne Contamination
F.R. Faillace; Y. Yuan
2000-08-31T23:59:59.000Z
The objective of Modeling for Airborne Contamination (referred to from now on as ''this report'') is to provide a documented methodology, along with supporting information, for estimating the release, transport, and assessment of dose to workers from airborne radioactive contaminants within the Monitored Geologic Repository (MGR) subsurface during the pre-closure period. Specifically, this report provides engineers and scientists with methodologies for estimating how concentrations of contaminants might be distributed in the air and on the drift surfaces if released from waste packages inside the repository. This report also provides dose conversion factors for inhalation, air submersion, and ground exposure pathways used to derive doses to potentially exposed subsurface workers. The scope of this report is limited to radiological contaminants (particulate, volatile and gaseous) resulting from waste package leaks (if any) and surface contamination and their transport processes. Neutron activation of air, dust in the air and the rock walls of the drift during the preclosure time is not considered within the scope of this report. Any neutrons causing such activation are not themselves considered to be ''contaminants'' released from the waste package. This report: (1) Documents mathematical models and model parameters for evaluating airborne contaminant transport within the MGR subsurface; and (2) Provides tables of dose conversion factors for inhalation, air submersion, and ground exposure pathways for important radionuclides. The dose conversion factors for air submersion and ground exposure pathways are further limited to drift diameters of 7.62 m and 5.5 m, corresponding to the main and emplacement drifts, respectively. If the final repository design significantly deviates from these drift dimensions, the results in this report may require revision. The dose conversion factors are further derived by using concrete of sufficient thickness to simulate the drift walls. The gamma-ray scattering properties of concrete are sufficiently similar to those of the host rock and proposed insert material; use of concrete will have no significant impact on the conclusions. The information in this report is presented primarily for use in performing pre-closure radiological safety evaluations of radiological contaminants, but it may also be used to develop strategies for contaminant leak detection and monitoring in the MGR. Included in this report are the methods for determining the source terms and release fractions, and mathematical models and model parameters for contaminant transport and distribution within the repository. Various particle behavior mechanisms that affect the transport of contaminant are included. These particle behavior mechanisms include diffusion, settling, resuspension, agglomeration and other deposition mechanisms.
Constitutive modeling of fused deposition modeling acrylonitrile butadiene styrene (ABS)
Mamadapur, Monish Shivappa
2009-05-15T23:59:59.000Z
Fused deposition modeling is a rapid prototyping process that is widely used to create prototypes. Acrylonitrile butadiene styrene is the most widely used material for fused deposition modeling. The parts are fabricated in a layer by layer fashion...
Modeling prosodic features in language models for meetings.
Huang, Songfang; Renals, Steve
2007-01-01T23:59:59.000Z
In this paper we investigate the application of a novel technique for language modeling - a hierarchical Bayesian language model (LM) based on the Pitman-Yor process - on automatic speech recognition (ASR) for multiparty meetings. The hierarchical...
Comparison of Photovoltaic Models in the System Advisor Model: Preprint
Blair, N. J.; Dobos, A. P.; Gilman, P.
2013-08-01T23:59:59.000Z
The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.
STEAM RECEIVER MODELS FOR SOLAR DISH CONCENTRATORS: TWO MODELS COMPARED
response of a parabolic dish steam cavity receiver. Both approaches are based on a heat transfer model
EnergyPlus Model Appendix G -EnergyPlus Model
Home B) C_ela 55.66 51.51 ELA (in.2) 38.83 35.93 The heating, ventilation, and air conditioning (HVAC) system is modeled as a single-speed heat pump with a Seasonal Energy Efficiency Ratio (SEER) of 13Appendix G EnergyPlus Model #12;G.1 Appendix G - EnergyPlus Model G.1 EnergyPlus Modeling Inputs
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Stachniss, Cyrill
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query
Motivation Model Results Summary A generative model for feedback networks
White, Douglas R.
similar business partners) #12;Motivation Model Results Summary Cycle formation in growing network How) business network (seeking for not too similar business partners) #12;Motivation Model Results Summary Cycle Simulations #12;Motivation Model Results Summary An example Creating a strategic alliance in business 3 links
Model Projection: Simplifying Models in Response to Restricting the Environment
Singer, Jeremy
. For example, the `basic model' car air conditioning system may not offer the climate control functionality constructed by model checkers [8] and built by engineers in the telecommunications and embedded systems on state-based modelling [27], and are widely used for specifying discrete-event control devices
INCORPORATION OF GROUNDWATER FLOW INTO NUMERICAL MODELS AND DESIGN MODELS
03/10/99 1 INCORPORATION OF GROUNDWATER FLOW INTO NUMERICAL MODELS AND DESIGN MODELS Jeffrey D-coupled, ground-source heat pumps, groundwater, heat pump, heat exchanger, heat transfer, numerical models transport of heat by moving groundwater may be an important factor in reducing the necessary size of closed
Modeling of a Foamed Emulsion Bioreactor: II. Model Parametric Sensitivity
ARTICLE Modeling of a Foamed Emulsion Bioreactor: II. Model Parametric Sensitivity Eunsung Kan: The sensitivity of a conceptual model of a foam emulsion bioreactor (FEBR) used for the control of toluene vapors mass transfer and kinetic limitations can coexist in the bioreactor system. These results will help
Comparison of Competing Software Reliability Models: Bayesian Model Selection
Basu, Sanjib
is in software development and testing. The goal of software reliability research is to quantify the performanceComparison of Competing Software Reliability Models: Bayesian Model Selection Sanjib Basu and Nader@math.niu.edu and nader@math.niu.edu Abstract Software reliability models are used to describe the evolution
Vegetated Roof Water-Balance Model: Experimental and Model Results
Vegetated Roof Water-Balance Model: Experimental and Model Results James A. Sherrard Jr.1 and Jennifer M. Jacobs, M.ASCE2 Abstract: A five parameter, daily vegetated roof water balance model (VR-WBM) was developed, calibrated, and validated by using experimental vegetated roof data from the Seacoast, New
Modelling the Electricity Market: from Equilibrium Models to Simulation
Lavaei, Javad
Modelling the Electricity Market: from Equilibrium Models to Simulation Yoann Poirier Abstract - This paper aims at providing an overview of the different models used in order to describe the Electricity the Electricity Market: Cournot Equilibrium, Bertrand Equilibrium and Supply Function Equilibrium. I will make
Model combination by decomposition and aggregation
Xu, Mingyang, 1974-
2004-01-01T23:59:59.000Z
This thesis focuses on a general problem in statistical modeling, namely model combination. It proposes a novel feature-based model combination method to improve model accuracy and reduce model uncertainty. In this method, ...
A framework for benchmarking land models
2012-01-01T23:59:59.000Z
their inclu- sion in Earth system models (ESMs). State-of-land models cou- pled to Earth system models should simulateland models within Earth system models, however, can help
Bayesian Networks for Social Modeling
Whitney, Paul D.; White, Amanda M.; Walsh, Stephen J.; Dalton, Angela C.; Brothers, Alan J.
2011-03-28T23:59:59.000Z
This paper describes a body of work developed over the past five years. The work addresses the use of Bayesian network (BN) models for representing and predicting social/organizational behaviors. The topics covered include model construction, validation, and use. These topics show the bulk of the lifetime of such model, beginning with construction, moving to validation and other aspects of model ‘critiquing’, and finally demonstrating how the modeling approach might be used to inform policy analysis. To conclude, we discuss limitations of using BN for this activity and suggest remedies to address those limitations. The primary benefits of using a well-developed computational, mathematical, and statistical modeling structure, such as BN, are 1) there are significant computational, theoretical and capability bases on which to build 2) ability to empirically critique the model, and potentially evaluate competing models for a social/behavioral phenomena.
Approximate inference in graphical models
Hennig, Philipp
2011-02-08T23:59:59.000Z
are developed for challenging applied inference problems. Chapter 3 derives the first probabilistic game tree search algorithm. Chapter 4 provides a novel expressive model for inference in psychometric questionnaires. Chapter 5 develops a model for the topics...
Thermal Modeling of Lundell Alternators
Tang, Sai Chun
Thermal analysis of Lundell alternators used in automobiles is presented. An analytical thermal model for Lundell alternators is proposed, and procedures for acquiring the model parameters are elucidated. Based on the ...
Model reduction in physical domain
Ye, Yong, 1971-
2002-01-01T23:59:59.000Z
Modeling is an essential part of the analysis and the design of dynamic systems. Contemporary computer algorithms can produce very detailed models for complex systems with little time and effort. However, over complicated ...
Axt, Konstantin
2013-06-29T23:59:59.000Z
In this project rRNA maturation was investigated with the help of mathematical models of processing pathways from pre-rRNA to mature rRNA species. Previously described models were transferred from Excel to Mathematica. ...
HYDROLYZED WOOD SLURRY FLOW MODELING
Wrathall, Jim
2012-01-01T23:59:59.000Z
LBL-10090 UC-61 HYDROLYZED WOOD SLURRY FLOW MODELING JimLBL-10090 HYDROLYZED WOOD SLURRY FLOW MODELING Jim Wrathallconversion of hydrolyzed wood slurry to fuel oil, Based on
Environmental Modeling: Coping with Uncertainty
Politècnica de Catalunya, Universitat
Statistical heterogeneity Complex correlation structures · Classical models: Additive noise UniEnvironmental Modeling: Coping with Uncertainty Daniel M. Tartakovsky (dmt@lanl.gov) Theoretical of environmental processes 2. Parametric uncertainty 3. Current approaches to uncertainty quantification 4. Random
Tools for dynamic model development
Schaber, Spencer Daniel
2014-01-01T23:59:59.000Z
For this thesis, several tools for dynamic model development were developed and analyzed. Dynamic models can be used to simulate and optimize the behavior of a great number of natural and engineered systems, from the ...
Named entity tagged language models.
Gotoh, Yoshihiko; Renals, Steve; Williams, Gethin
1999-01-01T23:59:59.000Z
We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our approach to NE tagged language model (LM...
Modeling applied to problem solving
Pawl, Andrew
We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasma |EfficiencyCR-B-99-02Contact on2009: ChuOverview ofPermitProgramRampart, AKReal-World Models DOE and
Model Verification and Validation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesMode AnalysesU.S.Model
Modeling & Simulation publications
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeofModeling &
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeofModeling
Abdullah, Z.; Salcudean, M.; Nowak, P.
. They are characterized by a wide range of scales and a complex interaction between the fuel and the air which are introduced separately. The interaction between the jets can often lead to unstea dyness. The flow is turbulent, and the jets have strong curvature.... [17] Davison, F.J., 'Nozzle Scaling in Isothermal fur nace Models', Journal of the Institute of Fuel, pp. 470-475, 1968. [18] Adams, T.N., 'Air Jets and Mixing in Kraft Re covery Boilers', Proceedings of the TAPPI Kraft Recovery Operating...
Building Energy Modeling Library
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankShale_Gas.pdfService on the TargetFY12Environmentto WholeII - CompactBuildingBuildingModeling (BEM)
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power AdministrationHawaiiEnergyFloridaOutlookOctoberHeavythe RolePlastics -fidelity Modeling of Local
Model Verification and Validation
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the Complex andFOUR Los Phase 1Miller winsMission and| Department ofModel
Liu, X.; Gales, M. J. F.; Woodland, P. C.
2014-04-30T23:59:59.000Z
of Fisher conversational speech released by the LDC. A 59k recognition word list was used in decoding. The system uses a multi-pass recognition framework. The initial lattice generation used gender depen- dent cross-word triphone acoustic models... . The baseline LM was trained using a total of 1.0 billion words from 8 difference text sources. The two text sources with the highest interpolation weights, the LDC Fisher acoustic transcriptions [8], Fisher, of 20 million words (0.6), and the University...
Westbrook, C.K.; Pitz, W.J. [Lawrence Livermore National Laboratory, CA (United States)
1993-12-01T23:59:59.000Z
This project emphasizes numerical modeling of chemical kinetics of combustion, including applications in both practical combustion systems and in controlled laboratory experiments. Elementary reaction rate parameters are combined into mechanisms which then describe the overall reaction of the fuels being studied. Detailed sensitivity analyses are used to identify those reaction rates and product species distributions to which the results are most sensitive and therefore warrant the greatest attention from other experimental and theoretical research programs. Experimental data from a variety of environments are combined together to validate the reaction mechanisms, including results from laminar flames, shock tubes, flow systems, detonations, and even internal combustion engines.
Autotune Building Energy Models
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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Enterprise Risk Management Model
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power AdministrationHawaiiEnergy Storage Management forRI/FS andFramework The Enterprise RiskModel The
Integrated Assessment Modeling
Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Janetos, Anthony C.; Kim, Son H.; Wise, Marshall A.; McJeon, Haewon C.
2012-10-31T23:59:59.000Z
This paper discusses the role of Integrated Assessment models (IAMs) in climate change research. IAMs are an interdisciplinary research platform, which constitutes a consistent scientific framework in which the large-scale interactions between human and natural Earth systems can be examined. In so doing, IAMs provide insights that would otherwise be unavailable from traditional single-discipline research. By providing a broader view of the issue, IAMs constitute an important tool for decision support. IAMs are also a home of human Earth system research and provide natural Earth system scientists information about the nature of human intervention in global biogeophysical and geochemical processes.
14.772 Development Economics: Macroeconomics, Spring 2009
Kremer, Michael
This course emphasizes dynamic models of growth and development. Topics covered include: migration, modernization, and technological change; static and dynamic models of political economy; the dynamics of income distribution ...
Is Imaginary Starobinsky Model Real?
Renata Kallosh; Andrei Linde; Bert Vercnocke; Wissam Chemissany
2014-08-12T23:59:59.000Z
We investigate the recently proposed possibility of chaotic inflation with respect to the imaginary part of the field T in a supersymmetric embedding of the Starobinsky model. We show that the stage of rapid expansion driven by Im T in this model ends almost instantly, and the subsequent stages of inflation are driven by the real part of the field T, as in the standard Starobinsky model. Thus, the Starobinsky model and its supersymmetric generalizations remain disfavored by the recent BICEP2 data.
Concurrency models and Modern Processors
Wolper, Pierre
) (global) To correspond to the SC model, an execution must satisfy the following conditions : opi , opj : opi opi
Business Model Guide Executive Summary
Broader source: Energy.gov [DOE]
The Business Model Guide Executive Summary by the U.S. Department of Energy's Better Buildings Neighborhood Program.
Field Theory and Standard Model
W. Buchmüller; C. Lüdeling
2006-09-18T23:59:59.000Z
This is a short introduction to the Standard Model and the underlying concepts of quantum field theory.
Ultraviolet Completion of Flavour Models
Ivo de Medeiros Varzielas; Luca Merlo
2010-11-30T23:59:59.000Z
Effective Flavour Models do not address questions related to the nature of the fundamental renormalisable theory at high energies. We study the ultraviolet completion of Flavour Models, which in general has the advantage of improving the predictivity of the effective models. In order to illustrate the important features we provide minimal completions for two known A4 models. We discuss the phenomenological implications of the explicit completions, such as lepton flavour violating contributions that arise through the exchange of messenger fields.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information...
Formal Models for Embedded Commissioning
Turkaslan-Bulbul, M. T.; Akin, O.
2005-01-01T23:59:59.000Z
. Garrett, Jr. J.H. Akinci, B. Wang H. (2004) “Embedded Commissioning for Building Design”, Proceedings of European Conference on Product and Process Modeling in the Building and Construction Industry, Istanbul, Turkey. Turkaslan-Bulbul, M.T. Akin, O...Formal Models for Embedded Commissioning M. Tanyel Türkaslan-Bülbül, Ömer Ak?n School of Architecture, Carnegie Mellon University 1. Why Modeling? Building product models play a significant role for capturing the domain knowledge...
Hot blast stove process model and model-based controller
Muske, K.R. [Villanova Univ., PA (United States). Dept. of Chemical Engineering; Howse, J.W.; Hansen, G.A.; Cagliostro, D.J. [Los Alamos National Lab., NM (United States). Computational Science Methods Group; Chaubal, P.C. [Inland Steel Industries, Inc., East Chicago, IN (United States). Research Labs.
1998-12-31T23:59:59.000Z
This paper describes the process model and model-based control techniques implemented on the hot blast stoves for the No. 7 Blast Furnace at the Inland Steel facility in East Chicago, Indiana. A detailed heat transfer model of the stoves is developed and verified using plant data. This model is used as part of a predictive control scheme to determine the minimum amount of fuel necessary to achieve the blast air requirements. The model is also used to predict maximum and minimum temperature constraint violations within the stove so that the controller can take corrective actions while still achieving the required stove performance.
Model Based Control Refrigeration Systems
Model Based Control of Refrigeration Systems Ph.D. Thesis Lars Finn Sloth Larsen Central R & D University, Denmark. The work has been carried out at the Central R&D - Refrigeration and Air Conditioning The subject for this Ph.D. thesis is model based control of refrigeration systems. Model based control covers
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis
Bianchi Models with Chaplygin Gas
Gülçin; Uluyazi; Özgür Sevinc
2012-09-13T23:59:59.000Z
Einstein Gravitational Field Equations (EFE) of Chaplygin gas dominated Bianchi-type models are obtained by using metric approximation. The solutions of equations for a special case, namely Bianchi I model which is a generalization of isotropic Friedmann-Robertson-Walker (FRW) cosmology, are obtained. The early and late behaviours of some kinematic parameters in model are presented in graphically.
Stochastic Programming from Modeling Languages
Gondzio, Jacek
i i i i Chapter 1 Stochastic Programming from Modeling Languages Emmanuel Fragni`ere1 and Jacek for mathematical programs. Algebraic modeling languages provide facility for the management of a math- ematical to deal with uncertain future 1 #12;i i i i 2 Chapter 1. Stochastic Programming from Modeling Languages
Compositional Receptor Modeling Dean Billheimer
Washington at Seattle, University of
regarding presence or absence of chemical tracers. I illustrate this approach by modeling air pollution data-Roche for providing the Juneau, AK air pollution data. 1 #12;1 Introduction to Source Receptor Modeling Air quality these issues by analyzing pollution concentrations measured in ambient air. These models aim to identify pol
Functional Convolution Models Maria Asencio
Keinan, Alon
on the California E55/59 study of diesel truck emissions. Keywords: Convolution Model, Functional Data Analysis-world road conditions, from highways to suburban traffic. An emissions analyzer is attached to the truck, Distributed Lag Model, Particulate Matter, Emissions Modeling 1. INTRODUCTION This paper proposes
Climate Modeling and Function Fitting
Blais, Brian
of trends from long-term geologic data Craig Loehle NCASI, 552 S. Washington Street #224, Naperville, IL the model a func- tion of solar activity or other physical variables. The model is intended to apply have been found in geologic data, and a cyclic (sum of sin waves) model is the simplest way to capture
Mesoscale Modeling Spring Semester 2014
ATS730 Mesoscale Modeling Spring Semester 2014 Meeting Times: T/TH: 9-10:15am Room: ATS 101 is to present the development of the basic equations used in mesoscale models, as well as the various methods than on actual simulations of mesoscale phenomena or the evaluation of specific mesoscale models
4, 54555514, 2004 Mesoscale modeling
Paris-Sud XI, Université de
ACPD 4, 54555514, 2004 Mesoscale modeling of combined aerosol and photo-oxidant processes M Union 2004 Atmospheric Chemistry and Physics Discussions Mesoscale modeling of combined aerosol5514, 2004 Mesoscale modeling of combined aerosol and photo-oxidant processes M. Lazaridis et al. Title Page
DATA ASSIMILATION IN HYDRODYNAMIC MODELS
modelling and Kalman filters. The thesis consists of a summary report and a collection of seven researchDATA ASSIMILATION IN HYDRODYNAMIC MODELS OF CONTINENTAL SHELF SEAS Jacob Viborg Tornfeldt Sørensen Informatics and Mathematical Modelling Technical University of Denmark Ph.D. Thesis No. 126 Kgs. Lyngby 2004
Keller, Arturo A.
WATER QUALITY MODELING OF THE STATE OF OHIO COMPONENT OF THE OHIO RIVER BASIN WATER QUALITY TRADING PROGRAM #12;Water Quality Modeling of the State of Ohio Component of the Ohio River Basin Water Quality Trading Program #12;2 Water Quality Modeling of the State of Ohio Component of the Ohio River Basin Water
timber quality Modelling and forecasting
Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe M E F Y Q U E #12;Valuing and the UK are working closely together to develop a model to help forecast timber growth, yield, quality
MODELING HORMONAL CONTROL MENSTRUAL CYCLE
MODELING HORMONAL CONTROL OF THE MENSTRUAL CYCLE James F. Selgrade Department of Mathematics of five hormones important for regulation and maintenance of the menstrual cycle. Models which correctly@math.ncsu.edu Abstract This study presents a strategy for developing a mathematical model describing the concentrations
An Introduction to Model Checking
Wolper, Pierre
expertise and is not yet sufficiently powerful to be widely usable. Model checking [CES86] is often thoughtstate systems and, though this limitation is no longer absolute, model checking is still only applicable aspect on which model checking diverges from traditional verification is that it is fully algorithmic
Unstructured grid modelling to create 3-D Earth models that unify geological and geophysical
Farquharson, Colin G.
Unstructured grid modelling to create 3-D Earth models that unify geological and geophysical Conclusion The common Earth model Geophysical inversion Geological and geophysical models Instructured meshes Geophysical inversion Geological and geophysical models Instructured meshes Motivation: The common Earth model
Key challenges to model-based design : distinguishing model confidence from model validation
Flanagan, Genevieve (Genevieve Elise Cregar)
2012-01-01T23:59:59.000Z
Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...
Model documentation report: Transportation sector model of the National Energy Modeling System
Not Available
1994-03-01T23:59:59.000Z
This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.
Tachyon warm inflationary universe models
R. Herrera; S. del Campo; C. Campuzano
2006-10-11T23:59:59.000Z
Warm inflationary universe models in a tachyon field theory are studied. General conditions required for these models to be realizable are derived and discussed. We describe scalar perturbations (in the longitudinal gauge) and tensor perturbations for these scenarios. We develop our models for a constant dissipation parameter $\\Gamma$ in one case and one dependent on $\\phi$ in the other case. We have been successful in describing such of inflationary universe models. We use recent astronomical observations for constraining the parameters appearing in our model. Also, our results are compared with their analogous found in the cool inflationary case.
Propane Market Model documentation report
Not Available
1993-12-01T23:59:59.000Z
The purpose of this report is to define the objectives of the Propane Market Model (PMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM performs a short-term (6- to 9-months) forecast of demand and price for consumer-grad propane in the national US market; it also calculates the end-of-month stock level during the term of the forecast. Another part of the model allows for short-term demand forecasts for certain individual Petroleum Administration for Defense (PAD) districts. The model is used to analyze market behavior assumptions or shocks and to determine the effect on market price, demand, and stock level.
Modeling the Nuclear Fuel Cycle
Jacob J. Jacobson; A. M. Yacout; G. E. Matthern; S. J. Piet; A. Moisseytsev
2005-07-01T23:59:59.000Z
The Advanced Fuel Cycle Initiative is developing a system dynamics model as part of their broad systems analysis of future nuclear energy in the United States. The model will be used to analyze and compare various proposed technology deployment scenarios. The model will also give a better understanding of the linkages between the various components of the nuclear fuel cycle that includes uranium resources, reactor number and mix, nuclear fuel type and waste management. Each of these components is tightly connected to the nuclear fuel cycle but usually analyzed in isolation of the other parts. This model will attempt to bridge these components into a single model for analysis. This work is part of a multi-national laboratory effort between Argonne National Laboratory, Idaho National Laboratory and United States Department of Energy. This paper summarizes the basics of the system dynamics model and looks at some results from the model.
Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint
Wagner, M. J.; Blair, N.; Dobos, A.
2010-10-01T23:59:59.000Z
Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.
Application of Improved Radiation Modeling to General Circulation Models
Michael J Iacono
2011-04-07T23:59:59.000Z
This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.
Nonextensive models for earthquakes
Silva, R.; Franca, G.S.; Vilar, C.S.; Alcaniz, J.S. [Observatorio Nacional, Rua Gal. Jose Cristino 77, 20921-400 Rio de Janeiro (Brazil) and Universidade do Estado do Rio Grande do Norte, 59610-210 Mossoro, RN (Brazil); Departamento de Fisica, Universidade Federal do Rio Grande do Norte, 59072-970 Natal, RN (Brazil); Observatorio Nacional, Rua Gal. Jose Cristino 77, 20921-400 Rio de Janeiro (Brazil)
2006-02-15T23:59:59.000Z
We have revisited the fragment-asperity interaction model recently introduced by Sotolongo-Costa and Posadas [Phy. Rev. Lett. 92, 048501 (2004)] by considering a different definition for mean values in the context of Tsallis nonextensive statistics and introducing a scale between the earthquake energy and the size of fragment {epsilon}{proportional_to}r{sup 3}. The energy-distribution function (EDF) deduced in our approach is considerably different from the one obtained in the above reference. We have also tested the viability of this EDF with data from two different catalogs (in three different areas), namely, the NEIC and the Bulletin Seismic of the Revista Brasileira de Geofisica. Although both approaches provide very similar values for the nonextensive parameter q, other physical quantities, e.g., energy density, differ considerably by several orders of magnitude.
San Joaquin-Tulare Conjunctive Use Model: Detailed model description
Quinn, N.W.T.
1992-03-01T23:59:59.000Z
The San Joaquin - Tulare Conjunctive Use Model (SANTUCM) was originally developed for the San Joaquin Valley Drainage Program to evaluate possible scenarios for long-term management of drainage and drainage - related problems in the western San Joaquin Valley of California. A unique aspect of this model is its coupling of a surface water delivery and reservoir operations model with a regional groundwater model. The model also performs salinity balances along the tributaries and along the main stem of the San Joaquin River to allow assessment of compliance with State Water Resources Control Board water quality objectives for the San Joaquin River. This document is a detailed description of the various subroutines, variables and parameters used in the model.
Alternative methods of modeling wind generation using production cost models
Milligan, M.R. [National Renewable Energy Lab., Golden, CO (United States)] [National Renewable Energy Lab., Golden, CO (United States); Pang, C.K. [P Plus Corp., Cupertino, CA (United States)] [P Plus Corp., Cupertino, CA (United States)
1996-08-01T23:59:59.000Z
This paper examines the methods of incorporating wind generation in two production costing models: one is a load duration curve (LDC) based model and the other is a chronological-based model. These two models were used to evaluate the impacts of wind generation on two utility systems using actual collected wind data at two locations with high potential for wind generation. The results are sensitive to the selected wind data and the level of benefits of wind generation is sensitive to the load forecast. The total production cost over a year obtained by the chronological approach does not differ significantly from that of the LDC approach, though the chronological commitment of units is more realistic and more accurate. Chronological models provide the capability of answering important questions about wind resources which are difficult or impossible to address with LDC models.
Radiolysis Model Formulation for Integration with the Mixed Potential Model
Buck, Edgar C.; Wittman, Richard S.
2014-07-10T23:59:59.000Z
The U.S. Department of Energy Office of Nuclear Energy (DOE-NE), Office of Fuel Cycle Technology has established the Used Fuel Disposition Campaign (UFDC) to conduct the research and development activities related to storage, transportation, and disposal of used nuclear fuel (UNF) and high-level radioactive waste. Within the UFDC, the components for a general system model of the degradation and subsequent transport of UNF is being developed to analyze the performance of disposal options [Sassani et al., 2012]. Two model components of the near-field part of the problem are the ANL Mixed Potential Model and the PNNL Radiolysis Model. This report is in response to the desire to integrate the two models as outlined in [Buck, E.C, J.L. Jerden, W.L. Ebert, R.S. Wittman, (2013) “Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation,” FCRD-UFD-2013-000290, M3FT-PN0806058
Solar Advisor Model; Session: Modeling and Analysis (Presentation)
Blair, N.
2008-04-01T23:59:59.000Z
This project supports the Solar America Initiative by: (1) providing a consistent framework for analyzing and comparing power system costs and performance across the range of solar technologies and markets, PV, solar heat systems, CSP, residential, commercial and utility markets; (2) developing and validating performance models to enable accurate calculation of levelized cost of energy (LCOE); (3) providing a consistent modeling platform for all TPP's; and (4) supporting implementation and usage of cost models.
Medion:The "Orchestrator" Business Model
Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L
2006-01-01T23:59:59.000Z
The “Orchestrator” Business Model Medion is not a producta strongly atypical business model in the PC value chain. Itwas able to interpret this business model with flexibility,
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01T23:59:59.000Z
Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order
Realization Modeling and Simulation in the
: Decision: objective hierarchies and influence diagram System: rover suspension model using Modelica Realization Laboratory System Modeling Modelica language: an object-oriented modeling language for engineering
Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using...
A reinforcement learning model of gaze following
Jasso, Hector
2007-01-01T23:59:59.000Z
Modeling (ICCM 2006), Trieste, Italy, April 2006. TheModeling (ICCM 2006), Trieste, Italy, April H. Jasso, J.Modeling (ICCM 2006), Trieste, Italy, April 2006. The
Pitt, Robert E.
APPENDIX H Watershed and Receiving Water Modeling CONTENTS Introduction ..................................................................................................................852 Receiving Water Models ......................................................................................................................................866 INTRODUCTION Models are important tools for watershed and receiving water analyses because
LANL computer model boosts engine efficiency
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LANL computer model boosts engine efficiency LANL computer model boosts engine efficiency The KIVA model has been instrumental in helping researchers and manufacturers understand...
Sandia National Laboratories: PV Performance Modeling Collaborative
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling Collaborative PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy,...
NONE
1996-02-26T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.
Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI
Rotstein, Horacio G.
and compare our model to the SPM-GLM method. Our findings sug- gest that our method offers a better approach
Model Predictability Depends on Model Fidelity: Challenges in...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
and climate, and projections of climate change, show that current climate and Earth-system models continue to have stubborn irreducible errors. It is unlikely that the...
Alternatives to traditional model comparison strategies for covariance structure models
Preacher, K. J.; Cai, Li; MacCallum, R. C.
2007-01-01T23:59:59.000Z
involving an extension of recently introduced methods to nested model scenarios. Following our discussion of power, we further explore the potential value of adopting a model selection approach that avoids hypoth- a105 ?Chapter3?Preacher? ? 2007/2/12 ? 15... is literally true, there is an obvious logical problem in testing the null hypothesis that a model fits data perfectly in the population. Yet, this is precisely the hypothesis tested by the popular LR test of model a105 ?Chapter3?Preacher? ? 2007/2/12 ? 15...
A probabilistic graphical model based stochastic input model construction
Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)
2014-09-01T23:59:59.000Z
Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: • Data-driven stochastic input models without the assumption of independence of the reduced random variables. • The problem is transformed to a Bayesian network structure learning problem. • Examples are given in flows in random media.
Petroleum Market Model of the National Energy Modeling System
NONE
1997-01-01T23:59:59.000Z
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.
Assessment of Molecular Modeling & Simulation
None
2002-01-03T23:59:59.000Z
This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.
Minisuperspace models as infrared contributions
Bojowald, Martin
2015-01-01T23:59:59.000Z
A direct correspondence of quantum mechanics as a minisuperspace model for a self-interacting scalar quantum-field theory is established by computing, in several models, the infrared contributions to 1-loop effective potentials of Coleman--Weinberg type. A minisuperspace approximation rather than truncation is thereby obtained. By this approximation, the spatial averaging scale of minisuperspace models is identified with an infrared scale (but not a regulator or cut-off) delimiting the modes included in the minisuperspace model. Some versions of the models studied here have discrete space or modifications of the Hamiltonian expected from proposals of loop quantum gravity. They shed light on the question of how minisuperspace models of quantum cosmology can capture features of full quantum gravity. While it is shown that modifications of the Hamiltonian can well be described by minisuperspace truncations, some related phenomena such as signature change, confirmed and clarified here for modified scalar field th...
Huang, Xiaobiao; /SLAC; Safranek, James; /SLAC
2012-06-28T23:59:59.000Z
We use measured or simulated magnetic fields for dipoles and quadrupoles to build a lattice model for SPEAR3. In a non-symplectic approach the phase space coordinate mapping on the fields is based on numerical integration of the equation of motion. In a symplectic approach we approximate the fields with proper fringe field models. Complication of the use of rectangular gradient dipoles in SPEAR3 is considered. Results of the model is compared to measurements on the real machine.
Power Plant Modeling and Simulation
2008-07-21T23:59:59.000Z
The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.
Spatiotemporal brain imaging and modeling
Lin, Fa-Hsuan, 1972-
2004-01-01T23:59:59.000Z
This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain cognition. Exploration of these brain mechanisms requires both structural and functional knowledge ...
Computational Models for Understanding Weather
Muraki, David J.
Computational Models for Understanding Weather Mathematics for Atmospheric Science http://weather-S migration Dutton Conway zonal jetstream in unstable weather 6 #12;Baroclinic Instability Vortices
Power Plant Modeling and Simulation
None
2010-01-08T23:59:59.000Z
The National Energy Technology Laboratory's Office of Research and Development provides open source tools and expetise for modeling and simulating power plants and carbon sequestration technologies.
Viseoolastio effective rheologies for modelling
fluid relaxation function coupling coef?cient The model satisfies basic physical properties such as, for ... velocity dispersion at sonic and ultrasonic frequencies [l'
Lorentz conserving noncommutative standard model
Ettefaghi, M. M.; Haghighat, M. [Department of Physics, Isfahan University of Technology, Isfahan (Iran, Islamic Republic of)
2007-06-15T23:59:59.000Z
We consider Lorentz-conserving noncommutative field theory to construct the Lorentz-conserving noncommutative standard model based on the gauge group SU(3)xSU(2)xU(1). We obtain the enveloping algebra-valued of Higgs field up to the second order of the noncommutativity parameter {theta}{sub {mu}}{sub {nu}}. We derive the action at the leading order and find new vertices which are absent in the ordinary standard model as well as the minimal noncommutative standard model. We briefly study the phenomenological aspects of the model.
Numerical wind speed simulation model
Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.
1981-09-01T23:59:59.000Z
A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.
Transport Properties for Combustion Modeling
Brown, N.J.
2010-01-01T23:59:59.000Z
a critical role in combustion processes just as chemicalparameters are essential for combustion modeling; molecularwith Application to Combustion. Transport Theor Stat 2003;
Turbulence models of gravitational clustering
Jose Gaite
2012-02-15T23:59:59.000Z
Large-scale structure formation can be modeled as a nonlinear process that transfers energy from the largest scales to successively smaller scales until it is dissipated, in analogy with Kolmogorov's cascade model of incompressible turbulence. However, cosmic turbulence is very compressible, and vorticity plays a secondary role in it. The simplest model of cosmic turbulence is the adhesion model, which can be studied perturbatively or adapting to it Kolmogorov's non-perturbative approach to incompressible turbulence. This approach leads to observationally testable predictions, e.g., to the power-law exponent of the matter density two-point correlation function.
Limit theory for overfit models
Calhoun, Grayson Ford
2009-01-01T23:59:59.000Z
theory. . . . . . . . . . . . . . . . . . . . . . . . .1.2 Asymptotic Theory and Main Results . . . . . . . . .Chapter 2 Limit theory for comparing over?t models out-of-
Kinetic Modeling of Microbiological Processes
Liu, Chongxuan; Fang, Yilin
2012-09-17T23:59:59.000Z
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.
Nuclear Fallout Models – An Overview
Hodges, Matthew [UNLV
2014-10-21T23:59:59.000Z
This presentation is an introduction to a full report, which is a tutorial for individuals using the products of the models reviewed.
Evaluation of a Vector Hypercube for Seismic Modelling Seismic modelling
Renaut, Rosemary
Evaluation of a Vector Hypercube for Seismic Modelling Abstract Seismic modelling is a computationally to produce realistic seismic traces intensive problem. A 2D syn- Rosemary Renautt and Johnny equation is the first step in the generation of a synthetic seismogram as an aid in the interpretation
MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL
Ihler, Alexander
MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms--- sensor Knowledge of the number of people in a building at a given time is crucial for applications
MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL
Ihler, Alexander
MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms-- sensor Knowledge of the number of people in a building at a given time is crucial for applications
STATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL
Rudnyi, Evgenii B.
to apply. The algorithm to maximize a likelihood function in the case of a non-linear physico - the same variances of errors 3.1. One-way classification 3.2. Linear regression 4. Real case (vaporizationSTATISTICAL MODEL OF SYSTEMATIC ERRORS: LINEAR ERROR MODEL E.B. Rudnyi Department of Chemistry
Modelling and Hazard Analysis for Contaminated Sediments Using Stamp Model
Boyer, Edmond
to evaluate safety and to perform accident analysis). Finally, the third section describes the concreteModelling and Hazard Analysis for Contaminated Sediments Using Stamp Model Karim Hardy* , Franck complex, call for a comprehensive approach to risk analysis which characterises all threats (to humans
Modeling the model Characteristics and behavior of genetic algorithms
Modeling the model Characteristics and behavior of genetic algorithms Author. Janeen Neri Progress in data files containing the fitness distribution and genetic algorithm specifications to be tested, and normalizes the fitness data for easier manipulation. A de- tailed pseudocode outline of the genetic algorithm
Chapter 1: Operating System Models 1 Operating System Models
Melbourne, University of
Chapter 1: Operating System Models 1 2 Operating System Models 2.1 Introduction Over the past several years, a number of trends affecting operating system design are witnessed and foremost among them is a move towards modularity. Operating systems such as Microsofts Windows, IBMs OS/2, C-DACs PARAS
AEROSOLS AND CLOUDS IN CHEMICAL TRANSPORT MODELS AND CLIMATE MODELS
of Earth's climate system. Clouds are highly reflective in the solar spectrum, yet strongly absorbingAEROSOLS AND CLOUDS IN CHEMICAL TRANSPORT MODELS AND CLIMATE MODELS Ulrike Lohmann1 and Stephen E Forum: Perturbed Clouds in the Climate System, Frankfurt, Germany March 2-7, 2008 Environmental Sciences
Rotordynamic instability: nonlinear modeling and analysis
Cooper, Charles Ira
1998-01-01T23:59:59.000Z
A basic rotordynamic model is developed for an crographics. unbalanced rotor connected to a shaft modeled as a continuous beam. This model examines the effects of nonlinear dynamics strictly related to the rotor and shaft. The model dynamics include...
Updating MIT's cost estimation model for shipbuilding
Smith, Matthew B., Lieutenant, junior grade
2008-01-01T23:59:59.000Z
This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...
Updating Disjunctive Databases via Model Trees
Gryz, Jarek
Updating Disjunctive Databases via Model the update problem for disjunctive databases represented by model trees. The concept of a model tree was introduced in [4] to provide a compact representation for disjunctive databases in terms of minimal models
CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT
Amor, Robert
CONCEPTUAL MODELLING OF A CONCURRENT ENGINEERING ENVIRONMENT Z. Turk1 , R. Wasserfuhr2 , P assisted concurrent engineering. Later experiences have shown that product modelling alone modelling framework which decomposes an abstract concurrent engineering environment into several modelling
FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH
Lesieutre, Bernard
2013-01-01T23:59:59.000Z
model. 3.0 PV System Modeling Issues When modeling the PV systems in the electric power electric grid. 4.0 Load Composition Data Tool 4.1. Introduction A power system model
Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion
Broader source: Energy.gov [DOE]
Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion, Summary of Remodeler Insights.
Broader source: Energy.gov [DOE]
Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.
Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion
Broader source: Energy.gov [DOE]
Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion, Summary of Retailer Insights.
GLOBAL COMPREHENSIVE MODELS IN POLITICS AND POLICYMAKING
Edwards, Paul N.
. In this editorial, I reflect on the role of comprehensive models, such as IAMs and earth system models (ESMs
Sandia Energy - Marine Hydrokinetics Technology: Reference Model...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Reference Model Development Home Stationary Power Energy Conversion Efficiency Water Power Marine Hydrokinetics Technology: Reference Model Development Marine Hydrokinetics...
Multiphase Sequestration Geochemistry: Model for Mineral Carbonation...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Multiphase Sequestration Geochemistry: Model for Mineral Carbonation. Multiphase Sequestration Geochemistry: Model for Mineral Carbonation. Abstract: Carbonation of formation...
Geothermal Electricity Technology Evaluation Model (GETEM) Development...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...
NONE
1994-02-24T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).
Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook
Zheng, Nina; Zhou, Nan; Fridley, David
2010-09-01T23:59:59.000Z
The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential back to the underlying strategies and combination of efficiency and abatement policy instruments represented by each scenario, this analysis also had other important but often overlooked findings.
Image Analysis Model-Based Methods
Wolfe, Patrick J.
Model-Based Methods Comparing and Evaluating Models Summary Further Reading Data Collection ScientificImage Analysis Model-Based Methods Comparing and Evaluating Models Summary Further Reading Fully Low-Count Image Analysis #12;Image Analysis Model-Based Methods Comparing and Evaluating Models
Multipole Expansion Model in Gravitational Lensing
T. Fukuyama; Y. Kakigi; T. Okamura
1997-01-31T23:59:59.000Z
Non-transparent models of multipole expansion model and two point-mass model are analyzed from the catastrophe theory. Singularity behaviours of $2^n$-pole moments are discussed. We apply these models to triple quasar PG1115+080 and compare with the typical transparent model, softened power law spheroids. Multipole expansion model gives the best fit among them.
Conventional regression models Auto-generated units
McCullagh, Peter
Conventional regression models Auto-generated units Consequences of auto-generation Inference regression models Auto-generated units Consequences of auto-generation Inference and prediction Outline 1 Conventional regression models Gaussian models Binary regression model Properties of regression models Problems
Stellar Evolution A Statistical Model
van Dyk, David
Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation
Consumer Vehicle Choice Model Documentation
Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL
2012-08-01T23:59:59.000Z
In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.
Smart World 2004 Semantic Modeling
Brock, David
Smart World 2004 Semantic Modeling December 8th , 2004 Modern business and operations managers decisions, and translate new data capabilities into new waves of productivity? At Smart World 2004, hear how such as interoperable data modeling and interactive simulation. Register now for Smart World 2004 to envision a fully
Logistic Model Trees Niels Landwehr
Frank, Eibe
Logistic Model Trees Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data
Logistic Model Trees + Niels Landwehr
Frank, Eibe
Logistic Model Trees + Niels Landwehr Institute for Computer Science, University of Freiburg for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data
Multimedia Project Studio Service Model
McShea, Daniel W.
Multimedia Project Studio Service Model Over the course of the summer of 2010, we took a fresh look at the MPS Service Model. The goal was to ensure the MPS is meeting campus needs in the multimedia support to engage the campus community effectively in an ongoing fashion. #12;Multimedia Project Studio - Service
4, 1367, 2007 Modelling carbon
Paris-Sud XI, Université de
BGD 4, 1367, 2007 Modelling carbon overconsumption and extracellular POC formation M. Schartau et carbon overconsumption and the formation of extracellular particulate organic carbon M. Schartau1 , A Correspondence to: M. Schartau (markus.schartau@gkss.de) 13 #12;BGD 4, 1367, 2007 Modelling carbon
INSTRUCTION MANUAL MODEL AA-2010
Bayindir, Mehmet
/ Analyzer. MODEL 7010 AMPLIFIER/ANAL VZER MODEL P.2000 Nal PROBE The gamma ray detection unit is a N aI radiation is absorbed; the Compton effect, in which part of the gamma ray energy escapesfrom the crystal the detected gamma ray energies. Literally hundreds of labora- tory experiments may be designed for studies for
Model for resonant plasma probe.
Warne, Larry Kevin; Johnson, William Arthur; Hebner, Gregory Albert; Jorgenson, Roy E.; Coats, Rebecca Sue
2007-04-01T23:59:59.000Z
This report constructs simple circuit models for a hairpin shaped resonant plasma probe. Effects of the plasma sheath region surrounding the wires making up the probe are determined. Electromagnetic simulations of the probe are compared to the circuit model results. The perturbing effects of the disc cavity in which the probe operates are also found.
The PASS project architectural model
Day, C.T.; Loken, S.; Macfarlane, J.F. [Lawrence Berkeley Lab., CA (United States)] [and others
1994-08-01T23:59:59.000Z
The PASS project has as its goal the implementation of solutions to the foreseen data access problems of the next generation of scientific experiments. The architectural model results from an evaluation of the operational and technical requirements and is described in terms of an abstract reference model, an implementation model and a discussion of some design aspects. The abstract reference model describes a system that matches the requirements in terms of its components and the mechanisms by which they communicate, but does not discuss policy or design issues that would be necessary to match the model to an actual implementation. Some of these issues are discussed, but more detailed design and simulation work will be necessary before choices can be made.
Modelling Chinese Smart Grid: A Stochastic Model Checking Case Study
Yüksel, Ender; Nielson, Flemming; Zhu, Huibiao; Huang, Heqing
2012-01-01T23:59:59.000Z
Cyber-physical systems integrate information and communication technology functions to the physical elements of a system for monitoring and controlling purposes. The conversion of traditional power grid into a smart grid, a fundamental example of a cyber-physical system, raises a number of issues that require novel methods and applications. In this context, an important issue is the verification of certain quantitative properties of the system. In this technical report, we consider a specific Chinese Smart Grid implementation and try to address the verification problem for certain quantitative properties including performance and battery consumption. We employ stochastic model checking approach and present our modelling and analysis study using PRISM model checker.
Lee, S.; Dimenna, R.; Tamburello, D.
2011-02-14T23:59:59.000Z
The process of recovering and processing High Level Waste (HLW) the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four mixers (pumps) located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are typically set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The focus of the present work is to establish mixing criteria applicable to miscible fluids, with an ultimate goal of addressing waste processing in HLW tanks at SRS and quantifying the mixing time required to suspend sludge particles with the submersible jet pump. A single-phase computational fluid dynamics (CFD) approach was taken for the analysis of jet flow patterns with an emphasis on the velocity decay and the turbulent flow evolution for the farfield region from the pump. Literature results for a turbulent jet flow are reviewed, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. The work described in this report suggests a basis for further development of the theory leading to the identified mixing indicators, with benchmark analyses demonstrating their consistency with widely accepted correlations. Although the indicators are somewhat generic in nature, they are applied to Savannah River Site (SRS) waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. One of the main objectives in the waste processing is to provide feed of a uniform slurry composition at a certain weight percentage (e.g. typically {approx}13 wt% at SRS) over an extended period of time. In preparation of the sludge for slurrying, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination?
EIA model documentation: Petroleum Market Model of the National Energy Modeling System
NONE
1994-12-30T23:59:59.000Z
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.
Halo modelling in chameleon theories
Lombriser, Lucas; Koyama, Kazuya [Institute of Cosmology and Gravitation, University of Portsmouth, Dennis Sciama Building, Burnaby Road, Portsmouth, PO1 3FX (United Kingdom); Li, Baojiu, E-mail: lucas.lombriser@port.ac.uk, E-mail: kazuya.koyama@port.ac.uk, E-mail: baojiu.li@durham.ac.uk [Institute for Computational Cosmology, Ogden Centre for Fundamental Physics, Department of Physics, University of Durham, Science Laboratories, South Road, Durham, DH1 3LE (United Kingdom)
2014-03-01T23:59:59.000Z
We analyse modelling techniques for the large-scale structure formed in scalar-tensor theories of constant Brans-Dicke parameter which match the concordance model background expansion history and produce a chameleon suppression of the gravitational modification in high-density regions. Thereby, we use a mass and environment dependent chameleon spherical collapse model, the Sheth-Tormen halo mass function and linear halo bias, the Navarro-Frenk-White halo density profile, and the halo model. Furthermore, using the spherical collapse model, we extrapolate a chameleon mass-concentration scaling relation from a ?CDM prescription calibrated to N-body simulations. We also provide constraints on the model parameters to ensure viability on local scales. We test our description of the halo mass function and nonlinear matter power spectrum against the respective observables extracted from large-volume and high-resolution N-body simulations in the limiting case of f(R) gravity, corresponding to a vanishing Brans-Dicke parameter. We find good agreement between the two; the halo model provides a good qualitative description of the shape of the relative enhancement of the f(R) matter power spectrum with respect to ?CDM caused by the extra attractive gravitational force but fails to recover the correct amplitude. Introducing an effective linear power spectrum in the computation of the two-halo term to account for an underestimation of the chameleon suppression at intermediate scales in our approach, we accurately reproduce the measurements from the N-body simulations.
Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS)
McShea, Daniel W.
) workflow Build a system architecture that is ready for the analyst desktop Generate models to interpret MAROB (113 minority organizations in Middle East and North Africa) · Variable selection process Theory
LOGISTIC POPULATION MODEL In the logistic population model ...
2015-08-26T23:59:59.000Z
In the logistic population model, the population growth rate obeys. dP dt. = r(1 ?. P c. )P, P(0) = P0. To solve this equation, we proceed as follow. dP dt. = r(1 ?. P.
Model Reduction and Parameter Estimation in Groundwater Modeling
Siade, Adam
2012-01-01T23:59:59.000Z
Uncon?ned Groundwater Model Reduction via Proper Orthogonalvi List of Figures One-dimensional groundwater ?owQuadratic Programming 3.1 Con?ned aquifer groundwater ?ow
System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report
Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.
2013-12-01T23:59:59.000Z
The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.
Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome
Caballero, Ricardo J.
2010-01-01T23:59:59.000Z
The recent financial crisis has damaged the reputation of macroeconomics, largely for its inability to predict the impending financial and economic crisis. To be honest, this inability to predict does not concern me much. ...
Air Conditioner Compressor Performance Model
Lu, Ning; Xie, YuLong; Huang, Zhenyu
2008-09-05T23:59:59.000Z
During the past three years, the Western Electricity Coordinating Council (WECC) Load Modeling Task Force (LMTF) has led the effort to develop the new modeling approach. As part of this effort, the Bonneville Power Administration (BPA), Southern California Edison (SCE), and Electric Power Research Institute (EPRI) Solutions tested 27 residential air-conditioning units to assess their response to delayed voltage recovery transients. After completing these tests, different modeling approaches were proposed, among them a performance modeling approach that proved to be one of the three favored for its simplicity and ability to recreate different SVR events satisfactorily. Funded by the California Energy Commission (CEC) under its load modeling project, researchers at Pacific Northwest National Laboratory (PNNL) led the follow-on task to analyze the motor testing data to derive the parameters needed to develop a performance models for the single-phase air-conditioning (SPAC) unit. To derive the performance model, PNNL researchers first used the motor voltage and frequency ramping test data to obtain the real (P) and reactive (Q) power versus voltage (V) and frequency (f) curves. Then, curve fitting was used to develop the P-V, Q-V, P-f, and Q-f relationships for motor running and stalling states. The resulting performance model ignores the dynamic response of the air-conditioning motor. Because the inertia of the air-conditioning motor is very small (H<0.05), the motor reaches from one steady state to another in a few cycles. So, the performance model is a fair representation of the motor behaviors in both running and stalling states.
Network model of human language
Markosova, Maria
2007-01-01T23:59:59.000Z
The phenomenon of human language is widely studied from various points of view. It is interesting not only for social scientists, antropologists or philosophers, but also for those, interesting in the network dynamics. In several recent papers word web, or language as a graph has been investigated. In this paper I revise recent studies of syntactical word web. I present a model of growing network in which such processes as node addition, edge rewiring and new link creation are taken into account. I argue, that this model is a satisfactory minimal model explaining measured data.
Introduction to Holographic Superconductor Models
Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang
2015-03-12T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Zwanziger, Daniel [Physics Department, New York University, New York, NY 10003 (United States)
2011-05-23T23:59:59.000Z
A simple model is presented that describes the free energy W(J) of QCD coupled to an external current that is a single plane wave, J(x) = H cos(k{center_dot}x). The model satisfies a bound obtained previously on W(J) that comes from the Gribov horizon. If one uses this model to fit recent lattice data--which give for the gluon propagator D(k) a non-zero value, D(0){ne}0, at k = 0--the data favor a non-analyticity in W(J).
Introduction to Holographic Superconductor Models
Rong-Gen Cai; Li Li; Li-Fang Li; Run-Qiu Yang
2015-05-07T23:59:59.000Z
In the last years it has been shown that some properties of strongly coupled superconductors can be potentially described by classical general relativity living in one higher dimension, which is known as holographic superconductors. This paper gives a quick and introductory overview of some holographic superconductor models with s-wave, p-wave and d-wave orders in the literature from point of view of bottom-up, and summarizes some basic properties of these holographic models in various regimes. The competition and coexistence of these superconductivity orders are also studied in these superconductor models.
Fracture model for cemented aggregates
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Zubelewicz, Aleksander; Thompson, Darla G.; Ostoja-Starzewski, Martin; Ionita, Axinte; Shunk, Devin; Lewis, Matthew W.; Lawson, Joe C.; Kale, Sohan; Koric, Seid
2013-01-01T23:59:59.000Z
A mechanisms-based fracture model applicable to a broad class of cemented aggregates and, among them, plastic-bonded explosive (PBX) composites, is presented. The model is calibrated for PBX 9502 using the available experimental data under uniaxial compression and tension gathered at various strain rates and temperatures. We show that the model correctly captures inelastic stress-strain responses prior to the load peak and it predicts the post-critical macro-fracture processes, which result from the growth and coalescence of micro-cracks. In our approach, the fracture zone is embedded into elastic matrix and effectively weakens the material's strength along the plane of the dominant fracture.
Solar spectral measurements and modeling
Bird, R.E.; Hulstrom, R.L.
1981-01-01T23:59:59.000Z
A newly developed spectroradiometer for routine measurement of the solar spectra is described. This instrument measures the solar spectrum between 300 and 2500 nm in less than 2.5 min, with 0.7-nm resolution in the visible and 10-nm resolution in the infrared. Many examples of global, direct, and diffuse spectra are illustrated for Bedford, Mass. and Golden, Colo. The effects of air mass, turbidity, and sun tracking on the spectrum are presented, and radiative transfer modeling capabilities and comparisons between models and between models and experiment are discussed.
A model of nonlinear electrodynamics
S. I. Kruglov
2014-12-02T23:59:59.000Z
A new model of nonlinear electrodynamics with two parameters is investigated. We also consider a model with one dimensional parameter. It was shown that the electric field of a point-like charge is not singular at the origin and there is the finiteness of the static electric energy of point-like charged particle. We obtain the canonical and symmetrical Belinfante energy-momentum tensors and dilatation currents. It is demonstrated that the dilatation symmetry and dual symmetry are broken in the models suggested. We have calculated the static electric energy of point-like particles.
Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)
Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.
2014-05-01T23:59:59.000Z
This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.
Del Moral , Pierre
Some motivations Feynman-Kac models Some modeling recipes Some references Feynman-Kac particle;Some motivations Feynman-Kac models Some modeling recipes Some references Outline 1 Some motivations particle methods 3 Some modeling recipes Interacting sampling technique (a brief reminder) A direct
Ribot, Magali
Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Some issues in the modeling of movement of cells : chemotaxis, biofilms, algae, etc... Magali Ribot;Hyperbolic chemotaxis Hyperbolic chemotaxis on networks Models for biofilms Models for algae Hyperbolic
PASTE 2004 Page 1 June 2004 ""Model CheckingModel Checking"" Software withSoftware with
Rajamani, Sriram K.
PASTE 2004 Page 1 June 2004 ""Model CheckingModel Checking"" Software withSoftware with Patrice;PASTE 2004 Page 2 June 2004 ""Model CheckingModel Checking"" · Model Checking = systematic state deadlock Each component is modeled by a FSM. #12;PASTE 2004 Page 3 June 2004 Model Checking of Software
Lee, S; Richard Dimenna, R; David Tamburello, D
2008-11-13T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank with one to four dual-nozzle jet mixers located within the tank. The typical criteria to establish a mixed condition in a tank are based on the number of pumps in operation and the time duration of operation. To ensure that a mixed condition is achieved, operating times are set conservatively long. This approach results in high operational costs because of the long mixing times and high maintenance and repair costs for the same reason. A significant reduction in both of these costs might be realized by reducing the required mixing time based on calculating a reliable indicator of mixing with a suitably validated computer code. The work described in this report establishes the basis for further development of the theory leading to the identified mixing indicators, the benchmark analyses demonstrating their consistency with widely accepted correlations, and the application of those indicators to SRS waste tanks to provide a better, physically based estimate of the required mixing time. Waste storage tanks at SRS contain settled sludge which varies in height from zero to 10 ft. The sludge has been characterized and modeled as micron-sized solids, typically 1 to 5 microns, at weight fractions as high as 20 to 30 wt%, specific gravities to 1.4, and viscosities up to 64 cp during motion. The sludge is suspended and mixed through the use of submersible slurry jet pumps. To suspend settled sludge, water is added to the tank as a slurry medium and stirred with the jet pump. Although there is considerable technical literature on mixing and solid suspension in agitated tanks, very little literature has been published on jet mixing in a large-scale tank. If shorter mixing times can be shown to support Defense Waste Processing Facility (DWPF) or other feed requirements, longer pump lifetimes can be achieved with associated operational cost and schedule savings. The focus of the present work is to establish mixing criteria associated with the waste processing at SRS and to quantify the mixing time required to suspend sludge particles with the submersible jet pump. Literature results for a turbulent jet flow are reviewed briefly, since the decay of the axial jet velocity and the evolution of the jet flow patterns are important phenomena affecting sludge suspension and mixing operations. One of the main objectives in the waste processing is to provide the DWPF a uniform slurry composition at a certain weight percentage (typically {approx}13 wt%) over an extended period of time. In preparation of the sludge for slurrying to DWPF, several important questions have been raised with regard to sludge suspension and mixing of the solid suspension in the bulk of the tank: (1) How much time is required to prepare a slurry with a uniform solid composition for DWPF? (2) How long will it take to suspend and mix the sludge for uniform composition in any particular waste tank? (3) What are good mixing indicators to answer the questions concerning sludge mixing stated above in a general fashion applicable to any waste tank/slurry pump geometry and fluid/sludge combination? Grenville and Tilton (1996) investigated the mixing process by giving a pulse of tracer (electrolyte) through the submersible jet nozzle and by monitoring the conductivity at three locations within the cylindrical tank. They proposed that the mixing process was controlled by the turbulent kinetic energy dissipation rate in the region far away from the jet entrance. They took the energy dissipation rates in the regions remote from the nozzle to be proportional to jet velocity and jet diameter at that location. The reduction in the jet velocity was taken to be proportional to the nozzle velocity and distance from the nozzle. Based on their analysis, a correlation was proposed. The proposed correlation was shown to be valid over a wide range of Reynolds numbers (50,000 to 300,000) with a relative standard deviation of {+-} 11.83%. An improved correlat
Modeling the Clustering of Objects
E. Salvador-Sole
1995-12-07T23:59:59.000Z
I review the main steps made so far towards the construction of a (semi) analytical model for describing the growth history of bound virialized objects or haloes in the gravitational instability scenario. I mainly focus on those models relying on the spherical collapse approximation which have led to the most complete description. I insist on the different assumptions of each model and outline their main advantages and shortcomings. The work is divided in two parts: a first one dealing with the theoretical mass function of objects, and a second one dealing with the typical growth times and rates. Particular attention is paid to a new model making the practical distinction between accretion and merger events.
EMMA: Electromechanical Modeling in ALEGRA
NONE
1996-12-31T23:59:59.000Z
To ensure high levels of deterrent capability in the 21st century, new stockpile stewardship principles are being embraced at Sandia National Laboratories. The Department of Energy Accelerated Strategic Computing Initiative (ASCI) program is providing the computational capacity and capability as well as funding the system and simulation software infrastructure necessary to provide accurate, precise and predictive modeling of important components and devices. An important class of components require modeling of piezoelectric and ferroceramic materials. The capability to run highly resolved simulations of these types of components on the ASCI parallel computers is being developed at Sandia in the ElectroMechanical Modeling in Alegra (EMMA) code. This a simulation capability being developed at Sandia National Laboratories for high-fidelity modeling of electromechanical devices. these devices can produce electrical current arising from material changes due to shock impact or explosive detonation.
Causal diagrams for physical models
Kinsler, Paul
2015-01-01T23:59:59.000Z
I present a scheme of drawing causal diagrams based on physically motivated mathematical models expressed in terms of temporal differential equations. They provide a means of better understanding the processes and causal relationships contained within such systems.
Modeling & Optimization An ABB Speciality
generation; transmission systems and substations; network management Low-voltage products; contactors, soft, 2009 | Slide 11 #12;Steps to Achieve Advanced Control / Optimization Build process model: First principle (White Box) Black box Grey box Design controller / optimizer / product Engineer / implement
Copula Based Hierarchical Bayesian Models
Ghosh, Souparno
2010-10-12T23:59:59.000Z
. Finally, we take up the important problem of modeling multivariate extreme values with copulas. We describe, in detail, how dependences can be induced in the block maxima approach and peak over threshold approach by an extreme value copula. We prove...
Multiscale modeling in granular flow
Rycroft, Christopher Harley
2007-01-01T23:59:59.000Z
Granular materials are common in everyday experience, but have long-resisted a complete theoretical description. Here, we consider the regime of slow, dense granular flow, for which there is no general model, representing ...
Sandia National Laboratories: Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
to address the most challenging and demanding climate-change issues. Accelerated Climate Modeling for Energy (ACME) is designed to accel-erate the development and applica-tion of...
Model Wind Energy Facility Ordinance
Broader source: Energy.gov [DOE]
Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative...
Assistant Professor Agricultural Systems Modeler
Veiga, Pedro Manuel Barbosa
Assistant Professor Agricultural Systems Modeler Department of Plant and Soil Sciences Division of Agricultural Sciences and Natural Resources Oklahoma State University Stillwater, Oklahoma POSITION DESCRIPTION The Department of Plant and Soil Sciences, Oklahoma State University is seeking applicants
Valence Bond States: Link models
E. Rico; R. Hübener; S. Montangero; N. Moran; B. Pirvu; J. Vala; H. J. Briegel
2009-08-07T23:59:59.000Z
An isotropic anti-ferromagnetic quantum state on a square lattice is characterized by symmetry arguments only. By construction, this quantum state is the result of an underlying valence bond structure without breaking any symmetry in the lattice or spin spaces. A detailed analysis of the correlations of the quantum state is given (using a mapping to a 2D classical statistical model and methods in field theory like mapping to the non-linear sigma model or bosonization techniques) as well as the results of numerical treatments (regarding exact diagonalization and variational methods). Finally, the physical relevance of the model is motivated. A comparison of the model to known anti-ferromagnetic Mott-Hubbard insulators is given by means of the two-point equal-time correlation function obtained i) numerically from the suggested state and ii) experimentally from neutron scattering on cuprates in the anti-ferromagnetic insulator phase.
toolkit computational mesh conceptual model.
Baur, David G.; Edwards, Harold Carter; Cochran, William K.; Williams, Alan B.; Sjaardema, Gregory D.
2010-03-01T23:59:59.000Z
The Sierra Toolkit computational mesh is a software library intended to support massively parallel multi-physics computations on dynamically changing unstructured meshes. This domain of intended use is inherently complex due to distributed memory parallelism, parallel scalability, heterogeneity of physics, heterogeneous discretization of an unstructured mesh, and runtime adaptation of the mesh. Management of this inherent complexity begins with a conceptual analysis and modeling of this domain of intended use; i.e., development of a domain model. The Sierra Toolkit computational mesh software library is designed and implemented based upon this domain model. Software developers using, maintaining, or extending the Sierra Toolkit computational mesh library must be familiar with the concepts/domain model presented in this report.
Statistical Performance Modeling of SRAMs
Zhao, Chang
2011-02-22T23:59:59.000Z
to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...
A supersymmetric model for graphene
Everton M. C. Abreu; Marco A. De Andrade; Leonardo P. G. de Assis; Jose A. Helayel-Neto; A. L. M. A. Nogueira; Ricardo C. Paschoal
2014-07-21T23:59:59.000Z
In this work, we focus on the fermionic structure of the low-energy excitations of graphene (a monolayer of carbon atoms) to propose a new supersymmetric field-theoretic model for this physical system. In the current literature, other proposals for describing graphene physics have been contemplated at the level of supersymmetric quantum mechanics. Also, by observing the inhomogeneities between neighbor carbon atoms, Jackiw {\\it et al.} have set up an interesting chiral Abelian gauge theory. We show in this paper that our formulation encompasses models discussed previously as sectors of an actually richer (supersymmetric) planar gauge model. Possible interpretations for the fields involved in the present graphene model are proposed and the question of supersymmetry breaking is discussed.
Constitutive modeling of active polymers
Therkelsen, Scott V. (Scott Vincent), 1980-
2005-01-01T23:59:59.000Z
This thesis develops a three-dimensional constitutive model of active polymeric materials, including changes in material volume and properties due to actuation. Active polymers reversibly change shape, volume and/or material ...
14.461 Advanced Macroeconomics I, Fall 2009
Lorenzoni, Guido
This course covers three sets of topics. The first part will cover business cycle models with imperfect information. We will ask questions such as: What shocks drive business cycles? What is the relative role of shocks to ...
4, 43254360, 2007 Comparing model
Paris-Sud XI, Université de
HESSD 4, 43254360, 2007 Comparing model performance in the Rhine basin A. H. te Linde et al. Title different atmospheric forcing data sets A. H. te Linde 1 , J. C. J. H. Aerts 1 , R. T. W. L. Hurkmans 2 Correspondence to: A. H. te Linde (aline.te.linde@ivm.vu.nl) 4325 #12;HESSD 4, 43254360, 2007 Comparing model
The Collapsar and Supranova Models
Charles D. Dermer
2004-04-30T23:59:59.000Z
This rapporteur review summarizes results presented in Parallel Session GBT2 (Gamma Ray Burst Theory 2) on the Collapsar and Supranova Models held 25 July 2003 at the 10th Marcel Grossmann Meeting on General Relativity, Rio de Janeiro, Brazil. A central issue in GRB studies is the process whereby energy is released from the GRB engine. One scenario is the collapsar model, where the evolved stellar core promptly collapses to a black hole surrounded by a massive, intermittently-accreting torus of nuclear density material. A second scenario is the supranova model, where the first step of a two-step collapse process leaves behind a rapidly rotating neutron star stabilized by rotation, which later collapses to a black hole while making the GRB. In the supranova model, a powerful pulsar wind lasting days to weeks after the supernova makes distinctive signatures from the heating of the supernova remnant (SNR) shell, which should be discovered with Swift. This model also predicts nonstandard reddened excesses from the cooling SNR due to the range of delays between the two collapse events, contrary to observations of SN emissions from low redshift GRBs which favor the collapsar model. The observational basis for both models is critically reviewed. An outline of a GRB model is proposed where the second collapse takes place within minutes to hours after the primary SN event, during which time loss of centrifugal support along the rotation axis of the neutron star provides a relatively baryon-clean polar environment along which a newly formed, rapidly spinning black hole drives collimated baryon-dilute outflows.
Physics Beyond the Standard Model
Howard Baer
2009-08-19T23:59:59.000Z
I present a brief overview of some exciting possibilities for physics Beyond the Standard Model. I include short discussions of neutrino physics, the strong CP problem and axions, GUTs, large and warped extra dimensions, Little Higgs models and supersymmetry. The chances appear excellent that in the next few years-- as the LHC era gets underway-- data from a bevy of experiments will point the way to a new paradigm for the laws of physics as we know them.
Two-dimensional river modeling
Thompson, James Cameron
1988-01-01T23:59:59.000Z
: Civil Engineering TWO-DIMENSIONAL RIVER MODELING A Thesis by JAMES CAMERON THOMPSON Approved as to style and content by: Wesl (Co-Chair J f C mittee) alph A. Wurbs (Co-Chair of Committee) R. 0. Reid (Member) ames . . Yao (Head of D rtment... flow conditions. This thesis investigates the application of a recently developed two- dimensional river model system. The microcomputer version of FESWMS-2DH was developed for the Federal Highway Administration by the U. S. Geological Survey. Four...
Modelling of friction stir welding
Colegrove, Paul Andrew
is influenced by the fractUling of the tungsten wire. Finally, Nowak et al. 85 examined the flow during the FSW of polycarbonate and found similar flow fields to those observed in aluminium. Because of polycarbonate's different properties it was necessary... is conducted into the tool and welded material, and is then convected from the top surface or conducted into the backing plate. Both analytical and numerical models have been used to describe this heat flow. The following section describes thermal modelling...
Spacetime model with superluminal phenomena
T. Matolcsi; W. A. Rodrigues Jr
1996-06-12T23:59:59.000Z
recent theoretical results show the existence of arbitrary speeds ($0\\leq v <\\infty$) solutions of the wave equations of mathematical physics. Some recent experiments confirm the results for sound waves. The question arises naturally: What is the appropriate spacetime model to describe superluminal phenomena? In this paper we present a spacetime model that incorporates the valid results of Relativity Theory and yet describes coherently superluminal phenomena without paradoxes.
MODELING OF MULTIVARIATE INTERACTIONS THROUGH THEIR MANIFESTATIONS AND LOW DIMENSIONAL MODEL
Cirpka, Olaf Arie
MODELING OF MULTIVARIATE INTERACTIONS THROUGH THEIR MANIFESTATIONS AND LOW DIMENSIONAL MODEL, of which mutual information 1 #12;MODELING OF MULTIVARIATE INTERACTIONS 2 is one particular case
Kammen, Daniel M.
, Berkeley. SWITCH Model Description 1. Study Years, Months, Dates and Hours To simulate power system1 SWITCH Model AND Data Description: 2050 Timeframe................................................ 2 SWITCH Model Description
Multiscale Modeling of Hematologic Disorders
Fedosov, Dmitry A.; Pivkin, Igor; Pan, Wenxiao; Dao, Ming; Caswell, Bruce; Karniadakis, George E.
2012-01-28T23:59:59.000Z
Parasitic infectious diseases and other hereditary hematologic disorders are often associated with major changes in the shape and viscoelastic properties of red blood cells (RBCs). Such changes can disrupt blood flow and even brain perfusion, as in the case of cerebral malaria. Modeling of these hematologic disorders requires a seamless multiscale approach, where blood cells and blood flow in the entire arterial tree are represented accurately using physiologically consistent parameters. In this chapter, we present a computational methodology based on dissipative particle dynamics (DPD) which models RBCs as well as whole blood in health and disease. DPD is a Lagrangian method that can be derived from systematic coarse-graining of molecular dynamics but can scale efficiently up to small arteries and can also be used to model RBCs down to spectrin level. To this end, we present two complementary mathematical models for RBCs and describe a systematic procedure on extracting the relevant input parameters from optical tweezers and microfluidic experiments for single RBCs. We then use these validated RBC models to predict the behavior of whole healthy blood and compare with experimental results. The same procedure is applied to modeling malaria, and results for infected single RBCs and whole blood are presented.
Documentation for a Model: A Hierarchical Approach
Hoffman, Karla
of Energy (DOE). In 1979 we provided a third party I assessment of a large-scale forecast model2of oil words and phrases: model documenta- tion, model evaluation and assessment, policy model utility CR. The authors discuss the role of models in the policy process and of documentation in the assessment
Applications to Computer Closed Network Model
Shihada, Basem
Â· Suitable for modeling "virtual circuit" (VC) ith i d fl t lwith window flow control Â· Data sources/sinks are modeled explicitly 2 #12;Model of a VC with Window Flow Control 3 Model of a VC with Window Flow Control packets are individually acknowledged 4 #12;Model of a VC with Window Flow Control Â· A customer entering
COMPASS Model Review Draft February 29, 2008
Washington at Seattle, University of
COMPASS Model Review Draft February 29, 2008 Page i Comprehensive Passage (COMPASS) Model version 1.1 Review DRAFT February 2008 #12;COMPASS Model Review Draft February 29, 2008 Page ii Table-Bonneville survival 8c. Prospective hydrological modeling Appendix 9. Sensitivity analyses #12;COMPASS Model Review
Inference for Model Error Allan Seheult
Oakley, Jeremy
Reservoirs, Model Error, Reification, Thermohaline Circulation. 1 Introduction Mathematical models of complex that the uncertainties associated with both calibrating a mathematical model to observations on a physical system specification exercise of model error with the cosmologists, linked to an extensive analysis of model
Reduced models of algae growth Heikki Haario,
Bardsley, John
Reduced models of algae growth Heikki Haario, Leonid Kalachev Marko Laine, Lappeenranta University of the phenomena studied. Here, in the case of algae growth modelling, we show how a systematic model reduction may: Algae growth modelling, asymptotic methods, model reduction, MCMC, Adaptive Markov chain Monte Carlo. 1
Conventional regression models Auto-generated units
McCullagh, Peter
Conventional regression models Auto-generated units Consequences of auto-generation Inference regression models Auto-generated units Consequences of auto-generation Inference and prediction Outline 1 Conventional regression models Gaussian models Binary regression model Attenuation of treatment effect Problems
Conventional regression models Auto-generated units
McCullagh, Peter
Conventional regression models Auto-generated units Consequences of auto-generation Arguments pro-generated units #12;Conventional regression models Auto-generated units Consequences of auto-generation Arguments pro and con Outline 1 Conventional regression models Gaussian models Binary regression model
Conventional regression models Auto-generated units
McCullagh, Peter
Conventional regression models Auto-generated units Consequences of auto-generation Inference Royal Statistical Society Feb 6, 2008 Peter McCullagh Auto-generated units #12;Conventional regression Conventional regression models Gaussian models Binary regression model Properties of regression models Problems
The Potosi Reservoir Model 2013c, Property Modeling Update
Adushita, Yasmin; Smith, Valerie; Leetaru, Hannes
2014-09-30T23:59:59.000Z
As part of a larger project co-funded by the United States Department of Energy (US DOE) to evaluate the potential of formations within the Cambro-Ordovician strata above the Mt. Simon as potential targets for carbon sequestration in the Illinois and Michigan Basins, the Illinois Clean Coal Institute (ICCI) requested Schlumberger to evaluate the potential injectivity and carbon dioxide (CO2) plume size of the Cambrian Potosi Formation. The evaluation of this formation was accomplished using wireline data, core data, pressure data, and seismic data from this project as well as two other separately funded projects: the US DOE-funded Illinois Basin–Decatur Project (IBDP) being conducted by the Midwest Geological Sequestration Consortium (MGSC) in Macon County, Illinois, and the Illinois Industrial Carbon Capture and Sequestration (ICCS) project funded through the American Recovery and Reinvestment Act. In 2010, technical performance evaluations on the Cambrian Potosi Formation were performed through reservoir modeling. The data included formation tops from mud logs, well logs from the Verification Well #1 (VW1) and the Injection Well (CCS1), structural and stratigraphic formation from three dimensional (3D) seismic data, and field data from several waste water injection wells for Potosi Formation. The intention was for 2.2 million tons per annum (2 million tonnes per annum [MTPA]) of CO2 to be injected for 20 years. In the Task Error! Reference source not found., the 2010 Potosi heterogeneous model (referred to as the "Potosi Dynamic Model 2010") was re-run using a new injection scenario of 3.5 million tons per annum (3.2 MTPA) for 30 years. The extent of the Potosi Dynamic Model 2010, however, appeared too small for the new injection target. The models size was insufficient to accommodate the evolution of the plume. The new model, Potosi Dynamic Model 2013a, was built by extending the Potosi Dynamic Model 2010 grid to 30 by 30 mi (48 by 48 km), while preserving all property modeling workflows and layering. This model was retained as the base case. In the preceding Task [1], the Potosi reservoir model was updated to take into account the new data from the Verification Well #2 (VW2) which was drilled in 2012. The porosity and permeability modeling was revised to take into account the log data from the new well. Revisions of the 2010 modeling assumptions were also done on relative permeability, capillary pressures, formation water salinity, and the maximum allowable well bottomhole pressure. Dynamic simulations were run using the injection target of 3.5 million tons per annum (3.2 MTPA) for 30 years. This dynamic model was named Potosi Dynamic Model 2013b. In this Task, a new property modeling workflow was applied, where seismic inversion data guided the porosity mapping and geobody extraction. The static reservoir model was fully guided by PorosityCube interpretations and derivations coupled with petrophysical logs from three wells. The two main assumptions are: porosity features in the PorosityCube that correlate with lost circulation zones represent vugular zones, and that these vugular zones are laterally continuous. Extrapolation was done carefully to populate the vugular facies and their corresponding properties outside the seismic footprint up to the boundary of the 30 by 30 mi (48 by 48 km) model. Dynamic simulations were also run using the injection target of 3.5 million tons per annum (3.2 MTPA) for 30 years. This new dynamic model was named Potosi Dynamic Model 2013c. Reservoir simulation with the latest model gives a cumulative injection of 43 million tons (39 MT) in 30 years with a single well, which corresponds to 40% of the injection target. The injection rate is approx. 3.2 MTPA in the first six months as the well is injecting into the surrounding vugs, and declines rapidly to 1.8 million tons per annum (1.6 MTPA) in year 3 once the surrounding vugs are full and the CO2 start to reach the matrix. After, the injection rate declines gradually to 1.2 million tons per annum (1.1 MTPA) in year 18 and stays consta
Lee, S.
2011-05-17T23:59:59.000Z
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.
Modeling of pulsating heat pipes.
Givler, Richard C.; Martinez, Mario J.
2009-08-01T23:59:59.000Z
This report summarizes the results of a computer model that describes the behavior of pulsating heat pipes (PHP). The purpose of the project was to develop a highly efficient (as compared to the heat transfer capability of solid copper) thermal groundplane (TGP) using silicon carbide (SiC) as the substrate material and water as the working fluid. The objective of this project is to develop a multi-physics model for this complex phenomenon to assist with an understanding of how PHPs operate and to be able to understand how various parameters (geometry, fill ratio, materials, working fluid, etc.) affect its performance. The physical processes describing a PHP are highly coupled. Understanding its operation is further complicated by the non-equilibrium nature of the interplay between evaporation/condensation, bubble growth and collapse or coalescence, and the coupled response of the multiphase fluid dynamics among the different channels. A comprehensive theory of operation and design tools for PHPs is still an unrealized task. In the following we first analyze, in some detail, a simple model that has been proposed to describe PHP behavior. Although it includes fundamental features of a PHP, it also makes some assumptions to keep the model tractable. In an effort to improve on current modeling practice, we constructed a model for a PHP using some unique features available in FLOW-3D, version 9.2-3 (Flow Science, 2007). We believe that this flow modeling software retains more of the salient features of a PHP and thus, provides a closer representation of its behavior.
Medion:The "Orchestrator" Business Model
Ordanini, Andrea; Dedrick, Jason; Kraemer, Kenneth L
2006-01-01T23:59:59.000Z
a strongly atypical business model in the PC value chain. Itwas able to execute this business model with flexibility,is to analyze Medion’s business model in detail, in order to
Modeling of Residential Attics with Radiant Barriers
Wilkes, K. E.
1988-01-01T23:59:59.000Z
This paper gives a summary of the efforts at ORNL in modeling residential attics with radiant barriers. Analytical models based on a system of macroscopic heat balances have been developed. Separate models have been developed for horizontal radiant...
HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA
Johansson, Karl Henrik
HYBRID MODELING OF COMMUNICATION NETWORKS USING MODELICA Daniel F¨arnqvist Katrin Strandemar and simulation of communication networks using the modeling language Modelica are discussed. Congestion control model, that Modelica provides an efficient platform for the analysis of communication networks
Modeling Texture Evolution during Recrystallization in Aluminum
Rollett, Anthony D.
Modeling Texture Evolution during Recrystallization in Aluminum Abhijit Brahme1,2 , Joseph Fridy3, Aluminum, Grain Boundary Mobility, Nucleation, Oriented Growth, Oriented Nucleation, Stored Energy, Monte Carlo Modeling. #12;Modeling Texture Evolution during Recrystallization in Aluminum 2 1. Introduction
Unit 045 - Non-Spatial Database Models
045, CC in GIScience; Meyer, Thomas H.
2000-01-01T23:59:59.000Z
25 Unit 045 - Non-Spatial Database Models Core Curriculum -26 Unit 045 - Non-Spatial Database Models Core Curriculum -27 Unit 045 - Non-Spatial Database Models Core Curriculum -
Unit 11 - Spatial Objects and Database Models
Unit 11, CC in GIS; Nyerges, Timothy L.
1990-01-01T23:59:59.000Z
Spatial Objects and Database Models NCGIA Core Curriculum inSpatial Objects and Database Models NCGIA Core Curriculum inSpatial Objects and Database Models NCGIA Core Curriculum in
Modelling the Evolution of Communication Systems
Spike, Matthew John
2012-11-28T23:59:59.000Z
An framework using exemplar theory is used to recreate a number of published models of the evolution of communication. This is then used to examine the mechanics behind models of observational, feedback and reinforcement learning. A Pólya urn model...
Transtheoretical Model of Change with couples
Schneider, William Joel
2004-09-30T23:59:59.000Z
The Transtheoretical Model of Change is intended to be a general model of change that can be applied to many populations and domains of change. However, most of the studies that have investigated this model have focused ...
A Model Graphene Diffraction Pattern Frank Rioux
Rioux, Frank
A Model Graphene Diffraction Pattern Frank Rioux The purpose of this tutorial is to model graphene d Pj k px j py k 2 i 1 A Graphene Model Diffraction Pattern #12;
COLLEGE OF SCIENCE Computational Modeling & Data Analytics
Crawford, T. Daniel
COLLEGE OF SCIENCE Computational Modeling & Data Analytics COLLEGE OF SCIENCE Computational Modeling & Data Analytics The Bachelor of Science in Computational Modeling and Data Analytics (CMDA mathematics. It imparts the unique blend of skills from Statistics, Mathematics, and Computer Science needed
Gas ejector modeling for design and analysis
Liao, Chaqing
2009-05-15T23:59:59.000Z
A generalized ejector model was successfully developed for gas ejector design and performance analysis. Previous 1-D analytical models can be derived from this new comprehensive model as particular cases. For the first ...
STRUCTURED TEXT RETRIEVAL MODELS Djoerd Hiemstra
Hiemstra, Djoerd
and manipulating content and hierarchical structure such as the parsed strings model [10], PAT expressions [15STRUCTURED TEXT RETRIEVAL MODELS Djoerd Hiemstra University of Twente http DEFINITION Structured text retrieval models provide a formal definition or mathematical framework
Sandia Energy - PV Reliability & Performance Model
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Model PV Reliability & Performance ModelTara Camacho-Lopez2015-06-01T20:13:00+00:00 This Web Demo model is a simplified "player" version of the Photovoltaic Reliability Performance...
``Climate Modelling & Global Change'' scientific report 1 ``Climate Modelling & Global Change'' Team
``Climate Modelling & Global Change'' scientific report 1 ``Climate Modelling & Global Change of the ``Climate Modelling & Global Change'' Team 22 9.1 Journals rewarding for the ``Climate Modelling & Global Change'' team. The long term investments in scientific
Interacting Multiple Model Kalman Filters (IMMKF) Interacting Multiple Model Kalman Filters
Williams, Brian C.
Interacting Multiple Model Kalman Filters (IMMKF) Interacting Multiple Model Kalman Filters (IMMKF R.Q.A. Santana Interacting Multiple Model Kalman Filters (IMMKF) #12;Interacting Multiple Model Kalman Filters (IMMKF) Sumário 1 Introdução Abordagens de múltiplos modelos Introdução ao Interacting
Farquharson, Colin G.
Comparison of integral equation and physical scale modelling of the electromagnetic response history of EM numerical modelling in geophysics. Â· Another integral equation modelling program;Introduction: a brief history Â· Two main approaches to numerical modelling: integral equation; finite
Automated inter-model parameter connection synthesis for simulation model integration
Ligon, Thomas (Thomas Crumrine)
2007-01-01T23:59:59.000Z
New simulation modeling environments have been developed such that multiple models can be integrated into a single model. This conglomeration of model data allows designers to better understand the physical phenomenon being ...
Grothey, Andreas
Optimization Modelling Example Design Implementation Conclusions A Structure-Conveying Modelling Languages for Mathematical Programming 3 An example problem from network design 4 Design of Structured, K. Woodsend Structure-Conveying Modelling Language #12;Optimization Modelling Example Design
PlatformIndependentModel(PIM)and PlatformSpecificModel(PSM)for
Suzuki, Jun
PlatformIndependentModel(PIM)and PlatformSpecificModel(PSM)for Super Catalog. OMGAdoptedSpecification dtc/03-09-01 #12;#12;PlatformIndependentModel(PIM)and PlatformSpecificModel(PSM
The Collapsar and Supranova Models
Dermer, C D
2004-01-01T23:59:59.000Z
This rapporteur review summarizes results presented in Parallel Session GBT2 (Gamma Ray Burst Theory 2) on the Collapsar and Supranova Models held 25 July 2003 at the 10th Marcel Grossmann Meeting on General Relativity, Rio de Janeiro, Brazil. A central issue in GRB studies is the process whereby energy is released from the GRB engine. One scenario is the collapsar model, where the evolved stellar core promptly collapses to a black hole surrounded by a massive, intermittently-accreting torus of nuclear density material. A second scenario is the supranova model, where the first step of a two-step collapse process leaves behind a rapidly rotating neutron star stabilized by rotation, which later collapses to a black hole while making the GRB. In the supranova model, a powerful pulsar wind lasting days to weeks after the supernova makes distinctive signatures from the heating of the supernova remnant (SNR) shell, which should be discovered with Swift. This model also predicts nonstandard reddened excesses from th...
Models of random graph hierarchies
Paluch, Robert; Holyst, Janusz
2015-01-01T23:59:59.000Z
We introduce two models of inclusion hierarchies: Random Graph Hierarchy (RGH) and Limited Random Graph Hierarchy (LRGH). In both models a set of nodes at a given hierarchy level is connected randomly, as in the Erd\\H{o}s-R\\'{e}nyi random graph, with a fixed average degree equal to a system parameter $c$. Clusters of the resulting network are treated as nodes at the next hierarchy level and they are connected again at this level and so on, until the process cannot continue. In the RGH model we use all clusters, including those of size $1$, when building the next hierarchy level, while in the LRGH model clusters of size $1$ stop participating in further steps. We find that in both models the number of nodes at a given hierarchy level $h$ decreases approximately exponentially with $h$. The height of the hierarchy $H$, i.e. the number of all hierarchy levels, increases logarithmically with the system size $N$, i.e. with the number of nodes at the first level. The height $H$ decreases monotonically with the conne...
The Potosi Reservoir Model 2013
Adushita, Yasmin; Smith, Valerie; Leetaru, Hannes
2014-09-30T23:59:59.000Z
As a part of a larger project co-funded by the United States Department of Energy (US DOE) to evaluate the potential of formations within the Cambro-Ordovician strata above the Mt. Simon as potential targets for carbon sequestration in the Illinois and Michigan Basins, the Illinois Clean Coal Institute (ICCI) requested Schlumberger to evaluate the potential injectivity and carbon dioxide (CO2) plume size of the Cambrian Potosi Formation. The evaluation of this formation was accomplished using wireline data, core data, pressure data, and seismic data from the US DOE-funded Illinois Basin–Decatur Project (IBDP) being conducted by the Midwest Geological Sequestration Consortium in Macon County, Illinois. In 2010, technical performance evaluations on the Cambrian Potosi Formation were performed through reservoir modeling. The data included formation tops from mud logs, well logs from the VW1 and the CCS1 wells, structural and stratigraphic formation from three dimensional (3D) seismic data, and field data from several waste water injection wells for Potosi Formation. Intention was for two million tons per annum (MTPA) of CO2 to be injected for 20 years. In the preceding, the 2010 Potosi heterogeneous model (referred to as the "Potosi Dynamic Model 2010" in this topical report) was re-run using a new injection scenario; 3.2 MTPA for 30 years. The extent of the Potosi Dynamic Model 2010, however, appeared too small for the new injection target. It was not sufficiently large enough to accommodate the evolution of the plume. The new model, Potosi Dynamic Model 2013a, was built by extending the Potosi Dynamic Model 2010 grid to 30 miles x 30 miles (48.3km x48.3km), while preserving all property modeling workflows and layering. This model was retained as the base case of Potosi Dynamic Model 2013a. The Potosi reservoir model was updated to take into account the new data from the verification well VW2 which was drilled in 2012. The new porosity and permeability modeling was performed to take into account the log data from the new well. Revisions of the 2010 modeling assumptions were also done on relative permeability, capillary pressures, formation water salinity, and the maximum allowable well bottomhole pressure. Dynamic simulations were run using the injection target of 3.2 MTPA for 30 years. This new dynamic model was named Potosi Dynamic Model 2013b. Due to the major uncertainties on the vugs permeability, two models were built; the Pessimistic and Optimistic Cases. The Optimistic Case assumes vugs permeability of 9,000 mD, which is analog to the vugs permeability identified in the pressure fall off test of a waste water injector in the Tuscola site, approx. 40 miles (64.4km) away from the IBDP area. The Pessimistic Case assumes that the vugs permeability is equal to the log data, which does not take into account the permeability from secondary porosity. The probability of such case is deemed low and could be treated as the worst case scenario, since the contribution of secondary porosity to the permeability is neglected and the loss circulation events might correspond to a much higher permeability. It is considered important, however, to identify the range of possible reservoir performance since there are no rigorous data available for the vugs permeability. The Optimistic Case gives an average CO2 injection rate of 0.8 MTPA and cumulative injection of 26 MT in 30 years, which corresponds to 27% of the injection target. The injection rate is approx. 3.2 MTPA in the first year as the well is injecting into the surrounding vugs, and declines rapidly to 0.8 MTPA in year 4 once the surrounding vugs are full and the CO2 start to reach the matrix. This implies that according to this preliminary model, a minimum of four (4) wells could be required to achieve the injection target. This result is lower than the injectivity estimated in the Potosi Dynamic Model 2013a (43 MT in 30 years), since the permeability model applied in the Potosi Dynamic Model 2013b is more conservative. This revision was deemed necessary to treat the uncerta
Parallel execution model for Prolog
Fagin, B.S.
1987-01-01T23:59:59.000Z
One candidate language for parallel symbolic computing is Prolog. Numerous ways for executing Prolog in parallel have been proposed, but current efforts suffer from several deficiencies. Many cannot support fundamental types of concurrency in Prolog. Other models are of purely theoretical interest, ignoring implementation costs. Detailed simulation studies of execution models are scare; at present little is known about the costs and benefits of executing Prolog in parallel. In this thesis, a new parallel execution model for Prolog is presented: the PPP model or Parallel Prolog Processor. The PPP supports AND-parallelism, OR-parallelism, and intelligent backtracking. An implementation of the PPP is described, through the extension of an existing Prolog abstract machine architecture. Several examples of PPP execution are presented, and compilation to the PPP abstract instruction set is discussed. The performance effects of this model are reported, based on a simulation of a large benchmark set. The implications of these results for parallel Prolog systems are discussed, and directions for future work are indicated.
Modeling and Simulation for Safeguards
Swinhoe, Martyn T. [Los Alamos National Laboratory
2012-07-26T23:59:59.000Z
The purpose of this talk is to give an overview of the role of modeling and simulation in Safeguards R&D and introduce you to (some of) the tools used. Some definitions are: (1) Modeling - the representation, often mathematical, of a process, concept, or operation of a system, often implemented by a computer program; (2) Simulation - the representation of the behavior or characteristics of one system through the use of another system, especially a computer program designed for the purpose; and (3) Safeguards - the timely detection of diversion of significant quantities of nuclear material. The role of modeling and simulation are: (1) Calculate amounts of material (plant modeling); (2) Calculate signatures of nuclear material etc. (source terms); and (3) Detector performance (radiation transport and detection). Plant modeling software (e.g. FACSIM) gives the flows and amount of material stored at all parts of the process. In safeguards this allow us to calculate the expected uncertainty of the mass and evaluate the expected MUF. We can determine the measurement accuracy required to achieve a certain performance.
Separations and safeguards model integration.
Cipiti, Benjamin B.; Zinaman, Owen
2010-09-01T23:59:59.000Z
Research and development of advanced reprocessing plant designs can greatly benefit from the development of a reprocessing plant model capable of transient solvent extraction chemistry. This type of model can be used to optimize the operations of a plant as well as the designs for safeguards, security, and safety. Previous work has integrated a transient solvent extraction simulation module, based on the Solvent Extraction Process Having Interaction Solutes (SEPHIS) code developed at Oak Ridge National Laboratory, with the Separations and Safeguards Performance Model (SSPM) developed at Sandia National Laboratory, as a first step toward creating a more versatile design and evaluation tool. The goal of this work was to strengthen the integration by linking more variables between the two codes. The results from this integrated model show expected operational performance through plant transients. Additionally, ORIGEN source term files were integrated into the SSPM to provide concentrations, radioactivity, neutron emission rate, and thermal power data for various spent fuels. This data was used to generate measurement blocks that can determine the radioactivity, neutron emission rate, or thermal power of any stream or vessel in the plant model. This work examined how the code could be expanded to integrate other separation steps and benchmark the results to other data. Recommendations for future work will be presented.
Reduced models for quantum gravity
T. Thiemann
1999-10-04T23:59:59.000Z
The preceding talks given at this conference have dealt mainly with general ideas for, main problems of and techniques for the task of quantizing gravity canonically. Since one of the major motivations to arrange for this meeting was that it should serve as a beginner's introduction to canonical quantum gravity, we regard it as important to demonstrate the usefulness of the formalism by means of applying it to simplified models of quantum gravity, here formulated in terms of Ashtekar's new variables. From the various, completely solvable, models that have been discussed in the literature we choose those that we consider as most suitable for our pedagogical reasons, namely 2+1 gravity and the spherically symmetric model. The former model arises from a dimensional, the latter from a Killing reduction of full 3+1 gravity. While 2+1 gravity is usually treated in terms of closed topologies without boundary of the initial data hypersurface, the toplogy for the spherically symmetric system is chosen to be asymptotically flat. Finally, 2+1 gravity is more suitably quantized using the loop representation while spherically symmetric gravity is easier to quantize via the self-dual representation. Accordingly, both types of reductions, both types of topologies and both types of representations that are mainly employed in the literature in the context of the new variables come into practice. What makes the discussion especially clear is the fact that for both models the reduced phase space turns out to be finitely dimensional.
String bit models for superstring
Bergman, O.; Thorn, C.B.
1995-12-31T23:59:59.000Z
The authors extend the model of string as a polymer of string bits to the case of superstring. They mainly concentrate on type II-B superstring, with some discussion of the obstacles presented by not II-B superstring, together with possible strategies for surmounting them. As with previous work on bosonic string work within the light-cone gauge. The bit model possesses a good deal less symmetry than the continuous string theory. For one thing, the bit model is formulated as a Galilei invariant theory in (D {minus} 2) + 1 dimensional space-time. This means that Poincare invariance is reduced to the Galilei subgroup in D {minus} 2 space dimensions. Naturally the supersymmetry present in the bit model is likewise dramatically reduced. Continuous string can arise in the bit models with the formation of infinitely long polymers of string bits. Under the right circumstances (at the critical dimension) these polymers can behave as string moving in D dimensional space-time enjoying the full N = 2 Poincare supersymmetric dynamics of type II-B superstring.
Broader source: Energy.gov [DOE]
Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion, Summary of HVAC Contractor Insights.
COMBINED MODELING OF ACCELERATION, TRANSPORT, AND HYDRODYNAMIC...
Office of Scientific and Technical Information (OSTI)
Search Title: COMBINED MODELING OF ACCELERATION, TRANSPORT, AND HYDRODYNAMIC RESPONSE IN SOLAR FLARES. I. THE NUMERICAL MODEL Acceleration and transport of high-energy particles...
Search for: "earth modeling" | DOE PAGES
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
earth modeling" Find + Advanced Search Advanced Search All Fields: "earth modeling" Title: Full Text: Bibliographic Data: Creator Author: Name Name ORCID Search Authors Type:...
Pilot Models for Estimating Bicycle Intersection Volumes
Griswold, Julia B.; Medury, Aditya; Schneider, Robert J.
2011-01-01T23:59:59.000Z
and Table 4. Alternative Bicycle Model Specifications Model= 2-hr Intersection Bicycle Count Constant NComPropT BikeSymof Portland, OR. Portland Bicycle Counts 2008. Available
Modeling Pulsed Laser Melting of Embedded Nanoparticles
Sawyer, Carolyn Anne
2013-01-01T23:59:59.000Z
to a ?nite di?erence heat transfer model. In the ?nite di?ature. The small-scale heat transfer model for transport out
FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH
Lesieutre, Bernard
2013-01-01T23:59:59.000Z
When modeling the PV systems in the electric power systems, modeling the PV systems in the electric power systems,
Ultraviolet Communication Network Modeling and Analysis
Wang, Leijie
2011-01-01T23:59:59.000Z
and NLOS UV Communication System Model . . . . . . 3.2.15.3 UV Communication Link and TransceiverUV NLOS communication system model in coplanar
Directory of Energy Information Administration Models 1994
Not Available
1994-07-01T23:59:59.000Z
This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.
Modeling And Control Of Articulated Vehicles
Chen, Chieh; Tomizuka, Masayoshi
1997-01-01T23:59:59.000Z
Modeling, Advanced Vehicle Control Systems, Lateral control, SteeringSteering and Braking Control of Heavy Duty Vehicles. Under this project, dynamic modeling
Vehicle Modeling and Simulation | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Modeling and Simulation Vehicle Modeling and Simulation Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda,...
Building Energy Modeling (BEM) Program Overview
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
design: minimize energy consumption under constraints, e.g., first cost * AIA 2030 Commitment-2013 (1,100 projects) performance over CBECS - Non-modeled: +29%, modeled:...
Electricity Subsector Cybersecurity Capability Maturity Model...
Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity Capability Maturity Model (ES-C2M2) Electricity Subsector Cybersecurity...
Electricity Subsector Cybersecurity Capability Maturity Model...
Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) Electricity Subsector Cybersecurity Capability Maturity Model v. 1.1. (February 2014) The...
Sandia National Laboratories: Photovoltaic System Model Calibration...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Model Calibration Using Monitored System Data Sandians Win 'Best Paper' Award at Photovoltaic Conference in Japan On March 4, 2015, in Computational Modeling & Simulation,...
Sandia National Laboratories: improving PV performance model...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
accuracy PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News, News &...
Sandia National Laboratories: PV Performance Modeling
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Performance Modeling PV Plant Performance Technical Briefing Published in PV Power Tech On March 4, 2015, in Computational Modeling & Simulation, Energy, Facilities, News, News &...
Sandia National Laboratories: improving PV performance model...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
technical rigor PV Performance Modeling Collaborative's New and Improved Website Is Launched On December 10, 2014, in Computational Modeling & Simulation, Energy, Facilities, News,...
Polak, S.J.; van Welij, J.S.; Wachters, A.J.H.
1983-11-01T23:59:59.000Z
This paper presents a new EDDY current model. This model minimizes the number of unknown per point. The authors also discuss the uniqueness aspects involved.
Cybersecurity Capability Maturity Model - Facilitator Guide ...
Capability Maturity Model (C2M2) program is intended to aid organizations of all types evaluate and make improvements to their cybersecurity programs. The model focuses on...
Curvaton field and intermediate inflationary universe model
Sergio del Campo; Ramon Herrera
2007-10-29T23:59:59.000Z
The curvaton in an intermediate inflationary universe model is studied. This study has allowed us to find some interesting constraints on different parameters that appear in the model.
Model-Inspired Research. TES research uses modeling, prediction, and synthesis to identify
in Earth system models (ESMs). TES supports research to advance fundamental understanding of terrestrial-process models, ecosystem models, and the Community Earth System Model). This emphasis on the capture of advanced in Earth system models to increase the quality of climate model projections and to provide the scientific
Gray, Jeffrey G.
Model Comparison: A Key Challenge for Transformation Testing and Version Control in Model Driven practices associated with model transformation testing and version control of models. 1. Introduction target model). #12;Â· Version Control Tools do not Match the Structural Nature of Models An essential
TopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM)
Mohaghegh, Shahab
Reservoir ModelingModeling · In top-down modeling we start from production data and try to deduce a pictureTopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM) A NEW APPROACH IN RESERVOIR MODELING BY INTEGRATING CLASSIC RESERVOIR ENGINEERING WITH ARTIFICIAL INTELLIGENCE
NONE
1995-02-17T23:59:59.000Z
The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.
Modeling Hepatitis C treatment policy.
Kuypers, Marshall A.; Lambert, Gregory Joseph; Moore, Thomas W.; Glass, Robert John,; Finley, Patrick D.; Ross, David [Clinical Public Health Group, Veterans Health Administration, Washington, D.C.; Chartier, Maggie
2013-09-01T23:59:59.000Z
Chronic infection with Hepatitis C virus (HCV) results in cirrhosis, liver cancer and death. As the nation's largest provider of care for HCV, US Veterans Health Administration (VHA) invests extensive resources in the diagnosis and treatment of the disease. This report documents modeling and analysis of HCV treatment dynamics performed for the VHA aimed at improving service delivery efficiency. System dynamics modeling of disease treatment demonstrated the benefits of early detection and the role of comorbidities in disease progress and patient mortality. Preliminary modeling showed that adherence to rigorous treatment protocols is a primary determinant of treatment success. In depth meta-analysis revealed correlations of adherence and various psycho-social factors. This initial meta-analysis indicates areas where substantial improvement in patient outcomes can potentially result from VA programs which incorporate these factors into their design.
Model checking quantum Markov chains
Yuan Feng; Nengkun Yu; Mingsheng Ying
2013-11-14T23:59:59.000Z
Although the security of quantum cryptography is provable based on the principles of quantum mechanics, it can be compromised by the flaws in the design of quantum protocols and the noise in their physical implementations. So, it is indispensable to develop techniques of verifying and debugging quantum cryptographic systems. Model-checking has proved to be effective in the verification of classical cryptographic protocols, but an essential difficulty arises when it is applied to quantum systems: the state space of a quantum system is always a continuum even when its dimension is finite. To overcome this difficulty, we introduce a novel notion of quantum Markov chain, specially suited to model quantum cryptographic protocols, in which quantum effects are entirely encoded into super-operators labelling transitions, leaving the location information (nodes) being classical. Then we define a quantum extension of probabilistic computation tree logic (PCTL) and develop a model-checking algorithm for quantum Markov chains.
Model checking quantum Markov chains
Feng, Yuan; Ying, Mingsheng
2012-01-01T23:59:59.000Z
Although the security of quantum cryptography is provable based on the principles of quantum mechanics, it can be compromised by the flaws in the design of quantum protocols and the noise in their physical implementations. So, it is indispensable to develop techniques of verifying and debugging quantum cryptographic systems. Model-checking has proved to be effective in the verification of classical cryptographic protocols, but an essential difficulty arises when it is applied to quantum systems: the state space of a quantum system is always a continuum even when its dimension is finite. To overcome this difficulty, we introduce a novel notion of quantum Markov chain, specially suited to model quantum cryptographic protocols, in which quantum effects are entirely encoded into super-operators labelling transitions, leaving the location information (nodes) being classical. Then we define a quantum extension of probabilistic computation tree logic (PCTL) and develop a model-checking algorithm for quantum Markov c...
Models for Multiband IR Surveys
Cong Xu; Carol J. Lonsdale; David L. Shupe; JoAnn O'Linger; Frank Masci
2001-07-08T23:59:59.000Z
Empirical 'backward' galaxy evolution models for IR-bright galaxies are constrained using multiband IR surveys. A new Monte-Carlo algorithm is developed for this task. It exploits a large library of realistic Spectral Energy Distributions (SEDs) of 837 local IR galaxies (IRAS 25$\\mu m$ selected) from the UV (1000{\\AA}) to the radio (20cm), including ISO-measured 3--13$\\mu m$ unidentified broad features (UIBs). The basic assumption is that the local correlation between SEDs and Mid-Infrared (MIR) luminosities can be applied to earlier epochs of the Universe. Three populations of IR sources are considered in the evolution models. These include (1) starburst galaxies, (2) normal late-type galaxies, and (3) galaxies with AGN. A set of models so constructed are compared with data from the literature. Predictions for number counts, confusion limits, redshift distributions, and color-color diagrams are made for multiband surveys using the upcoming SIRTF satellite.
Peridynamic model for fatigue cracking.
Silling, Stewart A.; Abe Askari (Boeing)
2014-10-01T23:59:59.000Z
The peridynamic theory is an extension of traditional solid mechanics in which the field equations can be applied on discontinuities, such as growing cracks. This paper proposes a bond damage model within peridynamics to treat the nucleation and growth of cracks due to cyclic loading. Bond damage occurs according to the evolution of a variable called the %22remaining life%22 of each bond that changes over time according to the cyclic strain in the bond. It is shown that the model reproduces the main features of S-N data for typical materials and also reproduces the Paris law for fatigue crack growth. Extensions of the model account for the effects of loading spectrum, fatigue limit, and variable load ratio. A three-dimensional example illustrates the nucleation and growth of a helical fatigue crack in the torsion of an aluminum alloy rod.
Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.
Hernandez, Jacquelynne; Parks, Mancel Jordan; Jennings, Barbara Joan; Kaplan, Paul Garry; Brown, Theresa Jean; Conrad, Stephen Hamilton
2010-09-01T23:59:59.000Z
Changes in climate can lead to instabilities in physical and economic systems, particularly in regions with marginal resources. Global climate models indicate increasing global mean temperatures over the decades to come and uncertainty in the local to national impacts means perceived risks will drive planning decisions. Agent-based models provide one of the few ways to evaluate the potential changes in behavior in coupled social-physical systems and to quantify and compare risks. The current generation of climate impact analyses provides estimates of the economic cost of climate change for a limited set of climate scenarios that account for a small subset of the dynamics and uncertainties. To better understand the risk to national security, the next generation of risk assessment models must represent global stresses, population vulnerability to those stresses, and the uncertainty in population responses and outcomes that could have a significant impact on U.S. national security.
Modelling Neuronal Excitation: The Hodgkin-Huxley Model
Planqué, Bob
the models and their derivation will require many concepts from biology and physics to motivate the resulting inter- disciplinary nature, combining mathematics, physics and biology to create qualitative The work of Hodgkin and Huxley is widely recognized as one of the most outstanding achievements in modern
A Markovian Waypoint Mobility Model with Application to Hotspot Modeling
Hyytiä, Esa
, Trondheim, Norway Pasi Lassila Networking Laboratory Helsinki University of Technology Finland Jorma Virtamo Networking Laboratory Helsinki University of Technology Finland Abstract-- In this paper we introduce of Finland (grant n:o 202204). random mobility models have been analysed in [6] and [7] but, while providing
HYPERELASTIC MODELS FOR GRANULAR MATERIALS
Humrickhouse, Paul W; Corradini, Michael L
2009-01-29T23:59:59.000Z
A continuum framework for modeling of dust mobilization and transport, and the behavior of granular systems in general, has been reviewed, developed and evaluated for reactor design applications. The large quantities of micron-sized particles expected in the international fusion reactor design, ITER, will accumulate into piles and layers on surfaces, which are large relative to the individual particle size; thus, particle-particle, rather than particle-surface, interactions will determine the behavior of the material in bulk, and a continuum approach is necessary and justified in treating the phenomena of interest; e.g., particle resuspension and transport. The various constitutive relations that characterize these solid particle interactions in dense granular flows have been discussed previously, but prior to mobilization their behavior is not even fluid. Even in the absence of adhesive forces between particles, dust or sand piles can exist in static equilibrium under gravity and other forces, e.g., fluid shear. Their behavior is understood to be elastic, though not linear. The recent “granular elasticity” theory proposes a non-linear elastic model based on “Hertz contacts” between particles; the theory identifies the Coulomb yield condition as a requirement for thermodynamic stability, and has successfully reproduced experimental results for stress distributions in sand piles. The granular elasticity theory is developed and implemented in a stand- alone model and then implemented as part of a finite element model, ABAQUS, to determine the stress distributions in dust piles subjected to shear by a fluid flow. We identify yield with the onset of mobilization, and establish, for a given dust pile and flow geometry, the threshold pressure (force) conditions on the surface due to flow required to initiate it. While the granular elasticity theory applies strictly to cohesionless granular materials, attractive forces are clearly important in the interaction of micron-sized particles; extension of the theory to account for these effects is also considered. A set of continuum models are proposed for use in the future dust transport modeling.
Forcing in Strategic Belief Models
Tohmè, Fernando; Gangle, Rocco
2012-01-01T23:59:59.000Z
Forcing is a methodology for building models of Set Theory satisfying certain properties. Since its inception by Paul Cohen, in the early 1960s, it has been applied to several areas in Mathematical Logic, becoming a powerful tool in the analysis of axiomatic systems. In this paper we extend the applicability of forcing to game-theoretic strategic belief models. In particular, we propose a very general notion of solutions for such games by enlarging Brandenburger's $RmAR$ condition via extension through generic types.
Fermionic Models with Superconducting Circuits
U. Las Heras; L. García-Álvarez; A. Mezzacapo; E. Solano; L. Lamata
2015-03-31T23:59:59.000Z
We propose a method for the efficient quantum simulation of fermionic systems with superconducting circuits. It consists in the suitable use of Jordan-Wigner mapping, Trotter decomposition, and multiqubit gates, be with the use of a quantum bus or direct capacitive couplings. We apply our method to the paradigmatic cases of 1D and 2D Fermi-Hubbard models, involving couplings with nearest and next-nearest neighbours. Furthermore, we propose an optimal architecture for this model and discuss the benchmarking of the simulations in realistic circuit quantum electrodynamics setups.
Extreme Conditions Modeling Workshop Report
Coe, R. G.; Neary, V. S.; Lawson, M. J.; Yu, Y.; Weber, J.
2014-07-01T23:59:59.000Z
Sandia National Laboratories (SNL) and the National Renewable Energy Laboratory (NREL) hosted the Wave Energy Converter (WEC) Extreme Conditions Modeling (ECM) Workshop in Albuquerque, NM on May 13th-14th, 2014. The objective of the workshop was to review the current state of knowledge on how to model WECs in extreme conditions (e.g. hurricanes and other large storms) and to suggest how U.S. Department of Energy (DOE) and national laboratory resources could be used to improve ECM methods for the benefit of the wave energy industry.
On hereditary models of polymers
M. De Angelis
2012-03-02T23:59:59.000Z
An equivalence between an integro-differential operator M and an evolution operator Ln is determined. From this equivalence the fundamental solution of Ln is estimated in terms of the fundamental solution related to the third-order operator L1 whose behavior is now available. Moreover, properties typical of wave hierarchies can be applied to polymeric materials. As an example the case n= 2 is considered and results are applied to the Rouse model and the reptation model which describe different aspects of polymer chains.
Physically-based demand modeling
Calloway, Terry Marshall
1980-01-01T23:59:59.000Z
nts on the demand. Of course the demand of a real a1r cond1t1oner has lower and upper bounds equal to 0 and 0 , respec- u tively. A constra1ned system can be simulated numerically, but there 1s no explicit system response formula s1m11ar... sect1on. It may now be instruct1ve to relate this model to that of Jones and Bri ce [5] . The average demand pred1 cted by their model is the expected value of the product of a load response factor 0 and a U sw1tching process H(t), which depends...
Chemical kinetics and combustion modeling
Miller, J.A. [Sandia National Laboratories, Livermore, CA (United States)
1993-12-01T23:59:59.000Z
The goal of this program is to gain qualitative insight into how pollutants are formed in combustion systems and to develop quantitative mathematical models to predict their formation rates. The approach is an integrated one, combining low-pressure flame experiments, chemical kinetics modeling, theory, and kinetics experiments to gain as clear a picture as possible of the process in question. These efforts are focused on problems involved with the nitrogen chemistry of combustion systems and on the formation of soot and PAH in flames.
Community Renewables: Model Program Rules
Broader source: Energy.gov [DOE]
The Interstate Renewable Energy Council (IREC) has worked closely with The Vote Solar Initiative to develop model program rules for community-scale renewables that consider many of the basic issues facing community renewables programs. IREC’s model program rules address such issues as renewable system size, interconnection, eligibility for participation, allocation of the benefits flowing from participation, net metering of system production, and other essential features of a community renewables program. The goal of this effort is to provide stakeholders with program rules they can tailor to the individual circumstances and policy preferences of their state without having to reinvent the wheel at each turn.
HOMER: The Micropower Optimization Model
Not Available
2004-03-01T23:59:59.000Z
HOMER, the micropower optimization model, helps users to design micropower systems for off-grid and grid-connected power applications. HOMER models micropower systems with one or more power sources including wind turbines, photovoltaics, biomass power, hydropower, cogeneration, diesel engines, cogeneration, batteries, fuel cells, and electrolyzers. Users can explore a range of design questions such as which technologies are most effective, what size should components be, how project economics are affected by changes in loads or costs, and is the renewable resource adequate.
EIA model documentation: Petroleum market model of the national energy modeling system
NONE
1995-12-28T23:59:59.000Z
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions, the production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level.
Freed, Alan D.; Einstein, Daniel R.; Carson, James P.; Jacob, Rick E.
2012-03-01T23:59:59.000Z
In the first year of this contractual effort a hypo-elastic constitutive model was developed and shown to have great potential in modeling the elastic response of parenchyma. This model resides at the macroscopic level of the continuum. In this, the second year of our support, an isotropic dodecahedron is employed as an alveolar model. This is a microscopic model for parenchyma. A hopeful outcome is that the linkage between these two scales of modeling will be a source of insight and inspiration that will aid us in the final year's activity: creating a viscoelastic model for parenchyma.
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeof Get3 Modelfast
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeof Get3
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeof Get3in warm
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeof Get3in
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam Perez De la Rosa1, GillesModeof
8, 601686, 2008 Modelling Cirrus
Paris-Sud XI, Université de
), but the global effect is still uncertain. The formation and evolution of cirrus clouds depends in a complex way). Cirrus clouds modulate the Earth's radiation budget signifi- cantly. It is assumed that (thin) cirrusACPD 8, 601686, 2008 Modelling Cirrus Clouds Part 1 P. Spichtinger and K. Gierens Title Page
Material models of dark energy
Jonathan A. Pearson
2014-09-16T23:59:59.000Z
We review and develop a new class of "dark energy" models, in which the relativistic theory of solids is used to construct material models of dark energy. These are models which include the effects of a continuous medium with well defined physical properties at the level of linearized perturbations. The formalism is constructed for a medium with arbitrary symmetry, and then specialised to isotropic media (which will be the case of interest for the majority of cosmological applications). We develop the theory of relativistic isotropic viscoelastic media whilst keeping in mind that we ultimately want to observationally constrain the allowed properties of the material model. We do this by obtaining the viscoelastic equations of state for perturbations (the entropy and anisotropic stress), as well as identifying the consistent corner of the theory which has constant equation of state parameter $\\dot{w}=0$. We also connect to the non-relativistic theory of solids, by identifying the two quadratic invariants that are needed to construct the energy-momentum tensor, namely the Rayleigh dissipation function and Lagrangian for perturbations. Finally, we develop the notion that the viscoelastic behavior of the medium can be thought of as a non-minimally coupled massive gravity theory. This also provides a tool-kit for constructing consistent generalizations of coupled dark energy theories.
Origami DNA model Mountain fold
Csürös, Miklós
Origami DNA model Mountain fold Solid lines are "mountains" and are to be folded away from you with the peak pointing towards you. 1. Fold all solid lines going lengthwise down the page into "mountain folds fold 2. Fold all dashed lines going lengthwise down the page into "valley folds". Mountain folds along
Energy Systems Optimization, Modeling, Simulation,
Qu, Zhihua
, and high penetra- tion level of renewable energy sources in the future smart grids make the application energy sources. Renewable en- ergy sources are of special interest as alternative energy. This has lead1 23 Energy Systems Optimization, Modeling, Simulation, and Economic Aspects ISSN 1868-3967 Volume
Climate Analysis, Monitoring, and Modeling
Climate Analysis, Monitoring, and Modeling Environmental Research Area PIER Environmental Research www.energy.ca.gov/research/ environmental August 2012 The Issue Climate change is a daunting challenge health. The energy sector will not be spared. The potential repercussions of climate change include
Fragmentation-inactivation binary model
Botet, R.; Ploszajczak, M. (Laboratoire de Physique des Solides, Batiment 510, Universite Paris-Sud, Centre d'Orsay, F-91405 (France) Grand Accelerateur National d'Ions Lourds, BP 5027, F-14021 Caen CEDEX (France))
1992-12-28T23:59:59.000Z
We develop a novel fragmentation model in which the fragmentation cascade is randomly inactivated according to the homogeneous inactivation probability function. For the multiplicative breakup kernel [ital scrF][sub [ital i],][ital j]=([ital ij])[sup [alpha
Modeling Blog Dynamics Michaela Gotz
Leskovec, Jure
Modeling Blog Dynamics Michaela G¨otz Cornell University goetz@cs.cornell.edu Jure Leskovec@cs.cmu.edu Christos Faloutsos Carnegie Mellon University christos@cs.cmu.edu Abstract How do blogs produce posts? What local, underlying mech- anisms lead to the bursty temporal behaviors observed in blog networks? Earlier
Introduction and Motivation Forward Modeling
Farquharson, Colin G.
Introduction and Motivation Forward Modeling Structured Vs. Unstructured Grids Purpose: z xy to be Discretized: Finite-Element method: 1 2 3S3 1 4 The System of Equations Solved: Verifications and Examples 1 - Controlled-source Electromagnetics (CSEM): 1 - 1 Horizontal Electric Dipole source
OSPREY Model Development Status Update
Veronica J Rutledge
2014-04-01T23:59:59.000Z
During the processing of used nuclear fuel, volatile radionuclides will be discharged to the atmosphere if no recovery processes are in place to limit their release. The volatile radionuclides of concern are 3H, 14C, 85Kr, and 129I. Methods are being developed, via adsorption and absorption unit operations, to capture these radionuclides. It is necessary to model these unit operations to aid in the evaluation of technologies and in the future development of an advanced used nuclear fuel processing plant. A collaboration between Fuel Cycle Research and Development Offgas Sigma Team member INL and a NEUP grant including ORNL, Syracuse University, and Georgia Institute of Technology has been formed to develop off gas models and support off gas research. Georgia Institute of Technology is developing fundamental level model to describe the equilibrium and kinetics of the adsorption process, which are to be integrated with OSPREY. This report discusses the progress made on expanding OSPREY to be multiple component and the integration of macroscale and microscale level models. Also included in this report is a brief OSPREY user guide.
ARM PROCESSES AND MODELING METHODOLOGY
ARM PROCESSES AND MODELING METHODOLOGY Benjamin Melamed Rutgers University Faculty of Management Department of MSIS 94 Rockafeller Rd. Piscataway, NJ 08854 melamed@rbs.rutgers.edu ABSTRACT ARM (Auto innovation sequences, ARM processes admit dependent innovation sequences as well, so long
Identi cation of Physical Models
Components and Systems Testing, on testing of building components related to passive solar energy of physical models is considered within the frame ofstochastic di erential equations. Methods forestimation stochastic di erential equations are described and the implemented tool is validated with respect to bias
Inertial Confinement Fusion Experiments & Modeling
Cohen, David
Inertial Confinement Fusion Experiments & Modeling Using X-ray Absorption Spectroscopy of Thin Does Inertial Confinement Fusion (ICF) Work? A spherical capsule filled with fuel (deuterium Laboratory) #12;Outline I. What is Fusion? II. How does Inertial Fusion work? The physics of indirect
Modeling and Simulation Academic Program
in analysis Refined accident-incident forecast (location, frequency, and severity) Recurrent and incident#12;#12;#12;Modeling and Simulation Academic Program #12;M&S Workforce Development Associate Implementation, Operations Engineer Design, Analysis Scientist Research, Development Partners in Providing World
Message Flow Modeling Oscar Nierstrasz
Nierstrasz, Oscar
Message Flow Modeling Oscar Nierstrasz and Dennis Tsichritzis Computer Systems Research Group University of Toronto ABSTRACT A message management system provides users with a facility for automatically handling messages. This paper describes a technique for characterizing the behaviour of such a system
Structural Analysis of Combustion Models
Tóth, J; Zsély, I
2013-01-01T23:59:59.000Z
Using ReactionKinetics, a Mathematica based package a few dozen detailed models for combustion of hydrogen, carbon monoxide and methanol are investigated. Essential structural characteristics are pulled out, and similarities and differences of the mechanisms are highlighted. These investigations can be used before or parallel with usual numerical investigations, such as pathway analysis, sensitivity analysis, parameter estimation, or simulation.
Decision Model for Cloud Computing
Kondo, Derrick
with different pricing models for cost-cutting, resource-hungry users. Second, prices can differ dynamically (as Grenoble, France 1 #12;Trade-offs Supercomputers Performance Reliability Cost ($) low high high high Instances Â· "Spot" instance price varies dynamically Â· Spot instance provided when user's bid is greater
Model Predictive Control Wind Turbines
Model Predictive Control of Wind Turbines Martin Klauco Kongens Lyngby 2012 IMM-MSc-2012-65 #12;Summary Wind turbines are the biggest part of the green energy industry. Increasing interest control strategies. Control strategy has a significant impact on the wind turbine operation on many levels
Transactive Modeling and Simulation Capabilities
;Hardware in the Loop Testing and Power System Simulation of High Penetration Levels of PV A joint Hardware In the Loop (HIL) effort between PNNL and NREL using PNNL's EIOC and NREL's ESIF Hardware located in the ESIF model NREL: PV inverter hardware running with control signal received from the GridLAB-D simulation
3, 409447, 2006 Modeling carbon
Boyer, Edmond
BGD 3, 409447, 2006 Modeling carbon dynamics in farmland of China F. Zhang et al. Title Page impacts of management alternatives on soil carbon storage of farmland in Northwest China F. Zhang1,3 , C-term losses of soil organic carbon (SOC) have been observed in many agricul- ture lands in Northwest China
Microgravity Flow Regime Transition Modeling
Shephard, Adam M.
2010-07-14T23:59:59.000Z
Flow regime transitions and the modeling thereof underlie the design of microgravity two-phase systems. Through the use of the zero-g laboratory, microgravity two-phase flows can be studied. Because microgravity two-phase flows exhibit essentially...
2, 19952024, 2005 Modeling and
Paris-Sud XI, UniversitÃ© de
HESSD 2, 1995Â2024, 2005 Modeling and measurements of canopy interception loss G. Zhang et al Print Version Interactive Discussion EGU Hydrol. Earth Sys. Sci. Discuss., 2, 1995Â2024, 2005 www.copernicus.org/EGU/hess/hessd/2/1995/ SRef-ID: 1812-2116/hessd/2005-2-1995 European Geosciences Union Hydrology and Earth System
Primer on nuclear exchange models
Hafemeister, David [Physics Department, Cal Poly University, San Luis Obispo, California (United States)
2014-05-09T23:59:59.000Z
Basic physics is applied to nuclear force exchange models between two nations. Ultimately, this scenario approach can be used to try and answer the age old question of 'how much is enough?' This work is based on Chapter 2 of Physics of Societal Issues: Calculations on National Security, Environment and Energy (Springer, 2007 and 2014)
Blei, David M.
TOPIC MODELS DAVID M. BLEI PRINCETON UNIVERSITY JOHN D. LAFFERTY CARNEGIE MELLON UNIVERSITY 1 of the original texts Blei et al. (2003); Grif- fiths and Steyvers (2004); Buntine and Jakulin (2004); Hofmann email ?, scientific abstracts Griffiths and Steyvers (2004); Blei et al. (2003), and newspaper archives
The DCC Curation Lifecycle Model
Royal Holloway, University of London
in the development of shared standards, tools and suitable software. Be aware of, and undertake managementThe DCC Curation Lifecycle Model Description and Representation Information Preservation Planning the curation lifecycle of digital material. This would include plans for management and administration of all
Stochastic Modelling of Hydrologic Systems
] the topic is a drought analysis in a reservoir related to a hydropower plant. A stochastic model the hydropower plant, it is demonstrated that the only way to estimate the risk of water shortage during a hydropower's lifetime is by using a stochastic simulation. In Paper [D] the data originate from a small creek
Generalised Bayesian matrix factorisation models
Mohamed, Shakir
2011-03-15T23:59:59.000Z
in this setting uses a zero-inflated Poisson distribution (Lambert, 1992) to account for the higher The Ubiquitous Latent Variable 3 Latent Variable Models Data Types [chp 2,3] Latent Structure [chp 3, 4] Data Modes [chp 5] Figure 1.1: Diagrammatic thesis...
A Maximally Supersymmetric Kondo Model
Harrison, Sarah; Kachru, Shamit; Torroba, Gonzalo; /Stanford U., Phys. Dept. /SLAC
2012-02-17T23:59:59.000Z
We study the maximally supersymmetric Kondo model obtained by adding a fermionic impurity to N = 4 supersymmetric Yang-Mills theory. While the original Kondo problem describes a defect interacting with a free Fermi liquid of itinerant electrons, here the ambient theory is an interacting CFT, and this introduces qualitatively new features into the system. The model arises in string theory by considering the intersection of a stack of M D5-branes with a stack of N D3-branes, at a point in the D3 worldvolume. We analyze the theory holographically, and propose a dictionary between the Kondo problem and antisymmetric Wilson loops in N = 4 SYM. We perform an explicit calculation of the D5 fluctuations in the D3 geometry and determine the spectrum of defect operators. This establishes the stability of the Kondo fixed point together with its basic thermodynamic properties. Known supergravity solutions for Wilson loops allow us to go beyond the probe approximation: the D5s disappear and are replaced by three-form flux piercing a new topologically non-trivial S3 in the corrected geometry. This describes the Kondo model in terms of a geometric transition. A dual matrix model reflects the basic properties of the corrected gravity solution in its eigenvalue distribution.
Probabilistic Methods for Model Validation
Halder, Abhishek
2014-05-01T23:59:59.000Z
Instead of Moments or Sets . . . . . 6 1.3.4 Methodology and Organization . . . . . . . . . . . . . . . . . 8 1.4 Contributions of This Dissertation . . . . . . . . . . . . . . . . . . . . 9 2. UNCERTAINTY PROPAGATION FOR DETERMINISTIC FLOW . . . . 12 2...’s Density Function Based Model Fal- sification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 4.6 Chapter Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 xv 5. CASE STUDY: F-16 CONTROLLER ROBUSTNESS VERIFICATION...
Biofuel-Food Market Interactions:A Review of Modeling Approaches and Findings
Oladosu, Gbadebo A [ORNL; Msangi, Siwa [International Food and Policy Research Institute (IFPRI)
2013-01-01T23:59:59.000Z
The interaction between biofuels and food markets remains a policy issue for a number of reasons. There is a continuing need to understand the role of biofuels in the recent spikes in global food prices. Also, there is an ongoing discussion of changes to biofuel policy as a means to cope with severe weather-induced crop losses. Lastly, there are potential interactions between food markets and advanced biofuels, although most of the latter are expected to be produced from non-food feedstocks. This study reviews the existing literature on the food market impacts of biofuels. Findings suggest that initial conclusions attributing most of the spike in global food prices between 2005 and 2008 to biofuels have been revised. Instead, a multitude of factors, in addition to biofuels, converged during the period. Quantitative estimates of the impacts of biofuels on food markets vary significantly due to differences in modeling approaches, geographical scope, and assumptions about a number of crucial factors. In addition, many studies do not adequately account for the effects of macroeconomic changes, adverse weather conditions and direct market interventions during the recent food price spikes when evaluating the role of biofuels.
ModelingLandBiogeochemistry Term Spring 2014
Ma, Lena
of Earth system models and serve to represent exchange of energy (heat radiation momentum), water, carbon
Model Description 3.1 Introduction
Ford, David N.
this process by depicting the model from three relatively context-free vantage points. First the model itself in subsequent chapters. A signal processing model of a portion of the Product Development Project Model-development operations Resource Quantity Intra-phase process constraints Error Generation & Discovery Iteration & Rework
BUSINESS PROCESS MODELING WITH UML Nuno Castela
da Silva, Alberto Rodrigues
BUSINESS PROCESS MODELING WITH UML Nuno Castela Escola Superior de Tecnologia de Castelo Branco@est.ipcb.pt Key words: Modeling, Business processes, UML Abstract: This paper focuses the reasons and advantages and description of the methodology to apply business modeling is made, namely, the organization of the modeling
MODELING UNDERTOW OVER A BARRED LABORATORY BEACH
Haller, Merrick
) models were tested against undertow data obtained in a fixed-bed laboratory beach. The quasi-3D model the capabilities of two models against undertow observations on a fixed-bed laboratory beach. The models are 1 in Proceedings of ICCE 2008, ASCE #12;2 Figure 1: Fixed-bed profile (thick black line), fixed (blue circles
Climate System Model Plan (2000-2005)
Community Climate System Model Plan (2000-2005) Prepared by the CCSM Scientific Steering Committee Development of the Climate System Model B. 300-Year Fully Coupled Control Simulation C. Simulation System Model Plan (2000-2005). The evolution of the NCAR Community Climate Model (CCM) from an atmosphere
A FLEXIBLE MODEL FOR TRAFFIC SIMULATION AND
Sanner, Scott
A FLEXIBLE MODEL FOR TRAFFIC SIMULATION AND TRAFFIC SIGNAL CONTROL OPTIMIZATION TAN NGUYEN of optimization of traffic control. As planning can be only as good as the model, the traffic model is the number control optimization, RDDL model. This work was completed with the support of Dr. Scott Sanner. 1 #12
Model Uncertainty in Discrete Event Stanley Young
Garg, Vijay
Abstract Earlier work concerning control of discrete event systems usually assumed that a correct model to test for the correct model or noti cation that the remaining models cannot be controllably distin- guished. We use the nite state machine model with controllable and uncontrollable events presented
Hybrid Modeling of Communication Networks Using Modelica
Hespanha, João Pedro
Hybrid Modeling of Communication Networks Using Modelica Daniel F¨arnqvist, Katrin Strandemar, Karl is to describe initial work on modeling packet-switched communication network us- ing Modelica [1], [8], which that the hybrid model is suitable for Modelica. More- over, we show that the model can then be efficiently simu
Fossil fuels supplies modeling and research
Leiby, P.N.
1996-06-01T23:59:59.000Z
The fossil fuel supplies modeling and research effort focuses on models for US Strategic Petroleum Reserve (SPR) planning and management. Topics covered included new SPR oil valuation models, updating models for SPR risk analysis, and fill-draw planning. Another task in this program area is the development of advanced computational tools for three-dimensional seismic analysis.
Error Correction Using Probabilistic Language Models
Sunder, Gowrishankar
2015-05-07T23:59:59.000Z
and using these models, provide alternative suggestions which could replace the erroneous tokens. We look into two models - the topic-based LDA (Latent Dirichlet Allocation) model and the N-Gram model. We also propose an efficient mechanism to process...