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We encourage you to perform a real-time search of NLEBeta
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1

Bifurcation Analysis of Zellner's Marshallian Macroeconomic Model  

E-Print Network [OSTI]

) model and later an autoregressive leading indicator world income (ARLI/WI) model for eighteen industrialized countries combined with the use of the Bayesian shrinkage technique (see Zellner (1997), Zellner and Min (1999) and Zellner and Palm (2004... (1999), several microeconomic and macroeconomic in uences on entry and exit are studied empirically with reference to the the case of the Finnish manufacturing industry. Panel data for three digit industries covering the six year period between 1988...

Banerjee, Sanjibani

2011-02-03T23:59:59.000Z

2

The National Energy Modeling System: An Overview 2000 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where energy prices change, uses kernel regression and response surface techniques to mimic the response of larger macroeconomic and industrial models. This mode of analysis requires a given economic baseline and then calculates the economic impacts of changing energy prices, calculated from the chosen growth path. The economic growth cases are derived from the larger core models and can reflect either high, low, or reference case growth assumptions. Analyzing economic impacts from energy price changes uses the macroeconomic activity module (MAM) within NEMS and provides a subset of the macroeconomic variables available in the larger core models. The composition of the subset is determined by the other energy modules in NEMS, as they use various macroeconomic concepts as assumptions to their particular energy model.

3

EIA - The National Energy Modeling System: An Overview 2003-Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The National Energy Modeling System: An Overview 2003 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) links NEMS to the rest of the economy by providing projections of economic driver variables for use by the supply, demand, and conversion modules of NEMS. The derivation of the baseline macroeconomic forecast lays a foundation for the determination of the energy demand and supply forecast. MAM is used to present alternative macroeconomic growth cases to provide a range of uncertainty about the growth potential for the economy and its likely consequences for the energy system. MAM is also able to address the macroeconomic impacts associated with changing energy market conditions, such as alternative world oil price assumptions. Outside of the Annual Energy Outlook setting, MAM represents a system of linked modules which can assess the potential impacts on the economy of changes in energy events or policy proposals. These economic impacts then feed back into NEMS for an integrated solution. MAM consists of five modules:

4

Alternative Measures of Welfare in Macroeconomic Models  

Gasoline and Diesel Fuel Update (EIA)

in the United States," Joint Program Report Series 173, MIT Joint Program on the Science and Policy of Climate Change 2009. RTI, "EMPAX-CGE Model Documentation," Interim...

5

Evaluation of the St. Lucia geothermal resource: macroeconomic models  

SciTech Connect (OSTI)

A macroeconometric model describing the St. Lucian economy was developed using 1970 to 1982 economic data. Results of macroeconometric forecasts for the period 1983 through 1985 show an increase in gross domestic product (GDP) for 1983 and 1984 with a decline in 1985. The rate of population growth is expected to exceed GDP growth so that a small decline in per capita GDP will occur. We forecast that garment exports will increase, providing needed employment and foreign exchange. To obtain a longer-term but more general outlook on St. Lucia's economy, and to evaluate the benefit of geothermal energy development, we applied a nonlinear programming model. The model maximizes discounted cumulative consumption.

Burris, A.E.; Trocki, L.K.; Yeamans, M.K.; Kolstad, C.D.

1984-08-01T23:59:59.000Z

6

AgentAgent--Based Computational ModelingBased Computational Modeling and Macroeconomicsand Macroeconomics  

E-Print Network [OSTI]

experimental study of macroeconomic systems #12;3 Macro regularities arise from local interactions among micro of interaction networks;Endogenous formation of interaction networks; AutonomyAutonomy (self-activation and self

Tesfatsion, Leigh

7

Essays in macroeconomics and corporate finance  

E-Print Network [OSTI]

This thesis examines questions at the intersection of macroeconomics and finance. Chapter 1 studies the persistent effects of a decrease in firms' ability to borrow. I develop a tractable model of deleveraging that emphasizes ...

Goldberg, Jonathan E. (Jonathan Elliot)

2011-01-01T23:59:59.000Z

8

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

9

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

10

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2008 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

11

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2009 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2008), (Washington, DC, January 2008).

12

Macroeconomic Activity Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 19 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook2011 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module.

13

Assumptions to the Annual Energy Outlook 1999 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

macroeconomic.gif (5367 bytes) macroeconomic.gif (5367 bytes) The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994).

14

Assumptions to the Annual Energy Outlook 2001 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

15

Ecological macroeconomics: An application to climate change  

Science Journals Connector (OSTI)

Ecological economics has not paid sufficient attention to the macroeconomic level both in terms of theory and modeling. Yet, key topics debated in the field of ecological economics such as sustainable consumption, reduction in working time, the degrowth debate, the energyexergy link, and the rebound effect require a holistic and macro perspective. While this deficiency has been identified before and Keynesian economics has been generally suggested as a potent vehicle to establish economic systemic thinking, very little concrete theorizing and practical suggestions have been put forward. We give further credence to this suggestion and demonstrate the value of tackling key concerns of ecological economics within a Keynesian growth framework. Contextualized by an application to climate change we suggest that policy relevant recommendations need to be based on a consistent view of the macroeconomy. We end with laying out key building blocks for a Keynesian model framework for an ecological macroeconomics.

Armon Rezai; Lance Taylor; Reinhard Mechler

2013-01-01T23:59:59.000Z

16

Essays in macroeconomics and experiments  

E-Print Network [OSTI]

This dissertation consists of four chapters on empirical and experimental macroeconomics and other experimental topics. Chapter 1 uses a laboratory experiment to test the predictions of a dynamic global game designed to ...

Shurchkov, Olga

2008-01-01T23:59:59.000Z

17

Essays on liquidity in macroeconomics  

E-Print Network [OSTI]

This thesis includes four essays on the macroeconomic effects of financial market imperfections. The first essay studies the incentives for banks that participate in an interbank market to keep a sufficient level of reserves. ...

Lorenzoni, Guido

2001-01-01T23:59:59.000Z

18

Methodology for the Assessment of the Macroeconomic Impacts of Stricter CAF. Standards  

Gasoline and Diesel Fuel Update (EIA)

For For a full documentation of the macroeconomic linkage refer to "Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System," January 2002 found on the EIA web site at http://tonto.eia.doe.gov/FTPROOT/modeldoc/m065(2002).pdf Methodology for the Assessment of the Macroeconomic Impacts of Stricter CAFÉ Standards This assessment of the economic impacts of CAFÉ standards marks the first time EIA has used the new direct linkage of the DRI-WEFA Macroeconomic Model to NEMS in a policy setting. This methodology assures an internally consistent solution between the energy market concepts forecast by NEMS and the aggregate economy as forecast by the DRI-WEFA Macroeconomic Model of the U.S. Economy. While we refer to DRI- WEFA model as a macro model, the full DRI-WEFA model forecasts more than 1600 detailed concepts covering

19

Essays on the stock market's reaction to macroeconomic news  

E-Print Network [OSTI]

3.2.2 Macroeconomics News Data . . . . . . . . . . . . . . .of Unanticipated News Persist? . . . . . . . . . . . . .for the Macroeconomic News Variables . . . . . . . Table 3.4

Cenesizoglu, Tolga

2006-01-01T23:59:59.000Z

20

Assumptions to the Annual Energy Outlook 2002 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

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


21

14.05 Intermediate Applied Macroeconomics, Fall 2002  

E-Print Network [OSTI]

Uses the tools of macroeconomics to study three macroeconomic policy problems in depth. Possible topics include long-run economic growth, the macroeconomics of the transition to a modern capitalist society, federal government ...

Temin, Peter

22

Health and Health Care, Macroeconomics of  

Science Journals Connector (OSTI)

Abstract Macroeconomics can have a measurable impact on health and health care. The aim of this article is to introduce the macroeconomics of health and health care. The article will outline the core features and terms related to macroeconomics, as distinct from microeconomics, and then give an overview of the relationship between the macroeconomy and health and health care. It will thus consider, for example, the relationship between health care expenditure and national income, and provide an overview of the routes through which greater macroeconomic integration at the global level may impact on health and health care via international trade.

R. Smith

2014-01-01T23:59:59.000Z

23

Essays in Macroeconomic Analysis  

E-Print Network [OSTI]

-2- -3- A mis padres, por todo. -4- TABLE OF CONTENTS ABSTRACTS... with their theoretical predictions) but an increase in the consumption of durables which is consistent with the evidence and theoretical predictions of the New Keynesian models. CHAPTER 2: THE IMPACT OF FISCAL EXPANSIONS ON PRIVATE SPENDING: A REAL...

Valcarcel, Victor J.

2008-07-31T23:59:59.000Z

24

International Macroeconomic Data Set | Data.gov  

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

International Macroeconomic Data Set International Macroeconomic Data Set Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data International Macroeconomic Data Set Dataset Summary Description The International Macroeconomic Data Set provides data from 1969 through 2020 for real (adjusted for inflation) gross domestic product (GDP), population, real exchange rates, and other variables for the 190 countries and 34 regions that are most important for U.S. agricultural trade. The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks. The data for the Baseline projections are updated once a year to reflect the assumptions used for the Baseline. The historical data will be revised several times a year as the underlying data evolve.

25

Macroeconomic Real Gross Domestic Product  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Macroeconomic Real Gross Domestic Product (billion chained 2009 dollars - SAAR) ............. 15,584 15,680 15,819 15,886 15,970 16,068 16,173 16,295 16,422 16,557 16,701 16,832 15,742 16,127 16,628 Real Disposable Personal Income (billion chained 2009 dollars - SAAR) ............. 11,502 11,618 11,703 11,757 11,883 11,970 12,057 12,151 12,273 12,363 12,451 12,526 11,645 12,015 12,403 Real Personal Consumption Expend. (billion chained 2009 dollars - SAAR) ............. 10,644 10,692 10,729 10,813 10,884 10,959 11,036 11,114 11,191 11,264 11,343 11,416 10,719 10,998 11,304 Real Fixed Investment (billion chained 2009 dollars - SAAR) ............. 2,420 2,458 2,491 2,508 2,551 2,604 2,655 2,700 2,752 2,816 2,885 2,944 2,469 2,627 2,849 Business Inventory Change (billion chained 2009 dollars - SAAR) .............

26

Essays on political institutions and macroeconomics  

E-Print Network [OSTI]

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 ...

Yared, Pierre

2007-01-01T23:59:59.000Z

27

Essays on macroeconomic risks and stock prices  

E-Print Network [OSTI]

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 ...

Duarte, Fernando Manuel

2011-01-01T23:59:59.000Z

28

Macroeconomics and Health: Investing in Health for  

E-Print Network [OSTI]

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

29

GI-MITTEILUNG Workshop Elektrotechnik CAD  

E-Print Network [OSTI]

anstaltet wurde der Work shop vom Institut flir In formatik der UniversWit Stuttgart (Lehrstuhl Graphi sche Modellieren" [3] der Gesellschaft flir Informa tik e. V. (GI). Der Workshop richtete sich gleicherma der Veransta)tung war es, den aktuellen Stand der CADI CAE-Technologie flir die Be reiche

30

Energy Production and Trade: An Overview of Some Macroeconomic...  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Production and Trade: An Overview of Some Macroeconomic Issues Vipin Arora November 2014 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration...

31

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

explanatory variables. Compared to Stock and Watson (2002)â??s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

32

Modelling macroeconomic flows related to large ensembles  

E-Print Network [OSTI]

, including, say, oil prices, interest rates, etc; dynamics of shares markets are governed by information are illustrated by flows of a liquid between interconnected reservoirs, where the heights of different reservoirs is changing with time, and movement of the liquid between the reservoirs is governed by gravity, see Figure 1

Schellekens, Michel P.

33

Oil commodity returns and macroeconomic factors: A time-varying approach  

Science Journals Connector (OSTI)

Abstract This paper analyses the dynamic influence of macroeconomic factors on oil commodity returns (crude oil and heating oil) shown in monthly data over the period of 19902013. Using a time-varying parameter model via the Kalman filter, we find that macroeconomic factors are relevant for explaining oil commodity returns. We find that multilateral exchange rates have a negative effect on commodity returns. We confirm the existence of a strong linkage between energy and non-energy commodities. More importantly, we find shifts in global demand and SP500 effects that are not identified through the constant parameter model. These variables have had a progressively positive effect on oil commodity returns, especially since 2008.

Christophe Schalck; Rgis Chenavaz

2015-01-01T23:59:59.000Z

34

Instruction Guide General Information Services, Inc. (GiS)  

E-Print Network [OSTI]

Instruction Guide General Information Services, Inc. (GiS) EQuest+ Ordering and Viewing Process with your organization. GiS will contact you directly if we are in need of a copy of the signed REPORT 1. Go to website address: https://apps.geninfo.com/Login.aspx?CompanyParm=GIS-US 2. At the EQUEST

Butler, Laurie J.

35

14.452 Macroeconomic Theory II, Spring 2002  

E-Print Network [OSTI]

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 ...

Blanchard, Olivier (Olivier J.)

36

14.02 Principles of Macroeconomics, Fall 2009  

E-Print Network [OSTI]

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 ...

Guerrieri, Veronica

37

Essays on the stock market's reaction to macroeconomic news  

E-Print Network [OSTI]

Macroeconomic News Variables 21. PCE, M/M %Change, (SAAR, %)Capacity Utilization Rate 21. PCE 20. New Home Sales 24. NewAdv. Durables Investment 21. PCE 20. New Home Sales R 2 19.

Cenesizoglu, Tolga

2006-01-01T23:59:59.000Z

38

Macroeconomics: A Survey of Laboratory Research Department of Economics  

E-Print Network [OSTI]

experimentation to produce crucial data. This is particularly true of macroeconomics." Christopher A. Sims (1996 (1982). Even these experimental exercises have been ruled out as unacceptable by some. Sims again (1996

Tesfatsion, Leigh

39

14.452 Macroeconomic Theory II, Spring 2005  

E-Print Network [OSTI]

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 ...

Blanchard, Olivier (Olivier J.)

40

Reduction of Utility Usage in a Glyphosate Intermediate (GI) Unit  

E-Print Network [OSTI]

Reduction of Utility Usage in a Glyphosate Intermediate (GI) Unit Michael L. Sander Manufacturing Technologist Monsanto Company Luling, Louisiana Plant ABSTRACT The Monsanto Company Luling Plant produces glyphosate intermediate (GI... the Utilities area brainstormed ideas and then implemented them across the units. While all utilities were addressed, the groups primary focus areas were natural gas, nitrogen, and compressed air. Natural gas usage was reduced 28% by optimizing...

Sander, M. L.

2006-01-01T23:59:59.000Z

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


41

Macroeconomic effects of high oil prices on the Swiss economy: 2003??2008  

Science Journals Connector (OSTI)

In this paper, we examine the macroeconomic impact of the high oil price era between 2003 and mid-2008 on the Swiss economy. Using a medium-scale disequilibrium macroeconometric model, we focus not only on the effects of oil prices on the real GDP growth but also on their effects on demand-side components, prices, labour market and capacity output. Our simulation results indicate that high oil prices still had a non-negligible negative impact on economic performance despite the observed above average real economic growth rates. We have also found that an accommodative monetary policy might help in smoothing the negative effects of oil price shocks.

Erdal Atukeren

2011-01-01T23:59:59.000Z

42

The Declining Equity Premium: What Role Does Macroeconomic Risk Play?  

E-Print Network [OSTI]

-dividend and price-earnings ratios remain well above their historical norms. More formally, the recent run of Pennsylvania and NBER Aggregate stock prices, relative to virtually any indicator of fundamental value, soared historical norms. Why? We consider one particular explanation: a fall in macroeconomic risk

Kahana, Michael J.

43

Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks  

E-Print Network [OSTI]

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

Garousi, Vahid

44

Term Structure Dynamics with Macroeconomic Factors  

E-Print Network [OSTI]

with Macro Variables I present an a ne term structure model with latent factors and observable macroeco- nomic variables. I denote a state variable vector by Xt = (x1t; ;xkt;xk+1t;:::;xnt)0, where the rstk factors are unobservable and the remaining (n k...) factors are macroe- conomic variables. Suppose that Xt follows an Ito process (2.3) dXt = K[ Xt]dt+ p StdWt; where K is an n n matrix, is an n 1 vector. St is an n n diagonal matrix and the ith diagonal element is given as i + 0iXt, where i is a...

Park, Ha-Il

2011-02-22T23:59:59.000Z

45

A Novel Harmony Search Algorithm for One-Year-Ahead Energy Demand Estimation Using Macroeconomic Variables  

Science Journals Connector (OSTI)

In this paper we tackle a problem of one-year ahead energy demand estimation from macroeconomic variables. A modified Harmony ... the proposed approach in a real problem of Energy demand estimation in Spain, from...

Sancho Salcedo-Sanz

2014-01-01T23:59:59.000Z

46

An Evaluation of Macroeconomic Models for Use at EIA  

Gasoline and Diesel Fuel Update (EIA)

over time. Using OLS for estimation with such trending variables leads to biased test statistics which may invalidate standard hypothesis testing. There are several ways to...

47

A macroeconomic analysis of electricity consumption in Tunisia: energy policy implications  

Science Journals Connector (OSTI)

Electricity demand forecasting is becoming an essential instrument for energy management policy in a liberalised electricity market. To address the needs, an electricity consumption forecasting model based on macroeconomic factors for Tunisia during the period of 1971 to 2008 has been investigated. A cointegration and error correction model incorporated with causality analysis present an appropriate framework for studying the aggregate electricity demand. It is found that the there are long run relationships between electricity consumption, real income, population and the consumer price index. For causality results, it was found there are unidirectional relationships from electricity consumption to real income, from electricity consumption to consumer price index and from population to real income. The results from our study might be useful for the government in forming appropriate energy policies. Indeed, the policymaker would visibly pose problems for electricity security by increasing investment in the electricity supply sector in order to cope with the increasing demand and undertaking more research to sustain their social, economic and environmental needs by implementing an energy efficiency measures.

Néjib Chouaïbi; Tahar Abdessalem

2011-01-01T23:59:59.000Z

48

Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information  

E-Print Network [OSTI]

of within-sample-fit. The result supports innovation accounting analysis based on DAGs using residuals of out-of-sample-forecast. Second, we look at the effects of the federal fund rate and/or WTI crude oil price shock on US macroeconomic and financial...

Hong, Sung Wook 1977-

2012-09-20T23:59:59.000Z

49

14.772 Development Economics: Macroeconomics, Spring 2009  

E-Print Network [OSTI]

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 ...

Kremer, Michael

50

Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.  

SciTech Connect (OSTI)

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.

Hernandez, Jacquelynne; Parks, Mancel Jordan; Jennings, Barbara Joan; Kaplan, Paul Garry; Brown, Theresa Jean; Conrad, Stephen Hamilton

2010-09-01T23:59:59.000Z

51

Ambient Vibration Study of the Gi-Lu Cable-Stay Bridge: Application of Wireless Sensing Units  

E-Print Network [OSTI]

Ambient Vibration Study of the Gi-Lu Cable-Stay Bridge: Application of Wireless Sensing Units Kung-Chun Lu1 , Yang Wang2 , J. P. Lynch3 , C. H. Loh1 Yen-Jiun Chen1 , P. Y. Lin4 , Z. K. Lee4 1 Department of a 240 meter cable-stayed bridge ­Gi-Lu Bridge in Nan-Tou County, Taiwan. A MEMS-based wireless sensor

Stanford University

52

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

E-Print Network [OSTI]

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

López-Sánchez, Maite

53

Adaptations of renewable energy policies to unstable macroeconomic situationsCase study: Wind power in Brazil  

Science Journals Connector (OSTI)

Despite the massive cost reduction in the last decade, wind power generation is generally still more expensive than conventional energy sources which benefit from the exclusion of externality costs in the price structure. Support policies for renewable energies guarantee the economic viability of this type of electrical power generation in many European countries. In Latin America, Brazil has become the pioneer state for renewable energy with the implementation of the PROINFA programme that supports, among other sources, wind power development of 1100MW. This article presents an overview of the differences between the German and Brazilian wind power promotion policies with a special focus on how PROINFA can be adapted to the unstable macroeconomic situation of Brazil. The document specifically examines the adaptation of wind power promotion policies to large inflation and interest rates in Brazil.

Johannes M. Kissel; Stefan C.W. Krauter

2006-01-01T23:59:59.000Z

54

TO: FILE GiR FROM: SUBJECT: I OWNER(S) Past: Current:  

Office of Legacy Management (LM)

3 749 3 749 '*,. .,;L ----.-. _ 5' . iMEMORANDUM TO: FILE GiR FROM: , SUBJECT: I OWNER(S) ------__ Past: ------------------_----~ Current: Owner contacted q yes qnnc; ~~-~~~---------~~--_______ if yes, date contacted 1 ! I TYPE OF OPERATION --~_--___~---_--_ $ Research b Development a Facility Type 1 I 0 Production scale testing 0 Pilot Scale Bench Scale Process Theoretical 'Studies 0 Sample & Analysis G Production E Disposal/Storage 0 Research 0 Uther --------------T------ I T'/PE OF CONTRACT -----------_____ 0 Prime I2 C! Subcontractor Other information (i.e.:, cost q Purchase Order + fixed fee, unit Arice, time 84 material, etr) i ------- 'I ----------------------i__--_ Contract/Purchase Qrdei. W -----------I--k---j----- ~PJKJbL-I @J OWNERSHIP:

55

Novel Activity of RGS14 on Go? and Gi? Nucleotide Binding and Hydrolysis Distinct from Its RGS Domain and GDI Activity  

Science Journals Connector (OSTI)

The bifunctional protein RGS14 is both a GTPase activating protein (GAP) for Gi? and Go? and a guanine nucleotide dissociation inhibitor (GDI) for Gi?. This GDI activity is isolated to a region of the protein distinct from the RGS domain that contains an ...

John R. Hepler; Wendy Cladman; Suneela Ramineni; Susanne Hollinger; Peter Chidiac

2005-03-18T23:59:59.000Z

56

The National Energy Modeling System: An Overview 1998 - Appendix:  

Gasoline and Diesel Fuel Update (EIA)

APPENDIX: APPENDIX: BIBLIOGRAPHY The National Energy Modeling System is documented in a series of model documentation reports, available by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, National Energy Modeling System Integrating Module Documentation Report, DOE/EIA-M057(97) (Washington, DC, May 1997). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(97) (Washington, DC, December 1996). Energy Information Administration, Model Developer's Appendix to the Model Documentation Report: NEMS Macroeconomic Activity Module, DOE/EIA-M065A (Washington, DC, July 1994). Energy Information Administration, Documentation of the DRI Model of the

57

U.S. DEPARTlVIENT OF ENERGY p.GI.G!) EERE PROJECT MAN AG EMENT CENTER  

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

p.GI.G!) EERE PROJECT MAN AG p.GI.G!) EERE PROJECT MAN AG EMENT CENTER NEPA DETERMINATION RECIPIENT:Palm Beach County STATE: FL PROJECT TITLE: EECBG Activity 1: Digester Biogas Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-EE00013 DE-EE0000793 GFO-0000793-001 0 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 45 1.1A), 1 have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: 65.1 Actions to conserve energy, demonstrate potential energy conservation, and promote energy-efficiency that do not increase the indoor concentrations of potentially harmful substances. These actions may involve financial and technical assistance to individuals (such as builders, owners, consultants, designers), organizations (such as utilities), and state

58

Energy policies in a macroeconomic model: an analysis of energy taxes when oil prices decline  

Science Journals Connector (OSTI)

Economic planners and policy-makers have been acquainted, in the last fifteen years, with unanticipated oil price increases. The energy economics literature is abundant ... rules that would mitigate the negative ...

P. Capros; P. Karadeloglou; G. Mentzas

1992-01-01T23:59:59.000Z

59

Macroeconomic Dynamics in a Model of Goods, Labor and Credit Market Frictions  

E-Print Network [OSTI]

, bridging the gap with the data both in terms of persistence and volatility. Since its inception the Real process: in the US, the retail sector, for instance, represents more than 5 percent of GDP, suggesting of prospecting consumers and products on the goods market; and the ratio of investment projects to banks

Paris-Sud XI, Université de

60

Incorporating Macroeconomic and Firm-Level Uncertainties in Stochastic Pro-Forma Financial Modeling  

E-Print Network [OSTI]

. University Blvd, Suite 555, Denver, CO 80208- 8921. Phone: 303-871-4235. Fax: 303-871-4580. ikhindan

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


61

The homeownership gap : how the post-world War II GI bill shaped modern day homeownership patterns for black and white Americans  

E-Print Network [OSTI]

Servicemen's Readjustment Act of 1944, commonly known as the GI Bill, was a transformative piece of legislation signed by President Roosevelt intended to help WWII Veterans transition successfully from soldier to citizen. ...

McKenna, Cyd

2008-01-01T23:59:59.000Z

62

European Economic Review 18 11982)243-248. Norfh-Holle,nd Publishing Company THE OIL SHOCKS AND MACROECONOMIC ADJUSTMEN'F IN  

E-Print Network [OSTI]

the oil price increases a~d pre-ta~: profitability remained strong throughout the 1970s. Demand factorsEuropean Economic Review 18 11982)243-248. Norfh-Holle,nd Publishing Company THE OIL SHOCKS importance of supply versus demand factors in r,x:ent U.S. macroeconomic history remains in strong dispute

63

An agent-based computational model for bank formation and interbank networks  

E-Print Network [OSTI]

An agent-based computational model for bank formation and interbank networks Matheus R. Grasselli, interdependence, interaction, networks, and trust", all of which are absent from economic models where utility) intellectual history of the quest to base macroeconomic theory on solid micro foundation, culminating

Tesfatsion, Leigh

64

Tiu Ch Chn La D n Khi Phc Sm Vo ngy 21 thng 4 nm 2011, cc y Vin nh Gi Tn Hi  

E-Print Network [OSTI]

con ngi bng cách khôi phc, phc hi môi trng sng, thay th, hoc thu gom mt lng tng ng vi ngun tài nguyên thiên nhiên có cht lng, giá tr sinh thái hoc dân dng tng ng n bù các tài nguyên và dch v b tn hi t s c, nhng vn c chp nhn và hu ích giúp sàng lc mt s lng ln các d án có tim nng. Không mt yu t nào c s dng nh

65

The Great Shift: Macroeconomic projections For the World Economy at the 2050 Horizon  

E-Print Network [OSTI]

of living, measured through GDP per capita in purchasing power parity, China would still lag 10 percent function that includes capital, labour and energy. We improve on the literature by accounting for the energy constraint through dynamic modelling of energy productivity, and departing from the assumptions

Paris-Sud XI, Université de

66

Evaluation of Gastrointestinal Solubilization of Petroleum Hydrocarbon Residues in Soil Using an In Vitro Physiologically Based Model  

Science Journals Connector (OSTI)

Petroleum hydrocarbon residues in weathered soils may pose risks to humans through the ingestion pathway. To understand the factors controlling their gastrointestinal (GI) absorption, a newly developed experimental extraction protocol was used to model ...

Hoi-Ying N. Holman; Regine Goth-Goldstein; David Aston; Mao Yun; Jenny Kengsoontra

2002-02-14T23:59:59.000Z

67

Three essays in macroeconomics  

E-Print Network [OSTI]

This thesis is a collection of three essays on international trade and economic growth. Chapter 1 analyzes the dynamic gains from trade in a Hecksher-Ohlin economy with endogenous factor accumulation. In a framework where ...

Auer, Raphael Anton Maximilian Peter Gabriel

2006-01-01T23:59:59.000Z

68

Essays in macroeconomics  

E-Print Network [OSTI]

Revenues and Non-Capital Expenditures . . . . . . . . . 3.6Total revenue vs. non-capital expenditure: This includes alland excludes capital expenditures. Capital expenditures

Daula, Thomas Anthony; Daula, Thomas Anthony

2012-01-01T23:59:59.000Z

69

Three Essays in Macroeconomics  

E-Print Network [OSTI]

Journal of Monetary Economics, 41(2):257275. [Kakwani,1977] Kakwani, N. C. (1977). Applications of lorenz curvesSuits, 1977] and [Kakwani, 1977] also use income levels to

Fu, Zhiming

2014-01-01T23:59:59.000Z

70

Modeling the Global Trade and Environmental Impacts of Biofuel Policies |  

Open Energy Info (EERE)

Modeling the Global Trade and Environmental Impacts of Biofuel Policies Modeling the Global Trade and Environmental Impacts of Biofuel Policies Jump to: navigation, search Tool Summary Name: Modeling the Global Trade and Environmental Impacts of Biofuel Policies Agency/Company /Organization: International Food Policy Research Institute Sector: Energy Focus Area: Biomass Topics: Policies/deployment programs, Co-benefits assessment, - Macroeconomic, - Environmental and Biodiversity, Pathways analysis Resource Type: Software/modeling tools, Publications, Lessons learned/best practices Website: www.ifpri.org/sites/default/files/publications/ifpridp01018.pdf RelatedTo: Modeling International Relationships in Applied General Equilibrium (MIRAGE) Modeling the Global Trade and Environmental Impacts of Biofuel Policies Screenshot

71

Regional Dynamics Model (REDYN) | Open Energy Information  

Open Energy Info (EERE)

Regional Dynamics Model (REDYN) Regional Dynamics Model (REDYN) Jump to: navigation, search Tool Summary Name: REDYN Agency/Company /Organization: Regional Dynamics Inc. Sector: Energy Phase: Determine Baseline, "Evaluate Options and Determine Feasibility" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., Develop Goals Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.regionaldynamics.com/

72

Infinite Dimensional VARs and Factor Models  

E-Print Network [OSTI]

in L1 norm. 2 Cross Sectional Dependence in IVAR Models Suppose there are N cross section units indexed by i 2 S #17; f1; ::; Ng #18; N. Depending on empirical application, units could be households, ?rms, regions, countries, or macroeconomic indicators... Japan Italy Figure 1: Column-sums of trade share matrix for the top 6 countries as of 2006 using three-year moving averages Strong dependence in IVAR model (1) could arise as a result of CSD errors fuitg, or could be due to dominant patterns in the coe...

Chudik, Alexander; Pesaran, M Hashem

73

A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8 s latency and 66 MHz output event-rate  

E-Print Network [OSTI]

A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8 µs latency and 66 MHz output and complexity in recent years, thanks also the adoption of the Address-Event Representation (AER) as a standard for transmitting signals among chips, and building multi-chip event-based systems. AER mapper devices that route

74

Economics definitions, methods, models, and analysis procedures for Homeland Security applications.  

SciTech Connect (OSTI)

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.

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

75

Economic Model For a Return on Investment Analysis of United States Government High Performance Computing (HPC) Research and Development (R & D) Investment  

SciTech Connect (OSTI)

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.

Joseph, Earl C.; Conway, Steve; Dekate, Chirag

2013-09-30T23:59:59.000Z

76

Threshold 21 Model | Open Energy Information  

Open Energy Info (EERE)

Threshold 21 Model Threshold 21 Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Threshold 21 Model Agency/Company /Organization: Millennium Institute Sector: Climate Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools Complexity/Ease of Use: Moderate Website: www.millenniuminstitute.net/integrated_planning/tools/T21/index.html#r Cost: Free Threshold 21 Model Screenshot References: Threshold 21 Model[1] Related Tools MIT Emissions Prediction and Policy Analysis (EPPA) Model Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Electricity Markets Analysis (EMA) Model

77

Essays on Macroeconomics and Oil  

E-Print Network [OSTI]

Oil Production in Venezuela and Mexico . . . . . . . . . .Venezuela with Mexico, another major oil pro- ducing countryOil Production and Productivity in Venezuela and Mexico . . . . . . . .

CAKIR, NIDA

2013-01-01T23:59:59.000Z

78

Essays on Macroeconomics and Oil  

E-Print Network [OSTI]

Oil Production in Venezuela and Mexico . . . . . . . . . .Oil Production and Productivity in Venezuela and Mexico . . . . . . . .2.6: Oil Production in Venezuela and Mexico 350 Productivity

CAKIR, NIDA

2013-01-01T23:59:59.000Z

79

Essays on Macroeconomics and Oil  

E-Print Network [OSTI]

Oil Production . . . . . . . . . . . . . . . . . . . . . . . . . . .Oil Production in Venezuela and Mexico . . . . . . . . . .Oil Production and Productivity in Venezuela and

CAKIR, NIDA

2013-01-01T23:59:59.000Z

80

Essays on Macroeconomics and Oil  

E-Print Network [OSTI]

the Oil Industry . . . . . . . . . . . . . . . . . . . . . .in the Venezuelan Oil Industry . . . . . . . . . . . . .and Productivity: Evidence from the Oil Industry . .

CAKIR, NIDA

2013-01-01T23:59:59.000Z

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


81

Essays on Macroeconomics and Oil  

E-Print Network [OSTI]

Oil Production in Venezuela and Mexico . . . . . . . . . .and Productivity in Venezuela and Mexico . . . . . . . . OilEllner, Organized Labor in Venezuela 1958-1991: Behavior

CAKIR, NIDA

2013-01-01T23:59:59.000Z

82

Essays on Open Economy Macroeconomics  

E-Print Network [OSTI]

of Philosophy in Economics by Mi Lu June 2013 DissertationArnott Jana Grittersova Aman Ullah Copyright by Mi Lu TheDissertation of Mi Lu is approved: Committee Chairperson

Lu, Mi

2013-01-01T23:59:59.000Z

83

Modeling International Relationships in Applied General Equilibrium  

Open Energy Info (EERE)

Modeling International Relationships in Applied General Equilibrium Modeling International Relationships in Applied General Equilibrium (MIRAGE) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Modeling International Relationships in Applied General Equilibrium (MIRAGE) Agency/Company /Organization: International Food Policy Research Institute, Centre d'Etudes Prospectives et d'Informations Internationales (CEPII) Focus Area: Economic Development Topics: Co-benefits assessment, - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.ifpri.org/book-5076/ourwork/program/mirage-model RelatedTo: Global Trade Analysis Project (GTAP) Data Base

84

Global Trade and Analysis Project (GTAP) Model | Open Energy Information  

Open Energy Info (EERE)

Global Trade and Analysis Project (GTAP) Model Global Trade and Analysis Project (GTAP) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Global Trade Analysis Project (GTAP) Model Agency/Company /Organization: Purdue University Sector: Climate, Energy Topics: Baseline projection, - Macroeconomic, Market analysis, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.gtap.agecon.purdue.edu/models/current.asp Cost: Free References: GTAP[1] Related Tools IGES GHG Calculator For Solid Waste ICCT Roadmap Model Applied Dynamic Analysis of the Global Economy (ADAGE) Model

85

National Energy Modeling System (NEMS) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project 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

86

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect (OSTI)

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.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

87

Integrated Global System Modeling Framework | Open Energy Information  

Open Energy Info (EERE)

Integrated Global System Modeling Framework Integrated Global System Modeling Framework Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Integrated Global System Modeling Framework Agency/Company /Organization: MIT Joint Program on the Science and Policy of Global Change Sector: Climate, Energy Focus Area: Renewable Energy Phase: Determine Baseline, Evaluate Options Topics: - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Not Available Website: globalchange.mit.edu/research/IGSM Cost: Free Related Tools Transport Co-benefits Calculator General Equilibrium Modeling Package (GEMPACK)

88

Tools of computational neuroscience : Models of neurons D&A Chapter 5.  

E-Print Network [OSTI]

to model neurons. + ++ - -- im V Cm dV dt = - ion Iion + Iext(t) · From this we can determine how V changes (diffusion and electric forces) would cancel. Point neurons (2) Cm dV dt = - ion Iion + Iext(t) Ii = gi to move Vm towards Ei Hodgkin-Huxley Model (in a nutshell) Cm dV dt = - ion Iion + Iext(t) · describe

Seriès, Peggy

89

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. 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, 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). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. 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, 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). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This 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. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

90

DOE Hydrogen Analysis Repository: Second Generation Model (SGM)  

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

Second Generation Model (SGM) Second Generation Model (SGM) Project Summary Full Title: Second Generation Model (SGM) Project ID: 166 Principal Investigator: Roland Sands Brief Description: The SGM projects economic activity, energy consumption and greenhouse gas emissions for each region in five-year time steps from 1990 through 2050. Purpose Project economic activity, energy consumption and greenhouse gas emissions for various regions. Performer Principal Investigator: Roland Sands Organization: Pacific Northwest National Laboratory (PNNL) Address: 8400 Baltimore Avenue, JGCRI College Park, MD 20740 Telephone: 301-314-6765 Email: roland.sands@pnl.gov Project Description Type of Project: Model Category: Energy Infrastructure, Environmental, Macro-Economic User Inputs: Factor productivity growth rates by sector (9 in SGM 98) and region; capital stocks by vintage, demographic determinants (endogenous demographics), fossil and non-fossil fuel resources

91

Modelling the world wool market: A hybrid approach  

Science Journals Connector (OSTI)

We present a model of the world wool market that merges two modelling traditions: the partial-equilibrium commodity-specific approach and the computable-general-equilibrium approach. The model captures the multistage nature of the wool production system, and the heterogeneous nature of raw wool, processed wool and wool garments. It also captures the important wool producing and consuming regions of the world. We illustrate the utility of the model by estimating the effects of tariff barriers on wool products using partial- and general-equilibrium solutions. We find that either solution generates similar wool industry results, whereas the macroeconomic effects differ significantly with the partial-equilibrium estimates significantly overestimating the benefits of the tariff changes.

George Verikios

2009-01-01T23:59:59.000Z

92

The National Energy Modeling System: An Overview 2000 - Transportation  

Gasoline and Diesel Fuel Update (EIA)

transportation demand module (TRAN) forecasts the consumption of transportation sector fuels by transportation mode, including the use of renewables and alternative fuels, subject to delivered prices of energy fuels and macroeconomic variables, including disposable personal income, gross domestic product, level of imports and exports, industrial output, new car and light truck sales, and population. The structure of the module is shown in Figure 8. transportation demand module (TRAN) forecasts the consumption of transportation sector fuels by transportation mode, including the use of renewables and alternative fuels, subject to delivered prices of energy fuels and macroeconomic variables, including disposable personal income, gross domestic product, level of imports and exports, industrial output, new car and light truck sales, and population. The structure of the module is shown in Figure 8. Figure 8. Transportation Demand Module Structure NEMS projections of future fuel prices influence the fuel efficiency, vehicle-miles traveled, and alternative-fuel vehicle (AFV) market penetration for the current fleet of vehicles. Alternative-fuel shares are projected on the basis of a multinomial logit vehicle attribute model, subject to State and Federal government mandates.

93

WHEN G.I. JOE COMES HOMES  

Science Journals Connector (OSTI)

AT LEAST 15,000 chemists and chemical engineers are in the Armed Forces. With the ending of the European War many will be returning to civilian life. The rights and benefits of veterans who are honorably discharged from the services are explained fully in ...

1944-10-25T23:59:59.000Z

94

Applied Dynamic Analysis of the Global Economy (ADAGE) Model | Open Energy  

Open Energy Info (EERE)

Applied Dynamic Analysis of the Global Economy (ADAGE) Model Applied Dynamic Analysis of the Global Economy (ADAGE) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Agency/Company /Organization: Research Triangle Institute Sector: Climate, Energy Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Electricity Markets Analysis (EMA) Model Cost: Paid Applied Dynamic Analysis of the Global Economy (ADAGE) Model Screenshot

95

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

INTRODUCTION INTRODUCTION blueball.gif (205 bytes) Purpose of NEMS blueball.gif (205 bytes) Representations of Energy Market blueball.gif (205 bytes) Technology Representation blueball.gif (205 bytes) External Availability The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. 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, 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.

96

The National Energy Modeling System: An overview  

SciTech Connect (OSTI)

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.

Not Available

1994-05-01T23:59:59.000Z

97

Essays on International Finance and Macroeconomics  

E-Print Network [OSTI]

1.10.2 DMW test . . . . . . . . . . . . . . . . . . .Tests . . . . . . . . . . . . . . . . . . . . . . . . . DMWOS LRV estimators . . . . . . . . . . . . . DMW test: OS LRV

Kim, Young Ju

2014-01-01T23:59:59.000Z

98

Three Essays in Macroeconomics and Financial Economics  

E-Print Network [OSTI]

the vector xt to also include these lagged values. Consequently, x0t ? [y ? r? pi? g? o? pi o] ? . On the other hand, ?t = [a e z ?r] ? . The corresponding matrices A, B, and C are then given by A = ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 0 ?1 0 0 0 1...(5x2) 0 (2x5) ?22(2x2) ? ? ? . Next, let x1t = Z ? x0t such that, in particular, x1t = ? ? ? x11t x12t ? ? ? , where x11t(5x1) = Z ? 11 ? ? ? ? ? ? ? ? ? ? ? ? y?1 r?1 pi?1 g?1 o?1 ? ? ? ? ? ? ? ? ? ? ? ? +Z ? 21 ? ? ? pi o ? ? ? (1.57) and x12t...

Kacaribu, Febrio

2014-05-31T23:59:59.000Z

99

Essays on frictions in financial macroeconomics  

E-Print Network [OSTI]

Apr. 1992, 100 (2), pp. Bettis, J. C. , J. L. Coles, and M.of insider in- formation. Bettis et al. (2000) established

Kay, Benjamin S.

2012-01-01T23:59:59.000Z

100

Prospects for Irish macroeconomic recovery and stability  

Science Journals Connector (OSTI)

Most accounts of Ireland's recent financial and budget crises focus on the failure and questionable practices of banks, the decision by the Irish government to guarantee the debt accumulated by the Irish banks, and the subsequent financial collapse that occurred as international creditors recognised the grave difficulties that Ireland faced in repaying its debt. Our analysis puts the challenges resulting from these events into a larger historical and political context. We contend that the problems Ireland is confronting are best understood as a property bubble, accompanied by regulatory lapses and structural problems in public finance. With respect to problems created by the collapse of the Celtic Tiger, we argue that export-oriented growth, though not a panacea, continues to provide the opportunity for Ireland to grow its economy despite a massive debt and the need for international support for financing this debt.

Nancy Bertaux; Timothy White

2012-01-01T23:59:59.000Z

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


101

Annual Energy Outlook 2002 with Projections to 2020 - Model Results  

Gasoline and Diesel Fuel Update (EIA)

Model Results To view PDF Files, Download Free Copy of Adobe Reader Get Acrobat Reader Logo AEO2002 Report Available Formats Entire AEO Report as Printed (PDF, 2,292KB) Preface (PDF, 52KB) Overview (PDF, 117KB) Legislation and Regulations (PDF, 119KB) Issues in Focus (PDF, 172KB) Market Trends Macroeconomic & International Oil Market (PDF, 99KB) Energy Demand (PDF, 99KB) Electricity (PDF, 99KB) Oil and Gas (PDF, 99KB) Coal & Carbon Emissions (PDF, 99KB) Forecast Comparisons (PDF, 83KB) List of Acronyms (PDF, 99KB) Notes and Sources (PDF, 99KB) AEO2002 Appendix Tables XLS format A - Reference Case Forecast PDF (243KB) Reference Case Forecast, Annual 1999-2020 PDF (345KB), HTML, XLS B - Economic Growth Case Comparisons PDF (277KB)

102

EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System: An Overview 2003 This report provides a summary description of the NEMS which was used to generate the projections of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003. Preface Introduction Overview of NEMS Carbon Dioxide and Methane Emissions Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Renewable Fuels Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Bibliography Download the Report NEMS: An Overview 2003 Cover. Need help, contact the National Energy Information Center at 202-586-8800.

103

Modeling  

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

a single-fluid diffuse interface model in the ALE-AMR hydrodynamics code to simulate surface tension effects. We show simula- tions and compare them to other surface tension...

104

Modeling  

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

sion effects. We show the result of a test case, and compare it to the result without surface tension. The model describes droplet formation nicely. Application The ARRA-funded...

105

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.

106

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

107

The National Energy Modeling System: An Overview 2000 - appendix  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, Integrating Module of the National Energy Modeling System: Model Documentation DOE/EIA-M057(2000) (Washington, DC, December 1999). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2000) (Washington, DC, December 1999). Energy Information Administration, Documentation of the DRI Model of the U.S. Economy, DOE/EIA- M061 (Washington, DC, December 1993). Energy Information Administration, NEMS International Energy Module: Model Documentation Report, DOE/EIA-M071(99) (Washington, DC, February 1999).

108

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

109

EIA - The National Energy Modeling System: An Overview 2003-Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. 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). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This 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. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

110

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

111

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

112

CS 294-2 Quantum Circuit Model, Solovay-Kitaev Theorem, BQP Fall 2004 Lecture 4  

E-Print Network [OSTI]

,...,gl G : ||U -Ug1Ug2 ...Ugl || where by Ugi ("usage of gi") we represent the tensor product of the gate gi with the identity operator for an appropriate number of qubits so that Ugi is a unitary

Vazirani, Umesh

113

Identification of powered parafoil-vehicle dynamics from modelling and flight test data  

E-Print Network [OSTI]

S consisting of N particles P1,...,PN, suppose that n -m gen- eralized speeds have been introduced, and let vPir denote the rth partial velocity of Pi. Then, if Ri is the resultant of all contact and body forces acting on Pi, then the n -m quantities F1,...,Fn-m...IDENTIFICATION OF POWERED PARAFOIL-VEHICLE DYNAMICS FROM MODELLING AND FLIGHT TEST DATA A Dissertation by GI-BONG HUR Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree...

Hur, Gi-Bong

2006-08-16T23:59:59.000Z

114

Quantitative modelling of electricity consumption using computational intelligence aided design  

Science Journals Connector (OSTI)

Abstract High electricity consumption is of concern to the world for a variety of reasons, including its social-economic-environmental coupled impacts on well-being of individuals, social life and the federal energy policies. This paper proposes a quantitative model to examine the long-term relationship between annual electricity consumption and its major macroeconomic variables, including gross domestic product, electricity price, efficiency, economic structure, and carbon dioxide emission, using computational intelligence aided design (CIAD). It develops a firefly algorithm with variable population (FAVP) to obtain the parameters of the electricity consumption model through optimising two proposed trend indices: moving mean of the average precision (mmAP) and moving mean of standard derivation (mmSTD). The model is validated with empirical electricity consumption data in China between 1980 and 2012, based on which the error of approximations between 1980 and 2009 is 15% and the error of predictions between 2010 and 2012 is [?8%,?5%]. The main contributions of this research are to develop: (1) a novel quantitative model that can accurately predict the social, economic and environmental coupled impacts on the annual electricity demands; (2) the conceptual CIAD framework; (3) FAVP algorithm; and (4) two new trend indices of mmAP and mmSTD. The findings of this research can assist the decision makers in resolving the conflict between energy consumption growth and carbon emission reduction without dooming the economic prosperity in the long run.

Yi Chen; Guangfeng Zhang; Tongdan Jin; Shaomin Wu; Bei Peng

2014-01-01T23:59:59.000Z

115

Quantifying the potential impact of energy efficiency and low carbon policies for China  

E-Print Network [OSTI]

y) cooling ?(y) All Buildings Modeling Parameter 45% heatingModeling Methodology 5 2.1. Macroeconomic Drivers 6 2.2. Building

Zhou, Nan

2014-01-01T23:59:59.000Z

116

Toward an ontology framework supporting the integration of geographic information with modeling and simulation for critical infrastructure protection  

SciTech Connect (OSTI)

Protecting the nation's infrastructure from natural disasters, inadvertent failures, or intentional attacks is a major national security concern. Gauging the fragility of infrastructure assets, and understanding how interdependencies across critical infrastructures affect their behavior, is essential to predicting and mitigating cascading failures, as well as to planning for response and recovery. Modeling and simulation (M&S) is an indispensable part of characterizing this complex system of systems and anticipating its response to disruptions. Bringing together the necessary components to perform such analyses produces a wide-ranging and coarse-grained computational workflow that must be integrated with other analysis workflow elements. There are many points in both types of work flows in which geographic information (GI) services are required. The GIS community recognizes the essential contribution of GI in this problem domain as evidenced by past OGC initiatives. Typically such initiatives focus on the broader aspects of GI analysis workflows, leaving concepts crucial to integrating simulations within analysis workflows to that community. Our experience with large-scale modeling of interdependent critical infrastructures, and our recent participation in a DRS initiative concerning interoperability for this M&S domain, has led to high-level ontological concepts that we have begun to assemble into an architecture that spans both computational and 'world' views of the problem, and further recognizes the special requirements of simulations that go beyond common workflow ontologies. In this paper we present these ideas, and offer a high-level ontological framework that includes key geospatial concepts as special cases of a broader view.

Ambrosiano, John J [Los Alamos National Laboratory; Bent, Russell W [Los Alamos National Laboratory; Linger, Steve P [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

117

GI12-Paper - DR in AS Markets 20121115 Final  

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

8E 8E Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets Jason MacDonald Lawrence Berkeley National Laboratory Peter Cappers Lawrence Berkeley National Laboratory Duncan Callaway University of California, Berkeley Sila Kiliccote Lawrence Berkeley National Laboratory November 2012 Presented at Grid-Interop 2012, Irving, TX, December 3-6, 2012, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes

118

ClRe GiOuPr Journal of DISCOVERY  

E-Print Network [OSTI]

Center researcher Sherry Chow, PhD, and colleagues have discovered antioxidants in green tea that can of the huge variety of work under way here. Read about green tea as a cancer preventive agent, exciting of Regents. The University of Arizona is an EEO/AA ­ M/W/D/V Employer. 2 | Going Green | Arizona Cancer

Arizona, University of

119

abstract book GiGaHertz SympoSium 2008  

E-Print Network [OSTI]

GHz Symposium 2008 Platinum sponsor: Swedish Governmental Agency for Innovation Systems (VINNOVA) www. Emrich FOI, Chalmers, Fraunhofer

Rodwell, Mark J. W.

120

Estimation of uranium GI absorption fractions for children and adults  

Science Journals Connector (OSTI)

......the ratios of energy expenditures...microg l1. This average concentration...percentage of homes on private well...percentage of homes changed from...the daily water consumption and the uranium...determined from the average value of uranium...Canada. Tap water consumption in Canada......

J. Chen; D. Lariviere; R. Timmins; K. Verdecchia

2011-03-01T23:59:59.000Z

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


121

Ris Ris-M-GiD Title and authors)  

E-Print Network [OSTI]

-^ooo Roskilde, Denmark Telephone: (03) 35 51 01« ext. 33*»« telex: INIS Descriptors CALIBRATION DOSE

122

Multi-ModalRecordingandGI % Analysis ofInteractionamongrn  

E-Print Network [OSTI]

the scoring of the rnulti- pie, synchronous alv recordings and analysis and multimedia visualization

123

Ventana's Energy, Environment, Economy-Society (E3S) Model | Open Energy  

Open Energy Info (EERE)

Ventana's Energy, Environment, Economy-Society (E3S) Model Ventana's Energy, Environment, Economy-Society (E3S) Model Jump to: navigation, search Tool Summary Name: Energy, Environment, Economy-Society (E3S) Model Agency/Company /Organization: Ventana Systems Inc. Partner: United States Department of Energy Sector: Climate, Energy Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Not Available Website: www.ventanasystems.com/modelpage.php?modelID=11 Country: China UN Region: South-Eastern Asia Coordinates: 35.86166°, 104.195397° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.86166,"lon":104.195397,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

124

The Current Account and Macroeconomic Policy: An Econometric Analysis  

Science Journals Connector (OSTI)

Beginning in late 1982, a huge gap between domestic saving and domestic investment began to develop in the U.S.; and this gap has remained large through 1987. Investment recovered rapidly after the 19811982 r...

John B. Taylor

1989-01-01T23:59:59.000Z

125

Uncertainty in macroeconomic policy-making: art or science?  

Science Journals Connector (OSTI)

...systems. In the latter, there is no one listening. The control strategy in a physical system...the right, was introduced as our main device for communicating about the outlook...An alternative is to design a graphical device that prevents the illusion of spurious...

2011-01-01T23:59:59.000Z

126

KDD Project Thesis Data Mining in Macroeconomic Data Sets  

E-Print Network [OSTI]

.......................................................................................................................... 34 Appendix ­ Oil Price Chronology-sector dependence evolution by investigating the historical EIO data over the years 1947-1982. Here we make

Gordon, Geoffrey J.

127

Three essays on empirical macroeconomics and financial markets  

E-Print Network [OSTI]

................................................................................................................ 10 1.6 Data .................................................................................................................... 14 1.7 Estimation and implications ............................................................................... 15 1... more data in future research ........................................................... 22 1.10 Conclusions ...................................................................................................... 22 2 Chapter 2: Do repurchase agreement...

Chen, Lili

2012-08-21T23:59:59.000Z

128

Economics 309 Fall 2000 Macroeconomics I Mr. Miller  

E-Print Network [OSTI]

of Monetary Economics, September 1982. 3. Perron, "The Great Crash, the Oil Price Shock, and the Unit Root. Introduction (1 week) A. Method of Analysis B. Measurement Issues 1. Trends and Cycles 2. National Income Accounting 3. Saving and Investment 4. Price Level and Interest Rates 5. Employment and Unemployment Readings

Ahmad, Sajjad

129

16th CONFERENCE OF THE RESEARCH NETWORK MACROECONOMICS AND  

E-Print Network [OSTI]

and accompanied by market- friendly (de)regulatory mechanisms mainly founded on the belief that liberalised systemic failures and their consequences in the capitalist economy. Keywords: Financial liberalisation of financial liberalisation-modernisation policies implemented all around the World since the 1970s. Its scope

Boyer, Edmond

130

Essays in Empirical Macroeconomics: Applications to the GCC Monetary Union  

E-Print Network [OSTI]

.............................................................................................................50 Figure 3.1: Impulse Response Functions to an Oil Price Shock........................................84 Figure 3.2: Impulse Response Functions to an Oil Production Shock..............................85 Figure 3.3: Impulse Response Functions to a... of the GCC area. I then outline the essential motivations and research objectives of this dissertation. 1 Characteristics of the GCC Area 1.1 Historical Background In May 1981, the six Head of States of Bahrain, Kuwait, Oman, Qatar, Saudi Arabia...

Al-Hassan, Abdullah Mohammed

2008-01-01T23:59:59.000Z

131

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

SciTech Connect (OSTI)

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.

Zheng, Nina; Zhou, Nan; Fridley, David

2010-09-01T23:59:59.000Z

132

THE EFFECTS OF HIV INFECTION ON THE EXPRESSION OF THE DRUG EFFLUX PROTEINS P-GLYCOPROTEIN AND BREAST CANCER RESISTANCE PROTEIN IN A HUMAN INTESTINE MODEL  

E-Print Network [OSTI]

Background: Emerging evidence suggests poor antiretroviral penetration within human gastrointestinal (GI) tissues may contribute to HIV persistence within reservoirs despite effective therapy. We hypothesize that HIV ...

Ellis, Kelstan Lynch

2012-08-31T23:59:59.000Z

133

Basic model Basic model  

E-Print Network [OSTI]

Early days Basic model Literature Classical literature Bayes pre-MCMC Bayes post-MCMC Basic model systems via latent factors Hedibert Freitas Lopes Booth School of Business University of Chicago Col / 66 #12;Early days Basic model Literature Classical literature Bayes pre-MCMC Bayes post-MCMC Basic

Liu, I-Shih

134

OR I GI N A L S I GN E D B Y OR I GI N A L S I GN...  

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

Performance. c) Radiological Safety improvements. d) Work Control process and Conduct of Operations improvements (e.g., work packageprocedure development, field implementation...

135

An analysis of oil supply disruption scenarios  

E-Print Network [OSTI]

This report brings the results of simulations of some oil supply disruptions on the M.I.T. Energy Laboratory Energy Macro Model. This model has previously been used to study the macroeconomic effects of the 1973-74 and ...

Mork, Knut Anton

1981-01-01T23:59:59.000Z

136

J Stat Phys (2013) 151:131149 DOI 10.1007/s10955-012-0635-2  

E-Print Network [OSTI]

, emergence of extremism and so on. One of the main problems addressed by some of these models is whether- garding the legalization of drugs or abortion, or predictions about macroeconomic variables. Two models

Toral, Raúl

137

E-Print Network 3.0 - avian gis models Sample Search Results  

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

3 Students must select 6 credits from each... of the areas below. GI SCIENCE GEO 4167C Spatial Data Analysis 3 GIS 4021C ... Source: Fernandez, Eduardo - Department of Computer...

138

A Mechanistic Treatment of the Dominant Soil Nitrogen Cycling Processes: Model Development, Testing, and Application  

E-Print Network [OSTI]

in the gas phase as @C wi K GDi @C gi RT Q x ji @t GD @tK), respectively, and K GDi is the equilibri- um constant (

Maggi, F.

2008-01-01T23:59:59.000Z

139

Analysis of the NAEG model of transuranic radionuclide transport and dose  

SciTech Connect (OSTI)

We analyze the model for estimating the dose from /sup 239/Pu developed for the Nevada Applied Ecology Group (NAEG) by using sensitivity analysis and uncertainty analysis. Sensitivity analysis results suggest that the air pathway is the critical pathway for the organs receiving the highest dose. Soil concentration and the factors controlling air concentration are the most important parameters. The only organ whose dose is sensitive to parameters in the ingestion pathway is the GI tract. The air pathway accounts for 100% of the dose to lung, upper respiratory tract, and thoracic lymph nodes; and 95% of its dose via ingestion. Leafy vegetable ingestion accounts for 70% of the dose from the ingestion pathway regardless of organ, peeled vegetables 20%; accidental soil ingestion 5%; ingestion of beef liver 4%; beef muscle 1%. Only a handful of model parameters control the dose for any one organ. The number of important parameters is usually less than 10. Uncertainty analysis indicates that choosing a uniform distribution for the input parameters produces a lognormal distribution of the dose. The ratio of the square root of the variance to the mean is three times greater for the doses than it is for the individual parameters. As found by the sensitivity analysis, the uncertainty analysis suggests that only a few parameters control the dose for each organ. All organs have similar distributions and variance to mean ratios except for the lymph modes. 16 references, 9 figures, 13 tables.

Kercher, J.R.; Anspaugh, L.R.

1984-11-01T23:59:59.000Z

140

A Self-Consistent Method to Assess Air Quality Co-Benefits from US Climate Policies  

E-Print Network [OSTI]

Air quality co-benefits can potentially reduce the costs of greenhouse gas mitigation. However, while many studies of the cost of greenhouse gas mitigation model the full macroeconomic welfare impacts, most studies of air ...

Saari, R.

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


141

Modeling & Simulation  

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

Modeling & Simulation Modeling & Simulation Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this...

142

RUSSIAN ACADEMY OF SCIENCE G.I. BUDKER INSTITUTE OF NUCLEAR PHYSICS  

E-Print Network [OSTI]

-discharge with a frequency of 4.6 MHz. The plasma is generated with external RF antenna inside a ceramic cylinder (7.V. Sorokin, I.V. Shikhovtsev SINGLE APERTURE 70 mA, 50 keV RADIO-FREQUENCY PROTON SOURCE Budker INP 2010-24 Novosibirsk 2010 #12;2 Single aperture 70mA, 50 keV radio-frequency proton source I.I. Averbukh, V.P. Belov, V

143

Abstract 07: Challenges of applying tumor genome analysis to the germline: Examples from GI oncology  

Science Journals Connector (OSTI)

...provide a framework for pre- and post-test consent and counseling for these patients...Patients were grouped based on their post-test probability of possessing a potentially...of the genes within accepted panels that test for inherited cancer syndromes. Patient...

Andrea Amico; Sarah Nielsen; Daniel Geynisman; Brittany Rambo; George Ben Carey; Cassandra Gulden; Jim Fackenthal; Olufunmilayo Olopade; Daniel Catenacci

2014-12-01T23:59:59.000Z

144

In Proc. 12 GI/ITG Fachtagung Kommunikation in Verteilten Systemen (KiVS), Hamburg,  

E-Print Network [OSTI]

and corporate intranets. The basic idea of GPRS is to provide a packet-switched bearer service in a GSM network under a given GSM call characteristic [4]. For analytical tractability, they assumed exponentially

Lindemann, Christoph

145

A. E. K. Ris Ris-M-GiTM Title and author(s)  

E-Print Network [OSTI]

of the abundances of uranium, thorium, and potassium in a geologic formation containing these elements '. The volume

146

E-Print Network 3.0 - acute gi bleeding Sample Search Results  

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

Neurosciences, University of California at San Diego Collection: Biology and Medicine 20 ADVERTISING SPECS Full Page (bleed) Summary: ADVERTISING SPECS Full Page (bleed) Inside...

147

Stellar loci II. a model-free estimate of the binary fraction for field FGK stars  

E-Print Network [OSTI]

We propose a Stellar Locus OuTlier (SLOT) method to determine the binary fraction of main-sequence stars statistically. The method is sensitive to neither the period nor mass-ratio distributions of binaries, and able to provide model-free estimates of binary fraction for large numbers of stars of different populations in large survey volumes. We have applied the SLOT method to two samples of stars from the SDSS Stripe 82, constructed by combining the re-calibrated SDSS photometric data with respectively the spectroscopic information from the SDSS and LAMOST surveys. For the SDSS spectroscopic sample, we find an average binary fraction for field FGK stars of $41%\\pm2%$. The fractions decrease toward late spectral types, and are respectively $44%\\pm5%$, $43%\\pm3%$, $35%\\pm5%$, and $28%\\pm6%$ for stars of $g-i$ colors between 0.3 -- 0.6, 0.6 -- 0.9, 0.9 -- 1.2, and 1.2 - 1.6\\,mag. A modest metallicity dependence is also found. The fraction decreases with increasing metallicity. For stars of [Fe/H] between $-0.5$...

Yuan, Haibo; Xiang, Maosheng; Huang, Yang; Chen, Bingqiu

2014-01-01T23:59:59.000Z

148

Lifecycle Model  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter describes the lifecycle model used for the Departmental software engineering methodology.

1997-05-21T23:59:59.000Z

149

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2003), (Washington, DC, January 2003).

150

Modeling Transformation  

E-Print Network [OSTI]

Modeling Transformation What does each step do? #12;Transformation Procedure #12;Transformation Procedure #12;Building Your Model Yarn = chromosomal DNA Beads - - - - - - - - - - - - - - Ribosomes #12;Add transformation solution Tube CaCl2 #12;Transformation solution: CaCl2

Rose, Michael R.

151

BUSINESS CYCLES, FISCAL STABILIZATION AND VERTICAL FOREIGN DIRECT INVESTMENT: ESSAYS IN INTERNATIONAL MACROECONOMICS  

E-Print Network [OSTI]

find labor market distortions to be crucial in accounting for the episode, suggesting that the policies of the time were well targeted and effective. The third chapter of my dissertation studies policy coordination in a two-country framework allowing...

Kersting, Erasmus K.

2010-01-16T23:59:59.000Z

152

Essays in Applied Macroeconomics: Asymmetric Price Adjustment, Exchange Rate and Treatment Effect  

E-Print Network [OSTI]

in weekly retail gasoline prices Chapter III discusses the relationship between fiscal deficit and exchange rate. Economic theory predicts that fiscal deficits can significantly affect real exchange rate movements, but existing empirical evidence reports...

Gu, Jingping

2009-05-15T23:59:59.000Z

153

Macroeconomic Theory MW 5:30 to 6:45 PM  

E-Print Network [OSTI]

of Monetary Economics, September 1982. 3. Perron, "The Great Crash, the Oil Price Shock, and the Unit Root. Introduction (1 week) A. Method of Analysis B. Measurement Issues 1. Trends and Cycles 2. National Income Accounting 3. Saving and Investment 4. Price Level and Interest Rates 5. Employment and Unemployment Readings

Ahmad, Sajjad

154

Macroeconomic Theory MW 7:00 to 8:15 PM  

E-Print Network [OSTI]

of Monetary Economics, September 1982. 3. Perron, "The Great Crash, the Oil Price Shock, and the Unit Root. Introduction (1 week) A. Method of Analysis B. Measurement Issues 1. Trends and Cycles 2. National Income Accounting 3. Saving and Investment 4. Price Level and Interest Rates 5. Employment and Unemployment Readings

Ahmad, Sajjad

155

Transatlantic trade and investment partnership: sectoral and macroeconomic perspectives for Germany, the EU and the US  

Science Journals Connector (OSTI)

The EU and the US have started negotiations on a Transatlantic Trade and Investment Partnership Agreement (TTIP)...

Paul J. J. Welfens; Tony Irawan

2014-09-01T23:59:59.000Z

156

Macro-Industrial Working Group: meeting 1  

Gasoline and Diesel Fuel Update (EIA)

30 2013 Macroeconomic team: Kay Smith, Russ Tarver, Elizabeth Sendich and Vipin Arora Briefing on Macroeconomic Reference Case for the Annual Energy Outlook 2014 Macroeconomic...

157

Model Building  

E-Print Network [OSTI]

In this talk I begin with some general discussion of model building in particle theory, emphasizing the need for motivation and testability. Three illustrative examples are then described. The first is the Left-Right model which provides an explanation for the chirality of quarks and leptons. The second is the 331-model which offers a first step to understanding the three generations of quarks and leptons. Third and last is the SU(15) model which can accommodate the light leptoquarks possibly seen at HERA.

Paul H. Frampton

1997-06-03T23:59:59.000Z

158

PREDICTIVE MODELS  

SciTech Connect (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

1988-10-01T23:59:59.000Z

159

A diffusion approximation approach to stochastic modeling of air conditioning type loads  

E-Print Network [OSTI]

that the air conditioning unit is on and off. In the followino equations, TNIN and TNAX are the lower and upper limit temperatures of the thermostat deadband and To is the outside temperature. Gi 2Gw To Tw Cw Ci $ QeXt To - outside temperature Tw - wall... temperature Ti - inside temperature Gw ? thermal conductance of wall Gi - thermal conductance of air Cw - thermal capacitance of wall Ci ? thermal capacitance of air Qe - rated capacity of cooling unit Xt - zero-one process describing the switching...

Roy, Teresa Henryka

1981-01-01T23:59:59.000Z

160

Biosystems Modeling  

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

Biosystems Modeling Biosystems Modeling Phantoms We are a leader nationally and internationally in the development of models and methods for predicting the behavior of radionuclides and chemicals in the body, assessing the health effects of environmental hazards, and determining the exposure-dose relationships for environmental pollutants. Our work has been a key resource to the medical community in providing the basis for dose estimates in nuclear medicine. Our tools and skills are also applicable to the areas of occupational health and safety, public health and safety, radiation protection, environmental dosimetry, and battlefield effects. Our technology base includes mathematical modeling, bone dosimetry, phantom development, and neutron dosimetry. Please direct any questions concerning the Biosystems Modeling Group to:

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


161

ISDAC Modeling  

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

Modeling Modeling Modeling of aerosol effects on Arctic stratiform clouds: Preliminary results from the ISDAC case study (poster 13J) Mikhail Ovchinnikov, Steve Ghan, Jiwen Fan, Xiaohong Liu (PNNL), Alexei Korolev, Peter Liu (Env. Canada) Shaocheng Xie (LLNL), Hugh Morrison (NCAR), ISDAC PI's, and members of the CMWG 2 Indirect Semi-Direct Aerosol Campaign Science questions: How do properties of the arctic aerosol during April differ from those measured during the MPACE in October? To what extent do the different properties of the arctic aerosol during April produce differences in the microphysical and macrophysical properties of clouds and the surface energy balance? To what extent can cloud models and the cloud parameterizations used in climate models simulate the sensitivity of arctic clouds and

162

OSPREY Model  

SciTech Connect (OSTI)

The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

Veronica J. Rutledge

2013-01-01T23:59:59.000Z

163

What is a model? Why modelling?  

E-Print Network [OSTI]

What is a model? Why modelling? Which models? What is a useful model? How done? Demo vowels Symposium on Phonetic Frontiers, Pékin : Chine (2008)" #12;What is a model? Why modelling? Which models? What is a useful model? How done? Demo vowels consonants Other uses speaker anatomy speaker strategy

Boyer, Edmond

164

PGMA Model  

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

PGMA Model PGMA Model PM-G1-F1-012802.doc Revised January 28, 2002 Page 1 The PGMA (Policy, Guidance, Metrics, Assessments) was originally conceived as a model to provide the framework for developing the components for DOE Information Technology (IT) related policies. Its specific purpose is to drive the development of the four components and ensure a corresponding element within each component. The model components are: POLICY C A concise statement supporting the Department=s needs for quality business solutions. C Link to existing IT policy statements without redundancy. GUIDANCE C Documentation, templates, references, checklists, training, (using Web and other means) to provide implementation mechanisms and techniques for policy adherence.

165

Automated Modelling  

Science Journals Connector (OSTI)

The previous chapters presented the fundamentals of bond graph methodology and its potential in tackling some basic problems in various application areas, e.g. models of variable structure (Chapter 7), lumped ...

2010-01-01T23:59:59.000Z

166

PREDICTIVE MODELS  

SciTech Connect (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

1986-12-01T23:59:59.000Z

167

Model Comparison of Avalanche Models  

Science Journals Connector (OSTI)

Vertically resolved profiles of the mean downslope flow velocity of snow have been measured on the snow chute of the SLF at Weissfluhjoch during winter 2003/04. We used correlation of reflexivity measurements at the side walls and at the centerline of the chute. Several possible physical scenarios describing the snow flow lead to different models with different degrees of freedom. Bayesian model comparison has been used to answer the question which of the physical models is most likely in the light of the available data.

U. von Toussaint; M. Kern

2005-01-01T23:59:59.000Z

168

Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm  

Science Journals Connector (OSTI)

...The image processing software DrEye integrates imaging...toxicological data provide safety limits beyond which...inhibition 50 (GI50) or radiation 50 per cent lethal dose...into a single piece of software, several integrated...three-dimensional volumetric software: comparison of squamous...

2011-01-01T23:59:59.000Z

169

Criticality Model  

SciTech Connect (OSTI)

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).

A. Alsaed

2004-09-14T23:59:59.000Z

170

Sandia National Laboratories: Modeling  

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

Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy Surety, Grid Integration, Infrastructure Security, Modeling, Modeling & Analysis, News, News &...

171

A Microscale Gas Trapping Investigation Markus Buchgraber, Anthony R. Kovscek  

E-Print Network [OSTI]

A Microscale Gas Trapping Investigation Markus Buchgraber, Anthony R. Kovscek Department of Energy unit Residual Trapping Sgi Sg,max krg krg Sgt(Soi) Sgt,max Gas Saturation Gas relative Land Model * * ** 1 )( gi gi gigt CS S SS + = Sgf Sg Sgt,max kd rg Sg Gas Saturation

Stanford University

172

Modeling biomembranes.  

SciTech Connect (OSTI)

Understanding the properties and behavior of biomembranes is fundamental to many biological processes and technologies. Microdomains in biomembranes or ''lipid rafts'' are now known to be an integral part of cell signaling, vesicle formation, fusion processes, protein trafficking, and viral and toxin infection processes. Understanding how microdomains form, how they depend on membrane constituents, and how they act not only has biological implications, but also will impact Sandia's effort in development of membranes that structurally adapt to their environment in a controlled manner. To provide such understanding, we created physically-based models of biomembranes. Molecular dynamics (MD) simulations and classical density functional theory (DFT) calculations using these models were applied to phenomena such as microdomain formation, membrane fusion, pattern formation, and protein insertion. Because lipid dynamics and self-organization in membranes occur on length and time scales beyond atomistic MD, we used coarse-grained models of double tail lipid molecules that spontaneously self-assemble into bilayers. DFT provided equilibrium information on membrane structure. Experimental work was performed to further help elucidate the fundamental membrane organization principles.

Plimpton, Steven James; Heffernan, Julieanne; Sasaki, Darryl Yoshio; Frischknecht, Amalie Lucile; Stevens, Mark Jackson; Frink, Laura J. Douglas

2005-11-01T23:59:59.000Z

173

Perturbed Markovian probability models  

Science Journals Connector (OSTI)

Perturbed Markovian probability models ... Statistical Models and NMR Analysis of Polymer Microstructure ...

H. N. Cheng

1992-04-01T23:59:59.000Z

174

Noncommutative Standard Model: Model Building  

E-Print Network [OSTI]

A noncommutative version of the usual electro-weak theory is constructed. We discuss how to overcome the two major problems: 1) although we can have noncommutative U(n) (which we denote by $U_{\\star}(n)$) gauge theory we cannot have noncommutative SU(n) and 2) the charges in noncommutative QED are quantized to just $0, \\pm 1$. We show how the problem with charge quantization, as well as with the gauge group, can be resolved by taking $U_{\\star}(3)\\times U_{\\star}(2)\\times U_{\\star}(1)$ gauge group and reducing the extra U(1) factors in an appropriate way. Then we proceed with building the noncommutative version of the standard model by specifying the proper representations for the entire particle content of the theory, the gauge bosons, the fermions and Higgs. We also present the full action for the noncommutative Standard Model (NCSM). In addition, among several peculiar features of our model, we address the {\\it inherent} CP violation and new neutrino interactions.

M. Chaichian; P. Presnajder; M. M. Sheikh-Jabbari; A. Tureanu

2003-08-12T23:59:59.000Z

175

Complexity Theory May 23, 2013  

E-Print Network [OSTI]

21, 2013 7 gi z gi z1 z2 gi ­ z = 1 gi ­ z1z2 = 0 gi z1 z2 gi ­ (1-z1)(1-z2) = 1 ... and gout = 1

Umans, Chris

176

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994), plus Macroeconomic Activity Module (MAM): Kernel Regression Documentation of the National Energy Modeling System 1999, DOE/EIA-M065(99), Washington, DC, 1999).

177

CHNG 5 CHNG TRNH KHI PHC SM XUT: PHT TRIN V NH GI CC GII PHP ...............................................................................................................................................................1  

E-Print Network [OSTI]

Lng Môi Trng(CEQ) v vic thc hin Chính Sách Lut Môi Trng Quc Gia (NEPA) cng hng dn các t chc nghiên cu hp lý nu áp ng c mc tiêu và yêu cu ra, khôi phc hoc làm tng cht lng môi trng nhân sinh, và phòng tránh hoc gim thiu các hiu ng tiêu cc t hành ng ca các t chc ti cht lng môi trng nhân sinh (40 C

178

nh Gi Thit Hi Ti Nguyn Thin Nhin ca V Trn Du Deepwater Horizon Cc D n Khu Vc  

E-Print Network [OSTI]

Lng Sò ip Nhm Tng C Hi ánh Bt Gii Trí Trong Vùng Cán Xong Florida s c thc hin Qun Bay (h thng Vnh St Okaloosa và Walton. Lý tng ra thì bng cách thc hin d án này,s lng sò ip ti các a im c can thip cui cùng có th s tng lên ti các mc t duy trì bn vng c cho vic ánh bt gii trí. S lng sò ip các Qun Gulf và

179

nh Gi Thit Hi Ti Nguyn Thin Nhin ca V Trn Du Deepwater Horizon Cc D n Qun Franklin  

E-Print Network [OSTI]

Công Viên Bald Point Ca Tiu Bangc xut s xây dng các mái che cm tri, các li i lót ván, và mt nhà v sinh vi h thng x lý bng khí và bãi thi ti Công Viên Bald Point ca Tiu bang Alligator Point. Ngoài ra u xe kèm theo ti Cash Bayou. Xut Ci To Công Viên và Dc Th Thuyn Qun Franklin: D án Công Viên Indian

180

itcGill Radarl{eather 0bservatory _ llacdonald Campusof l'lcGiI I Unj verii tv  

E-Print Network [OSTI]

-p."Oi.t, D = _4/3, 5/3 for isouarsiro-ii"irl..ils=.espect_ iye'ly, in a two-dinnnsionalc"oii_ie.iion

Lovejoy, Shaun

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


181

The National Energy Modeling System: An Overview 1998 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

ELECTRICITY MARKET MODULE ELECTRICITY MARKET MODULE blueball.gif (205 bytes) Electricity Capacity Planning Submodule blueball.gif (205 bytes) Electricity Fuel Dispatch Submodule blueball.gif (205 bytes) Electricity Finance and Pricing Submodule blueball.gif (205 bytes) Load and Demand-Side Management Submodule blueball.gif (205 bytes) Emissions The electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition,

182

Annual Energy Outlook 2000 - Model Results & Report  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage AEO2000 Report Available Formats Entire AEO Report as Printed (PDF, 2.2MB) Overview (PDF, 102KB) Legislation and Regulations (PDF, 63KB) Issues in Focus (PDF, 274KB) Market Trends Macroeconomic & International Oil Markets (PDF, 92KB) Energy Demand (PDF, 120KB) Electricity (PDF, 129KB) Oil and Gas (PDF, 134KB) Coal & Carbon Emissions (PDF, 115KB) Forecast Comparisons (PDF, 78KB) AEO2000 Appendix Tables (1997-2020) XLS files A - Reference Case Forecast PDF (314KB), HTML, XLS B - High Economic Growth Case Comparisons PDF (315KB), XLS B - Low Economic Growth Case Comparisons PDF (313KB), XLS C - High Oil Price Case Comparisons PDF (315KB), XLS C - Low Oil Price Case Comparisons PDF (314KB), XLS D - Crude Oil Equivalence Summary PDF (297KB)

183

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

184

2005 Annual Report Conference on Electrical Insulation and Dielectric Phenomena Parametric Modeling of Concentric Fringing Electric Field Sensors  

E-Print Network [OSTI]

of Concentric Fringing Electric Field Sensors X.B. Li, V.V. Inclan, G.I. Rowe, and A. V. Mamishev Sensors electric field (FEF) sensors are widely used for non-invasive measurement of material properties, such as porosity, viscosity, temperature, hardness, and degree of cure. FEF sensors have also been used to detect

Mamishev, Alexander

185

Model-to-model transformations by demonstration  

Science Journals Connector (OSTI)

During the last decade several approaches have been proposed for easing the burden of writing model transformation rules manually. Among them are Model Transformation By-Demonstration (MTBD) approaches which record actions performed on example models ... Keywords: by-demonstration, by-example, model transformations

Philip Langer; Manuel Wimmer; Gerti Kappel

2010-06-01T23:59:59.000Z

186

Model interoperability in building information modelling  

Science Journals Connector (OSTI)

The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling ... Keywords: Building Information Modelling, Interoperability

Jim Steel; Robin Drogemuller; Bianca Toth

2012-02-01T23:59:59.000Z

187

I&C Modeling in SPAR Models  

SciTech Connect (OSTI)

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.

John A. Schroeder

2012-06-01T23:59:59.000Z

188

Standard Solar Model  

SciTech Connect (OSTI)

Solar models are important in our understanding of stars and stellar evolution. Solar models have been constructed using different methods. In this work, a solar model will be built using the fitting method. The model will incorporate the most recent input data. The model will be evolved to the current epoch starting from the zero-age main sequence model.

Loong, Lim Yaw; Yusof, Norhasliza; Kassim, Hasan Abu [Physics Department, Faculty of Science, University of Malaya, 50603 Kuala Lumpur (Malaysia)

2008-05-20T23:59:59.000Z

189

Background Model formulation Patch model SIK model Conclusions War of the Worlds: Modelling the spread of an  

E-Print Network [OSTI]

Background Model formulation Patch model SIK model Conclusions War of the Worlds: Modelling the spread of an invasive species an #12;Background Model formulation Patch model SIK model Conclusions Model formulation Patch model SIK model Conclusions Outline 1 Background 2 Model formulation Equations

Linder, Tamás

190

Cognitive Modeling Cognitive Modelling -The nature of  

E-Print Network [OSTI]

Cognitive Modeling Cognitive Modelling - The nature of Connectionism and notes on computability Mathias Hinz Universität Bremen November 17, 2014 November 17, 2014 1 #12;Cognitive Modeling topic · Comparing PDP and nature · properties of PDP · computability · discussion November 17, 2014 2 #12;Cognitive

Bremen, Universität

191

The Standard Model Beyond the Standard Model  

E-Print Network [OSTI]

physics with top quark Search for Extra-dimensions Conclusions 1 The Standard Model Building block quark Search for Extra-dimensions Conclusions Building block The particles and forces The Standard Model the Standard Model New physics with top quark Search for Extra-dimensions Conclusions Building block

192

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA) Indexed Site

9b : U.S. Regional Macroeconomic Data 9b : U.S. Regional Macroeconomic Data Either scripts and active content are not permitted to run or Adobe Flash Player version ${version_major}.${version_minor}.${version_revision} or greater is not installed. Get Adobe Flash Player - = no data available Notes: The approximate break between historical and forecast values is shown with estimates and forecasts in italics. Regions refer to U.S. Census divisions. See "Census division" in EIA's Energy Glossary for a list of states in each region. Historical data: Latest data available from U.S. Department of Commerce, Bureau of Economic Analysis; Federal Reserve System, Statistical release G17. Minor discrepancies with published historical data are due to independent rounding. Projections: Macroeconomic projections are based on the Global Insight Model of the U.S. Economy

193

Entrainment Coal Gasification Modeling  

Science Journals Connector (OSTI)

Entrainment Coal Gasification Modeling ... Equivalent Reactor Network Model for Simulating the Air Gasification of Polyethylene in a Conical Spouted Bed Gasifier ... Equivalent Reactor Network Model for Simulating the Air Gasification of Polyethylene in a Conical Spouted Bed Gasifier ...

C. Y. Wen; T. Z. Chaung

1979-10-01T23:59:59.000Z

194

What are models for?  

Science Journals Connector (OSTI)

In this paper I discuss some of the purposes and functions of building models, particularly agent-based models, and present a comprehensive list of these purposes and functions. Careful thought and attention is needed when modeling domains containing ...

Peter McBurney

2011-11-01T23:59:59.000Z

195

Heterogeneous actor modeling  

Science Journals Connector (OSTI)

Complex systems demand diversity in the modeling mechanisms. This "roadmap" paper prescribes an approach to modeling based on concurrent communicating components actors), where a diversity of orchestration strategies govern the execution and interaction ... Keywords: heterogeneity, models of computation, ptolemy

Edward A. Lee

2011-10-01T23:59:59.000Z

196

Review: Data Modeling Handbook  

Science Journals Connector (OSTI)

......Review Review: Data Modeling Handbook Reviewed by Mike Jackson Reader...Wolverhampton Data Modeling Handbook Michael C. Reingruber and...England, Bristol Data Modeling Handbook Michael C. Reingruber and...a programming language. It does not contain much detail about......

Mike Jackson

1996-04-01T23:59:59.000Z

197

Hydrogen Delivery Analysis Models  

Broader source: Energy.gov [DOE]

DOE H2A Delivery Models: Components Model (delivery system component costs and performance) and Scenario Model (for urban and rural/interstate markets and demand levels, market penetration)

198

Macro-Industrial Working Group 2  

Gasoline and Diesel Fuel Update (EIA)

Peter Gross Peter Gross Office of Energy Consumption and Efficiency Analysis, EIA March 20, 2013 | Washington, DC Chemicals Production in the Annual Energy Outlook Model Current representation of chemicals in the AEO 2 * Baseline fuel & feedstock consumption data (MECS) * Fuel & feedstock projections - Macroeconomic driven: chemical shipments/production - Feedstock price determinants (NGL vs. naphtha) are employed - Ethane consumption = ethane supply - Heat & power efficiency improvements * Macroeconomic chemical drivers: bulk chemicals (organic, inorganic, resins, agricultural chemicals), other chemicals (pharma, paints, soaps) - Bulk chemical shipments influenced by fuel prices - No explicit assumptions about origins of chemicals (petroleum vs. biobased)

199

Inter-modelling with patterns  

Science Journals Connector (OSTI)

Inter-modelling is the activity of modelling relations between two or more modelling languages. The result of this activity is a model that describes the way in which model instances of these languages can be related. Many tasks in model-driven ... Keywords: Graph constraints, Graph transformation, Inter-modelling, Model matching, Model-to-model transformation, Traceability

Esther Guerra; Juan Lara; Fernando Orejas

2013-02-01T23:59:59.000Z

200

Geologic Framework Model Analysis Model Report  

SciTech Connect (OSTI)

The purpose of this report is to document the Geologic Framework Model (GFM), Version 3.1 (GFM3.1) with regard to data input, modeling methods, assumptions, uncertainties, limitations, and validation of the model results, qualification status of the model, and the differences between Version 3.1 and previous versions. The GFM represents a three-dimensional interpretation of the stratigraphy and structural features of the location of the potential Yucca Mountain radioactive waste repository. The GFM encompasses an area of 65 square miles (170 square kilometers) and a volume of 185 cubic miles (771 cubic kilometers). The boundaries of the GFM were chosen to encompass the most widely distributed set of exploratory boreholes (the Water Table or WT series) and to provide a geologic framework over the area of interest for hydrologic flow and radionuclide transport modeling through the unsaturated zone (UZ). The depth of the model is constrained by the inferred depth of the Tertiary-Paleozoic unconformity. The GFM was constructed from geologic map and borehole data. Additional information from measured stratigraphy sections, gravity profiles, and seismic profiles was also considered. This interim change notice (ICN) was prepared in accordance with the Technical Work Plan for the Integrated Site Model Process Model Report Revision 01 (CRWMS M&O 2000). The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The GFM is one component of the Integrated Site Model (ISM) (Figure l), which has been developed to provide a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site. The ISM consists of three components: (1) Geologic Framework Model (GFM); (2) Rock Properties Model (RPM); and (3) Mineralogic Model (MM). The ISM merges the detailed project stratigraphy into model stratigraphic units that are most useful for the primary downstream models and the repository design. These downstream models include the hydrologic flow models and the radionuclide transport models. All the models and the repository design, in turn, will be incorporated into the Total System Performance Assessment (TSPA) of the potential radioactive waste repository block and vicinity to determine the suitability of Yucca Mountain as a host for the repository. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 2.

R. Clayton

2000-12-19T23:59:59.000Z

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


201

Vehicle Technologies Office Merit Review 2014: Development and Update of Long-Term Energy and GHG Emission Macroeconomic Accounting Tool  

Broader source: Energy.gov [DOE]

Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about the development...

202

Reformulated Gasoline Complex Model  

Gasoline and Diesel Fuel Update (EIA)

Refiners Switch to Reformulated Refiners Switch to Reformulated Gasoline Complex Model Contents * Summary * Introduction o Table 1. Comparison of Simple Model and Complex Model RFG Per Gallon Requirements * Statutory, Individual Refinery, and Compliance Baselines o Table 2. Statutory Baseline Fuel Compositions * Simple Model * Complex Model o Table 3. Complex Model Variables * Endnotes Related EIA Short-Term Forecast Analysis Products * RFG Simple and Complex Model Spreadsheets * Areas Particpating in the Reformulated Gasoline Program * Environmental Regulations and Changes in Petroleum Refining Operations * Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model * Reformulated Gasoline Foreign Refinery Rules * Demand, Supply, and Price Outlook for Reformulated Motor Gasoline, 1995 , (Adobe

203

Modeling and Analysis  

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...

204

Quintessence Model Building  

E-Print Network [OSTI]

A short review of some of the aspects of quintessence model building is presented. We emphasize the role of tracking models and their possible supersymmetric origin.

Ph. Brax; J. Martin; A. Riazuelo

2001-09-27T23:59:59.000Z

205

Substation PSA Model  

Science Journals Connector (OSTI)

Chapter 6 describes how to create the substation model, the core of the PSA application... Chap. 4 . First, the modelling principles and then the details of the mode...

Liisa Haarla; Mikko Koskinen; Ritva Hirvonen

2011-01-01T23:59:59.000Z

206

Earth System Modeling  

Science Journals Connector (OSTI)

Earth system models are important research tools for improving understanding ... climate system (and maybe never will), Earth system models nowadays typically focus on specific aspects, for...

Patrick Jckel

2012-01-01T23:59:59.000Z

207

ROCK PROPERTIES MODEL ANALYSIS MODEL REPORT  

SciTech Connect (OSTI)

The purpose of this Analysis and Model Report (AMR) is to document Rock Properties Model (RPM) 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties models are intended principally for use as input to numerical physical-process modeling, such as of ground-water flow and/or radionuclide transport. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. This work was conducted in accordance with the following planning documents: WA-0344, ''3-D Rock Properties Modeling for FY 1998'' (SNL 1997, WA-0358), ''3-D Rock Properties Modeling for FY 1999'' (SNL 1999), and the technical development plan, Rock Properties Model Version 3.1, (CRWMS M&O 1999c). The Interim Change Notice (ICNs), ICN 02 and ICN 03, of this AMR were prepared as part of activities being conducted under the Technical Work Plan, TWP-NBS-GS-000003, ''Technical Work Plan for the Integrated Site Model, Process Model Report, Revision 01'' (CRWMS M&O 2000b). The purpose of ICN 03 is to record changes in data input status due to data qualification and verification activities. These work plans describe the scope, objectives, tasks, methodology, and implementing procedures for model construction. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The work scope for this activity consists of the following: (1) Conversion of the input data (laboratory measured porosity data, x-ray diffraction mineralogy, petrophysical calculations of bound water, and petrophysical calculations of porosity) for each borehole into stratigraphic coordinates; (2) Re-sampling and merging of data sets; (3) Development of geostatistical simulations of porosity; (4) Generation of derivative property models via linear coregionalization with porosity; (5) Post-processing of the simulated models to impart desired secondary geologic attributes and to create summary and uncertainty models; and (6) Conversion of the models into real-world coordinates. The conversion to real world coordinates is performed as part of the integration of the RPM into the Integrated Site Model (ISM) 3.1; this activity is not part of the current analysis. The ISM provides a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site and consists of three components: (1) Geologic Framework Model (GFM); (2) RPM, which is the subject of this AMR; and (3) Mineralogic Model. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 1. Figure 2 shows the geographic boundaries of the RPM and other component models of the ISM.

Clinton Lum

2002-02-04T23:59:59.000Z

208

Next Generation Calibration Models with Dimensional Modeling...  

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

Documents & Publications Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control Model-Based Transient Calibration Optimization for Next Generation Diesel...

209

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding; 2 carbon dioxide miscible flooding; 3 in-situ combustion; 4 polymer flooding; and 5 steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. [DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

210

Sandia National Laboratories: Modeling & Analysis  

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

Modeling On June 26, 2014, in Computational Modeling & Simulation, Energy, Energy Surety, Grid Integration, Infrastructure Security, Modeling, Modeling & Analysis, News, News &...

211

Model Products Available  

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

Available Available Archiving environmental data products has become recognized as a vital research practice: it improves our ability to reproduce results and perform additional analyses while saving the cost of redundant data collection activities. The same rationale applies to archiving numerical models. Archived models will provide the methodological detail of numerical modeling studies to recreate published modeling results, enabling the synthesis of results across modeling studies and the investigation of new hypotheses. In addition, archived models will allow determination of uncertainties for comparison with results from other models in assessment / policy studies. The model source code will also allow others to see how models treat individual processes. We are creating a two-tiered archive for numerical models. The first tier

212

Building Energy Modeling Library  

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

Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute Efranconi@rmi.org 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same

213

Multivariate Receptor Models and Model Uncertainty  

E-Print Network [OSTI]

, Man-Suk Oh2 , and Peter Guttorp1 1. National Research Center for Statistics and the Environment University of Washington Seattle, WA 98195 2. Department of Statistics Ewha Women's University Seoul 120; Model identifiability; Number of sources; Posterior Model Probability; Marginal likelihood. #12;1 1

Washington at Seattle, University of

214

What is a model? Mathematical modelling Examples Conclusions What is Mathematical Modelling?  

E-Print Network [OSTI]

What is a model? Mathematical modelling Examples Conclusions What is Mathematical Modelling? John 21, 2014 What is a Model? 1/33 #12;What is a model? Mathematical modelling Examples Conclusions Outline 1 What is a model? Disciplinary differences 2 Mathematical modelling Definition Quotes Modelling

Stockie, John

215

Model Validation Status Review  

SciTech Connect (OSTI)

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.

E.L. Hardin

2001-11-28T23:59:59.000Z

216

Oil Prices, External Income, and Growth: Lessons from Jordan  

E-Print Network [OSTI]

. The theoretical model predicts real oil prices to be one of the main long-run drivers of real output. Using quarterly data between 1979 and 2009 on core macroeconomic variables for Jordan and a number of key foreign variables, we identify two long...

Mohaddes, Kamiar; Raissi, Mehdi

2011-12-08T23:59:59.000Z

217

The Long-Term Economic Impacts of Implementing the Energy Security Leadership Council's  

E-Print Network [OSTI]

. First, higher real GDP and income levels mean that the consumption of energy and oil will be higher, all flows in the economy, such as energy use, with macroeconomic aggregates, such as GDP, consumption, the LIFT model was used to simulate the impact of its policies compared to a LIFT baseline projection

Hill, Wendell T.

218

Platform for China Energy & Environmental Policy Analysis: A general design and its application  

Science Journals Connector (OSTI)

This paper introduces the China Energy & Environmental Policy Analysis (CEEPA) system. The core of CEEPA is a recursive dynamic computable general equilibrium model, in which the interactions among different agents in the macroeconomic system of China ... Keywords: Computable general equilibrium, Decision support system, Energy and environmental policy

Qiao-Mei Liang; Yun-Fei Yao; Lu-Tao Zhao; Ce Wang; Rui-Guang Yang; Yi-Ming Wei

2014-01-01T23:59:59.000Z

219

Analytical input-output and supply chain study of China's coke and steel sectors  

E-Print Network [OSTI]

I design an input-output model to investigate the energy supply chain of coal-coke-steel in China. To study the demand, supply, and energy-intensity issues for coal and coke from a macroeconomic perspective, I apply the ...

Li, Yu, 1976-

2004-01-01T23:59:59.000Z

220

Biosphere Model Report  

SciTech Connect (OSTI)

The purpose of this report is to document the biosphere model, the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), which describes radionuclide transport processes in the biosphere and associated human exposure that may arise as the result of radionuclide release from the geologic repository at Yucca Mountain. The biosphere model is one of the process models that support the Yucca Mountain Project (YMP) Total System Performance Assessment (TSPA) for the license application (LA), TSPA-LA. The ERMYN provides the capability of performing human radiation dose assessments. This report documents the biosphere model, which includes: (1) Describing the reference biosphere, human receptor, exposure scenarios, and primary radionuclides for each exposure scenario (Section 6.1); (2) Developing a biosphere conceptual model using site-specific features, events, and processes (FEPs) (Section 6.2), the reference biosphere (Section 6.1.1), the human receptor (Section 6.1.2), and approximations (Sections 6.3.1.4 and 6.3.2.4); (3) Building a mathematical model using the biosphere conceptual model (Section 6.3) and published biosphere models (Sections 6.4 and 6.5); (4) Summarizing input parameters for the mathematical model, including the uncertainty associated with input values (Section 6.6); (5) Identifying improvements in the ERMYN compared with the model used in previous biosphere modeling (Section 6.7); (6) Constructing an ERMYN implementation tool (model) based on the biosphere mathematical model using GoldSim stochastic simulation software (Sections 6.8 and 6.9); (7) Verifying the ERMYN by comparing output from the software with hand calculations to ensure that the GoldSim implementation is correct (Section 6.10); (8) Validating the ERMYN by corroborating it with published biosphere models; comparing conceptual models, mathematical models, and numerical results (Section 7).

D.W. Wu; A.J. Smith

2004-11-08T23:59:59.000Z

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


221

Model Validation Bernie Lesieutre  

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

Model Validation Model Validation Bernie Lesieutre University of Wisconsin lesieutre@wisc.edu 27 June 2013 Washington, DC DOE/OE Transmission Reliability Program 2 Project Objectives To Develop techniques and tools for PMU- and feature-based power system model validation. Background: Our prior proof-of-concept research demonstrated that feature-based sensitivity models can be used to calibrate power system dynamic models. This was applied to the WECC composite load model for oscillatory and FIDVR events. 3 Project Objectives PSLF simulation features features Sensitivity Model (parameters) Measured Data Simulated Data Features Error Adjust Parameters Technical Approach 4 Project Objectives Current Research: Use PMU data to calibrate power plant models. Four Tasks:

222

Multi-Domain Modeling  

Science Journals Connector (OSTI)

This chapter presents several multi-domain system models. Multi-domain models are characterized by the fact that they have components belonging to different engineering domains. In this chapter, we will see mo...

Michael Tiller Ph.D.

2001-01-01T23:59:59.000Z

223

Enterprise Risk Management Model  

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

Model The Enterprise Risk Management (ERM) Model is a system used to analyze the cost and benefit of addressing risks inherent in the work performed by the Department of Energy....

224

Sandia Modeling Tool Webinar  

Broader source: Energy.gov [DOE]

Hosted by the Energy Department and Western Area Power Administration, this webinar will show attendees about what collaborative, stakeholder-driven modeling is and how the modeling tools and process developed by Sandia can be used in Indian Country.

225

AVESTAR® - Dynamic Modeling  

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

Dynamic Modeling Dynamic Modeling The AVESTAR team is pursuing research on the dynamic modeling and simulation of advanced energy systems ranging from power plants to power grids. Dynamic models provide a continuous view of energy systems in action by calculating their transient behavior over time. Plant-wide Models For power plants, dynamic models are used to analyze a wide variety of operating scenarios, including normal base load operation, startup, shutdown, feedstock switchovers, cycling, and load-following. Dynamic process and control models are also essential for analyzing plant responses to setpoint changes and disturbances, as well as malfunctions and abnormal situations. Other applications of plant-wide dynamic models include controllability and operational flexibility analyses, environmental studies, safety evaluations, and risk mitigation.

226

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2 carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3 in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4 polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5 steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. [DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

227

IR DIAL performance modeling  

SciTech Connect (OSTI)

We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

Sharlemann, E.T.

1994-07-01T23:59:59.000Z

228

Rock Properties Model  

SciTech Connect (OSTI)

The purpose of this model report is to document the Rock Properties Model version 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties model provides mean matrix and lithophysae porosity, and the cross-correlated mean bulk density as direct input to the ''Saturated Zone Flow and Transport Model Abstraction'', MDL-NBS-HS-000021, REV 02 (BSC 2004 [DIRS 170042]). The constraints, caveats, and limitations associated with this model are discussed in Section 6.6 and 8.2. Model validation accomplished by corroboration with data not cited as direct input is discussed in Section 7. The revision of this model report was performed as part of activities being conducted under the ''Technical Work Plan for: The Integrated Site Model, Revision 05'' (BSC 2004 [DIRS 169635]). The purpose of this revision is to bring the report up to current procedural requirements and address the Regulatory Integration Team evaluation comments. The work plan describes the scope, objectives, tasks, methodology, and procedures for this process.

C. Lum

2004-09-16T23:59:59.000Z

229

The Model Coupling Toolkit  

Science Journals Connector (OSTI)

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 one high-performance coupled modeling system? We present our solution to this ...

Jay Walter Larson; Robert L. Jacob; Ian T. Foster; Jing Guo

2001-05-01T23:59:59.000Z

230

A WYSIWYG approach for configuring model layout using model transformations  

Science Journals Connector (OSTI)

Model transformation is a core technology in Domain-Specific Modeling (DSM). While a number of model transformation languages and tools have been developed to support model transformation activities, the layout of visual models in the transformation ... Keywords: demonstration, model layout, model transformation

Yu Sun; Jeff Gray; Philip Langer; Manuel Wimmer; Jules White

2010-10-01T23:59:59.000Z

231

Environmental model access and interoperability: The GEO Model Web initiative  

Science Journals Connector (OSTI)

The Group on Earth Observation (GEO) Model Web initiative utilizes a Model as a Service approach to increase model access and sharing. It relies on gradual, organic growth leading towards dynamic webs of interacting models, analogous to the World Wide ... Keywords: Composition as a Service (CaaS), Environmental Modelling, GEOSS, Interoperability, Model Web, Model as a Service (MaaS)

Stefano Nativi; Paolo Mazzetti; Gary N. Geller

2013-01-01T23:59:59.000Z

232

Argonne GREET Model  

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

Laboratory Transportation Technology R&D Center DOE Logo Laboratory Transportation Technology R&D Center DOE Logo About TTRDC Mission Experts Facilities Tools Publications Awards Media Center Site Index Search TTRDC ... Search Argonne Home > Transportation Technology R & D Center > Modeling_simulation > Alternative Fuels Autonomie Batteries Engines Green Racing ... ... GREET * Fuel-Cycle Model * Power Water Model * Copyright Statement * Mini-tool and Results * Vehicle-Cycle Model * Publications * AFLEET Tool * Fleet Footprint Calculator * Travel Carbon Calculator * Workshops * Contact ... ... Hybrid Electric Vehicles Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Transportation Research and Analysis Computing Center

233

CRAC2 model description  

SciTech Connect (OSTI)

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.

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

234

UZ Colloid Transport Model  

SciTech Connect (OSTI)

The UZ Colloid Transport model development plan states that the objective of this Analysis/Model Report (AMR) is to document the development of a model for simulating unsaturated colloid transport. This objective includes the following: (1) use of a process level model to evaluate the potential mechanisms for colloid transport at Yucca Mountain; (2) Provide ranges of parameters for significant colloid transport processes to Performance Assessment (PA) for the unsaturated zone (UZ); (3) Provide a basis for development of an abstracted model for use in PA calculations.

M. McGraw

2000-04-13T23:59:59.000Z

235

Calibrated Properties Model  

SciTech Connect (OSTI)

The purpose of this model report is to document the calibrated properties model that provides calibrated property sets for unsaturated zone (UZ) flow and transport process models (UZ models). The calibration of the property sets is performed through inverse modeling. This work followed, and was planned in, ''Technical Work Plan (TWP) for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Sections 1.2.6 and 2.1.1.6). Direct inputs to this model report were derived from the following upstream analysis and model reports: ''Analysis of Hydrologic Properties Data'' (BSC 2004 [DIRS 170038]); ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004 [DIRS 169855]); ''Simulation of Net Infiltration for Present-Day and Potential Future Climates'' (BSC 2004 [DIRS 170007]); ''Geologic Framework Model'' (GFM2000) (BSC 2004 [DIRS 170029]). Additionally, this model report incorporates errata of the previous version and closure of the Key Technical Issue agreement TSPAI 3.26 (Section 6.2.2 and Appendix B), and it is revised for improved transparency.

T. Ghezzehej

2004-10-04T23:59:59.000Z

236

RHP: HOW CLIMATE MODELS GAIN AND EXERCISE How Climate Models Gain and Exercise Authority  

E-Print Network [OSTI]

-dimensional models, intermediate complexity models, general circulation models, and Earth system models. 2 www

Hulme, Mike

237

Fluid flow and solute transport modeling with lattice Boltzmann models  

E-Print Network [OSTI]

Fluid flow and solute transport modeling with lattice Boltzmann models Ph.D. Proposal: Shadab Anwar with solute transport and fluid flow modeling in porous media using lattice Boltzmann model (LBM). LBM

Sukop, Mike

238

Jenseits des Standard Modells  

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

The Standard Model The Standard Model Unngelöste Rätsel Jenseits des Standard Modells Das Standard Modell gibt auf viele Fragen, über Struktur und Stabilität der Materie eine Antwort. Dazu braucht es nur die sechs Sorten von Quarks und Leptonen und die vier fundamentalen Kräfte. Aber das Standard Modell ist nicht vollständig; es gibt noch viele unbeantwortete Fragen. Eigentlich sollten wir aus Gründen der Symmetrie im Weltraum gleichviel Materie wie Antimaterie beobachten. Wir finden aber praktisch nur normale Materie! Warum? Woraus besteht die "Dunkle Materie", die wir nicht sehen können, die aber im Universum sichtbare Gravitationswirkungen zeigt? Warum kann das Standard Modell die Massen der Teilchen nicht vorhersagen? Sind Quarks and Leptonen wirklich fundamentae Teilchen, oder sind sie aus noch elementareren Partikeln aufgebaut?

239

The model coupling toolkit.  

SciTech Connect (OSTI)

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.

Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.

2001-04-13T23:59:59.000Z

240

HOMER Micropower Optimization Model  

SciTech Connect (OSTI)

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.

Lilienthal, P.

2005-01-01T23:59:59.000Z

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


241

A pipeline scheduling model  

E-Print Network [OSTI]

A PIPELINE SCHEDULING MODEL A Thesis by THOMAS MELVIN BEATTY Submitted to the Graduate College of Texas AAM University in partial fulfillment of the requirement for the degree of MASTER QF SCIENCE August 1975 Major Subject: Computing... Science R PIPELINE SCHEDULING MODEL A Thesis by THOMAS MELVIN BEATTY Approved as to style and content by: Chairman of ommittee Member (Head o f Department ) Member August 1975 ABSTRACT A PIPELINE SCHEDULING MODEL (August 1975) Thomas Melvin...

Beatty, Thomas Melvin

2012-06-07T23:59:59.000Z

242

Autotune Building Energy Models  

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

Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale

243

Generalized weapon effectiveness modeling .  

E-Print Network [OSTI]

??In this thesis, we compare weapon effectiveness methods to determine if current effectiveness models provide accurate results. The United States Military currently adheres to a (more)

Anderson, Colin M.

2004-01-01T23:59:59.000Z

244

Photovoltaics Business Models  

SciTech Connect (OSTI)

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.

Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.

2008-02-01T23:59:59.000Z

245

5. Lattice Boltzmann Models  

Science Journals Connector (OSTI)

5.1 From lattice-gas cellular automata to lattice Boltzmann models 5.1.1 Lattice Boltzmann equation and Boltzmann equation ...

Dieter A. Wolf-Gladrow

2000-01-01T23:59:59.000Z

246

Advanced Target Effects Modeling  

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

modeling of NDCX-II experiments include certain lower temper- ature effects, e.g., surface tension and target fragmentation, that are not generally present in extreme...

247

Modelling household electricity consumption.  

E-Print Network [OSTI]

??A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can (more)

de la Rue, Philip Martin

2010-01-01T23:59:59.000Z

248

Models and phenomenology  

E-Print Network [OSTI]

It is evident that models of the knee should match the observational phenomenology. In this talk I discuss a few aspects of phenomenology, which are important not only for the understanding of the knee origin, but also for the general problem of the origin of cosmic rays. Among them are the shape of the energy spectrum, its irregularity, the sharpness of the knee and its fine structure. The classification of models is given and some examples of the most recent models are discussed. The most probable conclusion deduced from this examination is that the knee has an astrophysical origin and the so called 'source' models of the knee are most likely among them.

A. D. Erlykin

2004-11-09T23:59:59.000Z

249

Model Cell Membranes  

Science Journals Connector (OSTI)

... are being used as model systems to test particular hypotheses in membrane transport. Thus, Tosteson and his colleagues (Andreoli et al., J. Gen. PhysioL, 50, 1729; ...

A Correspondent

1968-01-13T23:59:59.000Z

250

Modeling the indoor environment  

Science Journals Connector (OSTI)

Modeling the indoor environment ... Industrial & Engineering Chemistry Research2007 46 (23), 7489-7496 ... Environmental Science & Technology2007 41 (6), 2028-2035 ...

Barbara S. Austin; Stanley M. Greenfield; Bruce R. Weir; Gerald E. Anderson; Joseph V. Behar

1992-05-01T23:59:59.000Z

251

Model selection in compositional spaces  

E-Print Network [OSTI]

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 ...

Grosse, Roger Baker

2014-01-01T23:59:59.000Z

252

What Are Climate Models Missing?  

Science Journals Connector (OSTI)

...models miss most. From GCMs to Earth System Models Smagorinsky's GCM was designed...important chemical nutrients, Earth System Models (4, 5). Wide variation...as they are in comprehensive Earth System Models (10). Differences among...

Bjorn Stevens; Sandrine Bony

2013-05-31T23:59:59.000Z

253

Better Buildings Neighborhood Program Business Models Guide:...  

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

Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...

254

Models of Dynamical Supersymmetry Breaking  

E-Print Network [OSTI]

We review a class of models of dynamical supersymmetry breaking, and give a unified description of these models.

Lisa Randall

1997-06-23T23:59:59.000Z

255

Biosphere Process Model Report  

SciTech Connect (OSTI)

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

J. Schmitt

2000-05-25T23:59:59.000Z

256

Model-driven constraint programming  

Science Journals Connector (OSTI)

Constraint programming can definitely be seen as a model-driven paradigm. The users write programs for modeling problems. These programs are mapped to executable models to calculate the solutions. This paper focuses on efficient model management (definition ... Keywords: constraint modeling languages, constraint programming, metamodeling, model transformation

Raphal Chenouard; Laurent Granvilliers; Ricardo Soto

2008-07-01T23:59:59.000Z

257

Solvable Compressible Ising Model  

Science Journals Connector (OSTI)

The results for the solvable Baker-Essam model of a compressible Ising lattice are rederived by utilizing the equivalence of the system to a set of linear chains each described by the Mattis-Schultz one-dimensional magnetostriction model.

Marshall Luban

1973-03-01T23:59:59.000Z

258

SUSY Model Building  

E-Print Network [OSTI]

I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

Stuart Raby

2007-10-15T23:59:59.000Z

259

String Model Building  

E-Print Network [OSTI]

In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

Stuart Raby

2009-11-06T23:59:59.000Z

260

Cognitive Systems Cognitive Modeling  

E-Print Network [OSTI]

1 Cognitive Systems Cognitive Modeling Foundations of Information Processing in Natural Barkowsky, Christian Freksa 2 Cognitive Systems: Topics · Introduction · Perception · Memory and Reasoning · Learning and Action · Communication · Empirical Methods 3 Cognitive Modeling: Topics · Cognitive

Bremen, Universität

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


261

Composite Load Model Evaluation  

SciTech Connect (OSTI)

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.

Lu, Ning; Qiao, Hong (Amy)

2007-09-30T23:59:59.000Z

262

Rule modeling and markup  

Science Journals Connector (OSTI)

In this paper we address several issues of rule modeling on the basis of UML. We discuss the relationship between UML class models and OWL vocabularies. We show how certain rules can be specified in a class diagram with the help of OCL. We also show ...

Gerd Wagner

2005-07-01T23:59:59.000Z

263

Stochastic patch exploitation model  

Science Journals Connector (OSTI)

...February 1998 research-article Stochastic patch exploitation model H. Rita 1 E. Ranta...Sweden A solitary animal is foraging in a patch consisting of discrete prey items. We...gain as a function of elapsed time in the patch. The model is based on the waiting times...

1998-01-01T23:59:59.000Z

264

Disciplined heterogeneous modeling  

Science Journals Connector (OSTI)

Complex systems demand diversity in the modeling mechanisms. One way to deal with a diversity of requirements is to create flexible modeling frameworks that can be adapted to cover the field of interest. The downside of this approach is a weakening of ...

Edward A. Lee

2010-10-01T23:59:59.000Z

265

Analysis & Projections - Pub - U.S. Energy Information Administration...  

Gasoline and Diesel Fuel Update (EIA)

Summary of meeting Industrial preliminary results presentation Macroeconomic presentation Contacts: Kay Smith (Macroeconomic) (202) 586-1132 Kelly Perl (Industrial) (202) 586-1743...

266

AEO2014: Preliminary Industrial Output  

Gasoline and Diesel Fuel Update (EIA)

Elizabeth Sendich, Analyst, and Kay Smith, Team Leader Macroeconomic Analysis Team September 26, 2013 Preliminary AEO2014 Macroeconomic Industrial Results DO NOT CITE OR...

267

Macro-Industrial Working Group: meeting 1  

Gasoline and Diesel Fuel Update (EIA)

4 MacroIndustrial Working Group Macroeconomic team: Kay Smith, Russ Tarver, Elizabeth Sendich and Vipin Arora Briefing on Macroeconomic Reference Case for the Annual Energy...

268

model | OpenEI  

Open Energy Info (EERE)

model model Dataset Summary Description NREL's Research and Support Facility (RSF) energy model for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 energy model NREL RSF Data text/csv icon rsf_energy_model_2011.csv (csv, 772 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description

269

Thermodynamic Modeling Studies  

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

Modeling Studies Modeling Studies J. Lindner, L. T. Smith, J. C. Luthe, L. Pearson. R. K. Toghiani, Y. Xia, and P. Naik Institute for Clean Energy Technology Mississippi State University May 20,2009 Initial Tank Composition Remove liquid to reflect undrained saltcake Stage 1 Dissolution Remove transfer stream 1 liquids transfer stream 0 liquids recycle solids liquids transfer stream 1 liquids recycle solids Next Stage of Dissolution DWPF recycle Thermodynamic Modeling Studies 2 Overview of Presentation * Database Activities and Needs * C farm retrievals and neural network development * Thermodynamic data and computational methods for liquid waste flowsheet modeling (SRS) * Aluminum solubility studies Thermodynamic Modeling Studies 3 Database Activities and Needs * Earlier a mid-term study addressed the solubility of a number of systems if

270

Analytical Modeling | Open Energy Information  

Open Energy Info (EERE)

Analytical Modeling Analytical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Analytical Modeling Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Analytical Modeling: A mathematical modeling technique used for simulating, explaining, and making predictions about the mechanisms involved in complex physical processes. Other definitions:Wikipedia Reegle Introduction Analytical models are mathematical models that have a closed form solution. Or in other words the solution to the equations used to describe changes in

271

Economic impacts study  

SciTech Connect (OSTI)

This is a progress report on the first phase of a project to measure the economic impacts of a rapidly changing U.S. target base. The purpose of the first phase is to designate and test the macroeconomic impact analysis model. Criteria were established for a decision-support model. Additional criteria were defined for an interactive macroeconomic impact analysis model. After a review of several models, the Economic Impact Forecast System model of the U.S. Army Construction Research Laboratory was selected as the appropriate input-output tool that can address local and regional economic analysis. The model was applied to five test cases to demonstrate its utility and define possible revisions to meet project criteria. A plan for EIFS access was defined at three levels. Objectives and tasks for scenario refinement are proposed.

Brunsen, W.; Worley, W.; Frost, E.

1988-09-30T23:59:59.000Z

272

Macroscopically frustrated Ising model  

Science Journals Connector (OSTI)

A disordered spin-glass model in which both static and dynamical properties depend on macroscopic magnetizations is presented. These magnetizations interact via random couplings and, therefore, the typical quenched realization of the system exhibits a macroscopic frustration. The model is solved by using a revisited replica approach, and the broken symmetry solution turns out to coincide with the symmetric solution. Some dynamical aspects of the model are also discussed, showing how it could be a useful tool for describing some properties of real systems such as, for example, natural ecosystems or human social systems.

M. Pasquini and M. Serva

2001-04-16T23:59:59.000Z

273

Modeling dihadron fragmentation functions  

SciTech Connect (OSTI)

We present a model for dihadron fragmentation functions, describing the fragmentation of a quark into two unpolarized hadrons. We tune the parameters of our model to the output of the PYTHIA event generator for two-hadron semi-inclusive production in deep-inelastic scattering at HERMES. Once the parameters of the model are fixed, we make predictions for other unknown fragmentation functions and for a single-spin asymmetry in the azimuthal distribution of {pi}{sup +}{pi}{sup -} pairs in semi-inclusive deep-inelastic scattering on a transversely polarized target at HERMES and COMPASS. Such asymmetry could be used to measure the quark transversity distribution function.

Bacchetta, Alessandro; Radici, Marco [Theory Group, Deutsches Elektronen-Synchroton DESY, D-22603 Hamburg (Germany); Dipartimento di Fisica Nucleare e Teorica, Universita di Pavia, and Istituto Nazionale di Fisica Nucleare, Sezione di Pavia, I-27100 Pavia (Italy)

2006-12-01T23:59:59.000Z

274

Designing Cyclic Universe Models  

E-Print Network [OSTI]

Recent advances in understanding the propagation of perturbations through the transition from big crunch to big bang (esp. Tolley et al. hep-th/0306109) make it possible for the first time to consider the full set of phenomenological constraints on the scalar field potential in cyclic models of the universe. We show that cyclic models require a comparable degree of tuning to that needed for inflationary models. The constraints are reduced to a set of simple design rules including "fast-roll" parameters analogous to the "slow-roll" parameters in inflation.

Justin Khoury; Paul J. Steinhardt; Neil Turok

2003-07-15T23:59:59.000Z

275

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL  

E-Print Network [OSTI]

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler a probabilistic model for predict- ing the occupancy of a building using networks of people-counting sensors-sensor probabilistic model for building occupancy. Inference for the oc- cupancy model follows in Section 4

Smyth, Padhraic

276

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL  

E-Print Network [OSTI]

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler a probabilistic model for predict­ ing the occupancy of a building using networks of people­counting sensors­sensor probabilistic model for building occupancy. Inference for the oc­ cupancy model follows in Section 4

Ihler, Alexander

277

High School Students' Modeling Knowledge High School Students' Modeling Knowledge  

E-Print Network [OSTI]

High School Students' Modeling Knowledge High School Students' Modeling Knowledge David Fortus of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice. This study probed the modeling knowledge of high school students who had not any explicit exposure

278

Single-Column Modeling  

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

C.J. Somerville and S. F. lacobellis C.J. Somerville and S. F. lacobellis Climate Research Division Scripps Institution of Oceanography University of California, San Diego La Jolla, CA 92093-0224 Our project is centered around a computationally efficient and economical one-dimensional (vertical) model, resembling a single column of a general circulation model (GCM) grid, applied to the experimental site of the Atmospheric Radiation Measurement (ARM) Program. The model contains a full set of modern GCM parameterizations of subgrid physical processes. To force the model, the advective terms in the budget equations are specified observationally from operational numerical weather prediction analyses. These analyses, based on four-dimensional data assimilation techniques, provide dynamically consistent wind fields and horizontal gradients

279

Lunar Viscosity Models  

Science Journals Connector (OSTI)

31 March 1977 research-article Lunar Viscosity Models R. Meissner Viscosity values as estimated from isostatic processes and...depth seem to be connected with a limited range of viscosity values. A tentative relation between viscosity...

1977-01-01T23:59:59.000Z

280

Scale Models & Wind Turbines  

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

Scale Models and Wind Turbines Grades: 5-8, 9-12 Topics: Wind Energy Owner: Kidwind Project This educational material is brought to you by the U.S. Department of Energy's Office of...

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


281

Wire and column modeling  

E-Print Network [OSTI]

guaranteeing that the pipes are connected and the resulting shape can be physically constructed. Our methods require an initial input mesh that can either be imported from a commercially available software package, or created directly in this modeling system...

Mandal, Esan

2004-09-30T23:59:59.000Z

282

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...

283

Driven Harper model  

Science Journals Connector (OSTI)

We analyze the driven Harper model, which appears in the problem of tight-binding electrons in the Hall configuration (normal to the lattice plane magnetic field plus in-plane electric field). The presence of an electric field extends the celebrated Harper model, which is parametrized by the Peierls phase, into the driven Harper model, which is additionally parametrized by two Bloch frequencies, associated with the two components of the electric field. We show that the eigenstates of the driven Harper model are either extended or localized, depending on the commensurability of the Bloch frequencies. This results holds for both rational and irrational values of the Peierls phase. In the case of incommensurate Bloch frequencies we provide an estimate for the wave-function localization length.

Andrey R. Kolovsky and Giorgio Mantica

2012-08-28T23:59:59.000Z

284

Convex modeling with priors  

E-Print Network [OSTI]

As the study of complex interconnected networks becomes widespread across disciplines, modeling the large-scale behavior of these systems becomes both increasingly important and increasingly difficult. In particular, it ...

Recht, Benjamin Harris, 1978-

2006-01-01T23:59:59.000Z

285

Modeling & Simulation publications  

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

Modeling & Simulation » Modeling & Simulation » Modeling & Simulation Publications Modeling & Simulation publications Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this century. Get Expertise David Harradine Physical Chemistry and Applied Spectroscopy Email Josh Smith Chemistry Email The inherent knowledge of transformation has beguiled sorcerers and scientists alike. D.A. Horner, F. Lambert, J.D. Kress, and L.A. Collins, "Transport properties of lithium hydride from quantum molecular dynamics and orbital-free molecular dynamics," Physical Review B - Condensed Matter and Materials Physics 80(2) (2009). J.D. Kress, D.A. Horner, and L.A. Collins, "Mixing rules for optical and transport properties of warm, dense matter," AIP Conference Proceedings 1195, 931-934 (2009).

286

MODEL CONSERVATION STANDARD INTRODUCTION  

E-Print Network [OSTI]

RESIDENTIAL AND COMMERCIAL BUILDINGS The region should acquire all electric energy conservation measure designed model conservation standards to produce all electricity savings that are cost, architectural styles, and so forth) found in typical buildings constructed before the first standards were

287

Refining climate models  

SciTech Connect (OSTI)

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.

Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

2012-10-31T23:59:59.000Z

288

Refining climate models  

ScienceCinema (OSTI)

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.

Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

2014-06-26T23:59:59.000Z

289

Ising Model from Intertwiners  

E-Print Network [OSTI]

Spin networks appear in a number of areas, for instance in lattice gauge theories and in quantum gravity. They describe the contraction of intertwiners according to the underlying network. We show that a certain generating function of intertwiner contractions leads to the partition function of the 2d Ising model. This implies that the intertwiner model possesses a second order phase transition, thus leading to a continuum limit with propagating degrees of freedom.

Dittrich, Bianca

2013-01-01T23:59:59.000Z

290

SUSY GUT Model Building  

E-Print Network [OSTI]

I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

Stuart Raby

2008-07-30T23:59:59.000Z

291

Modeling urban runoff characteristics  

E-Print Network [OSTI]

Suhhasrn (Gout) Main Channel Element in Kinematic Wave Calculations FIG. 2. -Elements Used in is the area contributing to the channel. If the area contributing to the channel is less then the total subbasin area, the model assumes that the channel... Suhhasrn (Gout) Main Channel Element in Kinematic Wave Calculations FIG. 2. -Elements Used in is the area contributing to the channel. If the area contributing to the channel is less then the total subbasin area, the model assumes that the channel...

Garcia, Alfred

2012-06-07T23:59:59.000Z

292

ADVANCED CHEMISTRY BASINS MODEL  

SciTech Connect (OSTI)

The advanced Chemistry Basin Model project has been operative for 48 months. During this period, about half the project tasks are on projected schedule. On average the project is somewhat behind schedule (90%). Unanticipated issues are causing model integration to take longer then scheduled, delaying final debugging and manual development. It is anticipated that a short extension will be required to fulfill all contract obligations.

William Goddard III; Lawrence Cathles III; Mario Blanco; Paul Manhardt; Peter Meulbroek; Yongchun Tang

2004-05-01T23:59:59.000Z

293

Improved steamflood analytical model  

E-Print Network [OSTI]

two field cases, a 45x23x8 model was used that represented 1/8 of a 10-acre 5-spot pattern unit, using typical rock and reservoir fluid properties. In the SPE project case, three models were used: 23x12x12 (2.5 ac), 31x16x12 (5 ac) and 45x23x8 (10 ac...

Chandra, Suandy

2006-10-30T23:59:59.000Z

294

Systems Modeling | ornl.gov  

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

Computational Physics Communication Networks and Technologies Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Systems Modeling SHARE Systems Modeling System modeling is the interdisciplinary study of the use of models to conceptualize and construct systems. A common type of systems modeling is function modeling, with specific techniques such as the functional flow block diagram. These models can be extended using functional decomposition, and can be linked to requirements models for further systems

295

Das Standard Modell  

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

Model Model Was ist fundamental? Das Standard Modell Physiker haben eine Theorie - Das Standard Modell - entwickelt, welche erklärt, woraus die Welt besteht und was sie zusammenhält. Es ist eine einfache und überzeugende Theorie, welche hunderte von Teilchen und ihre gegenseitigen Wechselwirkungen erklärt. Dazu braucht sie nur wenige elementare Teilchen : 6 Quarks. 6 Leptonen. Das bekannteste Lepton ist das Elektron. Wir reden gleich von Leptonen. Kraft-Träger Teilchen, wie z.B. das Photon. Wir werden später über diese Teilchen reden. Alle bekannten materiellenTeilchen sind aus Quarks und Leptonen zusammengesetzt und sie wechselwirken untereinander durch den Austausch von Kraft-Träger Teilchen. Das Standard Modell ist eine gute Theorie. Eine grosse Zahl von Experimenten haben ihre Voraussagen mit unglaublicher Präzision bestätigt und alle Teilchen, welche die Theorie bis heute vorausgesagt hat, wurden auch gefunden. Aber die Theorie kann nicht alles erklären. Die Schwerkraft zum Beispiel ist nicht im Standard Modell eingeschlossen.

296

Learning planar ising models  

SciTech Connect (OSTI)

Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.

Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN

2010-11-12T23:59:59.000Z

297

Model checking grid security  

Science Journals Connector (OSTI)

Grid computing is one of the leading forms of high performance computing. Security in the grid environment is a challenging issue that can be characterized as a complex system involving many subtleties that may lead designers into error. This is similar to what happens with security protocols where automatic verification techniques (specially model checking) have been proved to be very useful at design time. This paper proposes a formal verification methodology based on model checking that can be applied to host security verification for grid systems. The proposed methodology must take into account that a grid system can be described as a parameterized model, and security requirements can be described as hyperproperties. Unfortunately, both parameterized model checking and hyperproperty verification are, in general, undecidable. However, it has been proved that this problem becomes decidable when jobs have some regularities in their organization. Therefore, this paper presents a verification methodology that reduces a given grid system model to a model to which it is possible to apply a cutoff theorem (i.e., a requirement is satisfied by a system with an arbitrary number of jobs if and only if it is satisfied by a system with a finite number of jobs up to a cutoff size). This methodology is supported by a set of theorems, whose proofs are presented in this paper. The methodology is explained by means of a case study: the Condor system.

F. Pagliarecci; L. Spalazzi; F. Spegni

2013-01-01T23:59:59.000Z

298

Leveraging Model-Based Tool Integration by Conceptual Modeling Techniques  

Science Journals Connector (OSTI)

In the context of model-based tool integration, model transformation languages are the first choice for realizing model exchange between heterogenous tools. However, the lack of a conceptual view on the integr...

Gerti Kappel; Manuel Wimmer; Werner Retschitzegger

2011-01-01T23:59:59.000Z

299

Leveraging model-based tool integration by conceptual modeling techniques  

Science Journals Connector (OSTI)

In the context of model-based tool integration, model transformation languages are the first choice for realizing model exchange between heterogenous tools. However, the lack of a conceptual view on the integration problem and appropriate reuse mechanisms ...

Gerti Kappel; Manuel Wimmer; Werner Retschitzegger; Wieland Schwinger

2011-01-01T23:59:59.000Z

300

Beyond the Standard Model  

SciTech Connect (OSTI)

'BSM physics' is a phrase used in several ways. It can refer to physical phenomena established experimentally but not accommodated by the Standard Model, in particular dark matter and neutrino oscillations (technically also anything that has to do with gravity, since gravity is not part of the Standard Model). 'Beyond the Standard Model' can also refer to possible deeper explanations of phenomena that are accommodated by the Standard Model but only with ad hoc parameterizations, such as Yukawa couplings and the strong CP angle. More generally, BSM can be taken to refer to any possible extension of the Standard Model, whether or not the extension solves any particular set of puzzles left unresolved in the SM. In this general sense one sees reference to the BSM 'theory space' of all possible SM extensions, this being a parameter space of coupling constants for new interactions, new charges or other quantum numbers, and parameters describing possible new degrees of freedom or new symmetries. Despite decades of model-building it seems unlikely that we have mapped out most of, or even the most interesting parts of, this theory space. Indeed we do not even know what is the dimensionality of this parameter space, or what fraction of it is already ruled out by experiment. Since Nature is only implementing at most one point in this BSM theory space (at least in our neighborhood of space and time), it might seem an impossible task to map back from a finite number of experimental discoveries and measurements to a unique BSM explanation. Fortunately for theorists the inevitable limitations of experiments themselves, in terms of resolutions, rates, and energy scales, means that in practice there are only a finite number of BSM model 'equivalence classes' competing at any given time to explain any given set of results. BSM phenomenology is a two-way street: not only do experimental results test or constrain BSM models, they also suggest - to those who get close enough to listen - new directions for BSM model building. Contrary to popular shorthand jargon, supersymmetry (SUSY) is not a BSM model: it is a symmetry principle characterizing a BSM framework with an infinite number of models. Indeed we do not even know the full dimensionality of the SUSY parameter space, since this presumably includes as-yet-unexplored SUSY-breaking mechanisms and combinations of SUSY with other BSM principles. The SUSY framework plays an important role in BSM physics partly because it includes examples of models that are 'complete' in the same sense as the Standard Model, i.e. in principle the model predicts consequences for any observable, from cosmology to b physics to precision electroweak data to LHC collisions. Complete models, in addition to being more explanatory and making connections between diverse phenomena, are also much more experimentally constrained than strawman scenarios that focus more narrowly. One sometimes hears: 'Anything that is discovered at the LHC will be called supersymmetry.' There is truth behind this joke in the sense that the SUSY framework incorporates a vast number of possible signatures accessible to TeV colliders. This is not to say that the SUSY framework is not testable, but we are warned that one should pay attention to other promising frameworks, and should be prepared to make experimental distinctions between them. Since there is no formal classification of BSM frameworks I have invented my own. At the highest level there are six parent frameworks: (1) Terascale supersymmetry; (2) PNGB Higgs; (3) New strong dynamics; (4) Warped extra dimensions; (5) Flat extra dimensions; and (6) Hidden valleys. Here is the briefest possible survey of each framework, with the basic idea, the generic new phenomena, and the energy regime over which the framework purports to make comprehensive predictions.

Lykken, Joseph D.; /Fermilab

2010-05-01T23:59:59.000Z

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


301

Multiscale Thermohydrologic Model  

SciTech Connect (OSTI)

The purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. Thus, the goal is to predict the range of possible thermal-hydrologic conditions across the repository; this is quite different from predicting a single expected thermal-hydrologic response. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes (Table 1-1). These thermal-hydrologic parameters are required to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]). The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock. The MSTHM uses data obtained from the data tracking numbers (DTNs) listed in Table 4.1-1. The majority of those DTNs were generated from the following analyses and model reports: (1) ''UZ Flow Model and Submodels'' (BSC 2004 [DIRS 169861]); (2) ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004); (3) ''Calibrated Properties Model'' (BSC 2004 [DIRS 169857]); (4) ''Thermal Conductivity of the Potential Repository Horizon'' (BSC 2004 [DIRS 169854]); (5) ''Thermal Conductivity of the Non-Repository Lithostratigraphic Layers'' (BSC 2004 [DIRS 170033]); (6) ''Ventilation Model and Analysis Report'' (BSC 2004 [DIRS 169862]); (7) ''Heat Capacity Analysis Report'' (BSC 2004 [DIRS 170003]).

T. Buscheck

2004-10-12T23:59:59.000Z

302

Simple Modular LED Cost Model  

Broader source: Energy.gov [DOE]

The LED Cost Model, developed by the DOE Cost Modeling Working Group, provides a simplified method for analyzing the manufacturing costs of an LED package. The model focuses on the major cost...

303

Operating and Capital Expenditures Models  

Science Journals Connector (OSTI)

In this chapter, you will learn how to plan, create, and use the Operating Expenditure (OPEX) model and the Capital Expenditure (CAPEX) model. These models are used ... to forecast, respectively, general operatin...

2009-01-01T23:59:59.000Z

304

The Standard Cosmological Model  

E-Print Network [OSTI]

The Standard Model of Particle Physics (SMPP) is an enormously successful description of high energy physics, driving ever more precise measurements to find "physics beyond the standard model", as well as providing motivation for developing more fundamental ideas that might explain the values of its parameters. Simultaneously, a description of the entire 3-dimensional structure of the present-day Universe is being built up painstakingly. Most of the structure is stochastic in nature, being merely the result of the particular realisation of the "initial conditions" within our observable Universe patch. However, governing this structure is the Standard Model of Cosmology (SMC), which appears to require only about a dozen parameters. Cosmologists are now determining the values of these quantities with increasing precision in order to search for "physics beyond the standard model", as well as trying to develop an understanding of the more fundamental ideas which might explain the values of its parameters. Although it is natural to see analogies between the two Standard Models, some intrinsic differences also exist, which are discussed here. Nevertheless, a truly fundamental theory will have to explain both the SMPP and SMC, and this must include an appreciation of which elements are deterministic and which are accidental. Considering different levels of stochasticity within cosmology may make it easier to accept that physical parameters in general might have a non-deterministic aspect.

Douglas Scott

2005-10-26T23:59:59.000Z

305

Advanced Chemistry Basins Model  

SciTech Connect (OSTI)

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.

Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun

2003-02-13T23:59:59.000Z

306

Using the Model Coupling Toolkit to couple earth system models  

Science Journals Connector (OSTI)

Continued advances in computational resources are providing the opportunity to operate more sophisticated numerical models. Additionally, there is an increasing demand for multidisciplinary studies that include interactions between different physical processes. Therefore there is a strong desire to develop coupled modeling systems that utilize existing models and allow efficient data exchange and model control. The basic system would entail model 1 running on M processors and model 2 running on N processors, with efficient exchange of model fields at predetermined synchronization intervals. Here we demonstrate two coupled systems: the coupling of the ocean circulation model Regional Ocean Modeling System (ROMS) to the surface wave model Simulating \\{WAves\\} Nearshore (SWAN), and the coupling of ROMS to the atmospheric model Coupled Ocean Atmosphere Prediction System (COAMPS). Both coupled systems use the Model Coupling Toolkit (MCT) as a mechanism for operation control and inter-model distributed memory transfer of model variables. In this paper we describe requirements and other options for model coupling, explain the MCT library, ROMS, SWAN and COAMPS models, methods for grid decomposition and sparse matrix interpolation, and provide an example from each coupled system. Methods presented in this paper are clearly applicable for coupling of other types of models.

John C. Warner; Natalie Perlin; Eric D. Skyllingstad

2008-01-01T23:59:59.000Z

307

WEC Model Development at Sandia  

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

2C 2C Marine and Hydrokinetic Instrumentation, Measurement & Computer Modeling Workshop - Broomfield, CO July 9 th , 2012 Wave Energy Converter Model Development at Sandia Outline  Overview of SNL's WEC Modeling Activities * Wave Energy Development Roadmap * MHK Reference Models - Diana Bull * WEC Model Tool Development - Kelley Ruehl Reference Models and SNL Array Modeling presented in next session Wave Energy Development Roadmap Overall Goal and Motivation  Goal: Develop a suggested path for WEC development from design to commercialization.  Motivation: Guide industry towards successful design optimizations, prototype deployments, and utility scale commercialization by providing a roadmap incorporating numerical modeling and experimentation.

308

Simple ocean carbon cycle models  

SciTech Connect (OSTI)

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.

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

309

Realistic modeling for facial animation  

Science Journals Connector (OSTI)

Keywords: RGB/Range scanners, discrete deformable models, facial animation, feature-based facial adaptation, physics-based facial modeling, texture mapping

Yuencheng Lee; Demetri Terzopoulos; Keith Waters

1995-09-01T23:59:59.000Z

310

Numerical Modeling | Open Energy Information  

Open Energy Info (EERE)

Numerical Modeling Numerical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Numerical Modeling Details Activities (8) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Dictionary.png Numerical Modeling: A computer model that is designed to simulate and reproduce the mechanisms of a particular system. Other definitions:Wikipedia Reegle

311

Standard Model Holdout INSIDE  

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

May 2, 1997 May 2, 1997 Number 9 f Searching for the Standard Model Holdout INSIDE 2 University Close-Up: Pisa 5 Facilities Managers' Meeting 6 Birth of a Bison Photo by Reidar Hahn An international collaboration at Fermilab sets out to observe the elusive tau neutrino. by Donald Sena, Office of Public Affairs When two collaborations announced the discovery of the top quark at Fermi National Accelerator Laboratory in 1995, many news outlets erroneously reported that the last remaining piece of the current theory of matter and energy, known as the Standard Model, had been found. What reporters and even a few physicists forgot is that the elusive tau neutrino, while firmly entrenched in the Standard Model, has never been directly observed. In the early 1980s, there was one minor attempt to find the tau neutrino

312

Modeling of engine sprays  

SciTech Connect (OSTI)

Atomization and full-cone sprays from single cylindrical orifices are considered. The following subjects are reviewed: the structure of the breakup region; the structure of the far field; modern models that, given the outcome of the breakup process, compute the steady and transient of sprays; some comparisons with detailed measurements; and some practical applications. The following conclusions are reached: the spray breakup and the development regions are the most relevant in engine applications; the inner structure of the breakup region is still largely unknown; two- and three-dimensional spray models are available but remain mostly untested, particularly in their vaporization and combustion components, in part because of a lack of accurate measurements in controlled engine-type environments; engine applications of such models are, nonetheless, recommended for very valuable learning, interpretative, and exploratory studies, but not for predictions.

Bracco, F.V.

1985-01-01T23:59:59.000Z

313

A Quantum Production Model  

E-Print Network [OSTI]

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.

Lus Tarrataca; Andreas Wichert

2015-02-06T23:59:59.000Z

314

Extended Ising model  

Science Journals Connector (OSTI)

In this paper we describe a numerical method of solving the local-density mean-field equations of spatially frustrated lattice models. Using techniques of simulated annealing and simultaneous updating of collective modes, we have been able to locate the global minima of a function with many nearby local minima. This approach is applied to an isotropic frustrated lattice model with magnetic field in order to determine the global phase diagram. We also mention a related simulation technique which might be used to replace the traditional single-spin-flip Monte Carlo method. This appears to be a promising way of simulating periodic spatially frustrated lattice Hamiltonians. Finally, some consideration is given to the physical interpretation of a lattice model of microemulsions.

P. Balbuena and K. A. Dawson

1988-12-01T23:59:59.000Z

315

Ocean General Circulation Models  

SciTech Connect (OSTI)

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 Earths 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.

Yoon, Jin-Ho; Ma, Po-Lun

2012-09-30T23:59:59.000Z

316

Human melanopsin forms a pigment maximally sensitive to blue light (?max ? 479 nm) supporting activation of Gq/11 and Gi/o signalling cascades  

Science Journals Connector (OSTI)

...interest in the extent to which current lighting design engages this new photoreceptor...response of mouse melanopsin to a variety of lighting conditions [51]. The method for calculating...work was supported by grants from the Medical Research Council (Milstein Award to...

2013-01-01T23:59:59.000Z

317

Nanoscience D O I N GI ST I T U T EI N SW E I Z M A N NT H ETW H A  

E-Print Network [OSTI]

outside the cell · The goal: self assembling transistors made of DNA · Organic molecules to fine Sensors · Doing what comes naturally · Tomorrow's reporters ­ cells on a chip · Light reading · Of sieves nanoscopic drug delivery systems or achieve a far greener environment born of solar energy triumphs

Maoz, Shahar

318

-Spatial Scale of GiS-derived cateGorical variableS -421 Applied Vegetation Science 11: 421-430, 2008  

E-Print Network [OSTI]

data and categorical maps, is practicality.WedefineGIS-derivedcategoricaldataasan off-site method are inexpensive and easily accessible prior to an investigation to anyone with a GIS. Categorical maps are used scale of GIS-derived categorical variables affects their ability to separate sites by community

McCune, Bruce

319

KH?O ST M?I QUAN H? GI?A ?? TH?M V ?NG SU?T V?A ...  

E-Print Network [OSTI]

Oil and Gas recovery conference held in. Midland, Texas, 25-27 March (1998). 12. Gang, H. and Maurice, B. D. Description of fluid flow around a wellbore with...

GEOPET

2005-09-30T23:59:59.000Z

320

Calibrated Properties Model  

SciTech Connect (OSTI)

This report has documented the methodologies and the data used for developing rock property sets for three infiltration maps. Model calibration is necessary to obtain parameter values appropriate for the scale of the process being modeled. Although some hydrogeologic property data (prior information) are available, these data cannot be directly used to predict flow and transport processes because they were measured on scales smaller than those characterizing property distributions in models used for the prediction. Since model calibrations were done directly on the scales of interest, the upscaling issue was automatically considered. On the other hand, joint use of data and the prior information in inversions can further increase the reliability of the developed parameters compared with those for the prior information. Rock parameter sets were developed for both the mountain and drift scales because of the scale-dependent behavior of fracture permeability. Note that these parameter sets, except those for faults, were determined using the 1-D simulations. Therefore, they cannot be directly used for modeling lateral flow because of perched water in the unsaturated zone (UZ) of Yucca Mountain. Further calibration may be needed for two- and three-dimensional modeling studies. As discussed above in Section 6.4, uncertainties for these calibrated properties are difficult to accurately determine, because of the inaccuracy of simplified methods for this complex problem or the extremely large computational expense of more rigorous methods. One estimate of uncertainty that may be useful to investigators using these properties is the uncertainty used for the prior information. In most cases, the inversions did not change the properties very much with respect to the prior information. The Output DTNs (including the input and output files for all runs) from this study are given in Section 9.4.

H. H. Liu

2003-02-14T23:59:59.000Z

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


321

Computer-Aided Modeling Framework for Efficient Model Development, Analysis, and Identification: Combustion and Reactor Modeling  

Science Journals Connector (OSTI)

A representative of the systems modeling languages is Modelica,(8) a standardized modeling language based on object-oriented concepts. ... Modelica Association. ... Modelica - A Unified Object-Oriented Language for Physical Systems Models. ...

Martina Heitzig; Grkan Sin; Mauricio Sales-Cruz; Peter Glarborg; Rafiqul Gani

2010-10-22T23:59:59.000Z

322

Appendix 3-3-The complete model formulation for detailed multiple release software product simulation model  

E-Print Network [OSTI]

simulation model In this appendix the model formulations for the detailed simulation model (discussed

Rahmandad, Hazhir

323

Multiphase Flow Modeling Research  

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

Science Science Chris Guenther, Director Computational Science Division RUA Spring Meeting, Morgantown, WV March 2013 2 NETL's Multiphase Flow Science Team * The Multiphase Flow Science Team develops physics-based simulation models to conduct applied scientific research. - Development of new theory - Extensive on-site and collaborative V&V efforts and testing - Engages in technology transfer - Applies the models to industrial scale problems. 3 Why is Multiphase Flow Science Needed? * Industry is increasingly relying on multiphase technologies to produce clean and affordable energy with carbon capture. * Unfortunately, the presence of a solid phase reduces the operating capacity of a typical energy device from its original design on average by 40% [1].

324

Modelling coal gasification  

Science Journals Connector (OSTI)

Coal gasification processes in a slurry-feed-type entrained-flow gasifier are studied. Novel simulation methods as well as numerical results are presented. We use the vorticity-stream function method to study the characteristics of gas flow and a scalar potential function is introduced to model the mass source terms. The random trajectory model is employed to describe the behaviour of slurry-coal droplets. Very detailed results regarding the impact of the O2/coal ratio on the distribution of velocity, temperature and concentration are obtained. Simulation results show that the methods are feasible and can be used to study a two-phase reacting flow efficiently.

Xiang Jun Liu; Wu Rong Zhang; Tae Jun Park

2001-01-01T23:59:59.000Z

325

Projected SO(5) models  

Science Journals Connector (OSTI)

We construct a class of projected SO(5) models where the Gutzwiller constraint of no-double-occupancy is implemented exactly. We introduce the concept of projected SO(5) symmetry where all static correlation functions are exactly SO(5) symmetric and discuss the signature of the projected SO(5) symmetry in dynamical correlation functions. We show that this class of projected SO(5) models can give a realistic description of the global phase diagram of the high-Tc superconductors and account for many of their physical properties.

Shou-Cheng Zhang; Jiang-Ping Hu; Enrico Arrigoni; Werner Hanke; Assa Auerbach

1999-11-01T23:59:59.000Z

326

Morphological modeling of neurons  

E-Print Network [OSTI]

of the Bifurcation Model . 2. Extension to Multifurcations 3. Diameter Dependence and Rail's Ratio . D. Representation of Somata E. Representation of the Environment 5 7 7 7 9 10 10 14 14 14 16 L-SYSTEM MODELING . A. L-system Grammars Can Generate... morphologies generated for a uniform logical space would have to be mapped into the generally non-uniform physical space. We suggest a so- lution to this problem which involves the use of three-dimensional grids and mapping these grids between the uniform...

Mulchandani, Kishore

1995-01-01T23:59:59.000Z

327

Pistons modeled by potentials  

E-Print Network [OSTI]

In this article we consider a piston modelled by a potential in the presence of extra dimensions. We analyze the functional determinant and the Casimir effect for this configuration. In order to compute the determinant and Casimir force we employ the zeta function scheme. Essentially, the computation reduces to the analysis of the zeta function associated with a scalar field living on an interval $[0,L]$ in a background potential. Although, as a model for a piston, it seems reasonable to assume a potential having compact support within $[0,L]$, we provide a formalism that can be applied to any sufficiently smooth potential.

Guglielmo Fucci; Klaus Kirsten; Pedro Morales

2011-06-03T23:59:59.000Z

328

Paraphrastic Language Models  

E-Print Network [OSTI]

Paraphrastic Language Models X. Liu1, M. J. F. Gales & P. C. Woodland Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, England Abstract Natural languages are known for their expressive richness. Many sentences can... interger counts based Witten-Bell smoothing, where the baseline bi-gram LSA model using gave an error rate of 23.8% 16 computational cost, feed-forward NNLMs are normally trained using only a small in-domain data set, for example, audio transcripts...

Liu, X.; Gales, M. J. F.; Woodland, P. C.

2014-04-30T23:59:59.000Z

329

Map algebra and model algebra for integrated model building  

Science Journals Connector (OSTI)

Computer models are important tools for the assessment of environmental systems. A seamless workflow of construction and coupling of model components is essential for environmental scientists. However, currently available software packages are often ... Keywords: Biomass-harvest model, Component-based modelling, PCRaster, Python, Spatio-temporal simulation

Oliver Schmitz; Derek Karssenberg; Kor De Jong; Jean-Luc De Kok; Steven M. De Jong

2013-10-01T23:59:59.000Z

330

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

331

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

332

TDE Ecosystem Model Intercomparison Data Archive: Model Descriptions  

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

Model Descriptions Model Descriptions BGC++ BIOME-BGC CANOAK EALCO ecosys INTRASTAND LaRS LINKAGES v2.1 LoTEC MAESTRA NuCM PnET II SPA Literature Cited A total of 13 models were used in this study covering a range of temporal scales, spatial complexity, and mechanistic detail (Figure 1). Eight of the models (8) used an hourly time step, four models used a daily time step, and only one model used a monthly time step (i.e., PnET-II). Most models provided estimates for both stand carbon and water budgets, but other were limited to either the carbon (MAESTRA) or water (LINKAGES and NuCM) budgets. The most mechanistically complex models (ecosys, CLASS, LaRS, and CANOAK) also used a complete energy balance. A brief description of each of the models is provided below. BGC++ The BGC++ model (Hunt et al. 1999) simulates carbon, nitrogen, and

333

Asymmetrical Ising model  

Science Journals Connector (OSTI)

A model is introduced, which shows a discontinuous or first-order phase transition in temperature coordinate. As temperature increases, its long-range order undergoes a discontinuity at the condensation point, but contrary to the conventional assumption it does not vanish after the phase change. The long-range order remains nonzero at all finite temperatures and vanishes only at infinite temperature.

Huey W. Huang

1975-07-01T23:59:59.000Z

334

Rheological Model for Wood  

E-Print Network [OSTI]

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.

Mohammad Masoud Hassani; Falk K. Wittel; Stefan Hering; Hans J. Herrmann

2014-10-15T23:59:59.000Z

335

Modeling the earth system  

SciTech Connect (OSTI)

The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

Ojima, D. [ed.

1992-12-31T23:59:59.000Z

336

COMPUTER PROCESSING AND MODELING -  

E-Print Network [OSTI]

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

Nehorai, Arye

337

Dynamic Modelling, Measurement and  

E-Print Network [OSTI]

Dynamic Modelling, Measurement and Control of Co-rotating Twin-Screw Extruders Justin Rae Elsey, B;Summary Co-rotating twin-screw extruders are unique and versatile machines that are used widely that these extruders are currently being optimally utilised. The most signi cant improvement to the eld of twin-screw

Fernandez, Thomas

338

Introduction Model Formulation  

E-Print Network [OSTI]

Two-Phase Flow Peter Knabner, Estelle Marchand, Torsten M¨uller Department Mathematics Friedrich June 13th, 2011 Peter Knabner, Estelle Marchand, Torsten M¨uller The Mathematics of Porous Media 2011 1 / 30 #12;Introduction Model Formulation Results Outline 1 Introduction Peter Knabner, Estelle Marchand

Gugat, Martin

339

Physical modelling in biomechanics  

Science Journals Connector (OSTI)

...affixed side-by-side to wave-swept rocky shores, and many repli- cates of such...is of interest, then models should have safety factors (maximum stress experienced due...we assumed that the body sur- face was flat, and that the copepod's other appendages...

2003-01-01T23:59:59.000Z

340

Geothermal Electricity Technology Evaluation Model | Department...  

Energy Savers [EERE]

Geothermal Electricity Technology Evaluation Model Geothermal Electricity Technology Evaluation Model The Geothermal Electricity Technology Evaluation Model (GETEM) aids the...

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341

Optimization of Variational Boussinesq Models  

E-Print Network [OSTI]

Optimization of Variational Boussinesq Models 2 4 6 8 10 2 4 6 8 10 0 0.5 1 1.5 2 1 2 Kapp -Kex 0 of Arts and Sciences). Ivan Lakhturov: Optimization of Variational Boussinesq Models c 2012 Printed Boussinesq Model (VBM). The VBM is a model for waves above a layer of ideal fluid, which conserves mass

Al Hanbali, Ahmad

342

Chemistry, Reservoir, and Integrated Models  

Broader source: Energy.gov [DOE]

Below are the project presentations and respective peer review results for Chemistry, Reservoir and Integrated Models.

343

Interactive modeler for cloth draping  

E-Print Network [OSTI]

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...

Thumrugoti, Umakanth

2012-06-07T23:59:59.000Z

344

Observational and Numerical Modeling Studies of Turbulence on the Texas-Louisiana Continental Shelf  

E-Print Network [OSTI]

.31) are then given by: @tvi + vj@jvi @j @jvi v0jv0i + 2 ijl jvl = @ip 0 gi 0 ; (1.34) 18 @jvj = 0; (1.35) @tT + vj@jT @j T@jT v0jT 0 = @zI cp 0 ; (1.36) @tS + vj@jS @j S@jS v0jS 0 = 0: (1.37) There are unknown second... + 0T 0@jjv0i + v 0 i@jjT 0 = v0iv0j@jT @jviv0jT 0 2 ijl jv0lT 0 gi 0 T 0 0 1 0 T 0@ip0 + v 0 j@ip 0 2( + 0)@jv0i@jT 0; (1.39) @tT 02 + @j vjT 02 + v0jT 02 + 0@jT 02 = 2v0jT 0@jT 2 0(@jT 0)2; (1.40) 19 @tT 0S 0 + @j...

Zhang, Zheng

2013-05-24T23:59:59.000Z

345

Conceptual Model | Open Energy Information  

Open Energy Info (EERE)

Conceptual Model Conceptual Model Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Conceptual Model Details Activities (17) Areas (4) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Rock types, rock chemistry, stratigraphic layer organization Stratigraphic/Structural: Location and shape of permeable and non-permeable structures, faults, fracture patterns Hydrological: Hydrothermal fluid flow characteristics, up-flow patterns Thermal: Temperature and pressure extrapolation throughout reservoir, heat source characteristics Dictionary.png Conceptual Model:

346

GROUT HOPPER MODELING STUDY  

SciTech Connect (OSTI)

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.

Lee, S.

2011-08-30T23:59:59.000Z

347

LLNL Chemical Kinetics Modeling Group  

SciTech Connect (OSTI)

The LLNL chemical kinetics modeling group has been responsible for much progress in the development of chemical kinetic models for practical fuels. The group began its work in the early 1970s, developing chemical kinetic models for methane, ethane, ethanol and halogenated inhibitors. Most recently, it has been developing chemical kinetic models for large n-alkanes, cycloalkanes, hexenes, and large methyl esters. These component models are needed to represent gasoline, diesel, jet, and oil-sand-derived fuels.

Pitz, W J; Westbrook, C K; Mehl, M; Herbinet, O; Curran, H J; Silke, E J

2008-09-24T23:59:59.000Z

348

Model WC-18000  

Office of Legacy Management (LM)

Model WC-18000 Model WC-18000 by NuPac . VOLUME REDUCTION means ravings in transportation and burial. l AIR FILTRATION SYSTEM l 18000 lb. COMPACTION 0 ELECTRO-MECHANICAL OPERATION l OVER 20 UNITS IN OPERATION NUCLEAR PACKAGING INC. 815 South 28th St. Tacoma, Washington 98409 (2061572.7775 or 838-1243 See w at Booth 58 HP Society Annusl Meetllng isotope ; & radiation COMPLIANCE Radiography firm loses license Oflicial ilc,i

349

Transformations of Ising Models  

Science Journals Connector (OSTI)

The "star-triangle" and "decoration" transformations are generalized so as to apply to arbitrary mechanical systems coupled to the spins of a standard Ising net. This leads to exact solutions for further plane Ising nets and also for lattices in which the spins on alternate sites have a magnitude greater than S=12. A general class of antiferromagnetic Ising models is constructed; exact closed expressions can be derived for all the thermodynamic and magnetic properties of these models in an arbitrary magnetic field.The magnetizations and susceptibilities of Ising nets in which different spins have different magnetic moments are investigated and a valuable relation between the susceptibilities of the honeycomb and triangular lattices is derived. It is shown how correlation functions involving a given spin can be expressed in terms of correlations involving the nearest-neighbor spins instead.

Michael E. Fisher

1959-02-15T23:59:59.000Z

350

Integrated astrophysical modeling  

SciTech Connect (OSTI)

In this project, we have developed prototype techniques for defining and extending a variety of astrophysical modeling capabilities, including those involving multidimensional hydrodynamics, complex transport, and flexibly-coupled equation-of state and nuclear reaction networks. As expected, this project is having both near-term payoffs in understanding complex astrophysical phenomena, as well as significant spin-offs in terms of people and ideas to related ASCI code efforts. Most of our work in the first part of this project was focused on the modularization, extension, and initial integration of 4 previously separate and incommensurate codes: the stellar evolution/explosion code KEPLER; the non-LTE spectral line transport code, EDDINGTON, used for modeling supernovae spectra; the 3-D smooth particle hydro code, PIP; and the discontinuous-finite-element, 3D hydro module from the lCF3D code.

Weaver, T.A., Eastman, R.G., Dubois, P., Eltgroth, P.G., Gentile, N., Jedamzik, K., Wilson, J.R.

1997-06-03T23:59:59.000Z

351

Recovery Boiler Modeling  

E-Print Network [OSTI]

, east, e, west, w, bot tom, b, and top, t, neighbors. The neighboring cou pling coefficients (an, a., .. , etc) express the magnitudes of the convection and diffusion which occur across the control volume boundaries. The variable b p represents... represents a model of one half of the recovery boiler. The boiler has three air levels. The North, South and East boundaries of the computational domain represent the water walls of the boiler. The West boundary represents a symmetry plane. It should...

Abdullah, Z.; Salcudean, M.; Nowak, P.

352

Nonminimal SU(5) model  

Science Journals Connector (OSTI)

The existence of the solution of the symmetry-breaking problem SU(5)?SU(3) SU(2)U(1)Y?SU(3)U(1)Q is shown in a nonminimal model where the 75-dimensional Higgs field is used instead of the usual 24-dimensional one. The result is given in an explicit and simple form. The relevance of this solution to existing theories and to problems related to proton decay is discussed.

T. Hbsch; S. Meljanac; S. Pallua

1985-06-01T23:59:59.000Z

353

Anomaly for Model Building  

E-Print Network [OSTI]

A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

Utpal Sarkar

2006-06-19T23:59:59.000Z

354

The Paradata Information Model  

E-Print Network [OSTI]

the Strawman: Generic Longitudinal Business Process Model (GLBPM) Specializing GLBPM The PIM Formalism Sequencing Data Collection, Data Processing and Data Understanding Activities The Microarray Experiment Use Case Understanding Sequences The Gamification... Understanding Sequences The Gamification of GSBPM Next Steps 2 PARADATA IN THE NATIONAL CHILDRENS STUDY Use Case 3 In the NCS so-called operational data elements were defined and designed to assist in the assessment of feasibility, acceptability...

Greenfield, Jay; Carpenter, Danielle

2013-04-02T23:59:59.000Z

355

Chaplygin electron gas model  

E-Print Network [OSTI]

We provide a new electromagnetic mass model admitting Chaplygin gas equation of state. We investigate three specializations, the first characterized by a vanishing effective pressure, the second provided with a constant effective density and the third is described by a constant effective pressure. For these specializations two particular cases are discussed. In addition, for specialization I, case I we found isotropic coordinate as well as Kretschmann scalar, and for specialization III, case II two special scenarios have been studied.

I. Radinschi; F. Rahaman; M. Kalam; K. Chakraborty

2008-11-01T23:59:59.000Z

356

Modeling volcanic ash dispersal  

ScienceCinema (OSTI)

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 Eyjafjll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.

None

2011-10-06T23:59:59.000Z

357

Sequence modelling and an extensible data model for genomic database  

SciTech Connect (OSTI)

The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS's do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the Extensible Object Model'', to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

Li, Peter Wei-Der (California Univ., San Francisco, CA (United States) Lawrence Berkeley Lab., CA (United States))

1992-01-01T23:59:59.000Z

358

Sequence modelling and an extensible data model for genomic database  

SciTech Connect (OSTI)

The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS`s do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the ``Extensible Object Model``, to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

Li, Peter Wei-Der [California Univ., San Francisco, CA (United States); [Lawrence Berkeley Lab., CA (United States)

1992-01-01T23:59:59.000Z

359

Two Ecosystem Demography Models Released  

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

Ecosystem Demography Models Released Ecosystem Demography Models Released The ORNL DAAC is pleased to announce the release of two Ecosystem Demography Models: Ecosystem Demography Model: U.S. Ecosystem Carbon Stocks and Fluxes, 1700-1990 . Data set prepared by G. Hurtt, S.W. Pacala, P.R. Moorcroft, J. Caspersen, E. Shevliakova, R.A. Houghton, B. Moore III, and J. Fisk. This model product contains the source code for the Ecosystem Demography Model (ED version 1.0) as well as model input and output data files for the conterminous United States. The ED is a mechanistic ecosystem model built around established sub-models of leaf level physiology, organic matter decomposition, hydrology, and functional biodiversity. It was used herein to estimate ecosystem carbon stocks and fluxes in the conterminous U.S. at

360

Modeling for Airborne Contamination  

SciTech Connect (OSTI)

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.

F.R. Faillace; Y. Yuan

2000-08-31T23:59:59.000Z

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


361

Random Item Modeling: An Extension and Generalization of MIRID models  

E-Print Network [OSTI]

be seen in both the RF- and the RR-MIRD models and meets ourthe FR- MIRID and the RR-MIRD show the better fit than thestudy shows how various RI-MIRD models fit verbal aggression

Lee, Yongsang

2010-01-01T23:59:59.000Z

362

Comparison of Photovoltaic Models in the System Advisor Model: Preprint  

SciTech Connect (OSTI)

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.

Blair, N. J.; Dobos, A. P.; Gilman, P.

2013-08-01T23:59:59.000Z

363

Generic Models and Their Support in Modeling Problem Solving Behavior  

Science Journals Connector (OSTI)

Generic models have received widespread attention in knowledge based systems research (KBS) as an important aid in the process of modeling problem solving behavior. However, little empirical evidence has bee...

Philip Rademakers; Johan Vanwelkenhuysen

1993-01-01T23:59:59.000Z

364

Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

Modeling Techniques Modeling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Modeling Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Data and Modeling Techniques Information Provided by Technique Lithology: Rock types, rock chemistry, stratigraphic layer organization Stratigraphic/Structural: Stress fields and magnitudes, location and shape of permeable and non-permeable structures, faults, fracture patterns Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids, hydrothermal fluid flow characteristics, up-flow patterns

365

Rapid SmartCode Modeling Procedural Modeling for Urban Environments  

E-Print Network [OSTI]

(Autodesk, 2009). Another key innovation with this research is that our procedural modeling tools for 3D

366

STATISTICAL MECHANICS: FROM ISING MODELS TO UNITARY MINIMAL MODELS  

E-Print Network [OSTI]

STATISTICAL MECHANICS: FROM ISING MODELS TO UNITARY MINIMAL MODELS Paul A. PEARCE Mathematics universality classes of critical behaviour including the critical and tricritical Ising model, the critical of a ferromagnet with his Ph.D. student Ising2 . This period gave birth to the subject of exactly solvable lattice

Pearce, Paul A.

367

EG-Models -A New Journal for Digital Geometry Models  

E-Print Network [OSTI]

to build up large col- lections of plaster models in the 19th century for educational purposes and the plaster collections with mod- ern computer tools. But the possibilities of the digital models go well beyond those of the libraries with classical plaster shapes and dynamic steel models in earlier days

Polthier, Konrad

368

Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning  

E-Print Network [OSTI]

Modeling Interplanetary Logistics: A Mathematical Model for Mission Planning Christine Taylor, Miao design is how to best design the logistics required to sustain the exploration initiative. Using terrestrial logistics modeling tools that have been extended to encompass the dynamics and requirements

de Weck, Olivier L.

369

Using the Model Coupling Toolkit to couple earth system models  

Science Journals Connector (OSTI)

Continued advances in computational resources are providing the opportunity to operate more sophisticated numerical models. Additionally, there is an increasing demand for multidisciplinary studies that include interactions between different physical ... Keywords: COAMPS, Model Coupling Toolkit, Model coupling, ROMS, SWAN, Sparse matrix interpolation

John C. Warner; Natalie Perlin; Eric D. Skyllingstad

2008-10-01T23:59:59.000Z

370

Gas Distribution Modeling using Sparse Gaussian Process Mixture Models  

E-Print Network [OSTI]

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

Stachniss, Cyrill

371

Standardised and transparent model descriptions for agent-based models: Current status and prospects  

Science Journals Connector (OSTI)

Agent-based models are helpful to investigate complex dynamics in coupled human-natural systems. However, model assessment, model comparison and replication are hampered to a large extent by a lack of transparency and comprehensibility in model descriptions. ... Keywords: Agent-based modelling, Domain specific languages, Graphical representations, Model communication, Model comparison, Model design, Model development, Model replication, Standardised protocols

Birgit Mller, Stefano Balbi, Carsten M. Buchmann, Lus De Sousa, Gunnar Dressler, Jrgen Groeneveld, Christian J. Klassert, Quang Bao Le, James D. A. Millington, Henning Nolzen, Dawn C. Parker, J. Gary Polhill, Maja Schlter, Jule Schulze, Nina Schwarz, Zhanli Sun, Patrick Taillandier, Hanna Weise

2014-05-01T23:59:59.000Z

372

A framework for benchmarking land models  

E-Print Network [OSTI]

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

2012-01-01T23:59:59.000Z

373

Development and application of earth system models  

Science Journals Connector (OSTI)

...Development and application of earth system models 10.1073/pnas.1107470109...to climate mitigation that earth system models can help inform. These models...processes. Why do we need earth system models (ESMs)? First, such models...

Ronald G. Prinn

2013-01-01T23:59:59.000Z

374

Chemical kinetics modeling  

SciTech Connect (OSTI)

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.

Westbrook, C.K.; Pitz, W.J. [Lawrence Livermore National Laboratory, CA (United States)

1993-12-01T23:59:59.000Z

375

Modeling pionic fusion  

Science Journals Connector (OSTI)

Recently observed rare heavy ion fusion processes, where the entire available energy is carried away by a single pion, is an example of extreme collectivity in nuclear reactions. We calculate the cross section in the approximation of sudden overlap, modeling the initial and final nuclei by moving harmonic oscillator potentials. This allows for a fully quantum-mechanical treatment, exact conservation of linear and angular momenta and fulfillment of the Pauli principle. The results are in satisfactory agreement with data. Mass number dependence and general trends of the process are discussed.

Alexander Volya; Scott Pratt; Vladimir Zelevinsky

1999-01-01T23:59:59.000Z

376

MESOMECHANICAL MODELING OF FRACTURE  

Science Journals Connector (OSTI)

This paper reviews the efforts of the author and his colleagues over the past five decades to develop mesomechanical models of material failure. In the early 1970s a procedure known as the NAG/FRAG (Nucleation and Growth to Fragmentation) methodology was introduced by a group at SRI International. Experiments are performed in which the evolution of micro structural damage is measured posttest as a function of stress time?at?stress temperature and other environmental parameters. Damage nucleation and growth functions are deduced via iterative computational simulations. I conclude the review with a discussion of a current challenging problem: that of designing improved glass and ceramic armors.

D. R. Curran

2009-01-01T23:59:59.000Z

377

Stochastic modeling of Congress  

E-Print Network [OSTI]

We analyze the dynamics of growth of the number of congressmen supporting the resolution HR1207 to audit the Federal Reserve. The plot of the total number of co-sponsors as a function of time is of "Devil's staircase" type. The distribution of the numbers of new co-sponsors joining during a particular day (step height) follows a power law. The distribution of the length of intervals between additions of new co-sponsors (step length) also follows a power law. We use a modification of Bak-Tang-Wiesenfeld sandpile model to simulate the dynamics of Congress and obtain a good agreement with the data.

Simkin, M V

2010-01-01T23:59:59.000Z

378

Toward Energetically Consistent Ocean Models  

Science Journals Connector (OSTI)

Possibilities to construct a realistic quasi-global ocean model in Boussinesq approximation with a closed energy cycle are explored in this study. In such a model, the energy related to the mean variables would interact with all parameterized ...

Carsten Eden; Lars Czeschel; Dirk Olbers

2014-12-01T23:59:59.000Z

379

Molecular Modeling at Plastic Recycling  

Science Journals Connector (OSTI)

The possibility to model the new materials from recycled post industrial polymer rejects by molecular modeling methods was investigated by comparison of the results obtained from the simulation process and the experiments.

Laura Martinelli; Sabino Sinesi; Alessio Baron Toaldo; Maurizio Fermeglia; Paola Posocco; Tomasz Szczurek; Marek Kozlowski

2007-01-01T23:59:59.000Z

380

Image-based building modeling.  

E-Print Network [OSTI]

??Image-based modeling is the process of converting 2D images of the real world into digital 3D models in computer. Among myriad kinds of objects in (more)

Xiao, Jianxiong

2009-01-01T23:59:59.000Z

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


381

Real-world data modeling  

Science Journals Connector (OSTI)

Capturing the value in real-world data requires more than fitting trivial models or visually exploring the data. Rather, we must efficiently isolate driving variables, confirm or reject potential outliers and build models which are both accurate and ...

Mark Kotanchek

2010-07-01T23:59:59.000Z

382

3D Modeling with Silhouettes  

E-Print Network [OSTI]

We present a new sketch-based modeling approach in which models are interactively designed by drawing their 2D silhouettes from different views. The core idea of our paper is to limit the input to 2D silhouettes, removing ...

Rivers, Alec Rothmyer

383

Physical system modeling with Modelica  

Science Journals Connector (OSTI)

A new language, called ModelicaTM, for the modeling of physical systems has been developed in an international effort. The main objective was to make it easy to exchange models and model libraries. The design approach builds on non-causal modeling with true ordinary differential and algebraic equations and the use of object-oriented constructs to facilitate the reuse of modeling knowledge. There are already several modeling languages based on these ideas, available from universities and small companies. There is also significant experience of using them in various applications. The aim of the Modelica effort was to unify the concepts and to design a new uniform language for model representation. The paper describes the effort, gives an overview of Modelica, and demonstrates how Modelica is used in real-world applications: modeling of an automatic gearbox and of a heat exchanger.

Sven Erik Mattsson; Hilding Elmqvist; Martin Otter

1998-01-01T23:59:59.000Z

384

Testing Simple Models of ENSO  

Science Journals Connector (OSTI)

The realistic simulation of El NioSouthern Oscillation (ENSO) by the University of California, Los Angeles (UCLA), coupled atmosphereocean general circulation model (CGCM) is used to test two simple theoretical models of the phenomenon: the ...

Carlos R. Mechoso; J. David Neelin; Jin-Yi Yu

2003-01-01T23:59:59.000Z

385

The MAGS Integrated Modeling System  

Science Journals Connector (OSTI)

The Mackenzie GEWEX Study (MAGS) integrated modeling system was developed to couple, with full feedback, selected atmospheric and hydrologic models, with the expectation that the imposed consistency will enhan...

E. D. (Ric) Soulis; Frank R. Seglenieks

2008-01-01T23:59:59.000Z

386

Geologic Framework Model (GFM2000)  

SciTech Connect (OSTI)

The purpose of this report is to document the geologic framework model, version GFM2000 with regard to input data, modeling methods, assumptions, uncertainties, limitations, and validation of the model results, and the differences between GFM2000 and previous versions. The version number of this model reflects the year during which the model was constructed. This model supersedes the previous model version, documented in Geologic Framework Model (GFM 3.1) (CRWMS M&O 2000 [DIRS 138860]). The geologic framework model represents a three-dimensional interpretation of the geology surrounding the location of the monitored geologic repository for spent nuclear fuel and high-level radioactive waste at Yucca Mountain. The geologic framework model encompasses and is limited to an area of 65 square miles (168 square kilometers) and a volume of 185 cubic miles (771 cubic kilometers). The boundaries of the geologic framework model (shown in Figure 1-1) were chosen to encompass the exploratory boreholes and to provide a geologic framework over the area of interest for hydrologic flow and radionuclide transport modeling through the unsaturated zone (UZ). The upper surface of the model is made up of the surface topography and the depth of the model is constrained by the inferred depth of the Tertiary-Paleozoic unconformity. The geologic framework model was constructed from geologic map and borehole data. Additional information from measured stratigraphic sections, gravity profiles, and seismic profiles was also considered. The intended use of the geologic framework model is to provide a geologic framework over the area of interest consistent with the level of detailed needed for hydrologic flow and radionuclide transport modeling through the UZ and for repository design. The model is limited by the availability of data and relative amount of geologic complexity found in an area. The geologic framework model is inherently limited by scale and content. The grid spacing used in the geologic framework model (200 feet [61 meters]), discussed in Section 6.4.2, limits the size of features that can be resolved by the model but is appropriate for the distribution of data available and its intended use. Uncertainty and limitations are discussed in Section 6.6 and model validation is discussed in Section 7.

T. Vogt

2004-08-26T23:59:59.000Z

387

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.

388

Copula Based Hierarchical Bayesian Models  

E-Print Network [OSTI]

WITH THE SAME MARGINAL AND CONDITIONAL LINK . 9 III.1. Random effects model . . . . . . . . . . . . . . . . . . . . 12 III.1.1. Logistic link with bridge random effects . . . . . 15 III.1.2. Log-log link with positive stable random effects . 19 III.1.3. Logistic... probabilities for models of various order . . . . . . . . . . . 58 8. Comparison among various mixture-copula models . . . . . . . . . . 59 9. DIC, AAPE and AAD for the two competing models . . . . . . . . . 93 10. Posterior summary of parameters for the two...

Ghosh, Souparno

2010-10-12T23:59:59.000Z

389

Simulation Modeling of Estuarine Ecosystems  

Science Journals Connector (OSTI)

A simulation model has been developed of Galveston Bay, Texas ecosystem. Secondary productivity measured by harvestable species...

Robert W. Johnson

1980-01-01T23:59:59.000Z

390

New Model for Amorphous Magnetism  

Science Journals Connector (OSTI)

We propose a new model for magnetism in an amorphous material. The model is particularly appropriate for rare-earth compounds such as TbF2. It is a Heisenberg model in which each ionic spin is subjected to a local anisotropy field of random orientation. We discuss the magnetic properties of two simple ionic configurations, and show that the model is in qualitative agreement with the experimental data.

R. Harris; M. Plischke; M. J. Zuckermann

1973-07-16T23:59:59.000Z

391

Introduction Cognitive Models of Science  

E-Print Network [OSTI]

Introduction Cognitive Models of Science Ronald N. Giere MINNESOTA STUDIES IN THE PHILOSOPHY OF SCIENCE VOLUME XV Cognitive Models of Science RONALD N. GIERE, EDITOR Terms and Conditions: You may use://www.upress.umn.edu/Books/K/kellert_scientific.html http://www.mcps.umn.edu #12;#12;Cognitive Models of Science, Volume XV RONALD N. GIERE UNIVERSITY

Janssen, Michel

392

Modelling the global coastal ocean  

Science Journals Connector (OSTI)

...by the present generation of Earth system models, both in terms of resolution...Friedlingstein et al. 2001). These Earth system models invariably give a very poor...the current generation of Earth system models is a long way from resolving...

2009-01-01T23:59:59.000Z

393

Bianchi Models with Chaplygin Gas  

E-Print Network [OSTI]

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.

Glin; Uluyazi; zgr Sevinc

2012-09-13T23:59:59.000Z

394

Regions in Energy Market Models  

SciTech Connect (OSTI)

This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

Short, W.

2007-02-01T23:59:59.000Z

395

Compositional Receptor Modeling Dean Billheimer  

E-Print Network [OSTI]

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

Washington at Seattle, University of

396

Modeling & Simulation - GCTool  

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

GCTool Computer Model Helps Focus Fuel Cell Vehicle Research Somewhere near Detroit, an automotive engineer stares at the ceiling, wondering how to squeeze 1% more efficiency out of the fuel cell reformer she's been working on. Never mind 5% more from the next component on her list. Computer software, such as Argonne's GCTool, lets designers "try out" different system configurations, without the expense and delays of actually building numerous prototypes. Our engineer could learn that she's been worrying about the wrong thing. Argonne systems analysts have shown that in fuel cell systems for vehicles, more is not always better. For example, increasing the efficiency of the fuel processor (the component that converts hydrocarbon fuel into hydrogen for the fuel cell) may actually lower the overall system efficiency. "They go in opposite directions. You can make the fuel processor more efficient, but that's because you're stealing energy from somewhere else in the system," says Argonne's Romesh Kumar, who leads Argonne's fuel cell modeling efforts.

397

The standard model  

SciTech Connect (OSTI)

In these lectures, my aim is to provide a survey of the standard model with emphasis on its renormalizability and electroweak radiative corrections. Since this is a school, I will try to be somewhat pedagogical by providing examples of loop calculations. In that way, I hope to illustrate some of the commonly employed tools of particle physics. With those goals in mind, I have organized my presentations as follows: In Section 2, renormalization is discussed from an applied perspective. The technique of dimensional regularization is described and used to define running couplings and masses. The utility of the renormalization group for computing leading logs is illustrated for the muon anomalous magnetic moment. In Section 3 electroweak radiative corrections are discussed. Standard model predictions are surveyed and used to constrain the top quark mass. The S, T, and U parameters are introduced and employed to probe for ``new physics``. The effect of Z{prime} bosons on low energy phenomenology is described. In Section 4, a detailed illustration of electroweak radiative corrections is given for atomic parity violation. Finally, in Section 5, I conclude with an outlook for the future.

Marciano, W.J.

1994-03-01T23:59:59.000Z

398

Advanced Chemistry Basins Model  

SciTech Connect (OSTI)

The DOE-funded Advanced Chemistry Basin model project is intended to develop a public domain, user-friendly basin modeling software under PC or low end workstation environment that predicts hydrocarbon generation, expulsion, migration and chemistry. The main features of the software are that it will: (1) afford users the most flexible way to choose or enter kinetic parameters for different maturity indicators; (2) afford users the most flexible way to choose or enter compositional kinetic parameters to predict hydrocarbon composition (e.g., gas/oil ratio (GOR), wax content, API gravity, etc.) at different kerogen maturities; (3) calculate the chemistry, fluxes and physical properties of all hydrocarbon phases (gas, liquid and solid) along the primary and secondary migration pathways of the basin and predict the location and intensity of phase fractionation, mixing, gas washing, etc.; and (4) predict the location and intensity of de-asphaltene processes. The project has be operative for 36 months, and is on schedule for a successful completion at the end of FY 2003.

William Goddard; Mario Blanco; Lawrence Cathles; Paul Manhardt; Peter Meulbroek; Yongchun Tang

2002-11-10T23:59:59.000Z

399

Regional Economic Models, Inc. (REMI) Model | Open Energy Information  

Open Energy Info (EERE)

Regional Economic Models, Inc. (REMI) Model Regional Economic Models, Inc. (REMI) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: REMI Agency/Company /Organization: Regional Economic Models Inc. Sector: Energy Focus Area: Transportation Phase: Determine Baseline, Develop Goals Topics: Baseline projection, GHG inventory, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.remi.com/ Cost: Paid References: http://www.remi.com/index.php?page=overview&hl=en_US Related Tools Job and Economic Development Impact Models (JEDI) The Integrated Environmental Strategies Handbook: A Resource Guide for Air Quality Planning

400

Ising model on random networks and the canonical tensor model  

E-Print Network [OSTI]

We introduce a statistical system on random networks of trivalent vertices for the purpose of studying the canonical tensor model, which is a rank-three tensor model in the canonical formalism. The partition function of the statistical system has a concise expression in terms of integrals, and has the same symmetries as the kinematical ones of the canonical tensor model. We consider the simplest non-trivial case of the statistical system corresponding to the Ising model on random networks, and find that its phase diagram agrees with what is implied by regrading the Hamiltonian vector field of the canonical tensor model with N = 2 as a renormalization group flow. Along the way, we obtain an explicit exact expression of the free energy of the Ising model on random networks in the thermodynamic limit by the Laplace method. This paper provides a new example connecting a model of quantum gravity and a random statistical system.

Sasakura, Naoki

2014-01-01T23:59:59.000Z

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


401

Kinetic model for electrorefining, part I: Model development and validation  

Science Journals Connector (OSTI)

Abstract Electrorefining is the key process of the pryprocessing for treatment of spent nuclear fuels. In the present study, a kinetic model for electrorefining is developed. The model has the capability to predict the kinetic features of materials dissolution/deposition at anodes/cathodes of the electrorefiner and the evolution of the partial currents of the species involved, the potentials of the electrodes, and species concentrations in the molten salt. The model takes into account the changes of the surface areas and the volumes of the electrodes related to materials dissolution and deposition. The model is validated by compared with available experimental data. This article, focusing on the model development and validation, is Part I of the systemic study on development of the pyroprocessing model. Part II of this study will focus on the applications of the model.

Jinsuo Zhang

2014-01-01T23:59:59.000Z

402

Model documentation report: Transportation sector model of the National Energy Modeling System  

SciTech Connect (OSTI)

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.

Not Available

1994-03-01T23:59:59.000Z

403

Storage Business Model White Paper  

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

Storage Business Model White Paper Storage Business Model White Paper Summary June 11 2013 Storage Business Model White Paper - Purpose  Identify existing business models for investors/operators, utilities, end users  Discuss alignment of storage "value proposition" with existing market designs and regulatory paradigms  Difficulties in realizing wholesale market product revenue streams for distributed storage - the "bundled applications" problem  Discuss risks/barriers to storage adoption and where existing risk mitigation measures fall down  Recommendations for policy/research steps - Alternative business models - Accelerated research into life span and failure modes

404

Inventory of state energy models  

SciTech Connect (OSTI)

These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

1980-03-31T23:59:59.000Z

405

VEMAP 2: Selected Model Results  

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

Model Results Model Results The ORNL DAAC announces the release of two data sets from Phase 2 of the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP). The two data sets contain monthly and annual results, respectively, from experiments conducted to compare the ecological responses of the suite of VEMAP models to projected transient scenarios of climate and atmospheric carbon dioxide for the period 1994 to 2100. The models investigated included five biogeochemical cycling models, which simulate plant production and nutrient cycles but rely on a static land-cover type, and two dynamic global vegetation models (DGVMs), which combine biogeochemical cycling processes with dynamic biogeographical processes including succession and fire simulation. VEMAP was an international project studying the response of biogeochemical

406

Application of Improved Radiation Modeling to General Circulation Models  

SciTech Connect (OSTI)

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.

Michael J Iacono

2011-04-07T23:59:59.000Z

407

Modeling & Simulation - Batteries  

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

Production of Batteries for Electric and Hybrid Vehicles Production of Batteries for Electric and Hybrid Vehicles battery assessment graph Lithium-ion (Li-ion) batteries are currently being implemented in hybrid electric (HEV), plug-in hybrid electric (PHEV), and electric (EV) vehicles. While nickel metal-hydride will continue to be the battery chemistry of choice for some HEV models, Li-ion will be the dominate battery chemistry of the remaining market share for the near-future. Large government incentives are currently necessary for customer acceptance of the vehicles such as the Chevrolet Volt and Nissan Leaf. Understanding the parameters that control the cost of Li-ion will help researchers and policy makers understand the potential of Li-ion batteries to meet battery energy density and cost goals, thus enabling widespread adoption without incentives.

408

Inhomogeneous critical Ising model  

Science Journals Connector (OSTI)

The spectrum of the transfer matrix of a semi-infinite two-dimensional Isin model with marginally inhomogeneous couplings has been determined exactly in the finite-size-scaling limit at the bulk critical point. Depending on the local temperature at the boundary the surface phase transition of this system is either of first order or of second order with nonuniversal critical exponents. For a second-order transition, the excitation energies of the transfer matrix are inversely proportional to the linear size (N) of the system, but the levels are not equidistantly spaced. On the other hand, for a first-order transition the lowest gap vanishes algegraically, but faster than 1/N.

Ferenc Igli

1990-06-18T23:59:59.000Z

409

Modeling cortical circuits.  

SciTech Connect (OSTI)

The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach is to reduce each algorithm to an enhanced perceptron-like structure and describe its computation using difference equations. We organize this algorithmic processing into larger structures based on physiological observations, and implement key modeling concepts in software which runs on parallel computing hardware.

Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J.; Xavier, Patrick Gordon

2010-09-01T23:59:59.000Z

410

Modeling Turbulent Flow  

National Nuclear Security Administration (NNSA)

Turbulent Turbulent Flow with Implicit LES L.G. Margolin 1 Proceedings of the Joint Russian-American Five Laboratory Conference on Computational Mathematics/Physics 19-23 June, 2005 Vienna, Austria 1 Applied Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, len@lanl.gov 1 Abstract Implicit large eddy simulation (ILES) is a methodology for modeling high Reynolds' num- ber flows that combines computational efficiency and ease of implementation with predictive calculations and flexible application. Although ILES has been used for more than fifteen years, it is only recently that significant effort has gone into providing a physical rationale that speaks to its capabilities and its limitations. In this talk, we will present new theoret- ical results aimed toward building a justification and discuss some remaining gaps in our understanding and our practical

411

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network [OSTI]

to apply to other building modeling practices. 2. Wemodel 3.1. Mathematical modeling Building models proposed inMore details of building thermal modeling and estimation of

Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

412

Linking Material Flow Analysis and Resource Policy via Future Scenarios of In-Use Stock: An Example for Copper  

Science Journals Connector (OSTI)

In practice, applying this approach in a future-oriented study is more challenging than simply fitting a statistical model to energy and material demand and macroeconomic data. ... Inspection of historical data on residential wiring and piping penetration rates (Figure 1) indicates that the many microlevel decisions that lead to residential wiring or piping installation can be represented by a proxy indicator of regional affluence, the purchasing power parity adjusted gross domestic product per capita measured in constant dollars (GDP ppp per capita). ...

Michael D. Gerst

2009-07-22T23:59:59.000Z

413

COMPACT SUBGROUPS OF GLn(Qp) KEITH CONRAD  

E-Print Network [OSTI]

) = gi then (gi) gi mod Gdi+1 , i.e., (gi) giGdi+1 . Before we construct the integers di and matrices it converges and to approximate it using partial products, we switch our focus to the subgroups Gdi , which shrink to the identity in a controlled way through the powers of p defining them. Since gi Gdi K, di

Lozano-Robledo, Alvaro

414

Radiolysis Model Formulation for Integration with the Mixed Potential Model  

SciTech Connect (OSTI)

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

Buck, Edgar C.; Wittman, Richard S.

2014-07-10T23:59:59.000Z

415

MODEL SELECTION FOR SPECTROPOLARIMETRIC INVERSIONS  

SciTech Connect (OSTI)

Inferring magnetic and thermodynamic information from spectropolarimetric observations relies on the assumption of a parameterized model atmosphere whose parameters are tuned by comparison with observations. Often, the choice of the underlying atmospheric model is based on subjective reasons. In other cases, complex models are chosen based on objective reasons (for instance, the necessity to explain asymmetries in the Stokes profiles) but it is not clear what degree of complexity is needed. The lack of an objective way of comparing models has, sometimes, led to opposing views of the solar magnetism because the inferred physical scenarios are essentially different. We present the first quantitative model comparison based on the computation of the Bayesian evidence ratios for spectropolarimetric observations. Our results show that there is not a single model appropriate for all profiles simultaneously. Data with moderate signal-to-noise ratios (S/Ns) favor models without gradients along the line of sight. If the observations show clear circular and linear polarization signals above the noise level, models with gradients along the line are preferred. As a general rule, observations with large S/Ns favor more complex models. We demonstrate that the evidence ratios correlate well with simple proxies. Therefore, we propose to calculate these proxies when carrying out standard least-squares inversions to allow for model comparison in the future.

Asensio Ramos, A.; Manso Sainz, R.; Martinez Gonzalez, M. J.; Socas-Navarro, H. [Instituto de Astrofisica de Canarias, E-38205, La Laguna, Tenerife (Spain); Viticchie, B. [ESA/ESTEC RSSD, Keplerlaan 1, 2200 AG Noordwijk (Netherlands); Orozco Suarez, D., E-mail: aasensio@iac.es [National Astronomical Observatory of Japan, Mitaka, Tokyo 181-8588 (Japan)

2012-04-01T23:59:59.000Z

416

UZ Flow Models and Submodels  

SciTech Connect (OSTI)

The purpose of this report is to document the unsaturated zone (UZ) flow models and submodels, as well as the flow fields that have been generated using the UZ flow model(s) of Yucca Mountain, Nevada. In this report, the term ''UZ model'' refers to the UZ flow model and the several submodels, which include tracer transport, temperature or ambient geothermal, pneumatic or gas flow, and geochemistry (chloride, calcite, and strontium) submodels. The term UZ flow model refers to the three-dimensional models used for calibration and simulation of UZ flow fields. This work was planned in the ''Technical Work Plan (TWP) for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Section 1.2.7). The table of included Features, Events, and Processes (FEPs), Table 6.2-11, is different from the list of included FEPs assigned to this report in the ''Technical Work Plan for: Unsaturated Zone Flow Analysis and Model Report Integration'' (BSC 2004 [DIRS 169654], Table 2.1.5-1), as discussed in Section 6.2.6. The UZ model has revised, updated, and enhanced the previous UZ model (BSC 2001 [DIRS 158726]) by incorporating the repository design with new grids, recalibration of property sets, and more comprehensive validation effort. The flow fields describe fracture-fracture, matrix-matrix, and fracture-matrix liquid flow rates, and their spatial distributions as well as moisture conditions in the UZ system. These three-dimensional UZ flow fields are used directly by Total System Performance Assessment (TSPA). The model and submodels evaluate important hydrogeologic processes in the UZ as well as geochemistry and geothermal conditions. These provide the necessary framework to test hypotheses of flow and transport at different scales, and predict flow and transport behavior under a variety of climatic conditions. In addition, the limitations of the UZ model are discussed in Section 8.11.

Y. Wu

2004-11-01T23:59:59.000Z

417

Systems Advisor Model | Department of Energy  

Energy Savers [EERE]

Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on...

418

Realization Modeling and Simulation in the  

E-Print Network [OSTI]

: 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

419

Modelling of magnesium metabolism in dairy cattle.  

E-Print Network [OSTI]

??A model of magnesium metabolism in dairy cattle has been developed by adapting and improving an earlier model of magnesium metabolism in sheep. The model (more)

Bell, S. T.

2006-01-01T23:59:59.000Z

420

Watershed Modeling for Biofuels | Argonne National Laboratory  

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

Watershed Modeling for Biofuels Argonne's watershed modeling research addresses water quality in tributary basins of the Mississippi River Basin Argonne's watershed modeling...

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


421

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

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

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

422

Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling...  

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

Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Integrated Nozzle Flow, Spray, Combustion, & Emission Modeling using KH-ACT Primary...

423

Wind Technology Modeling Within the System Advisor Model (SAM...  

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

P. Gilman, J. Whitmore* National Renewable Energy Laboratory * Golden, Colorado OFFSHORE WINDPOWER 2014, Las Vegas, May 58, 2014 Model Basics Outputs and Advanced Analysis...

424

Petroleum Market Model of the National Energy Modeling System  

SciTech Connect (OSTI)

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.

NONE

1997-01-01T23:59:59.000Z

425

Modelling of Crude Oil Distillation; Modellering av roljedestillation.  

E-Print Network [OSTI]

?? In the reservoir conditions, a petroleum fluid is defined by its thermodynamic and volumetric properties and by its physicochemical properties. Their behaviors are modeled (more)

Souck, Jenny

2012-01-01T23:59:59.000Z

426

Modeling Fluid Flow in Natural Systems, Model Validation and...  

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

rock, flow is primarily in relatively sparse networks of fractures. Discrete fracture network (DFNs) models are an approach to representing flow in fractured rock that...

427

Quality Assurance of Computational Model  

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

of Computational of Computational Models Presented at the Annual Department of Presented at the Annual Department of Energy Quality Council Meeting Subir K. Sen Sub . Se Office of Quality Assurance, HS-33 December 7, 2011 Outline Outline * Introduction Introduction * GAO Report 11-143 i l h C il * National Research Council Focus * DOE Model Validation/Performance * Summary 2 Introduction Introduction * Computer models are used in EM's massive Computer models are used in EM s massive clean up effort to model physical and biogeochemical processes biogeochemical processes. * Results from these computational models are often used to make costly cleanup decisions often used to make costly cleanup decisions including selection, performance assessment and annual

428

Randomly coupled Ising models  

Science Journals Connector (OSTI)

We consider the phase diagram of two randomly coupled Ising models to mimic the successive phase transitions in plastic crystals. Detailed mean-field calculations are performed. Depending on the strength of the couplings, the phase diagrams display three ordered phases and some multicritical points. A tetracritical point is found to turn bicritical as the strength of the couplings increases. The nature of this multicritical point is then analyzed by means of a momentum-space renormalization-group calculation. Using the replica trick, we obtain an effective n-component spin Hamiltonian. The random coupling is found to be relevant and shown to have drastic effects on the multicritical behavior. The lower critical dimension is estimated to be dl=2. In the n=0 limit, to first order in the parameter ?=4-d, a system of seven recursion relations is obtained. Although there is a stable fixed point, it cannot be reached from physically acceptable initial conditions. We give arguments to support a runaway of the flow lines associated with a fluctuation-induced first-order transition.

S. Galam; S. R. Salinas; Y. Shapir

1995-02-01T23:59:59.000Z

429

Theoretical models for supernovae  

SciTech Connect (OSTI)

The results of recent numerical simulations of supernova explosions are presented and a variety of topics discussed. Particular emphasis is given to (i) the nucleosynthesis expected from intermediate mass (10sub solar less than or equal to M less than or equal to 100 Msub solar) Type II supernovae and detonating white dwarf models for Type I supernovae, (ii) a realistic estimate of the ..gamma..-line fluxes expected from this nucleosynthesis, (iii) the continued evolution, in one and two dimensions, of intermediate mass stars wherein iron core collapse does not lead to a strong, mass-ejecting shock wave, and (iv) the evolution and explosion of vary massive stars (M greater than or equal to 100 Msub solar of both Population I and III. In one dimension, nuclear burning following a failed core bounce does not appear likely to lead to a supernova explosion although, in two dimensions, a combination of rotation and nuclear burning may do so. Near solar proportions of elements from neon to calcium and very brilliant optical displays may be created by hypernovae, the explosions of stars in the mass range 100 M/sub solar/ to 300 M/sub solar/. Above approx. 300 M/sub solar/ a black hole is created by stellar collapse following carbon ignition. Still more massive stars may be copious producers of /sup 4/He and /sup 14/N prior to their collapse on the pair instability.

Woosley, S.E.; Weaver, T.A.

1981-09-21T23:59:59.000Z

430

Pulsar Wind Nebulae Modeling  

E-Print Network [OSTI]

Pulsar Wind Nebulae (PWNe) are ideal astrophysical laboratories where high energy relativistic phenomena can be investigated. They are close, well resolved in our observations, and the knowledge derived in their study has a strong impact in many other fields, from AGNs to GRBs. Yet there are still unresolved issues, that prevent us from a full clear understanding of these objects. The lucky combination of high resolution X-ray imaging and numerical codes to handle the outflow and dynamical properties of relativistic MHD, has opened a new avenue of investigation that has lead to interesting progresses in the last years. Despite all of this, we do not understand yet how particles are accelerated, and the functioning of the pulsar wind and pulsar magnetosphere, that power PWNe. I will review what is now commonly known as the MHD paradigm, and in particular I will focus on various approaches that have been and are currently used to model these systems. For each I will highlight its advantages, limitations, and de...

Bucciantini, N

2013-01-01T23:59:59.000Z

431

Principles of models based engineering  

SciTech Connect (OSTI)

This report describes a Models Based Engineering (MBE) philosophy and implementation strategy that has been developed at Los Alamos National Laboratory`s Center for Advanced Engineering Technology. A major theme in this discussion is that models based engineering is an information management technology enabling the development of information driven engineering. Unlike other information management technologies, models based engineering encompasses the breadth of engineering information, from design intent through product definition to consumer application.

Dolin, R.M.; Hefele, J.

1996-11-01T23:59:59.000Z

432

An inhomogeneous fractal cosmological model  

E-Print Network [OSTI]

We present a cosmological model in which the metric allows for an inhomogeneous Universe with no intrinsic symmetries (Stephani models), providing the ideal features to describe a fractal distribution of matter. Constraints on the metric functions are derived using the expansion and redshift relations and allowing for scaling number counts, as expected in a fractal set. The main characteristics of such a cosmological model are discussed.

Fulvio Pompilio; Marco Montuori

2001-11-28T23:59:59.000Z

433

Modeling of shallow stabilization ponds  

SciTech Connect (OSTI)

A two-dimensional hydrodynamic model is used to simulate shallow stabilization ponds. The model computes the flow field and the concentration distribution of a conservative tracer in the entire area of a pond. The location and the size of the dead zones, the bypassing, and the recirculating areas are also determined by the model. The numerical results are in good agreement with the experimental data obtained in the laboratory.

Babarutsi, S.; Marchand, P.; Safieddine, T.

1999-07-01T23:59:59.000Z

434

Phenomenologies of Higgs messenger models  

E-Print Network [OSTI]

In this paper, we investigate the phenomenologies of models where the Higgs sector plays the role of messengers in gauge mediation. The minimal Higgs sector and its extension are considered respectively. We find that there exist viable models when an appropriate parity is imposed. Phenomenological features in these kind of models include three sum rules for scalar masses, light gluino as well as one-loop $\\mu$ and two-loop $B\\mu$ terms.

Sibo Zheng; Yao Yu; Xing-Gang Wu

2011-06-28T23:59:59.000Z

435

Kinetic Modeling of Microbiological Processes  

SciTech Connect (OSTI)

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

Liu, Chongxuan; Fang, Yilin

2012-09-17T23:59:59.000Z

436

ORISE: Dose modeling and assessments  

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

have participated include: Derivation of DCGLs for the Curtis Bay and Hammond depots Vermont Yankee Nuclear Power Station dose assessment study Radium timepiece dose modeling...

437

Model system for slow dynamics  

Science Journals Connector (OSTI)

Systems whose dynamics are described by a quasilogarithmic or stretched-exponential time dependence are usually fitted by models which use disorder to create a distribution of relaxation times. Here we describe a model which decays slowly towards equilibrium but does not require disorder to provide the slow dynamics. The model consists of a spin system with the spins interacting via the dipole-dipole interaction. The model is able to replicate the more pronounced features observed in the magnetization decay of magnetic systems and high-temperature superconductors.

D. K. Lottis; R. M. White; E. Dan Dahlberg

1991-07-15T23:59:59.000Z

438

Building information modeling for MEP.  

E-Print Network [OSTI]

??Building Information Modeling (BIM) is a new way of approaching the design, construction, and management of a building. It is an innovative method that bridges (more)

McFarland, Jessica E

2007-01-01T23:59:59.000Z

439

UZ Flow Models and Submodels  

SciTech Connect (OSTI)

The purpose of this Model Report is to document the unsaturated zone (UZ) fluid flow and tracer transport models and submodels as well as the flow fields generated utilizing the UZ Flow and Transport Model of Yucca Mountain (UZ Model), Nevada. This work was planned in ''Technical Work Plan (TWP) for: Performance Assessment Unsaturated Zone'' (BSC 2002 [160819], Section 1.10, Work Package AUZM06). The UZ Model has revised, updated, and enhanced the previous UZ Flow Model REV 00 ICN 01 (BSC 2001 [158726]) by incorporation of the conceptual repository design with new grids, recalibration of property sets, and more comprehensive validation effort. The flow fields describe fracture-fracture, matrix-matrix, and fracture-matrix liquid flow rates and their spatial distributions as well as moisture conditions in the UZ system. These 3-D UZ flow fields are used directly by Performance Assessment (PA). The model and submodels evaluate important hydrogeologic processes in the UZ as well as geochemistry and geothermal conditions. These 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 conditions. In addition, this Model Report supports several PA activities, including abstractions, particle-tracking transport simulations, and the UZ Radionuclide Transport Model.

P. Dixon

2004-02-11T23:59:59.000Z

440

Model building techniques for analysis.  

SciTech Connect (OSTI)

The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

2009-09-01T23:59:59.000Z

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


441

Transformer modeling in power systems  

SciTech Connect (OSTI)

A practical and accurate method of modeling various transformers in power systems using a general circuit model approach is described in this paper. The advantage of the new approach is that it can model transformers along with a complex circuit network, while avoiding the use of symmetrical components, unlike other approaches. The transformer modeling technique introduced in this paper is very useful to accurately determine fault current distribution in a power system and electromagnetic interference on pipelines and communication lines installed in a right-of-way consisting of transmission lines operating at different voltages.

Ma, J.; Dawalibi, F.P. [Safe Engineering Services and Technologies Ltd., Montreal, Quebec (Canada)

1999-11-01T23:59:59.000Z

442

Macro-System Model Overview  

Broader source: Energy.gov [DOE]

Presentation on Macro-System Model Overview given by Mark Ruth of the National Renewable Energy Laboratory during the DOE Hydrogen Transition Analysis Workshop on January 26, 2006.

443

Nuclear Fallout Models An Overview  

SciTech Connect (OSTI)

This presentation is an introduction to a full report, which is a tutorial for individuals using the products of the models reviewed.

Hodges, Matthew [UNLV

2014-10-21T23:59:59.000Z

444

Different convection models in ATLAS  

E-Print Network [OSTI]

Convection is an important phenomenon in the atmospheres of A-type and cooler stars. A description of convection in ATLAS models is presented, together with details of how it is specified in model calculations. The effects of changing the treatment of convection on model structures and how this affects observable quantities are discussed. The role of microturbulence is examined, and its link to velocity fields within the atmosphere. Far from being free parameters, mixing-length and microturbulence should be constrained in model calculations.

Barry Smalley

2005-09-19T23:59:59.000Z

445

Generic Model Host System Design  

SciTech Connect (OSTI)

There are many simulation codes for accelerator modelling; each one has some strength but not all. A platform which can host multiple modelling tools would be ideal for various purposes. The model platform along with infrastructure support can be used not only for online applications but also for offline purposes. Collaboration is formed for the effort of providing such a platform. In order to achieve such a platform, a set of common physics data structure has to be set. Application Programming Interface (API) for physics applications should also be defined within a model data provider. A preliminary platform design and prototype is discussed.

Chu, Chungming; /SLAC; Wu, Juhao; /SLAC; Qiang, Ji; /LBL, Berkeley; Shen, Guobao; /Brookhaven

2012-06-22T23:59:59.000Z

446

Spatiotemporal brain imaging and modeling  

E-Print Network [OSTI]

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 ...

Lin, Fa-Hsuan, 1972-

2004-01-01T23:59:59.000Z

447

Numerical Modeling of HCCI Combustion  

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

Numerical Modeling of HCCI Combustion Salvador M. Aceves, Daniel L. Flowers, J. Ray Smith, Joel Martinez-Frias, Francisco Espinosa-Loza, Tim Ross, Bruce Buchholz, Nick...

448

Pie Model of Capital Structure  

Science Journals Connector (OSTI)

A model of the debt-equity ratio of the firms, graphically depicted in slices of a pie that represents the value of the firm...

2006-01-01T23:59:59.000Z

449

Coaxial Cable Modeling and Verification.  

E-Print Network [OSTI]

??In this paper, analysis of coaxial cable is used to reveal how an electromagnetic wave propagates in an electrical conductor, and a new modeling language, (more)

Shan, Zhengyu

2012-01-01T23:59:59.000Z

450

Toward Models for Forensic Analysis  

E-Print Network [OSTI]

Farmer and Wietse Venema. Forensic Discovery. Addison WesleyTo summarize, a good forensic model should possess theparameter that enables a forensic analyst to decide what to

Peisert, Sean; Bishop, Matt; Karin, Sidney; Marzullo, Keith

2007-01-01T23:59:59.000Z

451

Modeling Web Maintenance Centers Through Queue Models M. Di Penta  

E-Print Network [OSTI]

Modeling Web Maintenance Centers Through Queue Models M. Di Penta , G. Casazza ¡ , G. Antoniol´eal Abstract The Internet and WEB pervasiveness are changing the landscape of several different areas ranging from infor- mation gathering/managing and commerce to software development, maintenance and evolution

Di Penta, Massimiliano

452

Using FMEA models and ontologies to build diagnostic models  

Science Journals Connector (OSTI)

Product design and diagnosis are, today, worlds apart. Despite strong areas of overlap at the ontological level, traditional design process theory and practice does not recognize diagnosis as a part of the modeling process chain; neither do diagnosis ... Keywords: Bayesian Belief Networks, Design FMEA, Design-Diagnosis Integration, Diagnostic Modeling, Knowledge Engineering Framework, Ontologies

Burton H. Lee

2001-09-01T23:59:59.000Z

453

TTI model: model extracting individual's curiosity level in urban spaces  

Science Journals Connector (OSTI)

Recommendation systems have become widespread, however these systems only determine information inputted from the customers through a browser, and cannot be used when actually moving around outside. This paper presents TTI Model, a model extracting individual's ... Keywords: Bayesian Networks, curiosity, urban experience, user analysis

Chihiro Sato; Shigeyuki Takeuchi; Takuo Imbe; Shuichi Ishibashi; Masahiko ?nami; Masa Inakage; Naohito Okude

2010-08-01T23:59:59.000Z

454

Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS)  

E-Print Network [OSTI]

111 Modeling of Organizational Violence Violent Intent Modeling and Simulation (VIMS) Georgiy Bobashev, Burton Levine, Joe Eyerman, Michael Schwerin, and Richard Legault November 04, 2010 #12;2 VIMS Background #12;3 VIMS: Background · R&D sponsored by Human Factors Division at DHS S&T · Initial work

McShea, Daniel W.

455

Model-Based Testing : The Test of Formal Models  

E-Print Network [OSTI]

Model-Based Testing : The Test of Formal Models Jan Tretmans ESI & Radboud University Nijmegen #12;2 Testing (Software) Testing: checking or measuring some quality characteristics of an executing object by performing experiments in a controlled way w.r.t. a specification tester specification SUT System Under Test

456

Reduced-order residential home modeling for model predictive control  

Science Journals Connector (OSTI)

Abstract Building simulation software packages such as EnergyPlus are useful energy modeling tools. These software packages, however, are often not amenable to model-based control due to model complexity or difficulties connecting control algorithms with the software. We present a method for automatically generating input/output data from an EnergyPlus residential home model using the OpenStudio software suite. These input/output data are used to create a simple reduced-order model that can be evaluated in fractions of a second. The reduced-order model is implemented in a model predictive controller to minimize the home's electricity costs during summer months in Austin, Texas, USA. The controller optimally precools the home in the morning and turns down or off the air conditioning system in the afternoon. For this example, electricity prices were taken from actual market prices in the Austin area. The optimal precooling strategy given by the model predictive controller reduces peak energy consumption from the air conditioning unit by an average of 70% and reduces operating costs by 60%. Precooling, however, consumes more total energy versus not precooling. Reducing peak energy consumption by 1kWh results, on average, in an increase of 0.63kWh in overall energy consumption.

Wesley J. Cole; Kody M. Powell; Elaine T. Hale; Thomas F. Edgar

2014-01-01T23:59:59.000Z

457

A feature model of coupling technologies for Earth System Models  

Science Journals Connector (OSTI)

Couplers that link together two or more numerical simulations are well-known abstractions in the Earth System Modeling (ESM) community. In the past decade, reusable software assets have emerged to facilitate scientists in implementing couplers. While ... Keywords: Climate model, Code generation, Coupler, Feature analysis, Software architecture

Rocky Dunlap; Spencer Rugaber; Leo Mark

2013-04-01T23:59:59.000Z

458

Chapter 1: Operating System Models 1 Operating System Models  

E-Print Network [OSTI]

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

Melbourne, University of

459

Reduced-Order Model Design for Nonlinear Smart System Models  

E-Print Network [OSTI]

nonlinear smart material system models can yield full-order numerical models that accurately characterize: Smart materials, proper orthogonal decomposition 1. Introduction Proper Orthogonal Decomposition (POD those seeking to implement real-time control on smart material structures (see [1] and the references

460

Modeling and optimization of building HVAC systems.  

E-Print Network [OSTI]

??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based (more)

Jin, Guang Yu.

2012-01-01T23:59:59.000Z

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


461

Better Buildings Neighborhood Program: Business Model Resources  

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

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

462

Models of Superoxide Dismutases  

SciTech Connect (OSTI)

In this review we have focused much of our discussion on the mechanistic details of how the native enzymes function and how mechanistic developments/insights with synthetic small molecule complexes possessing SOD activity have influenced our understanding of the electron transfer processes involved with the natural enzymes. A few overriding themes have emerged. Clearly, the SOD enzymes operate at near diffusion controlled rates and to achieve such catalytic turnover activity, several important physical principles must be operative. Such fast electron transfer processes requires a role for protons; i.e., proton-coupled electron transfer (''H-atom transfer'') solves the dilemma of charge separation developing in the transition state for the electron transfer step. Additionally, outer-sphere electron transfer is likely a most important pathway for manganese and iron dismutases. This situation arises because the ligand exchange rates on these two ions in water never exceed {approx}10{sup +7} s{sup -1}; consequently, 10{sup +9} catalytic rates require more subtle mechanistic insights. In contrast, copper complexes can achieve diffusion controlled (>10{sup +9}) exchange rates in water; thus inner-sphere electron transfer processes are more likely to be operative in the Cu/Zn enzymes. Recent studies have continued to expand our understanding of the mechanism of action of this most important class of redox active enzymes, the superoxide dismutases, which have been critical in the successful adaptation of life on this planet to an oxygen-based metabolism. The design of SOD mimic drugs, synthetic models compounds that incorporate this superoxide dismutase catalytic activity and are capable of functioning in vivo, offers clear potential benefits in the control of diseases, ranging from the control of neurodegenerative conditions, such as Parkinson's or Alzheimer's disease, to cancer.

Cabelli, Diane E.; Riley, Dennis; Rodriguez, Jorge A.; Valentine, Joan Selverstone; Zhu, Haining

1998-05-20T23:59:59.000Z

463

Object-Oriented Modeling --1 2004 John Mylopoulos Conceptual Modeling CSC2507  

E-Print Network [OSTI]

Object-Oriented Modeling -- 1 2004 John Mylopoulos Conceptual Modeling CSC2507 Object-Oriented ModelingV. Object-Oriented Modeling Object-Oriented Modeling -- 2 2004 John Mylopoulos Conceptual Modeling and implementations. #12;Object-Oriented Modeling -- 3 2004 John Mylopoulos Conceptual Modeling CSC2507 Basic Concepts

Mylopoulos, John

464

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

465

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

2 2 The commercial module forecasts consumption by fuel 13 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 14 for eleven building categories 15 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

466

Energy Information Administration (EIA) - Annual Energy Outlook with  

Gasoline and Diesel Fuel Update (EIA)

2006 with Projections to 2030 2006 with Projections to 2030 Annual Energy Outlook 2006 with Projections to 2030 The Annual Energy Outlook 2006 presents a forecast and analysis of US energy supply, demand, and prices through 2030. The projections are based on results from the Energy Information Administration's National Energy Modeling System. The AEO2006 includes the reference case, additional cases examining energy markets, and complete documentation. Forecast Data Tables Reference Case Tables (links to individual excel and PDF files) High Macroeconomic Growth Case Tables (links to individual excel files) Low Macroeconomic Growth Case Tables (links to individual excel files) High Price Case Tables (links to individual excel files) Low Price Case Tables (links to individual excel files)

467

Application of reservoir models to Cherokee Reservoir  

SciTech Connect (OSTI)

As a part of the Cherokee Reservoir Project hydrodynamic-temperature models and water quality models hav

Kim, B.R.; Bruggink, D.J.

1982-01-01T23:59:59.000Z

468

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-Print Network [OSTI]

BPA), the basic requirements for an improved load model were determined. These requirements included modeling the substation

Lesieutre, Bernard

2013-01-01T23:59:59.000Z

469

Development of a Dynamic DOE Calibration Model  

Broader source: Energy.gov [DOE]

A dynamic heavy duty diesel engine model was developed. The model can be applied for calibration and control system optimization.

470

Accelerating Energy Savings Performance Contracting Through Model...  

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

Accelerating Energy Savings Performance Contracting Through Model Statewide Programs Accelerating Energy Savings Performance Contracting Through Model Statewide Programs Provides...

471

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...

472

GLOBAL COMPREHENSIVE MODELS IN POLITICS AND POLICYMAKING  

E-Print Network [OSTI]

. In this editorial, I reflect on the role of comprehensive models, such as IAMs and earth system models (ESMs

Edwards, Paul N.

473

Multipole Expansion Model in Gravitational Lensing  

E-Print Network [OSTI]

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.

T. Fukuyama; Y. Kakigi; T. Okamura

1997-01-31T23:59:59.000Z

474

A benchmark diagnostic model generation system  

Science Journals Connector (OSTI)

It is critical to use automated generators for synthetic models and data given the sparsity of benchmark models for empirical analysis and the cost of generating models by hand. We describe an automated generator for benchmark models that is based on ... Keywords: benchmark model generation, compositional modeling, diagnosis

Jun Wang; Gregory Provan

2010-05-01T23:59:59.000Z

475

Annual Report: 0232198 Page 1 of 4  

E-Print Network [OSTI]

modeling, atmospheric science, hydrology, and computer modeling. The graduate student contributed a poster Activities and Findings Research and Education Activities: (See PDF version submitted by PI at the end) at the Geophysical Institute (GI) and College of Natural Science, and Mathematics (CNSM), University Alaska Fairbanks

Moelders, Nicole

476

Psychological Models of Causal Inference  

E-Print Network [OSTI]

Psychological Models of Causal Inference #12;Paradigmatic Experiment · A set of binary potential causes: C1, ..., Cn · A known binary effect: E ­ This distinction is given to the participant ­ Cover · Model people as using a causal Bayes net structure learning algorithm, even though they might actually

Spirtes, Peter

477

A holographic charged preon model  

E-Print Network [OSTI]

The Standard Model (SM) is a successful approach to particle physics calculations. However, there are indications that the SM is only a good approximation to an underlying non-local reality involving fundamental entities (preons) that are not point particles. Furthermore, our universe seems to be dominated by a vacuum energy/cosmological constant. The holographic principle then indicates only a finite number of bits of information will ever be available to describe the observable universe, and that requires a holographic preon model linking the (0,1) holographic bits to SM particles. All SM particles have charges 0, 1/3, 2/3 or 1 in units of the electron charge, so the bits in a holographic preon model must be identified with fractional electric charge. Such holographic charged preon models require baryon asymmetry and also suggest a mechanism for stationary action. This paper outlines a holographic charged preon model where preons are strands with finite energy density specified by bits of information identifying the charge on each end. In the model, SM particles consist of three strands with spin states corresponding to wrapped states of the strands. SM particles in this wrapped preon model can be approximated by preon bound states in non-local dynamics based on three-preon Bethe-Salpeter equations with instantaneous three-preon interactions. The model can be falsified by data from the Large Hadron Collider because it generates baryon asymmetry without axions, and does not allow more than three generations of SM fermions.

T. R. Mongan

2013-04-20T23:59:59.000Z

478

Structure beyond the Standard Model  

Science Journals Connector (OSTI)

...see Ross (1997) for a review and further references...superpartners of the Standard Model states. These...factorizable metric M2 Plan ck;4 = M2+ Plan ck;4+ nR and, provided...Structure beyond the Standard Model 415 10 100 10003...

2001-01-01T23:59:59.000Z

479

Advanced Review Mathematical models of  

E-Print Network [OSTI]

Advanced Review Mathematical models of morphogen gradients and their effects on gene expression within the framework of thermodynamic site occupancy models of gene regulatory regions. © 2012 Wiley of both inductive and self- organized mechanisms. For instance, the overall plan of our hand depends

Shvartsman, Stanislav "Stas"

480

Computer aided nuclear reactor modeling  

E-Print Network [OSTI]

Nuclear reactor modeling is an important activity that lets us analyze existing as well as proposed systems for safety, correct operation, etc. The quality of a analysis is directly proportional to the quality of the model used. In this work we look...

Warraich, Khalid Sarwar

2012-06-07T23:59:59.000Z

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


481

Acoustic Energy and Stellar Models  

Science Journals Connector (OSTI)

... the thermodynamic limitations of the generation of acoustic energy in stars. Quite recently, M. Schwarzschild and R. S. Richardson suggested that the transfer of energy in stars may, ... a heat engine, and this consideration does not support the views expressed by Richardson and Schwarzschild in dealing with the stellar model of red giants. In this model they suggest ...

1949-08-20T23:59:59.000Z

482

Solving PDE Models in Modelica  

Science Journals Connector (OSTI)

Modelica is a new object-oriented multi-domain modeling and simulation language and used for solving large, complex, and heterogeneous physical systems with differential-algebraic equations (DAEs). Presently there is no simulation support available in ... Keywords: Modelica, PDE Problems, Method of Lines, Modeling and simulation

Zhihua Li; Ling Zheng; Huili Zhang

2008-12-01T23:59:59.000Z

483

Consumer Vehicle Choice Model Documentation  

SciTech Connect (OSTI)

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.

Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL

2012-08-01T23:59:59.000Z

484

Biomechanics and Modeling in Mechanobiology  

E-Print Network [OSTI]

PAPER Mechanics of blast loading on the head models in the study of traumatic brain injury using.1007/s10237-012-0421-8 Mechanics of blast loading on the head models in the study of traumatic brain. To understand the interactions of blast waves on the head and brain and to identify the mech- anisms of injury

Farritor, Shane

485

Cosmological models with variable constants  

E-Print Network [OSTI]

The behavior of the constants, G,c,h,a,e,m and Lambda, considering them as variable, in the framework of a flat cosmological model with FRW symmetries described by a bulk viscous fluid and considering mechanisms of adiabatic matter creation are investigated. Within two models; one with radiation predominance and another of matter predominance, this behavior are studied.

J. A. Belinchon

1999-07-01T23:59:59.000Z

486

Logistic Model Trees + Niels Landwehr  

E-Print Network [OSTI]

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

Frank, Eibe

487

Logistic Model Trees Niels Landwehr  

E-Print Network [OSTI]

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

Frank, Eibe

488

Autotune E+ Building Energy Models  

SciTech Connect (OSTI)

This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

2012-01-01T23:59:59.000Z

489

4, 1367, 2007 Modelling carbon  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

490

Safety relief valve sizing: comparison of two-phase flow models to empirical data  

E-Print Network [OSTI]

~ TPHEM, Kf=4tUD 0. 4 0. 3 Q g j 0. 2 -0. 003 -0. 002 -0. 001 0. 000 0. 001 0. 002 0. 003 0. 004 0. 005 Xo Figure 3: Sozzi and Sutherland Nozzle ?2, L = 12. 5 in 0. 8 0. 7 tt Data a HNE, Kf=4fUD 0. 6 e TPHEM Pipe e=0. 0004 ~M 0. 5 ~ TPHEM, Kf... 'ID gi ~ ~ E ~ 0. 2 -0. 005 -0. 004 -0. 003 -0. 002 -0. 001 0. 000 0. 001 0. 002 0. 003 0. 004 0. 005 Xo Figure 5: Sozzi and Sutherland Nozzle ?2, L = 20. 0 in 0. 8 0. 7 ~ HNE, Kf=afUD 0. 6 ~M0. 5 0. 4 'a D D ~ cpa D e TPHEM Rpe e=0...

Meiller, Paul Robert

2013-02-22T23:59:59.000Z

491

Current Toolbox Models: MACCS2  

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

Toolbox Models: MACCS2 Toolbox Models: MACCS2 Nate Bixler Sandia National Laboratories P. O. Box 5800 Albuquerque, New Mexico, 87185-0748 Presented at the DOE Workshop to Discuss Issues Regarding Deposition Velocity and MACCS2 June 5-6, 2012 DOE, Germantown, Maryland Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000. Contents Phenomenological models in MACCS2 Newer versions of MACCS2 (2.5 and 2.6) How MACCS2 Calculates c/Q Parameters and Their Conservatism Modeling Uncertainties Phenomenological Models: ATMOS Source term Assumed to be known (e.g., predicted by MELCOR) Weather data Usually represent one or more years of

492

Nuclear models relevant to evaluation  

SciTech Connect (OSTI)

The widespread use of nuclear models continues in the creation of data evaluations. The reasons include extension of data evaluations to higher energies, creation of data libraries for isotopic components of natural materials, and production of evaluations for radiative target species. In these cases, experimental data are often sparse or nonexistent. As this trend continues, the nuclear models employed in evaluation work move towards more microscopically-based theoretical methods, prompted in part by the availability of increasingly powerful computational resources. Advances in nuclear models applicable to evaluation will be reviewed. These include advances in optical model theory, microscopic and phenomenological state and level density theory, unified models that consistently describe both equilibrium and nonequilibrium reaction mechanism, and improved methodologies for calculation of prompt radiation from fission. 84 refs., 8 figs.

Arthur, E.D.; Chadwick, M.B.; Hale, G.M.; Young, P.G.

1991-01-01T23:59:59.000Z

493

NETL: Predictive Modeling and Evaluation - TVA Model Comparison  

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

Ozone/PM2.5 Formation & Transport Model Comparison Ozone/PM2.5 Formation & Transport Model Comparison Future regulatory actions for mitigating PM2.5 concentrations will rely, to some extent, on results from large-scale atmospheric models. The most efficient approach to evaluating regulatory actions is to use an integrated approach that examines multiple air quality impacts simultaneously. This is because of the strong linkage between PM2.5 levels, visibility degradation, ozone and acidic deposition. Thus, regional modeling of the impacts on PM2.5 levels from proposed emission reductions should be evaluated in terms of computed impacts not only on PM2.5 levels, but on ozone and acidic deposition as well. TVA is an active participant in the only ongoing assessment of this type, which is being done for the Southern Appalachian Mountains Initiative (SAMI) as part of its integrated assessment in the southeastern United States. SAMI, with its focus on protecting PSD Class I areas, is using a model called URM that can examine all the aforementioned phenomena at once. In addition, URM has the capability, which SAMI intends to use, of efficiently examining the sensitivity of model outputs to changes in emissions across the entire modeling domain. Finally, SAMI will use URM to test various emission management options (EMOs) for mitigating impacts in the southern Appalachians. These EMOs will include controls on various source sectors, including energy.

494

Tensile Fracture of Welded Polymer Interfaces: Miscibility, Entanglements and Crazing  

E-Print Network [OSTI]

Large-scale molecular simulations are performed to investigate tensile failure of polymer interfaces as a function of welding time $t$. Changes in the tensile stress, mode of failure and interfacial fracture energy $G_I$ are correlated to changes in the interfacial entanglements as determined from Primitive Path Analysis. Bulk polymers fail through craze formation, followed by craze breakdown through chain scission. At small $t$ welded interfaces are not strong enough to support craze formation and fail at small strains through chain pullout at the interface. Once chains have formed an average of about one entanglement across the interface, a stable craze is formed throughout the sample. The failure stress of the craze rises with welding time and the mode of craze breakdown changes from chain pullout to chain scission as the interface approaches bulk strength. The interfacial fracture energy $G_I$ is calculated by coupling the simulation results to a continuum fracture mechanics model. As in experiment, $G_I$ increases as $t^{1/2}$ before saturating at the average bulk fracture energy $G_b$. As in previous simulations of shear strength, saturation coincides with the recovery of the bulk entanglement density. Before saturation, $G_I$ is proportional to the areal density of interfacial entanglements. Immiscibiltiy limits interdiffusion and thus suppresses entanglements at the interface. Even small degrees of immisciblity reduce interfacial entanglements enough that failure occurs by chain pullout and $G_I \\ll G_b$.

Ting Ge; Gary S. Grest; Mark O. Robbins

2014-10-07T23:59:59.000Z

495

EIA model documentation: Petroleum Market Model of the National Energy Modeling System  

SciTech Connect (OSTI)

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.

NONE

1994-12-30T23:59:59.000Z

496

A Model-Driven Engineering Framework for Component Models Interoperability  

Science Journals Connector (OSTI)

A multitude of component models exist today, characterized by slightly different conceptual architectural elements, focusing on a specific operational domain, covering different phases of component life-cycle, or supporting analysis of different quality ...

Ivica Crnkovi?; Ivano Malavolta; Henry Muccini

2009-06-01T23:59:59.000Z

497

Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies  

E-Print Network [OSTI]

The heterogeneity implicit in much of social science research can be accommodated by using complex modeling procedures such as SEM or MLM. Ignoring heterogeneity, particularly with regard to nested data structures, can have serious consequences...

Fall, Emily C.

2011-12-31T23:59:59.000Z

498

An approximate internal model principle: Applications to nonlinear models of  

E-Print Network [OSTI]

that the system has an internal model in the feedback loop. In this paper we relax the requirement is to achieve adaptation include blood calcium regulation (El-Samad et al. 2002), neuronal control

Sontag, Eduardo

499

System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report  

SciTech Connect (OSTI)

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.

Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.

2013-12-01T23:59:59.000Z

500

Modeling reaction time within a traffic simulation model  

E-Print Network [OSTI]

Human reaction time has a substantial effect on modeling of human behavior at a microscopic level. Drivers and pedestrian do not react to an event instantaneously; rather, they take time to perceive the event, process the ...

Basak, Kakali