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1

Model Documentation Report: Macroeconomic Activity Module (MAM ...  

U.S. Energy Information Administration (EIA)

Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System April 2013 Independent Statistics & ...

2

World Energy Projection System Plus Model Documentation: Macroeconomic Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Macroeconomic Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

3

The National Energy Modeling System: An Overview 1998 - Macroeconomic...  

Gasoline and Diesel Fuel Update (EIA)

of the Underlying Core Models Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where...

4

Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts  

Reports and Publications (EIA)

The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

Information Center

2010-06-01T23:59:59.000Z

5

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.

6

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:

7

Macroeconomic Activity Module (Mam) 1998 (Kernel Regression), Model Documentation  

Reports and Publications (EIA)

The Macroeconomic Activity Module (MAM) serves two functions within the National Energy Modeling System (NEMS). First, it provides consistent sets of baselines macroeconomic variables (GDP and components, aggregate prices, interest rates, industrial output, housing starts, commercial floorspace, newcar sales, etc.) which are used by the supply, demand and conversion modules in reaching an energy market equilibrium. Second, it is designed to provide a feedback mechanism that alters the baseline variables during the course of an integrated NEMS run.

Ron Earley

1998-10-01T23:59:59.000Z

8

Model Documentation Report: Macroeconomic Activity Module (MAM) of ...  

U.S. Energy Information Administration (EIA)

3. IHS Global Insight’s Industrial Output and Employment by Industry Models Industrial Output Model Overview ...

9

Oil price shocks: Testing a macroeconomic model  

SciTech Connect

The main research objective was to answer the following question: Will Consumer Price Index forecast models utilizing computer oil-consumption ratios have better predictive capability as indicated by lower numerical differences from actual results than a model utilizing oil prices as the energy-related variable Multiple linear regressions were run on the components of the United States CPI to reduce them to a kernel set with meaningful predictive capability. New linear regressions were run with this kernel set and crude oil prices during the 1973 to 1984 time period. Crude oil prices were rationalized with a 1972 = 100 based index of GNP base petroleum consumption, the index of net energy imports, and the index of petroleum imports to create new oil substitute constructs to be used in multiple regressions with the CPI. Predictions obtained from the model were compared with actual results in the 1985-1987 time period to determine which model version showed the greatest predictive power. Results of the model tests show that oil prices are strongly related to the CPI, but neither the use of oil prices or the index of GNP-based petroleum consumption produced results that closely predict future prices.

Williams, D.D.

1988-01-01T23:59:59.000Z

10

Heterogeneous Enterprises in a Macroeconomic Agent-Based Model  

E-Print Network (OSTI)

We present a macroeconomic agent-based model that combines several mechanisms operating at the same timescale, while remaining mathematically tractable. It comprises enterprises and workers who compete in a job market and a commodity goods market. The model is stock-flow consistent; a bank lends money charging interest rates, and keeps track of equities. Important features of the model are heterogeneity of enterprises, existence of bankruptcies and creation of new enterprises, as well as productivity increase. The model's evolution reproduces empirically found regularities for firm size and growth rate distributions. It combines probabilistic elements and deterministic dynamics, with relative weights that may be modified according to the considered problem or the belief of the modeler. We discuss statistical regularities on enterprises, the origin and the amplitude of endogeneous fluctuations of the system's steady state, as well as the role of the interest rate and the credit volume. We also summarize obtain...

Metzig, Cornelia

2012-01-01T23:59:59.000Z

11

Modeling for Insights  

Science Conference Proceedings (OSTI)

System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.

Jacob J. Jacobson; Gretchen Matthern

2007-04-01T23:59:59.000Z

12

Model Documentation Report: Macroeconomic Activity Module (MAM) of ...  

U.S. Energy Information Administration (EIA)

facilitates continuity in model development by providing documentation from which energy analysts can ... Business spending includes nine fixed investment categories for

13

A New Comparative Approach to Macroeconomic Modeling and Policy Analysis  

E-Print Network (OSTI)

such as output, inflation and nominal interest rates. Models should also be able to provide answers to typical such as a central bank. We do not need to throw out our DSGE and asset-pricing models: rather we need to develop titled "Reflections on the nature of monetary policy non-standard measures and finance theory" by Jean

Tesfatsion, Leigh

14

AGENTBASED KEYNESIAN MACROECONOMICS AN EVOLUTIONARY MODEL EMBEDDED IN AN  

E-Print Network (OSTI)

households' interest­bearing financial assets and nominal interest rates; Germany, data from 1951 to 1998 Building Blocks . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.1.2 Objectives to the present model . . . . . . . . 76 2.2 Empirical results of the influence of both income growth rates

Tesfatsion, Leigh

15

Macroeconomic Activity Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2013 (AEO2013). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

2013-04-10T23:59:59.000Z

16

Estimating macroeconomic effects of proposed safety and environmental regulations using the new DRI annual model of the US economy  

SciTech Connect

The long-run macroeconomic effects of proposed environmental and safety regulations are analyzed by use of DRI's (Data Resources, Inc.) new annual model of the US economy. This annual model has fewer variables than the DRI quarterly US economy model. Many short-run cyclical factors have been condensed while long-run supply factors have been enhanced. The model was used to estimate the macroeconomic effects of proposed simultaneous application of (1) new safety regulations regarding air bags or automatic seat belts on cars in 1984 and thereafter, and (2) tight acid-rain environmental regulations for coal-using electric utilities and industry. The effects of the regulations while favorable in the short run, were found to be quite adverse over the long run. Regulatory effects were further analyzed under the assumption that the initial application of regulations was accompanied by a shock in world oil prices (similar to situations in the 1970s when regulatory costs rose simultaneously with the two major energy price shocks). However, a synergistic effect between the shock and new regulation cost was not found.

Teotia, A.P.; Santini, D.J.; Caton, C.

1983-01-01T23:59:59.000Z

17

Macroeconomic Activity Module  

Annual Energy Outlook 2012 (EIA)

d022412A. U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 18 Macroeconomic Activity Module To reflect uncertainty in the projection of...

18

Essays on finance, learning, and macroeconomics  

E-Print Network (OSTI)

This thesis consists of four essays on finance, learning, and macroeconomics. The first essay studies whether learning can explain why the standard consumption-based asset pricing model produces large pricing errors for ...

Doyle, Joseph Buchman, Jr

2012-01-01T23:59:59.000Z

19

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

20

Essays in macroeconomics  

E-Print Network (OSTI)

This thesis examines questions in macroeconomics motivated by the 2007-2008 financial crisis and its aftermath. Chapter 1 studies the impact of a housing bust on regional labor reallocation and the labor market. I document ...

Nenov, Plamen T. (Plamen Toshkov)

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

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).

22

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).

23

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).

24

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).

25

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.

26

Multimodal Transport Modeling for Nairobi, Kenya: Insights and Recommendations with an Evidence-Based Model  

E-Print Network (OSTI)

An approach for Nairobi, Kenya. Working Paper UCB-ITS-VWP-Modeling for Nairobi, Kenya: Insights and RecommendationsModeling for Nairobi, Kenya: Insights and Recommendations

Gonzales, Eric J.; Chavis, Celeste; Li, Yuwei; Daganzo, Carlos F.

2009-01-01T23:59:59.000Z

27

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).

28

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

29

Assumptions to the Annual Energy Outlook - Macroeconomic Activity...  

Annual Energy Outlook 2012 (EIA)

Macroeconomic Activity Module Assumption to the Annual Energy Outlook Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the...

30

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

31

Optimal Deterministic and Stochastic Macroeconomic Policies for Slovenia: An Application of the OPTCON Algorithm  

Science Conference Proceedings (OSTI)

This paper reports about applications of optimal control theory to the analysis of macroeconomic policies for Slovenia during its way into the Euro Area. For this purpose, the model SLOPOL4, a macroeconometric model for Slovenia, is used. Optimal policies ... Keywords: C5, E5, E6, Econometric model, Macroeconomic policy, O5, Optimal control, Sensitivity analysis, Slovenia, Stochastic control

Reinhard Neck; Gottfried Haber; Klaus Weyerstrass

2010-06-01T23:59:59.000Z

32

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

33

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

This dissertation consists of three essays. Chapter II uses the method of structural factor analysis to study the effects of monetary policy on key macroeconomic variables in a data rich environment. I propose two structural factor models. One is the structural factor augmented vector autoregressive (SFAVAR) model and the other is the structural factor vector autoregressive (SFVAR) model. Compared to the traditional vector autogression (VAR) model, both models incorporate far more information from hundreds of data series, series that can be and are monitored by the Central Bank. Moreover, the factors used are structurally meaningful, a feature that adds to the understanding of the �black box� of the monetary transmission mechanism. Both models generate qualitatively reasonable impulse response functions. Using the SFVAR model, both the �price puzzle� and the �liquidity puzzle� are eliminated. Chapter III employs the method of structural factor analysis to conduct a forecasting exercise in a data rich environment. I simulate out-of-sample real time forecasting using a structural dynamic factor forecasting model and its variations. I use several structural factors to summarize the information from a large set of candidate explanatory variables. Compared to Stock and Watson (2002)�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 forecasting models compared to alternatives that include univariate autoregression (AR) model, the VAR model and Stock and Watson�s (2002) models, especially when forecasting real variables. In chapter IV, we measure U.S. technology shocks by implementing a dual approach, which is based on more reliable price data instead of aggregate quantity data. By doing so, we find the relative volatility of technology shocks and the correlation between output fluctuation and technology shocks to be much smaller than those revealed in most real-business-cycle (RBC) studies. Our results support the findings of Burnside, Eichenbaum and Rebelo (1996), who showed that the correlation between technology shocks and output is exaggerated in the RBC literature. This suggests that one should examine other sources of fluctuations for a better understanding of the business cycle phenomena.

Liu, Dandan

2005-08-01T23:59:59.000Z

34

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

35

Rethinking hydrogen fueling insights from delivery modeling.  

SciTech Connect

Over the past century gasoline fueling has evolved from being performed by a variety of informal, diverse methods to being performed through the use of a standardized, highly automated system that exploits the fuel's benefits and mitigates its hazards. Any effort to transition to another fuel with different properties--with both advantages and disadvantages--must make similar adjustments. This paper discusses the existing gasoline refueling infrastructure and its evolution. It then describes the hydrogen delivery scenario analysis model, an Excel-based tool that calculates the levelized cost of delivering hydrogen from a central production facility to a vehicle by the use of currently available technologies and a typical profile of vehicle use and fueling demand. The results are shown for a status quo, or gasoline-centric case, in which demand reflects the current gasoline-based system and supply responds accordingly, and a hydrogen-centric case, in which some of those patterns are altered. The paper highlights fueling requirements that are particularly problematic for hydrogen and concludes with a discussion of alternative fueling paradigms.

Mintz, M.; Elgowainy, A.; Gardiner, M.; Energy Systems; U. S. DOE

2009-01-01T23:59:59.000Z

36

Essays in macroeconomics  

E-Print Network (OSTI)

This dissertation consists of three essays. The first one studies the effect of labor policy, in particular of firing costs, on financially restricted firms. It proposes and models an effect of firing costs that has not ...

Bennett, Herman Z

2006-01-01T23:59:59.000Z

37

International Macroeconomic Data Set | Data.gov  

NLE Websites -- All DOE Office Websites (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.

38

Model year 2010 Honda insight level-1 testing report.  

DOE Green Energy (OSTI)

As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Honda Insight was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of vehicle-level testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network information, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were tested. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D3). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from an exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and CAN bus data such as engine speed, engine load, and electric machine operation when available. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Insight and provide insight into unique features of its operation and design.

Rask, E.; Bocci, D.; Duoba, M.; Lohse-Busch, H. (Energy Systems)

2011-03-22T23:59:59.000Z

39

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) .............

40

Model year 2010 Honda insight level-1 testing report.  

SciTech Connect

As a part of the US Department of Energy's Advanced Vehicle Testing Activity (AVTA), a model year 2010 Honda Insight was procured by eTec (Phoenix, AZ) and sent to ANL's Advanced Powertrain Research Facility for the purposes of vehicle-level testing in support of the Advanced Vehicle Testing Activity (AVTA). Data was acquired during testing using non-intrusive sensors, vehicle network information, and facilities equipment (emissions and dynamometer data). Standard drive cycles, performance cycles, steady-state cycles and A/C usage cycles were tested. Much of this data is openly available for download in ANL's Downloadable Dynamometer Database (D3). The major results are shown here in this report. Given the preliminary nature of this assessment, the majority of the testing was done over standard regulatory cycles and seeks to obtain a general overview of how the vehicle performs. These cycles include the US FTP cycle (Urban) and Highway Fuel Economy Test cycle as well as the US06, a more aggressive supplemental regulatory cycle. Data collection for this testing was kept at a fairly high level and includes emissions and fuel measurements from an exhaust emissions bench, high-voltage and accessory current and voltage from a DC power analyzer, and CAN bus data such as engine speed, engine load, and electric machine operation when available. The following sections will seek to explain some of the basic operating characteristics of the MY2010 Insight and provide insight into unique features of its operation and design.

Rask, E.; Bocci, D.; Duoba, M.; Lohse-Busch, H. (Energy Systems)

2011-03-22T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Essays in macroeconomics : liquidity and taxation  

E-Print Network (OSTI)

This thesis consists of three independent chapters on the Macroeconomics of Liquidity and Taxation. The first chapter studies how concerns about future funding difficulties and liquidity dry ups influence investment ...

Iachan, Felipe Saraiva

2012-01-01T23:59:59.000Z

42

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

43

Modelling the global distribution of fungal species: new insights into microbial cosmopolitanism  

E-Print Network (OSTI)

Modelling the global distribution of fungal species: new insights into microbial cosmopolitanism cosmopolitan distributions. However, for estimating the global distributions of microorganisms, discriminating

Bruns, Tom

44

Essays in International Macroeconomics and Forecasting  

E-Print Network (OSTI)

This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks, is capable of explaining the highly positive correlation across the industrialized countries' inflation even though their cross-country correlation in money growth rate is negligible. The structure of this model generates cross-country correlations of inflation, output and consumption that appear to closely correspond to the data. Additionally, this model can explain the internal correlation between inflation and output observed in the data. The second essay presents two important results. First, gains from monetary policy cooperation are different from zero when the elasticity of substitution between domestic and imported goods consumption is different from one. Second, when monetary policy is endogenous in a two-country model, the only Nash equilibria supported by this model are those that are symmetrical. That is, all exporting firms in both countries choose to price in their own currency, or all exporting firms in both countries choose to price in the importer's currency. The last essay provides both conditional and unconditional predictive ability evaluations of the aluminum futures contracts prices, by using five different econometric models, in forecasting the aluminum spot price monthly return 3, 15, and 27-months ahead for the sample period 1989.01-2010.10. From these evaluations, the best model in forecasting the aluminum spot price monthly return 3 and 15 months ahead is followed by a (VAR) model whose variables are aluminum futures contracts price, aluminum spot price and risk free interest rate, whereas for the aluminum spot price monthly return 27 months ahead is a single equation model in which the aluminum spot price today is explained by the aluminum futures price 27 months earlier. Finally, it shows that iterated multiperiod-ahead time series forecasts have a better conditional out-of-sample forecasting performance of the aluminum spot price monthly return when an estimated (VAR) model is used as a forecasting tool.

Bejarano Rojas, Jesus Antonio

2011-08-01T23:59:59.000Z

45

The evolution of consensus in macroeconomic forecasting  

E-Print Network (OSTI)

When professional forecasters repeatedly forecast macroeconomic variables, their forecasts may converge over time towards a consensus. The evolution of consensus is analyzed with Blue Chip data under a parametric polynomial decay function that permits flexibility in the decay path. For the most part, this specification fits the data. We test whether forecast differences decay to zero at the same point in time for a panel of forecasters, and discuss possible explanations for this, along with its implications for studies using panels of forecasters.

Allan W. Gregory; James Yetman; Jel Codes C E; Robert Eggert; Fred Joutz

2004-01-01T23:59:59.000Z

46

Essays on finance and macroeconomics  

E-Print Network (OSTI)

This thesis studies the role of the financial system in the amplification and propagation of business cycles. Chapter 1 studies the origin and propagation of balance sheet recessions. I first show that in standard models ...

Di Tella, Sebastian T. (Sebastian Tariacuri)

2013-01-01T23:59:59.000Z

47

Essays in macroeconomics and finance  

E-Print Network (OSTI)

The first chapter proposes a model of booms and busts in housing and non-housing consumption driven by the interplay between relatively low interest rates and an expansion of credit, triggered by further decline in interest ...

Mohsenzadeh Kermani, Amir Reza

2013-01-01T23:59:59.000Z

48

Macroeconomic impacts of clean coal technologies and acid rain legislation: A comparative analysis  

SciTech Connect

In 1987, the National Association of Manufacturers published a study documenting the negative macroeconomic impacts that could occur if proposed acid rain legislation were passed (NAM 1987). These negative impacts would result from the substantially higher electricity rates that would be needed to finance conventional pollution-control retrofits. The US Department of Energy's Office of Fossil Energy (DOE/FE) wanted to evaluate the macroeconomic impacts of nonregulatory approaches to reduce the emissions of acid rain precursors. DOE/FE therefore directed Argonne National Laboratory (ANL) to determine the potential for clean coal technologies (CCTs) to satisfy future electric load growth and achieve greater long-term reductions in emissions at a lower cost than could be achieved through a legislative mandate. This study documents the macroeconomic impacts of CCT deployment without acid rain legislation and compares these results with the corresponding impacts of using conventional technologies and meeting mandatory emission reductions. The Argonne Utility Simulation (ARGUS) model was used to determine the least-cost solution and incremental levelized system costs* over the period 1995-2030 for three scenarios: (1) a baseline scenario, in which no acid rain controls are mandated and no CCTs are deployed; (2) an acid rain (AR) scenario, in which legislation (S. 1894, 100th Congress) is mandated but no CCTs are deployed; and (3) a CCT scenario, in which maximum CCT deployment (specifically, integrated gasification combined-cycle or IGCC technology in repowering and new or greenfield'' applications) occurs but no acid rain legislation is mandated. The Data Resources Inc. (DRI) annual macroeconomic model (which was extended from 2010 to 2030) was used to compute the macroeconomic impacts of the AR and CCT scenarios. 2 refs., 28 figs.

Edwards, B.K.; South, D.W.; Veselka, T.D. (Argonne National Lab., IL (USA). Environmental Assessment and Information Sciences Div.); Gault, N.J. (DRI/McGraw-Hill Energy Service, Lexington, MA (USA))

1989-06-01T23:59:59.000Z

49

AGENT-BASED COMPUTATIONAL MODELING AND MACROECONOMICS  

E-Print Network (OSTI)

published before and since the pair of essays in which Clio, the muse of History, was coupled that Schumpeter's gale of `creative destruction' is blowing continuously at full force, through every niche, nook

Tesfatsion, Leigh

50

Transportation technology transitions and macroeconomic growth -- Contemporary evidence  

SciTech Connect

This paper presents international and temporal extensions of evidence for a theory developed by the author concerning the interaction of transportation technology transitions and macroeconomic growth. The period 1970 to the present is examined for the nations of Japan, the US, and Europe (France, Germany, Italy and the United Kingdom collectively). An addition to the abstract logic supporting the general arguments of the theory is also presented. The theory has been developed concerning the role of significant transportation technology transitions as a cause of significant macroeconomic declines in nations for which the manufacture of transportation vehicles (ships, locomotives, and automobiles) is a dominant economic activity. The theory offers an explanation for periods of pronounced multiyear decline in economic growth rate--sometimes called depressions and sometimes called stagnations. One purpose of this paper is to explore whether or not Japan and Europe have each recently experienced a multiyear event of this type. In the theory and the evidence presented for it, environmental regulation of transportation vehicles has been shown to be an initiating cause of significant technical change, with sharp, sustained fuel price increases being a second frequent initiating cause. These causes of significant technical change, and their possible consequences, are potentially important considerations for those proposing policies to deal with global warming, since both fuel economy regulation and fuel price increases have been recommended by policy analysts as means to reduce transportation`s contribution to global warming. The theory has been offered and supported by publications developing mathematical models and examining US historical evidence consistent with the theory.

Santini, D.J.

1994-12-31T23:59:59.000Z

51

Carbon Footprint and the Management of Supply Chains: Insights from Simple Models  

E-Print Network (OSTI)

Carbon Footprint and the Management of Supply Chains: Insights from Simple Models Saif Benjaafar1, we illustrate how carbon emission concerns could be integrated into operational decision-making with regard to procurement, production, and inventory management. We show how, by associating carbon emission

Benjaafar, Saifallah

52

New insights on geomagnetic storms from observations and modeling  

SciTech Connect

Understanding the response at Earth of the Sun's varying energy output and forecasting geomagnetic activity is of central interest to space science, since intense geomagnetic storms may cause severe damages on technological systems and affect communications. Episodes of southward (Bzmodel (RAM), and investigate the mechanisms responsible for trapping particles and for causing their loss. We find that periods of increased magnetospheric convection coinciding with enhancements of plasma sheet density are needed for strong ring current buildup. During the HSS-driven storm the convection potential is highly variable and causes small sporadic injections into the ring current. The long period of enhanced convection during the CME-driven storm causes a continuous ring current injection penetrating to lower L shells and stronger ring current buildup.

Jordanova, Vania K [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

53

New insights on geomagnetic storms from observations and modeling  

Science Conference Proceedings (OSTI)

Understanding the response at Earth of the Sun's varying energy output and forecasting geomagnetic activity is of central interest to space science, since intense geomagnetic storms may cause severe damages on technological systems and affect communications. Episodes of southward (Bzgeomagnetic conditions are associated either with coronal mass ejections (CMEs) and possess long and continuous negative IMF Bz excursions, or with high speed solar wind streams (HSS) whose geoeffectiveness is due to IMF Bz profiles fluctuating about zero with various amplitudes and duration. We show examples of ring current simulations during two geomagnetic storms representative of each interplanetary condition with our kinetic ring current atmosphere interactions model (RAM), and investigate the mechanisms responsible for trapping particles and for causing their loss. We find that periods of increased magnetospheric convection coinciding with enhancements of plasma sheet density are needed for strong ring current buildup. During the HSS-driven storm the convection potential is highly variable and causes small sporadic injections into the ring current. The long period of enhanced convection during the CME-driven storm causes a continuous ring current injection penetrating to lower L shells and stronger ring current buildup.

Jordanova, Vania K [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

54

R&D Activity Investments and Macroeconomic Determinant Factors.  

E-Print Network (OSTI)

?? Investments in R&D activities are essential to firms. Decisions to increase or decrease R&D investments may rely according to changes in macroeconomic factors. The… (more)

Gardell, Pierre

2013-01-01T23:59:59.000Z

55

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.)

56

“The Long-run Macroeconomic Impacts of Fuel Subsidies in an Oil-importing Developing  

E-Print Network (OSTI)

Many developing and emerging market countries have subsidies on fuel products. Using a small open economy model with a non-traded sector I show how these subsidies impact the steady state levels of macroeconomic aggregates such as consumption, labor supply, and aggregate welfare. These subsidies can lead to crowding out of non-oil consumption, inefficient inter-sectoral allocations of labor, and other distortions in macroeconomic variables. Across steady states aggregate welfare is reduced by these subsidies. This result holds for a country with no oil production and for a net exporter of oil. The distortions in relative prices introduced by the subsidy create most of the welfare losses. How the subsidy is financed is of secondary importance. Aggregate welfare is significantly higher if the subsidies are replaced by lump-sum transfers of equal value.

Michael Plante; Michael Plante A

2013-01-01T23:59:59.000Z

57

Essays on Monetary Policy and International Macroeconomics  

E-Print Network (OSTI)

stochastic general equilibrium model with search and matching frictionsstochastic general equilibrium (DSGE) model with search and matching frictions

Mileva, Mariya

2012-01-01T23:59:59.000Z

58

Electric Dipole Polarizability in ${}^{208}$Pb: insights from the Droplet Model  

E-Print Network (OSTI)

We study the electric dipole polarizability $\\alpha_D$ in ${}^{208}$Pb based on the predictions of a large and representative set of relativistic and non-relativistic nuclear mean field models. We adopt the droplet model as a guide to better understand the correlations between $\\alpha_D$ and other isovector observables. Insights from the droplet model suggest that the product of $\\alpha_D$ and the nuclear symmetry energy at saturation density $J$ is much better correlated with the neutron skin thickness $\\Delta r_{np}$ of ${}^{208}$Pb than the polarizability alone. Correlations of $\\alpha_D J$ with $\\Delta r_{np}$ and with the symmetry energy slope parameter $L$ suggest that $\\alpha_D J$ is a strong isovector indicator. Hence, we explore the possibility of constraining the isovector sector of thenuclear energy density functional by comparing our theoretical predictions against measurements of both $\\alpha_D$ and the parity-violating asymmetry in ${}^{208}$Pb. We find that the recent experimental determination of $\\alpha_D$ in ${}^{208}$Pb in combination with the range for the symmetry energy at saturation density $J=[31\\pm (2)_{\\rm est.}]$\\,MeV suggests $\\Delta r_{np}({}^{208}{\\rm Pb}) = 0.165 \\pm (0.009)_{\\rm exp.} \\pm (0.013)_{\\rm theo.} \\pm (0.021)_{\\rm est.} {\\rm fm}$ and $L= 43 \\pm(6)_{\\rm exp.} \\pm (8)_{\\rm theo.}\\pm(12)_{\\rm est.}$ MeV.

X. Roca-Maza; M. Centelles; X. Viñas; M. Brenna; G. Colò; B. K. Agrawal; N. Paar; J. Piekarewicz; D. Vretenar

2013-07-17T23:59:59.000Z

59

Macroeconomic determinants of the stock market movements: empirical evidence from the Saudi stock market.  

E-Print Network (OSTI)

??This dissertation investigates the long run and short run relationships between Saudi stock market returns and eight macroeconomic variables. We investigate the ability of these… (more)

Alshogeathri, Mofleh Ali Mofleh

2011-01-01T23:59:59.000Z

60

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

E-Print Network (OSTI)

My dissertation studies various questions falling into the broad context of macroeconomics and international economics. The questions have macroeconomic components because they are concerned with the behavior of aggregates. Specifically, the second and third chapters of my dissertation study the causes of fluctuations in aggregate macroeconomic variables and the way policy can be coordinated internationally to reduce these fluctuations, respectively. In addition, chapters III and IV address questions that fall into the realm of international economics. They are concerned with the optimal exchange rate regime between two countries, the consequences of partial exchange rate pass-through and the effect of an increase in vertical Foreign Direct Investment (FDI) by domestic firms. The framework of my analysis is given by different versions of general equilibrium models. The second chapter of my dissertation decomposes fluctuations in aggregate observables for the UK economy during the 1980s recession. Using a modern accounting procedure, I estimate parameters that describe the economy using annual data from 1970 to 2002. Then, I simulate different versions of the model to find the distortions that are essential in driving the observed fluctuations. I 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 for partial pass-through. In particular, both countries are assumed to have monetary and fiscal stabilization instruments available. The optimal setting of these instruments under differing pass-through regimes is analytically derived. Fiscal policy is found to be used in a counter-cyclical fashion. In addition, the magnitude of fiscal stabilization is the largest when pass-through is partial. In the fourth chapter, I study the consequences of vertical FDI on aggregate productivity and welfare. The framework allows for heterogeneity across firms in two dimensions. It is firms that are at a disadvantage with respect to manufacturing costs that are benefiting most from moving their production process abroad. Overall, the ability to engage in vertical FDI increases productivity, lowers prices and thus increases welfare.

Kersting, Erasmus K.

2009-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Honda Insight Fleet and Accelerated Reliability Testing  

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

Gen II Insight HEV Accelerated Testing - August 2012 Two model year 2010 Honda Generation II Insight hybrid electric vehicles (HEVs) entered Accelerated testing during July 2009 in...

62

Macroeconomic effects of accelerated implementation of renewable energy technologies in the US  

DOE Green Energy (OSTI)

The original formulation of the Brookhaven energy system models was directed toward technology assessment for new and competing energy technologies. The Hudson-Jorgenson econometric model was originally formulated to identify the economic impacts of energy futures where energy-use projections departed markedly from historical trends. The two models were married so that the feedback effects of energy and nonenergy demand levels and nonenergy prices generated by the economic model could be reflected in the technology and fuel-mix-selection solutions of the energy model. In turn, the engineering-based energy costs, energy prices, and capital requirements for energy systems characterized in the energy model are used to override the econometric estimates based on historical data in the economic model. Recently, the coupled models have been used to address questions concerning the macroeconomic impacts of accelerating the implementation of renewable energy technologies in the United States. Of particular interest were the scenarios where (1) renewables were included which cost more than conventional alternatives now and in the future, and (2) some renewables that are initially more costly are characterized by a learning curve so that in time their costs come to equal conventional alternatives. A further analysis was done for the first case (renewables always more expensive) under conditions where (1) the incremental costs were paid by the government through deficit financing, and (2) the incremental costs were paid by consumers. This paper presents the formulation of the analysis using the combined energy system - economic model and the results of the study.

Marcuse, W; Groncki, P J

1980-02-01T23:59:59.000Z

63

Senior Vice President Enclosure document8 This page intentionally left blankMacroeconomic Impacts of LNG  

E-Print Network (OSTI)

I am transmitting with this letter a clean copy of NERA’s report on the macroeconomic impacts of LNG exports from the United States that was contracted for by the Department of Energy. Sincerely, W. David Montgomery

Www. Nera. Com; Dear Mr. Smith; Robert Baron; Nera Economic Consulting; Ha D. Tuladhar; Nera Economic Consulting

2012-01-01T23:59:59.000Z

64

Understanding Hadley Cell Expansion versus Contraction: Insights from Simplified Models and Implications for Recent Observations  

Science Conference Proceedings (OSTI)

This study seeks a deeper understanding of the causes of Hadley Cell (HC) expansion, as projected under global warming, and HC contraction, as observed under El Niño. Using an idealized general circulation model, the authors show that a thermal ...

Neil F. Tandon; Edwin P. Gerber; Adam H. Sobel; Lorenzo M. Polvani

2013-06-01T23:59:59.000Z

65

Biogeochemistry of the Amazonian Floodplains: Insights from Six End-Member Mixing Models  

Science Conference Proceedings (OSTI)

The influence of Amazonian floodplains on the hydrological, sedimentary, and biogeochemical river budget was investigated along the Vargem Grande–Óbidos reach, by applying six mixing models based on variable regional and/or variable hydrological ...

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

2010-09-01T23:59:59.000Z

66

Energy Insight | Open Energy Information  

Open Energy Info (EERE)

Energy Insight Energy Insight Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Insight Agency/Company /Organization: Tendril Connect Sector: Energy Focus Area: Energy Efficiency Resource Type: Software/modeling tools User Interface: Website Website: greenbuttonconnect.com/home Web Application Link: greenbuttonconnect.com/apps/energyinsight/? OpenEI Keyword(s): Green Button Apps Language: English Energy Insight Screenshot References: Tendril[1] Green Button Connect[2] Logo: Energy Insight An application that analyzes and presents your energy data in easy-to-understand charts. Energy Insight enables you to dynamically sort the chart data using a variety of time periods: hourly, daily, monthly. In addition to the charts, the Energy Insight application can display your

67

Multiscaling in Hall-Magnetohydrodynamic Turbulence: Insights from a Shell Model  

E-Print Network (OSTI)

We show that a shell-model version of the three-dimensional Hall-magnetohydrodynamic (3D Hall-MHD) equations provides a natural theoretical model for investigating the multiscaling behaviors of velocity and magnetic structure functions. We carry out extensive numerical studies of this shell model, obtain the scaling exponents for its structure functions, in both the low-$k$ and high-$k$ power-law ranges of 3D Hall-MHD, and find that the extended-self-similarity (ESS) procedure is helpful in extracting the multiscaling nature of structure functions in the high-$k$ regime, which otherwise appears to display simple scaling. Our results shed light on intriguing solar-wind measurements.

Debarghya Banerjee; Samriddhi Sankar Ray; Ganapati Sahoo; Rahul Pandit

2013-03-04T23:59:59.000Z

68

Ocean Heat Transport, Sea Ice, and Multiple Climate States: Insights from Energy Balance Models  

Science Conference Proceedings (OSTI)

Several extensions of energy balance models (EBMs) are explored in which (i) sea ice acts to insulate the atmosphere from the ocean and (ii) ocean heat transport is allowed to have some meridional structure controlled by the wind, with minima at ...

Brian E. J. Rose; John Marshall

2009-09-01T23:59:59.000Z

69

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

E-Print Network (OSTI)

This dissertation examines three important issues in energy markets: price dynamics, information flow, and structural change. We discuss each issue in detail, building empirical time series models, analyzing the results, and interpreting the findings. First, we examine the contemporaneous interdependencies and information flows among crude oil, natural gas, and electricity prices in the United States (US) through the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model, Directed Acyclic Graph (DAG) for contemporaneous causal structures and Bernanke factorization for price dynamic processes. Test results show that the DAG from residuals of out-of-sample-forecast is consistent with the DAG from residuals 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 indicators by using a Factor Augmented Vector Autoregression (FAVAR) model and a graphical model without any deductive assumption. The results show that, in contemporaneous time, the federal fund rate shock is exogenous as the identifying assumption in the Vector Autoregression (VAR) framework of the monetary shock transmission mechanism, whereas the WTI crude oil price return is not exogenous. Third, we examine price dynamics and contemporaneous causality among the price returns of WTI crude oil, gasoline, corn, and the S&P 500. We look for structural break points and then build an econometric model to find the consistent sub-periods having stable parameters in a given VAR framework and to explain recent movements and interdependency among returns. We found strong evidence of two structural breaks and contemporaneous causal relationships among the residuals, but also significant differences between contemporaneous causal structures for each sub-period.

Hong, Sung Wook 1977-

2012-12-01T23:59:59.000Z

70

European Macro-economic Policy and Technological Development: the case of Greece  

E-Print Network (OSTI)

Recent studies on economic and technological transformation in less developed countries emphasise that improvement of their performance in terms of competitiveness and successful integration into the world economy requires both economic stabilisation at the macroeconomic level and technological development. Greece is a typical case, which during the last twenty years has had to deal with specific imperatives: European integration, technological catch-up and macro-economic stability. These processes are envisaged under the pressure of the opening of the economy, which in principle could facilitate dissemination of new technologies on the one hand but constrain the development of national capabilities on the other. In this paper we present the specificities of the Greek productive system that have shaped its integration into the EC and attempt to link the process of European integration with its technological development. Special reference is made to the macroeconomic policy of the EU and its impact on technological transformation. 2

Ioanna Kastelli

2002-01-01T23:59:59.000Z

71

Table 9a. U.S. Macroeconomic Indicators and CO2 Emissions U.S ...  

U.S. Energy Information Administration (EIA)

1st 2nd 3rd 4th 1st 2nd 3rd 4th 1st 2nd 3rd 4th 2012 2013 2014 Macroeconomic Real Gross Domestic Product (billion chained 2005 dollars - SAAR) ..... 13,506 13,549 ...

72

Update on INSIGHTS Development  

SciTech Connect

INSIGHTS is a transformational separate effects testing capability to perform in situ irradiation studies and characterization of the microscale behavior of nuclear fuel materials under a wide variety of in-pile conditions. Separate effects testing including growth, irradiation, and monitoring of these materials, and encompasses the full science based approach for fuels development from the nanoscale to the mesoscale behavior of the sample material and other defects driven by the modeling and simulation efforts of INL.

Not Listed; Eric Burgett

2011-09-01T23:59:59.000Z

73

The macroeconomic effects of oil price shocks : why are the 2000s so different from the 1920s?  

E-Print Network (OSTI)

We characterize the macroeconomic performance of a set of industrialized economies in the aftermath of the oil price shocks of the 1970s and of the last decade, focusing on the differences across episodes. We examine four ...

Blanchard, Olivier

2007-01-01T23:59:59.000Z

74

Macroeconomic Dynamics and Credit Risk: A Global Perspective  

E-Print Network (OSTI)

(1999)). The literature on modeling LGD (sometimes called loss severity) is not nearly as rich as it is for PD. Most of the work has been strictly empirical (Altman and Kishore (1996), Gupton, Gates and Carty (2000), Van de Castle, Keisman and Yang (2000... single country or region. By estimating a cointe- grating model for each country/region separately, we are also able to allow for endow- ment and institutional heterogeneities that exist across the different countries in our modeling strategy. Accordingly...

Pesaran, M Hashem; Schuermann, Til; Treutler, Bjorn-Jakob; Weiner, Scott M

2004-06-16T23:59:59.000Z

75

Essays on the stock market's reaction to macroeconomic news  

E-Print Network (OSTI)

R. C. Green, and V. Naik, 1999, Optimal investment, growthGreen, and Naik (1999) develop a rational partial equilibrium model of individual ?rms’ investment

Cenesizoglu, Tolga

2006-01-01T23:59:59.000Z

76

Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.  

SciTech Connect

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

77

Short-Term Energy Outlook - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Macroeconomic projections are based on Global Insight Model of the U.S. Economy. Weather projections from National Oceanic and Atmospheric Administration.

78

Winter Fuels Outlook: 2004-2005 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... heating oil, propane and ... day forecasts from the National Oceanographic and ... DOE/EIA-0035. Macroeconomic projections are based on Global Insight Model of ...

79

Oil Price Shocks, Inventories, and Macroeconomic Dynamics,” mimeo  

E-Print Network (OSTI)

This paper employs disaggregated manufacturing data to investigate the causes of the time delay between an increase in oil prices and the following slowdown in economic activity. VAR results show that, unlike aggregate GDP, the effect of an oil price shock on new motor vehicles production shows up immediately and is statistically significantly. After one quarter, similar patterns are observed for industries that are oil-intensive or for which motor vehicles constitute a demand-shifter. The continuing fall in manufacturing production then leads the economy into a recession. The paper then estimates a modified linear-quadratic inventory model and shows that this description of the oil price dynamics is consistent with rational behavior by firms. An increase in oil prices leads to a decline in manufacturing sales; partly because the shock catches manufacturers by surprise and partly because of their desire to balance the accelerator and production smoothing motives, manufacturers deviate from the target level of inventories and spread the decline in production over various quarters. Moreover, the dynamics entailed by the structural estimates capture two stylized facts about inventory behavior: procyclicality and persistence.

Ana María Herrera

2008-01-01T23:59:59.000Z

80

Understanding Changes in the Asian Summer Monsoon over the Past Millennium: Insights from a Long-Term Coupled Model Simulation  

Science Conference Proceedings (OSTI)

The Asian summer monsoon (ASM) and its variability were investigated over the past millennium through the analysis of a long-term simulation of the NCAR Climate System Model, version 1.4 (CSM 1.4) coupled model driven with estimated natural and ...

Fangxing Fan; Michael E. Mann; Caspar M. Ammann

2009-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

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

Science Conference Proceedings (OSTI)

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

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

2011-01-01T23:59:59.000Z

82

Multiscale Convective Wave Disturbances in the Tropics: Insights from a Two-Dimensional Cloud-Resolving Model  

Science Conference Proceedings (OSTI)

Multiscale convective wave disturbances with structures broadly resembling observed tropical waves are found to emerge spontaneously in a nonrotating, two-dimensional cloud model forced by uniform cooling. To articulate the dynamics of these ...

Stefan N. Tulich; Brian E. Mapes

2008-01-01T23:59:59.000Z

83

Insights Into the P-To-Q Conversion in the Catalytic Cycle of Methane Monooxygenase From a Synthetic Model System  

DOE Green Energy (OSTI)

For the catalytic cycle of soluble methane monooxygenase (sMMO), it has been proposed that cleavage of the O-O bond in the ({mu}-peroxo)diiron(III) intermediate P gives rise to the diiron(IV) intermediate Q with an Fe{sub 2}({mu}-O){sub 2} diamond core, which oxidizes methane to methanol. As a model for this conversion, ({mu}-oxo) diiron(III) complex 1 ([Fe{sup III}{sub 2}({mu}-O)({mu}-O{sub 2}H{sub 3})(L){sub 2}]{sup 3+}, L = tris(3,5-dimethyl-4-methoxypyridyl-2-methyl)amine) has been treated consecutively with one eq of H{sub 2}O{sub 2} and one eq of HClO{sub 4} to form 3 ([Fe{sup IV}{sub 2}({mu}-O){sub 2}(L){sub 2}]{sup 4+}). In the course of this reaction a new species, 2, can be observed before the protonation step; 2 gives rise to a cationic peak cluster by ESI-MS at m/z 1,399, corresponding to the [Fe{sub 2}O{sub 3}L{sub 2}H](OTf){sub 2}{sup +} ion in which 1 oxygen atom derives from 1 and the other two originate from H{sub 2}O{sub 2}. Moessbauer studies of 2 reveal the presence of two distinct, exchange coupled iron(IV) centers, and EXAFS fits indicate a short Fe-O bond at 1.66 {angstrom} and an Fe-Fe distance of 3.32 {angstrom}. Taken together, the spectroscopic data point to an HO-Fe{sup IV}-O-Fe{sup IV} = O core for 2. Protonation of 2 results in the loss of H{sub 2}O and the formation of 3. Isotope labeling experiments show that the [Fe{sup IV}{sub 2}({mu}-O){sub 2}] core of 3 can incorporate both oxygen atoms from H{sub 2}O{sub 2}. The reactions described here serve as the only biomimetic precedent for the conversion of intermediates P to Q in the sMMO reaction cycle and shed light on how a peroxodiiron(III) unit can transform into an [Fe{sup IV}{sub 2}({mu}-O){sub 2}] core.

Xue, G.; Fiedler, A.T.; Martinho, M.; Munck, E.; Que, L.; Jr.

2009-05-28T23:59:59.000Z

84

ImSET 3.1: Impact of Sector Energy Technologies Model Description and User's Guide  

SciTech Connect

This 3.1 version of the Impact of Sector Energy Technologies (ImSET) model represents the next generation of the previously-built ImSET model (ImSET 2.0) that was developed in 2005 to estimate the macroeconomic impacts of energy-efficient technology in buildings. In particular, a special-purpose version of the Benchmark National Input-Output (I-O) model was designed specifically to estimate the national employment and income effects of the deployment of Office of Energy Efficiency and Renewable Energy (EERE)–developed energy-saving technologies. In comparison with the previous versions of the model, this version features the use of the U.S. Bureau of Economic Analysis 2002 national input-output table and the central processing code has been moved from the FORTRAN legacy operating environment to a modern C++ code. ImSET is also easier to use than extant macroeconomic simulation models and incorporates information developed by each of the EERE offices as part of the requirements of the Government Performance and Results Act. While it does not include the ability to model certain dynamic features of markets for labor and other factors of production featured in the more complex models, for most purposes these excluded features are not critical. The analysis is credible as long as the assumption is made that relative prices in the economy would not be substantially affected by energy efficiency investments. In most cases, the expected scale of these investments is small enough that neither labor markets nor production cost relationships should seriously affect national prices as the investments are made. The exact timing of impacts on gross product, employment, and national wage income from energy efficiency investments is not well-enough understood that much special insight can be gained from the additional dynamic sophistication of a macroeconomic simulation model. Thus, we believe that this version of ImSET is a cost-effective solution to estimating the economic impacts of the development of energy-efficient technologies.

Scott, Michael J.; Livingston, Olga V.; Balducci, Patrick J.; Roop, Joseph M.; Schultz, Robert W.

2009-05-22T23:59:59.000Z

85

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

86

Study of capital requirements for solar energy. Final report, Volume 1. Analysis of the macroeconomic effects of increased solar energy market penetration  

DOE Green Energy (OSTI)

This report defines the analytical framework for, and presents the results of, a study to determine the macroeconomic effects of increased market penetration of solar energy technologies over the 1977-2000 time period. For the purposes of this document, solar technologies are defined as wind, photovoltaics, ocean thermal electric (OTEC), small-scale (non-utility) hydroelectric and all solar active and passive thermal technologies. This research has been undertaken in support of the National Plan to Accelerate Commercialization (NPAC) of Solar Energy. The capital and operating requirements for three market penetration levels are first determined; the effects of these requirements on economic performance are then estimated using the Hudson-Jorgenson Energy/Economic Model. The analytical design, computational methods, data sources, assumptions and scenario configurations for this analysis are defined in detail. The results of the analysis of the economic impact of solar energy are presented in detail, and the implications of these results are discussed. Appendix A explains the methodology for transforming investment to capital stocks. Appendix B, which is provided in a separate volume, describes the Hudson-Jorgenson Model in greater detail. (WHK)

Pleatsikas, C.J.; Hudson, E.A.; O'Connor, D.C.; Funkhouser, D.H.

1979-07-19T23:59:59.000Z

87

Real-time spatio-temporal analytics using Microsoft StreamInsight  

Science Conference Proceedings (OSTI)

Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications that run continuous queries over high-rate streaming events. StreamInsight adopts a temporal stream model to handle imperfections in ... Keywords: SQL server, StreamInsight, analytics, complex event processing, data streaming, spatio-temporal

Mohamed Ali; Badrish Chandramouli; Balan S. Raman; Ed Katibah

2010-11-01T23:59:59.000Z

88

An extensible test framework for the Microsoft StreamInsight query processor  

Science Conference Proceedings (OSTI)

Microsoft StreamInsight (StreamInsight, for brevity) is a platform for developing and deploying streaming applications. StreamInsight adopts a deterministic stream model that leverages a temporal algebra as the underlying basis for processing ... Keywords: SQL server, StreamInsight, data streaming, testing, verification

Alex Raizman; Asvin Ananthanarayan; Anton Kirilov; Badrish Chandramouli; Mohamed Ali

2010-06-01T23:59:59.000Z

89

Evaluation of the DRI quarterly macroeconomic model's response to energy and environmental cost shocks  

Science Conference Proceedings (OSTI)

During the 1970's two major energy price shocks occurred. Each was accompanied by cost shocks for industrial environmental control technology and reductions in the rate of growth of the money supply. Each was followed by a recession. A third energy-price shock and contractions of monetary growth occurred when President Reagan took office. The present recession followed. The DRI macromodel was used to evaluate the impacts of various impacts of various environmental regulations over the 1982 to 1987 period, under different assumptions about energy-price shocks and money-supply growth. The simulation results are critically evaluated in light of the historical evidence of the 1970's.

Dossani, N.G.; Santini, D.J.

1983-05-13T23:59:59.000Z

90

Macroeconomic Models and the Yield Curve: An assessment of the Fit  

E-Print Network (OSTI)

?t+1 ?t+2 ?t+3 ?t+4 yc2,t I -0.368 -0.288 -0.249 -0.134 -0.081 II -0.378 -0.388 -0.310 -0.088 0.025 III -0.216 -0.407 -0.489 -0.125 0.090 yc5,t I -0.394 -0.348 -0.303 -0.213 -0.157 II -0.292 -0.250 -0.188 0.048 0.171 III -0.268 -0.359 -0.356 -0.065 0...

Chadha, Jagjit S; Holly, Sean

91

Macroeconomic models of consumer demand for consumer packaged goods in Asia  

E-Print Network (OSTI)

CPGCo, a global manufacturer of consumer packaged goods, has had tremendous difficulty in producing accurate forecasts for its products in developing markets. The problem was especially apparent during the global economic ...

Mau, Jonathan

2012-01-01T23:59:59.000Z

92

Global Insight Energy Group  

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

Outlook Outlook Mary Novak Managing Director IHS Global Insight Copyright © 2010 IHS Global Insight, Inc. Overview: Energy Sector Transformation Underway * The recession has hit energy demand hard, and aggregate energy demand is not expected to return to 2007 levels until 2018. * Oil and natural gas prices will both rise over the long-term, but the price trends will diverge with natural gas prices rising slowly due to the development of shale gas. * This forecast does not include a GHG cap-and-trade program. However, it is assumed that there will be continued improvement in equipment, appliance and building efficiencies that will reduce carbon emissions relative to past projections. * The forecast also includes the more than 30 state- level programs to increase efficiency and reduce

93

Modelling integrated waste management system of the Czech Republic  

Science Conference Proceedings (OSTI)

The paper is devoted to environmental modelling, particularly modelling of Integrated Municipal Solid Waste Management Systems at the Czech Republic (IMSWMS). There are considered input macroeconomic variables (landfills fees, price of electricity, tax ... Keywords: environmental modelling, integrated waste management system, municipal solid waste, waste management modelling

Jiri Hrebicek; Jana Soukopova

2010-07-01T23:59:59.000Z

94

Exascale Insights (2011) | National Nuclear Security Administration  

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

Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Media Room > Video Gallery > Exascale Insights (2011) Exascale Insights (2011) Exascale Insights (2011) From: NNSANews...

95

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

E-Print Network (OSTI)

/38, USA Though 'supply-side economics' is politically ascendant in the United States, the relative importance of supply versus demand factors in r,x:ent U.S. macroeconomic history remains in strong dispute the oil price increases a~d pre-ta~: profitability remained strong throughout the 1970s. Demand factors

96

Building Energy Software Tools Directory : ecoInsight Energy...  

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

ecoInsight Energy Audit & Analysis Software Back to Tool ecoInsight screenshot ecoInsight screenshot ecoInsight...

97

Ice Formation in Arctic Mixed-Phase Clouds: Insights from a 3-D Cloud-Resolving Model with Size-Resolved Aerosol and Cloud Microphysics  

SciTech Connect

The single-layer mixed-phase clouds observed during the Atmospheric Radiation Measurement (ARM) program’s Mixed-Phase Arctic Cloud Experiment (MPACE) are simulated with a 3-dimensional cloud-resolving model the System for Atmospheric Modeling (SAM) coupled with an explicit bin microphysics scheme and a radar-lidar simulator. Two possible ice enhancement mechanisms – activation of droplet evaporation residues by condensation-followed-by-freezing and droplet freezing by contact freezing inside-out, are scrutinized by extensive comparisons with aircraft and radar and lidar measurements. The locations of ice initiation associated with each mechanism and the role of ice nuclei (IN) in the evolution of mixed-phase clouds are mainly addressed. Simulations with either mechanism agree well with the in-situ and remote sensing measurements on ice microphysical properties but liquid water content is slightly underpredicted. These two mechanisms give very similar cloud microphysical, macrophysical, dynamical, and radiative properties, although the ice nucleation properties (rate, frequency and location) are completely different. Ice nucleation from activation of evaporation nuclei is most efficient near cloud top areas concentrated on the edges of updrafts, while ice initiation from the drop freezing process has no significant location preference (occurs anywhere that droplet evaporation is significant). Both enhanced nucleation mechanisms contribute dramatically to ice formation with ice particle concentration of 10-15 times higher relative to the simulation without either of them. The contribution of ice nuclei (IN) recycling from ice particle evaporation to IN and ice particle concentration is found to be very significant in this case. Cloud can be very sensitive to IN initially and form a nonquilibrium transition condition, but become much less sensitive as cloud evolves to a steady mixed-phase condition. The parameterization of Meyers et al. [1992] with the observed MPACE IN concentration is able to predict the observed mixed-phase clouds reasonably well. This validation may facilitate the application of this parameterization in the cloud and climate models to simulate Arctic clouds.

Fan, Jiwen; Ovtchinnikov, Mikhail; Comstock, Jennifer M.; McFarlane, Sally A.; Khain, Alexander

2009-02-27T23:59:59.000Z

98

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

Simple Microstructure Model of Price Determination . . 3.11Stock Market Volatility and Price Discovery: Three Essays onConstruction Spending PRICES CPI MONETARY POLICY FFR Source:

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

99

Federal Reserve Bank of DallasTime-Varying Oil Price Volatility and Macroeconomic Aggregates  

E-Print Network (OSTI)

We illustrate the theoretical relation among output, consumption, investment, and oil price volatility in a real business cycle model. The model incorporates demand for oil by a firm, as an intermediate input, and by a household, used in conjunction with a durable good. We estimate a stochastic volatility process for the real price of oil over the period 1986-2011 and utilize the estimated process in a non-linear approximation of the model. For realistic calibrations, an increase in oil price volatility produces a temporary decrease in durable spending, while precautionary savings motives lead investment and real GDP to rise. Irreversible capital and durable investment decisions do not overturn this result.

Michael Plante; Michael Plante; Nora Traum; We Thank Ron Alquist; Sebnem Kalemli-ozcan; Junghoon Lee; James Murray

2012-01-01T23:59:59.000Z

100

Evaluation of the Genetic and Nutritional Control of Obesity and Type 2 Diabetes in a Novel Mouse Model on Chromosome 7: An Insight into Insulin Signaling and Glucose Homeostasis  

Science Conference Proceedings (OSTI)

Obesity is the main cause of type 2 diabetes, accounting for 90-95% of all diabetes cases in the US. Human obesity is a complex trait and can be studied using appropriate mouse models. A novel polygenic mouse model for studying the genetic and environmental contributions to and the physiological ramifications of obesity and related phenotypes is found in specific lines of mice bred and maintained at Oak Ridge National Laboratory. Heterozygous mice with a maternally inherited copy of two radiation-induced deletions in the p region of mouse chromosome 7, p23DFioD and p30PUb, have significantly greater body fat and show hyperinsulinemia compared to the wild-type. A single gene, Atp10c, maps to this critical region and codes for a putative aminophospholipid translocase. Biochemical and molecular studies were initiated to gain insight into obesity and glucose homeostasis in these animals and to study the biological role of Atp10c in creating these phenotypes. Glucose and insulin tolerance tests were standardized for the heterozygous p23DFioD and control mice on a custom-made diet containing 20% protein, 70% carbohydrate, and 10% fat (kcal). Atp10c expression profiles were also generated using Reverse-Transcriptase Polymerase Chain Reaction (RT-PCR). Heterozygous p23DFioD animals showed insulin resistance after receiving a dose of either 0.375 or 0.75 U/kg Illetin R insulin. RT-PCR data also shows differences in Atp10c expression in the mutants versus control mice. Using these standardized biochemical assays, future studies will further the understanding of genetic and nutritional controls of glucose homeostasis and obesity in animal models and subsequently in human populations.

Nelson, S.; Dhar, M.

2003-01-01T23:59:59.000Z

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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

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

E-Print Network (OSTI)

This dissertation consists of three essays. Chapter II examines the possible asymmetric response of gasoline prices to crude oil price changes using an error correction model with GARCH errors. Recent papers have looked at this issue. Some of these papers estimate a form of error correction model, but none of them accounts for autoregressive heteroskedasticity in estimation and testing for asymmetry and none of them takes the response of crude oil price into consideration. We find that time-varying volatility of gasoline price disturbances is an important feature of the data, and when we allow for asymmetric GARCH errors and investigate the system wide impulse response function, we find evidence of asymmetric adjustment to crude oil price changes 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 only a weak impact of fiscal deficits on exchange rates. Based on US dollar-based real exchange rates in G5 countries and a flexible varying coefficient model, we show that the previously documented weak relationship between fiscal deficits and exchange rates may be the result of additive specifications, and that the relationship is stronger if we allow fiscal deficits to impact real exchange rates non-additively as well as nonlinearly. We find that the speed of exchange rate adjustment toward equilibrium depends on the state of the fiscal deficit; a fiscal contraction in the US can lead to less persistence in the deviation of exchange rates from fundamentals, and faster mean reversion to the equilibrium. Chapter IV proposes a kernel method to deal with the nonparametric regression model with only discrete covariates as regressors. This new approach is based on recently developed least squares cross-validation kernel smoothing method. It can not only automatically smooth the irrelevant variables out of the nonparametric regression model, but also avoid the problem of loss of efficiency related to the traditional nonparametric frequency-based method and the problem of misspecification based on parametric model.

Gu, Jingping

2008-08-01T23:59:59.000Z

102

Macroeconomic policy, investment, and urban unemployment in less-developed countries  

SciTech Connect

The two-sector Harris-Todaro model, extended to include a government sector and aggregate demand, is used to analyze the effects on output, prices, and employment of policies designed to mitigate urban unemployment. An increase in aggregate demand will be inflationary even though output will increase. Government job creation will be inflationary, will stimulate manufacturing output, but may result in a decrease in agricultural output. Investment in agriculture will increase agricultural output, decrease manufacturing output, and decrease price level. Investment in manufacturing results in an increase in manufacturing output, and agricultural output and employment will decline and prices will fall. 16 references.

Haessel, W.

1978-02-01T23:59:59.000Z

103

Honda Insight Fleet and Accelerated Reliability Testing  

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

Insight HEVs were driven less than 25,000 miles each (Fleet testing) and the fourth was driven 68,000 miles. During January 2005, the fifth Insight reached 160,000 miles...

104

Nuclear Physics meets Biophysics: New Insights into ...  

Science Conference Proceedings (OSTI)

... Nuclear Physics meets Biophysics: New Insights into Macromolecules. Frank Heinrich, Institut für Experimentelle Physik II, Universität Leipzig. ...

105

Fundamental limits and insights: from wireless communication to DNA sequencing  

E-Print Network (OSTI)

Fundamental limits and insights: from wireless communicationDavid Aldous Fall 2012 Fundamental limits and insights: fromGuy Bresler Abstract Fundamental limits and insights: from

Bresler, Guy

2012-01-01T23:59:59.000Z

106

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

SciTech Connect

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

107

Three essays on macroeconomics  

E-Print Network (OSTI)

in all cases. row presents the percent standard deviation ofThe third row indicates the percent standard deviation ofage groups. Rows 2 and 3 show that the standard deviation of

Pruitt, Seth James

2008-01-01T23:59:59.000Z

108

Macroeconomic Activity Module  

Annual Energy Outlook 2012 (EIA)

Nonfarm labor productivity is expected to diminish from its current high level to a more sustainable level between 1.8 and 2.6 percent for the remainder of the forecast period...

109

Essays on international macroeconomics  

E-Print Network (OSTI)

This thesis examines the impact of terms of trade shocks on commodity-exporting small, open economies. The first chapter examines whether households, firms and policymakers in these economies can distinguish between temporary ...

Rees, Daniel Morgan

2013-01-01T23:59:59.000Z

110

Research on Regional Differences of Urban Resident Consumption Structure in China Based on Fuzzy Matter Element Model  

Science Conference Proceedings (OSTI)

Study of residents’ consumption structure plays an important role in macroeconomic policy formulation. Based on per capita annual consumption expenditure of urban households, the fuzzy matter element model is used to evaluate urban resident consumption ... Keywords: comsumption structure, fuzzy matter-element, Euclid approach degree, government consumption expenditure

Hong Li; Bo Zhou

2010-11-01T23:59:59.000Z

111

Synthetic Cells Shed Biological Insights While Delivering ...  

Science Conference Proceedings (OSTI)

Synthetic Cells Shed Biological Insights While Delivering Battery Power. ... Image of two artificial cells that can act as a tiny battery. ...

2012-10-01T23:59:59.000Z

112

Geothermal: Sponsored by OSTI -- Hydraulic fracturing: insights...  

Office of Scientific and Technical Information (OSTI)

Hydraulic fracturing: insights from field, lab, and numerical studies Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic Search...

113

Decision insight into stakeholder conflict for ERN.  

Science Conference Proceedings (OSTI)

Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

2012-02-01T23:59:59.000Z

114

Effects of Cloud Seeding in West Texas: Additional Results and New Insights  

Science Conference Proceedings (OSTI)

Additional results and new insights have been obtained regarding the effect of randomized dynamic seeding of supercooled convective clouds in west Texas. These have resulted in a revised conceptual model that aids in understanding the new results ...

Daniel Rosenfeld; William L. Woodley

1993-12-01T23:59:59.000Z

115

IDC Energy Insights | Open Energy Information  

Open Energy Info (EERE)

IDC Energy Insights IDC Energy Insights Jump to: navigation, search Logo: IDC Energy Insights Name IDC Energy Insights Place Framingham, Massachusetts Coordinates 42.2917623°, -71.4258945° 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":42.2917623,"lon":-71.4258945,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

116

DOE Research and Development Accomplishments Interesting Insights  

Office of Scientific and Technical Information (OSTI)

DNA Interesting Insights Atom Neat Stuff a pre-Pong video game (Tennis for Two) Video game why dinosaurs are extinct Alvarez BuckyBall 'optical tweezers' Chu the molecule...

117

HEV Fleet Testing - 2001 Honda Insight Hybrid  

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

1 - Honda Insight Hybrid VIN JHMZE14781T002163 Date Mileage Description Cost 2202002 7,595 Changed oil, rotated tires 27.00 592002 15,119 15K service 160.21 6142002 19,290...

118

ALS Gives Chevron Scientists New Insights into Corrosion Resistance  

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

ALS Gives Chevron Scientists New Insights into Corrosion Resistance ALS Gives Chevron Scientists New Insights into Corrosion Resistance Print Thursday, 25 July 2013 13:44 In the...

119

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

120

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/

Note: This page contains sample records for the topic "insight 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

Atomistic insights into aqueous corrosion of copper.  

SciTech Connect

Corrosion is a fundamental problem in electrochemistry and represents a mode of failure of technologically important materials. Understanding the basic mechanism of aqueous corrosion of metals such as Cu in presence of halide ions is hence essential. Using molecular dynamics simulations incorporating reactive force-field (ReaxFF), the interaction of copper substrates and chlorine under aqueous conditions has been investigated. These simulations incorporate effects of proton transfer in the aqueous media and are suitable for modeling the bond formation and bond breakage phenomenon that is associated with complex aqueous corrosion phenomena. Systematic investigation of the corrosion process has been carried out by simulating different chlorine concentration and solution states. The structural and morphological differences associated with metal dissolution in the presence of chloride ions are evaluated using dynamical correlation functions. The simulated atomic trajectories are used to analyze the charged states, molecular structure and ion density distribution which are utilized to understand the atomic scale mechanism of corrosion of copper substrates under aqueous conditions. Increased concentration of chlorine and higher ambient temperature were found to expedite the corrosion of copper. In order to study the effect of solution states on the corrosion resistance of Cu, partial fractions of proton or hydroxide in water were configured, and higher corrosion rate at partial fraction hydroxide environment was observed. When the Cl{sup -} concentration is low, oxygen or hydroxide ion adsorption onto Cu surface has been confirmed in partial fraction hydroxide environment. Our study provides new atomic scale insights into the early stages of aqueous corrosion of metals such as copper.

Jeon, B.; Sankaranarayanan, S. K. R. S.; van Duin, A. C. T.; Ramanathan, S. (Center for Nanoscale Materials); (Harvard Univ.); (Penn State Univ.)

2011-06-21T23:59:59.000Z

122

Insight REV dbk.indd  

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

67 lbs 67 lbs Delivered Curb Weight: 1959 lbs Distribution F/R: 61/39 % GVWR: 2380 lbs GAWR F/R: 1355/1035 lbs Payload: 411 lbs Performance Goal: 400 lbs DIMENSIONS Wheelbase: 94.5 inches Track F/R: 56.5/52.2 inches Length: 155.1 inches Width: 66.7 inches Height: 51.5 inches Ground Clearance: 4.6 inches Performance Goal: 5.0 inches TIRES Tire Mfg: Bridgestone Tire Model: Potenza Tire Size: 165/65R14

123

Space-Time Insight | Open Energy Information  

Open Energy Info (EERE)

Space-Time Insight Space-Time Insight Jump to: navigation, search Name Space-Time Insight Address 45680 Northport Loop East Place Fremont, California Zip 94538 Sector Efficiency Product SpaceTime Awareness Server Year founded 2008 Number of employees 11-50 Website http://www.spacetimeinsight.co Coordinates 37.4923832°, -121.9532879° 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":37.4923832,"lon":-121.9532879,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

124

PRISM 2.0: Personal Transportation Module of the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) Model: A Guide to Operation and Development  

Science Conference Proceedings (OSTI)

The personal transportation/electric vehicle penetration module (Transportation Module) of the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) integrated regional macroeconomic model is a structural economic model of personal vehicle purchase and driving behaviors that focuses on the adoption of electric vehicles. The module employs a representation of consumers’ demographics, existing vehicles, vehicle choices, and preferences for vehicle characteristics to model personal vehicle ...

2013-09-26T23:59:59.000Z

125

IBM Internet Security Systems Threat Insight Monthly  

E-Print Network (OSTI)

. http://docs.info.apple.com/article.html?artnum=303411 BEA Systems - 2007 Daylight Savings Time ChangesIBM Internet Security Systems X-Force ® Threat Insight Monthly www.iss.netwww.iss.net February 2007 Shellcode Heuristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 The 2007 Daylight

126

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

SciTech Connect

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

127

Insights from UT Austin Energy Poll  

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

Insights from UT Austin Energy Insights from UT Austin Energy Poll on U.S. Consumer Attitudes July 24, 2013 Sheril Kirshenbaum Director of The Energy Poll Page 2 Source: University of Texas at Austin Energy Poll Impartial and authoritative source of public perspectives on energy to inform and guide discussion, business planning and policy development Page 3 Source: University of Texas at Austin Energy Poll Background * First questionnaire developed in 2010 (Inaugural launch Oct. 2011) * Collaborative effort with representatives from academic institutions, polling companies, non-governmental organizations, energy producers and energy consumers Fall 2012 - Third Release * Online survey conducted September 6-17, 2012 * 2,092 respondents, weighted to reflect U.S. Census demographics

128

RCx Insights and Best Practices from Utilities  

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

Insights and Best Practices from Insights and Best Practices from Utilities Ryan Stoianowski Senior Program Manager, ComEd A PECI EVENT 18 th National Conference on Building Commissioning Learning Objectives 1. ComEd's RCx Program and all its flavors 2. Case studies for Museum, Hospital, and Office 3. Program design changes and lessons learned 4. Anticipated future direction of the program AIA Quality Assurance A PECI EVENT 18 th National Conference on Building Commissioning Smart Ideas Background  What is the Smart Ideas Program? * Provides incentives for energy efficient upgrades and incentives * Part of Illinois energy legislation passed in 2007 * Program implemented by ComEd, Ameren Illinois, and the Illinois Department of Commerce and Economic Opportunity

129

Insights from Human/Mouse genome comparisons  

SciTech Connect

Large-scale public genomic sequencing efforts have provided a wealth of vertebrate sequence data poised to provide insights into mammalian biology. These include deep genomic sequence coverage of human, mouse, rat, zebrafish, and two pufferfish (Fugu rubripes and Tetraodon nigroviridis) (Aparicio et al. 2002; Lander et al. 2001; Venter et al. 2001; Waterston et al. 2002). In addition, a high-priority has been placed on determining the genomic sequence of chimpanzee, dog, cow, frog, and chicken (Boguski 2002). While only recently available, whole genome sequence data have provided the unique opportunity to globally compare complete genome contents. Furthermore, the shared evolutionary ancestry of vertebrate species has allowed the development of comparative genomic approaches to identify ancient conserved sequences with functionality. Accordingly, this review focuses on the initial comparison of available mammalian genomes and describes various insights derived from such analysis.

Pennacchio, Len A.

2003-03-30T23:59:59.000Z

130

THE PALAEOZOIC PALYNOSTRATIGRAPHY OF THE KAROO PALYNOFACIES INSIGHT INTO PALAEOENVIRONMENTAL  

E-Print Network (OSTI)

THE PALAEOZOIC PALYNOSTRATIGRAPHY OF THE KAROO SUPERGROUP AND PALYNOFACIES INSIGHT INTO PALAEOENVIRONMENTAL INTERPRETATIONS, KALAHARI KAROO BASIN, BOTSWANA Benson N. Modie 2007 Thesis submitted Techniques THE PALAEOZOIC PALYNOSTRATIGRAPHY OF THE KAROO SUPERGROUP AND PALYNOFACIES INSIGHT

Paris-Sud XI, Université de

131

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Enzyme Structure Provides Insights into Cancer and Aging Print Wednesday, 25 February 2009 00:00 XPD helicase is an enzyme...

132

Probabilistic Risk Assessment - Insights for Executives  

Science Conference Proceedings (OSTI)

This report describes the development and use of a new Probabilistic Risk Assessment (PRA) training resource, Probabilistic Risk Assessment – Insights for Executives.  It consists of a slide package with speaker notes, for use by EPRI members to expand understanding of PRA and its applications among executives and nuclear power plant leadership teams.BackgroundWhile many technical disciplines in the nuclear industry have gained acceptance and are ...

2013-07-31T23:59:59.000Z

133

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

134

Ecofys-Nationally Appropriate Mitigation Actions: Insights from Example  

Open Energy Info (EERE)

Ecofys-Nationally Appropriate Mitigation Actions: Insights from Example Ecofys-Nationally Appropriate Mitigation Actions: Insights from Example Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Appropriate Mitigation Actions: Insights from Example Development Agency/Company /Organization: Ecofys Sector: Energy, Land Topics: Low emission development planning, Policies/deployment programs Resource Type: Lessons learned/best practices Website: www.ecofys.com/com/publications/brochures_newsletters/documents/Report National Appropriate Mitigation Actions: Insights from Example Development Screenshot References: National Appropriate Mitigation Actions: Insights from Example Development[1] "Ecofys elaborated in several projects, concrete examples of NAMAs to understand the issues arising from this concept. This report summarizes the

135

Indonesia's Macroeconomic and Trade Performance  

E-Print Network (OSTI)

This paper investigates the links between Indonesia's growth, debt, and trade performances from 1970 to 1990, and it compares Indonesia's performance with countries that have similar characteristics. This descriptive analysis points to the strong influence of oil revenue fluctuations, open capital markets, and exchange rate management on Indonesia's economy. A decomposition analysis of Indonesia's uses of external debt indicates that the financing of current account deficits cannot explain large proportions of rapid debt accumulation after 1970. Finally, Indonesia's real manufactured export growth of at least 28 percent per year during the 1980s rivalled its regional neighbors. Indonesia's experience demonstrates that despite severe external shocks, sensible policy reforms can help developing countries to achieve impressive economic performances. Yana van der Meulen Rodgers is an Assistant Professor at the College of William and

Yana Van Der Meulen Rodgers; Yana Van Der Meulen Rodgers

1994-01-01T23:59:59.000Z

136

Simulation of Homogenous Precipitation Using the KWN Model and ...  

Science Conference Proceedings (OSTI)

Atomistic Simulation Studies of Materials Interfaces: Recent Insights and .... Thermochemical Models and Phase Equilibria of Urania Rare Earth Fluorite Phases.

137

Open Data for Climate and Health Insights  

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

Open Data for Climate and Health Insights Print E-mail Open Data for Climate and Health Insights Print E-mail Metadata Access Tool for Climate and Health (MATCH) Website Thursday, May 9, 2013 Posted by Tom Armstrong, Executive Director, U.S. Global Change Research Program Today, in conjunction with a series of landmark steps announced by the Obama Administration to unleash troves of useful data from the vaults of government, the interagency US Global Change Research Program (USGCRP) launched a new online tool that promises to accelerate research relating to climate change and human health-the Metadata Access Tool for Climate and Health, or "MATCH." The Administration announcements made today include an Executive Order signed by the President declaring that information is a valuable national resource and strategic asset, and a new government-wide Open Data Policy requiring that, going forward, data generated by the government shall be made available in open, machine-readable formats. The move will make troves of previously inaccessible or unmanageable data more readily available to entrepreneurs, researchers, and others who can use open data as fuel for innovation, businesses and new services and tools.

138

Risk Insights Gained from Fire Incidents  

SciTech Connect

There now exist close to 20 years of history in the application of Probabilistic Risk Assessment (PRA) for the analysis of fire risk at nuclear power plants. The current methods are based on various assumptions regarding fire phenomena, the impact of fire on equipment and operator response, and the overall progression of a fire event from initiation through final resolution. Over this same time period, a number of significant fire incidents have occurred at nuclear power plants around the world. Insights gained from US experience have been used in US studies as the statistical basis for establishing fire initiation frequencies both as a function of the plant area and the initiating fire source.To a lesser extent, the fire experience has also been used to assess the general severity and duration of fires. However, aside from these statistical analyses, the incidents have rarely been scrutinized in detail to verify the underlying assumptions of fire PRAs. This paper discusses an effort, under which a set of fire incidents are being reviewed in order to gain insights directly relevant to the methods, data, and assumptions that form the basis for current fire PRAs. The paper focuses on the objectives of the effort, the specific fire events being reviews methodology, and anticipated follow-on activities.

Kazarians, Mardy; Nowlen, Steven P.

1999-06-10T23:59:59.000Z

139

Insights into Spring 2008 Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

Insights into Spring 2008 Gasoline Prices Insights into Spring 2008 Gasoline Prices Insights into Spring 2008 Gasoline Prices EIA released a new analytical report entitled Motor Gasoline Market Spring 2007 and Implications for Spring 2008. It includes a discussion of scheduled refinery outages in 2008 prepared in accordance with Section 804 of the Energy Independence and Security Act (EISA) of 2007, which requires EIA to review and analyze information on such outages from commercial reporting services and assess to their expected effects on the price and supply of gasoline. Changes in wholesale gasoline prices relative to crude oil are determined by the tightness between gasoline supply (production and net imports) and demand. Expectations for U.S. gasoline supply relative to demand are for a more favorable situation in January through May 2008 than was the case in the comparable 2007 period. Demand growth, which varies seasonally and depends on economic factors, is expected to slow. New gasoline supply is affected by refinery outages, refinery run decisions, and import variations. Planned refinery outages for January through May 2008 are lower than for the same period in 2007. Given lower planned outages and assuming the return of unplanned outages to more typical levels, including the return of BP's Texas City refinery to full operation, gasoline production could increase between 100 and 200 thousand barrels per day over last year's level, depending on the market incentives. In addition, ethanol use, which adds to gasoline supply, is expected to continue to increase. Considering the uncertainty in all the gasoline supply components, there is little likelihood of events combining in 2008 to lead to the kind of tight supply downstream from crude oil markets seen in spring 2007. In summary, refinery outage and import impacts should contribute less to gasoline price increases in 2008 than in 2007. If all of the low-range estimates for supply occurred, total gasoline supply would increase about 200 thousand barrels per day (Figure S1). However, record crude oil prices are nonetheless pushing current and expected gasoline prices to record levels.

140

New Insights Into Deep Convective Core Vertical Velocities Using...  

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

Insights Into Deep Convective Core Vertical Velocities Using ARM UHF Wind Profilers For original submission and image(s), see ARM Research Highlights http:www.arm.govscience...

Note: This page contains sample records for the topic "insight 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

Bob Jaffe, Massachusetts Institute of Technology, Insights from...  

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

Massachusetts Institute of Technology, Insights from the Energy Critical Elements Policy Study by the American Physical Society and Material Research Society Bob Jaffe,...

142

insights on the Road to Performance Excellence November ...  

Science Conference Proceedings (OSTI)

... Grail for every organizational leader around the globe. ... marketplace and an uncertain global economy will ... concepts shared in this Insights column. ...

2013-03-27T23:59:59.000Z

143

Structure of an Unusually Small RNA Switch Provides Insight into...  

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

Structure of an Unusually Small RNA Switch Provides Insight into the Minimal Requirements for Microbial Gene Regulation The emergence of drug-resistant microbes represents a major...

144

Abstract - The ICSI Notary: Lessons and Insights from a Large ...  

Science Conference Proceedings (OSTI)

Abstract title: The ICSI Notary: Lessons and Insights from a Large ... ongoing live measurement effort aimed at understanding the global SSL/TLS ...

2013-03-12T23:59:59.000Z

145

Penetrating Insights: NIST Airframe Tests Help Ensure Better ...  

Science Conference Proceedings (OSTI)

Penetrating Insights: NIST Airframe Tests Help Ensure Better Shielding for Flight ... were a Boeing 737-200 and a Bombardier Global 5000 business ...

2010-12-29T23:59:59.000Z

146

Honda Insight Fleet and Accelerated Reliability Testing  

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

Hybrid Electric Vehicle Accelerated Testing (Model Year 2004) - October 2007 Two (Model Year 2004) Toyota Prius hybrid electric vehicles (HEVs) entered accelerated testing in a...

147

Battery Usage and Thermal Performance of the Toyota Prius and Honda Insight for Various Chassis Dynamometer Test Procedures: Preprint  

DOE Green Energy (OSTI)

This study describes the results from the National Renewable Energy Laboratory's (NREL) chassis dynamometer testing of a 2000 model year Honda Insight and 2001 model year Toyota Prius. The tests were conducted for the purpose of evaluating the battery thermal performance, assessing the impact of air conditioning on fuel economy and emissions, and providing information for NREL's Advanced Vehicle Simulator (ADVISOR).

Kelly, K. J.; Mihalic, M.; Zolot, M.

2001-11-20T23:59:59.000Z

148

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

149

Insights from the downhole dynamometer database  

SciTech Connect

The Downhole Dynamometer Database is a compilation of test data collected with a set of five downhole tools built by Albert Engineering under contract to Sandia National Laboratories. The downhole dynamometer tools are memory tools deployed in the sucker rod string with sensors to measure pressure, temperature, load, and acceleration. The acceleration data is processed to yield position, so that a load vs. position dynagraph can be generated using data collected downhole. With five tools in the hole at one time, all measured data and computed dynagraphs from five different positions in the rod string are available. The purpose of the Database is to provide industry with a complete and high quality measurement of downhole sucker rod pumping dynamics. To facilitate use of the database, Sandia has developed a Microsoft Windows-based interface that functions as a visualizer and browser to the more than 40 MBytes of data. The interface also includes a data export feature to allow users to extract data from the database for use in their own programs. Following a brief description of the downhole dynamometer tools, data collection program, and database content, this paper will illustrate a few of the interesting and unique insights gained from the downhole data.

Waggoner, J.R.

1997-03-01T23:59:59.000Z

150

The ADVANCE project: Insights and achievments  

Science Conference Proceedings (OSTI)

ADVANCE [Advanced Driver and Vehicle Advisory Navigation ConcEpt] was a public/private partnership conceived and developed by four founding parties. The founding parties include the Federal Highway Administration (FHWA), the Illinois Department of Transportation (IDOT), the University of Illinois at Chicago and Northwestern University operating together under the auspices of the Illinois Universities Transportation Research Consortium (IUTRC), and Motorola, Inc. The major responsibilities of each party are fully described in the Project agreement. Subsequently, these four were joined on the Steering Committee by the American Automobile Association (AAA). This unique blending of public sector, private sector and university interests, augmented by more than two dozen other private sector participants, provided a strong set of resources for ADVANCE. The ADVANCE test area covered over 300 square miles including portions of the City of Chicago and 40 northwest suburban communities. The Project encompasses the high growth areas adjacent to O`Hare International Airport, the Schaumburg/Hoffman Estates office and retail complexes, and the Lake-Cook Road development corridor. It also includes major sports and entertainment complexes such as the Arlington International Racecourse and the Rosemont Horizon. The population in the area is more than 750,000. The Insights and Perspectives Compendium is intended to provide useful information to project managers, system developers, and system integrators of future similar ITS implementations. It is intended for those that are technically interested in the ADVANCE Project and have a basic understanding of the project.

NONE

1996-12-31T23:59:59.000Z

151

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

152

Honda Insight Fleet and Accelerated Reliability Testing  

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

Volt EREV Accelerated Testing - June 2013 Four model year 2013 Chevrolet Volt extended range electric vehicles (EREVs) entered Accelerated testing during November 2012 in a fleet...

153

Honda Insight Fleet and Accelerated Reliability Testing  

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

Chevrolet Volt EREV Accelerated Testing - June 2013 Two model year 2011 Chevrolet Volt extended range electric vehicles (EREVs) entered Accelerated testing during March 2011 in a...

154

Honda Insight Fleet and Accelerated Reliability Testing  

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

Ford Fusion Hybrid Electric Vehicle Accelerated Testing - May 2012 Two model year 2010 Ford Fusion hybrid electric vehicles (HEVs) entered Accelerated testing during August 2009 in...

155

Honda Insight Fleet and Accelerated Reliability Testing  

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

Gen III Prius HEV Accelerated Testing - May 2012 Two model year 2010 Toyota Generation III Prius hybrid electric vehicles (HEVs) entered Accelerated testing during July 2009 in a...

156

Honda Insight Fleet and Accelerated Reliability Testing  

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

Civic CNG Accelerated Testing - June 2013 Four model year 2013 Honda Civic compressed natural gas (CNGs) entered Accelerated testing during November 2012 in a fleet in Arizona....

157

Computer Modeling Illuminates Degradation Pathways of Cations in Alkaline Membrane Fuel Cells (Fact Sheet)  

DOE Green Energy (OSTI)

Cation degradation insights obtained by computational modeling could result in better performance and longer lifetime for alkaline membrane fuel cells.

Not Available

2012-08-01T23:59:59.000Z

158

Technical Insights for Saltstone PA Maintenance  

Science Conference Proceedings (OSTI)

The Cementitious Barriers Partnership (CBP) is a collaborative program sponsored by the US DOE Office of Waste Processing. The objective of the CBP is to develop a set of computational tools to improve understanding and prediction of the long-term structural, hydraulic, and chemical performance of cementitious barriers and waste forms used in nuclear applications. CBP tools are expected to better characterize and reduce the uncertainties of current methodologies for assessing cementitious barrier performance and increase the consistency and transparency of the assessment process, as the five-year program progresses. In September 2009, entering its second year of funded effort, the CBP sought opportunities to provide near-term tangible support to DOE Performance Assessments (PAs). The Savannah River Saltstone Disposal Facility (SDF) was selected for the initial PA support effort because (1) cementitious waste forms and barriers play a prominent role in the performance of the facility, (2) certain important long-term behaviors of cementitious materials composing the facility are uncertain, (3) review of the SDF PA by external stakeholders is ongoing, and (4) the DOE contractor responsible for the SDF PA is open to receiving technical assistance from the CBP. A review of the current (SRR Closure & Waste Disposal Authority 2009) and prior Saltstone PAs (e.g., Cook et al. 2005) suggested five potential opportunities for improving predictions. The candidate topics considered were (1) concrete degradation from external sulfate attack, (2) impact of atmospheric exposure to concrete and grout before closure, such as accelerated slag and Tc-99 oxidation, (3) mechanistic prediction of geochemical conditions, (4) concrete degradation from rebar corrosion due to carbonation, and (5) early age cracking from drying and/or thermal shrinkage. The candidate topics were down-selected considering the feasibility of addressing each issue within approximately six months, and compatibility with existing CBP expertise and already-planned activities. Based on these criteria, the five original topics were down-selected to two: external sulfate attack and mechanistic geochemical prediction. For each of the selected topics, the CBP communicated with the PA analysts and subject matter experts at Savannah River to acquire input data specific to the Saltstone facility and related laboratory experiments. Simulations and analyses were performed for both topics using STADIUM (SIMCO 2008), LeachXS/ORCHESTRA (ECN 2007, Meeussen 2003), and other software tools. These supplemental CBP analyses produced valuable technical insights that can be used to strengthen the Saltstone PA using the ongoing PA maintenance process. This report in part summarizes key information gleaned from more comprehensive documents prepared by Sarkar et al. (2010), Samson (2010), and Sarkar (2010).

Flach, G.; Sarkar, S.; Mahadevan, S.; Kosson, D.

2011-07-20T23:59:59.000Z

159

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

160

Voices of Experience: Insights on Smart Grid Customer Engagement (July  

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

Voices of Experience: Insights on Smart Grid Customer Engagement Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) The success of the Smart Grid will depend in part on consumers taking a more proactive role in managing their energy use. This document is the result of a nine-month effort to compile information on the successful approaches used by utilities to engage customers regarding smart grid technology deployments. Voices of Experience: Insights on Smart Grid Customer Engagement provides practical advice from utilities that have implemented smart grid projects to educate and engage their customers. Customer engagement within the electric power industry is an evolving, ongoing process that is just beginning to emerge. While this guide may lean

Note: This page contains sample records for the topic "insight 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

Worldwide Trends in Energy Use and Efficiency: Key Insights from...  

Open Energy Info (EERE)

Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Jump to:...

162

People are Strange: Current Behavioral Insights into Energy Usage  

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

People are Strange: Current Behavioral Insights into Energy Usage Speaker(s): Susan Mazur-Stommen Date: October 10, 2011 - 12:00pm Location: 90-1099 Seminar HostPoint of Contact:...

163

Basic Science Simulations Provide New Insights to Aid Hydrogen...  

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

provides insight into flame anchoring in a hydrogen-rich jet in cross-flow. When gas turbine designers want to use gasified biomass for stationary power generation, they...

164

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism...

165

Enzyme Structure Provides Insights into Cancer and Aging  

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

Bioscience Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair...

166

Neutrons' view of hydrogen yields insight into HIV drug design...  

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

Neutrons' view of hydrogen yields insight into HIV drug design ORNL-led study demonstrates relevance of neutrons in biomedical research An ORNL-led team used neutrons to study the...

167

Voices of Experience: Insights on Smart Grid Customer Engagement (July  

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

Voices of Experience: Insights on Smart Grid Customer Engagement Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) Voices of Experience: Insights on Smart Grid Customer Engagement (July 2013) The success of the Smart Grid will depend in part on consumers taking a more proactive role in managing their energy use. This document is the result of a nine-month effort to compile information on the successful approaches used by utilities to engage customers regarding smart grid technology deployments. Voices of Experience: Insights on Smart Grid Customer Engagement provides practical advice from utilities that have implemented smart grid projects to educate and engage their customers. Customer engagement within the electric power industry is an evolving, ongoing process that is just beginning to emerge. While this guide may lean

168

Fuel Panics - insights from spatial agent-based simulation  

E-Print Network (OSTI)

UNIVERSITY OF CAMBRIDGE Cambridge Working Papers in Economics Fuel Panics insights from spatial agent-based simulation Eben Upton and William J. Nuttall CWPE 1309 Fuel Panics insights from spatial agent-based simulation EPRG... Working Paper 1305 Cambridge Working Paper in Economics 1309 Eben Upton and William J. Nuttall Abstract The United Kingdom has twice suffered major disruption as a result of fuel panics first in September 2000 coincident with a wave...

Upton, Eben; Nuttall, William J.

2013-04-01T23:59:59.000Z

169

Content Modeling Using Latent Permutations  

E-Print Network (OSTI)

We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying ...

Chen, Harr

170

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect

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

171

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.

NONE

1998-02-01T23:59:59.000Z

172

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)

173

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”).

174

DOE Hydrogen Analysis Repository: Second Generation Model (SGM)  

NLE Websites -- All DOE Office Websites (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

175

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.

176

Proteins' Amazing Origami Powers: Insight for Potential Disease Treatments  

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

Proteins' Amazing Origami Powers: Insight for Potential Disease Proteins' Amazing Origami Powers: Insight for Potential Disease Treatments Proteins' Amazing Origami Powers: Insight for Potential Disease Treatments October 4, 2011 - 12:46pm Addthis This is a visualization of drug molecules ("parade day-like balloons") in a simulated attack of the ribbon-like protein fibrils that are believed to be the cause of Alzheimer’s disease. Click here to see more amazing supercomputer simulations. | Image courtesy of ORNL. This is a visualization of drug molecules ("parade day-like balloons") in a simulated attack of the ribbon-like protein fibrils that are believed to be the cause of Alzheimer's disease. Click here to see more amazing

177

Bob Jaffe, Massachusetts Institute of Technology, Insights from the Energy  

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

Bob Jaffe, Massachusetts Institute of Technology, Insights from the Bob Jaffe, Massachusetts Institute of Technology, Insights from the Energy Critical Elements Policy Study by the American Physical Society and Material Research Society Bob Jaffe, Massachusetts Institute of Technology, Insights from the Energy Critical Elements Policy Study by the American Physical Society and Material Research Society Session_A5_Jaffe_MIT.pdf More Documents & Publications Trans-Atlantic Workshop on Rare Earth Elements and Other Critical Materials for a Clean Energy Future Steve Duclos, Chief Scientist, GE Global Research, Research Priorities for More Efficient Use of Critical Materials from a U.S. Corporate Perspective Michael Heine, SGL Group - The Carbon Company, Carbon Fibers in Lightweight Systems for Wind Energy and Automotive Applications: Availability and

178

Nuclear magnetic resonance offers new insights into Pu 239  

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

Nuclear magnetic resonance offers new insights into Pu 239 Nuclear magnetic resonance offers new insights into Pu 239 Nuclear magnetic resonance offers new insights into Pu 239 Fingerprint of element found by LANL/Japanese team. May 29, 2012 How would the detonation of a nuclear energy source afffect an incoming asteroid? Georgios Koutroulakis and H. Yasuoka in the condensed-matter NMR lab at Los Alamos National Laboratory after having observed the magnetic resonance signal of Pu 239 for the first time. Get Expertise Scientist Eric Bauer Condensed Matter & Magnet Science Email Professor Hiroshi Yasuoka Japan Atomic Energy Agency "This discovery of the plutonium 239 magnetic resonance promises to revolutionize our understanding of plutonium solid state physics, chemistry, biology and materials science."

179

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Print Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

180

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Print Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

Note: This page contains sample records for the topic "insight 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

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Print Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

182

Worldwide Trends in Energy Use and Efficiency: Key Insights from  

Open Energy Info (EERE)

Worldwide Trends in Energy Use and Efficiency: Key Insights from Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Focus Area: Power Plant Efficiency Topics: Potentials & Scenarios Website: www.iea.org/papers/2008/indicators_2008.pdf Equivalent URI: cleanenergysolutions.org/content/worldwide-trends-energy-use-and-effic Language: English Policies: "Regulations,Deployment Programs" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property.

183

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Insights into Cancer and Aging Print Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

184

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

185

Industry insight Energy and utilities In a nutshell  

E-Print Network (OSTI)

in highly specific areas within the oil and gas, waste management, recycling and renewable energies sectors1 Industry insight ­ Energy and utilities In a nutshell The UK's energy and utilities industry management; renewable energy industries; energy conservation organisations. The industry employs around 530

Martin, Ralph R.

186

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

187

Models  

E-Print Network (OSTI)

• A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f (·) is a parametric family known up to parameters ?. • Parameter estimation: maximum likelihood ˆ?n = arg max ? ln f (Yt, Xt, ?) (2) t • What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified

Stas Kolenikov; U Of Missouri; U Of Missouri

2007-01-01T23:59:59.000Z

188

Water an Unusual Liquid; LCLS Provides New Insights | Stanford Synchrotron  

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

Water an Unusual Liquid; LCLS Provides New Insights Water an Unusual Liquid; LCLS Provides New Insights Wednesday, November 13, 2013 - 3:00pm SLAC, Redtail Hawk Conference Room 108A Anders Nilsson, SUNCAT The anomalous physical properties of water are responsible for sustaining much of life on earth; for example, water displays a higher heat capacity than common liquids and expands upon freezing. Some of these anomalous physical properties become dramatically enhanced upon supercooling below the freezing point. In particular, extrapolations of the thermal expansion coefficient, isothermal compressibility, heat capacity and correlation length can all be fitted with a power law divergence with the same apparent singularity temperature of about 228 K. Experiments on pure bulk water below about ~240 K have so far been difficult: water crystallization occurs

189

Enzyme Structure Provides Insights into Cancer and Aging  

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

Bioscience Bioscience Enzyme Structure Provides Insights into Cancer and Aging Print XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

190

Microsoft Word - EXT-00102-Insight Final Report-Printformat.doc  

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

0102 0102 March 2002 Field Operations Program - Honda Insight Hybrid Electric Vehicle Performance Characterization Report J. Francfort N. Nguyen J. Phung J. Smith M. Wehrey INEEL/EXT-02-00102 Field Operations Program - Honda Insight Hybrid Electric Vehicle Performance Characterization Report J. Francfort 1 N. Nguyen 2 J. Phung 2 J. Smith 2 M. Wehrey 2 Published March 2002 Idaho National Engineering and Environmental Laboratory Transportation Technology and Infrastructure Department Idaho Falls, Idaho 83415 Prepared for the U.S. Department of Energy Assistant Secretary for Energy Efficiency and Renewable Energy Under DOE Idaho Operations Office Contract No. DE-AC07-99ID13727 1 INEEL/Bechtel BWXT Idaho, LLC. 2 Southern California Edison iii

191

New imaging technique provides improved insight into controlling the plasma  

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

New imaging technique provides improved insight into controlling the plasma New imaging technique provides improved insight into controlling the plasma in fusion experiments By John Greenwald December 9, 2013 Tweet Widget Facebook Like Google Plus One Graphic representation of 2D images of fluctuating electron temperatures in a cross-section of a confined fusion plasma. Graphic representation of 2D images of fluctuating electron temperatures in a cross-section of a confined fusion plasma. A key issue for the development of fusion energy to generate electricity is the ability to confine the superhot, charged plasma gas that fuels fusion reactions in magnetic devices called tokamaks. This gas is subject to instabilities that cause it to leak from the magnetic fields and halt fusion reactions. Now a recently developed imaging technique can help researchers improve

192

New imaging technique provides improved insight into controlling the plasma  

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

New imaging technique provides improved insight into controlling the plasma New imaging technique provides improved insight into controlling the plasma in fusion experiments By John Greenwald December 9, 2013 Tweet Widget Facebook Like Google Plus One Graphic representation of 2D images of fluctuating electron temperatures in a cross-section of a confined fusion plasma. Graphic representation of 2D images of fluctuating electron temperatures in a cross-section of a confined fusion plasma. A key issue for the development of fusion energy to generate electricity is the ability to confine the superhot, charged plasma gas that fuels fusion reactions in magnetic devices called tokamaks. This gas is subject to instabilities that cause it to leak from the magnetic fields and halt fusion reactions. Now a recently developed imaging technique can help researchers improve

193

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.

194

V-016: HP Performance Insight Bugs with Sybase Database Let Remote...  

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

Performance Insight Bugs with Sybase Database Let Remote Users Deny Service and Take Full Control of the Target System V-016: HP Performance Insight Bugs with Sybase Database Let...

195

Enzyme Structure Provides Insights into Cancer and Aging  

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

Enzyme Structure Provides Enzyme Structure Provides Insights into Cancer and Aging Enzyme Structure Provides Insights into Cancer and Aging Print Wednesday, 25 February 2009 00:00 XPD helicase is an enzyme that unwinds the DNA double helix; it is one component of an essential repair mechanism that maintains the integrity of DNA. XPD is unique, however, in that pinpoint mutations of this single protein are responsible for three different human diseases: in xeroderma pigmentosum (XP), extreme sensitivity to sunlight promotes cancer; Cockayne syndrome (CS) involves stunted growth and premature aging; trichothiodystrophy (TTD), characterized by brittle hair and scaly skin, is another form of greatly accelerated aging. At the ALS, researchers from Berkeley Lab and The Scripps Research Institute recently solved the structure of XPD. The structure gives novel insight into the processes of aging and cancer by revealing how discrete flaws-as seemingly insignificant as a change in either of two adjacent amino acid residues-can lead to diseases with completely different physical manifestations.

196

High Rise Fire Study Provides Insight Into Deadly Wind-Driven ...  

Science Conference Proceedings (OSTI)

High Rise Fire Study Provides Insight Into Deadly Wind-Driven Fires. From NIST Tech Beat: May 5, 2009. ...

2011-04-05T23:59:59.000Z

197

The National Energy Modeling System: An overview  

Science Conference Proceedings (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

198

Modeling  

NLE Websites -- All DOE Office Websites (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

199

Macroeconomic Conditions, Firm Characteristics, and ... - Springer  

Science Conference Proceedings (OSTI)

rate as well as the dynamics of the asset value of the issuing firm. ..... each credit rating over a given horizon, the calibration yields a distinctive value of ..... Conference in Venice, Italy, the 2004 FMA Annual Meeting in New Orleans, and at ...

200

Essays on frictions in financial macroeconomics  

E-Print Network (OSTI)

Stoneridge Inc. Small XOM Exxon Mobil Corp. Large Decemberof the US equity market Exxon Mobil and General Electric

Kay, Benjamin S.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Macroeconomic Implications of the Zero Lower Bound  

E-Print Network (OSTI)

A.4 Oil Shocks: Standard ErrorCorrection . . . . . . . . . . . . . . . . A.5 Oil Shocks:A.6 Oil Shocks: Event

Wieland, Johannes Friedrich

2013-01-01T23:59:59.000Z

202

Essays in macroeconomics : information and financial markets  

E-Print Network (OSTI)

This thesis studies how information imperfections affect financial markets and the macroeconomy. Chapter 1 considers an economy where investors delegate their investment decisions to financial institutions that choose ...

Iovino, Luigi

2012-01-01T23:59:59.000Z

203

Essays on the macroeconomics of economic development  

E-Print Network (OSTI)

Chapter 1 contains a theory of misallocation. In contrast to a recent literature where misallocation stems from imperfect input markets, I study an economy with non-competitive output markets. This change of focus has two ...

Peters, Michael

2012-01-01T23:59:59.000Z

204

Macroeconomic Implications of the Zero Lower Bound  

E-Print Network (OSTI)

is large. In addition the quantity of oil supplied mustequal the quantity of oil demanded, X(t) = X F (t) + X H (t)

Wieland, Johannes Friedrich

2013-01-01T23:59:59.000Z

205

Essays on macroeconomics and international trade  

E-Print Network (OSTI)

This thesis focuses on the study of different aspects of income inequality across and within countries. In the first chapter, I study how the optimal provision of human capital is distorted in the presence of borrowing ...

Mestieri, Martí (Mestieri Ferre)

2011-01-01T23:59:59.000Z

206

National Energy Modeling System (NEMS)  

DOE Data Explorer (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.

207

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)

208

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.

209

NETL: News Release - Computer Program Provides Insight into "Fire Ice"  

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

April 13, 2006 April 13, 2006 Computer Program Provides Insight Into "Fire Ice" Model Used by Researchers Evaluates Production Potential of Methane Hydrates WASHINGTON, DC - An innovative simulation program developed with funding from the U.S. Department of Energy (DOE) is helping identify future energy supplies. The first publicly available simulator of its kind, the TOUGH-Fx/Hydrate program is helping researchers and industry partners better understand an emerging natural gas resource: methane hydrates. MORE INFO TOUGH-Fx/Hydrate Project As U.S. demand for natural gas continues to rise, so does our dependence on foreign imports and our need for alternative energy resources. Early studies have shown researchers that methane hydrates-frozen compounds of flammable methane gas trapped inside water molecules-could be the fuel of

210

Structures for Three Membrane Transport Proteins Yield Functional Insights  

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

Structures for Three Membrane Structures for Three Membrane Transport Proteins Yield Functional Insights Structures for Three Membrane Transport Proteins Yield Functional Insights Print Wednesday, 27 January 2010 00:00 Cells depend on contact with their outside environment in order to thrive. Two examples illustrate why: In one, information needed to guide cellular processes is constantly transmitted across cell membranes by specialized proteins, and in the other, maintaining the right gradient of ions across the membrane is a process critical to the life and death of a cell. Membrane transport proteins-functioning either as channels or transporters-are the gatekeepers that control contact with the world outside the cell by catalyzing the flow of ions and molecules across cell membranes. Malfunctioning transport proteins can lead to cancer, inflammatory, and neurological diseases. Despite their importance in cell function and in a multitude of physiological processes such as sensing pain, there are still many unknowns about how they function. Recently, in an impressive series of three papers in Nature and Science, researchers at the Oregon Health and Science University delineated the structures of three transporter proteins, one of which had never before been characterized structurally in such detail. The structures were solved using ALS Beamlines 5.0.2, 8.2.1, and 8.2.2.

211

SunShot Initiative: Physics of Reliability: Evaluating Design Insights for  

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

Physics of Reliability: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar to someone by E-mail Share SunShot Initiative: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar on Facebook Tweet about SunShot Initiative: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar on Twitter Bookmark SunShot Initiative: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar on Google Bookmark SunShot Initiative: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar on Delicious Rank SunShot Initiative: Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar on Digg Find More places to share SunShot Initiative: Physics of

212

V-016: HP Performance Insight Bugs with Sybase Database Let Remote Users  

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

6: HP Performance Insight Bugs with Sybase Database Let Remote 6: HP Performance Insight Bugs with Sybase Database Let Remote Users Deny Service and Take Full Control of the Target System V-016: HP Performance Insight Bugs with Sybase Database Let Remote Users Deny Service and Take Full Control of the Target System November 5, 2012 - 6:00am Addthis PROBLEM: HP Performance Insight Bugs with Sybase Database Let Remote Users Deny Service and Take Full Control of the Target System PLATFORM: HP Performance Insight v5.31, v5.40 and v5.41 running on HP-UX, Solaris, Linux, and Windows and using Sybase as the database ABSTRACT: Two vulnerabilities were reported in HP Performance Insight. REFERENCE LINKS: HP Support Document ID: c03555488 SecurityTracker Alert ID: 1027719 CVE-2012-3269 CVE-2012-3270 IMPACT ASSESSMENT: High DISCUSSION:

213

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).

214

DOE Joint Genome Institute: Peach Genome Offers Insights into Breeding  

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

March 24, 2013 March 24, 2013 Peach Genome Offers Insights into Breeding Strategies for Biofuels Crops Rapidly growing trees like poplars and willows are candidate "biofuel crops" from which it is expected that cellulosic ethanol and higher energy content fuels can be efficiently extracted. Domesticating these crops requires a deep understanding of the physiology and genetics of trees, and scientists are turning to long-domesticated fruit trees for hints. The relationship between a peach and a poplar may not be obvious at first glance, but to botanists both trees are part of the rosid superfamily, which includes not only fruit crops like apples, strawberries, cherries, and almonds, but many other plants as well, including rose that gives the superfamily its name.

215

Solar wind samples give insight into birth of solar system  

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

Solar wind samples Solar wind samples Solar wind samples give insight into birth of solar system Most of the Genesis payload consisted of fragile solar-wind collectors, which had been exposed to the solar particles over a period of two years. June 23, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials.

216

"Omics of the mammalian gut new insights into function  

SciTech Connect

To understand the role of gut microbes in host health, it is imperative to probe their genetic potential, expression, and ecological status. The current high-throughput sequencing revolution, in addition to advances in mass spectrometry-based proteomics, have recently enabled deep access to these complex environments, and are revealing important insights into the roles of the gastrointestinal (GI) microbiota in host physiology and health. This review discusses examples of how the integration of cutting-edge meta-omics technologies are providing new knowledge about the relationships between host health status in mammals and the microbes inhabiting the GI tract. In addition, we address some promises that these techniques hold for future therapeutic and diagnostic applications.

Lamendella, Regina [Lawrence Berkeley National Laboratory (LBNL); Verberkmoes, Nathan C [ORNL; Jansson, Janet [Lawrence Berkeley National Laboratory (LBNL)

2012-01-01T23:59:59.000Z

217

Public Versus Private: Does It Matter for Water Conservation? Insights from California  

E-Print Network (OSTI)

It Matter for Water Conservation? Insights from Californiaand man- dated water conservation, as well as to pricehands or private. Keywords Water conservation Á Droughts Á

Kallis, Giorgos; Ray, Isha; Fulton, Julian; McMahon, James E.

2010-01-01T23:59:59.000Z

218

Insights On The Thermal History Of The Valles Caldera, New Mexico...  

Open Energy Info (EERE)

icon Twitter icon Insights On The Thermal History Of The Valles Caldera, New Mexico- Evidence From Zircon Fission-Track Analysis Jump to: navigation, search GEOTHERMAL...

219

Global models of document structure using latent permutations  

E-Print Network (OSTI)

We present a novel Bayesian topic model for learning discourse-level document structure. Our model leverages insights from discourse theory to constrain latent topic assignments in a way that reflects the underlying ...

Chen, Harr

220

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.

Note: This page contains sample records for the topic "insight 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

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

SciTech Connect

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

222

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”).

223

PRA insights applicable to the design of the Broad Applications Test Reactor  

SciTech Connect

Design insights applicable to the design of a new Broad Applications Test Reactor (BATR), being studied at Idaho National Engineering Laboratory, are summarized. Sources of design insights include past probabilistic risk assessments and related studies for department of Energy-owned Class A reactors and for commercial reactors. The report includes a preliminary risk allocation scheme for the BATR.

Khericha, S.T.; Reilly, H.J.

1993-01-01T23:59:59.000Z

224

Global pattern of earthquakes and seismic energy distributions: Insights for the mechanisms of plate tectonics  

E-Print Network (OSTI)

Ã?Ã? Ã? Ã?Ã?Ã? Ã? Ã?Ã? Global pattern of earthquakes and seismic energy distributions: Insights energy distributions: insights for the mechanisms of plate tectonics P. Vargaa , F. Krummb , F. Riguzzic In this paper, we analyse the distributions of number of events (N) and seismic energy (E) on the Earth

Stuttgart, Universität

225

The Resolution Dependence of Model Physics: Illustrations from Nonhydrostatic Model Experiments  

Science Conference Proceedings (OSTI)

The goal of this paper is to gain insight into the resolution dependence of model physics, the parameterization of moist convection in particular, which is required for accurately predicting large-scale features of the atmosphere. To achieve this ...

Joon-Hee Jung; Akio Arakawa

2004-01-01T23:59:59.000Z

226

EM Gains Insight from Germany on Salt-Based Repositories | Department of  

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

Gains Insight from Germany on Salt-Based Repositories Gains Insight from Germany on Salt-Based Repositories EM Gains Insight from Germany on Salt-Based Repositories December 14, 2011 - 12:00pm Addthis Participants in the workshops in Germany toured Asse II, one of Germany’s two salt-based repositories, to gain insights into that facility’s technical challenges and proposed solutions. Pictured, left to right, are an Asse II employee, Bernhard Kienzler of the Karlsruhe Institute of Technology, CBFO Chief Scientist Roger Nelson, CBFO International Programs Manager Dr. Abraham Van Luik, and Andrew Wolfsberg, Acting Deputy Division Leader for Earth and Environmental Sciences at Los Alamos National Laboratory. Participants in the workshops in Germany toured Asse II, one of Germany's two salt-based repositories, to gain insights into that facility's

227

Can we trust the transgenic mouse? insights from computer simulations  

Science Conference Proceedings (OSTI)

Over the past several decades, the mouse has gained prominence in the cardiac electrophysiology literature as the animal model of choice. Using computer models of the mouse and human ECG, this paper is a step toward understanding when themouse succeeds ...

Joseph Tranquillo; Adhira Sunkara

2007-06-01T23:59:59.000Z

228

Delivering Insight The History of the Accelerated Strategic Computing Initiative  

SciTech Connect

The history of the Accelerated Strategic Computing Initiative (ASCI) tells of the development of computational simulation into a third fundamental piece of the scientific method, on a par with theory and experiment. ASCI did not invent the idea, nor was it alone in bringing it to fruition. But ASCI provided the wherewithal - hardware, software, environment, funding, and, most of all, the urgency - that made it happen. On October 1, 2005, the Initiative completed its tenth year of funding. The advances made by ASCI over its first decade are truly incredible. Lawrence Livermore, Los Alamos, and Sandia National Laboratories, along with leadership provided by the Department of Energy's Defense Programs Headquarters, fundamentally changed computational simulation and how it is used to enable scientific insight. To do this, astounding advances were made in simulation applications, computing platforms, and user environments. ASCI dramatically changed existing - and forged new - relationships, both among the Laboratories and with outside partners. By its tenth anniversary, despite daunting challenges, ASCI had accomplished all of the major goals set at its beginning. The history of ASCI is about the vision, leadership, endurance, and partnerships that made these advances possible.

Larzelere II, A R

2007-01-03T23:59:59.000Z

229

Documentation of the DRI Model of the US economy, December 1993  

SciTech Connect

The Energy Information Administration (EIA) uses models of the US economy developed by Data Resources, Inc. (DRI) for conducting policy analyses, preparing forecasts for the Annual Energy Outlook, the Short-Term Energy Outlook, and related analyses in conjunction with EIA`s National Energy Modeling System (NEMS) and its other energy market models. Both the DRI Model of the US Economy and the DRI Personal Computer Input-Output Model (PC-IO){sup 2} were developed and are maintained by DRI as proprietary models. This report provides documentation, as required by EIA standards for the use of proprietary models; describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations. Appendix A describes how the two large-scale models documented here are used to support the macroeconomic and interindustry modeling associated with the National Energy Modeling System. Appendix B is an article by Stephen McNees of the Federal Reserve Bank of Boston on ``How Large are Economic Forecast Errors.`` This article assesses the forecast accuracy of a number of economic forecasting models (groups) and is attached as an independent assessment of the forecast accuracy of the DRI Model of the US Economy.

Not Available

1994-02-28T23:59:59.000Z

230

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

SciTech Connect

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

231

Toward a Definition of Modeling Power for Stochastic Petri Net Models  

E-Print Network (OSTI)

Toward a Definition of Modeling Power for Stochastic Petri Net Models Gianfranco Ciardo Duke Abstract Some insight on the meaning of "modeling power" for Stochastic Petri Net models is given constructs are shown to be equivalent: inhibitor arcs, transition priorities, and enabling functions

Ciardo, Gianfranco

232

Energy metabolism in Desulfovibrio vulgaris Hildenborough: insights from transcriptome analysis  

DOE Green Energy (OSTI)

Sulphate-reducing bacteria are important players in the global sulphur and carbon cycles, with considerable economical and ecological impact. However, the process of sulphate respiration is still incompletely understood. Several mechanisms of energy conservation have been proposed, but it is unclear how the different strategies contribute to the overall process. In order to obtain a deeper insight into the energy metabolism of sulphate-reducers whole-genome microarrays were used to compare the transcriptional response of Desulfovibrio vulgaris Hildenborough grown with hydrogen/sulphate, pyruvate/sulphate, pyruvate with limiting sulphate, and lactate/thiosulphate, relative to growth in lactate/sulphate. Growth with hydrogen/sulphate showed the largest number of differentially expressed genes and the largest changes in transcript levels. In this condition the most up-regulated energy metabolism genes were those coding for the periplasmic [NiFeSe]hydrogenase, followed by the Ech hydrogenase. The results also provide evidence for the involvement of formate cycling and the recently proposed ethanol pathway during growth in hydrogen. The pathway involving CO cycling is relevant during growth on lactate and pyruvate, but not during growth in hydrogen as the most down-regulated genes were those coding for the CO-induced hydrogenase. Growth on lactate/thiosulphate reveals a down-regulation of several energymetabolism genes similar to what was observed in the presence of nitrite. This study identifies the role of several proteins involved in the energy metabolism of D. vulgaris and highlights several novel genes related to this process, revealing a more complex bioenergetic metabolism than previously considered.

Pereira, Patricia M.; He, Qiang; Valente, Filipa M.A.; Xavier, Antonio V.; Zhou, Jizhong; Pereira, Ines A.C.; Louro, Ricardo O.

2007-11-01T23:59:59.000Z

233

Embedded Atom Method Insight into the Phase Stability of Alloys  

Science Conference Proceedings (OSTI)

Atomistic modeling of thermodynamic properties of Pu-Ga alloys based on the Invar ... Resources for the selection and use of interatomic potentials in atomistic  ...

234

Continuous Opinion Dynamics: Insights through Interactive Markov Chains  

E-Print Network (OSTI)

We reformulate the agent-based opinion dynamics models of Weisbuch-Deffuant and Hegselmann-Krause as interactive Markov chains. So we switch the scope from a finite number of n agents to a finite number of n opinion classes. Thus, we will look at an infinite population distributed to opinion classes instead of agents with real number opinions. The interactive Markov chains show similar dynamical behavior as the agent-based models: stabilization and clustering. Our framework leads to a discrete bifurcation diagram for each model which gives a good view on the driving forces and the attractive states of the system. The analysis shows that the emergence of minor clusters in the Weisbuch-Deffuant model and of meta-stable states with very slow convergence to consensus in the Hegselmann Krause model are intrinsic to the dynamical behavior.

Lorenz, Jan

2007-01-01T23:59:59.000Z

235

Global pattern of earthquakes and seismic energy distributions: Insights for the mechanisms of plate tectonics  

E-Print Network (OSTI)

Global pattern of earthquakes and seismic energy distributions: Insights for the mechanisms October 2011 Keywords: Global seismicity Declustered catalogue Earthquake energy distribution Plate tectonics In this paper, we analyse the distributions of number of events (N) and seismic energy (E

Doglioni, Carlo

236

Complexity within the Air Force acquisition system gaining insight from a theory of collapse  

E-Print Network (OSTI)

Joseph Tainter's theory of societal collapse is applied in an examination of the U.S. Air Force's aircraft acquisition system in order to gain insight into the enterprise's lagging performance. Theories of collapse at both ...

Marticello, Daniel Nicholas, Jr

2012-01-01T23:59:59.000Z

237

Scientific Insights from Four Generations of Lagrangian Smart Balloons in Atmospheric Research  

Science Conference Proceedings (OSTI)

This paper provides an overview of the trials and successes in the development of an autonomous balloon instrument platform (smart balloon) and reviews scientific insights gained through its employment as a marker in a Lagrangian strategy during ...

S. Businger; R. Johnson; R. Talbot

2006-11-01T23:59:59.000Z

238

Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico  

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

4, 2013 Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico USGS technicians Eric Moore and Jenny White deploy instruments at the start of a seismic survey to explore...

239

On the Scientific Contributions and Insight of Professor Yale Mintz  

Science Conference Proceedings (OSTI)

Professor Yale Mintz's contributions in combining theory, diagnostic analysis, and modeling in scientific studies across a broad range of interests over more than four decades are reviewed. His studies include diagnostic analysis of the general ...

Donald R. Johnson; Akio Arakawa

1996-12-01T23:59:59.000Z

240

Simultaneous activation of multiple memory systems during learning : insights from electrophysiology and modeling  

E-Print Network (OSTI)

Parallel cortico-basal ganglia loops are thought to give rise to a diverse set of limbic, associative and motor functions, but little is known about how these loops operate and how their neural activities evolve during ...

Thorn, Catherine A. (Catherine Ann), 1980-

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Water Vapor Variability Across Spatial Scales: Insights for Theory, Parameterization, and Model Assessment  

E-Print Network (OSTI)

3 Spatial Structure Function Analysis of Very Tall Tower 3.1as observed from a very tall tower. Global Change Biology,mea- surements from a tall tower. Extended Abstracts, 13th

Pressel, Kyle Gregory

2012-01-01T23:59:59.000Z

242

What is Driving Changes in the Tropospheric Circulation? New Insights from Simplified Models.  

E-Print Network (OSTI)

??This thesis seeks an improved understanding of what has been driving changes in the large scale tropospheric circulation. First, we consider the effects of stratospheric… (more)

Tandon, Neil Francis

2013-01-01T23:59:59.000Z

243

Forest fire management in Portugal : developing system insights through models of social and physical dynamics  

E-Print Network (OSTI)

Managing forest fires is a serious national problem in Portugal. Burned area has increased steadily over the past several decades, with particularly devastating years in 2003 and 2005. Ignitions also spike dramatically in ...

Collins, Ross D. (Ross Daniel)

2012-01-01T23:59:59.000Z

244

Water Vapor Variability Across Spatial Scales: Insights for Theory, Parameterization, and Model Assessment  

E-Print Network (OSTI)

flux is composed of solar radiation which is scattered outsunrise on Day 1, solar radiation warms the land surfacedecrease of incoming solar radiation and the efficiency with

Pressel, Kyle Gregory

2012-01-01T23:59:59.000Z

245

How Well Do Coupled Models Simulate Today's Climate?  

Science Conference Proceedings (OSTI)

Information about climate and how it responds to increased greenhouse gas concentrations depends heavily on insight gained from numerical simulations by coupled climate models. The confidence placed in quantitative estimates of the rate and ...

Thomas Reichler; Junsu Kim

2008-03-01T23:59:59.000Z

246

CIMS: a framework for infrastructure interdependency modeling and analysis  

Science Conference Proceedings (OSTI)

Today's society relies greatly upon an array of complex national and international infrastructure networks, such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into ...

Donald D. Dudenhoeffer; May R. Permann; Milos Manic

2006-12-01T23:59:59.000Z

247

Estimation of Persistence Lengths of Semiflexible Polymers: Insight from Simulations  

E-Print Network (OSTI)

The persistence length of macromolecules is one of their basic characteristics, describing their intrinsic local stiffness. However, it is difficult to extract this length from physical properties of the polymers, different recipes may give answers that disagree with each other. Monte Carlo simulations are used to elucidate this problem, giving a comparative discussion of two lattice models, the self-avoiding walk model extended by a bond bending energy, and bottle-brush polymers described by the bond fluctuation model. The conditions are discussed under which a description of such macromolecules by Kratky-Porod worm-like chains holds, and the question to what extent the persistence length depends on external conditions (such as solvent quality) is considered. The scattering function of semiflexible polymers is discussed in detail, a comparison to various analytic treatments is given, and an outlook to experimental work is presented.

Hsiao-Ping Hsu; Wolfgang Paul; Kurt Binder

2013-03-11T23:59:59.000Z

248

Why Analyze Mental Models of Local Climate Change? A Case from Southern Mozambique  

Science Conference Proceedings (OSTI)

People construct mental models of local climate change based on their observations and experiences of past climate events and changes. These mental models offer critical insight into locally important factors that trigger responses to new climate ...

L. Jen Shaffer; Leocadia Naiene

2011-10-01T23:59:59.000Z

249

A Simple Atmospheric Model of Surface Heat Flux for Use in Ocean Modeling Studies  

Science Conference Proceedings (OSTI)

A simple model of the lower atmospheric layers and land/sea ice surface is described and analyzed. The model is able to depict with reasonable accuracy the global ocean heat fluxes. Due to the model's simplicity, insight into the mechanisms ...

Richard Kleeman; Scott B. Power

1995-01-01T23:59:59.000Z

250

Nuclear Power Plant Fire-Modeling Applications Guide  

Science Conference Proceedings (OSTI)

This report replaces EPRI 1002981, Fire Modeling Guide for Nuclear Power Plant Applications, August 2002, as guidance for fire-modeling practitioners in nuclear power plants (NPPs). The report has benefited from insights gained since 2002 on the predictive capability of selected fire models to improve confidence in the use of fire modeling in NPP decision-making.

2009-12-22T23:59:59.000Z

251

The nature of fire-cracked rock: new insights from ethnoarchaeological and laboratory experiments  

E-Print Network (OSTI)

Fire-cracked rock (FCR) is the archaeological by-product of the systemic use of hot rocks for cooking and heating purposes. As a record of various cooking and heating facilities, FCR has substantial potential for addressing research questions on past settlement and subsistence systems. To be able to address these questions requires reliable methods that can identify or infer how a given FCR was used. A series of ethnoarchaeological replication experiments are conducted in order to improve the understanding of the geothennodynamics of FCR production. FCR from two experimental data sets are cut to expose flat surfaces that are inspected for thermal-weathering characteristics under low-power magnification. Analytical results indicate that rock structure and the length of heat application have the most control over thermal weathering. The five most important rock structure characteristics are (1) strength of the bond between grains/crystals, (2) degree of porosity, (3) grain/crystal mineralogy, (4) presence of discontinuities, and (5) grain size; thin section analysis can identify these characteristics for any rock sample. The length of heat application varies dependent on the type of cooking or heating facility, for instance, a typical earth oven remains hot for a longer duration than a typical stone-boil facility; multiple uses of a rock in a facility also increases the sum total of heat application. In broad terms, experimental tests indicate igneous rock types withstand thermal weathering better than metamorphic or sedimentary rock types. Ethnoarchaeological results are applied to six archaeological FCR features, and provide new insights on the use-history of five of the features. Microscopic observations of archaeological FCR also all for the re-evaluation of the current model which explains the occurrence of various FCR shape types within features.

Jackson, Michael A

1998-01-01T23:59:59.000Z

252

New insight on global QCD fits using Regge theory  

SciTech Connect

In global QCD fits, one has to choose an initial parton distribution at Q{sup 2} = Q{sub 0}{sup 2}. I shall argue that the initial condition chosen in usual standard sets is inconsistent with analytic S-matrix theory. I shall show how one can combine these two approaches, leading to a Regge-compatible next-to-leading order global QCD fit. This allows one to extend the parametrisation in the low-Q2 region. Finally, I shall discuss how it it possible to use the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) equation to obtain information on Regge models at high Q2.

Soyez, G. [CEA Saclay, Service de Physique Theorique, Orme des Merisiers Bat 774, F-91191 Gif-Sur-Yvette (France)

2005-06-14T23:59:59.000Z

253

Hybrid Electric Vehicle End-Of-Life Testing On Honda Insights, Gen I Civics And Toyota Gen I Priuses  

SciTech Connect

This technical report details the end-of-life fuel efficiency and battery testing on two model year 2001 Honda Insight hybrid electric vehicles (HEVs), two model year 2003 Honda Civic HEVs, and two model year 2002 Toyota Prius HEVs. The end-of-life testing was conducted after each vehicle has been operated for approximately 160,000 miles. This testing was conducted by the U.S. Department of Energy’s (DOE) Advanced Vehicle Testing Activity (AVTA). The AVTA is part of DOE’s FreedomCAR and Vehicle Technologies Program. SAE J1634 fuel efficiency testing was performed on the six HEVs with the air conditioning (AC) on and off. The AC on and off test results are compared to new vehicle AC on and off fuel efficiencies for each HEV model. The six HEVs were all end-of-life tested using new-vehicle coast down coefficients. In addition, one of each HEV model was also subjected to fuel efficiency testing using coast down coefficients obtained when the vehicles completed 160,000 miles of fleet testing. Traction battery pack capacity and power tests were also performed on all six HEVs during the end-of-life testing in accordance with the FreedomCAR Battery Test Manual For Power-Assist Hybrid Electric Vehicles procedures. When using the new-vehicle coast down coefficients (Phase I testing), 11 of 12 HEV tests (each HEV was tested once with the AC on and once with the AC off) had increases in fuel efficiencies compared to the new vehicle test results. The end-of-life fuel efficiency tests using the end-of-life coast down coefficients (Phase II testing) show decreases in fuel economies in five of six tests (three with the AC on and three with it off). All six HEVs experienced decreases in battery capacities, with the two Insights having the highest remaining capacities and the two Priuses having the lowest remaining capacities. The AVTA’s end-of-life testing activities discussed in this report were conducted by the Idaho National Laboratory; the AVTA testing partner Electric Transportation Applications, and by Exponent Failure Analysis Associates.

James Francfort; Donald Karner; Ryan Harkins; Joseph Tardiolo

2006-02-01T23:59:59.000Z

254

Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico |  

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

Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico Expedition Provides New Insight on Gas Hydrates in Gulf of Mexico May 14, 2013 - 10:00am Addthis USGS technicians Eric Moore and Jenny White deploy instruments at the start of a seismic survey to explore gas hydrates in the deepwater Gulf of Mexico from April to May 2013 | Photo courtesy of USGS USGS technicians Eric Moore and Jenny White deploy instruments at the start of a seismic survey to explore gas hydrates in the deepwater Gulf of Mexico from April to May 2013 | Photo courtesy of USGS Washington, DC - A joint-federal-agency 15-day research expedition in the northern Gulf of Mexico yielded innovative high-resolution seismic data and imagery that will help refine characterizations of large methane

255

Closer to HIV vaccine goal with new insight into viral factors  

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

Closer to HIV vaccine goal with new insight into viral factors Closer to HIV vaccine goal with new insight into viral factors New insight into viral factors that facilitate HIV transmission Understanding viral factors that facilitate transmission of HIV infection is critical to developing vaccines. February 14, 2012 Scientists work at the National Stable Isotope Resource LANL scientists found that the infected donor's predominant virus subpopulation in the genital tract differed from that in the blood. Comparing the HIV sequence population in each newly infected partner with that in the genital tract of the transmitting partner revealed that the transmitted variant was genetically distinct from the donor's predominant genital-tract variants. The results imply that a selective process, rather than a random one, determines the transmitted or founder virus.

256

Fundamental New Insight Into Material for Optical-Switching | U.S. DOE  

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

Fundamental New Insight Into Material for Optical-Switching Fundamental New Insight Into Material for Optical-Switching Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » September 2013 Fundamental New Insight Into Material for Optical-Switching A triple point, where three different atomic structures coexist simultaneously, has been uncovered in vanadium dioxide. Print Text Size: A A A Subscribe FeedbackShare Page Click to enlarge photo. Enlarge Photo Image courtesy of David H Cobden

257

New Insights into Particle Detection with Superheated Liquids  

E-Print Network (OSTI)

We report new results obtained in calibrations of superheated liquid droplet detectors used in dark matter searches with different radiation sources (n,$\\alpha$,$\\gamma$). In particular, detectors were spiked with alpha-emitters located inside and outside the droplets. It is shown that the responses are different, depending on whether alpha particles or recoil nuclei create the signals. The energy thresholds for $\\alpha$-emitters are compared with test beam measurements using mono-energetic neutrons, as well as with theoretical predictions. Finally a model is presented which describes how the observed intensities of particle induced acoustic signals can be related to the dynamics of bubble growth in superheated liquids. An improved understanding of the bubble dynamics is an important first step in obtaining better discrimination between particle types interacting in detectors of this kind.

S. Archambault; F. Aubin; M. Auger; M. Beleshi; E. Behnke; J. Behnke; B. Beltran; K. Clark; X. Dai; A. Davour; F. Debris. J. Farine; M. -H. Genest; G. Giroux; R. Gornea; R. Faust; H. Hinnefeld; A. Kamaha; C. B. Krauss; M. Lafrenière; M. Laurin; I. Lawson; C. Leroy; C. Lévy; L. Lessard; I. Levine; J. -P. Martin; S. Kumaratunga; R. MacDonald; R. Nadeau; A. Noble; M. -C. Piro; S. Pospisil; N. Starinski; I. Stekl; N. Vander Werf; U. Wichoski; V. Zacek

2010-11-20T23:59:59.000Z

258

Examination of 1D Solar Cell Model Limitations Using 3D SPICE Modeling: Preprint  

DOE Green Energy (OSTI)

To examine the limitations of one-dimensional (1D) solar cell modeling, 3D SPICE-based modeling is used to examine in detail the validity of the 1D assumptions as a function of sheet resistance for a model cell. The internal voltages and current densities produced by this modeling give additional insight into the differences between the 1D and 3D models.

McMahon, W. E.; Olson, J. M.; Geisz, J. F.; Friedman, D. J.

2012-06-01T23:59:59.000Z

259

NREL: Energy Analysis - Data Analysis and Visualization Staff  

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

solar water-heating experience Primary research interests Macroeconomic energy-impact analysis Wind-power market modeling Transient power system modeling Building performance...

260

A new hydrothermal scenario for the 2006 Lusi eruption, Indonesia. Insights from gas geochemistry  

E-Print Network (OSTI)

acquired a wide set of data of molecular and isotopic composition of gas sampled in several Lusi vents, in the surrounding mud volcanoes, in the closest natural gas field (Wunut), and in the hydrothermal ventsA new hydrothermal scenario for the 2006 Lusi eruption, Indonesia. Insights from gas geochemistry

Mazzini, Adriano

Note: This page contains sample records for the topic "insight 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

When mud volcanoes sleep: Insight from seep geochemistry at the Dashgil mud volcano, Azerbaijan  

E-Print Network (OSTI)

When mud volcanoes sleep: Insight from seep geochemistry at the Dashgil mud volcano, Azerbaijan A Petroleum Research, Oslo Research Park, 0349 Oslo, Norway c Geology Institute Azerbaijan, Husein Avenue 29A, Baku, Azerbaijan d Moscow State University, Faculty of Geology, Vorobjevy Gory, Moscow 119992, Russia e

Mazzini, Adriano

262

Is the Internet for Porn? An Insight Into the Online Adult Industry  

E-Print Network (OSTI)

Is the Internet for Porn? An Insight Into the Online Adult Industry Gilbert Wondracek1 , Thorsten Introduction "The Internet is for Porn" is the title of a satirical song that has been viewed several million at work. With a total worth of more than 97 billion USD in 2006 [14], the Internet porn industry yields

Kruegel, Christopher

263

Effective Supply Chain Management Strategy for Food Products: An Insight to Linked Partnerships  

Science Conference Proceedings (OSTI)

This paper explores and extends the supply chain management strategy for food products effectively and efficiently through analysis of insights to linked partnerships within the supply chain due to the possibility of a global food crisis. The required ... Keywords: Food Crisis Resolution, Logistics Management, Strategic Partnership, Supply Chain Management Strategy, Supply Chain Strategy, Supply Chain for Agricultural Products

Witaya Krajaysri

2010-07-01T23:59:59.000Z

264

Turtle phylogeny: insights from a novel nuclear intron Matthew K. Fujita,a,1  

E-Print Network (OSTI)

selection, and lineage sorting often require additional nuclear data to test mitochon- drial DNA (mtTurtle phylogeny: insights from a novel nuclear intron Matthew K. Fujita,a,1 Tag N. Engstrom,b,2. However, no primers exist for a nuclear intron that amplifies across all turtles. Available data from

Grether, Gregory

265

Voices of Experience: New Guide Offers Utilities’ Insights on Engaging with Smart Grid Customers  

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

The Voices of Experience | Insights on Smart Grid Customer Engagement guide builds on the knowledge shared during a series of DOE-sponsored regional peer-to-peer workshops during which utilities discussed compelling smart grid topics and issues. The guide offers practical advice and lessons learned, and showcases creative, high-impact approaches.

266

THE EFFECTS OF FAULT-INDUCED STRESS ANISOTROPY ON FRACTURING, FOLDING AND SILL EMPLACEMENT: INSIGHTS FROM THE BOWIE COAL  

E-Print Network (OSTI)

: INSIGHTS FROM THE BOWIE COAL MINES, SOUTHERN PICEANCE BASIN, WESTERN COLORADO by Eric D. Robeck A thesis-INDUCED STRESS ANISOTROPY ON FRACTURING, FOLDING AND SILL EMPLACEMENT: INSIGHTS FROM THE BOWIE COAL MINES. The Bowie underground coal mines of western Colorado expose a reverse-reactivated growth fault

Seamons, Kent E.

267

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":""}]}

268

An information-theoretic, vector-space-model approach to cross-language information retrieval*  

Science Conference Proceedings (OSTI)

In this article, we demonstrate several novel ways in which insights from information theory (IT) and computational linguistics (CL) can be woven into a vector-space-model (VSM) approach to information retrieval (IR). Our proposals focus, essentially, ...

Peter a. Chew; Brett w. Bader; Stephen Helmreich; Ahmed Abdelali; Stephen j. Verzi

2011-01-01T23:59:59.000Z

269

A Multiscale Model for Efficient Simulation of a Membrane Bound Viral Fusion Peptide  

Science Conference Proceedings (OSTI)

Biomolecular simulations have been particularly useful in providing atomic-level insights into biological processes. The simulations can be conducted at atomistic or coarse- grained resolution. An atomistic simulation can model atomic details of a biological ...

Yudong Sun; Steve McKeever; Kia Balali-Mood; Mark S. P. Sansom

2007-11-01T23:59:59.000Z

270

Finite-geometry models of electric field noise from patch potentials in ion traps  

E-Print Network (OSTI)

We model electric field noise from fluctuating patch potentials on conducting surfaces by taking into account the finite geometry of the ion trap electrodes to gain insight into the origin of anomalous heating in ion traps. ...

Low, Guang Hao

271

Nuclear Models  

SciTech Connect

The atomic nucleus is a typical example of a many-body problem. On the one hand, the number of nucleons (protons and neutrons) that constitute the nucleus is too large to allow for exact calculations. On the other hand, the number of constituent particles is too small for the individual nuclear excitation states to be explained by statistical methods. Another problem, particular for the atomic nucleus, is that the nucleon-nucleon (n-n) interaction is not one of the fundamental forces of Nature, and is hard to put in a single closed equation. The nucleon-nucleon interaction also behaves differently between two free nucleons (bare interaction) and between two nucleons in the nuclear medium (dressed interaction).Because of the above reasons, specific nuclear many-body models have been devised of which each one sheds light on some selected aspects of nuclear structure. Only combining the viewpoints of different models, a global insight of the atomic nucleus can be gained. In this chapter, we revise the the Nuclear Shell Model as an example of the microscopic approach, and the Collective Model as an example of the geometric approach. Finally, we study the statistical properties of nuclear spectra, basing on symmetry principles, to find out whether there is quantum chaos in the atomic nucleus. All three major approaches have been rewarded with the Nobel Prize of Physics. In the text, we will stress how each approach introduces its own series of approximations to reduce the prohibitingly large number of degrees of freedom of the full many-body problem to a smaller manageable number of effective degrees of freedom.

Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)

2010-09-10T23:59:59.000Z

272

Management Insights  

Science Conference Proceedings (OSTI)

Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals (p. 1219) Corey M. Angst, Ritu Agarwal, V. ...

Michael F. Gorman

2010-08-01T23:59:59.000Z

273

MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights  

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

MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights Edward Luke 1 , Pavlos Kollias 1 , Matthew Shupe 2 1. Brookhaven National Laboratory 2. CIRES/NOAA/ETL Predicting HSRL depolarization with MMCR classifier Actual Depolarization Predicted Depolarization How accurately can combined HSRL, MMCR, MWR, and radiosonde generate the "golden" phase retrievals needed to train an MMCR-only classifier? For further discussion see Shupe, 2007. How well can the MMCR-only classifier predict the phase of "golden" retrievals it has not been trained on? We focus here on this second question. KEY EVALUATION QUESTIONS Classifier Sensitivity to Certain Input Parameters Probability Distributions of Certain Input Parameters Probability of Correct Phase Classification

274

Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert Stakeholders  

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

Mobilizing Public Markets to Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert Stakeholders Paul Schwabe and Michael Mendelsohn National Renewable Energy Laboratory Felix Mormann Steyer-Taylor Center for Energy Policy and Finance Stanford University Douglas J. Arent Joint Institute for Strategic Energy Analysis Technical Report NREL/TP-6A20-55021 June 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert

275

Insights On The Thermal History Of The Valles Caldera, New Mexico- Evidence  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Insights On The Thermal History Of The Valles Caldera, New Mexico- Evidence From Zircon Fission-Track Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Insights On The Thermal History Of The Valles Caldera, New Mexico- Evidence From Zircon Fission-Track Analysis Details Activities (2) Areas (1) Regions (0) Abstract: The zircon fission-track dating method was applied to the VC-2B core obtained from the active hydrothermal system at Sulphur Springs, Valles caldera, New Mexico. Four samples were analyzed to obtain both zircon ages and track length data from Permian strata to Precambrian quartz

276

Section 1603 Treasury Grant Expiration: Industry Insight on Financing and Market Implications  

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

§1603 Treasury Grant §1603 Treasury Grant Expiration: Industry Insight on Financing and Market Implications Michael Mendelsohn National Renewable Energy Laboratory John Harper Birch Tree Capital, LLC Technical Report NREL/TP-6A20-53720 June 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 §1603 Treasury Grant Expiration: Industry Insight on Financing and Market Implications Michael Mendelsohn National Renewable Energy Laboratory John Harper Birch Tree Capital, LLC

277

Why are gasoline prices sticky? A test of alternative models of price adjustment  

E-Print Network (OSTI)

Several macroeconomic models of business cycles rely on the assumption that …rms adjust prices infrequently to generate the short-run non-neutrality of money documented by the literature on monetary transmission. These models posit di¤erent mechanisms to generate price stickiness, with correspondingly di¤erent implications for in‡ation dynamics. While empirical implications regarding the response to macro shocks are indistinguishable on a time series of daily price changes, the models have distinct predictions on the dynamic patterns of price adjustment. In this paper, we use daily data on wholesale gasoline prices to test three explanations for price stickiness: menu-costs, information processing, and strategic interactions. Using an autoregressive conditional binomial (ACB) model, we show that both the past distribution of price changes and the lagged gap have signi…cant explanatory power for the probability of a price change over and above the current price-cost gap. Our results have important implications regarding which of the three explanations (menu-costs, information processing, or strategic interactions) best …ts the observed wholesale gasoline data. First, the signi…cant e¤ect of the historic distribution of price changes leads us to reject menu-costs as an explanation for price

Christopher Douglas; Ana María Herrera

2009-01-01T23:59:59.000Z

278

Preliminary and Incomplete 1 General Equilibrium of a Monetary Model with State-Dependent Pricing ?  

E-Print Network (OSTI)

There is a long standing debate on whether nominal shocks have real effects on the economy. According to one theory, frictions in the price adjustment process can lead to the non-neutrality of money. Macroeconomic models of optimal price setting that nest these price adjustment frictions, however, have proven to be difficult to construct and apply to the data. This paper provides a rational expectations equilibrium model of optimal price setting that is solved numerically. The solution requires the speciÞcation and estimation of a price forecast rule. The structural parameters of the model, focusing on the parameters of the price adjustment cost process, are estimated through an indirect inference procedure using aggregate data from the U.S. economy. According to the estimated results, large and variable adjustment costs are required for the model to match up against U.S. data. This paper is a revised version of the third chapter of my Ph.D. dissertation. I would like to thank Russell Cooper, Simon Gilchrist, John Leahy, and Chris House for their valuable comments. The views expressed herein are solely those of the author and do not necessarily reßect the views of the Federal

Jonathan L. Willis

2000-01-01T23:59:59.000Z

279

Insights into Industrial Energy Auditing from the EADC Program: An Academic Perspective  

E-Print Network (OSTI)

Energy auditing as a tool for energy conservation is discussed using insights gained from data gathered from the DOE EADC program over a ten year period. Details about the contents of the database, procedures for it access and sample "products" are presented. It is shown that careful analysis of the data can provide answers to difficult questions which support general notions in some cases and differ significantly in others.

Muller, M. R.; Polomski, P. P.

1993-03-01T23:59:59.000Z

280

Cross-sector policy research: insights from the UK energy and transport sectors  

E-Print Network (OSTI)

-Cross-Sector Policy Research: Insights from the UK energy and transport sectors Stephen Robert Peake Darwin College, Cambridge UNIVERSITY I ltBRARY J CAMBRIDGE A dissertation submitted to the University of Cambridge for the Degree of Doctor... which led to the subsequent development of a more explicit structural analogy between the two sectors. Chapter 4 reflects the exploratory analysis which resulted in the identification of three specific comparative themes which are .J' developed...

Peake, Stephen Robert

1993-10-26T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Pyrolysis mechanisms of lignin model compounds  

DOE Green Energy (OSTI)

The flash vacuum pyrolysis of lignin model compounds was studied under conditions optimized for the production of liquid products to provide mechanistic insight into the reaction pathways that lead to product formation. The major reaction products can be explained by cleavage of the C-O either linkage by a free radial or concerted 1,2-elimination.

Britt, P.F.; Buchanan, A.C. III; Cooney, M.J.

1997-06-01T23:59:59.000Z

282

Integrated Assessment Modeling  

Science Conference Proceedings (OSTI)

This paper discusses the role of Integrated Assessment models (IAMs) in climate change research. IAMs are an interdisciplinary research platform, which constitutes a consistent scientific framework in which the large-scale interactions between human and natural Earth systems can be examined. In so doing, IAMs provide insights that would otherwise be unavailable from traditional single-discipline research. By providing a broader view of the issue, IAMs constitute an important tool for decision support. IAMs are also a home of human Earth system research and provide natural Earth system scientists information about the nature of human intervention in global biogeophysical and geochemical processes.

Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Janetos, Anthony C.; Kim, Son H.; Wise, Marshall A.; McJeon, Haewon C.

2012-10-31T23:59:59.000Z

283

Évaluation des dimensions cognitives de l'insight auprès d'individus souffrant d'un trouble obsessionnel-compulsif.  

E-Print Network (OSTI)

??Il est convenu que l'individu souffre d'un trouble obsessionnel-compulsif (TOC) avec faible insight lorsqu'il ne reconnaît pas, à un moment durant l'évolution de son trouble,… (more)

Grenier, Sébastien

2007-01-01T23:59:59.000Z

284

Nonlinear field theory with topological solitons: Skyrme models  

E-Print Network (OSTI)

In this talk, we give new insight into one of the best-known nonlinear field theories, the Skyrme model. We present some exact relevant solutions coming from different new versions (gauged BPS baby as well as vector BPS Skyrme models) giving rise to topological solitons, and highlighting the BPS character of the theory.

Adam, C; Sanchez-Guillen, J; Wereszczynski, A

2013-01-01T23:59:59.000Z

285

Macroeconomic Analysis of Malware Vaibhav Garg, L. Jean Camp  

E-Print Network (OSTI)

can instead leverage public-private partnerships; for example, the German anti-botnet initiative where

Camp, L. Jean

286

Emergent Macroeconomics An Agent-Based Approach to Business Fluctuations  

E-Print Network (OSTI)

________________________________________________________________________ DOMENICO DELLI GATTI ­ Catholic University of Milan, Italy EDOARDO GAFFEO ­ University of Trento, Italy MAURO GALLEGATI ­ Università Politecnica delle Marche, Ancona, Italy GIANFRANCO GIULIONI ­ University "G. D'Annunzio", Pescara, Italy ANTONIO PALESTRINI ­ University of Teramo, Italy August 2006 #12;To

Tesfatsion, Leigh

287

Labor Market Frictions, Interest Rates, and Macroeconomic Policies  

E-Print Network (OSTI)

endogenous separation rate increases, that is the ?ow intoinduces higher real interest rate, increases the demand forendogenous separation rate increases. We assume match-speci?

Zhang, Ji

288

Revolution and Evolution in Twentieth-Century Macroeconomics Michael Woodford  

E-Print Network (OSTI)

, chain of causation with a complexity to rival a Rube Goldberg cartoon. They were intended to render

Tesfatsion, Leigh

289

Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks  

E-Print Network (OSTI)

, as director of the National Economic Council, stated that "if energy prices will trend higher, you invest one, in which global real economic activity and real oil prices share a common stochastic trend, they ...nd way; if energy prices will be lower, you invest a di¤erent way. But if you don't know what prices

Garousi, Vahid

290

Essays on the macroeconomic effects of energy price shocks.  

E-Print Network (OSTI)

??In the first chapter I study the effects of oil price shocks on economic activity at the U.S. state-level, an innovative feature of this dissertation.… (more)

Melichar, Mark Alan

2013-01-01T23:59:59.000Z

291

Globalization, Macroeconomic Performance, and the Exchange Rates of Emerging Economies  

E-Print Network (OSTI)

The Impact of Exchange Rate Movements on U.S. Foreign Debt."Performance, and the Exchange Rates of Emerging Economies*volatility, exchange-rate regimes, institutions,

Obstfeld, Maurice

2004-01-01T23:59:59.000Z

292

Essays in macroeconomics, corporate finance, and social learning  

E-Print Network (OSTI)

(cont.) the release of information until the long-term results of the firm are realized. In equilibrium, when the belief about the aggregate state is high, managers will be given short-term incentives, delaying the release ...

Hertzberg, Andrew C. P., 1974-

2004-01-01T23:59:59.000Z

293

Advanced Modeling & Simulation | Department of Energy  

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

Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches alone. Modeling and simulation has a long history with researchers and scientists exploring nuclear energy technologies. In fact, the existing fleet of currently operating reactors was licensed with computational tools that were produced or initiated in the 1970s. Researchers and scientists in

294

Prioritizing asbestos removal from various facilities using the insight II+ expert system. Research paper  

SciTech Connect

Use of the INSIGHT II+ expert system in conjunction with the Priasbes knowledge base is recommended for use by facility managers or owners faced with a few or many locations of asbestos-containing material (ACM) throughout their facilities. The Priasbes knowledge base will recommend control measures to be taken for each location of ACM and will also assign a criticality index to the ACM location. This criticality index can then be compared with that of other ACM locations to prioritize the criticality of these locations to determine which locations should be controlled first.

Disher, S.L.

1986-01-01T23:59:59.000Z

295

Comparison of Model Forecast Skill of Sea Level Pressure along the East and West Coasts of the United States  

Science Conference Proceedings (OSTI)

Despite recent advances in numerical weather prediction, major errors in short-range forecasts still occur. To gain insight into the origin and nature of model forecast errors, error frequencies and magnitudes need to be documented for different ...

Garrett B. Wedam; Lynn A. McMurdie; Clifford F. Mass

2009-06-01T23:59:59.000Z

296

The Challenges to Coupling Dynamic Geospatial Models  

SciTech Connect

Many applications of modeling spatial dynamic systems focus on a single system and a single process, ignoring the geographic and systemic context of the processes being modeled. A solution to this problem is the coupled modeling of spatial dynamic systems. Coupled modeling is challenging for both technical reasons, as well as conceptual reasons. This paper explores the benefits and challenges to coupling or linking spatial dynamic models, from loose coupling, where information transfer between models is done by hand, to tight coupling, where two (or more) models are merged as one. To illustrate the challenges, a coupled model of Urbanization and Wildfire Risk is presented. This model, called Vesta, was applied to the Santa Barbara, California region (using real geospatial data), where Urbanization and Wildfires occur and recur, respectively. The preliminary results of the model coupling illustrate that coupled modeling can lead to insight into the consequences of processes acting on their own.

Goldstein, N

2006-06-23T23:59:59.000Z

297

The Structure of Ions near Carbon Nanotubes: New Insights into Carbon  

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

The Structure of Ions near Carbon Nanotubes: New Insights into The Structure of Ions near Carbon Nanotubes: New Insights into Carbon Surface Chemistry and Implications for Water Purification Carbon-based materials have long been used for a variety of water purification operations. Researchers have investigated carbon materials as adsorbents for decades, but only limited information on the precise details of aqueous ion interactions with carbon surfaces has been uncovered. It is empirically known that the affinity of activated carbon for various hydrated ions depends critically on how the material is processed. Processing influences the types of chemical groups and the structure of the carbon surface, which in turn influences the strength of interaction between hydrated ions and the carbon surface. It is also believed that many of the puzzling properties of impurity-free carbon, such as ferromagnetism, are governed by specific modifications of the carbon surface. However, very little is known about the local structure of the carbon surface that is responsible for its aqueous ion affinity.

298

Structural Insight into the Regulation of the SNARE Assembly by the Cell  

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

Insight into the Regulation of Insight into the Regulation of the SNARE Assembly by the Cell Polarity Protein Sro7 The cells that comprise many tissues are polarized, meaning that they have distinct 'sides' with different membrane identities. For example, in the cells that line the intestine, the membrane that faces the space in the gut has special proteins responsible for uptake of nutrients, whereas the sides that contact neighboring cells have different proteins on their surfaces. Cell polarity is fundamental to many aspects of cell and developmental biology and it is implicated in differentiation, proliferation and morphogenesis in both unicellular and multi-cellular organisms. Loss of cell polarity can lead to uncontrolled tissue growth and cancers. To generate and maintain this polarized structure, specific proteins and lipids must be delivered to particular locations on the cell membrane. This process involves active transport of membrane-enclosed vesicles containing specific cargo to a target site, where the vesicle and target membranes then fuse to deliver the cargo. Soluble N-ethylmaleimide-sensitive factor activating protein receptor (SNARE) proteins in the vesicle membrane and target membrane form a complex that mediates membrane fusion. The process by which SNARE-mediated membrane fusion is coordinated with the machinery that transports the vesicle to the correct location is poorly understood.

299

Development of Sulfur and Carbon Tolerant Reforming Alloy Catalysts Aided by Fundamental Atomistics Insights  

SciTech Connect

Current hydrocarbon reforming catalysts suffer from rapid carbon and sulfur poisoning. Even though there is a tremendous incentive to develop more efficient catalysts, these materials are currently formulated using inefficient trial and error experimental approaches. We have utilized a novel hybrid experimental/theoretical approach, combining quantum Density Functional Theory (DFT) calculations and various state-of-the-art experimental tools, to formulate carbon tolerant reforming catalysts. We have employed DFT calculations to develop molecular insights into the elementary chemical transformations that lead to carbon poisoning of Ni catalysts. Based on the obtained molecular insights, we have identified, using DFT quantum calculation, Sn/Ni alloy as a potential carbon tolerant reforming catalyst. Sn/Ni alloy was synthesized and tested in steam reforming of methane, propane, and isooctane. We demonstrated that the alloy catalyst is carbon-tolerant under nearly stoichiometric steam-to-carbon ratios. Under these conditions, monometallic Ni is rapidly poisoned by sp2 carbon deposits. The research approach is distinguished by a few characteristics: (a) Knowledge-based, bottom-up approach, compared to the traditional trial and error approach, allows for a more efficient and systematic discovery of improved catalysts. (b) The focus is on exploring alloy materials which have been largely unexplored as potential reforming catalysts.

Suljo Linic

2006-08-31T23:59:59.000Z

300

Development of Sulfur and Carbon Tolerant Reforming Alloy Catalysts Aided Fundamental Atomistic Insights  

SciTech Connect

Current hydrocarbon reforming catalysts suffer from rapid carbon and sulfur poisoning. Even though there is a tremendous incentive to develop more efficient catalysts, these materials are currently formulated using inefficient trial and error experimental approaches. We have utilized a hybrid experimental/theoretical approach, combining quantum Density Functional Theory (DFT) calculations and various state-of-the-art experimental tools, to formulate carbon tolerant reforming catalysts. We have employed DFT calculations to develop molecular insights into the elementary chemical transformations that lead to carbon poisoning of Ni catalysts. Based on the obtained molecular insights, we have identified, using DFT quantum calculation, various Ni alloy catalysts as potential carbon tolerant reforming catalysts. The alloy catalysts were synthesized and tested in steam reforming and partial oxidation of methane, propane, and isooctane. We demonstrated that the alloy catalysts are much more carbon-tolerant than monometallic Ni catalysts under nearly stoichiometric steam-to-carbon ratios. Under these conditions, monometallic Ni is rapidly poisoned by sp2 carbon deposits. The research approach is distinguished by two characteristics: (a) knowledge-based, bottomup approach, compared to the traditional trial and error approach, allows for a more efficient and systematic discovery of improved catalysts. (b) the focus is on exploring alloy materials which have been largely unexplored as potential reforming catalysts.

Suljo Linic

2008-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Revisiting Insights from Three Mile Island Unit 2 Postaccident Examinations and Evaluations in View of the Fukushima Daiichi Accident  

Science Conference Proceedings (OSTI)

The Three Mile Island Unit 2 (TMI-2) accident, which occurred on March 28, 1979, led industry and regulators to enhance strategies to protect against severe accidents in commercial nuclear power plants. Investigations in the years after the accident concluded that at least 45% of the core had melted and that nearly 19 tonnes of the core material had relocated to the lower head. Postaccident examinations indicate that about half of that material formed a solid layer near the lower head and above it was a layer of fragmented rubble. As discussed in this paper, numerous insights related to pressurized water reactor accident progression were gained from postaccident evaluations of debris, reactor pressure vessel (RPV) specimens, and nozzles taken from the RPV. In addition, information gleaned from TMI-2 specimen evaluations and available data from plant instrumentation were used to improve severe accident simulation models that form the technical basis for reactor safety evaluations. Finally, the TMI-2 accident led the nuclear community to dedicate considerable effort toward understanding severe accident phenomenology as well as the potential for containment failure. Because available data suggest that significant amounts of fuel heated to temperatures near melting, the events at Fukushima Daiichi Units 1, 2, and 3 offer an unexpected opportunity to gain similar understanding about boiling water reactor accident progression. To increase the international benefit from such an endeavor, we recommend that an international effort be initiated to (a) prioritize data needs; (b) identify techniques, samples, and sample evaluations needed to address each information need; and (c) help finance acquisition of the required data and conduct of the analyses.

Joy Rempe; Mitchell Farmer; Michael Corradini; Larry Ott; Randall Gauntt; Dana Powers

2012-11-01T23:59:59.000Z

302

INSIGHTS INTO PRE-ENRICHMENT OF STAR CLUSTERS AND SELF-ENRICHMENT OF DWARF GALAXIES FROM THEIR INTRINSIC METALLICITY DISPERSIONS  

SciTech Connect

Star clusters are known to have smaller intrinsic metallicity spreads than dwarf galaxies due to their shorter star formation timescales. Here we use individual spectroscopic [Fe/H] measurements of stars in 19 Local Group dwarf galaxies, 13 Galactic open clusters, and 49 globular clusters to show that star cluster and dwarf galaxy linear metallicity distributions are binomial in form, with all objects showing strong correlations between their mean linear metallicity Z-bar and intrinsic spread in metallicity {sigma}(Z){sup 2}. A plot of {sigma}(Z){sup 2} versus Z-bar shows that the correlated relationships are offset for the dwarf galaxies from the star clusters. The common binomial nature of these linear metallicity distributions can be explained with a simple inhomogeneous chemical evolution model, where the star cluster and dwarf galaxy behavior in the {sigma}(Z){sup 2}- Z-bar diagram is reproduced in terms of the number of enrichment events, covering fraction, and intrinsic size of the enriched regions. The inhomogeneity of the self-enrichment sets the slope for the observed dwarf galaxy {sigma}(Z){sup 2}- Z-bar correlation. The offset of the star cluster sequence from that of the dwarf galaxies is due to pre-enrichment, and the slope of the star cluster sequence represents the remnant signature of the self-enriched history of their host galaxies. The offset can be used to separate star clusters from dwarf galaxies without a priori knowledge of their luminosity or dynamical mass. The application of the inhomogeneous model to the {sigma}(Z){sup 2}- Z-bar relationship provides a numerical formalism to connect the self-enrichment and pre-enrichment between star clusters and dwarf galaxies using physically motivated chemical enrichment parameters. Therefore we suggest that the {sigma}(Z){sup 2}- Z-bar relationship can provide insight into what drives the efficiency of star formation and chemical evolution in galaxies, and is an important prediction for galaxy simulation models to reproduce.

Leaman, Ryan, E-mail: rleaman@uvic.ca [Department of Physics and Astronomy, University of Victoria, Victoria, BC V8P 1A1 (Canada)

2012-12-01T23:59:59.000Z

303

A random walk approach to modeling the dynamics of the blogosphere  

Science Conference Proceedings (OSTI)

It is important to develop intuitive and tractable generative models to simulate the topological and temporal dynamics of the blogosphere because these models provide insights about its structural evolution. In such generative models, independent instances ... Keywords: blogosphere, network science, random walks

Muhammad Zubair Shafiq; Alex X. Liu

2011-05-01T23:59:59.000Z

304

Genetic programming model of solid oxide fuel cell stack: first results  

Science Conference Proceedings (OSTI)

Models that predict performance are important tools in understanding and designing solid oxide fuel cells (SOFCs). Modelling of SOFC stack-based systems is a powerful approach that can provide useful insights into the nonlinear dynamics of ... Keywords: SOFC stack, genetic programming, modelling, nonlinear dynamics, simulation, solid oxide fuel cells

Uday K. Chakraborty

2008-03-01T23:59:59.000Z

305

Quantifying Uncertainty in Epidemiological Models  

SciTech Connect

Modern epidemiology has made use of a number of mathematical models, including ordinary differential equation (ODE) based models and agent based models (ABMs) to describe the dynamics of how a disease may spread within a population and enable the rational design of strategies for intervention that effectively contain the spread of the disease. Although such predictions are of fundamental importance in preventing the next global pandemic, there is a significant gap in trusting the outcomes/predictions solely based on such models. Hence, there is a need to develop approaches such that mathematical models can be calibrated against historical data. In addition, there is a need to develop rigorous uncertainty quantification approaches that can provide insights into when a model will fail and characterize the confidence in the (possibly multiple) model outcomes/predictions, when such retrospective analysis cannot be performed. In this paper, we outline an approach to develop uncertainty quantification approaches for epidemiological models using formal methods and model checking. By specifying the outcomes expected from a model in a suitable spatio-temporal logic, we use probabilistic model checking methods to quantify the probability with which the epidemiological model satisfies the specification. We argue that statistical model checking methods can solve the uncertainty quantification problem for complex epidemiological models.

Ramanathan, Arvind [ORNL; Jha, Sumit Kumar [University of Central Florida

2012-01-01T23:59:59.000Z

306

Modelling the chemical evolution  

E-Print Network (OSTI)

Advanced observational facilities allow to trace back the chemical evolution of the Universe, on the one hand, from local objects of different ages and, secondly, by direct observations of redshifted objects. The chemical enrichment serves as one of the cornerstones of cosmological evolution. In order to understand this chemical evolution in morphologically different astrophysical objects models are constructed based on analytical descriptions or numerical methods. For the comparison of their chemical issues, as there are element abundances, gradients, and ratios, with observations not only the present-day values are used but also their temporal evolution from the first era of metal enrichment. Here we will provide some insight into basics of chemical evolution models, highlight advancements, and discuss a few applications.

Hensler, Gerhard

2010-01-01T23:59:59.000Z

307

Mobilizing Public Markets to Finance Renewable Energy Projects: Insights from Expert Stakeholders  

SciTech Connect

Financing renewable energy projects in the United States can be a complex process. Most equity investment in new renewable power production facilities is supported by tax credits and accelerated depreciation benefits, and is constrained by the pool of potential investors that can fully use these tax benefits and are willing to engage in complex financial structures. For debt financing, non-government lending has largely been provided by foreign banks that may be under future lending constraints due to economic and regulatory conditions. To discuss renewable energy financing challenges and to identify new sources of capital to the U.S. market, two roundtable discussions were held with renewable energy and financing experts in April 2012. This report summarizes the key messages of those discussions and is designed to provide insights to the U.S. market and inform the international conversation on renewable energy financing innovations.

Schwabe, P.; Mendelsohn, M.; Mormann, F.; Arent, D. J.

2012-06-01T23:59:59.000Z

308

Development of Integrated Motor Assist Hybrid System: Development of the 'Insight', a Personal Hybrid Coupe  

DOE Green Energy (OSTI)

This paper presents the technical approach used to design and develop the powerplant for the Honda Insight, a new motor assist hybrid vehicle with an overall development objective of just half the fuel consumption of the current Civic over a wide range of driving conditions. Fuel consumption of 35km/L (Japanese 10-15 mode), and 3.4L/100km (98/69/EC) was realized. To achieve this, a new Integrated Motor Assist (IMA) hybrid power plant system was developed, incorporating many new technologies for packaging and integrating the motor assist system and for improving engine thermal efficiency. This was developed in combination with a new lightweight aluminum body with low aerodynamic resistance. Environmental performance goals also included the simultaneous achievement of low emissions (half the Japanese year 2000 standards, and half the EU2000 standards), high efficiency, and recyclability. Full consideration was also given to key consumer attributes, including crash safety performance, handling, and driving performance.

Kaoru Aoki; Shigetaka Kuroda; Shigemasa Kajiwara; Hiromitsu Sato; Yoshio Yamamoto

2000-06-19T23:59:59.000Z

309

2010 Honda Insight VIN 0141 Hybrid Electric Vehicle Battery Test Results  

SciTech Connect

The U.S. Department of Energy Advanced Vehicle Testing Activity Program consists of vehicle, battery, and infrastructure testing on advanced technology related to transportation. The activity includes tests on hybrid electric vehicles (HEVs), including testing the HEV batteries when both the vehicles and batteries are new and at the conclusion of 160,000 miles of on road fleet testing. This report documents battery testing performed for the 2010 Honda Insight HEV (VIN: JHMZE2H78AS010141). Battery testing was performed by the Electric Transportation Engineering Corporation dba ECOtality North America. The Idaho National Laboratory and ECOtality North America collaborate on the Advanced Vehicle Testing Activity for the Vehicle Technologies Program of the U.S. Department of Energy.

Tyler Gray

2013-01-01T23:59:59.000Z

310

2010 Honda Insight VIN 1748 Hybrid Electric Vehicle Battery Test Results  

SciTech Connect

The U.S. Department of Energy Advanced Vehicle Testing Activity Program consists of vehicle, battery, and infrastructure testing on advanced technology related to transportation. The activity includes tests on hybrid electric vehicles (HEVs), including testing the HEV batteries when both the vehicles and batteries are new and at the conclusion of 160,000 miles of on road fleet testing. This report documents battery testing performed for the 2010 Honda Insight HEV (VIN: JHMZE2H59AS011748). Battery testing was performed by the Electric Transportation Engineering Corporation dba ECOtality North America. The Idaho National Laboratory and ECOtality North America collaborate on the Advanced Vehicle Testing Activity for the Vehicle Technologies Program of the U.S. Department of Energy.

Tyler Gray; Matthew Shirk

2013-01-01T23:59:59.000Z

311

The effects of gas-fluid-rock interactions on CO2 injection and storage: Insights from reactive transport modeling  

E-Print Network (OSTI)

fruitful discussions with ExxonMobil colleagues Will Maze,manuscript. Permission by ExxonMobil to release the paper isKarsten Pruess b a b ExxonMobil Upstream Research Company,

Xu, T.

2009-01-01T23:59:59.000Z

312

Insights from a Simple Hotelling Model of the World Oil Market C.-Y. Cynthia Lina1  

E-Print Network (OSTI)

& Resource Economics, University of California at Davis, One Shields Avenue, Davis, CA 95616 USA; cclin are generated for various specifications of the elasticity of demand for both isoelastic demand and linear demand under each of two possible market structures: perfect competition and monopoly. Prior to the 1973

Lin, C.-Y. Cynthia

313

Low-latitude Western North Atlantic climate variability during the past millennium : insights from proxies and models  

E-Print Network (OSTI)

Estimates of natural climate variability during the past millennium provide a frame of reference in which to assess the significance of recent changes. This thesis investigates new methods of reconstructing low-latitude ...

Saenger, Casey Pearce

2009-01-01T23:59:59.000Z

314

Insights into formation of semiconductor nanocrystals : from first principles calculations to kinetic models of nucleation and growth  

E-Print Network (OSTI)

Over the past decade the synthesis of colloidal semiconductor nanocrystals of diverse shapes and sizes has sparked tremendous interest in both the industrial and scientific communities. Much of the work thus far has been ...

Rempel, Jane Yevgeniya

2008-01-01T23:59:59.000Z

315

Permeability decrease in argillaceous sandstone; experiments and modelling  

Science Conference Proceedings (OSTI)

Core flooding experiments on argillaceous sandstone are carried out showing that for high injection flow rates permeability reduction occurs. The decrease of permeability is a consequence of the migration of insitu particles. Two models are used to simulate the observed phenomena. The so-called network model is able to give insight in the physics behind the particle migration. The other model based on mass balance and constitutive laws is used for quantitative and qualitative comparison with the experiments.

Egberts, Paul; van Soest, Lennard; Vernoux, Jean-Francois

1996-01-24T23:59:59.000Z

316

Modeling tumor growth and irradiation response in vitro-a combination of high-performance computing and Web-based technologies including VRML visualization  

Science Conference Proceedings (OSTI)

A simplified three-dimensional Monte Carlo simulation model of in vitro tumor growth and response to fractionated radiotherapeutic schemes is presented in this paper. The paper aims at both the optimization of radiotherapy and the provision of insight ...

G. S. Starnatakos; E. I. Zacharaki; M. Makropoulou; N. A. Mouravliansky; A. Marsh; K. S. Nikita; N. K. Uzunoglu

2001-12-01T23:59:59.000Z

317

Biofuel-Food Market Interactions:A Review of Modeling Approaches and Findings  

Science Conference Proceedings (OSTI)

The interaction between biofuels and food markets remains a policy issue for a number of reasons. There is a continuing need to understand the role of biofuels in the recent spikes in global food prices. Also, there is an ongoing discussion of changes to biofuel policy as a means to cope with severe weather-induced crop losses. Lastly, there are potential interactions between food markets and advanced biofuels, although most of the latter are expected to be produced from non-food feedstocks. This study reviews the existing literature on the food market impacts of biofuels. Findings suggest that initial conclusions attributing most of the spike in global food prices between 2005 and 2008 to biofuels have been revised. Instead, a multitude of factors, in addition to biofuels, converged during the period. Quantitative estimates of the impacts of biofuels on food markets vary significantly due to differences in modeling approaches, geographical scope, and assumptions about a number of crucial factors. In addition, many studies do not adequately account for the effects of macroeconomic changes, adverse weather conditions and direct market interventions during the recent food price spikes when evaluating the role of biofuels.

Oladosu, Gbadebo A [ORNL; Msangi, Siwa [International Food and Policy Research Institute (IFPRI)

2013-01-01T23:59:59.000Z

318

Chemical Kinetic Modeling of Advanced Transportation Fuels  

DOE Green Energy (OSTI)

Development of detailed chemical kinetic models for advanced petroleum-based and nonpetroleum based fuels is a difficult challenge because of the hundreds to thousands of different components in these fuels and because some of these fuels contain components that have not been considered in the past. It is important to develop detailed chemical kinetic models for these fuels since the models can be put into engine simulation codes used for optimizing engine design for maximum efficiency and minimal pollutant emissions. For example, these chemistry-enabled engine codes can be used to optimize combustion chamber shape and fuel injection timing. They also allow insight into how the composition of advanced petroleum-based and non-petroleum based fuels affect engine performance characteristics. Additionally, chemical kinetic models can be used separately to interpret important in-cylinder experimental data and gain insight into advanced engine combustion processes such as HCCI and lean burn engines. The objectives are: (1) Develop detailed chemical kinetic reaction models for components of advanced petroleum-based and non-petroleum based fuels. These fuels models include components from vegetable-oil-derived biodiesel, oil-sand derived fuel, alcohol fuels and other advanced bio-based and alternative fuels. (2) Develop detailed chemical kinetic reaction models for mixtures of non-petroleum and petroleum-based components to represent real fuels and lead to efficient reduced combustion models needed for engine modeling codes. (3) Characterize the role of fuel composition on efficiency and pollutant emissions from practical automotive engines.

PItz, W J; Westbrook, C K; Herbinet, O

2009-01-20T23:59:59.000Z

319

Hydration, Swelling, Interlayer Structure, and Hydrogen Bonding in Organolayered Double Hydroxides: Insights from Molecular Dynamics Simulation of Citrate-Intercalated  

E-Print Network (OSTI)

citrate, C6H5O7 3- , as the charge balancing interlayer anion provides new molecular scale insight hydration levels, in contrast to the preferred low hydration states of most LDHs intercalated with small. Introduction Layered double hydroxides (LDHs), also known as hydro- talcite-like compounds, form an important

Kalinichev, Andrey G.

320

Wind of change: new insights on the ecology and evolution of pollination and mating in wind-pollinated plants  

E-Print Network (OSTI)

REVIEW Wind of change: new insights on the ecology and evolution of pollination and mating in wind- pollinated plants. At least 10 % of angiosperms are wind pollinated, and this mode of pollination has evolved. Here, the evolution and functional ecology of pollination and mating in wind-pollinated plants

Barrett, Spencer C.H.

Note: This page contains sample records for the topic "insight 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

One-Dimensional Barrier-Preserving Free-Energy Projections of a -sheet Miniprotein: New Insights into the Folding Process  

E-Print Network (OSTI)

One-Dimensional Barrier-Preserving Free-Energy Projections of a -sheet Miniprotein: New Insights simulations for a total of 20 µs. The resulting one-dimensional free-energy profiles (FEPs) provide a detailed description of the free-energy basins and barriers for the folding reaction. The similarity of the FEPs

Caflisch, Amedeo

322

Firm Size and Industry Structure Under Human Capital Intensity: Insights from the Evolution of the Global Advertising Industry  

Science Conference Proceedings (OSTI)

Although existing literature assumes that the human capital intensity of professional services leads to small and flimsy firms, several professional services feature large, long-lived firms. To develop insights about firm size and industry structure ... Keywords: advertising agencies, financial intermediation, human capital, industry evolution, industry structure, professional services, vertical differentiation

Andrew von Nordenflycht

2011-01-01T23:59:59.000Z

323

Insights into Stress Corrosion Cracking Mechanisms from High-Resolution Measurements of Crack-Tip Structures and Compositions  

SciTech Connect

The fundamental basis for mechanistic understanding and modeling of SCC remains in question for many systems. Specific mechanisms controlling SCC can vary with changes in alloy characteristics, applied/residual stress or environmental conditions. The local crack electrochemistry, crack-tip mechanics and material metallurgy are the main factors controlling crack growth. These localized properties are difficult or impossible to measure in active cracks. Nevertheless, it is essential to quantitatively interrogate these crack-tip conditions if mechanistic understanding is to be obtained. A major recent advance has been the ability to investigate SCC cracks and crack tips using high-resolution ATEM techniques. ATEM enables the characterization of SCC cracks including trapped tip solution chemistries, corrosion product/film compositions and structures, and elemental composition gradients and defect microstructures along the crack walls and at the crack tip. A wide variety of methods for imaging and analyses at resolutions down to the atomic level can be used to examine the crack and corrosion film characteristics. Surface films and reaction layers have been examined by cross-sectional TEM techniques, but little work had been conducted on environmentally induced internal cracks until that of Lewis and co-workers [1-3] and the current authors [4-17]. This capability combined with modern ATEM techniques has enabled exciting new insights into corrosion processes occurring at buried interfaces and is being used to identify mechanisms controlling IGSCC in boiling water reactor (BWR) and pressurized water reactor (PWR) components. The objective of this paper is to summarize certain results focused on IGSCC of Fe- base and Ni-base stainless alloys in high-temperature water environments. Representative crack-tip examples will be shown to illustrate specific aspects that are characteristic of SCC in the material/environment combinations. Differences and similarities in crack-tip structures- chemistries will be highlighted comparing Fe-base 316/304SS to Ni-base alloy 600/182 and for tests in oxidizing versus hydrogenated water environments.

Bruemmer, Stephen M.; Thomas, Larry E.

2010-04-05T23:59:59.000Z

324

UNDERSTANDING SDO/AIA OBSERVATIONS OF THE 2010 JUNE 13 EUV WAVE EVENT: DIRECT INSIGHT FROM A GLOBAL THERMODYNAMIC MHD SIMULATION  

Science Conference Proceedings (OSTI)

In this work, we present a comprehensive observation and modeling analysis of the 2010 June 13 extreme-ultraviolet (EUV) wave observed by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO). Due to extreme advances in cadence, resolution, and bandpass coverage in the EUV regime, the AIA instrument offers an unprecedented ability to observe the dynamics of large-scale coronal wave-like transients known as EUV waves. To provide a physical analysis and further complement observational insight, we conduct a three-dimensional, time-dependent thermodynamic MHD simulation of the eruption and associated EUV wave, and employ forward modeling of EUV observables to compare the results directly observations. We focus on two main aspects: (1) the interpretation of the stark thermodynamic signatures in the multi-filter AIA data within the propagating EUV wave front, and (2) an in-depth analysis of the simulation results and their implication with respect to EUV wave theories. Multiple aspects, including the relative phases of perturbed variables, suggest that the outer, propagating component of the EUV transient exhibits the behavior of a fast-mode wave. We also find that this component becomes decoupled from the evolving structures associated with the coronal mass ejection that are also visible, providing a clear distinction between wave and non-wave mechanisms at play.

Downs, Cooper; Roussev, Ilia I.; Lugaz, Noe [Institute for Astronomy, University of Hawaii, at Manoa, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Van der Holst, Bart; Sokolov, Igor V., E-mail: cdowns@ifa.hawaii.edu [Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, 2455 Hayward St., Ann Arbor, MI 48109 (United States)

2012-05-10T23:59:59.000Z

325

Sensitivity of Arctic Climate Variability to Mean State: Insights from the Cretaceous  

Science Conference Proceedings (OSTI)

This study investigates Arctic climate variability during a period of extreme warmth using the Community Climate System Model, version 3 (CCSM3) coupled ocean–atmosphere general circulation model. Four mid-Cretaceous simulations were completed ...

Christopher J. Poulsen; Jing Zhou

2013-09-01T23:59:59.000Z

326

Transferability Intercomparison: An Opportunity for New Insight on the Global Water Cycle and Energy Budget  

Science Conference Proceedings (OSTI)

A new approach, called transferability intercomparisons, is described for advancing both understanding and modeling of the global water cycle and energy budget. Under this approach, individual regional climate models perform simulations with all ...

E. S. Takle; W. J. Gutowski Jr.; R. W. Arritt; J. Roads; I. Meinke; B. Rockel; C. G. Jones; A. Zadra

2007-03-01T23:59:59.000Z

327

Section 1603 Treasury Grant Expiration: Industry Insight on Financing and Market Implications  

SciTech Connect

In the wake of the 2008-2009 financial crises, tax equity investors largely withdrew from the market, resulting in stagnation of project development. In response, Congress established the Treasury grant program pursuant to Section 1603 of the American Recovery and Reinvestment Act (..Section..1603 Program) to offer a cash payment in lieu of a production and investment tax credit. This study addresses the likely project financing and market impacts from the expiration of the ..Section..1603 Program. The authors assembled an array of insights offered by financial executives active in the renewable energy (RE) market during conference panel discussions and in presentations, direct interviews, and email correspondences. This analysis found that the ..Section..1603 Program alleviated the need to monetize the tax credit incentives through specialized investors, helped lower the transaction and financing costs associated with renewable electricity projects, and generally supported an extensive build-out of renewable power generation capacity. With the expiration of the ..Section..1603 Program, smaller or less-established renewable power developers will have more difficulty attracting needed financial capital and completing their projects, development of projects relying on newer or 'innovative' technologies will likely slow as traditional tax equity investors are known to be highly averse to technology risk in the projects they fund, and, finally, projects relying on tax equity may be more expensive to develop due to higher transaction costs and potentially higher yields required to attract tax equity.

Mendelsohn, M.; Harper, J.

2012-06-01T23:59:59.000Z

328

Insights From Laboratory Experiments On Simulated Faults With Application To Fracture Evolution In Geothermal Systems  

Science Conference Proceedings (OSTI)

Laboratory experiments provide a wealth of information related to mechanics of fracture initiation, fracture propagation processes, factors influencing fault strength, and spatio-temporal evolution of fracture properties. Much of the existing literature reports on laboratory studies involving a coupling of thermal, hydraulic, mechanical, and/or chemical processes. As these processes operate within subsurface environments exploited for their energy resource, laboratory results provide insights into factors influencing the mechanical and hydraulic properties of geothermal systems. I report on laboratory observations of strength and fluid transport properties during deformation of simulated faults. The results show systematic trends that vary with stress state, deformation rate, thermal conditions, fluid content, and rock composition. When related to geophysical and geologic measurements obtained from engineered geothermal systems (e.g. microseismicity, wellbore studies, tracer analysis), laboratory results provide a means by which the evolving thermal reservoir can be interpreted in terms of physico-chemical processes. For example, estimates of energy release and microearthquake locations from seismic moment tensor analysis can be related to strength variations observed from friction experiments. Such correlations between laboratory and field data allow for better interpretations about the evolving mechanical and fluid transport properties in the geothermal reservoir – ultimately leading to improvements in managing the resource.

Stephen L. Karner, Ph.D

2006-06-01T23:59:59.000Z

329

An Insight into the Pharmacophores of Phosphodiesterase-5 Inhibitors from Synthetic and Crystal Structural Studies  

DOE Green Energy (OSTI)

Selective inhibitors of cyclic nucleotide phosphodiesterase-5 (PDE5) have been used as drugs for treatment of male erectile dysfunction and pulmonary hypertension. An insight into the pharmacophores of PDE5 inhibitors is essential for development of second generation of PDE5 inhibitors, but has not been completely illustrated. Here we report the synthesis of a new class of the sildenafil derivatives and a crystal structure of the PDE5 catalytic domain in complex with 5-(2-ethoxy-5-(sulfamoyl)-3-thienyl)-1-methyl-3-propyl-1, 6-dihydro-7H-pyrazolo[4, 3-d]pyrimidin-7-one (12). Inhibitor 12 induces conformational change of the H-loop (residues 660-683), which is different from any of the known PDE5 structures. The pyrazolopyrimidinone groups of 12 and sildenafil are well superimposed, but their sulfonamide groups show a positional difference of as much as 1.5 Angstroms . The structure-activity analysis suggests that a small hydrophobic pocket and the H-loop of PDE5 are important for the inhibitor affinity, in addition to two common elements for binding of almost all the PDE inhibitors: the stack against the phenylalanine and the hydrogen bond with the invariant glutamine. However, the PDE5-12 structure does not provide a full explanation to affinity changes of the inhibitors. Thus alternatives such as conformational change of the M-loop are open and further structural study is required.

Chen,G.; Wang, H.; Robinson, H.; Cai, J.; Wan, Y.; Ke, H.

2008-01-01T23:59:59.000Z

330

SUBJECT: Insights and Implications of Steam Generator Operating, Inspecting and Maintenance Experience  

E-Print Network (OSTI)

The steam generator tube failure event at Indian Point Unit 2 and the potential issues surrounding the in-situ pressure testing of selected tubes and test specimens at Arkansas Nuclear One Unit 2, prompted industry to evaluate its generic steam generator guidelines, plant experiences, and insights gained from the periodic steam generator program review visits conducted by the Institute of Nuclear Power Operations (INPO). The purpose of this letter is to share with the NRC staff the industry conclusions and actions taken. As the NRC staff is well aware, the operation, inspection, and maintenance of steam generators are a high industry priority. Given the critical role of the steam generator in providing safe, reliable, and economic power production, steam generator performance has received broad industry attention for years. Generic industry activities, managed by EPRI, have been underway continuously since 1978. NRC staff is familiar with those efforts based on past briefings on the activities of the EPRI Steam Generator Management Program (SGMP) and attendance at selected SGMP workshops. More recently, other industry support organizations, such as NEI, INPO, and NSSS Owners Groups, have played important roles as well. Industry data indicates continual improvement in steam generator performance since the initiation of these efforts.

David J. Modeen; Dr. Brian; W. Sheron

2000-01-01T23:59:59.000Z

331

A next-generation modeling capability assesses wind turbine array fluid dynamics and aeroelastic simulations  

E-Print Network (OSTI)

A next-generation modeling capability assesses wind turbine array fluid dynamics and aeroelastic conditions with turbine models covering the range of scales important for wind plant dynamics to help address the impacts that upwind turbines have on turbines in their wake and give greater insight into overall wind

332

Evaluation of a Simple Numerical Model as a Mesoscale Weather Forecasting Tool  

Science Conference Proceedings (OSTI)

During the America's Cup race series of 1986–1987, a numerical sea breeze model was used to assist offshore forecasts. The exercise has provided a detailed insight into the extent to which such a model may assist the forecasting process the ...

P. J. Rye

1989-12-01T23:59:59.000Z

333

From empirical data to mathematical model: using population dynamics to characterize insurgencies  

Science Conference Proceedings (OSTI)

Understanding the nature of insurgencies is critical to determining strategies for mitigating their effects. Modeling insurgencies is one method to provide a structured methodology to gain insight into the various characteristics of insurgencies. This ... Keywords: homeland security, insurgency modeling, population dynamics, system dynamics

John A. Sokolowski; Catherine M. Banks

2007-07-01T23:59:59.000Z

334

Hybrid Electric Vehicle End-of-life Testing on Honda Insights, Honda Gen I Civics, and Toyota Gen I Priuses  

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

262 262 U.S. Department of Energy FreedomCAR & Vehicle Technologies Program Hybrid Electric Vehicle End-of-Life Testing On Honda Insights, Honda Gen I Civics and Toyota Gen I Priuses TECHNICAL REPORT James Francfort Donald Karner Ryan Harkins Joseph Tardiolo February 2006 Idaho National Laboratory Operated by Battelle Energy Alliance INL/EXT-06-01262 U.S. Department of Energy FreedomCAR & Vehicle Technologies Program Hybrid Electric Vehicle End-of-Life Testing On Honda Insights, Honda Gen I Civics and Toyota Gen I Priuses James Francfort i Donald Karner and Ryan Harkins ii Joseph Tardiolo iii February 2006 Idaho National Laboratory Transportation Technology Department Idaho Falls, Idaho 83415 Prepared for the U.S. Department of Energy

335

Insights into proton-coupled electron transfer mechanisms of electrocatalytic H2 oxidation and production  

SciTech Connect

The design of molecular electrocatalysts for H2 oxidation and production is important for the development of alternative renewable energy sources that are abundant, inexpensive, and environmentally benign. Recently nickel-based molecular electrocatalysts with pendant amines that act as proton relays for the nickel center were shown to effectively catalyze H2 oxidation and production. We developed a quantum mechanical approach for studying proton-coupled electron transfer processes in these types of molecular electrocatalysts. This theoretical approach is applied to a nickel-based catalyst in which phosphorous atoms are directly bonded to the nickel center and nitrogen atoms of the ligand rings act as proton relays. The cataly c step of interest involves electron transfer between the nickel complex and the electrode as well as intramolecular proton transfer between the nickel and nitrogen atoms. This process can occur sequentially, with either the electron or proton transferring first, or concertedly, with the electron and proton transferring simultaneously without a stable intermediate. The heterogeneous rate constants are calculated as functions of overpotential for the concerted electron-proton transfer reaction and the two electron transfer reactions in the sequential mechanisms. Our calculations illustrate that the concerted electron-proton transfer standard rate constant will increase as the equilibrium distance between the nickel and nitrogen atoms decreases and as the nitrogen atoms become more mobile to facilitate the contraction of this distance. This approach assists in the identification of the favored mechanisms under various experimental conditions and provides insight into the qualitative impact of substituents on the nitrogen and phosphorous atoms. This research was supported as part of the Center for Molecular Electrocatalysis, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under FWP 56073.

Horvath, Samantha; Fernandez, Laura; Soudackov, Alexander V.; Hammes-Schiffer, Sharon

2012-09-25T23:59:59.000Z

336

Turbulence Structure and Implications for Dispersion: Insights from Large-Eddy Simulations  

SciTech Connect

We have presented two flows where detailed knowledge of the fluid mechanics would appear to be crucial for accurate dispersion modeling. We expect that Large-eddy simulations (LES) will complement traditional dispersion modeling by providing both the ability to discern between cases where traditional models work well and cases where more complicated characterizations are necessary, and a method to investigate potentially unique flow features and turbulence structure for specific flow problems.

Calhoun, R; Cederwall, R; Street, R

1999-10-04T23:59:59.000Z

337

Induced mirror symmetry breaking via template-controlled copolymerization: theoretical insights  

E-Print Network (OSTI)

A chemical equilibrium model of template-controlled copolymerization is presented for describing the outcome of the experimental induced desymmetrization scenarios recently proposed by Lahav and coworkers.

Blanco, Celia; 10.1039/C2CC18045F

2012-01-01T23:59:59.000Z

338

Analysis of methods and models for assessing the direct and indirect economic impacts of CO/sub 2/-induced environmental changes in the agricultural sector of the US economy  

SciTech Connect

Alternative methods for quantifying the economic impacts associated with future increases in the ambient concentration of CO/sub 2/ were examined. A literature search was undertaken, both to gain a better understanding of the ways in which CO/sub 2/ buildup could affect crop growth and to identify the different methods available for assessing the impacts of CO/sub 2/-induced environmental changes on crop yields. The second task involved identifying the scope of both the direct and indirect economic impacts that could occur as a result of CO/sub 2/-induced changes in crop yields. The third task then consisted of a comprehensive literature search to identify what types of economic models could be used effectively to assess the kinds of direct and indirect economic impacts that could conceivably occur as a result of CO/sub 2/ buildup. Specific attention was focused upon national and multi-regional agricultural sector models, multi-country agricultural trade models, and macroeconomic models of the US economy. The fourth and final task of this research involved synthesizing the information gathered in the previous tasks into a systematic framework for assessing the direct and indirect economic impacts of CO/sub 2/-induced environmental changes related to agricultural production.

Callaway, J.M.

1982-08-01T23:59:59.000Z

339

Dynamic modeling of power systems  

Science Conference Proceedings (OSTI)

Morgantown Energy Technology Center`s (METC) Process and Project Engineering (P&PE) personnel continue to refine and modify dynamic modeling or simulations for advanced power systems. P&PE, supported by Gilbert/Commonwealth, Inc. (G/C), has adapted PC/TRAX commercial dynamic software to include equipment found in advanced power systems. PC/TRAX`s software contains the equations that describe the operation of standard power plant equipment such as gas turbines, feedwater pumps, and steam turbines. The METC team has incorporated customized dynamic models using Advanced Continuous Simulation Language (ACSL) code for pressurized circulating fluidized-bed combustors, carbonizers, and other components that are found in Advanced Pressurized Fluidized-Bed Combustion (APFBC) systems. A dynamic model of a commercial-size APFBC power plant was constructed in order to determine representative operating characteristics of the plant and to gain some insight into the best type of control system design. The dynamic model contains both process and control model components. This presentation covers development of a model used to describe the commercial APFBC power plant. Results of exercising the model to simulate plant performance are described and illustrated. Information gained during the APFBC study was applied to a dynamic model of a 1-1/2 generation PFBC system. Some initial results from this study are also presented.

Reed, M.; White, J.

1995-12-01T23:59:59.000Z

340

Modeling of fundamental phenomena in welds  

Science Conference Proceedings (OSTI)

Recent advances in the mathematical modeling of fundamental phenomena in welds are summarized. State-of-the-art mathematical models, advances in computational techniques, emerging high-performance computers, and experimental validation techniques have provided significant insight into the fundamental factors that control the development of the weldment. The current status and scientific issues in the areas of heat and fluid flow in welds, heat source metal interaction, solidification microstructure, and phase transformations are assessed. Future research areas of major importance for understanding the fundamental phenomena in weld behavior are identified.

Zacharia, T.; Vitek, J.M. [Oak Ridge National Lab., TN (United States); Goldak, J.A. [Carleton Univ., Ottawa, Ontario (Canada); DebRoy, T.A. [Pennsylvania State Univ., University Park, PA (United States); Rappaz, M. [Ecole Polytechnique Federale de Lausanne (Switzerland); Bhadeshia, H.K.D.H. [Cambridge Univ. (United Kingdom)

1993-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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.


341

Waste glass melter numerical and physical modeling  

SciTech Connect

Results of physical and numerical simulation modeling of high-level liquid waste vitrification melters are presented. Physical modeling uses simulant fluids in laboratory testing. Visualization results provide insight into convective melt flow patterns from which information is derived to support performance estimation of operating melters and data to support numerical simulation. Numerical simulation results of several melter configurations are presented. These are in support of programs to evaluate melter operation characteristics and performance. Included are investigations into power skewing and alternating current electric field phase angle in a dual electrode pair reference design and bi-modal convective stability in an advanced design. 9 refs., 9 figs., 1 tab.

Eyler, L.L.; Peters, R.D.; Lessor, D.L.; Lowery, P.S.; Elliott, M.L.

1991-10-01T23:59:59.000Z

342

Insights on Psittacine Nutrition through the Study of Free-living Chicks  

E-Print Network (OSTI)

The Psittacidae is one of the most endangered families of birds in the world. Knowledge of its nutrition is important for understanding their survival and productivity in the wild, as well as for their adequate husbandry in captivity. Hand-rearing is a common practice for this group. However, research on their requirements is limited. Analysis of the crop content of chicks can provide new insights into psittacine nutrition, but it is limited by the small sizes of samples which can be obtained. We sampled the crops from free-living chicks of scarlet macaws and red-and-green macaws from southeastern Peru, Cuban parrots from the Bahamas, lilac-crowned parrots from northwestern Mexico, and thick-billed parrots from northern Mexico. The predicted metabolizable energy, protein, fat, minerals, profile of essential amino acids and profile of fatty acids of the crop samples, as well as from 15 commercial hand-rearing formulas, were analyzed and contrasted. Near Infrared Spectroscopy was shown to be a valid technique for the nondestructive, low cost prediction of a variety of nutritional attributes of crop samples as small as 0.5 g dry weight, expanding the possibilities of wild animal nutrition research. The diets of the five studied species presented remarkable similarities and common patterns. The predicted dietary metabolizable energy and fat concentrations were particularly similar among species, the thick-billed parrot being the one with the most unique nutrient profile. The fatty acid profile of the crop contents differed markedly among genera, with the thick-billed parrot closer to the macaws than to the parrots. In comparison with the crop samples, the hand feeding formulas presented lower fat, Mg, arginine, and valine concentrations. The wide variation in nutrients suggests that there is not yet a consensus among manufacturers concerning the correct nutrition for growing psittacines. It is suggested that a single formulation could be used to hand-rear macaws and parrots from half its nesting time to fledging, and further research should focus on their nutrition during the first half. Our results suggest that manufacturers should evaluate if increasing the concentrations of crude fat, Mg, arginine, and valine in commercial formulas enhances psittacine chick growth and health.

Cornejo, Juan

2012-05-01T23:59:59.000Z

343

Using a Bayesian framework and global sensitivity analysis to identify strengths and weaknesses of two process-based models differing in representation of autotrophic respiration  

Science Conference Proceedings (OSTI)

Process-based models are powerful tools for sustainable and adaptive forest management. Bayesian statistics and global sensitivity analysis allow to reduce uncertainties in parameters and outputs, and they provide better insight of model behaviour. In ... Keywords: 3-PG, Bayesian calibration, Bayesian model comparison, Carbon cycle, Global sensitivity analysis, Morris screening, Net primary production, Respiration, Uncertainty analysis

F. Minunno; M. Van Oijen; D. R. Cameron; S. Cerasoli; J. S. Pereira; M. Tomé

2013-04-01T23:59:59.000Z

344

Multiresolution Analysis of Radiative Transfer through Inhomogeneous Media. Part II: Validation and New Insights  

Science Conference Proceedings (OSTI)

The multiresolution radiative transfer equations of Part I of this paper are solved numerically for the case of inhomogeneous model clouds using Meyer’s basis functions. After analyzing the properties of Meyer’s connection coefficients and ...

Nicolas Ferlay; Harumi Isaka; Philip Gabriel; Albert Benassi

2006-04-01T23:59:59.000Z

345

Insights and Opportunities: Technologies, Policies, and Markets for Clean Energy Solutions (Presentation)  

SciTech Connect

A presentation highlighting how strategic energy analysis can affect technologies, policies, and markets for clean energy solutions. This includes an overview of some of NREL's models and tools as well as results from laboratory analysis.

Arent, D.

2009-11-01T23:59:59.000Z

346

Slip on ridge transform faults : insights from earthquakes and laboratory experiments  

E-Print Network (OSTI)

The relatively simple tectonic environment of mid-ocean ridge transform fault (RTF) seismicity provides a unique opportunity for investigation of earthquake and faulting processes. We develop a scaling model that is complete ...

Boettcher, Margaret S

2005-01-01T23:59:59.000Z

347

Coral calcification : insights from inorganic experiments and coral responses to environmental variables  

E-Print Network (OSTI)

The mechanisms involved in the formation of coral skeletons are examined using a laboratory model for coral calcification and the growth of living corals under different environmental conditions. Abiogenic aragonite was ...

Holcomb, Michael (Michael C.)

2010-01-01T23:59:59.000Z

348

Insights and Opportunities: Technologies, Policies, and Markets for Clean Energy Solutions (Presentation)  

SciTech Connect

A presentation highlighting how strategic energy analysis can affect technologies, policies, and markets for clean energy solutions. This includes an overview of some of NREL's models and tools as well as results from laboratory analysis.

Arent, D.

2009-11-01T23:59:59.000Z

349

Recent Advances in Modeling Stellar Interiors  

E-Print Network (OSTI)

Advances in stellar interior modeling are being driven by new data from large-scale surveys and high-precision photometric and spectroscopic observations. Here we focus on single stars in normal evolutionary phases; we will not discuss the many advances in modeling star formation, interacting binaries, supernovae, or neutron stars. We review briefly: 1) updates to input physics of stellar models; 2) progress in two and three-dimensional evolution and hydrodynamic models; 3) insights from oscillation data used to infer stellar interior structure and validate model predictions (asteroseismology). We close by highlighting a few outstanding problems, e.g., the driving mechanisms for hybrid gamma Dor/delta Sct star pulsations, the cause of giant eruptions seen in luminous blue variables such as eta Car and P Cyg, and the solar abundance problem.

Guzik, Joyce Ann

2010-01-01T23:59:59.000Z

350

Recent advances in modeling stellar interiors (u)  

Science Conference Proceedings (OSTI)

Advances in stellar interior modeling are being driven by new data from large-scale surveys and high-precision photometric and spectroscopic observations. Here we focus on single stars in normal evolutionary phases; we will not discuss the many advances in modeling star formation, interacting binaries, supernovae, or neutron stars. We review briefly: (1) updates to input physics of stellar models; (2) progress in two and three-dimensional evolution and hydrodynamic models; (3) insights from oscillation data used to infer stellar interior structure and validate model predictions (asteroseismology). We close by highlighting a few outstanding problems, e.g., the driving mechanisms for hybrid {gamma} Dor/{delta} Sct star pulsations, the cause of giant eruptions seen in luminous blue variables such as {eta} Car and P Cyg, and the solar abundance problem.

Guzik, Joyce Ann [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

351

Efficient and Reliable Reactive Power Supply and Consumption … Insights from an Integrated Program of Engineering and Economic Research  

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

82 82 Efficient and Reliable Reactive Power Supply and Consumption - Insights from an Integrated Program of Engineering and Economic Research Robert J. Thomas, Timothy D. Mount, Richard Schuler, William Schulze, Ray Zimmerman, Fernando Alvarado, Bernard C. Lesieutre, Philip N. Overholt, and Joseph H. Eto Preprint version of paper Electricity Journal Energy Analysis Department Ernest Orlando Lawrence Berkeley National Laboratory 1 Cyclotron Road, MS 90R4000 Berkeley CA 94720-8136 Environmental Energy Technologies Division January 2008 http://eetd.lbl.gov/ea/EMS/EMS_pubs.html The work described in this report was coordinated by the Consortium for Electric Reliability, Technology Solutions and was funded under the Office of Electricity

352

Basic Science Simulations Provide New Insights to Aid Hydrogen Gas Turbine Development (Fact Sheet), NREL Highlights, Science  

DOE Green Energy (OSTI)

Massive first-principles simulation provides insight into flame anchoring in a hydrogen-rich jet in cross-flow. When gas turbine designers want to use gasified biomass for stationary power generation, they are faced with a challenge: bio-derived syngas typically contains significant amounts of hydrogen, which is far more reactive than the methane that is the traditional gas turbine fuel. This reactivity leads to a safety design issue, because with hydrogen-rich fuels a flame may anchor in the fuel injection section of the combustor instead of the downstream design point. In collaboration with Jacqueline Chen of Sandia National Laboratories and Andrea Gruber of SINTEF, a Norwegian energy think tank, the National Renewable Energy Laboratory (NREL) is carrying out fundamental simulations to provide new insight into the physics of flame anchoring in canonical 'jet in cross-flow' configurations using hydrogen-rich fuels. To deal with the large amount and complexity of the data, the combustion scientists also teamed up with computer scientists from across the U.S. Department of Energy's laboratories to develop novel ways to analyze the data. These simulations have shown that fine-scale turbulence structures formed at the jet boundary provide particularly intense mixing between the fuel and air, which then enters a quiescent region formed downstream of the jet in a separate, larger turbulent structure. This insight explains the effect that reducing the wall-normal velocity of the fuel jet causes the flame to blow off; with the aid of the simulation, we now understand this counterintuitive result because reducing the wall-normal velocity would reduce the intensity of the mixing as well as move the quiescent region farther downstream. NREL and its research partners are conducting simulations that provide new insight into the physics of flame anchoring in canonical 'jet in cross-flow' configurations using hydrogen-rich fuels. Simulation results explain the mechanism behind flame blow-off occurring when a component in the cross-flow direction is progressively added to the jet velocity vector, thereby reducing the relative impact of its wall-normal velocity component. Understanding the mechanism for flame anchoring aids the design of fuel injection nozzles that meet safety requirements when using hydrogen-rich fuels.

Not Available

2011-11-01T23:59:59.000Z

353

Sensitivity of Arctic Climate Variability to Mean State: Insights from the Cretaceous  

Science Conference Proceedings (OSTI)

This study investigates Arctic climate variability during a period of extreme warmth using the CCSM3 coupled ocean-atmosphere general circulation model. Four mid-Cretaceous simulations were completed with different CO2 levels (1x, 10x, and 16x pre-...

Christopher J. Poulsen; Jing Zhou

354

The use of direct boundary element method for gaining insight into complex seismic site response  

Science Conference Proceedings (OSTI)

The boundary element method is specially well suited for the analysis of the seismic response of valleys of complicated topography and stratigraphy. In this paper the method's capabilities are illustrated using as an example an irregularity stratified ... Keywords: Boundary element method, Euroseistest, Local conditions, Numerical modelling, Site effects

Sonia Álvarez-Rubio; Juan José Benito; Francisco José Sánchez-Sesma; Enrique Alarcón

2005-04-01T23:59:59.000Z

355

Charge separation in nanoscale photovoltaic materials: recent insights from first-principles electronic structure theory  

E-Print Network (OSTI)

to obey a single unique model but rather depend on atomistic details. Examples are provided theory for reliably predicting and designing new materials suitable for charge separation in photovoltaic of great interest to explore whether comparable photovoltaic (PV) efficiencies can be achieved using

Wu, Zhigang

356

Modeling movements in oil, gold, forex and market indices using search volume index and Twitter sentiments  

Science Conference Proceedings (OSTI)

Study of the forecasting models using large scale microblog discussions and the search behavior data can provide a good insight for better understanding the market movements. In this work we collected a dataset of 2 million tweets and search volume index ... Keywords: Twitter, data mining, forex, gold, microblogging, oil, sentiment analysis, social network analysis, stock market

Tushar Rao, Saket Srivastava

2013-05-01T23:59:59.000Z

357

Modeling DFIG Using General Vector Representation in the Presence of Harmonics  

Science Conference Proceedings (OSTI)

In this paper, a doubly-fed induction generator (DFIG) wind turbine is modeled by using the general vector representation of voltage, current and magnetic flux in the presence of harmonics. The general vector representation provides insights into how ... Keywords: wind turbine, harmonics, general vector form, DFIG

Ziqiao Liu, Ahmed Abu-Hajar, David Wenzhong Gao

2013-04-01T23:59:59.000Z

358

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

Science Conference Proceedings (OSTI)

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

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

2013-04-01T23:59:59.000Z

359

Modelling interactions of carbon dioxide, forests, and climate  

SciTech Connect

Atmospheric carbon dioxide is rising and forests and climate is changing! This combination of fact and premise may be evaluated at a range of temporal and spatial scales with the aid of computer simulators describing the interrelationships between forest vegetation, litter and soil characteristics, and appropriate meteorological variables. Some insights on the effects of climate on the transfers of carbon and the converse effect of carbon transfer on climate are discussed as a basis for assessing the significance of feedbacks between vegetation and climate under conditions of rising atmospheric carbon dioxide. Three main classes of forest models are reviewed. These are physiologically-based models, forest succession simulators based on the JABOWA model, and ecosystem-carbon budget models that use compartment transfer rates with empirically estimated coefficients. Some regression modeling approaches are also outlined. Energy budget models applied to forests and grasslands are also reviewed. This review presents examples of forest models; a comprehensive discussion of all available models is not undertaken.

Luxmoore, R.J. [Oak Ridge National Lab., TN (United States); Baldocchi, D.D. [National Oceanic and Atmospheric Administration, Oak Ridge, TN (United States)

1994-09-01T23:59:59.000Z

360

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

Note: This page contains sample records for the topic "insight 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

Sentiment proxies: computing market volatility  

Science Conference Proceedings (OSTI)

Macroeconomic announcements can have an influential effect on the price, and related volatility, of an object traded in financial markets. Modeling the impact of a relevant announcement on a specific commodity is of interest in building financial models ...

Stephen Kelly; Khurshid Ahmad

2012-08-01T23:59:59.000Z

362

Quantum Circuit Model Topological Model  

E-Print Network (OSTI)

Quantum Circuit Model Topological Model Comparison of Models Topological Quantum Computation Eric Rowell Texas A&M University October 2010 Eric Rowell Topological Quantum Computation #12;Quantum Circuit Model Topological Model Comparison of Models Outline 1 Quantum Circuit Model Gates, Circuits

Rowell, Eric C.

363

A Critical Examination of the Adaptive Response for Cytogenetic Damagein Human Cells, and Insights into the Adaptive Response Mechanism  

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

Critical Examination of the Adaptive Response for Cytogenetic Damage Critical Examination of the Adaptive Response for Cytogenetic Damage in Human Cells, and Insights into the Adaptive Response Mechanism Björn E. Rydberg, Torsten Groesser, Antoine Snijders, Kelly Trego, Ju Han, Do Yup Lee, Bahram Parvin, Trent Northen, Andrew J. Wyrobek, and Priscilla K. Cooper Berkeley Lab SFA P.I.: Gary Karpen Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 Goal: Task 1 of the Berkeley Lab SFA is designed to identify adaptive response (AR) mechanisms that may affect risk of developing radiation-induced cancer and to assess the linearity with dose of processes that influence mammary gland carcinogenesis. We use both in vitro and in vivo experimental systems in a parallelogram strategy. Our human cell culture

364

The synthesis and origin of the pectic polysaccharide rhamnogalacturonan II … insights from nucleotide sugar formation and diversity  

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

ARTICLE ARTICLE published: 11 May 2012 doi: 10.3389/fpls.2012.00092 The synthesis and origin of the pectic polysaccharide rhamnogalacturonan II - insights from nucleotide sugar formation and diversity Maor Bar-Peled 1 *, Breeanna R. Urbanowicz 2 and Malcolm A. O'Neill 2 1 Department of Plant Biology, Complex Carbohydrate Research, The University of Georgia, Athens, GA, USA 2 Complex Carbohydrate Research Center, The University of Georgia, Athens, GA, USA Edited by: Seth DeBolt, University of Kentucky, USA Reviewed by: Henrik Scheller, Lawrence Berkeley National Laboratory, USA Jesper Harholt, University of Copenhagen, Denmark *Correspondence: Maor Bar-Peled , Department of Plant Biology, Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA. e-mail: peled@ccrc.uga.edu There is compelling evidence showing that the structurally

365

Efficient and Reliable Reactive Power Supply and Consumption --Insights from an Integrated Program of Engineering and EconomicResearch  

Science Conference Proceedings (OSTI)

In 2005, the Federal Energy Regulatory Commission (FERC) began discussing regulatory policy for reactive-power procurement and pricing in competitive electricity markets. This paper summarizes findings from a unique, interdisciplinary program of public-interest research that lays a formal foundation for evaluating aspects of FERC staff recommendations and offers early insights that should be useful in guiding policy implementation, specifically by: (1) clarifying the consumers and economic characteristics of reactive power as a basis for creating incentives to appropriately price it, (2) defining specific challenges in creating a competitive market for reactive power as well as new tools needed to help ensure such a market functions efficiently, and (3) demonstrating the importance of accounting for the physical characteristics of the transmission network in planning for reactive power and avoiding the exercise of market power by suppliers.

Thomas, Robert J.; Mount, Timothy D.; Schuler, Richard; Schulze,William; Zimmerman, Ray; Alvarado, Fernando; Lesieutre, Bernard C.; Overholt, Philip N.; Eto, Joseph H.

2008-01-01T23:59:59.000Z

366

Insights into the Architecture of the Replicative Helicase from the Structure of an Archaeal MCM Homolog  

Science Conference Proceedings (OSTI)

The minichromosome maintenance (MCM) proteins, members of the AAA+ (ATPase associated with diverse cellular activities) superfamily, are believed to constitute the replicative helicase in eukaryotic and archaeal species. Here, we present the 1.9 {angstrom} resolution crystal structure of a monomeric MCM homolog from Methanopyrus kandleri, the first crystallographic structure of a full-length MCM. We also present an 18 {angstrom} cryo-electron microscopy reconstruction of the hexameric MCM from Methanothermobacter thermautotrophicus, and fit the atomic resolution crystal structure into the reconstruction in order to generate an atomic model for the oligomeric assembly. These structural data reveal a distinct active site topology consisting of a unique arrangement of critical determinants. The structures also provide a molecular framework for understanding the functional contributions of trans-acting elements that facilitate intersubunit crosstalk in response to DNA binding and ATP hydrolysis.

Bae, Brian; Chen, Yi-Hsing; Costa, Alessandro; Onesti, Silvia; Brunzelle, Joseph S.; Lin, Yuyen; Cann, Isaac K.O.; Nair, Satish K.; (UIUC); (NWU); (ICL)

2009-03-27T23:59:59.000Z

367

Quasar Host Orientation and Polarization: Insights into the Type 1/Type 2 Dichotomy  

E-Print Network (OSTI)

We investigate correlations between the optical linear polarization position angle and the orientation of the host galaxy/extended emission of Type 1 and Type 2 Radio-Loud (RL) and Radio-Quiet (RQ) quasars. We have used high resolution Hubble Space Telescope (HST) data and deconvolution process to obtain a good determination of the host galaxy orientation. With these new measurements and a compilation of data from the literature, we find a significant correlation between the polarization position angle and the position angle of the major axis of the host galaxy/extended emission. The correlation appears different for Type 1 and Type 2 objects and depends on the redshift of the source. Interpretations in the framework of the unification model are discussed.

B. Borguet; D. Hutsemékers; G. Letawe; Y. Letawe; P. Magain

2007-10-22T23:59:59.000Z

368

Acid/base equilibria in clusters and their role in proton exchange membranes: Computational insight  

DOE Green Energy (OSTI)

We describe molecular orbital theory and ab initio molecular dynamics studies of acid/base equilibria of clusters AH:(H2O)n ? A-:H+(H2O)n in low hydration regime (n=1-4), where AH is a model of perfluorinated sulfonic acids, RSO3H, encountered in polymeric electrolyte membranes of fuel cells. Free energy calculations on the neutral and ion pair structures for n=3 indicate that the two configurations are close in energy and are accessible in the fluctuation dynamics of proton transport. For n=1,2 the only relevant configuration is the neutral form. This was verified through ab initio metadynamics simulations. These findings suggest that bases are directly involved in the proton transport at low hydration levels. In addition, the gas phase proton affinity of the model sulfonic acid RSO3H was found to be comparable to the proton affinity of water. Thus, protonated acids can also play a role in proton transport under low hydration conditions and under high concentration of protons. This work was supported by the Division of Chemical Science, Office of Basic Energy Sciences, US Department of Energy (DOE under Contract DE-AC05-76RL)1830. Computations were performed on computers of the Molecular Interactions and Transformations (MI&T) group and MSCF facility of EMSL, sponsored by US DOE and OBER located at PNNL. This work was benefited from resource of the National Energy Research Scientific Computing Centre, supported by the Office of Science of the US DOE, under Contract No. DE-AC03-76SF00098.

Glezakou, Vanda A.; Dupuis, Michel; Mundy, Christopher J.

2007-10-24T23:59:59.000Z

369

Insights into the behavior of nuclear power plant containments during severe accidents  

SciTech Connect

The containment building surrounding a nuclear reactor offers the last barrier to the release of radioactive materials from a severe accident into the environment. The loading environment of the containment under severe accident conditions may include much greater than design pressures and temperatures. Investigations into the performance of containments subject to ultimate or failure pressure and temperature conditions have been performed over the last several years through a program administered by the Nuclear Regulatory Commission (NRC). These NRC sponsored investigations are subsequently discussed. Reviewed are the results of large scale experiments on reinforced concrete, prestressed concrete, and steel containment models pressurized to failure. In conjunction with these major tests, the results of separate effect testing on many of the critical containment components; that is, aged and unaged seals, a personnel air lock and electrical penetration assemblies subjected to elevated temperature and pressure have been performed. An objective of the NRC program is to gain an understanding of the behavior of typical existing and planned containment designs subject to postulated severe accident conditions. This understanding has led to the development of experimentally verified analytical tools that can be applied to accurately predict their ultimate capacities useful in developing severe accident mitigation schemes. Finally, speculation on the response of containments subjected to severe accident conditions is presented.

Horschel, D.S.; Ludwigsen, J.S.; Parks, M.B.; Lambert, L.D. [Sandia National Labs., Albuquerque, NM (United States); Dameron, R.A.; Rashid, Y.R. [ANATECH Research Corp., San Diego, CA (United States)

1993-06-01T23:59:59.000Z

370

$^2$H$(e,e'p)$ observables using a Regge model parameterization of final state interactions  

E-Print Network (OSTI)

In previous papers we have presented a calculation describing electrodisintegration of the deuteron at GeV energies. The model is fully relativistic and incorporates full spin dependence of the final state interactions (FSI), which were obtained from the SAID analysis. It was, however, limited kinematically due to lack of availability of the SAID amplitudes. This work rectifies this problem by implementing a Regge model to describe the FSI. We present an outline of the model and show comparisons between the two approaches in a region of overlap. We see good agreement between the models, and note observables which can provide additional insight due to model sensitivity.

William P. Ford; Sabine Jeschonnek; J. W. Van Orden

2013-04-02T23:59:59.000Z

371

Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

NONE

1998-01-01T23:59:59.000Z

372

Model Validation  

Science Conference Proceedings (OSTI)

...thus establishing appropriate and important benchmarks. Benchmarking can go beyond validation and also measure relative computational speed, accuracy, and breadth for available modeling approaches and implementations, providing valuable information for users to discern the best models and for modelers...

373

Modeling & Simulation  

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

374

An updated astronomical timescale for the Plio-Pleistocene deposits from South China Sea and new insights into Asian monsoon evolution  

E-Print Network (OSTI)

insights into Asian monsoon evolution Hong Ao a,b,*, Mark J. Dekkers c , Li Qin d , Guoqiao Xiao e a State Asian monsoon Pliocene Pleistocene a b s t r a c t Here we present an improved astronomical timescale Asian summer monsoon record (hematite to goethite content ratio, Hm/Gt) and a parallel benthic d18 O

Utrecht, Universiteit

375

Insights into Structure and Stratigraphy of the Northern Gulf of Mexico from 2D Pre-Stack Depth Migration Imaging of  

E-Print Network (OSTI)

Insights into Structure and Stratigraphy of the Northern Gulf of Mexico from 2D Pre-Stack Depth water of the northwestern Gulf of Mexico and displays distinct, large-scale structural styles and salt established in the northern Gulf of Mexico that substantial deformation in the form of linked proxi- mal

Connors, Christopher D.

376

Climate Change Science Program Issues Report on Climate Models | Department  

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

Climate Change Science Program Issues Report on Climate Models Climate Change Science Program Issues Report on Climate Models Climate Change Science Program Issues Report on Climate Models July 31, 2008 - 2:40pm Addthis WASHINGTON, DC - The U.S. Climate Change Science Program (CCSP) today announced the release of the report "Climate Models: An Assessment of Strengths and Limitations," the 10th in a series of 21 Synthesis and Assessment Products (SAPs) managed by U.S. federal agencies. Developed under the leadership of the U.S. Department of Energy (DOE), this report, SAP 3.1, describes computer models of the Earth's climate and their ability to simulate current climate change. "Complex climate models are tools that provide insights and knowledge into how future climate may evolve. To assure that future climate projections

377

Experimental investigation and model verification for a GAX absorber  

SciTech Connect

In the ammonia-water generator-absorber heat exchange (GAX) absorption heat pump, the heat and mass transfer processes which occur between the generator and absorber are the most crucial in assuring that the heat pump will achieve COPs competitive with those of current technologies. In this study, a model is developed for the heat and mass transfer processes that occur in a counter-current vertical fluted tube absorber (VFTA) with inserts. Correlations for heat and mass transfer in annuli are used to model the processes in the VTA. Experimental data is used to validate the model for three different insert geometries. Comparison of model results with experimental data provides insight into model corrections necessary to bring the model into agreement with the physical phenomena observed in the laboratory.

Palmer, S.C. [Naval Academy, Annapolis, MD (United States). Mechanical Engineering Dept.; Christensen, R.N. [Ohio State Univ., Columbus, OH (United States). Mechanical Engineering Dept.

1996-12-31T23:59:59.000Z

378

Insights into relationships among rodent lineages based on mitochondrial genome sequence data  

E-Print Network (OSTI)

This dissertation has two major sections. In Chapter II, complete mitochondrial (mt DNA) genome sequences were used to construct a hypothesis for affinities of most major lineages of rodents that arose quickly in the Eocene and were well established by the end of the Oligocene. Determining the relationships among extant members of such old lineages can be difficult. Two traditional schemes on subordinal classification of rodents have persisted for over a century, dividing rodents into either two or three suborders, with relationships among families or superfamilies remaining problematic. The mtDNA sequences for four new rodent taxa (Aplodontia, Cratogeomys, Erethizon, and Hystrix), along with previously published Euarchontoglires taxa, were analyzed under parsimony, likelihood, and Bayesian criteria. Likelihood and Bayesian analyses of the protein-coding genes converged on a single topology that weakly supported rodent monophyly and was significantly better than the parsimony trees. Analysis of the tRNAs failed to recover a monophyletic Rodentia and did not reach convergence on a stationary distribution after fifty million generations. Most relationships hypothesized in the likelihood topology have support from previous data. Mt tRNAs have been largely ignored with respect to molecular evolution or phylogenetic utility. In Chapter III, the mt tRNAs from 141 mammals were used to refine secondary structure models and examine their molecular evolution. Both H- and L-encoded tRNAs are AT-rich with different %G and GC-skew and a difference in skew between H- and L-strand stems. Proportion of W-C pairs is higher in the H-strand and GU/UG pairs are higher in the L-strand, suggesting increased mismatch compensation in L-strand tRNAs. Among rodents, the number of variable stem base-pairs was nearly 75% of that observed across all mammals combined. Compensatory base changes were present only at divergences of 4% or greater. Neither loop reduction nor an accumulation of deleterious mutations, both suggestive of mutational meltdown (Muller's ratchet), was observed. Mutations associated with human pathologies are correlated only with the coding strand, with H-strand tRNAs being linked to substantially more of these mutations.

Frabotta, Laurence John

2005-12-01T23:59:59.000Z

379

Induced technical change and the cost of climate policy  

E-Print Network (OSTI)

This paper investigates the potential for a carbon tax to induce R&D, and for the consequent induced technical change (ITC) to lower the macroeconomic cost of abating carbon emissions. ITC is modelled within a general ...

Sue Wing, Ian.

380

Model Comparison in Plasma Energy Confinement Scaling revisited  

SciTech Connect

Already in 1998 we presented on a MaxEnt conference a Bayesian model comparison for the confinement scaling of fusion devices. The reason to visit this field again is an over the years enlarged data basis facilitating new physical insights. We compare up to ten physical models on the basis of the old (low-{beta}) data of the 1998 approach and newly acquired high-{beta} data. This work serves as an example where the prior odds cannot be set constant (as would be the normal procedure) but has to be furnished with physics information.

Preuss, R.; Dinklage, A. [Max-Planck-Institut fuer Plasmaphysik, EURATOM Association, D-85748 Garching (Germany)

2006-11-29T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Discrepancies in Shortwave Diffuse Measured and Modeled Irradiances in Antarctica  

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

Discrepancies in Shortwave Diffuse Measured and Discrepancies in Shortwave Diffuse Measured and Modeled Irradiances in Antarctica A. Payton, P. Ricchiazzi, and C. Gautier University of California Santa Barbara, California D. Lubin Scripps Scripps Institution of Oceanography La Jolla, California Introduction Measurements of clear-sky shortwave (SW) radiation at the surface show discrepancies between measurements and model simulations, but only for certain measurements across time and space. Most of the observations entail broadband measurements. A spectral and spatial analysis of the occurrence of this discrepancy may lend insight into the responsible processes. Langley calibrated multi-filter rotating shadowband radiometer (MFRSR) measurements collected at the Antarctic coastline reveal significant

382

Essays on empirical time series modeling with causality and structural change  

E-Print Network (OSTI)

In this dissertation, three related issues of building empirical time series models for financial markets are investigated with respect to contemporaneous causality, dynamics, and structural change. In the first essay, nation-wide industry information transmission among stock returns of ten sectors in the U.S. economy is examined through the Directed Acyclical Graph (DAG) for contemporaneous causality and Bernanke decomposition for dynamics. The evidence shows that the information technology sector is the most root cause sector. Test results show that DAG from ex ante forecast innovations is consistent with the DAG fro m ex post fit innovations. This supports innovation accounting based on DAGs using ex post innovations. In the second essay, the contemporaneous/dynamic behaviors of real estate and stock returns are investigated. Selected macroeconomic variables are included in the model to explain recent movements of both returns. During 1971-2004, there was a single structural break in October 1980. A distinct difference in contemporaneous causal structure before and after the break is found. DAG results show that REITs take the role of a causal parent after the break. Innovation accounting shows significantly positive responses of real estate returns due to an initial shock in default risk but insignificant responses of stock returns. Also, a shock in short run interest rates affects real estate returns negatively with significance but does not affect stock returns. In the third essay, a structural change in the volatility of five Asian and U.S. stock markets is examined during the post-liberalization period (1990-2005) in the Asian financial markets, using the Sup LM test. Four Asian financial markets (Hong Kong, Japan, Korea, and Singapore) experienced structural changes. However, test results do not support the existence of structural change in volatility for Thailand and U.S. Also, results show that the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) persistent coefficient increases, but the Autoregressive Conditional heteroskedasticity (ARCH) impact coefficient, implying short run adjustment, decreases in Asian markets. In conclusion, when the econometric model is set up, it is necessary to consider contemporaneous causality and possible structural breaks (changes). The dissertation emphasizes causal inference and structural consistency in econometric modeling. It highlights their importance in discovering contemporaneous/dynamic causal relationships among variables. These characteristics will likely be helpful in generating accurate forecasts.

Kim, Jin Woong

2006-08-01T23:59:59.000Z

383

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.  

SciTech Connect

The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate the wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.

Brewer, Jeffrey D.

2005-11-01T23:59:59.000Z

384

Multi-scale Detection of Organic and Inorganic Signatures Provides Insights into Gas Shale Properties and Evolution  

Science Conference Proceedings (OSTI)

Organic geochemical analyses, including solvent extraction or pyrolysis, followed by gas chromatography and mass spectrometry, are generally conducted on bulk gas shale samples to evaluate their source and reservoir properties. While organic petrology has been directed at unravelling the matrix composition and textures of these economically important unconventional resources, their spatial variability in chemistry and structure is still poorly documented at the sub-micrometre scale. Here, a combination of techniques including transmission electron microscopy and a synchrotron-based microscopy tool, scanning transmission X-ray microscopy, have been used to characterize at a multiple length scale an overmature organic-rich calcareous mudstone from northern Germany. We document multi-scale chemical and mineralogical heterogeneities within the sample, from the millimetre down to the nanometre-scale. From the detection of different types of bitumen and authigenic minerals associated with the organic matter, we show that the multi-scale approach used in this study may provide new insights into gaseous hydrocarbon generation/retention processes occurring within gas shales and may shed new light on their thermal history.

Bernard, S.; Horsfield, B; Schultz, H; Schreiber, A; Wirth, R; Thi AnhVu, T; Perssen, F; Konitzer, S; Volk, H; et. al.

2010-01-01T23:59:59.000Z

385

Cross-study and cross-omics comparisons of three nephrotoxic compounds reveal mechanistic insights and new candidate biomarkers  

Science Conference Proceedings (OSTI)

The European InnoMed-PredTox project was a collaborative effort between 15 pharmaceutical companies, 2 small and mid-sized enterprises, and 3 universities with the goal of delivering deeper insights into the molecular mechanisms of kidney and liver toxicity and to identify mechanism-linked diagnostic or prognostic safety biomarker candidates by combining conventional toxicological parameters with 'omics' data. Mechanistic toxicity studies with 16 different compounds, 2 dose levels, and 3 time points were performed in male Crl: WI(Han) rats. Three of the 16 investigated compounds, BI-3 (FP007SE), Gentamicin (FP009SF), and IMM125 (FP013NO), induced kidney proximal tubule damage (PTD). In addition to histopathology and clinical chemistry, transcriptomics microarray and proteomics 2D-DIGE analysis were performed. Data from the three PTD studies were combined for a cross-study and cross-omics meta-analysis of the target organ. The mechanistic interpretation of kidney PTD-associated deregulated transcripts revealed, in addition to previously described kidney damage transcript biomarkers such as KIM-1, CLU and TIMP-1, a number of additional deregulated pathways congruent with histopathology observations on a single animal basis, including a specific effect on the complement system. The identification of new, more specific biomarker candidates for PTD was most successful when transcriptomics data were used. Combining transcriptomics data with proteomics data added extra value.

Matheis, Katja A., E-mail: katja.matheis@boehringer-ingelheim.com [Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach an der Riss (Germany); Com, Emmanuelle [Sanofi-Aventis, Paris (France); High-Throughput Proteomics Core Facility OUEST-genopole (registered) , Rennes (France); Gautier, Jean-Charles [Sanofi-Aventis, Paris (France); Guerreiro, Nelson [Novartis Institutes for BioMedical Research (NIBR), Basel (Switzerland); Brandenburg, Arnd; Gmuender, Hans [GeneData AG, Basel (Switzerland); Sposny, Alexandra; Hewitt, Philip [Merck KGaA, Darmstadt (Germany); Amberg, Alexander [Sanofi-Aventis, Frankfurt (Germany); Boernsen, Olaf [Novartis Institutes for BioMedical Research (NIBR), Basel (Switzerland); Riefke, Bjoern [Bayer Schering Pharma AG, Berlin (Germany); Hoffmann, Dana; Mally, Angela [Department of Toxicology, University of Wuerzburg, Wuerzburg (Germany); Kalkuhl, Arno [Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach an der Riss (Germany); Suter, Laura [F. Hoffmann-La Roche, Ltd., Basel (Switzerland); Dieterle, Frank; Staedtler, Frank [Novartis Institutes for BioMedical Research (NIBR), Basel (Switzerland)

2011-04-15T23:59:59.000Z

386

Insight into the Properties of the UK Power Consumption Using a Linear Regression and Wavelet Transform Approach  

E-Print Network (OSTI)

In this paper, the relationship between the Gross Domestic Product (GDP), air temperature variations and power consumption is evaluated using the linear regression and Wavelet Coherence (WTC) approach on a 1971-2011 time series for the United Kingdom (UK). The results based on the linear regression approach indicate that some 66% variability of the UK electricity demand can be explained by the quarterly GDP variations, while only 11% of the quarterly changes of the UK electricity demand are caused by seasonal air temperature variations. WTC however, can detect the period of time when GDP and air temperature significantly correlate with electricity demand and the results of the wavelet correlation at different time scales indicate that a significant correlation is to be found on a long-term basis for GDP and on an annual basis for seasonal air-temperature variations. This approach provides an insight into the properties of the impact of the main factors on power consumption on the basis of which the power syst...

Avdakovic, Samir; Nuhanovic, Amir

2013-01-01T23:59:59.000Z

387

Modeling the Optical Afterglow of GRB 030329  

E-Print Network (OSTI)

The best-sampled afterglow light curves are available for GRB 030329. A distinguishing feature of this event is the obvious rebrightening at around 1.6 days after the burst. Proposed explanations for the rebrightening mainly include the two-component jet model and the refreshed shock model, although a sudden density-jump in the circumburst environment is also a potential choice. Here we re-examine the optical afterglow of GRB 030329 numerically in light of the three models. In the density-jump model, no obvious rebrightening can be produced at the jump moment. Additionally, after the density jump, the predicted flux density decreases rapidly to a level that is significantly below observations. A simple density-jump model thus can be excluded. In the two-component jet model, although the observed late afterglow (after 1.6 days) can potentially be explained as emission from the wide-component, the emergence of this emission actually is too slow and it does not manifest as a rebrightening as previously expected. The energy-injection model seems to be the most preferred choice. By engaging a sequence of energy-injection events, it provides an acceptable fit to the rebrightening at $\\sim 1.6$ d, as well as the whole observed light curve that extends to $\\sim 80$ d. Further studies on these multiple energy-injection processes may provide a valuable insight into the nature of the central engines of gamma-ray bursts.

Y. F. Huang; K. S. Cheng; T. T. Gao

2005-09-29T23:59:59.000Z

388

Modelling piloted ignition of wood and plastics  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer We model piloted ignition times of wood and plastics. Black-Right-Pointing-Pointer The model is applied on a packed bed. Black-Right-Pointing-Pointer When the air flow is above a critical level, no ignition can take place. - Abstract: To gain insight in the startup of an incinerator, this article deals with piloted ignition. A newly developed model is described to predict the piloted ignition times of wood, PMMA and PVC. The model is based on the lower flammability limit and the adiabatic flame temperature at this limit. The incoming radiative heat flux, sample thickness and moisture content are some of the used variables. Not only the ignition time can be calculated with the model, but also the mass flux and surface temperature at ignition. The ignition times for softwoods and PMMA are mainly under-predicted. For hardwoods and PVC the predicted ignition times agree well with experimental results. Due to a significant scatter in the experimental data the mass flux and surface temperature calculated with the model are hard to validate. The model is applied on the startup of a municipal waste incineration plant. For this process a maximum allowable primary air flow is derived. When the primary air flow is above this maximum air flow, no ignition can be obtained.

Blijderveen, Maarten van [TNO, Schoemakerstraat 97, 2628 VK Delft (Netherlands); University of Twente, Department of Thermal Engineering, Drienerlolaan 5, 7522 NB Enschede (Netherlands); Bramer, Eddy A. [University of Twente, Department of Thermal Engineering, Drienerlolaan 5, 7522 NB Enschede (Netherlands); Brem, Gerrit, E-mail: g.brem@utwente.nl [University of Twente, Department of Thermal Engineering, Drienerlolaan 5, 7522 NB Enschede (Netherlands)

2012-09-15T23:59:59.000Z

389

Proceedings of the workshop on geochemical modeling  

SciTech Connect

The following collection of papers was presented at a workshop on geochemical modeling that was sponsored by the Office of Civilian Radioactive Waste Management Program at the Lawrence Livermore National Laboratory (LLNL). The LLNL Waste Management Program sponsored this conference based on their belief that geochemical modeling is particularly important to the radioactive waste disposal project because of the need to predict the consequences of long-term water-rock interactions at the proposed repository site. The papers included in this volume represent a subset of the papers presented at the Fallen Leaf Lake Conference and cover a broad spectrum of detail and breadth in a subject that reflects the diverse research interests of the conference participants. These papers provide an insightful look into the current status of geochemical modeling and illustrate how various geochemical modeling codes have been applied to problems of geochemical interest. The emphasis of these papers includes traditional geochemical modeling studies of individual geochemical systems, the mathematical and theoretical development and refinement of new modeling capabilities, and enhancements of data bases on which the computations are based. The papers in this proceedings volume have been organized into the following four areas: Geochemical Model Development, Hydrothermal and Geothermal Systems, Sedimentary and Low Temperature Environments, and Data Base Development. The participants of this symposium and a complete list of the talks presented are listed in the appendices.

Not Available

1986-01-01T23:59:59.000Z

390

Improved computer models support genetics research  

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

February » February » Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined experimental and computational approach, to better understand signaling pathways that lead to genetic mutations, is at the core of this research. Contact thumbnail of Brian Munsky, PhD Distinguished Postdoctoral Fellow Brian Munsky, PhD Information Services, Advanced Measurement Science

391

Modeling Power System Operation with Intermittent Resources  

Science Conference Proceedings (OSTI)

Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.

Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.

2013-02-27T23:59:59.000Z

392

Exploration, Drilling and Development Operations in the Bottle Rock Area of the Geysers Steam Field, With New Geologic Insights and Models Defining Reservoir Parameters  

Science Conference Proceedings (OSTI)

MCR Geothermal Corporation pioneered successful exploratiory drilling the Bottle Rock area of the Geysers Steam Field in 1976. The wellfield is characterized by a deep reservoir with varied flowrates, temperatures, pressures, and stem chemistries being quite acceptable. More detailed reservoir engineering tests will follow as production commences.

Hebein, Jeffrey J.

1983-12-15T23:59:59.000Z

393

Sources and production of organic aerosol in Mexico City: insights from the combination of a chemical transport model (PMCAMx-2008) and measurements  

E-Print Network (OSTI)

Urban areas are large sources of organic aerosols and their precursors. Nevertheless, the contributions of primary (POA) and secondary organic aerosol (SOA) to the observed particulate matter levels have been difficult to ...

Tsimpidi, A. P.

394

Context: Modeling  

Science Conference Proceedings (OSTI)

... Yang, JC; Huber, ML; Boyer, CI; 1995. Modeling of Hydrogen Fluoride Formation From Flame Suppressants During Combustion.. ...

2013-05-03T23:59:59.000Z

395

Modeling Portal  

Science Conference Proceedings (OSTI)

... News And Events. 24th NIST Computer Modeling Workshop. New Quantum Computing Algorithm Could Simulate Giant Particle Accelerators. ...

2011-02-14T23:59:59.000Z

396

IPEEE Seismic Insights  

Science Conference Proceedings (OSTI)

This report compiles and summarizes results of the seismic portion of the Individual Plant Examination for External Events (IPEEE) conducted for each U.S. nuclear plant. Utilities can use trends developed from these results -- together with their individual plant-specific results -- to address future seismic issues on a risk-informed basis.

1999-05-20T23:59:59.000Z

397

Base isolation: Fresh insight  

SciTech Connect

The objective of the research is a further development of the engineering concept of seismic isolation. Neglecting the transient stage of seismic loading results in a widespread misjudgement: The force of resistance associated with velocity is mostly conceived as a source of damping vibrations, though it is an active force at the same time, during an earthquake type excitation. For very pliant systems such as base isolated structures with relatively low bearing stiffness and with artificially added heavy damping mechanism, the so called `damping`` force may occur even the main pushing force at an earthquake. Thus, one of the two basic pillars of the common seismic isolation philosophy, namely, the doctrine of usefulness and necessity of a strong damping mechanism, is turning out to be a self-deception, sometimes even jeopardizing the safety of structures and discrediting the very idea of seismic isolation. There is a way out: breaking with damping dependancy.

Shustov, V.

1993-07-15T23:59:59.000Z

398

Plant design: Integrating Plant and Equipment Models  

Science Conference Proceedings (OSTI)

Like power plant engineers, process plant engineers must design generating units to operate efficiently, cleanly, and profitably despite fluctuating costs for raw materials and fuels. To do so, they increasingly create virtual plants to enable evaluation of design concepts without the expense of building pilot-scale or demonstration facilities. Existing computational models describe an entire plant either as a network of simplified equipment models or as a single, very detailed equipment model. The Advanced Process Engineering Co-Simulator (APECS) project (Figure 5) sponsored by the U.S. Department of Energy's National Energy Technology Laboratory (NETL) seeks to bridge the gap between models by integrating plant modeling and equipment modeling software. The goal of the effort is to provide greater insight into the performance of proposed plant designs. The software integration was done using the process-industry standard CAPE-OPEN (Computer Aided Process Engineering–Open), or CO interface. Several demonstration cases based on operating power plants confirm the viability of this co-simulation approach.

Sloan, David (Alstrom Power); Fiveland, Woody (Alstrom Power); Zitney, S.E.; Osawe, Maxwell (Ansys, Inc.)

2007-08-01T23:59:59.000Z

399

Biomass Scenario Model Documentation: Data and References  

SciTech Connect

The Biomass Scenario Model (BSM) is a system dynamics model that represents the entire biomass-to-biofuels supply chain, from feedstock to fuel use. The BSM is a complex model that has been used for extensive analyses; the model and its results can be better understood if input data used for initialization and calibration are well-characterized. It has been carefully validated and calibrated against the available data, with data gaps filled in using expert opinion and internally consistent assumed values. Most of the main data sources that feed into the model are recognized as baseline values by the industry. This report documents data sources and references in Version 2 of the BSM (BSM2), which only contains the ethanol pathway, although subsequent versions of the BSM contain multiple conversion pathways. The BSM2 contains over 12,000 total input values, with 506 distinct variables. Many of the variables are opportunities for the user to define scenarios, while others are simply used to initialize a stock, such as the initial number of biorefineries. However, around 35% of the distinct variables are defined by external sources, such as models or reports. The focus of this report is to provide insight into which sources are most influential in each area of the supply chain.

Lin, Y.; Newes, E.; Bush, B.; Peterson, S.; Stright, D.

2013-05-01T23:59:59.000Z

400

Computational social dynamic modeling of group recruitment.  

SciTech Connect

The Seldon software toolkit combines concepts from agent-based modeling and social science to create a computationally social dynamic model for group recruitment. The underlying recruitment model is based on a unique three-level hybrid agent-based architecture that contains simple agents (level one), abstract agents (level two), and cognitive agents (level three). This uniqueness of this architecture begins with abstract agents that permit the model to include social concepts (gang) or institutional concepts (school) into a typical software simulation environment. The future addition of cognitive agents to the recruitment model will provide a unique entity that does not exist in any agent-based modeling toolkits to date. We use social networks to provide an integrated mesh within and between the different levels. This Java based toolkit is used to analyze different social concepts based on initialization input from the user. The input alters a set of parameters used to influence the values associated with the simple agents, abstract agents, and the interactions (simple agent-simple agent or simple agent-abstract agent) between these entities. The results of phase-1 Seldon toolkit provide insight into how certain social concepts apply to different scenario development for inner city gang recruitment.

Berry, Nina M.; Lee, Marinna; Pickett, Marc; Turnley, Jessica Glicken (Sandia National Laboratories, Albuquerque, NM); Smrcka, Julianne D. (Sandia National Laboratories, Albuquerque, NM); Ko, Teresa H.; Moy, Timothy David (Sandia National Laboratories, Albuquerque, NM); Wu, Benjamin C.

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

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).

402

Flash vacuum pyrolysis of lignin model compounds  

DOE Green Energy (OSTI)

Despite the extensive research into the pyrolysis of lignin, the underlying chemical reactions that lead to product formation are poorly understood. Detailed mechanistic studies on the pyrolysis of biomass and lignin under conditions relevant to current process conditions could provide insight into utilizing this renewable resource for the production of chemicals and fuel. Currently, flash or fast pyrolysis is the most promising process to maximize the yields of liquid products (up to 80 wt %) from biomass by rapidly heating the substrate to moderate temperatures, typically 500{degrees}C, for short residence times, typically less than two seconds. To provide mechanistic insight into the primary reaction pathways under process relevant conditions, we are investigating the flash vacuum pyrolysis (FVP) of lignin model compounds that contain a {beta}-ether. linkage and {alpha}- or {gamma}-alcohol, which are key structural elements in lignin. The dominant products from the FVP of PhCH{sub 2}CH{sub 2}OPh (PPE), PhC(OH)HCH{sub 2}OPh, and PhCH{sub 2}CH(CH{sub 2}OH)OPh at 500{degrees}C can be attributed to homolysis of the weakest bond in the molecule (C-O bond) or 1,2-elimination. Surprisingly, the hydroxy-substituent dramatically increases the decomposition of PPE. It is proposed that internal hydrogen bonding is accelerating the reaction.

Cooney, M.J.; Britt, P.F.; Buchanan, A.C. III

1997-03-01T23:59:59.000Z

403

Agent-Based Modeling and Simulation for Hydrogen Transition Analysis  

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

Agent Agent Agent - - Based Modeling Based Modeling and Simulation (ABMS) and Simulation (ABMS) for Hydrogen Transition for Hydrogen Transition Analysis Analysis Marianne Mintz Hydrogen Transition Analysis Workshop US Department of Energy January 26, 2006 Objectives and Scope for Phase 1 2 Analyze the hydrogen infrastructure development as a complex adaptive system using an agent-based modeling and simulation (ABMS) approach Develop an ABMS model to simulate the evolution of that system, spanning the entire H2 supply chain from production to consumption Identify key factors that either promote or inhibit the growth of H2 infrastructure Apply ABMS to get new insights into transition, particularly early transition phase - Dynamic interplay between supply and demand

404

Sensitivity analysis techniques for models of human behavior.  

SciTech Connect

Human and social modeling has emerged as an important research area at Sandia National Laboratories due to its potential to improve national defense-related decision-making in the presence of uncertainty. To learn about which sensitivity analysis techniques are most suitable for models of human behavior, different promising methods were applied to an example model, tested, and compared. The example model simulates cognitive, behavioral, and social processes and interactions, and involves substantial nonlinearity, uncertainty, and variability. Results showed that some sensitivity analysis methods create similar results, and can thus be considered redundant. However, other methods, such as global methods that consider interactions between inputs, can generate insight not gained from traditional methods.

Bier, Asmeret Brooke

2010-09-01T23:59:59.000Z

405

Numerical Modeling  

Science Conference Proceedings (OSTI)

Feb 28, 2011... or field repair, durability, weight and cost efficiency, and extreme climate. ... Cohesive zone model is implemented to investigate the interfacial ...

406

PREDICTIVE MODELS  

Science Conference Proceedings (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

407

From systems biology to photosynthesis and whole-plant modeling: a conceptual model for integrating multi-scale networks  

SciTech Connect

Network analysis is now a common statistical tool for molecular biologists. Network algorithms are readily used to model gene, protein and metabolic correlations providing insight into pathways driving biological phenomenon. One output from such an analysis is a candidate gene list that can be responsible, in part, for the biological process of interest. The question remains, however, as to whether molecular network analysis can be used to inform process models at higher levels of biological organization. In our previous work, transcriptional networks derived from three plant species were constructed, interrogated for orthology and then correlated to photosynthetic inhibition at elevated temperature. One unique aspect of that study was the link from co-expression networks to net photosynthesis. In this addendum, we propose a conceptual model where traditional network analysis can be linked to whole-plant models thereby informing predictions on key processes such as photosynthesis, nutrient uptake and assimilation, and C partitioning.

Weston, David [ORNL; Hanson, Paul J [ORNL; Norby, Richard J [ORNL; Tuskan, Gerald A [ORNL; Wullschleger, Stan D [ORNL

2012-01-01T23:59:59.000Z

408

Molecular Models to Emulate Confinement Effects on the Internal Dynamics of Organophosphorous Hydrolase  

SciTech Connect

The confinement of the metalloenzyme organophosphorous hydrolase in functionalized mesoporous silica (FMS) enhances the stability and increases catalytic specific activity by 200% compared to the enzyme in solution. The mechanism by which these processes take place is not well understood. We have developed two coarse-grain models of confinement to provide insights into how the nanocage environment steers enzyme conformational dynamics towards enhanced stability and enzymatic activity. The structural dynamics of organophosphorous hydrolase under the two confinement models are very distinct from each other. Comparisons of the present simulations show that only one model leads to an accurate depiction of the internal dynamics of the enzyme.

Gomes, Diego Enry B.; Lins, Roberto D.; Pascutti, Pedro G.; Straatsma, TP; Soares, Thereza A.

2008-09-28T23:59:59.000Z

409

EPRI (2004, 2006) Ground-Motion Model Review Project  

Science Conference Proceedings (OSTI)

This project plan describes the Electric Power Research Institute (EPRI) (2004, 2006) Ground-Motion Model (GMM) Review Project, which will provide industry with information necessary to respond to the Nuclear Regulatory Commission Request for Information to Title 10 of the Code of Federal Regulations 50.54(f), Recommendation 2.1 of the Near-Term Task Force Review of Insights from the Fukushima Dai-Ichi Accident, dated March 12, 2012. The purpose of this study is to determine whether the EPRI (2004, 2006)...

2012-06-14T23:59:59.000Z

410

EPRI (2004, 2006) Ground-Motion Model (GMM) Review Project  

Science Conference Proceedings (OSTI)

This report describes the Electric Power Research Institute (EPRI) (2004, 2006) Ground-Motion Model (GMM) Review Project, which developed an updated GMM for the Central and Eastern United States (CEUS) for use by licensees of nuclear generating plants to respond to the U.S. Nuclear Regulatory Commission’s (NRC’s) Request for Information to Title 10 of the Code of Federal Regulations 50.54(f), Recommendation 2.1 of the Near-Term Task Force Review of Insights from the Fukushima Dai-Ichi ...

2013-06-13T23:59:59.000Z

411

ISDAC Modeling  

NLE Websites -- All DOE Office Websites (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

412

Biosystems Modeling  

NLE Websites -- All DOE Office Websites (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:

413

OSPREY Model  

SciTech Connect

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

414

Poverty and Social Impact Analysis—Linking Macroeconomic Policies to Poverty Outcomes: Summary of Early Experiences  

E-Print Network (OSTI)

The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. The objective of this paper is to present some early experiences of poverty and social impact analysis (PSIA) from the PRGF-supported programs in the African Department. The paper illustrates that many staff country reports have taken a first step toward PSIA by making more explicit the links between poverty and policies. Various examples highlight that even though relationships can be complex and analysis, as a result, may not be definitive, it is possible to assess some of the potential poverty effects even in countries with limited data, and therefore contribute to a more informed policy debate and design. The paper concludes that PSIA can help design policies that are more propoor, better define compensatory and complementary measures where appropriate, and support country ownership of reforms by promoting a public debate on trade-offs between policy choices. In light of this, the paper suggests that PRGF policy advice would benefit from more systematic PSIA and that staff country reports could report more on the potential policy trade-offs and poverty

Prepared Caroline; M. Robb

2003-01-01T23:59:59.000Z

415

The macroeconomic effect of the information and communication technology in Hungary  

E-Print Network (OSTI)

It was not until the beginning of the 1990s that the effects of information and communication technology on economic growth as well as on the profitability of enterprises raised the interest of researchers. After giving a general description on the relationship between a more intense use of ICT devices and dynamic economic growth, the author identified and explained those four channels that had a robust influence on economic growth and productivity. When comparing the use of information technonology devices in developed as well as in developing countries, the author highlighted the importance of the available additional human capital and the elimination of organizational inflexibilities in the attempt of narrowing the productivity gap between the developed and developing nations. By processing a large quantitiy of information gained from Hungarian enterprises operating in several economic sectors, the author made an attempt to find a strong correlation between the development level of using ICT devices and pr...

Sasvari, Peter

2012-01-01T23:59:59.000Z

416

Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy  

E-Print Network (OSTI)

for the oil price variable y OIL,t in 1972:1. From these oneoil price shocks Lag with Study Hamilton (1983) Hamilton (1983) Sample period 1949:II-1972:

Herrera, Ana Maria; Hamilton, James D.

2001-01-01T23:59:59.000Z

417

Physica A 382 (2007) 8997 Reflections on modern macroeconomics: Can we travel  

E-Print Network (OSTI)

minimum number of installations (ranging from three to ten, as either the lead installer or an apprentice installer or 10 as an apprentice CT ­ CCEF Large PV Program DE ­ DEO IL ­ DCEO MA ­ MTC E MD ­ MEA ME ­ MSEP

Tesfatsion, Leigh

418

The Business Cycle, Macroeconomic Shocks and the Cross Section: The Growth of UK Quoted Companies.  

E-Print Network (OSTI)

}h/ djh dqg lqgxvwu|1 Zh #31;qg wkdw wkh h#30;hfwv ri djjuhjdwh vkrfnv/ srvlwlyh dqg qhjdwlyh/ duh pruh surqrxqfhg iru #31;upv lq wkh plggoh udqjh ri jurzwk1 Zh vkrz wkdw/ wkh kljkhu prphqwv ri wkh glvwulexwlrq ri #31;up jurzwk udwhv duh vljql#31;fdqwo... lqlwldo fkdudfwhulvdwlrq ri wkh furvv vhfwlrqv ri jurzwk udwhv ri XN txrwhg #31;upv1 Rxu hpslulfdo dqdo|vlv lv edvhg rq d gdwd vhw ri XN olvwhg frpsdq| dffrxqwv iurp 4<9; wr 4<<: frpsulvlqj pruh wkdq 64/333 frpsdq| |hduv1 Zh #31;qg wkdw wkhuh lv d...

Higson, Chris; Holly, Sean; Kattuman, Paul; Platis, S

2004-06-16T23:59:59.000Z

419

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

of Macro Announcements: Real Time Price Discovery in Foreign93, 38–62. (2005): “Real Time Price Discovery in Stock, Bond

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

420

An Updated Macroeconomic Analysis of Recent California Climate Action Team Strategies  

Science Conference Proceedings (OSTI)

Through Executive Order S-3-05, Governor Schwarzenegger established new greenhouse gas reduction goals for California and initiated a process to develop plans for meeting these new targets. The California Global Warming Solutions Act of 2006 (AB 32) mandates reductions in future California greenhouse gas emissions so that 1990 levels are reached by 2020. Many key aspects of the policies California intends to implement to meet the near term mandate and long goals remain unclear. This report provides an an...

2007-10-29T23:59:59.000Z

Note: This page contains sample records for the topic "insight 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

Surface Plasmons and Nonlocality: a Simple Model  

E-Print Network (OSTI)

Surface plasmons on metals can concentrate light into sub-nanometric volumes and on these near atomic length scales the electronic response at the metal interface is smeared out over a Thomas-Fermi screening length. This nonlocality is a barrier to a good understanding of atomic scale response to light and complicates the practical matter of computing the fields. In this letter, we present a local analogue model and show that spatial nonlocality can be represented by replacing the nonlocal metal with a composite material, comprising a thin dielectric layer on top of a local metal. This method not only makes possible the quantitative analysis of nonlocal effects in complex plasmonic phenomena with unprecedented simplicity and physical insight, but also offers great practical advantages in their numerical treatment.

Luo, Yu; Wiener, Aeneas; Maier, S A; Pendry, J B

2013-01-01T23:59:59.000Z

422

Documentation: The automated ORAD (Oil Refinery and Distribution Model) to RYMs (Refinery Yield Model) linked system  

SciTech Connect

The Refinery Evaluation Modeling System (REMS) is an analytic tool used by the Energy Information Administration (EIA) to provide insight into the domestic operations of United States refineries. REMS can be used to determine the potential impacts of changes in demands for petroleum products, crude and feedstock qualities, refinery processing capacities, foreign and domestic crude availabilities, transportation modes and costs, and government regulations. REMS is a set of linear programming models that solve for a partial equilibrium in the US refinery market by equating supply and demand while maximizing profits for US refiners. REMS consists of two models: the Refinery Yield Model (RYM), and the Oil Refinery and Distribution Model (ORAD). RYMs consists of nine separate regional models that represent the contiguous US refinery system. These nine regions are aggregates of the 13 Bureau of Mines (BOM) refinery districts. ORAD integrates the results from the individual RYMs into a transportation network which represents the US refinery market. ORAD uses the extreme point refinery representation from RYMs to solve for the optimal product prices in ORAD.

Sanders, R.P.; Kydes, A.S.

1987-01-01T23:59:59.000Z

423

Modelling I  

Science Conference Proceedings (OSTI)

Mar 15, 2012 ... Current Distribution and Lorentz Field Modelling Using Cathode Designs: A ... The electrical conductivity of the cathode-block and the collector bar is so ... load, creating a very uneven current distribution within the cathode.

424

PGMA Model  

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

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.

425

Modelling approaches  

Science Conference Proceedings (OSTI)

Understanding and mitigating risks and threats to critical infrastructures relies heavily on the ability to construct and validate models often involving physical systems or even human intervention. This, together with the wide range of scales from critical ...

Nils Kalstad Svendsen; Stephen D. Wolthusen

2012-01-01T23:59:59.000Z

426

Batteries - Modeling  

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

Battery Modeling Over the last few decades, a broad range of battery technologies have been examined at Argonne for transportation applications. Today the focus is on lithium-ion...

427

The Past as Prologue? Business Cycles and Forecasting since the 1960s  

E-Print Network (OSTI)

Forecasters,” Journal of Forecasting, Vol. 28, No. 2, Mar,of Macroeconomic Forecasting” Journal of Macroeconomics,of Federal Reserve Forecasting,” Journal of Macroeconomics,

Bardhan, Ashok Deo; Hicks, Daniel; Kroll, Cynthia A.; Yu, Tiffany

2010-01-01T23:59:59.000Z

428

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Model Validation  

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

Chevy Equinox, Ford Explorer) have been validated within 1% of fuel economy. Hybrid electric vehicles (e.g., Honda Insight, Toyota Prius, Lexus RX400h) have been validated...

429

PREDICTIVE MODELS  

SciTech Connect

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

430

An integrated model for optimizing weld quality  

SciTech Connect

Welding has evolved in the last few decades from almost an empirical art to an activity embodying the most advanced tools of, various basic and applied sciences. Significant progress has been made in understanding the welding process and welded materials. The improved knowledge base has been useful in automation and process control. In view of the large number of variables involved, creating an adequately large database to understand and control the welding process is expensive and time consuming, if not impractical. A recourse is to simulate welding processes through a set of mathematical equations representing the essential physical processes of welding. Results obtained from the phenomenological models depend crucially on the quality of the physical relations in the models and the trustworthiness of input data. In this paper, recent advances in the mathematical modeling of fundamental phenomena in welds are summarized. State of the art mathematical models, advances in computational techniques, emerging high performance computers, and experimental validation techniques have provided significant insight into the fundamental factors that control the development of the weldment. Current status and scientific issues in heat and fluid flow in welds, heat source metal interaction, and solidification microstructure are assessed. Future research areas of major importance for understanding the fundamental phenomena in weld behavior are identified.

Zacharia, T.; Radhakrishnan, B. [Oak Ridge National Lab., TN (United States); Paul, A.J.; Cheng, C. [Concurrent Technologies Corp., Johnstown, PA (United States)

1995-06-01T23:59:59.000Z

431

CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS  

SciTech Connect

Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.

Donald D. Dudenhoeffer; May R. Permann; Milos Manic

2006-12-01T23:59:59.000Z

432

Using a Phenomenological Computer Model to Investigate Advanced Combustion Trajectories in a CIDI Engine  

SciTech Connect

This paper summarizes results from simulations of conventional, high-dilution, and high-efficiency clean combustion in a diesel engine based on a two-zone phenomenological model. The two-zone combustion model is derived from a previously published multi-zone model, but it has been further simplified to increase computational speed by a factor of over 100. The results demonstrate that this simplified model is still able to track key aspects of the combustion trajectory responsible for NOx and soot production. In particular, the two-zone model in combination with highly simplified global kinetics correctly predicts the importance of including oxygen mass fraction (in addition to equivalence ratio and temperature) in lowering emissions from high-efficiency clean combustion. The methodology also provides a convenient framework for extracting information directly from in-cylinder pressure measurements. This feature is likely to be useful for on-board combustion diagnostics and controls. Because of the possibility for simulating large numbers of engine cycles in a short time, models of this type can provide insight into multi-cycle and transient combustion behavior not readily accessible to more computationally intensive models. Also the representation of the combustion trajectory in 3D space corresponding to equivalence ratio, flame temperature, and oxygen fraction provides new insight into optimal combustion management.

Gao, Zhiming [ORNL; Wagner, Robert M [ORNL; Sluder, Scott [ORNL; Daw, C Stuart [ORNL; Green Jr, Johney Boyd [ORNL

2011-01-01T23:59:59.000Z

433

Model development for household waste prevention behaviour  

Science Conference Proceedings (OSTI)

Highlights: Black-Right-Pointing-Pointer We model waste prevention behaviour using structure equation modelling. Black-Right-Pointing-Pointer We merge attitude-behaviour theories with wider models from environmental psychology. Black-Right-Pointing-Pointer Personal norms and perceived behaviour control are the main behaviour predictors. Black-Right-Pointing-Pointer Environmental concern, moral obligation and inconvenience are the main influence on the behaviour. Black-Right-Pointing-Pointer Waste prevention and recycling are different dimensions of waste management behaviour. - Abstract: Understanding waste prevention behaviour (WPB) could enable local governments and decision makers to design more-effective policies for reducing the amount of waste that is generated. By merging well-known attitude-behaviour theories with elements from wider models from environmental psychology, an extensive cognitive framework that provides new and valuable insights is developed for understanding the involvement of individuals in waste prevention. The results confirm the usefulness of the theory of planned behaviour and of Schwartz's altruistic behaviour model as bases for modelling participation in waste prevention. A more elaborate integrated model of prevention was shown to be necessary for the complete analysis of attitudinal aspects associated with waste prevention. A postal survey of 158 respondents provided empirical support for eight of 12 hypotheses. The proposed structural equation indicates that personal norms and perceived behaviour control are the main predictors and that, unlike the case of recycling, subjective norms have a weak influence on WPB. It also suggests that, since social norms have not presented a direct influence, WPB is likely to be influenced by a concern for the environment and the community as well by perceptions of moral obligation and inconvenience. Results also proved that recycling and waste prevention represent different dimensions of waste management behaviour requiring particular approaches to increase individuals' engagement in future policies.

Bortoleto, Ana Paula, E-mail: a.bortoleto@sheffield.ac.uk [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan); Kurisu, Kiyo H.; Hanaki, Keisuke [Department of Urban Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

2012-12-15T23:59:59.000Z

434

Power-Invariant Magnetic System Modeling  

E-Print Network (OSTI)

In all energy systems, the parameters necessary to calculate power are the same in functionality: an effort or force needed to create a movement in an object and a flow or rate at which the object moves. Therefore, the power equation can generalized as a function of these two parameters: effort and flow, P = effort * flow. Analyzing various power transfer media this is true for at least three regimes: electrical, mechanical and hydraulic but not for magnetic. This implies that the conventional magnetic system model (the reluctance model) requires modifications in order to be consistent with other energy system models. Even further, performing a comprehensive comparison among the systems, each system's model includes an effort quantity, a flow quantity and three passive elements used to establish the amount of energy that is stored or dissipated as heat. After evaluating each one of them, it was clear that the conventional magnetic model did not follow the same pattern: the reluctance, as analogous to the electric resistance, should be a dissipative element instead it is an energy storage element. Furthermore, the two other elements are not defined. This difference has initiated a reevaluation of the conventional magnetic model. In this dissertation the fundamentals on electromagnetism and magnetic materials that supports the modifications proposed to the magnetic model are presented. Conceptual tests to a case study system were performed in order to figure out the network configuration that better represents its real behavior. Furthermore, analytical and numerical techniques were developed in MATLAB and Simulink in order to validate our model. Finally, the feasibility of a novel concept denominated magnetic transmission line was developed. This concept was introduced as an alternative to transmit power. In this case, the media of transport was a magnetic material. The richness of the power-invariant magnetic model and its similarities with the electric model enlighten us to apply concepts and calculation techniques new to the magnetic regime but common to the electric one, such as, net power, power factor, and efficiency, in order to evaluate the power transmission capabilities of a magnetic system. The fundamental contribution of this research is that it presents an alternative to model magnetic systems using a simpler, more physical approach. As the model is standard to other systems' models it allows the engineer or researcher to perform analogies among systems in order to gather insights and a clearer understanding of magnetic systems which up to now has been very complex and theoretical.

Gonzalez Dominguez, Guadalupe Giselle

2011-08-01T23:59:59.000Z

435

Model replication: transformations to address model scalability  

Science Conference Proceedings (OSTI)

In model-driven engineering, it is often desirable to evaluate different design alternatives as they relate to scalability issues of the modeled system. A typical approach to address scalability is model replication, which starts by creating base models ... Keywords: domain-specific modeling, model transformation, model-driven engineering, scalability

Yuehua Lin; Jeff Gray; Jing Zhang; Steve Nordstrom; Aniruddha Gokhale; Sandeep Neema; Swapna Gokhale

2008-11-01T23:59:59.000Z

436

Multi-State Physics Models of Aging Passive Components in Probabilistic Risk Assessment  

SciTech Connect

Multi-state Markov modeling has proved to be a promising approach to estimating the reliability of passive components - particularly metallic pipe components - in the context of probabilistic risk assessment (PRA). These models consider the progressive degradation of a component through a series of observable discrete states, such as detectable flaw, leak and rupture. Service data then generally provides the basis for estimating the state transition rates. Research in materials science is producing a growing understanding of the physical phenomena that govern the aging degradation of passive pipe components. As a result, there is an emerging opportunity to incorporate these insights into PRA. This paper describes research conducted under the Risk-Informed Safety Margin Characterization Pathway of the Department of Energy’s Light Water Reactor Sustainability Program. A state transition model is described that addresses aging behavior associated with stress corrosion cracking in ASME Class 1 dissimilar metal welds – a component type relevant to LOCA analysis. The state transition rate estimates are based on physics models of weld degradation rather than service data. The resultant model is found to be non-Markov in that the transition rates are time-inhomogeneous and stochastic. Numerical solutions to the model provide insight into the effect of aging on component reliability.

Unwin, Stephen D.; Lowry, Peter P.; Layton, Robert F.; Heasler, Patrick G.; Toloczko, Mychailo B.

2011-03-13T23:59:59.000Z

437

GIS and plume dispersion modeling for population exposure assessment  

E-Print Network (OSTI)

The use of Pollutant Plume Dispersion Models is widespread in the evaluation of point sources of air pollution. These models provide valuable insight into the concentration and dispersion of hazardous materials throughout the atmosphere. Traditional methods of dispersion modeling for the permitting of new sources and the monitoring of existing sources have allowed much room for error in terms of the effect of the pollutants on nearby populations (Hardikar, 1995). The capabilities of GIS technology offer an improved method of conducting air quality modeling for permitting, remediation studies, and environmental monitoring. GIS has the ability to develop and manage a comprehensive database of model output, map layers, and demographic data that can prove extremely valuable in the modeling process. This data can serve to extend the capabilities of air pollution dispersion modeling from mere estimation of concentrations to comprehensive exposure assessment of neighboring populations (Lowry, et al. 1995, Maslia, et al. 1994). A study of the Monticello power plant in northeast Texas was conducted using the SCREEN3 mathematical plume dispersion model, US Census Bureau demographic data, and a GIS to examine the effects of the plant output on the people living in the seven county area surrounding the plant.

Archer, Jeffrey Keith

1998-01-01T23:59:59.000Z

438

Toward the classification of the realistic free fermionic models  

SciTech Connect

The realistic free fermionic models have had remarkable success in providing plausible explanations for various properties of the Standard Model which include the natural appearance of three generations, the explanation of the heavy top quark mass and the qualitative structure of the fermion mass spectrum in general, the stability of the proton and more. These intriguing achievements makes evident the need to understand the general space of these models. While the number of possibilities is large, general patterns can be extracted. In this paper the author presents a detailed discussion on the construction of the realistic free fermionic models with the aim of providing some insight into the basic structures and building blocks that enter the construction. The role of free phases in the determination of the phenomenology of the models is discussed in detail. The author discusses the connection between the free phases and mirror symmetry in (2,2) models and the corresponding symmetries in the case of (2,0) models. The importance of the free phases in determining the effective low energy phenomenology is illustrated in several examples. The classification of the models in terms of boundary condition selection rules, real world-sheet fermion pairings, exotic matter states and the hidden sector is discussed.

Faraggi, A.E.

1997-08-01T23:59:59.000Z

439

Policy modeling for industrial energy use  

SciTech Connect

The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of innovative (no n-monetary) policy instruments through evaluation and to develop approaches to model both conventional and innovative policies. The explicit modeling of barriers and decision making in the models seems a promising way to enable modeling of conventional and innovative policies. A modular modeling approach is essential to not only provide transparency, but also to use the available resources most effectively and efficiently. Many large models have been developed in the past, but have been abandoned after only brief periods of use. A development path based on modular building blocks needs the establishment of a flexible but uniform modeling framework. The leadership of international agencies and organizations is essential in the establishment of such a framework. A preference is given for ''softlinks'' between different modules and models, to increase transparency and reduce complexity. There is a strong need to improve the efficiency of data collection and interpretation efforts to produce reliable model inputs. The workshop participants support the need for the establishment of an (in-)formal exchanges of information, as well as modeling approaches. The development of an informal network of research institutes and universities to help build a common dataset and exchange ideas on specific areas is proposed. Starting with an exchange of students would be a relative low-cost way to start such collaboration. It would be essential to focus on specific topics. It is also essential to maintain means of regular exchange of ideas between researchers in the different focus points.

Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

2003-03-01T23:59:59.000Z

440

Criticality Model  

Science Conference Proceedings (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

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441

An application of probabilistic safety assessment methods to model aircraft systems and accidents  

DOE Green Energy (OSTI)

A case study modeling the thrust reverser system (TRS) in the context of the fatal accident of a Boeing 767 is presented to illustrate the application of Probabilistic Safety Assessment methods. A simplified risk model consisting of an event tree with supporting fault trees was developed to represent the progression of the accident, taking into account the interaction between the TRS and the operating crew during the accident, and the findings of the accident investigation. A feasible sequence of events leading to the fatal accident was identified. Several insights about the TRS and the accident were obtained by applying PSA methods. Changes proposed for the TRS also are discussed.

Martinez-Guridi, G.; Hall, R.E.; Fullwood, R.R.

1998-08-01T23:59:59.000Z

442

Fundamentals of PV Efficiency Interpreted by a Two-Level Model  

E-Print Network (OSTI)

Elementary physics of photovoltaic energy conversion in a two-level atomic PV is considered. We explain the conditions for which the Carnot efficiency is reached and how it can be exceeded! The loss mechanisms - thermalization, angle entropy, and below-bandgap transmission - explain the gap between Carnot efficiency and the Shockley-Queisser limit. Wide varieties of techniques developed to reduce these losses (e.g., solar concentrators, solar-thermal, tandem cells, etc.) are reinterpreted by using a two level model. Remarkably, the simple model appears to capture the essence of PV operation and reproduce the key results and important insights that are known to the experts through complex derivations.

Alam, Muhammad A

2012-01-01T23:59:59.000Z

443

Fundamentals of PV Efficiency Interpreted by a Two-Level Model  

E-Print Network (OSTI)

Elementary physics of photovoltaic energy conversion in a two-level atomic PV is considered. We explain the conditions for which the Carnot efficiency is reached and how it can be exceeded! The loss mechanisms - thermalization, angle entropy, and below-bandgap transmission - explain the gap between Carnot efficiency and the Shockley-Queisser limit. Wide varieties of techniques developed to reduce these losses (e.g., solar concentrators, solar-thermal, tandem cells, etc.) are reinterpreted by using a two level model. Remarkably, the simple model appears to capture the essence of PV operation and reproduce the key results and important insights that are known to the experts through complex derivations.

Muhammad A. Alam; M. Ryyan Khan

2012-05-29T23:59:59.000Z

444

Mechanisms of plutonium sorption to mineral oxide surfaces: new insights with implications for colloid-enhanced migration  

SciTech Connect

New equilibrium and kinetic models have been developed to describe rate-limited sorption and desorption of Pu onto and off of mineral oxide surfaces using a generic approach to estimate sorption constants that require minimal laboratory calibrations. Equilibrium reactions describing a total of six surface species were derived from a combination of empirical relationships previously described in the literature and generated as part of this work. These sorption reactions and corresponding equilibrium constants onto goethite (and silica) are: ?SOH+?Pu?^(3+)??SO?Pu?^(2+)+H^+, Log K=-2.1 (-10) (1) ?SOH+?Pu?^(4+)??SO?Pu?^(3+)+H^+, Log K=15.3 (7.2) (2) ?SOH+PuO_2^+??SO?PuO?_2+H^+, Log K=-8.5 (-16.5) (3) ?SOH+PuO_2^(2+)??SOPuO_2^++H^+, Log K=1.2 (-6.5) (4) ?SOH+?Pu?^(4+)+3H_2 O??SOPu?(OH)?_3+4H^+, Log K=12.5 (4.6) (5) ?SOH+?Pu?^(4+)+4H_2 O??SOPu?(OH)?_4^-+5H^+, Log K=5.0 (-2.3) (6) The kinetic model decouples reduced (III, IV) and oxidized (V, VI) forms of Pu via a single rate-limiting, but reversible, surface mediated reaction: ?SOPuO_2+H_2 O ?(??k_1 )/?(??k_2 )?SOPu?(OH)?_3+?(1/2) H_(2(g)), ?Log k?_1=-5.3 (7) Where the reaction rate is equal to: -d[?SOPuO_2 ]/dt=k_1?[?Pu?_ox]-k_2?[?Pu?_RED] (8) and [PuOX] and [PuRED] are the sums of the oxidized (V and VI) and reduced (III and IV) surface species, respectively. Predictions using the equilibrium and kinetic models were validated against previously published experimental results, which give credence to the validity of the proposed mechanisms controlling the sorption of Pu onto mineral oxide surfaces. Of importance, a reversible, rate-limited, reaction successfully predicted time dependent behavior associated with Pu sorption onto goethite. Previously, researchers have suggested desorption of Pu to these surfaces is extremely slow or even irreversible. Model predictions based on such suggestions would severely overestimate the kinetic stability of Pu sorbed species and the overall importance that Pu sorption kinetics, alone, has on pseudo-colloid transport mechanisms.

Schwantes, Jon M.; Santschi, Peter H.

2009-12-31T23:59:59.000Z

445

Anthropogenic impacts on global storage and emissions of mercury from terrestrial soils: Insights from a new global  

E-Print Network (OSTI)

[1] We develop a mechanistic global model of soil mercury storage and emissions that ties the lifetime of mercury in soils to the lifetime of the organic carbon pools it is associated with. We explore the implications of considering terrestrial mercury cycling in the framework of soil carbon cycling and suggest possible avenues of future research to test our assumptions and constrain this type of model. In our simulation, input of mercury to soil is by atmospheric deposition, in part through leaf uptake and subsequent litter fall, and is moderated by surface photoreduction and revolatilization. Once bound to organic carbon, mercury is transferred along a succession of short?lived to long?lived carbon pools and is ultimately reemitted by respiration of these pools. We examine the legacy of anthropogenic influence on global mercury storage and emissions and estimate that storage of mercury in organic soils has increased by ?20 % since preindustrial times, while soil emissions have increased by a factor of 3 (2900 Mg yr ?1 versus 1000 Mg yr ?1). At steady state, mercury accumulates in the most recalcitrant soil carbon pools and has an overall lifetime against respiration of 630 years. However, the impact of anthropogenic emissions since preindustrial times has been concentrated in more labile pools, so that the mean lifetime of present?day anthropogenic mercury in all pools is ?80 years. Our analysis suggests that reductions in anthropogenic emissions would lead to immediate and large reductions in secondary soil mercury emissions.

Nicole V Smith?downey; Elsie M. Sunderl; Daniel J. Jacob

2010-01-01T23:59:59.000Z

446

Century Model Product Available  

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

Century Model Available The ORNL DAAC announces the availability of a new model product. The model product "CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4...

447

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

SciTech Connect

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

Donald Johnson, Todd Schaack

2007-06-08T23:59:59.000Z

448

Challenges in Modeling the Degradation of Ceramic Waste Forms  

Science Conference Proceedings (OSTI)

We identify the state of the art, gaps in current understanding, and key research needs in the area of modeling the long-term degradation of ceramic waste forms for nuclear waste disposition. The directed purpose of this report is to define a roadmap for Waste IPSC needs to extend capabilities of waste degradation to ceramic waste forms, which overlaps with the needs of the subconsinuum scale of FMM interests. The key knowledge gaps are in the areas of (i) methodology for developing reliable interatomic potentials to model the complex atomic-level interactions in waste forms; (ii) characterization of water interactions at ceramic surfaces and interfaces; and (iii) extension of atomic-level insights to the long time and distance scales relevant to the problem of actinide and fission product immobilization.

Devanathan, Ramaswami; Gao, Fei; Sun, Xin

2011-09-01T23:59:59.000Z

449

Modeling and Analysis Session: Market, Value, and Policy Analysis (Presentation)  

DOE Green Energy (OSTI)

The Primary objectives: to provide a broad range of analytical support to the Solar Program; and to anticipate and respond to the rapidly evolving analytical needs of the Solar Program. Three broad types of analysis are being carried out under this project including: (1) Market analysis: Developing a PV market penetration model--the SolarDS model--and other tools, in order to gain insight into the factors influencing market penetration of PV technology in U.S. markets. (2) Value analysis: Providing inputs to, support for, and review of the annual GPRA benefits analysis. Also developing methods and tools for improving the quantification of the benefits and cost of solar technologies. (3) Policy analysis: Defining and carrying out analysis that meets the needs of the Solar Energy Technologies Program in a timely fashion, for example evaluating the potential role of solar in the energy economy in the long-term.

Margolis, R. M.

2008-04-01T23:59:59.000Z

450

Nonlinear excitations in DNA: Aperiodic models vs actual genome sequences  

E-Print Network (OSTI)

We study the effects of the sequence on the propagation of nonlinear excitations in simple models of DNA in which we incorporate actual DNA sequences obtained from human genome data. We show that kink propagation requires forces over a certain threshold, a phenomenon already found for aperiodic sequences [F. Dom\\'\\i nguez-Adame {\\em et al.}, Phys. Rev. E {\\bf 52}, 2183 (1995)]. For forces below threshold, the final stop positions are highly dependent on the specific sequence. The results of our model are consistent with the stick-slip dynamics of the unzipping process observed in experiments. We also show that the effective potential, a collective coordinate formalism introduced by Salerno and Kivshar [Phys. Lett. A {\\bf 193}, 263 (1994)] is a useful tool to identify key regions in DNA that control the dynamical behavior of large segments. Additionally, our results lead to further insights in the phenomenology observed in aperiodic systems.

Sara Cuenda; Angel Sanchez

2004-07-02T23:59:59.000Z

451

Building a foundation for structure-based cellulosome design for cellulosic ethanol: Insight into cohesin-dockerin complexation from computer simulation  

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

Foundation for Structure-Based Cellulosome Design for Foundation for Structure-Based Cellulosome Design for Cellulosic Ethanol: Insight into Cohesin-Dockerin Complexation from Computer Simulation Jiancong Xu, 1,3 Michael Crowley, 2,3 and Jeremy C. Smith 1,3 1 Center for Molecular Biophysics, Building 6011, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA. 2 Chemical and Biosciences Center, National Renewable Energy Laboratory, 1617 Cole Blvd, Golden, CO, 80401-3393, USA 3 BioEnergy Science Center Corresponding author. Jiancong Xu, Building 6011, MS6309, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830, USA; E-mail: xuj1@ornl.gov; Phone: 865-241-9111; Fax: 865-576-7651. Running title. Computer simulation of cohesin-dockerin complexes. Manuscript pages: 29 Supplementary material pages: 4

452

Conversion for Avicel and AFEX pretreated corn stover by Clostridium thermocellum and simultaneous saccharification and fermentation: Insights into microbial conversion of pretreated cellulosic biomass  

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

for for Avicel and AFEX pretreated corn stover by Clostridium thermocellum and simultaneous saccharification and fermentation: Insights into microbial conversion of pretreated cellulosic biomass Xiongjun Shao a , Mingjie Jin b,c , Anna Guseva a , Chaogang Liu d , Venkatesh Balan b,c , David Hogsett d , Bruce E. Dale b,c , Lee Lynd a,d,⇑ a Thayer School of Engineering at Dartmouth College, 8000 Cummings Hall, Hanover, NH 03755, USA b Biomass Conversion Research Laboratory (BCRL), Department of Chemical Engineering and Materials Science, Michigan State University, MBI Building, 3900 Collins Road, Lansing, MI 48910, USA c Great Lakes Bioenergy Research Center (GLBRC), Michigan State University, East Lansing, MI 48824, USA d Mascoma Corporation, 67 Etna Road, Suite 300, Lebanon, NH 03766, USA a r t i c l e i n f o Article history: Received 8 March 2011 Received in revised form 6 May 2011 Accepted

453

Insights on radiological risks of US Department of Energy radioactive waste management alternatives in the Environmental Management Programmatic Environmental Impact Statement  

SciTech Connect

A Facility Accident Analysis (1) was performed in support of the US Department of Energy (DOE) Environmental Management (EM) Programmatic Environmental Impact Statement (PEIS). It used an integrated risk-based approach (2) to allow risk comparisons of EM PEIS strategies for consolidating the storage and treatment of wastes at different DOE sites throughout the country. This approach was developed in accordance with the latest National Environmental Protection Act (NEPA) compliance guidance from DOE (3), which calls for consideration of a spectrum of accident scenarios that could occur in implementing the various actions evaluated in the EM PEIS. This paper discusses our insights with respect to the likely importance of the relative treatment technologies, waste management facilities and operations, and waste consolidation strategies considered in the EM PEIS.

Mueller, C.

1994-12-31T23:59:59.000Z

454

On EPR-type Entanglement in the Experiments of Scully et Al. II. Insight in the Real Random Delayed-choice Erasure Experiment  

E-Print Network (OSTI)

It was pointed out in the first part of this study that EPR-type entanglement is defined by the possibility of performing any of two mutually incompatible distant, i. e.,direct-interaction-free, measurements. They go together under the term 'EPR-type disentanglement'. In this second part, quantum-mechanical insight is gained in the real random delayed-choice erasure experiment of Kim et al. [Kim et al.: Phys. Rev. Lett. 84, 1-5 (2000)] by a relative-reality-of- unitarily-evolving-state (RRUES) approach (explained in the first part). Finally, it is shown that this remarkable experiment, which performs, by random choice, two incompatible measurements at the same time, is actually an EPR-type disentanglement experiment, closely related to the micromaser experiment discussed in the first part.

Fedor Herbut

2008-08-23T23:59:59.000Z

455

A case for variational geomagnetic data assimilation: insights from a one-dimensional, nonlinear, and sparsely observed MHD system  

E-Print Network (OSTI)

Secular variations of the geomagnetic field have been measured with a continuously improving accuracy during the last few hundred years, culminating nowadays with satellite data. It is however well known that the dynamics of the magnetic field is linked to that of the velocity field in the core and any attempt to model secular variations will involve a coupled dynamical system for magnetic field and core velocity. Unfortunately, there is no direct observation of the velocity. Independently of the exact nature of the above-mentioned coupled system -- some version being currently under construction -- the question is debated in this paper whether good knowledge of the magnetic field can be translated into good knowledge of core dynamics. Furthermore, what will be the impact of the most recent and precise geomagnetic data on our knowledge of the geomagnetic field of the past and future? These questions are cast into the language of variational data assimilation, while the dynamical system considered in this pape...

Fournier, Alexandre; Alboussière, Thierry

2007-01-01T23:59:59.000Z

456

OBSERVATIONAL PROPERTIES OF THE METAL-POOR THICK DISK OF THE MILKY WAY AND INSIGHTS INTO ITS ORIGINS  

SciTech Connect

We have undertaken the study of the elemental abundances and kinematic properties of a metal-poor sample of candidate thick-disk stars selected from the Radial Velocity Experiment spectroscopic survey of bright stars to differentiate among the present scenarios of the formation of the thick disk. In this paper, we report on a sample of 214 red giant branch, 31 red clump/horizontal branch, and 74 main-sequence/sub-giant branch metal-poor stars, which serves to augment our previous sample of only giant stars. We find that the thick disk [{alpha}/Fe] ratios are enhanced and have little variation (<0.1 dex), in agreement with our previous study. The augmented sample further allows, for the first time, investigation of the gradients in the metal-poor thick disk. For stars with [Fe/H] < -1.2, the thick disk shows very small gradients, <0.03 {+-} 0.02 dex kpc{sup -1}, in {alpha}-enhancement, while we find a +0.01 {+-} 0.04 dex kpc{sup -1} radial gradient and a -0.09 {+-} 0.05 dex kpc{sup -1} vertical gradient in iron abundance. In addition, we show that the peak of the distribution of orbital eccentricities for our sample agrees better with models in which the stars that comprise the thick disk were formed primarily in the Galaxy, with direct accretion of stars contributing little. Our results thus disfavor direct accretion of stars from dwarf galaxies into the thick disk as a major contributor to the thick-disk population, but cannot discriminate between alternative models for the thick disk, such as those that invoke high-redshift (gas-rich) mergers, heating of a pre-existing thin stellar disk by a minor merger, or efficient radial migration of stars.

Ruchti, Gregory R.; Fulbright, Jon P.; Wyse, Rosemary F. G. [Bloomberg Center for Physics and Astronomy, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218 (United States); Gilmore, Gerard F. [Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA (United Kingdom); Bienayme, Olivier; Siebert, Arnaud [Observatoire de Strasbourg, 11 Rue de L'Universite, 67000 Strasbourg (France); Bland-Hawthorn, Joss [Sydney Institute for Astronomy, School of Physics A28, University of Sydney, NSW 2006 (Australia); Gibson, Brad K. [Jeremiah Horrocks Institute for Astrophysics and Super-computing, University of Central Lancashire, Preston PR1 2HE (United Kingdom); Grebel, Eva K. [Astronomisches Rechen-Institut, Zentrum fuer Astronomie der Universitaet Heidelberg, Moenchhofstr. 12-14, 69120 Heidelberg (Germany); Helmi, Amina [Kapteyn Astronomical Institute, University of Groningen, Postbus 800, 9700 AV Groningen (Netherlands); Munari, Ulisse [INAF Osservatorio Astronomico di Padova, Via dell'Osservatorio 8, Asiago I-36012 (Italy); Navarro, Julio F. [Department of Physics and Astronomy, University of Victoria, P.O. Box 3055, Station CSC, Victoria, BC V8W 3P6 (Canada); Parker, Quentin A.; Reid, Warren [Department of Physics and Astronomy, Macquarie University, Sydney, NSW 2109 (Australia); Seabroke, George M. [Mullard Space Science Laboratory, University College London, Holmbury St. Mary, Dorking RH5 6NT (United Kingdom); Siviero, Alessandro [Department of Astronomy, Padova University, Vicolo dell'Osservatorio 2, Padova 35122 (Italy); Steinmetz, Matthias; Williams, Mary [Leibniz-Institut fuer Astrophysik Potsdam (AIP), An der Sternwarte 16, 14482 Potsdam (Germany); Watson, Fred G. [Australian Astronomical Observatory, Coonabarabran, NSW 2357 (Australia); Zwitter, Tomaz, E-mail: gruchti@mpa-garching.mpg.de [Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, Ljubljana (Slovenia)

2011-08-10T23:59:59.000Z

457

Geothermal Electricity Technologies Evaluation Model DOE Tool for Assessing Impact of Research on Cost of Power  

DOE Green Energy (OSTI)

The U.S. Department of Energy (DOE) has developed a spreadsheet model to provide insight as to how its research activities can impact of cost of producing power from geothermal energy. This model is referred to as GETEM, which stands for “Geothermal Electricity Technologies Evaluation Model”. Based on user input, the model develops estimates of costs associated with exploration, well field development, and power plant construction that are used along with estimated operating costs to provide a predicted power generation cost. The model allows the user to evaluate how reductions in cost, or increases in performance or productivity will impact the predicted power generation cost. This feature provides a means of determining how specific technology improvements can impact generation costs, and as such assists DOE in both prioritizing research areas and identifying where research is needed.

Greg Mines

2008-01-01T23:59:59.000Z

458

Perfromance analysis of the Parallel Community Atmosphere Model (CAM) application  

E-Print Network (OSTI)

Efficient execution of parallel applications requires insight into how the parallel system features impact the performance of the application. Significant experimental analysis and the development of performance models enhance the understanding of such an impact. Deep understanding of an application’s major kernels and their design leads to a better understanding of the application’s performance, and hence, leads to development of better performance models. The Community Atmosphere Model (CAM) is the latest in a series of global atmospheric models developed at the National Center for Atmospheric Research (NCAR) as a community tool for NCAR and the university research community. This work focuses on analyzing CAM and understanding the impact of different architectures on this application. In the analysis of CAM, kernel coupling, which quantifies the interaction between adjacent and chains of kernels in an application, is used. All experiments are conducted on four parallel platforms: NERSC (National Energy Research Scientific Computing Center) Seaborg, SDSC (San Diego Supercomputer Center) DataStar P655, DataStar P690 and PSC (Pittsburgh Supercomputing Center) Lemieux. Experimental results indicate that kernel coupling gave an insight into many of the application characteristics. One important characteristic of CAM is that its performance is heavily dependent on a parallel platform memory hierarchy; different cache sizes and different cache policies had the major effect on CAM’s performance. Also, coupling values showed that although CAM’s kernels share many data structures, most of the coupling values are still destructive (i.e., interfering with each other so as to adversely affect performance). The kernel coupling results helps developers in pointing out the bottlenecks in memory usage in CAM. The results obtained from processor partitioning are significant in helping CAM users in choosing the right platform to run CAM.

Shawky Sharkawi, Sameh Sherif

2006-08-01T23:59:59.000Z

459

Modelling osteomyelitis  

E-Print Network (OSTI)

-related Figure 2 Box plot representation of the gene expression of 82 genes corresponding to a) 48 osteomyelitis infected patients and b) 27 healthy controls). Liò et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http... (2):206-215. 11. Liò P, Merelli E, Paoletti N: Multiple verification in computational modeling of bone pathologies. CompMod 2011, 82-96. Liò et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http://www.biomedcentral.com/bmcbioinformatics/supplements/13/S14/S12 Page...

Liò, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco

2012-09-07T23:59:59.000Z

460

In Silico Modeling of Geobacter Species.  

DOE Green Energy (OSTI)

This project employed a combination of in silico modeling and physiological studies to begin the construction of models that could predict the activity of Geobacter species under different environmental conditions. A major accomplishment of the project was the development of the first genome-based models of organisms known environmental relevance. This included the modeling of two Geobacter species and two species of Pelobacter. Construction of these models required increased sophistication in the annotation of the original draft genomes as well as collection of physiological data on growth yields, cell composition, and metabolic reactions. Biochemical studies were conducted to determine whether proposed enzymatic reactions were in fact expressed. During this process we developed an Automodel Pipeline process to accelerate future model development of other environmentally relevant organisms by using bioinformatics techniques to leverage predicted protein sequences and the Genomatica database containing a collection of well-curated metabolic models. The Automodel Pipeline was also used for iterative updating of the primary Geobacter model of G. sulfurreducens to expand metabolic functions or to add alternative pathways. Although each iteration of the model does not lead to another publication, it is an invaluable resource for hypothesis development and evaluation of experimental data. In order to develop a more accurate G. sulfurreducens model, a series of physiological studies that could be analyzed in the context of the model were carried out. For example, previous field trials of in situ uranium bioremediation demonstrated that Geobacter species face an excess of electron donor and a limitation of electron acceptor near the point of acetate injection into the groundwater. Therefore, a model-based analysis of electron acceptor limitation physiology was conducted and model predictions were compared with growth observed in chemostats. Iterative studies resulted in the model accurately predicting acetate oxidation and electron acceptor reduction. The model also predicted that G. sulfurreducens must release hydrogen under electron-accepting conditions in order to maintain charge and electron balance. This prediction was borne out by subsequent hydrogen measurements. Furthermore, changes in gene expression were consistent with model predictions of flux changes around central metabolism. The model revealed multiple redundant pathways in central metabolism suggesting an apparent versatility unusual in microbial metabolism. The computational analysis led to the identification of 32 reactions that participated in eight sets of redundant pathways. The computational results guided the design of strains with mutations in key reactions to elucidate the role of the alternate pathways and obtain information on their physiological function. A total of seven strains with mutations in genes encoding five metabolic reactions were constructed and their phenotypes analyzed in 12 different environments. This analysis revealed several interesting insights on the role of the apparent redundant pathways. 13C labeling approaches were developed for further elucidation of metabolic pathways with model-driven interpretation. For example, the model was used to calculate the optimal acetate 13C labeling ratio for distinguishing flux through various pathways based on amino acid isotopomer distributions. With this method it was possible to elucidate the pathways for amino acid biosynthesis. Surprisingly, the labeling pattern of isoleucine deviated significantly from what was predicted by the metabolic reconstruction. Detailed analysis of the labeling patterns with the model led to the discovery that there are two pathways for leucine biosynthesis, including a novel citramalate pathway that was subsequently confirmed with biochemical analysis. In summary, the combined computational and experimental studies have been instrumental in further characterizing the central metabolism of members of the Geobacteraceae. Furthermore, the methods developed in these

Lovley, Derek, R.

2008-01-29T23:59:59.000Z

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461

GEOMETRY, HEAT REMOVAL AND KINETICS SCOPING MODELS FOR HYDROGEN STORAGE SYSTEMS  

DOE Green Energy (OSTI)

It is recognized that detailed models of proposed hydrogen storage systems are essential to gain insight into the complex processes occurring during the charging and discharging processes. Such insight is an invaluable asset for both assessing the viability of a particular system and/or for improving its design. The detailed models, however, require time to develop and run. Clearly, it is much more efficient to begin a modeling effort with a good system design and to progress from that point. To facilitate this approach, it is useful to have simplified models that can quickly estimate optimal loading and discharge kinetics, effective hydrogen capacities, system dimensions and heat removal requirements. Parameters obtained from these models can then be input to the detailed models to obtain an accurate assessment of system performance that includes more complete integration of the physical processes. This report describes three scoping models that assess preliminary system design prior to invoking a more detailed finite element analysis. The three models address the kinetics, the scaling and heat removal parameters of the system, respectively. The kinetics model is used to evaluate the effect of temperature and hydrogen pressure on the loading and discharge kinetics. As part of the kinetics calculations, the model also determines the mass of stored hydrogen per mass of hydride (in a particular reference form). As such, the model can determine the optimal loading and discharge rates for a particular hydride and the maximum achievable loading (over an infinite period of time). The kinetics model developed with the Mathcad{reg_sign} solver, runs in a mater of seconds and can quickly be used to identify the optimal temperature and pressure for either the loading or discharge processes. The geometry scoping model is used to calculate the size of the system, the optimal placement of heat transfer elements, and the gravimetric and volumetric capacities for a particular geometric configuration and hydride. This scoping model is developed in Microsoft Excel{reg_sign} and inputs the mass of hydrogen to be stored, mass of stored hydrogen to mass of hydride (from the kinetics model), component densities, etc. The heat removal scoping model is used to calculate coolant flowrates, pressure drops and temperature increases over the length of the cooling channels. The model also calculates the convection heat transfer coefficient required to remove the heat of reaction associated with hydrogen uptake. The heat removal model inputs dimensions and the mass of hydrogen to be stored directly from the geometry scoping model. Additionally, the model inputs the heats of reaction, the thermal properties of the coolant and the time required to charge the bed.

Hardy, B

2007-11-16T23:59:59.000Z

462