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Note: This page contains sample records for the topic "fuels model capital" from the National Library of EnergyBeta (NLEBeta).
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1

Operating and Capital Expenditures Models  

Science Journals Connector (OSTI)

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

2009-01-01T23:59:59.000Z

2

Electroweak stars: how nature may capitalize on the standard model's ultimate fuel  

SciTech Connect

We study the possible existence of an electroweak star — a compact stellar-mass object whose central core temperature is higher than the electroweak symmetry restoration temperature. We found a solution to the Tolman-Oppenheimer-Volkoff equations describing such an object. The parameters of such a star are not substantially different from a neutron star — its mass is around 1.3 Solar masses while its radius is around 8km. What is different is the existence of a small electroweak core. The source of energy in the core that can at least temporarily balance gravity are standard-model non-perturbative baryon number (B) and lepton number (L) violating processes that allow the chemical potential of B+L to relax to zero. The energy released at the core is enormous, but gravitational redshift and the enhanced neutrino interaction cross section at these energies make the energy release rate moderate at the surface of the star. The lifetime of this new quasi-equilibrium can be more than ten million years. This is long enough to represent a new stage in the evolution of a star if stellar evolution can take it there.

Dai, De-Chang; Stojkovic, Dejan [Department of Physics, SUNY at Buffalo, 239 Fronczak Hall, Buffalo, NY 14260-1500 (United States); Lue, Arthur; Starkman, Glenn, E-mail: ddai@buffalo.edu, E-mail: shinypup@gmail.com, E-mail: gds6@case.edu, E-mail: ds77@buffalo.edu [CERCA, Department of Physics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106-7079 U.S.A (United States)

2010-12-01T23:59:59.000Z

3

Pie Model of Capital Structure  

Science Journals Connector (OSTI)

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

2006-01-01T23:59:59.000Z

4

Assessment of PNGV fuels infrastructure. Phase 1 report: Additional capital needs and fuel-cycle energy and emissions impacts  

SciTech Connect

This report presents the methodologies and results of Argonne`s assessment of additional capital needs and the fuel-cycle energy and emissions impacts of using six different fuels in the vehicles with tripled fuel economy (3X vehicles) that the Partnership for a New Generation of Vehicles is currently investigating. The six fuels included in this study are reformulated gasoline, low-sulfur diesel, methanol, ethanol, dimethyl ether, and hydrogen. Reformulated gasoline, methanol, and ethanol are assumed to be burned in spark-ignition, direct-injection engines. Diesel and dimethyl ether are assumed to be burned in compression-ignition, direct-injection engines. Hydrogen and methanol are assumed to be used in fuel-cell vehicles. The authors have analyzed fuels infrastructure impacts under a 3X vehicle low market share scenario and a high market share scenario. The assessment shows that if 3X vehicles are mass-introduced, a considerable amount of capital investment will be needed to build new fuel production plants and to establish distribution infrastructure for methanol, ethanol, dimethyl ether, and hydrogen. Capital needs for production facilities will far exceed those for distribution infrastructure. Among the four fuels, hydrogen will bear the largest capital needs. The fuel efficiency gain by 3X vehicles translates directly into reductions in total energy demand, fossil energy demand, and CO{sub 2} emissions. The combination of fuel substitution and fuel efficiency results in substantial petroleum displacement and large reductions in emissions of nitrogen oxide, carbon monoxide, volatile organic compounds, sulfur oxide, and particulate matter of size smaller than 10 microns.

Wang, M.; Stork, K.; Vyas, A.; Mintz, M.; Singh, M.; Johnson, L.

1997-01-01T23:59:59.000Z

5

Latent Class Models in action: Bridging social capital & Internet usage  

Science Journals Connector (OSTI)

Abstract This paper explores how Latent Class Models (LCM) can be applied in social research, when the basic assumptions of regression models cannot be validated. We examine the usefulness of this method with data collected from a study on the relationship between bridging social capital and the Internet. Social capital is defined here as the resources that are potentially available in one’s social ties. Bridging is a dimension of social capital, usually related to weak ties (acquaintances), and a source of instrumental resources such as information. The study surveyed a stratified random sample of 417 inhabitants of Lisbon, Portugal. We used LCM to create the variable bridging social capital, but also to estimate the relationship between bridging social capital and Internet usage when we encountered convergence problems with the logistic regression analysis. We conclude by showing a positive relationship between bridging and Internet usage, and by discussing the potential of LCM for social science research.

Barbara Barbosa Neves; Jaime R.S. Fonseca

2015-01-01T23:59:59.000Z

6

CAPITAL FOR ENERGY AND INTER-FUEL ELASTICITIES OF SUBSTITUTION  

E-Print Network (OSTI)

substitution elasticity and inter-fuel substitution elasticities, determine how much a change in the price the standard econometric approach, grounded in behaviorally realistic historical statistics, and linear

7

Human capital needs - teaching, training and coordination for nuclear fuel cycle  

SciTech Connect

Human capital is the accumulation of competencies, knowledge, social and creativity skills and personality attributes, which are necessary to perform work so as to produce economic value. In the frame of the nuclear fuel cycle, this is of paramount importance that the right human capital exists and in Europe this is fostered by a series of integrated or directed projects. The teaching, training and coordination will be discussed in the frame of University curricula with examples from several programs, like e.g. the Master of Nuclear Engineering at Chalmers University, Sweden and two FP7 EURATOM Projects: CINCH - a project for cooperation in nuclear chemistry - and ASGARD - a research project on advanced or novel nuclear fuels and their reprocessing issues for generation IV reactors. The integration of the university curricula in the market needs but also the anchoring in the research and future fuel cycles will be also discussed, with examples from the ASGARD project. (authors)

Retegan, T.; Ekberg, C. [Department of Chemistry and Biological Engineering, Nuclear Chemistry, Chalmers University of Technology, Kemivaegen 4, 41296 Gothenburg (Sweden); John, J. [Department of Nuclear Chemistry, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Brehova 7, 115 19 Prague 1 (Czech Republic); Nordlund, A. [Nuclear Engineering, Chalmers University of Technology, Kemivaegen 4, 41296 Gothenburg (Sweden)

2013-07-01T23:59:59.000Z

8

The implications of using hydrocarbon fuels to generate electricity for hydrogen fuel powered automobiles on electrical capital, hydrocarbon consumption, and anthropogenic emissions  

Science Journals Connector (OSTI)

This paper considers some of the impacts of adopting hydrogen fuel cell powered electric automobiles in the US. The change will need significant adjustments to the electrical generation industry including additional capital and hydrocarbon fuel consumption as well as impacting anthropogenic greenhouse emissions. Examining the use of three fuels to generate hydrogen fuels, using three production methods, distributed in three geographic scenarios, we determine that while the change reduces anthropogenic greenhouse emissions with minimal additional electrical generation capital expenditures, it accelerates the use of natural gas. Electrolysis provides a sustainable, longer-term solution, but requires more capital investment in electrical generation and yields an increase in anthropogenic greenhouse emissions.

Derek Tittle; Jingwen Qu

2013-01-01T23:59:59.000Z

9

DOE Hydrogen Analysis Repository: Hydrogen Fueling Station Economics Model  

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

Fueling Station Economics Model Fueling Station Economics Model Project Summary Full Title: Hydrogen Fueling Station Economics Model Project ID: 193 Principal Investigator: Bill Liss Brief Description: The Gas Technology Institute developed a hydrogen fueling station economics model as part of their project to develop a natural gas to hydrogen fuel station. Keywords: Compressed gas; vehicle; refueling station; cost; natural gas Purpose Calculate hydrogen fueling station costs, including capital, operating, and maintenance costs. Performer Principal Investigator: Bill Liss Organization: Gas Technology Institute Address: 1700 South Mount Prospect Road Des Plains, IL 60018-1804 Telephone: 847-768-0530 Email: william.liss@gastechnology.org Project Description Type of Project: Model Category: Hydrogen Fuel Pathways

10

Modelling microscale fuel cells.  

E-Print Network (OSTI)

??The focus of this work is to investigate transport phenomena in recently developed microscale fuel cell designs using computational fluid dynamics (CFD). Two microscale fuel… (more)

Bazylak, Aimy Ming Jii

2009-01-01T23:59:59.000Z

11

Joint Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen Delivery, Storage and  

E-Print Network (OSTI)

. ­ The current capital costs for the hydrogen pipelines in the model are based on 1.1X the price of steel natural that the refueling station default compressor capital costs are based on a 300 psi inlet pressure.) 2. CurrentJoint Meeting on Hydrogen Delivery Modeling and Analysis FreedomCAR and Fuels Partnership Hydrogen

12

Modelling transport fuel demand  

Science Journals Connector (OSTI)

Transport fuels account for an increasing share of oil ... interest to study the economics of the transport fuel market and thereby to evaluate the efficiency of the price mechanism as an instrument of policy in ...

Thomas Sterner; Carol A. Dahl

1992-01-01T23:59:59.000Z

13

DYNAMIC MODELING FUEL PROCESSORS  

E-Print Network (OSTI)

for reusability, rapid development and assessment of complete system, and design improvement from simulation results BACKGROUND · Fuel cell based power systems are becoming increasingly important in aeronautical applications · Reformer based fuel cell systems make the technology amenable to logistic fuels such as diesel

Mease, Kenneth D.

14

Discrete Event Modeling of Algae Cultivation and Harvesting at Commercial Scale: Capital Costs, Operating Costs, and System Bottlenecks  

SciTech Connect

Discrete Event Modeling of Algae Cultivation and Harvesting at Commercial Scale: Capital Costs, Operating Costs, and System Bottlenecks

Lacey, Ph.D, P.E., Ronald E. [Texas A& M University

2012-07-16T23:59:59.000Z

15

Fuel consumption model for FREFLO  

E-Print Network (OSTI)

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

16

Chemical Kinetic Modeling of Fuels  

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

petroleum based fuels * Non-petroleum based fuels: - Biodiesel and new generation biofuels - Fischer-Tropsch (F-T) fuels - Oil sand derived fuels Reduce mechanisms for...

17

Alternative Liquid Fuels Simulation Model (AltSim).  

SciTech Connect

The Alternative Liquid Fuels Simulation Model (AltSim) is a high-level dynamic simulation model which calculates and compares the production costs, carbon dioxide emissions, and energy balances of several alternative liquid transportation fuels. These fuels include: corn ethanol, cellulosic ethanol, biodiesel, and diesels derived from natural gas (gas to liquid, or GTL) and coal (coal to liquid, or CTL). AltSim allows for comprehensive sensitivity analyses on capital costs, operation and maintenance costs, renewable and fossil fuel feedstock costs, feedstock conversion efficiency, financial assumptions, tax credits, CO{sub 2} taxes, and plant capacity factor. This paper summarizes the preliminary results from the model. For the base cases, CTL and cellulosic ethanol are the least cost fuel options, at $1.60 and $1.71 per gallon, respectively. Base case assumptions do not include tax or other credits. This compares to a $2.35/gallon production cost of gasoline at September, 2007 crude oil prices ($80.57/barrel). On an energy content basis, the CTL is the low cost alternative, at $12.90/MMBtu, compared to $22.47/MMBtu for cellulosic ethanol. In terms of carbon dioxide emissions, a typical vehicle fueled with cellulosic ethanol will release 0.48 tons CO{sub 2} per year, compared to 13.23 tons per year for coal to liquid.

Baker, Arnold Barry; Williams, Ryan (Hobart and William Smith Colleges, Geneva, NY); Drennen, Thomas E.; Klotz, Richard (Hobart and William Smith Colleges, Geneva, NY)

2007-10-01T23:59:59.000Z

18

Model Year 1999 Fuel Economy Guide  

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

FUEL FUEL ECONOMY GUIDE MODEL YEAR 1999 DOE/EE-0178 Fuel Economy Estimates October 1998 1 CONTENTS PAGE Purpose of the Guide ..................................................... 1 Interior Volume ................................................................ 1 How the Fuel Economy Estimates are Obtained ........... 1 Factors Affecting MPG .................................................... 2 Fuel Economy and Climate Change ............................... 2 Gas Guzzler Tax ............................................................. 2 Vehicle Classes Used in This Guide. .............................. 2 Annuel Fuel Costs .......................................................... 3 How to Use the Guide .................................................... 4 Where to Re-order Guides

19

Chemical Kinetic Modeling of Advanced Transportation Fuels  

SciTech Connect

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

20

Spent nuclear fuel reprocessing modeling  

SciTech Connect

The long-term wide development of nuclear power requires new approaches towards the realization of nuclear fuel cycle, namely, closed nuclear fuel cycle (CNFC) with respect to fission materials. Plant nuclear fuel cycle (PNFC), which is in fact the reprocessing of spent nuclear fuel unloaded from the reactor and the production of new nuclear fuel (NF) at the same place together with reactor plant, can be one variant of CNFC. Developing and projecting of PNFC is a complicated high-technology innovative process that requires modern information support. One of the components of this information support is developed by the authors. This component is the programme conducting calculations for various variants of process flow sheets for reprocessing SNF and production of NF. Central in this programme is the blocks library, where the blocks contain mathematical description of separate processes and operations. The calculating programme itself has such a structure that one can configure the complex of blocks and correlations between blocks, appropriate for any given flow sheet. For the ready sequence of operations balance calculations are made of all flows, i.e. expenses, element and substance makeup, heat emission and radiation rate are determined. The programme is open and the block library can be updated. This means that more complicated and detailed models of technological processes will be added to the library basing on the results of testing processes using real equipment, in test operating mode. The development of the model for the realization of technical-economic analysis of various variants of technologic PNFC schemes and the organization of 'operator's advisor' is expected. (authors)

Tretyakova, S.; Shmidt, O.; Podymova, T.; Shadrin, A.; Tkachenko, V. [Bochvar Institute, 5 Rogova str., Moscow 123098 (Russian Federation); Makeyeva, I.; Tkachenko, V.; Verbitskaya, O.; Schultz, O.; Peshkichev, I. [Russian Federal Nuclear Center - VNIITF E.I. Zababakhin, p.o.box 245, Snezhinsk, 456770 (Russian Federation)

2013-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Vehicle Technologies Office Merit Review 2014: Alternative Fueling Diversity in the Energy Capital of the World  

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

Presentation given by City of Houston-Galveston Council at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about alternative...

22

Public expenditures on education, human capital and growth in Canada: An OLG model analysis  

Science Journals Connector (OSTI)

Much of the current debate in ageing countries focuses on whether governments should increase investments in human capital. We address this issue by simulating the effects of additional education spending using an overlapping-generations model applied to Canada. In the context of population ageing, the results indicate that how the policy is funded has powerful impacts on the targeted outcomes. Higher education incentives may increase the rate of human capital accumulation and mitigate the negative effects of slowing labour force growth. However, the impact depends on the distortions implied by alternative tax instruments and the efficiency of public expenditures on education.

Nabil Annabi; Simon Harvey; Yu Lan

2011-01-01T23:59:59.000Z

23

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...  

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

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's...

24

Accumulation of R&D Capital and Dynamic Firm Performance: a Not-so-Fixed Effect Model  

Science Journals Connector (OSTI)

Considering the observed patterns of R&D investment, we argue that a model which ... with a positive feedback in the accumulation of R&D capital. The empirical model is econometrically simple and less data-demand...

Tor Jakob Klette; Frode Johansen

2000-01-01T23:59:59.000Z

25

VISION: Verifiable Fuel Cycle Simulation Model  

SciTech Connect

The nuclear fuel cycle is a very complex system that includes considerable dynamic complexity as well as detail complexity. In the nuclear power realm, there are experts and considerable research and development in nuclear fuel development, separations technology, reactor physics and waste management. What is lacking is an overall understanding of the entire nuclear fuel cycle and how the deployment of new fuel cycle technologies affects the overall performance of the fuel cycle. The Advanced Fuel Cycle Initiative’s systems analysis group is developing a dynamic simulation model, VISION, to capture the relationships, timing and delays in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works and can transition as technologies are changed. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model and some examples of how to use VISION.

Jacob J. Jacobson; Abdellatif M. Yacout; Gretchen E. Matthern; Steven J. Piet; David E. Shropshire

2009-04-01T23:59:59.000Z

26

Used Fuel Degradation: Experimental and Modeling Report  

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

The report describes the strategy for coupling process level models to produce an integrated Used Fuel Degradation Model (FDM), and addresses fractional degradation rate, instant release fractions, other continuum modeling approaches, and experimental support.

27

From a “consensus” to a “disorganized” model of Japanese capitalism: the emergence of new forms of labour activism.  

E-Print Network (OSTI)

??The coordination between the socio-economic institutions which constituted the post-war model of Japanese capitalism has been continuously undermined from the 1990s onward. This include the… (more)

Shibata, Saori

2015-01-01T23:59:59.000Z

28

Used Fuel Testing Transportation Model  

SciTech Connect

This report identifies shipping packages/casks that might be used by the Used Nuclear Fuel Disposition Campaign Program (UFDC) to ship fuel rods and pieces of fuel rods taken from high-burnup used nuclear fuel (UNF) assemblies to and between research facilities for purposes of evaluation and testing. Also identified are the actions that would need to be taken, if any, to obtain U.S. Nuclear Regulatory (NRC) or other regulatory authority approval to use each of the packages and/or shipping casks for this purpose.

Ross, Steven B.; Best, Ralph E.; Maheras, Steven J.; Jensen, Philip J.; England, Jeffery L.; LeDuc, Dan

2014-09-24T23:59:59.000Z

29

Liquid Fuels Market Model (LFMM) Unveiling LFMM  

Gasoline and Diesel Fuel Update (EIA)

Implementation of the Renewable Fuel Implementation of the Renewable Fuel Standard (RFS) in the Liquid Fuels Market Module (LFMM) of NEMS Michael H. Cole, PhD, PE michael.cole@eia.gov August 1, 2012 | Washington, DC LFMM / NEMS overview 2 M. Cole, EIA Advanced Biofuels Workshop August 1, 2012 | Washington, DC * LFMM is a mathematical representation of the U.S. liquid fuels market (motor gasoline, diesel, biofuels, etc.). EIA analysts use LFMM to project motor fuel prices and production approaches through 2040. * LFMM is a cost-minimization linear program (LP). For a given set of fuel demands, LFMM will find the least-cost means of satisfying those demands, subject to various constraints (such as the RFS). * LFMM is part of the National Energy Modeling System (NEMS), which is a computer model of the U.S. energy economy. EIA uses

30

Renewable Fuel Vehicle Modeling and Analysis | Department of...  

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

Renewable Fuel Vehicle Modeling and Analysis Renewable Fuel Vehicle Modeling and Analysis 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer...

31

VISION: Verifiable Fuel Cycle Simulation Model  

SciTech Connect

The nuclear fuel cycle consists of a set of complex components that work together in unison. In order to support the nuclear renaissance, it is necessary to understand the impacts of changes and timing of events in any part of the fuel cycle system. The Advanced Fuel Cycle Initiative’s systems analysis group is developing a dynamic simulation model, VISION, to capture the relationships, timing, and changes in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model components and some examples of how to use VISION.

Jacob Jacobson; A. M. Yacout; Gretchen Matthern; Steven Piet; David Shropshire; Tyler Schweitzer

2010-11-01T23:59:59.000Z

32

Modeling of solid oxide fuel cells  

E-Print Network (OSTI)

A comprehensive membrane-electrode assembly (MEA) model of Solid Oxide Fuel Cell (SOFC)s is developed to investigate the effect of various design and operating conditions on the cell performance and to examine the underlying ...

Lee, Won Yong, S.M. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

33

Fundamental Models for Fuel Cell Engineering Chao-Yang Wang*  

E-Print Network (OSTI)

Diagnostics 4757 4.4. Model Validation 4758 4.5. Summary and Outlook 4760 5. Solid Oxide Fuel Cells 4760 5 electrolyte fuel cells (PEFCs), direct methanol fuel cells (DMFCs), and solid oxide fuel cells (SOFCs). AlsoFundamental Models for Fuel Cell Engineering Chao-Yang Wang* Departments of Mechanical Engineering

34

Fuel Cell Technologies Office: Transport Modeling Working Group  

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

Transport Modeling Transport Modeling Working Group to someone by E-mail Share Fuel Cell Technologies Office: Transport Modeling Working Group on Facebook Tweet about Fuel Cell Technologies Office: Transport Modeling Working Group on Twitter Bookmark Fuel Cell Technologies Office: Transport Modeling Working Group on Google Bookmark Fuel Cell Technologies Office: Transport Modeling Working Group on Delicious Rank Fuel Cell Technologies Office: Transport Modeling Working Group on Digg Find More places to share Fuel Cell Technologies Office: Transport Modeling Working Group on AddThis.com... Key Activities Plans, Implementation, & Results Accomplishments Organization Chart & Contacts Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation

35

Certified Capital Companies (Missouri) | Department of Energy  

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

Certified Capital Companies (Missouri) Certified Capital Companies (Missouri) Certified Capital Companies (Missouri) < Back Eligibility Agricultural Commercial Construction Developer Fuel Distributor Industrial Institutional Retail Supplier Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Missouri Program Type Equity Investment Provider Missouri Department of Economic Development Certified Capital Companies (CAPCO), the creation of the Department of Economic Development (DED,) are venture capital firms which have certain requirements to make equity investments in eligible businesses in Missouri. To qualify for CAPCO funding, businesses must be independently owned, headquartered in Missouri and employ less than 200 persons before the

36

One dimensional modeling of planar solid oxide fuel cell.  

E-Print Network (OSTI)

??Using modeling and simulation, the present work offers parametric study for Planar Solid Oxide Fuel Cell (PSOFC) as a function of fuel gas composition. The… (more)

Ghosh, Ujjal

2005-01-01T23:59:59.000Z

37

Mathematical modeling of solid oxide fuel cells using hydrocarbon fuels  

E-Print Network (OSTI)

Solid oxide fuel cells (SOFCs) are high efficiency conversion devices that use hydrogen or light hydrocarbon (HC) fuels in stationary applications to produce quiet and clean power. While successful, HC-fueled SOFCs face ...

Lee, Won Yong, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

38

Model documentation renewable fuels module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1995 Annual Energy Outlook (AEO95) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. The RFM consists of six analytical submodules that represent each of the major renewable energy resources--wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. The RFM also reads in hydroelectric facility capacities and capacity factors from a data file for use by the NEMS Electricity Market Module (EMM). The purpose of the RFM is to define the technological, cost and resource size characteristics of renewable energy technologies. These characteristics are used to compute a levelized cost to be competed against other similarly derived costs from other energy sources and technologies. The competition of these energy sources over the NEMS time horizon determines the market penetration of these renewable energy technologies. The characteristics include available energy capacity, capital costs, fixed operating costs, variable operating costs, capacity factor, heat rate, construction lead time, and fuel product price.

NONE

1995-06-01T23:59:59.000Z

39

Fuel Cell Power (FCPower) Model | Open Energy Information  

Open Energy Info (EERE)

Fuel Cell Power (FCPower) Model Fuel Cell Power (FCPower) Model Jump to: navigation, search Tool Summary Name: Fuel Cell Power (FCPower) Model Agency/Company /Organization: United States Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen Topics: Finance Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.hydrogen.energy.gov/fc_power_analysis.html Cost: Free OpenEI Keyword(s): EERE tool Fuel Cell Power (FCPower) Model Screenshot References: DOE Fuel Cell Power Analysis[1] Logo: Fuel Cell Power (FCPower) Model The Fuel Cell Power (FCPower) Model is a financial tool for analyzing high-temperature, fuel cell-based tri-generation systems. "The Fuel Cell Power (FCPower) Model is a financial tool for analyzing

40

CONTROL-ORIENTED MODEL OF AN INTEGRATED FUEL CELL STACK AND FUEL  

E-Print Network (OSTI)

CONTROL-ORIENTED MODEL OF AN INTEGRATED FUEL CELL STACK AND FUEL PROCESSOR SYSTEM 1 Jay T feed to the PEM-FC. Cost and performance requirements of the total powertrain typically lead to highly and conditions. Keywords: Fuel Cell, Fuel Processor, Multivariable Feedback, Linear Control, Partial Oxidation 1

Stefanopoulou, Anna

Note: This page contains sample records for the topic "fuels model capital" 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

Chemical Kinetic Modeling of Non-Petroleum Based Fuels | Department...  

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

ft010pitz2011o.pdf More Documents & Publications Chemical Kinetic Modeling of Non-Petroleum Based Fuels Chemical Kinetic Modeling of Fuels Simulation of High Efficiency Clean...

42

Chemical Kinetic Modeling of Non-Petroleum Based Fuels | Department...  

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

ft010pitz2012o.pdf More Documents & Publications Chemical Kinetic Modeling of Non-Petroleum Based Fuels Chemical Kinetic Modeling of Fuels Chemical Kinetic Research on HCCI &...

43

Annual Fuel Economy Guide with 2014 Models Released | Department...  

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

Annual Fuel Economy Guide with 2014 Models Released Annual Fuel Economy Guide with 2014 Models Released December 4, 2013 - 12:00am Addthis The U.S. Environmental Protection Agency...

44

AN EVALUATION OF SELECT PEM FUEL CELL SYSTEM MODELS  

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

EVALUATING PEM FUEL CELL SYSTEM MODELS EVALUATING PEM FUEL CELL SYSTEM MODELS Kristina Haraldsson, Keith Wipke National Renewable Energy Laboratory (NREL) 1617 Cole Boulevard, MS 1633 Golden, Colorado, 80401 ABSTRACT Many proton exchange membrane (PEM) fuel cell models have been reported in publications, and some are available commercially. This paper helps users match their modeling needs with specific fuel cell models. The paper has three parts. First, it describes the model selection criteria for choosing a fuel cell model. Second, it applies these criteria to select state- of-the-art fuel cell models available in literature and commercially. The advantages and disadvantages of commercial models are discussed. Third, the paper illustrates the process of choosing a fuel cell model with an

45

COMPUTATIONAL FLUID DYNAMICS MODELING OF SOLID OXIDE FUEL CELLS  

E-Print Network (OSTI)

COMPUTATIONAL FLUID DYNAMICS MODELING OF SOLID OXIDE FUEL CELLS Ugur Pasaogullari and Chao-dimensional model has been developed to simulate solid oxide fuel cells (SOFC). The model fully couples current density operation. INTRODUCTION Solid oxide fuel cells (SOFC) are among possible candidates

46

Human capital composition, growth and development: an R&D growth model versus data  

Science Journals Connector (OSTI)

The effect of human capital composition on growth and development has been somewhat neglected in economic literature. However, evidence has suggested the importance of engineering and technical (high-tech) ski...

Tiago Neves Sequeira

2007-04-01T23:59:59.000Z

47

Social Capital and Growth Bryan R. Routledge ,  

E-Print Network (OSTI)

, labor mobility, and social capital. The key assumption is that technological innovation, which drivesSocial Capital and Growth Bryan R. Routledge , Joachim von Amsberg § March 2002 Revised July 2002 Abstract We define and characterize social capital in a simple growth model. We capture social capital

48

Advancement in Fuel Spray and Combustion Modeling for Compression...  

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

Spray, Combustion, & Emission Modeling using KH-ACT Primary Breakup Model & Detailed Chemistry Vehicle Technologies Office Merit Review 2014: Advancement in Fuel Spray and...

49

Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model  

E-Print Network (OSTI)

that the diesel engines fuel consumption and emissions doEmissions and Fuel Consumption Model engine manufacturersEmissions and Fuel Consumption Model Connection to engine

Barth, Matthew; Younglove, Theodore; Scora, George

2005-01-01T23:59:59.000Z

50

A comparative analysis of two PEM fuel cell modeling tools  

E-Print Network (OSTI)

A comparative analysis of two PEM fuel cell modeling tools M.L. Sarmiento-Carnevali*1 , S. Strahl1-electrolyte- membrane (PEM) fuel cells, Energy, 33(9): 1331-1352, 2008. [2] M. Mangold, A. Bück, and R. Hanke-Rauschenbach, Passivity based control of a distributed PEM fuel cell model, Journal of Process Control, 20(3): 292

Batlle, Carles

51

Boron-10 ABUNCL Models of Fuel Testing  

SciTech Connect

The Department of Energy Office of Nuclear Safeguards and Security (NA-241) is supporting the project Coincidence Counting With Boron-Based Alternative Neutron Detection Technology at Pacific Northwest National Laboratory (PNNL) for the development of a 3He proportional counter alternative neutron coincidence counter. The goal of this project is to design, build and demonstrate a system based upon 10B-lined proportional tubes in a configuration typical for 3He-based coincidence counter applications. This report provides results from MCNP simulations of the General Electric Reuter-Stokes Alternative Boron-Based Uranium Neutron Coincidence Collar (ABUNCL) active configuration model with fuel pins previously measured at Los Alamos National Laboratory. A comparison of the GE-ABUNCL simulations and simulations of 3He based UNCL-II active counter (the system for which the GE-ABUNCL was targeted to replace) with the same fuel pin assemblies is also provided.

Siciliano, Edward R.; Lintereur, Azaree T.; Kouzes, Richard T.; Ely, James H.

2013-10-01T23:59:59.000Z

52

Fuel Puddle Model and AFR Compensator for Gasoline-Ethanol Blends in Flex-Fuel Engines*  

E-Print Network (OSTI)

Fuel Puddle Model and AFR Compensator for Gasoline-Ethanol Blends in Flex-Fuel Engines* Kyung vehicles (FFVs) can operate on a blend of gasoline and ethanol in any concentration of up to 85% ethanol for gasoline-ethanol blends is, thus, necessary for the purpose of air-to-fuel ratio control. In this paper, we

Stefanopoulou, Anna

53

Evaluation of fuel rod characterization for transient fuel modeling  

E-Print Network (OSTI)

-L, developed by Belgonucleaire, was the steady state fuel performance computer code employed to determine these sensitivities. To determine code uncertainties and differences during steady state operation, Maine Yankee Unit 1 and Oconee Unit 2 fuel rods were... CHAPI'ER VI. CONCLUSIONS Page V1 1X 14 21 21 21 25 27 37 37 38 40 46 54 Page REFERENCES APPENDIX A APPENDIX B VITA S7 LIST OF TABLES Table Page Pellet fabrication parameters for Maine Yankee Unit I and Oconee Unit 2 fuel rods 22...

Bechler, Eric Wayne

2012-06-07T23:59:59.000Z

54

Alternative Fuels Data Center  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Ethanol Blend Dispenser Requirement A retail motor fuel dispenser that dispenses fuel containing more than 10% ethanol by volume must be labeled with the capital letter "E"...

55

Connecticut Fuel Cell Activities: Markets, Programs, & Models  

E-Print Network (OSTI)

) Passenger Car Light Truck Transit Bus Hydrogen Fuel Cell Gasoline Powered Car Hydrogen Fuel Cell Gasoline, 2009 Joel M. Rinebold #12;2 2 · Connecticut Hydrogen Roadmap (Fuel Cell Economic Development Plan) · A National "Green Energy" Economic Stimulus Plan based on Investment in the Hydrogen and Fuel Cell Industry

56

Capital Sources and Providers  

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

The most important elements of a clean energy lending program are the capital source and the capital provider. The capital source provides the funding to pay for clean energy projects, and the capital provider manages those funding sources. For example, a bank might use its customers' deposits as a capital source, but as the capital provider, the bank manages the investment of that capital.

57

Empirical modeling of uranium nitride fuels  

E-Print Network (OSTI)

SD Fuel swelling ( volume % ) Fission gas release (% ) Area average fuel temperature at the peak axial location Fuel burnup Fuel density Smear density The empirical fits shown above were produced using a least squares fit program with data... rejected due to a demonstrated lack of stability. The fuel swelling and fission gas release values predicted by the nonlinear correlations show fair agreement with the two experimental pins from the SP-1 irradiation test . Additionally, the trends...

Brozak, Daniel Edward

2012-06-07T23:59:59.000Z

58

Dynamic Modelling for Control of Fuel Cells Federico Zenith  

E-Print Network (OSTI)

Dynamic Modelling for Control of Fuel Cells Federico Zenith Sigurd Skogestad Department of Chemical Engineering Norwegian University of Science and Technology ( ntnu) Trondheim Abstract Fuel-cell dynamics have been investigated with a variable-resistance board applied to a high temperature polymer fuel cell

Skogestad, Sigurd

59

Health Capital and Finance  

E-Print Network (OSTI)

Muscareela. Corporate capital expenditure decisions and thethe amount spent on capital expenditures, varying from 1% inh ist is health capital expenditures, X ist is a set of

Holland, Sara Bryant

2010-01-01T23:59:59.000Z

60

Model Compound Studies of Fuel Cell Membrane Degradation  

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

Presentation on Model Compound Studies of Fuel Cell Membrane Degradation to the High Temperature Membrane Working Group Meeting held in Arlington, Virginia, May 26,2005.

Note: This page contains sample records for the topic "fuels model capital" 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

VISION Model for Vehicle Technologies and Alternative Fuels | Open Energy  

Open Energy Info (EERE)

VISION Model for Vehicle Technologies and Alternative Fuels VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Transportation Phase: Create a Vision Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/VISION/ OpenEI Keyword(s): EERE tool, VISION Model for Vehicle Technologies and Alternative Fuels References: The VISION Model [1] Estimate the potential energy use, oil use, and carbon emission impacts of advanced light and heavy-duty vehicle technologies and alternative fuels through 2050. The VISION model has been developed to provide estimates of the potential

62

Model documentation, Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the Annual Energy Outlook 1998 (AEO98) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. For AEO98, the RFM was modified in three principal ways, introducing capital cost elasticities of supply for new renewable energy technologies, modifying biomass supply curves, and revising assumptions for use of landfill gas from municipal solid waste (MSW). In addition, the RFM was modified in general to accommodate projections beyond 2015 through 2020. Two supply elasticities were introduced, the first reflecting short-term (annual) cost increases from manufacturing, siting, and installation bottlenecks incurred under conditions of rapid growth, and the second reflecting longer term natural resource, transmission and distribution upgrade, and market limitations increasing costs as more and more of the overall resource is used. Biomass supply curves were also modified, basing forest products supplies on production rather than on inventory, and expanding energy crop estimates to include states west of the Mississippi River using information developed by the Oak Ridge National Laboratory. Finally, for MSW, several assumptions for the use of landfill gas were revised and extended.

NONE

1998-01-01T23:59:59.000Z

63

Capital Cooking: Order (2014-CE-23008)  

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

DOE ordered Capital Cooking Equipment, Inc. to pay a $8,000 civil penalty after finding Capital Cooking had failed to certify that certain models of cooking products comply with the applicable energy conservation standards.

64

Flexible Capital Fund (Vermont) | Department of Energy  

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

Flexible Capital Fund (Vermont) Flexible Capital Fund (Vermont) Flexible Capital Fund (Vermont) < Back Eligibility Commercial Agricultural Construction Rural Electric Cooperative Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Vermont Program Type Loan Program Provider Vermont Sustainable Jobs Fund The Vermont Sustainable Jobs Fund's Flexible Capital Fund (the "Flex Fund") is designed for companies in Vermont's rural areas that are smaller and work on a less-than global scale, offering a return on investment that does not always meet venture capital levels. These rural companies may need a form of "equity" to fuel growth but need it in lesser amounts and perhaps at lower returns than traditional venture

65

RAM Capital Management Group | Open Energy Information  

Open Energy Info (EERE)

RAM Capital Management Group RAM Capital Management Group Jump to: navigation, search Name RAM Capital Management Group Place Boca Raton, Florida Zip 33486 Sector Hydro, Hydrogen Product Private VC fund and investment banking advisory firm investing in fuel cells and hydrogen. References RAM Capital Management Group[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. RAM Capital Management Group is a company located in Boca Raton, Florida . References ↑ "RAM Capital Management Group" Retrieved from "http://en.openei.org/w/index.php?title=RAM_Capital_Management_Group&oldid=350184" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

66

Model of U3Si2 Fuel System using BISON Fuel Code  

SciTech Connect

This research considers the proposed advanced fuel system: U3Si2 combined with an advanced cladding. U3Si2 has a number of advantageous thermophysical properties, which motivate its use as an accident tolerant fuel. This preliminary model evaluates the behavior of U3Si2 using available thermophysical data to predict the cladding-fuel pellet temperature and stress using the fuel performance code: BISON. The preliminary results obtained from the U3Si2 fuel model describe the mechanism of Pellet-Clad Mechanical Interaction for this system while more extensive testing including creep testing of U3Si2 is planned for improved understanding of thermophysical properties for predicting fuel performance.

K. E. Metzger; T. W. Knight; R. L. Williamson

2014-04-01T23:59:59.000Z

67

Software Requirements Specification Verifiable Fuel Cycle Simulation (VISION) Model  

SciTech Connect

The purpose of this Software Requirements Specification (SRS) is to define the top-level requirements for a Verifiable Fuel Cycle Simulation Model (VISION) of the Advanced Fuel Cycle (AFC). This simulation model is intended to serve a broad systems analysis and study tool applicable to work conducted as part of the AFCI (including costs estimates) and Generation IV reactor development studies.

D. E. Shropshire; W. H. West

2005-11-01T23:59:59.000Z

68

Fuel Used for Off-Road Recreation: A Reassessment of the Fuel Use Model  

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

Used for Off-Road Recreation: Used for Off-Road Recreation: A Reassessment of the Fuel Use Model Stacy C. Davis Lorena F. Truett Patricia S. Hu ORNL/TM-1999/100 Fuel Used for Off-Road Recreation: A Reassessment of the Fuel Use Model Stacy C. Davis Lorena F. Truett Patricia S. Hu July 1999 Prepared for the Office of Highway Information Management Federal Highway Administration U.S. Department of Transportation Washington, DC 20590 Prepared by the Statistics and Data Analysis Program Center for Transportation Analysis Oak Ridge National Laboratory Oak Ridge, TN 37831-6073 managed by Lockheed Martin Energy Research Corporation for the U.S. Department of Energy under Contract No. DE-AC05-96OR22464 Fuel Used for Off-Road Recreation: A Reassessment of the Fuel Use Model - iii - TABLE OF CONTENTS LIST OF ACRONYMS AND ABBREVIATIONS

69

Mechanical modeling of porous oxide fuel pellet A Test Problem  

SciTech Connect

A poro-elasto-plastic material model has been developed to capture the response of oxide fuels inside the nuclear reactors under operating conditions. Behavior of the oxide fuel and variation in void volume fraction under mechanical loading as predicted by the developed model has been reported in this article. The significant effect of void volume fraction on the overall stress distribution of the fuel pellet has also been described. An important oxide fuel issue that can have significant impact on the fuel performance is the mechanical response of oxide fuel pellet and clad system. Specifically, modeling the thermo-mechanical response of the fuel pellet in terms of its thermal expansion, mechanical deformation, swelling due to void formation and evolution, and the eventual contact of the fuel with the clad is of significant interest in understanding the fuel-clad mechanical interaction (FCMI). These phenomena are nonlinear and coupled since reduction in the fuel-clad gap affects thermal conductivity of the gap, which in turn affects temperature distribution within the fuel and the material properties of the fuel. Consequently, in order to accurately capture fuel-clad gap closure, we need to account for fuel swelling due to generation, retention, and evolution of fission gas in addition to the usual thermal expansion and mechanical deformation. Both fuel chemistry and microstructure also have a significant effect on the nucleation and growth of fission gas bubbles. Fuel-clad gap closure leading to eventual contact of the fuel with the clad introduces significant stresses in the clad, which makes thermo-mechanical response of the clad even more relevant. The overall aim of this test problem is to incorporate the above features in order to accurately capture fuel-clad mechanical interaction. Because of the complex nature of the problem, a series of test problems with increasing multi-physics coupling features, modeling accuracy, and complexity are defined with the objective of accurate simulation of fuel-clad mechanical interaction subjected to a wide-range of thermomechanical stimuli.

Nukala, Phani K [ORNL; Barai, Pallab [ORNL; Simunovic, Srdjan [ORNL; Ott, Larry J [ORNL

2009-10-01T23:59:59.000Z

70

Ecological Modelling 180 (2004) 135151 Simulating forest fuel and fire risk dynamics across  

E-Print Network (OSTI)

fuel module tracks fine fuel, coarse fuel and live fuel for each cell on a landscape. Fine fuel age (the oldest age cohorts) in combination with disturbance history. Live fuels, also called canopyEcological Modelling 180 (2004) 135­151 Simulating forest fuel and fire risk dynamics across

He, Hong S.

71

Fuel Cell Systems Sensors Air Management Benchmarking Modeling  

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

Systems Systems F u e l P r o c e s s o r Sensors Air Management Benchmarking Modeling Patrick Davis Patrick Davis Targets and Status 50 kWe (net) Integrated Fuel Cell Power System 5000 2000 1000 Hours Durability 45 125 275 $/kW Cost (including H2 storage) 650 500 400 W/L Power density (w/o H2 stor) Operating on direct hydrogen 5000 2000 1000 Hours Durability 45 125 325 $/kW Cost 325 250 140 W/L Power density Operating on Tier 2 gasoline containing 30 ppm sulfur, average 2010 2005 2003 status Units Characteristics Projects Fuel Cell Power Systems Analysis ANL NREL TIAX Directed Technologies, Inc. TIAX TIAX * Fuel Cell Systems Analysis * Fuel Cell Vehicle Systems Analysis * Cost Analyses of Fuel Cell Stacks/ Systems * DFMA Cost Estimates of Fuel Cell/ Reformer Systems at Low, Medium, & High Production Rates * Assessment of Fuel Cell Auxiliary

72

Virginia Tech Comprehensive Power-based Fuel Consumption Model: Model Development and Testing  

E-Print Network (OSTI)

sources such as hybrid-electric technologies, bio-ethanol, and hydrogen fuel cells are emergingVirginia Tech Comprehensive Power-based Fuel Consumption Model: Model Development and Testing, Moran, Saerens, and Van den Bulck 2 ABSTRACT Existing fuel consumption and emission models suffer from

Rakha, Hesham A.

73

TRISO Fuel Performance: Modeling, Integration into Mainstream Design Studies, and Application to a Thorium-fueled Fusion-Fission Hybrid Blanket  

E-Print Network (OSTI)

Quantification in Fuel Performance Modeling . . . . . . .3.4 Integration with Fuel Performance Calculations ivmicroscopic image of a TRISO fuel particle cracked open to

Powers, Jeffrey

2011-01-01T23:59:59.000Z

74

Proceedings of the NETL Workshop on Fuel Cell Modeling  

SciTech Connect

This workshop was the first U.S. DOE sponsored meeting devoted to fuel cell modeling. The workshop was attended by over 45 people from industry, universities, and the government. The goals of the meeting were to assess the status of fuel cell modeling, and determine how new developments in fuel cell modeling can improve cell design, stack design, and power system design. The primary focus was on cell and stack modeling. Following a review of DOE/NETL fuel cell related programs and activities, Professor Robert Selman (Illinois Institute of Technology) kicked off the technical portion of the workshop by presenting an overview of fuel cell phenomena and the status of fuel cell modeling. This overview provided the necessary background for establishing a common framework for discussing fuel cell modeling. A distinction was made between micro modeling, electrode modeling, cell modeling, stack modeling, and system modeling. It was proposed that all modeling levels be supported for further development. In addition, due to significant advances being made outside the U.S., it was proposed that dialog/exchange with other international researchers be established. Following the Overview Session, eight leading researchers in modeling gave individual presentations. These presentations provided additional information on the status and present direction of model developments. All these presentations can be found in Attachment A. Before the workshop, a survey was sent out requesting comments from the attendees. Results from this survey can be found in Attachment B. This survey was then used as initial talking points at the individual breakout sessions on the afternoon of the workshop. Breakouts were organized by microfundamental modeling, cell modeling, stack modeling, and systems modeling.

Randall S. Gemmen; J. R. Selman

2000-04-18T23:59:59.000Z

75

A Model Fuels Consortium to Promote Engine Modeling | Department...  

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

Changes in Storage Media Accurate Predictions of Fuel Effects on Combustion and Emissions in Engines Using CFD Simulations With Detailed Fuel Chemistry DOE-HDBK-3010-94...

76

Materials Modeling and Simulation for Nuclear Fuels (MMSNF) Workshops  

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

Aerial photo of Argonne National Laboratory Argonne National Laboratory University of Chicago Chicago Photography courtesy Thomas F Ewing Privacy and Security Notice The MMSNF Workshops The goal of the Materials Modeling and Simulation for Nuclear Fuels (MMSNF) workshops is to stimulate research and discussions on modeling and simulations of nuclear fuels, to assist the design of improved fuels and the evaluation of fuel performance. In addition to research focused on existing or improved types of LWR reactors, recent modeling programs, networks, and links have been created to develop innovative nuclear fuels and materials for future generations of nuclear reactors. Examples can be found in Europe (e.g. F-BRIDGE project and ACTINET network and SAMANTHA cooperative network), in the USA (e.g. CASL, NEAMS, CESAR and CMSN network

77

An Integrated Approach for Creating Model Diesel Fuels  

Science Journals Connector (OSTI)

An Integrated Approach for Creating Model Diesel Fuels ... There is growing recognition that the optimal fuel properties (i) are dependent on the engine operating conditions and (ii) can be different for different parts of the drive cycle. ... The total solution to this problem belongs to the general and very difficult class of mixed-integer nonlinear problems (MINLP). ...

Ioannis P. Androulakis; Mark D. Weisel; Chang S. Hsu; Kuangnan Qian; Larry A. Green; John T. Farrell; Kiyomi Nakakita

2004-11-19T23:59:59.000Z

78

Verifiable Fuel Cycle Simulation Model (VISION): A Tool for Analyzing Nuclear Fuel Cycle Futures  

SciTech Connect

The nuclear fuel cycle consists of a set of complex components that are intended to work together. To support the nuclear renaissance, it is necessary to understand the impacts of changes and timing of events in any part of the fuel cycle system such as how the system would respond to each technological change, a series of which moves the fuel cycle from where it is to a postulated future state. The system analysis working group of the United States research program on advanced fuel cycles (formerly called the Advanced Fuel Cycle Initiative) is developing a dynamic simulation model, VISION, to capture the relationships, timing, and changes in and among the fuel cycle components to help develop an understanding of how the overall fuel cycle works. This paper is an overview of the philosophy and development strategy behind VISION. The paper includes some descriptions of the model components and some examples of how to use VISION. For example, VISION users can now change yearly the selection of separation or reactor technologies, the performance characteristics of those technologies, and/or the routing of material among separation and reactor types - with the model still operating on a PC in <5 min.

Jacob J. Jacobson; Steven J. Piet; Gretchen E. Matthern; David E. Shropshire; Robert F. Jeffers; A. M. Yacout; Tyler Schweitzer

2010-11-01T23:59:59.000Z

79

Clean Cities: Capital District Clean Communities (Albany) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Capital District Clean Communities (Albany) Coalition Capital District Clean Communities (Albany) Coalition The Capital District Clean Communities (Albany) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Capital District Clean Communities (Albany) coalition Contact Information Jennifer Ceponis 518-458-2161 jceponis@cdtcmpo.org Coalition Website Clean Cities Coordinator Jennifer Ceponis Photo of Jennifer Ceponis Jennifer Ceponis has been the coordinator of Capital District Clean Communities Coalition since 2012. Ceponis is a Senior Transportation Planner at the Capital District Transportation Committee (CDTC), where she worked since 2008 on bicycle and pedestrian planning, transportation demand management programs and community planning. The Clean Communities Coalition

80

Kinetic Modeling of Combustion Characteristics of Real Biodiesel Fuels  

SciTech Connect

Biodiesel fuels are of much interest today either for replacing or blending with conventional fuels for automotive applications. Predicting engine effects of using biodiesel fuel requires accurate understanding of the combustion characteristics of the fuel, which can be acquired through analysis using reliable detailed reaction mechanisms. Unlike gasoline or diesel that consists of hundreds of chemical compounds, biodiesel fuels contain only a limited number of compounds. Over 90% of the biodiesel fraction is composed of 5 unique long-chain C{sub 18} and C{sub 16} saturated and unsaturated methyl esters. This makes modeling of real biodiesel fuel possible without the need for a fuel surrogate. To this end, a detailed chemical kinetic mechanism has been developed for determining the combustion characteristics of a pure biodiesel (B100) fuel, applicable from low- to high-temperature oxidation regimes. This model has been built based on reaction rate rules established in previous studies at Lawrence Livermore National Laboratory. Computed results are compared with the few fundamental experimental data that exist for biodiesel fuel and its components. In addition, computed results have been compared with experimental data for other long-chain hydrocarbons that are similar in structure to the biodiesel components.

Naik, C V; Westbrook, C K

2009-04-08T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

VISION User Guide - VISION (Verifiable Fuel Cycle Simulation) Model  

SciTech Connect

The purpose of this document is to provide a guide for using the current version of the Verifiable Fuel Cycle Simulation (VISION) model. This is a complex model with many parameters; the user is strongly encouraged to read this user guide before attempting to run the model. This model is an R&D work in progress and may contain errors and omissions. It is based upon numerous assumptions. This model is intended to assist in evaluating “what if” scenarios and in comparing fuel, reactor, and fuel processing alternatives at a systems level for U.S. nuclear power. The model is not intended as a tool for process flow and design modeling of specific facilities nor for tracking individual units of fuel or other material through the system. The model is intended to examine the interactions among the components of a fuel system as a function of time varying system parameters; this model represents a dynamic rather than steady-state approximation of the nuclear fuel system. VISION models the nuclear cycle at the system level, not individual facilities, e.g., “reactor types” not individual reactors and “separation types” not individual separation plants. Natural uranium can be enriched, which produces enriched uranium, which goes into fuel fabrication, and depleted uranium (DU), which goes into storage. Fuel is transformed (transmuted) in reactors and then goes into a storage buffer. Used fuel can be pulled from storage into either separation of disposal. If sent to separations, fuel is transformed (partitioned) into fuel products, recovered uranium, and various categories of waste. Recycled material is stored until used by its assigned reactor type. Note that recovered uranium is itself often partitioned: some RU flows with recycled transuranic elements, some flows with wastes, and the rest is designated RU. RU comes out of storage if needed to correct the U/TRU ratio in new recycled fuel. Neither RU nor DU are designated as wastes. VISION is comprised of several Microsoft Excel input files, a Powersim Studio core, and several Microsoft Excel output files. All must be co-located in the same folder on a PC to function. We use Microsoft Excel 2003 and have not tested VISION with Microsoft Excel 2007. The VISION team uses both Powersim Studio 2005 and 2009 and it should work with either.

Jacob J. Jacobson; Robert F. Jeffers; Gretchen E. Matthern; Steven J. Piet; Benjamin A. Baker; Joseph Grimm

2009-08-01T23:59:59.000Z

82

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

SciTech Connect

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

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

1981-01-01T23:59:59.000Z

83

Small Business Venture Capital Tax Credit Program (Manitoba, Canada) |  

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

Venture Capital Tax Credit Program (Manitoba, Venture Capital Tax Credit Program (Manitoba, Canada) Small Business Venture Capital Tax Credit Program (Manitoba, Canada) < Back Eligibility Agricultural Commercial Construction Developer Fuel Distributor Industrial Installer/Contractor Investor-Owned Utility Municipal/Public Utility Retail Supplier Rural Electric Cooperative Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Home Weatherization Water Solar Wind Program Info State Manitoba Program Type Corporate Tax Incentive Personal Tax Incentives Provider Manitoba Entrepreneurship, Training and Trade The Small Business Venture Capital Tax Credit Program (SBVCTC) assists eligible small corporations to issue new equity to primarily new investors.

84

A credit risk model for agricultural loan portfolios under the new Basel Capital Accord  

E-Print Network (OSTI)

theoretical model is developed based on the default theory with several assumptions to simplify the model. An annual default model is specified using FDIC state level data over the 1985 to 2003. Five state models covering Iowa, Illinois, Indiana, Kansas...

Kim, Juno

2005-08-29T23:59:59.000Z

85

Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model  

E-Print Network (OSTI)

fact that the diesel engines fuel consumption and emissionsDiesel Modal Emissions and Fuel Consumption Model Connection to engineDiesel Modal Emissions and Fuel Consumption Model unit; 5) engine-

Barth, Matthew; Younglove, Theodore; Scora, George

2005-01-01T23:59:59.000Z

86

LG Solid Oxide Fuel Cell (SOFC) Model Development  

SciTech Connect

This report presents a summary of the work performed by LG Fuel Cell Systems Inc. during the project LG Solid Oxide Fuel Cell (SOFC) Model Development (DOE Award Number: DE-FE0000773) which commenced on October 1, 2009 and was completed on March 31, 2013. The aim of this project is for LG Fuel Cell Systems Inc. (formerly known as Rolls-Royce Fuel Cell Systems (US) Inc.) (?LGFCS?) to develop a multi-physics solid oxide fuel cell (SOFC) computer code (MPC) for performance calculations of the LGFCS fuel cell structure to support fuel cell product design and development. A summary of the initial stages of the project is provided which describes the MPC requirements that were developed and the selection of a candidate code, STAR-CCM+ (CD-adapco). This is followed by a detailed description of the subsequent work program including code enhancement and model verification and validation activities. Details of the code enhancements that were implemented to facilitate MPC SOFC simulations are provided along with a description of the models that were built using the MPC and validated against experimental data. The modeling work described in this report represents a level of calculation detail that has not been previously available within LGFCS.

Haberman, Ben; Martinez-Baca, Carlos; Rush, Greg

2013-03-31T23:59:59.000Z

87

CAPITAL REGION  

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

t 09/20/07 15:28 FAX 301 903 4656 t 09/20/07 15:28 FAX 301 903 4656 CAPITAL REGION 0 j002 SDOE F 1325.8 (8-89) EFG (0790) Energy United States Government Department of Energy Memorandum DATE. September 18, 2007 Audit Report No.: OAS-L-07-23 REPLY TO: IG-34 (A07TG036) SUBJECT: Evaluation of "The Federal Energy Regulatory Commission's Cyber Security Program-2007" TO: Chairman, Federal Energy Regulatory Commission The purpose of this report is to inform you of the results o Four evaluation of the Federal Energy Regulatory Commission's (Commission) cyber security program. The evaluation was initiated in May 2007, and our fieldwork was conducted through September 2007. Our methodology is described in the attachment to this report. . INTRODUCTION AND OBJECTIVE The Commission reports that it is constantly improving thl stability, reliability, and

88

Capital Reporting Company  

Energy Savers (EERE)

devices and energy 22 management systems. Capital Reporting Company Quadrennial Energy Review Public Meeting 5 07-11-2014 (866) 448 - DEPO www.CapitalReportingCompany.com...

89

Modeling and simulation of a reformate supplied PEM fuel cell stack, application to fault detection  

E-Print Network (OSTI)

Modeling and simulation of a reformate supplied PEM fuel cell stack, application to fault detection exchange membrane (PEM) fuel cells are the main type of fuel cell developed for ground vehicle applications tool for thermal characteristic and fault detection of a PEM fuel cell stack. The fuel cell stack model

Paris-Sud XI, Université de

90

Modeling Cylinder Valve in Hydrogen Fuel Cell Car  

Science Journals Connector (OSTI)

We develop a fast alternative to a complex finite element analysis (FEA) model of cylinder valve in hydrogen fuel cell car based on support vector machine (SVM). The inputs of model are shape parameters of core and plunger of the valve, and the output ... Keywords: modeling, cylinder valve, SVM, uniform design

Liang Yu; Shengnian Cai; Wang Na

2011-03-01T23:59:59.000Z

91

Validation of a solid oxide fuel cell model  

Science Journals Connector (OSTI)

The need to study the performance of solid oxide fuel cells (SOFCs) has made mathematical modeling an essential tool for their design. Electrochemical modeling evaluates ohmic activation and concentration overpotentials that affect SOFC operation. A detailed cell model is developed for an SOFC and is validated with experimental data from the open literature.

Christina Charalampidou; Ioannis K. Kookos

2012-01-01T23:59:59.000Z

92

Stochastic Programming Model for Fuel Treatment Management  

E-Print Network (OSTI)

Due to the increased number and intensity of wild fires, the need for solutions that minimize the impact of fire are needed. Fuel treatment is one of the methods used to mitigate the effects of fire at a certain area. In this thesis, a two...

Kabli, Mohannad Reda A

2014-04-28T23:59:59.000Z

93

Loss of spent fuel pool cooling PRA: Model and results  

SciTech Connect

This letter report documents models for quantifying the likelihood of loss of spent fuel pool cooling; models for identifying post-boiling scenarios that lead to core damage; qualitative and quantitative results generated for a selected plant that account for plant design and operational practices; a comparison of these results and those generated from earlier studies; and a review of available data on spent fuel pool accidents. The results of this study show that for a representative two-unit boiling water reactor, the annual probability of spent fuel pool boiling is 5 {times} 10{sup {minus}5} and the annual probability of flooding associated with loss of spent fuel pool cooling scenarios is 1 {times} 10{sup {minus}3}. Qualitative arguments are provided to show that the likelihood of core damage due to spent fuel pool boiling accidents is low for most US commercial nuclear power plants. It is also shown that, depending on the design characteristics of a given plant, the likelihood of either: (a) core damage due to spent fuel pool-associated flooding, or (b) spent fuel damage due to pool dryout, may not be negligible.

Siu, N.; Khericha, S.; Conroy, S.; Beck, S.; Blackman, H.

1996-09-01T23:59:59.000Z

94

Vermont Seed Capital Fund (Vermont) | Department of Energy  

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

Seed Capital Fund (Vermont) Seed Capital Fund (Vermont) Vermont Seed Capital Fund (Vermont) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Retail Supplier Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Vermont Program Type Corporate Tax Incentive Provider Vermont Department of Taxes The Vermont Seed Capital Fund increases the amount of investment capital available to new Vermont firms or to existing Vermont firms for the purpose of expansion. The first $5 million of capitalization contributed by taxpayers on or before January 1, 2014. Lesser of 4% of contribution or 50% of tax liability prior to allowance of this credit. There is a four year

95

Numerical Methods for Multiphysics, Multiphase, and Multicomponent Models for Fuel Cells.  

E-Print Network (OSTI)

??In this dissertation, we design and analyze efficient numerical methods for obtaining accurate solutions to model problems arising in fuel cells. A basic fuel cell… (more)

Xue, Guangri

2008-01-01T23:59:59.000Z

96

DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model  

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

Presentation slides from the Fuel Cell Technologies Program webinar, DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model, held December 11, 2012.

97

Venture Capital Finance  

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

Plenary III: Project Finance and Investment Venture Capital Finance Brian Baynes, Partner, Flagship Ventures

98

Networks, Information & Social Capital  

E-Print Network (OSTI)

This paper investigates how information flows enable social networks to constitute social capital. By analyzing

Aral, Sinan

2008-01-26T23:59:59.000Z

99

Torque modelling for optimising fuel economy in variable compression engines  

Science Journals Connector (OSTI)

Fuel optimal control of a variable compression engine is studied and it is shown that a crucial component is the model for the engine torque. A model for the produced work that captures the important effects of ignition and compression ratio is proposed and investigated. The main task for the model is to be a mean for determining the fuel optimal control signals, for each requested engine torque and speed. The contribution is a model suitable for finding this optimal combination. This model consists of well-known components, and the novelty lies in the compilation and validation of the control-oriented efficiency model for a variable compression engine. The modelling and validation is performed on a multicylinder variable compression engine using two fuels with different octane rating. Despite the models simplicity, it describes the indicated work with good accuracy, and suits its purpose of finding optimal control signals. In the evaluation, it is shown that a fuel optimal controller based on the proposed model captures the optimal IMEP to within 1.2%. This corresponds to a loss in engine efficiency that is in the range of 0.5% units or less.

Ylva Nilsson; Lars Eriksson; Martin Gunnarsson

2008-01-01T23:59:59.000Z

100

Software Platform Evaluation - Verifiable Fuel Cycle Simulation (VISION) Model  

SciTech Connect

The purpose of this Software Platform Evaluation (SPE) is to document the top-level evaluation of potential software platforms on which to construct a simulation model that satisfies the requirements for a Verifiable Fuel Cycle Simulation Model (VISION) of the Advanced Fuel Cycle (AFC). See the Software Requirements Specification for Verifiable Fuel Cycle Simulation (VISION) Model (INEEL/EXT-05-02643, Rev. 0) for a discussion of the objective and scope of the VISION model. VISION is intended to serve as a broad systems analysis and study tool applicable to work conducted as part of the AFCI (including costs estimates) and Generation IV reactor development studies. This document will serve as a guide for selecting the most appropriate software platform for VISION. This is a “living document” that will be modified over the course of the execution of this work.

J. J. Jacobson; D. E. Shropshire; W. B. West

2005-11-01T23:59:59.000Z

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


101

Modeling the Effect of Fuel Ethanol Concentration on Cylinder Pressure Evolution in Direct-Injection Flex-Fuel Engines  

E-Print Network (OSTI)

Modeling the Effect of Fuel Ethanol Concentration on Cylinder Pressure Evolution in Direct the fuel vaporization pro- cess for ethanol-gasoline fuel blends and the associated charge cooling effect experimental cylinder pressure for different gasoline-ethanol blends and various speeds and loads on a 2.0 L

Stefanopoulou, Anna

102

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

a Direct-Hydrogen, Load-Following Fuel Cell Vehicle, SAEversus a Direct-Hydrogen Load-Following Fuel Cell Vehicle,vehicle model of a load-following direct hydrogen fuel cell

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

103

Mathematical modelling of the catalyst layer of a polymer electrolyte fuel cell  

Science Journals Connector (OSTI)

......polymer electrolyte fuel cell A. A. Shah...polymer electrolyte fuel cell. The model explicitly...unwanted reactions (degradation), such as carbon...certain ranges of cell voltage). (5...performance of the fuel cell. We point......

A. A. Shah; Gwang-Soo Kim; K. Promislow

2007-06-01T23:59:59.000Z

104

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network (OSTI)

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles”, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

105

MATHEMATICAL MODELING OF CHANNEL POROUS LAYER INTERFACES IN PEM FUEL CELLS  

E-Print Network (OSTI)

two types of PEM fuel cells: H2 PEM fuel cells (H2PEMFC) driven by gaseous hydrogen, and directMATHEMATICAL MODELING OF CHANNEL ­ POROUS LAYER INTERFACES IN PEM FUEL CELLS M. EHRHARDT, J, Germany ABSTRACT In proton exchange membrane (PEM) fuel cells, the transport of the fuel to the active

Ehrhardt, Matthias

106

Kinetic Modeling of Toluene Oxidation for Surrogate Fuel Applications  

SciTech Connect

New environmental issues, like the effect of combustion-generated greenhouse gases, provide motivation to better characterize oxidation of hydrocarbons. Transportation, in particular, significantly contributes to energy consumption and CO{sub 2} emissions. Kinetic studies about the combustion of fuels under conditions typical of internal combustion engines provides important support to improve mechanism formulation and to eventually provide better computational tools that can be used to increase the engine performance. It is foreseeable that at least in the next 30 years the main transportation fuels will be either gasoline or diesel. Unfortunately, these fuels are very complex mixtures of many components. Moreover, their specifications and performance requirements significantly change the composition of these fuels: gasoline and diesel mixtures are different if coming from different refineries or they are different from winter to summer. At the same time a fuel with a well defined and reproducible composition is needed for both experimental and modeling work. In response to these issues, surrogate fuels are proposed. Surrogate fuels are defined as mixtures of a small number of hydrocarbons whose relative concentrations is adjusted in order to approximate the chemical and physical properties of a real fuel. Surrogate fuels are then very useful both for the design of reproducible experimental tests and also for the development of reliable kinetic models. The primary reference fuels (PRF) are a typical and old example of surrogate fuel: n-heptane and iso-octane mixtures are used to reproduce antiknock propensity of complex mixtures contained in a gasoline. PRFs are not able to surrogate gasoline in operating conditions different from standard ones and new surrogates have been recently proposed. Toluene is included in all of them as a species able to represent the behavior of aromatic compounds. On the other side, the toluene oxidation chemistry is not so well established and uncertainties still remain in the mechanism. This is especially true in the low temperature regime (< 850K). In these conditions, the toluene reactivity is too low to be conveniently investigated. Nonetheless, gasoline surrogates work in the engine at low temperatures, because of the presence of very reactive alkanes. The effect of these component interactions have to be taken into account. This work's aim is to present the model activity carried out by two different research groups, comparing the main pathways and results, matching data carried out in different devices both for pure toluene and mixtures. This is the starting point for a further activity to improve the two kinetic schemes.

Frassoldati, A; Mehl, M; Fietzek, R; Faravelli, T; Pitz, W J; Ranzi, E

2009-04-21T23:59:59.000Z

107

Fuel dispersal modeling for aircraft-runway impact scenarios  

SciTech Connect

A fuel dispersal model for C-141 transport accidents was developed for the Defense Nuclear Agency`s Fuel Fire Technology Base Program to support Weapon System Safety Assessments. The spectrum of accidents resulting from aircraft impact on a runway was divided into three fuel dispersal regimes: low, intermediate, and high-velocity impact. Sufficient data existed in the accident, crash test, and fuel-filled bomb literature to support development of a qualitative framework for dispersal models, but not quantitative models for all regimes. Therefore, a test series at intermediate scale was conducted to generate data on which to base the model for the high-velocity regime. Tests were conducted over an impact velocity range from 12 m/s to 91 m/s and angles of impact from 22.5{degrees} to 67.5{degrees}. Dependent variables were area covered by dispersed fuel, amount of mass in that area, and location of the area relative to the impact line. Test results showed that no liquid pooling occurred for impact velocities greater than 61 m/s, independent of the angle of impact. Some pooling did occur at lower velocities, but in no test was the liquid-layer thickness greater than 5.25 mm.

Tieszen, S.R.

1995-11-01T23:59:59.000Z

108

Modeling Tools for Solid Oxide Fuel Cell Analysis  

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

Tools for Solid Oxide Fuel Tools for Solid Oxide Fuel Cell Design and Analysis Moe A Khaleel BJ Koeppel, W Liu, K Lai, KP Recknagle, EM Ryan, EV Stephens, X Sun Pacific Northwest National Laboratory Richland, WA 99352 11 th Annual SECA Workshop Pittsburgh, PA July 27-29, 2009 1 PNNL SOFC Modeling Tools SOFC-MP Stack level model for fast analysis of co/counter-flow SOFC stack performance Detailed electrochemistry model Cell level model for the investigation of secondary reactions (degradation/contamination) mechanisms within the tri-layer Component-based design and performance modeling Contact material Interconnect Glass seal 2 SOFC-MP Stack Simulation Code Recent Accomplishments Major memory improvements of 3D model to accommodate 50-cell stacks on LINUX platform. Previously, developed a 2D (or stacked

109

Model Year 2013: Alternative Fuel Vehicles and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

13: Alternative Fuel and Advanced Technology Vehicles 13: Alternative Fuel and Advanced Technology Vehicles 1 (Updated 3/6/13) 1 Source: http:/afdc.energy.gov/vehicles/search/light/ Fuel/Powertrain Type Make Model Vehicle Type Engine Size/Cylinders Transmission Emissions Class 2 Fuel Economy Gasoline 3,4 City/Hwy Fuel Economy Alt Fuel 3,4 City/Hwy HEV Acura ILX Sedan 1.5L I4 ECVT Tier 2 Bin 3 LEVII PZEV 39 / 38 N/A FFV E85 Audi A4 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Cabriolet Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi Allroad Quatro Wagon 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 27 14 / 18 FFV E85 Audi Q5 SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 28 14 / 19 HEV Audi Q5 Hybrid SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 24 / 30 N/A FFV E85 Bentley

110

Foreign Capital and Financial Crises  

E-Print Network (OSTI)

financing their capital expenditures. In addition, I alsoratio of cash flow to capital expenditure and the ratio ofof cash flow to capital expenditures (though the coefficient

Gullapalli, Rachita

2012-01-01T23:59:59.000Z

111

Pennsylvania Capital Access Program (Pennsylvania) | Department of Energy  

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

Pennsylvania Capital Access Program (Pennsylvania) Pennsylvania Capital Access Program (Pennsylvania) Pennsylvania Capital Access Program (Pennsylvania) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info Funding Source Pennsylvania Economic Development Financing Authority (PEDFA) State Pennsylvania Program Type

112

Capital Access Program (CAP) (Michigan) | Department of Energy  

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

CAP) (Michigan) CAP) (Michigan) Capital Access Program (CAP) (Michigan) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Michigan Program Type Loan Program The Capital Access Program (CAP), utilizes public resources to generate private financing for small business in Michigan seeking access to capital.

113

Capital Investment Incentive (Nova Scotia, Canada) | Department of Energy  

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

You are here You are here Home » Capital Investment Incentive (Nova Scotia, Canada) Capital Investment Incentive (Nova Scotia, Canada) < Back Eligibility Commercial Developer Fuel Distributor Industrial Installer/Contractor Institutional Investor-Owned Utility Municipal/Public Utility Retail Supplier Rural Electric Cooperative Schools Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Maximum Rebate $1 million (Canadian) Program Info State Nova Scotia Program Type Grant Program Rebate Program Provider Nova Scotia Department of Economic and Rural Development and Tourism The Capital Investment Incentive (CII) is part of the Productivity Investment Program as outlined in the economic growth plan for Nova Scotia,

114

HCCI experiments with gasoline surrogate fuels modeled by a semidetailed chemical kinetic model  

SciTech Connect

Experiments in a homogeneous charge compression ignition (HCCI) engine have been conducted with four gasoline surrogate fuel blends. The pure components in the surrogate fuels consisted of n-heptane, isooctane, toluene, ethanol and diisobutylene and fuel sensitivities (RON-MON) in the fuel blends ranged from two to nine. The operating conditions for the engine were p{sub in}=0.1 and 0.2 MPa, T{sub in}=80 and 250 C, {phi}=0.25 in air and engine speed 1200 rpm. A semidetailed chemical kinetic model (142 species and 672 reactions) for gasoline surrogate fuels, validated against ignition data from experiments conducted in shock tubes for gasoline surrogate fuel blends at 1.0{<=} p{<=}5.0MPa, 700{<=} T{<=}1200 K and {phi}=1.0, was successfully used to qualitatively predict the HCCI experiments using a single zone modeling approach. The fuel blends that had higher fuel sensitivity were more resistant to autoignition for low intake temperature and high intake pressure and less resistant to autoignition for high intake temperature and low intake pressure. A sensitivity analysis shows that at high intake temperature the chemistry of the fuels ethanol, toluene and diisobutylene helps to advance ignition. This is consistent with the trend that fuels with the least Negative Temperature Coefficient (NTC) behavior show the highest octane sensitivity, and become less resistant to autoignition at high intake temperatures. For high intake pressure the sensitivity analysis shows that fuels in the fuel blend with no NTC behavior consume OH radicals and acts as a radical scavenger for the fuels with NTC behavior. This is consistent with the observed trend of an increase in RON and fuel sensitivity. With data from shock tube experiments in the literature and HCCI modeling in this work, a correlation between the reciprocal pressure exponent on the ignition delay to the fuel sensitivity and volume percentage of single-stage ignition fuel in the fuel blend was found. Higher fuel sensitivity and single-stage fuel content generally gives a lower value of the pressure exponent. This helps to explain the results obtained while boosting the intake pressure in the HCCI engine. (author)

Andrae, J.C.G. [Dept. of Chemical Engineering and Technology, Royal Institute of Technology (KTH), SE-100 44 Stockholm (Sweden); Head, R.A. [Shell Technology Centre Thornton, P.O. Box 1, Chester CH1 3SH (United Kingdom)

2009-04-15T23:59:59.000Z

115

Job Maintenance and Capital Development Fund (North Carolina) | Department  

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

Maintenance and Capital Development Fund (North Carolina) Maintenance and Capital Development Fund (North Carolina) Job Maintenance and Capital Development Fund (North Carolina) < Back Eligibility Commercial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State North Carolina Program Type Grant Program Provider Department of Commerce The Job Maintenance and Capital Development Fund provides annual grants to businesses which are located in Development Tier I counties. The Fund is intended to encourage the retention of significant numbers of high-paying, high-quality job and large-scale capital investments. Grants may be made for a term of up to ten years. The business must have at least 2000 employees and invest $200 million in capital improvements

116

Income Tax Capital Credit (Alabama) | Department of Energy  

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

Income Tax Capital Credit (Alabama) Income Tax Capital Credit (Alabama) Income Tax Capital Credit (Alabama) < Back Eligibility Commercial Construction Industrial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Alabama Program Type Corporate Tax Incentive The purpose of this law is to create jobs and to stimulate business and economic growth in the state by providing an income tax capital credit for approved projects. The Income Tax Capital Credit is a credit of five percent (5%) of the capital costs of a qualifying project offered by the Alabama Department of Revenue. The credits is applied to the Alabama income tax liability or financial institution excise tax generated by the project income, each year for 20 years. This credit cannot be carried forward or

117

RM Capital Investment Plans  

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

Capital Investment Plans FY 2004 (568kb pdf) FY 2005 (625kb pdf) FY 2006 (625kb pdf) FY 2007 (1.45mb pdf) Meter policy Capital Investment Plans...

118

Fuel Performance Experiments and Modeling: Fission Gas Bubble Nucleation and Growth in Alloy Nuclear Fuels  

SciTech Connect

Advanced fast reactor systems being developed under the DOE's Advanced Fuel Cycle Initiative are designed to destroy TRU isotopes generated in existing and future nuclear energy systems. Over the past 40 years, multiple experiments and demonstrations have been completed using U-Zr, U-Pu-Zr, U-Mo and other metal alloys. As a result, multiple empirical and semi-empirical relationships have been established to develop empirical performance modeling codes. many mechamistic questions about fission as mobility, bubble coalescience, and gas release have been answered through industrial experience, reearch, and empirical understanding. The advent of modern computational materials science, however, opens new doors of development such that physics-based multi-scale models may be developed to enable a new generation of predictive fuel performance codes that are not limited by empiricism.

McDeavitt, Sean; Shao, Lin; Tsvetkov, Pavel; Wirth, Brian; Kennedy, Rory

2014-04-07T23:59:59.000Z

119

Model Year 2006: Alternative Fuel and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

06: Alternative Fuel and Advanced Technology Vehicles 06: Alternative Fuel and Advanced Technology Vehicles Fuel Type EPAct Compliant? Model Vehicle Type Emission Class Powertrain Fuel Capacity Range American Honda Motor Corporation 888-CCHONDA www.honda.com CNG Dedicated EPAct Yes Civic GX Compact Sedan SULEV Tier 2 Bin II 1.7L, 4-cylinder 8 GGE 200 mi HEV (NiMH) EPAct No Accord Hybrid Sedan ULEV 3.0L V6 144 volt NiMH + 17.1 Gal Gasoline TBD HEV (NiMH) EPAct No Civic Hybrid Sedan CA ULEV 1.3L, 4-cylinder 144 volt NiMH + 13.2 Gal Gasoline TBD HEV (NiMH) EPAct No Insight Two-seater SULEV (CVT model) ULEV (MT model) 1.0L, 3-cylinder 144 volt NiMH + 10.6 Gal Gasoline 636 mi DaimlerChrysler 800-999-FLEET www.fleet.chrysler.com E85 FFV EPAct Yes Dodge Ram Pickup 1500 Series 1 Pickup Tier 2 Bin 10A 4.7L V8 26 Gal 416 mi E85 FFV

120

Fuel Cell Technologies Office: Transport Modeling Working Group  

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

Transport Modeling Working Group Transport Modeling Working Group The Transport Modeling Working Group meets twice per year to exchange information, create synergies, share experimental and computational results, and collaboratively develop methodologies for and understanding of transport phenomena in polymer electrolyte fuel cell stacks. Its members include principle investigators and supporting personnel from transport-related projects funded by the U.S. Department of Energy (DOE). Learn more about DOE research activities can be found in the Multi-Year Research, Development, and Demonstration Plan. Description Technical Targets Meetings Contacts Description Fuel cell operation relies on effective mass transport of species through individual components and across the interfaces between components. Among these species are hydrogen, oxygen, water, protons, and electrons. Transport behavior is a function of operating conditions and component properties such as microstructure and surface properties. Understanding and optimizing the controlling transport phenomena are critical to the efficient and cost-effective operation of polymer electrolyte fuel cells. A better understanding of mass transport in the fuel cell, especially of water, has the potential to lead to improved designs and more efficient systems.

Note: This page contains sample records for the topic "fuels model capital" 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

Current Capabilities of the Fuel Performance Modeling Code PARFUME  

SciTech Connect

The success of gas reactors depends upon the safety and quality of the coated particle fuel. A fuel performance modeling code (called PARFUME), which simulates the mechanical and physico-chemical behavior of fuel particles during irradiation, is under development at the Idaho National Engineering and Environmental Laboratory. Among current capabilities in the code are: 1) various options for calculating CO production and fission product gas release, 2) a thermal model that calculates a time-dependent temperature profile through a pebble bed sphere or a prismatic block core, as well as through the layers of each analyzed particle, 3) simulation of multi-dimensional particle behavior associated with cracking in the IPyC layer, partial debonding of the IPyC from the SiC, particle asphericity, kernel migration, and thinning of the SiC caused by interaction of fission products with the SiC, 4) two independent methods for determining particle failure probabilities, 5) a model for calculating release-to-birth (R/B) ratios of gaseous fission products, that accounts for particle failures and uranium contamination in the fuel matrix, and 6) the evaluation of an accident condition, where a particle experiences a sudden change in temperature following a period of normal irradiation. This paper presents an overview of the code.

G. K. Miller; D. A. Petti; J. T. Maki; D. L. Knudson

2004-09-01T23:59:59.000Z

122

CONTROL-ORIENTED MODELING OF A SOLID-OXIDE FUEL CELL STACK USING AN LPV MODEL STRUCTURE  

E-Print Network (OSTI)

CONTROL-ORIENTED MODELING OF A SOLID-OXIDE FUEL CELL STACK USING AN LPV MODEL STRUCTURE Borhan M dynamic model of a solid oxide fuel cell stack. Using a detailed physical model as a starting point, we (usually air) on the cathode side. Solid-oxide fuel cells (SOFCs) utilize a ceramic oxygen-ion conducting

Sanandaji, Borhan M.

123

Help for Working Capital  

Science Journals Connector (OSTI)

Help for Working Capital ... It takes a sharp pencil to figure out ways and means of all eviating the constant pressure for new money for capital expenditure needed by our steadily expanding industry ... These funds not only must now absorb higher operating costs, but also must be counted upon heavily for capital expenditure as well. ...

HARRIS MCASHAN

1950-12-18T23:59:59.000Z

124

Modeling Cold Start in a Polymer-Electrolyte Fuel Cell  

E-Print Network (OSTI)

conditions used for fuel—cell simulations. 3.12 Values usedFuel Cells . . . . . . . . . . . . . . . . . . . . . . 1.1.1in Polymer Electrolyte Fuel Cells — II. Parametric Study,”

Balliet, Ryan

2010-01-01T23:59:59.000Z

125

Capital E | Open Energy Information  

Open Energy Info (EERE)

E E Jump to: navigation, search Name Capital E Place Washington, Washington, DC Zip DC 20003 Sector Services, Solar Product Capital E is a consulting firm which provides services such as technology evaluation and strategic marketing support for mainly fuel cell and solar power industries. Coordinates 38.89037°, -77.031959° 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":38.89037,"lon":-77.031959,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

126

Sensitivity of economic performance of the nuclear fuel cycle to simulation modeling assumptions  

E-Print Network (OSTI)

Comparing different nuclear fuel cycles and assessing their implications require a fuel cycle simulation model as complete and realistic as possible. In this thesis, methodological implications of modeling choices are ...

Bonnet, Nicéphore

2007-01-01T23:59:59.000Z

127

Fuel-Cycle Energy and Emissions Analysis with the GREET Model...  

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

Fuel-Cycle Energy and Emissions Analysis with the GREET Model Fuel-Cycle Energy and Emissions Analysis with the GREET Model 2009 DOE Hydrogen Program and Vehicle Technologies...

128

Model-based control strategies in the dynamic interaction of air supply and fuel cell  

E-Print Network (OSTI)

Model-based control strategies in the dynamic interaction of air supply and fuel cell M Grujicic1Ã? fuel cell temperature. The model is used to analyse the control of the fuel cell system with respect, University of Michigan, Ann Arbor, Michigan, USA Abstract: Model-based control strategies are utilized

Grujicic, Mica

129

Capital structure choices  

Science Journals Connector (OSTI)

Corporate finance theory provides a number of competing hypotheses for explaining the capital structure choice of firms. The major ones are the 'trade-off' theory, which hypothesises an optimal combination of debt and equity capital, and the 'pecking-order' theory, which suggests a ranking order between different types of capital making a firm's capital structure an aggregated result of successive financial decisions. Previous studies find evidence both supporting and contradicting the two theories. We examine the role and importance of different firm characteristics as well as to what extent managers in Swedish firms make capital structure choices in accordance with the theories and are affected by concepts like optimal capital structure, financial hierarchy, windows of opportunity, signalling, asymmetric information and flexibility. Our conclusion is that capital structure choices are built on a balancing notion suggesting a revised trade-off theory or alternatively an extended pecking order theory also incorporating agency costs and signalling.

Ted Lindblom; Gert Sandahl; Stefan Sjogren

2011-01-01T23:59:59.000Z

130

TRISO-Fuel Element Performance Modeling for the Hybrid LIFE Engine with Pu Fuel Blanket  

SciTech Connect

A TRISO-coated fuel thermo-mechanical performance study is performed for the hybrid LIFE engine to test the viability of TRISO particles to achieve ultra-high burnup of a weapons-grade Pu blanket. Our methodology includes full elastic anisotropy, time and temperature varying material properties for all TRISO layers, and a procedure to remap the elastic solutions in order to achieve fast fluences up to 30 x 10{sup 25} n {center_dot} m{sup -2} (E > 0.18 MeV). In order to model fast fluences in the range of {approx} 7 {approx} 30 x 10{sup 25} n {center_dot} m{sup -2}, for which no data exist, careful scalings and extrapolations of the known TRISO material properties are carried out under a number of potential scenarios. A number of findings can be extracted from our study. First, failure of the internal pyrolytic carbon (PyC) layer occurs within the first two months of operation. Then, the particles behave as BISO-coated particles, with the internal pressure being withstood directly by the SiC layer. Later, after 1.6 years, the remaining PyC crumbles due to void swelling and the fuel particle becomes a single-SiC-layer particle. Unrestrained by the PyC layers, and at the temperatures and fluences in the LIFE engine, the SiC layer maintains reasonably-low tensile stresses until the end-of-life. Second, the PyC creep constant, K, has a striking influence on the fuel performance of TRISO-coated particles, whose stresses scale almost inversely proportional to K. Obtaining more reliable measurements, especially at higher fluences, is an imperative for the fidelity of our models. Finally, varying the geometry of the TRISO-coated fuel particles results in little differences in the scope of fuel performance. The mechanical integrity of 2-cm graphite pebbles that act as fuel matrix has also been studied and it is concluded that they can reliable serve the entire LIFE burnup cycle without failure.

DeMange, P; Marian, J; Caro, M; Caro, A

2010-02-18T23:59:59.000Z

131

Market Share Elasticities for Fuel and Technology Choice in Home Heating and Cooling  

E-Print Network (OSTI)

into operating costs using fuel price data, and into capitalConstruction Cost Data. Both fuel prices and capital costs1975]: "The Effects of Fuel Prices on Residential Appliance

Wood, D.J.

2010-01-01T23:59:59.000Z

132

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

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

34 34 ORNL/TM-2001/134 TAFV Alternative Fuels and TAFV Alternative Fuels and Vehicles Choice Model Vehicles Choice Model Documentation Documentation July 2001 David L. Greene David L. Greene Corporate Fellow Corporate Fellow DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-605-6000 (1-800-553-6847) TDD: 703-487-4639 Fax: 703-605-6900 E-mail: info@ntis.fedworld.gov Web site: http://www.ntis.gov/support/ordernowabout.htm Reports are available to DOE employees, DOE contractors, Energy Technology Data Exchange

133

Lessons Learned from Alternative Transportation Fuels: Modeling Transition Dynamics  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Lessons Learned from Lessons Learned from Alternative Transportation Fuels: Modeling Transition Dynamics C. Welch Technical Report NREL/TP-540-39446 February 2006 Lessons Learned from Alternative Transportation Fuels: Modeling Transition Dynamics C. Welch Prepared under Task Nos. HS04.2000 and HS06.1002 Technical Report NREL/TP-540-39446 February 2006 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

134

Model-based Interpretation of the Performance and Degradation of Reformate Fueled Solid Oxide Fuel Cells.  

E-Print Network (OSTI)

??Solid oxide fuel cells offer great prospects for the sustainable, clean and safe conversion of various fuels into electrical energy. In this thesis, the performance-determining… (more)

Kromp, Alexander

2013-01-01T23:59:59.000Z

135

Fuels  

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

Goals > Fuels Goals > Fuels XMAT for nuclear fuels XMAT is ideally suited to explore all of the radiation processes experienced by nuclear fuels.The high energy, heavy ion accleration capability (e.g., 250 MeV U) can produce bulk damage deep in the sample, achieving neutron type depths (~10 microns), beyond the range of surface sputtering effects. The APS X-rays are well matched to the ion beams, and are able to probe individual grains at similar penetrations depths. Damage rates to 25 displacements per atom per hour (DPA/hr), and doses >2500 DPA can be achieved. MORE» Fuels in LWRs are subjected to ~1 DPA per day High burn-up fuel can experience >2000 DPA. Traditional reactor tests by neutron irradiation require 3 years in a reactor and 1 year cool down. Conventional accelerators (>1 MeV/ion) are limited to <200-400 DPAs, and

136

Radionuclide release rates from spent fuel for performance assessment modeling  

SciTech Connect

In a scenario of aqueous transport from a high-level radioactive waste repository, the concentration of radionuclides in water in contact with the waste constitutes the source term for transport models, and as such represents a fundamental component of all performance assessment models. Many laboratory experiments have been done to characterize release rates and understand processes influencing radionuclide release rates from irradiated nuclear fuel. Natural analogues of these waste forms have been studied to obtain information regarding the long-term stability of potential waste forms in complex natural systems. This information from diverse sources must be brought together to develop and defend methods used to define source terms for performance assessment models. In this manuscript examples of measures of radionuclide release rates from spent nuclear fuel or analogues of nuclear fuel are presented. Each example represents a very different approach to obtaining a numerical measure and each has its limitations. There is no way to obtain an unambiguous measure of this or any parameter used in performance assessment codes for evaluating the effects of processes operative over many millennia. The examples are intended to suggest by example that in the absence of the ability to evaluate accuracy and precision, consistency of a broadly based set of data can be used as circumstantial evidence to defend the choice of parameters used in performance assessments.

Curtis, D.B.

1994-11-01T23:59:59.000Z

137

Recent Advances in Detailed Chemical Kinetic Models for Large Hydrocarbon and Biodiesel Transportation Fuels  

SciTech Connect

n-Hexadecane and 2,2,4,4,6,8,8-heptamethylnonane represent the primary reference fuels for diesel that are used to determine cetane number, a measure of the ignition property of diesel fuel. With the development of chemical kinetics models for these two primary reference fuels for diesel, a new capability is now available to model diesel fuel ignition. Also, we have developed chemical kinetic models for a whole series of large n-alkanes and a large iso-alkane to represent these chemical classes in fuel surrogates for conventional and future fuels. Methyl decanoate and methyl stearate are large methyl esters that are closely related to biodiesel fuels, and kinetic models for these molecules have also been developed. These chemical kinetic models are used to predict the effect of the fuel molecule size and structure on ignition characteristics under conditions found in internal combustion engines.

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

2009-03-30T23:59:59.000Z

138

THERMODYNAMIC MODEL FOR URANIUM DIOXIDE BASED NUCLEAR FUEL  

SciTech Connect

Many projects involving nuclear fuel rest on a quantitative understanding of the co-existing phases at various stages of burnup. Since the many fission products have considerably different abilities to chemically associate with oxygen, and the oxygen-to-metal molar ratio is slowly changing, the chemical potential of oxygen is a function of burnup. Concurrently, well-recognized small fractions of new phases such as inert gas, noble metals, zirconates, etc. also develop. To further complicate matters, the dominant UO2 fuel phase may be non-stoichiometric and most of the minor phases themselves have a variable composition dependent on temperature and possible contact with the coolant in the event of a sheathing breach. A thermodynamic fuel model to predict the phases in partially burned CANDU (CANada Deuterium Uranium) nuclear fuel containing many major fission products has been under development. The building blocks of the model are the standard Gibbs energies of formation of the many possible compounds expressed as a function of temperature. To these data are added mixing terms associated with the appearance of the component species in particular phases. In operational terms, the treatment rests on the ability to minimize the Gibbs energy in a multicomponent system, in our case using the algorithms developed by Eriksson. The model is capable of handling non-stoichiometry in the UO2 fluorite phase, dilute solution behaviour of significant solute oxides, noble metal inclusions, a second metal solid solution U(Pd-Rh-Ru)3, zirconate, molybdate, and uranate solutions as well as other minor solid phases, and volatile gaseous species.

Thompson, Dr. William T. [Royal Military College of Canada; Lewis, Dr. Brian J [Royal Military College of Canada; Corcoran, E. C. [Royal Military College of Canada; Kaye, Dr. Matthew H. [Royal Military College of Canada; White, S. J. [Royal Military College of Canada; Akbari, F. [Atomic Energy of Canada Limited, Chalk River Laboratories; Higgs, Jamie D. [Atomic Energy of Canada Limited, Point Lepreau; Thompson, D. M. [Praxair Inc.; Besmann, Theodore M [ORNL; Vogel, S. C. [Los Alamos National Laboratory (LANL)

2007-01-01T23:59:59.000Z

139

Modeling and simulation for a PEM fuel cell with catalyst layers in finite thickness.  

E-Print Network (OSTI)

??A detailed non-isothermal computational fluid dynamics (CFD) model for proton electrolyte membrane (PEM) fuel cells is developed in this thesis. This model consists of the… (more)

Yin, Jianghui (Author)

2007-01-01T23:59:59.000Z

140

Modeling the transient operation of an endothermic fuel cooling system for high Mach number vehicle missions.  

E-Print Network (OSTI)

??A computer model was developed to simulate the transient operation of a hypothetical endothermic fuel cooling system. The model simulated the performance of a cross-flow,… (more)

Williams, Mark Robert

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model  

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

Cycle Analysis of Hydrogen-Powered Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Michael Wang Argonne National Laboratory June 10, 2008 Project ID # AN2 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Overview * Project start date: Oct. 2002 * Project end date: Continuous * Percent complete: N/A * Inconsistent data, assumptions, and guidelines * Suite of models and tools * Unplanned studies and analyses * Total project funding from DOE: $2.04 million through FY08 * Funding received in FY07: $450k * Funding for FY08: $840k Budget * H2A team * PSAT team * NREL * Industry stakeholders Partners Timeline Barriers to Address 3 Objectives * Expand and update the GREET model for hydrogen production pathways and for applications of FCVs and other FC systems

142

A Planar Anode -Supported Solid Oxide Fuel Cell Model with Internal Reforming of Natural Gas  

E-Print Network (OSTI)

1 A Planar Anode - Supported Solid Oxide Fuel Cell Model with Internal Reforming of Natural Gas of natural gas has been developed. The model simultaneously solves mass, energy transport equations emission level, and multiple fuel utilization. SOFC can operate with various kinds of fuels such as natural

Boyer, Edmond

143

Dosimetry Modeling for Predicting Radiolytic Production at the Spent Fuel - Water Interface  

SciTech Connect

Modeling of the alpha, beta, and gamma dose from spent fuel as a function of particle size and fuel to water ratio was examined. These doses will be combined with modeling of G values and interactions to determine the concentration of various species formed at the fuel water interface and their affect on dissolution rates.

Miller, William H.; Kline, Amanda J.; Hanson, Brady D.

2006-04-30T23:59:59.000Z

144

A non-isothermal PEM fuel cell model including two water transport mechanisms in the  

E-Print Network (OSTI)

A non-isothermal PEM fuel cell model including two water transport mechanisms in the membrane K Freiburg Germany A dynamic two-phase flow model for proton exchange mem- brane (PEM) fuel cells and the species concentrations. In order to describe the charge transport in the fuel cell the Poisson equations

Münster, Westfälische Wilhelms-Universität

145

Liquid Water Dynamics in a Model Polymer Electrolyte Fuel Cell Flow Channel  

E-Print Network (OSTI)

Liquid Water Dynamics in a Model Polymer Electrolyte Fuel Cell Flow Channel by Chris Miller in a Model Polymer Electrolyte Fuel Cell Flow Channel by Chris Miller Bachelors of Engineering, University in a polymer electrolyte fuel cell is a critical issue in ensuring high cell performance. The water production

Victoria, University of

146

MODELING THE EFFECT OF FLOW FIELD DESIGN ON PEM FUEL CELL PERFORMANCE  

E-Print Network (OSTI)

MODELING THE EFFECT OF FLOW FIELD DESIGN ON PEM FUEL CELL PERFORMANCE Jeffrey Glandt, Sirivatch University of South Carolina Columbia, SC 29208 vanzee@engr.sc.edu Key words: PEM fuel cell, flow field or printed in its publications. #12;2 MODELING THE EFFECT OF FLOW FIELD DESIGN ON PEM FUEL CELL PERFORMANCE

Van Zee, John W.

147

Thermal modeling and temperature control of a PEM fuel cell system for forklift applications  

E-Print Network (OSTI)

Thermal modeling and temperature control of a PEM fuel cell system for forklift applications simulation System modeling and control PEMFC a b s t r a c t Temperature changes in PEM fuel cell stacks. Stack thermal management and control are, thus, crucial issues in PEM fuel cell systems especially

Berning, Torsten

148

A Three-Dimensional Computational Model of PEM Fuel Cell with Serpentine Gas Channels  

E-Print Network (OSTI)

A Three-Dimensional Computational Model of PEM Fuel Cell with Serpentine Gas Channels by Phong) fuel cell with serpentine gas flow channels is presented in this thesis. This comprehensive model accounts for important transport phenomena in a fuel cell such as heat transfer, mass transfer, electrode

Victoria, University of

149

On a Pioneering Polymer Electrolyte Fuel Cell Model  

SciTech Connect

"Polymer Electrolyte Fuel Cell Model" is a seminal work that continues to form the basis for modern modeling efforts, especially models concerning the membrane and its behavior at the continuum level. The paper is complete with experimental data, modeling equations, model validation, and optimization scenarios. While the treatment of the underlying phenomena is limited to isothermal, single-phase conditions, and one-dimensional flow, it represents the key interactions within the membrane at the center of the PEFC. It focuses on analyzing the water balance within the cell and clearly demonstrates the complex interactions of water diffusion and electro-osmotic flux. Cell-level and system-level water balance are key to the development of efficient PEFCs going forward, particularly as researchers address the need to simplify humidification and recycle configurations while increasing the operating temperature of the stack to minimize radiator requirements.

Weber, Adam Z.; Meyers, Jeremy P.

2010-07-07T23:59:59.000Z

150

The National Energy Modeling System: An Overview 2000 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

renewable fuels module (RFM) consists of five submodules that represent the various types of renewable energy technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (wind, solar, and geothermal) are used to generate electricity, the interaction with the electricity market module (EMM) is important for modeling grid-connected renewable-electric applications. The penetration of grid-connected generation technologies, with the exception of municipal solid waste, is determined by EMM. Hydropower is included in EMM directly. renewable fuels module (RFM) consists of five submodules that represent the various types of renewable energy technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (wind, solar, and geothermal) are used to generate electricity, the interaction with the electricity market module (EMM) is important for modeling grid-connected renewable-electric applications. The penetration of grid-connected generation technologies, with the exception of municipal solid waste, is determined by EMM. Hydropower is included in EMM directly. Figure 11. Renewable Fuels Module Structure Each submodule of RFM is solved independently of the rest. Because variable operation and maintenance costs for renewable technologies are lower than for any other major generating technology and they produce almost no air pollution, all available renewable generating capacity is dispatched first by EMM.

151

Chemical Looping Combustion System-Fuel Reactor Modeling  

SciTech Connect

Chemical looping combustion (CLC) is a process in which an oxygen carrier is used for fuel combustion instead of air or pure oxygen as shown in the figure below. The combustion is split into air and fuel reactors where the oxidation of the oxygen carrier and the reduction of the oxidized metal occur respectively. The CLC system provides a sequestration-ready CO2 stream with no additional energy required for separation. This major advantage places combustion looping at the leading edge of a possible shift in strict control of CO2 emissions from power plants. Research in this novel technology has been focused in three distinct areas: techno-economic evaluations, integration of the system into power plant concepts, and experimental development of oxygen carrier metals such as Fe, Ni, Mn, Cu, and Ca. Our recent thorough literature review shows that multiphase fluid dynamics modeling for CLC is not available in the open literature. Here, we have modified the MFIX code to model fluid dynamic in the fuel reactor. A computer generated movie of our simulation shows bubble behavior consistent with experimental observations.

Gamwo, I.K.; Jung, J. (ANL); Anderson, R.R.; Soong, Y.

2007-04-01T23:59:59.000Z

152

Virginia Capital Access Program (Virginia) | Department of Energy  

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

Capital Access Program (Virginia) Capital Access Program (Virginia) Virginia Capital Access Program (Virginia) < Back Eligibility Commercial Industrial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Virginia Program Type Loan Program Provider Virginia Economic Development Partnership The Virginia Capital Access Program (CAP), in partnership with Virginia's Small Business Financing Authority, provides access to capital for small businesses. Businesses must apply to participating banks for a traditional loan, and the lender advises the company of enrollment in CAP. The program offers loan guarantees on a portfolio of loans through a loan loss reserve, which it establishes at each participating bank. Funds can be used for

153

Florida Venture Capital Program (Florida) | Department of Energy  

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

Florida Venture Capital Program (Florida) Florida Venture Capital Program (Florida) Florida Venture Capital Program (Florida) < Back Eligibility Commercial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info Funding Source US Department of the Treasury State Florida Program Type Equity Investment Grant Program Provider Florida Opportunity Fund The Florida Venture Capital Program provides equity investments and convertible debt instruments to emerging Florida companies and companies locating in Florida with long-term growth potential. Equity investments require a matching private capital investment or other credit assistance. Equity investments and debt instruments ranging from $1,000,000 to $5,000,000 are available, though larger transactions are permitted in

154

Fixed Capital Investment Tax Credit (Connecticut) | Department of Energy  

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

Fixed Capital Investment Tax Credit (Connecticut) Fixed Capital Investment Tax Credit (Connecticut) Fixed Capital Investment Tax Credit (Connecticut) < Back Eligibility Commercial Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Connecticut Program Type Corporate Tax Incentive Provider Connecticut Department of Economic and Community Development The Fixed Capital Investment Tax Credit allows a tax credit of 5% of the amount paid for any new fixed capital investment. Companies with fewer than 800 full-time employees may take a tax credit for machinery and equipment purchased and installed in a facility. The credit is based on a percentage of the amount spent on machinery that exceeds the amount spend on machinery

155

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

SciTech Connect

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

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

2008-04-21T23:59:59.000Z

156

Model documentation Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.

NONE

1996-01-01T23:59:59.000Z

157

An integrated performance model for high temperature gas cooled reactor coated particle fuel  

E-Print Network (OSTI)

The performance of coated fuel particles is essential for the development and deployment of High Temperature Gas Reactor (HTGR) systems for future power generation. Fuel performance modeling is indispensable for understanding ...

Wang, Jing, 1976-

2004-01-01T23:59:59.000Z

158

Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model  

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

Video recording of the Fuel Cell Technologies Office webinar, DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model, originally presented on December 11, 2012.

159

Mapping surface fuels using LIDAR and multispectral data fusion for fire behavior modeling  

E-Print Network (OSTI)

, LIDAR derived data provides accurate estimates of surface fuel parameters efficiently and accurately over extensive areas of forests. This study demonstrates the importance of using accurate maps of fuel models derived using new LIDAR remote sensing...

Mutlu, Muge

2009-05-15T23:59:59.000Z

160

Determination of the proper operating range for the CAFCA IIB fuel cycle model  

E-Print Network (OSTI)

The fuel cycle simulation tool, CAFCA II was previously modified to produce the most recent version, CAFCA IIB. The code tracks the mass distribution of transuranics in the fuel cycle in one model and also projects costs ...

Warburton, Jamie (Jamie L.)

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016  

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

The final rule for the Corporate Average Fuel Economy (CAFE) Standards was published in March 2010. Under this rule, each light vehicle model produced for sale in the United States will have a fuel...

162

Capital Access Program (Vermont)  

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

The Capital Access Program provides loan guarantees to small businesses seeking access to commercial credit. Premiums paid by the borrower and matched by Vermont Economic Development Authority fund...

163

Social Capital in Professional Learning Communities  

E-Print Network (OSTI)

in sociology of education research. Drawing on organizational sociology, this research proposes a model of PLC social capital that treats brokerage (external ties) and closure (internal ties) as the key dimensions of team functioning as proposed by Ron Burt...

Conrady, David P.

2013-05-31T23:59:59.000Z

164

Modeling Water Management in Polymer-Electrolyte Fuel Cells  

E-Print Network (OSTI)

Newman, in Advances in Fuel Cells, Vol. 1, T. S. Zhao, K. -A. Uribe and B. S. Pivovar, Fuel Cells, 7, 153 (2007). R. C.and S. Srinivasan, Fuel Cells: Their Electrochemistry,

Weber, Adam; Department of Chemical Engineering, University of California, Berkeley

2008-01-01T23:59:59.000Z

165

Modeling Cold Start in a Polymer-Electrolyte Fuel Cell  

E-Print Network (OSTI)

of Platinum Movement In PEM Fuel Cells,” Journal of theKinetics in Subfreezing PEM Fuel Cells,” Journal of theGu, and H. A. Gasteiger, “PEM Fuel Cell Op- eration at -20

Balliet, Ryan

2010-01-01T23:59:59.000Z

166

Mathematical modeling of polymer exchange membrane fuel cells.  

E-Print Network (OSTI)

??Fuel cells are predicted to be the power delivery devices of the future. They have many advantages such as the wide fuel selection, high energy… (more)

Spiegel, Colleen

2008-01-01T23:59:59.000Z

167

The Ohio Capital Access Program (OCAP) (Ohio) | Department of Energy  

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

The Ohio Capital Access Program (OCAP) (Ohio) The Ohio Capital Access Program (OCAP) (Ohio) The Ohio Capital Access Program (OCAP) (Ohio) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Retail Supplier Transportation Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Ohio Program Type Loan Program Provider Ohio Development Services Agency The Ohio Capital Access Program (OCAP) encourages state depository financial institutions to make loans to for-profit or nonprofit small businesses that are having difficulty obtaining business loans through conventional underwriting standards. The business' principal place of business must be in Ohio with revenues less than $10 million and with fewer

168

Performance modeling of the Ballard Mark IV solid polymer electrolyte fuel cell. 1: Mechanistic model development  

SciTech Connect

A parametric model predicting the performance of a solid polymer electrolyte, proton exchange membrane (PEM) fuel cell has been developed using a combination of mechanistic and empirical modeling techniques. This paper details the mechanistic model development. Mass transport properties are considered in the mechanistic development via Stefan-Maxwell equations. Thermodynamic equilibrium potentials are defined using the Nernst equation. Activation overvoltages are defined via a Tafel equation, and internal resistance are defined via the Nernst-Planck equation, leading to a definition of ohmic overvoltage via an Ohm's law equation. The mechanistic model cannot adequately model fuel cell performance, since several simplifying approximations have been used in order to facilitate model development. Additionally, certain properties likely to be observed in operational fuel cells, such as thermal gradients, have not been considered. Nonetheless, the insights gained from the mechanistic assessment of fuel cell processes were found to give the resulting empirical model a firmer theoretical basis than many of the models presently available in the literature. Correlation of the empirical model to actual experimental data was very good.

Amphlett, J.C.; Baumert, R.M.; Mann, R.F.; Peppley, B.A.; Roberge, P.R. (Royal Military College of Canada, Kingston, Ontario (Canada)); Harris, T.J. (Queen's Univ., Kingston, Ontario (Canada))

1995-01-01T23:59:59.000Z

169

Economy slows Arco's capital expenditures  

Science Journals Connector (OSTI)

Economy slows Arco's capital expenditures ... Arco Chemical's new president and chief executive officer, Alan R. Hirsig, told shareholders the company plans to stretch out its capital expenditure program and as a result, expects sharply lower capital spending in 1992. ...

MARC REISCH

1991-06-10T23:59:59.000Z

170

Capital investment and momentum strategies  

Science Journals Connector (OSTI)

We use three ways to measure firms’ capital investment. First, we use scaled annual capital expenditure (I). Second, we use the change of scaled annual capital expenditure (IC) between 2 years. Finally, ... (Accr...

Guohua Jiang; Donglin Li; Gang Li

2012-08-01T23:59:59.000Z

171

Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project  

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

Wind-to-Hydrogen Cost Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) to someone by E-mail Share Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on Facebook Tweet about Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on Twitter Bookmark Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on Google Bookmark Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on Delicious Rank Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on Digg Find More places to share Fuel Cell Technologies Office: Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version) on

172

Computational Fuel Cell Research and SOFC Modeling at Penn State  

E-Print Network (OSTI)

Materials Research and Component Fabrication Kinetics and Thermal Transport Fuel Cell/Battery Simulation multidisciplinary research on fuel cells and advanced batteries for vehicle propulsion, distributed power generation, DMFC, and SOFC #12;ECEC Facilities (>5,000 sq ft) Fuel Cell/Battery Experimental Labs Fuel Cell

173

Development of custom fire behavior fuel models from FCCS fuelbeds for the Savannah River fuel assessment project.  

SciTech Connect

The purpose of this project is to create fire behavior fuel models that replicate the fire behavior characteristics (spread rate and fireline intensity) produced by 23 candidate FCCS fuelbeds developed for the Savannah River National Wildlife Refuge. These 23 fuelbeds were created by FERA staff in consultation with local fuel managers. The FCCS produces simulations of surface fire spread rate and flame length (and therefore fireline intensity) for each of these fuelbeds, but it does not produce maps of those fire behavior characteristics or simulate fire growth—those tasks currently require the use of the FARSITE and/or FlamMap software systems. FARSITE and FlamMap do not directly use FCCS fuelbeds, but instead use standard or custom fire behavior fuel models to describe surface fuel characteristics for fire modeling. Therefore, replicating fire growth and fire behavior potential calculations using FCCS?simulated fire characteristics requires the development of custom fuel models that mimic, as closely as possible, the fire behavior characteristics produced by the FCCS for each fuelbed, over a range of fuel moisture and wind speeds.

Scott, Joe, H.

2009-07-23T23:59:59.000Z

174

Performance modeling and cell design for high concentration methanol fuel cells  

E-Print Network (OSTI)

) it reduces the fuel efficiency (methanol is reacted without producing electrical current). We canChapter 50 Performance modeling and cell design for high concentration methanol fuel cells C. E The direct methanol fuel cell (DMFC) has become a lead- ing contender to replace the lithium-ion (Li

175

CONTROL-ORIENTED MODELING AND ANALYSIS FOR AUTOMOTIVE FUEL CELL SYSTEMS  

E-Print Network (OSTI)

CONTROL-ORIENTED MODELING AND ANALYSIS FOR AUTOMOTIVE FUEL CELL SYSTEMS Jay T. Pukrushpan Huei Peng of Michigan Ann Arbor, Michigan 48109-2125 Email: pukrushp@umich.edu Abstract Fuel Cells are electrochemical regarded as a potential future stationary and mobile power source. The response of a fuel cell system

Peng, Huei

176

Modeling and simulation of hydrogen behavior in Zircaloy-4 fuel Olivier Courty a,1  

E-Print Network (OSTI)

Modeling and simulation of hydrogen behavior in Zircaloy-4 fuel cladding Olivier Courty a,1 reactors, hydrogen can enter the zirconium- alloy fuel cladding and precipitate as brittle hydride in order to calculate the hydrogen distribution for arbitrary geometries, such as a nuclear fuel rod

Motta, Arthur T.

177

Modeling of the mixed potential in hydrogen peroxide-based fuel cells  

E-Print Network (OSTI)

Modeling of the mixed potential in hydrogen peroxide-based fuel cells L. An, T.S. Zhao*, Z.H. Chai 28 February 2014 Available online 31 March 2014 Keywords: Fuel cell Hydrogen peroxide Mixed potential (HPOR) at the cathode of hydrogen peroxide-based fuel cells. The complicated physicochemical processes

Zhao, Tianshou

178

Model Predictive Control for Starvation Prevention in a Hybrid Fuel Cell System1  

E-Print Network (OSTI)

voltage, a control system is necessary for maintaining optimal temperature, membrane humidity and pressure: Schematic of the fuel cell stack and air supply control sys- tem. The fuel cell stack consists of 350 cellsModel Predictive Control for Starvation Prevention in a Hybrid Fuel Cell System1 Ardalan Vahidi 2

Stefanopoulou, Anna

179

Greener Capital | Open Energy Information  

Open Energy Info (EERE)

Name: Greener Capital Place: San Francisco, California Product: San Francisco-based clean technology VC. References: Greener Capital1 This article is a stub. You can help...

180

TRISO Fuel Performance: Modeling, Integration into Mainstream Design Studies, and Application to a Thorium-fueled Fusion-Fission Hybrid Blanket.  

E-Print Network (OSTI)

??This study focused on creating a new tristructural isotropic (TRISO) coated particle fuel performance model and demonstrating the integration of this model into an existing… (more)

Powers, Jeffrey

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Capital Investment Tax Credit (Florida) | Department of Energy  

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

Tax Credit (Florida) Tax Credit (Florida) Capital Investment Tax Credit (Florida) < Back Eligibility Commercial Construction Fuel Distributor Installer/Contractor Investor-Owned Utility Systems Integrator Transportation Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Florida Program Type Corporate Tax Incentive Provider Enterprise Florida The Capital Investment Tax Credit is an annual credit, provided for up to twenty years, against the corporate income tax. Eligible projects are those in designated high-impact portions of the following sectors: clean energy, biomedical technology, financial services, information technology, silicon technology, transportation equipment manufacturing, or be a corporate

182

EIA model documentation: Electricity market module - electricity fuel dispatch  

SciTech Connect

This report documents the National Energy Modeling System Electricity Fuel Dispatch Submodule (EFD), a submodule of the Electricity Market Module (EMM) as it was used for EIA`s Annual Energy Outlook 1997. It replaces previous documentation dated March 1994 and subsequent yearly update revisions. 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. This document serves four purposes. First, it is a reference document providing a detailed description of the model for reviewers and potential users of the EFD including energy experts at the Energy Information Administration (EIA), other Federal agencies, state energy agencies, private firms such as utilities and consulting firms, and non-profit groups such as consumer and environmental groups. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports. Third, it facilitates continuity in model development by providing documentation which details model enhancements that were undertaken for AE097 and since the previous documentation. Last, because the major use of the EFD is to develop forecasts, this documentation explains the calculations, major inputs and assumptions which were used to generate the AE097.

NONE

1997-01-01T23:59:59.000Z

183

Fuel Performance Code Benchmark for Uncertainty Analysis in Light Water Reactor Modeling.  

E-Print Network (OSTI)

??Fuel performance codes are used in the design and safety analysis of light water reactors. The differences in the physical models and the numerics of… (more)

Blyth, Taylor

2012-01-01T23:59:59.000Z

184

Demonstrating Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control  

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

Presents a next generation model-based engine controller that incorporates real-time fuel efficiency optimization and tested under fully transient engine and vehicle operating conditions.

185

MA3T Model Application at ORNL Assesses the Future of Fuel Cell...  

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

has developed a model for simulating the market potential of fuel cell electric vehicles (FCEV) and challenges to achieving success over time, including competition with...

186

Fuel Cell Tri-Generation System Case Study using the H2A Stationary Model  

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

Overview of H2A stationary model concept, results, strategy for analysis, Federal incentives for fuel cells, and summary of next steps

187

Improvement of Electrocatalyst Performance in Hydrogen Fuel Cells by Multiscale Modelling.  

E-Print Network (OSTI)

??The work in this thesis addresses the improvement of electrocatalyst performance inhydrogen PEM fuel cells. An agglomerate model for a catalyst layer was coupled witha… (more)

Marthosa, Sutida

2012-01-01T23:59:59.000Z

188

Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model  

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

Video recording and text version of the webinar titled, DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model, originally presented on May 22, 2012.

189

Chemical degradation of fluorosulfonamide fuel cell membrane polymer model compounds  

Science Journals Connector (OSTI)

Abstract The durability of a polymer electrolyte fuel cell membrane, along with high proton conductivity and mechanical performance is critical to the success of these energy conversion devices. Extending our work in perfluorinated membrane stability, aromatic trifluoromethyl sulfonamide model compounds were prepared, and their oxidative degradation was examined. The chemical structures for the models were based on mono-, di- and tri-perfluorinated sulfonamide modified phenyl rings. Durability of the model compounds was evaluated by exposure to hydroxyl radicals generated using Fenton reagent and UV irradiation of hydrogen peroxide. LC–MS results for the mono-substituted model compound indicate greater stability to radical oxidation than the di-substituted species; loss of perfluorinated fonamide side chains appears to be an important pathway, along with dimerization and aromatic ring hydroxylation. The tri-substituted model compound also shows loss of side chains, with the mono-substituted compound being a major oxidation product, along with a limited amount of hydroxylation and dimerization of the starting material.

Jamela M. Alsheheri; Hossein Ghassemi; David A. Schiraldi

2014-01-01T23:59:59.000Z

190

The efficiency of internal capital markets: Evidence from the Annual Capital Expenditure Survey  

Science Journals Connector (OSTI)

Does firm diversity result in an efficient or inefficient allocation of capital? Are diversified firms “value creating” or “value destroying”? We apply a panel data model to examine the relationship between firm diversity and firm value using both COMPUSTAT and the Annual Capital Expenditure Survey (ACES) data. Our main empirical result confirms that firm diversity is negatively related to the efficiency of investment (firm value), which is consistent with the majority findings of recent studies. However, once we distinguish between capital expenditure for structures and equipment, we find that while firms do inefficiently allocate capital for equipment, they efficiently allocate capital for structures. These results suggest that when the decision has long-lasting repercussions, headquarters will, more often than not, make the correct choice.

Sumit Agarwal; I-Ming Chiu; Victor Souphom; Guy M. Yamashiro

2011-01-01T23:59:59.000Z

191

Modeling Cold Start in a Polymer-Electrolyte Fuel Cell  

E-Print Network (OSTI)

Boundary conditions used for fuel—cell simulations. 3.12to the Problem of Cold Start 1.1 Polymer—Electrolyte Fuelin Polymer Electrolyte Fuel Cells — II. Parametric Study,”

Balliet, Ryan

2010-01-01T23:59:59.000Z

192

Multi-scale solid oxide fuel cell materials modeling  

Science Journals Connector (OSTI)

Performance and degradation of fuel cell components are discussed in a multi-scale ... paper. Electrochemical reactions in a solid oxide fuel cell occur simultaneously as charge and gas pass ... and cathode to pr...

Ji Hoon Kim; Wing Kam Liu; Christopher Lee

2009-10-01T23:59:59.000Z

193

Capital Reporting Company Quadrennial ...  

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

448 - DEPO www.CapitalReportingCompany.com 2014 100 1 I contrast it with -- with gas pipeline. 2 I know the -- the big concern about the Alaska 3 pipeline from an...

194

Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model  

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

This presentation by Michael Wang of Argonne National Laboratory provides information about an analysis of hydrogen-powered fuel-cell systems.

195

Capital Projects Delivery Procedures Manual  

E-Print Network (OSTI)

1 Capital Projects Delivery Procedures Manual September 4, 2008 Office of the CFO #12;2 Page I of the Capital Budget 11 B. Budget Approval 12 C. Setting Up Capital Projects 13 III. Procedures for Design ­ Office of the Chief Financial Officer Financial Policies and Procedures for the Capital Project Delivery

Alpay, S. Pamir

196

Capital and revenue expenditures  

E-Print Network (OSTI)

T and Charaoteristios of Various Expenditures ~ ~ 7 III. Bases for Expenditure Classifioationi ~ ~ ~ ~ ~ ~ ~ ~ r ~ ' ~ IV ~ Methods of kooountiag for Capital and Revenue Expenditure( ~ ~ I CkPITLL ERE RKVRRUm bXPLM)ITURkiS ISTRORUGTIOR kn ?ttonpt will be made... whish represent part of the nooessary cost of usine the asset during the current period, shouLd be oharged abainst the revenue of the period? heveaue expenditures are expensosg capital expenditures are noti fhe toras aooounting period' and "fiscal...

Owens, Jack Bailey

2012-06-07T23:59:59.000Z

197

DOE and EPA Release Annual Fuel Economy Guide with 2013 Models | Department  

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

EPA Release Annual Fuel Economy Guide with 2013 Models EPA Release Annual Fuel Economy Guide with 2013 Models DOE and EPA Release Annual Fuel Economy Guide with 2013 Models December 6, 2012 - 5:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON -- The U.S. Environmental Protection Agency (EPA) and the Department of Energy (DOE) are releasing the 2013 Fuel Economy Guide, giving consumers clear and easy-to-read information to help them choose the most fuel efficient and low greenhouse gas emitting vehicles that meet their needs. The 2013 models include efficient and low-emission vehicles in a variety of classes and sizes, but notable this year is the growing availability of hybrids and the increasing number of electric vehicles. "This Administration has been working to foster a new generation of clean, fuel-efficient American vehicles, and part of that effort is

198

GREET 1.0 -- Transportation fuel cycles model: Methodology and use  

SciTech Connect

This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel-cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, Co, NOx, SOx, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydropower, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

Wang, M.Q.

1996-06-01T23:59:59.000Z

199

Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells  

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

The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models and data for transparent analytical evaluations. The following fact sheets provide an overview and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells.

200

Modeling of Air-Fuel Ratio Dynamics of Gasoline Combustion Engine with ARX Network  

E-Print Network (OSTI)

DS-06-1351 Modeling of Air-Fuel Ratio Dynamics of Gasoline Combustion Engine with ARX Network Tomás dynamics of gasoline engines during transient operation. With a collection of input-output data measured;Modeling of Air-Fuel Ratio Dynamics of Gasoline Combustion Engine with ARX Network I. INTRODUCTION

Johansen, Tor Arne

Note: This page contains sample records for the topic "fuels model capital" 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

Advanced Pellet Cladding Interaction Modeling Using the US DOE CASL Fuel Performance Code: Peregrine  

SciTech Connect

The US DOE’s Consortium for Advanced Simulation of LWRs (CASL) program has undertaken an effort to enhance and develop modeling and simulation tools for a virtual reactor application, including high fidelity neutronics, fluid flow/thermal hydraulics, and fuel and material behavior. The fuel performance analysis efforts aim to provide 3-dimensional capabilities for single and multiple rods to assess safety margins and the impact of plant operation and fuel rod design on the fuel thermomechanical- chemical behavior, including Pellet-Cladding Interaction (PCI) failures and CRUD-Induced Localized Corrosion (CILC) failures in PWRs. [1-3] The CASL fuel performance code, Peregrine, is an engineering scale code that is built upon the MOOSE/ELK/FOX computational FEM framework, which is also common to the fuel modeling framework, BISON [4,5]. Peregrine uses both 2-D and 3-D geometric fuel rod representations and contains a materials properties and fuel behavior model library for the UO2 and Zircaloy system common to PWR fuel derived from both open literature sources and the FALCON code [6]. The primary purpose of Peregrine is to accurately calculate the thermal, mechanical, and chemical processes active throughout a single fuel rod during operation in a reactor, for both steady state and off-normal conditions.

Jason Hales; Various

2014-06-01T23:59:59.000Z

202

Electricity price modeling and asset valuation: a multi-fuel structural approach  

Science Journals Connector (OSTI)

We introduce a new and highly tractable structural model for spot and derivative prices in electricity markets. Using a stochastic model ... we translate the demand for power and the prices of generating fuels in...

René Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

203

Connecticut Fuel Cell Activities: Markets, Programs, and Models  

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

Presented by the Connecticut Center for Advanced Technology, Inc. at the bi-monthly informational call for the DOE Fuel Cell Technologies Program on December 16, 2009

204

MELCOR model for an experimental 17x17 spent fuel PWR assembly.  

SciTech Connect

A MELCOR model has been developed to simulate a pressurized water reactor (PWR) 17 x 17 assembly in a spent fuel pool rack cell undergoing severe accident conditions. To the extent possible, the MELCOR model reflects the actual geometry, materials, and masses present in the experimental arrangement for the Sandia Fuel Project (SFP). The report presents an overview of the SFP experimental arrangement, the MELCOR model specifications, demonstration calculation results, and the input model listing.

Cardoni, Jeffrey

2010-11-01T23:59:59.000Z

205

Model documentation renewable fuels module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1997 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs. and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves three purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Finally, such documentation facilitates continuity in EIA model development by providing information sufficient to perform model enhancements and data updates as part of EIA`s ongoing mission to provide analytical and forecasting information systems.

NONE

1997-04-01T23:59:59.000Z

206

IT Capital Planning  

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

IT Capital Planning IT Capital Planning and Architecture Division (IM-21) Peter Lenentine, Director IM Organization Structure (as of 12/19/2013) Chief Information Officer (IM-1) Robert Brese Deputy Chief Information Officer Donald Adcock Associate CIO for Cyber Security (IM-30) Paul Cunningham (Acting) Corporate IT Project Management Office (IM-40) Frank Husson, Director Associate CIO for IT Planning, Architecture, and E-Government (IM-20) TheAnne Gordon Technology Evaluation Office (IM-50) Peter Tseronis, Director (Acting) Associate CIO for IT Corporate Management (IM-10) Sarah Gamage Associate CIO for Energy IT Services (IM-60) Virginia Arreguin Deputy Associate CIO for Cyber Security Paul Cunningham Deputy Associate CIO for Energy IT Services John Berthiaume (Acting) Human Capital and Administrative

207

Model for Simulation of Hydride Precipitation in Zr-Based Used Fuel  

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

for Simulation of Hydride Precipitation in Zr-Based Used Fuel for Simulation of Hydride Precipitation in Zr-Based Used Fuel Claddings: A Status Report on Current Model Capabilities Model for Simulation of Hydride Precipitation in Zr-Based Used Fuel Claddings: A Status Report on Current Model Capabilities The report demonstrates a meso-scale, microstructural evolution model for simulation of zirconium hydride precipitation in the cladding of used fuels during long-term dry-storage. While the Zr-based claddings (regarded as a barrier for containment of radioactive fission products and fuel) are manufactured free of any hydrogen, they absorb hydrogen during service in the reactor. The amount of hydrogen that the cladding picks up is primarily a function of the exact chemistry and microstructure of the claddings and reactor operating conditions, time-temperature history, and

208

EPA and DOE Release Annual Fuel Economy Guide with 2014 Models | Department  

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

EPA and DOE Release Annual Fuel Economy Guide with 2014 Models EPA and DOE Release Annual Fuel Economy Guide with 2014 Models EPA and DOE Release Annual Fuel Economy Guide with 2014 Models December 3, 2013 - 12:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON - The U.S. Environmental Protection Agency (EPA) and the Department of Energy (DOE) are releasing the 2014 Fuel Economy Guide, providing consumers with a valuable resource to identify and choose the most fuel efficient and low greenhouse gas emitting vehicles that meet their needs. The 2014 models include efficient and low-emission vehicles in a variety of classes and sizes, ensuring a wide variety of choices available for consumers. "For American families, the financial and environmental bottom line are high priorities when shopping for a new vehicle," said Administrator Gina

209

EPA and DOE Release Annual Fuel Economy Guide with 2014 Models | Department  

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

EPA and DOE Release Annual Fuel Economy Guide with 2014 Models EPA and DOE Release Annual Fuel Economy Guide with 2014 Models EPA and DOE Release Annual Fuel Economy Guide with 2014 Models December 3, 2013 - 12:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON - The U.S. Environmental Protection Agency (EPA) and the Department of Energy (DOE) are releasing the 2014 Fuel Economy Guide, providing consumers with a valuable resource to identify and choose the most fuel efficient and low greenhouse gas emitting vehicles that meet their needs. The 2014 models include efficient and low-emission vehicles in a variety of classes and sizes, ensuring a wide variety of choices available for consumers. "For American families, the financial and environmental bottom line are high priorities when shopping for a new vehicle," said Administrator Gina

210

DOE and EPA Release Annual Fuel Economy Guide with 2013 Models | Department  

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

DOE and EPA Release Annual Fuel Economy Guide with 2013 Models DOE and EPA Release Annual Fuel Economy Guide with 2013 Models DOE and EPA Release Annual Fuel Economy Guide with 2013 Models December 6, 2012 - 5:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON -- The U.S. Environmental Protection Agency (EPA) and the Department of Energy (DOE) are releasing the 2013 Fuel Economy Guide, giving consumers clear and easy-to-read information to help them choose the most fuel efficient and low greenhouse gas emitting vehicles that meet their needs. The 2013 models include efficient and low-emission vehicles in a variety of classes and sizes, but notable this year is the growing availability of hybrids and the increasing number of electric vehicles. "This Administration has been working to foster a new generation of

211

Innovation and Social Capital in Silicon Valley  

E-Print Network (OSTI)

Innovation and Social Capital in Silicon Valley * BRIEpath from social capital to innovation has been identified.social capital has for economic development and innovation.

Kenney, Martin; Patton, Donald

2003-01-01T23:59:59.000Z

212

Fuel Cell Power Model Version 2: Startup Guide, System Designs, and Case Studies. Modeling Electricity, Heat, and Hydrogen Generation from Fuel Cell-Based Distributed Energy Systems  

SciTech Connect

This guide helps users get started with the U.S. Department of Energy/National Renewable Energy Laboratory Fuel Cell Power (FCPower) Model Version 2, which is a Microsoft Excel workbook that analyzes the technical and economic aspects of high-temperature fuel cell-based distributed energy systems with the aim of providing consistent, transparent, comparable results. This type of energy system would provide onsite-generated heat and electricity to large end users such as hospitals and office complexes. The hydrogen produced could be used for fueling vehicles or stored for later conversion to electricity.

Steward, D.; Penev, M.; Saur, G.; Becker, W.; Zuboy, J.

2013-06-01T23:59:59.000Z

213

User Guide for VISION 3.4.7 (Verifiable Fuel Cycle Simulation) Model  

SciTech Connect

The purpose of this document is to provide a guide for using the current version of the Verifiable Fuel Cycle Simulation (VISION) model. This is a complex model with many parameters and options; the user is strongly encouraged to read this user guide before attempting to run the model. This model is an R&D work in progress and may contain errors and omissions. It is based upon numerous assumptions. This model is intended to assist in evaluating 'what if' scenarios and in comparing fuel, reactor, and fuel processing alternatives at a systems level. The model is not intended as a tool for process flow and design modeling of specific facilities nor for tracking individual units of fuel or other material through the system. The model is intended to examine the interactions among the components of a fuel system as a function of time varying system parameters; this model represents a dynamic rather than steady-state approximation of the nuclear fuel system. VISION models the nuclear cycle at the system level, not individual facilities, e.g., 'reactor types' not individual reactors and 'separation types' not individual separation plants. Natural uranium can be enriched, which produces enriched uranium, which goes into fuel fabrication, and depleted uranium (DU), which goes into storage. Fuel is transformed (transmuted) in reactors and then goes into a storage buffer. Used fuel can be pulled from storage into either separation or disposal. If sent to separations, fuel is transformed (partitioned) into fuel products, recovered uranium, and various categories of waste. Recycled material is stored until used by its assigned reactor type. VISION is comprised of several Microsoft Excel input files, a Powersim Studio core, and several Microsoft Excel output files. All must be co-located in the same folder on a PC to function. You must use Powersim Studio 8 or better. We have tested VISION with the Studio 8 Expert, Executive, and Education versions. The Expert and Education versions work with the number of reactor types of 3 or less. For more reactor types, the Executive version is currently required. The input files are Excel2003 format (xls). The output files are macro-enabled Excel2007 format (xlsm). VISION 3.4 was designed with more flexibility than previous versions, which were structured for only three reactor types - LWRs that can use only uranium oxide (UOX) fuel, LWRs that can use multiple fuel types (LWR MF), and fast reactors. One could not have, for example, two types of fast reactors concurrently. The new version allows 10 reactor types and any user-defined uranium-plutonium fuel is allowed. (Thorium-based fuels can be input but several features of the model would not work.) The user identifies (by year) the primary fuel to be used for each reactor type. The user can identify for each primary fuel a contingent fuel to use if the primary fuel is not available, e.g., a reactor designated as using mixed oxide fuel (MOX) would have UOX as the contingent fuel. Another example is that a fast reactor using recycled transuranic (TRU) material can be designated as either having or not having appropriately enriched uranium oxide as a contingent fuel. Because of the need to study evolution in recycling and separation strategies, the user can now select the recycling strategy and separation technology, by year.

Jacob J. Jacobson; Robert F. Jeffers; Gretchen E. Matthern; Steven J. Piet; Wendell D. Hintze

2011-07-01T23:59:59.000Z

214

Cost-Effective Choices of Marine Fuels in a Carbon-Constrained World: Results from a Global Energy Model  

Science Journals Connector (OSTI)

Cost-Effective Choices of Marine Fuels in a Carbon-Constrained World: Results from a Global Energy Model ... † Department

Maria Taljegard; Selma Brynolf; Maria Grahn; Karin Andersson; Hannes Johnson

2014-10-06T23:59:59.000Z

215

A Comparison of HCCI Engine Performance Data and Kinetic Modeling Results over a Wide Rangeof Gasoline Range Surrogate Fuel Blends  

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

Kinetic models of fuels are needed to allow the simulation of engine performance for research, design, or verification purposes.

216

2D Axisymmetric Coupled CFD-kinetics Modeling of a Nonthermal Arc Plasma Torch for Diesel Fuel  

E-Print Network (OSTI)

-assisted diesel fuel reformer developed for two different applications: (i) onboard H2 production for fuel cell been also developed for different reforming reactors: solid oxide fuel cell (SOFC)7 , membrane reformer1 2D Axisymmetric Coupled CFD-kinetics Modeling of a Nonthermal Arc Plasma Torch for Diesel Fuel

Boyer, Edmond

217

Fuel quality issues in stationary fuel cell systems.  

SciTech Connect

Fuel cell systems are being deployed in stationary applications for the generation of electricity, heat, and hydrogen. These systems use a variety of fuel cell types, ranging from the low temperature polymer electrolyte fuel cell (PEFC) to the high temperature solid oxide fuel cell (SOFC). Depending on the application and location, these systems are being designed to operate on reformate or syngas produced from various fuels that include natural gas, biogas, coal gas, etc. All of these fuels contain species that can potentially damage the fuel cell anode or other unit operations and processes that precede the fuel cell stack. These detrimental effects include loss in performance or durability, and attenuating these effects requires additional components to reduce the impurity concentrations to tolerable levels, if not eliminate the impurity entirely. These impurity management components increase the complexity of the fuel cell system, and they add to the system's capital and operating costs (such as regeneration, replacement and disposal of spent material and maintenance). This project reviewed the public domain information available on the impurities encountered in stationary fuel cell systems, and the effects of the impurities on the fuel cells. A database has been set up that classifies the impurities, especially in renewable fuels, such as landfill gas and anaerobic digester gas. It documents the known deleterious effects on fuel cells, and the maximum allowable concentrations of select impurities suggested by manufacturers and researchers. The literature review helped to identify the impurity removal strategies that are available, and their effectiveness, capacity, and cost. A generic model of a stationary fuel-cell based power plant operating on digester and landfill gas has been developed; it includes a gas processing unit, followed by a fuel cell system. The model includes the key impurity removal steps to enable predictions of impurity breakthrough, component sizing, and utility needs. These data, along with process efficiency results from the model, were subsequently used to calculate the cost of electricity. Sensitivity analyses were conducted to correlate the concentrations of key impurities in the fuel gas feedstock to the cost of electricity.

Papadias, D.; Ahmed, S.; Kumar, R. (Chemical Sciences and Engineering Division)

2012-02-07T23:59:59.000Z

218

Hazel Capital | Open Energy Information  

Open Energy Info (EERE)

Hazel Capital Hazel Capital Jump to: navigation, search Name Hazel Capital Place London, England, United Kingdom Zip WC2A 1AL Sector Efficiency, Renewable Energy Product Hazel Capital is an asset management company investing in Renewable Energy, Energy Efficiency (in energy transmission, building construction, electronic and engineered products), Water, Transportation, Waste Management, Recycling & Pollution Control. References Hazel Capital[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Hazel Capital is a company located in London, England, United Kingdom . References ↑ "Hazel Capital" Retrieved from "http://en.openei.org/w/index.php?title=Hazel_Capital&oldid=346400

219

Capital indivisibility and economic efficiency  

Science Journals Connector (OSTI)

......i-r)T ) . (50) CAPITAL INDIVISIBILITY AND ECONOMIC...justifiable when paying off past expenditure, but, when applied to future expenditure, it leads to effectively...uncertainty about future capital investment, this weighting......

W. R. Hodgkins

2014-01-01T23:59:59.000Z

220

On the interaction between public and private capital in economic growth  

Science Journals Connector (OSTI)

This paper introduces two forms of interaction between private and public capital in an endogenous growth model in which productive government expenditure takes the form of a stock-variable and public capital is ...

Alberto Bucci; Chiara Del Bo

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels  

SciTech Connect

This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

Wang, M.Q.

1996-03-01T23:59:59.000Z

222

Microsoft Word - FE STRATEGIC HUMAN CAPITAL MGMT PLAN082006-AB.doc  

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

Strategic Human Capital Management Plan September 2006 OFFICE OF FOSSIL ENERGY GOAL The Office of Fossil Energy (FE) will insure the adequate, efficient, and environmentally sound production, storage, and use of fossil fuels to meet our Nation's energy needs. FE HUMAN RESOURCES VISION FE's human capital vision is to be an employer of choice with a diverse, well-trained, and motivated workforce that will excel. The FE Human Capital Management Plan (HCMP) describes our mission and objectives, vision, human capital strategies and implementing framework, as well as a number of ongoing and new initiatives. We are implementing an integrated human capital system that plans and executes FE-wide human capital activities. INTRODUCTION FE views its human capital resources as its most important asset. Without a highly qualified and

223

Model documentation: Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it related to the production of the 1994 Annual Energy Outlook (AEO94) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves two purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.

Not Available

1994-04-01T23:59:59.000Z

224

Analytical Models of a Polymer Electrolyte Fuel Cell  

Science Journals Connector (OSTI)

Fuel cells experience ageing. Proton current, flux of ... effects inevitably change the structure and composition of cell components, thus causing the degradation of cell performance. The phenomenon of cell agein...

A. A. Kulikovsky

2009-01-01T23:59:59.000Z

225

Modeling effects of vehicle specifications on fuel economy based on engine fuel consumption map and vehicle dynamics  

Science Journals Connector (OSTI)

Abstract The present study conducts a vehicle dynamic modeling of gasoline and diesel vehicles by using the AVL commercial program. 10 passenger vehicles were tested for 7 types of driving modes containing city, express and highway driving mode. The various vehicle data (specifications, fuel consumption map, gear shifting curve data, etc.) were collected and implemented as input data. The calculations were conducted with changing driving modes and vehicle types, and prediction accuracy of the calculation results were validated based on chassis dynamometer test data. In order to increase prediction accuracy for a wide vehicle operating range, some modifications regarding gear shifting was also conducted. From these processes, it is confirmed that the prediction accuracy of fuel efficiency and CO2 emissions shows a strong correlations with test results. After ensuring the accuracy of the calculation result, parametric studies were conducted to reveal correlations between vehicle specifications (e.g., vehicle weight and frontal area) on fuel efficiency and CO2 emissions and check which parameters were highly impact on fuel efficiency.

Yunjung Oh; Junhong Park; Jongtae Lee; Myung Do Eom; Sungwook Park

2014-01-01T23:59:59.000Z

226

Mathematical modeling for the performance and emission parameters of dual fuel diesel engine using hydrogen as secondary fuel  

Science Journals Connector (OSTI)

Abstract In this work, mathematical models were developed to correlate the brake thermal efficiency, un-burnt hydrocarbons, carbon monoxides and oxides of nitrogen by varying engine parameters like Load and Gaseous (H2) fuel substitution. The developed models can be used to predict the important performance and emission parameters for diesel-hydrogen operation in various combinations at different loads within the experimental domain. Response surface methodology (RSM) has been applied for developing the models using the techniques of design of experiments and multi linear regression analysis. General factorial design was used to plan the experiments. Second order response surface models were found to be the most suitable in the present work. Analysis of variance (ANOVA) of the experimental results at 95% confidence level revealed that the developed models are significant. Comparison of experimental output with those predicted by the developed models showed close proximity having high correlation coefficients R2 for the various response variables.

A.E. Dhole; R.B. Yarasu; D.B. Lata; S.S. Baraskar

2014-01-01T23:59:59.000Z

227

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

SciTech Connect

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

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

2010-05-01T23:59:59.000Z

228

Modeling the Pyrochemical Reduction of Spent UO2 Fuel in a Pilot-Scale Reactor  

SciTech Connect

A kinetic model has been derived for the reduction of oxide spent nuclear fuel in a radial flow reactor. In this reaction, lithium dissolved in molten LiCl reacts with UO2 and fission product oxides to form a porous, metallic product. As the reaction proceeds, the depth of the porous layer around the exterior of each fuel particle increases. The observed rate of reaction has been found to be only dependent upon the rate of diffusion of lithium across this layer, consistent with a classic shrinking core kinetic model. This shrinking core model has been extended to predict the behavior of a hypothetical, pilot-scale reactor for oxide reduction. The design of the pilot-scale reactor includes forced flow through baskets that contain the fuel particles. The results of the modeling indicate that this is an essential feature in order to minimize the time needed to achieve full conversion of the fuel.

Steven D. Herrmann; Michael F. Simpson

2006-08-01T23:59:59.000Z

229

Modeling and Control for PEM Fuel Cell Stack System I Jay T. Pukrushpan, Anna G. Stefanopoulou, Huei Peng  

E-Print Network (OSTI)

Modeling and Control for PEM Fuel Cell Stack System I Jay T. Pukrushpan, Anna G. Stefanopoulou~umich, edu, hpeng@umich, edu Abstract A nonlinear fuel cell system dynamic model that is suit- able, the reactant partial pres- sures. Characterization of the Fuel Cell polarization curves based on time varying

Peng, Huei

230

Dynamic Thermal Model of Polymer Electrolyte Membrane (PEM) Fuel Cell Budi Hadisujoto, Rehan Refai, Dongmei Chen, Tess J. Moon  

E-Print Network (OSTI)

Dynamic Thermal Model of Polymer Electrolyte Membrane (PEM) Fuel Cell Budi Hadisujoto, Rehan Refai to improve the performance of a PEM fuel cell Simulation Results Advanced Power Systems and Controls (GDL) to reduce water saturation · Model water transport in PEM fuel cell Contribution: · Dynamic

Ben-Yakar, Adela

231

Journal of Power Sources 162 (2006) 388399 Model-based condition monitoring of PEM fuel cell using  

E-Print Network (OSTI)

Journal of Power Sources 162 (2006) 388­399 Model-based condition monitoring of PEM fuel cell using of polymer electrolyte membrane (PEM) fuel cell systems, temporary faults in such systems still might occur/uncertainty of the fuel cell system, and the measurement noise. In this research, we propose a model-based condition

Ding, Yu

232

Fuel performance models for high-temperature gas-cooled reactor core design  

SciTech Connect

Mechanistic fuel performance models are used in high-temperature gas-cooled reactor core design and licensing to predict failure and fission product release. Fuel particles manufactured with defective or missing SiC, IPyC, or fuel dispersion in the buffer fail at a level of less than 5 x 10/sup -4/ fraction. These failed particles primarily release metallic fission products because the OPyC remains intact on 90% of the particles and retains gaseous isotopes. The predicted failure of particles using performance models appears to be conservative relative to operating reactor experience.

Stansfield, O.M.; Simon, W.A.; Baxter, A.M.

1983-09-01T23:59:59.000Z

233

Chemically authentic surrogate mixture model for the thermophysical properties of a coal-derived liquid fuel  

SciTech Connect

We developed a surrogate mixture model to represent the physical properties of a coal-derived liquid fuel using only information obtained from a gas chromatography-mass spectrometry analysis of the fuel and a recently developed 'advanced distillation curve'. We then predicted the density, speed of sound, and viscosity of the fuel and compared them to limited experimental data. The surrogate contains five components (n-propylcyclohexane, trans-decalin, {alpha}-methyldecalin, bicyclohexane, and n-hexadecane), yet comparisons to limited experimental data demonstrate that the model is able to represent the density, sound speed, and viscosity to within 1, 4, and 5%, respectively. 102 refs., 2 figs., 5 tabs.

M.L. Huber; E.W. Lemmon; V. Diky; B.L. Smith; T.J. Bruno [National Institute of Standards and Technology (NIST), Boulder, CO (United States). Physical and Chemical Properties Division

2008-09-15T23:59:59.000Z

234

IT Capital Planning  

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

IT Capital Planning IT Capital Planning and Architecture Division (IM-21) Carol Blackston, Director (Acting) IM Organization Structure (as of 1/13/2014) Chief Information Officer (IM-1) Robert Brese Deputy Chief Information Officer Donald Adcock Associate CIO for Cyber Security (IM-30) Paul Cunningham (Acting) Corporate IT Project Management Office (IM-40) Frank Husson, Director Associate CIO for IT Planning, Architecture, and E-Government (IM-20) Russell Pereira (Acting) Associate CIO for Technology Evaluation and Chief Technology Officer (IM-50) Peter Tseronis Associate CIO for IT Corporate Management (IM-10) Sarah Gamage Associate CIO for Energy IT Services (IM-60) Virginia Arreguin Deputy Associate CIO for Cyber Security Paul Cunningham Deputy Associate CIO for Energy IT Services Steve Cox (Acting)

235

Stress Testing Projected Capitalized Farmland Values  

E-Print Network (OSTI)

that current year real cash rent can be best explained by current year real net farm income, lagged real net farm income over a period of years, and real cash rent in the previous year. A spreadsheet simulation model is used to project capitalized farmland...

Gao, Bo 1988-

2012-11-12T23:59:59.000Z

236

Benchmarking of the MIT High Temperature Gas-cooled Reactor TRISO-coated particle fuel performance model  

E-Print Network (OSTI)

MIT has developed a Coated Particle Fuel Performance Model to study the behavior of TRISO nuclear fuels. The code, TIMCOAT, is designed to assess the mechanical and chemical condition of populations of coated particles and ...

Stawicki, Michael A

2006-01-01T23:59:59.000Z

237

A validated dynamic model of the first marine molten carbonate fuel cell  

Science Journals Connector (OSTI)

In this work we present a modular, dynamic and multi-dimensional model of a molten carbonate fuel cell (MCFC) onboard the offshore supply vessel “Viking Lady” serving as an auxiliary power unit. The model is able to capture detailed thermodynamic, heat transfer and electrochemical reaction phenomena within the fuel cell layers. The model has been calibrated and validated with measured performance data from a prototype installation onboard the vessel. The model is able to capture detailed thermodynamic, heat transfer and electrochemical reaction phenomena within the fuel cell layers. The model has been calibrated and validated with measured performance data from a prototype installation onboard the offshore supply vessel. The calibration process included parameter identification, sensitivity analysis to identify the critical model parameters, and iterative calibration of these to minimize the overall prediction error. The calibrated model has a low prediction error of 4% for the operating range of the cell, exhibiting at the same time a physically sound qualitative behavior in terms of thermodynamic heat transfer and electrochemical phenomena, both on steady-state and transient operation. The developed model is suitable for a wide range of studies covering the aspects of thermal efficiency, performance, operability, safety and endurance/degradation, which are necessary to introduce fuel cells in ships. The aim of this MCFC model is to aid to the introduction, design, concept approval and verification of environmentally friendly marine applications such as fuel cells, in a cost-effective, fast and safe manner.

E. Ovrum; G. Dimopoulos

2012-01-01T23:59:59.000Z

238

Fuel Cell Distributed Power Package Unit: Fuel Processing Based On  

E-Print Network (OSTI)

Gas or Biogas or Biomass derived Pyrolysis oil In-situ heat generation on catalyst lowers capital cost is burnt off during regenerationDiesel, NG, Propane, Biogas, Biomass Pyrolysis Oil Fuel Flexibility ·In

239

A predictive model for the combustion process in dual fuel engines  

SciTech Connect

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

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

1995-12-31T23:59:59.000Z

240

Modeling Studies of a Cylindrical Polymer Electrolyte Membrane Fuel Cell Cathode  

Science Journals Connector (OSTI)

The cathode catalyst layer is modeled using spherical agglomerate characterization. ... (16-19) In the present work, we have developed a two-dimensional (2-D) steady-state model of a cylindrical PEMFC cathode under air-breathing and pressurized conditions. ... We adopt an agglomerate catalyst layer model and recast it into a compact form for optimization of polymer electrolyte fuel cell cathodes. ...

Srinivasarao Modekurti; Brian Bullecks; Debangsu Bhattacharyya; Raghunathan Rengaswamy

2012-03-12T23:59:59.000Z

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


241

A model for waterside oxidation of zircaloy fuel cladding in pressurized water reactors  

SciTech Connect

A model is developed to simulate the oxidation of zircaloy fuel rod cladding exposed to pressurized water reactor operating conditions. The model is used to predict the oxidation rate for both ex- and in-reactor conditions in terms of the weight gain and oxide thickness. Comparisons of the model predictions with experimental data show very good agreement.

Amarshad, A.I.A. [Institute of Atomic Energy Research, Riyadh (Saudi Arabia); Klein, A.C. [Oregon State Univ., Corvallis, OR (United States)

1992-12-31T23:59:59.000Z

242

Cathode porous transport irreversibility model for PEM fuel cell design  

Science Journals Connector (OSTI)

The influence is studied of slip-irreversibility at the interface between the gas diffusion layer, also referred to here as the porous transport layer, and the catalyst layer of a proton exchange membrane fuel cell (PEMFC). A two-dimensional cathode ... Keywords: catalyst layer, exergy, gas diffusion layer, slip flow irreversibility

E. O. B. Ogedengbe; M. A. Rosen

2009-02-01T23:59:59.000Z

243

Modelling and control strategy development for fuel cell electric vehicles  

E-Print Network (OSTI)

and applied to the energy management of this FCEV, which allow fuel economy optimisation while keeping a good storage. It is essential for advanced vehicles to obtain a range comparable to that of mass production and maximize the energy stored onboard a vehicle. A stochastic dynamic programming algorithm was developed

Peng, Huei

244

Electric power substation capital costs  

SciTech Connect

The displacement or deferral of substation equipment is a key benefit associated with several technologies that are being developed with the support of the US Department of Energy`s Office of Utility Technologies. This could occur, for example, as a result of installing a distributed generating resource within an electricity distribution system. The objective of this study was to develop a model for preparing preliminary estimates of substation capital costs based on rudimentary conceptual design information. The model is intended to be used by energy systems analysts who need ``ballpark`` substation cost estimates to help establish the value of advanced utility technologies that result in the deferral or displacement of substation equipment. This cost-estimating model requires only minimal inputs. More detailed cost-estimating approaches are recommended when more detailed design information is available. The model was developed by collecting and evaluating approximately 20 sets of substation design and cost data from about 10 US sources, including federal power marketing agencies and private and public electric utilities. The model is principally based on data provided by one of these sources. Estimates prepared with the model were compared with estimated and actual costs for the data sets received from the other utilities. In general, good agreement (for conceptual level estimating) was found between estimates prepared with the cost-estimating model and those prepared by the individual utilities. Thus, the model was judged to be adequate for making preliminary estimates of typical substation costs for US utilities.

Dagle, J.E.; Brown, D.R.

1997-12-01T23:59:59.000Z

245

Modeling and Analysis of UN TRISO Fuel for LWR Application Using the PARFUME Code  

SciTech Connect

The Idaho National Laboraroty (INL) PARFUME (particle fuel model) code was used to assess the overall fuel performance of uranium nitride (UN) tristructural isotropic (TRISO) ceramic fuel under irradiation conditions typical of a Light Water Reactor (LWR). The dimensional changes of the fuel particle layers and kernel were calculated, including the formation of an internal gap. The survivability of the UN TRISO particle was estimated depending on the strain behavior of the constituent materials at high fast fluence and burn up. For nominal cases, internal gas pressure and representative thermal profiles across the kernel and layers were determined along with stress levels in the inner and outer pyrolytic carbon (IPyC/OPyC) and silicon carbide (SiC) layers. These parameters were then used to evaluate fuel particle failure probabilities. Results of the study show that the survivability of UN TRISO fuel under LWR irradiation conditions might only be guaranteed if the kernel and PyC swelling rates are limited at high fast fluence and burn up. These material properties have large uncertainties at the irradiation levels expected to be reached by UN TRISO fuel in LWRs. Therefore, a large experimental effort would be needed to establish material properties, including kernel and PyC swelling rates, under these conditions before definitive conclusions can be drawn on the behavior of UN TRISO fuel in LWRs.

Blaise Collin

2014-08-01T23:59:59.000Z

246

Report: EM Human Capital Initiatives  

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

HUMAN CAPITAL HUMAN CAPITAL September 25, 2008 Submitted by the EMAB Human Capital Subcommittee Background: The enhancement of the Office of Environmental Management's (EM) human capital has been a central tenet of the Assistant Secretary's tenure, reflecting the critical nature of this resource to the achievement of EM's mission. Beginning in Fiscal Year (FY) 2006, the Environmental Management Advisory Board (EMAB or Board) has reviewed the program's human capital issues and the plans EM has developed to address them. This review produced a number of recommendations that were presented in the Board's FY 2006 report to the Assistant Secretary and were later approved and implemented to varying degrees. * Recommendation 2006-01: Develop accountability for the Human Capital Plan

247

Principal Associate Director - Capital Projects  

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

Principal Associate Director - Capital Projects Principal Associate Director - Capital Projects As Principal Associate Director for Capital Projects, Henry is responsible for institutional large-project construction and management and environmental cleanup functions. Contact Operator Los Alamos National Laboratory (505) 667-5061 Before coming to the Lab in 2011, he served as manager of the $3.2 billion project to safely destroy the stockpile of deadly mustard chemical agent at the Pueblo Chemical Depot in Colorado. Paul Henry Principal Associate Director for Capital Projects Paul Henry, Principal Associate Director for Capital Projects As Principal Associate Director for Capital Projects, Henry is responsible for institutional large-project construction and management and environmental cleanup functions.

248

Capital budgeting practices in hospitals  

Science Journals Connector (OSTI)

We interviewed chief financial officers from hospitals and healthcare systems in Michigan regarding selected capital budgeting practices that have not been previously considered in the literature. Results revealed a variety of approaches in the development and deployment of capital budgets. Most healthcare systems used a blend of board and department-initiated input into budget development, usually with interaction between the two. The majority of healthcare systems had flexibility in the deployment of their capital budgets over time. Standard methods of project evaluation were employed by healthcare CFOs, but few used the most sophisticated tools. A host of constraints, including certificate-of-need laws and internal, mission-based motivations uniquely affect capital budgeting of not-for-profit healthcare systems. Clearly, future research will be need to understand why organisations have selected capital budgeting practices and the extent to which selection and use of capital budgeting practices matters in the efficiency and viability of healthcare systems.

Dean G. Smith; Joshua Wynne

2006-01-01T23:59:59.000Z

249

EIA - The National Energy Modeling System: An Overview 2003-Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuelsl Module Renewable Fuelsl Module The National Energy Modeling System: An Overview 2003 Renewable Fuels Module Figure 11. Renewable Fuels Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Renewable Fuels Module Table. Need help, contact the National Energy Information Center at 202-586-8800. The renewable fuels module (RFM) represents renewable energy resoures and large–scale technologies used for grid-connected U.S. electricity supply (Figure 11). Since most renewables (biomass, conventional hydroelectricity, geothermal, landfill gas, solar photovoltaics, solar thermal, and wind) are used to generate electricity, the RFM primarily interacts with the electricity market module (EMM). New renewable energy generating capacity is either model–determined or

250

Development and validation of a two-phase, three-dimensional model for PEM fuel cells.  

SciTech Connect

The objectives of this presentation are: (1) To develop and validate a two-phase, three-dimensional transport modelfor simulating PEM fuel cell performance under a wide range of operating conditions; (2) To apply the validated PEM fuel cell model to improve fundamental understanding of key phenomena involved and to identify rate-limiting steps and develop recommendations for improvements so as to accelerate the commercialization of fuel cell technology; (3) The validated PEMFC model can be employed to improve and optimize PEM fuel cell operation. Consequently, the project helps: (i) address the technical barriers on performance, cost, and durability; and (ii) achieve DOE's near-term technical targets on performance, cost, and durability in automotive and stationary applications.

Chen, Ken Shuang

2010-04-01T23:59:59.000Z

251

Waste generation process modeling and analysis for fuel reprocessing technologies  

SciTech Connect

Estimates of electric power generation requirements for the next century, even when taking the most conservative tack, indicate that the United States will have to increase its production capacity significantly. If the country determines that nuclear power will not be a significant component of this production capacity, the nuclear industry will have to die, as maintaining a small nuclear component will not be justifiable. However, if nuclear power is to be a significant component, it will probably require some form of reprocessing technology. The once-through fuel cycle is only feasible for a relatively small number of nuclear power plants. If we are maintaining several hundred reactors, the once-through fuel cycle is more expensive and ethically questionable.

Kornreich, D. E. (Drew E.); Koehler, A. C. (Andrew C.); Farman, Richard F.

2002-01-01T23:59:59.000Z

252

Where do fossil fuel carbon dioxide emissions from California go? An analysis based on radiocarbon observations and an atmospheric transport model  

E-Print Network (OSTI)

fossil fuel combustion, with consequent impacts to human health [health. Model predictions indicated that some areas within California had higher near-surface fossil fuel

Riley, W.J.

2008-01-01T23:59:59.000Z

253

QGESS: Capital Cost Scaling Methodology  

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

(costs and values of inputs, outputs, and processes, including capital and operating costs) and performance (mass conversion, energy efficiency, and, generally speaking,...

254

THETRIS: A MICRO-SCALE TEMPERATURE AND GAS RELEASE MODEL FOR TRISO FUEL  

SciTech Connect

The dominating mechanism in the passive safety of gas-cooled, graphite-moderated, high-temperature reactors (HTRs) is the Doppler feedback effect. These reactor designs are fueled with sub-millimeter sized kernels formed into TRISO particles that are imbedded in a graphite matrix. The best spatial and temporal representation of the feedback effect is obtained from an accurate approximation of the fuel temperature. Most accident scenarios in HTRs are characterized by large time constants and slow changes in the fuel and moderator temperature fields. In these situations a meso-scale, pebble and compact scale, solution provides a good approximation of the fuel temperature. Micro-scale models are necessary in order to obtain accurate predictions in faster transients or when parameters internal to the TRISO are needed. Since these coated particles constitute one of the fundamental design barriers for the release of fission products, it becomes important to understand the transient behavior inside this containment system. An explicit TRISO fuel temperature model named THETRIS has been developed and incorporated into the CYNOD-THERMIX-KONVEK suite of coupled codes. The code includes gas release models that provide a simple predictive capability of the internal pressure during transients. The new model yields similar results to those obtained with other micro-scale fuel models, but with the added capability to analyze gas release, internal pressure buildup, and effects of a gap in the TRISO. The analyses show the instances when the micro-scale models improve the predictions of the fuel temperature and Doppler feedback. In addition, a sensitivity study of the potential effects on the transient behavior of high-temperature reactors due to the presence of a gap is included. Although the formation of a gap occurs under special conditions, its consequences on the dynamic behavior of the reactor can cause unexpected responses during fast transients. Nevertheless, the strong Doppler feedback forces the reactor to quickly stabilize.

J. Ortensi; A.M. Ougouag

2011-12-01T23:59:59.000Z

255

A Two-Phase Pressure Drop Model Incorporating Local Water Balance and Reactant Consumption in PEM Fuel Cell Gas Channels  

E-Print Network (OSTI)

), and directly affects cost and sizing of fuel cell subsystems. Within several regions of PEMFC operating Fuel Cell Gas Channels E. J. See and S. G. Kandlikar Department of Mechanical Engineering, Rochester in proton exchange membrane fuel cells (PEMFCs). The ability to model two-phase flow and pressure drop

Kandlikar, Satish

256

A single-phase, non-isothermal model for PEM fuel cells Hyunchul Ju, Hua Meng, Chao-Yang Wang *  

E-Print Network (OSTI)

A single-phase, non-isothermal model for PEM fuel cells Hyunchul Ju, Hua Meng, Chao-Yang Wang October 2004 Available online 8 December 2004 Abstract A proton exchange membrane (PEM) fuel cell produces a comprehensive study of thermal and water management in PEM fuel cells. Numerical simulations reveal

257

Combustion Phasing Model for Control of a Gasoline-Ethanol Fueled SI Engine with Variable Valve Timing  

E-Print Network (OSTI)

Combustion Phasing Model for Control of a Gasoline-Ethanol Fueled SI Engine with Variable Valve engine efficiency. Fuel-flexible engines permit the increased use of ethanol-gasoline blends. Ethanol points across the engine operating range for four blends of gasoline and ethanol. I. INTRODUCTION Fuel

258

A two-component heavy fuel oil evaporation model for CFD studies in marine Diesel engines  

Science Journals Connector (OSTI)

Abstract The paper presents an evaporation model for Heavy Fuel Oil (HFO) combustion studies. In the present work, HFO is considered as a mixture of a heavy and a light fuel component, with the thermophysical properties of the heavy component calculated from the recently introduced model of Kyriakides et al. (2009) [1]. The model proposes a proper treatment of convective heat transfer to the evaporating fuel droplets. Computational Fluid Dynamics (CFD) simulations of HFO spray combustion in constant volume chambers are performed, utilizing a modified characteristic time combustion model. The results are in good agreement with literature experimental data. Computational results for a two-stroke marine Diesel engine also compare favorably against experiments. The present development yields a basis for detailed CFD studies of HFO combustion in large marine Diesel engines.

Nikolaos Stamoudis; Christos Chryssakis; Lambros Kaiktsis

2014-01-01T23:59:59.000Z

259

A fuel consumption model for off-road use of mobile machinery in agriculture  

Science Journals Connector (OSTI)

Abstract Until 2009, the annual reporting of emissions by off-road transport in agriculture in Belgium was based on a 1994 calculation model that needed to be updated. An energy consumption model was established for plant production in Belgium as a backbone for a new emission model. The model starts from agricultural activities involving off-road fuel consumption. Effects of soil type, tractor size, field size and machine load are modelled. Twenty-seven \\{FCIs\\} (fuel consumption indicators) were computed for plant production. \\{FCIs\\} are expressed per year and are used for emission estimates on a regional level. \\{FCIs\\} ranged from 37 to 311 L/ha. Sensitivity analysis showed the highest impact of tractor size with a surplus fuel consumption between 10 and 41% depending on the crop type. Fuel consumption (L) can be further processed into greenhouse gas emissions. \\{FCIs\\} can be adopted in LCA (life cycle assessment) studies. With ?310 L/ha, orchards are most fuel intensive, followed by field vegetables and sugar beets (?150 L/ha). The total off-road energy consumption of field vegetables is high because second cropping is a common practice.

Veerle Van linden; Lieve Herman

2014-01-01T23:59:59.000Z

260

Experimental and Modeling Study of the Flammability of Fuel Tank Headspace Vapors from Ethanol/Gasoline Fuels, Phase 2: Evaluations of Field Samples and Laboratory Blends  

SciTech Connect

Study to measure the flammability of gasoline/ethanol fuel vapors at low ambient temperatures and develop a mathematical model to predict temperatures at which flammable vapors were likely to form.

Gardiner, D. P.; Bardon, M. F.; LaViolette, M.

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Fuel Modelling at Extended Burnup: IAEA Coordinated Research Project FUMEX-II  

SciTech Connect

The International Atomic Energy Agency sponsored a Coordinated Research Project on Fuel Modelling at Extended Burnup (FUMEX-II). Eighteen fuel modelling groups participated with the intention of improving their capabilities to understand and predict the behaviour of water reactor fuel at high burnups. The exercise was carried out in coordination with the OECD/NEA. The participants used a mixture of data derived from actual irradiation histories of high burnup experimental fuel and commercial irradiations where post-irradiation examination measurements are available, combined with idealised power histories intended to represent possible future extended dwell commercial irradiations and test code capabilities at high burnup. All participants have been asked to model nine priority cases out of some 27 cases made available to them for the exercise from the IAEA/OECD International Fuel Performance Experimental Database. Calculations carried out by the participants, particularly for the idealised cases, have shown how varying modelling assumptions affect the high burnup predictions, and have led to an understanding of the requirements of future high burnup experimental data to help discriminate between modelling assumptions. This understanding is important in trying to model transient and fault behaviour at high burnup. It is important to recognise that the code predictions presented here should not be taken to indicate that some codes do not perform well. The codes have been designed for different applications and have differing assumptions and validation ranges; for example codes intended to predict Candu fuel operation with thin wall collapsible cladding do not need the clad creep and gap conductivity modelling found in PWR codes. Therefore, when a case is based on Candu technology or PWR technology, it is to be expected that the codes may not agree. However, it is the very differences in such behaviour that is useful in helping to understand the effects of such internal modelling. (authors)

Killeen, J.C. [International Atomic Energy Agency, Wagramerstrasse 5, PO Box 100, A-1400 Vienna (Austria); Turnbull, J.A. [Cherry-Lyn, Tockington, South Glos (United Kingdom); Sartori, E. [OECD/NEA, 12 Bd des Iles, 92130 Issy-les-Moulineaux (France)

2007-07-01T23:59:59.000Z

262

Modeling Clean and Secure Energy Scenarios for the Indian Power Sector in 2030  

E-Print Network (OSTI)

Fuel Coal Natural Gas Diesel Hydro Nuclear Capital cost (natural gas in 2008 (BP, 2010). China’s switch These reductions in capital

Abhyankara, Nikit

2014-01-01T23:59:59.000Z

263

A Study on Heat Transfer Model in Sparse Zone of Oxy-Fuel Fired CFB  

Science Journals Connector (OSTI)

A model has been developed to calculate the coefficient heat transfer in sparse zone of oxy-fuel fired circulating fluidized bed boiler (CFBB). The model shows that the convective heat transfer coefficient is enhanced with increase in CO2 density, bed ...

Chunbo Wang; Weijun Hou; Wei Zhang; Guang Lu; Zhihong Huo; Jiao Zhang

2009-10-01T23:59:59.000Z

264

Sustainable Investments Capital SI Capital | Open Energy Information  

Open Energy Info (EERE)

SI Capital SI Capital Jump to: navigation, search Name Sustainable Investments Capital (SI Capital) Place Barcelona, Spain Zip 8021 Sector Renewable Energy, Services Product SI Capital is an independent financial institution set up to develop investment products and services for renewable energy and other sustainable projects. Coordinates 41.385589°, 2.168745° 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":41.385589,"lon":2.168745,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

265

Where do fossil fuel carbon dioxide emissions from California go? An analysis based on radiocarbon observations and an atmospheric transport model  

E-Print Network (OSTI)

ET AL. : FOSSIL FUEL CO 2 TRANSPORT IN CALIFORNIA health,fossil fuel combustion, with consequent impacts to human health [health. [ 45 ] Model predictions indicated that some areas within California had higher near-surface fossil fuel

2008-01-01T23:59:59.000Z

266

Multidisciplinary Modeling, Control, and Optimization of a Solid Oxide Fuel Cell/Gas Turbine Hybrid Power System.  

E-Print Network (OSTI)

??This thesis describes a systematical study, including multidisciplinary modeling, simulation, control, and optimization, of a fuel cell - gas turbine hybrid power system that aims… (more)

Abbassi Baharanchi, Atid

2009-01-01T23:59:59.000Z

267

Modeling a Proton Exchange Membrane Fuel Cell using Non-Equilibrium Thermodynamics: A Second Law analysis of assumptions and parameters:.  

E-Print Network (OSTI)

??In this work, a model derived from Non-Equilibrium Thermodynamics, for the Proton Exchange Membrane Fuel Cell, was utilized in order to explore the effect of… (more)

Garcia Navarro, J.C.

2014-01-01T23:59:59.000Z

268

Market power, fuel substitution and infrastructure – A large-scale equilibrium model of global energy markets  

Science Journals Connector (OSTI)

Abstract Assessing and quantifying the impacts of technological, economic, and policy shifts in the global energy system require large-scale numerical models. We propose a dynamic multi-fuel market equilibrium model that combines endogenous fuel substitution within demand sectors and in power generation, detailed infrastructure capacity constraints and investment, as well as strategic behaviour and market power aspects by suppliers in a unified framework. This model is the first of its kind in which market power is exerted across several fuels. Using a data set based on the IEA (International Energy Agency) World Energy Outlook 2013 (New Policies scenario, time horizon 2010–2050, 30 regions, 10 fuels), we illustrate the functionality of the model in two scenarios: a reduction of shale gas availability in the US relative to current projections leads to an even stronger increase of power generation from natural gas in the European Union relative to the base case; this is due to a shift in global fossil fuel trade. In the second scenario, a tightening of the EU ETS emission cap by 80% in 2050 combined with a stronger biofuel mandate spawns a renaissance of nuclear power after 2030 and a strong electrification of the transportation sector. We observe carbon leakage rates from the unilateral mitigation effort of 60–70%.

Daniel Huppmann; Ruud Egging

2014-01-01T23:59:59.000Z

269

PURDUE EXTENSION Capital Investment Analysis  

E-Print Network (OSTI)

PURDUE EXTENSION EC-731 Capital Investment Analysis and Project Assessment Michael Boehlje and Cole Ehmke Department of Agricultural Economics Audience: Business managers facing a capital investment present value of a project and determine if the investment will generate enough cash to make debt payments

270

FOREIGN INVESTMENT: Private Capital Welcome  

Science Journals Connector (OSTI)

FOREIGN INVESTMENT: Private Capital Welcome ... The recent proposal by a business advisory council for a federally chartered corporation to spur private capital investment in developing countries " . . . ... The proposed corporation, urged in a report to the Agency for International Development, would take over and expand the investment guaranty and financing programs administered by AID's Office of Private Resources. ...

1969-01-06T23:59:59.000Z

271

Human Capital Management Accountability Program  

Directives, Delegations, and Requirements

The Order establishes requirements, roles and responsibilities for the Human Capital Management Accountability Program (HCMAP) for human resources programs and personnel and ensures that human capital activities are regulatory and procedurally compliant with Federal statutes and Departmental policies. Does not cancel other directives.

2008-08-01T23:59:59.000Z

272

Summary of "Materials Modeling and Simulations for Nuclear Fuels"  

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

Summary of "Materials Modeling and Simulations for Nuclear Fuels" Summary of "Materials Modeling and Simulations for Nuclear Fuels" (MMSNF 2013) workshop Director's Welcome Organization Achievements Highlights Fact Sheets, Brochures & Other Documents Multimedia Library About Nuclear Energy Nuclear Reactors Designed by Argonne Argonne's Nuclear Science and Technology Legacy Opportunities within NE Division Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Highlights Bookmark and Share "Materials Modeling and Simulations for Nuclear Fuels" (MMSNF 2013) workshop Workshop Summary Presentation during MMSNF Workshop in Chicago

273

CAPITAL INVESTMENT: CPI Spending Slacks Off  

Science Journals Connector (OSTI)

CAPITAL INVESTMENT: CPI Spending Slacks Off ... The latest quarterly capital investment survey by the National Industrial Conference Board puts unspent chemical industry capital appropriations at their lowest level since the end of 1964. ...

1968-09-09T23:59:59.000Z

274

CAPITAL PROGRAMMING GUIDE (PART 7)  

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

CAPITAL PROGRAMMING GUIDE CAPITAL PROGRAMMING GUIDE V 2.0 SUPPLEMENT TO OFFICE OF MANAGEMENT AND BUDGET CIRCULAR A-11, PART 7: PLANNING, BUDGETING, AND ACQUISITION OF CAPITAL ASSETS JUNE 2006 CAPITAL PROGRAMMING GUIDE LIST OF ABBREVIATIONS LIST OF ABBREVIATIONS ACP Agency Capital Plan CI Commercial Items COTS Commercial-off-the-shelf ESPC Energy Savings Performance Contract EVM Earned Value Management FAR Federal Acquisition Regulation FARA Federal Acquisition Reform Act (Clinger-Cohen Act) of 1996 1 (Division D of Pub. L. No. 104-106) FASA Federal Acquisition Streamlining Act of 1994 (Pub. L. No. 103-355) FRPC Federal Real Property Council GAO Government Accountability Office GPRA Government Performance and Results Act of 1993 (Pub. L. No. 103-62)

275

Yellowstone Capital | Open Energy Information  

Open Energy Info (EERE)

Yellowstone Capital Yellowstone Capital Jump to: navigation, search Logo: Yellowstone Capital Name Yellowstone Capital Address 5555 San Felipe, Suite 1650 Place Houston, Texas Zip 77056 Region Texas Area Product Private equity and venture capital investment firm Phone number (713) 650-0065 Website http://www.yellowstonecapital. Coordinates 29.749479°, -95.471973° 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":29.749479,"lon":-95.471973,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

276

BEV Capital | Open Energy Information  

Open Energy Info (EERE)

BEV Capital BEV Capital Jump to: navigation, search Logo: BEV Capital Name BEV Capital Address 263 Tresser Blvd., 9th Floor Place Stamford, Connecticut Zip 06901 Region Northeast - NY NJ CT PA Area Product Venture capital firm. Phone number (203) 724-1100 Website http://www.bevcapital.com/ Coordinates 41.0518165°, -73.535274° 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":41.0518165,"lon":-73.535274,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

277

Commons Capital | Open Energy Information  

Open Energy Info (EERE)

Commons Capital Commons Capital Jump to: navigation, search Logo: Commons Capital Name Commons Capital Address 320 Washington Street, 4th floor Place Brookline, Massachusetts Zip 02445 Region Greater Boston Area Product Early-stage venture capital fund. Phone number (617) 739-3500 Website http://www.commonscapital.com/ Coordinates 42.3333887°, -71.1201943° 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":42.3333887,"lon":-71.1201943,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

278

Regional refining models for alternative fuels using shale and coal synthetic crudes: identification and evaluation of optimized alternative fuels. Annual report, March 20, 1979-March 19, 1980  

SciTech Connect

The initial phase has been completed in the project to evaluate alternative fuels for highway transportation from synthetic crudes. Three refinery models were developed for Rocky Mountain, Mid-Continent and Great Lakes regions to make future product volumes and qualities forecast for 1995. Projected quantities of shale oil and coal oil syncrudes were introduced into the raw materials slate. Product slate was then varied from conventional products to evaluate maximum diesel fuel and broadcut fuel in all regions. Gasoline supplement options were evaluated in one region for 10% each of methanol, ethanol, MTBE or synthetic naphtha in the blends along with syncrude components. Compositions and qualities of the fuels were determined for the variation in constraints and conditions established for the study. Effects on raw materials, energy consumption and investment costs were reported. Results provide the basis to formulate fuels for laboratory and engine evaluation in future phases of the project.

Sefer, N.R.; Russell, J.A.

1980-11-01T23:59:59.000Z

279

Modeling Water Management in Polymer-Electrolyte Fuel Cells  

SciTech Connect

Fuel cells may become the energy-delivery devices of the 21st century with realization of a carbon-neutral energy economy. Although there are many types of fuel cells, polymerelectrolyte fuel cells (PEFCs) are receiving the most attention for automotive and small stationary applications. In a PEFC, hydrogen and oxygen are combined electrochemically to produce water, electricity, and waste heat. During the operation of a PEFC, many interrelated and complex phenomena occur. These processes include mass and heat transfer, electrochemical reactions, and ionic and electronic transport. Most of these processes occur in the through-plane direction in what we term the PEFC sandwich as shown in Figure 1. This sandwich comprises multiple layers including diffusion media that can be composite structures containing a macroporous gas-diffusion layer (GDL) and microporous layer (MPL), catalyst layers (CLs), flow fields or bipolar plates, and a membrane. During operation fuel is fed into the anode flow field, moves through the diffusion medium, and reacts electrochemically at the anode CL to form hydrogen ions and electrons. The oxidant, usually oxygen in air, is fed into the cathode flow field, moves through the diffusion medium, and is electrochemically reduced at the cathode CL by combination with the generated protons and electrons. The water, either liquid or vapor, produced by the reduction of oxygen at the cathode exits the PEFC through either the cathode or anode flow field. The electrons generated at the anode pass through an external circuit and may be used to perform work before they are consumed at the cathode. The performance of a PEFC is most often reported in the form of a polarization curve, as shown in Figure 2. Roughly speaking, the polarization curve can be broken down into various regions. First, it should be noted that the equilibrium potential differs from the open-circuit voltage due mainly to hydrogen crossover through the membrane (i.e., a mixed potential on the cathode) and the resulting effects of the kinetic reactions. Next, at low currents, the behavior of a PEFC is dominated by kinetic losses. These losses mainly stem from the high overpotential of the oxygen-reduction reaction (ORR). As the current is increased, ohmic losses become a factor in lowering the overall cell potential. These ohmic losses are mainly from ionic losses in the electrodes and separator. At high currents, mass-transport limitations become increasingly important. These losses are due to reactants not being able to reach the electrocatalytic sites. Key among the issues facing PEFCs today is water management. Due to their low operating temperature (< 100 C), water exists in both liquid and vapor phases. Furthermore, state-of-the-art membranes require the use of water to provide high conductivity and fast proton transport. Thus, there is a tradeoff between having enough water for proton conduction (ohmic losses), but not too much or else the buildup of liquid water will cause a situation in which the reactant-gas-transport pathways are flooded (mass-transfer limitations). Figure 3 displays experimental evidence of the effects of water management on performance. In Figure 3(a), a neutron image of water content displays flooding near the outlet of the cell due to accumulation of liquid water and a decrease in the gas flowrates. The serpentine flow field is clearly visible with the water mainly underneath the ribs. Figure 3(b) shows polarization performance at 0.4 and 0.8 V and high-frequency resistance at 0.8 V as a function of cathode humidification temperature. At low current densities, as the inlet air becomes more humid, the membrane resistance decreases, and the performance increases. At higher current densities, the same effect occurs; however, the higher temperatures and more humid air also results in a lower inlet oxygen partial pressure.

Department of Chemical Engineering, University of California, Berkeley; Weber, Adam; Weber, Adam Z.; Balliet, Ryan; Gunterman, Haluna P.; Newman, John

2007-09-07T23:59:59.000Z

280

Blue Green Capital | Open Energy Information  

Open Energy Info (EERE)

Green Capital Jump to: navigation, search Name: Blue Green Capital Place: Spain Zip: 8860 Sector: Renewable Energy, Solar Product: String representation "Spanish develop ... their...

Note: This page contains sample records for the topic "fuels model capital" 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

Digital Power Capital LLC | Open Energy Information  

Open Energy Info (EERE)

Power Capital LLC Jump to: navigation, search Name: Digital Power Capital LLC Place: Greenwich, Connecticut Zip: 6830 Product: A private equity firm focused on new technologies...

282

Experimental and Modeling Study of the Flammability of Fuel Tank Headspace Vapors from High Ethanol Content Fuels  

SciTech Connect

Study determined the flammability of fuel tank headspace vapors as a function of ambient temperature for seven E85 fuel blends, two types of gasoline, and denatured ethanol at a low tank fill level.

Gardiner, D.; Bardon, M.; Pucher, G.

2008-10-01T23:59:59.000Z

283

Modelling the Fate of Sulphur During Pulverized Coal Combustion under Conventional and Oxy-fuel Conditions  

Science Journals Connector (OSTI)

Abstract Focus of the present study is on the fate of sulphur during coal combustion and modelling of the corresponding \\{SOx\\} formation mechanisms. The sulphur chemistry during coal combustion in general is briefly described and potential effects of the oxy-fuel conditions are explained. Details about the developed sulphur chemistry model which covers both heterogeneous and homogeneous reaction pathways are given. The model describes the sulphur transformation in a sequence of stages: the release of coal-bound sulphur, gas phase reactions of sulphuric species, and self-retention of sulphur oxides by coal ash. The model is evaluated against experimental data from IFK's semi-industrial scale furnace (500 kWth) firing lignite at conventional and oxy-fuel combustion conditions. Four reference cases are considered, i.e. air and oxy-fuel mode in both non-staged and staged operation. Based on the results from the basic combustion simulation with AIOLOS, the sulphur chemistry model has been applied in a subsequent post-processing step. The sulphur related results show that the general trends regarding the species concentrations may be predicted correctly. The specific characteristics and the effect of oxy-fuel conditions and oxidant staging are captured correspondingly within the simulation results. Yet, certain deficiencies concerning the quantitative prediction could be identified which necessitate further investigations.

Michael Müller; Uwe Schnell; Günter Scheffknecht

2013-01-01T23:59:59.000Z

284

No more electrical infrastructure: towards fuel cell powered data centers  

Science Journals Connector (OSTI)

We consider the use of fuel cells for powering data centers, based on benefits in reliability, capital and operational costs, and reduced environmental emissions. Using fuel cells effectively in data centers introduces several challenges and we highlight ...

Ana Carolina Riekstin; Sean James; Aman Kansal; Jie Liu; Eric Peterson

2014-05-01T23:59:59.000Z

285

An evaluation of thermal modeling techniques utilized for nuclear fuel rods  

E-Print Network (OSTI)

like to thank my graduate advisor, Dr. K. L. Peddicord, for his technical advice and guidance throughout this project and my studies in Nuclear Engineering at Texas AgiM University. Thanks are also extended to Dr. Hassan and Dr. Caton for reviewing.... Burnup Fission Gas Rdease Fuel Tltermal Conductivity Fuel Cracking Fuel Creep Rate Fuel Relocadon Fuel VIrermal Expansion Fuel Rod Tltermal Power Fuel Telltpelanaes Fuel Stress es Fuel Strains Fission Rate Fuel-Cladding Gap Heat...

Simmons, Jeffrey Warren

2012-06-07T23:59:59.000Z

286

Advanced Fuel Performance: Modeling and Simulation Light Water...  

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

models, and will be designed for implementa- tion not only on today's leadership- class computers, but also for advanced architecture platforms now under de- velopment by DOE, as...

287

A computer model for optimizing the location of natural gas fueling stations  

Science Journals Connector (OSTI)

Abstract High levels of fine particulate matter and ozone in many major cities are causing increased respiratory problems, increased asthma attacks and premature death. Natural gas vehicles have been reported to emit up to 95% less particulate matter than diesel powered vehicles and up to 90% less ozone-producing carbon monoxide and reactive hydrocarbons. The adoption of natural gas vehicles, therefore, could play a large role in improving air quality in many cities. Because of the many costs associated with the introduction of a new fueling infrastructure, optimum distribution of fueling stations will play a major role in widespread use of natural gas vehicles, especially in the early stages of market penetration. A model was developed that can be used to optimize fueling station placement-based on traffic volume using a Monte Carlo algorithm. In particular, the Monte Carlo method allows for the placement of the fueling stations based upon their proximity to high volume traffic flow and the placement of all the fueling stations are optimized simultaneously. Traffic volume data from Pittsburgh, PA was used in the model simulations.

T.L. Kerzmann; G.A. Buxton; J. Preisser

2014-01-01T23:59:59.000Z

288

Reaction-Diffusion Model for Combustion with Fuel Consumption: I. Dirichlet Boundary Conditions  

Science Journals Connector (OSTI)

......9JT, UK Department of Chemistry, University of Leeds...Reaction-Diffusion Model for Combustion with Fuel Consumption...SCOTT Department of Chemistry, University of Leeds...runaway in stockpiles of coal, wool, cellulose...smouldering or fully fledged combustion and their attendant......

G. ZHANG; J. H. MERKIN; S. K. SCOTT

1991-01-01T23:59:59.000Z

289

Analysis of Molten Carbonate Fuel Cell Performance Using a Three-Phase Homogeneous Model  

E-Print Network (OSTI)

temperatures, nickel oxide dissolves in the melt. This slow loss of active material contributes to an increase as compared to nickel oxide. The search for alternate cathode materials could be simplified through the use-phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell MCFC cathode

Popov, Branko N.

290

Capturing the impact of fuel price on jet aircraft operating costs with Leontief technology and econometric models  

Science Journals Connector (OSTI)

Investigation of the airline response to a fuel price increase is in effect an investigation of the role of variable interactions in aircraft cost models. We examine the impact of fuel price on aircraft costs and airline operational strategies by developing two classes of operating cost models for jet aircraft and comparing the results. The translog operating cost model is a flexible functional form that provides a detailed representation of the empirical relationship between fuel cost and operating cost, allowing for substitution, scale, aircraft age, and variable interactions to be captured. The simpler Leontief model assumes that inputs of a cost model must be used in fixed proportions regardless of their prices. While it does not capture variable interactions, the Leontief model is more transparent, requires fewer inputs, and allows the contribution of a single factor, such as fuel price, to operating cost to be more easily isolated. An analysis of the translog operating cost model reveals that as fuel price increases, airlines will take steps to use fuel more efficiently by leveraging other inputs; a comparison of the translog and the Leontief technology models, however, show that the potential for this supplier input substitution for fuel is rather modest. By building the two operating cost models and comparing their predictions, we illustrate a method to determine the prediction potential of a Leontief technology model and assess the importance of input substitution at the vehicle level.

Megan Smirti Ryerson; Mark Hansen

2013-01-01T23:59:59.000Z

291

A coupled-physics model for the vanadium oxygen fuel cell  

Science Journals Connector (OSTI)

Abstract A stationary two-dimensional model for the vanadium oxygen fuel cell is developed. The model consists of a single cell with two membranes, set up as of two half-cells and an intermediate chamber. The transport and balance of mass, momentum and charge are linked to the electrochemical reaction kinetics of the vanadium species and oxygen. The kinetic model for the cathode half-cell is extended by an empirical logistic function to describe the transient behavior of the half-cell. Additionally, experiments are conducted on a single vanadium oxygen fuel cell with 40 cm2 active membrane area. The experimental results are used to validate the simulation data. The effects of constant current discharging, polarization behavior and different flow rates on the cathode overpotential are studied by means of this model.

F.T. Wandschneider; M. Küttinger; J. Noack; P. Fischer; K. Pinkwart; J. Tübke; H. Nirschl

2014-01-01T23:59:59.000Z

292

A computer model for the transient analysis of compact research reactors with plate type fuel  

SciTech Connect

A coupled neutronics and core thermal-hydraulic performance model has been developed for the analysis of plate type U-Al fueled high-flux research reactor transients. The model includes point neutron kinetics, one-dimensional, non-homogeneous, equilibrium two-phase flow and beat transfer with provision for subcooled boiling, and spatially averaged one-dimensional beat conduction. The feedback from core regions other than the fuel elements is included by employing a lumped parameter approach. Partial differential equations are discretized in space and the combined equation set representing the model is converted to an initial value problem. A variable-order, variable-time-step time advancement scheme is used to solve these ordinary differential equations. The model is verified through comparisons with two other computer code results and partially validated against SPERT-II tests. It is also used to analyze a series of HFIR reactivity transients.

Sofu, T. [Argonne National Lab., IL (United States); Dodds, H.L. [Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering

1994-03-01T23:59:59.000Z

293

Holistic modelling of a combined Photovoltaic, Wind and Fuel Cell power system  

E-Print Network (OSTI)

Abstract – The research work presented in this paper is focused on the holistic modelling of a combined Photovoltaic (PV), Wind and Fuel Cell, (FC) power system. The modelling approach is based on the Handel C programming language and is using the DK5 modelling / design environment from Mentor Graphics. The aim of the research was to achieve a combined model of a photovoltaic – wind-fuel cell energy system, enabling an holistically optimized digital control system design, followed by its rapid Field Programmable Gate Array (FPGA) prototyping. Initially, the functional simulations of the integrated system were performed, than, the controller design was downloaded in hardware onto a RC10 development board containing a Xilinx Spartan FPGA and was successfully tested experimentally. This approach enables the design and fast hardware implementation of efficient controllers for Distributed Energy Resource (DER) hybrid systems.

A. Tisan; M. Cirstea

294

Fleet-averaged engine matrices for Australian vehicles and their use in fuel economy modelling  

Science Journals Connector (OSTI)

Data obtained during standard chassis dynamometer testing at the University of Sydney is used to produce an engine fuel consumption matrix for the test vehicle. The matrix includes the effect of engine operational transients and is presented in a generalised engine parameter form which allows comparisons between dissimilar vehicles. A sufficient number of tests have been carried out to construct a fleet-averaged engine matrix for in-use Australian vehicles. A model is described which uses this matrix to predict the effect of variations in vehicle parameters and traffic flow patterns on the fuel consumption of a motor vehicle on the road or on the dynamometer.

T.J. Gibson; R.W. Bilger

1987-01-01T23:59:59.000Z

295

Nite Capital | Open Energy Information  

Open Energy Info (EERE)

Nite Capital Nite Capital Jump to: navigation, search Name Nite Capital Place Libertyville, Illinois Zip 60048 Product Nite Capital provides private financing for small-cap and micro-cap public companies. Coordinates 40.95912°, -92.049669° 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":40.95912,"lon":-92.049669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

296

Infield Capital | Open Energy Information  

Open Energy Info (EERE)

Infield Capital Infield Capital Jump to: navigation, search Name Infield Capital Place Boulder, Colorado Product Infield Capital was founded in 2008, and is focused on investment in early-stage clean technologies for the transportation industry, with an emphasis on future powertrain technologies. Coordinates 42.74962°, -109.714163° 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":42.74962,"lon":-109.714163,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

Greenview Capital | Open Energy Information  

Open Energy Info (EERE)

Greenview Capital Greenview Capital Jump to: navigation, search Name Greenview Capital Place Libertyville, Illinois Zip 60048 Product Greenview Capital is a U.S. based consulting firm and merchant bank specialising in taking private companies public through a reverse merger or alternative public offering. Coordinates 40.95912°, -92.049669° 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":40.95912,"lon":-92.049669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

298

CMEA Capital | Open Energy Information  

Open Energy Info (EERE)

CMEA Capital CMEA Capital Jump to: navigation, search Logo: CMEA Capital Name CMEA Capital Address 1 Embarcadero Center Place San Francisco, California Zip 94111 Region Bay Area Number of employees 11-50 Year founded 1989 Phone number 415-352-1250 Website http://www.cmea.com/ Coordinates 37.794497°, -122.39962° 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":37.794497,"lon":-122.39962,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

299

Osmosis Capital | Open Energy Information  

Open Energy Info (EERE)

Osmosis Capital Osmosis Capital Jump to: navigation, search Name Osmosis Capital Place London, United Kingdom Zip EC4M 9DN Sector Carbon Product An investment firm seeking low carbon economy opportunity investments through its Osmosis Capital Fund. Coordinates 51.506325°, -0.127144° 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":51.506325,"lon":-0.127144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

300

Venture Capital Program (North Dakota)  

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

The Venture Capital Program, provided by the ND Department of Commerce, is an innovative financial program that provides flexible financing through debt and equity investments for new or expanding...

Note: This page contains sample records for the topic "fuels model capital" 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

More on Capital Expenditure Anticipations  

Science Journals Connector (OSTI)

We turn now to analysis of investment realizations functions, beginning with the one-year ahead, or short run capital expenditure anticipations,based upon McGraw-Hill data over...a fortiori..., for all firms of a...

R. Eisner

1978-01-01T23:59:59.000Z

302

Florida Capital Access Program (Florida)  

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

The Florida Capital Access Program, run by the Florida Department of Economic Development, is a loan portfolio insurance program enabling lenders to make loans to credit-worthy small businesses. ...

303

Carbon Capital | Open Energy Information  

Open Energy Info (EERE)

Sector: Carbon Product: Manages a carbon fund specialised in forestry projects References: Carbon Capital1 This article is a stub. You can help OpenEI by expanding it. Carbon...

304

Atrium Capital | Open Energy Information  

Open Energy Info (EERE)

Atrium Capital Atrium Capital Jump to: navigation, search Logo: Atrium Capital Name Atrium Capital Address 3000 Sand Hill Road, Building 2, Suite 240 Place Menlo Park, California Zip 94025 Region Bay Area Product Corporate strategic venture investing Year founded 1991 Phone number (650) 233-7878 Website http://www.atriumcapital.com/ Coordinates 37.4244767°, -122.1942422° 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":37.4244767,"lon":-122.1942422,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

305

Modelling of thermo-mechanical and irradiation behavior of metallic and oxide fuels for sodium fast reactors  

E-Print Network (OSTI)

A robust and reliable code to model the irradiation behavior of metal and oxide fuels in sodium cooled fast reactors is developed. Modeling capability was enhanced by adopting a non-empirical mechanistic approach to the ...

Karahan, Aydin

2009-01-01T23:59:59.000Z

306

Honeywell acquires First Technology share capital  

Science Journals Connector (OSTI)

Honeywell has declared its offer to acquire the entire issued share capital of First Technology plc.

2006-01-01T23:59:59.000Z

307

Capital Expenditure on Education in Britain  

Science Journals Connector (OSTI)

... Economic Secretary to the Treasury, Mr. A. Barber, said that during 1956-57: capital ...capitalexpenditure ...

1962-05-19T23:59:59.000Z

308

Water Transport in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing, and Design Optimization  

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

in PEM Fuel Cells: in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing, and Design Optimization J. Vernon Cole and Ashok Gidwani CFDRC Prepared for: DOE Hydrogen Fuel Cell Kickoff Meeting February 13, 2007 This presentation does not contain any proprietary or confidential information. Background Water Management Issues Arise From: ƒ Generation of water by cathodic reaction ƒ Membrane humidification requirements ƒ Capillary pressure driven transport through porous MEA and GDL materials ƒ Scaling bipolar plate channel dimensions J.H. Nam and M. Kaviany, Int. J. Heat Mass Transfer, 46, pp. 4595-4611 (2003) Relevant Barriers and Targets ƒ Improved Gas Diffusion Layer, Flow Fields, Membrane Electrode Assemblies Needed to Improve Water Management: * Flooding blocks reactant transport

309

Two-dimensional modeling of sodium boiling transients in simulated LMFBR fuel bundles  

SciTech Connect

A two-dimensional code for analysis of sodium boiling in LMFBR fuel assemblies has been developed at ORNL. This code, THORAX, has been used to analyze tests in 19- and 61-pin electrically-heated, simulated LMFBR fuel assemblies in the THORS facility. THORAX has simulated well the transient growth of the two-dimensional boiling region and the resulting static flow instability leading to dryout. Extrapolation of results to a full size fuel pin bundle shows that two-dimensional effects are reduced but still significant. The code will be extended to include a loop model in support of forthcoming tests in the THORS-SHRS Assembly 1 loop, which will include two parallel 19-pin simulated driver bundles.

Rose, S.D.; Dearing, J.F; Carbajo, J.J.; Levin, A.E.; Montgomery, B.H.; Wantland, J.L.

1982-01-01T23:59:59.000Z

310

Long-Term Wisconsin Capital Assets Deferral and Wisconsin-Source Asset  

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

Long-Term Wisconsin Capital Assets Deferral and Wisconsin-Source Long-Term Wisconsin Capital Assets Deferral and Wisconsin-Source Asset Exclusion Qualified Wisconsin Business Certification (Wisconsin) Long-Term Wisconsin Capital Assets Deferral and Wisconsin-Source Asset Exclusion Qualified Wisconsin Business Certification (Wisconsin) < Back Eligibility Commercial Institutional Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Wisconsin Program Type Corporate Tax Incentive Personal Tax Incentives Provider Wisconsin Economic Development Corporation WEDC may certify businesses as a "Qualified Wisconsin Business". The designation allows investors with WI capital gains tax liability to both defer that tax liability and if an investment is maintained for a minimum

311

Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling  

SciTech Connect

The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson

2014-10-01T23:59:59.000Z

312

Particle Modeling of Fuel Plate Melting during Coolant Flow Blockage in HFIR.  

E-Print Network (OSTI)

??Cooling channel inlet flow blockage has damaged fuel in plate fueled reactors and contributes significantly to the probability of fuel damage based on Probabilistic Risk… (more)

Nakamura, Hiraku

2014-01-01T23:59:59.000Z

313

Heavy Duty Diesel Particulate Matter and Fuel Consumption Modeling for Transportation Analysis  

E-Print Network (OSTI)

of steady state engine fuel consumption and emission maps.affecting engine load and consequently fuel consumption. Theand engine speed which it then relates to fuel consumption

Scora, George Alexander

2011-01-01T23:59:59.000Z

314

Heavy-Duty Diesel Vehicle Fuel Consumption Modeling Based on Road Load and Power Train Parameters  

E-Print Network (OSTI)

Injection Diesel Engine Fuel Consumption”, SAE 971142, 11.engine load, engine speed, and fuel consumption. The tirevehicle speed, engine speed, fuel consumption, engine load,

Giannelli, R; Nam, E K; Helmer, K; Younglove, T; Scora, G; Barth, M

2005-01-01T23:59:59.000Z

315

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

operating conditions. Direct Hydrogen Fuel Cell System Modelconditions for a direct hydrogen fuel cell system Table 1simulation tool for hydrogen fuel cell vehicles, Journal of

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

316

Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles  

E-Print Network (OSTI)

for forecasting demand for alternative-fuel vehicles. In:preferences for alternative-fuel vehicles David Brownstonespondents' preferences for alternative-fuel vehicles. The e€

Brownston, David; Bunch, David S.; Train, Kenneth

1999-01-01T23:59:59.000Z

317

WaterTransport in PEM Fuel Cells: Advanced Modeling, Material Selection, Testing and Design Optimization  

SciTech Connect

Water management in Proton Exchange Membrane, PEM, Fuel Cells is challenging because of the inherent conflicts between the requirements for efficient low and high power operation. Particularly at low powers, adequate water must be supplied to sufficiently humidify the membrane or protons will not move through it adequately and resistance losses will decrease the cell efficiency. At high power density operation, more water is produced at the cathode than is necessary for membrane hydration. This excess water must be removed effectively or it will accumulate in the Gas Diffusion Layers, GDLs, between the gas channels and catalysts, blocking diffusion paths for reactants to reach the catalysts and potentially flooding the electrode. As power density of the cells is increased, the challenges arising from water management are expected to become more difficult to overcome simply due to the increased rate of liquid water generation relative to fuel cell volume. Thus, effectively addressing water management based issues is a key challenge in successful application of PEMFC systems. In this project, CFDRC and our partners used a combination of experimental characterization, controlled experimental studies of important processes governing how water moves through the fuel cell materials, and detailed models and simulations to improve understanding of water management in operating hydrogen PEM fuel cells. The characterization studies provided key data that is used as inputs to all state-of-the-art models for commercially important GDL materials. Experimental studies and microscopic scale models of how water moves through the GDLs showed that the water follows preferential paths, not branching like a river, as it moves toward the surface of the material. Experimental studies and detailed models of water and airflow in fuel cells channels demonstrated that such models can be used as an effective design tool to reduce operating pressure drop in the channels and the associated costs and weight of blowers and pumps to force air and hydrogen gas through the fuel cell. Promising improvements to materials structure and surface treatments that can potentially aid in managing the distribution and removal of liquid water were developed; and improved steady-state and freeze-thaw performance was demonstrated for a fuel cell stack under the self-humidified operating conditions that are promising for stationary power generation with reduced operating costs.

J. Vernon Cole; Abhra Roy; Ashok Damle; Hari Dahr; Sanjiv Kumar; Kunal Jain; Ned Djilai

2012-10-02T23:59:59.000Z

318

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network (OSTI)

costs EV battery degradation costs electricity sales fixedand sales, DER capital costs, fuel costs, demand response measures and EV

Stadler, Michael

2012-01-01T23:59:59.000Z

319

A Quasi-Two-Dimensional Electrochemistry Modeling Tool for Planar Solid Oxide Fuel Cell Stacks  

SciTech Connect

A two-dimensional numerical model is presented for the efficient computation of the steady-state current density, species concentration, and temperature distributions in planar solid oxide fuel cell stacks. The model reduction techniques, engineering approximations, and numerical procedures used to simulate the stack physics while maintaining adequate computational speed are discussed. The results of the model for benchmark cases with and without on-cell methane reformation are presented with comparisons to results from other research described in the literature. The capabilities, performance, and scalability of the model for the study of large multi-cell stacks are then demonstrated.

Lai, Canhai; Koeppel, Brian J.; Choi, Kyoo Sil; Recknagle, Kurtis P.; Sun, Xin; Chick, Lawrence A.; Korolev, Vladimir N.; Khaleel, Mohammad A.

2011-03-15T23:59:59.000Z

320

Transmission line capital costs  

SciTech Connect

The displacement or deferral of conventional AC transmission line installation is a key benefit associated with several technologies being developed with the support of the U.S. Department of Energy`s Office of Energy Management (OEM). Previous benefits assessments conducted within OEM have been based on significantly different assumptions for the average cost per mile of AC transmission line. In response to this uncertainty, an investigation of transmission line capital cost data was initiated. The objective of this study was to develop a database for preparing preliminary estimates of transmission line costs. An extensive search of potential data sources identified databases maintained by the Bonneville Power Administration (BPA) and the Western Area Power Administration (WAPA) as superior sources of transmission line cost data. The BPA and WAPA data were adjusted to a common basis and combined together. The composite database covers voltage levels from 13.8 to 765 W, with cost estimates for a given voltage level varying depending on conductor size, tower material type, tower frame type, and number of circuits. Reported transmission line costs vary significantly, even for a given voltage level. This can usually be explained by variation in the design factors noted above and variation in environmental and land (right-of-way) costs, which are extremely site-specific. Cost estimates prepared from the composite database were compared to cost data collected by the Federal Energy Regulatory Commission (FERC) for investor-owned utilities from across the United States. The comparison was hampered because the only design specifications included with the FERC data were voltage level and line length. Working within this limitation, the FERC data were not found to differ significantly from the composite database. Therefore, the composite database was judged to be a reasonable proxy for estimating national average costs.

Hughes, K.R.; Brown, D.R.

1995-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Improvement of the Post-Blowdown Fuel Channel Analysis Model of Candu for a 35% RIH Break LOCA Without ECC  

SciTech Connect

A CATHENA model for a post-blowdown fuel channel analysis has been improved from an existing one for a Candu-6 reactor, and the analysis for a RIH 35% LBLOCA/LOECC has been performed. The results for the blowdown and post blowdown analyses show that the post blowdown model and its connection with the blowdown analysis model is successfully implemented. Also the 3-D CFD model for the fluid flow and heat transfer in the Candu fuel channel, is being developed for the post blowdown fuel channel heatup experiment CS28-1 using CFX 5.6 and its recent progress is described. (authors)

Rhee, B. W.; Kang, H.S.; Min, B.J. [Korea Atomic Energy Research Institute, P.O. Box 105, Yuseong, Daejeon, 305-600 (Korea, Republic of)

2004-07-01T23:59:59.000Z

322

A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks  

SciTech Connect

A reduced order modeling approach based on response surface techniques was developed for solid oxide fuel cell stacks. This approach creates a numerical model that can quickly compute desired performance variables of interest for a stack based on its input parameter set. The approach carefully samples the multidimensional design space based on the input parameter ranges, evaluates a detailed stack model at each of the sampled points, and performs regression for selected performance variables of interest to determine the responsive surfaces. After error analysis to ensure that sufficient accuracy is established for the response surfaces, they are then implemented in a calculator module for system-level studies. The benefit of this modeling approach is that it is sufficiently fast for integration with system modeling software and simulation of fuel cell-based power systems while still providing high fidelity information about the internal distributions of key variables. This paper describes the sampling, regression, sensitivity, error, and principal component analyses to identify the applicable methods for simulating a planar fuel cell stack.

Pan, Wenxiao; Bao, Jie; Lo, Chaomei; Lai, Canhai; Agarwal, Khushbu; Koeppel, Brian J.; Khaleel, Mohammad A.

2013-06-15T23:59:59.000Z

323

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

SciTech Connect

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

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

2013-07-01T23:59:59.000Z

324

RELAP5 model of the high flux isotope reactor with low enriched fuel thermal flux profiles  

SciTech Connect

The High Flux Isotope Reactor (HFIR) currently uses highly enriched uranium (HEU) fabricated into involute-shaped fuel plates. It is desired that HFIR be able to use low enriched uranium (LEU) fuel while preserving the current performance capability for its diverse missions in material irradiation studies, isotope production, and the use of neutron beam lines for basic research. Preliminary neutronics and depletion simulations of HFIR with LEU fuel have arrived to feasible fuel loadings that maintain the neutronics performance of the reactor. This article illustrates preliminary models developed for the analysis of the thermal-hydraulic characteristics of the LEU core to ensure safe operation of the reactor. The beginning of life (BOL) LEU thermal flux profile has been modeled in RELAP5 to facilitate steady state simulation of the core cooling, and of anticipated and unanticipated transients. Steady state results are presented to validate the new thermal power profile inputs. A power ramp, slow depressurization at the outlet, and flow coast down transients are also evaluated. (authors)

Banfield, J.; Mervin, B.; Hart, S.; Ritchie, J.; Walker, S.; Ruggles, A.; Maldonado, G. I. [Dept. of Nuclear Engineering, Univ. of Tennessee Knoxville, Knoxville, TN 37996-2300 (United States)

2012-07-01T23:59:59.000Z

325

Cyclus fuel cycle simulation capabilities with the CYDER disposal system model  

SciTech Connect

An algorithm and supporting database for rapid thermal repository loading calculation was implemented in CYDER. This algorithm employs a Specific Temperature Change (STC) method and has resulted from combining detailed spent nuclear fuel composition data with a detailed thermal repository performance analysis tool from Lawrence Livermore National Laboratory (LLNL), Argonne National Laboratory (ANL), and the Used Fuel Disposition (UFD) campaign. By abstraction of and benchmarking against these detailed thermal models, CYDER captures the dominant physics of thermal phenomena affecting repository capacity in various geologic media and as a function of spent fuel composition. Abstraction based on detailed computational thermal repository performance calculations with the LLNL semi-analytic model has resulted in implementation of the STC estimation algorithm and a supporting reference dataset. This method is capable of rapid estimation of temperature increase near emplacement tunnels as a function of waste composition, limiting radius, waste package spacing, near field thermal conductivity and near field thermal diffusivity. The sensitivity analyses and validation efforts conducted in this work demonstrate the capability of the CYDER tool to provide repository capacity and performance metrics in the context of dynamic fuel cycle.

Huff, K.D. [Argonne National Laboratory, 9700 S. Cass Ave., Lemont, IL 60439 (United States); University of Wisconsin, 1500 Engineering Drive, Madison, WI 53706 (United States)

2013-07-01T23:59:59.000Z

326

Uranium Nitride as LWR TRISO Fuel: Thermodynamic Modeling of U-C-N  

SciTech Connect

TRISO coated particle fuel is envisioned as a next generation replacement for current urania pellet fuel in LWR applications. To obtain adequate fissile loading the kernel of the TRISO particle will need to be UN. In support of the fuel development effort, an assessment of phase regions of interest in the U-C-N system was undertaken as the fuel will be prepared by the carbothermic reduction of the oxide and it will be in equilibrium with carbon within the TRISO particle. The phase equilibria and thermochemistry of the U-C-N system is reviewed, including nitrogen pressure measurements above various phase fields. Selected measurements were used to fit a first order model of the UC1-xNx phase, represented by the inter-solution of UN and UC. Fit to the data was significantly improved by also adjusting the heat of formation for UN by ~12 kJ/mol and the phase equilbria was best reproduced by also adjusting the heat for U2N3 by +XXX. The determined interaction parameters yielded a slightly positive deviation from ideality, which agrees with lattice parameter measurements which show positive deviation from Vegard s law. The resultant model together with reported values for other phases in the system were used to generate isothermal sections of the U-C-N phase diagram. Nitrogen partial pressures were also computed for regions of interest.

Besmann, Theodore M [ORNL; Shin, Dongwon [ORNL

2012-01-01T23:59:59.000Z

327

Coupling the Mixed Potential and Radiolysis Models for Used Fuel Degradation  

SciTech Connect

The primary purpose of this report is to describe the strategy for coupling three process level models to produce an integrated Used Fuel Degradation Model (FDM). The FDM, which is based on fundamental chemical and physical principals, provides direct calculation of radionuclide source terms for use in repository performance assessments. The G-value for H2O2 production (Gcond) to be used in the Mixed Potential Model (MPM) (H2O2 is the only radiolytic product presently included but others will be added as appropriate) needs to account for intermediate spur reactions. The effects of these intermediate reactions on [H2O2] are accounted for in the Radiolysis Model (RM). This report details methods for applying RM calculations that encompass the effects of these fast interactions on [H2O2] as the solution composition evolves during successive MPM iterations and then represent the steady-state [H2O2] in terms of an “effective instantaneous or conditional” generation value (Gcond). It is anticipated that the value of Gcond will change slowly as the reaction progresses through several iterations of the MPM as changes in the nature of fuel surface occur. The Gcond values will be calculated with the RM either after several iterations or when concentrations of key reactants reach threshold values determined from previous sensitivity runs. Sensitivity runs with RM indicate significant changes in G-value can occur over narrow composition ranges. The objective of the mixed potential model (MPM) is to calculate the used fuel degradation rates for a wide range of disposal environments to provide the source term radionuclide release rates for generic repository concepts. The fuel degradation rate is calculated for chemical and oxidative dissolution mechanisms using mixed potential theory to account for all relevant redox reactions at the fuel surface, including those involving oxidants produced by solution radiolysis and provided by the radiolysis model (RM). The RM calculates the concentration of species generated at any specific time and location from the surface of the fuel. Several options being considered for coupling the RM and MPM are described in the report. Different options have advantages and disadvantages based on the extent of coding that would be required and the ease of use of the final product.

Buck, Edgar C.; Jerden, James L.; Ebert, William L.; Wittman, Richard S.

2013-08-30T23:59:59.000Z

328

MELCOR Model of the Spent Fuel Pool of Fukushima Dai-ichi Unit 4  

SciTech Connect

Unit 4 of the Fukushima Dai-ichi Nuclear Power Plant suffered a hydrogen explosion at 6:00 am on March 15, 2011, exactly 3.64 days after the earthquake hit the plant and the off-site power was lost. The earthquake occurred on March 11 at 2:47 pm. Since the reactor of this Unit 4 was defueled on November 29, 2010, and all its fuel was stored in the spent fuel pool (SFP4), it was first believed that the explosion was caused by hydrogen generated by the spent fuel, in particular, by the recently discharged core. The hypothetical scenario was: power was lost, cooling to the SFP4 water was lost, pool water heated/boiled, water level decreased, fuel was uncovered, hot Zircaloy reacted with steam, hydrogen was generated and accumulated above the pool, and the explosion occurred. Recent analyses of the radioisotopes present in the water of the SFP4 and underwater video indicated that this scenario did not occur - the fuel in this pool was not damaged and was never uncovered the hydrogen of the explosion was apparently generated in Unit 3 and transported through exhaust ducts that shared the same chimney with Unit 4. This paper will try to answer the following questions: Could that hypothetical scenario in the SFP4 had occurred? Could the spent fuel in the SPF4 generate enough hydrogen to produce the explosion that occurred 3.64 days after the earthquake? Given the magnitude of the explosion, it was estimated that at least 150 kg of hydrogen had to be generated. As part of the investigations of this accident, MELCOR models of the SFP4 were prepared and a series of calculations were completed. The latest version of MELCOR, version 2.1 (Ref. 1), was employed in these calculations. The spent fuel pool option for BWR fuel was selected in MELCOR. The MELCOR model of the SFP4 consists of a total of 1535 fuel assemblies out of which 548 assemblies are from the core defueled on Nov. 29, 2010, 783 assemblies are older assemblies, and 204 are new/fresh assemblies. The total decay heat of the fuel in the pool was, at the time of the accident, 2.284 MWt, of which 1.872 MWt were from the 548 assemblies of the last core discharged and 0.412 MWt were from the older 783 assemblies. These decay heat values were calculated at Oak Ridge National Laboratory using the ORIGEN2.2 code (Ref. 2) - they agree with values reported elsewhere (Ref. 3). The pool dimensions are 9.9 m x 12.2 m x 11.8 m (height), and with the water level at 11.5 m, the pool volume is 1389 m3, of which only 1240 m3 is water, as some volume is taken by the fuel and by the fuel racks. The initial water temperature of the SFP4 was assumed to be 301 K. The fuel racks are made of an aluminum alloy but are modeled in MELCOR with stainless steel and B4C. MELCOR calculations were completed for different initial water levels: 11.5 m (pool almost full, water is only 0.3 m below the top rim), 4.4577 m (top of the racks), 4.2 m, and 4.026 m (top of the active fuel). A calculation was also completed for a rapid loss of water due to a leak at the bottom of the pool, with the fuel rapidly uncovered and oxidized in air. Results of these calculations are shown in the enclosed Table I. The calculation with the initial water level at 11.5 m (full pool) takes 11 days for the water to boil down to the top of the fuel racks, 11.5 days for the fuel to be uncovered, 14.65 days to generate 150 kg of hydrogen and 19 days for the pool to be completely dry. The calculation with the initial water level at 4.4577 m, takes 1.1 days to uncover the fuel and 4.17 days to generate 150 kg of hydrogen. The calculation with the initial water level at 4.02 m takes 3.63 days to generate 150 kg of hydrogen this is exactly the time when the actual explosion occurred in Unit 4. Finally, fuel oxidation in air after the pool drained the water in 20 minutes, generates only 10 kg of hydrogen this is because very little steam is available and Zircaloy (Zr) oxidation with the oxygen of the air does not generate hydrogen. MELCOR calculated water levels and hydrogen generated in the SFP4 as a function of time for initial water le

Carbajo, Juan J [ORNL] [ORNL

2012-01-01T23:59:59.000Z

329

Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister  

SciTech Connect

This report fulfills the M3 milestone (M3FT-13PN0810027) to report on a radiolysis computer model analysis that estimates the generation of radiolytic products for a storage canister. The analysis considers radiolysis outside storage canister walls and within the canister fill gas over a possible 300-year lifetime. Previous work relied on estimates based directly on a water radiolysis G-value. This work also includes that effect with the addition of coupled kinetics for 111 reactions for 40 gas species to account for radiolytic-induced chemistry, which includes water recombination and reactions with air.

Wittman, Richard S.

2013-09-20T23:59:59.000Z

330

A Feedback Model for Radio Sources Fueled by Cooling Flows  

Science Journals Connector (OSTI)

In many clusters of galaxies, radiative cooling in the central regions appears to drive an accretion flow. Many of these "cooling-flow clusters" possess strong radio sources in the central regions, which suggests a causal relation between the cooling flow and the radio source. We consider a general model in which a cooling flow produces and interacts with relativistic electrons in the core of the cluster. These electrons heat the inflowing gas, generating negative feedback that reduces the accretion rate. For sufficiently strong feedback, the accretion flow shows an oscillatory behavior on a timescale of several hundred million years.

Wallace Tucker; Laurence

1997-01-01T23:59:59.000Z

331

TRISO Fuel Performance: Modeling, Integration into Mainstream Design Studies, and Application to a Thorium-fueled Fusion-Fission Hybrid Blanket  

SciTech Connect

This study focused on creating a new tristructural isotropic (TRISO) coated particle fuel performance model and demonstrating the integration of this model into an existing system of neutronics and heat transfer codes, creating a user-friendly option for including fuel performance analysis within system design optimization and system-level trade-off studies. The end product enables both a deeper understanding and better overall system performance of nuclear energy systems limited or greatly impacted by TRISO fuel performance. A thorium-fueled hybrid fusion-fission Laser Inertial Fusion Energy (LIFE) blanket design was used for illustrating the application of this new capability and demonstrated both the importance of integrating fuel performance calculations into mainstream design studies and the impact that this new integrated analysis had on system-level design decisions. A new TRISO fuel performance model named TRIUNE was developed and verified and validated during this work with a novel methodology established for simulating the actual lifetime of a TRISO particle during repeated passes through a pebble bed. In addition, integrated self-consistent calculations were performed for neutronics depletion analysis, heat transfer calculations, and then fuel performance modeling for a full parametric study that encompassed over 80 different design options that went through all three phases of analysis. Lastly, side studies were performed that included a comparison of thorium and depleted uranium (DU) LIFE blankets as well as some uncertainty quantification work to help guide future experimental work by assessing what material properties in TRISO fuel performance modeling are most in need of improvement. A recommended thorium-fueled hybrid LIFE engine design was identified with an initial fuel load of 20MT of thorium, 15% TRISO packing within the graphite fuel pebbles, and a 20cm neutron multiplier layer with beryllium pebbles in flibe molten salt coolant. It operated at a system power level of 2000 MW{sub th}, took about 3.5 years to reach full plateau power, and was capable of an End of Plateau burnup of 38.7 %FIMA if considering just the neutronic constraints in the system design; however, fuel performance constraints led to a maximum credible burnup of 12.1 %FIMA due to a combination of internal gas pressure and irradiation effects on the TRISO materials (especially PyC) leading to SiC pressure vessel failures. The optimal neutron spectrum for the thorium-fueled blanket options evaluated seemed to favor a hard spectrum (low but non-zero neutron multiplier thicknesses and high TRISO packing fractions) in terms of neutronic performance but the fuel performance constraints demonstrated that a significantly softer spectrum would be needed to decrease the rate of accumulation of fast neutron fluence in order to improve the maximum credible burnup the system could achieve.

Powers, J J

2011-11-28T23:59:59.000Z

332

Comparison of Homogeneous and Heterogeneous CFD Fuel Models for Phase I of the IAEA CRP on HTR Uncertainties Benchmark  

SciTech Connect

Computational Fluid Dynamics (CFD) evaluation of homogeneous and heterogeneous fuel models was performed as part of the Phase I calculations of the International Atomic Energy Agency (IAEA) Coordinate Research Program (CRP) on High Temperature Reactor (HTR) Uncertainties in Modeling (UAM). This study was focused on the nominal localized stand-alone fuel thermal response, as defined in Ex. I-3 and I-4 of the HTR UAM. The aim of the stand-alone thermal unit-cell simulation is to isolate the effect of material and boundary input uncertainties on a very simplified problem, before propagation of these uncertainties are performed in subsequent coupled neutronics/thermal fluids phases on the benchmark. In many of the previous studies for high temperature gas cooled reactors, the volume-averaged homogeneous mixture model of a single fuel compact has been applied. In the homogeneous model, the Tristructural Isotropic (TRISO) fuel particles in the fuel compact were not modeled directly and an effective thermal conductivity was employed for the thermo-physical properties of the fuel compact. On the contrary, in the heterogeneous model, the uranium carbide (UCO), inner and outer pyrolytic carbon (IPyC/OPyC) and silicon carbide (SiC) layers of the TRISO fuel particles are explicitly modeled. The fuel compact is modeled as a heterogeneous mixture of TRISO fuel kernels embedded in H-451 matrix graphite. In this study, a steady-state and transient CFD simulations were performed with both homogeneous and heterogeneous models to compare the thermal characteristics. The nominal values of the input parameters are used for this CFD analysis. In a future study, the effects of input uncertainties in the material properties and boundary parameters will be investigated and reported.

Gerhard Strydom; Su-Jong Yoon

2014-04-01T23:59:59.000Z

333

THETRIS: A micro-scale temperature and gas release model for TRISO fuel  

Science Journals Connector (OSTI)

The dominating mechanism in the passive safety of gas-cooled, graphite-moderated, high-temperature reactors (HTRs) is the Doppler feedback effect. These reactor designs are fueled with submillimeter-sized kernels formed into tristructural-isotropic (TRISO) particles that are imbedded in a graphite matrix. The best spatial and temporal representation of the feedback effect is obtained from an accurate approximation of the fuel temperature. Micro-scale models of TRISO particles are necessary in order to obtain accurate predictions during fast transients or when parameters internal to the TRISO are needed. Most accident scenarios in \\{HTRs\\} are characterized by large time constants and slow changes in the fuel and moderator temperature fields. In these situations, a meso-scale, or pebble- and compact-scale, solution provides a good approximation of the fuel temperature as the fission thermal energy transports out of the kernel and into the surrounding matrix with a much shorter time constant. Therefore, in most cases, the matrix can be assumed to be in quasi-static equilibrium with the kernels. These models, however, fail to provide accurate information on the state of the various components of the TRISO during the early stages of transients. Since the coated particles constitute one of the fundamental design barriers for the release of fission products, it becomes important to understand the transient behavior inside this containment system. An explicit TRISO fuel temperature model named THETRIS has been developed and incorporated into the CYNOD–THERMIX-KONVEK suite of coupled codes. The code includes gas-release models that provide a simple predictive capability of the internal pressure during transients. The new model yields similar results to those obtained with other micro-scale fuel models of TRISO particles, but with the added capability to analyze gas release, internal pressure buildup, and effects of a gap in the TRISO. Analysis of bounding benchmark transients yield good agreement with other codes in which the TRISO particles are modeled explicitly. In addition, a sensitivity study of the potential effects on the transient behavior of high-temperature reactors due to the presence of an inter-layer gap is included. Although the formation of a gap occurs under special conditions, its consequences on the dynamic behavior of the reactor can yield responses during fast transients that depart significantly from those in which no gap is present in the model. The new model was applied to an extreme (beyond design basis) scenario in order to observe the behavior of the fuel during a large prompt critical reactivity insertion. Although a large amount of fission energy was deposited rapidly into the fuel, the kernel temperature is shown to stay well below the melting point and the silicon carbide layer remained well below the temperature above which failure is expected to occur. The explicit treatment of the TRISO particle geometry leads to much lower estimations of power peaking during the transient and a greater degree of negative Doppler feedback.

Javier Ortensi; Brian Boer; Abderrafi M. Ougouag

2011-01-01T23:59:59.000Z

334

Internal Gas Pressure Behavior in Mixed-Oxide Fuel Rods Fuels During Irradiation  

Science Journals Connector (OSTI)

Fuel / Symposium on Theoretical Models for Predicting In-Reactor Performance of Fuel and Cladding Material

T. B. Burley; M. D. Freshley

335

Earthrise Capital | Open Energy Information  

Open Energy Info (EERE)

Earthrise Capital Earthrise Capital Jump to: navigation, search Logo: Earthrise Capital Name Earthrise Capital Address 45 Rockefeller Plaza, 20th Floor Place New York, New York Zip 10111 Region Northeast - NY NJ CT PA Area Product Venture capital fund primarily focused on energy, power and water production and use Phone number (212) 757-1007 Website http://www.earthrisecapital.co Coordinates 40.758928°, -73.977127° 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":40.758928,"lon":-73.977127,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

336

SunShot Initiative: Access to Capital  

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

Access to Capital to someone by Access to Capital to someone by E-mail Share SunShot Initiative: Access to Capital on Facebook Tweet about SunShot Initiative: Access to Capital on Twitter Bookmark SunShot Initiative: Access to Capital on Google Bookmark SunShot Initiative: Access to Capital on Delicious Rank SunShot Initiative: Access to Capital on Digg Find More places to share SunShot Initiative: Access to Capital on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Reducing Non-Hardware Costs Lowering Barriers Fostering Growth Access to Capital Photo of a room full of people seated in rows with a few standing in the background. Two hands in the crowd are holding up sheets of paper with 'Like'. Participants at the SunShot Summit breakout session "Big and Small Ideas:

337

Dynamic modelling and simulation of a polymer electrolyte membrane fuel cell used in vehicle considering heat transfer effects  

Science Journals Connector (OSTI)

Fuel cell technology is recently becoming one of the most interesting fields for the car companies to invest in. This interest is because of their high efficiency and zero environmental pollution. Polymer electrolyte membrane fuel cells are the most appropriate type of fuel cells for use in vehicles due to their low performance temperature and high power density. Air and fuel mass flow rate and partial pressure fuel cell stack temperature relative humidity of fuel cellmembrane and heat and water management are the effective parameters of fuel cellpower systems. Good transient behavior is one of the important factors that affect the success of fuel cell vehicles. In order to avoid stack voltage drop during transient condition the control system of fuel cell vehicle is required to preserve optimal temperature membrane hydration and partial pressure of reactants across the membrane. In this paper we developed a dynamic model for fuel cellpower system. The compressor dynamic supply and return manifold filling dynamics (anode and cathode) cooling system dynamic membrane hydration and time-evolving reactant partial pressure are the most significant parameters in transient and steady state of system. The effects of membrane humidity varying inlet air pressure and compressor performance condition on the generated power are studied in this paper.

S. M. Hosseini; A. H. Shamekhi; A. Yazdani

2012-01-01T23:59:59.000Z

338

Acoustic characterization of a partially-premixed gas turbine model combustor: Syngas and hydrocarbon fuel comparisons  

Science Journals Connector (OSTI)

In this work, the acoustic behavior of a combustion instability in a gas turbine model combustor was investigated as fuel properties, air flow rates, and burner geometry were varied. The dual-swirl burner, developed at DLR Stuttgart by Meier, was operated using syngas (H2/CO), ethylene, propane, and methane. The frequency of the instability was found to vary significantly from 250 to 480 Hz. When the plenum volume and the exhaust pipe length and diameter were changed, the frequencies followed trends similar to a Helmholtz resonator. The variation of fuel type, flame speed, and air flow rate greatly altered the instability frequency and amplitude. These effects are not predicted by Helmholtz or organ tone acoustic theory. Higher frequencies were correlated with larger laminar burning velocities and higher air flow rates. The burner is a forced resonator, in which the flame oscillations couple with the flowfield to create convectively altered Helmholtz resonances. This suggests the need for an improved model of a forced Helmholtz resonator that includes flame properties. Alkane fuels displayed similar acoustic trends, but ethylene varied greatly from methane and propane. Syngas displayed different behavior than hydrocarbon fuels, even when the laminar flame speeds of the fuels were matched between ethylene and a syngas mixture. Flame characteristics such as anchoring, liftoff height, and shape appear to play a major role in the determination of instability strength and presence. With increasing hydrogen-content in the syngas-mixture, the flame transitions from a lifted to a fully anchored flame, resulting in a drastic decrease in the acoustic amplitude associated with non-resonating flames. Rayleigh indices show that flat flames create strong regions of thermo-acoustic coupling compared to axially extended V-shape flames. It is concluded that, in the current burner configuration, integrated-acoustics occur that involve a combination of Helmholtz and convective-mechanisms.

Patton M. Allison; James F. Driscoll; Matthias Ihme

2013-01-01T23:59:59.000Z

339

Fuel Cell Tri-Generation System Case Study using the H2A Stationary Model  

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

Fuel Cell Tri-Generation System Case Fuel Cell Tri-Generation System Case Study using the H2A Stationary Model Darlene Steward/ Mike Penev National Renewable Energy Laboratory Integrated Stationary Power and Transportation Workshop Phoenix, Arizona October 27, 2008 National Renewable Energy Laboratory Innovation for Our Energy Future 2 Introduction Goal: Develop a cost analysis tool that will be flexible and comprehensive enough to realistically analyze a wide variety of potential combined heat and power/hydrogen production scenarios Approach: Rely on the H2A discounted cash flow methodology to develop a new stationary systems model With the help of industry partners, develop and analyze a range of realistic case studies for tri-generation systems. National Renewable Energy Laboratory Innovation for Our Energy Future

340

Modeling of fission product release from HTR (high temperature reactor) fuel for risk analyses  

SciTech Connect

The US and FRG have developed methodologies to determine the performance of and fission product release from TRISO-coated fuel particles under postulated accident conditions. The paper presents a qualitative and quantitative comparison of US and FRG models. The models are those used by General Atomics (GA) and by the German Nuclear Research Center at Juelich (KFA/ISF). A benchmark calculation was performed for fuel temperatures predicted for the US Department of Energy sponsored Modular High Temperature Gas Cooled Reactor (MHTGR). Good agreement in the benchmark calculations supports the on-going efforts to verify and validate the independently developed codes of GA and KFA/ISF. This work was performed under the US/FRG Umbrella Agreement for Cooperation on Gas Cooled Reactor Development. 6 refs., 3 figs., 3 tabs.

Bolin, J.; Verfondern, K.; Dunn, T.; Kania, M.

1989-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" from the National Library of EnergyBeta (NLEBeta).
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341

Computer modeling of single-cell and multicell thermionic fuel elements  

SciTech Connect

Modeling efforts are undertaken to perform coupled thermal-hydraulic and thermionic analysis for both single-cell and multicell thermionic fuel elements (TFE). The analysis--and the resulting MCTFE computer code (multicell thermionic fuel element)--is a steady-state finite volume model specifically designed to analyze cylindrical TFEs. It employs an interactive successive overrelaxation solution technique to solve for the temperatures throughout the TFE and a coupled thermionic routine to determine the total TFE performance. The calculated results include temperature distributions in all regions of the TFE, axial interelectrode voltages and current densities, and total TFE electrical output parameters including power, current, and voltage. MCTFE-generated results compare experimental data from the single-cell Topaz-II-type TFE and multicell data from the General Atomics 3H5 TFE to benchmark the accuracy of the code methods.

Dickinson, J.W.; Klein, A.C. [Oregon State Univ., Corvallis, OR (United States). Dept. of Nuclear Engineering

1996-05-01T23:59:59.000Z

342

Urban airshed modeling of air quality impacts of alternative transportation fuel use in Los Angeles and Atlanta  

SciTech Connect

The main objective of NREL in supporting this study is to determine the relative air quality impact of the use of compressed natural gas (CNG) as an alternative transportation fuel when compared to low Reid vapor pressure (RVP) gasoline and reformulated gasoline (RFG). A table lists the criteria, air toxic, and greenhouse gas pollutants for which emissions were estimated for the alternative fuel scenarios. Air quality impacts were then estimated by performing photochemical modeling of the alternative fuel scenarios using the Urban Airshed Model Version 6.21 and the Carbon Bond Mechanism Version IV (CBM-IV) (Geary et al., 1988) Using this model, the authors examined the formation and transport of ozone under alternative fuel strategies for motor vehicle transportation sources for the year 2007. Photochemical modeling was performed for modeling domains in Los Angeles, California, and Atlanta, Georgia.

NONE

1997-12-01T23:59:59.000Z

343

A long term radiological risk model for plutonium-fueled and fission reactor space nuclear system  

SciTech Connect

This report describes the optimization of the RISK III mathematical model, which provides risk assessment for the use of a plutonium-fueled, fission reactor in space systems. The report discusses possible scenarios leading to radiation releases on the ground; distinctions are made for an intact reactor and a dispersed reactor. Also included are projected dose equivalents for various accident situations. 54 refs., 31 figs., 11 tabs. (TEM)

Bartram, B.W.; Dougherty, D.K.

1987-01-01T23:59:59.000Z

344

Survey Results and Analysis of the Cost and Efficiency of Various Operating Hydrogen Fueling Stations  

SciTech Connect

Existing Hydrogen Fueling Stations were surveyed to determine capital and operational costs. Recommendations for cost reduction in future stations and for research were developed.

Cornish, John

2011-03-05T23:59:59.000Z

345

Dragonfly Capital | Open Energy Information  

Open Energy Info (EERE)

Dragonfly Capital Dragonfly Capital Jump to: navigation, search Name Dragonfly Capital Place Charlotte, North Carolina Zip 28203 Sector Renewable Energy, Services Product Charlotte-based investment bank providing corporate finance and M&A advisory services to middle market companies, primarily in renewable energy Coordinates 35.2225°, -80.837539° 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":35.2225,"lon":-80.837539,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

346

Ardour Capital | Open Energy Information  

Open Energy Info (EERE)

Ardour Capital Ardour Capital Jump to: navigation, search Name Ardour Capital Investments LLC Address 350 5th ave Place New York, New York Zip 10118 Region Northeast - NY NJ CT PA Area Number of employees 11-50 Year founded 2002 Phone number 2123752950 Website http://www.ardourcapital.com Coordinates 40.74807°, -73.984959° 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":40.74807,"lon":-73.984959,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

347

Cascadia Capital | Open Energy Information  

Open Energy Info (EERE)

Cascadia Capital Cascadia Capital Jump to: navigation, search Name Cascadia Capital Address 701 Fifth Avenue Place Seattle, Washington Zip 98104 Region Pacific Northwest Area Product Investment bank focusing on cleantech deals Website http://www.cascadiacapital.com Coordinates 47.6044155°, -122.3298997° 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":47.6044155,"lon":-122.3298997,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

348

Fuel Guide Economy  

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

1 1 MODEL YEAR 2000 FUEL ECONOMY LEADERS IN POPULAR VEHICLE CLASSES Listed below are the vehicles with the highest fuel economy for the most popular classes, including both automatic and manual transmissions and gasoline and diesel vehicles. Please be aware that many of these vehicles come in a range of engine sizes and trim lines, resulting in different fuel economy values. Check the fuel economy guide or the fuel economy sticker on new vehicles to find the values for a particular version of a vehicle. CONTENTS MODEL YEAR 2000 FUEL ECONOMY LEADERS ................. 1 HOW TO USE THIS GUIDE ..................................................... 2 FUEL ECONOMY AND YOUR ANNUAL FUEL COSTS .......... 3 WHY FUEL ECONOMY IS IMPORTANT .................................

349

Solar Access to Public Capital | Department of Energy  

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

Solar Access to Public Capital Solar Access to Public Capital The Solar Access to Public Capital (SAPC) working group has developed standard residential lease and commercial power...

350

The Role of Capital Expenditures in Signalling Firm Value  

E-Print Network (OSTI)

and Corporate Capital Expenditure Announcements," PurdueTHE ROLE OF CAPITAL EXPENDITURES IN SIGNALLING FIRM VALUEAngeles THE ROLE OF CAPITAL EXPENDITURES IN SIGNALLING FIRM

Titman, Brett

1983-01-01T23:59:59.000Z

351

Exploratory fuel-cell research: I. Direct-hydrocarbon polymer-electrolyte fuel cell. II. Mathematical modeling of fuel-cell cathodes  

SciTech Connect

A strong need exists today for more efficient energy-conversion systems. Our reliance on limited fuel resources, such as petroleum for the majority of our energy needs makes it imperative that we utilize these resources as efficiently as possible. Higher-efficiency energy conversion also means less pollution, since less fuel is consumed and less exhaust created for the same energy output. Additionally, for many industrialized nations, such as the United States which must rely on petroleum imports, it is also imperative from a national-security standpoint to reduce the consumption of these precious resources. A substantial reduction of U.S. oil imports would result in a significant reduction of our trade deficit, as well as costly military spending to protect overseas petroleum resources. Therefore, energy-conversion devices which may utilize alternative fuels are also in strong demand. This paper describes research on fuel cells for transportation.

Perry, M.L.; McLarnon, F.R.; Newman, J.S.; Cairns, E.J.

1996-12-01T23:59:59.000Z

352

Improving alternative fuel utilization: detailed kinetic combustion...  

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

alternative fuel utilization: detailed kinetic combustion modeling & experimental testing Improving alternative fuel utilization: detailed kinetic combustion modeling &...

353

2015 Hydrogen Student Design Contest Challenges Students to Develop Innovative Hydrogen Fueling Station Business and Financing Models  

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

The Hydrogen Education Foundation announced the 11th annual Hydrogen Student Design Contest, which will challenge student teams to develop business and financing models for hydrogen fueling stations. Registration for the Contest is open until January 16, 2015.

354

Critical analysis of plume containment modeling in a thin heterogeneous unconfined aquifer: application to a bulk fuel storage terminal  

E-Print Network (OSTI)

The reported hydrocarbon contamination and subsequent consultant work at a bulk fuel storage terminal has instigated the need to critically analyze modeling techniques in thin, heterogeneous, unconfined aquifers. This study provides an aquifer...

Mejia, Karl Edward

1997-01-01T23:59:59.000Z

355

Integrated fuel performance and thermal-hydraulic sub-channel models for analysis of sodium fast reactors  

E-Print Network (OSTI)

Sodium Fast Reactors (SFR) show promise as an effective way to produce clean safe nuclear power while properly managing the fuel cycle. Accurate computer modeling is an important step in the design and eventual licensing ...

Fricano, Joseph William

2012-01-01T23:59:59.000Z

356

Three-dimensional Computational Fluid Dynamics (CFD) modeling of dry spent nuclear fuel storage canisters  

SciTech Connect

One of the interim storage configurations being considered for aluminum-clad foreign research reactor fuel, such as the Material and Testing Reactor (MTR) design, is in a dry storage facility. To support design studies of storage options, a computational and experimental program was conducted at the Savannah River Site (SRS). The objective was to develop computational fluid dynamics (CFD) models which would be benchmarked using data obtained from a full scale heat transfer experiment conducted in the SRS Experimental Thermal Fluids Laboratory. The current work documents the CFD approach and presents comparison of results with experimental data. CFDS-FLOW3D (version 3.3) CFD code has been used to model the 3-dimensional convective velocity and temperature distributions within a single dry storage canister of MTR fuel elements. For the present analysis, the Boussinesq approximation was used for the consideration of buoyancy-driven natural convection. Comparison of the CFD code can be used to predict reasonably accurate flow and thermal behavior of a typical foreign research reactor fuel stored in a dry storage facility.

Lee, S.Y.

1997-06-01T23:59:59.000Z

357

Modeling and simulation of hydrogen behavior in Zircaloy-4 fuel cladding  

SciTech Connect

As a result of corrosion during normal operation in nuclear reactors, hydrogen can enter the zirconium-alloy fuel cladding and precipitate as brittle hydride platelets, which can severely degrade the cladding ductility. Under a heterogeneous temperature distribution, hydrides tend to accumulate in the colder areas, creating local spots of degraded cladding that can favor crack initiation. Therefore, an estimation of the local hydride distribution is necessary to help predict the risk of cladding failure. The hydride distribution is governed by three competing phenomena. Hydrogen in solid solution diffuses under a concentration gradient due to Fick’s law and under a temperature gradient due to the Soret effect. Precipitation of the hydride platelets occurs once the hydrogen solubility limit is reached. A model of these phenomena was implemented in the 3D fuel performance code BISON in order to calculate the hydrogen distribution for arbitrary geometries, such as a nuclear fuel rod, and is now available for BISON users. Simulations have been performed on simple geometries to validate the model and its implementation. The simulations predict that before precipitation occurs, hydrogen tends to accumulate in the colder spots due to the Soret effect. Once the solubility limit is reached, hydrogen precipitates and forms a rim close to the outer edge of the cladding. The simulations also predict that the reactor shut down has little effect on already precipitated hydrides but causes the remaining hydrogen to precipitate homogeneously into hydrides.

Jason D. Hales; Various

2014-09-01T23:59:59.000Z

358

Waste Classification based on Waste Form Heat Generation in Advanced Nuclear Fuel Cycles Using the Fuel-Cycle Integration and Tradeoffs (FIT) Model - 13413  

SciTech Connect

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. This analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. The value of separation of heat-generating fission products and actinides in different fuel cycles is discussed. It was shown that the benefits of reducing the short-term fission-product heat load of waste destined for geologic disposal are neglected under the current source-based radioactive waste classification system, and that it is useful to classify waste streams based on how favorable the impact of interim storage is in increasing repository capacity. (authors)

Djokic, Denia [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States)] [Department of Nuclear Engineering, University of California - Berkeley, 4149 Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, Steven J.; Pincock, Layne F.; Soelberg, Nick R. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)] [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

359

Human Capital Management | Department of Energy  

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

Human Capital Management Human Capital Management Human Capital Management The strategic management of human capital requires comprehensive planning and analysis in order to develop, implement, and evaluate programs that support every facet of employee work life. DOE human capital initiatives are designed to support continuous improvement and accountability in accordance with the DOE Human Capital Management Accountability Program (HCMAP), which is an internal DOE audit process of servicing human resources offices and addresses those documents that require coordination with the Office of the Chief Human Capital Officer before being implemented; Human Resource Directors; the Department's 5-year Strategic Human Capital Management Plan; Departmental element workforce plans; the Department's personnel accountability program that is used

360

Mont Vista Capital LLC | Open Energy Information  

Open Energy Info (EERE)

Vista Capital LLC Vista Capital LLC Jump to: navigation, search Name Mont Vista Capital LLC Place New York, New York Zip 10167 Sector Services Product Mont Vista Capital is a leading global provider of services to clients in the alternative energy industry. Mont Vista also seeks proprietary trading and growth equity opportunities in alternative energy markets which add value for our stakeholders. References Mont Vista Capital LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Mont Vista Capital LLC is a company located in New York, New York . References ↑ "Mont Vista Capital LLC" Retrieved from "http://en.openei.org/w/index.php?title=Mont_Vista_Capital_LLC&oldid=348916"

Note: This page contains sample records for the topic "fuels model capital" 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

Essays on information technology and intangible capital  

E-Print Network (OSTI)

This thesis consists of three essays related to information technology and intangible capital. The first essay, "Valuing IT-Related Intangible Capital," examines the value of intangible assets in the firm. Using a panel ...

Saunders, Adam

2011-01-01T23:59:59.000Z

362

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

The short-term forecasting of capital expenditure presents one of the most difficult problems ... reason is that year-to-year fluctuations in capital expenditure are extremely wide. Some simple methods which...

W. Gerstenberger

1977-01-01T23:59:59.000Z

363

Capital controls and foreign direct investment  

E-Print Network (OSTI)

This paper examines the effect of three types of capital control policies on FDI (a) the existence of multiple exchange rates; (b) restrictions on capital account, and (c) restrictions on the repatriation of export proceeds. ...

Asiedu, Elizabeth; Lien, Donald

2004-03-01T23:59:59.000Z

364

Green Capital Management | Open Energy Information  

Open Energy Info (EERE)

Green Capital Management Place: London, United Kingdom Zip: SW10 0BB Sector: Services Product: The Green Capital Management Fund LP is a private equity fund dedicated to investing...

365

Model for Gasification of Residual Fuels from Petroleum Refineries Using the Equation Oriented (EO) Approach  

Science Journals Connector (OSTI)

An attractive way to use residual fuels from petroleum refineries (vacuum residue and petcoke) is their gasification to produce syngas, which contains mainly H2, CO and small quantities of CH4, CO2, as well as nitrogen and sulfur compounds. ... Vacuum residue and petroleum coke (petcoke) are, respectively, heavy liquid and solid byproducts from crude oil refining, they are often used as fuel in boilers for power production, natural gas has been more commonly used in the past few years in power generation; reducing the market for both vacuum residue and petcoke. ... Regarding petroleum refinery residuals Uson et al.(1) developed a model for cogasification of coal, petcoke and biomass, based on reaction kinetics. ...

Jorge E. Marin-Sanchez; Miguel A. Rodriguez-Toral

2010-07-29T23:59:59.000Z

366

Radiation Damage in Nuclear Fuel for Advanced Burner Reactors: Modeling and Experimental Validation  

SciTech Connect

The consortium has completed its existence and we are here highlighting work and accomplishments. As outlined in the proposal, the objective of the work was to advance the theoretical understanding of advanced nuclear fuel materials (oxides) toward a comprehensive modeling strategy that incorporates the different relevant scales involved in radiation damage in oxide fuels. Approaching this we set out to investigate and develop a set of directions: 1) Fission fragment and ion trajectory studies through advanced molecular dynamics methods that allow for statistical multi-scale simulations. This work also includes an investigation of appropriate interatomic force fields useful for the energetic multi-scale phenomena of high energy collisions; 2) Studies of defect and gas bubble formation through electronic structure and Monte Carlo simulations; and 3) an experimental component for the characterization of materials such that comparisons can be obtained between theory and experiment.

Niels Gronbech Jensen; Mark Asta; Nigel Browning'Vidvuds Ozolins; Axel van de Walle; Christopher Wolverton

2011-12-29T23:59:59.000Z

367

Demographic structure and capital accumulation  

E-Print Network (OSTI)

the paper by Abel [1] on demographic growth and stock prices. Preprint submitted to Elsevier Science 5 rate. Using time series from the United States, Canada and the United Kingdom for the last seventy to a birth-rate increase is to reduce consumption in order to keep capital per capita constant. However

Paris-Sud XI, Université de

368

Fuel cycle modelling of open cycle thorium-fuelled nuclear energy systems  

Science Journals Connector (OSTI)

Abstract In this study, we have sought to determine the advantages, disadvantages, and viability of open cycle thorium–uranium-fuelled (Th–U-fuelled) nuclear energy systems. This has been done by assessing three such systems, each of which requires uranium enriched to ?20% 235U, in comparison to a reference uranium-fuelled (U-fuelled) system over various performance indicators, spanning material flows, waste composition, economics, and proliferation resistance. The values of these indicators were determined using the UK National Nuclear Laboratory’s fuel cycle modelling code ORION. This code required the results of lattice-physics calculations to model the neutronics of each nuclear energy system, and these were obtained using various nuclear reactor physics codes and burn-up routines. In summary, all three Th–U-fuelled nuclear energy systems required more separative work capacity than the equivalent benchmark U-fuelled system, with larger levelised fuel cycle costs and larger levelised cost of electricity. Although a reduction of ?6% in the required uranium ore per kWh was seen for one of the Th–U-fuelled systems compared to the reference U-fuelled system, the other two Th–U-fuelled systems required more uranium ore per kWh than the reference. Negligible advantages and disadvantages were observed for the amount and the properties of the spent nuclear fuel (SNF) generated by the systems considered. Two of the Th–U-fuelled systems showed some benefit in terms of proliferation resistance of the SNF generated. Overall, it appears that there is little merit in incorporating thorium into nuclear energy systems operating with open nuclear fuel cycles.

S.F. Ashley; B.A. Lindley; G.T. Parks; W.J. Nuttall; R. Gregg; K.W. Hesketh; U. Kannan; P.D. Krishnani; B. Singh; A. Thakur; M. Cowper; A. Talamo

2014-01-01T23:59:59.000Z

369

EM Contractors for Capital Asset Projects  

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

Read the EM Contractors for Capital Asset Projects list, which includes the project name, number, site, and contractor.

370

Capital Expenditure Policy Final V1.0 Approved 110613 -1 -Capital Expenditure  

E-Print Network (OSTI)

Capital Expenditure Policy Final V1.0 Approved 110613 - 1 - Capital Expenditure Policy Version and Risk Committee Audit and Risk Committee: 11 June 2013 (Draft v.11) #12;Capital Expenditure Policy Final on intranet To be referenced during Capital Expenditure training As approved by Audit & Risk Committee 11

Chittka, Lars

371

Modeling Gas-Phase Transport in Polymer-Electrolyte Fuel Cells  

E-Print Network (OSTI)

Energy, Office of Hydrogen, Fuel Cell, and InfrastructureIN POLYMER-ELECTROLYTE FUEL CELLS A. Z. Weber and J. Newmandiffusion of gases in a fuel-cell gas-diffusion layer are

Weber, A.Z.; Newman, J.

2006-01-01T23:59:59.000Z

372

Homogenization of a Catalyst Layer Model for Periodically Distributed Pore Geometries in PEM Fuel Cells  

Science Journals Connector (OSTI)

......nanostructured thin film catalysts for PEM fuel cells. Journal of Power Sources...Properties and Performance. PEM Fuel Cell Electrocatalysis and Catalyst...Electrochemical Energy Storage Systems: Batteries, Supercapacitors and Fuel Cells. New Carbon Based Materials......

Markus Schmuck; Peter Berg

2013-01-01T23:59:59.000Z

373

Capturing the Impact of Fuel Price on Jet Aircraft Operating Costs with Engineering and Econometric Models  

E-Print Network (OSTI)

Capturing the Impact of Fuel Price on Jet Aircraft OperatingCapturing the Impact of Fuel Price on Jet Aircraft Operatingare in part due to fuel price uncertainty. To address this

Smirti Ryerson, Megan; Hansen, Mark

2009-01-01T23:59:59.000Z

374

Modeling and Optimization of PEMFC Systems and its Application to Direct Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

and Control for PEM Fuel Cell Stack System, Proceedings ofmodel for an automotive PEM fuel cell system with imbedded 1Friedman and R.M. Moore, PEM Fuel Cell System Optimization,

Zhao, Hengbing; Burke, Andy

2008-01-01T23:59:59.000Z

375

Using a Quasipotential Transformation for Modeling Diffusion Media in Polymer-Electrolyte Fuel Cells  

E-Print Network (OSTI)

of Performance of PEM Fuel Cells with Conventional andLayers of the Cathode of a PEM Fuel Cell , Journal of thea Microporous Sublayer for PEM Fuel Cells , Journal of Power

Weber, Adam Z.

2008-01-01T23:59:59.000Z

376

A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network (OSTI)

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S.; Golob, Thomas F.; Ren, Weiping

1996-01-01T23:59:59.000Z

377

A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network (OSTI)

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S; Golob, Thomas F; Ren, Weiping

1996-01-01T23:59:59.000Z

378

Improved Modeling and Understanding of Diffusion-Media Wettability on Polymer-Electrolyte-Fuel-Cell Performance  

SciTech Connect

A macroscopic-modeling methodology to account for the chemical and structural properties of fuel-cell diffusion media is developed. A previous model is updated to include for the first time the use of experimentally measured capillary pressure -- saturation relationships through the introduction of a Gaussian contact-angle distribution into the property equations. The updated model is used to simulate various limiting-case scenarios of water and gas transport in fuel-cell diffusion media. Analysis of these results demonstrate that interfacial conditions are more important than bulk transport in these layers, where the associated mass-transfer resistance is the result of higher capillary pressures at the boundaries and the steepness of the capillary pressure -- saturation relationship. The model is also used to examine the impact of a microporous layer, showing that it dominates the response of the overall diffusion medium. In addition, its primary mass-transfer-related effect is suggested to be limiting the water-injection sites into the more porous gas-diffusion layer.

Weber, Adam

2010-03-05T23:59:59.000Z

379

Identifying the optimal capital structure for a second stage growth company using mezzanine financing  

Science Journals Connector (OSTI)

This paper demonstrates how mezzanine financing can be used to minimise the weighted average cost of capital for a second stage growth firm waiting to obtain equity capital from an IPO. A model is provided that allows entrepreneurs to fit their available mezzanine financing cost structure to a continuous function to determine the appropriate amount of mezzanine financing for planning purposes.

John M. Clark; Randy I. Anderson

2003-01-01T23:59:59.000Z

380

Kinetic models comparison for steam gasification of different nature fuel chars  

Science Journals Connector (OSTI)

The reactivity in steam of five different types of solid fuels (two coals, two types of biomass and a petcoke) has been studied. The fuel chars...

J. Fermoso; B. Arias; C. Pevida; M. G. Plaza…

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "fuels model capital" 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

Incorporating stakeholders' perspectives into models of new technology diffusion: The case of fuel-cell vehicles  

E-Print Network (OSTI)

include on-board hydrogen storage and fuel cell durability.drive Hydrogen production Hydrogen storage Hydrogen fuelingnecessary are on-board hydrogen storage and fuel cells. The

Collantes, Gustavo O

2007-01-01T23:59:59.000Z

382

A Two Dimensional Model of a Direct Propane Fuel Cell with an Interdigitated Flow Field .  

E-Print Network (OSTI)

??Increasing environmental concerns as well as diminishing fossil fuel reserves call for a new generation of energy conversion technologies. Fuel cells, which convert the chemical… (more)

Khakdaman, Hamidreza

2012-01-01T23:59:59.000Z

383

Comprehensive, Consistent and Systematic Approach to the Mathematical Modeling of PEM Fuel Cells.  

E-Print Network (OSTI)

??Polymer electrolyte membrane (PEM) fuel cells are a promising zero-emission power source for transportation applications. An important tool for advancing PEM fuel cell technology is… (more)

Baschuk, Jeffrey

2006-01-01T23:59:59.000Z

384

Modeling and Analysis of Air Breathing Hydrogen-Based PEM Fuel Cells.  

E-Print Network (OSTI)

??Polymer Electrolyte Membrane (PEM) fuel cells present an opportunity to transition to cleaner alternative energy sources such as hydrogen. The use of fuel cells in… (more)

Roos, Warren C.

2011-01-01T23:59:59.000Z

385

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

AND FUEL CONSUMPTION FOR DIESEL - POWERED NONROAD FORKLIFT ENGINES ,AND FUEL CONSUMPTION FOR DIESEL - POWERED NONROAD FORKLIFT ENGINES ,

Delucchi, Mark

2003-01-01T23:59:59.000Z

386

Mr. Walter Huber, Director Capital Improvements Division National Capital Region  

Office of Legacy Management (LM)

Walter Huber, Director Walter Huber, Director Capital Improvements Division National Capital Region 7th & D Streets, N.W. Washington, D.C. 20407 Dear Mr. Huber: As you may know, the Department of Energy (DOE) is evaluating the radiological condition of sites that were utilized under the Manhattan Engineer District (MED) and the Atomic Energy Commission (AEC) during the early years of nuclear development to determine whether they need remedial action and whether the Department has authority to perform such action. General Services Administration (GSA) was contacted through correspondence with Mr. John P. Allen, Project Director, Special Projects Division of GSA, that the former National Bureau of Standards (NBS) building on Van Ness Street was identified as one such site. This building was used by NBS

387

A Generalized Method for Estimation of Industrial Energy Savings from Capital and Behavioral Programs  

E-Print Network (OSTI)

methodology was developed to capture total energy savings. This model allows the separation of capital savings to yield savings uniquely attributable to the behavioral program. The intervention model and the resulting calculated savings were both validated...

Luneski, R. D.

2011-01-01T23:59:59.000Z

388

Advanced coal-fueled gas turbine systems  

SciTech Connect

Several technology advances since the early coal-fueled turbine programs that address technical issues of coal as a turbine fuel have been developed in the early 1980s: Coal-water suspensions as fuel form, improved methods for removing ash and contaminants from coal, staged combustion for reducing NO{sub x} emissions from fuel-bound nitrogen, and greater understanding of deposition/erosion/corrosion and their control. Several Advanced Coal-Fueled Gas Turbine Systems programs were awarded to gas turbine manufacturers for for components development and proof of concept tests; one of these was Allison. Tests were conducted in a subscale coal combustion facility and a full-scale facility operating a coal combustor sized to the Allison Model 501-K industrial turbine. A rich-quench-lean (RQL), low nitrogen oxide combustor design incorporating hot gas cleanup was developed for coal fuels; this should also be applicable to biomass, etc. The combustor tests showed NO{sub x} and CO emissions {le} levels for turbines operating with natural gas. Water washing of vanes from the turbine removed the deposits. Systems and economic evaluations identified two possible applications for RQL turbines: Cogeneration plants based on Allison 501-K turbine (output 3.7 MW(e), 23,000 lbs/hr steam) and combined cycle power plants based on 50 MW or larger gas turbines. Coal-fueled cogeneration plant configurations were defined and evaluated for site specific factors. A coal-fueled turbine combined cycle plant design was identified which is simple, compact, and results in lower capital cost, with comparable efficiency and low emissions relative to other coal technologies (gasification, advanced PFBC).

Wenglarz, R.A.

1994-08-01T23:59:59.000Z

389

Alternative Fuels Data Center  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Rhode Island Incentives and Laws Rhode Island Incentives and Laws The following is a list of expired, repealed, and archived incentives, laws, regulations, funding opportunities, or other initiatives related to alternative fuels and vehicles, advanced technologies, or air quality. Alternative Fuel Vehicle (AFV) Loans Expired: 04/10/2009 The Rhode Island Office of Energy Resources offers loans for up to five years, with low administrative fees, to state agencies and municipal governments to cover the incremental cost of purchasing original equipment manufactured AFVs. Alternative Fuel Vehicle (AFV) and Fueling Infrastructure Tax Credit Expired: 01/01/2008 The Alternative Fueled Vehicle and Filling Station Tax Credit entitles taxpayers to a tax credit equal to 50% of the capital, labor, and equipment

390

Economic Analysis of Hydrogen Energy Station Concepts: Are "H 2E-Stations" a Key Link to a Hydrogen Fuel Cell Vehicle Infrastructure?  

E-Print Network (OSTI)

+ inverter) Fuel Cell Stack Only Cost ($/kW) Reformer Cost (Capital Cost ($/kWh) Maintenance and fuel cell stackof Ref. Cost for FCVs Fuel Cell Cost ($kW) (stack + aux

Lipman, Timothy E.; Edwards, Jennifer L.; Kammen, Daniel M.

2002-01-01T23:59:59.000Z

391

Development of Improved Models and Designs for Coated-Particle Gas Reactor Fuels (I-NERI Annual Report)  

SciTech Connect

The objective of this INERI project is to develop improved fuel behavior models for gas reactor coated particle fuels and to develop improved coated-particle fuel designs that can be used reliably at very high burnups and potentially in fast gas-cooled reactors. Thermomechanical, thermophysical, and physiochemical material properties data were compiled by both the US and the French and preliminary assessments conducted. Comparison between U.S. and European data revealed many similarities and a few important differences. In all cases, the data needed for accurate fuel performance modeling of coated particle fuel at high burnup were lacking. The development of the INEEL fuel performance model, PARFUME, continued from earlier efforts. The statistical model being used to simulate the detailed finite element calculations is being upgraded and improved to allow for changes in fuel design attributes (e.g. thickness of layers, dimensions of kernel) as well as changes in important material properties to increase the flexibility of the code. In addition, modeling of other potentially important failure modes such as debonding and asphericity was started. A paper on the status of the model was presented at the HTR-2002 meeting in Petten, Netherlands in April 2002, and a paper on the statistical method was submitted to the Journal of Nuclear Material in September 2002. Benchmarking of the model against Japanese and an older DRAGON irradiation are planned. Preliminary calculations of the stresses in a coated particle have been calculated by the CEA using the ATLAS finite element model. This model and the material properties and constitutive relationships will be incorporated into a more general software platform termed Pleiades. Pleiades will be able to analyze different fuel forms at different scales (from particle to fuel body) and also handle the statistical variability in coated particle fuel. Diffusion couple experiments to study Ag and Pd transport through SiC were conducted. Analysis and characterization of the samples continues. Two active transport mechanisms are proposed: diffusion in SiC and release through SiC cracks or another, as yet undetermined, path. Silver concentration profiles determined by XPS analysis suggest diffusion within the SiC layer, most likely dominated by grain boundary diffusion. However, diffusion coefficients calculated from mass loss measurements suggest a much faster release path, postulated as small cracks or flaws that provide open paths with little resistance to silver migration. Work is ongoing to identify and characterize this path. Work on Pd behavior has begun and will continue next year.

Petti, David Andrew; Maki, John Thomas; Languille, Alain; Martin, Philippe; Ballinger, Ronald

2002-11-01T23:59:59.000Z

392

Using a Quasipotential Transformation for Modeling Diffusion Media inPolymer-Electrolyte Fuel Cells  

SciTech Connect

In this paper, a quasipotential approach along with conformal mapping is used to model the diffusion media of a polymer-electrolyte fuel cell. This method provides a series solution that is grid independent and only requires integration along a single boundary to solve the problem. The approach accounts for nonisothermal phenomena, two-phase flow, correct placement of the electronic potential boundary condition, and multilayer media. The method is applied to a cathode diffusion medium to explore the interplay between water and thermal management and performance, the impact of the rib-to-channel ratio, and the existence of diffusion under the rib and flooding phenomena.

Weber, Adam Z.; Newman, John

2008-08-29T23:59:59.000Z

393

Birch Tree Capital | Open Energy Information  

Open Energy Info (EERE)

Tree Capital Tree Capital Jump to: navigation, search Name Birch Tree Capital Place Framingham, Massachusetts Zip 1701 Sector Renewable Energy Product Financial advisory service with a project finance focus that has investor as well a project developer clients. Specialise in renewable power projects generating Federal tax credits and on-site cogeneration projects. References Birch Tree Capital[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Birch Tree Capital is a company located in Framingham, Massachusetts . References ↑ "Birch Tree Capital" Retrieved from "http://en.openei.org/w/index.php?title=Birch_Tree_Capital&oldid=342882" Categories: Clean Energy Organizations

394

Green Energy Capital Partners | Open Energy Information  

Open Energy Info (EERE)

Capital Partners Capital Partners Jump to: navigation, search Name Green Energy Capital Partners Place Plymouth Meeting, Pennsylvania Zip 19462 Sector Wind energy Product Pennsylvania-based project developer, founded in 2007. Planning PV as well as wind projects in the state as well as overseas. References Green Energy Capital Partners[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Green Energy Capital Partners is a company located in Plymouth Meeting, Pennsylvania . References ↑ "Green Energy Capital Partners" Retrieved from "http://en.openei.org/w/index.php?title=Green_Energy_Capital_Partners&oldid=346013" Categories: Clean Energy Organizations Companies

395

Eco Capital LLC | Open Energy Information  

Open Energy Info (EERE)

Capital LLC Capital LLC Jump to: navigation, search Name Eco Capital LLC Place New York, New York Zip 10166 Sector Carbon, Renewable Energy Product New York-based advisory and investment firm prioritizing activity in renewable energy, clean technology and carbon finance. References Eco Capital LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Eco Capital LLC is a company located in New York, New York . References ↑ "Eco Capital LLC" Retrieved from "http://en.openei.org/w/index.php?title=Eco_Capital_LLC&oldid=344441" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link

396

Viresco International Capital Management | Open Energy Information  

Open Energy Info (EERE)

Viresco International Capital Management Viresco International Capital Management Jump to: navigation, search Name Viresco International Capital Management Place San Diego, California Zip 92130 Product San Diego-based hedge fund, who recently initiated a fund that will prioritize activity towards clean technology - Viresco Opportunities Global Fund. References Viresco International Capital Management[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Viresco International Capital Management is a company located in San Diego, California . References ↑ "Viresco International Capital Management" Retrieved from "http://en.openei.org/w/index.php?title=Viresco_International_Capital_Management&oldid=352843

397

Climate Human Capital | Open Energy Information  

Open Energy Info (EERE)

Climate Human Capital Climate Human Capital Jump to: navigation, search Name Climate Human Capital Place London, United Kingdom Zip W1K 6NG Sector Carbon, Renewable Energy, Services Product Green executive search company, listed in London's PLUS marketplace since 30 MArch 2010, focusing on the following target sectors: Carbon Markets, Environmental Sciences, Research and Advisory, Financial Services, Renewable Energy Generation and Policy. References Climate Human Capital[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Climate Human Capital is a company located in London, United Kingdom . References ↑ "Climate Human Capital" Retrieved from "http://en.openei.org/w/index.php?title=Climate_Human_Capital&oldid=343709

398

Quadrant Capital Advisors Inc | Open Energy Information  

Open Energy Info (EERE)

Quadrant Capital Advisors Inc Quadrant Capital Advisors Inc Jump to: navigation, search Name Quadrant Capital Advisors Inc. Place New York, New York Zip 10022 Sector Hydro, Wind energy Product US based Private Equity investor in small hydro and wind, mostly in LatAm. References Quadrant Capital Advisors Inc.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Quadrant Capital Advisors Inc. is a company located in New York, New York . References ↑ "Quadrant Capital Advisors Inc." Retrieved from "http://en.openei.org/w/index.php?title=Quadrant_Capital_Advisors_Inc&oldid=350132" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

399

Haywood Dorland Energy Capital | Open Energy Information  

Open Energy Info (EERE)

Dorland Energy Capital Dorland Energy Capital Jump to: navigation, search Name Haywood Dorland Energy Capital Place New York, New York Sector Renewable Energy Product New York-based private equity and debt firm that invests in renewable energy companies and projects. References Haywood Dorland Energy Capital[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Haywood Dorland Energy Capital is a company located in New York, New York . References ↑ "Haywood Dorland Energy Capital" Retrieved from "http://en.openei.org/w/index.php?title=Haywood_Dorland_Energy_Capital&oldid=346399" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

400

Plane Tree Capital LLP | Open Energy Information  

Open Energy Info (EERE)

Plane Tree Capital LLP Plane Tree Capital LLP Jump to: navigation, search Name Plane Tree Capital LLP Place London, United Kingdom Zip W1J 8DY Sector Carbon Product London-based investment management firm established in to provide investors with well managed exposure to the clean energy and carbon sectors. References Plane Tree Capital LLP[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Plane Tree Capital LLP is a company located in London, United Kingdom . References ↑ "Plane Tree Capital LLP" Retrieved from "http://en.openei.org/w/index.php?title=Plane_Tree_Capital_LLP&oldid=349778" Categories: Clean Energy Organizations Companies Organizations Stubs What links here

Note: This page contains sample records for the topic "fuels model capital" 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

Spent nuclear fuel as a waste form for geologic disposal: Assessment and recommendations on data and modeling needs  

SciTech Connect

This study assesses the status of knowledge pertinent to evaluating the behavior of spent nuclear fuel as a waste form in geologic disposal systems and provides background information that can be used by the DOE to address the information needs that pertain to compliance with applicable standards and regulations. To achieve this objective, applicable federal regulations were reviewed, expected disposal environments were described, the status of spent-fuel modeling was summarized, and information regarding the characteristics and behavior of spent fuel was compiled. This compiled information was then evaluated from a performance modeling perspective to identify further information needs. A number of recommendations were made concerning information still needed to enhance understanding of spent-fuel behavior as a waste form in geologic repositories. 335 refs., 22 figs., 44 tabs.

Van Luik, A.E.; Apted, M.J.; Bailey, W.J.; Haberman, J.H.; Shade, J.S.; Guenther, R.E.; Serne, R.J.; Gilbert, E.R.; Peters, R.; Williford, R.E.

1987-09-01T23:59:59.000Z

402

Foundation Capital.txt - Notepad  

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

Foundation Capital.txt Foundation Capital.txt From: Michael Bauer [MBauer@FoundationCap.com] Sent: Thursday, April 16, 2009 11:20 AM To: GC-62 Subject: Fed Register comments Dear Sir or Lady, Per Wendolyn Holland's request, here are my comments: (i) What improvements to the existing transactions (e.g. CRADAs, WFOs, User Agreements, etc.) would you suggest that DOE consider? Most obvious problem is cost of resources at national labs, which is much higher than at universities and other institutions due to imputed overhead. These costs should be reviewed to find whether they're a) really reflective of real costs at the labs, b)whether they truly reflect unique capabilities that justify the higher cost vs. comparable institutions. It's telling that many of the labs themselves tend to outsource certain research

403

Valuation of Capital Structure using Simulation Yevgeny Goncharov  

E-Print Network (OSTI)

] and Leland [L] we model securities in capital structure as derivatives on the asset value of the company bankruptcies that hurt many financial institutions( En- ron and MCI) and led to a search for better techniques different stature if the company goes bankrupt or liquidates. The division of Company property

Goncharov, Yevgeny

404

Development and Validation of a Two-phase, Three-dimensional Model for PEM Fuel Cells  

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

Presented at the Department of Energy Fuel Cell Projects Kickoff Meeting, September 1 – October 1, 2009

405

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities  

Science Journals Connector (OSTI)

In the current uncertain context that affects both the world economy and the energy sector, with the rapid increase in the prices of oil and gas and the very unstable political situation that affects some of the largest raw materials’ producers, there is a need for developing efficient and powerful quantitative tools that allow to model and forecast fossil fuel prices, CO2 emission allowances prices as well as electricity prices. This will improve decision making for all the agents involved in energy issues. Although there are papers focused on modelling fossil fuel prices, CO2 prices and electricity prices, the literature is scarce on attempts to consider all of them together. This paper focuses on both building a multivariate model for the aforementioned prices and comparing its results with those of univariate ones, in terms of prediction accuracy (univariate and multivariate models are compared for a large span of days, all in the first 4 months in 2011) as well as extracting common features in the volatilities of the prices of all these relevant magnitudes. The common features in volatility are extracted by means of a conditionally heteroskedastic dynamic factor model which allows to solve the curse of dimensionality problem that commonly arises when estimating multivariate GARCH models. Additionally, the common volatility factors obtained are useful for improving the forecasting intervals and have a nice economical interpretation. Besides, the results obtained and methodology proposed can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

Carolina García-Martos; Julio Rodríguez; María Jesús Sánchez

2013-01-01T23:59:59.000Z

406

Detailed chemical kinetic models for large n-alkanes and iso-alkanes found in conventional and F-T diesel fuels  

SciTech Connect

n-Hexadecane and 2,2,4,4,6,8,8-heptamethylnonane represent the primary reference fuels for diesel that are used to determine cetane number, a measure of the ignition property of diesel fuel. With the development of chemical kinetics models for both primary reference fuels, a new capability is now available to model diesel fuel ignition. Additionally, we have developed chemical kinetic models for a whole series of large n-alkanes and a large iso-alkane to represent these chemical classes in fuel surrogates for conventional and future fuels. These chemical kinetic models are used to predict the effect of the aforementioned fuel components on ignition characteristics under conditions found in internal combustion engines.

Westbrook, C K; Pitz, W J; Mehl, M; Curran, H J

2009-03-09T23:59:59.000Z

407

Environmental Aspects of Advanced Nuclear Fuel Cycles: Parametric Modeling and Preliminary Analysis  

E-Print Network (OSTI)

........................................................... 10 2 Simplified schematic of the once-through open fuel cycle .................................. 12 3 Simplified schematic of the plutonium-burning fuel cycle .................................. 13 4 Simplified schematic of the actinide... ..................................................... 23 7 Material flow for the plutonium-burning fuel cycle, year 0 ................................. 24 8 Material flow for the plutonium-burning fuel cycle, year 40 ............................... 25 9 Material flow for the actinide-burning fuel...

Yancey, Kristina D.

2010-07-14T23:59:59.000Z

408

Model based detection of hydrogen leaks in a fuel cell stack Ari Ingimundarson and Anna G. Stefanopoulou and Denise McKay  

E-Print Network (OSTI)

Model based detection of hydrogen leaks in a fuel cell stack Ari Ingimundarson and Anna G. Stefanopoulou and Denise McKay Abstract-- Hydrogen leaks are potentially dangerous faults in fuel cell systems detection, leak detection, hydrogen leak- age. I. INTRODUCTION A common safety concern for fuel cell systems

Stefanopoulou, Anna

409

Steady- and transient-state analyses of fully ceramic microencapsulated fuel loaded reactor core via two-temperature homogenized thermal-conductivity model  

Science Journals Connector (OSTI)

Abstract Fully ceramic microencapsulated (FCM) fuel, a type of accident-tolerant fuel (ATF), consists of TRISO particles randomly dispersed in a SiC matrix. In this study, for a thermal analysis of the FCM fuel with such a high heterogeneity, a two-temperature homogenized thermal-conductivity model was applied by the authors. This model provides separate temperatures for the fuel-kernels and the SiC matrix. It also provides more realistic temperature profiles than those of harmonic- and volumetric-average thermal conductivity models, which are used for thermal analysis of a fuel element in \\{VHTRs\\} having a composition similar to the FCM fuel, because such models are unable to provide the fuel-kernel and graphite matrix temperatures separately. In this study, coupled with a neutron diffusion model, a FCM fuel-loaded reactor core is analyzed via a two-temperature homogenized thermal-conductivity model at steady- and transient-states. The results are compared to those from harmonic- and volumetric-average thermal conductivity models, i.e., we compare keff eigenvalues, power distributions, and temperature profiles in the hottest single-channel at steady-state. At transient-state, we compare total powers, reactivity, and maximum temperatures in the hottest single-channel obtained by the different thermal analysis models. The different thermal analysis models and the availability of fuel-kernel temperatures in the two-temperature homogenized thermal-conductivity model for Doppler temperature feedback cause significant differences as revealed by comparisons.

Yoonhee Lee; Nam Zin Cho

2015-01-01T23:59:59.000Z

410

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

-constrained world. Long-run simulations were created using CIMS, a hybrid energy-economy model supply submodel was built to simulate economies of scale in infrastructure. Capital costs, technology performance, infrastructure, fuel prices, and other conditions were varied in the simulations. All scenarios

411

Modeling the natural attenuation of benzene in groundwater impacted by ethanol-blended fuels: Effect of ethanol content  

E-Print Network (OSTI)

Modeling the natural attenuation of benzene in groundwater impacted by ethanol-blended fuels: Effect of ethanol content on the lifespan and maximum length of benzene plumes Diego E. Gomez1 and Pedro 10 March 2009. [1] A numerical model was used to evaluate how the concentration of ethanol

Alvarez, Pedro J.

412

Microfluidic Microbial Fuel Cells for Microstructure Interrogations  

E-Print Network (OSTI)

Model of hydrogen fuel cell kinetic losses includingschematic of typical hydrogen fuel cell performancephase factors on hydrogen fuel cell theoretical efficiency,

Parra, Erika Andrea

2010-01-01T23:59:59.000Z

413

Thermoeconomic Modeling and Parametric Study of Hybrid Solid Oxide Fuel Cell â Gas Turbine â Steam Turbine Power Plants Ranging from 1.5 MWe to 10 MWe.  

E-Print Network (OSTI)

??Detailed thermodynamic, kinetic, geometric, and cost models are developed, implemented, and validated for the synthesis/design and operational analysis of hybrid solid oxide fuel cell (SOFC)… (more)

Arsalis, Alexandros

2007-01-01T23:59:59.000Z

414

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

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

This report prepared by the Lawrence Berkeley National Laboratory describes a total cost of ownership model for emerging applications in stationary fuel cell systems.

415

A robust approach to battery fuel gauging, part I: Real time model identification  

Science Journals Connector (OSTI)

Abstract In this paper, the first of a series of papers on battery fuel gauge (BFG), we present a real time parameter estimation strategy for robust state of charge (SOC) tracking. The proposed parameter estimation scheme has the following novel features: it models hysteresis as an error in the open circuit voltage (OCV) and employs a combination of real time, linear parameter estimation and SOC tracking technique to compensate for it. This obviates the need for modeling of hysteresis as a function of SOC and load current. We identify the presence of correlated noise that has been so far ignored in the literature and use it to enhance the accuracy of model identification. As a departure from the conventional “one model fits all” strategy, we identify four different equivalent models of the battery that represent four modes of typical battery operation and develop the framework for seamless SOC tracking by switching. The proposed parameter approach enables a robust initialization/re-initialization strategy for continuous operation of the BFG. The performance of the online parameter estimation scheme was first evaluated through simulated data. Then, the proposed algorithm was validated using hardware-in-the-loop (HIL) data collected from commercially available Li-ion batteries.

B. Balasingam; G.V. Avvari; B. Pattipati; K.R. Pattipati; Y. Bar-Shalom

2014-01-01T23:59:59.000Z

416

Utilization of a finite element model to verify spent nuclear fuel storage rack welds  

SciTech Connect

Elastic and plastic finite element analyses were performed for the inner tie block assembly of a 25 port fuel rack designed for installation at the Idaho National Engineering and Environmental Laboratory (INEEL) Idaho Chemical Processing Plant (ICPP). The model was specifically developed to verify the adequacy of certain welds joining components of the fuel storage rack assembly. The work scope for this task was limited to an investigation of the stress levels in the inner tie welds when the rack was subjected to seismic loads. Structural acceptance criteria used for the elastic calculations performed were as defined by the rack`s designer. Structural acceptance criteria used for the plastic calculations performed as part of this effort were as defined in Subsection NF and Appendix F of Section III of the ASME Boiler and Pressure Vessel Code. The results confirm that the welds joining the inner tie block to the surrounding rack structure meet the acceptance criteria. The analysis results verified that the inner tie block welds should be capable of transferring the expected seismic load without structural failure.

Nitzel, M.E.

1998-07-01T23:59:59.000Z

417

A model and simulation of cathode flooding and drying on unsteady proton exchange membrane fuel cell  

Science Journals Connector (OSTI)

A water balance has a significant impact on the overall system performance in proton exchange membrane fuel cell. An actual fuel cell application has a dynamic electrical load which means also dynamic electrical ...

A. Bakhtiar; Young-Bok Kim; Jin-Kwang You…

2012-09-01T23:59:59.000Z

418

Modeling Low-Platinum-Loading Effects in Fuel-Cell Catalyst Layers  

E-Print Network (OSTI)

Energy, Office of Hydrogen, Fuel Cell, and Infrastructureof fuel cell reaction with respect to hydrogen referencefuel-cell conditions and CL structures, the ORR oxygen reaction order is around 0.8 (referenced to an imaginary hydrogen

Yoon, Wonseok

2013-01-01T23:59:59.000Z

419

Cost of Fuel to General Electricity  

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

of Fuel to Generate Electricity of Fuel to Generate Electricity Cost of Fuel to Generate Electricity Herb Emmrich Gas Demand Forecast, Economic Analysis & Tariffs Manager SCG/SDG&E SCG/SDG&E Federal Utility Partnership Working Group (FUPWG) 2009 Fall Meeting November 18, 2009 Ontario, California The Six Main Costs to Price Electricity are:  Capital costs - the cost of capital investment (debt & equity), depreciation, Federal & State income taxes and property taxes and property taxes  Fuel costs based on fuel used to generate electricity - hydro, natural gas, coal, fuel oil, wind, solar, photovoltaic geothermal biogas photovoltaic, geothermal, biogas  Operating and maintenance costs  Transmission costs  Distribution costs  Social adder costs - GHG adder, low income adder,

420

Ethanol Capital Management | Open Energy Information  

Open Energy Info (EERE)

Management Jump to: navigation, search Name: Ethanol Capital Management Place: Tucson, Arizona Zip: 85711 Product: Manages funds investing in Ethanol plants in the US Coordinates:...

Note: This page contains sample records for the topic "fuels model capital" 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

Nimes Capital LLC | Open Energy Information  

Open Energy Info (EERE)

to companies focused on sustainable development, alternative energy, infrastructure, or clean technology. References: Nimes Capital LLC1 This article is a stub. You can help...

422

Applied Intellectual Capital AIC | Open Energy Information  

Open Energy Info (EERE)

Zip: 94501-1010 Product: Applied Intellectual Capital (AIC) was founded in 1999 to fund technology development in clean energy, clean water and sustainable resources. References:...

423

Cora Capital Advisors LLC | Open Energy Information  

Open Energy Info (EERE)

investment bank and financial advisory firm focused on the renewable energy and clean technology sectors. References: Cora Capital Advisors LLC1 This article is a stub....

424

Human Capital Management Accountability Program (HCMAP)  

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

Human Capital Management Accountability Program (HCMAP) is an online program which serves as the vehicle for identifying and measuring these three factors, effectiveness, efficiency, and timeliness...

425

Ambata Capital Partners | Open Energy Information  

Open Energy Info (EERE)

York-based global investment and advisory firm specializing in clean energy and sustainability with a strategic focus on the Middle East and Africa. References: Ambata Capital...

426

Heavy-Duty Diesel Vehicle Fuel Consumption Modeling Based on Road Load and Power Train Parameters  

E-Print Network (OSTI)

Diesel Engines Using Four Fuels,” Southwest Research Institute, 25. J.B.Heywood, “Internal Combustion Engine Fundamentals”,

Giannelli, R; Nam, E K; Helmer, K; Younglove, T; Scora, G; Barth, M

2005-01-01T23:59:59.000Z

427

Advancement in Fuel Spray and Combustion Modeling for Compression Ignition Engine Applications  

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

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

428

Advancement in Fuel Spray and Combustion Modeling for Compression Ignition Engine Applications  

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

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

429

Homogenization of a Catalyst Layer Model for Periodically Distributed Pore Geometries in PEM Fuel Cells  

Science Journals Connector (OSTI)

......Distributed Pore Geometries in PEM Fuel Cells Markus Schmuck 1 Peter Berg 2 Correspondence...particular, polymer electrolyte fuel cells might become future power sources...research, see [3]. The CL in PEM fuel cells is comprised of a complex multiphase......

Markus Schmuck; Peter Berg

2013-01-01T23:59:59.000Z

430

Selective Separation of Thiols from a Model Fuel by Metal Oxides  

Science Journals Connector (OSTI)

These fossil fuels typically contain sulfur compounds on the order of a few percent. ... The authors have found that sulfur-loaded coals adsorb heavy metals in aqueous solutions. ... methods for fuel oils in relation to demand of low-sulfur fuel oils for air pollution control. ...

Yuuki Mochizuki; Katsuyasu Sugawara

2008-10-14T23:59:59.000Z

431

Cost of capital estimation for energy efficiency projects through a cash flow beta approach  

Science Journals Connector (OSTI)

This paper presents a methodological framework for project beta estimation according to the Capital Asset Pricing Model (CAPM) when relevant ... monthly residential retail price data for electricity, natural gas,...

György Andor; Marcell Dülk

2014-09-01T23:59:59.000Z

432

Professional Human Capital Flows: Temporal Structure of Loss, Replacement and Contingent Bundling Effects on Firm Performance  

E-Print Network (OSTI)

diversification, but the opposite is true of prior performance and the manager-subordinate ratio. Implications for RBT, the attraction-selection-attrition (ASA) model, and strategic human capital theory are discussed....

Brymer, Rhett

2012-10-19T23:59:59.000Z

433

Photoelectrochemical Materials: Theory and Modeling - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

8 8 DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report Muhammad N. Huda (Primary Contact), Yanfa Yan*, Todd Deutsch*, Mowafak M. Al-Jassim* and A. John A. Turner* Department of Physics University of Texas at Arlington Arlington, TX 76019 Phone: (817) 272-1097 Email: huda@uta.edu *National Renewable Energy Laboratory DOE Manager HQ: Eric L. Miller Phone: (202) 287-5892 Email: Eric.Miller@ee.doe.gov Subcontractor: University of Texas at Arlington, Arlington, TX Project Start Date: September 2009 Project End Date: August 2012 Fiscal Year (FY) 2012 Objectives For FY 2012, the main goal of this project was to improve materials efficiency by understanding and hence tuning the following by theoretical/computational modeling

434

Phase-field modeling of three-phase electrode microstructures in solid oxide fuel cells  

Science Journals Connector (OSTI)

A phase-field model for describing three-phase electrode microstructure (i.e. electrode-phase electrolyte-phase and pore-phase) in solid oxide fuel cells is proposed using the diffuse-interface theory. Conserved composition and non-conserved grain orientation order parameters are simultaneously used to describe the coupled phase coarsening and grain growth in the three-phase electrode. The microstructural evolution simulated by the phase-field approach demonstrates the significant dependence of morphological microstructure and output statistic material features on the prescribed kinetic parameters and three-phase volume fractions. The triple-phase boundary fraction is found to have a major degradation in the early evolution.

Qun Li; Linyun Liang; Kirk Gerdes; Long-Qing Chen

2012-01-01T23:59:59.000Z

435

Mesoscopic modeling of liquid water transport in polymer electrolyte fuel cells  

SciTech Connect

A key performance limitation in polymer electrolyte fuel cells (PEFC), manifested in terms of mass transport loss, originates from liquid water transport and resulting flooding phenomena in the constituent components. Liquid water leads to the coverage of the electrochemically active sites in the catalyst layer (CL) rendering reduced catalytic activity and blockage of the available pore space in the porous CL and fibrous gas diffusion layer (GDL) resulting in hindered oxygen transport to the active reaction sites. The cathode CL and the GDL therefore playa major role in the mass transport loss and hence in the water management of a PEFC. In this article, we present the development of a mesoscopic modeling formalism coupled with realistic microstructural delineation to study the profound influence of the pore structure and surface wettability on liquid water transport and interfacial dynamics in the PEFC catalyst layer and gas diffusion layer.

Mukherjee, Partha P [Los Alamos National Laboratory; Wang, Chao Yang [PENNSTATE UNIV.

2008-01-01T23:59:59.000Z

436

AUTHORIZING THE ISSUANCE AND SALE OF CAPITAL PROJECTS GENERAL OBLIGATION BONDS TO MAKE CAPITAL EXPENDITURES FOR SENIOR  

E-Print Network (OSTI)

AUTHORIZING THE ISSUANCE AND SALE OF CAPITAL PROJECTS GENERAL OBLIGATION BONDS TO MAKE CAPITAL EXPENDITURES.--For the purpose of providing funds for capital expenditures as authorized in the 2014 Capital Projects General Capital Projects General Obligation Bond Act. SECTION 4. EXPENDITURES.--The proceeds from the sale of #12

Johnson, Eric E.

437

Systems Modeling of Chemical Hydride Hydrogen Storage Materials for Fuel Cell Applications  

SciTech Connect

A fixed bed reactor was designed, modeled and simulated for hydrogen storage on-board the vehicle for PEM fuel cell applications. Ammonia Borane (AB) was selected by DOE's Hydrogen Storage Engineering Center of Excellence (HSECoE) as the initial chemical hydride of study because of its high hydrogen storage capacity (up to {approx}16% by weight for the release of {approx}2.5 molar equivalents of hydrogen gas) and its stability under typical ambient conditions. The design evaluated consisted of a tank with 8 thermally isolated sections in which H2 flows freely between sections to provide ballast. Heating elements are used to initiate reactions in each section when pressure drops below a specified level in the tank. Reactor models in Excel and COMSOL were developed to demonstrate the proof-of-concept, which was then used to develop systems models in Matlab/Simulink. Experiments and drive cycle simulations showed that the storage system meets thirteen 2010 DOE targets in entirety and the remaining four at greater than 60% of the target.

Brooks, Kriston P.; Devarakonda, Maruthi N.; Rassat, Scot D.; Holladay, Jamelyn D.

2011-10-05T23:59:59.000Z

438

Numerical Modeling of the Distributed Electrochemistry and Performance of Solid Oxide Fuel Cells  

SciTech Connect

A cell-level distributed electrochemistry (DEC) modeling tool has been developed to enable prediction of solid oxide fuel cell performance by considering the coupled and spatially varying multi-physics that occur within the tri-layer. The approach calculates the distributed electrochemistry within the electrodes, which includes the charge transfer and electric potential fields, ion transport throughout the tri-layer, and gas distributions within the composite and porous electrodes. The thickness of the electrochemically active regions within the electrodes is calculated along with the distributions of charge transfer. The DEC modeling tool can examine the overall SOFC performance based on electrode microstructural parameters, such as particle size, pore size, porosity factor, electrolyte and electrode phase volume fractions, and triple-phase-boundary length. Recent developments in electrode fabrication methods have lead to increased interest in using graded and nano-structured electrodes to improve the electrochemical performance of SOFCs. This paper demonstrates how the DEC modeling tool can be used to help design novel electrode microstructures by optimizing a graded anode for high electrochemical performance.

Recknagle, Kurtis P.; Ryan, Emily M.; Khaleel, Mohammad A.

2011-12-01T23:59:59.000Z

439

Power, Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling  

E-Print Network (OSTI)

Power, Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling BY Jonathan Michael Stearns Mattson Submitted to the graduate degree program..., Efficiency, and Emissions Optimization of a Single Cylinder Direct-Injected Diesel Engine for Testing of Alternative Fuels through Heat Release Modeling BY Jonathan Michael Stearns Mattson...

Mattson, Jonathan Michael Stearns

2013-08-31T23:59:59.000Z

440

Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with...  

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

Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model This presentation by...

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


441

BluePlanet Capital LLC | Open Energy Information  

Open Energy Info (EERE)

BluePlanet Capital LLC Jump to: navigation, search Name: BluePlanet Capital LLC Place: Washington, Connecticut Zip: 6793 Sector: Services Product: BluePlanet Capital is an...

442

Modeling of Gap Closure in Uranium-Zirconium Alloy Metal Fuel - A Test Problem  

SciTech Connect

Uranium based binary and ternary alloy fuel is a possible candidate for advanced fast spectrum reactors with long refueling intervals and reduced liner heat rating [1]. An important metal fuel issue that can impact the fuel performance is the fuel-cladding gap closure, and fuel axial growth. The dimensional change in the fuel during irradiation is due to a superposition of the thermal expansion of the fuel due to heating, volumetric changes due to possible phase transformations that occur during heating and the swelling due to fission gas retention. The volumetric changes due to phase transformation depend both on the thermodynamics of the alloy system and the kinetics of phase change reactions that occur at the operating temperature. The nucleation and growth of fission gas bubbles that contributes to fuel swelling is also influenced by the local fuel chemistry and the microstructure. Once the fuel expands and contacts the clad, expansion in the radial direction is constrained by the clad, and the overall deformation of the fuel clad assembly depends upon the dynamics of the contact problem. The neutronics portion of the problem is also inherently coupled with microstructural evolution in terms of constituent redistribution and phase transformation. Because of the complex nature of the problem, a series of test problems have been defined with increasing complexity with the objective of capturing the fuel-clad interaction in complex fuels subjected to a wide range of irradiation and temperature conditions. The abstract, if short, is inserted here before the introduction section. If the abstract is long, it should be inserted with the front material and page numbered as such, then this page would begin with the introduction section.

Simunovic, Srdjan [ORNL; Ott, Larry J [ORNL; Gorti, Sarma B [ORNL; Nukala, Phani K [ORNL; Radhakrishnan, Balasubramaniam [ORNL; Turner, John A [ORNL

2009-10-01T23:59:59.000Z

443

Environmental Capital Group LLC | Open Energy Information  

Open Energy Info (EERE)

Group LLC Group LLC Jump to: navigation, search Name Environmental Capital Group LLC Place Grass Valley, California Zip 95945 Product String representation "Environmental C ... tartup forward." is too long. References Environmental Capital Group LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Environmental Capital Group LLC is a company located in Grass Valley, California . References ↑ "Environmental Capital Group LLC" Retrieved from "http://en.openei.org/w/index.php?title=Environmental_Capital_Group_LLC&oldid=345025" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version

444

Environmental Capital Partners LLC | Open Energy Information  

Open Energy Info (EERE)

Partners LLC Partners LLC Jump to: navigation, search Name Environmental Capital Partners LLC Place New York, New York Zip 10017 Sector Services Product Private equity firm funded with USD 100m for investment in middle-market companies specialising in green consumer products, building materials, alternative energy, and industrial environmental services. References Environmental Capital Partners LLC[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Environmental Capital Partners LLC is a company located in New York, New York . References ↑ "Environmental Capital Partners LLC" Retrieved from "http://en.openei.org/w/index.php?title=Environmental_Capital_Partners_LLC&oldid=345026"

445

Impact Capital Partners Limited | Open Energy Information  

Open Energy Info (EERE)

Limited Limited Jump to: navigation, search Name Impact Capital Partners Limited Place Los Angeles, California Zip CA 90067-1509 Product Los Angeles-based, investment intermediary that designs financial solutions and innovative strategies for achieving sustained growth and intrinsic value. References Impact Capital Partners Limited[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Impact Capital Partners Limited is a company located in Los Angeles, California . References ↑ "Impact Capital Partners Limited" Retrieved from "http://en.openei.org/w/index.php?title=Impact_Capital_Partners_Limited&oldid=346814" Categories: Clean Energy Organizations Companies

446

Mechanistic modeling of Zircaloy deformation and fracture in fuel element analysis  

SciTech Connect

A review is given of the comprehensive model developed in the 1960's at the Bettis Atomic Power Laboratory to explain the creep of Zircaloy during neutron irradiation and applied to fuel element analysis and design. The in-pile softening observed at low stresses was hypothesized to be due to a combination of the growth-directed Roberts-Cottrell yielding creep originally proposed for ..cap alpha..-uranium and the formation of point defect loops preferentially on certain planes in response to the applied stress, with the second process being of relatively greater importance. The in-pile hardening observed at high stresses (or strain-rates) was proposed to be due to the cutting by dislocations of radiation-produced obstacles. In this stress (strain-rate) region, in-pile behavior was proposed to be identical to post-irradiation behavior. At intermediate stresses (strain-rates) a mechanism of radiation-enhanced climb around obstacles was suggested as being rate controlling. As the stress is decreased, the climb process becomes easier and the rate was then predicted to be controlled by glide at a flow stress characteristic of unirradiated, annealed material, where radiation-enhanced diffusion enabled climbing around the normal strain-hardening obstacles. At still lower stresses, this glide process became negligibly slow compared with the growth-connected creep mechanism which was presumed to operate independently. The overall scheme was shown to be good agreement with all the in-pile data then available and implemented into the computer analysis of fuel element behavior. 48 refs., 1 fig.

Nichols, F.A.

1985-06-01T23:59:59.000Z

447

Fuels - Biodiesel  

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

* Biodiesel * Biodiesel * Butanol * Ethanol * Hydrogen * Natural Gas * Fischer-Tropsch Batteries Cross-Cutting Assessments Engines GREET Hybrid Electric Vehicles Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Clean Diesel Fuels Background Reducing our country's dependence on foreign oil and the rising costs of crude oil are primary reasons for a renewed interest in alternative fuels for the transportation sector. Stringent emissions regulations and public concern about mobile sources of air pollution provide additional incentives to develop fuels that generate fewer emissions, potentially reducing the need for sophisticated, expensive exhaust after-treatment devices.

448

Radioactive Waste Management: Study of Spent Fuel Dissolution Rates in Geological Storage Using Dosimetry Modeling and Experimental Verification  

SciTech Connect

This research will provide improved predictions into the mechanisms and effects of radiolysis on spent nuclear fuel dissolution in a geological respository through accurate dosimetry modeling of the dose to water, mechanistic chemistry modeling of the resulting radiolytic reactions and confirmatory experimental measurements. This work will combine effort by the Nuclear Science and Engineering Institute (NSEI) and the Missouri University Research Reactor (MURR) at the University of Missouri-Columbia, and the expertise and facilities at the Pacific Northwest National Laboratory (PNNL).

Brady Hansen; William Miller

2011-10-28T23:59:59.000Z

449

Best Practices for Controlling Capital Costs in Net Zero Energy...  

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

for Controlling Capital Costs in Net Zero Energy Design and Construction - 2014 BTO Peer Review Best Practices for Controlling Capital Costs in Net Zero Energy Design and...

450

Accessing Low-Cost Capital Through Securitization (Poster)  

SciTech Connect

Poster for Solar Power International conference presents information on NREL's effort to open capital markets through securitization via Solar Access to Public Capital (SAPC) working group's efforts.

Mendelsohn, M.

2014-10-01T23:59:59.000Z

451

Modeling the cathode compartment of polymer electrolyte fuel cells: Dead and active reaction zones  

SciTech Connect

A two-dimensional model of the cathode compartment of a polymer electrolyte fuel cell has been developed. The existence of gas channels in the current collector is taken into account. The model is based on continuity equations for concentrations of the gases and Poisson's equations for potentials of membrane and carbon phase, coupled by Tafel relation for reaction kinetics. Stefan-Maxwell and Knudsen diffusion of gases are taken into account. The simulations were performed for high and low values of carbon phase conductivity. The results revealed (i) for a low value of carbon phase conductivity, a dead zone in the active layer in front of the gas channel is formed, where the reaction rate is small. The catalyst may be removed from this zone without significant loss in cell performance; (ii) For a high carbon phase conductivity value, such a zone is absent, but removal of the catalyst from the same part of the active layer forces the reaction to proceed more rapidly in the remaining parts, with only marginal losses in performance. This conclusion is valid for high diffusivity of oxygen. For low diffusivity, dead zones are formed in front of the current collector, so that catalyst can be removed from these zones. The results, thus, show the possibilities for a considerable reduction of the amount of catalyst.

Kulikovsky, A.A.; Divisek, J.; Kornyshev, A.A.

1999-11-01T23:59:59.000Z

452

Multi-Component and Multi-Dimensional Mathematical Modeling of Solid Oxide Fuel Cells.  

E-Print Network (OSTI)

??Solid oxide fuel cells (SOFCs) are solid-state ceramic cells, typically operating between 1073 K and 1273 K. Because of high operating temperature, SOFCs are mostly… (more)

Hussain, Mohammed Mujtaba

2008-01-01T23:59:59.000Z

453

Development of a techno-economic model to optimization DOE spent nuclear fuel disposition  

SciTech Connect

The purpose of the National Spent Nuclear Fuel (NSNF) Program conducted by Lockheed Martin Idaho Technology Co. (LMITCO) at the Idaho National Engineering and Environmental Laboratory (INEEL) is to evaluate what to do with the spent nuclear fuel (SNF) in the Department of Energy (DOE) complex. Final disposition of the SNF may require that the fuel be treated to minimize material concerns. The treatments may range from electrometallurgical treatment and chemical dissolution to engineering controls. Treatment options and treatment locations will depend on the fuel type and the current locations of the fuel. One of the first steps associated with selecting one or more sites for treating the SNF in the DOE complex is to determine the cost of each option. An economic analysis will assist in determining which fuel treatment alternative attains the optimum disposition of SNF at the lowest possible cost to the government and the public. For this study, a set of questions was developed for the electrometallurgical treatment process for fuels at several locations. The set of questions addresses all issues associated with the design, construction, and operation of a production facility. A matrix table was developed to determine questions applicable to various fuel treatment options. A work breakdown structure (WBS) was developed to identify a treatment process and costs from initial design to shipment of treatment products to final disposition. Costs will be applied to determine the life-cycle cost of each option. This technique can also be applied to other treatment techniques for treating spent nuclear fuel.

Ramer, R.J.; Plum, M.M.; Adams, J.P.; Dahl, C.A.

1997-11-01T23:59:59.000Z

454

Convection-type PEM fuel cell control system performance testing and modeling.  

E-Print Network (OSTI)

??The PEM (Polymer Electrolyte Membrane) fuel cell is a promising technology for mobile applications because of its compactness, low operating temperature, and quick startup time.… (more)

Hoy, Jeannette M.

2008-01-01T23:59:59.000Z

455

Modeling of the reburn process with the use of feedlot biomass as a reburn fuel  

E-Print Network (OSTI)

...................................................................................... 43 Chemical reactions .............................................................................. 46 Pyrolysis .............................................................................................. 52 viii CHAPTER Page Fuel... nitrogen pyrolysis........................................................................ 54 Gas stream mass conservation equations ............................................ 56 Particle geometry...

Colmegna, Giacomo

2009-05-15T23:59:59.000Z

456

COBRA-SFS (Spent Fuel Storage): A thermal-hydraulic analysis computer code: Volume 1, Mathematical models and solution method  

SciTech Connect

COBRA-SFS (Spent Fuel Storage) is a general thermal-hydraulic analysis computer code used to predict temperatures and velocities in a wide variety of systems. The code was refined and specialized for spent fuel storage system analyses for the US Department of Energy's Commercial Spent Fuel Management Program. The finite-volume equations governing mass, momentum, and energy conservation are written for an incompressible, single-phase fluid. The flow equations model a wide range of conditions including natural circulation. The energy equations include the effects of solid and fluid conduction, natural convection, and thermal radiation. The COBRA-SFS code is structured to perform both steady-state and transient calculations: however, the transient capability has not yet been validated. This volume describes the finite-volume equations and the method used to solve these equations. It is directed toward the user who is interested in gaining a more complete understanding of these methods.

Rector, D.R.; Wheeler, C.L.; Lombardo, N.J.

1986-11-01T23:59:59.000Z

457

The need for a characteristics-based approach to radioactive waste classification as informed by advanced nuclear fuel cycles using the fuel-cycle integration and tradeoffs (FIT) model  

SciTech Connect

This study explores the impact of wastes generated from potential future fuel cycles and the issues presented by classifying these under current classification criteria, and discusses the possibility of a comprehensive and consistent characteristics-based classification framework based on new waste streams created from advanced fuel cycles. A static mass flow model, Fuel-Cycle Integration and Tradeoffs (FIT), was used to calculate the composition of waste streams resulting from different nuclear fuel cycle choices. Because heat generation is generally the most important factor limiting geological repository areal loading, this analysis focuses on the impact of waste form heat load on waste classification practices, although classifying by metrics of radiotoxicity, mass, and volume is also possible. Waste streams generated in different fuel cycles and their possible classification based on the current U.S. framework and international standards are discussed. It is shown that the effects of separating waste streams are neglected under a source-based radioactive waste classification system. (authors)

Djokic, D. [Department of Nuclear Engineering, University of California, Berkeley, 3115B Etcheverry Hall, Berkeley, CA 94720-1730 (United States); Piet, S.; Pincock, L.; Soelberg, N. [Idaho National Laboratory - INL, 2525 North Fremont Avenue, Idaho Falls, ID 83415 (United States)

2013-07-01T23:59:59.000Z

458

Development of Improved Models and Designs for Coated-Particle Gas Reactor Fuels -- Final Report under the International Nuclear Energy Research Initiative (I-NERI)  

SciTech Connect

The objective of this INERI project was to develop improved fuel behavior models for gas reactor coated-particle fuels and to explore improved coated-particle fuel designs that could be used reliably at very high burnups and potentially in gas-cooled fast reactors. Project participants included the Idaho National Engineering Laboratory (INEEL), Centre Étude Atomique (CEA), and the Massachusetts Institute of Technology (MIT). To accomplish the project objectives, work was organized into five tasks.

David Petti; Philippe Martin; Mayeul Phélip; Ronald Ballinger; Petti does not have NT account

2004-12-01T23:59:59.000Z

459

A Neural Network Model for the Tomographic Analysis of Irradiated Nuclear Fuel Rods  

SciTech Connect

A tomographic method based on a multilayer feed-forward artificial neural network is proposed for the reconstruction of gamma-radioactive fission product distribution in irradiated nuclear fuel rods. The quality of the method is investigated as compared to a conventional technique on experimental results concerning a Canada deuterium uranium reactor (CANDU)-type fuel rod irradiated in a TRIGA reactor.

Craciunescu, Teddy [National Institute of Nuclear Physics and Engineering (Romania)

2004-04-15T23:59:59.000Z

460

EPA and DOE Release Annual Fuel Economy Guide with 2014 Models  

Office of Energy Efficiency and Renewable Energy (EERE)

The U.S. Environmental Protection Agency (EPA) and the Department of Energy (DOE) are releasing the 2014 Fuel Economy Guide, providing consumers with a valuable resource to identify and choose the most fuel efficient and low greenhouse gas-emitting ve

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


461

Development of a Techno-Economic Model to Optimize DOE Spent Nuclear Fuel Disposition  

SciTech Connect

The National Spent Nuclear Fuel (NSNF) Program is evaluating final disposition of spent nuclear fuel (SNE) in the Department of Energy (DOE) complex. Final disposition of SNF may require that the fuel be treated to minimize material concerns. The treatments may range from electrometallurgical treatment (EMT) and chemical dissolution to engineering controls. Treatment options and treatment locations will depend on fuel type and location of the fuel. One of the first steps associated with selecting one or more sites for treating SNF in the DOE complex is to determine the cost of each option. An economic analysis will assist in determining which fuel treatment alternative attains the optimum disposition of SNF at the lowest possible cost to the government and the public. For this study, a set of questions was developed for the EMT process for fuels at several locations. The set of questions addresses all issues associated with design, construction, and operation of a production facility. A matrix table was developed to determine questions applicable to various fuel treatment options. A work breakdown structure (WBS) was developed to identify a treatment process and costs from initial design to shipment of treatment products to final disposition. Costs can be applied to determine the life cycle cost of each option. This technique can also be applied to other treatment techniques for treating SNF.

Ramer, R. J.; Plum, M. M.; Adams, J. P.; Dahl, C. A.

1998-02-01T23:59:59.000Z

462

Capital expenditure decision making in small firms  

Science Journals Connector (OSTI)

A number of studies have been conducted to determine the extent to which large firms utilize sophisticated techniques in capital expenditure decision making. This research effort focuses on financial decision making procedures of small firms, exploring the techniques utilized to evaluate investment opportunities, methods employed to adjust for risk, purposes of expenditures and concern for profitability, and the source and cost of funds. In light of the recent debate on the capital shortage issue, small firms were also asked what type of tax reform they deemed most desirable to stimulate capital investments.

L.R. Runyon

1983-01-01T23:59:59.000Z

463

Numerical Modelling of Oxy-Fuel Combustion in a Full-Scale Tangentially-Fired Pulverised Coal Boiler  

Science Journals Connector (OSTI)

Abstract This paper presents a computational fluid dynamics (CFD) modelling study to investigate Victorian brown coal combustion in a 550 MW utility boiler under the air-fired (standard) and three oxy-fuel-fired cases. The standard case was modelled based on the real operating conditions of Loy Yang A power plant located in the state of Victoria, Australia. A level of confidence of the present CFD model was achieved validating four parameters of the standard combustion case, as well as the previous preliminary CFD studies which were conducted on a lab-scale (100 kW) unit firing lignite and propane under oxy-fuel-fired scenarios. The oxy-fuel combustion cases are known as OF25 (25vol. % O2 concentration), OF27 (27vol. % O2 concentration), and OF29 (29vol. % O2 concentration). The predictions of OF29 combustion case were considerably similar to the standard firing results in terms of gas temperature levels and radiative heat transfer compared with OF25 and OF27 combustion scenarios. This similarity was because of increasing the residence time of pulverised coal (PC) in the combustion zone and O2 concentration in feed oxidizer gases. Furthermore, a significant increase in the CO2 concentrations and a noticeable decrease in the nitric oxides (NOx) formation were noted under all oxy-fuel combustion conditions. This numerical study of oxy-fuel combustion in a full-scale tangentially-fired PC boiler is important prior to its execution in real-life power plants.

Audai Hussein Al-Abbas; Jamal Naser; David Dodds; Aaron Blicblau

2013-01-01T23:59:59.000Z

464

Modeling status and needs for temperature calculations within spent fuel disposal containers  

SciTech Connect

The Brookhaven National Laboratory (BNL) Waste Materials and Environment Modeling (WMEM) Program has been assigned the task of helping the DOE formulate and certify analytical tools needed to support and/or strengthen the Waste Package Licensing strategy. One objective of the WMEM program is to perform qualitative and quantitative analyses of processes related to the internal waste package environment, e.g., temperature, radiolysis effects, presence of moisture, etc. The primary objective of this report is to present the findings of a literature review of work pertinent to predicting intact waste package internal temperatures under spent fuel isolation conditions. Therefore, it is assumed that a repository scale thermal analysis has been conducted and the exterior temperature of the waste package is known. Thus, the problem reduces to one determined by the waste package and its properties. Secondary objectives of this report are to identify key parameters and methodologies for performing the thermal analysis within intact waste containers, and identify sources of uncertainty in these calculations. 37 refs., 6 figs., 2 tabs.

Sullivan, T.M.; Pescatore, C.

1989-10-01T23:59:59.000Z

465

Chemical Kinetic Research on HCCI & Diesel Fuels  

Energy Savers (EERE)

fuel * a primary reference fuel for diesel * Include both high and low temperature chemistry important to model low temperature combustion modes Improve component models for...

466

ErgyCapital SpA formerly Greenergy Capital | Open Energy Information  

Open Energy Info (EERE)

ErgyCapital SpA formerly Greenergy Capital ErgyCapital SpA formerly Greenergy Capital Jump to: navigation, search Name ErgyCapital SpA (formerly Greenergy Capital) Place Milan, Italy Zip 20121 Sector Efficiency, Renewable Energy Product Investment company specializing in renewable energy and energy efficiency. Coordinates 45.468945°, 9.18103° 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":45.468945,"lon":9.18103,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

467

Definition: Algae fuel | Open Energy Information  

Open Energy Info (EERE)

fuel fuel Jump to: navigation, search Dictionary.png Algae fuel A specific type of biofuel, made by chemically processing oils from algae.[1][2] View on Wikipedia Wikipedia Definition Algae fuel or Algal biofuel is an alternative to fossil fuel that uses algae as its source of natural deposits. Several companies and government agencies are funding efforts to reduce capital and operating costs and make algae fuel production commercially viable. Harvested algae, like fossil fuel, releases CO2 when burnt but unlike fossil fuel the CO2 is taken out of the atmosphere by the growing of algae and other biofuel sources. The energy crisis and the world food crisis have ignited interest in algaculture (farming algae) for making vegetable oil, biodiesel, bioethanol, biogasoline, biomethanol, biobutanol and other biofuels, using

468

Greenwood Capital Partners | Open Energy Information  

Open Energy Info (EERE)

Greenwood Capital Partners Greenwood Capital Partners Jump to: navigation, search Name Greenwood Capital Partners Place Charlotte, North Carolina Zip 28266 Product Corporate finance boutique working on capital-raising for clean energy companies. Coordinates 35.2225°, -80.837539° 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":35.2225,"lon":-80.837539,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

469

Long Branch Capital | Open Energy Information  

Open Energy Info (EERE)

Branch Capital Branch Capital Jump to: navigation, search Name Long Branch Capital Place Austin, Texas Zip 78744 Sector Efficiency, Renewable Energy Product Long Branch Capital makes minority investments in private companies focused on renewable energy, clean technology, and efficiency Coordinates 30.267605°, -97.742984° 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":30.267605,"lon":-97.742984,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

470

GreenCore Capital | Open Energy Information  

Open Energy Info (EERE)

GreenCore Capital GreenCore Capital Jump to: navigation, search Logo: GreenCore Capital Name GreenCore Capital Address 10509 Vista Sorrento Parkway Place San Diego, California Zip 92121 Region Southern CA Area Product Invests in developing promising renewable energy companies Website http://www.greencorecapital.co Coordinates 32.898095°, -117.215736° 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":32.898095,"lon":-117.215736,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

471

Hereford Capital Advisors | Open Energy Information  

Open Energy Info (EERE)

Hereford Capital Advisors Hereford Capital Advisors Jump to: navigation, search Name Hereford Capital Advisors Place Denver, Colorado Product US-based firm offering PV project management and capital structuring. Coordinates 39.74001°, -104.992259° 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":39.74001,"lon":-104.992259,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

Sustainable World Capital | Open Energy Information  

Open Energy Info (EERE)

Atlanta-based firm that connects companies with institutional investors. References: Sustainable World Capital1 This article is a stub. You can help OpenEI by expanding it....

473

Carbon Capital Markets | Open Energy Information  

Open Energy Info (EERE)

Carbon Product: London-based fund manager and trader specialising in the carbon and clean energy markets. References: Carbon Capital Markets1 This article is a stub. You can help...

474

Capitalize on Existing Assets with Demand Response  

E-Print Network (OSTI)

Industrial facilities universally struggle with escalating energy costs. EnerNOC will demonstrate how commercial, industrial, and institutional end-users can capitalize on their existing assets—at no cost and no risk. Demand response, the voluntary...

Collins, J.

2008-01-01T23:59:59.000Z

475

Adage Capital Management, LP ADP Foundation  

E-Print Network (OSTI)

Adage Capital Management, LP ADP Foundation Agilent Technologies, Inc. Air Products Foundation Alcoa Foundation Alexander & Baldwin, Inc. AllianceBernstein Foundation Fund Allstate Foundation Alstom Power, Inc. Altria Group, Inc. American Express Foundation American Institute for Foreign Study American

Napier, Terrence

476

American Capital Energy Inc | Open Energy Information  

Open Energy Info (EERE)

Product: Full-service PV installation company, which provides advisory services on PV plants and O&M services. References: American Capital Energy Inc1 This article is a...

477

Allocation of Economic Capital in loan portfolios  

Science Journals Connector (OSTI)

Since the seminal of Markowitz (1952) and Sharpe (1964) capital allocation within portfolios is based on the variance/covariance analysis. Even the introduction of Value-at-Risk in order to measure risk more a...

Ludger Overbeck

2000-01-01T23:59:59.000Z

478

Persimmon Tree Capital | Open Energy Information  

Open Energy Info (EERE)

Product: Persimmon is a private equity fund established in 2008 to invest in renewable energy firms. References: Persimmon Tree Capital1 This article is a stub. You can help...

479

Human Capital: Education, Innovation and Health  

Science Journals Connector (OSTI)

Table 5.15...shows that, despite the gradual increase in educational expenditure (both in absolute terms and as a ... in the size of the investment in human capital production. Finally, a substantial increase in....

Prof. Panagiotis Petrakis

2012-01-01T23:59:59.000Z

480

Wind Farm Capital | Open Energy Information  

Open Energy Info (EERE)

Wind Farm Capital Place: Connecticut Sector: Wind energy Product: US-based company that buys wind leases from farmers and landowners, providing an upfront lump sum in exchange for...

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


481

North Carolina Capital Access Program (North Carolina)  

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

The North Carolina Capital Access Program provides matching reserve funds for business loans that are beyond the traditional lending means of a lender’s usual standards. The average CAP loan is ...

482

Beryllium Impregnation of Uranium Fuel: Thermal Modeling of Cylindrical Objects for Efficiency Evaluation  

E-Print Network (OSTI)

, the graphs created need to be compared as shown below in figure 3.2. The goal of the new additive is to have a better heat conductivity throughout the fuel pellet in a reactor core leading to more power output from the fuel and better burnup. To see... conductivity. This leads to the temperature of the fuel to increase in order to produce the same power output as a higher thermal conductivity material. The Beryllium Oxide(BeO) that is to be used in this experiment is such a material that can raise...

Lynn, Nicholas

2011-08-04T23:59:59.000Z

483

GUIDELINES FOR CAPITAL PROJECTS INVOLVING DONOR CAMPUS REVIEW  

E-Print Network (OSTI)

. The Accounting Manual addresses appropriation and expenditure of donor funds for capital projects and is attachedGUIDELINES FOR CAPITAL PROJECTS INVOLVING DONOR FUNDS CAMPUS REVIEW Capital projects, regardless capital projects, including donor-funded projects, must have a Building Committee appointed

California at Santa Barbara, University of

484

Capital Development Plan: 2013-18 1. Introduction  

E-Print Network (OSTI)

Capital Development Plan: 2013-18 1. Introduction 1.1 Significant capital expenditure has continued.3 The attached Schedules provide a detailed breakdown of all planned expenditure in the period on capital building projects within the current capital programme. Schedule 2 - profiles projected expenditure

Paxton, Anthony T.

485

The Future of Capital Income Taxation Alan J. Auerbach*  

E-Print Network (OSTI)

expenditure tax is not easily dismissed. Indeed, the case against capital income taxation is stronger now thanThe Future of Capital Income Taxation Alan J. Auerbach* University of California, Berkeley for capital income taxation. The disenchantment with capital income taxes is not new, of course. Joseph

Sadoulet, Elisabeth

486

Agency costs and efficiency of business capital investment: evidence from quarterly capital expenditures  

Science Journals Connector (OSTI)

Using the quarterly Compustat files, we present empirical findings that business capital investment is significantly higher in the fourth quarter than in other quarters. Even after controlling for business capital investment determinants, we find that the fourth quarter capital investment is significantly larger but less sensitive to investment opportunities than other quarters' capital investment. This phenomenon is more evident for firms with larger cash holdings than for firms with smaller cash holdings, for larger firms than for smaller firms, and for diversified firms than for stand-alone firms. Our findings suggest a high level of agency costs in corporate investment decisions.

Hyun-Han Shin; Yong H. Kim

2002-01-01T23:59:59.000Z

487

HTGR Fuel performance basis  

SciTech Connect

The safety characteristics of the high-temperature gas-cooled reactor (HTGR) during normal and accident conditions are determined in part by HTGR fuel performance. During normal operation, less than 0.1% fuel failure occurs, primarily from defective particles. This low fuel failure fraction limits circulating activity to acceptable levels. During severe accidents, the radiological consequence is influenced by high-temperature fuel particle behavior. An empirical fuel failure model, supported by recent experimental data, is presented. The onset of significant fuel particle failure occurs at temperatures in excess of 1600/sup 0/C, and complete fuel failure occurs at 2660/sup 0/C. This indicates that the fuel is more retentive at higher temperatures than previously assumed. The more retentive nature of the fuel coupled with the high thermal capacitance of the core results in slow release of fission products from the core during severe accidents.

Shamasundar, B.I.; Stansfield, O.M.; Jensen, D.D.

1982-05-01T23:59:59.000Z

488

Annual Capital Expenditures Survey | Data.gov  

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

Annual Capital Expenditures Survey Annual Capital Expenditures Survey BusinessUSA Data/Tools Apps Challenges Let's Talk BusinessUSA You are here Data.gov » Communities » BusinessUSA » Data Annual Capital Expenditures Survey Dataset Summary Description Provides national estimates of investment in new and used buildings and other structures, machinery, and equipment by U.S. nonfarm businesses with and without employees. Data are published by industry for companies with employees for NAICS 3-digit and selected 4-digit industries. Data on the amount of business expenditures for new plant and equipment and measures of the stock of existing facilities are critical to evaluate productivity growth, the ability of U.S. business to compete with foreign business, changes in industrial capacity, and measures of overall economic performance. In addition, ACES data provide industry analysts with capital expenditure data for market analysis, economic forecasting, identifying business opportunities and developing new and strategic plans. The ACES is an integral part of the Federal Government's effort to improve and supplement ongoing statistical programs. Private companies and organizations,, educators and students, and economic researchers use the survey results for analyzing and conducting impact evaluations on past and current economic performance, short-term economic forecasts, productivity, long-term economic growth, tax policy, capacity utilization, business fixed capital stocks and capital formation, domestic and international competitiveness trade policy, market research, and financial analysis.

489

An investigation of regulatory and voluntary environmental capital expenditures  

Science Journals Connector (OSTI)

This paper investigates the firm-specific economic consequences of regulatory and voluntary environmental capital expenditures. Using firm-level environmental data, I decompose total environmental capital expenditures into estimates of regulatory and voluntary components. I then examine the relations of regulatory and voluntary environmental capital outlays with future abnormal earnings, stock prices, and stock returns. As predicted, the empirical analysis reveals that regulatory environmental capital expenditures are negatively associated with future abnormal earnings. Moreover, market-based tests indicate that the regulatory component of environmental capital expenditures is negatively priced. Finally, the results suggest that voluntary environmental capital expenditures and regulatory environmental capital expenditures have different firm-specific economic consequences.

Derek Johnston

2005-01-01T23:59:59.000Z

490

Kinetic Modeling Study of the Ignition Process of Homogeneous Charge Compression Ignition Engine Fueled with Three-Component Diesel Surrogate  

Science Journals Connector (OSTI)

School of Energy & Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China ... Such a computational study is also expected to provide insight into the fundamental understanding of the choice of neat constituents for the surrogate mixture and their relative proportions. ... The present study proposes surrogate models for the nine fuels for advanced combustion engines (FACE) that have been developed for studying low-emission, high-efficiency advanced diesel engine concepts. ...

Gan Xiao; Yusheng Zhang; Jing Lang

2013-02-11T23:59:59.000Z

491

EPA Fuel Economy Ratings  

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

Current Window Sticker Current Window Sticker The U.S. Environmental Protection Agency (EPA) and the National Highway Traffic Safety Administration (NHTSA) recently redesigned and enhanced the window sticker that appears on new vehicles. The new Fuel Economy and Environment Label will be mandatory on all new vehicles beginning with the 2013 model year. For the 2012 model year, manufacturers can use the new window sticker or the older window sticker shown below. Roll over the highlighted elements on the label below to learn more about EPA's current fuel economy label. EPA's Current Fuel Economy Label EPA's New Fuel Economy Label Estimated Annual Fuel Cost: $2,039 based on 15,000 mile at $2.80 per gallon Your fuel cost may differ depending on annual miles and fuel prices. Combined Fuel Economy for this Vehicle: 21 MPG, Range for all SUVs: 10-31

492

Mathematical modelling of the catalyst layer of a polymer electrolyte fuel cell  

Science Journals Connector (OSTI)

......A. (1999) Electrochemical impedance of the cathode catalyst layer in polymer electrolyte fuel cells. J...charge transfer as well as electrochemistry in the cathode catalyst layer of a PEMFC. Master's Thesis, Virginia Polytechnic Institute......

A. A. Shah; Gwang-Soo Kim; K. Promislow

2007-06-01T23:59:59.000Z