Sample records for fuel code source

  1. Fuel cycle code, "FUELMOVE III"

    E-Print Network [OSTI]

    Sovka, Jerry Alois

    1963-01-01T23:59:59.000Z

    Further modifications to the fuel cycle code FUELMOVE are described which were made in an attempt to obtain results for reflected reactors operated under batch, outin, and bidirectional fueling schemes. Numerical methods ...

  2. Joint Source-Channel Coding via Turbo Codes

    E-Print Network [OSTI]

    Alajaji, Fady

    Joint Source-Channel Coding via Turbo Codes by Guang-Chong Zhu A dissertation submitted coding. One of the most exciting break- throughs in channel coding is the invention of Turbo codes, whose- tigate three joint source-channel coding issues in the context of Turbo codes. In the #12;rst part

  3. Stationary and Portable Fuel Cell Systems Codes and Standards...

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

    Stationary and Portable Fuel Cell Systems Codes and Standards Citations Stationary and Portable Fuel Cell Systems Codes and Standards Citations This document lists codes and...

  4. FUEL CELL TECHNOLOGIES PROGRAM Safety, Codes, and

    E-Print Network [OSTI]

    . Many odorants can also contaminate fuel cells. Hydrogen burns very quickly. Under optimal combustionFUEL CELL TECHNOLOGIES PROGRAM Safety, Codes, and Standards Hydrogen and fuel cell technologies, nuclear, natural gas, and coal with carbon sequestration. Fuel cells provide a highly efficient means

  5. Transmutation Fuel Performance Code Conceptual Design

    SciTech Connect (OSTI)

    Gregory K. Miller; Pavel G. Medvedev

    2007-03-01T23:59:59.000Z

    One of the objectives of the Global Nuclear Energy Partnership (GNEP) is to facilitate the licensing and operation of Advanced Recycle Reactors (ARRs) for transmutation of the transuranic elements (TRU) present in spent fuel. A fuel performance code will be an essential element in the licensing process ensuring that behavior of the transmutation fuel elements in the reactor is understood and predictable. Even more important in the near term, a fuel performance code will assist substantially in the fuels research and development, design, irradiation testing and interpretation of the post-irradiation examination results.

  6. Verification of the BISON fuel performance code

    SciTech Connect (OSTI)

    D. M. Perez; R. J. Gardner; J. D. Hales; S. R. Novascone; G. Pastore; B. W. Spencer; R. L. Williamson

    2014-09-01T23:59:59.000Z

    BISON is a modern finite element-based nuclear fuel performance code that has been under development at Idaho National Labo- ratory (USA) since 2009. The code is applicable to both steady and transient fuel behavior and is used to analyze 1D spherical, 2D axisymmetric, or 3D geometries. BISON has been applied to a variety of fuel forms including LWR fuel rods, TRISO-coated fuel particles, and metallic fuel in both rod and plate geometries. Code validation is currently in progress, principally by comparison to instrumented LWR fuel rods and other well known fuel performance codes. Results from several assessment cases are reported, with emphasis on fuel centerline temperatures at various stages of fuel life, fission gas release, and clad deformation during pellet clad mechanical interaction (PCMI). BISON comparisons to fuel centerline temperature measurements are very good at beginning of life and reasonable at high burnup. Although limited to date, fission gas release comparisons are very good. Comparisons of rod diameter following significant power ramping are also good and demonstrate BISON’s unique ability to model discrete pellet behavior and accurately predict clad ridging from PCMI.

  7. Source Coding with Mismatched Distortion Measures

    E-Print Network [OSTI]

    Niesen, Urs; Wornell, Gregory

    2008-01-01T23:59:59.000Z

    We consider the problem of lossy source coding with a mismatched distortion measure. That is, we investigate what distortion guarantees can be made with respect to distortion measure $\\tilde{\\rho}$, for a source code designed such that it achieves distortion less than $D$ with respect to distortion measure $\\rho$. We find a single-letter characterization of this mismatch distortion and study properties of this quantity. These results give insight into the robustness of lossy source coding with respect to modeling errors in the distortion measure. They also provide guidelines on how to choose a good tractable approximation of an intractable distortion measure.

  8. Application of the sources code in nuclear safeguards

    SciTech Connect (OSTI)

    Beddingfield, D. H. (David H.)

    2002-01-01T23:59:59.000Z

    The Sources Code System provides a greatly expanded calculational capacity in the field of nuclear safeguards. It is becoming more common that we are called upon to perform assays on materials for which no standards exist. These materials tend to be mixtures of nuclear materials and low-Z compounds (spent fuels in a variety of matrices, in-process compounds such as UF6, MOX with varying water content). We will present soma applications of the Sources Code and discuss the application calculated (a,n) source terms in neutron coincidence counting for nuclear safeguards.

  9. Dairy Biomass as a Renewable Fuel Source

    E-Print Network [OSTI]

    Mukhtar, Saqib; Goodrich, Barry; Engler, Cady; Capareda, Sergio

    2008-03-19T23:59:59.000Z

    biomass. This publication explains the properties of dairy manure that could make it an excellent source of fuel....

  10. Dairy Biomass as a Renewable Fuel Source 

    E-Print Network [OSTI]

    Mukhtar, Saqib; Goodrich, Barry; Engler, Cady; Capareda, Sergio

    2008-03-19T23:59:59.000Z

    biomass. This publication explains the properties of dairy manure that could make it an excellent source of fuel....

  11. Programming Language Evolution and Source Code Rejuvenation

    E-Print Network [OSTI]

    Pirkelbauer, Peter Mathias

    2011-02-22T23:59:59.000Z

    entropy. In conjunction with extensions to programming languages, source code rejuvenation o ers an evolutionary trajectory towards more reliable, more secure, and better performing code. We describe the tools that allow us e cient implementations..., provision of specialized libraries, enhancements of programming techniques, experiments with analysis and design techniques, and implementation of development and analysis tools. The ubiquitous multi-core architectures o er performance bene ts...

  12. Alternate Fuels: Is Your Waste Stream a Fuel Source?

    E-Print Network [OSTI]

    Coerper, P.

    . The advancement of programmable controls has also dramatically increased the capability and reliability of Alternate Fuel Systems. 148 ESL-IE-92-04-24 Proceedings from the 14th National Industrial Energy Technology Conference, Houston, TX, April 22-23, 1992... ALTERNATE FUELS: IS YOUR WASTE STREAM A FUEL SOURCE? PHn, COERPER. MANAGER ALTERNATE FUEL SYSTEMS. CLEAVER-BROOKS. Mn,WAUKEE. WI ABSTRACT Before the year 2000. more than one quarter of u.s. businesses will be firing Alternate Fuels...

  13. Alternative Fuels and Advanced Vehicles Data Center - Codes and...

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Alternative Fuels and Advanced Vehicles Data Center - Codes and Standards Resources AgencyCompany...

  14. Early User Experience with BISON Fuel Performance Code

    SciTech Connect (OSTI)

    D. M. Perez

    2012-08-01T23:59:59.000Z

    Three Fuel Modeling Exercise II (FUMEX II) LWR fuel irradiation experiments were simulated and analyzed using the fuel performance code BISON to demonstrate code utility for modeling of the LWR fuel performance. Comparisons were made against the BISON results and the experimental data for the three assessment cases. The assessment cases reported within this report include IFA-597.3 Rod 8, Riso AN3 and Riso AN4.

  15. Optimal Organizational Hierarchies: Source Coding: Disaster Relief

    E-Print Network [OSTI]

    Murthy, G Rama

    2011-01-01T23:59:59.000Z

    ulticasting is an important communication paradigm for enabling the dissemination of information selectively. This paper considers the problem of optimal secure multicasting in a communication network captured through a graph (optimal is in an interesting sense) and provides a doubly optimal solution using results from source coding. It is realized that the solution leads to optimal design (in a well defined optimality sense) of organizational hierarchies captured through a graph. In this effort two novel concepts : prefix free path, graph entropy are introduced. Some results of graph entropy are provided. Also some results on Kraft inequality are discussed. As an application Hierarchical Hybrid Communication Network is utilized as a model of structured Mobile Adhoc network for utility in Disaster Management. Several new research problems that naturally emanate from this research are summarized.

  16. Overview of the BISON Multidimensional Fuel Performance Code

    SciTech Connect (OSTI)

    R. L. Williamson; J. D. Hales; S. R. Novascone; B. W. Spencer; D. M. Perez; G. Pastore; R. C. Martineau

    2013-10-01T23:59:59.000Z

    BISON is a modern multidimensional multiphysics finite-element based nuclear fuel performance code that has been under development at the Idaho National Laboratory (USA) since 2009. A brief background is provided on the code’s computational framework (MOOSE), governing equations, and material and behavioral models. Ongoing code verification and validation work is outlined, and comparative results are provided for select validation cases. Recent applications are discussed, including specific description of two applications where 3D treatment is important. A summary of future code development and validation activities is given. Numerous references to published work are provided where interested readers can find more complete information.

  17. Predictive Bias and Sensitivity in NRC Fuel Performance Codes

    SciTech Connect (OSTI)

    Geelhood, Kenneth J.; Luscher, Walter G.; Senor, David J.; Cunningham, Mitchel E.; Lanning, Donald D.; Adkins, Harold E.

    2009-10-01T23:59:59.000Z

    The latest versions of the fuel performance codes, FRAPCON-3 and FRAPTRAN were examined to determine if the codes are intrinsically conservative. Each individual model and type of code prediction was examined and compared to the data that was used to develop the model. In addition, a brief literature search was performed to determine if more recent data have become available since the original model development for model comparison.

  18. Automatically Transforming GNU C Source Code Christopher Dahn, Spiros Mancoridis

    E-Print Network [OSTI]

    Mancoridis, Spiros

    Automatically Transforming GNU C Source Code Christopher Dahn, Spiros Mancoridis Department of Computer Science Drexel University, Philadelphia, PA, USA {chris.dahn}@computer.org {mancors

  19. Alternative Fuels Data Center: E85 Codes and Standards

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageStationGreenhouse Gas (GHG)North CarolinaAFDCE85 Codes and

  20. Source-channel coding for robust image transmission and for dirty-paper coding

    E-Print Network [OSTI]

    Sun, Yong

    2007-04-25T23:59:59.000Z

    In this dissertation, we studied two seemingly uncorrelated, but conceptually related problems in terms of source-channel coding: 1) wireless image transmission and 2) Costa ("dirty-paper") code design. In the first part of the dissertation, we...

  1. Data processing with microcode designed with source coding

    DOE Patents [OSTI]

    McCoy, James A; Morrison, Steven E

    2013-05-07T23:59:59.000Z

    Programming for a data processor to execute a data processing application is provided using microcode source code. The microcode source code is assembled to produce microcode that includes digital microcode instructions with which to signal the data processor to execute the data processing application.

  2. Mining API Error-Handling Specifications from Source Code

    E-Print Network [OSTI]

    Xie, Tao

    Mining API Error-Handling Specifications from Source Code Mithun Acharya and Tao Xie Department it difficult to mine error-handling specifications through manual inspection of source code. In this paper, we, without any user in- put. In our framework, we adapt a trace generation technique to distinguish

  3. Source Code Retrieval using Conceptual Similarity

    E-Print Network [OSTI]

    de Rijke, Maarten

    researched at least since the mid-late 1980s (Frakes and Ne- jmeh, 1987). Early forms of code retrieval were

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

    SciTech Connect (OSTI)

    Jason Hales; Various

    2014-06-01T23:59:59.000Z

    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.

  5. Fusion: an energy source for synthetic fuels

    SciTech Connect (OSTI)

    Fillo, J A; Powell, J; Steinberg, M

    1980-01-01T23:59:59.000Z

    The decreasing availability of fossil fuels emphasizes the need to develop systems which will produce synthetic fuel to substitute for and supplement the natural supply. An important first step in the synthesis of liquid and gaseous fuels is the production of hydrogen. Thermonuclear fusion offers an inexhaustible source of energy for the production of hydrogen from water. Depending on design, electric generation efficiencies of approx. 40 to 60% and hydrogen production efficiencies by high temperature electrolysis of approx. 50 to 70% are projected for fusion reactors using high temperature blankets. Fusion/coal symbiotic systems appear economically promising for the first generation of commercial fusion synfuels plants. Coal production requirements and the environmental effects of large-scale coal usage would be greatly reduced by a fusion/coal system. In the long term, there could be a gradual transition to an inexhaustible energy system based solely on fusion.

  6. Stationary Fuel Cell Application Codes and Standards: Overview and Gap Analysis

    SciTech Connect (OSTI)

    Blake, C. W.; Rivkin, C. H.

    2010-09-01T23:59:59.000Z

    This report provides an overview of codes and standards related to stationary fuel cell applications and identifies gaps and resolutions associated with relative codes and standards.

  7. Quantum Coding Theorems for Arbitrary Sources, Channels and Entanglement Resources

    E-Print Network [OSTI]

    Garry Bowen; Nilanjana Datta

    2006-09-30T23:59:59.000Z

    The information spectrum approach gives general formulae for optimal rates of various information theoretic protocols, under minimal assumptions on the nature of the sources, channels and entanglement resources involved. This paper culminates in the derivation of the dense coding capacity for a noiseless quantum channel, assisted by arbitrary shared entanglement, using this approach. We also review the currently known coding theorems, and their converses, for protocols such as data compression for arbitrary quantum sources and transmission of classical information through arbitrary quantum channels. In addition, we derive the optimal rate of data compression for a mixed source

  8. Alternate Fuels: Is Your Waste Stream a Fuel Source

    E-Print Network [OSTI]

    Coerper, P.

    1992-01-01T23:59:59.000Z

    Before the year 2000, more than one quarter of U.S. businesses will be firing Alternate Fuels in their boiler systems. And, the trend toward using Process Gases, Flammable Liquids, and Volatile Organic Compounds (VOC's), to supplement fossil fuels...

  9. Model of U3Si2 Fuel System using BISON Fuel Code

    SciTech Connect (OSTI)

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

    2014-04-01T23:59:59.000Z

    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.

  10. Stationary and Portable Fuel Cell Systems Codes and Standards Citations (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-05-01T23:59:59.000Z

    This document lists codes and standards typically used for U.S. stationary and portable fuel cell systems.

  11. Opportunistic Source Coding for Data Gathering in Wireless Sensor Networks

    E-Print Network [OSTI]

    1 Opportunistic Source Coding for Data Gathering in Wireless Sensor Networks Tao Cui, Lijun Chen capacity of multihop wireless networks, an important topic addressed by wireless sensor networks community for correlated data gathering in wireless sensor networks, which ex- ploits the broadcast nature of wireless

  12. Agri Source Fuels | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCaliforniaWeifangwikiAgoura Hills, California:

  13. Assessment of SFR fuel pin performance codes under advanced fuel for minor actinide transmutation

    SciTech Connect (OSTI)

    Bouineau, V.; Lainet, M.; Chauvin, N.; Pelletier, M. [French Alternative Energies and Atomic Energy Commission - CEA, CEA Cadarache, DEN/DEC/SESC, 13108 Saint Paul lez Durance (France); Di Marcello, V.; Van Uffelen, P.; Walker, C. [European Commission, Joint Research Centre, Institute for Transuranium Elements, Hermann-von-Helmholtz-Platz 1, D- 76344 Eggenstein-Leopoldshafen (Germany)

    2013-07-01T23:59:59.000Z

    Americium is a strong contributor to the long term radiotoxicity of high activity nuclear waste. Transmutation by irradiation in nuclear reactors of long-lived nuclides like {sup 241}Am is, therefore, an option for the reduction of radiotoxicity and residual power packages as well as the repository area. In the SUPERFACT Experiment four different oxide fuels containing high and low concentrations of {sup 237}Np and {sup 241}Am, representing the homogeneous and heterogeneous in-pile recycling concepts, were irradiated in the PHENIX reactor. The behavior of advanced fuel materials with minor actinide needs to be fully characterized, understood and modeled in order to optimize the design of this kind of fuel elements and to evaluate its performances. This paper assesses the current predictability of fuel performance codes TRANSURANUS and GERMINAL V2 on the basis of post irradiation examinations of the SUPERFACT experiment for pins with low minor actinide content. Their predictions have been compared to measured data in terms of geometrical changes of fuel and cladding, fission gases behavior and actinide and fission product distributions. The results are in good agreement with the experimental results, although improvements are also pointed out for further studies, especially if larger content of minor actinide will be taken into account in the codes. (authors)

  14. Uncertainties in source term calculations generated by the ORIGEN2 computer code for Hanford Production Reactors

    SciTech Connect (OSTI)

    Heeb, C.M.

    1991-03-01T23:59:59.000Z

    The ORIGEN2 computer code is the primary calculational tool for computing isotopic source terms for the Hanford Environmental Dose Reconstruction (HEDR) Project. The ORIGEN2 code computes the amounts of radionuclides that are created or remain in spent nuclear fuel after neutron irradiation and radioactive decay have occurred as a result of nuclear reactor operation. ORIGEN2 was chosen as the primary code for these calculations because it is widely used and accepted by the nuclear industry, both in the United States and the rest of the world. Its comprehensive library of over 1,600 nuclides includes any possible isotope of interest to the HEDR Project. It is important to evaluate the uncertainties expected from use of ORIGEN2 in the HEDR Project because these uncertainties may have a pivotal impact on the final accuracy and credibility of the results of the project. There are three primary sources of uncertainty in an ORIGEN2 calculation: basic nuclear data uncertainty in neutron cross sections, radioactive decay constants, energy per fission, and fission product yields; calculational uncertainty due to input data; and code uncertainties (i.e., numerical approximations, and neutron spectrum-averaged cross-section values from the code library). 15 refs., 5 figs., 5 tabs.

  15. Alternative Fuel Sources for Radioisotope Thermoelectric Generators 

    E-Print Network [OSTI]

    Parker, Trevor Drake

    2014-09-18T23:59:59.000Z

    configurations and materials would ideally be examined as well. Possible fuel assembly designs have been hypothesized by Ambrosi at the Nuclear and Emerging Technologies for Space Conference (2012) [4]. Preliminary research has shown that Am-241, Cm-242, Po.... AMBROSI, et al., “Development and Testing of Americium-241 Radioisotope Thermoelectric Generator: Concept Designs and Breadboard System,” Nuclear and Emerging Technologies for Space, (2012). 5. M. RAGHEB, “Radioisotopes Power Production,” mragheb...

  16. Alternaive Fuel Sources For Radioisotope Thermoelectric Generators 

    E-Print Network [OSTI]

    Gonzalez, Evan Sebastain

    2015-04-23T23:59:59.000Z

    configurations and materials would ideally be examined as well. Possible fuel assembly designs have been hypothesized by Ambrosi at the Nuclear and Emerging Technologies for Space Conference (2012) [4]. Preliminary research has shown that Am-241, Cm-242, Po.... AMBROSI, et al., “Development and Testing of Americium-241 Radioisotope Thermoelectric Generator: Concept Designs and Breadboard System,” Nuclear and Emerging Technologies for Space, (2012). 5. M. RAGHEB, “Radioisotopes Power Production,” mragheb...

  17. Development of parallel DEM for the open source code MFIX

    SciTech Connect (OSTI)

    Gopalakrishnan, Pradeep; Tafti, Danesh

    2013-02-01T23:59:59.000Z

    The paper presents the development of a parallel Discrete Element Method (DEM) solver for the open source code, Multiphase Flow with Interphase eXchange (MFIX) based on the domain decomposition method. The performance of the code was evaluated by simulating a bubbling fluidized bed with 2.5 million particles. The DEM solver shows strong scalability up to 256 processors with an efficiency of 81%. Further, to analyze weak scaling, the static height of the fluidized bed was increased to hold 5 and 10 million particles. The results show that global communication cost increases with problem size while the computational cost remains constant. Further, the effects of static bed height on the bubble hydrodynamics and mixing characteristics are analyzed.

  18. Codes and Standards Requirements for Deployment of Emerging Fuel Cell Technologies

    SciTech Connect (OSTI)

    Burgess, R.; Buttner, W.; Riykin, C.

    2011-12-01T23:59:59.000Z

    The objective of this NREL report is to provide information on codes and standards (of two emerging hydrogen power fuel cell technology markets; forklift trucks and backup power units), that would ease the implementation of emerging fuel cell technologies. This information should help project developers, project engineers, code officials and other interested parties in developing and reviewing permit applications for regulatory compliance.

  19. Alternative Fuels Data Center: Codes and Standards Basics

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageStationGreenhouse Gas (GHG)North CarolinaAFDC Printable

  20. Identification and Analysis of Critical Gaps in Nuclear Fuel Cycle Codes Required by the SINEMA Program

    SciTech Connect (OSTI)

    Adrian Miron; Joshua Valentine; John Christenson; Majd Hawwari; Santosh Bhatt; Mary Lou Dunzik-Gougar: Michael Lineberry

    2009-10-01T23:59:59.000Z

    The current state of the art in nuclear fuel cycle (NFC) modeling is an eclectic mixture of codes with various levels of applicability, flexibility, and availability. In support of the advanced fuel cycle systems analyses, especially those by the Advanced Fuel Cycle Initiative (AFCI), Unviery of Cincinnati in collaboration with Idaho State University carried out a detailed review of the existing codes describing various aspects of the nuclear fuel cycle and identified the research and development needs required for a comprehensive model of the global nuclear energy infrastructure and the associated nuclear fuel cycles. Relevant information obtained on the NFC codes was compiled into a relational database that allows easy access to various codes' properties. Additionally, the research analyzed the gaps in the NFC computer codes with respect to their potential integration into programs that perform comprehensive NFC analysis.

  1. Validation of the BISON 3D Fuel Performance Code: Temperature Comparisons for Concentrically and Eccentrically Located Fuel Pellets

    SciTech Connect (OSTI)

    J. D. Hales; D. M. Perez; R. L. Williamson; S. R. Novascone; B. W. Spencer

    2013-03-01T23:59:59.000Z

    BISON is a modern finite-element based nuclear fuel performance code that has been under development at the Idaho National Laboratory (USA) since 2009. The code is applicable to both steady and transient fuel behaviour and is used to analyse either 2D axisymmetric or 3D geometries. BISON has been applied to a variety of fuel forms including LWR fuel rods, TRISO-coated fuel particles, and metallic fuel in both rod and plate geometries. Code validation is currently in progress, principally by comparison to instrumented LWR fuel rods. Halden IFA experiments constitute a large percentage of the current BISON validation base. The validation emphasis here is centreline temperatures at the beginning of fuel life, with comparisons made to seven rods from the IFA-431 and 432 assemblies. The principal focus is IFA-431 Rod 4, which included concentric and eccentrically located fuel pellets. This experiment provides an opportunity to explore 3D thermomechanical behaviour and assess the 3D simulation capabilities of BISON. Analysis results agree with experimental results showing lower fuel centreline temperatures for eccentric fuel with the peak temperature shifted from the centreline. The comparison confirms with modern 3D analysis tools that the measured temperature difference between concentric and eccentric pellets is not an artefact and provides a quantitative explanation for the difference.

  2. SOURCES-3A: A code for calculating ({alpha}, n), spontaneous fission, and delayed neutron sources and spectra

    SciTech Connect (OSTI)

    Perry, R.T.; Wilson, W.B.; Charlton, W.S.

    1998-04-01T23:59:59.000Z

    In many systems, it is imperative to have accurate knowledge of all significant sources of neutrons due to the decay of radionuclides. These sources can include neutrons resulting from the spontaneous fission of actinides, the interaction of actinide decay {alpha}-particles in ({alpha},n) reactions with low- or medium-Z nuclides, and/or delayed neutrons from the fission products of actinides. Numerous systems exist in which these neutron sources could be important. These include, but are not limited to, clean and spent nuclear fuel (UO{sub 2}, ThO{sub 2}, MOX, etc.), enrichment plant operations (UF{sub 6}, PuF{sub 4}, etc.), waste tank studies, waste products in borosilicate glass or glass-ceramic mixtures, and weapons-grade plutonium in storage containers. SOURCES-3A is a computer code that determines neutron production rates and spectra from ({alpha},n) reactions, spontaneous fission, and delayed neutron emission due to the decay of radionuclides in homogeneous media (i.e., a mixture of {alpha}-emitting source material and low-Z target material) and in interface problems (i.e., a slab of {alpha}-emitting source material in contact with a slab of low-Z target material). The code is also capable of calculating the neutron production rates due to ({alpha},n) reactions induced by a monoenergetic beam of {alpha}-particles incident on a slab of target material. Spontaneous fission spectra are calculated with evaluated half-life, spontaneous fission branching, and Watt spectrum parameters for 43 actinides. The ({alpha},n) spectra are calculated using an assumed isotropic angular distribution in the center-of-mass system with a library of 89 nuclide decay {alpha}-particle spectra, 24 sets of measured and/or evaluated ({alpha},n) cross sections and product nuclide level branching fractions, and functional {alpha}-particle stopping cross sections for Z < 106. The delayed neutron spectra are taken from an evaluated library of 105 precursors. The code outputs the magnitude and spectra of the resultant neutron source. It also provides an analysis of the contributions to that source by each nuclide in the problem.

  3. Joint block-based video source/channel coding for packet-switched networks

    E-Print Network [OSTI]

    Pappas, Thrasyvoulos N.

    Joint block-based video source/channel coding for packet-switched networks R. 0. Hindsa, T. N. Keywords: Video coding, Packet loss, Internet, Joint source/channel coding 1. INTRODUCTION BlockD-336 600 Mountain Avenue Murray Hill, NJ 07974-0636 USA ABSTRACT Block-based video coders rely

  4. Indexing the Java API Using Source Code Homan Ma, Robert Amor, Ewan Tempero

    E-Print Network [OSTI]

    Amor, Robert

    Standard API. The rest of this paper is organised as follows. In the next section, we discuss related workIndexing the Java API Using Source Code Homan Ma, Robert Amor, Ewan Tempero Department of Computer code as the basis for the index. Keywords: Java Standard API, Software Repositories, Source Code

  5. Alternative Fuels Data Center: Codes and Standards Resources

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageStationGreenhouse Gas (GHG)North CarolinaAFDC PrintableAFDC

  6. KUALI TIPS FOR CAPITAL ASSETS NEW OBJECT CODES: These are based upon the Funding Source Code. Owner Field shows Title now.

    E-Print Network [OSTI]

    KUALI TIPS FOR CAPITAL ASSETS NEW OBJECT CODES: These are based upon the Funding Source Code. Owner Field shows Title now. Decal # Historical Sub Code New Object Code Description Comments OBJECT CODES: To determine which Object Code you should use, you will need to look up the Account Fund

  7. NREL: Hydrogen and Fuel Cells Research - Safety, Codes, and Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NREL isData andEvaluationResearch

  8. Combined source-channel coding for a power and bandwidth constrained noisy channel

    E-Print Network [OSTI]

    Raja, Nouman Saeed

    2005-02-17T23:59:59.000Z

    This thesis proposes a framework for combined source-channel coding under power and bandwidth constrained noisy channel. The framework is then applied to progressive image coding transmission using constant envelope M-ary Phase Shift Key (MPSK...

  9. Alternative Fuels and Advanced Vehicles Data Center - Codes and Standards

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place: Wayne,EnergyInfrastructure |Alternative Fuels Data

  10. Stationary and Portable Fuel Cell Systems Codes and Standards Citations |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretaryVideosSpringout byDevelopmentTurkey |DepartmentDepartment of

  11. Code Analyses Supporting PIE of Weapons-Grade MOX Fuel

    SciTech Connect (OSTI)

    Ott, Larry J [ORNL; Bevard, Bruce Balkcom [ORNL; Spellman, Donald J [ORNL; McCoy, Kevin [AREVA Federal Services LLC

    2010-01-01T23:59:59.000Z

    The U.S. Department of energy has decided to dispose of a portion of the nation's surplus weapons-grade plutonium by reconstituting it into mixed oxide (MOX) fuel and irradiating the fuel in commercial power reactors. Four lead test assemblies (LTAs) were manufactured with weapons-grade mixed oxide (WG-MOX) fuel and irradiated in the Catawba Nuclear Station Unit 1, to a maximum fuel rod burnup of ~47.3 GWd/MTHM. As part of the fuel qualification process, five rods with varying burnups and initial plutonium contents were selected from one assembly and shipped to the Oak Ridge National Laboratory (ORNL) for hot cell examination. ORNL has provided analytical support for the post-irradiation examination (PIE) of these rods via extensive fuel performance modeling which has aided in instrument settings and PIE data interpretation. The results of these fuel performance simulations are compared in this paper with available PIE data.

  12. Turbo Codes for Binary Markov Sources 1 Guang-Chong Zhu and Fady Alajaji

    E-Print Network [OSTI]

    Linder, Tamás

    Turbo Codes for Binary Markov Sources 1 Guang-Chong Zhu and Fady Alajaji Dept. of Mathematics@mast.queensu.ca Abstract | The reliable transmission via Turbo codes of binary stationary ergodic Markov sources over noisy channels is investigated. The #12;rst con- stituent Turbo decoder is designed to exploit the source

  13. Spent fuel management fee methodology and computer code user's manual.

    SciTech Connect (OSTI)

    Engel, R.L.; White, M.K.

    1982-01-01T23:59:59.000Z

    The methodology and computer model described here were developed to analyze the cash flows for the federal government taking title to and managing spent nuclear fuel. The methodology has been used by the US Department of Energy (DOE) to estimate the spent fuel disposal fee that will provide full cost recovery. Although the methodology was designed to analyze interim storage followed by spent fuel disposal, it could be used to calculate a fee for reprocessing spent fuel and disposing of the waste. The methodology consists of two phases. The first phase estimates government expenditures for spent fuel management. The second phase determines the fees that will result in revenues such that the government attains full cost recovery assuming various revenue collection philosophies. These two phases are discussed in detail in subsequent sections of this report. Each of the two phases constitute a computer module, called SPADE (SPent fuel Analysis and Disposal Economics) and FEAN (FEe ANalysis), respectively.

  14. Potential-field geophysical programs for VAX 7xx computers; source code (programs H-P)

    SciTech Connect (OSTI)

    Not Available

    1989-01-01T23:59:59.000Z

    A U.S. Geological Survey report is presented giving source code for potential-field geophysical programs (programs H-P) for VAX 7xx computers.

  15. Potential-field geophysical programs for VAX 7xx computers; source code (programs A-G)

    SciTech Connect (OSTI)

    Not Available

    1989-01-01T23:59:59.000Z

    A U.S. Geological Survey report is presented giving the source code of potential-field geophysical programs (programs A-G) for VAX 7xx computers.

  16. Potential-field geophysical programs for VAX 7xx computers; source code (programs R-Y)

    SciTech Connect (OSTI)

    Not Available

    1989-01-01T23:59:59.000Z

    A U.S. Geological Survey report is presented giving source code for Potential-field geophysical programs (programs R-Y) for VAX 7xx computers.

  17. An improved structural mechanics model for the FRAPCON nuclear fuel performance code

    E-Print Network [OSTI]

    Mieloszyk, Alexander James

    2012-01-01T23:59:59.000Z

    In order to provide improved predictions of Pellet Cladding Mechanical Interaction (PCMI) for the FRAPCON nuclear fuel performance code, a new model, the FRAPCON Radial-Axial Soft Pellet (FRASP) model, was developed. This ...

  18. Hydrogen, Fuel Cells & Infrastructure Technologies ProgramHydrogen, Fuel Cells & Infrastructure Technologies Program Hydrogen Codes &

    E-Print Network [OSTI]

    : Facilitate the creation and adoption of model building codes and equipment standards for hydrogen systems of hydrogen building codes for NFPA's hearing cycle. Facilitate in the adoption of the ICC codes in three key for hydrogen refueling and storage, by 2006; · Complete and adopt the revised NFPA 55 standard for hydrogen

  19. Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics

    E-Print Network [OSTI]

    Tjortjis, Christos

    Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics of the entire system. In this paper, we propose a method for interpreting source code clusters using the ISO/IEC assessment of software systems in terms of the quality characteristics defined by ISO/IEC 9126. These methods

  20. Nuclear Forensics Attributing the Source of Spent Fuel Used in an RDD Event

    SciTech Connect (OSTI)

    M.R. Scott

    2005-06-01T23:59:59.000Z

    An RDD attack against the U.S. is something America needs to prepare against. If such an event occurs the ability to quickly identify the source of the radiological material used in an RDD would aid investigators in identifying the perpetrators. Spent fuel is one of the most dangerous possible radiological sources for an RDD. In this work, a forensics methodology was developed and implemented to attribute spent fuel to a source reactor. The specific attributes determined are the spent fuel burnup, age from discharge, reactor type, and initial fuel enrichment. It is shown that by analyzing the post-event material, these attributes can be determined with enough accuracy to be useful for investigators. The burnup can be found within a 5% accuracy, enrichment with a 2% accuracy, and age with a 10% accuracy. Reactor type can be determined if specific nuclides are measured. The methodology developed was implemented into a code call NEMASYS. NEMASYS is easy to use and it takes a minimum amount of time to learn its basic functions. It will process data within a few minutes and provide detailed information about the results and conclusions.

  1. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from0

  2. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4 Relative Standard

  3. "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4 Relative

  4. "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4 Relative2.4

  5. Securing software : an evaluation of static source code analyzers

    E-Print Network [OSTI]

    Zitser, Misha, 1979-

    2003-01-01T23:59:59.000Z

    This thesis evaluated five static analysis tools--Polyspace C Verifier, ARCHER, BOON, Splint, and UNO--using 14 code examples that illustrated actual buffer overflow vulnerabilities found in various versions of Sendmail, ...

  6. Enhancing the ABAQUS Thermomechanics Code to Simulate Steady and Transient Fuel Rod Behavior

    SciTech Connect (OSTI)

    R. L. Williamson; D. A. Knoll

    2009-09-01T23:59:59.000Z

    A powerful multidimensional fuels performance capability, applicable to both steady and transient fuel behavior, is developed based on enhancements to the commercially available ABAQUS general-purpose thermomechanics code. Enhanced capabilities are described, including: UO2 temperature and burnup dependent thermal properties, solid and gaseous fission product swelling, fuel densification, fission gas release, cladding thermal and irradiation creep, cladding irradiation growth , gap heat transfer, and gap/plenum gas behavior during irradiation. The various modeling capabilities are demonstrated using a 2D axisymmetric analysis of the upper section of a simplified multi-pellet fuel rod, during both steady and transient operation. Computational results demonstrate the importance of a multidimensional fully-coupled thermomechanics treatment. Interestingly, many of the inherent deficiencies in existing fuel performance codes (e.g., 1D thermomechanics, loose thermo-mechanical coupling, separate steady and transient analysis, cumbersome pre- and post-processing) are, in fact, ABAQUS strengths.

  7. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of1 Offsite-Produced Fuel

  8. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of1 Offsite-Produced Fuel2

  9. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of1 Offsite-Produced Fuel24.4

  10. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.544.42.4

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability

  12. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy1 Electricity:6

  13. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy1 Electricity:66

  14. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy1 Electricity:666

  15. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number of

  16. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number of1.

  17. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number

  18. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number1

  19. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number12

  20. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number124

  1. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number1241

  2. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1. Number12412

  3. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.

  4. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4 Number

  5. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4 Number1

  6. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4 Number12

  7. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4

  8. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.41

  9. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.412

  10. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4122.4

  11. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4122.41

  12. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182C3.1.2.4122.412

  13. " Row: NAICS Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of

  14. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11.1.1.

  15. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11.1.1.2.

  16. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11.1.1.2.1.

  17. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.

  18. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1. Offsite-Produced

  19. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.

  20. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number of2.4

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number4.4

  3. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number4.41

  4. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number4.413

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number4.4133

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4

  7. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number of

  8. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number of9

  9. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number of91

  10. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number3

  12. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number30.5

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47 Number30.57

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.47

  15. Accident source terms for light-water nuclear power plants using high-burnup or MOX fuel.

    SciTech Connect (OSTI)

    Salay, Michael (U.S. Nuclear Regulatory Commission, Washington, D.C.); Gauntt, Randall O.; Lee, Richard Y. (U.S. Nuclear Regulatory Commission, Washington, D.C.); Powers, Dana Auburn; Leonard, Mark Thomas

    2011-01-01T23:59:59.000Z

    Representative accident source terms patterned after the NUREG-1465 Source Term have been developed for high burnup fuel in BWRs and PWRs and for MOX fuel in a PWR with an ice-condenser containment. These source terms have been derived using nonparametric order statistics to develop distributions for the timing of radionuclide release during four accident phases and for release fractions of nine chemical classes of radionuclides as calculated with the MELCOR 1.8.5 accident analysis computer code. The accident phases are those defined in the NUREG-1465 Source Term - gap release, in-vessel release, ex-vessel release, and late in-vessel release. Important differences among the accident source terms derived here and the NUREG-1465 Source Term are not attributable to either fuel burnup or use of MOX fuel. Rather, differences among the source terms are due predominantly to improved understanding of the physics of core meltdown accidents. Heat losses from the degrading reactor core prolong the process of in-vessel release of radionuclides. Improved understanding of the chemistries of tellurium and cesium under reactor accidents changes the predicted behavior characteristics of these radioactive elements relative to what was assumed in the derivation of the NUREG-1465 Source Term. An additional radionuclide chemical class has been defined to account for release of cesium as cesium molybdate which enhances molybdenum release relative to other metallic fission products.

  16. INSPECTING THE SOURCE CODE THAT IMPLEMENTS THE PPP PROTOCOL IN LINUX

    E-Print Network [OSTI]

    Smith, Spencer

    INSPECTING THE SOURCE CODE THAT IMPLEMENTS THE PPP PROTOCOL IN LINUX By SRDJAN RUSOVAN, B Code that Implements the PPP Protocol in Linux AUTHOR: Srdjan Rusovan, B.Sc. (University of Belgrade: viii, 145 #12;iii ABSTRACT The Point-to-Point Protocol (PPP) is a widely accepted standard used

  17. The Random Energy Model in a Magnetic Field and Joint SourceChannel Coding

    E-Print Network [OSTI]

    Merhav, Neri

    the ensemble performance (random coding exponents) of joint source­channel codes to the free energy of the REM to the free energies in the various phases of the phase diagram. While the above­described relation takes to the free energy of the REM in its different phases. The outline of this paper is as follows. In Section 2

  18. A Deterministic Annealing Approach to Optimization of Zero-delay Source-Channel Codes

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    -channel codes, and specifically the problem of obtaining globally optimal transformations that map between. In this paper, we incorporate a powerful non-convex optimization method, deterministic annealing, withinA Deterministic Annealing Approach to Optimization of Zero-delay Source-Channel Codes Mustafa S

  19. Static Detection of API Error-Handling Bugs via Mining Source Code

    E-Print Network [OSTI]

    Young, R. Michael

    Static Detection of API Error-Handling Bugs via Mining Source Code Mithun Acharya and Tao Xie error specifi- cations automatically from software package repositories, without requiring any user inter-procedurally scattered and not always correctly coded by the programmers, manually inferring

  20. Successive structuring of source coding algorithms for data fusion, buffering, and distribution in networks

    E-Print Network [OSTI]

    Draper, Stark Christiaan.

    2002-01-01T23:59:59.000Z

    (cont.) We also explore the interactions between source coding and queue management in problems of buffering and distributing distortion-tolerant data. We formulate a general queuing model relevant to numerous communication ...

  1. On Causal Source Codes with Side Information # Tsachy Weissman Neri Merhav

    E-Print Network [OSTI]

    Merhav, Neri

    coding of a memoryless source ``if the future is not allowed to be looked into, the past is useless­ Israel Institute of Technology, Haifa 32000, Israel. E­mail: merhav@ee.technion.ac.il. 1 #12; to the case

  2. Feasibility of fissile mass assay of spent nuclear fuel using {sup 252}Cf-source-driven frequency-analysis

    SciTech Connect (OSTI)

    Mattingly, J.K.; Valentine, T.E.; Mihalczo, J.T.

    1996-10-01T23:59:59.000Z

    The feasibility was evaluated using MCNP-DSP, an analog Monte Carlo transport cod to simulate source-driven measurements. Models of an isolated Westinghouse 17x17 PWR fuel assembly in a 1500-ppM borated water storage pool were used. In the models, the fuel burnup profile was represented using seven axial burnup zones, each with isotopics estimated by the PDQ code. Four different fuel assemblies with average burnups from fresh to 32 GWd/MTU were modeled and analyzed. Analysis of the fuel assemblies was simulated by inducing fission in the fuel using a {sup 252}Cf source adjacent to the assembly and correlating source fissions with the response of a bank of {sup 3}He detectors adjacent to the assembly opposite the source. This analysis was performed at 7 different axial positions on each of the 4 assemblies, and the source-detector cross-spectrum signature was calculated for each of these 28 simulated measurements. The magnitude of the cross-spectrum signature follows a smooth upward trend with increasing fissile material ({sup 235}U and {sup 239}Pu) content, and the signature is independent of the concentration of spontaneously fissioning isotopes (e.g., {sup 244}Cm) and ({alpha},n) sources. Furthermore, the cross-spectrum signature is highly sensitive to changes in fissile material content. This feasibility study indicated that the signature would increase {similar_to}100% in response to an increase of only 0.1 g/cm{sup 3} of fissile material.

  3. Fuel Source Isotopic Tailoring Impact on ITER Design, Operation and Safety

    E-Print Network [OSTI]

    1 Fuel Source Isotopic Tailoring and Its Impact on ITER Design, Operation and Safety M. J. Gouge, W. The isotopic tailoring concept consists of utilizing a tritium-rich pellet source for core fueling and a deuterium- rich gas source for edge fueling. Because of the improved particle confinement associated

  4. A dynamic, dependent type system for nuclear fuel cycle code generation

    SciTech Connect (OSTI)

    Scopatz, A. [The University of Chicago 5754 S. Ellis Ave, Chicago, IL 60637 (United States)

    2013-07-01T23:59:59.000Z

    The nuclear fuel cycle may be interpreted as a network or graph, thus allowing methods from formal graph theory to be used. Nodes are often idealized as nuclear fuel cycle facilities (reactors, enrichment cascades, deep geologic repositories). With the advent of modern object-oriented programming languages - and fuel cycle simulators implemented in these languages - it is natural to define a class hierarchy of facility types. Bright is a quasi-static simulator, meaning that the number of material passes through a facility is tracked rather than natural time. Bright is implemented as a C++ library that models many canonical components such as reactors, storage facilities, and more. Cyclus is a discrete time simulator, meaning that natural time is tracked through out the simulation. Therefore a robust, dependent type system was developed to enable inter-operability between Bright and Cyclus. This system is capable of representing any fuel cycle facility. Types declared in this system can then be used to automatically generate code which binds a facility implementation to a simulator front end. Facility model wrappers may be used either internally to a fuel cycle simulator or as a mechanism for inter-operating multiple simulators. While such a tool has many potential use cases it has two main purposes: enabling easy performance of code-to-code comparisons and the verification and the validation of user input.

  5. Recent Updates to NRC Fuel Performance Codes and Plans for Future Improvements

    SciTech Connect (OSTI)

    Geelhood, Kenneth J.

    2011-12-31T23:59:59.000Z

    FRAPCON-3.4a and FRAPTRAN 1.4 are the most recent versions of the U.S. Nuclear Regulatory Commission (NRC) steady-state and transient fuel performance codes, respectively. These codes have been assessed against separate effects data and integral assessment data and have been determined to provide a best estimate calculation of fuel performance. Recent updates included in FRAPCON-3.4a include updated material properties models, models for new fuel and cladding types, cladding finite element analysis capability, and capability to perform uncertainty analyses and calculate upper tolerance limits for important outputs. Recent updates included in FRAPTRAN 1.4 include: material properties models that are consistent with FRAPCON-3.4a, cladding failure models that are applicable for loss-of coolant-accident and reactivity initiated accident modeling, and updated heat transfer models. This paper briefly describes these code updates and data assessments, highlighting the particularly important improvements and data assessments. This paper also discusses areas of improvements that will be addressed in upcoming code versions.

  6. Implementation of a Graphical Modelica Editor with Preserved Source Code Formatting

    E-Print Network [OSTI]

    Implementation of a Graphical Modelica Editor with Preserved Source Code Formatting Tobias A of the same document is often essential. An example of this is Modelica models, where it should be possible of Modelica is the open source platform JModelica.org. It contains the Eclipse-based JModelica.org IDE

  7. Energy-Neutral Source-Channel Coding in Energy-Harvesting Wireless Sensors

    E-Print Network [OSTI]

    Zemen, Thomas

    , New Jersey, USA Dept. of ECE, Polytechnic Inst. of NYU, New York, USA Abstract--This work addresses1 Energy-Neutral Source-Channel Coding in Energy-Harvesting Wireless Sensors P. Castiglione, O the problem of energy alloca- tion over source processing and transmission for a single energy- harvesting

  8. Energy-Neutral Source-Channel Coding in Energy-Harvesting Wireless Sensors

    E-Print Network [OSTI]

    Simeone, Osvaldo

    , New Jersey, USA Dept. of ECE, Polytechnic Inst. of NYU, New York, USA Abstract--This work addressesEnergy-Neutral Source-Channel Coding in Energy-Harvesting Wireless Sensors P. Castiglione, O the problem of energy allo- cation over source compression and transmission for a single energy

  9. Journal of Power Sources 160 (2006) 10581064 Passive direct formic acid microfabricated fuel cells

    E-Print Network [OSTI]

    Kenis, Paul J. A.

    2006-01-01T23:59:59.000Z

    Journal of Power Sources 160 (2006) 1058­1064 Passive direct formic acid microfabricated fuel cells on microscale silicon-based direct formic acid fuel cells (Si-DFAFCs) in which the fuel and the oxidant. Keywords: Micro fuel cell; Membrane electrode assembly; Formic acid; Passive fuel cell 1. Introduction Many

  10. Optimized Analog Mappings for Distributed Source-Channel Coding

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    to a prescribed power constraint and assuming the mean square error distortion measure. Closed-form necessary systems, by mapping multiple source intervals to the same channel interval. Example mappings for this setup is sensor networks where sensor measurements are correlated but are not encoded jointly due

  11. Building guide : how to build Xyce from source code.

    SciTech Connect (OSTI)

    Keiter, Eric Richard; Russo, Thomas V.; Schiek, Richard Louis; Sholander, Peter E.; Thornquist, Heidi K.; Mei, Ting; Verley, Jason C.

    2013-08-01T23:59:59.000Z

    While Xyce uses the Autoconf and Automake system to configure builds, it is often necessary to perform more than the customary %E2%80%9C./configure%E2%80%9D builds many open source users have come to expect. This document describes the steps needed to get Xyce built on a number of common platforms.

  12. Multiple description source coding for mobile radio channels

    E-Print Network [OSTI]

    Pegnyemb, Telesphore Bertrand

    1999-01-01T23:59:59.000Z

    The topic of this thesis is the transmission of a memoryless source over a slow fading channel. It should be noted that when a channel is specified as a slow fading channel, it does not specify whether the channel is flat or frequency selective...

  13. Modeling and Analysis of FCM UN TRISO Fuel Using the PARFUME Code

    SciTech Connect (OSTI)

    Blaise Collin

    2013-09-01T23:59:59.000Z

    The PARFUME (PARticle Fuel ModEl) modeling code was used to assess the overall fuel performance of uranium nitride (UN) tri-structural isotropic (TRISO) ceramic fuel in the frame of the design and development of Fully Ceramic Matrix (FCM) fuel. A specific modeling of a TRISO particle with UN kernel was developed with PARFUME, and its behavior was assessed in irradiation conditions typical of a Light Water Reactor (LWR). The calculations were used to access the dimensional changes of the fuel particle layers and kernel, 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 pyrolytic carbon (PyC) 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 are unknown at the irradiation levels expected to be reached by UN TRISO fuel in LWRs. Therefore, more effort is needed to determine them and positively conclude on the applicability of FCM fuel to LWRs.

  14. IllinoisGRMHD: An Open-Source, User-Friendly GRMHD Code for Dynamical Spacetimes

    E-Print Network [OSTI]

    Zachariah B. Etienne; Vasileios Paschalidis; Roland Haas; Philipp Moesta; Stuart L. Shapiro

    2015-01-28T23:59:59.000Z

    In the extreme violence of merger and mass accretion, compact objects like black holes and neutron stars are thought to launch some of the most luminous outbursts of electromagnetic and gravitational wave energy in the Universe. Modeling these systems realistically is a central problem in theoretical astrophysics, but has proven extremely challenging, requiring the development of numerical relativity codes that solve Einstein's equations for the spacetime, coupled to the equations of general relativistic (ideal) magnetohydrodynamics (GRMHD) for the magnetized fluids. Over the past decade, the Illinois Numerical Relativity (ILNR) Group's dynamical spacetime, GRMHD code has proven itself as one of the most robust and reliable tools for theoretical modeling of such GRMHD phenomena. Despite the code's outstanding reputation, it was written "by experts and for experts" of the code, with a steep learning curve that would severely hinder community adoption if it were open-sourced. Here we present IllinoisGRMHD, which is an open-source, highly-extensible rewrite of the original closed-source GRMHD code of the ILNR Group. Reducing the learning curve was the primary focus of this rewrite, facilitating community involvement in the code's use and development, as well as the minimization of human effort in generating new science. IllinoisGRMHD also saves computer time, generating roundoff-precision identical output to the original code on adaptive-mesh grids, but nearly twice as fast at scales of hundreds to thousands of cores.

  15. Performance of Turbo Product Codes on the Multiple-Access Relay Channel with Relatively Poor Source-Relay Links

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Performance of Turbo Product Codes on the Multiple-Access Relay Channel with Relatively Poor Source.amis}@telecom-bretagne.eu Abstract--In this paper, we study a cooperative coding scheme based on turbo product codes where a number by the turbo decoder. The error performance under the degraded source-relay channel condition is shown

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

    SciTech Connect (OSTI)

    Blaise Collin

    2014-08-01T23:59:59.000Z

    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.

  17. FRAPCON-2: A Computer Code for the Calculation of Steady State Thermal-Mechanical Behavior of Oxide Fuel Rods

    SciTech Connect (OSTI)

    Berna, G. A; Bohn, M. P.; Rausch, W. N.; Williford, R. E.; Lanning, D. D.

    1981-01-01T23:59:59.000Z

    FRAPCON-2 is a FORTRAN IV computer code that calculates the steady state response of light Mater reactor fuel rods during long-term burnup. The code calculates the temperature, pressure, deformation, and tai lure histories of a fuel rod as functions of time-dependent fuel rod power and coolant boundary conditions. The phenomena modeled by the code include (a) heat conduction through the fuel and cladding, (b) cladding elastic and plastic deformation, (c) fuel-cladding mechanical interaction, (d) fission gas release, (e} fuel rod internal gas pressure, (f) heat transfer between fuel and cladding, (g) cladding oxidation, and (h) heat transfer from cladding to coolant. The code contains necessary material properties, water properties, and heat transfer correlations. FRAPCON-2 is programmed for use on the CDC Cyber 175 and 176 computers. The FRAPCON-2 code Is designed to generate initial conditions for transient fuel rod analysis by either the FRAP-T6 computer code or the thermal-hydraulic code, RELAP4/MOD7 Version 2.

  18. Thermomechanical simulation of the DIAMINO irradiation experiment using the LICOS fuel design code

    SciTech Connect (OSTI)

    Bejaoui, S.; Helfer, T.; Brunon, E.; Lambert, T. [Commissariat a l'Energie Atomique - CEA, Centre de Cadarache, 13108 St-Paul-lez-Durance (France); Bendotti, S.; Neyroud, C. [Commissariat a l'Energie Atomique - CEA, Centre de Saclay, 91191 Gif sur Yvette (France)

    2013-07-01T23:59:59.000Z

    Two separate-effect experiments in the HFR and OSIRIS Material Test Reactors (MTRs) are currently under Post- Irradiation Examinations (MARIOS) and under preparation (DIAMINO) respectively. The main goal of these experiments is to investigate gaseous release and swelling of Am-bearing UO2-x fuels as a function of temperature, fuel microstructure and gas production rate. First, a brief description of the MARIOS and DIAMINO irradiations is provided. Then, the innovative experimental in-pile device specifically developed for the DIAMINO experiment is described. Eventually, the thermo-mechanical computations performed using the LICOS code are presented. These simulations support the DIAMINO experimental design and highlight some of the capabilities of the code. (authors)

  19. Integrated Fuel-Coolant Interaction (IFCI 6.0) code. User`s manual

    SciTech Connect (OSTI)

    Davis, F.J.; Young, M.F. [Sandia National Labs., Albuquerque, NM (United States)

    1994-04-01T23:59:59.000Z

    The integrated Fuel-Coolant interaction (IFCI) computer code is being developed at Sandia National Laboratories to investigate the fuel-coolant interaction (FCI) problem at large scale using a two-dimensional, four-field hydrodynamic framework and physically based models. IFCI will be capable of treating all major FCI processes in an integrated manner. This document is a product of the effort to generate a stand-alone version of IFCI, IFCI 6.0. The User`s Manual describes in detail the hydrodynamic method and physical models used in IFCI 6.0. Appendix A is an input manual, provided for the creation of working decks.

  20. A Coupling Methodology for Mesoscale-informed Nuclear Fuel Performance Codes

    SciTech Connect (OSTI)

    Michael Tonks; Derek Gaston; Cody Permann; Paul Millett; Glen Hansen; Dieter Wolf

    2010-10-01T23:59:59.000Z

    This study proposes an approach for capturing the effect of microstructural evolution on reactor fuel performance by coupling a mesoscale irradiated microstructure model with a finite element fuel performance code. To achieve this, the macroscale system is solved in a parallel, fully coupled, fully-implicit manner using the preconditioned Jacobian-free Newton Krylov (JFNK) method. Within the JFNK solution algorithm, microstructure-influenced material parameters are calculated by the mesoscale model and passed back to the macroscale calculation. Due to the stochastic nature of the mesoscale model, a dynamic fitting technique is implemented to smooth roughness in the calculated material parameters. The proposed methodology is demonstrated on a simple model of a reactor fuel pellet. In the model, INL’s BISON fuel performance code calculates the steady-state temperature profile in a fuel pellet and the microstructure-influenced thermal conductivity is determined with a phase field model of irradiated microstructures. This simple multiscale model demonstrates good nonlinear convergence and near ideal parallel scalability. By capturing the formation of large mesoscale voids in the pellet interior, the multiscale model predicted the irradiation-induced reduction in the thermal conductivity commonly observed in reactors.

  1. SOURCES 4C : a code for calculating ([alpha],n), spontaneous fission, and delayed neutron sources and spectra.

    SciTech Connect (OSTI)

    Wilson, W. B. (William B.); Perry, R. T. (Robert T.); Shores, E. F. (Erik F.); Charlton, W. S. (William S.); Parish, Theodore A.; Estes, G. P. (Guy P.); Brown, T. H. (Thomas H.); Arthur, Edward D. (Edward Dana),; Bozoian, Michael; England, T. R.; Madland, D. G.; Stewart, J. E. (James E.)

    2002-01-01T23:59:59.000Z

    SOURCES 4C is a computer code that determines neutron production rates and spectra from ({alpha},n) reactions, spontaneous fission, and delayed neutron emission due to radionuclide decay. The code is capable of calculating ({alpha},n) source rates and spectra in four types of problems: homogeneous media (i.e., an intimate mixture of a-emitting source material and low-Z target material), two-region interface problems (i.e., a slab of {alpha}-emitting source material in contact with a slab of low-Z target material), three-region interface problems (i.e., a thin slab of low-Z target material sandwiched between {alpha}-emitting source material and low-Z target material), and ({alpha},n) reactions induced by a monoenergetic beam of {alpha}-particles incident on a slab of target material. Spontaneous fission spectra are calculated with evaluated half-life, spontaneous fission branching, and Watt spectrum parameters for 44 actinides. The ({alpha},n) spectra are calculated using an assumed isotropic angular distribution in the center-of-mass system with a library of 107 nuclide decay {alpha}-particle spectra, 24 sets of measured and/or evaluated ({alpha},n) cross sections and product nuclide level branching fractions, and functional {alpha}-particle stopping cross sections for Z < 106. The delayed neutron spectra are taken from an evaluated library of 105 precursors. The code provides the magnitude and spectra, if desired, of the resultant neutron source in addition to an analysis of the'contributions by each nuclide in the problem. LASTCALL, a graphical user interface, is included in the code package.

  2. SOURCES 4A: A Code for Calculating (alpha,n), Spontaneous Fission, and Delayed Neutron Sources and Spectra

    SciTech Connect (OSTI)

    Madland, D.G.; Arthur, E.D.; Estes, G.P.; Stewart, J.E.; Bozoian, M.; Perry, R.T.; Parish, T.A.; Brown, T.H.; England, T.R.; Wilson, W.B.; Charlton, W.S.

    1999-09-01T23:59:59.000Z

    SOURCES 4A is a computer code that determines neutron production rates and spectra from ({alpha},n) reactions, spontaneous fission, and delayed neutron emission due to the decay of radionuclides. The code is capable of calculating ({alpha},n) source rates and spectra in four types of problems: homogeneous media (i.e., a mixture of {alpha}-emitting source material and low-Z target material), two-region interface problems (i.e., a slab of {alpha}-emitting source material in contact with a slab of low-Z target material), three-region interface problems (i.e., a thin slab of low-Z target material sandwiched between {alpha}-emitting source material and low-Z target material), and ({alpha},n) reactions induced by a monoenergetic beam of {alpha}-particles incident on a slab of target material. Spontaneous fission spectra are calculated with evaluated half-life, spontaneous fission branching, and Watt spectrum parameters for 43 actinides. The ({alpha},n) spectra are calculated using an assumed isotropic angular distribution in the center-of-mass system with a library of 89 nuclide decay {alpha}-particle spectra, 24 sets of measured and/or evaluated ({alpha},n) cross sections and product nuclide level branching fractions, and functional {alpha}-particle stopping cross sections for Z < 106. The delayed neutron spectra are taken from an evaluated library of 105 precursors. The code outputs the magnitude and spectra of the resultant neutron source. It also provides an analysis of the contributions to that source by each nuclide in the problem.

  3. Performance evaluation of the R6R018 fuel plate using PLATE code

    SciTech Connect (OSTI)

    Pavel G. Medvedev; Hakan Ozaltun

    2010-03-01T23:59:59.000Z

    The paper presents results of performance evaluation of the R6R018 fuel plate using PLATE code. R6R018 is a U-7Mo dispersion type mini-plate with Al-3.5Si matrix irradiated in the RERTR-9B experiment. The design of this plate is prototypical of the planned LEONIDAS irradiation test. Therefore, a detailed performance analysis of this plate is important to confirm acceptable behavior in pile, and to provide baseline and justification for further analysis and testing. Specific results presented in the paper include fuel temperature history, growth of the interaction layer between the U-Mo and the matrix, swelling, growth of the corrosion layer, and degradation of thermal conductivity. The methodology of the analysis will be discussed including the newly developed capability to account for the formation of the interaction layer during fuel fabrication.

  4. US Navy Tactical Fuels From Renewable Sources Program | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric Vehicle and Battery TechnologyDepartmentIndia Joint Center for

  5. SAFE: A computer code for the steady-state and transient thermal analysis of LMR fuel elements

    SciTech Connect (OSTI)

    Hayes, S.L.

    1993-12-01T23:59:59.000Z

    SAFE is a computer code developed for both the steady-state and transient thermal analysis of single LMR fuel elements. The code employs a two-dimensional control-volume based finite difference methodology with fully implicit time marching to calculate the temperatures throughout a fuel element and its associated coolant channel for both the steady-state and transient events. The code makes no structural calculations or predictions whatsoever. It does, however, accept as input structural parameters within the fuel such as the distributions of porosity and fuel composition, as well as heat generation, to allow a thermal analysis to be performed on a user-specified fuel structure. The code was developed with ease of use in mind. An interactive input file generator and material property correlations internal to the code are available to expedite analyses using SAFE. This report serves as a complete design description of the code as well as a user`s manual. A sample calculation made with SAFE is included to highlight some of the code`s features. Complete input and output files for the sample problem are provided.

  6. Nuclide Composition Benchmark Data Set for Verifying Burnup Codes on Spent Light Water Reactor Fuels

    SciTech Connect (OSTI)

    Nakahara, Yoshinori; Suyama, Kenya; Inagawa, Jun; Nagaishi, Ryuji; Kurosawa, Setsumi; Kohno, Nobuaki; Onuki, Mamoru; Mochizuki, Hiroki [Japan Atomic Energy Research Institute (Japan)

    2002-02-15T23:59:59.000Z

    To establish a nuclide composition benchmark data set for the verification of burnup codes, destructive analyses of light water reactor spent-fuel samples, which were cut out from several heights of spent-fuel rods, were carried out at the analytical laboratory at the Japan Atomic Energy Research Institute. The 16 samples from three kinds of pressurized water reactor (PWR) fuel rods and the 18 samples from two boiling water reactor (BWR) fuel rods were examined. Their initial {sup 235}U enrichments and burnups were from 2.6 to 4.1% and from 4 to 50 GWd/t, respectively. One PWR fuel rod and one BWR fuel rod contained gadolinia as a burnable poison. The measurements for more than 40 nuclides of uranium, transuranium, and fission product elements were performed by destructive analysis using mass spectrometry, and alpha-ray and gamma-ray spectrometry. Burnup for each sample was determined by the {sup 148}Nd method. The analytical methods and the results as well as the related irradiation condition data are compiled as a complete benchmark data set.

  7. IllinoisGRMHD: An Open-Source, User-Friendly GRMHD Code for Dynamical Spacetimes

    E-Print Network [OSTI]

    Etienne, Zachariah B; Haas, Roland; Moesta, Philipp; Shapiro, Stuart L

    2015-01-01T23:59:59.000Z

    In the extreme violence of merger and mass accretion, compact objects like black holes and neutron stars are thought to launch some of the most luminous outbursts of electromagnetic and gravitational wave energy in the Universe. Modeling these systems realistically is a central problem in theoretical astrophysics, but has proven extremely challenging, requiring the development of numerical relativity codes that solve Einstein's equations for the spacetime, coupled to the equations of general relativistic (ideal) magnetohydrodynamics (GRMHD) for the magnetized fluids. Over the past decade, the Illinois Numerical Relativity (ILNR) Group's dynamical spacetime, GRMHD code has proven itself as one of the most robust and reliable tools for theoretical modeling of such GRMHD phenomena. Despite the code's outstanding reputation, it was written "by experts and for experts" of the code, with a steep learning curve that would severely hinder community adoption if it were open-sourced. Here we present IllinoisGRMHD, whic...

  8. Optimally moderated nuclear fission reactor and fuel source therefor

    DOE Patents [OSTI]

    Ougouag, Abderrafi M. (Idaho Falls, ID); Terry, William K. (Shelley, ID); Gougar, Hans D. (Idaho Falls, ID)

    2008-07-22T23:59:59.000Z

    An improved nuclear fission reactor of the continuous fueling type involves determining an asymptotic equilibrium state for the nuclear fission reactor and providing the reactor with a moderator-to-fuel ratio that is optimally moderated for the asymptotic equilibrium state of the nuclear fission reactor; the fuel-to-moderator ratio allowing the nuclear fission reactor to be substantially continuously operated in an optimally moderated state.

  9. An Adaptive Approach to Impact Analysis from Change Requests to Source Code

    E-Print Network [OSTI]

    Poshyvanyk, Denys

    of change be available, evolutionary couplings are mined from the commits in software repositories the best-fit combination of information retrieval, dynamic analysis, and data mining of past source code), has been recognized as a key maintenance activity. IA aims at estimating the potentially impacted

  10. Trade-off of lossless source coding error exponents Cheng Chang Anant Sahai

    E-Print Network [OSTI]

    Sahai, Anant

    Trade-off of lossless source coding error exponents Cheng Chang Anant Sahai HP Labs, Palo Alto EECS, UC Berkeley ISIT 2008 Chang (HP Labs), Sahai ( UC Berkeley) Error Exponents trade-off ISIT 2008 1 (HP Labs), Sahai ( UC Berkeley) Error Exponents trade-off ISIT 2008 2 / 14 #12;Stabilizing an unstable

  11. ByteCode 2011 LCT: An Open Source Concolic Testing Tool

    E-Print Network [OSTI]

    Heljanko, Keijo

    recently received interest is concolic testing which combines concrete and symbolic execution. Based Concolic testing [5,11,2] is a method where a given program is executed both concretely and symbolicallyByteCode 2011 LCT: An Open Source Concolic Testing Tool for Java Programs1 Kari K¨ahk¨onen, Tuomas

  12. JOINT SOURCE-CHANNEL CODING AND POWER ALLOCATION FOR ENERGY EFFICIENT WIRELESS VIDEO COMMUNICATIONS

    E-Print Network [OSTI]

    Kuzmanovic, Aleksandar

    utilization of transmission energy is a critical design consideration [5]. Besides FEC, adjustmentJOINT SOURCE-CHANNEL CODING AND POWER ALLOCATION FOR ENERGY EFFICIENT WIRELESS VIDEO COMMUNICATIONS F. Zhai, Y. Eisenberg, T. N. Pappas, R. Berry, and A. K. Katsaggelos Department of Electrical

  13. Employing Clustering for Assisting Source Code Maintainability Evaluation according to ISO/IEC-

    E-Print Network [OSTI]

    Tjortjis, Christos

    Employing Clustering for Assisting Source Code Maintainability Evaluation according to ISO/IEC according to the ISO/IEC-9126 quality standard. More specifically it proposes a methodology that combines maintenance activities [2], [14], [18]. According to ISO/IEC-9126, maintainability is the capability

  14. Joint Source Coding, Routing and Resource Allocation for Wireless Sensor Networks

    E-Print Network [OSTI]

    Yu, Wei

    Joint Source Coding, Routing and Resource Allocation for Wireless Sensor Networks Wei Yu and Jun}@comm.utoronto.ca Abstract-- This paper presents an optimization framework for a wireless sensor network in which each sensor regarded as a promising emerging application for future wireless networks. Wireless sensor networks

  15. Integrating and Querying Source Code of Programs Working on a Database

    E-Print Network [OSTI]

    Ordonez, Carlos

    management system (DBMS). As a result, we present QDPC, a novel system that allows the inte- gration and flexible querying within a DBMS of source code and a database's schema. The integration focuses on obtain a DBMS. These sum- marization tables are then analyzed with SQL queries to find matches that are related

  16. An improved methodology on information distillation by mining program source code

    E-Print Network [OSTI]

    Tjortjis, Christos

    data mining to support semi- automated software maintenance and comprehension and provide practical- hension and maintenance incorporating data mining techniques. A fundamental underlying assumption to populate a database with elements extracted from source code, the application of a selection of data mining

  17. Reliable fuel source | Y-12 National Security Complex

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently ApprovedReliability Technology earns award Reliability

  18. Medical treatments, fuel sources from studying elusive enzyme

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighand Retrievals from a NewCuneoTechnologyCHPRCMedical

  19. Wood Residues as Fuel Source for Lime Kilns

    E-Print Network [OSTI]

    Azarniouch, M. K.; Philp, R. J.

    1984-01-01T23:59:59.000Z

    One of the main obstacles to total energy self sufficiency of kraft mills appears to be the fossil fuel requirements of the lime kilns. If an economical technology can be developed which allows fossil fuel to be replaced in whole or in part by wood...

  20. Liquid fuel microcombustor using microfabricated multiplexed electrospray sources

    E-Print Network [OSTI]

    Gomez, Alessandro

    Engineering, Yale Center for Combustion Studies, New Haven, CT 06520, USA b Department of Electrical by microfabricating the fuel distributor in Si using deep reactive ion etching. Tests were performed using JP-8- ies, that is, of portable electricity generators operating on liquid fuels, may result in dramatic

  1. Roadmap to an Engineering-Scale Nuclear Fuel Performance & Safety Code

    SciTech Connect (OSTI)

    Turner, John A [ORNL; Clarno, Kevin T [ORNL; Hansen, Glen A [ORNL

    2009-09-01T23:59:59.000Z

    Developing new fuels and qualifying them for large-scale deployment in power reactors is a lengthy and expensive process, typically spanning a period of two decades from concept to licensing. Nuclear fuel designers serve an indispensable role in the process, at the initial exploratory phase as well as in analysis of the testing results. In recent years fuel performance capabilities based on first principles have been playing more of a role in what has traditionally been an empirically dominated process. Nonetheless, nuclear fuel behavior is based on the interaction of multiple complex phenomena, and recent evolutionary approaches are being applied more on a phenomenon-by-phenomenon basis, targeting localized problems, as opposed to a systematic approach based on a fundamental understanding of all interacting parameters. Advanced nuclear fuels are generally more complex, and less understood, than the traditional fuels used in existing reactors (ceramic UO{sub 2} with burnable poisons and other minor additives). The added challenges are primarily caused by a less complete empirical database and, in the case of recycled fuel, the inherent variability in fuel compositions. It is clear that using the traditional approach to develop and qualify fuels over the entire range of variables pertinent to the U.S. Department of Energy (DOE) Office of Nuclear Energy on a timely basis with available funds would be very challenging, if not impossible. As a result the DOE Office of Nuclear Energy has launched the Nuclear Energy Advanced Modeling and Simulation (NEAMS) approach to revolutionize fuel development. This new approach is predicated upon transferring the recent advances in computational sciences and computer technologies into the fuel development program. The effort will couple computational science with recent advances in the fundamental understanding of physical phenomena through ab initio modeling and targeted phenomenological testing to leapfrog many fuel-development activities. Realizing the full benefits of this approach will likely take some time. However, it is important that the developmental activities for modeling and simulation be tightly coupled with the experimental activities to maximize feedback effects and accelerate both the experimental and analytical elements of the program toward a common objective. The close integration of modeling and simulation and experimental activities is key to developing a useful fuel performance simulation capability, providing a validated design and analysis tool, and understanding the uncertainties within the models and design process. The efforts of this project are integrally connected to the Transmutation Fuels Campaign (TFC), which maintains as a primary objective to formulate, fabricate, and qualify a transuranic-based fuel with added minor actinides for use in future fast reactors. Additional details of the TFC scope can be found in the Transmutation Fuels Campaign Execution Plan. This project is an integral component of the TFC modeling and simulation effort, and this multiyear plan borrowed liberally from the Transmutation Fuels Campaign Modeling and Simulation Roadmap. This document provides the multiyear staged development plan to develop a continuum-level Integrated Performance and Safety Code (IPSC) to predict the behavior of the fuel and cladding during normal reactor operations and anticipated transients up to the point of clad breach.

  2. Open Source Architecture: An Exploration of Source Code and Access in Architectural Design

    E-Print Network [OSTI]

    Vardouli, Theodora

    The term open source is increasingly applied to architecture, yet there is little consensus about what it means in this context. This paper explores how different literal and metaphoric interpretations of the “access to ...

  3. Journal of Power Sources 167 (2007) 1117 Voltage reversal during microbial fuel cell stack operation

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

    Journal of Power Sources 167 (2007) 11­17 Voltage reversal during microbial fuel cell stack February 2007; accepted 9 February 2007 Available online 20 February 2007 Abstract Microbial fuel cells Elsevier B.V. All rights reserved. Keywords: Microbial fuel cell; Voltage reversal; Stack; Direct electron

  4. Journal of Power Sources 128 (2004) 5460 Microfluidic fuel cell based on laminar flow

    E-Print Network [OSTI]

    Kenis, Paul J. A.

    2004-01-01T23:59:59.000Z

    Journal of Power Sources 128 (2004) 54­60 Microfluidic fuel cell based on laminar flow Eric R a novel microfluidic fuel cell concept that utilizes the occurrence of multi-stream laminar flow turbulent mixing. Preliminary results indicate that this novel fuel cell concept may lead to the development

  5. User`s Manual for the SOURCE1 and SOURCE2 Computer Codes: Models for Evaluating Low-Level Radioactive Waste Disposal Facility Source Terms (Version 2.0)

    SciTech Connect (OSTI)

    Icenhour, A.S.; Tharp, M.L.

    1996-08-01T23:59:59.000Z

    The SOURCE1 and SOURCE2 computer codes calculate source terms (i.e. radionuclide release rates) for performance assessments of low-level radioactive waste (LLW) disposal facilities. SOURCE1 is used to simulate radionuclide releases from tumulus-type facilities. SOURCE2 is used to simulate releases from silo-, well-, well-in-silo-, and trench-type disposal facilities. The SOURCE codes (a) simulate the degradation of engineered barriers and (b) provide an estimate of the source term for LLW disposal facilities. This manual summarizes the major changes that have been effected since the codes were originally developed.

  6. Severe accident source term characteristics for selected Peach Bottom sequences predicted by the MELCOR Code

    SciTech Connect (OSTI)

    Carbajo, J.J. [Oak Ridge National Lab., TN (United States)

    1993-09-01T23:59:59.000Z

    The purpose of this report is to compare in-containment source terms developed for NUREG-1159, which used the Source Term Code Package (STCP), with those generated by MELCOR to identify significant differences. For this comparison, two short-term depressurized station blackout sequences (with a dry cavity and with a flooded cavity) and a Loss-of-Coolant Accident (LOCA) concurrent with complete loss of the Emergency Core Cooling System (ECCS) were analyzed for the Peach Bottom Atomic Power Station (a BWR-4 with a Mark I containment). The results indicate that for the sequences analyzed, the two codes predict similar total in-containment release fractions for each of the element groups. However, the MELCOR/CORBH Package predicts significantly longer times for vessel failure and reduced energy of the released material for the station blackout sequences (when compared to the STCP results). MELCOR also calculated smaller releases into the environment than STCP for the station blackout sequences.

  7. An Open-Source Neutrino Radiation Hydrodynamics Code for Core-Collapse Supernovae

    E-Print Network [OSTI]

    Evan O'Connor

    2014-11-25T23:59:59.000Z

    We present an open-source update to the spherically-symmetric, general-relativistic hydrodynamics, core-collapse supernova (CCSN) code GR1D (O'Connor & Ott, 2010, CQG, 27, 114103). The source code is available at http://www.GR1Dcode.org. We extend its capabilities to include a general relativistic treatment of neutrino transport based on the moment formalisms of Shibata et al., 2011, PTP, 125, 1255 and Cardall et al., 2013, PRD, 87 103004. We pay special attention to implementing and testing numerical methods and approximations that lessen the computational demand of the transport scheme by removing the need to invert large matrices. This is especially important for the implementation and development of moment-like transport methods in two and three dimensions. A critical component of neutrino transport calculations are the neutrino-matter interaction coefficients that describe the production, absorption, scattering, and annihilation of neutrinos. In this article we also describe our open-source, neutrino interaction library NuLib (available at http://www.nulib.org). We believe that an open-source approach to describing these interactions is one of the major steps needed to progress towards robust models of CCSNe and robust predictions of the neutrino signal. We show, via comparisons to full Boltzmann neutrino transport simulations of CCSNe, that our neutrino transport code performs remarkably well. Furthermore, we show that the methods and approximations we employ to increase efficiency do not decrease the fidelity of our results. We also test the ability of our general relativistic transport code to model failed CCSN by evolving a 40 solar-mass progenitor to the onset of collapse to a black hole.

  8. A survey of processes for producing hydrogen fuel from different sources for automotive-propulsion fuel cells

    SciTech Connect (OSTI)

    Brown, L.F.

    1996-03-01T23:59:59.000Z

    Seven common fuels are compared for their utility as hydrogen sources for proton-exchange-membrane fuel cells used in automotive propulsion. Methanol, natural gas, gasoline, diesel fuel, aviation jet fuel, ethanol, and hydrogen are the fuels considered. Except for the steam reforming of methanol and using pure hydrogen, all processes for generating hydrogen from these fuels require temperatures over 1000 K at some point. With the same two exceptions, all processes require water-gas shift reactors of significant size. All processes require low-sulfur or zero-sulfur fuels, and this may add cost to some of them. Fuels produced by steam reforming contain {approximately}70-80% hydrogen, those by partial oxidation {approximately}35-45%. The lower percentages may adversely affect cell performance. Theoretical input energies do not differ markedly among the various processes for generating hydrogen from organic-chemical fuels. Pure hydrogen has severe distribution and storage problems. As a result, the steam reforming of methanol is the leading candidate process for on-board generation of hydrogen for automotive propulsion. If methanol unavailability or a high price demands an alternative process, steam reforming appears preferable to partial oxidation for this purpose.

  9. SOURCE?

    Energy Savers [EERE]

    Department of Energy (DOE) in partnership with Lawrence Berkeley National Laboratory (LBNL), is an open-source code package designed to be a common, low-cost, standardized tool...

  10. The Feasibility of Natural Gas as a Fuel Source for Modern Land-Based Drilling Rigs

    E-Print Network [OSTI]

    Nunn, Andrew Howard

    2012-02-14T23:59:59.000Z

    The purpose of this study is to determine the feasibility of replacing diesel with natural gas as a fuel source for modern drilling rigs. More specifically, this thesis (1) establishes a control baseline by examining operational characteristics...

  11. EA-0534: Radioisotope Heat Source Fuel Processing and Fabrication, Los Alamos, New Mexico

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of a proposal to operate existing Pu-238 processing facilities at Savannah River Site, and fabricate a limited quantity of Pu-238 fueled heat sources at...

  12. COBRA-SFS (Spent Fuel Storage): A thermal-hydraulic analysis computer code: Volume 1, Mathematical models and solution method

    SciTech Connect (OSTI)

    Rector, D.R.; Wheeler, C.L.; Lombardo, N.J.

    1986-11-01T23:59:59.000Z

    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.

  13. A NMR-Based Carbon-Type Analysis of Diesel Fuel Blends From Various Sources

    SciTech Connect (OSTI)

    Bays, J. Timothy; King, David L.

    2013-05-10T23:59:59.000Z

    In collaboration with participants of the Coordinating Research Council (CRC) Advanced Vehicle/Fuels/Lubricants (AVFL) Committee, and project AVFL-19, the characteristics of fuels from advanced and renewable sources were compared to commercial diesel fuels. The main objective of this study was to highlight similarities and differences among the fuel types, i.e. ULSD, renewables, and alternative fuels, and among fuels within the different fuel types. This report summarizes the carbon-type analysis from 1H and 13C{1H} nuclear magnetic resonance spectroscopy (NMR) of 14 diesel fuel samples. The diesel fuel samples come from diverse sources and include four commercial ultra-low sulfur diesel fuels (ULSD), one gas-to-liquid diesel fuel (GTL), six renewable diesel fuels (RD), two shale oil-derived diesel fuels, and one oil sands-derived diesel fuel. Overall, the fuels examined fall into two groups. The two shale oil-derived samples and the oil-sand-derived sample closely resemble the four commercial ultra-low sulfur diesels, with SO1 and SO2 most closely matched with ULSD1, ULSD2, and ULSD4, and OS1 most closely matched with ULSD3. As might be expected, the renewable diesel fuels, with the exception of RD3, do not resemble the ULSD fuels because of their very low aromatic content, but more closely resemble the gas-to-liquid sample (GTL) in this respect. RD3 is significantly different from the other renewable diesel fuels in that the aromatic content more closely resembles the ULSD fuels. Fused-ring aromatics are readily observable in the ULSD, SO, and OS samples, as well as RD3, and are noticeably absent in the remaining RD and GTL fuels. Finally, ULSD3 differs from the other ULSD fuels by having a significantly lower aromatic carbon content and higher cycloparaffinic carbon content. In addition to providing important comparative compositional information regarding the various diesel fuels, this report also provides important information about the capabilities of NMR spectroscopy for the detailed characterization and comparison of fuels and fuel blends.

  14. Fuel cells as a backup energy source for high availability network servers

    E-Print Network [OSTI]

    Humphrey, Daniel Alan

    2008-10-10T23:59:59.000Z

    This thesis proposes an uninterruptible power supply, UPS for high availability servers with fuel cells as its back up energy source. The system comprises a DC to DC converter designed to accommodate the fuel cellâ s wide output voltage range. A...

  15. 1 | Source: US DOE 12/2010 hydrogenandfuelcells.energy.gov FUEL CELL TECHNOLOGIES PROGRAM

    E-Print Network [OSTI]

    1 | Source: US DOE 12/2010 hydrogenandfuelcells.energy.gov FUEL CELL TECHNOLOGIES PROGRAM Hydrogen Storage Cryo-Hydrogen Storage Workshop Ned T. Stetson Acting Hydrogen Storage Team Lead Fuel Cells. Supercritical fluid densities greater than the liquid hydrogen density (71 g/L) are possible. Temperature can

  16. Fuel cells as a backup energy source for high availability network servers 

    E-Print Network [OSTI]

    Humphrey, Daniel Alan

    2008-10-10T23:59:59.000Z

    This thesis proposes an uninterruptible power supply, UPS for high availability servers with fuel cells as its back up energy source. The system comprises a DC to DC converter designed to accommodate the fuel cellâ s wide output voltage range. A...

  17. WASTE INCINERATION wr090203 Activity 090203 SNAP CODE: 090203 SOURCE ACTIVITY TITLE: WASTE INCINERATION Flaring in Oil Refinery NOSE CODE: 109.03.11 NFR CODE:

    E-Print Network [OSTI]

    So Nox; Nmvoc Ch; Co Co; No Nh

    Flares are commonly used during petroleum refining for the safe disposal of waste gases during process upsets (e.g., start-up, shut-down, system blow-down) and emergencies to combust the organic content of waste emission streams without recovering/using the associated energy. 2 CONTRIBUTION TO TOTAL EMISSIONS Although flaring emission estimates are approximate, total hydrocarbon emissions from flaring at Canadian petroleum refineries during 1988 represented about 0.1 % of the refinery sector process and fugitive emissions that also included petroleum marketing emissions (CPPE, 1990). Thus the flaring operation at refineries is estimated to contribute a very small fraction of the total HC emissions in Canada. Emissions from flaring activities may also include: particulate, SOx, NOx, CO and other NMVOC. The CO2 contribution of both miscellaneous vent and flare emission sources represented approximately 9 % of the total petroleum refinery SO2 emission in Canada during 1988. Emissions estimates from flaring in petroleum refineries as reported in the CORINAIR90 inventory are summarised in Table 1. Table 1: Contribution to total emissions of the CORINAIR90 inventory (28 countries) Source-activity SNAP-code Contribution to total emissions [%

  18. Natural and Anthropogenic Ethanol Sources in North America and Potential Atmospheric Impacts of Ethanol Fuel Use

    E-Print Network [OSTI]

    Mlllet, Dylan B.

    Natural and Anthropogenic Ethanol Sources in North America and Potential Atmospheric Impacts of Ethanol Fuel Use Dylan B. Millet,*, Eric Apel, Daven K. Henze,§ Jason Hill, Julian D. Marshall, Hanwant B-Chem chemical transport model to constrain present-day North American ethanol sources, and gauge potential long

  19. Formulation, Implementation and Validation of a Two-Fluid model in a Fuel Cell CFD Code

    SciTech Connect (OSTI)

    Kunal Jain, Vernon Cole, Sanjiv Kumar and N. Vaidya

    2008-11-01T23:59:59.000Z

    Water management is one of the main challenges in PEM Fuel Cells. While water is essential for membrane electrical conductivity, excess liquid water leads to ooding of catalyst layers. Despite the fact that accurate prediction of two-phase transport is key for optimal water management, understanding of the two-phase transport in fuel cells is relatively poor. Wang et. al. [1], [2] have studied the two-phase transport in the channel and diffusion layer separately using a multiphase mixture model. The model fails to accurately predict saturation values for high humidity inlet streams. Nguyen et. al. [3] developed a two-dimensional, two-phase, isothermal, isobaric, steady state model of the catalyst and gas diffusion layers. The model neglects any liquid in the channel. Djilali et. al. [4] developed a three-dimensional two-phase multicomponent model. The model is an improvement over previous models, but neglects drag between the liquid and the gas phases in the channel. In this work, we present a comprehensive two- fluid model relevant to fuel cells. Models for two-phase transport through Channel, Gas Diffusion Layer (GDL) and Channel-GDL interface, are discussed. In the channel, the gas and liquid pressures are assumed to be same. The surface tension effects in the channel are incorporated using the continuum surface force (CSF) model. The force at the surface is expressed as a volumetric body force and added as a source to the momentum equation. In the GDL, the gas and liquid are assumed to be at different pressures. The difference in the pressures (capillary pressure) is calculated using an empirical correlations. At the Channel-GDL interface, the wall adhesion affects need to be taken into account. SIMPLE-type methods recast the continuity equation into a pressure-correction equation, the solution of which then provides corrections for velocities and pressures. However, in the two-fluid model, the presence of two phasic continuity equations gives more freedom and more complications. A general approach would be to form a mixture continuity equation by linearly combining the phasic continuity equations using appropriate weighting factors. Analogous to mixture equation for pressure correction, a difference equation is used for the volume/phase fraction by taking the difference between the phasic continuity equations. The relative advantages of the above mentioned algorithmic variants for computing pressure correction and volume fractions are discussed and quantitatively assessed. Preliminary model validation is done for each component of the fuel cell. The two-phase transport in the channel is validated using empirical correlations. Transport in the GDL is validated against results obtained from LBM and VOF simulation techniques. The Channel-GDL interface transport will be validated against experiment and empirical correlation of droplet detachment at the interface. References [1] Y. Wang S. Basu and C.Y. Wang. Modeling two-phase flow in pem fuel cell channels. J. Power Sources, 179:603{617, 2008. [2] P. K. Sinha and C. Y. Wang. Liquid water transport in a mixed-wet gas diffusion layer of a polymer electrolyte fuel cell. Chem. Eng. Sci., 63:1081-1091, 2008. [3] Guangyu Lin and Trung Van Nguyen. A two-dimensional two-phase model of a pem fuel cell. J. Electrochem. Soc., 153(2):A372{A382, 2006. [4] T. Berning and N. Djilali. A 3d, multiphase, multicomponent model of the cathode and anode of a pem fuel cell. J. Electrochem. Soc., 150(12):A1589{A1598, 2003.

  20. Journal of Power Sources 165 (2007) 509516 Direct NaBH4/H2O2 fuel cells

    E-Print Network [OSTI]

    Carroll, David L.

    2007-01-01T23:59:59.000Z

    Journal of Power Sources 165 (2007) 509­516 Direct NaBH4/H2O2 fuel cells George H. Mileya,e,, Nie online 5 December 2006 Abstract A fuel cell (FC) using liquid fuel and oxidizer is under investigation. H Published by Elsevier B.V. Keywords: Fuel cell; Hydrogen peroxide; Regenerative fuel cell; Sodium

  1. A source-term method for determining spent-fuel transport cask containment requirements: Executive summary

    SciTech Connect (OSTI)

    Sanders, T.L.; Seager, K.D. (Sandia National Labs., Albuquerque, NM (United States)); Reardon, P.C. (GRAM, Inc., Albuquerque, NM (United States))

    1993-02-01T23:59:59.000Z

    This Executive Summary presents the methodology for determining containment requirements for spent-fuel transport casks under normal and hypothetical accident conditions. Three sources of radioactive material are considered: (1) the spent fuel itself, (2) radioactive material, referred to as CRUD, attached to the outside surfaces of fuel rod cladding, and (3) residual contamination adhering to interior surfaces of the cask cavity. The methodologies for determining the concentrations of freely suspended radioactive materials within a spent-fuel transport cask for these sources are discussed in much greater detail in three companion reports: A Method for Determining the Spent-Fuel Contribution to Transport Cask Containment Requirements,'' Estimate of CRUD Contribution to Shipping Cask Containment Requirements,'' and A Methodology for Estimating the Residual Contamination Contribution to the Source Term in a Spent-Fuel Transport Cask.'' Examples of cask containment requirements that combine the individually determined containment requirements for the three sources are provided, and conclusions from the three companion reports to this Executive Summary are presented.

  2. KUALI TIPS FOR CAPITAL ASSETS NEW OBJECT CODES: These are based upon Funding Source vs. Title. Owner Field shows Title now.

    E-Print Network [OSTI]

    KUALI TIPS FOR CAPITAL ASSETS NEW OBJECT CODES: These are based upon Funding Source vs. Title. Owner Field shows Title now. Decal # Historical Sub Code New Object Code Description 3 8210 8210 CSU) and 8247 (Federal Loaned) are Property Use Only. HOW TO USE THE NEW OBJECT CODES: To determine which Object

  3. adaptive source-channel coding: Topics by E-print Network

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

    coding problem. In particular, the connections are drawn to error-reducing codes, isometric embeddings and list-decodable ... Kochman, Yuval 8 PERFORMANCE ANALYSIS OF...

  4. Applications of Universal Source Coding to Statistical Analysis of Time Series

    E-Print Network [OSTI]

    Ryabko, Boris

    2008-01-01T23:59:59.000Z

    We show how universal codes can be used for solving some of the most important statistical problems for time series. By definition, a universal code (or a universal lossless data compressor) can compress any sequence generated by a stationary and ergodic source asymptotically to the Shannon entropy, which, in turn, is the best achievable ratio for lossless data compressors. We consider finite-alphabet and real-valued time series and the following problems: estimation of the limiting probabilities for finite-alphabet time series and estimation of the density for real-valued time series, the on-line prediction, regression, classification (or problems with side information) for both types of the time series and the following problems of hypothesis testing: goodness-of-fit testing, or identity testing, and testing of serial independence. It is important to note that all problems are considered in the framework of classical mathematical statistics and, on the other hand, everyday methods of data compression (or ar...

  5. 1 | Fuel Cell Technologies Program Source: US DOE 12/5/2012 eere.energy.gov National Fuel Cell and Hydrogen

    E-Print Network [OSTI]

    cycles for certain vehicle types (including buses, light-duty cars & trucks, delivery vans, and short-haul trucks) Advantages of Batteries and Fuel Cells: · For shorter distances, batteries are more effective1 | Fuel Cell Technologies Program Source: US DOE 12/5/2012 eere.energy.gov National Fuel Cell

  6. 1 | Fuel Cell Technologies Program Source: US DOE 3/3/2011 eere.energy.gov Overview of Hydrogen and

    E-Print Network [OSTI]

    _well_to_wheels_gge_petrol eum_use.pdf (BTUs per mile) #12;5 | Fuel Cell Technologies Program Source: US

  7. Top-down estimate of a large source of atmospheric carbon monoxide associated with fuel combustion in Asia

    E-Print Network [OSTI]

    Palmer, Paul

    categories used to represent biomass-burning sources in North America/Europe, Asia, Africa, Latin America-fuel and- biofuel combustion sources in North America, Europe, Asia (including Indonesia and the Middle

  8. Chair for Computer Networks and Internet -Universitt Tbingen 1 ffor an open source, ultra low delay audio coding

    E-Print Network [OSTI]

    Carle, Georg

    an open source, ultra low delay audio coding Extending the packet loss concealment algorithm ITU G 711 A di 1 t f ll b d idthITU G.711 Appendix 1 to full bandwidth Comparing ultra low delay audio codecs SSummary Chair for Computer Networks and Internet - Universität Tübingen 2 #12;From speech to ultra-low

  9. Final Technical Report for Alternative Fuel Source Study - An Energy Efficient and Environmentally Friendly Approach

    SciTech Connect (OSTI)

    Zee, Ralph [Auburn University; Schindler, Anton [Auburn University; Duke, Steve [Auburn University; Burch, Thom [Auburn University; Bransby, David [Auburn University; Stafford, Don [Lafarge North America

    2010-08-31T23:59:59.000Z

    The objective of this project is to conduct research to determine the feasibility of using alternate fuel sources for the production of cement. Successful completion of this project will also be beneficial to other commercial processes that are highly energy intensive. During this report period, we have completed all the subtasks in the preliminary survey. Literature searches focused on the types of alternative fuels currently used in the cement industry around the world. Information was obtained on the effects of particular alternative fuels on the clinker/cement product and on cement plant emissions. Federal regulations involving use of waste fuels were examined. Information was also obtained about the trace elements likely to be found in alternative fuels, coal, and raw feeds, as well as the effects of various trace elements introduced into system at the feed or fuel stage on the kiln process, the clinker/cement product, and concrete made from the cement. The experimental part of this project involves the feasibility of a variety of alternative materials mainly commercial wastes to substitute for coal in an industrial cement kiln in Lafarge NA and validation of the experimental results with energy conversion consideration.

  10. Assessing the Predictive Capability of the LIFEIV Nuclear Fuel Performance Code using Sequential Calibration

    SciTech Connect (OSTI)

    Stull, Christopher J. [Los Alamos National Laboratory; Williams, Brian J. [Los Alamos National Laboratory; Unal, Cetin [Los Alamos National Laboratory

    2012-07-05T23:59:59.000Z

    This report considers the problem of calibrating a numerical model to data from an experimental campaign (or series of experimental tests). The issue is that when an experimental campaign is proposed, only the input parameters associated with each experiment are known (i.e. outputs are not known because the experiments have yet to be conducted). Faced with such a situation, it would be beneficial from the standpoint of resource management to carefully consider the sequence in which the experiments are conducted. In this way, the resources available for experimental tests may be allocated in a way that best 'informs' the calibration of the numerical model. To address this concern, the authors propose decomposing the input design space of the experimental campaign into its principal components. Subsequently, the utility (to be explained) of each experimental test to the principal components of the input design space is used to formulate the sequence in which the experimental tests will be used for model calibration purposes. The results reported herein build on those presented and discussed in [1,2] wherein Verification & Validation and Uncertainty Quantification (VU) capabilities were applied to the nuclear fuel performance code LIFEIV. In addition to the raw results from the sequential calibration studies derived from the above, a description of the data within the context of the Predictive Maturity Index (PMI) will also be provided. The PMI [3,4] is a metric initiated and developed at Los Alamos National Laboratory to quantitatively describe the ability of a numerical model to make predictions in the absence of experimental data, where it is noted that 'predictions in the absence of experimental data' is not synonymous with extrapolation. This simply reflects the fact that resources do not exist such that each and every execution of the numerical model can be compared against experimental data. If such resources existed, the justification for numerical models would be reduced considerably. The authors note that the PMI is primarily intended to provide a high-level, quantitative description of year-to-year (or version-to-version) improvements in numerical models, where these descriptions can be used as a means of justifying funding requests to support further model development research. It is in this context that the present report should be considered: the availability of data from experimental tests should be viewed as a time-dependent variable, where experiments are added to the calibration suite as resources become available. For the present report, the experimental data is of course already available (permitting demonstration of the proposed methodology). Furthermore, the authors are not proposing this methodology as the answer to the question of how to allocate resources for experimental tests, and readers are directed to [5] and the references contained in Section 1 of [5] for additional information on the subject. However, the strength of this methodology is that it offers a means by which to select the sequence of experiments in a pre-arranged experimental campaign (a situation for which the methods discussed in [5] are less appropriate). The report is organized as follows. Section 2 describes the methodology employed to formulate the sequences of experiments for the calibrations performed for this study. Section 3 then presents the results associated with two sequences; supplementary results are provided in the Appendix. The report then concludes in Section 4 with a brief summary.

  11. Regional Oxidant Model (ROM), Source code and test data (Version 2. 1). Model-Simulation

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    The Regional Oxidant Model (ROM) is a three-dimensional photochemical Eulerian grid model designed to simulate ambient concentrations of ozone and related species. ROM is a 3-layer model with a horizontal resolution of approximately 19 km; each grid cell has dimensions of 1/6 degree latitude by 1/4 degree longitude. The typical horizontal extent of the modeling domain is 1000 km. The model is designed to simulate hourly regional concentrations of ozone during largely stagnant summertime conditions that are associated with elevated smog episodes. The model is designed so that its preprocessors run on a VAX and the core model runs on an IBM mainframe. A typical 3-day simulation of the core model for the northeastern U.S. uses 9.5 hours of CPU on an IBM 3090. A total of 19 computer tapes comprise the release of the ROM (Version 2.1). Six of the tapes were generated on an IBM, and 13 tapes were generated on a VAX. The tapes contain source code, sample runstreams, and test data for a 3-day simulation. Potential users of the ROM should be aware that the modeling system is complex and requires extensive computer resources. The services of engineers, meteorologists, or computer scientists experienced in photochemical grid modeling are required.

  12. Regional Oxidant Model (ROM), (Source code only) (Version 2. 1). Model-Simulation

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    The Regional Oxidant Model (ROM) is a three-dimensional photochemical Eulerian grid model designed to simulate ambient concentrations of ozone and related species. ROM is a 3-layer model with a horizontal resolution of approximately 19 km; each grid cell has dimensions of 1/6 degree latitude by 1/4 degree longitude. The typical horizontal extent of the modeling domain is 1000 km. The model is designed to simulate hourly regional concentrations of ozone during largely stagnant summertime conditions that are associated with elevated smog episodes. The model is designed so that its preprocessors run on a VAX and the core model runs on an IBM mainframe. A typical 3-day simulation of the core model for the northeastern U.S. uses 9.5 hours of CPU on an IBM 3090. A total of 19 computer tapes comprise this release of the ROM (Version 2.1). Six of the tapes were generated on an IBM, and 13 tapes were generated on a VAX. The tapes contain source code, sample runstreams, and test data for a 3-day simulation. Potential users of the ROM should be aware that the modeling system is complex and requires extensive computer resources. The services of engineers, meteorologists, or computer scientists experienced in photochemical grid modeling are required.

  13. ANSI N14.5 source term licensing of spent-fuel transport cask containment

    SciTech Connect (OSTI)

    Seager, K.D. [Sandia National Labs., Albuquerque, NM (United States); Reardon, P.C. [GRAM, Inc., Albuquerque, NM (United States); James, R.J.; Foadian, H.; Rashid, Y.R. [ANATECH Research Corp., La Jolla, CA (United States)

    1993-10-01T23:59:59.000Z

    American National Standards Institute (ANSI) standard N14.5 states that ``compliance with package containment requirements shall be demonstrated either by determination of the radioactive contents release rate or by measurement of a tracer material leakage rate.`` The maximum permissible leakage rate from the transport cask is equal to the maximum permissible release rate divided by the time-averaged volumetric concentration of suspended radioactivity within the cask. The development of source term methodologies at Sandia National Laboratories (SNL) provides a means to determine the releasable radionuclide concentrations within spent-fuel transport casks by estimating the probability of cladding breach, quantifying the amount of radioactive material released into the cask interior from the breached fuel rods, and quantifying the amount of radioactive material within the cask due to other sources. These methodologies are implemented in the Source Term Analyses for Containment Evaluations (STACE) software. In this paper, the maximum permissible leakage rates for the normal and hypothetical accident transport conditions defined by 10 CFR 71 are estimated using STACE for a given cask design, fuel assembly, and initial conditions. These calculations are based on defensible analysis techniques that credit multiple release barriers, including the cladding and the internal cask walls.

  14. DOE Hydrogen Codes and Standards Coordinating Committee Fuel Purity Specifications Workshop

    E-Print Network [OSTI]

    process. After introductions by the participants, Jim Ohi of NREL reviewed the agenda and the purpose on the performance of single cells. The objective of JARI's work is to help establish hydrogen fuel quality standards for fuel cell vehicles. JARI evaluated existing standards, namely JIS K0512 and ISO 14687, as well

  15. Abstract--Environmentally friendly technologies such as photovoltaics and fuel cells are DC sources. In the current power

    E-Print Network [OSTI]

    Tolbert, Leon M.

    Abstract--Environmentally friendly technologies such as photovoltaics and fuel cells are DC sources in pollution [1]. The most well-known green technologies include photovoltaics and wind turbines. Although fuel, fuel cells and photovoltaics, produce direct current (DC). Currently, power system infrastructures

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

    E-Print Network [OSTI]

    Ding, Yu

    2006-01-01T23:59:59.000Z

    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

  17. Journal of Power Sources 135 (2004) 184191 A solid oxide fuel cell system fed with hydrogen sulfide

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

    Journal of Power Sources 135 (2004) 184­191 A solid oxide fuel cell system fed with hydrogen for a solid oxide fuel cell (SOFC). This paper presents an examination of a simple hydrogen sulfide and natural gas-fed solid oxide fuel cell system. The possibility of utilization of hydrogen sulfide

  18. 1 | Fuel Cell Technologies Program Source: US DOE 8/24/2011 eere.energy.gov ASME 2011-Plenary

    E-Print Network [OSTI]

    /24/2011 eere.energy.gov U.S. Energy Consumption Total U.S. Energy = 94.6 Quadrillion Btu Source: Energy Consumption by Source and Sector #12;5 | Fuel Cell Technologies Program Source: US DOE 8/24/2011 eere.energy DOE 8/24/2011 eere.energy.gov Fuel Cell Market Overview 0 25 50 75 100 2008 2009 2010 USA Japan South

  19. Student Ownership of Work Created in Computer Science Classes and Ownership of software, including the source code, that students create as part of his or

    E-Print Network [OSTI]

    Dyer, Bill

    Student Ownership of Work Created in Computer Science Classes and Projects Ownership of software, including the source code, that students create as part of his or her MSU education activities a perpetual royaltyfree nonexclusive right to use the source code and make derivative works for educational

  20. Advanced Ultrasonic Inspection Techniques for General Purpose Heat Source Fueled Clad Closure Welds

    SciTech Connect (OSTI)

    Moyer, M.W.

    2001-01-11T23:59:59.000Z

    A radioisotope thermoelectric generator is used to provide a power source for long-term deep space missions. This General Purpose Heat Source (GPHS) is fabricated using iridium clad vent sets to contain the plutonium oxide fuel pellets. Integrity of the closure weld is essential to ensure containment of the plutonium. The Oak Ridge Y-12 Plant took the lead role in developing the ultrasonic inspection for the closure weld and transferring the inspection to Los Alamos National Laboratory for use in fueled clad inspection for the Cassini mission. Initially only amplitude and time-of-flight data were recorded. However, a number of benign geometric conditions produced signals that were larger than the acceptance threshold. To identify these conditions, a B-scan inspection was developed that acquired full ultrasonic waveforms. Using a test protocol the B-scan inspection was able to identify benign conditions such as weld shield fusion and internal mismatch. Tangential radiography was used to confirm the ultrasonic results. All but two of 29 fueled clads for which ultrasonic B-scan data was evaluated appeared to have signals that could be attributed to benign geometric conditions. This report describes the ultrasonic inspection developed at Y-12 for the Cassini mission.

  1. Inter-comparison of Computer Codes for TRISO-based Fuel Micro-Modeling and Performance Assessment

    SciTech Connect (OSTI)

    Brian Boer; Chang Keun Jo; Wen Wu; Abderrafi M. Ougouag; Donald McEachren; Francesco Venneri

    2010-10-01T23:59:59.000Z

    The Next Generation Nuclear Plant (NGNP), the Deep Burn Pebble Bed Reactor (DB-PBR) and the Deep Burn Prismatic Block Reactor (DB-PMR) are all based on fuels that use TRISO particles as their fundamental constituent. The TRISO particle properties include very high durability in radiation environments, hence the designs reliance on the TRISO to form the principal barrier to radioactive materials release. This durability forms the basis for the selection of this fuel type for applications such as Deep Bun (DB), which require exposures up to four times those expected for light water reactors. It follows that the study and prediction of the durability of TRISO particles must be carried as part of the safety and overall performance characterization of all the designs mentioned above. Such evaluations have been carried out independently by the performers of the DB project using independently developed codes. These codes, PASTA, PISA and COPA, incorporate models for stress analysis on the various layers of the TRISO particle (and of the intervening matrix material for some of them), model for fission products release and migration then accumulation within the SiC layer of the TRISO particle, just next to the layer, models for free oxygen and CO formation and migration to the same location, models for temperature field modeling within the various layers of the TRISO particle and models for the prediction of failure rates. All these models may be either internal to the code or external. This large number of models and the possibility of different constitutive data and model formulations and the possibility of a variety of solution techniques makes it highly unlikely that the model would give identical results in the modeling of identical situations. The purpose of this paper is to present the results of an inter-comparison between the codes and to identify areas of agreement and areas that need reconciliation. The inter-comparison has been carried out by the cooperating institutions using a set of pre-defined TRISO conditions (burnup levels, temperature or power levels, etc.) and the outcome will be tabulated in the full length paper. The areas of agreement will be pointed out and the areas that require further modeling or reconciliation will be shown. In general the agreement between the codes is good within less than one order of magnitude in the prediction of TRISO failure rates.

  2. Verification as a Foundation for Validation of a Nuclear Fuel Performance Code

    SciTech Connect (OSTI)

    J. D. Hales; S. R. Novascone; B. W. Spencer; R. L. Williamson; G. Pastore; D. M. Perez

    2014-09-01T23:59:59.000Z

    Complex multiphysics simulations such as nuclear fuel performance analysis are composed of many submodels used to describe specific phenomena. These phenomena include, as examples, the relationship between stress and strain, heat transfer across a gas gap, and mechanical contact. These submodels work in concert to simulate real-world events, like the behavior of a fuel rod in a reactor. If a simulation tool is able to represent real-world behavior, the tool is said to be validated. While much emphasis is rightly placed on validation, model verification may be undervalued. Verification involves showing that a model performs as intended, that it computes results consistent with its mathematical description. This paper explains the differences between verification and validation and shows how validation should be preceded by verification. Specific verification problems, including several specific to nuclear fuel analysis, are given. Validation results are also presented.

  3. Evaluation of weapons-grade mixed oxide fuel performance in U.S. Light Water Reactors using COMETHE 4D release 23 computer code 

    E-Print Network [OSTI]

    Bellanger, Philippe

    1999-01-01T23:59:59.000Z

    The COMETHE 4D Release 23 computer code was used to evaluate the thermal, chemical and mechanical performance of weapons-grade MOX fuel irradiated under U.S. light water reactor typical conditions. Comparisons were made to and UO? fuels exhibited...

  4. Evaluation of weapons-grade mixed oxide fuel performance in U.S. Light Water Reactors using COMETHE 4D release 23 computer code

    E-Print Network [OSTI]

    Bellanger, Philippe

    1999-01-01T23:59:59.000Z

    The COMETHE 4D Release 23 computer code was used to evaluate the thermal, chemical and mechanical performance of weapons-grade MOX fuel irradiated under U.S. light water reactor typical conditions. Comparisons were made to and UO? fuels exhibited...

  5. Title 20, California Code of Regulations Article 5. Electricity Generation Source Disclosure

    E-Print Network [OSTI]

    fossil fuel may not be included: (1) Biomass and waste. For purposes of these regulations, "biomass type attribute" means the fuel or technology type used to generate a quantity of kilowatt hours

  6. ' CMU-ITC-84-022 Conventions for ITC System Source Code

    E-Print Network [OSTI]

    of make for all compilations. Surround VAX-specific code with #ifdef VAX # endif V_X Enclose SUN, currently the 'linus' Vax. From here they are retrieved for review and modification or to be recompiled

  7. Sodium Cooled Fast Reactors and the Pyro-Process: Conversion of Nuclear Waste into a Fuel Source

    E-Print Network [OSTI]

    Belanger, David P.

    1 Sodium Cooled Fast Reactors and the Pyro-Process: Conversion of Nuclear Waste into a Fuel Source renewed interest amongst the nuclear science community as the debate over nuclear waste has increased .................................................................................27 2.1.2 Waste Minimization

  8. SP1TFRE-SP-100 transient fuel rod evaluation code

    E-Print Network [OSTI]

    Carpenter, David Charles

    1986-01-01T23:59:59.000Z

    Carpenter Compar ison of theoretical Fuel element temperatures with and without flux depression . . 63 65 IV-6 BWR/6 thermal-hydr aulic input par ametens. IV-7 BWR/6 actinide inventor y. IV-8 CRBR ther mal-hydr aulic input par ameters . . IV-9 CRBR... actinide inventory. IV-10 SP-100 ther mal-hydr aulic input parameter s. 73 76 78 82 IV-11 SP-100 actinide inventor y. A-1 Constants used for specific heat cor r elation . A-2 Constants used for ther mal expansion cour clat. ion 90 . 101 G-1...

  9. Journal of Power Sources 164 (2007) 189195 Modeling water transport in liquid feed direct methanol fuel cells

    E-Print Network [OSTI]

    2007-01-01T23:59:59.000Z

    Journal of Power Sources 164 (2007) 189­195 Modeling water transport in liquid feed direct methanol management in direct methanol fuel cells (DMFCs) is very critical and complicated because of many interacting rights reserved. Keywords: Direct methanol fuel cell; Water transport; Mathematical modeling; Three

  10. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End1

  11. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End12

  12. Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.544.4

  13. source code for OpenEI extensions | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History ViewZAPZinccellranking of

  14. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End Uses855111.

  15. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 End

  16. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.

  17. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.4 Number

  18. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.4

  19. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.4.1.

  20. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.4.1.4

  1. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182 EndN4.1.4.1.41.4

  2. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy182

  3. " Row: Selected SIC Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11.1. First

  4. " Row: Selected SIC Codes; Column: Energy Sources and Shipments;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1. Enclosed9.11.1.

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan FebFoot)(Millionper22,445.5.4 Number of

  7. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table6022468

  8. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Table6022468

  9. Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015 Coke and

  10. Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade EnergyTennesseeYear Jan Next MECS will be fielded in 2015

  11. 1 | Fuel Cell Technologies Program Source: US DOE 9/9/2011 eere.energy.gov FUEL CELL TECHNOLOGIES PROGRAM

    E-Print Network [OSTI]

    Patent Growth Index[1] shows that fuel cell patents lead in the clean energy field with nearly 1,000 fuel/Market Assumptions: · $1,300/kW initial mfg cost (Battelle), $4,200/kW retail price. · Shipments reach 3,300 annually (construction/ expansion of mfg capacity, installation & infrastructure) & on-going jobs (manufacturing, O

  12. Prediction of MPEG-coded video source traffic using neural networks 

    E-Print Network [OSTI]

    Bhattacharya, Aninda

    2002-01-01T23:59:59.000Z

    dependency. Present research aims to provide a generalized solution to the problem of predicting the frames/VOP sizes of MPEG-coded real-time video streams for single and multiple steps ahead. In order to incorporate the nonlinear behavior of time...

  13. A Performance Comparison of Open-Source Erasure Coding Libraries for Storage Applications

    E-Print Network [OSTI]

    Plank, Jim

    D. Schuman James S. Plank Technical Report UT-CS-08-625 Department of Electrical Engineering and users. Abstract Erasure coding is a fundemental technique to prevent data loss in storage systems to the fore to prevent data loss in storage systems composed of multiple disks. Storage companies

  14. 1 | Fuel Cell Technologies Program Source: US DOE 4/3/2012 eere.energy.gov Fuel Cell Technologies Overview

    E-Print Network [OSTI]

    Cell Patents Geographic Distribution 2002-2010 Top 10 companies: Honda, GM, Toyota, UTC Power, Samsung Reduced Oil Use Reduced Air Pollution Fuel Flexibility · 40 - 60% (electrical) · > 70% (electrical, hybrid

  15. 1 | Fuel Cell Technologies Program Source: US DOE 3/19/2013 eere.energy.gov Fuel Cell Technologies Overview

    E-Print Network [OSTI]

    Typical Efficiency 0% 10% 20% 30% 40% 50% 60% 70% Steam Turbine Recip. Engine Gas Turbine Micro- Turbine% (electrical, hybrid fuel cell / turbine) · > 80% (with CHP) Reduced Oil Use · >95% reduction for FCEVs (vs

  16. 1 | Fuel Cell Technologies Program Source: US DOE 3/3/2011 eere.energy.gov FUEL CELL TECHNOLOGIES PROGRAM

    E-Print Network [OSTI]

    cell cost reduction Medium-Scale Fuel Cell CHP with Biogas Small-scale PEM Fuel Cells with Natural Gas ((througgh 2009)) Italy 1,167 MW China 305 MW 1,650 MW Rest of World 2,374 MW 2 633 MW Spain 2,633 MW 3South Korea (plans to produce 20% of world shipments & create 560,000 jobs in Korea) · China (thousands

  17. Fuel

    SciTech Connect (OSTI)

    NONE

    1999-10-01T23:59:59.000Z

    Two subjects are covered in this section. They are: (1) Health effects of possible contamination at Paducah Gaseous Diffusion Plant to be studied; and (2) DOE agrees on test of MOX fuel in Canada.

  18. Simulation of parameter scaling in electron cyclotron resonance ion source plasmas using the GEM code

    SciTech Connect (OSTI)

    Cluggish, B.; Zhao, L.; Kim, J. S. [FAR-TECH, Inc., 3550 General Atomics Court, MS 15-155, San Diego, California 92121 (United States)

    2010-02-15T23:59:59.000Z

    Although heating power and gas pressure are two of the two of primary experimental ''knobs'' available to users of electron cyclotron resonance ion sources, there is still no clear understanding of how they interact in order to provide optimal plasma conditions. FAR-TECH, Inc. has performed a series of simulations with its generalized electron cyclotron resonance ion source model in which the power and pressure were varied over a wide range. Analysis of the numerical data produces scaling laws that predict the plasma parameters as a function of the power and pressure. These scaling laws are in general agreement with experimental data.

  19. Diversity systems for Rayleigh fading channels: an application of multiple description source codes

    E-Print Network [OSTI]

    Yang, Shih-Ming

    1993-01-01T23:59:59.000Z

    for R=3, k=3 (left) and 4 (right). V Index assignments for R=3, k=5 (left) and 6 (right). 46 46 47 47 VI Optimum 15-level MDSQ design for a unit variance memoryless Gaussian source, R = 3. 0 bpss, E(ds) = 0. 010527, E(ds) E(ds) = 0. 036519. 48... VII Optimum 31-level MDSQ design for a unit variance memory- less Gaussian source, R = 4. 0 bps, E(ds) =0. 0026756, E(dr) = E(ds) =0. 0098501. 49 VIII Optimal thresholds for the 39, 47, 53, and 57-level MDSQ-based systems using the central and side...

  20. 1 | Fuel Cell Technologies Program Source: US DOE 3/3/2011 eere.energy.gov FUEL CELL TECHNOLOGIES PROGRAM

    E-Print Network [OSTI]

    Applications Prime Power for Communication Applications Military Applications Remote Monitoring (i, computers, etc.) Combined Heat and Power (CHP) Large non-CHP Assumes Non-Transport Applications Source: 2011 for Communication Applications Military Applications Remote Monitoring (i.e. surveillance, weather and water

  1. EERE SBIR Case Study: Improving Hybrid Poplars as a Renewable Source of Ethanol Fuel

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of98-F, Western22, 2014FluidLaboratoryDesertEEREEEREEthanol Fuel

  2. Fuel from wastewater : harnessing a potential energy source in Canada through the co-location of algae biofuel production to sources of effluent, heat and CO2.

    SciTech Connect (OSTI)

    Passell, Howard David; Whalen, Jake (SmartWhale Consulting, Dartmouth, NS, CA); Pienkos, Philip P. (National Renewable Energy Laboratory, Golden, CO); O'Leary, Stephen J. (National Research Council Canada, Institute for Marine Biosciences, Halifax, NS, CA); Roach, Jesse Dillon; Moreland, Barbara D.; Klise, Geoffrey Taylor

    2010-12-01T23:59:59.000Z

    Sandia National Laboratories is collaborating with the National Research Council (NRC) Canada and the National Renewable Energy Laboratory (NREL) to develop a decision-support model that will evaluate the tradeoffs associated with high-latitude algae biofuel production co-located with wastewater, CO2, and waste heat. This project helps Canada meet its goal of diversifying fuel sources with algae-based biofuels. The biofuel production will provide a wide range of benefits including wastewater treatment, CO2 reuse and reduction of demand for fossil-based fuels. The higher energy density in algae-based fuels gives them an advantage over crop-based biofuels as the 'production' footprint required is much less, resulting in less water consumed and little, if any conversion of agricultural land from food to fuel production. Besides being a potential source for liquid fuel, algae have the potential to be used to generate electricity through the burning of dried biomass, or anaerobically digested to generate methane for electricity production. Co-locating algae production with waste streams may be crucial for making algae an economically valuable fuel source, and will certainly improve its overall ecological sustainability. The modeling process will address these questions, and others that are important to the use of water for energy production: What are the locations where all resources are co-located, and what volumes of algal biomass and oil can be produced there? In locations where co-location does not occur, what resources should be transported, and how far, while maintaining economic viability? This work is being funded through the U.S. Department of Energy (DOE) Biomass Program Office of Energy Efficiency and Renewable Energy, and is part of a larger collaborative effort that includes sampling, strain isolation, strain characterization and cultivation being performed by the NREL and Canada's NRC. Results from the NREL / NRC collaboration including specific productivities of selected algal strains will eventually be incorporated into this model.

  3. ,,"Distillate Fuel Oil",,,"Alternative Energy Sources(b)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average

  4. Poloidal Distribution of Recycling Sources and Core Plasma Fueling in DIII-D, ASDEX-Upgrade, and JET L-mode Plasmas

    E-Print Network [OSTI]

    Poloidal Distribution of Recycling Sources and Core Plasma Fueling in DIII-D, ASDEX-Upgrade, and JET L-mode Plasmas

  5. KINETIC MODELING OF FUEL EFFECTS OVER A WIDE RANGE OF CHEMISTRY, PROPERTIES, AND SOURCES

    SciTech Connect (OSTI)

    Bunting, Bruce G [ORNL] [ORNL; Bunce, Michael [ORNL] [ORNL; Niak, Chitralkumar [Reaction Design] [Reaction Design; Puduppakkam, Karthik [Reaction Design] [Reaction Design

    2012-01-01T23:59:59.000Z

    Kinetic modeling is an important tool for engine design and can also be used for engine tuning and to study response to fuel chemistry and properties before an engine configuration is physically built and tested. Methodologies needed for studying fuel effects include development of fuel kinetic mechanisms for pure compounds, tools for designing surrogate blends of pure compounds that mimic a desired market fuel, and tools for reducing kinetic mechanisms to a size that allows inclusion in complex CFD engine models. In this paper, we demonstrate the use of these tools to reproduce engine results for a series of research diesel fuels using surrogate fuels in an engine and then modeling results with a simple 2 component surrogate blend with physical properties adjusted to vary fuel volatility. Results indicate that we were reasonably successful in mimicking engine performance of real fuels with blends of pure compounds. We were also successful in spanning the range of the experimental data using CFD and kinetic modeling, but further tuning and matching will be needed to exactly match engine performance of the real and surrogate fuels.

  6. renewable sources of power. Demand for fossil fuels surely will overrun supply s

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting8.pdfand Characterization of aHome *NRC FORM 741OFrenewable

  7. ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average0.9 Relative Standard Errors for Table

  8. ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average0.9 Relative Standard Errors for Table9 Relative

  9. ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventional Gasoline Sales toReformulated, Average0.9 Relative Standard Errors for

  10. Algae: The Source of Reliable, Scalable, and Sustainable Liquid Transportation Fuels

    Broader source: Energy.gov [DOE]

    At the February 12, 2009 joint Web conference of DOE's Biomass and Clean Cities programs, Brian Goodall (Sapphire Energy) spoke on Continental Airlines’ January 7th Biofuels Test. The flight was fueled, in part, by Sapphire’s algae-based jet fuel.

  11. Neutron source, linear-accelerator fuel enricher and regenerator and associated methods

    DOE Patents [OSTI]

    Steinberg, Meyer (Huntington Station, NY); Powell, James R. (Shoreham, NY); Takahashi, Hiroshi (Setauket, NY); Grand, Pierre (Blue Point, NY); Kouts, Herbert (Brookhaven, NY)

    1982-01-01T23:59:59.000Z

    A device for producing fissile material inside of fabricated nuclear elements so that they can be used to produce power in nuclear power reactors. Fuel elements, for example, of a LWR are placed in pressure tubes in a vessel surrounding a liquid lead-bismuth flowing columnar target. A linear-accelerator proton beam enters the side of the vessel and impinges on the dispersed liquid lead-bismuth columns and produces neutrons which radiate through the surrounding pressure tube assembly or blanket containing the nuclear fuel elements. These neutrons are absorbed by the natural fertile uranium-238 elements and are transformed to fissile plutonium-239. The fertile fuel is thus enriched in fissile material to a concentration whereby they can be used in power reactors. After use in the power reactors, dispensed depleted fuel elements can be reinserted into the pressure tubes surrounding the target and the nuclear fuel regenerated for further burning in the power reactor.

  12. An assessment of carbon sources for the production of synthetic fuels from nuclear hydrogen

    E-Print Network [OSTI]

    Leung, MinWah

    2007-01-01T23:59:59.000Z

    In the transportation sector, the current dependence on petroleum to satisfy large transportation fuel demand in the US is unsustainable. Oil resources are finite, and causing heavy US reliance on oil imports. Therefore, ...

  13. International Source Book: Nuclear Fuel Cycle Research and Development Vol 1 Volume 1

    SciTech Connect (OSTI)

    Harmon,, K. M.; Lakey,, L. T.

    1983-07-01T23:59:59.000Z

    This document starts with an overview that summarizes nuclear power policies and waste management activities for nations with significant commercial nuclear fuel cycle activities either under way or planned. A more detailed program summary is then included for each country or international agency conducting nuclear fuel cycle and waste management research and development. This first volume includes the overview and the program summaries of those countries listed alphabetically from Argentina to Italy.

  14. Emissions From Various Biodiesel Sources Compared to a Range of Diesel Fuels in DPF Equipped Diesel Engines

    SciTech Connect (OSTI)

    Williams, A.; Burton, J.; Christensen, E.; McCormick, R. L.; Tester, J.

    2011-01-01T23:59:59.000Z

    The purpose of this study was to measure the impact of various sources of petroleum-based and bio-based diesel fuels on regulated emissions and fuel economy in diesel particulate filter (DPF) equipped diesel engines. Two model year 2008 diesel engines were tested with nine fuels including a certification ultra-low sulfur diesel (ULSD), local ULSD, high aromatic ULSD, low aromatic ULSD, and twenty percent blends of biodiesel derived from algae, camelina, soy, tallow, and yellow grease. Regulated emissions were measured over the heavy duty diesel transient test cycle. Measurements were also made of DPF-out particle size distribution and total particle count from a 13-mode steady state test using a fast mobility particle sizer. Test engines were a 2008 Cummins ISB and a 2008 International Maxx Force 10, both equipped with actively regenerated DPFs. Fuel consumption was roughly 2% greater over the transient test cycle for the B20 blends versus certification ULSD in both engines, consistent with the slightly lower energy content of biodiesel. Unlike studies conducted on older model engines, these engines equipped with diesel oxidation catalysts and DPFs showed small or no measurable fuel effect on the tailpipe emissions of total hydrocarbons (THC), carbon monoxide (CO) and particulate matter (PM). No differences in particle size distribution or total particle count were seen in a comparison of certification ULSD and B20 soy, with the exception of engine idling conditions where B20 produced a small reduction in the number of nucleation mode particles. In the Cummins engine, B20 prepared from algae, camelina, soy, and tallow resulted in an approximately 2.5% increase in nitrogen oxides (NO{sub x}) compared to the base fuel. The International engine demonstrated a higher degree of variability for NO{sub x} emissions, and fuel effects could not be resolved (p > 0.05). The group of petroleum diesel test fuels produced a range of NO{sub x} emissions very similar to that caused by blending of biodiesel. Test cycles where an active regeneration of the DPF occurred resulted in a nearly threefold increase in NO{sub x} emissions and a 15% increase in fuel consumption. The full quantification of DPF regeneration events further complicates the accurate calculation of fuel impacts on emissions and fuel consumption.

  15. HYDRA-I: a three-dimensional finite difference code for calculating the thermohydraulic performance of a fuel assembly contained within a canister

    SciTech Connect (OSTI)

    McCann, R.A.

    1980-12-01T23:59:59.000Z

    A finite difference computer code, named HYDRA-I, has been developed to simulate the three-dimensional performance of a spent fuel assembly contained within a cylindrical canister. The code accounts for the coupled heat transfer modes of conduction, convection, and radiation and permits spatially varying boundary conditions, thermophysical properties, and power generation rates. This document is intended as a manual for potential users of HYDRA-I. A brief discussion of the governing equations, the solution technique, and a detailed description of how to set up and execute a problem are presented. HYDRA-I is designed for operation on a CDC 7600 computer. An appendix is included that summarizes approximately two dozen different cases that have been examined. The cases encompass variations in fuel assembly and canister configurations, power generation rates, filler materials, and gases. The results presented show maximum and various local temperatures and heat fluxes illustrating the changing importance of the three heat transfer modes. Finally, the need for comparison with experimental data is emphasized as an aid in code verification although the limited data available indicate excellent agreement.

  16. Estimate of the Sources of Plutonium-Containing Wastes Generated from MOX Fuel Production in Russia

    SciTech Connect (OSTI)

    Kudinov, K. G.; Tretyakov, A. A.; Sorokin, Yu. P.; Bondin, V. V.; Manakova, L. F.; Jardine, L. J.

    2002-02-26T23:59:59.000Z

    In Russia, mixed oxide (MOX) fuel is produced in a pilot facility ''Paket'' at ''MAYAK'' Production Association. The Mining-Chemical Combine (MCC) has developed plans to design and build a dedicated industrial-scale plant to produce MOX fuel and fuel assemblies (FA) for VVER-1000 water reactors and the BN-600 fast-breeder reactor, which is pending an official Russian Federation (RF) site-selection decision. The design output of the plant is based on a production capacity of 2.75 tons of weapons plutonium per year to produce the resulting fuel assemblies: 1.25 tons for the BN-600 reactor FAs and the remaining 1.5 tons for VVER-1000 FAs. It is likely the quantity of BN-600 FAs will be reduced in actual practice. The process of nuclear disarmament frees a significant amount of weapons plutonium for other uses, which, if unutilized, represents a constant general threat. In France, Great Britain, Belgium, Russia, and Japan, reactor-grade plutonium is used in MOX-fuel production. Making MOX-fuel for CANDU (Canada) and pressurized water reactors (PWR) (Europe) is under consideration in Russia. If this latter production is added, as many as 5 tons of Pu per year might be processed into new FAs in Russia. Many years of work and experience are represented in the estimates of MOX fuel production wastes derived in this report. Prior engineering studies and sludge treatment investigations and comparisons have determined how best to treat Pu sludges and MOX fuel wastes. Based upon analyses of the production processes established by these efforts, we can estimate that there will be approximately 1200 kg of residual wastes subject to immobilization per MT of plutonium processed, of which approximately 6 to 7 kg is Pu in the residuals per MT of Pu processed. The wastes are various and complicated in composition. Because organic wastes constitute both the major portion of total waste and of the Pu to be immobilized, the recommended treatment of MOX-fuel production waste is incineration or calcination, alkali sintering, and dissolution of sintered products in nitric acid. Insoluble residues are then mixed with vitrifying components and Pu sludges, vitrified, and sent for storage and disposal. Implementation of the intergovernmental agreement between Russia and the United States (US) regarding the utilization of 34 tons of weapons plutonium will also require treatment of Pu containing MOX fabrication wastes at the MCC radiochemical production plant.

  17. Nuclear forensics: attributing the source of spent fuel used in an RDD event 

    E-Print Network [OSTI]

    Scott, Mark Robert

    2005-08-29T23:59:59.000Z

    An RDD attack against the U.S. is something America needs to prepare against. If such an event occurs the ability to quickly identify the source of the radiological material used in an RDD would aid investigators in ...

  18. Environmental improvements resulting from the use of renewable energy sources and nonpolluting fuels and technologies with district heating and cooling

    SciTech Connect (OSTI)

    Kainlauri, E.O. [Iowa State Univ., Ames, IA (United States)

    1996-12-31T23:59:59.000Z

    The use of district heating and cooling (DHC) for a group of buildings or on a city-wide basis does by itself usually improve the local environmental conditions, regardless of the type of fuel used, as the DHC system replaces a larger number of individual units and is able to utilize anti-pollution and emission-cleaning devices at a central location. The DHC system may also be able to use several alternative choices for fuel, including renewable energy sources, depending on both economic and environmentally required conditions. The DHC systems are also safe and clean for the users, eliminating the need for fuel-burning equipment in their buildings. Solar energy is being utilized to a small degree in district heating systems, sometimes with the assistance of energy storage facilities, to reduce the amount of fuel needed to burn for the total system. The use of municipal and industrial waste as fuel helps reduce the amount of fossil fuel being burned and also reduces the areas of landfill needed to dispose wastes, but special care must be exercised to avoid releases of toxic gases into the atmosphere. This paper describes a few examples of the use of solar energy and energy storage in community-wide systems (Lyckebo in Sweden, Kerava in Finland), the use of natural gas in DHC (Lappenranta and Lahti in Finland), and applications of heat pump utilization in DHC (Uppsala wastewater and Stockholm preheat system in Sweden). Some projections are made of several alternative fuels derived from biomass, recycling, and other possible technologies in the future development of waste-handling and DHC systems. A brief discussion is included regarding the environmental concerns and legislative development in the US and elsewhere in the world.

  19. International Source Book: Nuclear Fuel Cycle Research and Development Volume 2

    SciTech Connect (OSTI)

    Harmon,, K. M.; Lakey,, L. T.

    1982-11-01T23:59:59.000Z

    This document starts with an overview that summarizes nuclear power policies and waste management activities for nations with significant commercial nuclear fuel cycle activities either under way or planned. A more detailed program summary is then included for each country or international agency conducting nuclear fuel cycle and waste management research and development. This second volume includes the program summaries of those countries listed alphabetically from Japan to Yugoslavia. Information on international agencies and associations, particularly the IAEA, NEA, and CEC, is provided also.

  20. Nuclear forensics: attributing the source of spent fuel used in an RDD event

    E-Print Network [OSTI]

    Scott, Mark Robert

    2005-08-29T23:59:59.000Z

    accurate for measuring ratios of isotopes from the samples. 7 Fig. 2. Overview of RDD material attribution project. 8 The ability to measure trace actinides in spent fuel with an accuracy better than 1% is necessary. In a 1 gram sample of spent fuel..., some of the measured actinides will be present in the microgram range. Mass spectrometry has advanced to the point that isotopic ratios can be measured in the nanogram range for fission products and picogram range for actinides [8,9]. Isotopic...

  1. SOURCE SIGNATURES OF FINE PARTICULATE MATTER FROM PETROLEUM REFINING AND FUEL USE

    SciTech Connect (OSTI)

    Gerald P. Huffman; Frank E. Huggins; Naresh Shah; Artur Braun; Yuanzhi Chen; J. David Robertson; Joseph Kyger; Adel F. Sarofim; Ronald J. Pugmire; Henk L.C. Meuzelaar; JoAnn Lighty

    2003-07-31T23:59:59.000Z

    The molecular structure and microstructure of a suite of fine particulate matter (PM) samples produced by the combustion of residual fuel oil and diesel fuel were investigated by an array of analytical techniques. Some of the more important results are summarized below. Diesel PM (DPM): A small diesel engine test facility was used to generate a suite of diesel PM samples from different fuels under engine load and idle conditions. C XANES, {sup 13}C NMR, XRD, and TGA were in accord that the samples produced under engine load conditions contained more graphitic material than those produced under idle conditions, which contained a larger amount of unburned diesel fuel and lubricating oil. The difference was enhanced by the addition of 5% of oxygenated compounds to the reference fuel. Scanning transmission x-ray micro-spectroscopy (STXM) was able to distinguish particulate regions rich in C=C bonds from regions rich in C-H bonds with a resolution of {approx}50 nm. The former are representative of more graphitic regions and the latter of regions rich in unburned fuel and oil. The dominant microstructure observed by SEM and TEM consisted of complex chain-like structures of PM globules {approx}20-100 nm in mean diameter, with a high fractal dimension. High resolution TEM revealed that the graphitic part of the diesel soot consisted of onion-like structures made up of graphene layers. Typically 3-10 graphene layers make up the ''onion rings'', with the layer spacing decreasing as the number of layers increases. ROFA PM: Residual oil fly ash (ROFA) PM has been analyzed by a new approach that combines XAFS spectroscopy with selective leaching procedures. ROFA PM{sub 2.5} and PM{sub 2.5+} produced in combustion facilities at the U.S. EPA National Risk Management Research Laboratory (NRML) were analyzed by XAFS before and after leaching with water, acid (1N HCl), and pentane. Both water and acid leaching removed most of the metal sulfates, which were the dominant phase present for most metals (V, Ni, Zn, etc.). This allowed conclusive identification in the leaching residue of important secondary sulfide and oxide phases, including Ni sulfide, a toxic and carcinogenic phase observed in the leached PM{sub 2.5+} samples. Other significant secondary phases identified included V{sub 2}O{sub 4}, V sulfide, and NiFe{sub 2}O{sub 4}.

  2. TRUMP-BD: A computer code for the analysis of nuclear fuel assemblies under severe accident conditions

    SciTech Connect (OSTI)

    Lombardo, N.J.; Marseille, T.J.; White, M.D.; Lowery, P.S.

    1990-06-01T23:59:59.000Z

    TRUMP-BD (Boil Down) is an extension of the TRUMP (Edwards 1972) computer program for the analysis of nuclear fuel assemblies under severe accident conditions. This extension allows prediction of the heat transfer rates, metal-water oxidation rates, fission product release rates, steam generation and consumption rates, and temperature distributions for nuclear fuel assemblies under core uncovery conditions. The heat transfer processes include conduction in solid structures, convection across fluid-solid boundaries, and radiation between interacting surfaces. Metal-water reaction kinetics are modeled with empirical relationships to predict the oxidation rates of steam-exposed Zircaloy and uranium metal. The metal-water oxidation models are parabolic in form with an Arrhenius temperature dependence. Uranium oxidation begins when fuel cladding failure occurs; Zircaloy oxidation occurs continuously at temperatures above 13000{degree}F when metal and steam are available. From the metal-water reactions, the hydrogen generation rate, total hydrogen release, and temporal and spatial distribution of oxide formations are computed. Consumption of steam from the oxidation reactions and the effect of hydrogen on the coolant properties is modeled for independent coolant flow channels. Fission product release from exposed uranium metal Zircaloy-clad fuel is modeled using empirical time and temperature relationships that consider the release to be subject to oxidation and volitization/diffusion ( bake-out'') release mechanisms. Release of the volatile species of iodine (I), tellurium (Te), cesium (Ce), ruthenium (Ru), strontium (Sr), zirconium (Zr), cerium (Cr), and barium (Ba) from uranium metal fuel may be modeled.

  3. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Fuel-Efficient Driving Training Commonwealth-approved driver education programs must include fuel-efficient driving practices as a curriculum component. (Reference Virginia Code...

  4. Joint source channel coding for non-ergodic channels: the distortion signal-to-noise ratio (SNR) exponent perspective

    E-Print Network [OSTI]

    Bhattad, Kapil

    2008-10-10T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . 72 F. Performance Analysis . . . . . . . . . . . . . . . . . . . . . 73 1. SISO / SIMO / MISO . . . . . . . . . . . . . . . . . . 77 2. The General MIMO Channel . . . . . . . . . . . . . . 79 3. Block Fading SISO Channel / Parallel SISO Channels 86 4... the mutual information between U and V. The second part, channel coding, is to send the bit stream B reliably over the channel. This is possible if and only if the channel coding rate Rc (bits per channel use) is less than the capacity of the channel...

  5. Production of Hydrogen for Clean and Renewable Source of Energy for Fuel Cell Vehicles

    SciTech Connect (OSTI)

    Deng, Xunming; Ingler, William B, Jr.; Abraham, Martin; Castellano, Felix; Coleman, Maria; Collins, Robert; Compaan, Alvin; Giolando, Dean; Jayatissa, Ahalapitiya. H.; Stuart, Thomas; Vonderembse, Mark

    2008-10-31T23:59:59.000Z

    This was a two-year project that had two major components: 1) the demonstration of a PV-electrolysis system that has separate PV system and electrolysis unit and the hydrogen generated is to be used to power a fuel cell based vehicle; 2) the development of technologies for generation of hydrogen through photoelectrochemical process and bio-mass derived resources. Development under this project could lead to the achievement of DOE technical target related to PEC hydrogen production at low cost. The PEC part of the project is focused on the development of photoelectrochemical hydrogen generation devices and systems using thin-film silicon based solar cells. Two approaches are taken for the development of efficient and durable photoelectrochemical cells; 1) An immersion-type photoelectrochemical cells (Task 3) where the photoelectrode is immersed in electrolyte, and 2) A substrate-type photoelectrochemical cell (Task 2) where the photoelectrode is not in direct contact with electrolyte. Four tasks are being carried out: Task 1: Design and analysis of DC voltage regulation system for direct PV-to-electrolyzer power feed Task 2: Development of advanced materials for substrate-type PEC cells Task 3: Development of advanced materials for immersion-type PEC cells Task 4: Hydrogen production through conversion of biomass-derived wastes

  6. 1 | Fuel Cell Technologies Program Source: US DOE 2/25/2011 eere.energy.gov Overview of Hydrogen &

    E-Print Network [OSTI]

    2010 $/kW PEM cost (5-10kW) Stationary Fuel Cell Costs Preliminary projected cost of stationary fuel & Fuel Cell Activities FUEL CELL TECHNOLOGIES PROGRAM IPHE ­ Stationary Fuel Cell Workshop Rick Farmer U: US DOE 2/25/2011 eere.energy.gov Technology Barriers* Economic& Institutional Barriers Fuel Cell Cost

  7. Compiling Codes on Euclid

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

    Compiling Codes Compiling Codes Overview Open Mpi is the the only MPI library available on Euclid. This implementation of MPI-2 is described at Open MPI: Open Source High...

  8. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.5

  9. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal StocksProved Reserves (Billion Cubic Feet)Wellhead0 Capability to.54 End

  10. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy1

  11. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number of

  12. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number of8 Number

  13. Source Signatures of Fine Particulate Matter from Petroleum Refining and Fuel Use

    SciTech Connect (OSTI)

    Gerald P. Huffman; Frank E. Huggins; Naresh Shah; Robert Huggins

    1999-12-31T23:59:59.000Z

    Combustion experiments were carried out on four different residual fuel oils in a 732 kW boiler. Particulate matter (PM) emission samples were separated aerodynamically by a cyclone into fractions that were nominally less than and greater than 2.5 microns in diameter. However, examination of several of the samples by computer-controlled scanning electron microscopy (CCSEM) revealed that part of the <2.5 micron fraction (PM{sub 2.5}) in fact consists of carbonaceous cenospheres and vesicular particles that range up to 10 microns in diameter. X-ray absorption fine structure (XAFS) spectroscopy data were obtained at the S, V, Ni, Fe, Cu, Zn, and As Kedges, and at the Pb L-edge. Deconvolution of the x-ray absorption near edge structure (XANES) region of the S spectra established that the dominant molecular forms of S present were sulfate (26-84% of total S) and thiophene (13-39% of total S). Sulfate was greater in the PM{sub 2.5} samples than in the >2.5 micron samples (PM{sub 2.5+}). Inorganic sulfides and elemental sulfur were present in lower percentages. The Ni XANES spectra from all of the samples agree fairly well with that of NiSO4, while most of the V spectra closely resemble that of vanadyl sulfate (VO{center_dot}SO{sub 4}{center_dot}xH{sub 2}O). The other metals investigated (Fe, Cu, Zn, and Pb) were also present predominantly as sulfates. Arsenic is present as an arsenate (As{sup +5}). X-ray diffraction patterns of the PM{sub 2.5} fraction exhibit sharp lines due to sulfate compounds (Zn, V, Ni, Ca, etc.) superimposed on broad peaks due to amorphous carbons. All of the samples contain a significant organic component, with the LOI ranging from 64 to 87 % for the PM{sub 2.5} fraction and from 88 to 97% for the PM{sub 2.5+} fraction. {sup 13}C nuclear magnetic resonance (NMR) analysis indicates that the carbon is predominantly condensed in graphitic structures. Aliphatic structure was detected in only one of seven samples examined.

  14. A TEM study of soot, carbon nanotubes, and related fullerene nanopolyhedra in common fuel-gas combustion sources

    SciTech Connect (OSTI)

    Murr, L.E. [Department of Metallurgical and Materials Engineering, The University of Texas at El Paso, El Paso, TX 79968 (United States)]. E-mail: fekberg@utep.edu; Soto, K.F. [Department of Metallurgical and Materials Engineering, The University of Texas at El Paso, El Paso, TX 79968 (United States)

    2005-07-15T23:59:59.000Z

    Nanoparticle aggregates collected by thermophoretic precipitation from natural gas-air and propane-air kitchen stove top flame exhausts, natural gas-air water heater roof-top exhausts, and other common fuel-gas combustion sources were observed by transmission electron microscopy to consist of occasional aggregates of mostly turbostratic carbon spherules, aggregates of crystalline graphite nanoparticles mixed with other fullerene nanoforms; and aggregates of various sizes of multiwall carbon nanotubes and other multishell, fullerene polyhedra for optimal blue-flame combustion. The carbon nanotube structures and end cap variations as well as fullerene polyhedral structures were observed to be the same as those for arc-evaporation produced nanoaggregates. Nanoparticle aggregation or the occurrence of carbon nanoforms always occurred as aggregates with nominal sizes ranging from about 0.5 {mu}m to 1.5 {mu}m.

  15. Evaluation of Aqueous and Powder Processing Techniques for Production of Pu-238-Fueled General Purpose Heat Sources

    SciTech Connect (OSTI)

    Not Available

    2008-06-01T23:59:59.000Z

    This report evaluates alternative processes that could be used to produce Pu-238 fueled General Purpose Heat Sources (GPHS) for radioisotope thermoelectric generators (RTG). Fabricating GPHSs with the current process has remained essentially unchanged since its development in the 1970s. Meanwhile, 30 years of technological advancements have been made in the fields of chemistry, manufacturing, ceramics, and control systems. At the Department of Energy’s request, alternate manufacturing methods were compared to current methods to determine if alternative fabrication processes could reduce the hazards, especially the production of respirable fines, while producing an equivalent GPHS product. An expert committee performed the evaluation with input from four national laboratories experienced in Pu-238 handling.

  16. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Fuels Promotion and Information The Center for Alternative Fuels (Center) promotes alternative fuels as viable energy sources in the state. The Center must assess the...

  17. BACT/LAER Clearinghouse: A compilation of control-technology determinations. Volume 2. Appendix H, source codes 1-3. Final report

    SciTech Connect (OSTI)

    Steigerwald, J.

    1990-06-01T23:59:59.000Z

    The Clean Air Act as amended in 1977 prescribes several technology-based limitations affecting new or modified air pollution sources: (1) new source performance standards (NSPS); (2) best available control technology (BACT); and (3) lowest achievable emission rate (LAER). The basic purposes of the BACT/LAER Clearinghouse are to: (1) provide State and local air pollution control agencies with current information on case-by-case control technology determinations that are made nationwide and (2) promote communication, cooperation, and sharing of control technology information among the permitting agencies. The information presented in the compilation was abstracted from preconstruction permits and submitted voluntarily by the State and local air pollution control agencies. The Clearinghouse is intended as a reference for State and local agencies in making BACT/LAER decisions. Since the 1985 BLC document was published in June of that year, annual supplements containing only those determinations inserted or revised during the previous 12 months were published. A master edition containing all new/revised determinations completed during the past 5 years was planned to be published every 5 years. The report is the 5 year compilation containing all determinations inserted or updated since June 1985. The volume contains appendice H which discusses detailed source listings for new determinations Source codes 1-3.

  18. BACT/LAERR Clearinghouse: A compilation of control-technology determinations. Volume 4. Appendix H, source codes 7 to 12. Final report

    SciTech Connect (OSTI)

    Steigerwald, J.

    1990-06-01T23:59:59.000Z

    The Clean Air Act as amended in 1977 prescribes several technology-based limitations affecting new or modified air pollution sources: (1) new source performance standards (NSPS); (2) best available control technology (BACT); and (3) lowest achievable emission rate (LAER). The basic purposes of the BACT/LAER Clearinghouse are to: (1) provide State and local air pollution control agencies with current information on case-by-case control technology determinations that are made nationwide and (2) promote communication, cooperation, and sharing of control technology information among the permitting agencies. The information presented in this compilation was abstracted from preconstruction permits and submitted voluntarily by the State and local air pollution control agencies. The Clearinghouse is intended as a reference for State and local agencies in making BACT/LAER decisions. Since the 1985 BLC document was published in June of that year, annual supplements containing only those determinations inserted or revised during the previous 12 months were published. A master edition containing all new/revised determinations completed during the past 5 years was planned to be published every 5 years. The report is the 5 year compilation containing all determinations inserted or updated since June 1985. The volume is a continuation of appendice H which discusses detailed source listings for new determinations Source codes 8-12.

  19. Research and development of a phosphoric acid fuel cell/battery power source integrated in a test-bed bus. Final report

    SciTech Connect (OSTI)

    NONE

    1996-05-30T23:59:59.000Z

    This project, the research and development of a phosphoric acid fuel cell/battery power source integrated into test-bed buses, began as a multi-phase U.S. Department of Energy (DOE) project in 1989. Phase I had a goal of developing two competing half-scale (25 kW) brassboard phosphoric acid fuel cell systems. An air-cooled and a liquid-cooled fuel cell system were developed and tested to verify the concept of using a fuel cell and a battery in a hybrid configuration wherein the fuel cell supplies the average power required for operating the vehicle and a battery supplies the `surge` or excess power required for acceleration and hill-climbing. Work done in Phase I determined that the liquid-cooled system offered higher efficiency.

  20. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Stationary and Portable Fuel Cell Systems Codes and Standards Citations

    E-Print Network [OSTI]

    of Stationary Fuel Cell Power Systems (National Fire Protection Association 2007) · 6.4.1 Gaseous Hydrogen · 502 Required Systems · 510 Hazardous Exhaust Systems NFPA 55, Compressed Gases and Cryogenic Fluids Permitted · 7.3 Exhaust Systems Compressed Hydrogen Gas Storage International Building Code (International

  1. NATURE CLIMATE CHANGE | VOL 3 | FEBRUARY 2013 | www.nature.com/natureclimatechange 105 ossil fuels are expected to remain the dominant source of energy

    E-Print Network [OSTI]

    Haszeldine, Stuart

    fuels are expected to remain the dominant source of energy for decades to come1 (Fig. 1). Capturing, the International Energy Agency (IEA) Blue Map scenario2 envis- ages a 19% CO2 reductions contribution from CCS (ref. 4.) The IEA World Energy Outlook 20111 forecasts that existing energy facilities will account

  2. Journal of Power Sources, Vol.165, issue 2, March 2007, pp.819-832. Abstract--Power management strategy is as significant as component sizing in achieving optimal fuel economy of a

    E-Print Network [OSTI]

    Peng, Huei

    Management and Design Optimization of Fuel Cell/Battery Hybrid Vehicles #12;Journal of Power Sources, Vol.165 strategy is as significant as component sizing in achieving optimal fuel economy of a fuel cell hybrid management strategy and component sizing affect vehicle performance and fuel economy considerably in hybrid

  3. Coding for Cooperative Communications

    E-Print Network [OSTI]

    Uppal, Momin Ayub

    2011-10-21T23:59:59.000Z

    of SWCNSQ based CF relaying as a performance benchmark, we will present a practical code design using low-density parity-check (LDPC) codes for error protection at the source, and nested scalar quantization plus irregular repeat-accumulate (IRA) codes... develop and design practical coding strategies which perform very close to the infor- mation theoretic limits. The cooperative communication channels we consider are: (a) The Gaussian re- lay channel, (b) the quasi-static fading relay channel, (c...

  4. System and method for investigating sub-surface features of a rock formation with acoustic sources generating coded signals

    DOE Patents [OSTI]

    Vu, Cung Khac; Nihei, Kurt; Johnson, Paul A; Guyer, Robert; Ten Cate, James A; Le Bas, Pierre-Yves; Larmat, Carene S

    2014-12-30T23:59:59.000Z

    A system and a method for investigating rock formations includes generating, by a first acoustic source, a first acoustic signal comprising a first plurality of pulses, each pulse including a first modulated signal at a central frequency; and generating, by a second acoustic source, a second acoustic signal comprising a second plurality of pulses. A receiver arranged within the borehole receives a detected signal including a signal being generated by a non-linear mixing process from the first-and-second acoustic signal in a non-linear mixing zone within the intersection volume. The method also includes-processing the received signal to extract the signal generated by the non-linear mixing process over noise or over signals generated by a linear interaction process, or both.

  5. BACT/LAER Clearinghouse: A compilation of control-technology determinations. Volume 3. Appendix H, source codes 4 to 6. Final report

    SciTech Connect (OSTI)

    Speigerwald, J.

    1990-06-01T23:59:59.000Z

    The Clean Air Act as amended in 1977 prescribes several technology-based limitations affecting new or modified air pollution sources: (1) new source performance standards (NSPS); (2) best available control technology (BACT); and (3) lowest achievable emission rate (LAER). The basic purposes of the BACT/LAER Clearinghouse are to: (1) provide State and local air pollution control agencies with current information on case-by-case control technology determinations that are made nationwide and (2) promote communication, cooperation, and sharing of control technology information among the permitting agencies. The information presented in this compilation was abstracted from preconstruction permits and submitted voluntarily by the State and local air pollution control agencies. The Clearinghouse is intended as a reference for State and local agencies in making BACT/LAER decisions. Since the 1985 BLC document was published in June of that year, annual supplements containing only those determinations inserted or revised during the previous 12 months were published. A master edition containing all new/revised determinations completed during the past 5 years was planned to be published every 5 years. The report is the 5 year compilation containing all determinations inserted or updated since June 1985. The volume is a continuation of appendice H which discusses detailed listings for new determinations Source codes 4-7.

  6. 1 | Fuel Cell Technologies Program Source: US DOE 12/5/2012 eere.energy.gov U.S. Department of Energy Fuel Cell Activities

    E-Print Network [OSTI]

    ); · Nearly 30,000 residential fuel cells deployed (40,000 by April 2013) · Plans for 2 million FCEVs and 1000,000,000] Primary Power Systems --Including CHP [9,000] Auxiliary Power Units for Transportation [20,000] Transit 2010 Outlook, 2MicroCHP, 3Large scale CHP, 4Industry estimate based on refrigerated truck and trailer

  7. Light Curves of Core-Collapse Supernovae with Substantial Mass Loss using the New Open-Source SuperNova Explosion Code (SNEC)

    E-Print Network [OSTI]

    Morozova, V; Renzo, M; Ott, C D; Clausen, D; Couch, S M; Ellis, J; Roberts, L F

    2015-01-01T23:59:59.000Z

    We present the SuperNova Explosion Code SNEC, an open-source Lagrangian code for the hydrodynamics and equilibrium-diffusion radiation transport in the expanding envelopes of supernovae. Given a model of a progenitor star, an explosion energy, and an amount and distribution of radioactive nickel, SNEC generates the bolometric light curve, as well as the light curves in different wavelength bands assuming black body emission. As a first application of SNEC, we consider the explosions of a grid of 15 Msun (at zero-age main sequence) stars whose hydrogen envelopes are stripped to different extents and at different points in their evolution. The resulting light curves exhibit plateaus with durations of ~20-100 days if >~1.5-2 Msun of hydrogen-rich material is left and no plateau if less hydrogen-rich material is left. The shorter plateau lengths are unlike the Type IIP supernova light curves typically observed in nature. This suggests that, at least for zero-age main sequence masses <~ 20 Msun, hydrogen mass l...

  8. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    to meet national air quality standards. Clean fuels are defined as propane, compressed natural gas, and electricity. Additional restrictions apply. (Reference Utah Code 19-2-105...

  9. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    for the following taxable years. For more information, see the Indiana Department of Revenue Fuel & Environmental (Gasoline) Tax Forms website. (Reference Indiana Code 6-3.1-28...

  10. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    New Jersey Department of Environmental Protection Memorandum on Aftermarket Conversion Systems for Alternative Fuels and New Jersey Administrative Code 7:27-29...

  11. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Biodiesel Use in School Buses The South Carolina Department of Education must fuel state school bus fleets with biodiesel when feasible. (Reference South Carolina Code of Laws...

  12. Energy Management of DVS-DPM Enabled Embedded Systems Powered by Fuel Cell-Battery Hybrid Source

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    minimization policy and an optimal fuel flow control policy. The proposed method, when applied to a randomized and embedded systems General Terms: Algorithms, Design Keywords: DPM, DVS, fuel cell, hybrid power, embedded system 1. INTRODUCTION Energy minimization has always been a critical design criteria for portable

  13. Code Description Code Description

    E-Print Network [OSTI]

    Leave* 5127 Officials 5217 Faculty Sick Leave Payment 5124 Personal Service Contracts 5211 Research Services Contracts Scholarships & Fellowships Faculty Fringe Contract Services #12;Banner Account Code

  14. Introduction to Hydrogen for Code Officials | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | OpenHunanInformation source HistoryInternationalHydrogen for Code

  15. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    subdivisions for the production of alternative fuels are prohibited by law, with exceptions for certain coal-based liquid fuels. (Reference West Virginia Code 8-27A-3 and 11-13D-3D...

  16. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    to obtain a special fuel user permit from the Commission. Clean fuels are defined as propane, natural gas, and electricity. (Reference Utah Code 59-13-102, 59-13-303, and 59-13-304...

  17. ,"U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGross

  18. ,"U.S. Distillate Fuel Oil and Kerosene Sales by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillateReserves+

  19. ,"U.S. Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+LiquidsAnnual",2014Annual",2014

  20. ,"U.S. Residual Fuel Oil Prices by Sales Type"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant Stocks of Selected

  1. ,"U.S. Residual Fuel Oil Refiner Sales Volumes"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant Stocks of SelectedRefiner

  2. Fuel Cell Technologies Program Multi-Year Research, Development and Demonstration Plan - Section 3.7 Hydrogen Safety, Codes and Standards

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdf Flash2006-52.pdf0.pdfDepartment ofEnergy 3 Fuel Cell2| Department ofA

  3. Mixing models for the two-way-coupling of CFD codes and zero-dimensional multi-zone codes to model HCCI combustion

    SciTech Connect (OSTI)

    Barths, H. [HFV6 Performance and Emissions, GM Powertrain, MC: 480-712-140, 30003 Van Dyke Ave, Warren, MI 48090 (United States); Felsch, C.; Peters, N. [Institut fuer Technische Verbrennung, RWTH Aachen University, Templergraben 64, 52056 Aachen (Germany)

    2008-11-15T23:59:59.000Z

    The objective of this work is the development of a consistent mixing model for the two-way-coupling of a CFD code and a multi-zone code based on multiple zero-dimensional reactors. The two-way-coupling allows for a computationally efficient modeling of HCCI combustion. The physical domain in the CFD code is subdivided into multiple zones based on three phase variables (fuel mixture fraction, dilution, and total enthalpy). Those phase variables are sufficient for the description of the thermodynamic state of each zone, assuming that each zone is at the same pressure. Each zone in the CFD code is represented by a corresponding zone in the zero-dimensional code. The zero-dimensional code solves the chemistry for each zone, and the heat release is fed back into the CFD code. The difficulty in facing this kind of methodology is to keep the thermodynamic state of each zone consistent between the CFD code and the zero-dimensional code after the initialization of the zones in the multi-zone code has taken place. The thermodynamic state of each zone (and thereby the phase variables) will change in time due to mixing and source terms (e.g., vaporization of fuel, wall heat transfer). The focus of this work lies on a consistent description of the mixing between the zones in phase space in the zero-dimensional code, based on the solution of the CFD code. Two mixing models with different degrees of accuracy, complexity, and numerical effort are described. The most elaborate mixing model (and an appropriate treatment of the source terms) keeps the thermodynamic state of the zones in the CFD code and the zero-dimensional code identical. The models are applied to a test case of HCCI combustion in an engine. (author)

  4. Mixing models for the two-way-coupling of CFD codes and zero-dimensional multi-zone codes to model HCCI combustion

    SciTech Connect (OSTI)

    Barths, H. [HFV6 Performance and Emissions, GM Powertrain, MC: 480-712-140, 30003 Van Dyke Ave, Warren, MI 48090 (United States); Felsch, C.; Peters, N. [Institut fuer Technische Verbrennung, RWTH Aachen University, Templergraben 64, 52056 Aachen (Germany)

    2009-01-15T23:59:59.000Z

    The objective of this work is the development of a consistent mixing model for the two-way-coupling of a CFD code and a multi-zone code based on multiple zero-dimensional reactors. The two-way-coupling allows for a computationally efficient modeling of HCCI combustion. The physical domain in the CFD code is subdivided into multiple zones based on three phase variables (fuel mixture fraction, dilution, and total enthalpy). Those phase variables are sufficient for the description of the thermodynamic state of each zone, assuming that each zone is at the same pressure. Each zone in the CFD code is represented by a corresponding zone in the zero-dimensional code. The zero-dimensional code solves the chemistry for each zone, and the heat release is fed back into the CFD code. The difficulty in facing this kind of methodology is to keep the thermodynamic state of each zone consistent between the CFD code and the zero-dimensional code after the initialization of the zones in the multi-zone code has taken place. The thermodynamic state of each zone (and thereby the phase variables) will change in time due to mixing and source terms (e.g., vaporization of fuel, wall heat transfer). The focus of this work lies on a consistent description of the mixing between the zones in phase space in the zero-dimensional code, based on the solution of the CFD code. Two mixing models with different degrees of accuracy, complexity, and numerical effort are described. The most elaborate mixing model (and an appropriate treatment of the source terms) keeps the thermodynamic state of the zones in the CFD code and the zero-dimensional code identical. The models are applied to a test case of HCCI combustion in an engine. (author)

  5. Technologies to make fuels from non-food sources show progress from focused R&D, integrated demonstration, and

    E-Print Network [OSTI]

    -carbon sugars. The thermochemical pathway involves gasifying the biomass to"syngas"(hydrogen and carbon monoxide, "Demonstration and characterization of Ni/Mg/K/AD90 used for pilot-scale conditioning of biomass-derived syngas Conditioning of Biomass-Derived Syngas,"Energy & Fuels 2009, 23, 1874-1887. Key Research Results Achievement

  6. Comparative analysis of LWR and FBR spent fuels for nuclear forensics evaluation

    SciTech Connect (OSTI)

    Permana, Sidik; Suzuki, Mitsutoshi; Su'ud, Zaki [Department of Science and Technology for Nuclear Material Management (STNM), Japan Atomic Energy Agency (JAEA), 2-4 Shirane, Shirakata, Tokai Mura, Naka-gun, Ibaraki 319-1195 Nuclear Physics and Bio (Indonesia); Department of Science and Technology for Nuclear Material Management (STNM), Japan Atomic Energy Agency (JAEA), 2-4 Shirane, Shirakata, Tokai Mura, Naka-gun, Ibaraki 319-1195 (Japan); Nuclear Physics and Bio Physics Research Group, Department of Physics, Bandung Institute of Technology, Gedung Fisika, Jl. Ganesha 10, Bandung 40132 (Indonesia)

    2012-06-06T23:59:59.000Z

    Some interesting issues are attributed to nuclide compositions of spent fuels from thermal reactors as well as fast reactors such as a potential to reuse as recycled fuel, and a possible capability to be manage as a fuel for destructive devices. In addition, analysis on nuclear forensics which is related to spent fuel compositions becomes one of the interesting topics to evaluate the origin and the composition of spent fuels from the spent fuel foot-prints. Spent fuel compositions of different fuel types give some typical spent fuel foot prints and can be estimated the origin of source of those spent fuel compositions. Some technics or methods have been developing based on some science and technological capability including experimental and modeling or theoretical aspects of analyses. Some foot-print of nuclear forensics will identify the typical information of spent fuel compositions such as enrichment information, burnup or irradiation time, reactor types as well as the cooling time which is related to the age of spent fuels. This paper intends to evaluate the typical spent fuel compositions of light water (LWR) and fast breeder reactors (FBR) from the view point of some foot prints of nuclear forensics. An established depletion code of ORIGEN is adopted to analyze LWR spent fuel (SF) for several burnup constants and decay times. For analyzing some spent fuel compositions of FBR, some coupling codes such as SLAROM code, JOINT and CITATION codes including JFS-3-J-3.2R as nuclear data library have been adopted. Enriched U-235 fuel composition of oxide type is used for fresh fuel of LWR and a mixed oxide fuel (MOX) for FBR fresh fuel. Those MOX fuels of FBR come from the spent fuels of LWR. Some typical spent fuels from both LWR and FBR will be compared to distinguish some typical foot-prints of SF based on nuclear forensic analysis.

  7. Evaluation of fuel rod characterization for transient fuel modeling

    E-Print Network [OSTI]

    Bechler, Eric Wayne

    1989-01-01T23:59:59.000Z

    . The transient fuel performance computer code incorporated in this study, FREY-01, is a general purpose fuel rod evaluation code developed for the transient analyses of LWR fuel rods by the Electric Power Research Institute (EPRI). Although FREY-01.... The predictions by the codes were compared with experimental data for fuel elements from commercial and test reactors. FREY-01, developed by ANATECH Research Corporation under the sponsorship of the Electric Power Research Institute (EPRI), is a general purpose...

  8. A methodology for estimating the residual contamination contribution to the source term in a spent-fuel transport cask

    SciTech Connect (OSTI)

    Sanders, T.L. (Sandia National Labs., Albuquerque, NM (United States)); Jordan, H. (EG and G Rocky Flats, Inc., Golden, CO (United States). Rocky Flats Plant); Pasupathi, V. (Battelle, Columbus, OH (United States)); Mings, W.J. (USDOE Idaho Field Office, Idaho Falls, ID (United States)); Reardon, P.C. (GRAM, Inc., Albuquerque, NM (United States))

    1991-09-01T23:59:59.000Z

    This report describes the ranges of the residual contamination that may build up in spent-fuel transport casks. These contamination ranges are calculated based on data taken from published reports and from previously unpublished data supplied by cask transporters. The data involve dose rate measurements, interior smear surveys, and analyses of water flushed out of cask cavities during decontamination operations. A methodology has been developed to estimate the effect of residual contamination on spent-fuel cask containment requirements. Factors in estimating the maximum permissible leak rates include the form of the residual contamination; possible release modes; internal gas-borne depletion; and the temperature, pressure, and vibration characteristics of the cask during transport under normal and accident conditions. 12 refs., 9 figs., 4 tabs.

  9. Cetane Performance and Chemistry Comparing Conventional Fuels...

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

    Performance and Chemistry Comparing Conventional Fuels and Fuels Derived from Heavy Crude Sources Cetane Performance and Chemistry Comparing Conventional Fuels and Fuels...

  10. Burnup estimation of fuel sourcing radioactive material based on monitored Cs and Pu isotopic activity ratios in Fukushima N. P. S. accident

    SciTech Connect (OSTI)

    Yamamoto, T.; Suzuki, M.; Ando, Y. [Japan Nuclear Energy Safety Organization, Toranomon Towers Office, 14F, 4-1-28, Toranomon, Minato-ku, Tokyo 105-0001 (Japan)

    2012-07-01T23:59:59.000Z

    After the severe core damage of Fukushima Dai-Ichi Nuclear Power Station, radioactive material leaked from the reactor buildings. As part of monitoring of radioactivity in the site, measurements of radioactivity in soils at three fixed points have been performed for {sup 134}Cs and {sup 137}Cs with gamma-ray spectrometry and for Pu, Pu, and {sup 240}Pu with {alpha}-ray spectrometry. Correlations of radioactivity ratios of {sup 134}Cs to {sup 137}Cs, and {sup 238}Pu to the sum of {sup 239}Pu and {sup 240}Pu with fuel burnup were studied by using theoretical burnup calculations and measurements on isotopic inventories, and compared with the Cs and Pu radioactivity rations in the soils. The comparison indicated that the burnup of the fuel sourcing the radioactivity was from 18 to 38 GWd/t, which corresponded to that of the fuel in the highest power and, therefore, the highest decay heat in operating high-burnup fueled BWR cores. (authors)

  11. "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from0 DETAILED52.31.33

  12. Spinal codes

    E-Print Network [OSTI]

    Perry, Jonathan, S.M. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    Spinal codes are a new class of rateless codes that enable wireless networks to cope with time-varying channel conditions in a natural way, without requiring any explicit bit rate selection. The key idea in the code is the ...

  13. Scoping calculations of power sources for nuclear electric propulsion

    SciTech Connect (OSTI)

    Difilippo, F.C. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

    1994-05-01T23:59:59.000Z

    This technical memorandum describes models and calculational procedures to fully characterize the nuclear island of power sources for nuclear electric propulsion. Two computer codes were written: one for the gas-cooled NERVA derivative reactor and the other for liquid metal-cooled fuel pin reactors. These codes are going to be interfaced by NASA with the balance of plant in order to making scoping calculations for mission analysis.

  14. Nuclear data to support computer code validation

    SciTech Connect (OSTI)

    Fisher, S.E.; Broadhead, B.L.; DeHart, M.D.; Primm, R.T. III

    1997-04-01T23:59:59.000Z

    The rate of plutonium disposition will be a key parameter in determining the degree of success of the Fissile Materials Disposition Program. Estimates of the disposition rate are dependent on neutronics calculations. To ensure that these calculations are accurate, the codes and data should be validated against applicable experimental measurements. Further, before mixed-oxide (MOX) fuel can be fabricated and loaded into a reactor, the fuel vendors, fabricators, fuel transporters, reactor owners and operators, regulatory authorities, and the Department of Energy (DOE) must accept the validity of design calculations. This report presents sources of neutronics measurements that have potential application for validating reactor physics (predicting the power distribution in the reactor core), predicting the spent fuel isotopic content, predicting the decay heat generation rate, certifying criticality safety of fuel cycle facilities, and ensuring adequate radiation protection at the fuel cycle facilities and the reactor. The U.S. in-reactor experience with MOX fuel is first presented, followed by information related to other aspects of the MOX fuel performance information that is valuable to this program, but the data base remains largely proprietary. Thus, this information is not reported here. It is expected that the selected consortium will make the necessary arrangements to procure or have access to the requisite information.

  15. S. Wasterlain, D. Candusso, F. Harel, X. Franois, D. Hissel. Development of test instruments and protocols for the diagnostic of fuel cell stacks. Accept dans Journal of Power Sources suite 12th

    E-Print Network [OSTI]

    Boyer, Edmond

    and protocols for the diagnostic of fuel cell stacks. Accepté dans Journal of Power Sources suite à 12th Ulm for the diagnostic of fuel cell stacks Sébastien Wasterlain 1,2 , Denis Candusso 1,3,* , Fabien Harel 1,3 , Daniel.jpowsour.2010.08.029 #12;2 Abstract In the area of fuel cell research, most of the experimental techniques

  16. T ID CODE I

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby Dietrich5 | NUMBER 1 | MARCHT ID CODE I

  17. Thermal codes benchmarking: HEATING6 results

    SciTech Connect (OSTI)

    Bryan, C.B.; Childs, K.W.

    1985-08-01T23:59:59.000Z

    The Oak Ridge National Laboratory, in support of Sandia National Laboratories Transportation Technology Center, has developed solutions to four model test problems which serve as comparison benchmarks for thermal computer codes currently being used in the design and analysis of nuclear fuel shipping casks. These problems include steady-state and transient simulations; conductive, convective, and radiative heat transfer mechanisms; internal heat sources; multiple materials; and one- and two-dimensional geometries. Solutions to these model thermal problems produced by an enhanced version of HEATING6 are presented in this report. 4 refs., 19 figs., 14 tabs.

  18. Development of PTO-Sim: A Power Performance Module for the Open-Source Wave Energy Converter Code WEC-Sim

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign: Potential Application toDevelopingandDevelopment ofNovel

  19. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Definition E85 is a fuel blend nominally consisting of 85% ethanol and 15% gasoline by volume that meets ASTM specification D5798. (Reference Indiana Code 6-6-1.1-103...

  20. ,"U.S. Adjusted Sales of Distillate Fuel Oil by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillate Fuel Oil by End

  1. ,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice SoldPlantGrossDistillate Fuel Oil by

  2. "Table 11. Fuel Economy, Selected Survey Years (Miles Per Gallon)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit:1996.......... 2.4Origin7,1,195,"AlabamaFuel

  3. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    on the Massachusetts Turnpike without requiring the provider to offer alternative fuel. Alternative fuel is defined as an energy source that is used to power a vehicle and is not...

  4. Modeling the Nuclear Fuel Cycle

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Mary Lou Dunzik-Gougar; Christopher A. Juchau

    2010-08-01T23:59:59.000Z

    A review of existing nuclear fuel cycle systems analysis codes was performed to determine if any existing codes meet technical and functional requirements defined for a U.S. national program supporting the global and domestic assessment, development and deployment of nuclear energy systems. The program would be implemented using an interconnected architecture of different codes ranging from the fuel cycle analysis code, which is the subject of the review, to fundamental physical and mechanistic codes. Four main functions are defined for the code: (1) the ability to characterize and deploy individual fuel cycle facilities and reactors in a simulation, while discretely tracking material movements, (2) the capability to perform an uncertainty analysis for each element of the fuel cycle and an aggregate uncertainty analysis, (3) the inclusion of an optimization engine able to optimize simultaneously across multiple objective functions, and (4) open and accessible code software and documentation to aid in collaboration between multiple entities and facilitate software updates. Existing codes, categorized as annualized or discrete fuel tracking codes, were assessed according to the four functions and associated requirements. These codes were developed by various government, education and industrial entities to fulfill particular needs. In some cases, decisions were made during code development to limit the level of detail included in a code to ease its use or to focus on certain aspects of a fuel cycle to address specific questions. The review revealed that while no two of the codes are identical, they all perform many of the same basic functions. No code was able to perform defined function 2 or several requirements of functions 1 and 3. Based on this review, it was concluded that the functions and requirements will be met only with development of a new code, referred to as GENIUS.

  5. Miniature ceramic fuel cell

    DOE Patents [OSTI]

    Lessing, Paul A. (Idaho Falls, ID); Zuppero, Anthony C. (Idaho Falls, ID)

    1997-06-24T23:59:59.000Z

    A miniature power source assembly capable of providing portable electricity is provided. A preferred embodiment of the power source assembly employing a fuel tank, fuel pump and control, air pump, heat management system, power chamber, power conditioning and power storage. The power chamber utilizes a ceramic fuel cell to produce the electricity. Incoming hydro carbon fuel is automatically reformed within the power chamber. Electrochemical combustion of hydrogen then produces electricity.

  6. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    station. Alternative fuels are defined as combustible liquids derived from grain starch, oil seed, animal fat, or other biomass, or produced from a biogas source. Excess credits...

  7. Code constructions and code families for nonbinary quantum stabilizer code

    E-Print Network [OSTI]

    Ketkar, Avanti Ulhas

    2005-11-01T23:59:59.000Z

    Stabilizer codes form a special class of quantum error correcting codes. Nonbinary quantum stabilizer codes are studied in this thesis. A lot of work on binary quantum stabilizer codes has been done. Nonbinary stabilizer codes have received much...

  8. Journal of Power Sources 153 (2006) 6875 Numerical study of a flat-tube high power density solid oxide fuel cell

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    power density (HPD) solid oxide fuel cell (SOFC) is a geometry based on a tubular type SOFC: Flat-tube; High power density (HPD); Solid oxide fuel cell (SOFC); Simulation; Performance; Optimization 1. Introduction A solid oxide fuel cell (SOFC), like any other fuel cell, produces electrical

  9. 1 | Fuel Cell Technologies Program Source: US DOE 8/5/2011 eere.energy.gov 5th International Conference on Polymer

    E-Print Network [OSTI]

    cell vehicles ~ 20 active fuel cell buses ~ 60 fueling stations In the U.S., there are currently: ~9, Auxiliary Power, and Specialty Vehicles Fuel cells can be a cost-competitive option for critical of understanding supporting fuel cell vehicles in anticipation of widespread commercialization, beginning in 2015

  10. Holographic codes

    E-Print Network [OSTI]

    Latorre, Jose I

    2015-01-01T23:59:59.000Z

    There exists a remarkable four-qutrit state that carries absolute maximal entanglement in all its partitions. Employing this state, we construct a tensor network that delivers a holographic many body state, the H-code, where the physical properties of the boundary determine those of the bulk. This H-code is made of an even superposition of states whose relative Hamming distances are exponentially large with the size of the boundary. This property makes H-codes natural states for a quantum memory. H-codes exist on tori of definite sizes and get classified in three different sectors characterized by the sum of their qutrits on cycles wrapped through the boundaries of the system. We construct a parent Hamiltonian for the H-code which is highly non local and finally we compute the topological entanglement entropy of the H-code.

  11. Holographic codes

    E-Print Network [OSTI]

    Jose I. Latorre; German Sierra

    2015-02-23T23:59:59.000Z

    There exists a remarkable four-qutrit state that carries absolute maximal entanglement in all its partitions. Employing this state, we construct a tensor network that delivers a holographic many body state, the H-code, where the physical properties of the boundary determine those of the bulk. This H-code is made of an even superposition of states whose relative Hamming distances are exponentially large with the size of the boundary. This property makes H-codes natural states for a quantum memory. H-codes exist on tori of definite sizes and get classified in three different sectors characterized by the sum of their qutrits on cycles wrapped through the boundaries of the system. We construct a parent Hamiltonian for the H-code which is highly non local and finally we compute the topological entanglement entropy of the H-code.

  12. Network Code Design from Unequal Error Protection Coding: Channel-Aware Receiver Design and Diversity Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Network Code Design from Unequal Error Protection Coding: Channel-Aware Receiver Design.iezzi, fabio.graziosi}@univaq.it Abstract-- In this paper, we propose Unequal Error Protection (UEP) coding theory as a viable and flexible method for the design of network codes for multi­source multi­relay

  13. Cermet fuel thermal conductivity 

    E-Print Network [OSTI]

    Alvis, John Mark

    1988-01-01T23:59:59.000Z

    particles of low conductivity dispersed in a metal matrix of high conductivity. A computer code was developed in order to compute the conductivity of cermet fuels as predicted by existing models and an additional model derived in this work... gas release from the fuel particle and contact resistance at the fuel-matrix interface. A description of the methodology used to construct the model is given in Chapter 3. Comparisons between the analytic predictions and the experimental data...

  14. Miniature fuel-cell system complete with on-demand fuel and oxidant supply

    E-Print Network [OSTI]

    Hur, JI; Kim, C-J

    2015-01-01T23:59:59.000Z

    scale direct methanol fuel cell development,” Energy, vol.flow-based microfluidic fuel cell," J. Am. Chem. Soc. , vol.electrolyte membrane fuel cell design," J. Power Sources,

  15. Journal of Power Sources 140 (2005) 331339 Numerical study of a flat-tube high power density solid oxide fuel cell

    E-Print Network [OSTI]

    2005-01-01T23:59:59.000Z

    ) solid oxide fuel cell (SOFC) is a new design developed by Siemens Westinghouse, based on their formerly.V. All rights reserved. Keywords: Flat-tube; High power density; Solid oxide fuel cell; Simulation; Heat oxide fuel cell Part I. Heat/mass transfer and fluid flow Yixin Lu1, Laura Schaefer, Peiwen Li2

  16. National Agenda for Hydrogen Codes and Standards

    SciTech Connect (OSTI)

    Blake, C.

    2010-05-01T23:59:59.000Z

    This paper provides an overview of hydrogen codes and standards with an emphasis on the national effort supported and managed by the U.S. Department of Energy (DOE). With the help and cooperation of standards and model code development organizations, industry, and other interested parties, DOE has established a coordinated national agenda for hydrogen and fuel cell codes and standards. With the adoption of the Research, Development, and Demonstration Roadmap and with its implementation through the Codes and Standards Technical Team, DOE helps strengthen the scientific basis for requirements incorporated in codes and standards that, in turn, will facilitate international market receptivity for hydrogen and fuel cell technologies.

  17. Layered Wyner-Ziv video coding: a new approach to video compression and delivery

    E-Print Network [OSTI]

    Xu, Qian

    2009-05-15T23:59:59.000Z

    Following recent theoretical works on successive Wyner-Ziv coding, we propose a practical layered Wyner-Ziv video coder using the DCT, nested scalar quantiza- tion, and irregular LDPC code based Slepian-Wolf coding (or lossless source coding...

  18. ,"U.S. Total Sales of Residual Fuel Oil by End Use"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant StocksPetroleum ProductSales

  19. Modification to ORIGEN2 for generating N Reactor source terms. Volume 1

    SciTech Connect (OSTI)

    Schwarz, R.A.

    1997-04-01T23:59:59.000Z

    This report discusses work that has been done to upgrade the ORIGEN2 code cross sections to be compatible with the WIMS computer code data. Because of the changes in the ORIGEN2 calculations. Details on changes made to the ORIGEN2 computer code and the Radnuc code will be discussed along with additional work that should be done in the future to upgrade both ORIGEN2 and Radnuc. A detailed historical description of how source terms have been generated for N Reactor fuel stored in the K Basins has been generated. The neutron source discussed in this description was generated by the WIMS computer code (Gubbins et al. 1982) because of known shortcomings in the ORIGEN2 (Croff 1980) cross sections. Another document includes a discussion of the ORIGEN2 cross sections.

  20. Building Energy Codes Program (BECP)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavid CohanEnergy Codes

  1. Building Energy Codes Program Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavid CohanEnergy CodesProgram

  2. Technical Assistance: Increasing Code Compliance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| Department ofGeneralWind »Assistance: Increasing Code Compliance

  3. "GREENHOUSE GAS NAME","GREENHOUSE GAS CODE","FORMULA","GWP"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit:1996.......... 2.4Origin7,1,195,"Alabama

  4. High Performance “Reach” Codes

    E-Print Network [OSTI]

    Edelson, J.

    2011-01-01T23:59:59.000Z

    Jim Edelson New Buildings Institute A Growing Role for Codes and Stretch Codes in Utility Programs Clean Air Through Energy Efficiency November 9, 2011 ESL-KT-11-11-39 CATEE 2011, Dallas, Texas, Nov. 7 ? 9, 2011 New Buildings Institute ESL..., Nov. 7 ? 9, 2011 ?31? Flavors of Codes ? Building Codes Construction Codes Energy Codes Stretch or Reach Energy Codes Above-code programs Green or Sustainability Codes Model Codes ?Existing Building? Codes Outcome-Based Codes ESL-KT-11...

  5. CURRICULUM CODE: 611 & 613 MINOR CODE 061 DEGREE CODE: 31

    E-Print Network [OSTI]

    Qiu, Weigang

    CURRICULUM CODE: 611 & 613 MINOR CODE 061 DEGREE CODE: 31 DAAF 12/09 Hunter College of the City Stamp THIS AUDIT IS NOT OFFICIAL UNTIL APPROVED BY THE OFFICE OF THE REGISTRAR DEGREE AUDIT UNIT Student Specialization Section #12;CURRICULUM CODE: 611 & 613 MINOR CODE 061 DEGREE CODE: 31 DAAF 12/09 *****A SEPARATE

  6. CURRICULUM CODE_611 & 613 MINOR CODE 062 DEGREE CODE _31_

    E-Print Network [OSTI]

    Qiu, Weigang

    CURRICULUM CODE_611 & 613 MINOR CODE 062 DEGREE CODE _31_ 1/24/2006 Hunter College of the City-mail address Department Stamp THIS AUDIT IS NOT OFFICIAL UNTIL APPROVED BY THE OFFICE OF THE REGISTRAR, DEGREE Section Only For January 2010 Graduate #12;CURRICULUM CODE_611 & 613 MINOR CODE 062 DEGREE CODE _31_ 1

  7. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

    Ott, Larry J [ORNL; Tverberg, Terje [OECD Halden Reactor Project; Sartori, Enrico [ORNL

    2009-01-01T23:59:59.000Z

    Within the framework of the OECD/NEA Expert Group on Reactor-based Plutonium disposition (TFRPD), a fuel modeling code benchmarks for MOX fuel was initiated. This paper summarizes the calculation results provided by the contributors for the first two fuel performance benchmark problems. A limited sensitivity study of the effect of the rod power uncertainty on code predictions of fuel centerline temperature and fuel pin pressure also was performed and is included in the paper.

  8. Occupation Codes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in ManyDepartment of Order No.ofUseIowaWeatherization FundingObserving

  9. Emissions Benefits From Renewable Fuels and Other Alternatives for Heavy-Duty Vehicles

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    transport fuel use come from renewable sources (including biofuels).transport fuel use to come from renewable sources (including biofuels).

  10. Direct hydrocarbon fuel cells

    DOE Patents [OSTI]

    Barnett, Scott A.; Lai, Tammy; Liu, Jiang

    2010-05-04T23:59:59.000Z

    The direct electrochemical oxidation of hydrocarbons in solid oxide fuel cells, to generate greater power densities at lower temperatures without carbon deposition. The performance obtained is comparable to that of fuel cells used for hydrogen, and is achieved by using novel anode composites at low operating temperatures. Such solid oxide fuel cells, regardless of fuel source or operation, can be configured advantageously using the structural geometries of this invention.

  11. Confocal coded aperture imaging

    DOE Patents [OSTI]

    Tobin, Jr., Kenneth William (Harriman, TN); Thomas, Jr., Clarence E. (Knoxville, TN)

    2001-01-01T23:59:59.000Z

    A method for imaging a target volume comprises the steps of: radiating a small bandwidth of energy toward the target volume; focusing the small bandwidth of energy into a beam; moving the target volume through a plurality of positions within the focused beam; collecting a beam of energy scattered from the target volume with a non-diffractive confocal coded aperture; generating a shadow image of said aperture from every point source of radiation in the target volume; and, reconstructing the shadow image into a 3-dimensional image of the every point source by mathematically correlating the shadow image with a digital or analog version of the coded aperture. The method can comprise the step of collecting the beam of energy scattered from the target volume with a Fresnel zone plate.

  12. Fossil fuels -- future fuels

    SciTech Connect (OSTI)

    NONE

    1998-03-01T23:59:59.000Z

    Fossil fuels -- coal, oil, and natural gas -- built America`s historic economic strength. Today, coal supplies more than 55% of the electricity, oil more than 97% of the transportation needs, and natural gas 24% of the primary energy used in the US. Even taking into account increased use of renewable fuels and vastly improved powerplant efficiencies, 90% of national energy needs will still be met by fossil fuels in 2020. If advanced technologies that boost efficiency and environmental performance can be successfully developed and deployed, the US can continue to depend upon its rich resources of fossil fuels.

  13. Speech coding

    SciTech Connect (OSTI)

    Ravishankar, C., Hughes Network Systems, Germantown, MD

    1998-05-08T23:59:59.000Z

    Speech is the predominant means of communication between human beings and since the invention of the telephone by Alexander Graham Bell in 1876, speech services have remained to be the core service in almost all telecommunication systems. Original analog methods of telephony had the disadvantage of speech signal getting corrupted by noise, cross-talk and distortion Long haul transmissions which use repeaters to compensate for the loss in signal strength on transmission links also increase the associated noise and distortion. On the other hand digital transmission is relatively immune to noise, cross-talk and distortion primarily because of the capability to faithfully regenerate digital signal at each repeater purely based on a binary decision. Hence end-to-end performance of the digital link essentially becomes independent of the length and operating frequency bands of the link Hence from a transmission point of view digital transmission has been the preferred approach due to its higher immunity to noise. The need to carry digital speech became extremely important from a service provision point of view as well. Modem requirements have introduced the need for robust, flexible and secure services that can carry a multitude of signal types (such as voice, data and video) without a fundamental change in infrastructure. Such a requirement could not have been easily met without the advent of digital transmission systems, thereby requiring speech to be coded digitally. The term Speech Coding is often referred to techniques that represent or code speech signals either directly as a waveform or as a set of parameters by analyzing the speech signal. In either case, the codes are transmitted to the distant end where speech is reconstructed or synthesized using the received set of codes. A more generic term that is applicable to these techniques that is often interchangeably used with speech coding is the term voice coding. This term is more generic in the sense that the coding techniques are equally applicable to any voice signal whether or not it carries any intelligible information, as the term speech implies. Other terms that are commonly used are speech compression and voice compression since the fundamental idea behind speech coding is to reduce (compress) the transmission rate (or equivalently the bandwidth) And/or reduce storage requirements In this document the terms speech and voice shall be used interchangeably.

  14. GENII Code | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2: FinalOffers3.pdf0-45.pdf0 Budget Fossil EnergyFull Text ManagementDOEGEGEAGENII Code

  15. ALOHA Code | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA Training forCentral Registry Toolbox Code

  16. Nuclear fuel recycling in 4 minutes | Argonne National Laboratory

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

    Nuclear fuel recycling in 4 minutes Share Topic Energy Energy sources Nuclear energy Nuclear fuel cycle Reactors...

  17. Optimum Performance of Direct Hydrogen Hybrid Fuel Cell Vehicles

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2009-01-01T23:59:59.000Z

    of an experimental fuel cell/supercapacitor-powered hybridof fuel cell/battery/supercapacitor hybrid power source for

  18. Safety, codes and standards for hydrogen installations :

    SciTech Connect (OSTI)

    Harris, Aaron P.; Dedrick, Daniel E.; LaFleur, Angela Christine; San Marchi, Christopher W.

    2014-04-01T23:59:59.000Z

    Automakers and fuel providers have made public commitments to commercialize light duty fuel cell electric vehicles and fueling infrastructure in select US regions beginning in 2014. The development, implementation, and advancement of meaningful codes and standards is critical to enable the effective deployment of clean and efficient fuel cell and hydrogen solutions in the energy technology marketplace. Metrics pertaining to the development and implementation of safety knowledge, codes, and standards are important to communicate progress and inform future R&D investments. This document describes the development and benchmarking of metrics specific to the development of hydrogen specific codes relevant for hydrogen refueling stations. These metrics will be most useful as the hydrogen fuel market transitions from pre-commercial to early-commercial phases. The target regions in California will serve as benchmarking case studies to quantify the success of past investments in research and development supporting safety codes and standards R&D.

  19. Fuel cycle analysis in a thorium fueled reactor using bidirectional fuel movement : correction to report MIT-2073-1, MITNE-51

    E-Print Network [OSTI]

    Stephen, James D.

    1965-01-01T23:59:59.000Z

    This report corrects an error discovered in the code used in the study "Fuel Cycle Analysis in a Thorium Fueled Reactor Using Bidirectional Fuel Movement," MIT-2073-1, MITNE-51. The results of the correction show considerable ...

  20. Alternative Fuels Data Center

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    or lower price as unblended gasoline. Premium gasoline is exempt from this requirement. Ethanol is defined as fuel that is derived from an agricultural source and that meets ASTM...

  1. Fuel Cells

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

    Fuel Cells Converting chemical energy of hydrogenated fuels into electricity Project Description Invented in 1839, fuels cells powered the Gemini and Apollo space missions, as well...

  2. Byzantine Modification Detection in Multicast Networks with Random Network Coding

    E-Print Network [OSTI]

    Médard, Muriel

    network coding. Each exogenous source packet is augmented with a flexible number of hash symbols of the random network code, and can have the same (or greater) transmission capacity compared to the sourceByzantine Modification Detection in Multicast Networks with Random Network Coding Tracey Ho, Ben

  3. 2009 Fuel Cell Market Report

    Fuel Cell Technologies Publication and Product Library (EERE)

    Fuel cells are electrochemical devices that combine hydrogen and oxygen to produce electricity, water, and heat. Unlike batteries, fuel cells continuously generate electricity, as long as a source of

  4. MELCOR computer code manuals

    SciTech Connect (OSTI)

    Summers, R.M.; Cole, R.K. Jr.; Smith, R.C.; Stuart, D.S.; Thompson, S.L. [Sandia National Labs., Albuquerque, NM (United States); Hodge, S.A.; Hyman, C.R.; Sanders, R.L. [Oak Ridge National Lab., TN (United States)

    1995-03-01T23:59:59.000Z

    MELCOR is a fully integrated, engineering-level computer code that models the progression of severe accidents in light water reactor nuclear power plants. MELCOR is being developed at Sandia National Laboratories for the U.S. Nuclear Regulatory Commission as a second-generation plant risk assessment tool and the successor to the Source Term Code Package. A broad spectrum of severe accident phenomena in both boiling and pressurized water reactors is treated in MELCOR in a unified framework. These include: thermal-hydraulic response in the reactor coolant system, reactor cavity, containment, and confinement buildings; core heatup, degradation, and relocation; core-concrete attack; hydrogen production, transport, and combustion; fission product release and transport; and the impact of engineered safety features on thermal-hydraulic and radionuclide behavior. Current uses of MELCOR include estimation of severe accident source terms and their sensitivities and uncertainties in a variety of applications. This publication of the MELCOR computer code manuals corresponds to MELCOR 1.8.3, released to users in August, 1994. Volume 1 contains a primer that describes MELCOR`s phenomenological scope, organization (by package), and documentation. The remainder of Volume 1 contains the MELCOR Users Guides, which provide the input instructions and guidelines for each package. Volume 2 contains the MELCOR Reference Manuals, which describe the phenomenological models that have been implemented in each package.

  5. Fuel cell generator with fuel electrodes that control on-cell fuel reformation

    DOE Patents [OSTI]

    Ruka, Roswell J. (Pittsburgh, PA); Basel, Richard A. (Pittsburgh, PA); Zhang, Gong (Murrysville, PA)

    2011-10-25T23:59:59.000Z

    A fuel cell for a fuel cell generator including a housing including a gas flow path for receiving a fuel from a fuel source and directing the fuel across the fuel cell. The fuel cell includes an elongate member including opposing first and second ends and defining an interior cathode portion and an exterior anode portion. The interior cathode portion includes an electrode in contact with an oxidant flow path. The exterior anode portion includes an electrode in contact with the fuel in the gas flow path. The anode portion includes a catalyst material for effecting fuel reformation along the fuel cell between the opposing ends. A fuel reformation control layer is applied over the catalyst material for reducing a rate of fuel reformation on the fuel cell. The control layer effects a variable reformation rate along the length of the fuel cell.

  6. TRIGA MARK-II source term

    SciTech Connect (OSTI)

    Usang, M. D., E-mail: mark-dennis@nuclearmalaysia.gov.my; Hamzah, N. S., E-mail: mark-dennis@nuclearmalaysia.gov.my; Abi, M. J. B., E-mail: mark-dennis@nuclearmalaysia.gov.my; Rawi, M. Z. M. Rawi, E-mail: mark-dennis@nuclearmalaysia.gov.my; Abu, M. P., E-mail: mark-dennis@nuclearmalaysia.gov.my [Bahagian Teknologi Reaktor, Agensi Nuklear Malaysia, 43000 Kajang (Malaysia)

    2014-02-12T23:59:59.000Z

    ORIGEN 2.2 are employed to obtain data regarding ? source term and the radio-activity of irradiated TRIGA fuel. The fuel composition are specified in grams for use as input data. Three types of fuel are irradiated in the reactor, each differs from the other in terms of the amount of Uranium compared to the total weight. Each fuel are irradiated for 365 days with 50 days time step. We obtain results on the total radioactivity of the fuel, the composition of activated materials, composition of fission products and the photon spectrum of the burned fuel. We investigate the differences of results using BWR and PWR library for ORIGEN. Finally, we compare the composition of major nuclides after 1 year irradiation of both ORIGEN library with results from WIMS. We found only minor disagreements between the yields of PWR and BWR libraries. In comparison with WIMS, the errors are a little bit more pronounced. To overcome this errors, the irradiation power used in ORIGEN could be increased a little, so that the differences in the yield of ORIGEN and WIMS could be reduced. A more permanent solution is to use a different code altogether to simulate burnup such as DRAGON and ORIGEN-S. The result of this study are essential for the design of radiation shielding from the fuel.

  7. LFSC - Linac Feedback Simulation Code

    SciTech Connect (OSTI)

    Ivanov, Valentin; /Fermilab

    2008-05-01T23:59:59.000Z

    The computer program LFSC (Code>) is a numerical tool for simulation beam based feedback in high performance linacs. The code LFSC is based on the earlier version developed by a collective of authors at SLAC (L.Hendrickson, R. McEwen, T. Himel, H. Shoaee, S. Shah, P. Emma, P. Schultz) during 1990-2005. That code was successively used in simulation of SLC, TESLA, CLIC and NLC projects. It can simulate as pulse-to-pulse feedback on timescale corresponding to 5-100 Hz, as slower feedbacks, operating in the 0.1-1 Hz range in the Main Linac and Beam Delivery System. The code LFSC is running under Matlab for MS Windows operating system. It contains about 30,000 lines of source code in more than 260 subroutines. The code uses the LIAR ('Linear Accelerator Research code') for particle tracking under ground motion and technical noise perturbations. It uses the Guinea Pig code to simulate the luminosity performance. A set of input files includes the lattice description (XSIF format), and plane text files with numerical parameters, wake fields, ground motion data etc. The Matlab environment provides a flexible system for graphical output.

  8. Analysis of Experimental Data for High Burnup PWR Spent Fuel Isotopic Validation - Vandellos II Reactor

    SciTech Connect (OSTI)

    Ilas, Germina [ORNL; Gauld, Ian C [ORNL

    2011-01-01T23:59:59.000Z

    This report is one of the several recent NUREG/CR reports documenting benchmark-quality radiochemical assay data and the use of the data to validate computer code predictions of isotopic composition for spent nuclear fuel, to establish the uncertainty and bias associated with code predictions. The experimental data analyzed in the current report were acquired from a high-burnup fuel program coordinated by Spanish organizations. The measurements included extensive actinide and fission product data of importance to spent fuel safety applications, including burnup credit, decay heat, and radiation source terms. Six unique spent fuel samples from three uranium oxide fuel rods were analyzed. The fuel rods had a 4.5 wt % {sup 235}U initial enrichment and were irradiated in the Vandellos II pressurized water reactor operated in Spain. The burnups of the fuel samples range from 42 to 78 GWd/MTU. The measurements were used to validate the two-dimensional depletion sequence TRITON in the SCALE computer code system.

  9. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Bureau of Construction Codes is responsible for the administration of the State Construction Code Act (1972 PA 230), also known as the Uniform Construction Code.

  10. Module 9: Acts, Codes, Regulations and Guidelines

    Broader source: Energy.gov [DOE]

    This course covers the mandating of alternative fuel vehicles in the US, the codes, regulations, and guidelines concerning the use of hydrogen, where to look for additional information on hydrogen standards

  11. 1 | Fuel Cell Technologies Program Source: US DOE 2/3/2014 eere.energy.gov Nancy L. Garland, Ph.D.

    E-Print Network [OSTI]

    in manufacturing clean energy products. ·Investment in clean energy has grown nearly fivefold in recent years from $54B in 2004 to $269B in 2012. Trillions will be invested in the decades to come. The clean energy Source: US DOE 2/3/2014 eere.energy.gov Clean Energy Patents Reflect Emerging Growth Clean Energy Patent

  12. [Searching for Commodity Codes] February 13, 2012

    E-Print Network [OSTI]

    Sheremet, Alexandru

    the search... link to begin searching for a Commodity Code Search Tips Enter a broad term in the Description Another example, for "gasoline" enter "fuel" ­ think in general terms o For this term, only two Commodity[Searching for Commodity Codes] February 13, 2012 © Office of Human Resource Services, University

  13. TRAC Code Modifications Made for APT Blanket Safety Analyses

    SciTech Connect (OSTI)

    Hamm, L.L.

    1998-10-07T23:59:59.000Z

    This report provides documentation of the necessary source code modifications made to the TRAC-PF1/MOD2 code version 5.4.28a developed at Los Alamos National Laboratory.

  14. Description of TASHA: Thermal Analysis of Steady-State-Heat Transfer for the Advanced Neutron Source Reactor

    SciTech Connect (OSTI)

    Morris, D.G.; Chen, N.C.; Nelson, W.R.; Yoder, G.L.

    1996-10-01T23:59:59.000Z

    This document describes the code used to perform Thermal Analysis of Steady-State-Heat-Transfer for the Advanced Neutron Source (ANS) Reactor (TASHA). More specifically, the code is designed for thermal analysis of the fuel elements. The new code reflects changes to the High Flux Isotope Reactor steady-state thermal-hydraulics code. These changes were aimed at both improving the code`s predictive ability and allowing statistical thermal-hydraulic uncertainty analysis to be performed. A significant portion of the changes were aimed at improving the correlation package in the code. This involved incorporating more recent correlations for both single-phase flow and two-phase flow thermal limits, including the addition of correlations to predict the phenomenon of flow excursion. Since the code was to be used in the design of the ANS, changes were made to allow the code to predict limiting powers for a variety of thermal limits, including critical heat flux, flow excursion, incipient boiling, oxide spallation, maximum centerline temperature, and surface temperature equal to the saturation temperature. Statistical uncertainty analysis also required several changes to the code itself as well as changes to the code input format. This report describes these changes in enough detail to allow the reader to interpret code results and also to understand where the changes were made in the code programming. This report is not intended to be a stand alone report for running the code, however, and should be used in concert with the two previous reports published on the original code. Sample input and output files are also included to help accomplish these goals. In addition, a section is included that describes requirements for a new, more modem code that the project planned to develop.

  15. Fuel for Galaxy Disks

    E-Print Network [OSTI]

    M. E. Putman; J. Grcevich; J. E. G. Peek

    2008-04-04T23:59:59.000Z

    Halo clouds have been found about the three largest galaxies of the Local Group and in the halos of nearby spirals. This suggests they are a relatively generic feature of the galaxy evolution process and a source of fuel for galaxy disks. In this review, two main sources of disk star formation fuel, satellite material and clouds condensing from the hot halo medium, are discussed and their contribution to fueling the Galaxy quantified. The origin of the halo gas of M31 and M33 is also discussed.

  16. Generalized concatenated quantum codes

    E-Print Network [OSTI]

    Grassl, Markus

    We discuss the concept of generalized concatenated quantum codes. This generalized concatenation method provides a systematical way for constructing good quantum codes, both stabilizer codes and nonadditive codes. Using ...

  17. Fuel Cell Powered Vehicles Using Supercapacitors: Device Characteristics, Control Strategies, and Simulation Results

    E-Print Network [OSTI]

    Zhao, Hengbing; Burke, Andy

    2010-01-01T23:59:59.000Z

    of fuel cell/battery/supercapacitor hybrid power source for479 7. Soonil Jeon, Hyundai Supercapacitor Fuel Cell Hybridtechnology, fuel cell/supercapacitor hybrid fuel cell

  18. Iterative Channel Decoding of FEC-Based Multiple-Description Codes

    E-Print Network [OSTI]

    Chang, Seok-Ho; Cosman, P. C; Milstein, L. B

    2012-01-01T23:59:59.000Z

    k ) source channel erasure codes,” IEEE Trans. Inf. Theory,FEC-BASED MULTIPLE-DESCRIPTION CODES [8] S. S. Pradhan, R.forward error correction codes,” in Proc. 33rd Asilomar

  19. Concatenated Conjugate Codes

    E-Print Network [OSTI]

    Mitsuru Hamada

    2006-10-31T23:59:59.000Z

    A conjugate code pair is defined as a pair of linear codes either of which contains the dual of the other. A conjugate code pair represents the essential structure of the corresponding Calderbank-Shor-Steane (CSS) quantum code. It is known that conjugate code pairs are applicable to (quantum) cryptography. We give a construction method for efficiently decodable conjugate code pairs.

  20. CURRICULUM CODE 308 DEGREE CODE _40

    E-Print Network [OSTI]

    Qiu, Weigang

    CURRICULUM CODE 308 DEGREE CODE _40 Hunter College of the City University of New York - Office Print) E-mail address OES Stamp THIS AUDIT IS NOT OFFICIAL UNTIL APPROVED BY THE OFFICE OF THE REGISTRAR Specialization Section #12;CURRICULUM CODE_308_ DEGREE CODE _40__ Course Prefix & Number Course Title Credits

  1. Minimally refined biomass fuel

    DOE Patents [OSTI]

    Pearson, Richard K. (Pleasanton, CA); Hirschfeld, Tomas B. (Livermore, CA)

    1984-01-01T23:59:59.000Z

    A minimally refined fluid composition, suitable as a fuel mixture and derived from biomass material, is comprised of one or more water-soluble carbohydrates such as sucrose, one or more alcohols having less than four carbons, and water. The carbohydrate provides the fuel source; water solubilizes the carbohydrates; and the alcohol aids in the combustion of the carbohydrate and reduces the vicosity of the carbohydrate/water solution. Because less energy is required to obtain the carbohydrate from the raw biomass than alcohol, an overall energy savings is realized compared to fuels employing alcohol as the primary fuel.

  2. Unequal error protection of subband coded bits

    E-Print Network [OSTI]

    Devalla, Badarinath

    1994-01-01T23:59:59.000Z

    Source coded data can be separated into different classes based on their susceptibility to channel errors. Errors in the Important bits cause greater distortion in the reconstructed signal. This thesis presents an Unequal Error Protection scheme...

  3. Fuel pin

    DOE Patents [OSTI]

    Christiansen, David W. (Kennewick, WA); Karnesky, Richard A. (Richland, WA); Leggett, Robert D. (Richland, WA); Baker, Ronald B. (Richland, WA)

    1989-01-01T23:59:59.000Z

    A fuel pin for a liquid metal nuclear reactor is provided. The fuel pin includes a generally cylindrical cladding member with metallic fuel material disposed therein. At least a portion of the fuel material extends radially outwardly to the inner diameter of the cladding member to promote efficient transfer of heat to the reactor coolant system. The fuel material defines at least one void space therein to facilitate swelling of the fuel material during fission.

  4. Fuel pin

    DOE Patents [OSTI]

    Christiansen, D.W.; Karnesky, R.A.; Leggett, R.D.; Baker, R.B.

    1987-11-24T23:59:59.000Z

    A fuel pin for a liquid metal nuclear reactor is provided. The fuel pin includes a generally cylindrical cladding member with metallic fuel material disposed therein. At least a portion of the fuel material extends radially outwardly to the inner diameter of the cladding member to promote efficient transfer of heat to the reactor coolant system. The fuel material defines at least one void space therein to facilitate swelling of the fuel material during fission.

  5. Final Technical Report for SBIR entitled Four-Dimensional Finite-Orbit-Width Fokker-Planck Code with Sources, for Neoclassical/Anomalous Transport Simulation of Ion and Electron Distributions

    SciTech Connect (OSTI)

    Harvey, R. W. [CompX; Petrov, Yu. V. [CompX

    2013-12-03T23:59:59.000Z

    Within the US Department of Energy/Office of Fusion Energy magnetic fusion research program, there is an important whole-plasma-modeling need for a radio-frequency/neutral-beam-injection (RF/NBI) transport-oriented finite-difference Fokker-Planck (FP) code with combined capabilities for 4D (2R2V) geometry near the fusion plasma periphery, and computationally less demanding 3D (1R2V) bounce-averaged capabilities for plasma in the core of fusion devices. Demonstration of proof-of-principle achievement of this goal has been carried out in research carried out under Phase I of the SBIR award. Two DOE-sponsored codes, the CQL3D bounce-average Fokker-Planck code in which CompX has specialized, and the COGENT 4D, plasma edge-oriented Fokker-Planck code which has been constructed by Lawrence Livermore National Laboratory and Lawrence Berkeley Laboratory scientists, where coupled. Coupling was achieved by using CQL3D calculated velocity distributions including an energetic tail resulting from NBI, as boundary conditions for the COGENT code over the two-dimensional velocity space on a spatial interface (flux) surface at a given radius near the plasma periphery. The finite-orbit-width fast ions from the CQL3D distributions penetrated into the peripheral plasma modeled by the COGENT code. This combined code demonstrates the feasibility of the proposed 3D/4D code. By combining these codes, the greatest computational efficiency is achieved subject to present modeling needs in toroidally symmetric magnetic fusion devices. The more efficient 3D code can be used in its regions of applicability, coupled to the more computationally demanding 4D code in higher collisionality edge plasma regions where that extended capability is necessary for accurate representation of the plasma. More efficient code leads to greater use and utility of the model. An ancillary aim of the project is to make the combined 3D/4D code user friendly. Achievement of full-coupling of these two Fokker-Planck codes will advance computational modeling of plasma devices important to the USDOE magnetic fusion energy program, in particular the DIII-D tokamak at General Atomics, San Diego, the NSTX spherical tokamak at Princeton, New Jersey, and the MST reversed-field-pinch Madison, Wisconsin. The validation studies of the code against the experiments will improve understanding of physics important for magnetic fusion, and will increase our design capabilities for achieving the goals of the International Tokamak Experimental Reactor (ITER) project in which the US is a participant and which seeks to demonstrate at least a factor of five in fusion power production divided by input power.

  6. Light-Source Facilities

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |Is Your HomeLatestCenter (LMI-EFRC) - EliCenterCenterCenterSafety

  7. Homological stabilizer codes

    SciTech Connect (OSTI)

    Anderson, Jonas T., E-mail: jonastyleranderson@gmail.com

    2013-03-15T23:59:59.000Z

    In this paper we define homological stabilizer codes on qubits which encompass codes such as Kitaev's toric code and the topological color codes. These codes are defined solely by the graphs they reside on. This feature allows us to use properties of topological graph theory to determine the graphs which are suitable as homological stabilizer codes. We then show that all toric codes are equivalent to homological stabilizer codes on 4-valent graphs. We show that the topological color codes and toric codes correspond to two distinct classes of graphs. We define the notion of label set equivalencies and show that under a small set of constraints the only homological stabilizer codes without local logical operators are equivalent to Kitaev's toric code or to the topological color codes. - Highlights: Black-Right-Pointing-Pointer We show that Kitaev's toric codes are equivalent to homological stabilizer codes on 4-valent graphs. Black-Right-Pointing-Pointer We show that toric codes and color codes correspond to homological stabilizer codes on distinct graphs. Black-Right-Pointing-Pointer We find and classify all 2D homological stabilizer codes. Black-Right-Pointing-Pointer We find optimal codes among the homological stabilizer codes.

  8. Comparing and Contrasting Web Services and Open Source

    E-Print Network [OSTI]

    Katz, Jeremy Lee

    2010-01-01T23:59:59.000Z

    Software can either be developed in a way such that the source code is available to others, open source, or such that it is not, closed source. Open source software has a number of architectural advantages over traditionally ...

  9. Fuel Cell Technologies Office Multi-Year Research, Development...

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

    3.7 Hydrogen Safety, Codes and Standards Fuel Cell Technologies Office Multi-Year Research, Development, and Demonstration Plan - Section 3.7 Hydrogen Safety, Codes and Standards...

  10. Half-Product Codes

    E-Print Network [OSTI]

    Emmadi, Santosh Kumar

    2014-12-11T23:59:59.000Z

    A class of codes, half-product codes, derived from product codes, is characterized. These codes have the implementation advantages of product codes and possess a special structural property which leads them to have larger (at least 3/2 times more...

  11. Texas Energy Code Compliance Collaborative

    E-Print Network [OSTI]

    Herbert, C.

    2013-01-01T23:59:59.000Z

    document these practices? What is the role of alternative code compliance programs like EnergyStar? What is the role of third party inspectors? 15 ESL-KT-13-12-29 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec... Conference, San Antonio, Texas Dec. 16-18 7 Source: ACEEE Building Energy Codes Program 2010 ESL-KT-13-12-29 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Residential (Single Family Residences And Duplexes...

  12. Analysis of a Nuclear Accident: Fission and Activation Product Releases from the Fukushima Daiichi Nuclear Facility as Remote Indicators of Source Identification, Extent of Release, and State of Damaged Spent Nuclear Fuel

    SciTech Connect (OSTI)

    Schwantes, Jon M.; Orton, Christopher R.; Clark, Richard A.

    2012-09-10T23:59:59.000Z

    Measurements of several radionuclides within environmental samples taken from the Fukushima Daiichi nuclear facility and reported on the Tokyo Electric Power Company website following the recent tsunami-initiated catastrophe were evaluated for the purpose of identifying the source term, reconstructing the release mechanisms, and estimating the extent of the release. 136Cs/137Cs and 134Cs/137Cs ratios identified Units 1-3 as the major source of radioactive contamination to the surface soil close to the facility. A trend was observed between the fraction of the total core inventory released for a number of fission product isotopes and their corresponding Gibbs Free Energy of formation for the primary oxide form of the isotope, suggesting that release was dictated primarily by chemical volatility driven by temperature and reduction potential within the primary containment vessels of the vented reactors. The absence of any major fractionation beyond volatilization suggested all coolant had evaporated by the time of venting. High estimates for the fraction of the total inventory released of more volatile species (Te, Cs, I) indicated the damage to fuel bundles was likely extensive, minimizing any potential containment due to physical migration of these species through the fuel matrix and across the cladding wall. 238Pu/239,240Pu ratios close-in and at 30 km from the facility indicated that the damaged reactors were the major contributor of Pu to surface soil at the source but that this contribution likely decreased rapidly with distance from the facility. The fraction of the total Pu inventory released to the environment from venting units 1 and 3 was estimated to be ~0.003% based upon Pu/Cs isotope ratios relative to the within-reactor modeled inventory prior to venting and was consistent with an independent model evaluation that considered chemical volatility based upon measured fission product release trends. Significant volatile radionuclides within the spent fuel at the time of venting but not as yet observed and reported within environmental samples are suggested as potential analytes of concern for future environmental surveys around the site.

  13. Building Codes Resources | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartment ofCodes Resources Building

  14. Codes and Standards Activities | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuildingCoal Combustion Products Coal CombustionDOE Activities » Codes

  15. Fuel cell market applications

    SciTech Connect (OSTI)

    Williams, M.C.

    1995-12-31T23:59:59.000Z

    This is a review of the US (and international) fuel cell development for the stationary power generation market. Besides DOE, GRI, and EPRI sponsorship, the US fuel cell program has over 40% cost-sharing from the private sector. Support is provided by user groups with over 75 utility and other end-user members. Objectives are to develop and demonstrate cost-effective fuel cell power generation which can initially be commercialized into various market applications using natural gas fuel by the year 2000. Types of fuel cells being developed include PAFC (phosphoric acid), MCFC (molten carbonate), and SOFC (solid oxide); status of each is reported. Potential international applications are reviewed also. Fuel cells are viewed as a force in dispersed power generation, distributed power, cogeneration, and deregulated industry. Specific fuel cell attributes are discussed: Fuel cells promise to be one of the most reliable power sources; they are now being used in critical uninterruptible power systems. They need hydrogen which can be generated internally from natural gas, coal gas, methanol landfill gas, or other fuels containing hydrocarbons. Finally, fuel cell development and market applications in Japan are reviewed briefly.

  16. List of codes Language abbreviation codes

    E-Print Network [OSTI]

    Portugal MT Malta GR Greece SE Sweden TR Turkey Country codes for the ERASMUS Institutional Identification codes A Austria IR L Ireland BG Bulgaria LV Latvia B Belgium IS Iceland CY Cyprus MT Malta D Germany L

  17. Generalized Concatenation for Quantum Codes

    E-Print Network [OSTI]

    Grassl, Markus

    We show how good quantum error-correcting codes can be constructed using generalized concatenation. The inner codes are quantum codes, the outer codes can be linear or nonlinear classical codes. Many new good codes are ...

  18. Quantum convolutional stabilizer codes

    E-Print Network [OSTI]

    Chinthamani, Neelima

    2004-09-30T23:59:59.000Z

    Quantum error correction codes were introduced as a means to protect quantum information from decoherance and operational errors. Based on their approach to error control, error correcting codes can be divided into two different classes: block codes...

  19. Guam- Building Energy Code

    Broader source: Energy.gov [DOE]

    NOTE: In September 2012, The Guam Building Code Council adopted the draft [http://www.guamenergy.com/outreach-education/guam-tropical-energy-code/ Guam Tropical Energy Code]. It must be adopted by...

  20. Building Energy Code

    Broader source: Energy.gov [DOE]

    In 2009 S.B. 1182 created the Oklahoma Uniform Building Code Commission. The 11-member Commission was given the power to conduct rulemaking processes to adopt new building codes. The codes adopted...

  1. NETL: Solid Oxide Fuel Cells

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLoveReferenceAgenda Workshop AgendaGraphic of aEnergyResearchSolid

  2. Mobile Alternative Fueling Station Locator

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Revised:7,AMission MissionMistakesMo

  3. Codeword Stabilized Quantum Codes

    E-Print Network [OSTI]

    Andrew Cross; Graeme Smith; John A. Smolin; Bei Zeng

    2007-09-27T23:59:59.000Z

    We present a unifying approach to quantum error correcting code design that encompasses additive (stabilizer) codes, as well as all known examples of nonadditive codes with good parameters. We use this framework to generate new codes with superior parameters to any previously known. In particular, we find ((10,18,3)) and ((10,20,3)) codes. We also show how to construct encoding circuits for all codes within our framework.

  4. Generalized Concatenated Quantum Codes

    E-Print Network [OSTI]

    Markus Grassl; Peter Shor; Graeme Smith; John Smolin; Bei Zeng

    2009-01-09T23:59:59.000Z

    We introduce the concept of generalized concatenated quantum codes. This generalized concatenation method provides a systematical way for constructing good quantum codes, both stabilizer codes and nonadditive codes. Using this method, we construct families of new single-error-correcting nonadditive quantum codes, in both binary and nonbinary cases, which not only outperform any stabilizer codes for finite block length, but also asymptotically achieve the quantum Hamming bound for large block length.

  5. Encoding Subsystem Codes

    E-Print Network [OSTI]

    Pradeep Kiran Sarvepalli; Andreas Klappenecker

    2008-06-30T23:59:59.000Z

    In this paper we investigate the encoding of operator quantum error correcting codes i.e. subsystem codes. We show that encoding of subsystem codes can be reduced to encoding of a related stabilizer code making it possible to use all the known results on encoding of stabilizer codes. Along the way we also show how Clifford codes can be encoded. We also show that gauge qubits can be exploited to reduce the encoding complexity.

  6. 2009 Fuel Cell Market Report, November 2010

    SciTech Connect (OSTI)

    Not Available

    2010-11-01T23:59:59.000Z

    Fuel cells are electrochemical devices that combine hydrogen and oxygen to produce electricity, water, and heat. Unlike batteries, fuel cells continuously generate electricity, as long as a source of fuel is supplied. Moreover, fuel cells do not burn fuel, making the process quiet, pollution-free and two to three times more efficient than combustion. Fuel cell systems can be a truly zero-emission source of electricity, if the hydrogen is produced from non-polluting sources. Global concerns about climate change, energy security, and air pollution are driving demand for fuel cell technology. More than 630 companies and laboratories in the United States are investing $1 billion a year in fuel cells or fuel cell component technologies. This report provides an overview of trends in the fuel cell industry and markets, including product shipments, market development, and corporate performance. It also provides snapshots of select fuel cell companies, including general.

  7. On optimal constacyclic codes

    E-Print Network [OSTI]

    Giuliano G. La Guardia

    2013-11-11T23:59:59.000Z

    In this paper we investigate the class of constacyclic codes, which is a natural generalization of the class of cyclic and negacyclic codes. This class of codes is interesting in the sense that it contains codes with good or even optimal parameters. In this light, we propose constructions of families of classical block and convolutional maximum-distance-separable (MDS) constacyclic codes, as well as families of asymmetric quantum MDS codes derived from (classical-block) constacyclic codes. These results are mainly derived from the investigation of suitable properties on cyclotomic cosets of these corresponding codes.

  8. Building Energy Code

    Broader source: Energy.gov [DOE]

    The West Virginia State Fire Commission is responsible for adopting and promulgating statewide construction codes. These codes may be voluntarily adopted at the local level. Local jurisdictions...

  9. Regulatory Perspective on Potential Fuel Reconfiguration and Its Implication to High Burnup Spent Fuel Storage and Transportation - 13042

    SciTech Connect (OSTI)

    Li, Zhian; Rahimi, Meraj; Tang, David; Aissa, Mourad; Flaganan, Michelle [U.S. Nuclear Regulatory Commission - NRC, Washington, DC 20555-0001 (United States)] [U.S. Nuclear Regulatory Commission - NRC, Washington, DC 20555-0001 (United States); Wagner, John C. [Oak Ridge National Laboratory (United States)] [Oak Ridge National Laboratory (United States)

    2013-07-01T23:59:59.000Z

    The recent experiments conducted by Argonne National Laboratory on high burnup fuel cladding material property show that the ductile to brittle transition temperature of high burnup fuel cladding is dependent on: (1) cladding material, (2) irradiation conditions, and (3) drying-storage histories (stress at maximum temperature) [1]. The experiment results also show that the ductile to brittle temperature increases as the fuel burnup increases. These results indicate that the current knowledge in cladding material property is insufficient to determine the structural performance of the cladding of high burnup fuel after it has been stored in a dry cask storage system for some time. The uncertainties in material property and the elevated ductile to brittle transition temperature impose a challenge to the storage cask and transportation packaging designs because the cask designs may not be able to rely on the structural integrity of the fuel assembly for control of fissile material, radiation source, and decay heat source distributions. The fuel may reconfigure during further storage and/or the subsequent transportation conditions. In addition, the fraction of radioactive materials available for release from spent fuel under normal condition of storage and transport may also change. The spent fuel storage and/or transportation packaging vendors, spent fuel shippers, and the regulator may need to consider this possible fuel reconfiguration and its impact on the packages' ability to meet the safety requirements of Part 72 and Part 71 of Title 10 of the Code of Federal Regulations. The United States Nuclear Regulatory Commission (NRC) is working with the scientists at Oak Ridge National Laboratory (ORNL) to assess the impact of fuel reconfiguration on the safety of the dry storage systems and transportation packages. The NRC Division of Spent Fuel Storage and Transportation has formed a task force to work on the safety and regulatory concerns in relevance to high burnup fuel storage and transportation. This paper discusses the staff's preliminary considerations on the safety implication of fuel reconfiguration with respect to nuclear safety (subcriticality control), radiation shielding, containment, the performance of the thermal functions of the packages, and the retrievability of the contents from regulatory perspective. (authors)

  10. The Particle Accelerator Simulation Code PyORBIT

    SciTech Connect (OSTI)

    Gorlov, Timofey V [ORNL; Holmes, Jeffrey A [ORNL; Cousineau, Sarah M [ORNL; Shishlo, Andrei P [ORNL

    2015-01-01T23:59:59.000Z

    The particle accelerator simulation code PyORBIT is presented. The structure, implementation, history, parallel and simulation capabilities, and future development of the code are discussed. The PyORBIT code is a new implementation and extension of algorithms of the original ORBIT code that was developed for the Spallation Neutron Source accelerator at the Oak Ridge National Laboratory. The PyORBIT code has a two level structure. The upper level uses the Python programming language to control the flow of intensive calculations performed by the lower level code implemented in the C++ language. The parallel capabilities are based on MPI communications. The PyORBIT is an open source code accessible to the public through the Google Open Source Projects Hosting service.

  11. National Template: Stationary & Portable Fuel Cell Systems (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-07-01T23:59:59.000Z

    This graphic template shows the SDOs responsible for leading the support and development of key codes and standards for stationary and portable fuel cell systems.

  12. Synthetic Fuel

    ScienceCinema (OSTI)

    Idaho National Laboratory - Steve Herring, Jim O'Brien, Carl Stoots

    2010-01-08T23:59:59.000Z

    Two global energy priorities today are finding environmentally friendly alternatives to fossil fuels, and reducing greenhouse gass Two global energy priorities today are finding environmentally friendly alternatives to fossil fuels, and reducing greenhous

  13. Wavelet-based progressive image and video coding using trellis-coded space-frequency quantization

    E-Print Network [OSTI]

    Seigneurbieux, Pierre

    2000-01-01T23:59:59.000Z

    Images and video are a very challenging topic in multimedia applications. Recently, with the explosion of the Internet, multiresolution source codes are necessary to better suit to the heterogeneity of the networks. This thesis first proposes a...

  14. Energy Sources: Renewable Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandard |inHVAC | DepartmentSource |  Why Hydrogen? * Fossil

  15. Fuel Economy

    Broader source: Energy.gov [DOE]

    The Energy Department is investing in groundbreaking research that will make cars weigh less, drive further and consume less fuel.

  16. Chemical Kinetic Modeling of Advanced Transportation Fuels

    SciTech Connect (OSTI)

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

    2009-01-20T23:59:59.000Z

    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.

  17. Transportation Fuels

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances »Contact-InformationFuels DOE would

  18. Fuel Cells

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof Energy ForrestalPrinceton PlasmaEnergyFuel Cell

  19. Multi-Fuel Boiler Efficiency Calculations

    E-Print Network [OSTI]

    Likins, M. R., Jr.

    1984-01-01T23:59:59.000Z

    With increasing energy costs, the use of waste fuels has become commonplace in the petroleum and petrochemical industries. The American Society of Mechanical Engineers Power Test Codes date back to 1915, but do not directly approach the subject...

  20. Multi-Fuel Boiler Efficiency Calculations 

    E-Print Network [OSTI]

    Likins, M. R., Jr.

    1984-01-01T23:59:59.000Z

    With increasing energy costs, the use of waste fuels has become commonplace in the petroleum and petrochemical industries. The American Society of Mechanical Engineers Power Test Codes date back to 1915, but do not directly approach the subject...

  1. "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from0 DETAILED52.31.332

  2. "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from0 DETAILED52.31.3324

  3. "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data from03.4 Relative2.49

  4. Hydrogen, Fuel Infrastructure

    E-Print Network [OSTI]

    be powered by hydrogen, and pollution-free." "Join me in this important innovation to make our air for the foreseeable future. Even with the significant energy efficiency benefits that gasoline- electric hybrid - fossil fuels like natural gas and coal; renewable energy sources such as solar radiation, wind

  5. Autothermal-reformer fuel-cell power plants. Final technical report, 11 July 1983-31 January 1984

    SciTech Connect (OSTI)

    Bloomfield, D.P.

    1984-02-28T23:59:59.000Z

    A total of six systems models were developed and analyzed. The first of these considered a hydrocarbon-fueled, ATR-based power plant. The next three systems examined three condensing approaches to a neat methanol fuel cell power plant. Finally, two non-condensing approaches to neat methanol operation were investigated. One of these, configuration G041G, was selected for extensive parametric analysis. The system used an autothermal reforming fuel processor in conjunction with an air cooled fuel-cell stack. As part of the program a systems model of the Energy Research Corp. fuel cell was developed. In addition, the existing ATR model in the PSI/S3E library was updated to permit the analysis of methanol fuel. Each of the systems developed is completely described in a separate chapter. All computer codes developed under the contract have been supplied in BASIC source code suitable for implementation of an IBM/PC computer. All codes function in the PSI/S3E environment except for the parametric analysis of G041G which also uses the LOTUS 1 2 3 environment.

  6. Radionuclide release rates from spent fuel for performance assessment modeling

    SciTech Connect (OSTI)

    Curtis, D.B.

    1994-11-01T23:59:59.000Z

    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.

  7. aluminum-based doe fuels: Topics by E-print Network

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

    Source: US DOE 332011 eere at World Expo, Olympics) Subsidies for jobs, 3 | Fuel Cell Technologies Program Source: US DOE 3 12 1 | Fuel Cell Technologies Program...

  8. Emissions Benefits From Renewable Fuels and Other Alternatives for Heavy-Duty Vehicles

    E-Print Network [OSTI]

    Hajbabaei, Maryam

    2013-01-01T23:59:59.000Z

    fuel produced from renewable biomass sources, such as fattyfuel is produced from renewable biomass sources, such aswith Oxygenated Biomass Fuels. Renewable and Sustainable

  9. Advanced Fuel Reformer Development: Putting the 'Fuel' in Fuel...

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

    Fuel Reformer Development: Putting the 'Fuel' in Fuel Cells Advanced Fuel Reformer Development: Putting the 'Fuel' in Fuel Cells Presented at the DOE-DOD Shipboard APU Workshop on...

  10. High conversion Th-U{sup 233} fuel assembly for current generation of PWRs

    SciTech Connect (OSTI)

    Baldova, D.; Fridman, E. [Reactor Safety Div., Helmholtz-Zentrum Dresden-Rossendorf, POB 510119, Dresden, 01314 (Germany)

    2012-07-01T23:59:59.000Z

    This paper presents a preliminary design of a high conversion Th-U{sup 233} fuel assembly applicable for current generation of Pressurized Water Reactor (PWRs). The considered fuel assembly has a typical 17 x 17 PWR lattice. However in order to increase the conversion of Th{sup 232} to U{sup 233}, the assembly was subdivided into the two regions called seed and blanket. The central seed region has a higher than blanket U{sup 233} content and acts as a neutron source for the peripheral blanket region. The latest acts as a U{sup 233} breeder. While the seed fuel pins have a standard dimensions the blanket fuel radius was increased in order to reduce the moderation and to facilitate the resonance neutron absorption in blanket Th{sup 232}. The U{sup 233} content in the seed and blanket regions was optimized to achieve maximal initial to discharged fissile inventory ratio (FIR) taking into account the target fuel cycle length of 12 months with 3-batch reloading scheme. In this study the neutronic calculations were performed on the fuel assembly level using Helios deterministic lattice transport code. The fuel cycle length and the core k{sub eff} were estimated by applying the Non Linear Reactivity Model. The applicability of the HELIOS code for the analysis of the Th-based high conversion designs was confirmed with the help of continuous-energy Monte-Carlo code SERPENT. The results of optimization studies show that for the heterogeneous seed and blanket (SB) fuel assembly the FIR of about 0.95 can be achieved. (authors)

  11. Fuel Chemistry and Cetane Effects on HCCI Performance, Combustion...

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

    Chemistry and Cetane Effects on HCCI Performance, Combustion, and Emissions Cetane Performance and Chemistry Comparing Conventional Fuels and Fuels Derived from Heavy Crude Sources...

  12. Generalized Concatenation for Quantum Codes

    E-Print Network [OSTI]

    Markus Grassl; Peter W. Shor; Bei Zeng

    2009-05-04T23:59:59.000Z

    We show how good quantum error-correcting codes can be constructed using generalized concatenation. The inner codes are quantum codes, the outer codes can be linear or nonlinear classical codes. Many new good codes are found, including both stabilizer codes as well as so-called nonadditive codes.

  13. Integrated Codes | National Nuclear Security Administration

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes | National Nuclear Security Administration Facebook Twitter Youtube

  14. Code of Conduct Regarding Holiday Gifts

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccessAlamosCharacterization2Climate,Cobalt discoveryCode of Conduct

  15. Safety, Codes, and Standards | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSARDevelopmental AssignmentAprilANDSafetySafety, Codes, and

  16. Design Code Survey Form | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy,Policy Act ImplementingALEnergy Deputy SecretaryDesign Code

  17. Utah Code Annotated | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga,planning methodologies and tools |UC 54-2 -permit required | OpenCode

  18. Building Energy Code | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in CarbonofBiotinsBostonBridgerBuckeye Power,energy codes adopted

  19. Graph concatenation for quantum codes

    E-Print Network [OSTI]

    Beigi, Salman

    Graphs are closely related to quantum error-correcting codes: every stabilizer code is locally equivalent to a graph code and every codeword stabilized code can be described by a graph and a classical code. For the ...

  20. Product Service Codes Description: Product Service Codes used at Headquarters Proc Services

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+ Report Presentation:in the U.S. by6 (April 2012)77ProductCodes

  1. Model documentation: Electricity Market Module, Load and Demand-Side Management submodule. Volume 2, Model code listing

    SciTech Connect (OSTI)

    Not Available

    1994-04-07T23:59:59.000Z

    Volume II of the documentation contains the actual source code of the LDSM submodule, and the cross reference table of its variables. The code is divided into two parts. The first part contains the main part of the source code. The second part lists the INCLUDE files referenced inside the main part of the code.

  2. Biodiesel Fuel

    E-Print Network [OSTI]

    unknown authors

    publication 442-880 There are broad and increasing interests across the nation in using domestic, renewable bioenergy. Virginia farmers and transportation fleets use considerable amounts of diesel fuel in their operations. Biodiesel is an excellent alternative fuel for the diesel engines. Biodiesel can be produced from crops commonly grown in Virginia, such as soybean and canola, and has almost the same performance as petrodiesel. The purpose of this publication is to introduce the basics of biodiesel fuel and address some myths and answer some questions about biodiesel fuel before farmers and fleet owners use this type of fuel. ASTM standard for biodiesel (ASTM D6751) Biodiesel fuel, hereafter referred to as simply biodiesel,

  3. Landfill Gas Fueled HCCI Demonstration System

    E-Print Network [OSTI]

    Blizman, Brandon J.; Makel, Darby B.; Mack, John Hunter; Dibble, Robert W.

    2006-01-01T23:59:59.000Z

    USA ICEF2006-1578 LANDFILL GAS FUELED HCCI DEMONSTRATIONengine that runs on landfill gas. The project team led bygas and simulated landfill gas as a fuel source. This

  4. Landfill Gas Fueled HCCI Demonstration System

    E-Print Network [OSTI]

    Blizman, Brandon J.; Makel, Darby B.; Mack, John Hunter; Dibble, Robert W.

    2006-01-01T23:59:59.000Z

    USA ICEF2006-1578 LANDFILL GAS FUELED HCCI DEMONSTRATIONengine that runs on landfill gas. The project team led bynatural gas and simulated landfill gas as a fuel source.

  5. 2008 Fuel Cell Technologies Market Report

    Fuel Cell Technologies Publication and Product Library (EERE)

    Fuel cells are electrochemical devices that combine hydrogen and oxygen to produce electricity, water, and heat. Unlike batteries, fuel cells continuously generate electricity, as long as a source of

  6. CONCATENATED CODES BASED ON MULTIDIMENSIONAL PARITY-CHECK CODES AND TURBO CODES

    E-Print Network [OSTI]

    Wong, Tan F.

    CONCATENATED CODES BASED ON MULTIDIMENSIONAL PARITY-CHECK CODES AND TURBO CODES John M. Shea, Florida Abstract--Turbo-codes provide communications near capac- ity when very large interleavers (and parity-check code can be used as an outer code with a turbo code as an inner code in a serial

  7. Fuel Cells

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

    the major national security imperatives of this century. Get Expertise Rod Borup MPA-11, Fuel Cell Program Manager Email Andrew Dattelbaum MPA-11 Group Leader Email Melissa Fox...

  8. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageStationGreenhouse Gas (GHG)North CarolinaAFDCE85 CodesMaps

  9. Energy 101: Algae-to-Fuel

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

    One of the fuel sources of the future is algae, small aquatic organisms that convert sunlight into energy and store it in the form of oil. S

  10. Alternative Fuels Data Center: Maps and Data

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    fuels such as biodiesel, compressed natural gas (CNG), and liquefied natural gas (LNG). Source: Federal Highway Administration (FHA). National Statistics and Maps. 2007....

  11. Alternative Fuels Data Center: Pollutants and Health

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

    and alternative fuel vehicles, it is a concern for electric vehicles since electricity generation is the largest source of SOx. Lead Lead, which causes brain and...

  12. Fuel injector

    DOE Patents [OSTI]

    Lambeth, Malcolm David Dick (Bromley, GB)

    2001-02-27T23:59:59.000Z

    A fuel injector comprises first and second housing parts, the first housing part being located within a bore or recess formed in the second housing part, the housing parts defining therebetween an inlet chamber, a delivery chamber axially spaced from the inlet chamber, and a filtration flow path interconnecting the inlet and delivery chambers to remove particulate contaminants from the flow of fuel therebetween.

  13. Sources Sought Announcement

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMay 20102 | NationalThis SOURCES SOUGHT

  14. Plasma Sources Sci. Technol.

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum38 (1996) A213-A225. Printed in the UK4Sources

  15. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection

  16. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection

  17. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection32.1

  18. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection32.1

  19. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection32.150.1

  20. Source Selection Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's Nuclear EnergySmartOverview - 2015 Source Selection32.150.1

  1. Photon Source Parameters

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)IntegratedSpeeding accessPeptoid NanosheetsStudying thePhotoinducedPhoton Source

  2. Fuel rail

    SciTech Connect (OSTI)

    Haigh, M.; Herbert, J.D.; O'Leary, J.J.

    1988-09-20T23:59:59.000Z

    This patent describes a fuel rail for a V-configuration automotive type internal combustion engine having a throttle body superimposed over an intake manifold. The throttle body has an air plenum above an induction channel aligned with a throttle bore passage in the manifold for flow or air to the engine cylinders. The rail includes a spacer body mounted sealingly between the throttle body and the manifold of the engine and having air induction passages therethrough to connect the throttle body channels and the manifold, the spacer body having at least on longitudinal bore defining a fuel passage extending through the spacer body, and a fuel injector receiving cups projecting from and communicating with the fuel passage. The spacer body consists of a number of separated spacer members, and rail member means through which the fuel passage runs joining the spacer members together.

  3. Advances in Electrical and Computer Engineering Abstract--The linear, binary, block codes with no equally

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Advances in Electrical and Computer Engineering 1 Abstract-- The linear, binary, block codes block codes is proposed. These codes are seen as sources with memory and the information quantities H(S,X), H(S), H(X), H(X|S), H(S|X), I(S,X) are derived. On the base of these quantities, the code

  4. Unfolding the color code

    E-Print Network [OSTI]

    Aleksander Kubica; Beni Yoshida; Fernando Pastawski

    2015-03-06T23:59:59.000Z

    The topological color code and the toric code are two leading candidates for realizing fault-tolerant quantum computation. Here we show that the color code on a $d$-dimensional closed manifold is equivalent to multiple decoupled copies of the $d$-dimensional toric code up to local unitary transformations and adding or removing ancilla qubits. Our result not only generalizes the proven equivalence for $d=2$, but also provides an explicit recipe of how to decouple independent components of the color code, highlighting the importance of colorability in the construction of the code. Moreover, for the $d$-dimensional color code with $d+1$ boundaries of $d+1$ distinct colors, we find that the code is equivalent to multiple copies of the $d$-dimensional toric code which are attached along a $(d-1)$-dimensional boundary. In particular, for $d=2$, we show that the (triangular) color code with boundaries is equivalent to the (folded) toric code with boundaries. We also find that the $d$-dimensional toric code admits logical non-Pauli gates from the $d$-th level of the Clifford hierarchy, and thus saturates the bound by Bravyi and K\\"{o}nig. In particular, we show that the $d$-qubit control-$Z$ logical gate can be fault-tolerantly implemented on the stack of $d$ copies of the toric code by a local unitary transformation.

  5. Synthetic fuels handbook: properties, process and performance

    SciTech Connect (OSTI)

    Speight, J. [University of Utah, UT (United States)

    2008-07-01T23:59:59.000Z

    The handbook is a comprehensive guide to the benefits and trade-offs of numerous alternative fuels, presenting expert analyses of the different properties, processes, and performance characteristics of each fuel. It discusses the concept systems and technology involved in the production of fuels on both industrial and individual scales. Chapters 5 and 7 are of special interest to the coal industry. Contents: Chapter 1. Fuel Sources - Conventional and Non-conventional; Chapter 2. Natural Gas; Chapter 3. Fuels From Petroleum and Heavy Oil; Chapter 4. Fuels From Tar Sand Bitumen; Chapter 5. Fuels From Coal; Chapter 6. Fuels From Oil Shale; Chapter 7. Fuels From Synthesis Gas; Chapter 8. Fuels From Biomass; Chapter 9. Fuels From Crops; Chapter 10. Fuels From Wood; Chapter 11. Fuels From Domestic and Industrial Waste; Chapter 12. Landfill Gas. 3 apps.

  6. List decoding of subspace codes and rank-metric codes

    E-Print Network [OSTI]

    Mahdavifar, Hessam

    2012-01-01T23:59:59.000Z

    2.2.2 Koetter-Kschischang Codes . . . . . . . . . . . .of Subspace Codes . . . . . . . . . . . . . . 2.3.1 OverviewList-decodable Codes of Arbitrary Dimension . . . . . . .

  7. Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

  8. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

  9. Coding AuthentiCity

    E-Print Network [OSTI]

    Mercier, Rachel Havens

    2008-01-01T23:59:59.000Z

    This thesis analyzes the impact of form-based codes, focusing on two research questions: (1) What is the underlying motivation for adopting a form-based code? (2) What motivations have the most significant impact on ...

  10. Introduction to Algebraic Codes

    E-Print Network [OSTI]

    for health care. These self-correcting codes that occur in nature might be better than all of. our coding theory based on algebra or algebraic geometry. It is a myth

  11. Building Energy Code

    Broader source: Energy.gov [DOE]

    Note: Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

  12. Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Note: Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For...

  13. Cellulases and coding sequences

    DOE Patents [OSTI]

    Li, Xin-Liang (Athens, GA); Ljungdahl, Lars G. (Athens, GA); Chen, Huizhong (Lawrenceville, GA)

    2001-02-20T23:59:59.000Z

    The present invention provides three fungal cellulases, their coding sequences, recombinant DNA molecules comprising the cellulase coding sequences, recombinant host cells and methods for producing same. The present cellulases are from Orpinomyces PC-2.

  14. Building Energy Code

    Broader source: Energy.gov [DOE]

    The New Jersey Uniform Construction Code Act provides that model codes and standards publications shall not be adopted more frequently than once every three years. However, a revision or amendment...

  15. Building Energy Code

    Broader source: Energy.gov [DOE]

    All residential and commercial structures are required to comply with the state’s energy code. The 2009 New Mexico Energy Conservation Code (NMECC), effective June 2013, is based on 2009...

  16. Building Energy Code

    Broader source: Energy.gov [DOE]

    Prior to 1997, South Carolina's local governments adopted and enforced the building codes. In 1997, the law required statewide use of the most up-to-date building codes, which then required the...

  17. Full-fuel-cycle modeling for alternative transportation fuels

    SciTech Connect (OSTI)

    Bell, S.R.; Gupta, M. [Univ. of Alabama, Tuscaloosa, AL (United States); Greening, L.A. [Lawrence Berkeley National Lab., CA (United States). Energy and Environment Div.

    1995-12-01T23:59:59.000Z

    Utilization of alternative fuels in the transportation sector has been identified as a potential method for mitigation of petroleum-based energy dependence and pollutant emissions from mobile sources. Traditionally, vehicle tailpipe emissions have served as sole data when evaluating environmental impact. However, considerable differences in extraction and processing requirements for alternative fuels makes evident the need to consider the complete fuel production and use cycle for each fuel scenario. The work presented here provides a case study applied to the southeastern region of the US for conventional gasoline, reformulated gasoline, natural gas, and methanol vehicle fueling. Results of the study demonstrate the significance of the nonvehicle processes, such as fuel refining, in terms of energy expenditure and emissions production. Unique to this work is the application of the MOBILE5 mobile emissions model in the full-fuel-cycle analysis. Estimates of direct and indirect greenhouse gas production are also presented and discussed using the full-cycle-analysis method.

  18. PNNL Expert Alan Zacher Discusses Bio-Based Fuels

    SciTech Connect (OSTI)

    Alan Zacher

    2011-10-01T23:59:59.000Z

    Chemical Engineer Alan Zacher discusses the process for creating fuels from renewable sources in an efficient manner.

  19. PNNL Expert Alan Zacher Discusses Bio-Based Fuels

    ScienceCinema (OSTI)

    Alan Zacher

    2012-12-31T23:59:59.000Z

    Chemical Engineer Alan Zacher discusses the process for creating fuels from renewable sources in an efficient manner.

  20. Homological Product Codes

    E-Print Network [OSTI]

    Sergey Bravyi; Matthew B. Hastings

    2013-11-04T23:59:59.000Z

    Quantum codes with low-weight stabilizers known as LDPC codes have been actively studied recently due to their simple syndrome readout circuits and potential applications in fault-tolerant quantum computing. However, all families of quantum LDPC codes known to this date suffer from a poor distance scaling limited by the square-root of the code length. This is in a sharp contrast with the classical case where good families of LDPC codes are known that combine constant encoding rate and linear distance. Here we propose the first family of good quantum codes with low-weight stabilizers. The new codes have a constant encoding rate, linear distance, and stabilizers acting on at most $\\sqrt{n}$ qubits, where $n$ is the code length. For comparison, all previously known families of good quantum codes have stabilizers of linear weight. Our proof combines two techniques: randomized constructions of good quantum codes and the homological product operation from algebraic topology. We conjecture that similar methods can produce good stabilizer codes with stabilizer weight $n^a$ for any $a>0$. Finally, we apply the homological product to construct new small codes with low-weight stabilizers.

  1. Understanding Perception Through Neural 'Codes'

    E-Print Network [OSTI]

    Freeman, Walter J III

    2011-01-01T23:59:59.000Z

    Perception Through Neural ‘Codes’. In: Special Issue on “Perception Through Neural ‘Codes’. In: Special Issue on “Perception Through Neural ‘Codes’. In: Special Issue on “

  2. Hydrogen-fueled polymer electrolyte fuel cell systems for transportation.

    SciTech Connect (OSTI)

    Ahluwalia, R.; Doss, E.D.; Kumar, R.

    1998-10-19T23:59:59.000Z

    The performance of a polymer electrolyte fuel cell (PEFC) system that is fueled directly by hydrogen has been evaluated for transportation vehicles. The performance was simulated using a systems analysis code and a vehicle analysis code. The results indicate that, at the design point for a 50-kW PEFC system, the system efficiency is above 50%. The efficiency improves at partial load and approaches 60% at 40% load, as the fuel cell operating point moves to lower current densities on the voltage-current characteristic curve. At much lower loads, the system efficiency drops because of the deterioration in the performance of the compressor, expander, and, eventually, the fuel cell. The results also indicate that the PEFC system can start rapidly from ambient temperatures. Depending on the specific weight of the fuel cell (1.6 kg/kW in this case), the system takes up to 180s to reach its design operating conditions. The PEFC system has been evaluated for three mid-size vehicles: the 1995 Chrysler Sedan, the near-term Ford AIV (Aluminum Intensive Vehicle) Sable, and the future P2000 vehicle. The results show that the PEFC system can meet the demands of the Federal Urban Driving Schedule and the Highway driving cycles, for both warm and cold start-up conditions. The results also indicate that the P2000 vehicle can meet the fuel economy goal of 80 miles per gallon of gasoline (equivalent).

  3. Vehicle Codes and Standards: Overview and Gap Analysis

    SciTech Connect (OSTI)

    Blake, C.; Buttner, W.; Rivkin, C.

    2010-02-01T23:59:59.000Z

    This report identifies gaps in vehicle codes and standards and recommends ways to fill the gaps, focusing on six alternative fuels: biodiesel, natural gas, electricity, ethanol, hydrogen, and propane.

  4. Experimental validation of the DARWIN2.3 package for fuel cycle applications

    SciTech Connect (OSTI)

    San-Felice, L.; Eschbach, R.; Bourdot, P. [DEN, DER, CEA-Cadarache, F-13108 ST Paul-Lez-Durance (France); Tsilanizara, A.; Huynh, T. D. [DEN, DM2S, CEA-Saclay, F-91191 Gif sur Yvette (France); Ourly, H. [EDF, R and D, 1 av. General de Gaulle, F-92131 Clamart Cedex (France); Thro, J. F. [AREVA, Tour AREVA, F-92084 Paris la Defense (France)

    2012-07-01T23:59:59.000Z

    The DARWIN package, developed by the CEA and its French partners (AREVA and EDF) provides the required parameters for fuel cycle applications: fuel inventory, decay heat, activity, neutron, {gamma}, {alpha}, {beta} sources and spectrum, radiotoxicity. This paper presents the DARWIN2.3 experimental validation for fuel inventory and decay heat calculations on Pressurized Water Reactor (PWR). In order to validate this code system for spent fuel inventory a large program has been undertaken, based on spent fuel chemical assays. This paper deals with the experimental validation of DARWIN2.3 for the Pressurized Water Reactor (PWR) Uranium Oxide (UOX) and Mixed Oxide (MOX) fuel inventory calculation, focused on the isotopes involved in Burn-Up Credit (BUC) applications and decay heat computations. The calculation - experiment (C/E-1) discrepancies are calculated with the latest European evaluation file JEFF-3.1.1 associated with the SHEM energy mesh. An overview of the tendencies is obtained on a complete range of burn-up from 10 to 85 GWd/t (10 to 60 GWcVt for MOX fuel). The experimental validation of the DARWIN2.3 package for decay heat calculation is performed using calorimetric measurements carried out at the Swedish Interim Spent Fuel Storage Facility for Pressurized Water Reactor (PWR) assemblies, covering a large burn-up (20 to 50 GWd/t) and cooling time range (10 to 30 years). (authors)

  5. Greater fuel diversity needed to meet growing US electricity demand

    SciTech Connect (OSTI)

    Burt, B.; Mullins, S. [Industrial Info Resources (United States)

    2008-01-15T23:59:59.000Z

    Electricity demand is growing in the USA. One way to manage the uncertainty is to diversity fuel sources. Fuel sources include coal, natural gas, nuclear and renewable energy sources. Tables show actual and planned generation projects by fuel types. 1 fig., 2 tabs.

  6. An evaluation of thermal modeling techniques utilized for nuclear fuel rods

    E-Print Network [OSTI]

    Simmons, Jeffrey Warren

    1989-01-01T23:59:59.000Z

    modeling techniques. Lassmann [23] states that comparisons of code predictions and experimental results or comparisons between different codes often show rather large differences. A code review conducted by EPRI (Electric Power Research Institute) [24... performance codes. Two earlier reviews on fuel performance codes were conducted by EPRI in 1979 and Kummerer in 1976 [26]. The EPRI review compares the codes capabilities as well as their predictions to selected experimental results. The Kummerer review...

  7. Shortened Turbo Codes

    E-Print Network [OSTI]

    David J.C. MacKay

    Simple arguments suggest that shortened codes must have distance properties equal to or better than those of their parent codes, and that they should be equally practical to decode. This relationship holds true in the case of low density generator codes and low density parity check codes. We investigate the properties of shortened turbo codes. I. Motivation for Shortening In our previous work on codes based on very sparse matrices we have observed that while codes with a low density generator matrix [1] are asymptotically bad, codes with a low density parity check matrix [2] are asymptotically good [3, 4, 5]. One way of viewing the relationship between low density generator matrix codes and low density parity check matrix codes is that one obtains a low density parity check matrix by taking the M \\Theta N parity check matrix [P IM ] of a (N; K) low density generator matrix code and chopping off its right-most M columns (where M = N \\Gamma K), to yield an M \\Theta K matrix [P], which...

  8. NAICS Codes @ Headquarters Description: NAICS Codes used at Headquarters Procurement Services

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005 attheMohammed Khan - Technology ProjectEnergyNAICS Codes @

  9. Natural Gas Lease Fuel Consumption

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009 2010 2011 2012864,113

  10. Natural Gas Plant Fuel Consumption

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009 201070,174 674,124

  11. Natural Gas Vehicle Fuel Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 andEIA1-2015 Colorado

  12. Natural Gas Vehicle Fuel Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 andEIA1-2015 Colorado

  13. EDG Fuels | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential MicrohydroDistrict ofDongjinDynetek Europeform View source

  14. Blind Source Separation and Independent Component Analysis: Seungjin Choi

    E-Print Network [OSTI]

    Cichocki, Andrzej

    REVIEW Blind Source Separation and Independent Component Analysis: A Review Seungjin Choi, sylee}@kaist.ac.kr (Submitted on October 20, 2004) Abstract - Blind source separation (BSS meaningful coding or blind source estimation. The key issue is to find a such transformation or coding

  15. Unconventional fuel: Tire derived fuel

    SciTech Connect (OSTI)

    Hope, M.W. [Waste Recovery, Inc., Portland, OR (United States)

    1995-09-01T23:59:59.000Z

    Material recovery of scrap tires for their fuel value has moved from a pioneering concept in the early 1980`s to a proven and continuous use in the United States` pulp and paper, utility, industrial, and cement industry. Pulp and paper`s use of tire derived fuel (TDF) is currently consuming tires at the rate of 35 million passenger tire equivalents (PTEs) per year. Twenty mills are known to be burning TDF on a continuous basis. The utility industry is currently consuming tires at the rate of 48 million PTEs per year. Thirteen utilities are known to be burning TDF on a continuous basis. The cement industry is currently consuming tires at the rate of 28 million PTEs per year. Twenty two cement plants are known to be burning TDF on a continuous basis. Other industrial boilers are currently consuming tires at the rate of 6.5 million PTEs per year. Four industrial boilers are known to be burning TDF on a continuous basis. In total, 59 facilities are currently burning over 117 million PTEs per year. Although 93% of these facilities were not engineered to burn TDF, it has become clear that TDF has found acceptance as a supplemental fuel when blending with conventional fuels in existing combustion devices designed for normal operating conditions. The issues of TDF as a supplemental fuel and its proper specifications are critical to the successful development of this fuel alternative. This paper will focus primarily on TDF`s use in a boiler type unit.

  16. Evaluation of the DRAGON code for VHTR design analysis.

    SciTech Connect (OSTI)

    Taiwo, T. A.; Kim, T. K.; Nuclear Engineering Division

    2006-01-12T23:59:59.000Z

    This letter report summarizes three activities that were undertaken in FY 2005 to gather information on the DRAGON code and to perform limited evaluations of the code performance when used in the analysis of the Very High Temperature Reactor (VHTR) designs. These activities include: (1) Use of the code to model the fuel elements of the helium-cooled and liquid-salt-cooled VHTR designs. Results were compared to those from another deterministic lattice code (WIMS8) and a Monte Carlo code (MCNP). (2) The preliminary assessment of the nuclear data library currently used with the code and libraries that have been provided by the IAEA WIMS-D4 Library Update Project (WLUP). (3) DRAGON workshop held to discuss the code capabilities for modeling the VHTR.

  17. SCALE: A modular code system for performing standardized computer analyses for licensing evaluation: Functional modules F1-F8

    SciTech Connect (OSTI)

    NONE

    1997-03-01T23:59:59.000Z

    This Manual represents Revision 5 of the user documentation for the modular code system referred to as SCALE. The history of the SCALE code system dates back to 1969 when the current Computational Physics and Engineering Division at Oak Ridge National Laboratory (ORNL) began providing the transportation package certification staff at the U.S. Atomic Energy Commission with computational support in the use of the new KENO code for performing criticality safety assessments with the statistical Monte Carlo method. From 1969 to 1976 the certification staff relied on the ORNL staff to assist them in the correct use of codes and data for criticality, shielding, and heat transfer analyses of transportation packages. However, the certification staff learned that, with only occasional use of the codes, it was difficult to become proficient in performing the calculations often needed for an independent safety review. Thus, shortly after the move of the certification staff to the U.S. Nuclear Regulatory Commission (NRC), the NRC staff proposed the development of an easy-to-use analysis system that provided the technical capabilities of the individual modules with which they were familiar. With this proposal, the concept of the Standardized Computer Analyses for Licensing Evaluation (SCALE) code system was born. This volume consists of the section of the manual dealing with eight of the functional modules in the code. Those are: BONAMI - resonance self-shielding by the Bondarenko method; NITAWL-II - SCALE system module for performing resonance shielding and working library production; XSDRNPM - a one-dimensional discrete-ordinates code for transport analysis; XSDOSE - a module for calculating fluxes and dose rates at points outside a shield; KENO IV/S - an improved monte carlo criticality program; COUPLE; ORIGEN-S - SCALE system module to calculate fuel depletion, actinide transmutation, fission product buildup and decay, and associated radiation source terms; ICE.

  18. Design considerations for DC-DC converters in fuel cell systems

    E-Print Network [OSTI]

    Palma Fanjul, Leonardo Manuel

    2009-05-15T23:59:59.000Z

    Rapidly rising fossil fuel costs along with increased environmental awareness has encouraged the development of alternative energy sources. Such sources include fuel cells, wind, solar and ocean tide power. Among them, fuel cells have received...

  19. BWR Fuel Assembly BWR Fuel Assembly PWR Fuel Assembly

    National Nuclear Security Administration (NNSA)

    BWR Fuel Assembly BWR Fuel Assembly PWR Fuel Assembly PWR Fuel Assembly The PWR 17x17 assembly is approximately 160 inches long (13.3 feet), 8 inches across, and weighs 1,500 lbs....

  20. DOE Codes Program Overview - 2015 Peer Review | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube| Department of Energy -StateOffshoreFuel CycleofDepartment ofCodes Program