Sample records for include energy statistics

  1. Tennessee Energy Statistics Quarterly. Second quarter 1984

    SciTech Connect (OSTI)

    Finley, T.F. III; Hensley, B.D.; Trotter, T.

    1985-01-01T23:59:59.000Z

    The Tennessee Energy Statistics Quarterly presents the most current energy statistics available which are specific to the State of Tennessee. In every instance possible, county-level energy data are also shown. The report covers three substantive areas of the energy flow production, consumption, and pricing. The specific energy types for which data are included are coal, petroleum, natural gas and electricity. The Tennessee Energy Statistics Quarterly has been developed by the Tennessee Energy Data Base Program to serve as a supplement to the Energy Division publication - The Tennessee Energy Profiles: 1960-1980. Historical data reported in this volume cover the production and utilization of major energy supplies by fuel type and economic sectors, as well as other energy data such as prices and fuel distribution. 12 figures, 12 tables.

  2. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Total Crude Oil Imports: 239 Mt World's Oil Consumption (consumption - Urban Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Mtce Crude Oilconsumption - Urban Other Statistical Difference Appendix 3: Energy Balance/China 2010 (cont’d) Physical Quantity Crude Oil

  3. Energy Consumption of Personal Computing Including Portable

    E-Print Network [OSTI]

    Namboodiri, Vinod

    Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

  4. Summary Recommendations of Review of Statistical Research Methods Training and Research Support (including the Statistical Consulting Unit)

    E-Print Network [OSTI]

    Botea, Adi

    (including the Statistical Consulting Unit) Training in statistics for postgraduates R1: The senior a co-ordinated approach to the statistical training of postgraduate students. R2: If the senior, and which is designed to capture postgraduates in programs where statistics training is not routinely

  5. International Energy Statistics - EIA

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOfvia aEnergyInternational

  6. International Energy Statistics

    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, Wisconsin:DeploymentSite Name:24,High naturalProsperity

  7. International Energy Statistics

    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, Wisconsin:DeploymentSite Name:24,High naturalProsperity

  8. Monthly Energy Statistics

    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 82981-1cnHighandSWPA / SPRA /Ml'.Solar Thermal SolarJuly 28,September 25, 1998July

  9. Equi-energy sampler with applications in statistical inference and statistical mechanics

    E-Print Network [OSTI]

    S. C. Kou; Qing Zhou; Wing Hung Wong

    2006-11-08T23:59:59.000Z

    We introduce a new sampling algorithm, the equi-energy sampler, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods, the equi-energy sampler, utilizing the temperature--energy duality, targets the energy directly. The focus on the energy function not only facilitates efficient sampling, but also provides a powerful means for statistical estimation, for example, the calculation of the density of states and microcanonical averages in statistical mechanics. The equi-energy sampler is applied to a variety of problems, including exponential regression in statistics, motif sampling in computational biology and protein folding in biophysics.

  10. Solar Energy Education. Renewable energy: a background text. [Includes glossary

    SciTech Connect (OSTI)

    Not Available

    1985-01-01T23:59:59.000Z

    Some of the most common forms of renewable energy are presented in this textbook for students. The topics include solar energy, wind power hydroelectric power, biomass ocean thermal energy, and tidal and geothermal energy. The main emphasis of the text is on the sun and the solar energy that it yields. Discussions on the sun's composition and the relationship between the earth, sun and atmosphere are provided. Insolation, active and passive solar systems, and solar collectors are the subtopics included under solar energy. (BCS)

  11. MHK technologies include current energy conversion

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

    research leverages decades of experience in engineering and design and analysis (D&A) of wind power technologies, and its vast research complex, including high-performance...

  12. Including Retro-Commissioning in Federal Energy Savings Performance...

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

    Including Retro-Commissioning in Federal Energy Savings Performance Contracts Including Retro-Commissioning in Federal Energy Savings Performance Contracts Document describes...

  13. Energy Department Expands Gas Gouging Reporting System to Include...

    Energy Savers [EERE]

    Washington, DC - Energy Secretary Samuel W. Bodman announced today that the Department of Energy has expanded its gas gouging reporting system to include a toll-free telephone...

  14. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    of China's Total Primary Energy Production by Source (1950-AAGR EJ Primary Energy Production (Mtce) Coal Oil NaturalRenewables Total Primary Energy Production by Source Shares*

  15. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Growth of China's Total Primary Energy Production (TPE) byFuel (Mtce) Primary Energy Production (Mtce) AAGR Coal Rawof China's Total Primary Energy Production (Mtce) AAGR Total

  16. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    2 Emissions per Total Primary Energy Supply (2008) tonne COStock Changes Total Primary Energy Supply Transfer The eastlarge consumers. Total primary energy supply equals to the

  17. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    2 Emissions per Total Primary Energy Supply (2009) tonnes COStock Changes Total Primary Energy Supply Transfer The eastlarge consumers. Total primary energy supply equals to the

  18. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    AAGR Total Primary Energy (Mtce) Coal Production (1985-2009)Physical Unit to Coal Equivalent For this energy form 1Total Primary Energy Supply Coke Coal Gas not Coke Other

  19. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    AAGR EJ Total Primary Energy (Mtce) Coal Production (1985-AAGR EJ Primary Energy Production (Mtce) Coal Oil Naturalby Fuel Shares Coal Oil Natural Gas Energy-Related CO 2

  20. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K. (ed.)

    1980-05-01T23:59:59.000Z

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  1. Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development

    E-Print Network [OSTI]

    Walter, M.Todd

    Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Engineering) W. VA #12;Energy Transitions: A Systems Approach August 2011 version Page 2 Energy Transitions sources globally, some very strong short-term drivers of energy transitions reflect rising concerns over

  2. Free Energy Efficiency Kit includes CFL light bulbs,

    E-Print Network [OSTI]

    Rose, Annkatrin

    Free Energy Efficiency Kit Kit includes CFL light bulbs, spray foam, low-flow shower head, and more for discounted energy assessments. FREE HOME ENERGY EFFICIENCY SEMINAR N e w R i ver L i g ht & Pow e r a n d W! Building Science 101 Presentation BPI Certified Building Professionals will present home energy efficiency

  3. Introduction to Small-Scale Wind Energy Systems (Including RETScreen...

    Open Energy Info (EERE)

    Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale...

  4. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Others Total Total Crude Oil Production by Region (1985-North West Chinese Crude Oil Production by Regional SharesEnergy Production (Mtce) AAGR Coal Raw Crude Oil Primary

  5. Calibration in High-Energy Astrophysics Statistical Methods

    E-Print Network [OSTI]

    van Dyk, David

    Calibration in High-Energy Astrophysics Statistical Methods Statistical Computation Empirical Illustrations Accounting for Calibration Uncertainty: High Energy Astrophysics and the PCG Sampler David A. van Dyk Accounting for Calibration Uncertainty #12;Calibration in High-Energy Astrophysics Statistical

  6. Optimal Energy Management Strategy including Battery Health through Thermal

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Optimal Energy Management Strategy including Battery Health through Thermal Management for Hybrid: Energy management strategy, Plug-in hybrid electric vehicles, Li-ion battery aging, thermal management, Pontryagin's Minimum Principle. 1. INTRODUCTION The interest for energy management strategy (EMS) of Hybrid

  7. IEA Energy Statistics | 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 beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind Farm Jump to: navigation, search

  8. #include #include

    E-Print Network [OSTI]

    Campbell, Andrew T.

    process #12;#include #include pid_t pid = fork(); if (pid () failed */ } else if (pid == 0) { /* parent process */ } else { /* child process */ } #12;thread #12

  9. Non resonant transmission modelling with Statistical modal Energy distribution Analysis

    E-Print Network [OSTI]

    Boyer, Edmond

    be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can

  10. #include #include

    E-Print Network [OSTI]

    Poinsot, Laurent

    #include #include //Rappels : "getpid()" permet d'obtenir son propre pid // "getppid()" renvoie le pid du père d'un processus int main (void) { pid_t pid_fils; pid_fils = fork(); if(pid_fils==-1) { printf("Erreur de création du processus fils\

  11. Solving The High Energy Evolution Equation Including Running Coupling Corrections

    E-Print Network [OSTI]

    Javier L. Albacete; Yuri V. Kovchegov

    2007-06-22T23:59:59.000Z

    We study the solution of the nonlinear BK evolution equation with the recently calculated running coupling corrections [hep-ph/0609105, hep-ph/0609090]. Performing a numerical solution we confirm the earlier result of [hep-ph/0408216] that the high energy evolution with the running coupling leads to a universal scaling behavior for the dipole scattering amplitude. The running coupling corrections calculated recently significantly change the shape of the scaling function as compared to the fixed coupling case leading to a considerable increase in the anomalous dimension and to a slow-down of the evolution with rapidity. The difference between the two recent calculations is due to an extra contribution to the evolution kernel, referred to as the subtraction term, which arises when running coupling corrections are included. These subtraction terms were neglected in both recent calculations. We evaluate numerically the subtraction terms for both calculations, and demonstrate that when the subtraction terms are added back to the evolution kernels obtained in the two works the resulting dipole amplitudes agree with each other! We then use the complete running coupling kernel including the subtraction term to find the numerical solution of the resulting full non-linear evolution equation with the running coupling corrections. Again the scaling regime is recovered at very large rapidity.

  12. The Cost of Conserved Energy As An Investment Statistic

    E-Print Network [OSTI]

    Meier, A. K.

    1984-01-01T23:59:59.000Z

    The cost of conserved energy (CCE) is an investment statistic that simplifies comparison of conservation measures among themselves and against competing energy supplies. A formula for calculating the cost of conserved energy formula is presented. A...

  13. Interim performance criteria for photovoltaic energy systems. [Glossary included

    SciTech Connect (OSTI)

    DeBlasio, R.; Forman, S.; Hogan, S.; Nuss, G.; Post, H.; Ross, R.; Schafft, H.

    1980-12-01T23:59:59.000Z

    This document is a response to the Photovoltaic Research, Development, and Demonstration Act of 1978 (P.L. 95-590) which required the generation of performance criteria for photovoltaic energy systems. Since the document is evolutionary and will be updated, the term interim is used. More than 50 experts in the photovoltaic field have contributed in the writing and review of the 179 performance criteria listed in this document. The performance criteria address characteristics of present-day photovoltaic systems that are of interest to manufacturers, government agencies, purchasers, and all others interested in various aspects of photovoltaic system performance and safety. The performance criteria apply to the system as a whole and to its possible subsystems: array, power conditioning, monitor and control, storage, cabling, and power distribution. They are further categorized according to the following performance attributes: electrical, thermal, mechanical/structural, safety, durability/reliability, installation/operation/maintenance, and building/site. Each criterion contains a statement of expected performance (nonprescriptive), a method of evaluation, and a commentary with further information or justification. Over 50 references for background information are also given. A glossary with definitions relevant to photovoltaic systems and a section on test methods are presented in the appendices. Twenty test methods are included to measure performance characteristics of the subsystem elements. These test methods and other parts of the document will be expanded or revised as future experience and needs dictate.

  14. FEMP Expands ESPC ENABLE Program to Include More Energy Conservation...

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

    new energy conservation measures (ECMs): solar photovoltaic (PV) and simple one-for-one heating, ventilation, and air conditioning (HVAC) system replacement (small building...

  15. Energy conservation, counting statistics, and return to equilibrium

    E-Print Network [OSTI]

    Jaksic, Vojkan

    Energy conservation, counting statistics, and return to equilibrium V. Jaksi´c1 , J. Panangaden1 lim t QS(, t), QR = lim 0 lim t QR(, t). As a consequence of energy conservation, we expect that QS

  16. Calibration in High-Energy Astrophysics Statistical Computation

    E-Print Network [OSTI]

    van Dyk, David

    : Effective area records sensitivity as a function of energy Energy redistribution matrix can vary with energy/location Point Spread Functions can vary with energy and location Exposure Map shows how effective area variesCalibration in High-Energy Astrophysics Statistical Computation Back to Calibration Uncertainty

  17. Including Retro-Commissioning in Federal Energy Savings Performance

    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 YourTransport(Fact Sheet),EnergyImprovement of theResponses to Public Comments onContracts |

  18. Including Retro-Commissioning in Federal Energy Savings Performance

    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 YourTransport(Fact Sheet),EnergyImprovement of theResponses to Public Comments onContracts

  19. Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development

    E-Print Network [OSTI]

    Angenent, Lars T.

    hydrocarbons such as natural gas. Whereas an over- all goal for the century is to achieve a sustainable system to increased use of unconventional gas resources as a result of declining supplies of conventional resources case study of energy transitions we focused on the case of un- conventional natural gas recovery from

  20. FEMP Expands ESPC ENABLE Program to Include More Energy Conservation

    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 YourTransport in Representative Geologic MediaTreatmentPROJECT-SPECIFIC PLAN8. REVIEW OF

  1. Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum

    E-Print Network [OSTI]

    J. D. Hague; B. R. Becker; M. S. Gold; J. A. J. Matthews

    2008-08-20T23:59:59.000Z

    In this paper un-binned statistical tools for analyzing the cosmic ray energy spectrum are developed and illustrated with a simulated data set. The methods are designed to extract accurate and precise model parameter estimators in the presence of statistical and systematic energy errors. Two robust methods are used to test for the presence of flux suppression at the highest energies: the Tail-Power statistic and a likelihood ratio test. Both tests give evidence of flux suppression in the simulated data. The tools presented can be generalized for use on any astrophysical data set where the power-law assumption is relevant and can be used to aid observational design.

  2. BP Statistical Review of World Energy

    E-Print Network [OSTI]

    Laughlin, Robert B.

    32 Reserves 32 Prices 34 Production 35 Consumption Nuclear energy 36 Consumption Hydroelectricity 38 Consumption Primary energy 40 Consumption 41 Consumption by fuel 43 R/P ratios Appendices 44 Approximate 1965 for many sections. · Additional data for natural gas, coal, hydroelectricity, nuclear energy

  3. Calibration in High-Energy Astrophysics Statistical Methods

    E-Print Network [OSTI]

    van Dyk, David

    Calibration in High-Energy Astrophysics Statistical Methods Empirical Illustrations Accounting for Calibration Uncertainty in High Energy Astrophysics David A. van Dyk1 Vinay Kashyap2 Taeyoung Park3 Jin Xu4 David A. van Dyk Accounting for Calibration Uncertainty #12;Calibration in High-Energy Astrophysics

  4. Bidding strategies for renewable energy generation with non stationary statistics

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    Bidding strategies for renewable energy generation with non stationary statistics A. Giannitrapani strategies to offer the maximum amount of energy while avoiding imbalance costs. Optimal bidding strategies to the integration of renewable energy sources into the electricity grid. This paper studies the problem

  5. Exhausting Battery Statistics Understanding the energy demands on mobile handsets

    E-Print Network [OSTI]

    Cambridge, University of

    energy models and resources managers designed for laptops [20] and data cen- ters [4] inapplicableExhausting Battery Statistics Understanding the energy demands on mobile handsets Narseo Vallina.surname@telekom.de ABSTRACT Despite the advances in battery technologies, mobile phones still suffer from severe energy

  6. Statistical Mechanics of Money, Income, Debt, and Energy Consumption

    E-Print Network [OSTI]

    Hill, Wendell T.

    Statistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented in financial markets. Globally, data analysis of energy consumption per capita around the world shows@american.edu Similarly to the probability distribution of energy in physics, the probability distribution of money among

  7. Equilibrium Statistical-Thermal Models in High-Energy Physics

    E-Print Network [OSTI]

    Abdel Nasser Tawfik

    2014-10-25T23:59:59.000Z

    We review some recent highlights from the applications of statistical-thermal models to different experimental measurements and lattice QCD thermodynamics, that have been made during the last decade. We start with a short review of the historical milestones on the path of constructing statistical-thermal models for heavy-ion physics. We discovered that Heinz Koppe formulated in 1948 an almost complete recipe for the statistical-thermal models. In 1950, Enrico Fermi generalized this statistical approach, in which he started with a general cross-section formula and inserted into it simplifying assumptions about the matrix element of the interaction process that likely reflects many features of the high-energy reactions dominated by density in the phase space of final states. In 1964, Hagedorn systematically analysed the high-energy phenomena using all tools of statistical physics and introduced the concept of limiting temperature based on the statistical bootstrap model. It turns to be quite often that many-particle systems can be studied with the help of statistical-thermal methods. The analysis of yield multiplicities in high-energy collisions gives an overwhelming evidence for the chemical equilibrium in the final state. The strange particles might be an exception, as they are suppressed at lower beam energies. However, their relative yields fulfill statistical equilibrium, as well. We review the equilibrium statistical-thermal models for particle production, fluctuations and collective flow in heavy-ion experiments. We also review their reproduction of the lattice QCD thermodynamics at vanishing and finite chemical potential. During the last decade, five conditions have been suggested to describe the universal behavior of the chemical freeze out parameters.

  8. VTPI-Transportation Statistics | 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 directedAnnualProperty Edit withTianlin BaxinUmwelt Management AGUserVHF Technologies SA aka

  9. Particle Energy Spectrum, Revisited from a Counting Statistics Perspective

    SciTech Connect (OSTI)

    None

    2012-07-28T23:59:59.000Z

    In nuclear science, gamma and neutron spectra are counted energy by energy, and then particle by particle. Until recently, few studies have been performed on how exactly those energy spectra are counted, or how those counts are correlated. Because of lack of investigation, cross section covariance and correlation matrices are usually estimated using perturbation method. We will discuss a statistical counting scheme that shall mimic the gamma and neutron counting process used in nuclear science. From this counting scheme, the cross section covariance and correlation can be statistically derived.

  10. International energy indicators. [International and US statistics

    SciTech Connect (OSTI)

    Bauer, E.K. (ed.)

    1980-03-01T23:59:59.000Z

    For the international sector, a table of data is first presented followed by corresponding graph of the data for the following: (1) Iran: crude oil capacity, production, and shut-in, 1974 to February 1980; (2) Saudi Arabia (same as Iran); (3) OPEC (ex-Iran and Saudi Arabia); capacity, production, and shut-in, 1974 to January 1980; (4) non-OPEC Free World and US production of crude oil, 1973 to January 1980; (5) oil stocks: Free World, US, Japan, and Europe (landed), 1973 to 1979; (6) petroleum consumption by industrial countries, 1973 to October 1979; (7) USSR crude oil production, 1974 to February 1980; (8) Free World and US nuclear generation capacity, 1973 to January 1980. For the United States, the same data format is used for the following: (a) US imports of crude oil and products 1973 to January 1980; (b) landed cost of Saudi Arabia crude oil in current and 1974 dollars, 1974 to October 1979; (c) US trade in coal, 1973 to 1979; (d) summary of US merchandise trade, 1976 to January 1980; and (e) US energy/GNP ratio (in 1972 dollars), 1947 to 1979.

  11. Damping Estimation of Plates for Statistical Energy Analysis

    E-Print Network [OSTI]

    Vatti, Kranthi

    2011-06-01T23:59:59.000Z

    .R.D.M. algorithm. Statistical Energy Analysis (S.E.A.), which is a natural extension of the Power Input Method, is used to evaluate coupling loss factors for two sets of plates, one set joined along a line and the other set joined at a point. Two alternative...

  12. Energy dissipation statistics in a shell model of turbulence

    E-Print Network [OSTI]

    G. Boffetta; A. Celani; D. Roagna

    1999-09-30T23:59:59.000Z

    The Reynolds number dependence of the statistics of energy dissipation is investigated in a shell model of fully developed turbulence. The results are in agreement with a model which accounts for fluctuations of the dissipative scale with the intensity of energy dissipation. It is shown that the assumption of a fixed dissipative scale leads to a different scaling with Reynolds which is not compatible with numerical results.

  13. Energy Information Administration Official Energy Statistics from the U.S. Government

    E-Print Network [OSTI]

    and Commercial Electric Power Petroleum-based liquids consumption is projected to be flat as biofuels use growsEnergy Information Administration Official Energy Statistics from the U.S. Government Annual Energy projected growth in energy consumption and emissions #12;3EIA Annual Energy Outlook 2009 Reference Case

  14. BP Statistical Review of World Energy | 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 directedAnnualProperty EditCalifornia: EnergyAvignon, France: Energy ResourcesBurleyBLMUSFWSBP EnergyEnergy

  15. FY 2014 Budget Request Statistical Table | 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 off Energy.gov. Are you sure you want toworldPowerHome |CookingFAQs FAQsStatistical Table FY 2014

  16. 2014 ENERGY AND ECONOMIC VALUE OF MUNICIPAL SOLID WASTE (MSW), INCLUDING NON-RECYCLED PLASTICS (NRP),

    E-Print Network [OSTI]

    Columbia University

    1 2014 ENERGY AND ECONOMIC VALUE OF MUNICIPAL SOLID WASTE (MSW), INCLUDING NON-RECYCLED PLASTICS #12;2 2014 ENERGY AND ECONOMIC VALUE OF MUNICIPAL SOLID WASTE (MSW), INCLUDING NON-RECYCLED PLASTICS-recycled plastics (NRP). The study presented in this Report is based on 2011 data, compiled in the EEC 2013 Survey

  17. OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION,

    E-Print Network [OSTI]

    Stanford University

    OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION, CO2 CAPTURE AND WIND A THESIS SUBMITTED TO THE DEPARTMENT OF ENERGY RESOURCES ENGINEERING OF STANFORD UNIVERSITY of Master of Science in Energy Resources Engineering. (Louis J. Durlofsky) Principal Co-Adviser I certify

  18. Accounting for the Energy Consumption of Personal Computing Including Portable Devices

    E-Print Network [OSTI]

    Namboodiri, Vinod

    Accounting for the Energy Consumption of Personal Computing Including Portable Devices Pavel.S.A vinod.namboodiri@wichita.edu ABSTRACT In light of the increased awareness of global energy consumption the share of energy consumption due to these equipment over the years, these have rarely characterized

  19. Statistics

    E-Print Network [OSTI]

    Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...

  20. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01T23:59:59.000Z

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  1. Key World Energy Statistics-2010 | 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 are8COaBulkTransmissionSitingProcess.pdfGetecGtelInteriasIowa:Washington: EnergyFacility | OpenBiscayne,West,

  2. Alignment of RNA molecules: Binding energy and statistical properties of random sequences

    SciTech Connect (OSTI)

    Valba, O. V., E-mail: valbaolga@gmail.com [Moscow Institute of Physics and Technology (State University) (Russian Federation); Nechaev, S. K., E-mail: sergei.nechaev@gmail.com [Universite Paris Sud, LPTMS (France); Tamm, M. V., E-mail: thumm.m@gmail.com [Moscow State University (Russian Federation)

    2012-02-15T23:59:59.000Z

    A new statistical approach to the problem of pairwise alignment of RNA sequences is proposed. The problem is analyzed for a pair of interacting polymers forming an RNA-like hierarchical cloverleaf structures. An alignment is characterized by the numbers of matches, mismatches, and gaps. A weight function is assigned to each alignment; this function is interpreted as a free energy taking into account both direct monomer-monomer interactions and a combinatorial contribution due to formation of various cloverleaf secondary structures. The binding free energy is determined for a pair of RNA molecules. Statistical properties are discussed, including fluctuations of the binding energy between a pair of RNA molecules and loop length distribution in a complex. Based on an analysis of the free energy per nucleotide pair complexes of random RNAs as a function of the number of nucleotide types c, a hypothesis is put forward about the exclusivity of the alphabet c = 4 used by nature.

  3. UN-Energy Statistics Database | 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 directedAnnualProperty Edit withTianlin Baxin HydropowerTrinityTurnbull HydroUK Centre for MarineUKEnergy

  4. Research on the Statistical Method of Energy Consumption for Public Buildings in China 

    E-Print Network [OSTI]

    Chen, S.; Li, N.

    2006-01-01T23:59:59.000Z

    The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system...

  5. Research on the Statistical Method of Energy Consumption for Public Buildings in China

    E-Print Network [OSTI]

    Chen, S.; Li, N.

    2006-01-01T23:59:59.000Z

    The purpose of this research is to develop a national statistical system for energy consumption data for public buildings in China, in order to provide data support for building energy efficiency work. The framework for a national statistical system...

  6. Terascale Physics Opportunities at a High Statistics, High Energy Neutrino Scattering Experiment: NuSOnG

    E-Print Network [OSTI]

    Adams, T.

    This article presents the physics case for a new high-energy, ultra-high statistics neutrino scattering

  7. Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy

    E-Print Network [OSTI]

    Ebeling, Werner

    Statistical distributions for Hamiltonian systems coupled to energy reservoirs and applications to molecular energy conversion W. Ebeling Institute of Physics, Humboldt-University, Newtonstr. 19, Berlin, Germany and Mark Kac Complex Systems Research Center, Jagellonian University, Reymonta 4, Krak´ow, Poland

  8. Heavy quark collisional energy loss in the quark-gluon plasma including finite relaxation time

    E-Print Network [OSTI]

    Mauro Elias; J. Peralta-Ramos; E. Calzetta

    2014-07-12T23:59:59.000Z

    In this paper, we calculate the soft-collisional energy loss of heavy quarks traversing the viscous quark-gluon plasma including the effects of a finite relaxation time $\\tau_\\pi$ on the energy loss. We find that the collisional energy loss depends appreciably on $\\tau_\\pi$ . In particular, for typical values of the viscosity-to-entropy ratio, we show that the energy loss obtained using $\\tau_\\pi$ = 0 can be $\\sim$ 10$\\%$ larger than the one obtained using $\\tau_\\pi$ = 0. Moreover, we find that the energy loss obtained using the kinetic theory expression for $\\tau_\\pi$ is much larger that the one obtained with the $\\tau_\\pi$ derived from the Anti de Sitter/Conformal Field Theory correspondence. Our results may be relevant in the modeling of heavy quark evolution through the quark-gluon plasma.

  9. Comment on Energy Level Statistics in the Mixed Regime

    E-Print Network [OSTI]

    Marko Robnik; Tomaz Prosen

    1997-06-23T23:59:59.000Z

    We comment on the recent paper by Abul-Magd (J.Phys.A: Math.Gen. 29 (1996) 1) concerning the energy level statistics in the mixed regime, i.e. such having the mixed classical dynamics where regular and chaotic regions coexist in the phase space. We point out that his basic assumption on the additive property of the level-repulsion function $r(S)$ (conditional probability density) in the sense of dividing it linearly into the regular and chaotic part in proportion to the classical fractional phase space volumes $\\rho_1$ and $\\rho_2=q$ is not justified, since among other things, it relies on the type of Berry's ergodic assumption, which however is right only in a homogeneous ensemble of ergodic systems, but not in the neighbourhood of an integrable system. Thus his resulting distribution cannot be regarded as a theoretically well founded object. We point out that the semiclassical limiting energy level spacing distribution must be of Berry-Robnik (1984) type, and explain what transitional behaviour of the Brody-type (with fractional power-law energy level repulsion) we observe in the near semiclassical regime where effective $\\hbar$ is not yet small enough. Thus we refer to the derivation, arguments and conclusions in our paper (Prosen and Robnik, J.Phys.A: Math.Gen. 26 (1994) 8059), and explain again the behaviour in this double transition region.

  10. Energy conservation, counting statistics, and return to equilibrium

    E-Print Network [OSTI]

    Vojkan Jaksic; Jane Panangaden; Annalisa Panati; Claude-Alain Pillet

    2014-09-30T23:59:59.000Z

    We study a microscopic Hamiltonian model describing an N-level quantum system S coupled to an infinitely extended thermal reservoir R. Initially, the system S is in an arbitrary state while the reservoir is in thermal equilibrium at temperature T. Assuming that the coupled system S+R is mixing with respect to the joint thermal equilibrium state, we study the Full Counting Statistics (FCS) of the energy transfers S->R and R->S in the process of return to equilibrium. The first FCS describes the increase of the energy of the system S. It is an atomic probability measure, denoted $P_{S,\\lambda,t}$, concentrated on the set of energy differences $\\sigma(H_S)-\\sigma(H_S)$ ($\\sigma(H_S)$ is the spectrum of the Hamiltonian of S, $t$ is the length of the time interval during which the measurement of the energy transfer is performed, and $\\lambda$ is the strength of the interaction between S and R). The second FCS, $P_{R,\\lambda,t}$, describes the decrease of the energy of the reservoir R and is typically a continuous probability measure whose support is the whole real line. We study the large time limit $t\\rightarrow\\infty$ of these two measures followed by the weak coupling limit $\\lambda\\rightarrow 0$ and prove that the limiting measures coincide. This result strengthens the first law of thermodynamics for open quantum systems. The proofs are based on modular theory of operator algebras and on a representation of $P_{R,\\lambda,t}$ by quantum transfer operators.

  11. Renormalization group approach to energy level statistics at the integer quantum Hall transition

    E-Print Network [OSTI]

    Chemnitz, Technische Universität

    Renormalization group approach to energy level statistics at the integer quantum Hall transition) approach to study the energy level statistics at the integer quantum Hall (QH) transition. Within the RG, at the transition, the nearest neighbor energy level spacing distribution (LSD) exhibits well-pronounced level

  12. UNDERSTANDING MANUFACTURING ENERGY USE THROUGH STATISTICAL ANALYSIS KELLY KISSOCK AND JOHN SERYAK

    E-Print Network [OSTI]

    Kissock, Kelly

    , OHIO ABSTRACT Energy in manufacturing facilities is used for direct production of goods, spaceUNDERSTANDING MANUFACTURING ENERGY USE THROUGH STATISTICAL ANALYSIS KELLY KISSOCK AND JOHN SERYAK for statistically analyzing plant energy use in terms of these major end uses. The methodology uses as few as 60

  13. ENTROPY: A COUNTERPART IN STATISTICAL ENERGY A. Le Bot, A. Carbonelli, J. Perret-Liaudet

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to the energy level. ICSV18, 10­14 July 2011, Rio de Janeiro, Brazil 1 #12;18th International Congress on SoundENTROPY: A COUNTERPART IN STATISTICAL ENERGY ANALYSIS A. Le Bot, A. Carbonelli, J. Perret. Statistical energy analysis (SEA) is the most famous method intended to prediction of sound and vibration

  14. Energy-density-functional calculations including the proton-neutron mixing

    E-Print Network [OSTI]

    Koichi Sato; Jacek Dobaczewski; Takashi Nakatsukasa; Wojciech Satu?a

    2013-08-08T23:59:59.000Z

    We present results of calculations based on the Skyrme energy density functional including the arbitrary mixing between protons and neutrons. In this framework, single-particle states are superpositions of proton and neutron components and the energy density functional is fully invariant with respect to three-dimensional rotations in the isospin space. The isospin of the system is controlled by means of the isocranking method, which carries over the standard cranking approach to the isospin space. We show numerical results of the isocranking calculations performed for isobaric analogue states in the A=14 and $A=40-56$ nuclei. We also present such results obtained for high-isospin states in $^{48}$Cr, with constraints on the isospin implemented by using the augmented Lagrange method.

  15. J. Phys. II France 6 (1996) 477-491 APRIL 1996, PAGE 477 A Simple Statistical Mechanical Approach to the Free Energy of

    E-Print Network [OSTI]

    Boyer, Edmond

    to the Free Energy of the Electric Double Layer Including the Excluded Volume Elsect Veronika Kralj statistical mechanical approach is applied to derive an expres- sion for the free energy of a single electric volume effect. The calculated free energy of an univalent electrolyte is compared to the corresponding

  16. Abstract-A hybrid cascaded multilevel inverter application for renewable energy resources including a reconfiguration

    E-Print Network [OSTI]

    Tolbert, Leon M.

    Abstract- A hybrid cascaded multilevel inverter application for renewable energy resources interfacing with renewable energy resources. I. INTRODUCTION Renewable energy resources (RES) have had specially, in renewable energy applications, a cascaded H-bridge multilevel inverter can be applied

  17. Low-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration

    E-Print Network [OSTI]

    Fessler, Jeffrey A.

    1 Low-Dose Dual-Energy CT for PET Attenuation Correction with Statistical Sinogram Restoration. of Michigan & Univ. of Washington Outline Introduction - PET/CT background - CT-based attenuation correction for PET Conventional sinogram decomposition in DE-CT Statistically motivated sinogram restoration in DE

  18. Relativistic calculation of the pion loop correlation energy in nuclear matter in a theory including confinement

    E-Print Network [OSTI]

    Boyer, Edmond

    Relativistic calculation of the pion loop correlation energy in nuclear matter in a theory of nuclear matter which contains the correlation energy. Pion loops are incorporated on top of a relativistic for the correlation energy is the Landau-Migdal parameter g governing the short-range part of the spin- isospin

  19. Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models

    E-Print Network [OSTI]

    Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models 2011 # Springer Science+Business Media B.V. 2011 Abstract In energy-economy modeling, new hybrid models) backcasting a hybrid energy- economy model over a historical time period; and (3) the application of Markov

  20. Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad CatĂłlica de Chile)

    Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara December 2010 Keywords: Wind Wind speed Energy Capacity factor Electricity Chile a b s t r a c t Bearing has been remarkably influenced by new requirements e the search for new energy supply sources has

  1. Energy star compliant voice over internet protocol (VoIP) telecommunications network including energy star compliant VoIP devices

    DOE Patents [OSTI]

    Kouchri, Farrokh Mohammadzadeh

    2012-11-06T23:59:59.000Z

    A Voice over Internet Protocol (VoIP) communications system, a method of managing a communications network in such a system and a program product therefore. The system/network includes an ENERGY STAR (E-star) aware softswitch and E-star compliant communications devices at system endpoints. The E-star aware softswitch allows E-star compliant communications devices to enter and remain in power saving mode. The E-star aware softswitch spools messages and forwards only selected messages (e.g., calls) to the devices in power saving mode. When the E-star compliant communications devices exit power saving mode, the E-star aware softswitch forwards spooled messages.

  2. Canadian National Energy Use Database: Statistics and Analysis | Open

    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 inOpen EnergyCallaway ElectricCambridge FundsCampa

  3. Opportunities in the Fusion Energy Sciences Program [Includes Appendix C: Topical Areas Characterization

    SciTech Connect (OSTI)

    None

    1999-06-01T23:59:59.000Z

    Recent years have brought dramatic advances in the scientific understanding of fusion plasmas and in the generation of fusion power in the laboratory. Today, there is little doubt that fusion energy production is feasible. The challenge is to make fusion energy practical. As a result of the advances of the last few years, there are now exciting opportunities to optimize fusion systems so that an attractive new energy source will be available when it may be needed in the middle of the next century. The risk of conflicts arising from energy shortages and supply cutoffs, as well as the risk of severe environmental impacts from existing methods of energy production, are among the reasons to pursue these opportunities.

  4. 32. Statistics 1 32. STATISTICS

    E-Print Network [OSTI]

    Masci, Frank

    32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using's validity or to determine the values of its parameters. There are two main approaches to statistical

  5. International Monetary Fund-Data and Statistics | 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 are8COaBulkTransmissionSitingProcess.pdfGetecGtelInterias Solar Energy Jump to:IES Jump to: navigation,Maritime

  6. IRF-World Road Statistics | 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 | OpenHunan Runhua New Energy DevelopmentListIIFCIINTACommunity

  7. Jet quenching with running coupling including radiative and collisional energy losses

    E-Print Network [OSTI]

    B. G. Zakharov

    2008-11-05T23:59:59.000Z

    We calculate the nuclear modification factor for RHIC and LHC conditions accounting for the radiative and collisional parton energy loss with the running coupling constant.We find that the RHIC data can be explained both in the scenario with the chemically equilibrium quark-gluon plasma and purely gluonic plasma with slightly different thermal suppression of the coupling constant. The role of the parton energy gain due to gluon absorption is also investigated. Our results show that the energy gain gives negligible effect.

  8. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses8 End1.

  9. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses8

  10. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses85 End

  11. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses85 End6

  12. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses85 End65

  13. Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case

    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: navigation, searchOf Kilauea Volcano, Hawaii | Open EnergyIGPIntevac Jump to:WindStudy)Study)

  14. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses85

  15. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses855 End

  16. " Row: End Uses;" " Column: Energy Sources, including Net Electricity;"

    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 Uses855 End6

  17. The general Service raet PG for Xcel energy in denver is not included |

    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-f <MaintainedInformation 2EnergyCityGreenElectricityOpen|OpenEI

  18. CEBAF energy upgrade program including re-work of CEBAF cavities

    SciTech Connect (OSTI)

    Joseph Preble

    2008-02-12T23:59:59.000Z

    The Thomas Jefferson National Accelerator Facility, Jefferson Lab, is planning an upgrade of the CEBAF accelerator from a maximum energy of 6 GeV to 12 GeV and from 3 to 4 experimental halls. This paper will discuss the plans for upgrading the energy of the machine which requires improvements of the existing Super Conducting Radio Frequency (SRF) cryomodules and the additions of ten newly designed high performance SRF cryomodules.

  19. High-energy scattering in the saturation regime including running coupling and rare fluctuation effects

    SciTech Connect (OSTI)

    Xiang Wenchang [Fakultaet fuer Physik, Universitaet Bielefeld, D-33501 Bielefeld (Germany)

    2009-01-01T23:59:59.000Z

    The analytic form of the asymptotic behavior of the S matrix in the saturation regime including the running coupling is obtained. To get this result, we solve the Balitsky and Kovchegov-Weigert evolution equations in the saturation regime, which include running coupling corrections. We study also the effect of rare fluctuations on top of the running coupling. We find that the rare fluctuations are less important in the running coupling case as compared to the fixed coupling case.

  20. High energy scattering in the saturation regime including running coupling and rare fluctuation effects

    E-Print Network [OSTI]

    Wenchang Xiang

    2008-09-16T23:59:59.000Z

    The analytic result for the $S$-matrix in the saturation regime including the running coupling is obtained. To get this result we solve the Balitsky and Kovchegov-Weigert evolution equations in the saturation regime, which include running coupling corrections. We study also the effect of rare fluctuations on top of the running coupling. We find that the rare fluctuations are less important in the running coupling case as compared to the fixed coupling case.

  1. Generalizations of quantum statistics

    E-Print Network [OSTI]

    O. W. Greenberg

    2008-05-02T23:59:59.000Z

    We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.

  2. QCD Precision Measurements and Structure Function Extraction at a High Statistics, High Energy Neutrino Scattering Experiment: NuSOnG

    SciTech Connect (OSTI)

    Adams, T.; /Florida State U.; Batra, P.; /Columbia U.; Bugel, Leonard G.; /Columbia U.; Camilleri, Leslie Loris; /Columbia U.; Conrad, Janet Marie; /MIT; de Gouvea, A.; /Northwestern U.; Fisher, Peter H.; /MIT; Formaggio, Joseph Angelo; /MIT; Jenkins, J.; /Northwestern U.; Karagiorgi, Georgia S.; /MIT; Kobilarcik, T.R.; /Fermilab /Texas U.

    2009-06-01T23:59:59.000Z

    We extend the physics case for a new high-energy, ultra-high statistics neutrino scattering experiment, NuSOnG (Neutrino Scattering On Glass) to address a variety of issues including precision QCD measurements, extraction of structure functions, and the derived Parton Distribution Functions (PDFs). This experiment uses a Tevatron-based neutrino beam to obtain a sample of Deep Inelastic Scattering (DIS) events which is over two orders of magnitude larger than past samples. We outline an innovative method for fitting the structure functions using a parameterized energy shift which yields reduced systematic uncertainties. High statistics measurements, in combination with improved systematics, will enable NuSOnG to perform discerning tests of fundamental Standard Model parameters as we search for deviations which may hint of 'Beyond the Standard Model' physics.

  3. The Cost of Conserved Energy As An Investment Statistic 

    E-Print Network [OSTI]

    Meier, A. K.

    1984-01-01T23:59:59.000Z

    , the problem of disco~nt? 636 ESL-IE-84-04-109 Proceedings from the Sixth Annual Industrial Energy Technology Conference Volume II, Houston, TX, April 15-18, 1984 ing, this yields, cost of saving $3000 a kilowa tt-hour 4 cents/kWh 75,000 kWh This number... fuel price escalation rates. Thes~ are plotted in Figure 1. The comparison prices are 638 ESL-IE-84-04-109 Proceedings from the Sixth Annual Industrial Energy Technology Conference Volume II, Houston, TX, April 15-18, 1984 expressed in terms...

  4. U.S. Energy Information Administration Independent Statistics & Analysis

    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'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-ZandofpointDOEFeb.Analysis &New York

  5. U.S. Energy Information Administration Independent Statistics & Analysis

    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'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-ZandofpointDOEFeb.Analysis &New YorkJune

  6. U.S. Energy Information Administration Independent Statistics & Analysis

    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'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-ZandofpointDOEFeb.Analysis &New

  7. WHO Statistical Information System (WHOSIS) | 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,planningFlowmeterUtah:InformationInformation WC 26WHL

  8. The Fall Meeting of the Committee on Energy Statistics

    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,1Stocks Nov-14Total DeliveredPrincipalNumber ofTexas-Louisiana-* * * *

  9. RITA-Bureau of Transportation Statistics | 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 directedAnnualProperty Edit with form History Facebook iconQuito,Jump to: navigation,REpower NorthRGE

  10. Baseballs and Barrels: World Statistics Day | 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: The FutureComments fromof EnergyBILIWG:Background:BagdadBaseballs and Barrels:

  11. UN-Glossary for Transportation Statistics | 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 directedAnnualProperty Edit withTianlin Baxin HydropowerTrinityTurnbull HydroUK Centre for

  12. EU Pocketbook - European Vehicle Market Statistics | Open Energy

    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 directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| Open Jump to:(RES-AEI) | Open

  13. Decision-maker's guide to wood fuel for small industrial energy users. Final report. [Includes glossary

    SciTech Connect (OSTI)

    Levi, M. P.; O'Grady, M. J.

    1980-02-01T23:59:59.000Z

    The technology and economics of various wood energy systems available to the small industrial and commercial energy user are considered. This book is designed to help a plant manager, engineer, or others in a decision-making role to become more familiar with wood fuel systems and make informed decisions about switching to wood as a fuel. The following subjects are discussed: wood combustion, pelletized wood, fuel storage, fuel handling and preparation, combustion equipment, retrofitting fossil-fueled boilers, cogeneration, pollution abatement, and economic considerations of wood fuel use. (MHR)

  14. Property:Number of Plants Included in Planned Estimate | Open Energy

    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 Jump to: navigation,ProjectStartDateProperty Edit withTieredDoc

  15. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    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 Table 8.4337

  16. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    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 Table 8.4337

  17. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    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 Table

  18. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    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 Table6 End

  19. Property:Number of Plants included in Capacity Estimate | Open Energy

    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 I Geothermal PwerPerkins County, Nebraska:PrecourtOid JumpEligSysSizeNbrGeneratingUnitsBuild Out

  20. A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based on Large Datasets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Parallel Statistical Learning Approach to the Prediction of Building Energy Consumption Based consumption of buildings based on historical performances is an important approach to achieve energy efficiency. A simulation method is here introduced to obtain sufficient clean historical consumption data

  1. Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle

    E-Print Network [OSTI]

    Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle M a high efficiency energy management control strategy for a hybrid fuel cell vehicle. The proposed the model of a real hybrid car, "Smile" developed by FAAM, using a stack of fuel cells as the primary power

  2. Energy Department Expands Gas Gouging Reporting System to Include 1-800

    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 |in STEM Education |Department ofDepartment

  3. Baseballs and Barrels: World Statistics Day | 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 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovember 13, 2009Oak Ridge NationalBackgroundDr. Richard Newell

  4. Sandia Energy - Statistical Mechanics with Density Functional Theory

    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 Sol Home Distribution GridDocumentsInstitute ofSitingStaff Home DETLStandards

  5. An overview of component qualification using Bayesian statistics and energy

    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 Office511041cloth DocumentationProductsAlternative FuelsSanta FeAuthorization| Ironmethods. | SciTech

  6. Energy Department Expands Gas Gouging Reporting System to Include 1-800

    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|6721 Federal Register /ofConcentratingDepartment of Energy July

  7. 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

  8. 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

  9. Comparison of International Energy Intensities across the G7 and other parts of Europe, including Ukraine

    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 Year-0E (2001)gasoline prices4Consumption TheX I A OCompany

  10. Figure ES5. Actual Annual Energy Growth - All Effects Are Included

    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 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves,Light-Duty Vehicles,ES5

  11. Laser ablation of electronic materials including the effects of energy coupling and plasma interactions

    SciTech Connect (OSTI)

    Zeng, Xianzhong

    2004-12-10T23:59:59.000Z

    Many laser ablation applications such as laser drilling and micromachining generate cavity structures. The study of laser ablation inside a cavity is of both fundamental and practical significance. In this dissertation, cavities with different aspect ratios (depth/diameter) were fabricated in fused silica by laser micromachining. Pulsed laser ablation in the cavities was studied and compared with laser ablation on a flat surface. The formation of laser-induced plasmas in the cavities and the effects of the cavities on the ablation processes were investigated. The temperatures and electron number densities of the resulting laser-induced plasmas in the cavities were determined from spectroscopic measurements. Reflection and confinement effects by the cavity walls and plasma shielding were discussed to explain the increased temperature and electron number density with respect to increasing cavity aspect ratio. The temporal variations of the plasma temperature and electron number density inside the cavity decreased more rapidly than outside the cavity. The effect of laser energy on formation of a plasma inside a cavity was also investigated. Propagation of the shock wave generated during pulsed laser ablation in cavities was measured using laser shadowgraph imaging and compared with laser ablation on a flat surface. It is found that outside the cavity, after about 30 ns the radius of the expanding shock wave was proportional to t2/5, which corresponds to a spherical blast wave. The calculated pressures and temperatures of the shocked air outside of the cavities were higher than those obtained on the flat surface. Lasers with femtosecond pulse duration are receiving much attention for direct fabrication of microstructures due to their capabilities of high-precision ablation with minimal damage to the sample. We have also performed experimental studies of pulsed femtosecond laser ablation on the flat surface of silicon samples and compared results with pulsed nanosecond laser ablation at a ultraviolet wavelength (266 nm). Crater depth measurements indicated that ablation efficiency was enhanced for UV femtosecond laser pulses. The electron number densities and temperatures of femtosecond-pulse plasmas decreased faster than nanosecond-pulse plasmas due to different energy deposition mechanisms. Plasma expansion in both the perpendicular and the lateral directions were studied.

  12. Annual energy review 1996

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This report presents historical energy statistics on all major energy activities. The statistics cover consumption, production, trade, stock, and prices, for all major energy commodities including fossil fuels, electricity, and renewable energy sources.

  13. Far-reaching statistical consequences of the zero-point energy for the harmonic oscillator

    E-Print Network [OSTI]

    Luis de la Pena; Andrea Valdes-Hernandez; Ana Maria Cetto

    2007-12-12T23:59:59.000Z

    In a recent thermodynamic analysis of the harmonic oscillator and using an interpolation procedure, Boyer has shown that the existence of a zero-point energy leads to the Planck spectrum. Here we avoid the interpolation by adding a statistical argument to arrive at Planck's law as an inescapable result of the presence of the zero-point energy. No explicit quantum argument is introduced along the derivations. We disclose the connection of our results with the original analysis of Planck and Einstein, which led to the notion of the quantized radiation field. We then inquire into the discrete or continuous behaviour of the energy and pinpoint the discontinuities. Finally, to open the door to the description of the zero-point fluctuations, we briefly discuss the statistical (in contrast to the purely thermodynamic) description of the oscillator, which accounts for both thermal and temperature-independent contributions to the energy dispersion.

  14. Level statistics and eigenfunctions of pseudointegrable systems: dependence on energy and genus number

    E-Print Network [OSTI]

    Yuriy Hlushchuk; Stefanie Russ

    2003-07-29T23:59:59.000Z

    We study the level statistics (second half moment $I_0$ and rigidity $\\Delta_3$) and the eigenfunctions of pseudointegrable systems with rough boundaries of different genus numbers $g$. We find that the levels form energy intervals with a characteristic behavior of the level statistics and the eigenfunctions in each interval. At low enough energies, the boundary roughness is not resolved and accordingly, the eigenfunctions are quite regular functions and the level statistics shows Poisson-like behavior. At higher energies, the level statistics of most systems moves from Poisson-like towards Wigner-like behavior with increasing $g$. Investigating the wavefunctions, we find many chaotic functions that can be described as a random superposition of regular wavefunctions. The amplitude distribution $P(\\psi)$ of these chaotic functions was found to be Gaussian with the typical value of the localization volume $V_{\\rm{loc}}\\approx 0.33$. For systems with periodic boundaries we find several additional energy regimes, where $I_0$ is relatively close to the Poisson-limit. In these regimes, the eigenfunctions are either regular or localized functions, where $P(\\psi)$ is close to the distribution of a sine or cosine function in the first case and strongly peaked in the second case. Also an interesting intermediate case between chaotic and localized eigenfunctions appears.

  15. An Exact Modeling of Signal Statistics in Energy-integrating X-ray Computed Tomography

    E-Print Network [OSTI]

    An Exact Modeling of Signal Statistics in Energy-integrating X-ray Computed Tomography Yi Fan1 used by modern computed tomography (CT) scanners and has been an interesting research topic 1. INTRODUCTION In x-ray computed tomography (CT), Poisson noise model has been widely used in noise

  16. Statistical properties of the energy exchanged between two heat baths coupled by thermal fluctuations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    particles kept at different temperatures and coupled by an elastic force. We measure the heat flowingStatistical properties of the energy exchanged between two heat baths coupled by thermal systems in contact with a single heat bath and driven out of equilibrium by external forces [1, 2, 3, 4, 5

  17. Numerical power balance and free energy loss analysis for solar cells including optical, thermodynamic, and electrical aspects

    SciTech Connect (OSTI)

    Greulich, Johannes, E-mail: johannes.greulich@ise.fraunhofer.de; Höffler, Hannes; Würfel, Uli; Rein, Stefan [Fraunhofer Institute for Solar Energy Systems, Heidenhofstr. 2, D-79110 Freiburg (Germany)

    2013-11-28T23:59:59.000Z

    A method for analyzing the power losses of solar cells is presented, supplying a complete balance of the incident power, the optical, thermodynamic, and electrical power losses and the electrical output power. The involved quantities have the dimension of a power density (units: W/m{sup 2}), which permits their direct comparison. In order to avoid the over-representation of losses arising from the ultraviolet part of the solar spectrum, a method for the analysis of the electrical free energy losses is extended to include optical losses. This extended analysis does not focus on the incident solar power of, e.g., 1000?W/m{sup 2} and does not explicitly include the thermalization losses and losses due to the generation of entropy. Instead, the usable power, i.e., the free energy or electro-chemical potential of the electron-hole pairs is set as reference value, thereby, overcoming the ambiguities of the power balance. Both methods, the power balance and the free energy loss analysis, are carried out exemplarily for a monocrystalline p-type silicon metal wrap through solar cell with passivated emitter and rear (MWT-PERC) based on optical and electrical measurements and numerical modeling. The methods give interesting insights in photovoltaic (PV) energy conversion, provide quantitative analyses of all loss mechanisms, and supply the basis for the systematic technological improvement of the device.

  18. Low-energy cutoffs in electron spectra of solar flares: statistical survey

    E-Print Network [OSTI]

    E. P. Kontar; E. Dickson; J. Kasparova

    2008-05-21T23:59:59.000Z

    The Ramaty High Energy Solar Spectroscopic Imager (RHESSI) X-ray data base (February 2002 -- May 2006) has been searched to find solar flares with weak thermal components and flat photon spectra. Using a regularised inversion technique, we determine the mean electron flux distribution from count spectra of a selection of events with flat photon spectra in the 15--20 keV energy range. Such spectral behaviour is expected for photon spectra either affected by photospheric albedo or produced by electron spectra with an absence of electrons in a given energy range, e.g. a low-energy cutoff in the mean electron spectra of non-themal particles. We have found 18 cases which exhibit a statistically significant local minimum (a dip) in the range of 10--20 keV. The positions and spectral indices of events with low-energy cutoff indicate that such features are likely to be the result of photospheric albedo. It is shown that if the isotropic albedo correction was applied, all low-energy cutoffs in the mean electron spectrum were removed and hence the low energy cutoffs in the mean electron spectrum of solar flares above $\\sim$12 keV cannot be viewed as real features in the electron spectrum. If low-energy cutoffs exist in the mean electron spectra, the energy of low energy cutoffs should be less than $\\sim$12 keV.

  19. Equilibrium statistical mechanics and energy partition for the shallow water model

    E-Print Network [OSTI]

    Renaud, Antoine; Bouchet, Freddy

    2015-01-01T23:59:59.000Z

    The aim of this paper is to use large deviation theory in order to compute the entropy of macrostates for the microcanonical measure of the shallow water system. The main prediction of this full statistical mechanics computation is the energy partition between a large scale vortical flow and small scale fluctuations related to inertia-gravity waves. We introduce for that purpose a discretized model of the continuous shallow water system, and compute the corresponding statistical equilibria. We argue that microcanonical equilibrium states of the discretized model in the continuous limit are equilibrium states of the actual shallow water system. We show that the presence of small scale fluctuations selects a subclass of equilibria among the states that were previously computed by phenomenological approaches that were neglecting such fluctuations. In the limit of weak height fluctuations, the equilibrium state can be interpreted as two subsystems in thermal contact: one subsystem corresponds to the large scale v...

  20. Statistical analysis of Multi-Material Components using Dual Energy CT Christoph Heinzl, Johann Kastner, Torsten Moller, and Eduard Groller

    E-Print Network [OSTI]

    Statistical analysis of Multi-Material Components using Dual Energy CT Christoph Heinzl, Johann plastics-metal components. The presented work makes use of dual energy CT data acquisi- tion for artefact pipeline based on the dual ex- posure technique of dual energy CT. After prefilter- ing and multi

  1. Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing

    E-Print Network [OSTI]

    Chen, J; Collins, Ro.; Gao, G.; Schaffer, D.; Wu, J.

    2014-01-01T23:59:59.000Z

    level • Body Weld – little statistical difference between plants ? Fixed • Plant A best overall • Plant D and Plant E generally worse ESL-IE-14-05-06 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014... 20-23, 2014 Shop Efficiency Rankings - Variable Electricity Paint Assembly Body Weld Plastic Stamp 1 Plant A Plant D Plant C Plant C Plant C 2 Plant E Plant E Plant D Plant A Plant E 3 Plant C Plant A Plant F Plant E Plant A 4 Plant D Plant C Plant A...

  2. Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing 

    E-Print Network [OSTI]

    Chen, J; Collins, Ro.; Gao, G.; Schaffer, D.; Wu, J.

    2014-01-01T23:59:59.000Z

    level • Body Weld – little statistical difference between plants ? Fixed • Plant A best overall • Plant D and Plant E generally worse ESL-IE-14-05-06 Proceedings of the Thrity-Sixth Industrial Energy Technology Conference New Orleans, LA. May 20-23, 2014... 20-23, 2014 Shop Efficiency Rankings - Variable Electricity Paint Assembly Body Weld Plastic Stamp 1 Plant A Plant D Plant C Plant C Plant C 2 Plant E Plant E Plant D Plant A Plant E 3 Plant C Plant A Plant F Plant E Plant A 4 Plant D Plant C Plant A...

  3. Annual Energy Review, 2008

    SciTech Connect (OSTI)

    None

    2009-06-01T23:59:59.000Z

    The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions.

  4. Beam energy and centrality dependence of the statistical moments of the net-charge and net-kaon multiplicity distributions in Au+Au collisions at STAR

    E-Print Network [OSTI]

    Daniel McDonald; for the STAR Collaboration

    2012-10-26T23:59:59.000Z

    In part to search for a possible critical point (CP) in the phase diagram of hot nuclear matter, a Beam Energy Scan was performed at the Relativistic Heavy-Ion Collider at Brookhaven National Laboratory. The STAR experiment collected significant Au+Au data sets at beam energies, $\\sqrt{{\\rm s}_{\\rm NN}}$, of 7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV. Lattice and phenomenological calculations suggest that the presence of a CP might result in divergences of the thermodynamic susceptibilities and correlation length. The statistical moments of the multiplicity distributions of particles reflecting conserved quantities, such as net-charge and net-strangeness, are expected to depend sensitively on these correlation lengths, making them attractive tools in the search for a possible critical point. The centrality and beam-energy dependence of the statistical moments of the net-charge multiplicity distributions will be discussed. The observables studied include the lowest four statistical moments (mean, variance, skewness, kurtosis) and the products of these moments. The measured moments of the net-kaon multiplicity distributions will also be presented. These will be compared to the predictions from approaches lacking critical behavior, such as the Hadron Resonance Gas model and Poisson statistics.

  5. Statistical Model Analysis of (n,p) Cross Sections and Average Energy For Fission Neutron Spectrum

    SciTech Connect (OSTI)

    Odsuren, M.; Khuukhenkhuu, G. [Nuclear Research Center, National University of Mongolia, Ulaanbaatar (Mongolia)

    2011-06-28T23:59:59.000Z

    Investigation of charged particle emission reaction cross sections for fast neutrons is important to both nuclear reactor technology and the understanding of nuclear reaction mechanisms. In particular, the study of (n,p) cross sections is necessary to estimate radiation damage due to hydrogen production, nuclear heating and transmutations in the structural materials of fission and fusion reactors. On the other hand, it is often necessary in practice to evaluate the neutron cross sections of the nuclides for which no experimental data are available.Because of this, we carried out the systematical analysis of known experimental (n,p) and (n,a) cross sections for fast neutrons and observed a systematical regularity in the wide energy interval of 6-20 MeV and for broad mass range of target nuclei. To explain this effect using the compound, pre-equilibrium and direct reaction mechanisms some formulae were deduced. In this paper, in the framework of the statistical model known experimental (n,p) cross sections averaged over the thermal fission neutron spectrum of U-235 are analyzed. It was shown that the experimental data are satisfactorily described by the statistical model. Also, in the case of (n,p) cross sections the effective average neutron energy for fission spectrum of U-235 was found to be around 3 MeV.

  6. Title: Designing Energy-Efficient Information Processing Systems Abstract: The semiconductor industry is facing some extraordinary challenges, including process and

    E-Print Network [OSTI]

    Title: Designing Energy-Efficient Information Processing Systems Abstract: The semiconductor. It is against this backdrop that I provide examples of some techniques used to improve the energy efficiency's research focuses on energy-efficient computing, energy storage systems, low power electronics and design

  7. 1979 DOE statistical symposium

    SciTech Connect (OSTI)

    Gardiner, D.A.; Truett T. (comps. and eds.)

    1980-09-01T23:59:59.000Z

    The 1979 DOE Statistical Symposium was the fifth in the series of annual symposia designed to bring together statisticians and other interested parties who are actively engaged in helping to solve the nation's energy problems. The program included presentations of technical papers centered around exploration and disposal of nuclear fuel, general energy-related topics, and health-related issues, and workshops on model evaluation, risk analysis, analysis of large data sets, and resource estimation.

  8. Figure ES1. Schema for Estimating Energy and Energy-Related Statistics,

    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 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, WetGasCubic38.2001 ES1

  9. Simple Formula for the Optimization of the FEL Gain Length Including the Effects of Emittance, Betatron Oscillations and Energy Spread

    E-Print Network [OSTI]

    Chin, Y.H.

    2011-01-01T23:59:59.000Z

    for a quick estimate of the FEL parameters which minimizefor the Optimization of the FEL Gain Length Including thet h e Optimization o f the FEL Gain Length Including t h e

  10. Monthly energy review, January 1992

    SciTech Connect (OSTI)

    Not Available

    1992-01-28T23:59:59.000Z

    Monthly Energy Review contains statistical information on energy sources including petroleum, natural gas, coal and nuclear energy. Information on energy consumption, oil and gas resource development, electricity, energy prices and international energy is provided. (VC)

  11. Monthly Energy Review

    SciTech Connect (OSTI)

    NONE

    1996-05-28T23:59:59.000Z

    This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

  12. Electric Power Monthly, August 1990. [Glossary included

    SciTech Connect (OSTI)

    Not Available

    1990-11-29T23:59:59.000Z

    The Electric Power Monthly (EPM) presents monthly summaries of electric utility statistics at the national, Census division, and State level. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data includes generation by energy source (coal, oil, gas, hydroelectric, and nuclear); generation by region; consumption of fossil fuels for power generation; sales of electric power, cost data; and unusual occurrences. A glossary is included.

  13. Persistent energy flow for a stochastic wave equation model in nonequilibrium statistical mechanics

    E-Print Network [OSTI]

    Lawrence E. Thomas

    2012-04-29T23:59:59.000Z

    We consider a one-dimensional partial differential equation system modeling heat flow around a ring. The system includes a Klein-Gordon wave equation for a field satisfying spatial periodic boundary conditions, as well as Ornstein-Uhlenbeck stochastic differential equations with finite rank dissipation and stochastic driving terms modeling heat baths. There is an energy flow around the ring. In the case of a linear field with different (fixed) bath temperatures, the energy flow can persist even when the interaction with the baths is turned off. A simple example is given.

  14. Statistical mechanics model for the transit free energy of monatomic liquids

    E-Print Network [OSTI]

    Duane C. Wallace; Eric D. Chisolm; N. Bock; G. De Lorenzi-Venneri

    2010-04-19T23:59:59.000Z

    In applying Vibration-Transit (V-T) theory of liquid dynamics to the thermodynamic properties of monatomic liquids, the point has been reached where an improved model is needed for the small (approx. 10%) transit contribution. Toward this goal, an analysis of the available high-temperature experimental entropy data for elemental liquids was recently completed [D. C. Wallace, E. D. Chisolm, and N. Bock, Phys. Rev. B 79, 051201 (2009)]. This analysis yields a common curve of transit entropy vs. T/\\theta_{tr}, where T is temperature and \\theta_{tr} is a scaling temperature for each element. In the present paper, a statistical mechanics model is constructed for the transit partition function, and is calibrated to the experimental transit entropy curve. The model has two scalar parameters, and captures the temperature scaling of experiment. The calibrated model fits the experimental liquid entropy to high accuracy at all temperatures. With no additional parameters, the model also agrees with both experiment and molecular dynamics for the internal energy vs. T for Na. With the calibrated transit model, V-T theory provides equations subject to ab initio evaluation for thermodynamic properties of monatomic liquids. This will allow the range of applicability of the theory, and its overall accuracy, to be determined. More generally, the hypothesis of V-T theory, which divides the many-atom potential energy valleys into random and symmetric classes, can also be tested for its application beyond monatomic systems.

  15. Monthly energy review, January 1998

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

  16. Our lab focuses on materials durability in extreme environments for energy, power, and propulsion applications. Current research interests include

    E-Print Network [OSTI]

    Acton, Scott

    applications. Current research interests include oxidation and corrosion of ceramics and ceramic matrix-the-art capabilities in isotopic mapping by Time-of-Flight Secondary Ion Mass Spectrometry. Ceramic Matrix Composites for Combustion Applications SiC-based Ceramic Matrix Composites are currently under development for turbine

  17. Hawaii Energy Resource Overviews. Volume 4. Impact of geothermal resource development in Hawaii (including air and water quality)

    SciTech Connect (OSTI)

    Siegel, S.M.; Siegel, B.Z.

    1980-06-01T23:59:59.000Z

    The environmental consequences of natural processes in a volcanic-fumerolic region and of geothermal resource development are presented. These include acute ecological effects, toxic gas emissions during non-eruptive periods, the HGP-A geothermal well as a site-specific model, and the geothermal resources potential of Hawaii. (MHR)

  18. The conversion of solar energy to the chemical energy of organic compounds is a complex process that includes electron transport and

    E-Print Network [OSTI]

    Ehleringer, Jim

    The conversion of solar energy to the chemical energy of organic compounds is a complex process energy or photon units. Irradiance is the amount of energy that falls on a flat sensor of known area per and energy units for sunlight can be intercon- verted relatively easily, provided that the wavelength

  19. Statistical mechanics solution sheet 1 1. The solar system is open, as it transfers energy and particles to the environment.

    E-Print Network [OSTI]

    Dettmann, Carl

    of the second law is "A process whose only effect is the conversion of heat into work cannot occur." An example of an irreversible process is conduction of heat from a hot to a cold body. My favourite perpetual motionStatistical mechanics solution sheet 1 1. The solar system is open, as it transfers energy

  20. Statistics of publicly owned electric utilities in the United States: 1979, energy data report

    SciTech Connect (OSTI)

    McEwan, P.; Ryan, S.

    1980-12-01T23:59:59.000Z

    Financial and operating information about publicly owned utilities in the United States are presented. This publication contains the annual reports for 162 Municipalities and 74 Federal projects whose annual operating revenues equal or exceed $5,000,000 or $1,000,000, respectively. Data from 11 municipalities which reported in 1978 and 6 federal projects (5 of which reported in 1978) were not received in time for inclusion in this year's publication. The US Department of Interior markets all the electric energy produced at projects of the US Department of the Army Corps of Engineers. The 1979 edition is constructed to include an index listing of names for each reporting publicly owned utility by State, or States, in which it operates. Federal projects are listed by the particular department operating that project. A summary for all utilities in total may be found at the begining of each section. These summaries include the balance sheet, and statements for income accounts, electric operating revenues, electric utility plants, electric operation and maintenance expenses, energy accounts, and physical quantities. The Year in Review is composed of statements from both Publicly Owned Municipal Electric Utilities and Federal Projects. It includes both financial and operational information.

  1. Ernest Orlando Lawrence Awards Ceremony for 2011 Award Winners (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)

    ScienceCinema (OSTI)

    Chu, Steven (U.S. Energy Secretary)

    2012-06-28T23:59:59.000Z

    The winners for 2011 of the Department of Energy's Ernest Orlando Lawrence Award were recognized in a ceremony held May 21, 2012. Dr. Steven Chu and others spoke of the importance of the accomplishments and the prestigious history of the award. The recipients of the Ernest Orlando Lawrence Award for 2011 are: Riccardo Betti (University of Rochester); Paul C. Canfield (Ames Laboratory); Mark B. Chadwick (Los Alamos National Laboratory); David E. Chavez (Los Alamos National Laboratory); Amit Goyal (Oak Ridge National Laboratory); Thomas P. Guilderson (Lawrence Livermore National Laboratory); Lois Curfman McInnes (Argonne National Laboratory); Bernard Matthew Poelker (Thomas Jeffereson National Accelerator Facility); and Barry F. Smith (Argonne National Laboratory).

  2. Ernest Orlando Lawrence Awards Ceremony for 2011 Award Winners (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)

    SciTech Connect (OSTI)

    Chu, Steven (U.S. Energy Secretary) [U.S. Energy Secretary

    2012-05-21T23:59:59.000Z

    The winners for 2011 of the Department of Energy's Ernest Orlando Lawrence Award were recognized in a ceremony held May 21, 2012. Dr. Steven Chu and others spoke of the importance of the accomplishments and the prestigious history of the award. The recipients of the Ernest Orlando Lawrence Award for 2011 are: Riccardo Betti (University of Rochester); Paul C. Canfield (Ames Laboratory); Mark B. Chadwick (Los Alamos National Laboratory); David E. Chavez (Los Alamos National Laboratory); Amit Goyal (Oak Ridge National Laboratory); Thomas P. Guilderson (Lawrence Livermore National Laboratory); Lois Curfman McInnes (Argonne National Laboratory); Bernard Matthew Poelker (Thomas Jeffereson National Accelerator Facility); and Barry F. Smith (Argonne National Laboratory).

  3. 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

  4. 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

  5. Monthly energy review, January 1992. [Contains Glossary

    SciTech Connect (OSTI)

    Not Available

    1992-01-28T23:59:59.000Z

    Monthly Energy Review contains statistical information on energy sources including petroleum, natural gas, coal and nuclear energy. Information on energy consumption, oil and gas resource development, electricity, energy prices and international energy is provided. (VC)

  6. Simulating the Sunyaev-Zel'dovich effect(s): including radiative cooling and energy injection by galactic winds

    E-Print Network [OSTI]

    Martin White; Lars Hernquist; Volker Springel

    2002-07-08T23:59:59.000Z

    We present results on the thermal and kinetic Sunyaev-Zel'dovich (SZ) effects from a sequence of high resolution hydrodynamic simulations of structure formation, including cooling, feedback and metal injection. These simulations represent a self-consistent thermal model which incorporates ideas from the `pre-heating' scenario while preserving good agreement with the low density IGM at z~3 probed by the Ly-a forest. Four simulations were performed, at two different resolutions with and without radiative effects and star formation. The long-wavelength modes in each simulation were the same, so that we can compare the results on an object by object basis. We demonstrate that our simulations are converged to the sub-arcminute level. The effect of the additional physics is to suppress the mean Comptonization parameter by 20% and to suppress the angular power spectrum of fluctuations by just under a factor of two in this model while leaving the source counts and properties relatively unchanged. We quantify how non-Gaussianity in the SZ maps increases the sample variance over the standard result for Gaussian fluctuations. We identify a large scatter in the Y-M relation which will be important in searches for clusters using the SZ effect(s).

  7. Technical support document: Energy efficiency standards for consumer products: Refrigerators, refrigerator-freezers, and freezers including draft environmental assessment, regulatory impact analysis

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    The Energy Policy and Conservation Act (P.L. 94-163), as amended by the National Appliance Energy Conservation Act of 1987 (P.L. 100-12) and by the National Appliance Energy Conservation Amendments of 1988 (P.L. 100-357), and by the Energy Policy Act of 1992 (P.L. 102-486), provides energy conservation standards for 12 of the 13 types of consumer products` covered by the Act, and authorizes the Secretary of Energy to prescribe amended or new energy standards for each type (or class) of covered product. The assessment of the proposed standards for refrigerators, refrigerator-freezers, and freezers presented in this document is designed to evaluate their economic impacts according to the criteria in the Act. It includes an engineering analysis of the cost and performance of design options to improve the efficiency of the products; forecasts of the number and average efficiency of products sold, the amount of energy the products will consume, and their prices and operating expenses; a determination of change in investment, revenues, and costs to manufacturers of the products; a calculation of the costs and benefits to consumers, electric utilities, and the nation as a whole; and an assessment of the environmental impacts of the proposed standards.

  8. Statistical Sciences

    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'sis Taking Over Our Instagram Secretary900 SpecialNanoparticulateEmissions Targetson6 Statistical

  9. Energy level statistics in the transition regime between integrability and chaos for systems with broken antiunitary symmetry

    E-Print Network [OSTI]

    Marko Robnik; Jure Dobnikar; Tomaz Prosen

    1997-11-10T23:59:59.000Z

    Energy spectra of a particle with mass $m$ and charge $e$ in the cubic Aharonov-Bohm billiard containing around $10^4$ consecutive levels starting from the ground state have been analysed. The cubic Aharonov-Bohm billiard is a plane billiard defined by the cubic conformal mapping of the unit disc pervaded by a point magnetic flux through the origin perpendicular to the plane of the billiard. The magnetic flux does not influence the classical dynamics, but breaks the antiunitary symmetry in the system, which affects the statistics of energy levels. By varying the shape parameter $\\lam$ the classical dynamics goes from integrable ($\\lam =0$) to fully chaotic ($\\lam = 0.2$; Africa billiard). The level spacing distribution $P(S)$ and the number variance $\\Sigma^{2}(L)$ have been studied for 13 different shape parameters on the interval ($0\\le\\lam\\le0.2$). GUE statistics has proven correct for completely chaotic case, while in the mixed regime the fractional power law level repulsion has been observed. The exponent of the level repulsion has been analysed and is found to change smoothly from 0 to 2 as the dynamics goes from integrable to ergodic. Further on, the semiclassical Berry-Robnik theory has been examined. We argue that the semiclassical regime has not been reached and give an estimate for the number of energy levels required for the Berry-Robnik statistics to apply.

  10. Technical support document: Energy conservation standards for consumer products: Dishwashers, clothes washers, and clothes dryers including: Environmental impacts; regulatory impact analysis

    SciTech Connect (OSTI)

    Not Available

    1990-12-01T23:59:59.000Z

    The Energy Policy and Conservation Act as amended (P.L. 94-163), establishes energy conservation standards for 12 of the 13 types of consumer products specifically covered by the Act. The legislation requires the Department of Energy (DOE) to consider new or amended standards for these and other types of products at specified times. This Technical Support Document presents the methodology, data and results from the analysis of the energy and economic impacts of standards on dishwashers, clothes washers, and clothes dryers. The economic impact analysis is performed in five major areas: An Engineering Analysis, which establishes technical feasibility and product attributes including costs of design options to improve appliance efficiency. A Consumer Analysis at two levels: national aggregate impacts, and impacts on individuals. The national aggregate impacts include forecasts of appliance sales, efficiencies, energy use, and consumer expenditures. The individual impacts are analyzed by Life-Cycle Cost (LCC), Payback Periods, and Cost of Conserved Energy (CCE), which evaluate the savings in operating expenses relative to increases in purchase price; A Manufacturer Analysis, which provides an estimate of manufacturers' response to the proposed standards. Their response is quantified by changes in several measures of financial performance for a firm. An Industry Impact Analysis shows financial and competitive impacts on the appliance industry. A Utility Analysis that measures the impacts of the altered energy-consumption patterns on electric utilities. A Environmental Effects analysis, which estimates changes in emissions of carbon dioxide, sulfur oxides, and nitrogen oxides, due to reduced energy consumption in the home and at the power plant. A Regulatory Impact Analysis collects the results of all the analyses into the net benefits and costs from a national perspective. 47 figs., 171 tabs. (JF)

  11. National Association of State Energy Officials

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

    Energy Loan Fund (SELF) database, which tracks energy loan programs and includes key statistics such as funding source, fund size, and program purpose (see http:naseo.org...

  12. Under the recently passed American Recovery and Reinvestment Bill of 2009, the Department of Energy would receive approximately $40 billion for various energy programs and initiatives, including:

    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 offOCHCO Overview OCHCOSystems Analysis Success|Sustainable EnergyMotorUncle Sam Turns to SAMEnergy,

  13. Monthly energy review: April 1996

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

  14. Valuation of wind energy projects and statistical analysis of wind power

    E-Print Network [OSTI]

    Nanopoulos, Andrew

    2012-01-01T23:59:59.000Z

    As energy becomes an increasingly important issue for generations to come, it is crucial to develop tools for valuing and understanding energy projects from an economic perspective since ultimately only economically viable ...

  15. Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models

    E-Print Network [OSTI]

    Darwin, R. F.; Mazzucchi, R. P.

    1988-01-01T23:59:59.000Z

    A standardized method for modeling energy consumption in mixed clusters of residential and commercial buildings is described. The basic approach is to delineate energy consumption along three dimensions: time, day-length, and temperature...

  16. Monthly energy review

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  17. Statistics Overall Statistics

    E-Print Network [OSTI]

    Czarnecki, Krzysztof

    2012 Beaver Computing Challenge Results Sponsor: 1 #12;Statistics Overall Statistics Number.24/6 Glasses: 1.74/4 Text Machine: 5.54/8 Hierarchical Structure: 2.98/6 Bebrocarina: 2.14/4 Beaver Navigation: 5.06/8 Beaver Pyramid: 3.23/6 Change Direction: 1.45/4 Power Generation: 5.56/8 Rotating Puzzle: 5

  18. CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency

    E-Print Network [OSTI]

    Ravindran, Binoy

    @mitre.org ABSTRACT We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA, making it a prime target for energy saving in past efforts. Dynamic voltage scaling (DVS) is a common mechanism em- ployed in the past to trade CPU's energy consumption for per- formance (see [2, 12, 14

  19. Monthly energy review, May 1999

    SciTech Connect (OSTI)

    NONE

    1999-05-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  20. Monthly energy review, November 1996

    SciTech Connect (OSTI)

    NONE

    1996-11-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

  1. Monthly energy review, August 1997

    SciTech Connect (OSTI)

    NONE

    1997-08-01T23:59:59.000Z

    The Monthly Energy Review for the month of August 1997, presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  2. Monthly energy review, November 1997

    SciTech Connect (OSTI)

    NONE

    1997-11-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 91 tabs.

  3. Monthly energy review, June 1998

    SciTech Connect (OSTI)

    NONE

    1998-06-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 36 figs., 61 tabs.

  4. Monthly energy review, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs. 73 tabs.

  5. Monthly energy review, November 1998

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  6. Monthly energy review, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  7. Monthly energy review, March 1999

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 74 tabs.

  8. Monthly energy review, February 1999

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 73 tabs.

  9. Monthly energy review, October 1998

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 37 figs., 61 tabs.

  10. High Temperature Superconductors: From Delivery to Applications (Presentation from 2011 Ernest Orlando Lawrence Award-winner, Dr. Amit Goyal, and including introduction by Energy Secretary, Dr. Steven Chu)

    ScienceCinema (OSTI)

    Goyal, Amit (Oak Ridge National Laboratory)

    2012-06-28T23:59:59.000Z

    Dr. Amit Goyal, a high temperature superconductivity (HTS) researcher at Oak Ridge National Laboratory, was named a 2011 winner of the Department of Energy's Ernest Orlando Lawrence Award honoring U.S. scientists and engineers for exceptional contributions in research and development supporting DOE and its mission. Winner of the award in the inaugural category of Energy Science and Innovation, Dr. Goyal was cited for his work in 'pioneering research and transformative contributions to the field of applied high temperature superconductivity, including fundamental materials science advances and technical innovations enabling large-scale applications of these novel materials.' Following his basic research in grain-to-grain supercurrent transport, Dr. Goyal focused his energy in transitioning this fundamental understanding into cutting-edge technologies. Under OE sponsorship, Dr. Goyal co-invented the Rolling Assisted Bi-Axially Textured Substrate technology (RABiTS) that is used as a substrate for second generation HTS wires. OE support also led to the invention of Structural Single Crystal Faceted Fiber Substrate (SSIFFS) and the 3-D Self Assembly of Nanodot Columns. These inventions and associated R&D resulted in 7 R&D 100 Awards including the 2010 R&D Magazine's Innovator of the Year Award, 3 Federal Laboratory Consortium Excellence in Technology Transfer National Awards, a DOE Energy100 Award and many others. As a world authority on HTS materials, Dr. Goyal has presented OE-sponsored results in more than 150 invited talks, co-authored more than 350 papers and is a fellow of 7 professional societies.

  11. High Temperature Superconductors: From Delivery to Applications (Presentation from 2011 Ernest Orlando Lawrence Award-winner, Dr. Amit Goyal, and including introduction by Energy Secretary, Dr. Steven Chu)

    SciTech Connect (OSTI)

    Goyal, Amit (Oak Ridge National Laboratory) [Oak Ridge National Laboratory

    2012-05-22T23:59:59.000Z

    Dr. Amit Goyal, a high temperature superconductivity (HTS) researcher at Oak Ridge National Laboratory, was named a 2011 winner of the Department of Energy's Ernest Orlando Lawrence Award honoring U.S. scientists and engineers for exceptional contributions in research and development supporting DOE and its mission. Winner of the award in the inaugural category of Energy Science and Innovation, Dr. Goyal was cited for his work in 'pioneering research and transformative contributions to the field of applied high temperature superconductivity, including fundamental materials science advances and technical innovations enabling large-scale applications of these novel materials.' Following his basic research in grain-to-grain supercurrent transport, Dr. Goyal focused his energy in transitioning this fundamental understanding into cutting-edge technologies. Under OE sponsorship, Dr. Goyal co-invented the Rolling Assisted Bi-Axially Textured Substrate technology (RABiTS) that is used as a substrate for second generation HTS wires. OE support also led to the invention of Structural Single Crystal Faceted Fiber Substrate (SSIFFS) and the 3-D Self Assembly of Nanodot Columns. These inventions and associated R&D resulted in 7 R&D 100 Awards including the 2010 R&D Magazine's Innovator of the Year Award, 3 Federal Laboratory Consortium Excellence in Technology Transfer National Awards, a DOE Energy100 Award and many others. As a world authority on HTS materials, Dr. Goyal has presented OE-sponsored results in more than 150 invited talks, co-authored more than 350 papers and is a fellow of 7 professional societies.

  12. Separating the regular and irregular energy levels and their statistics in Hamiltonian system with mixed classical dynamics

    E-Print Network [OSTI]

    Baowen Li; Marko

    1995-02-01T23:59:59.000Z

    We look at the high-lying eigenstates (from the 10,001st to the 13,000th) in the Robnik billiard (defined as a quadratic conformal map of the unit disk) with the shape parameter $\\lambda=0.15$. All the 3,000 eigenstates have been numerically calculated and examined in the configuration space and in the phase space which - in comparison with the classical phase space - enabled a clear cut classification of energy levels into regular and irregular. This is the first successful separation of energy levels based on purely dynamical rather than special geometrical symmetry properties. We calculate the fractional measure of regular levels as $\\rho_1=0.365\\pm 0.01$ which is in remarkable agreement with the classical estimate $\\rho_1=0.360\\pm 0.001$. This finding confirms the Percival's (1973) classification scheme, the assumption in Berry-Robnik (1984) theory and the rigorous result by Lazutkin (1981,1991). The regular levels obey the Poissonian statistics quite well whereas the irregular sequence exhibits the fractional power law level repulsion and globally Brody-like statistics with $\\beta = 0.286\\pm0.001$. This is due to the strong localization of irregular eigenstates in the classically chaotic regions. Therefore in the entire spectrum we see that the Berry-Robnik regime is not yet fully established so that the level spacing distribution is correctly captured by the Berry-Robnik-Brody distribution (Prosen and Robnik 1994).

  13. Statistical Sciences

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

    of Experiments Reliability Bayesian Methods Statistical Computation Statistical Graphics and Visualization Analysis of Measurement Systems Projects Data Analysis System...

  14. Towards energy resolution at the statistical limit from a negative ion time projection chamber

    E-Print Network [OSTI]

    Peter Sorensen; Mike Heffner; Adam Bernstein; Josh Renner; Melinda Sweany

    2012-05-29T23:59:59.000Z

    We make a proof-of-principle demonstration that improved energy resolution can be obtained in a negative-ion time projection chamber, by individually counting each electron produced by ionizing radiation.

  15. Can chaotic quantum energy levels statistics be characterized using information geometry and inference methods?

    E-Print Network [OSTI]

    C. Cafaro; S. A. Ali

    2008-10-25T23:59:59.000Z

    In this paper, we review our novel information geometrodynamical approach to chaos (IGAC) on curved statistical manifolds and we emphasize the usefulness of our information-geometrodynamical entropy (IGE) as an indicator of chaoticity in a simple application. Furthermore, knowing that integrable and chaotic quantum antiferromagnetic Ising chains are characterized by asymptotic logarithmic and linear growths of their operator space entanglement entropies, respectively, we apply our IGAC to present an alternative characterization of such systems. Remarkably, we show that in the former case the IGE exhibits asymptotic logarithmic growth while in the latter case the IGE exhibits asymptotic linear growth. At this stage of its development, IGAC remains an ambitious unifying information-geometric theoretical construct for the study of chaotic dynamics with several unsolved problems. However, based on our recent findings, we believe it could provide an interesting, innovative and potentially powerful way to study and understand the very important and challenging problems of classical and quantum chaos.

  16. Statistical Laboratory & Department of Statistics

    E-Print Network [OSTI]

    Statistical Laboratory & Department of Statistics Annual Report July 1, 2005 to December 31, 2006...............................................33 Statistical Computing Section ......................................34 CSSM and statistical methodology in the nutritional sciences. We were also very pleased to secure a permanent lecturer

  17. Energy savings for heat-island reduction strategies in Chicago and Houston (including updates for Baton Rouge, Sacramento, and Salt Lake City)

    E-Print Network [OSTI]

    Konopacki, S.; Akbari, H.

    2002-01-01T23:59:59.000Z

    simulated energy and power savings from HIR strategies byEnergy Savings Calculations for Heat Island Reduction Strategies49638 Energy Savings of Heat-Island Reduction Strategies in

  18. www.eia.gov U.S. Energy Information Administration Independent Statistics & Analysis

    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 by Climate6,1996 http://www.eia.doe.govEffects of

  19. EIA - Advice from Meetings of the ASA Committee on Energy Statistics

    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, Wisconsin:Deployment ActivitiesAgeDieselDiesel prices up thisAdvice from

  20. Enrico Fermi Awards Ceremony for Dr. Allen J. Bard and Dr. Andrew Sessler, February 2014 (Presentations, including remarks by Energy Secretary, Dr. Ernest Moniz)

    SciTech Connect (OSTI)

    Moniz, Ernest [U.S. Energy Secretary

    2014-02-03T23:59:59.000Z

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On February 3, 2014 it was conferred upon two exceptional scientists. The first to be recognized is Dr. Allen J. Bard, 'for international leadership in electrochemical science and technology, for advances in photoelectrochemistry and photocatalytic materials, processes, and devices, and for discovery and development of electrochemical methods including electrogenerated chemiluminescence and scanning electrochemical microscopy.' The other honoree is Dr. Andrew Sessler, 'for advancing accelerators as powerful tools of scientific discovery, for visionary direction of the research enterprise focused on challenges in energy and the environment, and for championing outreach and freedom of scientific inquiry worldwide.' Dr. Patricia Dehmer opened the ceremony, and Dr. Ernest Moniz presented the awards.

  1. Enrico Fermi Awards Ceremony for Dr. Allen J. Bard and Dr. Andrew Sessler, February 2014 (Presentations, including remarks by Energy Secretary, Dr. Ernest Moniz)

    ScienceCinema (OSTI)

    Moniz, Ernest [U.S. Energy Secretary

    2014-08-22T23:59:59.000Z

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On February 3, 2014 it was conferred upon two exceptional scientists. The first to be recognized is Dr. Allen J. Bard, 'for international leadership in electrochemical science and technology, for advances in photoelectrochemistry and photocatalytic materials, processes, and devices, and for discovery and development of electrochemical methods including electrogenerated chemiluminescence and scanning electrochemical microscopy.' The other honoree is Dr. Andrew Sessler, 'for advancing accelerators as powerful tools of scientific discovery, for visionary direction of the research enterprise focused on challenges in energy and the environment, and for championing outreach and freedom of scientific inquiry worldwide.' Dr. Patricia Dehmer opened the ceremony, and Dr. Ernest Moniz presented the awards.

  2. Monthly energy review, November 1994

    SciTech Connect (OSTI)

    Not Available

    1994-11-01T23:59:59.000Z

    This monthly publication contains statistical data on energy resources in the United States. Petroleum, natural gas, coal, electricity, and nuclear energy are covered. Additional sections include an energy overview, energy consumption, oil and gas resource development and energy prices. This issue includes features on energy-related housing characteristics and the propane-provider fleet.

  3. A statistical study of high-energy emission of BATSE GRBs with COMPTEL and EGRET data

    SciTech Connect (OSTI)

    Chernenko, A.; Mitrofanov, I. [Space Research Institute, Profsojuznaya str. 84/32, 117810 Moscow (Russian Federation); Briggs, M.; Kippen, R. M.; Paciesas, W.; Pendleton, G.; Preece, R. [Department of Physics, University of Alabama in Huntsville, Huntsville, Alabama 35899 (United States); NASA/Marshall Space Flight Center, Huntsville, Alabama 35812 (United States); Connaughton, V.; Meegan, C. [NASA/Marshall Space Flight Center, Huntsville, Alabama 35812 (United States); Dingus, B. [Physics Department, University of Utah, Salt Lake City, Utah 84112 (United States); Connors, A. [Space Science Center, University of New Hampshire, Durham, New Hampshire 03824 (United States); Hurley, K. [Space Sciences Laboratory, University of California, Berkeley, California 94720 (United States)

    1998-05-16T23:59:59.000Z

    Using the peak aligned averaging method we analyze a subset of BATSE gamma-ray bursts (GRBs) with positions within the fields of view of the COMPTEL and EGRET instruments. We consider GRBs detected by the two telescopes as well as those individually undetected. With this averaging method we make a collective detection of GRBs that were undetected individually at high energies. The average temporal and spectral properties of bursts above 1 MeV are determined.

  4. Monthly energy review, February 1997

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    This is an overview of the February energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 37 figs., 73 tabs.

  5. Monthly energy review, January 1997

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    This is an overview of the January energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 47 figs., 71 tabs.

  6. Monthly energy review, June 1997

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    This is an overview of the June energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, coal, electricity, nuclear energy, energy prices, and international energy. 37 figs., 88 tabs.

  7. Monthly energy review, January 1996

    SciTech Connect (OSTI)

    NONE

    1996-01-01T23:59:59.000Z

    This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum,natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal metric conversion factors.

  8. Monthly energy review, November 1995

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    This document presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. International energy and thermal and metric conversion factors are included.

  9. Monthly energy review, July 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    This document presents an overview of the recent monthly energy statistics from the Energy Information Administration (EIA). Statistical data covers activities of U.S. production, consumption, trade, stocks, and prices for fossil fuels , nuclear energy, and electricity. Also included are international energy and thermal and metric conversion factors.

  10. Energy Use in the U.S. Commercial Sector - Energy Information Administration Data, Information and Analyses

    E-Print Network [OSTI]

    Boedecker, E.

    2001-01-01T23:59:59.000Z

    The Energy Information Administration (EIA) is the independent statistical and analytical agency within the U.S. Department of Energy. As such, EIA has a wealth of energy data and analyses available for public use, including information about energy...

  11. www.eia.gov U.S. Energy Information Administration Independent Statistics & Analysis

    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 Year-0E (2001)gasoline prices4 Oil demand Motor444B1, WeeklyFebruary

  12. www.eia.gov U.S. Energy Information Administration Independent Statistics & Analysis

    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 Year-0E (2001)gasoline prices4 Oil demand Motor444B1,

  13. Department of Statistics STATISTICS COLLOQUIUM

    E-Print Network [OSTI]

    Department of Statistics STATISTICS COLLOQUIUM ERIC KOLACZYK Department of Statistics Boston University Statistical Analysis of Network Data: (Re)visiting the Foundations MONDAY, October 13, 2014, at 4, statistical methods and modeling have been central to these efforts. But how well do we truly understand

  14. Statistical Laboratory & Department of Statistics

    E-Print Network [OSTI]

    by the American Statistical Association. Dean Isaacson and Mark Kaiser were instrumental in garnering a NationalStatistical Laboratory & Department of Statistics Annual Report July 1, 2002 to June 30, 2003 IOWA Chair of the Department of Statistics and Director of the Statistical Laboratory in November, 2002. Dean

  15. Department of Mathematics and Statistics The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The

    E-Print Network [OSTI]

    Kambhampati, Patanjali

    Department of Mathematics and Statistics ___________________________ The Department of Mathematics and Statistics invites applications for a tenure-track position in Statistics. The Department welcomes or complex data settings, including high dimensional regression, computational statistics and statistical

  16. Experimental Mathematics and Computational Statistics

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2009-04-30T23:59:59.000Z

    The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

  17. UKERC ENERGY RESEARCH ATLAS: CARBON CAPTURE AND STORAGE (version 10 February 2008) Section 1: An overview which includes a broad characterisation of research activity in the sector and the key research challenges

    E-Print Network [OSTI]

    Haszeldine, Stuart

    UKERC ENERGY RESEARCH ATLAS: CARBON CAPTURE AND STORAGE (version 10 February 2008) Section 1 Research and Technology Development (RTD) Programmes. Section 8: UK participation in energy-related EU international initiatives, including those supported by the International Energy Agency. Version 1.2 published

  18. Monthly energy review, December 1995

    SciTech Connect (OSTI)

    NONE

    1995-12-21T23:59:59.000Z

    This publication presents an overview of EIA`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. An energy preview of alternative fuel providers vehicle fleet surveys is included. The publication is intended for use by members of Congress, Federal and State agencies, energy analysts, and the general public.

  19. Energy and environmental research emphasizing low-rank coal: Task 3.4 -- Hot-gas cleaning. Topical report (includes semiannual report for January--June 1995)

    SciTech Connect (OSTI)

    Weber, G.F.; Swanson, M.L.

    1995-06-01T23:59:59.000Z

    This report summarizes the accomplishments of three subtasks completed in support of the current and future hot-gas cleanup activities at the Energy and Environmental Research Center (EERC). The overall objective of the EERC hot-gas cleanup task is to develop reliable methods to remove particulate matter from high-temperature, high-pressure gas streams produced from coal combustion and/or gasification. Near-term task objectives include (1) design, fabrication, and assembly of a high-temperature, high-pressure bench-scale filter vessel; (2) design, fabrication, and assembly of a high-temperature, high-pressure sampling train; and (3) the preliminary design of a pilot-scale high-temperature, high-pressure filter vessel and support systems. Bench-scale hot-gas filter research will be performed with the pressurized fluid-bed reactor (PFBR) or the continuous fluid-bed reactor (CFBR) and a hot-gas filter vessel. The objectives of future work with the bench-scale system will be to determine particulate and vapor-phase alkali degradation of candidate ceramic filter structures as well as filter performance relative to particulate collection efficiency, differential pressure, and filter cleanability. Construction of the high-temperature, high-pressure sampling system was intended to support bench- and pilot-scale activities with respect to conventional particulate sampling (total mass and particle-size distribution) and hazardous air pollutant (HAP) sampling. Finally, pilot-scale tests will be performed to evaluate filter performance and determine alkali corrosion of ceramic materials with a hot-gas filter vessel attached to the EERC Transport Reactor Development Unit (TRDU).

  20. Monthly energy review, December 1994

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    This monthly publication contains statistical data on energy resources in the United States. Petroleum, natural gas, coal, electricity, and nuclear energy are covered. Additional sections include an energy overview, energy consumption, oil and gas resource development and energy prices. This issue includes a market assessment of alternative-fuel vehicles in the Atlanta private fleet for 1994.

  1. Annual energy review 1994

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    This 13th edition presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1994; thus, this report is well-suited to long-term trend analyses. It covers all major energy activities, including consumption, production, trade, stocks, and prices for all major energy commodities, including fossil fuels and electricity. Statistics on renewable energy sources are also included: this year, for the first time, usage of renewables by other consumers as well as by electric utilities is included. Also new is a two-part, comprehensive presentation of data on petroleum products supplied by sector for 1949 through 1994. Data from electric utilities and nonutilities are integrated as ``electric power industry`` data; nonutility power gross generation are presented for the first time. One section presents international statistics (for more detail see EIA`s International Energy Annual).

  2. Statistical review of coal in Canada, 1997

    SciTech Connect (OSTI)

    Not Available

    1999-01-01T23:59:59.000Z

    The paper presents an annual review of the coal industry, including production, exports and imports, and consumption. An overview is given, followed by more detailed statistical data for the current year and preceding decade (supply and demand, value and volume of supply by province, coal production by class or province, exports by destination, coal consumed in power generation by province, electrical energy production by fuel type, domestic demand for primary energy by type).

  3. Monthly energy review, April 1997

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    This report presents an overview of monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. International energy and thermal metric conversion factors are included.

  4. Monthly energy review, July 1997

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This document presents an overview of recent monthly energy statistics. Activities covered include: U.S. production, consumption, trade, stock, and prices for petroleum, coal, natural gas, electricity, and nuclear energy.

  5. Monthly energy review, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public.

  6. Monthly energy review, August 1998

    SciTech Connect (OSTI)

    NONE

    1998-08-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. 37 figs., 73 tabs.

  7. EIS-0310: Accomplishing Expanded Civilian Nuclear Energy Research and Development and Isotope Production Missions in the United States, Including the Role of the Fast Flux Test Facility

    Broader source: Energy.gov [DOE]

    This PEIS will evaluate the potential environmental impacts of the proposed enhancement of the existing infrastructure, including the possible role of the Fast Flux Test Facility (FFTF), located at...

  8. Term statistics Zipf's law text statistics

    E-Print Network [OSTI]

    Lu, Jianguo

    Term statistics Zipf's law text statistics October 20, 2014 text statistics 1 / 19 #12;Term statistics Zipf's law Overview 1 Term statistics 2 Zipf's law text statistics 2 / 19 #12;Term statistics Zipf's law Outline 1 Term statistics 2 Zipf's law text statistics 3 / 19 #12;Term statistics Zipf's law Model

  9. Internship Contract (Includes Practicum)

    E-Print Network [OSTI]

    Thaxton, Christopher S.

    Internship Contract (Includes Practicum) Student's name-mail: _________________________________________ Internship Agency Contact Agency Name: ____________________________________ Address-mail: __________________________________________ Location of Internship, if different from Agency: ________________________________________________ Copies

  10. Enrico Fermi Awards Ceremony for Dr. Mildred S. Dresselhaus and Dr. Burton Richter, May 2012 (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)

    ScienceCinema (OSTI)

    Chu, Steven (U.S. Energy Secretary)

    2012-06-28T23:59:59.000Z

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On May 7, 2012 it was conferred upon two exceptional scientists: Dr. Mildred Dresselhaus, 'for her scientific leadership, her major contributions to science and energy policy, her selfless work in science education and the advancement of diversity in the scientific workplace, and her highly original and impactful research,' and Dr. Burton Richter, 'for the breadth of his influence in the multiple disciplines of accelerator physics and particle physics, his profound scientific discoveries, his visionary leadership as SLAC Director, his leadership of science, and his notable contributions in energy and public policy.' Dr. John Holder, Director of the White House Office of Science and Technology Policy, opened the ceremony, and Dr. Bill Brinkman, Director of DOE's Office of Science introduced the main speaker, Dr. Steven Chu, U.S. Energy Secretary.

  11. Enrico Fermi Awards Ceremony for Dr. Mildred S. Dresselhaus and Dr. Burton Richter, May 2012 (Presentations, including remarks by Energy Secretary, Dr. Steven Chu)

    SciTech Connect (OSTI)

    Chu, Steven (U.S. Energy Secretary) [U.S. Energy Secretary

    2012-05-07T23:59:59.000Z

    The Fermi Award is a Presidential award and is one of the oldest and most prestigious science and technology honors bestowed by the U.S. Government. On May 7, 2012 it was conferred upon two exceptional scientists: Dr. Mildred Dresselhaus, 'for her scientific leadership, her major contributions to science and energy policy, her selfless work in science education and the advancement of diversity in the scientific workplace, and her highly original and impactful research,' and Dr. Burton Richter, 'for the breadth of his influence in the multiple disciplines of accelerator physics and particle physics, his profound scientific discoveries, his visionary leadership as SLAC Director, his leadership of science, and his notable contributions in energy and public policy.' Dr. John Holder, Director of the White House Office of Science and Technology Policy, opened the ceremony, and Dr. Bill Brinkman, Director of DOE's Office of Science introduced the main speaker, Dr. Steven Chu, U.S. Energy Secretary.

  12. Pump apparatus including deconsolidator

    DOE Patents [OSTI]

    Sonwane, Chandrashekhar; Saunders, Timothy; Fitzsimmons, Mark Andrew

    2014-10-07T23:59:59.000Z

    A pump apparatus includes a particulate pump that defines a passage that extends from an inlet to an outlet. A duct is in flow communication with the outlet. The duct includes a deconsolidator configured to fragment particle agglomerates received from the passage.

  13. Monthly energy review, March 1995

    SciTech Connect (OSTI)

    NONE

    1995-03-28T23:59:59.000Z

    This publication presents statistical data on the following topics: Energy Consumption; Petroleum; Natural Gas; Oil and Gas Resource Development; Coal; Electricity; Nuclear Energy; Energy Prices; and International Energy. Appendices are included on: Thermal Conversion Factors; Metric and Other Physical Conversion Factors; Carbon Dioxide Emission Factors for Coal. A Glossary is included.

  14. A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01T23:59:59.000Z

    This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

  15. RECOVERY ACT CASE STUDY CHP and district energy serve Texas A&M's 5,200-acre campus, which includes 750 buildings.

    E-Print Network [OSTI]

    .S. Congressman Chet Edwards Texas A&M's CHP system includes a gas turbine generator, heat recovery steam generator, and steam turbine generator. Photo courtesy of Texas A&M University 3 Riley, Jim, "Combined Heat, 2010. Brush Generator 34 MW RO Water Dresser Rand Steam Turbine Ideal Generator 11 MW 12.47 kV EIT HRSG

  16. Small Business Goals and Statistics

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

    & Statistics The Idaho National Laboratory (INL) is committed to supporting the small business objectives of the U.S. Government and the Department of Energy (DOE) and recognizes...

  17. Living Expenses (includes approximately

    E-Print Network [OSTI]

    Maroncelli, Mark

    & engineering programs All other programs Graduate: MBA/INFSY at Erie & Harrisburg (12 credits) Business Guarantee 3 (Does not include Dependents Costs4 ) Altoona, Berks, Erie, and Harrisburg 12-Month Estimated

  18. INDIUM--2003 36.1 References that include a section mark () are found in the Internet

    E-Print Network [OSTI]

    . Crews, statistical assistant, and the world production table was prepared by Glenn J. Wallace energy savings, various national governments have targeted solid-state technologies, which include light-emitting diodes (LEDs), for increased research funding and development. A proposal for a program to fund solid

  19. System Advisor Model Includes Analysis of Hybrid CSP Option (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)

    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 solid ...SuccessSurprisingSynchrotronsPlasma Physics Labhas

  20. Exploring the full parameter space for an interacting dark energy model with recent observations including redshift-space distortions: application of the parametrized post-Friedmann approach

    E-Print Network [OSTI]

    Li, Yun-He; Zhang, Xin

    2014-01-01T23:59:59.000Z

    Dark energy can modify the dynamics of dark matter if there exists a direct interaction between them. Thus a measurement of the structure growth, e.g., redshift-space distortions (RSD), can be a powerful tool to constrain the interacting dark energy (IDE) models. For the widely studied $Q=3\\beta H\\rho_{de}$ model, previous works showed that only a very small coupling ($\\beta\\sim\\mathcal{O}(10^{-3})$) can survive in current RSD data. However, all these analyses have to assume $w>-1$ and $\\beta>0$ due to the existence of the large-scale instability in the IDE scenario. In our recent work [Phys.\\ Rev.\\ D {\\bf 90}, 063005 (2014)], we successfully solved this large-scale instability problem by establishing a parametrized post-Friedmann (PPF) framework for the IDE scenario. So we, for the first time, have the ability to explore the full parameter space of the IDE models. In this work, we reexamine the observational constraints on the $Q=3\\beta H\\rho_{de}$ model within the PPF framework. By using the Planck data, th...

  1. Mining, Using and Maintaining Source Statistics for Adaptive Data Integration

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    -Objective Optimization, Statistics Mining, Incremental Maintenance 1. INTRODUCTION The availability of structuredMining, Using and Maintaining Source Statistics for Adaptive Data Integration Jianchun Fan a framework for effectively mining multiple types of statistics including source coverage statistics, inter

  2. From QCD-based hard-scattering to nonextensive statistical mechanical descriptions of transverse momentum spectra in high-energy $pp$ and $p\\bar p$ collisions

    E-Print Network [OSTI]

    Cheuk-Yin Wong; Grzegorz Wilk; Leonardo J. L. Cirto; Constantino Tsallis

    2015-05-08T23:59:59.000Z

    Transverse spectra of both jets and hadrons obtained in high-energy $pp$ and $p\\bar p $ collisions at central rapidity exhibit power-law behavior of $1/p_T^n$ at high $p_T$. The power index $n$ is 4-5 for jet production and is 6-10 for hadron production. Furthermore, the hadron spectra spanning over 14 orders of magnitude down to the lowest $p_T$ region in $pp$ collisions at LHC can be adequately described by a single nonextensive statistical mechanical distribution that is widely used in other branches of science. This suggests indirectly the possible dominance of the hard-scattering process over essentially the whole $p_T$ region at central rapidity in high-energy $pp$ and $p \\bar p$ collisions. We show here direct evidences of such a dominance of the hard-scattering process by investigating the power indices of UA1 and ATLAS jet spectra over an extended $p_T$ region and the two-particle correlation data of the STAR and PHENIX Collaborations in high-energy $pp$ and $p \\bar p$ collisions at central rapidity. We then study how the showering of the hard-scattering product partons alters the power index of the hadron spectra and leads to a hadron distribution that may be cast into a single-particle nonextensive statistical mechanical distribution. Because of such a connection, the nonextensive statistical mechanical distribution may be considered as a lowest-order approximation of the hard-scattering of partons followed by the subsequent process of parton showering that turns the jets into hadrons, in high energy $pp$ and $p\\bar p$ collisions.

  3. Agile manufacturing from a statistical perspective

    SciTech Connect (OSTI)

    Easterling, R.G. [Sandia National Labs., Albuquerque, NM (United States). New Initiatives Dept.

    1995-10-01T23:59:59.000Z

    The objective of agile manufacturing is to provide the ability to quickly realize high-quality, highly-customized, in-demand products at a cost commensurate with mass production. More broadly, agility in manufacturing, or any other endeavor, is defined as change-proficiency; the ability to thrive in an environment of unpredictable change. This report discusses the general direction of the agile manufacturing initiative, including research programs at the National Institute of Standards and Technology (NIST), the Department of Energy, and other government agencies, but focuses on agile manufacturing from a statistical perspective. The role of statistics can be important because agile manufacturing requires the collection and communication of process characterization and capability information, much of which will be data-based. The statistical community should initiate collaborative work in this important area.

  4. Monthly energy review, March 1997

    SciTech Connect (OSTI)

    NONE

    1997-03-01T23:59:59.000Z

    This is an overview of the March 1997 energy statistics by the Energy Information Administration. The Contents of the report include an update on the effects of Title IV of the Clean Air Act Amendments of 1990 on electric utilities, an energy overview, US energy production, energy consumption, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. 37 figs., 60 tabs.

  5. Monthly energy review, April 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This report presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy data. A brief summary of the monthly and historical comparison data is provided in Section 1 of the report. A highlight section of the report provides an assessment of summer 1997 motor gasoline price increases.

  6. Use of Statistical Approach to Design an Optimal Duct System for On-demand Industrial Exhaust Ventilation 

    E-Print Network [OSTI]

    Litomisky, A.

    2010-01-01T23:59:59.000Z

    This paper elaborates on how to use statistics to calculate optimal parameters (including duct diameters) of energy-efficient industrial ventilation systems. Based on the fan-law, on-demand ventilation can save up to 80% ...

  7. Use of Statistical Approach to Design an Optimal Duct System for On-demand Industrial Exhaust Ventilation

    E-Print Network [OSTI]

    Litomisky, A.

    2010-01-01T23:59:59.000Z

    This paper elaborates on how to use statistics to calculate optimal parameters (including duct diameters) of energy-efficient industrial ventilation systems. Based on the fan-law, on-demand ventilation can save up to 80% of electricity compared...

  8. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 87% -4% 100% 47 Trend Initial Target Steam Chilled Utility Outages 2 +1% 0 0 0 Preventive Maintenance: Fire participation reading will be June 2012 *Budget data FYTD through March 2012 Maintenance: Performance Statistics

  9. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    Bank Central Svcs. Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 85% -12% 100% 80 Trend Initial Target Steam Chilled Utility Outages 3 -5 0 1 0 Preventive Maintenance: Fire participation reading will be August 2012 *Budget data FYTD through May 2012 Maintenance: Performance Statistics

  10. General Indicators: Performance Statistics

    E-Print Network [OSTI]

    Webb, Peter

    . Energy Mgmt Admin Preventive Maintenance: Fire/Life/Safety (FLS) 97% +10% 100% 96% 93% 99% 98% Non Chilled Utility Outages 8 +6% 0 1 2 Preventive Maintenance: Fire/Life/Safety (FLS) 100% No Change 100 will be June 2012 *Budget data FYTD through April 2012 Maintenance: Performance Statistics Current Month Change

  11. Relative Dating and Classification of Minerals and Rocks Based on Statistical Calculations Related to Their Potential Energy Index

    E-Print Network [OSTI]

    Labushev, Mikhail M

    2012-01-01T23:59:59.000Z

    Index of proportionality of atomic weights of chemical elements is proposed for determining the relative age of minerals and rocks. Their chemical analysis results serve to be initial data for calculations. For rocks of different composition the index is considered to be classification value as well. Crystal lattice energy change in minerals and their associations can be measured by the index value change, thus contributing to the solution of important practical problems. There was determined the effect of more rapid increase of potential energy of limestone with relatively low lattice energy as compared with the others.

  12. Annual Energy Review 1993

    SciTech Connect (OSTI)

    Not Available

    1994-07-14T23:59:59.000Z

    This twelfth edition of the Annual Energy Review (AER) presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1993. Because coverage spans four and a half decades, the statistics in this report are well-suited to long-term trend analyses. The AER is comprehensive. It covers all major energy activities, including consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels and electricity. The AER also presents Energy Information Administration (EIA) statistics on some renewable energy sources. EIA estimates that its consumption series include about half of the renewable energy used in the United States. For a more complete discussion of EIA`s renewables data, see p. xix, ``Introducing Expanded Coverage of Renewable Energy Data Into the Historical Consumption Series.`` Copies of the 1993 edition of the Annual Energy Review may be obtained by using the order form in the back of this publication. Most of the data in the 1993 edition also are available on personal computer diskette. For more information about the diskettes, see the back of this publication. In addition, the data are available as part of the National Economic, Social, and Environmental Data Bank on a CD-ROM. For more information about the data bank, contact the US Department of Commerce Economics and Statistics Administration, on 202-482-1986.

  13. Monthly Energy Review, February 1996

    SciTech Connect (OSTI)

    NONE

    1996-02-26T23:59:59.000Z

    This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

  14. Four Faculty Positions Applied Statistics & Computational Statistics

    E-Print Network [OSTI]

    Shepp, Larry

    Four Faculty Positions Applied Statistics & Computational Statistics The Department of Statistics at the Assistant Professor rank. Two positions are open in the area of Applied Statistics, with a focus on the development of statistical methodology and statistical consulting. The other two positions are open

  15. SDI: Statistical dynamic interactions

    SciTech Connect (OSTI)

    Blann, M.; Mustafa, M.G. (Lawrence Livermore National Lab., CA (USA)); Peilert, G.; Stoecker, H.; Greiner, W. (Frankfurt Univ. (Germany, F.R.). Inst. fuer Theoretische Physik)

    1991-04-01T23:59:59.000Z

    We focus on the combined statistical and dynamical aspects of heavy ion induced reactions. The overall picture is illustrated by considering the reaction {sup 36}Ar + {sup 238}U at a projectile energy of 35 MeV/nucleon. We illustrate the time dependent bound excitation energy due to the fusion/relaxation dynamics as calculated with the Boltzmann master equation. An estimate of the mass, charge and excitation of an equilibrated nucleus surviving the fast (dynamic) fusion-relaxation process is used as input into an evaporation calculation which includes 20 heavy fragment exit channels. The distribution of excitations between residue and clusters is explicitly calculated, as is the further deexcitation of clusters to bound nuclei. These results are compared with the exclusive cluster multiplicity measurements of Kim et al., and are found to give excellent agreement. We consider also an equilibrated residue system at 25% lower initial excitation, which gives an unsatisfactory exclusive multiplicity distribution. This illustrates that exclusive fragment multiplicity may provide a thermometer for system excitation. This analysis of data involves successive binary decay with no compressional effects nor phase transitions. Several examples of primary versus final (stable) cluster decay probabilities for an A = 100 nucleus at excitations of 100 to 800 MeV are presented. From these results a large change in multifragmentation patterns may be understood as a simple phase space consequence, invoking neither phase transitions, nor equation of state information. These results are used to illustrate physical quantities which are ambiguous to deduce from experimental fragment measurements. 14 refs., 4 figs.

  16. Monthly energy review, April 1995

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

    This April 1995 issue of the Monthly Energy Review contains an assessment of the market for alternative-fuel vehicles, the 1993 electric utility fleet survey. Highlights features commercial buildings energy consumption and expenditures for 1992. Regular features include statistical information in the following areas: Energy overview; Energy consumption; Petroleum; Natural gas; Oil and gas resource development; Coal; Electricity; Nuclear energy; Energy prices; and, International energy.

  17. PHYSICAL REVIEW A 84, 043824 (2011) Full counting statistics of energy fluctuations in a driven quantum resonator

    E-Print Network [OSTI]

    Clerk, Aashish

    probability distribution is not equivalent to the high-temperature classical distribution evaluated at some­4] and superconducting circuit QED systems [5,6]. In the latter systems, one uses dispersive interactions to detect be possible in optomechanical systems [7,8], where the energy of a single vibrational mode in a mechanical

  18. Spike statistics

    E-Print Network [OSTI]

    J. Mark Heinzle; Claes Uggla

    2012-12-21T23:59:59.000Z

    In this paper we explore stochastical and statistical properties of so-called recurring spike induced Kasner sequences. Such sequences arise in recurring spike formation, which is needed together with the more familiar BKL scenario to yield a complete description of generic spacelike singularities. In particular we derive a probability distribution for recurring spike induced Kasner sequences, complementing similar available BKL results, which makes comparisons possible. As examples of applications, we derive results for so-called large and small curvature phases and the Hubble-normalized Weyl scalar.

  19. Monthly energy review, August 1995

    SciTech Connect (OSTI)

    NONE

    1995-08-24T23:59:59.000Z

    Two brief articles are presented: measuring dependence on imported oil; and preliminary estimates of household energy consumption and expenditures in 1993. Then statistical tables are presented: energy overview, energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Appendices present thermal conversion factors, metric and other physical conversion factors, CO{sub 2} emission factors for coal, and listing of previous articles. A glossary is also included.

  20. Statistical Issues in Searches for New Physics

    E-Print Network [OSTI]

    Louis Lyons

    2014-09-05T23:59:59.000Z

    Given the cost, both financial and even more importantly in terms of human effort, in building High Energy Physics accelerators and detectors and running them, it is important to use good statistical techniques in analysing data. Some of the statistical issues that arise in searches for New Physics are discussed briefly. They include topics such as: Should we insist on the 5 sigma criterion for discovery claims? The probability of A, given B, is not the same as the probability of B, given A. The meaning of p-values. What is Wilks Theorem and when does it not apply? How should we deal with the `Look Elsewhere Effect'? Dealing with systematics such as background parametrisation. Coverage: What is it and does my method have the correct coverage? The use of p0 versus p1 plots.

  1. Monthly energy review, June 1999

    SciTech Connect (OSTI)

    NONE

    1999-06-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 61 tabs.

  2. Monthly energy review, July 1999

    SciTech Connect (OSTI)

    NONE

    1999-07-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. 37 figs., 75 tabs.

  3. EPSRC CASE Studentship Statistical Modelling of Fingerprints

    E-Print Network [OSTI]

    Oakley, Jeremy

    and mathematics together with experience or strong interest in statistical computing (including programming in R1 EPSRC CASE Studentship Statistical Modelling of Fingerprints SUMMARY This CASE studentship involves working with researchers in the Statistics & Interpretation Group of the Forensic Science Service

  4. [Article 1 of 7: Motivates and Includes the Consumer

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

    and include the consumer exist. Some examples include advanced two-way metering (AMI), demand response (DR), and distributed energy resources (DER). A common misconception is...

  5. Cluster Statistics

    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, Ocean and SeaClotClusterHopper

  6. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    contract price for power generation Coal market price forPrice and Coal Market Price for Power Generation RMB (

  7. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    contract price for power generation Coal market price forPrice and Coal Market Price for Power Generation RMB (Coal Oil Natural Gas Hydro Nuclear Wind Other Renewables Primary Electricity Generation

  8. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Source Products Petroleum Indigenous Production IndigenousGas Petroleum Other Products Refinery Production by ProductPetroleum Other Products Natural Gas Indigenous Production

  9. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Source Products Petroleum Indigenous Production IndigenousSource Products Petroleum Indigenous Production IndigenousGasoline Liquid Petroleum Gas Refinery Production by Product

  10. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Others Total Oil Refining by Product (1985-2009) AAGR MtceProduction by Product Shares Diesel Oil Fuel Oil GasolineProducts Mt Petroleum Products Mt Crude Oil Mt Gasoline Mt

  11. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Others Total Oil Refining by Product (1985-2010) AAGRMtce Mt Fuel Oil Kerosene Petroleum Other Products RefineryProduction by Product Shares Fuel Oil Kerosene Petroleum

  12. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    South Korea Other Crude Oil Production by Region (1985-2010)North West Chinese Crude Oil Production by Regional SharesHenan Other Total Crude Oil Production: 209 Mt China's Crude

  13. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Heating Supply Coal Washing Coking Petroleum Refineries GasPower Heating Supply Coal Washing Coking Total ConsumptionHeating Supply Coal Washing Coking Petroleum Refineries Gas

  14. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Heating Supply Coal Washing Coking Petroleum Refineries GasHeating Supply Coal Washing Coking Petroleum Refineries GasRefueling in China Coal Washing Coking Petroleum Refineries

  15. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Oil Primary Electricity Natural Gas TPE by Fuel Shares *Oil Primary Electricity Natural Gas * Excludes internationalTotal Philippines Total Natural Gas Production by Region (

  16. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Production (Mtce) Coal Oil Natural Gas Nuclear Hydro WindSource Shares* Coal Oil Natural Gas Nuclear Hydro Wind OtherOil Consumption: 445 Mt Natural Gas Production by Region (

  17. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Kerosene Petroleum Other Products Refinery Gas Diesel OilGasoline Liquid Petroleum Gas Refinery Production by ProductPetroleum Other Products Refinery Gas Diesel Oil Gasoline

  18. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Washing Coking Petroleum Refineries Gas Works Gas Works -Gas Petroleum Other Products Refinery Production by ProductGas Petroleum Other Products Refinery Gas Consumption Total

  19. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    239 Mt World's Oil Consumption (2010) US China Japan IndiaKorea Canada Other Total World Oil Consumption: 4,028 MtTotal China Oil Consumption: 445 Mt Natural Gas Production

  20. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Construction Other Oil Consumption by Sector (1980-2009) Mtto "Other". Final Oil Consumption by Sectoral SharesOil Natural Gas Note: Data based on total final consumption

  1. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Xinjiang Liaoning Inner Mongolia Gansu Hebei Beijing Qinghaiin China (2010) Inner Mongolia Shanxi Shaanxi Henan GuizhouIndonesia Australia Vietnam Mongolia Russia South Africa

  2. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    Shanxi Heilongjiang Yunnan Ningxia Inner Mongolia (East)Guizhou Inner Mongolia (West) Qinghai Residential Gas PriceJilin Shaanxi Henan Inner Mongolia Ningxia Gansu Sichuan

  3. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    South Korea Other Crude Oil Production by Region (1985-2010)West Chinese Crude Oil Production by Regional Shares EastHenan Other Total Crude Oil Production: 209 Mt China's Crude

  4. Key China Energy Statistics 2011

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    China Oil Use Refinery Loss/Self Use Residential Power Generation/Heat Commerce, Const. , Agriculture, Gov.

  5. Key China Energy Statistics 2012

    E-Print Network [OSTI]

    Levine, Mark

    2013-01-01T23:59:59.000Z

    China Oil Use Refinery Loss/Self Use Residential Power Generation/Heat Commerce, Const. , Agriculture, Gov.

  6. Independent Statistics & Analysis

    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 Stocks at1,066,688ElectricityLessApril 2015 Independent Statistics &

  7. FY 2009 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical

  8. ARM - Historical Visitor Statistics

    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 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral ChangesFieldVisitor Statistics

  9. PDSF Cluster Statistics

    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 access toTest andOptimize832 2.860 2.864 2.867039 J -Statistics

  10. FISHERY STATISTICS UNITED STATES

    E-Print Network [OSTI]

    FISHERY STATISTICS OF THE UNITED STATES 1972 STATISTICAL DIGEST NO. 66 Prepared by STATISTICS;ACKNOWLEDGMENTS The data in this edition of "Fishery Statistics of the United States" were collected in co- operation with the various States and tabulated by the staff of the Statistics and Market News Division

  11. Thermovoltaic semiconductor device including a plasma filter

    DOE Patents [OSTI]

    Baldasaro, Paul F. (Clifton Park, NY)

    1999-01-01T23:59:59.000Z

    A thermovoltaic energy conversion device and related method for converting thermal energy into an electrical potential. An interference filter is provided on a semiconductor thermovoltaic cell to pre-filter black body radiation. The semiconductor thermovoltaic cell includes a P/N junction supported on a substrate which converts incident thermal energy below the semiconductor junction band gap into electrical potential. The semiconductor substrate is doped to provide a plasma filter which reflects back energy having a wavelength which is above the band gap and which is ineffectively filtered by the interference filter, through the P/N junction to the source of radiation thereby avoiding parasitic absorption of the unusable portion of the thermal radiation energy.

  12. Quantum particles from classical statistics

    E-Print Network [OSTI]

    C. Wetterich

    2010-02-11T23:59:59.000Z

    Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference. The dynamics differs, however, between quantum and classical particles. We describe position, motion and correlations of a quantum particle in terms of observables in a classical statistical ensemble. On the other side, we also construct explicitly the quantum formalism with wave function and Hamiltonian for classical particles. For a suitable time evolution of the classical probabilities and a suitable choice of observables all features of a quantum particle in a potential can be derived from classical statistics, including interference and tunneling. Besides conceptual advances, the treatment of classical and quantum particles in a common formalism could lead to interesting cross-fertilization between classical statistics and quantum physics.

  13. The MSc programme in Environomical Pathways for Sustainable Energy Systems (SELECT) is a cooperation bet-ween seven top universities in Europe.It is a two year master programme including compulsory mobility for the

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    The MSc programme in Environomical Pathways for Sustainable Energy Systems (SELECT Description Sustainable energy service is one of the key issues for humanity and central to the SELECT to estab- lish the environomical pathways towards future sustainable energy systems. Year 1 focuses

  14. Countries Gasoline Prices Including Taxes

    Gasoline and Diesel Fuel Update (EIA)

    Selected Countries (U.S. dollars per gallon, including taxes) Date Belgium France Germany Italy Netherlands UK US 51115 6.15 6.08 6.28 6.83 6.96 6.75 3.06 5415 6.14 6.06...

  15. Sponsorship includes: Agriculture in the

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Sponsorship includes: · Agriculture in the Classroom · Douglas County Farm Bureau · Gifford Farm · University of Nebraska Agricultural Research and Development Center · University of Nebraska- Lincoln Awareness Coalition is to help youth, primarily from urban communities, become aware of agriculture

  16. Monthly energy review, September 1997

    SciTech Connect (OSTI)

    NONE

    1997-09-01T23:59:59.000Z

    This publication presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Information is also provided on international energy, including petroleum production, consumption, and stocks and nuclear electricity gross generation. This issues provides a brief industry overview and a detailed analysis of the spring 1996 gasoline price runup, crude oil supply issues, U.S. crude oil imports, petroleum stocks, futures markets, refining cash margin trends, and the financial performance of U.S. refining and marketing firms. 37 figs., 73 tabs.

  17. STATISTICAL MECHANICS PRACTICE EXAM 2005

    E-Print Network [OSTI]

    Dorlas, Teunis C.

    STATISTICAL MECHANICS PRACTICE EXAM 2005 Time allotted: 3 hours for 5 questions. 1. (i) Give density of a system of independent spins si = ±1 with energy levels given by E(s1, . . . , sN ) = -H N i=1 si. 2. (i) Derive the expression f() = - 1 ln eJ cosh H + e2J sinh2 H + e-2J for the free energy

  18. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    Turbine," in 2002 ASME Wind Energy Symposium , 2002, pp.turbine," in 2001 ASME Wind Energy Symposium , 2001, pp.Program," in 2001 ASME Wind Energy Symposium , 2001, pp.

  19. A multi-scale approach to statistical and model-based structural health monitoring with application to embedded sensing for wind energy

    E-Print Network [OSTI]

    Taylor, Stuart Glynn

    2013-01-01T23:59:59.000Z

    the LIST Wind Turbine," in 2002 ASME Wind Energy Symposium ,from the LIST turbine," in 2001 ASME Wind Energy Symposium ,wind energy production site in the Great Plains. The Micon 65/13 model turbine

  20. Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics

    E-Print Network [OSTI]

    R. K. Saxena; A. M. Mathai; H. J. Haubold

    2004-06-22T23:59:59.000Z

    We present an analytic proof of the integrals for astrophysical thermonuclear functions which are derived on the basis of Boltzmann-Gibbs statistical mechanics. Among the four different cases of astrophysical thermonuclear functions, those with a depleted high-energy tail and a cut-off at high energies find a natural interpretation in q-statistics.

  1. Electric power monthly, September 1990. [Glossary included

    SciTech Connect (OSTI)

    Not Available

    1990-12-17T23:59:59.000Z

    The purpose of this report is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues. The power plants considered include coal, petroleum, natural gas, hydroelectric, and nuclear power plants. Data are presented for power generation, fuel consumption, fuel receipts and cost, sales of electricity, and unusual occurrences at power plants. Data are compared at the national, Census division, and state levels. 4 figs., 52 tabs. (CK)

  2. Countries Gasoline Prices Including Taxes

    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 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2 Year-3ThousandYear

  3. China Energy Databook. Revision 4

    SciTech Connect (OSTI)

    Sinton, J. E.; Fridley, D. G.; Levine, M. D.; Yang, F.; Zhenping, J.; Xing, Z.; Kejun, J.; Xiaofeng, L.

    1996-09-01T23:59:59.000Z

    The Energy Analysis Program at LBL first became involved in Chinese energy issues through a joint China-US symposium on markets and energy demand held in Nanjing Nov. 1988. EAP began to collaborate on projects with the Energy Research Institute of China`s State Planning Commission. It was decided to compile, assess, and organize Chinese energy data. Primary interest was to use the data to help understand the historical evolution and likely future of the Chinese energy system; thus the primary criterion was to relate the data to the structure of energy supply and demand in the past and to indicate probable developments (eg, as indicated by patterns of investment). Caveats are included in forewords to both the 1992 and 1996 editions. A chapter on energy prices is included in the 1996 edition. 1993 energy consumption data are not included since there was a major disruption in energy statistical collection in China that year.

  4. China Energy Databook - Rev. 4

    E-Print Network [OSTI]

    Sinton Editor, J.E.

    2010-01-01T23:59:59.000Z

    containing monthly energy production statistics] ChinaReserves Chapter IL Energy Production Chapter III. EnergyCountries CHAPTER II. ENERGY PRODUCTION 1. Primary Energy

  5. Neutron Total Cross Sections of {sup 235}U From Transmission Measurements in the Energy Range 2 keV to 300 keV and Statistical Model Analysis of the Data

    SciTech Connect (OSTI)

    Derrien, H.; Harvey, J.A.; Larson, N.M.; Leal, L.C.; Wright, R.Q.

    2000-05-01T23:59:59.000Z

    The average {sup 235}U neutron total cross sections were obtained in the energy range 2 keV to 330 keV from high-resolution transmission measurements of a 0.033 atom/b sample.1 The experimental data were corrected for the contribution of isotope impurities and for resonance self-shielding effects in the sample. The results are in very good agreement with the experimental data of Poenitz et al.4 in the energy range 40 keV to 330 keV and are the only available accurate experimental data in the energy range 2 keV to 40 keV. ENDF/B-VI evaluated data are 1.7% larger. The SAMMY/FITACS code 2 was used for a statistical model analysis of the total cross section, selected fission cross sections and data in the energy range 2 keV to 200 keV. SAMMY/FITACS is an extended version of SAMMY which allows consistent analysis of the experimental data in the resolved and unresolved resonance region. The Reich-Moore resonance parameters were obtained 3 from a SAMMY Bayesian fits of high resolution experimental neutron transmission and partial cross section data below 2.25 keV, and the corresponding average parameters and covariance data were used in the present work as input for the statistical model analysis of the high energy range of the experimental data. The result of the analysis shows that the average resonance parameters obtained from the analysis of the unresolved resonance region are consistent with those obtained in the resolved energy region. Another important result is that ENDF/B-VI capture cross section could be too small by more than 10% in the energy range 10 keV to 200 keV.

  6. On diagram algebras and statistical mechanics

    E-Print Network [OSTI]

    Haase, Markus

    to discuss relationship structures of towers of diagram algebras statistical mechanical models of many body framework H may have interpretation of Energy (ergodic hypothesis) (as in, the more energy required to sustain a state s, the less likely we are to be in it -- idea being that high energy states are less

  7. Statistical Language Modelling 

    E-Print Network [OSTI]

    Gotoh, Yoshihiko; Renals, Steve

    2003-01-01T23:59:59.000Z

    the underlying models from large amounts of data. Importantly, such statistical approaches often produce useful results. Statistical approaches seem especially well-suited to spoken language which is often spontaneous or conversational and not readily amenable...

  8. Interpreting Accident Statistics

    E-Print Network [OSTI]

    Ferreira, Joseph Jr.

    Accident statistics have often been used to support the argument that an abnormally small proportion of drivers account for a large proportion of the accidents. This paper compares statistics developed from six-year data ...

  9. 15.075 Applied Statistics, Spring 2003

    E-Print Network [OSTI]

    Newton, Elizabeth

    This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and ...

  10. Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006

    E-Print Network [OSTI]

    Fienberg, Stephen E.

    , Journal of the American Statistical Association, Journal of the Royal Statistical Society, StatisticalStatistics 36-756: Advanced Statistics II Syllabus: Fall, 2006 Instructor: Stephen E. Fienberg 132G: · To consider major topics from statistical theory and the foundations of inference not covered in Statistics 36

  11. Statistics Statistique Canada Canada

    E-Print Network [OSTI]

    Sinnamon, Gordon J.

    Statistics Statistique Canada Canada Human Resources and Ressources humaines et Skills Development Canada Développement des compétences Canada Culture,Tourism and the Centre for Education Statistics about this product or the wide range of services and data available from Statistics Canada, visit our

  12. STATISTICAL COMPUTING AND GRAPHICS

    E-Print Network [OSTI]

    Masci, Frank

    Marron for a helpful comment. @ 1997 American Statistical Association bin width should be chosen soSTATISTICAL COMPUTING AND GRAPHICS Data-Based Choice of Histogram Bin Width The most important of the "optimal" bin width. Default bin widths in most common statistical packages are, at least for large samples

  13. Statistical Convergence and Convergence in Statistics

    E-Print Network [OSTI]

    Mark Burgin; Oktay Duman

    2006-12-07T23:59:59.000Z

    Statistical convergence was introduced in connection with problems of series summation. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with other elements. We show (Section 2) that being mathematically formalized the concept of statistical convergence is directly connected to convergence of such statistical characteristics as the mean and standard deviation. At the same time, it known that sequences that come from real life sources, such as measurement and computation, do not allow, in a general case, to test whether they converge or statistically converge in the strict mathematical sense. To overcome limitations induced by vagueness and uncertainty of real life data, neoclassical analysis has been developed. It extends the scope and results of the classical mathematical analysis by applying fuzzy logic to conventional mathematical objects, such as functions, sequences, and series. The goal of this work is the further development of neoclassical analysis. This allows us to reflect and model vagueness and uncertainty of our knowledge, which results from imprecision of measurement and inaccuracy of computation. In the context on the theory of fuzzy limits, we develop the structure of statistical fuzzy convergence and study its properties.

  14. International Petroleum Statistics Report, July 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-26T23:59:59.000Z

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1993; OECD stocks from 1973 through 1993; and OECD trade from 1983 through 1993. Data for the United States are developed by the Energy Information Administration`s (EIA) Office of Oil and Gas. Data for other countries are derived largely from published sources, including International Energy Agency publications, the EIA International Energy Annual, and the trade press. (See sources after each section.) All data are reviewed by the International Statistics Branch of EIA. All data have been converted to units of measurement familiar to the American public. Definitions of oil production and consumption are consistent with other EIA publications.

  15. Fast Approximate Evaluation of OLAP Queries for Integrated Statistical Data

    E-Print Network [OSTI]

    Shahabi, Cyrus

    statistical information about energy prod- ucts from several government agencies, such as the Bureau of Labor Statistics, the Energy Information Administration, and the California Energy Commission. Our architecture has of interactivity that some users require. Second, our system can warehouse the information from the data sources

  16. BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics the following: Stat 121 Principles of Statistics Stat 151 Introduction to Bayesian Statistics Stat 201 Statistics for Engineers & Scientists Stat 301 Statistics & Probability for Sec Ed Note: Students who have

  17. Statistics 221 Statistical Computing Methods Instructor: Mark Irwin

    E-Print Network [OSTI]

    Irwin, Mark E.

    Linear algebra, Statistics 111, and knowledge of a computer programming language. Statistics 220 (1988). Elements of Statistical Computing: Numerical Computation. CRC Press. Splus / R: Venables WNStatistics 221 ­ Statistical Computing Methods Instructor: Mark Irwin Office: Science Center 235

  18. A statistical view on nuclear mass formula based on liquid drop model

    E-Print Network [OSTI]

    Cenxi Yuan

    2014-07-15T23:59:59.000Z

    The statistical method can be used to verify whether a theory is improved or not. As an example, a statistical study is applied to the error of the nuclear binding energy between the observed values and the theoretical values from the mass formula based on the liquid drop model (LDM). A new shell correction term is introduced to the traditional LDM. With such improvement, the error shows smaller standard deviation, better normality, reduced systematic part, and less dependent on the shell effect. The inclusion of the shell effect can be concluded to be an improvement purely from a statistical view. The present eight-parameter mass formula including shell effect gives standard deviation $\\sigma=1.4$ MeV for $2350$ observed binding energies from AME2012.

  19. 1 Statistics Statistics plays an important role throughout society, providing

    E-Print Network [OSTI]

    Vertes, Akos

    1 Statistics STATISTICS Statistics plays an important role throughout society, providing data. They also explore how those skills can be applied to develop new initiatives. Statistics is one. UNDERGRADUATE Bachelor's program · Bachelor of Science with a major in statistics (http:// bulletin.gwu.edu/arts-sciences/statistics

  20. Practical Statistical Thinking Probability: The Language of Statistics

    E-Print Network [OSTI]

    Practical Statistical Thinking Probability: The Language of Statistics Essentials of Statistics and Probability Dhruv Sharma May 22, 2007 Department of Statistics, NC State University dbsharma@ncsu.edu SAMSI Undergrad Workshop Dhruv Sharma Essentials of Statistics and Probability #12;Practical Statistical Thinking

  1. Monthly energy review, March 1998

    SciTech Connect (OSTI)

    NONE

    1998-03-01T23:59:59.000Z

    The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Energy production during December 1997 totaled 5.9 quadrillion Btu, a 2.8 percent increase from the level of production during December 1996. Coal production increased 9.5 percent, natural gas production increased 3.9 percent, and production of crude oil and natural gas plant liquids decreased 1.1 percent. All other forms of energy production combined were down 6.9 percent from the level of production during December 1996.

  2. Edinburgh Research Explorer Statistical Constraints

    E-Print Network [OSTI]

    Millar, Andrew J.

    Edinburgh Research Explorer Statistical Constraints Citation for published version: Rossi, R that links statistics and constraint programming. We dis- cuss two novel statistical constraints and some, Prestwich, S & Tarim, SA 2014, 'Statistical Constraints' Paper presented at 21st biennial European

  3. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    of Labor Statistics. Energy Efficiency Services Sector:Department of Energy, Energy Efficiency and Renewable EnergyDepartment of Energy, Energy Efficiency and Renewable Energy

  4. Case Studies and Computing: Broadening the scope of statistical education

    E-Print Network [OSTI]

    Nolan, Deborah

    Case Studies and Computing: Broadening the scope of statistical education Deborah Nolan University theoretical statis- tics course. Sixty students enrolled in this course, including graduate students

  5. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it

  6. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    2004-01-01T23:59:59.000Z

    In this first part of the book we shall study aspects of classical statistical physics that every physicist should know, but are not usually treated in elementary thermodynamics courses. Our study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. In Chap. 2 we will study kinetic theory — the simplest of all formalisms for analyzing systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the frame-independent laws it

  7. Part I STATISTICAL PHYSICS 1 Statistical Physics

    E-Print Network [OSTI]

    unknown authors

    In this first part of the book we shall study aspects of classical statistical physics that every physicist should know but are not usually treated in elementary thermodynamics courses. This study will lay the microphysical (particle-scale) foundations for the continuum physics of Parts II—VI. Throughout, we shall presume that the reader is familiar with elementary thermodynamics, but not with other aspects of statistical physics. As a central feature of our approach, we shall emphasize the intimate connections between the relativistic formulation of statistical physics and its nonrelativistic limit, and between quantum statistical physics and the classical theory. Chapter 2 will deal with kinetic theory, which is the simplest of all formalisms for studying systems of huge numbers of particles (e.g., molecules of air, or neutrons diffusing through a nuclear reactor, or photons produced in the big-bang origin of the Universe). In kinetic theory the key concept is the “distribution function ” or “number density of particles in phase space”, N; i.e., the number of particles per unit 3-dimensional volume of ordinary space and per unit 3-dimensional volume of momentum space. Despite first appearances, N turns out to be a geometric, frame-independent entity. This N and the laws it obeys provide

  8. R for Statistics Rafal Kulik

    E-Print Network [OSTI]

    Kulik, Rafal

    R for Statistics Rafal Kulik Department of Mathematics and Statistics University of Ottawa Statistical Society of Ottawa 23 September 2011 Rafal Kulik #12;R for Statistics SSO meeting Plan Rafal Kulik 1 #12;R for Statistics SSO meeting Plan What is R? Rafal Kulik 1 #12;R for Statistics SSO meeting

  9. Stellar Evolution A Statistical Model

    E-Print Network [OSTI]

    van Dyk, David

    Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Statistical Analysis of Stellar Evolution David A. van Dyk1 Steven DeGennaro2 Nathan Stein2 William H Statistical Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation

  10. Statistical Digest No. 71 Fishery Statistics of

    E-Print Network [OSTI]

    , freezings and cold storage holdings, and foreign trade in fishery commodities. Landings data do not include

  11. 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2007

    E-Print Network [OSTI]

    Kardar, Mehran

    Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...

  12. 8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2005

    E-Print Network [OSTI]

    Kardar, Mehran

    Statistical Mechanics is a probabilistic approach to equilibrium properties of large numbers of degrees of freedom. In this two-semester course, basic principles are examined. Topics include: thermodynamics, probability ...

  13. Weakly sufficient quantum statistics

    E-Print Network [OSTI]

    Katarzyna Lubnauer; Andrzej ?uczak; Hanna Pods?dkowska

    2009-11-23T23:59:59.000Z

    Some aspects of weak sufficiency of quantum statistics are investigated. In particular, we give necessary and sufficient conditions for the existence of a weakly sufficient statistic for a given family of vector states, investigate the problem of its minimality, and find the relation between weak sufficiency and other notions of sufficiency employed so far.

  14. Statistical laws in linguistics

    E-Print Network [OSTI]

    Altmann, Eduardo G

    2015-01-01T23:59:59.000Z

    Zipf's law is just one out of many universal laws proposed to describe statistical regularities in language. Here we review and critically discuss how these laws can be statistically interpreted, fitted, and tested (falsified). The modern availability of large databases of written text allows for tests with an unprecedent statistical accuracy and also a characterization of the fluctuations around the typical behavior. We find that fluctuations are usually much larger than expected based on simplifying statistical assumptions (e.g., independence and lack of correlations between observations).These simplifications appear also in usual statistical tests so that the large fluctuations can be erroneously interpreted as a falsification of the law. Instead, here we argue that linguistic laws are only meaningful (falsifiable) if accompanied by a model for which the fluctuations can be computed (e.g., a generative model of the text). The large fluctuations we report show that the constraints imposed by linguistic laws...

  15. Statistical regimes of random laser fluctuations

    SciTech Connect (OSTI)

    Lepri, Stefano [Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, via Madonna del Piano 10, I-50019 Sesto Fiorentino (Italy); Cavalieri, Stefano [Dipartimento di Fisica, Universita di Firenze, via G. Sansone 1, I-50019 Sesto Fiorentino (Italy); European Laboratory for Non-linear Spectroscopy, via N. Carrara 1, I-50019 Sesto Fiorentino (Italy); Oppo, Gian-Luca [SUPA and Department of Physics, University of Strathclyde, 107 Rottenrow, Glasgow, G4 0NG, Scotland (United Kingdom); Wiersma, Diederik S. [European Laboratory for Non-linear Spectroscopy, via N. Carrara 1, I-50019 Sesto Fiorentino (Italy); BEC-INFM Center, I-38050 Povo, Trento (Italy)

    2007-06-15T23:59:59.000Z

    Statistical fluctuations of the light emitted from amplifying random media are studied theoretically and numerically. The characteristic scales of the diffusive motion of light lead to Gaussian or power-law (Levy) distributed fluctuations depending on external control parameters. In the Levy regime, the output pulse is highly irregular leading to huge deviations from a mean-field description. Monte Carlo simulations of a simplified model which includes the population of the medium demonstrate the two statistical regimes and provide a comparison with dynamical rate equations. Different statistics of the fluctuations helps to explain recent experimental observations reported in the literature.

  16. Prospects for in vivo estimation of photon linear attenuation coefficients using postprocessing dual-energy CT imaging on a commercial scanner: Comparison of analytic and polyenergetic statistical reconstruction algorithms

    SciTech Connect (OSTI)

    Evans, Joshua D., E-mail: jevans2@mcvh-vcu.edu; Yu, Yaduo; Williamson, Jeffrey F. [Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 (United States)] [Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 (United States); Whiting, Bruce R. [Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213 (United States)] [Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213 (United States); O’Sullivan, Joseph A. [Department of Electrical and Systems Engineering, Washington University, St. Louis, Missouri 63130 (United States)] [Department of Electrical and Systems Engineering, Washington University, St. Louis, Missouri 63130 (United States); Politte, David G. [Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri 63110 (United States)] [Mallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri 63110 (United States); Klahr, Paul H. [Philips Healthcare, 595 Miner Rd., Highland Hts., Ohio 44143 (United States)] [Philips Healthcare, 595 Miner Rd., Highland Hts., Ohio 44143 (United States)

    2013-12-15T23:59:59.000Z

    Purpose: Accurate patient-specific photon cross-section information is needed to support more accurate model-based dose calculation for low energy photon-emitting modalities in medicine such as brachytherapy and kilovoltage x-ray imaging procedures. A postprocessing dual-energy CT (pDECT) technique for noninvasivein vivo estimation of photon linear attenuation coefficients has been experimentally implemented on a commercial CT scanner and its accuracy assessed in idealized phantom geometries. Methods: Eight test materials of known composition and density were used to compare pDECT-estimated linear attenuation coefficients to NIST reference values over an energy range from 10 keV to 1 MeV. As statistical image reconstruction (SIR) has been shown to reconstruct images with less random and systematic error than conventional filtered backprojection (FBP), the pDECT technique was implemented with both an in-house polyenergetic SIR algorithm, alternating minimization (AM), as well as a conventional FBP reconstruction algorithm. Improvement from increased spectral separation was also investigated by filtering the high-energy beam with an additional 0.5 mm of tin. The law of propagated uncertainty was employed to assess the sensitivity of the pDECT process to errors in reconstructed images. Results: Mean pDECT-estimated linear attenuation coefficients for the eight test materials agreed within 1% of NIST reference values for energies from 1 MeV down to 30 keV, with mean errors rising to between 3% and 6% at 10 keV, indicating that the method is unbiased when measurement and calibration phantom geometries are matched. Reconstruction with FBP and AM algorithms conferred similar mean pDECT accuracy. However, single-voxel pDECT estimates reconstructed on a 1 × 1 × 3 mm{sup 3} grid are shown to be highly sensitive to reconstructed image uncertainty; in some cases pDECT attenuation coefficient estimates exhibited standard deviations on the order of 20% around the mean. Reconstruction with the statistical AM algorithm led to standard deviations roughly 40% to 60% less than FBP reconstruction. Additional tin filtration of the high energy beam exhibits similar pDECT estimation accuracy as the unfiltered beam, even when scanning with only 25% of the dose. Using the law of propagated uncertainty, low Z materials are found to be more sensitive to image reconstruction errors than high Z materials. Furthermore, it is estimated that reconstructed CT image uncertainty must be limited to less than 0.25% to achieve a target linear-attenuation coefficient estimation uncertainty of 3% at 28 keV. Conclusions: That pDECT supports mean linear attenuation coefficient measurement accuracies of 1% of reference values for energies greater than 30 keV is encouraging. However, the sensitivity of the pDECT measurements to noise and systematic errors in reconstructed CT images warrants further investigation in more complex phantom geometries. The investigated statistical reconstruction algorithm, AM, reduced random measurement uncertainty relative to FBP owing to improved noise performance. These early results also support efforts to increase DE spectral separation, which can further reduce the pDECT sensitivity to measurement uncertainty.

  17. analysis sampling statistics: Topics by E-print Network

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

    bounds point out a difficu... Blum, A S; Blum, Avrim; Yang, Ke 2003-01-01 39 Statistical Energy Analysis 2 Long. 3 Long. Energy Storage, Conversion and Utilization Websites...

  18. Protein Folding: A Perspective From Statistical Physics

    E-Print Network [OSTI]

    Jinzhi Lei; Kerson Huang

    2010-02-26T23:59:59.000Z

    In this paper, we introduce an approach to the protein folding problem from the point of view of statistical physics. Protein folding is a stochastic process by which a polypeptide folds into its characteristic and functional 3D structure from random coil. The process involves an intricate interplay between global geometry and local structure, and each protein seems to present special problems. We introduce CSAW (conditioned self-avoiding walk), a model of protein folding that combines the features of self-avoiding walk (SAW) and the Monte Carlo method. In this model, the unfolded protein chain is treated as a random coil described by SAW. Folding is induced by hydrophobic forces and other interactions, such as hydrogen bonding, which can be taken into account by imposing conditions on SAW. Conceptually, the mathematical basis is a generalized Langevin equation. To illustrate the flexibility and capabilities of the model, we consider several examples, including helix formation, elastic properties, and the transition in the folding of myoglobin. From the CSAW simulation and physical arguments, we find a universal elastic energy for proteins, which depends only on the radius of gyration $R_{g}$ and the residue number $N$. The elastic energy gives rise to scaling laws $R_{g}\\sim N^{\

  19. Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014

    E-Print Network [OSTI]

    Stuart, Josh

    Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014 http PSYC 181 CMPE 108 SOCY 103A CMPS 142 TIM 230 Information on the Statistics Minor The statistics minor as preparation for a graduate degree in statistics or biostatistics. Course Information With permission from

  20. Statistics: Part 1 1. Why bother with statistics?

    E-Print Network [OSTI]

    Francis, Paul

    Statistics: Part 1 1. Why bother with statistics? Why is statistics so necessary for observational. But your data just don't seem to back up their claim. Statistics allows you to determine how confidently) practical introduction to those bits of statistics most vital to observational astronomy. 2. What

  1. Statistics and Quantitative Risk Management for Banking and In-

    E-Print Network [OSTI]

    Embrechts, Paul

    Statistics and Quantitative Risk Management for Banking and In- surance Paul Embrechts Risk practice Abstract As an emerging field of applied research, Quantitative Risk Management (QRM) poses a lot management. Topics treated include the use of risk measures in regulation, including their statistical

  2. FISHERY STATISTICS E UNITED STATES

    E-Print Network [OSTI]

    SH 11 .A443X FISH FISHERY STATISTICS E UNITED STATES ^ 1951 &ch 3. \\§^ ^/'· m:^ STATISTICAL DIGEST. Farley, Director Statistical Digest 30 FISHERY STATISTICS OF THE UNITED STATES 1951 BY A. W. ANDERSON;Fishery Statistics of the United States and Alaska are compiled and published annually to make available

  3. Stellar Evolution A Statistical Model

    E-Print Network [OSTI]

    van Dyk, David

    Stellar Evolution A Statistical Model Statistical Computation Analysis of the Hyades Cluster Embedding Computer Models for Stellar Evolution into a Coherent Statistical Analysis David A. van Dyk1 Analysis of Stellar Evolution #12;Stellar Evolution A Statistical Model Statistical Computation Analysis

  4. Statistical physics of networks, information and complex systems

    SciTech Connect (OSTI)

    Ecke, Robert E [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    In this project we explore the mathematical methods and concepts of statistical physics that are fmding abundant applications across the scientific and technological spectrum from soft condensed matter systems and bio-infonnatics to economic and social systems. Our approach exploits the considerable similarity of concepts between statistical physics and computer science, allowing for a powerful multi-disciplinary approach that draws its strength from cross-fertilization and mUltiple interactions of researchers with different backgrounds. The work on this project takes advantage of the newly appreciated connection between computer science and statistics and addresses important problems in data storage, decoding, optimization, the infonnation processing properties of the brain, the interface between quantum and classical infonnation science, the verification of large software programs, modeling of complex systems including disease epidemiology, resource distribution issues, and the nature of highly fluctuating complex systems. Common themes that the project has been emphasizing are (i) neural computation, (ii) network theory and its applications, and (iii) a statistical physics approach to infonnation theory. The project's efforts focus on the general problem of optimization and variational techniques, algorithm development and infonnation theoretic approaches to quantum systems. These efforts are responsible for fruitful collaborations and the nucleation of science efforts that span multiple divisions such as EES, CCS, 0 , T, ISR and P. This project supports the DOE mission in Energy Security and Nuclear Non-Proliferation by developing novel infonnation science tools for communication, sensing, and interacting complex networks such as the internet or energy distribution system. The work also supports programs in Threat Reduction and Homeland Security.

  5. Oregon: a guide to geothermal energy development. [Includes glossary

    SciTech Connect (OSTI)

    Justus, D.; Basescu, N.; Bloomquist, R.G.; Higbee, C.; Simpson, S.

    1980-06-01T23:59:59.000Z

    The following subjects are covered: Oregons' geothermal potential, exploration methods and costs, drilling, utilization methods, economic factors of direct use projects, and legal and institutional setting. (MHR)

  6. Including Retro-Commissioning in Federal Energy Savings Performance...

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

    that may have otherwise been overlooked. Generally, retro-commissioning requires data logging of equipment operations, which provides additional documentation of the pre-...

  7. Spectral statistics of nearly unidirectional quantum graphs

    E-Print Network [OSTI]

    Maram Akila; Boris Gutkin

    2015-03-04T23:59:59.000Z

    The energy levels of a quantum graph with time reversal symmetry and unidirectional classical dynamics are doubly degenerate and obey the spectral statistics of the Gaussian Unitary Ensemble. These degeneracies, however, are lifted when the unidirectionality is broken in one of the graph's vertices by a singular perturbation. Based on a Random Matrix model we derive an analytic expression for the nearest neighbour distribution between energy levels of such systems. As we demonstrate the result agrees excellently with the actual statistics for graphs with a uniform distribution of eigenfunctions. Yet, it exhibits quite substantial deviations for classes of graphs which show strong scarring.

  8. School of Mathematics and Statistics

    E-Print Network [OSTI]

    Du, Jie

    School of Mathematics and Statistics Faculties of Arts Economics, Education, Engineering and Science INTERMEDIATE MATHEMATICS and STATISTICS 2012 THE UNIVERSITY OF SYDNEY #12;Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 STAT2911 Probability and Statistical Models (Advanced) . . . . . . . . . . . 16 STAT2912

  9. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-05-01T23:59:59.000Z

    Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - ``perfect`` in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can`t eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger ``population`` of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition ``IAEA Safeguards: Statistical Concepts and Techniques`` and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.

  10. Statistics applied to safeguards

    SciTech Connect (OSTI)

    Picard, R.R.

    1993-01-01T23:59:59.000Z

    Statistical methods are central to safeguards work. Measurements forming the basis of much materials accountancy are not perfect - perfect'' in the sense of being error free. Other sessions in this course address the destructive and nondestructive measurement of nuclear material, together with the inherent limitations in those measurements. The bottom line is that measurement errors are a fact of life and, since we can't eliminate them, we have to find a rational way to deal with them. Which leads to the world of statistics. Beyond dealing with measurement errors, another area of statistical application involves the sampling of items for verification. Inspectors from the IAEA and domestic regulatory agencies periodically visit operating facilities and make measurements of selected items. By comparing their own measured values to those declared by the facilities, increased confidence is obtained. If verification measurements were not expensive, time consuming, and disruptive to operations, perhaps verification of 100% of the inventories would be desirable. In reality, many constraints lead to inspection of only a portion of those inventories. Drawing inferences about a larger population'' of declared items in a facility based on verification information obtained from a sample of those items is a statistical problem. There are few texts on statistics in safeguards. The lengthy exposition IAEA Safeguards: Statistical Concepts and Techniques'' and the US NRC book edited by Bowen and Bennet are two good sources of general information. In the next section, the subject of measurement quality is addressed. The third section covers the evaluation of MUFs, and discusses the related subjects of error propagation and sequential analysis. The final section covers verification, inspection sample size calculations, and the D statistic. The text is written at an elementary level, with references to the safeguards literature for more detailed treatment.

  11. Statistics and samples 1.1 What is statistics?

    E-Print Network [OSTI]

    Irwin, Darren

    1 1 Statistics and samples 1.1 What is statistics? Biologists study the properties of living things to get sam- pled and who did not. Statistics is a technology that describes and measures aspects of nature from samples. Most importantly, statistics lets us quantify the uncertainty of these meas- ures

  12. Pearson's Goodness of Fit Statistic as a Score Test Statistic

    E-Print Network [OSTI]

    Smyth, Gordon K.

    Pearson's Goodness of Fit Statistic as a Score Test Statistic Gordon K. Smyth Abstract For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing and the residual deviance is therefore the relationship between the score test and the likelihood ratio test

  13. Statistical Learning Theory of Protein Dynamics

    E-Print Network [OSTI]

    Haas, Kevin

    2013-01-01T23:59:59.000Z

    integrated statistical learning and simulation approach tomolecular simulation, using statistical learning theory tomolecular simulation and statistical learning theory of

  14. STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS

    E-Print Network [OSTI]

    Gering, Jon C.

    to statistical literacy. The American Statistical Association endorsed the Guidelines for AssessmentSB #3205 STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS Newly-Revised Version: A liberally educated person is capable of being both a producer and a consumer of statistical information with some basic

  15. Interactive Database Access with Statistics and Graphics

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    DbAccess The Manual Interactive Database Access with Statistics and Graphics Version 2.1.1 D. M and graphical needs of NSTX Physicists. Flexible views and joins are possible, including options for complex SQL General Atomics (GA Plot Objects) adds extensive graphical and interactive capabilities (and documentation

  16. BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics

    E-Print Network [OSTI]

    Seamons, Kent E.

    the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear are strongly recommended to choose electives to prepare for the BYU BS/MS statistics integrated program

  17. Annual Energy Review 2010

    SciTech Connect (OSTI)

    None

    2011-10-01T23:59:59.000Z

    This twenty-ninth edition of the Annual Energy Review (AER) presents the U.S. Energy Information Administration’s (EIA) most comprehensive look at integrated energy statistics. The summary statistics on the Nation’s energy production, consumption, trade, stocks, and prices cover all major energy commodities and all energy-consuming sectors of the U.S. economy from 1949 through 2010. The AER is EIA’s historical record of energy statistics and, because the coverage spans six decades, the statistics in this report are well-suited to long-term trend analysis.

  18. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01T23:59:59.000Z

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  19. A Reformed CDM including new Mechanisms for

    E-Print Network [OSTI]

    energy efficiency under the cdm 127 Anne Arquit Niederberger scaliNg UP mitigatiON sectOr NO-lOse targets Laboratory for Sustainable Energy The Technical University of Denmark Box 49 DK-4000 Roskilde, Denmark Tel cooler Poland, global awareness of climate change has accelerated, along with serious concerns about

  20. Statistical data of the uranium industry

    SciTech Connect (OSTI)

    none,

    1982-01-01T23:59:59.000Z

    Statistical Data of the Uranium Industry is a compendium of information relating to US uranium reserves and potential resources and to exploration, mining, milling, and other activities of the uranium industry through 1981. The statistics are based primarily on data provided voluntarily by the uranium exploration, mining, and milling companies. The compendium has been published annually since 1968 and reflects the basic programs of the Grand Junction Area Office (GJAO) of the US Department of Energy. The production, reserves, and drilling information is reported in a manner which avoids disclosure of proprietary information.

  1. A different approach to introducing statistical mechanics

    E-Print Network [OSTI]

    Moore, Thomas A

    2015-01-01T23:59:59.000Z

    The basic notions of statistical mechanics (microstates, multiplicities) are quite simple, but understanding how the second law arises from these ideas requires working with cumbersomely large numbers. To avoid getting bogged down in mathematics, one can compute multiplicities numerically for a simple model system such as an Einstein solid -- a collection of identical quantum harmonic oscillators. A computer spreadsheet program or comparable software can compute the required combinatoric functions for systems containing a few hundred oscillators and units of energy. When two such systems can exchange energy, one immediately sees that some configurations are overwhelmingly more probable than others. Graphs of entropy vs. energy for the two systems can be used to motivate the theoretical definition of temperature, $T= (\\partial S/\\partial U)^{-1}$, thus bridging the gap between the classical and statistical approaches to entropy. Further spreadsheet exercises can be used to compute the heat capacity of an Einst...

  2. BP Statistical Review of World Energy

    E-Print Network [OSTI]

    chief executive's introduction 2 2011 in review 6 Oil 6 Reserves 8 Production and consumption 15 Prices in review Oil 6 Reserves 8 Production and consumption 15 Prices 16 Refining 18 Trade movements Natural gas an Excel workbook of the historical data. About BP BP is one of the world's largest oil and gas companies

  3. Industrial Ventilation Statistics Confirm Energy Savings Opportunity

    E-Print Network [OSTI]

    Litomisky, A.

    2006-01-01T23:59:59.000Z

    is based on installed on-demand ventilation systems, where sensors and PLC are installed with each system, so data is easily collected. Another critical factor for effective dust collecting is proper air velocities in duct system. Having measured air... velocities at drops and at the main ducts of existing classical industrial ventilation designs in 90 factories, 130 systems, and 1000 drops, we have found that only a minimum of air velocities are in the recommended range. There is a striking dichotomy...

  4. Statistical Energy Analysis 2 Long. 3 Long.

    E-Print Network [OSTI]

    Berlin,Technische Universität

    ­ Reciprocity Considerations ­ Multi-modal Systems ­ Multi-modal Coupling ­ Coupling Lossfactor ­ Variance. B.A.T. Petersson #12;6 · Built-up structures ­ Heat pump · Structure-borne waves · Liquid · Single-degree-of-freedom-system, SDOF M RK=1/C x © Prof. B.A.T. Petersson SEA · Forced vibration M RK x F

  5. Homotopy in statistical physics

    E-Print Network [OSTI]

    Ralph Kenna

    2006-04-12T23:59:59.000Z

    In condensed matter physics and related areas, topological defects play important roles in phase transitions and critical phenomena. Homotopy theory facilitates the classification of such topological defects. After a pedagogic introduction to the mathematical methods involved in topology and homotopy theory, the role of the latter in a number of mainly low-dimensional statistical-mechanical systems is outlined. Some recent activities in this area are reviewed and some possible future directions are discussed.

  6. Topic A Note: Includes STEPS Subtopic

    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 AskedEnergyIssuesEnergy SolarRadioactiveI DisposalFive Things You

  7. EPI BIO 560 STATISTICAL CONSULTING 0.5 credit

    E-Print Network [OSTI]

    Contractor, Anis

    that are reproducible. Lecture topics include sample size and power calculation, data collection, data presentation, selecting appropriate statistical methods, time and project management, report writing, and reproducible representation. · Perform sample size and power analysis by hand and with a statistical software package

  8. Weatherization Assistance Program - Background Data and Statistics

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2010-03-01T23:59:59.000Z

    This technical memorandum is intended to provide readers with information that may be useful in understanding the purposes, performance, and outcomes of the Department of Energy's (DOE's) Weatherization Assistance Program (Weatherization). Weatherization has been in operation for over thirty years and is the nation's largest single residential energy efficiency program. Its primary purpose, established by law, is 'to increase the energy efficiency of dwellings owned or occupied by low-income persons, reduce their total residential energy expenditures, and improve their health and safety, especially low-income persons who are particularly vulnerable such as the elderly, the handicapped, and children.' The American Reinvestment and Recovery Act PL111-5 (ARRA), passed and signed into law in February 2009, committed $5 Billion over two years to an expanded Weatherization Assistance Program. This has created substantial interest in the program, the population it serves, the energy and cost savings it produces, and its cost-effectiveness. This memorandum is intended to address the need for this kind of information. Statistically valid answers to many of the questions surrounding Weatherization and its performance require comprehensive evaluation of the program. DOE is undertaking precisely this kind of independent evaluation in order to ascertain program effectiveness and to improve its performance. Results of this evaluation effort will begin to emerge in late 2010 and 2011, but they require substantial time and effort. In the meantime, the data and statistics in this memorandum can provide reasonable and transparent estimates of key program characteristics. The memorandum is laid out in three sections. The first deals with some key characteristics describing low-income energy consumption and expenditures. The second section provides estimates of energy savings and energy bill reductions that the program can reasonably be presumed to be producing. The third section deals with estimates of program cost-effectiveness and societal impacts such as carbon reduction and reduced national energy consumption. Each of the sections is brief, containing statistics, explanatory graphics and tables as appropriate, and short explanations of the statistics in order to place them in context for the reader. The companion appendices at the back of the memorandum explain the methods and sources used in developing the statistics.

  9. Bayesian Statistics Stochastic Simulation -Gibbs sampling

    E-Print Network [OSTI]

    Wright, Francis

    Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors

  10. C. Shane Reese Department of Statistics

    E-Print Network [OSTI]

    Reese, Shane

    , American Statistical Association 2012 Melvin W. Carter Professorship 2010 Karl G. Maeser Excellence.) 2010 American Statistical Association Excellence in Statistics in Sports Award 2008 Howard Christensen Department of Statistics Honored Faculty Member 2001 Journal of the American Statistical Association

  11. 8.592J / HST.452J Statistical Physics in Biology, Spring 2005

    E-Print Network [OSTI]

    Mirny, Leonid

    Statistical Physics in Biology is a survey of problems at the interface of statistical physics and modern biology. Topics include: bioinformatic methods for extracting information content of DNA; gene finding, sequence ...

  12. STAT 639V: Topics in Statistics Statistical Computing

    E-Print Network [OSTI]

    Petris, Giovanni

    methods. Most of the topics will be presented in the context of the R statistical computing language (see below). Computing: The computer language we will be using is R. The latest version of R is installedSTAT 639V: Topics in Statistics Fall 2014 Statistical Computing General Information: Class hours

  13. A unified statistical framework for material decomposition using multienergy photon counting x-ray detectors

    SciTech Connect (OSTI)

    Choi, Jiyoung; Kang, Dong-Goo; Kang, Sunghoon; Sung, Younghun [Samsung Advanced Institute of Technology (SAIT), San 14, Nong-seo dong, Giheung-gu, Yongin, Kyunggi 446-712 (Korea, Republic of)] [Samsung Advanced Institute of Technology (SAIT), San 14, Nong-seo dong, Giheung-gu, Yongin, Kyunggi 446-712 (Korea, Republic of); Ye, Jong Chul [Bio-Imaging and Signal Processing Laboratory, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejon 305-701 (Korea, Republic of)] [Bio-Imaging and Signal Processing Laboratory, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejon 305-701 (Korea, Republic of)

    2013-09-15T23:59:59.000Z

    Purpose: Material decomposition using multienergy photon counting x-ray detectors (PCXD) has been an active research area over the past few years. Even with some success, the problem of optimal energy selection and three material decomposition including malignant tissue is still on going research topic, and more systematic studies are required. This paper aims to address this in a unified statistical framework in a mammographic environment.Methods: A unified statistical framework for energy level optimization and decomposition of three materials is proposed. In particular, an energy level optimization algorithm is derived using the theory of the minimum variance unbiased estimator, and an iterative algorithm is proposed for material composition as well as system parameter estimation under the unified statistical estimation framework. To verify the performance of the proposed algorithm, the authors performed simulation studies as well as real experiments using physical breast phantom and ex vivo breast specimen. Quantitative comparisons using various performance measures were conducted, and qualitative performance evaluations for ex vivo breast specimen were also performed by comparing the ground-truth malignant tissue areas identified by radiologists.Results: Both simulation and real experiments confirmed that the optimized energy bins by the proposed method allow better material decomposition quality. Moreover, for the specimen thickness estimation errors up to 2 mm, the proposed method provides good reconstruction results in both simulation and real ex vivo breast phantom experiments compared to existing methods.Conclusions: The proposed statistical framework of PCXD has been successfully applied for the energy optimization and decomposition of three material in a mammographic environment. Experimental results using the physical breast phantom and ex vivo specimen support the practicality of the proposed algorithm.

  14. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

  15. DIDACTICAL HOLOGRAPHIC EXHIBIT INCLUDING (HOLOGRAPHIC TELEVISION)

    E-Print Network [OSTI]

    de Aguiar, Marcus A. M.

    DIDACTICAL HOLOGRAPHIC EXHIBIT INCLUDING HoloTV (HOLOGRAPHIC TELEVISION) José J. Lunazzi , DanielCampinasSPBrasil Abstract: Our Institute of Physics exposes since 1980 didactical exhibitions of holography in Brazil where

  16. Sessions include: Beginning Farmer and Rancher

    E-Print Network [OSTI]

    Watson, Craig A.

    Sessions include: ­ Beginning Farmer and Rancher ­ New Markets and Regulations ­ Food Safety ­ Good Bug, Bad Bug ID ­ Horticulture ­ Hydroponics ­ Livestock and Pastured Poultry ­ Mushrooms ­ Organic ­ Live animal exhibits ­ Saturday evening social, and ­ Local foods Florida Small Farms and Alternative

  17. Improving constraints on the neutrino mass using sufficient statistics

    E-Print Network [OSTI]

    Wolk, M; Bel, J; Carbone, C; Carron, J

    2015-01-01T23:59:59.000Z

    We use the "Dark Energy and Massive Neutrino Universe" (DEMNUni) simulations to compare the constraining power of "sufficient statistics" with the standard matter power spectrum on the sum of neutrino masses, $M_\

  18. Including shielding effects in application of the TPCA method for detection of embedded radiation sources.

    SciTech Connect (OSTI)

    Johnson, William C.; Shokair, Isaac R.

    2011-12-01T23:59:59.000Z

    Conventional full spectrum gamma spectroscopic analysis has the objective of quantitative identification of all the radionuclides present in a measurement. For low-energy resolution detectors such as NaI, when photopeaks alone are not sufficient for complete isotopic identification, such analysis requires template spectra for all the radionuclides present in the measurement. When many radionuclides are present it is difficult to make the correct identification and this process often requires many attempts to obtain a statistically valid solution by highly skilled spectroscopists. A previous report investigated using the targeted principal component analysis method (TPCA) for detection of embedded sources for RPM applications. This method uses spatial/temporal information from multiple spectral measurements to test the hypothesis of the presence of a target spectrum of interest in these measurements without the need to identify all the other radionuclides present. The previous analysis showed that the TPCA method has significant potential for automated detection of target radionuclides of interest, but did not include the effects of shielding. This report complements the previous analysis by including the effects of spectral distortion due to shielding effects for the same problem of detection of embedded sources. Two examples, one with one target radionuclide and the other with two, show that the TPCA method can successfully detect shielded targets in the presence of many other radionuclides. The shielding parameters are determined as part of the optimization process using interpolation of library spectra that are defined on a 2D grid of atomic numbers and areal densities.

  19. Gas storage materials, including hydrogen storage materials

    DOE Patents [OSTI]

    Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji

    2014-11-25T23:59:59.000Z

    A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material, such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.

  20. Gas storage materials, including hydrogen storage materials

    DOE Patents [OSTI]

    Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji

    2013-02-19T23:59:59.000Z

    A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.

  1. Monthly energy review, August 1996

    SciTech Connect (OSTI)

    NONE

    1996-08-01T23:59:59.000Z

    This report presents an overview of recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, coal, natural gas, electricity, and nuclear energy.

  2. INDIAN STATISTICAL INSTITUTE Annual Report

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    Division 8 Stat-Math Unit (SMU), Kolkata 8 Stat-Math Unit (SMU), Delhi 11 Stat-Math Unit (SMU), Bangalore Stat-Math Unit (SMU), Chennai 14 16 Applied Statistics Division 17 Applied Statistics Unit (ASU

  3. Statistical Performance Modeling of SRAMs

    E-Print Network [OSTI]

    Zhao, Chang

    2011-02-22T23:59:59.000Z

    to their characteristic of low failure rate, while statistical method of yield sensitivity analysis is meaningful for its high efficiency. This thesis proposes a novel statistical model to conduct yield sensitivity prediction on SRAM cells at the simulation level, which...

  4. STATISTICAL MECHANICS AND FIELD THEORY

    E-Print Network [OSTI]

    Samuel, S.A.

    2010-01-01T23:59:59.000Z

    York. K. Bardakci, Field Theory for Solitons, II, BerkeleyFart I Applications of Field Theory Methods to StatisticalStatistical Mechanics to Field Theory Chapter IV The Grand

  5. Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)

    SciTech Connect (OSTI)

    Lee, J.; Elmore, R.; Jones, W.

    2011-02-01T23:59:59.000Z

    We introduce a cutting-edge life-testing technique, accelerated degradation testing (ADT), for PV reliability testing. The ADT technique is a cost-effective and flexible reliability testing method with multiple (MADT) and Step-Stress (SSADT) variants. In an environment with limited resources, including equipment (chambers), test units, and testing time, these techniques can provide statistically rigorous prediction of lifetime and other interesting parameters, such as failure rate, warranty time, mean time to failure, degradation rate, activation energy, acceleration factor, and upper limit level of stress. J-V characterization can be used for degradation data and the generalized Eyring model can be used for the thermal-humidity stress condition. The SSADT model can be constructed based on the cumulative damage model (CEM), which assumes that the remaining test united are failed according to cumulative density function of current stress level regardless of the history on previous stress levels.

  6. Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS

    E-Print Network [OSTI]

    Dyer, Bill

    Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS Economics The Department of Agricultural Economics and Economics offers a broad education involving the domestic, and for graduate study in economics and in related fields including business administra- tion, finance, public

  7. International Energy Agency (IEA) Task 40 — Sustainable International Energy Trade: Securing Supply and Demand -- Country Report 2009 for the United States

    SciTech Connect (OSTI)

    J. Richard Hess; Jacob J. Jacobson; Richard Nelson; Carl Wolf

    2009-06-01T23:59:59.000Z

    This report outlines the status of U.S. biomass resources currently and future potentials for domestic and export markets of residues, energy crops, and woody resources. Includes energy and fuel production and consumption statistics, driving policies, targets, and government investment in bioenergy industry development.

  8. International Energy Agency (IEA) Task 40 — Sustainable International Energy Trade: Securing Supply and Demand -- Country Report 2010 for the United States

    SciTech Connect (OSTI)

    J. Richard Hess; Jacob J. Jacobson; Richard Nelson; Carl Wolf

    2011-12-01T23:59:59.000Z

    This report updates the status of U.S. biomass resources currently and future potentials for domestic and export markets of residues, energy crops, and woody resources. Includes energy and fuel production and consumption statistics, driving policies, targets, and government investment in bioenergy industry development.

  9. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  10. Business Statistics 207 Summer, 2013

    E-Print Network [OSTI]

    Barrash, Warren

    Business Statistics 207 Summer, 2013 Instructor: Phil Fry Office: MBEB 3249 e-mail: pfry) & by Appointment Textbook: Business Statistics: A Decision-Making Approach, 8th ed. by Groebner, Shannon, Fry: This is the first semester of a two semester course in business statistics. The objective of BUSSTAT 207

  11. Fertilizer Statistics for Texas.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1927-01-01T23:59:59.000Z

    ) H. B. PARKS, B. S.. Apiculturist in Charge A. H. ALEX, B. S.. Queen Breeder FEED CONTROL SERVICE: F. D. FULLER, M. S.. Chief S. D. PEARCE, Secretary J. 13. ROGERS, Feed Inspector W. H. WOOD. Feed Inspector K. L KIRKLAND B S Feed Inspector W... and for selected counties. Estimated prices of plant food are given. The sales of fer- tilizer in the spring are partly related to the price of cotton in the preceding fall and winter. This is shown by statistical methods. CONTENTS ,. A . . . . ,., l...

  12. Experimental uncertainty estimation and statistics for data having interval uncertainty.

    SciTech Connect (OSTI)

    Kreinovich, Vladik (Applied Biomathematics, Setauket, New York); Oberkampf, William Louis (Applied Biomathematics, Setauket, New York); Ginzburg, Lev (Applied Biomathematics, Setauket, New York); Ferson, Scott (Applied Biomathematics, Setauket, New York); Hajagos, Janos (Applied Biomathematics, Setauket, New York)

    2007-05-01T23:59:59.000Z

    This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.

  13. Preprint of: A.H. Nosrat, L.G. Swan, J.M. Pearce, Improved Performance of Hybrid Photovoltaic-Trigeneration Systems Over Photovoltaic-Cogen Systems Including Effects of Battery Storage, Energy 49, pp. 366-374 (2013). http://dx.doi.org/10.1016/j.energy.201

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2013-01-01T23:59:59.000Z

    load PV-cogen hybrid systems could be coupled to an absorption chiller to utilize waste heat from of the chemical energy becoming waste heat. There are two clear strategies to reduce present GHG emission rates to the current combination of centralized power plants and household heating technologies in some regions

  14. Communication in automation, including networking and wireless

    E-Print Network [OSTI]

    Antsaklis, Panos

    Communication in automation, including networking and wireless Nicholas Kottenstette and Panos J and networking in automation is given. Digital communication fundamentals are reviewed and networked control are presented. 1 Introduction 1.1 Why communication is necessary in automated systems Automated systems use

  15. Electrochemical cell including ribbed electrode substrates

    SciTech Connect (OSTI)

    Breault, R.D.; Goller, G.J.; Roethlein, R.J.; Sprecher, G.C.

    1981-07-21T23:59:59.000Z

    An electrochemical cell including an electrolyte retaining matrix layer located between and in contact with cooperating anode and cathode electrodes is disclosed herein. Each of the electrodes is comprised of a ribbed (or grooved) substrate including a gas porous body as its main component and a catalyst layer located between the substrate and one side of the electrolyte retaining matrix layer. Each substrate body includes a ribbed section for receiving reactant gas and lengthwise side portions on opposite sides of the ribbed section. Each of the side portions includes a channel extending along its entire length from one surface thereof (e.g., its outer surface) to but stopping short of an opposite surface (e.g., its inner surface) so as to provide a web directly between the channel and the opposite surface. Each of the channels is filled with a gas impervious substance and each of the webs is impregnated with a gas impervious substance so as to provide a gas impervious seal along the entire length of each side portion of each substrate and between the opposite faces thereof (e.g., across the entire thickness thereof).

  16. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    & BLACK BEAN ENCHILADAS Fresh corn tortillas stuffed with tender brown butter sautéed butternut squash, black beans and yellow on- ions, garnished with avocado and sour cream. $33 per person EDAMAME & CORN SQUASH & BLACK BEAN ENCHILADA FREE RANGE CHICK- EN SANDWICH PLATED ENTREES All plated entrees include

  17. Emergent irreversibility and entanglement spectrum statistics

    E-Print Network [OSTI]

    Claudio Chamon; Alioscia Hamma; Eduardo R. Mucciolo

    2014-06-24T23:59:59.000Z

    We study the problem of irreversibility when the dynamical evolution of a many-body system is described by a stochastic quantum circuit. Such evolution is more general than a Hamiltonian one, and since energy levels are not well defined, the well-established connection between the statistical fluctuations of the energy spectrum and irreversibility cannot be made. We show that the entanglement spectrum provides a more general connection. Irreversibility is marked by a failure of a disentangling algorithm and is preceded by the appearance of Wigner-Dyson statistical fluctuations in the entanglement spectrum. This analysis can be done at the wave-function level and offers an alternative route to study quantum chaos and quantum integrability.

  18. BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics

    E-Print Network [OSTI]

    Seamons, Kent E.

    the statistics list: C S 142 Introduction to Computer Programming Math 334 Ordinary Differential Equations Math Applied Time Series and Forecasting Stat 474 Theory of Interest Stat 496R Academic Internship: Statistics Stat 497R Introduction to Statistical Research Stat 535 Applied Linear Models Stat 536 Modern

  19. What To Include In The Whistleblower Complaint? | National Nuclear Security

    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: 5-13-14Russian Nuclear Warheads ArrivesAdministration To Include In

  20. ARM - Facility Statistics

    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 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYouQuality ProgramgovExternal

  1. Subterranean barriers including at least one weld

    DOE Patents [OSTI]

    Nickelson, Reva A.; Sloan, Paul A.; Richardson, John G.; Walsh, Stephanie; Kostelnik, Kevin M.

    2007-01-09T23:59:59.000Z

    A subterranean barrier and method for forming same are disclosed, the barrier including a plurality of casing strings wherein at least one casing string of the plurality of casing strings may be affixed to at least another adjacent casing string of the plurality of casing strings through at least one weld, at least one adhesive joint, or both. A method and system for nondestructively inspecting a subterranean barrier is disclosed. For instance, a radiographic signal may be emitted from within a casing string toward an adjacent casing string and the radiographic signal may be detected from within the adjacent casing string. A method of repairing a barrier including removing at least a portion of a casing string and welding a repair element within the casing string is disclosed. A method of selectively heating at least one casing string forming at least a portion of a subterranean barrier is disclosed.

  2. Statistical analysis in multispectral remote sensing

    E-Print Network [OSTI]

    Albert, Walter Gerald

    1970-01-01T23:59:59.000Z

    and examines various statistical techniques for their usefulness in crop pre- diction. These techniques include multiple regression, discriminant analysis, and likelihood ratio tests. Other procedures employed in this paper are univsriate and multivariate... analysis of variance. Several transformations are performed on the data, sets in an attempt to increase accuracy for discrimination of crops, Conclu- sions of the work undertaken in this paper are presented, and recommendations are made for further...

  3. Power generation method including membrane separation

    DOE Patents [OSTI]

    Lokhandwala, Kaaeid A. (Union City, CA)

    2000-01-01T23:59:59.000Z

    A method for generating electric power, such as at, or close to, natural gas fields. The method includes conditioning natural gas containing C.sub.3+ hydrocarbons and/or acid gas by means of a membrane separation step. This step creates a leaner, sweeter, drier gas, which is then used as combustion fuel to run a turbine, which is in turn used for power generation.

  4. Rotor assembly including superconducting magnetic coil

    DOE Patents [OSTI]

    Snitchler, Gregory L. (Shrewsbury, MA); Gamble, Bruce B. (Wellesley, MA); Voccio, John P. (Somerville, MA)

    2003-01-01T23:59:59.000Z

    Superconducting coils and methods of manufacture include a superconductor tape wound concentrically about and disposed along an axis of the coil to define an opening having a dimension which gradually decreases, in the direction along the axis, from a first end to a second end of the coil. Each turn of the superconductor tape has a broad surface maintained substantially parallel to the axis of the coil.

  5. APS Operational Statistics

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

    and applied research in materials science, biology and medicine, chemistry, physics, geology, and environmental science. The APS was built by the U.S. Department of Energy as a...

  6. Dynamics and Statistical Mechanics of Rotating and non-Rotating Vortical Flows

    SciTech Connect (OSTI)

    Lim, Chjan [RPI] [RPI

    2013-12-18T23:59:59.000Z

    Three projects were analyzed with the overall aim of developing a computational/analytical model for estimating values of the energy, angular momentum, enstrophy and total variation of fluid height at phase transitions between disordered and self-organized flow states in planetary atmospheres. It is believed that these transitions in equilibrium statistical mechanics models play a role in the construction of large-scale, stable structures including super-rotation in the Venusian atmosphere and the formation of the Great Red Spot on Jupiter. Exact solutions of the spherical energy-enstrophy models for rotating planetary atmospheres by Kac's method of steepest descent predicted phase transitions to super-rotating solid-body flows at high energy to enstrophy ratio for all planetary spins and to sub-rotating modes if the planetary spin is large enough. These canonical statistical ensembles are well-defined for the long-range energy interactions that arise from 2D fluid flows on compact oriented manifolds such as the surface of the sphere and torus. This is because in Fourier space available through Hodge theory, the energy terms are exactly diagonalizable and hence has zero range, leading to well-defined heat baths.

  7. Monthly energy review. May 1998

    SciTech Connect (OSTI)

    NONE

    1998-05-01T23:59:59.000Z

    This report presents recent energy monthly statistics on the production, consumption, trade, stocks, and prices of petroleum, natural gas, coal, electricity, and nuclear energy.

  8. Intentionally Including - Engaging Minorities in Physics Careers |

    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 Asked Questions for DOEtheInspection15 Intellectual Property

  9. Multiverse rate equation including bubble collisions

    E-Print Network [OSTI]

    Michael P. Salem

    2013-02-19T23:59:59.000Z

    The volume fractions of vacua in an eternally inflating multiverse are described by a coarse-grain rate equation, which accounts for volume expansion and vacuum transitions via bubble formation. We generalize the rate equation to account for bubble collisions, including the possibility of classical transitions. Classical transitions can modify the details of the hierarchical structure among the volume fractions, with potential implications for the staggering and Boltzmann-brain issues. Whether or not our vacuum is likely to have been established by a classical transition depends on the detailed relationships among transition rates in the landscape.

  10. The Statistics of the Number of Neutron Collisions Prior to Absorption

    E-Print Network [OSTI]

    Pázsit, Imre

    The Statistics of the Number of Neutron Collisions Prior to Absorption Sara A. Pozzi* Oak Ridge Accepted July 25, 2005 Abstract ­ We propose a simple analytical model to describe the statistics, the energy transfer and the collision num- ber are related quantities, and therefore, the statistics of

  11. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    Statistics. Energy Efficiency Services Sector: WorkforceCouncil for an Energy Efficient Economy. Energy InformationCouncil for an Energy-Efficient Economy. Eto, J. , R. Prahl

  12. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    of Labor Statistics. Energy Efficiency Services Sector:Renewable Energy and Energy Efficiency: Economic Drivers forStatewide Long Term Energy Efficiency Strategic Plan. ” San

  13. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    Statistics. Energy Efficiency Services Sector: WorkforceRenewable Energy and Energy Efficiency: Economic Drivers forStatewide Long Term Energy Efficiency Strategic Plan. ” San

  14. Application for SAS Certificate Advanced Statistics

    E-Print Network [OSTI]

    Dahl, David B.

    Application for SAS Certificate Advanced Statistics ___________________________________________________________________________________ Student Signature _________________________________________ Date I am a Statistics Major at Brigham Young of Statistics to access my academic information. Brigham Young University Department of Statistics offers

  15. The University of Chicago Department of Statistics

    E-Print Network [OSTI]

    The University of Chicago Department of Statistics Seminar Series PETER HALL Department of Mathematics and Statistics University of Melbourne, Australia Contemporary Frontiers in Statistics THURSDAY and future directions of frontier problems in statistics For further information and about building access

  16. FROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION

    E-Print Network [OSTI]

    Burgman, Mark

    such as the American Psychological Association, and the absence of appropriate editorial pressure, statistical reformFROM STATISTICAL SIGNIFICANCE TO EFFECT ESTIMATION: STATISTICAL REFORM IN PSYCHOLOGY, MEDICINE ABSTRACT Compelling criticisms of statistical significance testing (or Null Hypothesis Significance Testing

  17. APS Operational Statistics for FY 2005

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

    asdopslogo1.gif (2896 bytes) APS FY2005 Operational Statistics Back to Main Statistics Page FY 2005 Year-to-Date Statistics 2005 Statistics Summary HTML or PDF FY 2005...

  18. BORON--2002 13.1 References that include a section mark () are found in the Internet

    E-Print Network [OSTI]

    , statistical assistant, and the world production table was prepared by Regina R. Coleman, international data project teams will share about $14.2 million in Federal funding, to be matched by $7.1 million locally Railroad Administration, 2001§1 ). A public-private partnership of the U.S. Department of Energy (DOE

  19. FY 2005 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment of Energy QuarterlyFWP95Office

  20. Statistical Analysis.indd

    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 NuclearSpurring SolarSystem,Department ofTechnologyLM

  1. AMERICAN STATISTICAL ASSOCIATION

    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,1 U.S. Department of Energygasoline pricessummer8Flow, 34AEP1) June 2013

  2. AMERICAN STATISTICAL ASSOCIATION

    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,1 U.S. Department of Energygasoline pricessummer8Flow, 34AEP1) June 2013

  3. AMERICAN STATISTICAL ASSOCIATION

    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,1 U.S. Department of Energygasoline pricessummer8Flow, 34AEP1) June 2013

  4. AMERICAN STATISTICAL ASSOCIATION

    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,1 U.S. Department of Energygasoline4Residential17.Keeping PaceAMERICAN

  5. AMERICAN STATISTICAL ASSOCIATION (ASA)

    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,1 U.S. Department of Energygasoline4Residential17.Keeping

  6. Relic neutrino decoupling including flavour oscillations

    E-Print Network [OSTI]

    Gianpiero Mangano; Gennaro Miele; Sergio Pastor; Teguayco Pinto; Ofelia Pisanti; Pasquale D. Serpico

    2005-06-16T23:59:59.000Z

    In the early universe, neutrinos are slightly coupled when electron-positron pairs annihilate transferring their entropy to photons. This process originates non-thermal distortions on the neutrino spectra which depend on neutrino flavour, larger for nu_e than for nu_mu or nu_tau. We study the effect of three-neutrino flavour oscillations on the process of neutrino decoupling by solving the momentum-dependent kinetic equations for the neutrino spectra. We find that oscillations do not essentially modify the total change in the neutrino energy density, giving N_eff=3.046 in terms of the effective number of neutrinos, while the small effect over the production of primordial 4He is increased by O(20%), up to 2.1 x 10^{-4}. These results are stable within the presently favoured region of neutrino mixing parameters.

  7. Electrochemical system including lamella settler crystallizer

    DOE Patents [OSTI]

    Maimoni, Arturo (Orinda, CA)

    1988-01-01T23:59:59.000Z

    A crystallizer which incorporates a lamella settler and which is particularly applicable for use in batteries and power cells for electric vehicles or stationary applications. The lamella settler can be utilized for coarse particle separation or for agglomeration, and is particularly applicable to aluminum-air batteries or power cells for solving the hydrargillite (aluminum-hydroxide) removal problems from such batteries. This invention provides the advantages of very low energy consumption, turbulence, shear, cost and maintenance. Thus, due to the low shear and low turbulence of this invention, it is particularly effective in the control of aluminum hydroxide particle size distribution in the various sections of an aluminum-air system, as will as in other elecrochemical systems requiring separation for phases of different densities.

  8. Extruded plastic scintillator including inorganic powders

    DOE Patents [OSTI]

    Bross, Alan D.; Mellott, Kerry L.; Pla-Dalmau, Anna

    2006-06-27T23:59:59.000Z

    A method for producing a plastic scintillator is disclosed. A plurality of nano-sized particles and one or more dopants can be combined with a plastic material for the formation of a plastic scintillator thereof. The nano-sized particles, the dopant and the plastic material can be combined within the dry inert atmosphere of an extruder to produce a reaction that results in the formation of a plastic scintillator thereof and the deposition of energy within the plastic scintillator, such that the plastic scintillator produces light signifying the detection of a radiative element. The nano-sized particles can be treated with an inert gas prior to processing the nano-sized particles, the dopant and the plastic material utilizing the extruder. The plastic scintillator can be a neutron-sensitive scintillator, x-ray sensitive scintillator and/or a scintillator for the detection of minimum ionizing particles.

  9. Thermalization of gluon matter including ggggg interactions

    E-Print Network [OSTI]

    A. El; C. Greiner; Z. Xu

    2006-09-27T23:59:59.000Z

    Within a pQCD inspired kinetic parton cascade we simulate the space time evolution of gluons which are produced initially in a heavy ion collision at RHIC energy. The inelastic gluonic interactions $gg \\leftrightarrow ggg$ do play an important role: For various initial conditions it is found that thermalization and the close to ideal fluid dynamical behaviour sets in at very early times. Special emphasis is put on color glass condensate initial conditions and the `bottom up thermalization' scenario. Off-equilibrium $3\\to 2$ processes make up the very beginning of the evolution leading to an initial decrease in gluon number and a temporary avalanche of the gluon momentum distribution to higher transversal momenta.

  10. Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks

    E-Print Network [OSTI]

    Zhang, Tonglin

    Statistical Approach to Radioactive Target Detection and Location via Wireless Sensor Networks of radioactive target via wireless sensor networks. The statistical approach includes a hypotheses test this framework, a wireless sensor network (WSN) can be used as the system to obtain data. A statistical method

  11. Book Reviews 567 The Elements of Statistical Learning: Data Mining, Inference, and

    E-Print Network [OSTI]

    Tibshirani, Robeert

    . In a stimulating arti- cle, Breiman (2001) argued that statistics has been focused too much on a "data modeling that the courses offered by most statistics departments include little, if any, treatment of statistical learning is to discover types of products often purchased together. Such knowledge can be used to develop marketing

  12. Statistics as a dynamical attractor

    E-Print Network [OSTI]

    Michail Zak

    2012-08-30T23:59:59.000Z

    It is demonstrated that any statistics can be represented by an attractor of the solution to a corresponding systen of ODE coupled with its Liouville equation. Such a non-Newtonian representation allows one to reduce foundations of statistics to better established foundations of ODE. In addition to that, evolution to the attractor reveals possible micro-mechanisms driving random events to the final distribution of the corresponding statistical law. Special attention is concentrated upon the power law and its dynamical interpretation: it is demonstrated that the underlying dynamics supports a " violent reputation" of the power law statistics.

  13. Computer, Computational, and Statistical Sciences Division

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

    Computing CCS Division Computer, Computational, and Statistical Sciences Division Computational physics, computer science, applied mathematics, statistics and the integration of...

  14. Optical panel system including stackable waveguides

    DOE Patents [OSTI]

    DeSanto, Leonard (Dunkirk, MD); Veligdan, James T. (Manorville, NY)

    2007-11-20T23:59:59.000Z

    An optical panel system including stackable waveguides is provided. The optical panel system displays a projected light image and comprises a plurality of planar optical waveguides in a stacked state. The optical panel system further comprises a support system that aligns and supports the waveguides in the stacked state. In one embodiment, the support system comprises at least one rod, wherein each waveguide contains at least one hole, and wherein each rod is positioned through a corresponding hole in each waveguide. In another embodiment, the support system comprises at least two opposing edge structures having the waveguides positioned therebetween, wherein each opposing edge structure contains a mating surface, wherein opposite edges of each waveguide contain mating surfaces which are complementary to the mating surfaces of the opposing edge structures, and wherein each mating surface of the opposing edge structures engages a corresponding complementary mating surface of the opposite edges of each waveguide.

  15. Optical panel system including stackable waveguides

    DOE Patents [OSTI]

    DeSanto, Leonard; Veligdan, James T.

    2007-03-06T23:59:59.000Z

    An optical panel system including stackable waveguides is provided. The optical panel system displays a projected light image and comprises a plurality of planar optical waveguides in a stacked state. The optical panel system further comprises a support system that aligns and supports the waveguides in the stacked state. In one embodiment, the support system comprises at least one rod, wherein each waveguide contains at least one hole, and wherein each rod is positioned through a corresponding hole in each waveguide. In another embodiment, the support system comprises at least two opposing edge structures having the waveguides positioned therebetween, wherein each opposing edge structure contains a mating surface, wherein opposite edges of each waveguide contain mating surfaces which are complementary to the mating surfaces of the opposing edge structures, and wherein each mating surface of the opposing edge structures engages a corresponding complementary mating surface of the opposite edges of each waveguide.

  16. TUNGSTEN--2003 79.1 References that include a section mark () are found in the Internet

    E-Print Network [OSTI]

    Stockpile (NDS) and increases in stocks held by U.S. industry. No U.S. tungsten mine production was reported reported in 2001. Salient U.S. tungsten statistics and world tungsten concentrate production for 2003TUNGSTEN--2003 79.1 1 References that include a section mark (§) are found in the Internet

  17. Requirements for Statistics Concentration The Statistics concentration or major may be tailored in accordance with

    E-Print Network [OSTI]

    Stine, Robert A.

    Requirements for Statistics Concentration 6/9/11 The Statistics concentration or major are required, with at least 3 credit units from Statistics. STAT 621 may contribute in Statistics The following courses offered by the Department of Statistics are eligible

  18. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  19. International petroleum statistics report

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  20. Models for Millions Department of Statistics

    E-Print Network [OSTI]

    Stine, Robert A.

    Models for Millions Bob Stine Department of Statistics The Wharton School, UniversityDepartment of Statistics Introduction #12;WhartonDepartment of Statistics WhartonDepartment of Statistics Statistics in the News Hot topics Big Data Business Analytics Data Science Are the authors talking about statistics

  1. Energy

    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 3,625govInstrumentstdmadapInactiveVisitingContractElectron-StateEnergy /newsroom/_assets/images/energy-icon.png Energy

  2. China energy databook

    SciTech Connect (OSTI)

    Sinton, J.E.; Fridley, D.G.; Levine, M.D. [eds.

    1996-06-01T23:59:59.000Z

    The response to the first edition of the China Energy Databook was overwhelmingly positive, and has encouraged us to issue this revised, updated, and expanded edition. It has been a natural counterpart to the Energy Analysis Program`s continuing program of collaborative research with the Energy Research Institute. No other current reference volume dedicated to China`s energy system contains a similar variety and quality of material. We have revised some of the categories and data that appeared in the old volume. The adjustment for energy consumption in the transportation sector, for instance, has been slightly changed to include some fuel use in the commercial sector, which was previously left out. As another example, natural gas consumption statistics in the first edition greatly overstated electric utility use; we have rectified that error. Some tables have changed as statistical collection and reporting practices change in China. Figures on gross output value by sector stop with 1992, and economic output in subsequent years is covered by various measures of value-added, such as national income and gross domestic product.

  3. Berkeley Lab Accident Statistics Through December 31, 2009

    E-Print Network [OSTI]

    Eisen, Michael

    Engineering Environmental Energy Tech. Genomics Life Sciences Materials Sciences NERSC Center Nuclear Science Energy Tech. Genomics Life Sciences Materials Sciences NERSC Center Nuclear Science Physical Biosciences1 Berkeley Lab Accident Statistics Through December 31, 2009 These slides are updated on a monthly

  4. Transportation Energy Data Book: Edition 26

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL

    2007-07-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 26 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Planning, Budget Formulation, and Analysis, under the Energy Efficiency and Renewable Energy (EERE) program in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest editions of the Data Book are available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 - energy; Chapter 3 - highway vehicles; Chapter 4 - light vehicles; Chapter 5 - heavy vehicles; Chapter 6 - alternative fuel vehicles; Chapter 7 - fleet vehicles; Chapter 8 - household vehicles; and Chapter 9- nonhighway modes; Chapter 10 - transportation and the economy; Chapter 11 - greenhouse gas emissions; and Chapter 12 - criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  5. Transportation Energy Data Book: Edition 29

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2010-07-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 29 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Program. Designed for use as a desk-top reference, the Data Book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest edition of the Data Book is available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the reader s convenience.

  6. Transportation Energy Data Book: Edition 24

    SciTech Connect (OSTI)

    Davis, S.C.

    2005-03-08T23:59:59.000Z

    The ''Transportation Energy Data Book: Edition 24'' is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Planning, Budget Formulation, and Analysis, under the Energy Efficiency and Renewable Energy (EERE) program in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest editions of the Data Book are available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2--energy; Chapter 3--highway vehicles; Chapter 4--light vehicles; Chapter 5--heavy vehicles; Chapter 6--alternative fuel vehicles; Chapter 7--fleet vehicles; Chapter 8--household vehicles; and Chapter 9--nonhighway modes; Chapter 10--transportation and the economy; Chapter 11--greenhouse gas emissions; and Chapter 12--criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  7. Transportation Energy Data Book: Edition 25

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL

    2006-06-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 25 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Planning, Budget Formulation, and Analysis, under the Energy Efficiency and Renewable Energy (EERE) program in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest editions of the Data Book are available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 - energy; Chapter 3 - highway vehicles; Chapter 4 - light vehicles; Chapter 5 - heavy vehicles; Chapter 6 - alternative fuel vehicles; Chapter 7 - fleet vehicles; Chapter 8 - household vehicles; and Chapter 9- nonhighway modes; Chapter 10 - transportation and the economy; Chapter 11 - greenhouse gas emissions; and Chapter 12 - criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  8. Transportation Energy Data Book: Edition 23

    SciTech Connect (OSTI)

    Davis, S.C.

    2003-10-24T23:59:59.000Z

    The ''Transportation Energy Data Book: Edition 23'' is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Planning, Budget Formulation, and Analysis, under the Energy Efficiency and Renewable Energy (EERE) program in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest editions of the Data Book are available to a larger audience via the Internet (www-cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2--energy; Chapter 3--highway vehicles; Chapter 4--light vehicles; Chapter 5--heavy vehicles; Chapter 6--alternative fuel vehicles; Chapter 7--fleet vehicles; Chapter 8--household vehicles; and Chapter 9--nonhighway modes; Chapter 10--transportation and the economy; Chapter 11--greenhouse gas emissions; and Chapter 12--criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  9. Transportation Energy Data Book: Edition 28

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2009-06-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 28 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with U.S Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Program and the Hydrogen, Fuel Cells, and Infrastructure Technologies Program. Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest edition of the Data Book are available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; and Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  10. Transportation Energy Data Book: Edition 27

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2008-06-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 27 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Planning, Budget Formulation, and Analysis, under the Energy Efficiency and Renewable Energy (EERE) program in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest editions of the Data Book are available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; and Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the readers convenience.

  11. Transportation Energy Data Book: Edition 30

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2011-07-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 30 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Program. Designed for use as a desk-top reference, the Data Book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest edition of the Data Book is available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the reader s convenience.

  12. Transportation Energy Data Book: Edition 32

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2013-08-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 32 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office. Designed for use as a desk-top reference, the Data Book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest edition of the Data Book is available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the reader s convenience.

  13. Transportation Energy Data Book: Edition 31

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2012-08-01T23:59:59.000Z

    The Transportation Energy Data Book: Edition 31 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Program. Designed for use as a desk-top reference, the Data Book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. The latest edition of the Data Book is available to a larger audience via the Internet (cta.ornl.gov/data). This edition of the Data Book has 12 chapters which focus on various aspects of the transportation industry. Chapter 1 focuses on petroleum; Chapter 2 energy; Chapter 3 highway vehicles; Chapter 4 light vehicles; Chapter 5 heavy vehicles; Chapter 6 alternative fuel vehicles; Chapter 7 fleet vehicles; Chapter 8 household vehicles; Chapter 9 nonhighway modes; Chapter 10 transportation and the economy; Chapter 11 greenhouse gas emissions; and Chapter 12 criteria pollutant emissions. The sources used represent the latest available data. There are also three appendices which include detailed source information for some tables, measures of conversion, and the definition of Census divisions and regions. A glossary of terms and a title index are also included for the reader s convenience.

  14. Monthly energy review

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    This report presents statistical data on U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy.

  15. Energy Monitoring Act (Canada)

    Broader source: Energy.gov [DOE]

    This act requires that every energy enterprise file with the Minister a return setting out statistics and information relating to its ownership and control; financial information; information,...

  16. Engine lubrication circuit including two pumps

    DOE Patents [OSTI]

    Lane, William H.

    2006-10-03T23:59:59.000Z

    A lubrication pump coupled to the engine is sized such that the it can supply the engine with a predetermined flow volume as soon as the engine reaches a peak torque engine speed. In engines that operate predominately at speeds above the peak torque engine speed, the lubrication pump is often producing lubrication fluid in excess of the predetermined flow volume that is bypassed back to a lubrication fluid source. This arguably results in wasted power. In order to more efficiently lubricate an engine, a lubrication circuit includes a lubrication pump and a variable delivery pump. The lubrication pump is operably coupled to the engine, and the variable delivery pump is in communication with a pump output controller that is operable to vary a lubrication fluid output from the variable delivery pump as a function of at least one of engine speed and lubrication flow volume or system pressure. Thus, the lubrication pump can be sized to produce the predetermined flow volume at a speed range at which the engine predominately operates while the variable delivery pump can supplement lubrication fluid delivery from the lubrication pump at engine speeds below the predominant engine speed range.

  17. Models of Procyon A including seismic constraints

    E-Print Network [OSTI]

    P. Eggenberger; F. Carrier; F. Bouchy

    2005-01-14T23:59:59.000Z

    Detailed models of Procyon A based on new asteroseismic measurements by Eggenberger et al (2004) have been computed using the Geneva evolution code including shellular rotation and atomic diffusion. By combining all non-asteroseismic observables now available for Procyon A with these seismological data, we find that the observed mean large spacing of 55.5 +- 0.5 uHz favours a mass of 1.497 M_sol for Procyon A. We also determine the following global parameters of Procyon A: an age of t=1.72 +- 0.30 Gyr, an initial helium mass fraction Y_i=0.290 +- 0.010, a nearly solar initial metallicity (Z/X)_i=0.0234 +- 0.0015 and a mixing-length parameter alpha=1.75 +- 0.40. Moreover, we show that the effects of rotation on the inner structure of the star may be revealed by asteroseismic observations if frequencies can be determined with a high precision. Existing seismological data of Procyon A are unfortunately not accurate enough to really test these differences in the input physics of our models.

  18. Annual energy review 2003

    SciTech Connect (OSTI)

    none,

    2004-09-30T23:59:59.000Z

    The Annual Energy Review 2003 is a statistical history of energy activities in the United States in modern times. Data are presented for all major forms of energy by production (extraction of energy from the earth, water, and other parts of the environment), consumption by end-user sector, trade with other nations, storage changes, and pricing. Much of the data provided covers the fossil fuels—coal, petroleum, and natural gas. Fossil fuels are nature’s batteries; they have stored the sun’s energy over millennia past. It is primarily that captured energy that we are drawing on today to fuel the activities of the modern economy. Data in this report measure the extraordinary expansion of our use of fossil fuels from 29 quadrillion British thermal units (Btu) in 1949 to 84 quadrillion Btu in 2003. In recent years, fossil fuels accounted for 86 percent of all energy consumed in the United States. This report also records the development of an entirely new energy industry—the nuclear electric power industry. The industry got its start in this country in 1957 when the Shippingport, Pennsylvania, nuclear electric power plant came on line. Since that time, the industry has grown to account for 20 percent of our electrical output and 8 percent of all energy used in the country. Renewable energy is a third major category of energy reported in this volume. Unlike fossil fuels, which are finite in supply, renewable energy is essentially inexhaustible because it can be replenished. Types of energy covered in the renewable category include conventional hydroelectric power, which is power derived from falling water; wood; waste; alcohol fuels; geothermal; solar; and wind. Together, these forms of energy accounted for about 6 percent of all U.S. energy consumption in recent years.

  19. Probability, Statistics, and Stochastic Processes

    E-Print Network [OSTI]

    Olofsson, Peter

    , science, and engineering students. Other than the basic probability theory, my goal was to in- cludeProbability, Statistics, and Stochastic Processes Peter Olofsson A Wiley-Interscience Publication had been teaching a course on calculus-based probability and statistics mainly for mathematics

  20. Practical Statistics for the LHC

    E-Print Network [OSTI]

    Cranmer, Kyle

    2015-01-01T23:59:59.000Z

    This document is a pedagogical introduction to statistics for particle physics. Emphasis is placed on the terminology, concepts, and methods being used at the Large Hadron Collider. The document addresses both the statistical tests applied to a model of the data and the modeling itself.

  1. December 2000 A STATISTICAL TEST

    E-Print Network [OSTI]

    December 2000 A STATISTICAL TEST SUITE FOR RANDOM AND PSEUDORANDOM NUMBER GENERATORS challenges in authentication protocols. NIST Special Publication (SP) 800-22, A Statistical Test Suite testing of random number and pseudorandom number generators (RNGs and PRNGs) that may be used for many

  2. STATISTICAL FILTERING* John B. Moore~

    E-Print Network [OSTI]

    Moore, John Barratt

    noise signals. Theoretical developments in statistical filtering have been made side by side linkages will be made between these two major in filtering. in the developments In the classical approaches and the unwanted signals (noise) lie in another with possibly some overlap. In the statistical approach, the best

  3. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

    books · "The Elements of Graphing Data", William Cleveland, 2nd Ed. · "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data · Quantile of x = fraction of points

  4. Holographic considerations on non-gaussian statistics and gravothermal catastrophe

    E-Print Network [OSTI]

    Abreu, Everton M C; Barboza, Edesio M; Nunes, Rafael da C

    2015-01-01T23:59:59.000Z

    In this paper we have derived the equipartition law of energy using Tsallis formalism and the Kaniadakis power law statistics in order to obtain a modified gravitational constant. We have applied this result in the gravothermal collapse phenomenon. We have discussed the equivalence between Tsallis and the Kaniadakis statistics in the context of Verlinde entropic formalism. In the same way we have analyzed negative heat capacities in the light of gravothermal catastrophe. The relative deviations of the modified gravitational constants are derived.

  5. Holographic considerations on non-gaussian statistics and gravothermal catastrophe

    E-Print Network [OSTI]

    Everton M. C. Abreu; Jorge Ananias Neto; Edesio M. Barboza Jr.; Rafael da C. Nunes

    2014-08-18T23:59:59.000Z

    In this paper we have derived the equipartition law of energy using Tsallis formalism and the Kaniadakis power law statistics in order to obtain a modified gravitational constant. We have applied this result in the gravothermal collapse phenomenon. We have discussed the equivalence between Tsallis and the Kaniadakis statistics in the context of Verlinde entropic formalism. In the same way we have analyzed negative heat capacities in the light of gravothermal catastrophe. The relative deviations of the modified gravitational constants are derived.

  6. Robust statistical reconstruction for charged particle tomography

    DOE Patents [OSTI]

    2013-10-08T23:59:59.000Z

    Systems and methods for charged particle detection including statistical reconstruction of object volume scattering density profiles from charged particle tomographic data to determine the probability distribution of charged particle scattering using a statistical multiple scattering model and determine a substantially maximum likelihood estimate of object volume scattering density using expectation maximization (ML/EM) algorithm to reconstruct the object volume scattering density. The presence of and/or type of object occupying the volume of interest can be identified from the reconstructed volume scattering density profile. The charged particle tomographic data can be cosmic ray muon tomographic data from a muon tracker for scanning packages, containers, vehicles or cargo. The method can be implemented using a computer program which is executable on a computer.

  7. ASTROPHYSICAL FLUID DYNAMICS VIA DIRECT STATISTICAL SIMULATION

    SciTech Connect (OSTI)

    Tobias, S. M. [Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT (United Kingdom); Dagon, K.; Marston, J. B., E-mail: smt@maths.leeds.ac.uk [Department of Physics, Brown University, Providence, RI 02912-1843 (United States)

    2011-02-01T23:59:59.000Z

    In this paper, we introduce the concept of direct statistical simulation for astrophysical flows. This technique may be appropriate for problems in astrophysical fluids where the instantaneous dynamics of the flows are of secondary importance to their statistical properties. We give examples of such problems including mixing and transport in planets, stars, and disks. The method is described for a general set of evolution equations, before we consider the specific case of a spectral method optimized for problems on a spherical surface. The method is illustrated for the simplest non-trivial example of hydrodynamics and magnetohydrodynamics on a rotating spherical surface. We then discuss possible extensions of the method both in terms of computational methods and the range of astrophysical problems that are of interest.

  8. Monthly energy review

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    The Monthly Energy Review is prepared by the Energy Information Administration. Statistical data and information are provided on the topics of energy consumption, petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. (VC)

  9. Neutrino statistics and non-standard commutation relations

    E-Print Network [OSTI]

    A. Yu. Ignatiev; V. A. Kuzmin

    2005-10-16T23:59:59.000Z

    Recently it was suggested that the neutrino may violate the Pauli exclusion Principle (PEP). This renews interest in the systematic search for bilinear commutation relations that could describe deviations from PEP. In the context of this search we prove a no-go theorem which forbids a finite occupancy limit for an arbitrary system with a bilinear commutation relation. In other words, either the upper limit on the occupancy number is 1 (the ordinary fermionic case) or there is no upper limit at all. Some examples of the latter class include the usual Bose statistics, as well as non-standard quon statistics and infinite statistics.

  10. The effect of Coulombic friction on spatial displacement statistics

    E-Print Network [OSTI]

    Menzel, Andreas M

    2010-01-01T23:59:59.000Z

    The phenomenon of Coulombic friction enters the stochastic description of dry friction between two solids and the statistic characterization of vibrating granular media. Here we analyze the corresponding Fokker-Planck equation including both velocity and spatial components, exhibiting a formal connection to a quantum mechanical harmonic oscillator in the presence of a delta potential. Numerical solutions for the resulting spatial displacement statistics show a crossover from exponential to Gaussian displacement statistics. We identify a transient intermediate regime that exhibits multiscaling properties arising from the contribution of Coulombic friction. These results are relevant to recent experimental studies of the displacement of colloidal particles along bilayer membrane tubes.

  11. The effect of Coulombic friction on spatial displacement statistics

    E-Print Network [OSTI]

    Andreas M. Menzel; Nigel Goldenfeld

    2011-06-23T23:59:59.000Z

    The phenomenon of Coulombic friction enters the stochastic description of dry friction between two solids and the statistic characterization of vibrating granular media. Here we analyze the corresponding Fokker-Planck equation including both velocity and spatial components, exhibiting a formal connection to a quantum mechanical harmonic oscillator in the presence of a delta potential. Numerical solutions for the resulting spatial displacement statistics show a crossover from exponential to Gaussian displacement statistics. We identify a transient intermediate regime that exhibits multiscaling properties arising from the contribution of Coulombic friction. The possible role of these effects during observations in diffusion experiments is shortly discussed.

  12. Energy

    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 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:researchEmerging ThreatsEmployment Openings

  13. FY 2013 Statistical Table

    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 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen|JulyR--FOIA SupportDOE's FY3

  14. Independent Statistics & Analysis

    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) EnvironmentalGyroSolé(tm)HydrogenRFP » ImportantOfficeofofIncreasing water

  15. FY 2006 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment of

  16. FY 2007 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment ofAppropriationBudget DOE:

  17. FY 2008 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment

  18. FY 2010 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State7 FY0

  19. FY 2012 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FYEnergy And2

  20. Independent Statistics & Analysis

    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 40 Buildingto17 3400, U.S.MajorMarketsNov-14 Dec-14Has| Methodology forOctober

  1. ARM - Historical Operational Statistics

    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 3,625 1,006Datastreamstwrcam40m DocumentationJanuary 9, 2009 [Events, FeatureListGeneral ChangesField

  2. PDSF Batch Statistics

    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 access toTest andOptimize832 2.860 2.864 2.867039 J -

  3. Usage Statistics By Group

    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 aTurbulence mayUndergraduateAbout Us Updatesproject0 NERSC

  4. Implementing Bayesian Statistics

    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 82981-1cnHigh School footballHydrogenIT |HotImpact ofVisiting Us /Implementing

  5. NERSC HPSS Storage Statistics

    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 Your1AllocationsNOVA Portal: Submit2014ftp ftp Storage Trends

  6. BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics

    E-Print Network [OSTI]

    Olsen Jr., Dan R.

    of Statistics For students entering the degree program during the 2014­2015 curricular year. UNIVERSITY CORE Introduction to R Programming Stat 124 SAS Base Programming Skills Stat 223 Applied R Programming Stat 224 for Modeling Stat 497R Introduction to Statistical Research Stat 500 Business Career Essentials Stat 538

  7. cDNA encoding a polypeptide including a hevein sequence

    DOE Patents [OSTI]

    Raikhel, Natasha V. (Okemos, MI); Broekaert, Willem F. (Dilbeek, BE); Chua, Nam-Hai (Scarsdale, NY); Kush, Anil (New York, NY)

    1993-02-16T23:59:59.000Z

    A cDNA clone (HEV1) encoding hevein was isolated via polymerase chain reaction (PCR) using mixed oligonucleotides corresponding to two regions of hevein as primers and a Hevea brasiliensis latex cDNA library as a template. HEV1 is 1018 nucleotides long and includes an open reading frame of 204 amino acids. The deduced amino acid sequence contains a pu GOVERNMENT RIGHTS This application was funded under Department of Energy Contract DE-AC02-76ER01338. The U.S. Government has certain rights under this application and any patent issuing thereon.

  8. Crude closure dynamics through large scale statistical theories Marcus J. Grote and Andrew J. Majda

    E-Print Network [OSTI]

    Majda, Andrew J.

    Crude closure dynamics through large scale statistical theories Marcus J. Grote and Andrew J. Majda 10012-1185 Received 22 January 1997; accepted 9 July 1997 Crude closure algorithms based on equilibrium on equilibrium energy-enstrophy statistical theory, or two parameters, the energy and circulation, for crude

  9. Vortex methods and vortex statistics

    SciTech Connect (OSTI)

    Chorin, A.J.

    1993-05-01T23:59:59.000Z

    Vortex methods originated from the observation that in incompressible, inviscid, isentropic flow vorticity (or, more accurately, circulation) is a conserved quantity, as can be readily deduced from the absence of tangential stresses. Thus if the vorticity is known at time t = 0, one can deduce the flow at a later time by simply following it around. In this narrow context, a vortex method is a numerical method that makes use of this observation. Even more generally, the analysis of vortex methods leads, to problems that are closely related to problems in quantum physics and field theory, as well as in harmonic analysis. A broad enough definition of vortex methods ends up by encompassing much of science. Even the purely computational aspects of vortex methods encompass a range of ideas for which vorticity may not be the best unifying theme. The author restricts himself in these lectures to a special class of numerical vortex methods, those that are based on a Lagrangian transport of vorticity in hydrodynamics by smoothed particles (``blobs``) and those whose understanding contributes to the understanding of blob methods. Vortex methods for inviscid flow lead to systems of ordinary differential equations that can be readily clothed in Hamiltonian form, both in three and two space dimensions, and they can preserve exactly a number of invariants of the Euler equations, including topological invariants. Their viscous versions resemble Langevin equations. As a result, they provide a very useful cartoon of statistical hydrodynamics, i.e., of turbulence, one that can to some extent be analyzed analytically and more importantly, explored numerically, with important implications also for superfluids, superconductors, and even polymers. In the authors view, vortex ``blob`` methods provide the most promising path to the understanding of these phenomena.

  10. Monthly energy review, May 1997

    SciTech Connect (OSTI)

    NONE

    1997-05-01T23:59:59.000Z

    This is an overview of the May energy statistics by the Energy Information Administration. The contents of the report include an energy overview, US energy production, trade stocks and prices for petroleum, natural gas, oil and gas resource development, coal, electricity, nuclear energy, energy prices, and international energy. Energy production during February 1997 totaled 5.4 quadrillion Btu, a 1.9% decrease from the level of production during February 1996. Coal production increased 1.2%, natural gas production decreased 2.9%, and production of crude oil and natural gas plant liquids decreased 2.1%. All other forms of energy production combined were down 6.3% from the level of production during February 1996. Energy consumption during February 1997 totaled 7.5 quadrillion Btu, 4.0% below the level of consumption during February 1996. Consumption of petroleum products decreased 4.4%, consumption of natural gas was down 3.5%, and consumption of coal fell 2.2%. Consumption of all other forms of energy combined decreased 6.7% from the level 1 year earlier. Net imports of energy during February 1997 totaled 1.5 quadrillion Btu, 14.1% above the level of net imports 1 year earlier. Net imports of petroleum increased 12.7% and net imports of natural gas were up 7.4%. Net exports of coal fell 12.1% from the level in February 1996. 37 figs., 75 tabs.

  11. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    U.S. and China are the world’s top two economics. Together they consumed one-third of the world’s primary energy. It is an unprecedented opportunity and challenge for governments, researchers and industries in both countries to join together to address energy issues and global climate change. Such joint collaboration has huge potential in creating new jobs in energy technologies and services. Buildings in the US and China consumed about 40% and 25% of the primary energy in both countries in 2010 respectively. Worldwide, the building sector is the largest contributor to the greenhouse gas emission. Better understanding and improving the energy performance of buildings is a critical step towards sustainable development and mitigation of global climate change. This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

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  13. ORISE: Statistical Analyses of Worker Health

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

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  14. I. SUPPLEMENTARY MATERIAL Supplementary material includes the XSL file with all organisms, their coordinates in codon space, statistical

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    Carbone, Alessandra

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    Fong, Sandiway

    Statistics in Linguistics Tutorial Just a sip. . . Mike Hammond Linguistics, U. of Arizona Statistics/Hammond ­ p.1/9 #12;Overview Statistics/Hammond ­ p.2/9 #12;Overview Are our data categorical? Statistics/Hammond ­ p.2/9 #12;Overviewˇ Are our data categorical? ˇ Typological claims Statistics

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    FISHERY STATISTICS OF THE UNITED STATES 1964 STATISTICAL DIGEST NO. 58 UNITED STATES DEPARTMENT Bureau of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 58 FISHERY STATISTICS.S. Government Printing Office, Washington, D.C., 20402 - Price S2.50 (paper cover) #12;Fishery statistics

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    FISHERY STATISTICS OF THE UNITED STATES 1963 STATISTICAL DIGEST NO. 57 UNITED STATES DEPARTMENT of Commercial Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 57 FISHERY STATISTICS OF THE UNITEDTernment Printing Office, Washington, D.C., 20402 - Price $2.25 (paper c #12;Fishery statistics of the United States

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    FISHERY STATISTICS OF THE UNITED STATES 1962 STATISTICAL DIGEST NO. 56 UNITED STATES DEPARTMENT Fisheries, Donald L. McKernan, Director STATISTICAL DIGEST 56 FISHERY STATISTICS OF THE UNITED STATES 1962.S. Government Printing Office, Washington, D.C., 20402 - Price $2.25 (paper cover) #12;Fishery statistics

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    Div,, . FISHERY STATISTICS OF THE UNITED STATES 1961 STATISTICAL DIGEST NO. 54 UNITED STATES, Donald L. MeKernan, Director STATISTICAL DIGEST 54 FISHERY STATISTICS OF THE UNITED STATES 1961 BY E. A, Washington, D.C. 20402 - Price $2 (paper cover) #12;Fishery statistics of the United States are compiled