Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
Source: National Bureau of Statistics (NBS), China EnergyNations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic of
Energy Consumption of Personal Computing Including Portable
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
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01T23:59:59.000Z
the primary energy production and consumption statistics areProduction Hydroelectricity Primary Consumption J.E.Sinton, China’s Energy StatisticsStatistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production
International Energy 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1Diesel prices increaseshort version) TheHowNetRegional 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville PowerTariff Pages default SignEnergy4 3.4 Myriam PerezCapsulesFebruary 25, 1998JuneOctoberJuly 2003
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
International Energy Statistics - EIA
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706 802 1979-2013 Adjustments 32 35 -4 8Data Tools & ModelsInternational
International Energy 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1Diesel prices increaseshort version) TheHowNetRegional
Equi-energy sampler with applications in statistical inference and statistical mechanics
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.
Solar Energy Education. Renewable energy: a background text. [Includes glossary
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)
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Nations Commodity Trade Statistics Database. New York:National Bureau of Statistics of the People's Republic ofYearbook. Beijing: China Statistics Press. 2. Transformation
Accuracy and reliability of China's energy statistics
Sinton, Jonathan E.
2001-01-01T23:59:59.000Z
China’s Energy Statistics Mtce Primary Consumption Coal Primary Consumption Total Energy Primary Production Primary Production Natural Gas Oil Primary Consumption
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...
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...
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development
Chen, Tsuhan
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Stedman (Natural Resources), Jeff Tester (Sustainable Energy Institute and Chemical & Biomolecular Engineering) W. VA #12;Energy Transitions: A Systems Approach August 2011 version Page 2 Energy
Solar Energy Education. Renewable energy: a background text. [Includes
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million CubicRefinersUpcomingSmall-Industrial Sign Inedition (Technical
Understanding Manufacturing Energy Use Through Statistical Analysis
Kissock, J. K.; Seryak, J.
2004-01-01T23:59:59.000Z
Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end...
Energy Department Expands Gas Gouging Reporting System to Include...
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...
Key China Energy Statistics 2011
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Total Energy Chinese Vessels Refueling Abroad Export ForeignOther Energy Chinese Vessels Refueling Abroad Export Foreignof Energy Import Chinese Vessels Refueling Abroad Export
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
of Energy Import Chinese Vessels Refueling Abroad Exportof Energy Import Chinese Vessels Refueling Abroad Exportof Energy Import Chinese Vessels Refueling Abroad Export
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
sequestered carbon in non-energy use petroleum products suchTotal Primary Energy Supply Liquid Petroleum Gas RefineryPrimary Energy Supply Refinery Gas Petroleum Other Products
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
sequestered carbon in non-energy use petroleum products suchd) Mtce Liquid Petroleum Gas Total Primary Energy SupplyQuantity Liquid Petroleum Gas Total Primary Energy Supply
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
per Total Primary Energy Supply (2009) tonnes CO 2 /tceChanges Total Primary Energy Supply Transfer The east regionconsumers. Total primary energy supply equals to the total
Key China Energy Statistics 2012
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*
Key China Energy Statistics 2011
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
International Energy Statistical Review. Monthly report
Not Available
1987-01-01T23:59:59.000Z
The International Energy Statistical Review provides current information and comparisons with recent years for a variety of topics on international energy; almost all concern some aspect of the petroleum and natural gas industries. Six charts deal respectively with total Free World oil production, OAPEC oil production, non-Arab oil production, Free World and USSR oil production, inland oil consumption, and net oil imports. In general, the time period covers the last four or five years. The remainder of the Review is made up of 31 tables, covering such disparate topics as production, capacity, reserves, trade, consumption and stocks. Areas covered include the world, Free World, OPEC, OAPEC, OECD, selected developed countries, Western Europe, China, USSR, and Eastern Europe.
Solar Energy Education. Reader, Part II. Sun story. [Includes glossary
Not Available
1981-05-01T23:59:59.000Z
Magazine articles which focus on the subject of solar energy are presented. The booklet prepared is the second of a four part series of the Solar Energy Reader. Excerpts from the magazines include the history of solar energy, mythology and tales, and selected poetry on the sun. A glossary of energy related terms is included. (BCS)
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
Total Primary Energy Supply Transfer The east region ofTotal Final Energy Consumption by Regional Shares East SouthEnergy Consumption by Region (1995-2009) AAGR Mtce East
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Total Primary Energy Supply Transfer The east region ofTotal Final Energy Consumption by Region Mtce East SouthTotal Final Energy Consumption by Regional Shares East South
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
per Total Primary Energy Supply (2008) tonne CO 2 /tce tonneChanges Total Primary Energy Supply Transfer The east regionconsumers. Total primary energy supply equals to the total
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
electricity produced by a nuclear power plant. Hydro showsIndigenous Production - Nuclear Power Recovery of EnergyIndigenous Production - Nuclear Power Recovery of Energy
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
electricity produced by a nuclear power plant. Hydro showsIndigenous Production - Nuclear Power Recovery of EnergyIndigenous Production - Nuclear Power Recovery of Energy
International energy indicators. [Statistical tables and graphs
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.
Free Energy Efficiency Kit includes CFL light bulbs,
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
Calibration in High-Energy Astrophysics Statistical Methods
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
Including Retro-Commissioning in Federal Energy Savings Performance...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
11.2 Retro-Cx in Federal ESPCs Including Retro-Commissioning In Federal Energy Saving Performance Contracts Retro-commissioning generally reduces operating and maintenance costs,...
BP Statistical Review of World Energy
Trade movements 30 Coal 30 Reserves and prices 32 Production and consumption 35 Nuclear energy 35BP Statistical Review of World Energy June 2012 bp.com/statisticalreview 1 Introduction 1 Group chief executive's introduction 2 2011 in review 6 Oil 6 Reserves 8 Production and consumption 15 Prices
Optimal Energy Management Strategy including Battery Health through Thermal
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
Industrial Ventilation Statistics Confirm Energy Savings Opportunity
Litomisky, A.
2006-01-01T23:59:59.000Z
INDUSTRIAL VENTILATION STATISTICS CONFIRM ENERGY SAVINGS OPPORTUNITY Ales Litomisky, President, Ecogate, Inc., Glendale, California This is a statistical analysis of workstation activity in the industrial ventilation industry (most data.... Vital Numbers: 28 ventilation systems (19 from USA, 8 from Europe, 1 from Canada), a total of 622 workstations monitored over 542 months represent over 4.8 million data records collected and analyzed. Data published in this report is unknown...
Calibration in High-Energy Astrophysics Statistical Computation
van Dyk, David
Calibration in High-Energy Astrophysics Statistical Computation Back to Calibration Uncertainty Partially Collapsed Gibbs Samplers #12;Calibration in High-Energy Astrophysics Statistical Computation Back to Calibration Uncertainty Empirical Illustrations Outline 1 Calibration in High-Energy Astrophysics Scientific
IEA Energy Statistics | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh Plains Wind Farm Jump to: navigation, search NameHydroIDT Energy Jump to: navigation,
Solar Energy Education. Reader, Part II. Sun story. [Includes glossary]
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (Million CubicRefinersUpcomingSmall-Industrial Sign Inedition (Technical Report) |(Technical
Non resonant transmission modelling with Statistical modal Energy distribution Analysis
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
Generalized Energy Statistics and Kostka-Macdonald Polynomials
RIMS-1704 Generalized Energy Statistics and Kostka-Macdonald Polynomials By Anatol N. KIRILLOV of the modified Macdonald polynomial as a generating function of the energy statistics defined on the set of paths generalizations of the energy statistics on the set of BBS-paths which all, conjecturally, have the same
Energy conservation, counting statistics, and return to equilibrium
Jaksic, Vojkan
Energy conservation, counting statistics, and return to equilibrium V. JaksiÂ´c1 , J. Panangaden1 to the joint thermal equilibrium state, we study the Full Counting Statistics (FCS) of the energy transfers , A. Panati1,2 , C-A. Pillet2 1 Department of Mathematics and Statistics, McGill University, 805
Solving The High Energy Evolution Equation Including Running Coupling Corrections
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.
THEORY OF SUPERCOOLED LIQUIDS AND GLASSES: ENERGY LANDSCAPE AND STATISTICAL
Stillinger, Frank
THEORY OF SUPERCOOLED LIQUIDS AND GLASSES: ENERGY LANDSCAPE AND STATISTICAL GEOMETRY PERSPECTIVES of This Article 32 II. The Energy Landscape 33 III. Statistical Geometry and Structure 39 A. Void Geometry. DEBENEDETII ET AL. food, communications, energy, and engineering plastics industries. We review important
Interim performance criteria for photovoltaic energy systems. [Glossary included
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.
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...
VIBROACOUSTICS AT HIGH FREQUENCIES Coupling of Statistical Energy Analysis and numerical methods
Huerta, Antonio
VIBROACOUSTICS AT HIGH FREQUENCIES Coupling of Statistical Energy Analysis and numerical methods at high frequencies. Instead, a statistical approach (Statistical Energy Analysis) can be used: Deterministic methods: expensive and too detailed at high frequencies. Statistical methods: require energy
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 Data Center Home Page on Delicious RankShale_Gas.pdfServiceDepartment ofEnergyPlusEnergy ExpertSecurityAugustAnnounces New.
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development
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
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 Data Center Home Page on DeliciousPlasma | Department of EnergyBraking System forBiodiesel andCombustion |electrodes |Incinerator
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 Data Center Home Page on DeliciousPlasma | Department of EnergyBraking System forBiodiesel andCombustion |electrodes |IncineratorContracts |
Statistical Tools for Analyzing the Cosmic Ray Energy Spectrum
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.
Journal of Statistical Physics, Vol. 74. Nos. 1/2, 1994 Energy-Level Statistics of Model Quantum
Bleher, Pavel
Journal of Statistical Physics, Vol. 74. Nos. 1/2, 1994 Energy-Level Statistics of Model Quantum limit of a distribution for annuli of finite area. KEY WORDS: Energy-level statistics; integrable Received June 17. 1993 We investigate the statistics of the number N(R, S) of lattice points, n EZ
Bidding strategies for renewable energy generation with non stationary statistics
Giannitrapani, Antonello
function (cdf ) of the power generation at the same hour. Under the assumption of time-invariant statisticsBidding strategies for renewable energy generation with non stationary statistics A. Giannitrapani,paoletti,vicino,zarrilli}@dii.unisi.it Abstract: The intrinsic variability in non-dispatchable power generation raises important challenges
Calibration in High-Energy Astrophysics Statistical Methods
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
Baseballs and Barrels: World Statistics Day | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
of October not only marks the beginning of Major League Baseball's World Series and Energy Awareness Month, but also the celebration of the first ever World Statistics Day on...
Equilibrium Statistical-Thermal Models in High-Energy Physics
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.
Particle Energy Spectrum, Revisited from a Counting Statistics Perspective
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.
Statistical energy analysis of nonlinear vibrating systems
Spelman, G. M.; Langley, R. S.
2015-01-01T23:59:59.000Z
structure, so any error due to the absence of this portion of the power input in the global energy balance is acceptable. 11 Proc. R. Soc. B Figure 4. (top) Coupling surface from single integral in equation (2.12), (bottom), SEA coupling loss... described in Section 2.1. Examples will be given of different excitation regimes and amplitudes to highlight the range of cases with approach can be applied to. The solution of the equation (2.20) for a given case can be done using a suitable algebraic...
Lazaridis, Themis
on statistical effective energy functions. Although the theoretical foundation of such functions is not clear physical effective energy function SEEF statistical effective energy function Introduction Approaches augmented by implicit solvation models, provide physical effective energy functions that are beginning
International energy indicators. [International and US statistics
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.
Damping Estimation of Plates for Statistical Energy Analysis
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...
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION,
Stanford University
OPTIMAL OPERATION OF AN INTEGRATED ENERGY PARK INCLUDING FOSSIL FUEL POWER GENERATION, CO2 CAPTURE combustion turbine, and wind generation. Energy park com- ponents are modeled using energy and mass balances. A formal optimization proce- dure is used to determine the optimal hourly dispatch of energy park
Accounting for the Energy Consumption of Personal Computing Including Portable Devices
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
Spatial Statistical Procedures to Validate Input Data in Energy Models
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.
Key World Energy Statistics-2010 | Open Energy Information
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Rubin, Herman [bio] Professor of Statistics and Mathematics PhD: University of Chicago 1948. Office: MATH 550; Phone: +1 765 49-46054; Email: ...
Research on the Statistical Method of Energy Consumption for Public Buildings in China
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...
Research on the Statistical Method of Energy Consumption for Public Buildings in China
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...
UN-Energy Statistics Database | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks -09-0018-CXNuonYuchengRichlands, VirginiaTuntutuliakMaryland) Jump to:Energy
Adams, T.
This article presents the physics case for a new high-energy, ultra-high statistics neutrino scattering
Theory of Point Processes and Some Basic Notions in Energy Level Statistics #
Theory of Point Processes and Some Basic Notions in Energy Level Statistics # Nariyuki MINAMI@sakura.cc.tsukuba.ac.jp Abstract Although it is not explicitly stated in physics literature, energy level statistics is based upon. In this survey article, we present a purely phenomenological view of energy level statistics based on the theory
Brewer, Carol
, styrofoam balls, copper wire, and nails. Instead of textbooks and a well-rehearsed laboratory setup
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, KrakÂ´ow, Poland
Statistical fluctuations of ground-state energies and binding energies in nuclei
A. Molinari; H. A. Weidenmueller
2004-03-11T23:59:59.000Z
The statistical fluctuations of the ground-state energy and of the binding energy of nuclei are investigated using both perturbation theory and supersymmetry. The fluctuations are induced by the experimentally observed stochastic behavior of levels in the vicinity of neutron threshold. The results are compared with a recent analysis of binding-energy fluctuations by Bohigas and Leboeuf, and with theoretical work by Feshbach et al.
Heavy quark collisional energy loss in the quark-gluon plasma including finite relaxation time
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.
Energy conservation, counting statistics, and return to equilibrium
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.
Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a
Catholic University of Chile (Universidad Católica de Chile)
Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara-takers. Wind energy rates as a possible alternative which, while com- plementing other energy options, could
The Cost of Conserved Energy As An Investment Statistic
Meier, A. K.
1984-01-01T23:59:59.000Z
. However, a second group of measure, namely, the firm must-P;y higher (or not measures lowers consumption by increasing the reduced) energy bills. So the appropriate com efficiency of energy use. These measures include parison for conservation investments... means that we have substituted $3000 capital investment for 75,000 kWh of electricity or, on a unit basis, 4 cents for each kWh. Is this a good investment? To answer this question, we must determine the cost of 75,000 kWh from other available...
Energy Independent Solution to the Solar Neutrino Anomaly including the SNO data
Sandhya Choubey; Srubabati Goswami; D. P. Roy
2001-09-03T23:59:59.000Z
The global data on solar neutrino rates and spectrum, including the SNO charged current rate, can be explained by LMA, LOW or the energy independent solution -- corresponding to near-maximal mixing. All the three favour a mild upward renormalisation of the Cl rate. A mild downward shift of the $B$ neutrino flux is favoured by the energy independent and to a lesser extent the LOW solution, but not by LMA. Comparison with the ratio of SK elastic and SNO charged current scattering rates favours the LMA over the other two solutions, but by no more than $1.5\\sigma$.
ENTROPY: A COUNTERPART IN STATISTICAL ENERGY A. Le Bot, A. Carbonelli, J. Perret-Liaudet
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
Dynamics on statistical samples of potential energy surfaces Keith D. Balla)
Berry, R. Stephen
Dynamics on statistical samples of potential energy surfaces Keith D. Balla) Department of Physics study extends this work by examining robustness of master equations based only on statistical samples description is either impossible or infeasible. We ask whether such ``statistical'' master equations can
Energy Information Administration Official Energy Statistics from the U.S. Government
Annual Energy Outlook 2009 Reference Case Presentation -- December 17, 2008 The economy, oil prices-enacted policies and concerns over greenhouse gas (GHG) emissions, combined with high energy prices, moderate AEO includes a wide range of price cases 2007 dollars per barrel #12;4EIA Annual Energy Outlook 2009
32. Statistics 1 32. STATISTICS
Masci, Frank
an overview of statistical methods used in High Energy Physics. In statistics, we are interested in using and their statistical uncertainties in High Energy Physics. In Bayesian statistics, the interpretation of probability32. Statistics 1 32. STATISTICS Revised September 2007 by G. Cowan (RHUL). This chapter gives
Statistical mechanics of a correlated energy landscape model for protein folding funnels
Plotkin, Steven S.
Statistical mechanics of a correlated energy landscape model for protein folding funnels Steven S scientists view protein folding as a complex chemical reaction. Another fruitful analogy from statistical possible protein configurations is sufficient for understanding folding kinetics in many re- gimes
Wireless Throughput and Energy Efficiency with Random Arrivals and Statistical Queueing Constraints
Gursoy, Mustafa Cenk
Wireless Throughput and Energy Efficiency with Random Arrivals and Statistical Queueing Constraints Mustafa Ozmen and M. Cenk Gursoy Abstract--Throughput and energy efficiency in fading channels are studied. Throughput is further studied in certain asymptotic regimes. Furthermore, energy efficiency is analyzed
Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changesStatistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models
Nonequilibrium Statistics of a Reduced Model for Energy Transfer in Waves
Tabak, Esteban G.
Nonequilibrium Statistics of a Reduced Model for Energy Transfer in Waves R. E. LEE DEVILLE Courant, with the subsequent dynamics transferring the energy to longer scales. The main dissipation mechanism is wave breaking, which usually acts on much longer (gravity) waves that intermittently remove energy from the wave system
Statistics of Landscapes Based on Free Energies, Replication and Degradation Rate Constants of
Stadler, Peter F.
Statistics of Landscapes Based on Free Energies, Replication and Degradation Rate Constants of RNA are computed from primary sequences by means of a folding algorithm which uses a minimum free energy criterion. Free energies as well as replication and degradation rate constants are derived from secondary
ELSEVIER Physica D 107 (1997) 322-325 Statistical mechanics of correlated energy landscape models
Plotkin, Steven S.
1997-01-01T23:59:59.000Z
ELSEVIER Physica D 107 (1997) 322-325 PHYSICA Statistical mechanics of correlated energy landscape in the energy landscape of heteropolymers and proteins, specifically their role in the glass transition q are quantitatively similar to the results for an uncorrelated landscape or random energy model
CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency
Ravindran, Binoy
CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency@mitre.org ABSTRACT We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA/utility functions. For battery-powered embedded systems, system-level energy consumption is also a primary concern
Reddy, T. A.; Claridge, D.; Wu, J.
1992-01-01T23:59:59.000Z
Statistical models of energy use in commercial buildings are being increasingly used not only for predicting retrofit savings but also for identifying improper operation of HVAC systems. The conventional approach involves using multiple regression...
SPACE WEATHER, VOL. ???, XXXX, DOI:10.1029/, Statistical Study of Low-Energy Heliosphere Particle provide important statistical information that can be used to estimate the low-energy radiation dosages addresses the statistics of the low-energy electron and proton radiation ( 50 keV to 5 MeV) beyond 1 AU
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
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.
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.
Jet quenching with running coupling including radiative and collisional energy losses
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.
Reliability evaluation of electric power generation systems including unconventional energy sources
Lago-Gonzalez, Alex
1984-01-01T23:59:59.000Z
energy derived directly from sunlight as well as indirectly in the form of wind, waves, tides, ocean thermal gradients, or as fuel from biomass and other photochemical reaction products), geothermal, and fusion(also known as con- trolled thermonuclear...
CEBAF energy upgrade program including re-work of CEBAF cavities
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.
Energy Landscapes of a Hairpin Peptide Including NMR Chemical Shift Restraints
Carr, Joanne M.; Whittlestone, Chris S.; Wade, David C.; Wales, David J.
2015-07-14T23:59:59.000Z
structures of similar energy (? = 0.7). The number of stationary points also decreases as ? in- creases. More importantly, the proportion of minima classified as native according to structural order parameters for backbone hydro- gen bonding and TRP... = 0.5 was used throughout the current work). It has also been noted that predicted chemical shifts can be very sensitive to small changes in protein structure. 10 4 Conclusions We have systematically explored the effects on the energy landscape...
The Cost of Conserved Energy As An Investment Statistic
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...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41cloth Documentation DataDepartment of EnergyOn-Farm Biofuelin HawaiiNaturalAdvancedintegrated data analysis
A Statistical Prediction-based Scheme for Energy-aware Multimedia Data Streaming
Bhandarkar, Suchendra "Suchi" M.
A Statistical Prediction-based Scheme for Energy-aware Multimedia Data Streaming Yong Wei Surendar multimedia objects has fueled the demand of mobile streaming multimedia. A necessary criterion for the mass prediction-based client-side strategies to reduce the wireless network interface card (WNIC) energy
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
32. Statistics 1 32. STATISTICS
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
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.
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.
Clerk, Aashish
2011-01-01T23:59:59.000Z
PHYSICAL REVIEW A 84, 043824 (2011) Full counting statistics of energy fluctuations in a driven (Received 3 June 2011; published 14 October 2011) We consider the statistics of time-integrated energy cascading of fluctuations, these statistics are surprisingly nonclassical: the low-temperature, quantum
Low energy chiral two pion exchange potential with statistical uncertainties
R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola
2015-05-12T23:59:59.000Z
We present a new phenomenological Nucleon-Nucleon chiral potential fitted to 925 pp and 1743 np scattering data selected from the Granada-2013 NN-database up to a laboratory energy of $125$ MeV with 20 short distance parameters and three chiral constants $c_1$, $c_3$ and $c_4$ with $\\chi^2/\
Statistical Mechanics of Money, Income, Debt, and Energy Consumption
Lathrop, Daniel P.
, as a consequence of entropy maximization. Analysis of empirical data shows that income distributions in the USAStatistical Mechanics of Money, Income, Debt, and Energy Consumption Physics Colloquium Presented") distribution, and its share of the total income expands and contracts dramatically during booms and busts
T. Adams; P. Batra; L. Bugel; L. Camilleri; J. M. Conrad; A. de Gouvêa; P. H. Fisher; J. A. Formaggio; J. Jenkins; G. Karagiorgi; T. R. Kobilarcik; S. Kopp; G. Kyle; W. A. Loinaz; D. A. Mason; R. Milner; R. Moore; J. G. Morfín; M. Nakamura; D. Naples; P. Nienaber; F. I. Olness; J. F. Owens; S. F. Pate; A. Pronin; W. G. Seligman; M. H. Shaevitz; H. Schellman; I. Schienbein; M. J. Syphers; T. M. P. Tait; T. Takeuchi; C. Y. Tan; R. G. Van de Water; R. K. Yamamoto; J. Y. Yu
2009-06-19T23:59:59.000Z
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.
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.
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)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside the PresentationsjobsClimateSeminars & ConferencesStaff Home
International Monetary Fund-Data and Statistics | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP aCentrothermDepew,Independent EnergyInternational Maritime Law Institute (IMLI) Jump to:
Canadian National Energy Use Database: Statistics and Analysis | Open
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks - As PreparedBovina, Texas: EnergyCM Bioenergia
RITA-Bureau of Transportation Statistics | Open Energy Information
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An overview of component qualification using Bayesian statistics and energy
Office of Scientific and Technical Information (OSTI)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23TribalInformation Access toTenEnvironmentdecays (Journal Article) | SciTechperoxidaseand Puand
WHO Statistical Information System (WHOSIS) | Open Energy Information
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 onsource History View NewUS National Fuel Cell ResearchVerticalVisualization of UnitedWAC -WACEnergyWACWHL Energy Ltd
UN-Glossary for Transportation Statistics | Open Energy Information
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FY 2014 Budget Request Statistical Table | Department of Energy
Office of Environmental Management (EM)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318Cubic Feet)893 725 718 679DecemberContactWaste Management Â»
Generalizations of quantum statistics
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.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318Cubic Feet) YearSalesNew2003 Detailed TablesProved56 125 1022001ES5 Figure
Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]
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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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability toNext MECS412
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability.492Next MECS337
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability.492Next MECS337
Level: National and Regional Data; Row: End Uses; 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability.492Next
Level: National and Regional Data; Row: End Uses; 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability.492Next6 End
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article)41clothThe Bonneville Power Administration would like submit the followingCommittees The1CompanyMISR, andComparison of
Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh Plains Wind Farm Jump to:Indianapolis,Open Energy InformationStudy) (Webinar) | Open
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a gHigh4-FD-a < RAPIDâ€Ž |SpaceThe German Wind Energy Institute DEWIWestInformation
Constraints on dark energy from new observations including Pan-STARRS
Zheng, Wei [Department of Physics, Nanjing University, Nanjing, 210093 China (China); Li, Si-Yu [Theoretical Physics Division, Institute of High Energy Physics, Chinese Academy of Science, P.O. Box 918-4, Beijing, 100049 (China); Li, Hong; Xia, Jun-Qing [Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Science, P.O. Box 918-3, Beijing, 100049 (China); Li, Mingzhe [Interdisciplinary Center for Theoretical Study, University of Science and Technology of China, Hefei, Anhui, 230026 China (China); Lu, Tan, E-mail: physicsweiwei@gmail.com, E-mail: lisy@ihep.ac.cn, E-mail: hongli@ihep.ac.cn, E-mail: xiajq@ihep.ac.cn, E-mail: limz@ustc.edu.cn, E-mail: t.lu@pmo.ac.cn [Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, 210008 China (China)
2014-08-01T23:59:59.000Z
In this paper, we set the new limits on the equation of state parameter (EoS) of dark energy with the observations of cosmic microwave background radiation (CMB) from Planck satellite, the type Ia supernovae from Pan-STARRS and the baryon acoustic oscillation (BAO). We consider two parametrization forms of EoS: a constant w and time evolving w(a)=w{sub 0}+w{sub a}(1-a). The results show that with a constant EoS, w=-1.141±0.075 68% C.L.), which is consistent with ?CDM at about 2? confidence level. For a time evolving w(a) model, we get w{sub 0}=-1.09{sup +0.16}{sub -0.18} 1? C.L.), w{sub a}=-0.34{sup +0.87}{sub -0.51} 1? C.L.), and in this case ?CDM can be comparable with our observational data at 1? confidence level. In order to do the parametrization independent analysis, additionally we adopt the so called principal component analysis (PCA) method, in which we divide redshift range into several bins and assume w as a constant in each redshift bin (bin-w). In such bin-w scenario, we find that for most of the bins cosmological constant can be comparable with the data, however, there exists few bins which give w deviating from ?CDM at more than 2? confidence level, which shows a weak hint for the time evolving behavior of dark energy. To further confirm this hint, we need more data with higher precision.
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.
Bleher, Pavel
VOLUME 71, NUMBER 19 PHYSICAL REVIEW LETTERS 8 NOVEMBER 1993 Non-Gaussian Energy Level Statistics statistics [1,4). We first describe the results informally in the language of energy levels and then give with energy less than E of an integrable quantum system with two degrees of freedom is equal to XE+sE', where
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.
Far-reaching statistical consequences of the zero-point energy for the harmonic oscillator
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.
An Exact Modeling of Signal Statistics in Energy-integrating X-ray Computed Tomography
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
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.
Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle
Statistical Learning Controller for the energy management in a Fuel Cell Electric Vehicle M standard vehicles more polluting and expensive ([4]). Electric Vehicles (EVs) are the most efficient zero the acceptance of these cars in the current car market. Hybrid Electric Vehicles (HEVs) are considered
Baxter, Van D [ORNL
2007-02-01T23:59:59.000Z
The long range strategic goal of the Department of Energy's Building Technologies (DOE/BT) Program is to create, by 2020, technologies and design approaches that enable the construction of net-zero energy homes at low incremental cost (DOE/BT 2005). A net zero energy home (NZEH) is a residential building with greatly reduced needs for energy through efficiency gains, with the balance of energy needs supplied by renewable technologies. While initially focused on new construction, these technologies and design approaches are intended to have application to buildings constructed before 2020 as well resulting in substantial reduction in energy use for all building types and ages. DOE/BT's Emerging Technologies (ET) team is working to support this strategic goal by identifying and developing advanced heating, ventilating, air-conditioning, and water heating (HVAC/WH) technology options applicable to NZEHs. In FY05 ORNL conducted an initial Stage 1 (Applied Research) scoping assessment of HVAC/WH systems options for future NZEHs to help DOE/BT identify and prioritize alternative approaches for further development. Eleven system concepts with central air distribution ducting and nine multi-zone systems were selected and their annual and peak demand performance estimated for five locations: Atlanta (mixed-humid), Houston (hot-humid), Phoenix (hot-dry), San Francisco (marine), and Chicago (cold). Performance was estimated by simulating the systems using the TRNSYS simulation engine (Solar Energy Laboratory et al. 2006) in two 1800-ft{sup 2} houses--a Building America (BA) benchmark house and a prototype NZEH taken from BEopt results at the take-off (or crossover) point (i.e., a house incorporating those design features such that further progress towards ZEH is through the addition of photovoltaic power sources, as determined by current BEopt analyses conducted by NREL). Results were summarized in a project report, HVAC Equipment Design options for Near-Zero-Energy Homes--A Stage 2 Scoping Assessment, ORNL/TM-2005/194 (Baxter 2005). The 2005 study report describes the HVAC options considered, the ranking criteria used, and the system rankings by priority. In 2006, the two top-ranked options from the 2005 study, air-source and ground-source versions of a centrally ducted integrated heat pump (IHP) system, were subjected to an initial business case study. The IHPs were subjected to a more rigorous hourly-based assessment of their performance potential compared to a baseline suite of equipment of legally minimum efficiency that provided the same heating, cooling, water heating, demand dehumidification, and ventilation services as the IHPs. Results were summarized in a project report, Initial Business Case Analysis of Two Integrated Heat Pump HVAC Systems for Near-Zero-Energy Homes, ORNL/TM-2006/130 (Baxter 2006a). The present report is an update to that document which summarizes results of an analysis of the impact of adding a humidifier to the HVAC system to maintain minimum levels of space relative humidity (RH) in winter. The space RH in winter has direct impact on occupant comfort and on control of dust mites, many types of disease bacteria, and 'dry air' electric shocks. Chapter 8 in ASHRAE's 2005 Handbook of Fundamentals (HOF) suggests a 30% lower limit on RH for indoor temperatures in the range of {approx}68-69F based on comfort (ASHRAE 2005). Table 3 in chapter 9 of the same reference suggests a 30-55% RH range for winter as established by a Canadian study of exposure limits for residential indoor environments (EHD 1987). Harriman, et al (2001) note that for RH levels of 35% or higher, electrostatic shocks are minimized and that dust mites cannot live at RH levels below 40%. They also indicate that many disease bacteria life spans are minimized when space RH is held within a 30-60% range. From the foregoing it is reasonable to assume that a winter space RH range of 30-40% would be an acceptable compromise between comfort considerations and limitation of growth rates for dust mites and many bacteria. In addition it reports som
The Low energy structure of the Nucleon-Nucleon interaction: Statistical vs Systematic Uncertainties
R. Navarro Perez; J. E. Amaro; E. Ruiz Arriola
2015-05-15T23:59:59.000Z
We analyze the low energy NN interaction by confronting statistical vs systematic uncertainties. This is based on the analysis of 6 different potentials fitted to the Granada-2013 database where a statistically meaningful partial wave analysis comprising a total of $6713$ np and pp published scattering data from 1950 till 2013 below pion production threshold has been made. This required the design and implementation of three new interactions which are introduced here. We extract threshold parameters uncertainties from the coupled channel effective range expansion up to $j \\le 5$. We find that for threshold parameters systematic uncertainties are generally at least an order of magnitude larger than statistical uncertainties. Similar results are found for np phase-shifts and amplitude parameters.
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.
Low-energy cutoffs in electron spectra of solar flares: statistical survey
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.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of Wnt Recognition by Frizzled SSRLDr. Donald L. Cook Foron516 Statistical
Equilibrium statistical mechanics and energy partition for the shallow water model
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...
California at Berkeley, University of
RHESSI MICROFLARE STATISTICS. II. X-RAY IMAGING, SPECTROSCOPY, AND ENERGY DISTRIBUTIONS I. G distribution of RHESSI flares and compare it to previous thermal energy distributions of transient events. We flares down to nanoflares. The fre- quency distribution of the energy in these events has been studied
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
Data-Driven Benchmarking of Building Energy Efficiency Utilizing Statistical Frontier Models
Kavousian, A; Rajagopal, R
2014-01-01T23:59:59.000Z
Frontier methods quantify the energy efficiency of buildings by forming an efficient frontier (best-practice technology) and by comparing all buildings against that frontier. Because energy consumption fluctuates over time, the efficiency scores are stochastic random variables. Existing applications of frontier methods in energy efficiency either treat efficiency scores as deterministic values or estimate their uncertainty by resampling from one set of measurements. Availability of smart meter data (repeated measurements of energy consumption of buildings) enables using actual data to estimate the uncertainty in efficiency scores. Additionally, existing applications assume a linear form for an efficient frontier; i.e.,they assume that the best-practice technology scales up and down proportionally with building characteristics. However, previous research shows that buildings are nonlinear systems. This paper proposes a statistical method called stochastic energy efficiency frontier (SEEF) to estimate a bias-corrected efficiency score and its confidence intervals from measured data. The paper proposes an algorithm to specify the functional form of the frontier, identify the probability distribution of the efficiency score of each building using measured data, and rank buildings based on their energy efficiency. To illustrate the power of SEEF, this paper presents the results from applying SEEF on a smart meter data set of 307 residential buildings in the United States. SEEF efficiency scores are used to rank individual buildings based on energy efficiency, to compare subpopulations of buildings, and to identify irregular behavior of buildings across different time-of-use periods. SEEF is an improvement to the energy-intensity method (comparing kWh/sq.ft.): whereas SEEF identifies efficient buildings across the entire spectrum of building sizes, the energy-intensity method showed bias toward smaller buildings. The results of this research are expected to assist researchers and practitioners compare and rank (i.e.,benchmark) buildings more robustly and over a wider range of building types and sizes. Eventually, doing so is expected to result in improved resource allocation in energy-efficiency programs.
Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing
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...
Development of Statistical Energy Analysis Tools for Toyota Motor Engineering & Manufacturing
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...
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.
Yan V Fyodorov; Jean-Philippe Bouchaud
2008-08-18T23:59:59.000Z
We investigate some implications of the freezing scenario proposed by Carpentier and Le Doussal (CLD) for a random energy model (REM) with logarithmically correlated random potential. We introduce a particular (circular) variant of the model, and show that the integer moments of the partition function in the high-temperature phase are given by the well-known Dyson Coulomb gas integrals. The CLD freezing scenario allows one to use those moments for extracting the distribution of the free energy in both high- and low-temperature phases. In particular, it yields the full distribution of the minimal value in the potential sequence. This provides an explicit new class of extreme-value statistics for strongly correlated variables, manifestly different from the standard Gumbel class. -
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
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318Cubic Feet) YearSalesNew2003 Detailed TablesProved56 125 1022001 ES1 Figure
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
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.
www.eia.gov 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5,:,, , ., ..., atPREDICTINGMagnetocoriolis7,1996 NYOUR BENEFIT
Electric Power Monthly, August 1990. [Glossary included
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.
Broader source: Energy.gov [DOE]
President Barack Obama signed into law the American Recovery and Reinvestment Act of 2009 (P.L.111-5). The $787 billion economic recovery package represents the largest and most ambitious effort to stimulate the economy in United States history. The Department of Energy (DOE) will be responsible for implementing over $38 billion of the $787 billion package. Of the DOE total, $4.5 Billion is allotted to the Office of Electricity Delivery and Energy Reliability.
Delande, D.; Gay, J.C.
1986-10-20T23:59:59.000Z
The transition to chaos in ''the hydrogen atom in a magnetic field'' is numerically studied and shown to lead to well-defined signature on the energy-level fluctuations. Upon an increase in the energy, the calculated statistics evolve from Poisson to Gaussian orthogonal ensemble according to the regular or chaotic character of the classical motion. Several methods are employed to test the generic nature of these distributions.
Statistics of publicly owned electric utilities in the United States: 1979, energy data report
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.
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)
Zhigilei, Leonid V.
applications. Current research interests include oxidation and corrosion of ceramics and ceramic matrix materials for hypersonic aircraft. At high-speeds, plasma is formed around the aircraft, resulting to further the use of these composites, we are characterizing deposit induced and internal corrosion
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability toNext MECS
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production%3.PDFFeet)Decreases (Billion CubicDecadeper0 Capability toNext MECS4
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).
Fernández-Nieto, E D; Narbona-Reina, G; Zabsonré, J D
2015-01-01T23:59:59.000Z
In this work we present a deduction of the Saint-Venant-Exner model through an asymptotic analysis of the Navier-Stokes equations. A multi-scale analysis is performed in order to take into account that the velocity of the sediment layer is smaller than the one of the fluid layer. This leads us to consider a shallow water type system for the fluid layer and a lubrication Reynolds equation for the sediment one. This deduction provides some improvements with respect to the classical Saint-Venant-Exner model: (i) the deduced model has an associated energy. Moreover, it allows us to explain why classical models do not have an associated energy and how to modify them in order to recover a model with this property. (ii) The model incorporates naturally a necessary modification that must be taken into account in order to be applied to arbitrarily sloping beds. Furthermore, we show that this modification is different of the ones considered classically, and that it coincides with a classical one only if the solution ha...
Springer Series in Statistics Springer Series in Statistics
Cappé, Olivier
Springer Series in Statistics Springer Series in Statistics Inference in Hidden Markov Models class of statistical models with applications in diverse areas such as communications engineering models, including both algo- rithms and statistical theory. Topics range from filtering and smoothing
Hegerfeldt, G.C.; Henneberg, R. (Institut fuer Theoretische Physik, University of Goettingen, D-37073 Goettingen (Germany))
1994-05-01T23:59:59.000Z
The statistical analysis of energy levels, a powerful tool in the study of quantum systems, is applicable to discrete spectra. Here we propose an approach to carry level statistics over to continuous energy spectra, paradoxical as this may sound at first. The approach proceeds in three steps, first a discretization of the spectrum by cutoffs, then a statistical analysis of the resulting discrete spectra, and finally a determination of the limit distributions as the cutoffs are removed. In this way the notions of Wigner and Poisson distributions for nearest-neighbor spacing (NNS), usually associated with quantum chaos and regularity, can be carried over to systems with a purely continuous energy spectrum. The approach is demonstrated for the hydrogen atom in perpendicular electric and magnetic fields. This system has a purely continuous energy spectrum from [minus][infinity] to [infinity]. Depending on the field parameters, we find for the NNS a Poisson or a Wigner distribution, or a transitional behavior. We also outline how to determine physically relevant resonances in our approach by a stabilization method.
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).
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.
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)
Yalcin, C; Rauscher, T; Kiss, G G; Özkan, N; Güray, R T; Halász, Z; Szücs, T; Fülöp, Zs; Korkulu, Z; Somorjai, E
2015-01-01T23:59:59.000Z
Astrophysical reaction rates, which are mostly derived from theoretical cross sections, are necessary input to nuclear reaction network simulations for studying the origin of $p$ nuclei. Past experiments have found a considerable difference between theoretical and experimental cross sections in some cases, especially for ($\\alpha$,$\\gamma$) reactions at low energy. Therefore, it is important to experimentally test theoretical cross section predictions at low, astrophysically relevant energies. The aim is to measure reaction cross sections of $^{107}$Ag($\\alpha$,$\\gamma$)$^{111}$In and $^{107}$Ag($\\alpha$,n)$^{110}$In at low energies in order to extend the experimental database for astrophysical reactions involving $\\alpha$ particles towards lower mass numbers. Reaction rate predictions are very sensitive to the optical model parameters and this introduces a large uncertainty into theoretical rates involving $\\alpha$ particles at low energy. We have also used Hauser-Feshbach statistical model calculations to s...
UNDERSTANDING MANUFACTURING ENERGY USE THROUGH STATISTICAL ANALYSIS KELLY KISSOCK AND JOHN SERYAK
Kissock, Kelly
data points that are relatively easy for most plants to obtain. Multivariable change- point models, pioneered the practice of automatically fitting variable-base degree-day (VBDD) models to residential utility data (Fels, 1986; Fels et al. 1995). PRISM employs three primary types of statistical models
Hunter, David
, following the publication of Venables & Ripley (1994). [See p. 1. Where that takes a significantly betterÂPlus include dynamic graphics (x6.3, brush and spin) and the classical statistics functions (x9 environment. It will help to have the library ripley available --- it should be in the same source
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM MATTHEW STEPHENS Departments of Statistics and Human statistical methods in genomics, among other areas of application. A typical workflow consists of i
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM HUIBIN ZHOU Department of Statistics Yale University to obtain statistical inference for estimation of Gaussian Graphical Model? A regression approach
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM JEROME FRIEDMAN Department of Statistics Stanford Ensemble methods have emerged as being among the most powerful statistical learning techniques. It is shown
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SAMUEL KOU Department of Statistics Harvard University Stochastic Inference of Dynamic System Models: From Single-Molecule Experiments to Statistical
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GOURAB MUKHERJEE Department of Statistics Stanford directions in statistical probability forecasting. Building on these parallels we present a frequentist
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ZONGMING MA Department of Statistics University (CCA) is a widely used multivariate statistical technique for exploring the relation between two sets
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM INGRAM OLKIN Department of Statistics Stanford probability, statistics, combinatorics and graphs, numerical analysis and matrix theory. Special emphasis
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM KAMIAR RAD Department of Statistics Columbia carrying a finite total amount of information, the asymptotic sufficient statistics of the stimulus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ADRIAN RAFTERY Department of Statistics University will describe a Bayesian statistical method for probabilistic population projections for all countries
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.
Valuation of wind energy projects and statistical analysis of wind power
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 ...
Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models
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...
Monthly energy review, November 1998
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.
Monthly energy review, January 1999
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.
Monthly energy review, March 1999
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.
Monthly energy review, February 1999
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.
Monthly energy review, October 1998
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.
Monthly energy review, August 1997
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.
Monthly energy review, June 1998
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.
Monthly energy review, July 1998
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.
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM DAVID BLEI Department of Statistics and Computer posterior inference algorithms have revolutionized Bayesian statistics, revealing its potential as a usable and general-purpose language for data analysis. Bayesian statistics, however, has not yet reached
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.
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.
Crow, Ben D
2006-01-01T23:59:59.000Z
of Globalization: Statistics Weiss, L. (1997). "of Globalization: Statistics Milanovic, B. (1999). Truethe focus of global statistics, particularly in relation to
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
LeeAnn Martinez (505) 667-3308 Email Find Expertise header Search our employee skills database Statistical Sciences Statistical Sciences provides statistical reasoning and...
Towards energy resolution at the statistical limit from a negative ion time projection chamber
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.
Statistical Analysis of Historical State-Level Residential Energy Consumption Trends
Belzer, David B.; Cort, Katherine A.
2004-08-01T23:59:59.000Z
Developing an accurate picture of the major trends in energy consumption in the nation’s stock of residential buildings can serve a variety of national and regional program planning and policy needs related to energy use. This paper employs regression analysis and uses the PRISM (Princeton Scorekeeping Method) approach with historical data to provide some insight into overall changes in the thermal integrity of the residential building stock by state. Although national energy use intensity estimates exist in aggregate, these numbers shed little light on what drives building consumption, as opposing influences are hidden within the measurement (e.g., more appliances that increase energy use while shell improvements reduce it). This study addresses this issue by estimating changes in the reference temperatures that best characterize the existing residential building stock on a state basis. Improvements in building thermal integrity are reflected by declines in the heating reference temperature, holding other factors constant. Heating and cooling-day estimates to various reference temperatures were computed from monthly average temperature data for approximately 350 climatic divisions in the U.S. A simple cross-sectional analysis is employed to try to explain the differential impacts across states. Among other factors, this analysis considers the impact that the relative growth in the number of residential buildings and the stringency of building energy codes has had on residential building energy use. This paper describes the methodology used, presents results, and suggests directions for future research.
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.
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
C. Yalcin; Gy. Gyürky; T. Rauscher; G. G. Kiss; N. Özkan; R. T. Güray; Z. Halász; T. Szücs; Zs. Fülöp; Z. Korkulu; E. Somorjai
2015-04-07T23:59:59.000Z
Astrophysical reaction rates, which are mostly derived from theoretical cross sections, are necessary input to nuclear reaction network simulations for studying the origin of $p$ nuclei. Past experiments have found a considerable difference between theoretical and experimental cross sections in some cases, especially for ($\\alpha$,$\\gamma$) reactions at low energy. Therefore, it is important to experimentally test theoretical cross section predictions at low, astrophysically relevant energies. The aim is to measure reaction cross sections of $^{107}$Ag($\\alpha$,$\\gamma$)$^{111}$In and $^{107}$Ag($\\alpha$,n)$^{110}$In at low energies in order to extend the experimental database for astrophysical reactions involving $\\alpha$ particles towards lower mass numbers. Reaction rate predictions are very sensitive to the optical model parameters and this introduces a large uncertainty into theoretical rates involving $\\alpha$ particles at low energy. We have also used Hauser-Feshbach statistical model calculations to study the origin of possible discrepancies between prediction and data. An activation technique has been used to measure the reaction cross sections at effective center of mass energies between 7.79 MeV and 12.50 MeV. Isomeric and ground state cross sections of the ($\\alpha$,n) reaction were determined separately. The measured cross sections were found to be lower than theoretical predictions for the ($\\alpha$,$\\gamma$) reaction. Varying the calculated averaged widths in the Hauser-Feshbach model, it became evident that the data for the ($\\alpha$,$\\gamma$) and ($\\alpha$,n) reactions can only be simultaneously reproduced when rescaling the ratio of $\\gamma$- to neutron width and using an energy-dependent imaginary part in the optical $\\alpha$+$^{107}$Ag potential.......
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.
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.
Statistical Laboratory & Department of Statistics
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM Joint seminar with Stevanovich Center PHILIPPE RIGOLLET Operations Research and Financial Engineering, Princeton University The Statistical Price to Pay ABSTRACT Computational limitations of statistical problems have largely been ignored or simply over- come
Monthly energy review, July 1996
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.
Monthly energy review, January 1996
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.
Kawano, T; Weidenmüller, H A
2015-01-01T23:59:59.000Z
Using a random-matrix approach and Monte-Carlo simulations, we generate scattering matrices and cross sections for compound-nucleus reactions. In the absence of direct reactions we compare the average cross sections with the analytic solution given by the Gaussian Orthogonal Ensemble (GOE) triple integral, and with predictions of statistical approaches such as the ones due to Moldauer, to Hofmann, Richert, Tepel, and Weidenm\\"{u}ller, and to Kawai, Kerman, and McVoy. We find perfect agreement with the GOE triple integral and display the limits of validity of the latter approaches. We establish a criterion for the width of the energy-averaging interval such that the relative difference between the ensemble-averaged and the energy-averaged scattering matrices lies below a given bound. Direct reactions are simulated in terms of an energy-independent background matrix. In that case, cross sections averaged over the ensemble of Monte-Carlo simulations fully agree with results from the Engelbrecht-Weidenm\\"{u}ller ...
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...
EIA - Advice from Meetings of the ASA Committee on Energy 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1Diesel prices increase nationally The U.S.Diesel prices up
www.eia.gov U.S. Energy Information Administration 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1DieselRegular gasolinegasoline0,Feb-15 Note 1.32Fuel OilFebruary 12,
www.eia.gov U.S. Energy Information Administration 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production% of41.1DieselRegular gasolinegasoline0,Feb-15 Note 1.32Fuel OilFebruary
Evaluating and Monitoring Energy Conservation in Multibuilding Clusters with Statistical Models
Darwin, R. F.; Mazzucchi, R. P.
1988-01-01T23:59:59.000Z
increases when the total number of hours increases, the number of nighttime hours increases, the number of heating degree days increases, and the number of cooling degree days increases. The model al- so indicates that the use of elec- tricity has... or cooling degree days, F-day, as ap- propriate. Time-sensi tive variables. The time-sensitive portions of energy consum~tion are ca~tured bv the- trend term and the' length of the billing period. The purpose of the trend term is to determine whether...
Statistical study of free magnetic energy and flare productivity of solar active regions
Su, J. T.; Jing, J.; Wang, S.; Wang, H. M. [Space Weather Research Laboratory, New Jersey Institute of Technology, University Heights, Newark, NJ 07102-1982 (United States); Wiegelmann, T., E-mail: sjt@bao.ac.cn [Max-Planck-Institut fur Sonnensystemforschung, Max-Planck-Strasse 2, D-37191 Katlenburg-Lindau (Germany)
2014-06-20T23:59:59.000Z
Photospheric vector magnetograms from the Helioseismic and Magnetic Imager on board the Solar Dynamic Observatory are utilized as the boundary conditions to extrapolate both nonlinear force-free and potential magnetic fields in solar corona. Based on the extrapolations, we are able to determine the free magnetic energy (FME) stored in active regions (ARs). Over 3000 vector magnetograms in 61 ARs were analyzed. We compare FME with the ARs' flare index (FI) and find that there is a weak correlation (<60%) between FME and FI. FME shows slightly improved flare predictability relative to the total unsigned magnetic flux of ARs in the following two aspects: (1) the flare productivity predicted by FME is higher than that predicted by magnetic flux and (2) the correlation between FI and FME is higher than that between FI and magnetic flux. However, this improvement is not significant enough to make a substantial difference in time-accumulated FI, rather than individual flare, predictions.
Redamy Perez-Ramos; David d'Enterria
2014-08-15T23:59:59.000Z
The moments of the single inclusive momentum distribution of hadrons in QCD jets, are studied in the next-to-modified-leading-log approximation (NMLLA) including next-to-leading-order (NLO) corrections to the alpha_s strong coupling. The evolution equations are solved using a distorted Gaussian parametrisation, which successfully reproduces the spectrum of charged hadrons of jets measured in e+e- collisions. The energy dependencies of the maximum peak, multiplicity, width, kurtosis and skewness of the jet hadron distribution are computed analytically. Comparisons of all the existing jet data measured in e+e- collisions in the range sqrt(s)~2-200 GeV to the NMLLA+NLO* predictions allow one to extract a value of the QCD parameter Lambda_QCD, and associated two-loop coupling constant at the Z resonance alpha_s(m_Z^2)= 0.1195 +/- 0.0022, in excellent numerical agreement with the current world average obtained using other methods.
Statistical Laboratory & Department of Statistics
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM GONGJUN XU Department of Statistics Columbia University Statistical Inference for Diagnostic Classification Models MONDAY, February 18, 2013 at 4:00 PM-driven construction (estimation) of the Q-matrix and related statistical issues of DCMs. I will first give
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ERNST WIT Statistics and Probability University devices collect a lot of information, typically about few independent statistical subjects or units statistics. In certain special cases the method can be tweaked to obtain L1-penalized GLM solution paths
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PO-LING LOH Department of Statistics University the seminar in Eckhart 110 ABSTRACT Noisy and missing data are prevalent in many real-world statistical, and provide theoretical guarantees for the statistical consistency of our methods. Although our estimators
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SAYAN MUKHERJEE Department of Statistical Science vignettes where topological ideas are explored in statistical models of complex traits, machine learning such as sufficient statistics and dictionary learning will be touched on. I will describe an application
Department of Statistics STATISTICS COLLOQUIUM
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
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM NOUREDDINE EL KAROUI Department of Statistics will discuss the behavior of widely used statistical methods in the high-dimensional setting where the number surprising statistical phenomena occur: for instance, maximum likelihood methods are shown to be (grossly
Monthly energy review, December 1995
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.
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PETER GUTTORP University of Washington and Norwegian Computing Center The Heat Is On! A Statistical Look at the State of the Climate MONDAY, May 6, 2013 at 4
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
Experimental Mathematics and Computational Statistics
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.
Bender, Jason D.; Doraiswamy, Sriram; Candler, Graham V., E-mail: truhlar@umn.edu, E-mail: candler@aem.umn.edu [Department of Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, Minnesota 55455 (United States); Truhlar, Donald G., E-mail: truhlar@umn.edu, E-mail: candler@aem.umn.edu [Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455 (United States)
2014-02-07T23:59:59.000Z
Fitting potential energy surfaces to analytic forms is an important first step for efficient molecular dynamics simulations. Here, we present an improved version of the local interpolating moving least squares method (L-IMLS) for such fitting. Our method has three key improvements. First, pairwise interactions are modeled separately from many-body interactions. Second, permutational invariance is incorporated in the basis functions, using permutationally invariant polynomials in Morse variables, and in the weight functions. Third, computational cost is reduced by statistical localization, in which we statistically correlate the cutoff radius with data point density. We motivate our discussion in this paper with a review of global and local least-squares-based fitting methods in one dimension. Then, we develop our method in six dimensions, and we note that it allows the analytic evaluation of gradients, a feature that is important for molecular dynamics. The approach, which we call statistically localized, permutationally invariant, local interpolating moving least squares fitting of the many-body potential (SL-PI-L-IMLS-MP, or, more simply, L-IMLS-G2), is used to fit a potential energy surface to an electronic structure dataset for N{sub 4}. We discuss its performance on the dataset and give directions for further research, including applications to trajectory calculations.
Monthly energy review, April 1999
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.
Monthly energy review, August 1998
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.
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM SRIRAM SANKARARAMAN Department of Genetics Harvard Medical School Statistical Models for Analyzing Ancient Human Admixture WEDNESDAY, January 21, 2015, at 4 become available, as well as appropriate statistical models. In the first part of my talk, I will focus
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM ROBERT NOWAK Department of Electrical and Computer-dimensional statistical models to capture the complexity of such problems. Most of the work in this direction has focused of statistical inference. These procedures automatically adapt the measurements in order to focus and optimize
Department of Statistics STATISTICS COLLOQUIUM
Department of Statistics STATISTICS COLLOQUIUM PIOTR ZWIERNIK Department of Mathematics University of Genoa Understanding Statistical Models Through Their Geometry MONDAY, January 26, 2015, at 4:00 PM and Gaussian statistical models have a rich geometric structure and can be often viewed as algebraic sets
Monthly energy review, July 1997
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.
Statistical review of coal in Canada, 1997
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).
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...
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.
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.
Term statistics Zipf's law text statistics
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
.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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series SAMUEL KOU Department of Statistics Harvard University "Equi-energy Sampler: From Statistical Inference to Statistical Mechanics, for efficient statistical sampling and estimation. Complementary to the widely used temperature-domain methods
Pump apparatus including deconsolidator
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.
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 ...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirtA Journey Inside theFacebookTechnicalBio-Inspired SolarSurfaceSynchrotronshas created an analytical
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...
Living Expenses (includes approximately
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
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.
Monthly energy review, March 1997
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.
Wong, Cheuk-Yin [ORNL; Wilk, Grzegorz [National Centre for Nuclear Research, Warsaw, Poland; Cirto, Leonardo J. L. [Centro Brasileiro de Pesquisas Físicas (CBPF), Brazil; Tsallis, Constantino [Centro Brasileiro de Pesquisas Fisicas, Brazil
2015-01-01T23:59:59.000Z
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 slightly greater 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 dominance of the hard-scattering process over essentially the whole $p_T$ region at central rapidity in $pp$ collisions at LHC. We show here direct evidences of such a dominance of the hard-scattering process by investigating the power index of UA1 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 can be cast into a single-particle non-extensive statistical mechanical distribution. Because of such a connection, the non-extensive statistical mechanical distribution can 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.
Michele Arzano; Dario Benedetti
2008-09-04T23:59:59.000Z
Non-commutative quantum field theories and their global quantum group symmetries provide an intriguing attempt to go beyond the realm of standard local quantum field theory. A common feature of these models is that the quantum group symmetry of their Hilbert spaces induces additional structure in the multiparticle states which reflects a non-trivial momentum-dependent statistics. We investigate the properties of this "rainbow statistics" in the particular context of $\\kappa$-quantum fields and discuss the analogies/differences with models with twisted statistics.
Monthly energy review, April 1998
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.
Mining, Using and Maintaining Source Statistics for Adaptive Data Integration
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
Agile manufacturing from a statistical perspective
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.
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.
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.
Monthly Energy Review, February 1996
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.
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% ...
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...
Jan de Leeuw
2011-01-01T23:59:59.000Z
with Real Data ? Annals Statistics, of 5:1055-1098, 1977.The Foundations of Statistics - Are There Any ? Synthese, [Statistics and the Sciences Jan de Leeuw UCLA Statistics
ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS
Serfling, Robert
CHAPTER 1 ROBUST ESTIMATION VIA GENERALIZED L-STATISTICS: THEORY, APPLICATIONS, AND PERSPECTIVES ROBERT SERFLING University of Texas at Dallas Abstract: Generalized L-statistics, introduced in Ser ing (1984) and including classical U-statistics and L-statistics, are linear functions based on the ordered
Chen, Zehua
, researchers, and professionals in the mathematical, statistical and computational sciences, fundamental of textbooks, reference works, and handbooks. The titles included in the series are meant to appeal to students Editors N. F. Britton Department of Mathematical Sciences University of Bath Xihong Lin Department
Four Faculty Positions Applied Statistics & Computational Statistics
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
Not Available
1992-11-01T23:59:59.000Z
This is the Secretary of Energy's seventh Semiannual Report to Congress to be submitted under the Inspector General Act of 1978, as amended. Pursuant to the Inspector General Act Amendments of 1988 (Public Law 100-504), agency heads are to report to Congress on the status of final action taken on audit report recommendations. This report complements a report prepared by the Department's Office of Inspector General (IG), which provides information on audit reports issued during the period and on the status of management decisions made on IG audit reports. This report has three sections. The first outlines significant management accomplishments achieved by the Department during the reporting period. The second section contains the statistical tables that illustrate the status of final action on IG audit reports. The third lists the audit reports which are one year or more past management decision and have not completed final action. This section also provides the status of corrective actions on each of these reports.
Fast Approximate Evaluation of OLAP Queries for Integrated Statistical Data
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 such as the Bureau of Labor Statistics (BLS), the Census Bureau, the Department of Energy's Energy Information
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 334 318 706Production (Million(MillionFeet)TotalResidentialper Thousand Cubicâ€¹ See Allgo
Taylor, Stuart Glynn
2013-01-01T23:59:59.000Z
Farrar, "Energy harvesting and wireless energy transmissionet al. , "Energy harvesting and wireless energy transmissionK. M. Farinholt , et al. , "Wireless energy transmission to
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.
Monthly energy review, June 1999
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.
Monthly energy review, July 1999
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.
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) | SciTechDatastreamsmplDatastreamsxsacrspeccmaskxpol7, 2013 [Facility News, FeaturePlainsGuestField Campaign Statistics
Statistical Software - Overview
Jan De Leeuw
2011-01-01T23:59:59.000Z
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Statistical Software - Overview
Leeuw, Jan De
2010-01-01T23:59:59.000Z
Review of Statistical Software. International As- sociationStatistical Methods Need Software: A View of Statisti- calJournal of Statistical Software, 13, 2004. URL http://www.
Computing and Introductory Statistics
Kaplan, Daniel
2007-01-01T23:59:59.000Z
W. , (2007) “The Introductory Statistics Course: A PtolemaicTechnology Innovations in Statistics Education,1, Article 1.and Introductory Statistics Daniel T. Kaplan Macalester
Statistical Issues in Searches for New Physics
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.
Quantrum chaos and statistical nuclear physics
Not Available
1986-01-01T23:59:59.000Z
This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAVID VAN DYK Department of Statistics University of California, Irvine "Highly Structured Models in High Energy Astrophysics" MONDAY in Eckhart 110. ABSTRACT In recent years, an important new trend has been growing in applied statistics
2010 Renewable Energy Data Book
Broader source: Energy.gov [DOE]
The annual report is an important assessment of U.S. energy statistics for 2010, including renewable electricity, worldwide renewable energy development, clean energy investments, and data on specific technologies. The 2010 Renewable Energy Data Book is filled with information-packed charts and graphics, which allows users, from analysts to policymakers, to quickly understand and summarize trends in renewable energy -- both on a U.S. and global scale.
2011 Renewable Energy Data Book
Broader source: Energy.gov [DOE]
The annual report is an important assessment of U.S. energy statistics for 2011, including renewable electricity, worldwide renewable energy development, clean energy investments, and data on specific technologies. The 2011 Renewable Energy Data Book is filled with information-packed charts and graphics, which allows users, from analysts to policymakers, to quickly understand and summarize trends in renewable energy -- both on a U.S. and global scale.
2012 Renewable Energy Data Book
Broader source: Energy.gov [DOE]
The annual report is an important assessment of U.S. energy statistics for 2012, including renewable electricity, worldwide renewable energy development, clean energy investments, and data on specific technologies. The 2012 Renewable Energy Data Book is filled with information-packed charts and graphics, which allows users, from analysts to policymakers, to quickly understand and summarize trends in renewable energy -- both on a U.S. and global scale.
2013 Renewable Energy Data Book
Broader source: Energy.gov [DOE]
The annual report is an important assessment of U.S. energy statistics for 2013, including renewable electricity, worldwide renewable energy development, clean energy investments, and data on specific technologies. The 2013 Renewable Energy Data Book is filled with information-packed charts and graphics, which allows users, from analysts to policymakers, to quickly understand and summarize trends in renewable energy -- both on a U.S. and global scale.
EPSRC CASE Studentship Statistical Modelling of Fingerprints
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series DAN NICOLAE Department of Statistics The University of Chicago "Quantifying Correlation with Applications to Genome-Wide Association of the statistical issues involved including the need for multi-locus analyses and allowing for environmental risk
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
for raw coal Average sale price Average Coal Contract Priceand Coal Market Price for Power GenerationPrices)/Tonne Coal contract price for power generation Coal
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
for raw coal Average sale price Average Coal Contract Priceand Coal Market Price for Power GenerationPrices)/Tonne Coal contract price for power generation Coal
Key China Energy Statistics 2011
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2011
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2011
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
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
and derived fuels (coke, coke oven gas, and other cokingMt Briquettes Mt Coke Mt Coke Oven Gas Billion m 3 Other GasCoal Gas not Coke Other Total Oven Gas Coke Source Products
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
and derived fuels (coke, coke oven gas, and other cokingMt Briquettes Mt Coke Mt Coke Oven Gas Billion m 3 Other GasCoal Gas not Coke Other Total Oven Gas Coke Source Products
Key China Energy Statistics 2011
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
Key China Energy Statistics 2012
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
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
China Oil Use Refinery Loss/Self Use Residential Power Generation/Heat Commerce, Const. , Agriculture, Gov.
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
China Oil Use Refinery Loss/Self Use Residential Power Generation/Heat Commerce, Const. , Agriculture, Gov.
Key China Energy Statistics 2012
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
Key China Energy Statistics 2011
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
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
billion m 3 Total China Natural Gas Consumption: 126 billionTotal China Oil Consumption: 445 Mt Natural Gas ProductionNatural Gas Consumption (2010) United States Russia Iran China
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
China's Fuel Combustion CO 2 Emissions by Fuel Mt CO 2 Coal Oil Natural Gas Note: Data based on total final consumption
Key China Energy Statistics 2012
Levine, Mark
2013-01-01T23:59:59.000Z
Australia South Korea Other Crude Oil Production by Region (Central North West Chinese Crude Oil Production by RegionalSouth Central North West Crude Oil Producing Provinces in
Key China Energy Statistics 2011
Levine, Mark
2013-01-01T23:59:59.000Z
Mtce) AAGR Coal Raw Crude Oil Primary Electricity NaturalFuel Shares * Coal Raw Crude Oil Primary Electricity NaturalOthers Others Total Total Crude Oil Production by Region (
Key China Energy Statistics 2011
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 (
Key China Energy Statistics 2012
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 (
Universality level statistics disordered systems Heiko Bauke* and Stephan Mertens
Mertens, Stephan
k #8# check assumption statistically independent energy levels measured distribution of # kUniversality level statistics disordered systems Heiko Bauke* and Stephan Mertens + Institut published August 2004) Energy spectra disordered systems share a common feature: If entropy quenched
Problems on Non-Equilibrium Statistical Physics
Kim, Moochan
2011-08-08T23:59:59.000Z
Four problems in non-equilibrium statistical physics are investigated: 1. The thermodynamics of single-photon gas; 2. Energy of the ground state in Multi-electron atoms; 3. Energy state of the H2 molecule; and 4. The ...
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) |govInstrumentsmfrirt DocumentationSitesWeather6 Shares of U.S.CareerPASTChemistry andPhysicsClean theClockingAPEX Genepool
Bustamante, Fabián E.
YEARS 1. Life-cycle analysis of energy systems 2. Controlling legged locomotion 3. Precision mesoscale
The Annals of Statistics 2013, Vol. 41, No. 5, 22632291
Tibshirani, Ryan
of statistics used in two-sample and independence testing: on the one hand, the energy distances and distance that the energy distance most commonly employed in statistics is just one member of a parametric family of kernels of energy distance-based statistics is their compact repre- sentation in terms of certain expectations
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 on Delicious Rank EERE:Department of Energy System SafetyFALL6-OPAMConference Call Minutes65 FY 2007Statistical Table
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 on Delicious Rank EERE:Department of Energy System SafetyFALL6-OPAMConference Call Minutes658Statistical Table by
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 on Delicious Rank EERE:Department of Energy System SafetyFALL6-OPAMConference CallStatistical Table by Appropriation
Countries Gasoline Prices Including Taxes
Gasoline and Diesel Fuel Update (EIA)
stocks, imports and exports. Renewable & Alternative Fuels Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium Uranium fuel, nuclear reactors,...
Thermovoltaic semiconductor device including a plasma filter
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.
FISHERY STATISTICS UNITED STATES
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
Zhou, Yuanyuan
"" Everyone has heard the statistics about how much of an energy hog IT has become: The emissions that of the U.S. as a whole! Given the significant energy consumption of data centers, improving their energy efficiency is an important social problem. However, energy efficiency is necessary but not sufficient
Quantum particles from classical statistics
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.
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.
China Energy Databook - Rev. 4
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
China Energy Databook. Revision 4
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.
STATISTICAL MECHANICS PRACTICE EXAM 2005
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
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...
Astrophysical Thermonuclear Functions for Boltzmann-Gibbs Statistics and Tsallis Statistics
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.
Statistical method to determine some properties of atoms
Roma "La Sapienza", Università di
, the energy of an electron will be -e V , hence, accord- ing to the classical statistics, the electrons case the classical statistics held, we would have an average elec- trons kinetic energy = 3 2 kStatistical method to determine some properties of atoms Enrico Fermi, Rendiconti Lincei , 6, 602
Landscape statistics of the low autocorrelated binary string problem
Stadler, Peter F.
, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated]. In this contribution we carry out a thorough investigation of the statistical properties of the energy landscapeLandscape statistics of the low autocorrelated binary string problem Fernando F. Ferreira a , Jos
Landscape statistics of the low autocorrelated binary string problem
Stadler, Peter F.
, NM 87501, USA Abstract. The statistical properties of the energy landscape of the low autocorrelated]. In this contribution we carry out a thorough investigation of the statistical properties of the energy landscapeLandscape statistics of the low autocorrelated binary string problem Fernando F. Ferreiraa , Jos
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.
Electric power monthly, September 1990. [Glossary included
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)
International petroleum statistics report
NONE
1997-05-01T23:59:59.000Z
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics 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 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 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.
Statistical Mechanics of Black Holes
B. Harms; Y. Leblanc
1992-05-11T23:59:59.000Z
We analyze the statistical mechanics of a gas of neutral and charged black holes. The microcanonical ensemble is the only possible approach to this system, and the equilibrium configuration is the one for which most of the energy is carried by a single black hole. Schwarzschild black holes are found to obey the statistical bootstrap condition. In all cases, the microcanonical temperature is identical to the Hawking temperature of the most massive black hole in the gas. U(1) charges in general break the bootstrap property. The problems of black hole decay and of quantum coherence are also addressed.
Biomass Potentials from California Forest and Shrublands Including Fuel
Biomass Potentials from California Forest and Shrublands Including Fuel Reduction Potentials.1 Biomass Components For Energy Production...............................12 3.2 Forest Inventories................................................................. 17 3.5 Rotation Calculations and Annualization of Biomass Potentials......... 27 3.6 Energy
On diagram algebras and statistical mechanics
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
Baxter, Van D [ORNL
2006-12-01T23:59:59.000Z
The long range strategic goal of the Department of Energy's Building Technologies (DOE/BT) Program is to create, by 2020, technologies and design approaches that enable the construction of net-zero energy homes at low incremental cost (DOE/BT 2005). A net zero energy home (NZEH) is a residential building with greatly reduced needs for energy through efficiency gains, with the balance of energy needs supplied by renewable technologies. While initially focused on new construction, these technologies and design approaches are intended to have application to buildings constructed before 2020 as well resulting in substantial reduction in energy use for all building types and ages. DOE/BT's Emerging Technologies (ET) team is working to support this strategic goal by identifying and developing advanced heating, ventilating, air-conditioning, and water heating (HVAC/WH) technology options applicable to NZEHs. Although the energy efficiency of heating, ventilating, and air-conditioning (HVAC) equipment has increased substantially in recent years, new approaches are needed to continue this trend. Dramatic efficiency improvements are necessary to enable progress toward the NZEH goals, and will require a radical rethinking of opportunities to improve system performance. The large reductions in HVAC energy consumption necessary to support the NZEH goals require a systems-oriented analysis approach that characterizes each element of energy consumption, identifies alternatives, and determines the most cost-effective combination of options. In particular, HVAC equipment must be developed that addresses the range of special needs of NZEH applications in the areas of reduced HVAC and water heating energy use, humidity control, ventilation, uniform comfort, and ease of zoning. In FY05 ORNL conducted an initial Stage 1 (Applied Research) scoping assessment of HVAC/WH systems options for future NZEHs to help DOE/BT identify and prioritize alternative approaches for further development. Eleven system concepts with central air distribution ducting and nine multi-zone systems were selected and their annual and peak demand performance estimated for five locations: Atlanta (mixed-humid), Houston (hot-humid), Phoenix (hot-dry), San Francisco (marine), and Chicago (cold). Performance was estimated by simulating the systems using the TRNSYS simulation engine (Solar Energy Laboratory et al. 2006) in two 1800-ft{sup 2} houses--a Building America (BA) benchmark house and a prototype NZEH taken from BEopt results at the take-off (or crossover) point (i.e., a house incorporating those design features such that further progress towards ZEH is through the addition of photovoltaic power sources, as determined by current BEopt analyses conducted by NREL). Results were summarized in a project report, HVAC Equipment Design options for Near-Zero-Energy Homes--A Stage 2 Scoping Assessment, ORNL/TM-2005/194 (Baxter 2005). The 2005 study report describes the HVAC options considered, the ranking criteria used, and the system rankings by priority. In 2006, the two top-ranked options from the 2005 study, air-source and ground-source versions of an integrated heat pump (IHP) system, were subjected to an initial business case study. The IHPs were subjected to a more rigorous hourly-based assessment of their performance potential compared to a baseline suite of equipment of legally minimum efficiency that provided the same heating, cooling, water heating, demand dehumidification, and ventilation services as the IHPs. Results were summarized in a project report, Initial Business Case Analysis of Two Integrated Heat Pump HVAC Systems for Near-Zero-Energy Homes, ORNL/TM-2006/130 (Baxter 2006). The present report is an update to that document. Its primary purpose is to summarize results of an analysis of the potential of adding an outdoor air economizer operating mode to the IHPs to take advantage of free cooling (using outdoor air to cool the house) whenever possible. In addition it provides some additional detail for an alternative winter water heating/space heating (WH/S
Interpreting Accident Statistics
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 ...
Statistical Language Modelling
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...
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
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
Physics 630 Statistical Physics
Kioussis, Nicholas
strongly the issue of problem solving and understanding of the main concepts in Statistical PhysicsPhysics 630 Statistical Physics Spring 2005 Logistics Lecture Room: 1100 (Science I, 1st floor (Supplement) Introduction to Modern Statistical Mechanics, by David Chandler, Oxford Objectives This course
STATISTICAL COMPUTING AND GRAPHICS
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
MATHMATICS & APPLIED STATISTICS
Frey, Jesse C.
MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics
Energy Efficiency Services Sector: Workforce Size and Expectations for Growth
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
15.075 Applied Statistics, Spring 2003
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 ...
Statistical Convergence and Convergence in Statistics
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.
International Petroleum Statistics Report, July 1994
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.
Monthly energy review, March 1998
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.
ARM - Historical Field Campaign 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports(Journal Article) | SciTechDatastreamsmplDatastreamsxsacrspeccmaskxpol7, 2013 [Facility News, FeaturePlainsGuestField Campaign Statistics 2015
An overview of component qualification using Bayesian statistics...
Office of Scientific and Technical Information (OSTI)
Technical Report: An overview of component qualification using Bayesian statistics and energy methods. Citation Details In-Document Search Title: An overview of component...
Statistics and the Modern Student
Robert Gould
2011-01-01T23:59:59.000Z
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
Statistics and the Modern Student
Gould, Robert
2010-01-01T23:59:59.000Z
Technology Innovations in Statistics Education, 3(1). Wild,the "wider view" of statistics, The American Statistician,a History of Teaching Statistics, Edinburgh: John Bibby (
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
Dahl, David B.
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
Statistics 221 Statistical Computing Methods Instructor: Mark Irwin
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 Â Statistical Computing Methods Instructor: Mark Irwin Office: Science Center 235
A computational introduction to quantum statistics using harmonically trapped particles
Ligare, Martin
and multiplicities. The examples illustrate the effect of quantum statistics on the sharing of energy between weaklyA computational introduction to quantum statistics using harmonically trapped particles Martin the statistical definition of entropy and the second law of thermodynamics [Am. J. Phys. 65, 26 (1997)]. I
Nonequilibrium fluctuations, fluctuation theorems, and counting statistics in quantum systems
Mukamel, Shaul
equations and Green's functions techniques for computing the energy and particle statistics are presentedNonequilibrium fluctuations, fluctuation theorems, and counting statistics in quantum systems 1665 II. Two-Point Measurement Statistics 1668 A. The forward probability 1668 B. The time
Taylor, Stuart Glynn
2013-01-01T23:59:59.000Z
included a carbon fiber spar cap, with a fiberglass shellInner” WASP No Trailing Edge Spar Cap Low- pressure side A;0leading edge, trailing edge, spar cap, and root area of the
Practical Statistical Thinking Probability: The Language of Statistics
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 Statistics Statistics plays an important role throughout society, providing
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
Edinburgh Research Explorer Statistical Constraints
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
Energy Performance Indicator Tool | Department of Energy
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
statistical technique that estimates the dependence of a variable (typically energy consumption for energy use and intensity tracking) on one or more independent variables, such...
Gibraltar: Energy Resources | Open Energy Information
Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets...
Bermuda: Energy Resources | Open Energy Information
Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets Bermuda...
Falkland Islands: Energy Resources | Open Energy Information
Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets The...
F. Benatti; M. Fannes
1998-11-26T23:59:59.000Z
We use multi-time correlation functions of quantum systems to construct random variables with statistical properties that reflect the degree of complexity of the underlying quantum dynamics.
Kevin Cahill
2006-12-24T23:59:59.000Z
The way a field transforms under rotations determines its statistics--as is easy to see for scalar, Dirac, and vector fields.
BE.011J Statistical Thermodynamics of Biomolecular Systems, Spring 2004
Hamad-Schifferli, Kimberly
This course provides an introduction to the physical chemistry of biological systems. Topics include: connection of macroscopic thermodynamic properties to microscopic molecular properties using statistical mechanics, ...
Case Studies and Computing: Broadening the scope of statistical education
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
18.05 Introduction to Probability and Statistics, Spring 2005
Panchenko, Dmitry
This course provides an elementary introduction to probability and statistics with applications. Topics include: basic probability models; combinatorics; random variables; discrete and continuous probability distributions; ...
Stellar Evolution A Statistical Model
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
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
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.
Statistical Mechanics of Two-dimensional Foams
Marc Durand
2010-09-07T23:59:59.000Z
The methods of statistical mechanics are applied to two-dimensional foams under macroscopic agitation. A new variable -- the total cell curvature -- is introduced, which plays the role of energy in conventional statistical thermodynamics. The probability distribution of the number of sides for a cell of given area is derived. This expression allows to correlate the distribution of sides ("topological disorder") to the distribution of sizes ("geometrical disorder") in a foam. The model predictions agree well with available experimental data.
Weakly sufficient quantum statistics
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.
Statistical laws in linguistics
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...
8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2005
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 ...
8.333 Statistical Mechanics I: Statistical Mechanics of Particles, Fall 2007
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 ...
Protein Folding: A Perspective From Statistical Physics
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^{\
Baranger, Harold U.
; published 5 July 2005 Despite considerable work on the energy-level and wave function statistics substantial disagreement in several statistics which involve both integrating over space and different energy over space. Here we particularly study statistics involving both different energies and integration
Applied Math & Statistics: Statistics Minor Curriculum Chart: 2013-2014
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
Statistics: Part 1 1. Why bother with statistics?
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
Statistics 36-756: Advanced Statistics II Syllabus: Fall, 2006
Fienberg, Stephen E.
Statistics 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 36-756: Advanced Statistics I, such as exchangeability, the axiomatic foundation of subjective probability
Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development
Walter, M.Todd
, renewable sources, but at least in the short term many may be new ways of extracting and using hydrocarbons of unconventional gas resources as a result of declining supplies of conventional resources, local and regional we focused on the case of un- conventional natural gas recovery from the Marcellus shale In addition
Introduction to Small-Scale Wind Energy Systems (Including RETScreen...
Programs DeploymentPrograms: Project Development This video teaches the viewer about wind turbines and RETscreen's wind...
Statistics of football dynamics
Mendes, R S; Anteneodo, C
2007-01-01T23:59:59.000Z
We investigate the dynamics of football matches. Our goal is to characterize statistically the temporal sequence of ball movements in this collective sport game, searching for traits of complex behavior. Data were collected over a variety of matches in South American, European and World championships throughout 2005 and 2006. We show that the statistics of ball touches presents power-law tails and can be described by $q$-gamma distributions. To explain such behavior we propose a model that provides information on the characteristics of football dynamics. Furthermore, we discuss the statistics of duration of out-of-play intervals, not directly related to the previous scenario.
Spectral statistics of nearly unidirectional quantum graphs
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.
Spectral statistics of nearly unidirectional quantum graphs
Maram Akila; Boris Gutkin
2015-08-19T23:59:59.000Z
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.
Stellar Evolution A Statistical Model
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
FISHERY STATISTICS E UNITED STATES
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
ARNAB MAITY Department of Statistics
Maity, Arnab
May, 2015 ARNAB MAITY Department of Statistics North Carolina State University Campus Box 8203 2008 Ph.D., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J.S., Statistics, Department of Statistics, Texas A&M University Co-advisors: Dr. Raymond J. Carroll and Dr. Bani
Dave
2012-03-25T23:59:59.000Z
Statistics in Excel. 1. Type the measurement data into consecutive cells in Excel. NOTE: they do not need to be in one column, but the cells should be adjacent.
Massimo Testa
2015-07-30T23:59:59.000Z
Based on the fundamental principles of Relativistic Quantum Mechanics, we give a rigorous, but completely elementary, proof of the relation between fundamental observables of a statistical system when measured relatively to two inertial reference frames, connected by a Lorentz transformation.
2008 world direct reduction statistics
NONE
2009-07-01T23:59:59.000Z
This supplement discusses total direct reduced iron (DRI) production for 2007 and 2008 by process. Total 2008 production by MIDREX(reg sign) direct reduction process plants was over 39.8 million tons. The total of all coal-based processes was 17.6 million tons. Statistics for world DRI production are also given by region for 2007 and 2008 and by year (1970-2009). Capacity utilization for 2008 by process is given. World DRI production by region and by process is given for 1998-2008 and world DRI shipments are given from the 1970s to 2008. A list of world direct reduction plants is included.
Michael A. Posner Department of Mathematics and Statistics, Villanova University
Frey, Jesse C.
including SAS (including macro programming), Minitab, S+/R, nQuery, DataDesk, JMP, StatTransfer, DBMS copy, DBMS engines, PHStat, and Excel's statistics toolpack. Proficient in Hebrew and Spanish. Teaching
Statistics and Quantitative Risk Management for Banking and In-
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
Prices include compostable serviceware and linen tablecloths
California at Davis, University of
APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen
Heat-exchange statistics in driven open quantum systems
S. Gasparinetti; P. Solinas; A. Braggio; M. Sassetti
2014-07-29T23:59:59.000Z
As the dimensions of physical systems approach the nanoscale, the laws of thermodynamics must be reconsidered due to the increased importance of fluctuations and quantum effects. While the statistical mechanics of small classical systems is relatively well understood, the quantum case still poses challenges. Here we set up a formalism that allows to calculate the full probability distribution of energy exchanges between a periodically driven quantum system and a thermalized heat reservoir. The formalism combines Floquet theory with a generalized master equation approach. For a driven two-level system and in the long-time limit, we obtain a universal expression for the distribution, providing clear physical insight into the exchanged energy quanta. We illustrate our approach in two analytically solvable cases and discuss the differences in the corresponding distributions. Our predictions could be directly tested in a variety of systems, including optical cavities and solid-state devices.
Quantum Chaos and Statistical Mechanics
Mark Srednicki
1994-06-14T23:59:59.000Z
We briefly review the well known connection between classical chaos and classical statistical mechanics, and the recently discovered connection between quantum chaos and quantum statistical mechanics.
Computer, Computational, and Statistical Sciences
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
CCS Computer, Computational, and Statistical Sciences Computational physics, computer science, applied mathematics, statistics and the integration of large data streams are central...
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.
Intermediate statistics for a system with symplectic symmetry: the Dirac rose graph
statistics formed of a gas of energy levels interacting with a logarithmic potential. Spectral statisticsIntermediate statistics for a system with symplectic symmetry: the Dirac rose graph J.M. Harrison1 Abstract We study the spectral statistics of the Dirac operator on a rose-shaped graph-- a graph
Statistics and samples 1.1 What is statistics?
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
Statistics and Differential Geometry 18-466 Mathematical Statistics
Le Ny, Jerome
Statistics and Differential Geometry 18-466 Mathematical Statistics Jerome Le Ny December 14, 2005 of statistical curvature [Efr75], that most of the main concepts and methods of differ- ential geometry are of substantial interest in connection with the theory of statistical inference. This report describes in simple
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics
Wolfe, Patrick J.
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics Xiao-Li Meng Late evening instead to the Bell Telephone Laboratories.'' Having one's statistical research rooted in and moti- vated by real-life applications became a hallmark of Harvard Statistics' outlook (or ``departmentality'') from
The University of Chicago Department of Statistics
important for studying diverse phenom- ena such as climate change, oil spills, energy efficiency and city accelerated re- cently, with great industrial and societal impacts. The prevailing statistical framework of the error rate of a prediction rule, tuning parameter selection, bandwidth selection in kernel models
STATISTICS ESSENTIAL SKILL OUTCOME STATEMENTS
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
Creativity in Science Department of Mathematics and Statistics
Priest, Eric
, the interior includes a core (where the energy is generated by thermonuclear reactions) and a turbulent
Thermodynamics for Fractal Statistics
Wellington da Cruz
1998-12-15T23:59:59.000Z
We consider for an anyon gas its termodynamics properties taking into account the fractal statistics obtained by us recently. This approach describes the anyonic excitations in terms of equivalence classes labeled by fractal parameter or Hausdorff dimension $h$. An exact equation of state is obtained in the high-temperature and low-temperature limits, for gases with a constant density of states.
Physical Makeup of the DCO Interesting Statistics
Physical Makeup of the DCO PDLR13 Interesting Statistics TEMPERATURE AND HUMIDITY · Temp aisle) up to 90ºF (32ºC) · Battery power for 4 minute shutdown PUMP ROOM · Redundant heat exchangers and pumps; use cycled for even wear · Pumps have back-up generators · Pumping system also includes
BP Statistical Review of World Energy
Laughlin, Robert B.
's introduction 2 2007 in review Oil 6 Reserves 8 Production 11 Consumption 16 Prices 17 Stocks 18 Refining 20 and The data in this year's Review again shows the reserves of oil, gas volatile prices, reflecting a tight Trade movements Natural gas 22 Reserves 24 Production 27 Consumption 30 Trade movements 31 Prices Coal
Statistical Energy Analysis 2 Long. 3 Long.
Berlin,Technische Universität
. B.A.T. Petersson #12;6 · Built-up structures Heat pump · Structure-borne waves · Liquid theory SEA Wave theory SEA Hybrides © Prof. B.A.T. Petersson SEA · Why analyse and predict vibro
VTPI-Transportation Statistics | Open Energy Information
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousPlasmaP a g eWorks -09-0018-CXNuonYuchengRichlands,projectUrat Rear BannerUtilityVANE Uranium One
Industrial Ventilation Statistics Confirm Energy Savings Opportunity
Litomisky, A.
2006-01-01T23:59:59.000Z
stream_source_info ESL-IE-06-05-17.pdf.txt stream_content_type text/plain stream_size 22273 Content-Encoding UTF-8 stream_name ESL-IE-06-05-17.pdf.txt Content-Type text/plain; charset=UTF-8 INDUSTRIAL VENTILATION.../4 2003/6 2003/8 2003/10 2004/1 2004/3 2004/5 2004/7 2004/9 2004/11 2005/1 2005/3 2005/5 W o r kst at i o n ac t i vi t y [ % ] 20 18 16 14 12 10 8 6 4 2 0 Overall average is 14.07% of shift time, the maximum 21% of shift time Chart 1B: percent...
Lectures on probability and statistics
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.
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
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
Dahl, David B.
BS in STATISTICS: Applied Statistics and Analytics Emphasis (695234) MAP Sheet Department of Statistics For students entering the degree program during the 20142015 curricular year. UNIVERSITY CORE* Calculus 1 Math 113 Calculus 2 Complete one course from the following: Stat 121 Principles of Statistics
A Reformed CDM including new Mechanisms for
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
EE Regional Technology Roadmap Includes comparison
) Identify the NW's energy efficiency opportunities and business challenge; Craft a Regional EE Technology by Regional leaders) Sift and Prioritize Selected sponsor must : 1. Provide detailed design 2. Collect xyz HVAC Computer/Electronics Commercial Bldgs. Residential Bldgs. Industrial/Ag/Municipal Energy
A different approach to introducing statistical mechanics
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...
Leveraging High Performance Computation for Statistical Wind Prediction
Leveraging High Performance Computation for Statistical Wind Prediction Cy P Chan James R Stalker Alan Edelman Stephen R Connors WINDPOWER 2010 American Wind Energy Association Dallas, Texas, USA May 2326, 2010 #12;Leveraging High Performance Computation for Statistical Wind Prediction Cy P Chan
Statistical Model Checking for Networks of Priced Timed Automata
David, Alexandre
Statistical Model Checking for Networks of Priced Timed Automata Alexandre David1 , Kim G. Larsen1- and cost-bounded properties. A second contribution of the paper is the application of Statistical Model-time and hybrid systems with quantitative constraints on time, energy or more general continuous aspects [1
Quadratic interior-point methods in statistical disclosure control
2003-05-09T23:59:59.000Z
the tables is made up of the aggregated information of several individuals, the statistical ... In the current Information Society, National Statistical Institutes (NSIs) play ..... diagonal block of B, while system with matrix .... complementary cell suppression, manuscript, Energy Information Adminis- ... Dandekar@eia.doe.gov
Building Energy Monitoring and Analysis
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.
Weatherization Assistance Program - Background Data and Statistics
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.
Topic A Note: Includes STEPS Subtopic
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23Tribal Energy Program GrantState Energy Loan ProgramHydraulicReno,We'veDepartmentBelow
Statistical simulation procedures
Tremelling, Robert Norman
1970-01-01T23:59:59.000Z
that theoretical procedures are im- practical. Thus, with the advent of the electronic computer, numeri ca'I or simul ation procedures for ap- proximating this distribution function have been de- veloped. For the extension of the Stratified Monte Carlo (S. M... distribution functions ano their parameters. With the rising importance of statistics, and the advent of the computer, Honte Carlo methods are just now being investigated. Although definitions of Honte Carlo samplino may differ, it is usually associated...
Replica exchange statistical temperature Monte Carlo Jaegil Kim,a
Straub, John E.
of temperatures in each replica and achieves a flat energy sampling employing the generalized sampling weight temperature. Faster weight determination, through the dynamic update of the statistical temperature, and the flat energy sampling, maximizing energy overlaps between neighboring replicas, lead to a considerable
Improving constraints on the neutrino mass using sufficient statistics
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_\
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.
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.
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.
DYNAMIC MODELLING OF AUTONOMOUS POWER SYSTEMS INCLUDING RENEWABLE POWER SOURCES.
Paris-Sud XI, Université de
DYNAMIC MODELLING OF AUTONOMOUS POWER SYSTEMS INCLUDING RENEWABLE POWER SOURCES. ABSTRACT The use of renewable energies for electricity production presents a growing interest, especially in autonomous power production imposes several difficulties to the power system operation when penetration is high. Here, a model
Experimental Statistics NBS Handbook 91: Experimental Statistics [1] was
as a series of five Army Ordnance Pamphlets OSRDDP 20-110-114. The publication was prepared in the Statistical
Bayesian Statistics Stochastic Simulation -Gibbs sampling
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
C. Shane Reese Department of Statistics
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
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium ANDREA MONTANARI Departments of Electrical Engineering and Statistics Stanford University Sharp Thresholds in Statistical an important role in some sta- tistical learning and statistical signal processing problems, in part because
EPI BIO 560 STATISTICAL CONSULTING 0.5 credit
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
STAT 639V: Topics in Statistics Statistical Computing
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
Turks and Caicos Islands: Energy Resources | Open Energy Information
Energy Company 0 Research Institutions Add a Research Institution References UN Statistics Division CIA World Factbook, Appendix D Reegle Clean Energy Datasets Turks...
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
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.
8.592J / HST.452J Statistical Physics in Biology, Spring 2005
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 ...
Sessions include: Beginning Farmer and Rancher
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
Statistical Modeling of Photovoltaic Reliability Using Accelerated Degradation Techniques (Poster)
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.
STATISTICAL MECHANICS AND FIELD THEORY
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
INDIAN STATISTICAL INSTITUTE Annual Report
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
Statistical Performance Modeling of SRAMs
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...
Gas storage materials, including hydrogen storage materials
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.
Gas storage materials, including hydrogen storage materials
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.
Monthly energy review. May 1998
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.
Energy Audit Practices in China: National and Local Experiences and Issues
Shen, Bo
2011-01-01T23:59:59.000Z
statistics, energy management procedures, the performance of all major energy-consuming equipment, energy consumption relative to products and production,
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362 of Thomas P.Oil, andEnergyEnvironmentalofResearchNOT U.S. Department1515NRD-115)Department of
Writing Motor Specifications - How to Include Efficiency
Quartermaine, B. J.
1980-01-01T23:59:59.000Z
. The present worth values used recognize that the in-service dates may start several years after the tender evaluation period. The energy costs used are a composite value based on the forecast mix of gene~a? tion facilities, i.e. hydro, fossil and nuclear... - March 1978. 2. Ontario Hydro, "A New Era - A Symposium on the Potential for High Efficiency Motors in Industry". Presented in Toronto - November 1979. 372 ESL-IE-80-04-66 Proceedings from the Second Industrial Energy Technology Conference Houston...
INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; RADIATION
Office of Scientific and Technical Information (OSTI)
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23Tribal EnergyCatalyticPreparation andEnabling grapheneSciDAC37489-FPHybridI ?; 1087 - E1 -Calibration
PROGRAMME SPECIFICATION Programme title: Statistics
Guillas, Serge
in statistical theory and applications which enables graduates to enter specialist employment or academic in statistical computing and communication are assessed by coursework only. The summer project is assessedPROGRAMME SPECIFICATION Programme title: Statistics Final award (BSc, MA etc): (where stopping off
Business Statistics 207 Summer, 2013
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
International petroleum statistics report
NONE
1995-10-01T23:59:59.000Z
The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This 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). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.
Fertilizer Statistics for Texas.
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...
Economics, Mathematics, Statistics MONTANA STATE UNIVERSITY BOZEMAN MOUNTAINS & MINDS
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
Emergent irreversibility and entanglement spectrum statistics
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.
Energy Efficiency Services Sector: Workforce Size and Expectations for Growth
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
Energy Efficiency Services Sector: Workforce Size and Expectations for Growth
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
Energy Efficiency Services Sector: Workforce Size and Expectations for Growth
Goldman, Charles
2010-01-01T23:59:59.000Z
of Labor Statistics. Energy Efficiency Services Sector:DC. American Council for an Energy Efficient Economy. EnergyAmerican Council for an Energy-Efficient Economy. Eto, J. ,
Energy Efficiency Services Sector: Workforce Size and Expectations for Growth
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
Experimental uncertainty estimation and statistics for data having interval uncertainty.
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.
FY 2011 Statistical Table by Appropriation
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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India Energy Outlook: End Use Demand in India to 2020
de la Rue du Can, Stephane
2009-01-01T23:59:59.000Z
Statistics and Programme Implementation published a condensed version of statics related to energy production and consumption (
BS in STATISTICS: Statistical Science Emphasis (695220) MAP Sheet Department of Statistics
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
Communication in automation, including networking and wireless
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
Electrochemical cell including ribbed electrode substrates
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).
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5 TablesExports to3,1,50022,3,,0,,6,1,Separation 23 362Transmission:portion5WhenEnergy 3 for the State Energy30021Analysis of LM Stakeholder
[Article 1 of 7: Motivates and Includes the Consumer]
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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[Article 1 of 7: Motivates and Includes the Consumer]
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 |andWaterResidentialPhysicsZYGOteam Energy Central series on
[Article 1 of 7: Motivates and Includes the Consumer]
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 |andWaterResidentialPhysicsZYGOteam Energy Central series on2 of
[Article 1 of 7: Motivates and Includes the Consumer]
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 |andWaterResidentialPhysicsZYGOteam Energy Central series on2
[Article 1 of 7: Motivates and Includes the Consumer]
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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:5(Million Cubic Feet) Oregon (Including Vehicle Fuel) (MillionStructural Basis of5, 2014 |andWaterResidentialPhysicsZYGOteam Energy Central series
Dynamics and Statistical Mechanics of Rotating and non-Rotating Vortical Flows
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.
Plasma analogy and non-Abelian statistics for Ising-type quantum...
Office of Scientific and Technical Information (OSTI)
EXCITATION; ISING MODEL; PLASMA; QUANTUM FIELD THEORY; QUANTUM STATES; QUASI PARTICLES; STATISTICS; WAVE FUNCTIONS CRYSTAL MODELS; ELECTRICAL PROPERTIES; ENERGY-LEVEL...
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Mohsen Pourahmadi Division of Statistics, Northern Illinois University and the Department of Statistics, The University of Chicago "Generalized
Statistics Online Computational Resource for Education
Dinov, Ivo D; Christou, Nicolas
2009-01-01T23:59:59.000Z
and assess- ment of the statistic online computationalintroductory probability and statistics courses. Computers &Leslie, M. (2003). Statistics starter kit. Science, © 2009
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Statistics Colloquium Series JONATHAN WEARE sampling methods. The talk will have a computational statistical mechanics flavor but the methods
The University of Chicago Department of Statistics
The University of Chicago Department of Statistics Seminar Series JON MCAULIFFE Department of Statistics University of California, Berkeley "Statistical Methods for Genome Comparison" WEDNESDAY February
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.
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.
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,...
Fractons and Fractal Statistics
Wellington da Cruz
2000-07-31T23:59:59.000Z
Fractons are anyons classified into equivalence classes and they obey a specific fractal statistics. The equivalence classes are labeled by a fractal parameter or Hausdorff dimension $h$. We consider this approach in the context of the Fractional Quantum Hall Effect (FQHE) and the concept of duality between such classes, defined by $\\tilde{h}=3-h$ shows us that the filling factors for which the FQHE were observed just appear into these classes. A connection between equivalence classes $h$ and the modular group for the quantum phase transitions of the FQHE is also obtained. A $\\beta-$function is defined for a complex conductivity which embodies the classes $h$. The thermodynamics is also considered for a gas of fractons $(h,\
Subterranean barriers including at least one weld
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.
Rotor assembly including superconducting magnetic coil
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.
Power generation method including membrane separation
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.
Lecture Notes in Statistical Mechanics and Mesoscopics
Doron Cohen
2012-07-19T23:59:59.000Z
These are the lecture notes for quantum and statistical mechanics courses that are given by DC at Ben-Gurion University. They are complementary to "Lecture Notes in Quantum Mechanics" [arXiv: quant-ph/0605180]. Some additional topics are covered, including: introduction to master equations; non-equilibrium processes; fluctuation theorems; linear response theory; adiabatic transport; the Kubo formalism; and the scattering approach to mesoscopics.
Statistical analysis in multispectral remote sensing
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...
Transportation Energy Data Book: Edition 32
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.
Transportation Energy Data Book: Edition 31
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.
Transportation Energy Data Book: Edition 27
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.