Sample records for module estimates energy

  1. Module: Estimating Historical Emissions from Deforestation | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun Jump to:

  2. Module Handbook Specialisation Biomass Energy

    E-Print Network [OSTI]

    Damm, Werner

    Module Handbook Specialisation Biomass Energy 2nd Semester for the Master Programme REMA/EUREC Course 2008/2009 University of Zaragoza Specialisation Provider: Biomass Energy #12;Specialisation Biomass Energy, University of Zaragoza Modul: Introduction and Basic Concepts

  3. Alternative Energy Sources - An Interdisciplinary Module for...

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

    Alternative Energy Sources - An Interdisciplinary Module for Energy Education Alternative Energy Sources - An Interdisciplinary Module for Energy Education Below is information...

  4. International Energy Module

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

    assumptions regarding technically recoverable oil resources. Inputs to these resource estimates include the USGS World Petroleum Assessment of 2000 and oil reserves...

  5. Energy Efficiency at Home - An Interdisciplinary Module for Energy...

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

    Efficiency at Home - An Interdisciplinary Module for Energy Education Energy Efficiency at Home - An Interdisciplinary Module for Energy Education Below is information about the...

  6. Compact magnetic energy storage module

    DOE Patents [OSTI]

    Prueitt, Melvin L. (Los Alamos, NM)

    1994-01-01T23:59:59.000Z

    A superconducting compact magnetic energy storage module in which a plurality of superconducting toroids, each having a toroidally wound superconducting winding inside a poloidally wound superconducting winding, are stacked so that the flow of electricity in each toroidally wound superconducting winding is in a direction opposite from the direction of electrical flow in other contiguous superconducting toroids. This allows for minimal magnetic pollution outside of the module.

  7. Compact magnetic energy storage module

    DOE Patents [OSTI]

    Prueitt, M.L.

    1994-12-20T23:59:59.000Z

    A superconducting compact magnetic energy storage module in which a plurality of superconducting toroids, each having a toroidally wound superconducting winding inside a poloidally wound superconducting winding, are stacked so that the flow of electricity in each toroidally wound superconducting winding is in a direction opposite from the direction of electrical flow in other contiguous superconducting toroids. This allows for minimal magnetic pollution outside of the module. 4 figures.

  8. Module Handbook Specialisation Wind Energy

    E-Print Network [OSTI]

    Habel, Annegret

    of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines Credit points 8 CP

  9. module 4 | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley Responsible DOE Office: Office of Environmentalmodule 4 module 4

  10. Energy Expenditure Estimation DEMO Application

    E-Print Network [OSTI]

    Lu?trek, Mitja

    and against the SenseWear, a dedicated commercial product for energy expenditure estimation. Keywords: humanEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

  11. Advanced EL inspection with predictive estimation of module power loss

    E-Print Network [OSTI]

    Advanced EL inspection with predictive estimation of module power loss Ralph Schmidt (Dipl.-Ing) pi4_robotics GmbH Berlin #12;Agenda: - Introduction pi4 - The idea: Estimate power loss at an early stage in production - Investigation of single cells with defects - Estimation of Power loss for PV

  12. Differential Turbo Coded Modulation with APP Channel Estimation

    E-Print Network [OSTI]

    Howard, Sheryl

    Differential Turbo Coded Modulation with APP Channel Estimation Sheryl L. Howard and Christian, iterative decoding. I. INTRODUCTION With the advent of turbo codes [1], [2] and iterative de- coding in very high noise/low signal- to-noise ratio (SNR) environments. Turbo trellis coded modulation (TTCM

  13. Estimating Renewable Energy Costs

    Broader source: Energy.gov [DOE]

    Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically...

  14. Approved Module Information for ME3023, 2014/5 Module Title/Name: Energy Efficiency Module Code: ME3023

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    Communications Engineering. BEng Mechanical Engineering Systems. BEng/MEng Mechanical Engineering. BEngApproved Module Information for ME3023, 2014/5 Module Title/Name: Energy Efficiency Module Code: ME3023 School: Engineering and Applied Science Module Type: Standard Module New Module? No Module Credits

  15. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11T23:59:59.000Z

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  16. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E. (Tracy, CA); Johnson, Steve A. (Tracy, CA)

    1994-01-01T23:59:59.000Z

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  17. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-10T23:59:59.000Z

    An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

  18. module 4 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of|Energy 1.xlsEnergyPRESERVE THE KNOWLEDGE BASElynda.comFrom:u r r

  19. Energy use in optical modulators David A. B. Miller

    E-Print Network [OSTI]

    Miller, David A. B.

    Energy use in optical modulators David A. B. Miller Ginzton Laboratory, Stanford University, Nano particularly low energy for low-voltage electroabsorption modulators Optical modulators can offer low energy can usefully define an optical energy launch efficiency E , which is the ratio of the useful energy

  20. Model documentation coal market module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-03-01T23:59:59.000Z

    This report documents the approaches used in developing the Annual Energy Outlook 1995 (AEO95). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of the coal market module`s three submodules. These are the Coal Production Submodule (CPS), the Coal Export Submodule (CES), the Coal Expert Submodule (CES), and the Coal Distribution Submodule (CDS).

  1. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  2. Modules for estimating solid waste from fossil-fuel technologies

    SciTech Connect (OSTI)

    Crowther, M.A.; Thode, H.C. Jr.; Morris, S.C.

    1980-10-01T23:59:59.000Z

    Solid waste has become a subject of increasing concern to energy industries for several reasons. Increasingly stringent air and water pollution regulations result in a larger fraction of residuals in the form of solid wastes. Control technologies, particularly flue gas desulfurization, can multiply the amount of waste. With the renewed emphasis on coal utilization and the likelihood of oil shale development, increased amounts of solid waste will be produced. In the past, solid waste residuals used for environmental assessment have tended only to include total quantities generated. To look at environmental impacts, however, data on the composition of the solid wastes are required. Computer modules for calculating the quantities and composition of solid waste from major fossil fuel technologies were therefore developed and are described in this report. Six modules have been produced covering physical coal cleaning, conventional coal combustion with flue gas desulfurization, atmospheric fluidized-bed combustion, coal gasification using the Lurgi process, coal liquefaction using the SRC-II process, and oil shale retorting. Total quantities of each solid waste stream are computed together with the major components and a number of trace elements and radionuclides.

  3. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  4. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  5. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  6. Approved Module Information for ME4504, 2014/5 Module Title/Name: Renewable Energy Module Code: ME4504

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    energy services. Focussing on solar, wind and wave energy, it offers the student a theoretical basis of solar energy conversion:idealised cycles Solar thermal energy conversion: types of collector, collector turbine Renewable energy system design Renewable Energy Policy: UK and international perspectives Module

  7. WUFI Basement Module | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| DepartmentVolvo Trucksof EnergyWUFI Basement Module

  8. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  9. Model documentation Renewable Fuels Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1996-01-01T23:59:59.000Z

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

  10. Model documentation Coal Market Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1996-04-30T23:59:59.000Z

    This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

  11. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06T23:59:59.000Z

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  12. Energy Policy 30 (2002) 477499 Photovoltaic module quality in

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Energy Policy 30 (2002) 477­499 Photovoltaic module quality in the Kenyan solar home systems market purchases of clean decentralized photovoltaic technologies. Small amorphous-silicon modules dominate. This article analyzes market failure associated with photovoltaic module quality in the Kenyan SHS market

  13. Retrofit Energy Savings Estimation Model Reference Manual

    E-Print Network [OSTI]

    Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

  14. Density Estimation Trees in High Energy Physics

    E-Print Network [OSTI]

    Anderlini, Lucio

    2015-01-01T23:59:59.000Z

    Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

  15. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  16. CYCLOSTATIONARY JOINT PHASE AND TIMING ESTIMATION FOR STAGGERED MODULATIONS

    E-Print Network [OSTI]

    Vázquez, Gregori

    -117, Campus Nord UPC, c/Jordi Girona 1-3, 08034 Barcelona, Spain ABSTRACT This paper presents data streams are not time aligned. In particular, stag- gered modulations usually introduce a delay in the quadrature data stream of half the symbol period, which results in smoother phase transitions that restrict

  17. Assumption to the Annual Energy Outlook 2014 - International Energy Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NAEnergy Module

  18. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-11-09T23:59:59.000Z

    A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

  19. A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES

    E-Print Network [OSTI]

    Idaho, University of

    A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides is particularly relevant in the context of long, open-sea missions: energy consumption. A vehicle operating

  20. Design Considerations for a Universal Smart Energy Module for Energy Harvesting in Wireless

    E-Print Network [OSTI]

    Turau, Volker

    size and type harvester energy modules. Handling this complexity, discussing the problems, and giving]. Their goal is a cheap and easy circuit design for harvesting solar energy and storing it in a rechargeable NiDesign Considerations for a Universal Smart Energy Module for Energy Harvesting in Wireless Sensor

  1. Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum

    E-Print Network [OSTI]

    Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum.wojcicki@gmail.com Abstract In this paper we investigate the enhancement of speech by ap- plying MMSE short-time spectral domain spectral subtraction. Index Terms: speech enhancement, MMSE short-time spectral magnitude

  2. Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator

    E-Print Network [OSTI]

    Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation on the quality of enhanced speech, and find that this method works better with speech uncertainty. Finally we

  3. Integrated Module Heat Exchanger | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe U.S.IndianaofPilot Project | DepartmentandModule Heat

  4. Estimating Energy Savings in Compressed Air Systems

    E-Print Network [OSTI]

    Schmidt, C.; Kissock, J. K.

    2004-01-01T23:59:59.000Z

    are frequently overestimated because the methods used to estimate savings neglect to consider important factors such as compressor control and type, storage, and multiple compressor operation. In this paper, a methodology is presented for modeling air... compressor performance and calculating projected energy savings from easily obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load power or average fraction rated capacity. The methodology...

  5. Electrical and Energy Engineering Energy Information for modules taught in 201112.

    E-Print Network [OSTI]

    Miall, Chris

    Electrical and Energy Engineering Energy Information for modules taught in 201112. All programmes 1) BEng/MEng Electrical + Energy Eng-LC BEng/MEng All modules are compulsory Year Credits: 120 Total Systems0419509 20 1+2EE1A Circuits, Devices and Fields0419502 20 1+2EE1B Introduction to Electrical

  6. SHARP Physics Modules Updated | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l LPROJECTS IN7 Roadmap forDKT.Awards and IncentivesSHARP Physics Modules

  7. Approved Module Information for ME2042, 2014/5 Module Title/Name: Energy Supply and Delivery Module Code: ME2042

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    to assess both technically and financially the potential for renewable energy sources in the UK. The module and sustainability. Ability to analyse and assess energy supply routes, especially efficiency. Ability to demonstrate to undertake background research and produce media briefing report on a given energy topic. Indicative Module

  8. Title of Document: LONGITUDINAL SPACE-CHARGE WAVES INDUCED BY ENERGY MODULATIONS

    E-Print Network [OSTI]

    Anlage, Steven

    ABSTRACT Title of Document: LONGITUDINAL SPACE-CHARGE WAVES INDUCED BY ENERGY MODULATIONS Brian L. Modulations in energy or density can induce space-charge waves at low energies which could be problematic at higher energies. This thesis is a study of longitudinal space-charge waves induced by energy modulations

  9. A Buildings Module for the Stochastic Energy Deployment System

    SciTech Connect (OSTI)

    Lacommare, Kristina S H; Marnay, Chris; Stadler, Michael; Borgeson, Sam; Coffey, Brian; Komiyama, Ryoichi; Lai, Judy

    2008-05-15T23:59:59.000Z

    The U.S. Department of Energy (USDOE) is building a new long-range (to 2050) forecasting model for use in budgetary and management applications called the Stochastic Energy Deployment System (SEDS), which explicitly incorporates uncertainty through its development within the Analytica(R) platform of Lumina Decision Systems. SEDS is designed to be a fast running (a few minutes), user-friendly model that analysts can readily run and modify in its entirety through a visual programming interface. Lawrence Berkeley National Laboratory is responsible for implementing the SEDS Buildings Module. The initial Lite version of the module is complete and integrated with a shared code library for modeling demand-side technology choice developed by the National Renewable Energy Laboratory (NREL) and Lumina. The module covers both commercial and residential buildings at the U.S. national level using an econometric forecast of floorspace requirement and a model of building stock turnover as the basis for forecasting overall demand for building services. Although the module is fundamentally an engineering-economic model with technology adoption decisions based on cost and energy performance characteristics of competing technologies, it differs from standard energy forecasting models by including considerations of passive building systems, interactions between technologies (such as internal heat gains), and on-site power generation.

  10. Smart Integrated Power Module | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage » SearchEnergyDepartmentScoping Study | Department ofAHRISmart 1the

  11. Parameter estimation for energy balance models with memory

    E-Print Network [OSTI]

    Parameter estimation for energy balance models with memory By Lionel Roques1,*, Micka¨el D parameter estimation for one-dimensional energy balance models with mem- ory (EBMMs) given localized estimate is still possible in certain cases. Keywords: age dating; Bayesian inference; energy balance model

  12. Model documentation renewable fuels module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

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

  13. Detailed Course Module Description | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergy DOEDealingVehicle Battery Plant |DepartmentDesk Reference

  14. Integrated Modules for Bioassay (IMBA) | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7 InspectionDepartmentInt'lModules for Bioassay

  15. Estimating the Potential Impact of Renewable Energy on the Caribbean

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Estimating the Potential Impact of Renewable Energy on the Caribbean Job Sector Rebekah Shirley spur the creation of more jobs per unit of energy delivered locally than `business as usual' fossil with its Energy Efficiency (EE) and Renewable Energy (RE) campaign. We present a Green Jobs estimator which

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-01T23:59:59.000Z

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

  17. Solar energy trapping with modulated silicon nanowire photonic crystals Guillaume Demsy and Sajeev John

    E-Print Network [OSTI]

    John, Sajeev

    Solar energy trapping with modulated silicon nanowire photonic crystals Guillaume Demésy and Sajeev://jap.aip.org/about/rights_and_permissions #12;Solar energy trapping with modulated silicon nanowire photonic crystals Guillaume Demesya

  18. Savings Estimates for the ENERGY STAR Voluntary Labeling Program

    E-Print Network [OSTI]

    . This paper presents past and predicted savings for the ENERGY STAR ® labeling program, operated jointly appliances. This report presents savings estimates for a subset of ENERGY STAR program activities, focused primarily on labeled products. We present estimates of the energy, dollar and carbon savings achieved

  19. Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors

    E-Print Network [OSTI]

    LuÂ?trek, Mitja

    to reliably estimate energy expenditure (EE). Direct calorimetry [5] measures the heat produced by human bodyTowards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors Bozidara Cvetkovi´c1 human energy expenditure during sport and normal daily ac- tivities. The paper presents technical

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

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

  1. State energy data report: Consumption estimates, 1960--1987

    SciTech Connect (OSTI)

    Not Available

    1989-04-20T23:59:59.000Z

    The State Energy Data Report presents estimates of annual energy consumption at the state and national levels by major economic sector and by principal energy type for 1960 through 1987. Included in the report are documentation describing how the estimates were made for each energy source, sources of all input data, and a summary of changes from the State Energy Data Report published in April 1988.

  2. General Renewable Energy Technology Module | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, searchGeauga County, Ohio: Energy ResourcesEnergyGeneral Order No.

  3. Model documentation report: Residential sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1995-03-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

  4. ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS

    E-Print Network [OSTI]

    Demand 20142024 Revised Forecast SEPTEMBER 2013 CEC2002013005SD CALIFORNIA ENERGY COMMISSION Edmund are already incorporated in the Energy Commission's current forecast, the California Energy Demand 20142024 and forecast stakeholders through the Demand Analysis Working Group (DAWG). These scenarios varied

  5. Approved Module Information for EC211C, 2014/5 Module Title/Name: Estimation, Measurement & Scheduling Module Code: EC211C

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    practice and scheduling using planning and control tools and techniques to evaluate students? own work & Scheduling Module Code: EC211C School: Engineering and Applied Science Module Type: Standard Module New and practices of construction scheduling; * To develop an understanding of cost and time in construction

  6. Alternative Energy Sources -- An Interdisciplinary Module for Energy Education

    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:YearRound-Up fromDepartment ofEnergy Natural Gas:Austin, T X S9-0s) All27, 2013EducationEnergy

  7. Assumption to the Annual Energy Outlook 2014 - Commercial Demand Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NA NADemand Module

  8. STATEWIDE ENERGY EFFICIENCY POTENTIAL ESTIMATES AND TARGETS

    E-Print Network [OSTI]

    rates of forecasted natural gas consumption, electricity consumption and peak electricity demand potential for electric consumption savings, 85 percent of the economic potential for peak demand savings Energy efficiency, energy savings, demand reduction, electricity consumption, natural gas consumption

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

    SciTech Connect (OSTI)

    NONE

    1995-02-01T23:59:59.000Z

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  10. Model documentation renewable fuels module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

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

  11. Solar axions as an energy source and modulator of the Earth magnetic field

    E-Print Network [OSTI]

    V. D. Rusov; E. P. Linnik; K. Kudela; S. Cht. Mavrodiev; T. N. Zelentsova; V. P. Smolyar; K. K. Merkotan

    2010-08-16T23:59:59.000Z

    We show existence of strong negative correlation between the temporal variations of magnetic field toroidal component of the solar tachocline (the bottom of convective zone) and the Earth magnetic field (Y-component). The possibility that hypothetical solar axions, which can transform into photons in external electric or magnetic fields (the inverse Primakoff effect), can be the instrument by which the magnetic field of convective zone of the Sun modulates the magnetic field of the Earth is considered. We propose the axion mechanism of "solar dynamo-geodynamo" connection, where an energy of axions, which form in the Sun core, is modulated at first by the magnetic field of the solar tachocline zone (due to the inverse coherent Primakoff effect) and after that is absorbed in the liquid core of the Earth under influence of the terrestrial magnetic field, thereby playing the role of an energy source and a modulator of the Earth magnetic field. Within the framework of this mechanism new estimations of the strength of an axion coupling to a photon (ga_gamma about 5*10^-9 GeV^-1) and the axion mass (ma ~ 30 eV) have been obtained.

  12. Energy Efficiency at Home - An Interdisciplinary Module for Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y. |TechnologiesGranteeFellowships

  13. Property:EstimatedTime | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD JumpEstimatedTime

  14. Alternative Energy Sources - An Interdisciplinary Module for Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartment ofEnergy Natural Gas:Austin, T X S9-0s) All27, 2013Education |

  15. Alternative Energy Sources -- An Interdisciplinary Module for Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartment ofEnergy Natural Gas:Austin, T X S9-0s) All27, 2013Education

  16. Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management

    E-Print Network [OSTI]

    Chang, Yu-Han

    Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management Sunil Mamidi energy management software can greatly decrease the energy usage of HVAC systems in many building to improve efficiency. In most buildings, the most advanced examples of this type of system are the motion

  17. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    Estimating Total Energy Consumption and Emissions of China’sof China’s total energy consumption mix. However, accuratelyof China’s total energy consumption, while others estimate

  18. Energy-Efficient Modulation Design for Reliable Communication in Wireless Networks

    E-Print Network [OSTI]

    Gursoy, Mustafa Cenk

    Energy-Efficient Modulation Design for Reliable Communication in Wireless Networks Qing Chen transmit power scenarios. We have noted that variable power schemes can attain higher energy-efficiencies. The analysis of energy-efficient modulation design is also conducted in multi- hop linear networks

  19. Improved Coefficient Calculator for the California Energy Commission 6 Parameter Photovoltaic Module Model

    SciTech Connect (OSTI)

    Dobos, A. P.

    2012-05-01T23:59:59.000Z

    This paper describes an improved algorithm for calculating the six parameters required by the California Energy Commission (CEC) photovoltaic (PV) Calculator module model. Rebate applications in California require results from the CEC PV model, and thus depend on an up-to-date database of module characteristics. Currently, adding new modules to the database requires calculating operational coefficients using a general purpose equation solver - a cumbersome process for the 300+ modules added on average every month. The combination of empirical regressions and heuristic methods presented herein achieve automated convergence for 99.87% of the 5487 modules in the CEC database and greatly enhance the accuracy and efficiency by which new modules can be characterized and approved for use. The added robustness also permits general purpose use of the CEC/6 parameter module model by modelers and system analysts when standard module specifications are known, even if the module does not exist in a preprocessed database.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

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

  1. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14T23:59:59.000Z

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  2. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (bot load)International AssociationServicesforInterproject

  3. CHP Emissions Reduction Estimator | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo FengBoulder, CO)Burundi: EnergyCECG Maine,CHP Emissions

  4. Retrospective Estimation of the Quality of Intensity-Modulated Radiotherapy Plans for Lung Cancer

    E-Print Network [OSTI]

    Koo, Jihye; Chung, Weon Kuu; Kim, Dong Wook

    2015-01-01T23:59:59.000Z

    This study estimated the planning quality of intensity-modulated radiotherapy in 42 lung cancer cases to provide preliminary data for the development of a planning quality assurance algorithm. Organs in or near the thoracic cavity (ipsilateral lung, contralateral lung, heart, liver, esophagus, spinal cord, and bronchus) were selected as organs at risk (OARs). Radiotherapy plans were compared using the conformity index (CI), coverage index (CVI), and homogeneity index (HI) of the planning target volume (PTV), OAR-PTV distance and OAR-PTV overlap volume, and the V10Gy, V20Gy, and equivalent uniform dose (EUD) of the OARs. The CI, CVI, and HI of the PTV were 0.54 - 0.89 , 0.90 - 1.00 , and 0.11 - 0.41, respectively. The mean EUDs (V10Gy, V20Gy) of the ipsilateral lung, contralateral lung, esophagus, cord, liver, heart, and bronchus were 8.07 Gy (28.06, 13.17), 2.59 Gy (6.53, 1.18), 7.02 Gy (26.17, 12.32), 3.56 Gy (13.56, 4.48), 0.72 Gy (2.15, 0.91), 5.14 Gy (19.68, 8.62), and 10.56 Gy (36.08, 19.79), respectivel...

  5. Estimating home energy decision parameters for a hybrid energyYeconomy policy model

    E-Print Network [OSTI]

    home building structures and choosing a space heating and conditioning system. Based on a discreteEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

  6. A database for estimating organ dose for coronary angiography and brain perfusion CT scans for arbitrary spectra and angular tube current modulation

    SciTech Connect (OSTI)

    Rupcich, Franco; Badal, Andreu; Kyprianou, Iacovos; Schmidt, Taly Gilat [Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin 53233 (United States); Division of Imaging and Applied Mathematics (OSEL/CDRH), US Food and Drug Administration, Silver Spring, Maryland 20905 (United States); Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin 53233 (United States)

    2012-09-15T23:59:59.000Z

    Purpose: The purpose of this study was to develop a database for estimating organ dose in a voxelized patient model for coronary angiography and brain perfusion CT acquisitions with any spectra and angular tube current modulation setting. The database enables organ dose estimation for existing and novel acquisition techniques without requiring Monte Carlo simulations. Methods: The study simulated transport of monoenergetic photons between 5 and 150 keV for 1000 projections over 360 Degree-Sign through anthropomorphic voxelized female chest and head (0 Degree-Sign and 30 Degree-Sign tilt) phantoms and standard head and body CTDI dosimetry cylinders. The simulations resulted in tables of normalized dose deposition for several radiosensitive organs quantifying the organ dose per emitted photon for each incident photon energy and projection angle for coronary angiography and brain perfusion acquisitions. The values in a table can be multiplied by an incident spectrum and number of photons at each projection angle and then summed across all energies and angles to estimate total organ dose. Scanner-specific organ dose may be approximated by normalizing the database-estimated organ dose by the database-estimated CTDI{sub vol} and multiplying by a physical CTDI{sub vol} measurement. Two examples are provided demonstrating how to use the tables to estimate relative organ dose. In the first, the change in breast and lung dose during coronary angiography CT scans is calculated for reduced kVp, angular tube current modulation, and partial angle scanning protocols relative to a reference protocol. In the second example, the change in dose to the eye lens is calculated for a brain perfusion CT acquisition in which the gantry is tilted 30 Degree-Sign relative to a nontilted scan. Results: Our database provides tables of normalized dose deposition for several radiosensitive organs irradiated during coronary angiography and brain perfusion CT scans. Validation results indicate total organ doses calculated using our database are within 1% of those calculated using Monte Carlo simulations with the same geometry and scan parameters for all organs except red bone marrow (within 6%), and within 23% of published estimates for different voxelized phantoms. Results from the example of using the database to estimate organ dose for coronary angiography CT acquisitions show 2.1%, 1.1%, and -32% change in breast dose and 2.1%, -0.74%, and 4.7% change in lung dose for reduced kVp, tube current modulated, and partial angle protocols, respectively, relative to the reference protocol. Results show -19.2% difference in dose to eye lens for a tilted scan relative to a nontilted scan. The reported relative changes in organ doses are presented without quantification of image quality and are for the sole purpose of demonstrating the use of the proposed database. Conclusions: The proposed database and calculation method enable the estimation of organ dose for coronary angiography and brain perfusion CT scans utilizing any spectral shape and angular tube current modulation scheme by taking advantage of the precalculated Monte Carlo simulation results. The database can be used in conjunction with image quality studies to develop optimized acquisition techniques and may be particularly beneficial for optimizing dual kVp acquisitions for which numerous kV, mA, and filtration combinations may be investigated.

  7. Estimating Appliance and Home Electronic Energy Use | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department of EnergyEqual

  8. Energy Savings Estimates of Light Emitting Diodes | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -Department oftoThese Web sitesEERECommercial2010EnergyThis report

  9. Modulation and Measurement of Time-Energy Entangled Photons

    E-Print Network [OSTI]

    Chinmay Belthangady; Shengwang Du; Chih-Sung Chuu; G. Y. Yin; S. E. Harris

    2009-06-18T23:59:59.000Z

    We describe a proof-of-principal experiment demonstrating a Fourier technique for measuring the shape of biphoton wavepackets. The technique is based on the use of synchronously driven fast modulators and slow (integrating) detectors.

  10. A Buildings Module for the Stochastic Energy Deployment System

    E-Print Network [OSTI]

    Marnay, Chris

    2008-01-01T23:59:59.000Z

    F.W. Dodge 1991: Building Stock Database Methodology andEnd-Use Flow Maps for the Buildings Sector, D.B. Belzer,N ATIONAL L ABORATORY A Buildings Module for the Stochastic

  11. Dynamical systems in nanophotonics: From energy efficient modulators to light forces and optomechanics

    E-Print Network [OSTI]

    Kaertner, Franz X.

    We demonstrate novel device concepts based on rigorous design of the dynamics of resonant nanophotonic systems, such as dispersionless resonant switches and energy-efficient mo-dulator architectures, slow-light cells, and ...

  12. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  13. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    ABORATORY Estimating Total Energy Consumption and Emissionscomponent of China’s total energy consumption mix. However,about 19% of China’s total energy consumption, while others

  14. Modulation-Aware Energy Balancing in Hierarchical Wireless Sensor Networks1

    E-Print Network [OSTI]

    Pedram, Massoud

    Modulation-Aware Energy Balancing in Hierarchical Wireless Sensor Networks1 Maryam Soltan, Inkwon becoming critical design concerns, a significant amount of research has focused on energy-aware design physical layer characteristics at the system deployment stage and analyzing the effects on spatial energy

  15. COMPRESSED-AIR ENERGY STORAGE SYSTEMS FOR STAND-ALONE OFF-GRID PHOTOVOLTAIC MODULES

    E-Print Network [OSTI]

    Deymier, Pierre

    COMPRESSED-AIR ENERGY STORAGE SYSTEMS FOR STAND-ALONE OFF-GRID PHOTOVOLTAIC MODULES Dominique materials, flywheels, pumped hydro (PH), superconducting magnetic energy storage (SMES) and compressed air-grid alternative to the large-scale compressed air energy storage systems we propose to examine the viability

  16. EK 131/132 module: Introduction to Wind Energy MW 3-5

    E-Print Network [OSTI]

    EK 131/132 module: Introduction to Wind Energy MW 3-5 Course. This course provides an overview of wind turbine technology and energy concepts. The question of whether wind. Students will measure personal energy use and analyze wind turbine data from the Museum of Science's wind

  17. Seasonal Modulation of Eddy Kinetic Energy and Its Formation Mechanism in the Southeast Indian Ocean

    E-Print Network [OSTI]

    Qiu, Bo

    energy and exert profound impacts on large-scale ocean circulations. Satellite altimeter ob- servations- sociations with the large-scale oceanic circulations and the climate. The global eddy kinetic energy (EKESeasonal Modulation of Eddy Kinetic Energy and Its Formation Mechanism in the Southeast Indian

  18. Introduction to Energy Engineering (20 credits) This module is compulsory for students on a degree `XXX and Energy Engineering' and

    E-Print Network [OSTI]

    Miall, Chris

    , involving developing an energy demonstrator within a green field site. In 2008/09 this link was againIntroduction to Energy Engineering (20 credits) This module is compulsory for students on a degree `XXX and Energy Engineering' and available as an option for other engineering students. It introduces

  19. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

    Smith, C A; Johnson, D M; Simon, A J; Belles, R D

    2011-12-12T23:59:59.000Z

    A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

  20. Alternative energy estimation from the shower lateral distribution function

    E-Print Network [OSTI]

    Vitor de Souza; Carlos O. Escobar; Joel Brito; Carola Dobrigkeit; Gustavo Medina-Tanco

    2005-09-16T23:59:59.000Z

    The surface detector technique has been successfully used to detect cosmic ray showers for several decades. Scintillators or Cerenkov water tanks can be used to measure the number of particles and/or the energy density at a given depth in the atmosphere and reconstruct the primary particle properties. It has been shown that the experiment configuration and the resolution in reconstructing the core position determine a distance to the shower axis in which the lateral distribution function (LDF) of particles shows the least variation with respect to different primary particles type, simulation models and specific shapes of the LDF. Therefore, the signal at this distance (600 m for Haverah Park and 1000 m for Auger Observatory) has shown to be a good estimator of the shower energy. Revisiting the above technique, we show that a range of distances to the shower axis, instead of one single point, can be used as estimator of the shower energy. A comparison is done for the Auger Observatory configuration and the new estimator proposed here is shown to be a good and robust alternative to the standard single point procedure.

  1. Broadband energy-efficient optical modulation by hybrid integration of silicon nanophotonics and organic electro-optic polymer

    E-Print Network [OSTI]

    Zhang, Xingyu; Subbaraman, Harish; Luo, Jingdong; Jen, Alex K -Y; Chung, Chi-jui; Yan, Hai; Pan, Zeyu; Nelson, Robert L; Chen, Ray T

    2015-01-01T23:59:59.000Z

    Silicon-organic hybrid integrated devices have emerging applications ranging from high-speed optical interconnects to photonic electromagnetic-field sensors. Silicon slot photonic crystal waveguides (PCWs) filled with electro-optic (EO) polymers combine the slow-light effect in PCWs with the high polarizability of EO polymers, which promises the realization of high-performance optical modulators. In this paper, a broadband, power-efficient, low-dispersion, and compact optical modulator based on an EO polymer filled silicon slot PCW is presented. A small voltage-length product of V{\\pi}*L=0.282Vmm is achieved, corresponding to an unprecedented record-high effective in-device EO coefficient (r33) of 1230pm/V. Assisted by a backside gate voltage, the modulation response up to 50GHz is observed, with a 3-dB bandwidth of 15GHz, and the estimated energy consumption is 94.4fJ/bit at 10Gbit/s. Furthermore, lattice-shifted PCWs are utilized to enhance the optical bandwidth by a factor of ~10X over other modulators bas...

  2. Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest

    SciTech Connect (OSTI)

    Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

    2012-10-01T23:59:59.000Z

    Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.

  3. Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases

    Broader source: Energy.gov [DOE]

    For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type.

  4. Model documentation, Coal Market Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

  5. DEVELOPMENT OF A LOW COST INFERENTIAL NATURAL GAS ENERGY FLOW RATE PROTOTYPE RETROFIT MODULE

    SciTech Connect (OSTI)

    E. Kelner; D. George; T. Morrow; T. Owen; M. Nored; R. Burkey; A. Minachi

    2005-05-01T23:59:59.000Z

    In 1998, Southwest Research Institute began a multi-year project to develop a working prototype instrument module for natural gas energy measurement. The module will be used to retrofit a natural gas custody transfer flow meter for energy measurement, at a cost an order of magnitude lower than a gas chromatograph. Development and evaluation of the prototype energy meter in 2002-2003 included: (1) refinement of the algorithm used to infer properties of the natural gas stream, such as heating value; (2) evaluation of potential sensing technologies for nitrogen content, improvements in carbon dioxide measurements, and improvements in ultrasonic measurement technology and signal processing for improved speed of sound measurements; (3) design, fabrication and testing of a new prototype energy meter module incorporating these algorithm and sensor refinements; and (4) laboratory and field performance tests of the original and modified energy meter modules. Field tests of the original energy meter module have provided results in close agreement with an onsite gas chromatograph. The original algorithm has also been tested at a field site as a stand-alone application using measurements from in situ instruments, and has demonstrated its usefulness as a diagnostic tool. The algorithm has been revised to use measurement technologies existing in the module to measure the gas stream at multiple states and infer nitrogen content. The instrumentation module has also been modified to incorporate recent improvements in CO{sub 2} and sound speed sensing technology. Laboratory testing of the upgraded module has identified additional testing needed to attain the target accuracy in sound speed measurements and heating value.

  6. A Buildings Module for the Stochastic Energy Deployment System

    E-Print Network [OSTI]

    Marnay, Chris

    2008-01-01T23:59:59.000Z

    basis for the Annual Energy Outlook (AEO), and subsequentlyComparisons between the Annual Energy Outlook 2007 (AEO-07),2007a & 2008: Annual Energy Outlook 2007/8: With Projections

  7. A Buildings Module for the Stochastic Energy Deployment System

    E-Print Network [OSTI]

    Marnay, Chris

    2008-01-01T23:59:59.000Z

    Stochastic Energy Deployment System Chris Marnay a , Michael Stadler a, b , SamStochastic Energy Deployment System 1 Chris Marnay a) , Michael Stadler a),b) , Sam

  8. GREET Pretreatment Module

    SciTech Connect (OSTI)

    Adom, Felix K.; Dunn, Jennifer B.; Han, Jeongwoo

    2014-09-01T23:59:59.000Z

    A wide range of biofuels and biochemicals can be produced from biomass via different pretreatment technologies that yield sugars. This report documents the material and energy flows that occur when fermentable sugars from four lignocellulosic feedstocks (corn stover, miscanthus, switchgrass, and poplar) are produced via dilute acid pretreatment and ammonia fiber expansion. These flows are documented for inclusion in the pretreatment module of the Greenhouses Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. Process simulations of each pretreatment technology were developed in Aspen Plus. Material and energy consumption data from Aspen Plus were then compiled in the GREET pretreatment module. The module estimates the cradle-to-gate fossil energy consumption (FEC) and greenhouse gas (GHG) emissions associated with producing fermentable sugars. This report documents the data and methodology used to develop this module and the cradle-to-gate FEC and GHG emissions that result from producing fermentable sugars.

  9. CORONAL MASS EJECTION MASS, ENERGY, AND FORCE ESTIMATES USING STEREO

    SciTech Connect (OSTI)

    Carley, Eoin P.; Gallagher, Peter T. [Astrophysics Research Group, School of Physics, Trinity College Dublin, Dublin 2 (Ireland); McAteer, R. T. James [Department of Astronomy, New Mexico State University, Las Cruces, NM 88003-8001 (United States)

    2012-06-10T23:59:59.000Z

    Understanding coronal mass ejection (CME) energetics and dynamics has been a long-standing problem, and although previous observational estimates have been made, such studies have been hindered by large uncertainties in CME mass. Here, the two vantage points of the Solar Terrestrial Relations Observatory (STEREO) COR1 and COR2 coronagraphs were used to accurately estimate the mass of the 2008 December 12 CME. Acceleration estimates derived from the position of the CME front in three dimensions were combined with the mass estimates to calculate the magnitude of the kinetic energy and driving force at different stages of the CME evolution. The CME asymptotically approaches a mass of 3.4 {+-} 1.0 Multiplication-Sign 10{sup 15} g beyond {approx}10 R{sub Sun }. The kinetic energy shows an initial rise toward 6.3 {+-} 3.7 Multiplication-Sign 10{sup 29} erg at {approx}3 R{sub Sun }, beyond which it rises steadily to 4.2 {+-} 2.5 Multiplication-Sign 10{sup 30} erg at {approx}18 R{sub Sun }. The dynamics are described by an early phase of strong acceleration, dominated by a force of peak magnitude of 3.4 {+-} 2.2 Multiplication-Sign 10{sup 14} N at {approx}3 R{sub Sun }, after which a force of 3.8 {+-} 5.4 Multiplication-Sign 10{sup 13} N takes effect between {approx}7 and 18 R{sub Sun }. These results are consistent with magnetic (Lorentz) forces acting at heliocentric distances of {approx}<7 R{sub Sun }, while solar wind drag forces dominate at larger distances ({approx}>7 R{sub Sun }).

  10. Self-oscillating modulators for direct energy conversion audio power amplifiers

    E-Print Network [OSTI]

    Self-oscillating modulators for direct energy conversion audio power amplifiers Petar Ljusev1, Denmark Correspondence should be addressed to Petar Ljusev (pl@oersted.dtu.dk) ABSTRACT Direct energy conversion audio power amplifier represents total integration of switching-mode power supply and Class D

  11. Capacity estimation and code design principles for continuous phase modulation (CPM)

    E-Print Network [OSTI]

    Ganesan, Aravind

    2004-09-30T23:59:59.000Z

    is represented as Y n = Sn + Zn 1 < n < Ns. The received signal is processed by the demodulator to produce the 12 symbol likelihoods ´(n) = [Prob(Xn = 0);Prob(Xn = 1);:::;Prob(Xn = M ¡ 1)] for each discrete time instant n 2 [1;2;:::;Ns]. The M-ary CPM modulator... the properties of the channel make it easy to find the distribution that maximizes the mutual information. For channels with memory the information theoretic definition of capacity is maximum of limn!1 1N I(XN1 ; Y N1 ) , over all possible distributions...

  12. Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models

    E-Print Network [OSTI]

    Liberzon, Daniel

    Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models@illinois.edu Abstract-- Markov reliability models to estimate Photovoltaic (PV) inverter reliability of the inverters. Keywords-Photovoltaic energy conversion, Markov reliability models, utility-interactive inverters

  13. Software-related Energy Footprint of a Wireless Broadband Module

    E-Print Network [OSTI]

    on the power consumption. This opens up for potential energy savings by creating better ap- plications Keywords 3G, Energy footprint, Power consumption, Wireless broad- band 1. INTRODUCTION The battery lifetime the energy consumption is an essential part of de- veloping new hardware components, it has been a neglected

  14. An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs Sumit modeling technique, domain specific modeling, and a methodology for energy-efficient design of application

  15. A Novel Shifting Balance Theory-based Approach to Optimization of an Energy-Constrained Modulation Scheme for

    E-Print Network [OSTI]

    Arslan, Tughrul

    A Novel Shifting Balance Theory-based Approach to Optimization of an Energy-Constrained Modulation is inspired by Wright's shifting balance theory (SBT) of evolution in population ge- netics. The total energy Abstract-- This paper presents a new approach to optimiza- tion of an energy-constrained modulation scheme

  16. Elmore Model for Energy Estimation in RC Trees Quming Zhou and Kartik Mohanram

    E-Print Network [OSTI]

    Mohanram, Kartik

    Elmore Model for Energy Estimation in RC Trees Quming Zhou and Kartik Mohanram Department This paper presents analysis methods for energy estimation in RC trees driven by time-varying voltage sources]: Design aids--simulation General Terms: Algorithms Keywords: Energy estimation, RC trees, interconnect. 1

  17. LOCAL ENERGY ESTIMATES FOR THE FINITE ELEMENT METHOD ON SHARPLY VARYING GRIDS

    E-Print Network [OSTI]

    Demlow, Alan

    . We present local a priori energy estimates that are valid on shape regular grids, an assumption which subdomains under the assumption that the finite element grid is quasi-uniform. Such local energy estimates element theory. Here we prove local energy error estimates under the assumption that the fi- nite element

  18. LOCAL ENERGY ESTIMATES FOR THE FINITE ELEMENT METHOD ON SHARPLY VARYING GRIDS

    E-Print Network [OSTI]

    Guzmán, Johnny

    . We present local a priori energy estimates that are valid on shape regular grids, an assumption which subdomains under the assumption that the finite element grid is quasi-uniform. Such local energy estimates. Here we prove local energy error estimates under the assumption that the fi- nite element triangulation

  19. Technique for estimating jet fuel prices from energy futures market

    SciTech Connect (OSTI)

    Vineyard, T.A.

    1988-05-01T23:59:59.000Z

    This report presents a statistical analysis of future prices of petroleum products for use in predicting the monthly average retail price of kerosene-type jet fuel. The method of least squares was employed to examine the relationship between kerosene-type jet fuel retail prices and energy futures prices. Regression equations were constructed for four of the petroleum commodities traded on the energy futures market: heating oil No. 2, leaded regular gasoline, crude oil, and unleaded gasoline. Thirty-nine regression equations were estimated by the method of least squares to relate the cash price of kerosene-type jet fuel to the futures prices of the above four petroleum commodities for contract periods of 1 to 12 months. The analysis revealed that 19 of the 39 first-order linear regression equations provided a good fit to the data. Specifically, heating oil No. 2 performed better than the order energy futures in predicting the price of kerosene-type jet fuel. The only information required to use these regression equations are energy futures prices which are available daily from the Wall Street Journal. 5 refs., 4 tabs.

  20. Modulated power filter compensator for a small renewable wind energy.

    E-Print Network [OSTI]

    Almadhi, Bassil

    2015-01-01T23:59:59.000Z

    ??This paper has three sections, the first one is related to wind energy, the second is related to power filters used to mitigate the harmonics,… (more)

  1. Non-data aided digital feedforward timing estimators for linear and nonlinear modulations

    E-Print Network [OSTI]

    Sarvepalli, Pradeep Kiran

    2004-09-30T23:59:59.000Z

    in Rx(1; ). For the square law estimator when there is no aliasing we have [20] ^ = 12 arg n ^ Rx(1; 0) o ; (3.6) Rx(k; ) = 1P Z 1=2 1=2 H(f)H(f + k=P)ej2 (f+k=P) df (3.7) = e j2 k T Z P=2T P=2T Hc(F)Hc(F + k=T)ej2 TF=P dF: 30 Consider... Control. 2 ( T=2;T=2]. (Our model is rather simple and we have not included e ects due to phase o set and multiplicative noise and other such e ects). Symbol timing recovery (STR) involves estimating this delay so that we can sample at the optimal sampling...

  2. ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0

    E-Print Network [OSTI]

    Feeny, Brian

    ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B is outlined, involving a balance of dissipated and supplied energies over a cycle of pe- riodic vibration a damping estimation method based on the balance of energy. The idea is to compute the energy input per

  3. Solid-state energy storage module employing integrated interconnect board

    DOE Patents [OSTI]

    Rouillard, Jean; Comte, Christophe; Daigle, Dominik; Hagen, Ronald A.; Knudson, Orlin B.; Morin, Andre; Ranger, Michel; Ross, Guy; Rouillard, Roger; St-Germain, Philippe; Sudano, Anthony; Turgeon, Thomas A.

    2003-11-04T23:59:59.000Z

    The present invention is directed to an improved electrochemical energy storage device. The electrochemical energy storage device includes a number of solid-state, thin-film electrochemical cells which are selectively interconnected in series or parallel through use of an integrated interconnect board. The interconnect board is typically disposed within a sealed housing which also houses the electrochemical cells, and includes a first contact and a second contact respectively coupled to first and second power terminals of the energy storage device. The interconnect board advantageously provides for selective series or parallel connectivity with the electrochemical cells, irrespective of electrochemical cell position within the housing. Fuses and various electrical and electromechanical devices, such as bypass, equalization, and communication devices for example, may also be mounted to the interconnect board and selectively connected to the electrochemical cells.

  4. RCRA/UST, superfund, and EPCRA hotline training module. Introduction to toxics release inventory: Estimating releases (EPCRA section 313; 40 CFR part 372). Updated as of November 1995

    SciTech Connect (OSTI)

    NONE

    1996-03-01T23:59:59.000Z

    The module provides an overview of general techniques that owners and operators of reporting facilities may use to estimate their toxic chemical releases. It exlains the basic release estimation techniques used to determine the chemical quantities reported on the Form R and uses those techniques, along with fundamental chemical or physical principles and properties, to estimate releases of listed toxic chemicals. It converts units of mass, volume, and time. It states the rules governing significant figures and rounding techniques, and references general and industry-specific estimation documents.

  5. Raising the Bar for Quality PV Modules | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergy 0611__Joint_DOE_GoJ_AMS_Data_v3.pptx More Documents &DOE.F 1325.8CHANGENOTAs photovoltaics

  6. Project Execution Plan Review Module (RM) | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems Engineering Research and Development (PSEEnergy ProgressProject

  7. Standard Review Plan (SRP) Modules | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research |RegulationRenewable EnergySouthwest4, 2010The Standard Contracts Team

  8. Energy Efficient Modulation for a Wireless Network-on-Chip Architecture

    E-Print Network [OSTI]

    Kodi, Avinash

    Energy Efficient Modulation for a Wireless Network-on-Chip Architecture Dominic Di integrated com- putational systems, research into emerging technologies and devices to replace traditional metallic interconnects has become critical. In this paper we propose an initial implementation for a hybrid

  9. CONTROLLED PART-TO-SUBSTRATE MICRO-ASSEMBLY VIA ELECTROCHEMICAL MODULATION OF SURFACE ENERGY

    E-Print Network [OSTI]

    the hydro- phobicity of the binding sites between micro-parts and substrates. Active assembly sites consistCONTROLLED PART-TO-SUBSTRATE MICRO-ASSEMBLY VIA ELECTROCHEMICAL MODULATION OF SURFACE ENERGY-2500, USA ABSTRACT A process designed for repeated parallel micro- assembly has been achieved by controlling

  10. Development of an Outdoor Concentrating Photovoltaic Module Testbed, Module Handling and Testing Procedures, and Initial Energy Production Results

    SciTech Connect (OSTI)

    Muller, M.

    2009-09-01T23:59:59.000Z

    This report addresses the various aspects of setting up a CPV testbed and procedures for handling and testing CPV modules.

  11. Blower upkeep, energy savings estimated at $20,000/yr

    SciTech Connect (OSTI)

    Diehl, R.; Powers, J.

    1987-05-01T23:59:59.000Z

    Vinyl chloride gas must be removed from operating vessels in a polymerization process at Occidental Chemical, Addis, LA. If left intact, the gases can polymerize and form deposits. Considered for this function were reciprocating and liquid ring type compressors. They were rejected, however, because of anticipated high valve maintenance and energy consumption. Since high reliability and leak-free performance are essential, two double-mechanical-sealed, positive displacement blowers were installed with water injection in 1980. The blowers are designed for those special applications where gas leak tightness is required or where continuous, high-pressure or vacuum, single-stage or two-stage is needed. The lobe-type blowers were selected by Occidental because they were considered to be best suited for the low-pressure differential operation. All internal surfaces are specially cleaned to reduce contamination and may be operated with non-hydrocarbon lubricants. A back-up seal on the drive shaft provides protection against leakage of process gas to the atmosphere. Maintenance and energy savings are estimated at $20,000/yr. The blowers were used with the water injection technique because previous experience vinyl chloride monomer indicated that there were major deposits inside the compressors and ring units. The blowers have provided contaminant-free (oil-free) monomer, and the water injection has prevented the polymerization material from sticking to the surfaces of the blowers. This has ensured practically trouble-free operation, and has greatly reduced maintenance and operation downtime, significantly reducing cost.

  12. Solid-state energy storage module employing integrated interconnect board

    DOE Patents [OSTI]

    Rouillard, Jean; Comte, Christophe; Daigle, Dominik; Hagen, Ronald A.; Knudson, Orlin B.; Morin, Andre; Ranger, Michel; Ross, Guy; Rouillard, Roger; St-Germain, Philippe; Sudano, Anthony; Turgeon, Thomas A.

    2004-09-28T23:59:59.000Z

    An electrochemical energy storage device includes a number of solid-state thin-film electrochemical cells which are selectively interconnected in series or parallel through use of an integrated interconnect board. The interconnect board is typically disposed within a sealed housing which also houses the electrochemical cells, and includes a first contact and a second contact respectively coupled to first and second power terminals of the energy storage device. The interconnect board advantageously provides for selective series or parallel connectivity with the electrochemical cells, irrespective of electrochemical cell position within the housing. Fuses and various electrical and electro-mechanical devices, such as bypass, equalization, and communication devices for example, may also be mounted to the interconnect board and selectively connected to the electrochemical cells.

  13. GIZ Sourcebook Module 4e: Intelligent Transport Systems | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Open

  14. GIZ Sourcebook Module 4f: Eco Driving | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Openf: Eco Driving

  15. GIZ Sourcebook Module 5a: Air Quality | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Openf: Eco Drivinga:

  16. Solid-state energy storage module employing integrated interconnect board

    DOE Patents [OSTI]

    Rouillard, Jean (Saint-Luc, CA); Comte, Christophe (Montreal, CA); Daigle, Dominik (St-Hyacinthe, CA); Hagen, Ronald A. (Stillwater, MN); Knudson, Orlin B. (Vadnais Heights, MN); Morin, Andre (Longueuil, CA); Ranger, Michel (Lachine, CA); Ross, Guy (Beloeil, CA); Rouillard, Roger (Beloeil, CA); St-Germain, Philippe (Outremont, CA); Sudano, Anthony (Laval, CA); Turgeon, Thomas A. (Fridley, MN)

    2000-01-01T23:59:59.000Z

    The present invention is directed to an improved electrochemical energy storage device. The electrochemical energy storage device includes a number of solid-state, thin-film electrochemical cells which are selectively interconnected in series or parallel through use of an integrated interconnect board. The interconnect board is typically disposed within a sealed housing which also houses the electrochemical cells, and includes a first contact and a second contact respectively coupled to first and second power terminals of the energy storage device. The interconnect board advantageously provides for selective series or parallel connectivity with the electrochemical cells, irrespective of electrochemical cell position within the housing. In one embodiment, a sheet of conductive material is processed by employing a known milling, stamping, or chemical etching technique to include a connection pattern which provides for flexible and selective interconnecting of individual electrochemical cells within the housing, which may be a hermetically sealed housing. Fuses and various electrical and electro-mechanical devices, such as bypass, equalization, and communication devices for example, may also be mounted to the interconnect board and selectively connected to the electrochemical cells.

  17. Microsoft PowerPoint - FinalModule8.ppt | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecemberInitiatives InitiativesShipping GoalMichaelFinalModule6.pptFinalModule8.ppt

  18. Assumption to the Annual Energy Outlook 2014 - Electricity Market Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NA NADemand

  19. Assumption to the Annual Energy Outlook 2014 - Industrial Demand Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NA

  20. Assumption to the Annual Energy Outlook 2014 - Macroeconomic Activity Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA NAEnergy

  1. Assumption to the Annual Energy Outlook 2014 - Renewable Fuels Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and Gas

  2. Assumption to the Annual Energy Outlook 2014 - Residential Demand Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and GasDemand

  3. Assumption to the Annual Energy Outlook 2014 - Transportation Demand Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and

  4. Assumptions to the Annual Energy Outlook 2014 - Coal Market Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA

  5. Multiple Layer Graphene Optical Modulator - Energy Innovation Portal

    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),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource ProgramModification andinterface1JUNInformationNo. 10-897Advanced

  6. Module: Activity Data for Deforestation | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun Jump to: navigation,InformationModula Spa

  7. Module: Emission Factors for Deforestation | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun Jump to: navigation,InformationModula

  8. Module 5: Fuel Cell Systems | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't32Department of Energy Modular CHP System for Utica

  9. Tunable Surface Plasmon Infrared Modulator - Energy Innovation Portal

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2TopoPortalBRDF

  10. NEMS Freight Transportation Module Improvement Study - Energy Information

    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),Feet) Year Jan Feb Mar Apr MayAtmospheric Opticalhttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate - EventsNEET Benefits

  11. Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states

    E-Print Network [OSTI]

    Sun, Jian

    [1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...

  12. In-Situ Measurement of Crystalline Silicon Modules Undergoing Potential-Induced Degradation in Damp Heat Stress Testing for Estimation of Low-Light Power Performance

    SciTech Connect (OSTI)

    Hacke, P.; Terwilliger, K.; Kurtz, S.

    2013-08-01T23:59:59.000Z

    The extent of potential-induced degradation of crystalline silicon modules in an environmental chamber is estimated using in-situ dark I-V measurements and applying superposition analysis. The dark I-V curves are shown to correctly give the module power performance at 200, 600 and 1,000 W/m2 irradiance conditions, as verified with a solar simulator. The onset of degradation measured in low light in relation to that under one sun irradiance can be clearly seen in the module design examined; the time to 5% relative degradation measured in low light (200 W/m2) was 28% less than that of full sun (1,000 W/m2 irradiance). The power of modules undergoing potential-induced degradation can therefore be characterized in the chamber, facilitating statistical analyses and lifetime forecasting.

  13. Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation

    E-Print Network [OSTI]

    Xing, Eric P.

    Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP, we show that the entropy component of our free energy estimates can useful in distinguishing native

  14. Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation

    E-Print Network [OSTI]

    Langmead, Christopher James

    Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP, we show that the entropy compo- nent of our free energy estimates can be useful in distinguishing

  15. VTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones

    E-Print Network [OSTI]

    Gummadi, Ramakrishna

    for travel time estimation using this sensor data that addresses two key challenges: energy consumptionVTrack: Accurate, Energy-Aware Road Traffic Delay Estimation Using Mobile Phones Arvind Thiagarajan the bat- tery quickly. In these cases, VTrack can use alternative, less energy-hungry but noisier sensors

  16. INVENTORY OF SOLAR RADIATION/SOLAR ENERGY SYSTEMS ESTIMATORS, MODELS, SITE-SPECIFIC DATA, AND PUBLICATIONS

    E-Print Network [OSTI]

    INVENTORY OF SOLAR RADIATION/SOLAR ENERGY SYSTEMS ESTIMATORS, MODELS, SITE-SPECIFIC DATA, and Buildings Systems Integration Center National Renewable Energy Laboratory 8 July 2009 SOLAR SYSTEM POTENTIAL/calculators/PVWATTS/version1/ http://rredc.nrel.gov/solar/calculators/PVWATTS/version2/ Estimates the electrical energy

  17. Energy Planning for Progressive Estimation in Multihop Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi; Hua, Yingbo

    2009-01-01T23:59:59.000Z

    routing tree establishment, transmission energy plan- ninglarge gap of energy between the single-hop tree and therouting tree finding and the transmis- sion energy planning

  18. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting...

    Office of Environmental Management (EM)

    in Niche Lighting Applications Prepared for: Building Technologies Program Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Prepared by: Navigant...

  19. ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01T23:59:59.000Z

    California Energy Commission definition of “heat storm”: “storm“ than the Energy Commission definition quoted above toCalifornia Energy Commission. 2008. Definition of Heat

  20. Microsoft PowerPoint - FinalModule2.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarc MorialMeganFinalModule2.ppt More

  1. Microsoft PowerPoint - FinalModule3.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarc MorialMeganFinalModule2.ppt

  2. Microsoft PowerPoint - FinalModule5.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarcFinalModule5.ppt More Documents &

  3. Microsoft PowerPoint - FinalModule6.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarcFinalModule5.ppt More Documents

  4. Microsoft PowerPoint - FinalModule7.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarcFinalModule5.ppt More

  5. The Smart Grid: An Estimation of the Energy and Carbon Dioxide...

    Open Energy Info (EERE)

    Benefits Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Smart Grid: An Estimation of the Energy and Carbon Dioxide (CO2) Benefits Focus Area: Crosscutting Topics:...

  6. Injection of a Phase Modulated Source into the Z-Beamlet Laser for Increased Energy Extraction.

    SciTech Connect (OSTI)

    Rambo, Patrick K.; Armstrong, Darrell J.; Schwarz, Jens; Smith, Ian C; Shores, Jonathon; Speas, Christopher; Porter, John L.

    2014-11-01T23:59:59.000Z

    The Z-Beamlet laser has been operating at Sandia National Laboratories since 2001 to provide a source of laser-generated x-rays for radiography of events on the Z-Accelerator. Changes in desired operational scope have necessitated the increase in pulse duration and energy available from the laser system. This is enabled via the addition of a phase modulated seed laser as an alternative front-end. The practical aspects of deployment are discussed here.

  7. On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks

    E-Print Network [OSTI]

    Huang, Yi; Hua, Yingbo

    2011-01-01T23:59:59.000Z

    energy and power plan- ning, multihop sensor networks, network with routing tree,with routing tree. Using the exact energy model and takingenergy planning algorithm for a progressive estimation method which exploits routing tree

  8. A tool to estimate materials and manufacturing energy for a product

    E-Print Network [OSTI]

    Duque Ciceri, Natalia

    This study proposes an easy-to-use methodology to estimate the materials embodied energy and manufacturing energy for a product. The tool requires as input the product's Bill of Materials and the knowledge on how these ...

  9. Eigen-Inference for Energy Estimation of Multiple Sources

    E-Print Network [OSTI]

    by overlaying the spectrum licensed to outdoors R. Couillet and M. Debbah are with the Alcatel-Lucent Chair techniques. Index Terms--Statistical inference, random matrix theory, power estimation, cognitive radio, G-estimation. I. INTRODUCTION At a time when radio resources become scarce, the alterna- tive offered by cognitive

  10. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    Office of Environmental Management (EM)

    Pathways to Sustained Energy Development in Oklahoma Oklahoma Tribal Leader Forum - August 2012 Oklahoma City, Oklahoma 1 Office of Indian Energy Goals and Objectives * Promote...

  11. PART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY -

    E-Print Network [OSTI]

    Baica, Malvina

    of the methodology introduced in a section 5.1, which was used to estimate the atmospheric pollution by the fuelPART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY the necessary analysis from the point of view of estimating all the pollution effects in correlation

  12. Estimating material and energy intensities of urban areas

    E-Print Network [OSTI]

    Quinn, David James, Ph. D. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities ...

  13. ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01T23:59:59.000Z

    Change Scenarios and Sea Level Rise Estimates for theThe puzzle of global sea-level rise. ” Physics Today 55 (3):2009. The Impacts of Sea-Level Rise on the California Coast.

  14. Estimating Internal Wave Energy Fluxes in the Ocean JONATHAN D. NASH

    E-Print Network [OSTI]

    Kurapov, Alexander

    Estimating Internal Wave Energy Fluxes in the Ocean JONATHAN D. NASH College of Oceanic FE u p cgE is a fundamental quan- tity in internal wave energetics to identify energy sources, wave propagation, and energy sinks. Internal wave radiation transports energy from the boundaries

  15. An Observational Estimate of Inferred Ocean Energy Divergence KEVIN E. TRENBERTH AND JOHN T. FASULLO

    E-Print Network [OSTI]

    Fasullo, John

    An Observational Estimate of Inferred Ocean Energy Divergence KEVIN E. TRENBERTH AND JOHN T, in final form 25 September 2007) ABSTRACT Monthly net surface energy fluxes (FS) over the oceans ocean energy content" are compared with the directly observed ocean energy content (OE) and tendency

  16. The effect of the geomagnetic field on cosmic ray energy estimates and large scale anisotropy searches on data from the Pierre Auger Observatory

    SciTech Connect (OSTI)

    Abreu, P.; /Lisbon, IST; Aglietta, M.; /IFSI, Turin; Ahn, E.J.; /Fermilab; Albuquerque, I.F.M.; /Sao Paulo U.; Allard, D.; /APC, Paris; Allekotte, I.; /Centro Atomico Bariloche; Allen, J.; /New York U.; Allison, P.; /Ohio State U.; Alvarez Castillo, J.; /Mexico U., ICN; Alvarez-Muniz, J.; /Santiago de Compostela U.; Ambrosio, M.; /Naples U. /INFN, Naples /Nijmegen U., IMAPP; ,

    2011-11-01T23:59:59.000Z

    We present a comprehensive study of the influence of the geomagnetic field on the energy estimation of extensive air showers with a zenith angle smaller than 60{sup o}, detected at the Pierre Auger Observatory. The geomagnetic field induces an azimuthal modulation of the estimated energy of cosmic rays up to the {approx} 2% level at large zenith angles. We present a method to account for this modulation of the reconstructed energy. We analyse the effect of the modulation on large scale anisotropy searches in the arrival direction distributions of cosmic rays. At a given energy, the geomagnetic effect is shown to induce a pseudo-dipolar pattern at the percent level in the declination distribution that needs to be accounted for. In this work, we have identified and quantified a systematic uncertainty affecting the energy determination of cosmic rays detected by the surface detector array of the Pierre Auger Observatory. This systematic uncertainty, induced by the influence of the geomagnetic field on the shower development, has a strength which depends on both the zenith and the azimuthal angles. Consequently, we have shown that it induces distortions of the estimated cosmic ray event rate at a given energy at the percent level in both the azimuthal and the declination distributions, the latter of which mimics an almost dipolar pattern. We have also shown that the induced distortions are already at the level of the statistical uncertainties for a number of events N {approx_equal} 32 000 (we note that the full Auger surface detector array collects about 6500 events per year with energies above 3 EeV). Accounting for these effects is thus essential with regard to the correct interpretation of large scale anisotropy measurements taking explicitly profit from the declination distribution.

  17. Thermal to Electrical Energy Conversion of Skutterudite-Based Thermoelectric Modules

    SciTech Connect (OSTI)

    Salvador, James R. [GM R& D and Planning, Warren, Michigan; Cho, Jung Y [GM R& D and Planning, Warren, Michigan; Ye, Zuxin [GM Research and Development Center; Moczygemba, Joshua E. [Marlow Industries, Inc; Thompson, Alan [Marlow Industries, Inc; Sharp, Jeff W. [Marlow Industries, Inc; Konig, Jan [Fraunhofer-Institute, Freiburg, Germany; Maloney, Ryan [Michigan State University; Thompson, Travis [Michigan State University; Sakamoto, Jeff [Michigan State University; Wang, Hsin [ORNL; Wereszczak, Andrew A [ORNL; Meisner, G P [General Motors Corporation-R& D

    2013-01-01T23:59:59.000Z

    The performance of thermoelectric (TE) materials has improved tremendously over the past decade. The intrinsic thermal and electrical properties of state-of-the-art TE materials demonstrate that the potential for widespread practical TE applications is very large and includes TE generators (TEGs) for automotive waste heat recovery. TE materials for automotive TEG applications must have good intrinsic performance, be thermomechanically compatible, and be chemically stable in the 400 K to 850 K temperature range. Both n-type and p-type varieties must be available at low cost, easily fabricated, and durable. They must also form robust junctions and develop good interfaces with other materials to permit efficient flows of electrical and thermal energy. Among the TE materials of interest for automotive waste heat recovery systems are the skutterudite compounds, which are the antimony-based transition-metal compounds RTE4Sb12, where R can be an alkali metal (e.g., Na, K), alkaline earth (e.g., Ba), or rare earth (e.g., La, Ce, Yb), and TE can be a transition metal (e.g., Co, Fe). We synthesized a considerable quantity of n-type and p-type skutterudites, fabricated TE modules, incorporated these modules into a prototype TEG, and tested the TEG on a production General Motors (GM) vehicle. We discuss our progress on skutterudite TE module fabrication and present module performance data for electrical power output under simulated operating conditions for automotive waste heat recovery systems. We also present preliminary durability results on our skutterudite modules.

  18. Amplitude and phase modulation of time-energy entangled two-photon states

    E-Print Network [OSTI]

    F. Zäh; M. Halder; T. Feurer

    2009-01-22T23:59:59.000Z

    We experimentally demonstrate amplitude and phase modulation of a time-energy entangled two-photon wave function. The entangled photons are produced by spontaneous parametric down-conversion, spectrally dispersed in an prism compressor, modulated in amplitude and/or phase, and detected in coincidence by sum-frequency generation. First, we present a Fourier optical analysis of the optical setup yielding an analytic expression for the resulting field distribution at the exit plane of the shaping apparatus. We then introduce amplitude and/or phase shaping and present results which can only be obtained through a combination of the two. Specifically, we use a shaper-based interferometer to measure the two-photon interference of an almost bandwidth-limited two-photon wave function.

  19. Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use

    SciTech Connect (OSTI)

    Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei

    2012-01-01T23:59:59.000Z

    This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.

  20. NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    to all electric units having rated cooling capacities less than 19 kW (65,000 Btu/h) and charged with Refrigerant 22. To estimate the EER(95) of one or more combinations that use the same condensing unit, a lab

  1. ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL

    E-Print Network [OSTI]

    SIMON FRASER UNIVERSITY Fall, 2007 All rights reserved. This work may not be reproduced in whole, and editing · Vicky Weekes for editing, balance, and all around back-up · Many other REMmers and EMRGers Council, the Canadian Institute of Energy, the Energy and Materials Research Group, and Simon Fraser

  2. Data-driven Techniques to Estimate Parameters in the Homogenized Energy Model for Shape Memory Alloys

    E-Print Network [OSTI]

    , ferroelectric, and ferromagnetic materials. The energy origin of the model was originally investigated for SMA]. The original mod- els determined the equilibrium phase using the Gibbs energy to predict the mesoscopic (orData-driven Techniques to Estimate Parameters in the Homogenized Energy Model for Shape Memory

  3. CONTEXT-BASED ENERGY ESTIMATOR: APPLICATION TO OBJECT SEGMENTATION ON THE TREE OF SHAPES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    CONTEXT-BASED ENERGY ESTIMATOR: APPLICATION TO OBJECT SEGMENTATION ON THE TREE OF SHAPES Yongchao. A classical approach is to define an energy minimization framework, where interesting contours correspond to local minima of this energy. Active contours, graph cuts or minimum ratio cuts are instances of such ap

  4. Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics

    E-Print Network [OSTI]

    Sun, Sean

    Equilibrium free energy estimates based on nonequilibrium work relations and extended dynamics the equilibrium free energy and the nonequilibrium work is useful for computer simulations. In this paper, we exploit the fact that the free energy is a state function, independent of the pathway taken to change

  5. Free Energy Estimates of All-atom Protein Structures Using Generalized Belief

    E-Print Network [OSTI]

    Langmead, Christopher James

    Free Energy Estimates of All-atom Protein Structures Using Generalized Belief Propagation H Detection, Free Energy, Probabilistic Graphical Models #12;Abstract We present a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP). The accuracy and utility

  6. Improved estimates of the total correlation energy in the ground state of the water molecule

    E-Print Network [OSTI]

    Anderson, James B.

    Improved estimates of the total correlation energy in the ground state of the water molecule Arne National Laboratory, Richland, Washington 99352 Received 1 October 1996; accepted 5 February 1997 Two new calculations of the electronic energy of the ground state of the water molecule yield energies lower than those

  7. Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and

    E-Print Network [OSTI]

    Luhua, Lai

    on the assumption that the overall solvation free energy is the sum of all atomic solvation contributions: Gs iAi (1Estimating Protein­Ligand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and Solvation Free Energy Calculation Jianfeng Pei,1,2 Qi Wang,1,2 Jiaju Zhou,3 and Luhua Lai1

  8. A Process Algebraic Framework for Estimating the Energy Consumption in Ad-hoc Wireless Sensor Networks

    E-Print Network [OSTI]

    Rossi, Sabina

    A Process Algebraic Framework for Estimating the Energy Consumption in Ad-hoc Wireless Sensor their connecti- vity properties and their performances in terms of energy consumption, throughput and other and the evaluation or esti- mation of energy consumption in ad-hoc WSNs. The frame- work is based on a variant

  9. Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids

    E-Print Network [OSTI]

    Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

  10. QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED

    E-Print Network [OSTI]

    QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED J.-M. BARBAROUX for the hydrogen ground state energy in the Pauli-Fierz model up to the order O(5 log -1), where denotes). As a consequence, we prove that the ground state energy is not a real analytic function of , and verify

  11. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  12. Electrical power inverter having a phase modulated, twin-inverter, high frequency link and an energy storage module

    DOE Patents [OSTI]

    Pitel, I.J.

    1987-02-03T23:59:59.000Z

    The present invention provides an electrical power inverter method and apparatus, which includes a high frequency link, for converting DC power into AC power. Generally stated, the apparatus includes a first high frequency module which produces an AC voltage at a first output frequency, and a second high frequency inverter module which produces an AC voltage at a second output frequency that is substantially the same as the first output frequency. The second AC voltage is out of phase with the first AC voltage by a selected angular phase displacement. A mixer mixes the first and second output voltages to produce a high frequency carrier which has a selected base frequency impressed on the sidebands thereof. A rectifier rectifies the carrier, and a filter filters the rectified carrier. An output inverter inverts the filtered carrier to produce an AC line voltage at the selected base frequency. A phase modulator adjusts the relative angular phase displacement between the outputs of the first and second high frequency modules to control the base frequency and magnitude of the AC line voltage. 19 figs.

  13. Electrical power inverter having a phase modulated, twin-inverter, high frequency link and an energy storage module

    DOE Patents [OSTI]

    Pitel, Ira J. (Whippany, NJ)

    1987-02-03T23:59:59.000Z

    The present invention provides an electrical power inverter method and apparatus, which includes a high frequency link, for converting DC power into AC power. Generally stated, the apparatus includes a first high frequency module which produces an AC voltage at a first output frequency, and a second high frequency inverter module which produces an AC voltage at a second output frequency that is substantially the same as the first output frequency. The second AC voltage is out of phase with the first AC voltage by a selected angular phase displacement. A mixer mixes the first and second output voltages to produce a high frequency carrier which has a selected base frequency impressed on the sidebands thereof. A rectifier rectifies the carrier, and a filter filters the rectified carrier. An output inverter inverts the filtered carrier to produce an AC line voltage at the selected base frequency. A phase modulator adjusts the relative angular phase displacement between the outputs of the first and second high frequency modules to control the base frequency and magnitude of the AC line voltage.

  14. Free energy differences : Representations, estimators, and sampling strategies 

    E-Print Network [OSTI]

    Acharya, Arjun R

    In this thesis we examine methodologies for determining free energy differences (FEDs) of phases via Monte Carlo simulation. We identify and address three generic issues that arise in FED calculations; the choice of representation, the choice...

  15. How to Estimate Energy Lost to Gravitational Waves (revised)

    E-Print Network [OSTI]

    Adam D. Helfer

    1993-07-19T23:59:59.000Z

    The energy--momentum radiated in gravitational waves by an isolated source is given by a formula of Bondi. This formula is highly non--local: the energy--momentum is not given as the integral of a well--defined local density. It has therefore been unclear whether the Bondi formula can be used to get information from gravity--wave measurements. In this note, we obtain, from local knowledge of the radiation field, a lower bound on the Bondi flux.

  16. Procedure for estimating fracture energy from fracture surface roughness

    DOE Patents [OSTI]

    Williford, Ralph E. (Kennewick, WA)

    1989-01-01T23:59:59.000Z

    The fracture energy of a material is determined by first measuring the length of a profile of a section through a fractured surface of the material taken on a plane perpendicular to the mean plane of that surface, then determining the fractal dimensionality of the surface. From this, the yield strength of the material, and the Young's Modulus of that material, the fracture energy is calculated.

  17. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD Jump to:

  18. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD Jump

  19. Property:EstimatedTimeExplained | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD

  20. Property:EstimatedTimeHigh | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSDEstimatedTimeHigh

  1. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, searchEstimatedTimeMedian Jump to: navigation, search

  2. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  3. WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING

    E-Print Network [OSTI]

    Gilbes, Fernando

    WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING Eric. W Management of water resources relies on estimates of the hydrologic water balance within defined and/or similar land use. Components of the water balance include precipitation, actual

  4. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    SciTech Connect (OSTI)

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    2014-06-12T23:59:59.000Z

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  5. Estimating the energy of stitching together the Maxwell and Fermi neutron spectra

    SciTech Connect (OSTI)

    Ionov, V. S., E-mail: ivs2010@vver.kiae.ru; Marin, S. V. [National Research Center Kurchatov Institute (Russian Federation)

    2014-12-15T23:59:59.000Z

    The energy of stitching together the Maxwell and Fermi spectra is estimated on the basis of experimental data and the results of calculations carried out using the MCU-RFFI and MCU-5 codes.

  6. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to Sustained Energy

  7. Estimating the Benefits and Costs of Distributed Energy Technologies

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power SystemsResources DOEElectricalonJustice EnvironmentalDISTRIBUTIO FROM: DAE Y. CHUNGWorkshop

  8. State Energy Profiles and Estimates (SEDS) Report Archives

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease ScheduleU.S. Energy Information

  9. ESTIMATING ENERGY SAVINGS IN COMPRESSED AIR SYSTEMS Chris Schmidt

    E-Print Network [OSTI]

    Kissock, Kelly

    obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load performance and calculating projected energy savings using four of the five following performance metrics: full-load power (FLP), no-load power (NLP), rated capacity (FLC), fraction full-load power (FP

  10. Beam energy distribution influences on density modulation efficiency in seeded free-electron lasers

    E-Print Network [OSTI]

    Wang, Guanglei; Deng, Haixiao; Zhang, Weiqing; Wu, Guorong; Dai, Dongxu; Wang, Dong; Zhao, Zhentang; Yang, Xueming

    2015-01-01T23:59:59.000Z

    The beam energy spread at the entrance of undulator system is of paramount importance for efficient density modulation in high-gain seeded free-electron lasers (FELs). In this paper, the dependences of high harmonic micro-bunching in the high-gain harmonic generation (HGHG), echo-enabled harmonic generation (EEHG) and phase-merging enhanced harmonic generation (PEHG) schemes on the electron energy spread distribution are studied. Theoretical investigations and multi-dimensional numerical simulations are applied to the cases of uniform and saddle beam energy distributions and compared to a traditional Gaussian distribution. It shows that the uniform and saddle electron energy distributions significantly enhance the performance of HGHG-FELs, while they almost have no influence on EEHG and PEHG schemes. A numerical example demonstrates that, with about 84keV RMS uniform and/or saddle slice energy spread, the 30th harmonic radiation can be directly generated by a single-stage seeding scheme for a soft x-ray FEL f...

  11. Estimation of Several Political Action Effects of Energy Prices

    E-Print Network [OSTI]

    Whitford, Andrew B

    2015-01-01T23:59:59.000Z

    One important effect of price shocks in the United States has been increased political attention paid to the structure and performance of oil and natural gas markets, along with some governmental support for energy conservation. This paper describes how price changes helped lead the emergence of a political agenda accompanied by several interventions, as revealed through Granger causality tests on change in the legislative agenda.

  12. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  13. GAO Cost Estimating and Assessment Guide | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S.FinancialofFuel CycleDepartmentG. BrianCost

  14. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to Sustained

  15. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to SustainedFinancing

  16. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to

  17. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2 Project

  18. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2 Project3:

  19. Indian Country Solar Energy Potential Estimates & DOE IE Updates

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2

  20. Table C3. Primary Energy Consumption Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.

  1. Table E10. Residential Sector Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.

  2. Table E11. Commercial Sector Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.

  3. Table E13. Transportation Sector Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.3.

  4. Table E14. Electric Power Sector Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary

  5. Table E3. Residential Sector Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.

  6. Table E4. Commercial Sector Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.

  7. Table E5. Industrial Sector Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.

  8. Table E6. Transportation Sector Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.

  9. Table E7. Electric Power Sector Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.E7.

  10. U.S. Uranium Reserves Estimates - Energy Information Administration

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear Jan Feb2009 2010 2011DecadeLower 48all

  11. Battery Life Estimation (BLE) and Data Analysis - Energy Innovation Portal

    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),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High the cover:Battery Boost ORNL

  12. Estimating Motor Efficiency in the Field | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt | Department

  13. Estimating the Benefits and Costs of Distributed Energy Technologies

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt |

  14. Estimating the Benefits and Costs of Distributed Energy Technologies

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt |Workshop - Day

  15. Estimated Rare Earth Reserves and Deposits | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review:Department of Energy Environmental RestorationErik Hyrkas AboutOfficer

  16. State Energy Data System Consumption Estimates Technical Notes

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael Schaal Director, Oil and10: "TheElectricity

  17. Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data0 0 0 00/03)%Year

  18. EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data03. U.S. uraniumForms

  19. Estimates of State Energy-Related Carbon Dioxide Emissions

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96Nebraska NuclearDecade2003 DetailedUse inRevenueMay

  20. Master thesis Solar Energy Meteorology Comparison of different methods to estimate cloud height for solar

    E-Print Network [OSTI]

    Peinke, Joachim

    Master thesis ­ Solar Energy Meteorology Comparison of different methods to estimate cloud height: · Interest in meteorology and solar energy · Experiences with data handling and analysis · Good programming for solar irradiance calculations In order to derive incoming solar irradiance at the earths surface

  1. Optical Flow Estimation using Laplacian Mesh Energy Wenbin Li Darren Cosker Matthew Brown Rui Tang

    E-Print Network [OSTI]

    Martin, Ralph R.

    Optical Flow Estimation using Laplacian Mesh Energy Wenbin Li Darren Cosker Matthew Brown Rui Tang.p.cosker,m.brown,r.tang}@bath.ac.uk Abstract In this paper we present a novel non-rigid optical flow algorithm for dense image correspondence and non-rigid registration. The algorithm uses a unique Laplacian Mesh Energy term to encourage local

  2. Modulator considerations for beam chopping in the low energy beam transport at the SSC Laboratory

    SciTech Connect (OSTI)

    Anderson, D.; Pappas, G.

    1991-06-01T23:59:59.000Z

    Beam chopping in the low energy transport line at the Superconducting Super Collider Laboratory is accomplished using an electrostatic deflection system. LINAC requirements dictate the design of two modulators operating at 10 Hz with rise and fall times (as measured from approximately 10--99%) of {approximately}100 ns. Design of the first pulser, normally at 10 kV and pulsed to ground potential, utilizes a transformer-coupled diode-clamped solid state circuit to achieve the 2--35 {mu}s pulse width range required. The second pulser, which pulses from ground to approximately 7 kV, relies on a series vacuum tube circuit. The current designs, as well as recent test results and other circuit topologies considered, will be presented. 6 refs.

  3. ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE

    SciTech Connect (OSTI)

    Sathaye, Jayant; Dale, Larry; Larsen, Peter; Fitts, Gary; Koy, Kevin; Lewis, Sarah; Lucena, Andre

    2011-06-22T23:59:59.000Z

    This report outlines the results of a study of the impact of climate change on the energy infrastructure of California and the San Francisco Bay region, including impacts on power plant generation; transmission line and substation capacity during heat spells; wildfires near transmission lines; sea level encroachment upon power plants, substations, and natural gas facilities; and peak electrical demand. Some end-of-century impacts were projected:Expected warming will decrease gas-fired generator efficiency. The maximum statewide coincident loss is projected at 10.3 gigawatts (with current power plant infrastructure and population), an increase of 6.2 percent over current temperature-induced losses. By the end of the century, electricity demand for almost all summer days is expected to exceed the current ninetieth percentile per-capita peak load. As much as 21 percent growth is expected in ninetieth percentile peak demand (per-capita, exclusive of population growth). When generator losses are included in the demand, the ninetieth percentile peaks may increase up to 25 percent. As the climate warms, California's peak supply capacity will need to grow faster than the population.Substation capacity is projected to decrease an average of 2.7 percent. A 5C (9F) air temperature increase (the average increase predicted for hot days in August) will diminish the capacity of a fully-loaded transmission line by an average of 7.5 percent.The potential exposure of transmission lines to wildfire is expected to increase with time. We have identified some lines whose probability of exposure to fire are expected to increase by as much as 40 percent. Up to 25 coastal power plants and 86 substations are at risk of flooding (or partial flooding) due to sea level rise.

  4. 2003 status report savings estimates for the energy star(R)voluntary labeling program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla

    2004-11-09T23:59:59.000Z

    ENERGY STAR(R) is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR program activities, focused primarily on labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2002, what we expect in 2003, and provide savings forecasts for two market penetration scenarios for the period 2003 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

  5. 2002 status report: Savings estimates for the ENERGY STAR(R) voluntary labeling program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla; Koomey, Jonathan

    2003-03-03T23:59:59.000Z

    ENERGY STAR [registered trademark] is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR program activities, focused primarily on labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2001, what we expect in 2002, and provide savings forecasts for two market penetration scenarios for the period 2002 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

  6. 2007 Status Report: Savings Estimates for the ENERGY STAR(R)VoluntaryLabeling Program

    SciTech Connect (OSTI)

    Sanchez, Marla; Webber, Carrie A.; Brown, Richard E.; Homan,Gregory K.

    2007-03-23T23:59:59.000Z

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), ENERGY STAR labels exist for more thanthirty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2006, whatwe expect in 2007, and provide savings forecasts for two marketpenetration scenarios for the periods 2007 to 2015 and 2007 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  7. 2004 status report: Savings estimates for the Energy Star(R)voluntarylabeling program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla

    2004-03-09T23:59:59.000Z

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), ENERGY STAR labels exist for more thanthirty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2003, whatwe expect in 2004, and provide savings forecasts for two marketpenetration scenarios for the periods 2004 to 2010 and 2004 to 2020. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  8. 2006 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling Program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan,Gregory K.

    2006-03-07T23:59:59.000Z

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), ENERGY STAR labels exist for more thanthirty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2005, whatwe expect in 2006, and provide savings forecasts for two marketpenetration scenarios for the periods 2006 to 2015 and 2006 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  9. 2005 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling Program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla

    2006-03-07T23:59:59.000Z

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), Energy Star labels exist for more thanforty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2004, whatwe expect in 2005, and provide savings forecasts for two marketpenetration scenarios for the periods 2005 to 2010 and 2005 to 2020. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  10. Modulational instability of two pairs of counter-propagating waves and energy exchange in two-component media

    E-Print Network [OSTI]

    Modulational instability of two pairs of counter-propagating waves and energy exchange in two-propagating waves in two-component media is considered within the framework of two generally nonintegrable coupled Sine-Gordon equations. We consider the dynamics of weakly nonlinear wave packets, and using

  11. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    SciTech Connect (OSTI)

    Fridley, David; Fridley, David G.; Zheng, Nina; Zhou, Nan

    2008-03-01T23:59:59.000Z

    Buildings represent an increasingly important component of China's total energy consumption mix. However, accurately assessing the total volume of energy consumed in buildings is difficult owing to deficiencies in China's statistical collection system and a lack of national surveys. Official statistics suggest that buildings account for about 19% of China's total energy consumption, while others estimate the proportion at 23%, rising to 30% over the next few years. In addition to operational energy, buildings embody the energy used in the in the mining, extraction, harvesting, processing, manufacturing and transport of building materials as well as the energy used in the construction and decommissioning of buildings. This embodied energy, along with a building's operational energy, constitutes the building's life-cycle energy and emissions footprint. This report first provides a review of international studies on commercial building life-cycle energy use from which data are derived to develop an assessment of Chinese commercial building life-cycle energy use, then examines in detail two cases for the development of office building operational energy consumption to 2020. Finally, the energy and emissions implications of the two cases are presented.

  12. An Estimate of the Thermodynamic Pressure in High-Energy Collisions

    E-Print Network [OSTI]

    Tawfik, Abdel Nasser

    2015-01-01T23:59:59.000Z

    We introduce a novel approach to estimate the thermodynamic pressure from heavy-ion collisions based on recently measured higher-order moments of particle multiplicities by the STAR experiment. We start with fitting the experimental results in the most-central collisions. Then, we integrate them back to lower ones. For example, we find that the first-order moment, the mean multiplicity, is exactly reproduced from the integral of variance, the second-order moment. Therefore, the zero-order moment, the thermodynamic pressure, can be estimated from the integral of the mean multiplicity. the possible comparison between such a kind of pressure (deduced from the integral of particle multiplicity) and the lattice pressure and the relating of Bjorken energy density to the lattice energy density are depending on lattice QCD at finite baryon chemical potential and first-principle estimation of the formation time of the quark-gluon plasma (QGP).

  13. Extragalactic Water Masers, Geometric Estimation of H_o and Characterization of Dark Energy

    E-Print Network [OSTI]

    L. J. Greenhill

    2004-09-10T23:59:59.000Z

    High precision estimation of the equation of state of dark energy depends on constraints external to analyses of Cosmic Microwave Background fluctuations. A geometric estimation of the local expansion rate, H_o, would provide the most direct and robust constraint. Traditional techniques to estimate H_o have depended on observations of standard candles for which systematic effects can be 10% or more. Observations of water maser sources in the accretion disks that feed the central engines of active galaxies enable simplified, robust, and largely geometric analyses. Many thousand maser sources will be discovered in studies with the SKA, owing to its great sensitivity. Spectroscopic monitoring and interferometric mapping - with intercontinental baselines - will allow estimation of H_o to 1% and possibly better.

  14. Extragalactic Water Masers, Geometric Estimation of H_o and Characterization of Dark Energy

    E-Print Network [OSTI]

    Greenhill, L J

    2004-01-01T23:59:59.000Z

    High precision estimation of the equation of state of dark energy depends on constraints external to analyses of Cosmic Microwave Background fluctuations. A geometric estimation of the local expansion rate, H_o, would provide the most direct and robust constraint. Traditional techniques to estimate H_o have depended on observations of standard candles for which systematic effects can be 10% or more. Observations of water maser sources in the accretion disks that feed the central engines of active galaxies enable simplified, robust, and largely geometric analyses. Many thousand maser sources will be discovered in studies with the SKA, owing to its great sensitivity. Spectroscopic monitoring and interferometric mapping - with intercontinental baselines - will allow estimation of H_o to 1% and possibly better.

  15. Overview of the PV Module Model in PVWatts (Presentation)

    SciTech Connect (OSTI)

    Marion, B.

    2010-09-22T23:59:59.000Z

    Overview of the PV module model. PVWatts module power estimates were compared with those using the Sandia model for three modules and data sets.

  16. Program Potential: Estimates of Federal Energy Cost Savings from Energy Efficient Procurement

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01T23:59:59.000Z

    Freezers Commercial Steam Cookers b EnergyStar EnergyStarFreezers Com Steam Cookers Water-Cooled Ice Machines Pre-Printer Commercial Steam Cookers Commercial Central Air 

  17. Semiclassical Estimates of Electromagnetic Casimir Self-Energies of Spherical and Cylindrical Metallic Shells

    E-Print Network [OSTI]

    Martin Schaden

    2010-06-16T23:59:59.000Z

    The leading semiclassical estimates of the electromagnetic Casimir stresses on a spherical and a cylindrical metallic shell are within 1% of the field theoretical values. The electromagnetic Casimir energy for both geometries is given by two decoupled massless scalars that satisfy conformally covariant boundary conditions. Surface contributions vanish for smooth metallic boundaries and the finite electromagnetic Casimir energy in leading semiclassical approximation is due to quadratic fluctuations about periodic rays in the interior of the cavity only. Semiclassically the non-vanishing Casimir energy of a metallic cylindrical shell is almost entirely due to Fresnel diffraction.

  18. Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Karjee, Jyotirmoy

    2011-01-01T23:59:59.000Z

    The main objective of this paper is to reduce the number of sensor nodes by estimating a trade off between data accuracy and energy consumption for selecting nodes in probabilistic approach in distributed networks. Design Procedure/Approach: Observed data are highly correlated among sensor nodes in the spatial domain due to deployment of high density of sensor nodes. These sensor nodes form non-overlapping distributed clusters due to high data correlation among them. We develop a probabilistic model for each distributed cluster to perform data accuracy and energy consumption model in the network. Finally we find a trade off between data accuracy and energy consumption model to select an optimal number of sensor nodes in each distributed cluster. We also compare the performance for our data accuracy estimation model with information accuracy model for each distributed cluster in the network. Practical Implementation: Measuring temperature in physical environment and measuring moisture content in agricultural f...

  19. Analysis of shower size as estimator of extensive air shower energy

    E-Print Network [OSTI]

    Vitor de Souza; Jeferson A. Ortiz; Gustavo Medina-Tanco; Federico Sanchez

    2005-09-16T23:59:59.000Z

    The fluorescence technique has been successfully used to detect ultrahigh energy cosmic rays by indirect measurements. The underlying idea is that the number of charged particles in the atmospheric shower, i.e, its longitudinal profile, can be extracted from the amount of emitted nitrogen fluorescence light. However the influence of shower fluctuations and the very possible presence of different nuclear species in the primary cosmic ray spectrum make the estimate of the shower energy from the fluorescence data analysis a difficult task. We investigate the potential of shower size at maximum depth as estimator of shower energy. The detection of the fluorescence light is simulated in detail and the reconstruction biases are carefully analyzed. We extend our calculations to both Auger and EUSO experiments. This kind of approach is of particular interest for showers that are not fully contained inside the field of view of the detector.

  20. An Estimate of Energy Use in Laboratories, Cleanrooms, and Data Centers in New York

    SciTech Connect (OSTI)

    Mathew, Paul

    2008-10-01T23:59:59.000Z

    Laboratories, cleanrooms and data centers are very energy-intensive. For example, laboratories are typically three to eight times as energy intensive as a typical office building, and a data center may be as much as 20-50 times as energy intensive as a typical office building. This technical note presents an estimate of the total energy use in laboratories, cleanrooms and data centers in New York. There is generally very limited data on energy use in the high tech sector, both at the national and state level. Since it was beyond the scope of this project to develop primary data through surveys, the analysis relied primarily on the use of proxy indicators and extrapolation from national data where available. The results for each building type are summarized below in table E-1 and figure E-1.

  1. Program Potential: Estimates of Federal Energy Cost Savings from Energy Efficient Procurement

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01T23:59:59.000Z

    Water Heaters ..Table 7: Annual energy and cost savings of water heaters (Boilers Commercial Water Heater See Appendix F for

  2. Estimation of Saturation of Permanent-Magnet Synchronous Motors Through an Energy-Based Model

    E-Print Network [OSTI]

    Jebai, AlKassem; Martin, Philippe; Rouchon, Pierre

    2011-01-01T23:59:59.000Z

    We propose a parametric model of the saturated Permanent-Magnet Synchronous Motor (PMSM) together with an estimation method of the magnetic parameters. The model is based on an energy function which simply encompasses the saturation effects. Injection of fast-varying pulsating voltages and measurements of the resulting current ripples then permit to identify the magnetic parameters by linear least squares. Experimental results on a surface-mounted PMSM and an interoir magnet PMSM illustrate the relevance of the approach.

  3. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2012-04-01T23:59:59.000Z

    Geopressured geothermal reservoirs are characterized by high temperatures and high pressures with correspondingly large quantities of dissolved methane. Due to these characteristics, the reservoirs provide two sources of energy: chemical energy from the recovered methane, and thermal energy from the recovered fluid at temperatures high enough to operate a binary power plant for electricity production. Formations with the greatest potential for recoverable energy are located in the gulf coastal region of Texas and Louisiana where significantly overpressured and hot formations are abundant. This study estimates the total recoverable onshore geopressured geothermal resource for identified sites in Texas and Louisiana. In this study a geopressured geothermal resource is defined as a brine reservoir with fluid temperature greater than 212 degrees F and a pressure gradient greater than 0.7 psi/ft.

  4. Modulation of Root Microbiome Community Assembly by the Plant Immune Response (2013 DOE JGI Genomics of Energy and Environment 8th Annual User Meeting)

    SciTech Connect (OSTI)

    Lebeis, Sarah [University of North Carolina

    2013-03-01T23:59:59.000Z

    Sarah Lebeis of University of North Carolina on "Modulation of root microbiome community assembly by the plant immune response" at the 8th Annual Genomics of Energy & Environment Meeting on March 28, 2013 in Walnut Creek, Calif.

  5. Scintillation counter and wire chamber front end modules for high energy physics experiments

    SciTech Connect (OSTI)

    Baldin, Boris; DalMonte, Lou; /Fermilab

    2011-01-01T23:59:59.000Z

    This document describes two front-end modules developed for the proposed MIPP upgrade (P-960) experiment at Fermilab. The scintillation counter module was developed for the Plastic Ball detector time and charge measurements. The module has eight LEMO 00 input connectors terminated with 50 ohms and accepts negative photomultiplier signals in the range 0.25...1000 pC with the maximum input voltage of 4.0 V. Each input has a passive splitter with integration and differentiation times of {approx}20 ns. The integrated portion of the signal is digitized at 26.55 MHz by Analog Devices AD9229 12-bit pipelined 4-channel ADC. The differentiated signal is discriminated for time measurement and sent to one of the four TMC304 inputs. The 4-channel TMC304 chip allows high precision time measurement of rising and falling edges with {approx}100 ps resolution and has internal digital pipeline. The ADC data is also pipelined which allows deadtime-less operation with trigger decision times of {approx}4 {micro}s. The wire chamber module was developed for MIPP EMCal detector charge measurements. The 32-channel digitizer accepts differential analog signals from four 8-channel integrating wire amplifiers. The connection between wire amplifier and digitizer is provided via 26-wire twist-n-flat cable. The wire amplifier integrates input wire current and has sensitivity of 275 mV/pC and the noise level of {approx}0.013 pC. The digitizer uses the same 12-bit AD9229 ADC chip as the scintillator counter module. The wire amplifier has a built-in test pulser with a mask register to provide testing of the individual channels. Both modules are implemented as a 6Ux220 mm VME size board with 48-pin power connector. A custom europack (VME) 21-slot crate is developed for housing these front-end modules.

  6. Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry

    SciTech Connect (OSTI)

    Love, Lonnie J [ORNL

    2012-12-01T23:59:59.000Z

    The objective of this report is to estimate the impact (energy, emissions and economics) of United Fluid power (hydraulic and pneumatic actuation) is the generation, control, and application of pumped or compressed fluids when this power is used to provide force and motion to mechanisms. This form of mechanical power is an integral part of United States (U.S.) manufacturing and transportation. In 2008, according to the U.S. Census Bureau, sales of fluid power components exceeded $17.7B, sales of systems using fluid power exceeded $226B. As large as the industry is, it has had little fundamental research that could lead to improved efficiency since the late 1960s (prior to the 1970 energy crisis). While there have been some attempts to replace fluid powered components with electric systems, its performance and rugged operating condition limit the impact of simple part replacement. Oak Ridge National Laboratory and the National Fluid Power Association (NFPA) collaborated with 31 industrial partners to collect and consolidate energy specific measurements (consumption, emissions, efficiency) of deployed fluid power systems. The objective of this study was to establish a rudimentary order of magnitude estimate of the energy consumed by fluid powered systems. The analysis conducted in this study shows that fluid powered systems consumed between 2.0 and 2.9 Quadrillion (1015) Btus (Quads) of energy per year; producing between 310 and 380 million metric tons (MMT) of Carbon Dioxide (CO2). In terms of efficiency, the study indicates that, across all industries, fluid power system efficiencies range from less than 9% to as high as 60% (depending upon the application), with an average efficiency of 22%. A review of case studies shows that there are many opportunities to impact energy savings in both the manufacturing and transportation sectors by the development and deployment of energy efficient fluid power components and systems.

  7. Outdoor PV Module Degradation of Current-Voltage Parameters: Preprint

    SciTech Connect (OSTI)

    Smith, R. M.; Jordan, D. C.; Kurtz, S. R.

    2012-04-01T23:59:59.000Z

    Photovoltaic (PV) module degradation rate analysis quantifies the loss of PV power output over time and is useful for estimating the impact of degradation on the cost of energy. An understanding of the degradation of all current-voltage (I-V) parameters helps to determine the cause of the degradation and also gives useful information for the design of the system. This study reports on data collected from 12 distinct mono- and poly-crystalline modules deployed at the National Renewable Energy Laboratory (NREL) in Golden, Colorado. Most modules investigated showed < 0.5%/year decrease in maximum power due to short-circuit current decline.

  8. The Smart Grid: An Estimation of the Energy and CO2 Benefits

    SciTech Connect (OSTI)

    Pratt, Robert G.; Balducci, Patrick J.; Gerkensmeyer, Clint; Katipamula, Srinivas; Kintner-Meyer, Michael CW; Sanquist, Thomas F.; Schneider, Kevin P.; Secrest, Thomas J.

    2010-01-15T23:59:59.000Z

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

  9. The Smart Grid: An Estimation of the Energy and CO2 Benefits

    SciTech Connect (OSTI)

    Pratt, Robert G.; Balducci, Patrick J.; Gerkensmeyer, Clint; Katipamula, Srinivas; Kintner-Meyer, Michael CW; Sanquist, Thomas F.; Schneider, Kevin P.; Secrest, Thomas J.

    2010-01-27T23:59:59.000Z

    This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

  10. Cost and energy consumption estimates for the aluminum-air battery anode fuel cycle

    SciTech Connect (OSTI)

    Humphreys, K.K.; Brown, D.R.

    1990-01-01T23:59:59.000Z

    At the request of DOE's Office of Energy Storage and Distribution (OESD), Pacific Northwest Laboratory (PNL) conducted a study to generate estimates of the energy use and costs associated with the aluminum anode fuel cycle of the aluminum-air (Al-air) battery. The results of this analysis indicate that the cost and energy consumption characteristics of the mechanically rechargeable Al-air battery system are not as attractive as some other electrically rechargeable electric vehicle battery systems being developed by OESD. However, there are distinct advantages to mechanically rechargeable batteries, which may make the Al-air battery (or other mechanically rechargeable batteries) attractive for other uses, such as stand-alone applications. Fuel cells, such as the proton exchange membrane (PEM), and advanced secondary batteries may be better suited to electric vehicle applications. 26 refs., 3 figs., 25 tabs.

  11. Table E8. Primary Energy, Electricity, and Total Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table

  12. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation), NREL (National Renewable Energy Laboratory)

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite--FOR IMMEDIATE RELEASEEmissions ofESTIMATE OF

  13. Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data

    E-Print Network [OSTI]

    Gille, Sarah T.

    Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data the contribution from the anticyclonic frequencies dominate the wind energy input. The latitudinal and seasonal variations of the wind energy input to the Ekman layer are closely related to the variations of the wind

  14. This paper introduces a methodology for estimation of energy consumption in peripherals such as audio and video devices.

    E-Print Network [OSTI]

    Simunic, Tajana

    ABSTRACT This paper introduces a methodology for estimation of energy consumption in peripherals such as audio and video devices. Peripherals can be responsible for significant amount of the energy consumption in current embedded systems. We introduce a cycle- accurate energy simulator and profiler capable

  15. Understanding the Temperature and Humidity Environment Inside a PV Module (Presentation), NREL (National Renewable Energy Laboratory)

    Broader source: Energy.gov [DOE]

    This PowerPoint presentation was originally given by Michael Kempe of NREL in February 2013 detailing a project funded by the SunShot Initiative. Understanding the Temperature and Humidity Environment Inside a PV Module aims to show that by choosing humidity conditions that more closely match the use environment, one can minimize the uncertainty associated with moisture induced degradation modes.

  16. Model documentation coal market module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-02-01T23:59:59.000Z

    This report documents the objectives and the conceptual and methodological approach used in the development of the Coal Production Submodule (CPS). It provides a description of the CPS for model analysts and the public. The Coal Market Module provides annual forecasts of prices, production, and consumption of coal.

  17. EFFECTIVE EFFICIENCY AND PERFORMANCE RATIO AS ENERGY RATING SYSTEM FOR PV MODULES Marko Topic1

    E-Print Network [OSTI]

    Sites, James R.

    conditions (STC) with one-sun irradiance (G0 = 1 kW/m2 , AM1.5 spectrum) and cell temperature (Tj) of 25 º irradiance, ambient temperature, and solar- incidence-angle distributions at the installation site daylight ambient temperature. Five PV modules are evaluated by both approaches in Ljubljana for different

  18. Remainder estimates for the Long Range Behavior of the van der Waals interaction energy

    E-Print Network [OSTI]

    Ioannis Anapolitanos

    2014-10-21T23:59:59.000Z

    The van der Waals-London's law, for a collection of atoms at large separation, states that their interaction energy is pairwise attractive and decays proportionally to one over their distance to the sixth. The first rigorous result in this direction was obtained by Lieb and Thirring [LT], by proving an upper bound which confirms this law. Recently the van der Waals-London's law was proven under some assumptions by I.M. Sigal and the author [AS]. Following the strategy of [AS] and reworking the approach appropriately, we prove estimates on the remainder of the interaction energy. Furthermore, using an appropriate test function, we prove an upper bound for the interaction energy, which is sharp to leading order. For the upper bound, our assumptions are weaker, the remainder estimates stronger and the proof is simpler. The upper bound, for the cases it applies, improves considerably the upper bound of Lieb and Thirring. However, their bound is much more general. Here we consider only spinless Fermions.

  19. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor U.S.6:6.

  20. Table C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor

  1. Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:

  2. Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

    to the difference between the total energy entering and leaving the system. That is, CV entering leaving air cond sol occ E C H E E E Q Q Q Q Q E E ? ? ? ? ? ? ? ? ? ? (1) where Qair, Qcond, Qsol, Qocc, and QE are building heat load components from air... is defined as (Shao, 2006): BL E C H E C H air cond sol occ E Q E E fE E E Q Q Q Q ? ? ? ? ? ? ? ? ? ? ? (2) where EE is the metered whole-building non-cooling electricity use. The multiplicative factor f represents a fraction of EE which...

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

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC'sFigure ES1.

  4. Estimation of 6 groups of effective delayed neutron fraction based on continuous energy Monte Carlo method

    SciTech Connect (OSTI)

    Nauchi, Y.; Kameyama, T. [Central Research Inst., Electric Power Industry, 2-11-1 Iwado-Kita, Komae-shi, Tokyo 201-8511 (Japan)

    2006-07-01T23:59:59.000Z

    New method is proposed to estimate effective fraction of delayed neutrons radiated from precursors categorized into 6 groups of decay constant. Instead of adjoint flux {Phi}*, an expected number of fission neutrons in next generations, M, is applied as a weight function [1]. Introduction of M enables us to calculate the fraction based on continuous energy Monte Carlo method. For the calculation of the fraction, an algorithm is established and implemented into the MCNP-5 code. The method is verified using reactor period data obtained in reactivity measurements. (authors)

  5. Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States

    SciTech Connect (OSTI)

    Green, B. D.; Nix, R. G.

    2006-11-01T23:59:59.000Z

    On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

  6. Estimates of the Global Indirect Energy-Use Emission Impacts of USA Biofuel Policy

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL

    2012-01-01T23:59:59.000Z

    This paper evaluates the indirect energy-use emission implications of increases in the use of biofuels in the USA between 2001 and 2010 as mandates within a dynamic global computable general equilibrium model. The study incorporates explicit markets for biofuels, petroleum and other fossil fuels, and accounts for interactions among all sectors of an 18-region global economy. It considers bilateral trade, as well as the dynamics of capital allocation and investment. Simulation results show that the biofuel mandates in the USA generate an overall reduction in global energy use and emissions over the simulation period from 2001 to 2030. Consequently, the indirect energy-use emission change or emission leakage under the mandate is negative. That is, global emission reductions are larger than the direct emission savings from replacing petroleum with biofuels under the USA RFS2 over the last decade. Under our principal scenario this enhanced the direct emission reduction from biofuels by about 66%. The global change in lifecycle energy-use emissions for this scenario was estimated to be about 93 million tons of CO2e in 2010, 45 million tons of CO2e in 2020, and an increase of 5 million tons of CO2e in 2030, relative to the baseline scenario. Sensitivity results of six alternative scenarios provided additional insights into the pattern of the regional and global effects of biofuel mandates on energy-use emissions.

  7. Efficient estimation of energy transfer efficiency in light-harvesting complexes

    E-Print Network [OSTI]

    Alireza Shabani; Masoud Mohseni; Herschel Rabitz; Seth Lloyd

    2012-04-13T23:59:59.000Z

    The fundamental physical mechanisms of energy transfer in photosynthetic complexes is not yet fully understood. In particular, the degree of efficiency or sensitivity of these systems for energy transfer is not known given their non-perturbative and non-Markovian interactions with proteins backbone and surrounding photonic and phononic environments. One major problem in studying light-harvesting complexes has been the lack of an efficient method for simulation of their dynamics in biological environments. To this end, here we revisit the second-order time-convolution (TC2) master equation and examine its reliability beyond extreme Markovian and perturbative limits. In particular, we present a derivation of TC2 without making the usual weak system-bath coupling assumption. Using this equation, we explore the long time behaviour of exciton dynamics of Fenna-Matthews-Olson (FMO) protein complex. Moreover, we introduce a constructive error analysis to estimate the accuracy of TC2 equation in calculating energy transfer efficiency, exhibiting reliable performance for environments with weak and intermediate memory and strength. Furthermore, we numerically show that energy transfer efficiency is optimal and robust for the FMO protein complex of green sulphur bacteria with respect to variations in reorganization energy and bath correlation time-scales.

  8. Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans-Alaska Pipeline that is consumed in pumping.

    E-Print Network [OSTI]

    Nimmo, Francis

    Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans m). So we can toss this out. Now estimate the energy content of gasoline: Many of you tried figuring

  9. Using the fracture energies for the two films a first estimate of fracture toughness, K, can be found.

    E-Print Network [OSTI]

    Collins, Gary S.

    · Using the fracture energies for the two films a first estimate of fracture toughness, K, can be found. · Assumptions are made to estimate the crack area based on the fracture mode seen in the SEM. · The total crack length is assumed to be 3 times the contact radius, , at the fracture depth. · To find

  10. 2003 status report savings estimates for the energy star(R) voluntary labeling program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla

    2004-01-01T23:59:59.000Z

    of Energy, 2000. Annual Energy Outlook 2001 with Projectionsof Energy, 1999. Annual Energy Outlook 2000 with ProjectionsEnergy, 1996a. Annual Energy Outlook 1996 with Projections

  11. 2006 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan, Gregory K.

    2006-01-01T23:59:59.000Z

    Energy, 1998b. Annual Energy Outlook 1999 with Projectionsof Energy, 1999. Annual Energy Outlook 2000 with Projectionsof Energy, 2000. Annual Energy Outlook 2001 with Projections

  12. Estimates of Energy Cost Savings Achieved from 2009 IECC Code-Compliant, Single Family Residences in Texas

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J. C.; Haberl, J.

    The annual energy cost savings were estimated with $0.11/kWh for electricity and $0.84/therm (Climate Zone 2) and $0.64/therm (Climate Zone 3 and 4) for natural gas. 2009 IECC Cost Savings Report, p.ii January 2011 Energy Systems Laboratory, Texas A...). 3.2 Annual Total Energy Cost Similar trends were observed in the annual energy costs estimated with $0.11/kWh for electricity and $0.84/therm (Climate Zone 2) and $0.64/therm (Climate Zone 3 and 4) for natural gas. Across the counties, the 2001...

  13. Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

    2012-09-01T23:59:59.000Z

    Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

  14. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation)

    SciTech Connect (OSTI)

    Porro, C.; Augustine, C.

    2012-04-01T23:59:59.000Z

    This study estimates the magnitude of geothermal energy from fifteen major known US sedimentary basins and ranks these basins relative to their potential. Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties are known. This reduces exploration risk and allows development of geologic exploration models for each basin as well as a relative assessment of geologic risk elements for each play. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by Muffler (USGS). Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient Information were gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data was insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission websites. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size and temperature distribution, and to qualitatively assess reservoir productivity.

  15. Heterogeneous Modulation for Trading-off Energy Balancing with Bandwidth Efficiency in Hierarchical Sensor Networks

    E-Print Network [OSTI]

    Pedram, Massoud

    research has focused on energy efficient design in different levels of network protocol stack, much less

  16. Accurate Component Model Based Optimal Control for Energy Storage Systems in Households with Photovoltaic Modules

    E-Print Network [OSTI]

    Pedram, Massoud

    a particularly interesting problem with the introduction of dynamic electricity energy pricing models since, comprised of both the energy price component and the demand price component. Due to the characteristics of the realistic electricity price function and the energy storage capacity limitation, the residential storage

  17. Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations

    E-Print Network [OSTI]

    Konopacki, S.J.

    2010-01-01T23:59:59.000Z

    4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use

  18. Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model

    E-Print Network [OSTI]

    Martin, Timothy

    using Advanced Very High Res- olution Radiometer Lai data, Climate Research Unit climate dataGlobal estimation of evapotranspiration using a leaf area index-based surface energy and water-relative-humidity-based two-source (ARTS) E model that simulates the surface energy balance, soil water balance

  19. Estimation of Absolute Free Energies of Hydration using Continuum Methods: Accuracy of Partial Charge Models and Optimization of Nonpolar Contributions

    E-Print Network [OSTI]

    Rizzo, Robert C.

    Estimation of Absolute Free Energies of Hydration using Continuum Methods: Accuracy of Partial, and Irwin D. Kuntz Supporting Information Table S1. Experimental Free Energies of Hydration (Ghyd) in kcal,2-dimethylcyclohexane 1.58 36 trans-1,4-dimethylcyclohexane 2.11 37 ethene 1.28 38 propene 1.32 39 but-1-ene 1.38 40

  20. Capital requirements for the transportation of energy materials: 1979 arc estimates

    SciTech Connect (OSTI)

    Not Available

    1980-08-29T23:59:59.000Z

    Summaries of transportation investment requirements through 1990 are given for the low, medium and high scenarios. Total investment requirements for the three modes and the three energy commodities can accumulate to a $46.3 to $47.0 billion range depending on the scenario. The high price of oil, following the evidence of the last year, is projected to hold demand for oil below the recent past. Despite the overall decrease in traffic some investment in crude oil and LPG pipelines is necessary to reach new sources of supply. Although natural gas production and consumption is projected to decline through 1990, new investments in carrying capacity also are required due to locational shifts in supply. The Alaska Natural Gas Transportation System is the dominant investment for energy transportation in the next ten years. This year's report focuses attention on waterborne coal transportation to the northeast states in keeping with a return to significant coal consumption projected for this area. A resumption of such shipments will require a completely new fleet. The investment estimates given in this report identify capital required to transport projected energy supplies to market. The requirement is strategic in the sense that other reasonable alternatives do not exist or that a shared load of new growth can be expected. Not analyzed or forecasted are investments in transportation facilities made in response to local conditions. The total investment figures, therefore, represent a minimum necessary capital improvement to respond to changes in interregional supply conditions.

  1. Estimates of energy consumption by building type and end use at U.S. Army installations

    SciTech Connect (OSTI)

    Konopacki, S.J.; Akbari, H.

    1996-08-01T23:59:59.000Z

    This report discusses the use of LBNL`s End-use Disaggregation Alogrithm (EDA) to 12 US Army installations nationwide in order to obtain annual estimates of electricity use for all major building types and end uses. The building types include barrack, dining hall, gymnasium, administration, vehicle maintenance, hospital, residential, warehouse, and misc. Up to 8 electric end uses for each type were considered: space cooling, ventilation (air handling units, fans, chilled and hot water pumps), cooking, misc./plugs, refrigeration, exterior and interior lighting, and process loads. Through building simulations, we also obtained estimates of natural gas space heating energy use. Average electricity use for these 12 installations and Fort Hood are: HVAC, misc., and indoor lighting end uses consumed the most electricity (28, 27, and 26% of total[3.8, 3.5, and 3.3 kWh/ft{sup 2}]). Refrigeration, street lighting, exterior lighting, and cooking consumed 7, 7, 3, and 2% of total (0.9, 0.9, 0.4, and 0.3 kWh/ft{sup 2})

  2. Spectral Energy Distributions and Age Estimates of 78 Star Clusters in M33

    E-Print Network [OSTI]

    Ma, J; Chen, J; Wu, H; Jiang, Z; Xue, S; Zhu, J; Ma, Jun; Zhou, Xu; Chen, Jiansheng; Wu, Hong; Jiang, Zhaoji; Xue, Suijian; Zhu, Jin

    2002-01-01T23:59:59.000Z

    In this third paper of our series, we present CCD spectrophotometry of 78 star clusters that were detected by Chandar, Bianchi, & Ford in the nearby spiral galaxy M33. CCD images of M33 were obtained as a part of the BATC Color Survey of the sky in 13 intermediate-band filters from 3800 to 10000{\\AA}. By aperture photometry, we obtain the spectral energy distributions of these 78 star clusters. As Chandar, Bianchi, & Ford did, we estimate the ages of our sample clusters by comparing the photometry of each object with theoretical stellar population synthesis models for different values of metallicity. We find that the sample clusters formed continuously in M33 from $\\sim 3\\times10^6$ -- $10^{10}$ years. This conclusion is consistent with Chandar, Bianchi, & Ford. The results also show that, there are two peaks in cluster formation, at $\\sim 8\\times10^6$ and $\\sim 10^9$ years in these clusters.

  3. Characterization of HVAC operation uncertainty in EnergyPlus AHU modules.

    E-Print Network [OSTI]

    Sui, Di

    2014-01-01T23:59:59.000Z

    ??This study addresses 5 uncertainties that exist in the operation of HVAC systems, which will presumably affect the actual energy consumption of the HVAC system… (more)

  4. 2005 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla

    2006-01-01T23:59:59.000Z

    Energy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with ProjectionsEnergy, 1997b. Annual Energy Outlook 1998 with Projections

  5. 2004 status report: Savings estimates for the Energy Star(R) voluntarylabeling program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla

    2004-01-01T23:59:59.000Z

    Energy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with ProjectionsEnergy, 1998b. Annual Energy Outlook 1999 with Projections

  6. 2002 status report: Savings estimates for the ENERGY STAR(R) voluntary labeling program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; McWhinney, Marla; Koomey, Jonathan

    2003-01-01T23:59:59.000Z

    Energy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with ProjectionsEnergy, 1997b. Annual Energy Outlook 1998 with Projections

  7. 2007 Status Report: Savings Estimates for the ENERGY STAR(R) VoluntaryLabeling Program

    E-Print Network [OSTI]

    Sanchez, Marla; Webber, Carrie A.; Brown, Richard E.; Homan, Gregory K.

    2007-01-01T23:59:59.000Z

    Energy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with ProjectionsEnergy, 1997b. Annual Energy Outlook 1998 with Projections

  8. Savings estimates for the ENERGY STAR (registered trademark) voluntary labeling program: 2001 status report

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Mahajan, Akshay; Koomey, Jonathan G.

    2002-01-01T23:59:59.000Z

    of Energy, 1999. Annual Energy Outlook 2000 with ProjectionsEnergy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with Projections

  9. On Energy Harvesting Module for Scalable Cognitive Autonomous Nondestructive Sensing Network (SCANSn

    E-Print Network [OSTI]

    Ha, Dong S.

    of the solar panel, the TEG continues to supply power to the battery charger. Since the output voltages for the TEG due to substantially lower power compared with the solar panel. The system design and measured that the SCANSn system can be powered by the energy harvested from solar and thermal. Keywords: energy harvesting

  10. Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01T23:59:59.000Z

    This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

  11. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    18 Figure 6 Primary Energy Consumption by End-Use in24 Figure 7 Primary Energy Consumption by Fuel in Commercialbased on total primary energy consumption (source energy),

  12. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    material intensity, energy intensity of materials, buildingtype’s manufacturing energy intensity (how much energy itthe manufacturing energy intensity of each type of building

  13. Nonlocal Modulation of Entangled Photons

    E-Print Network [OSTI]

    S. E. Harris

    2008-08-06T23:59:59.000Z

    We consider ramifications of the use of high speed light modulators to questions of correlation and measurement of time-energy entangled photons. Using phase modulators, we find that temporal modulation of one photon of an entangled pair, as measured by correlation in the frequency domain, may be negated or enhanced by modulation of the second photon. Using amplitude modulators we describe a Fourier technique for measurement of biphoton wave functions with slow detectors.

  14. DOE Order Self Study Modules - DOE O 442.1 Department of energy Employee Concerns Program

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomenthe HouseStudents2.2at MultipleorderNuclearThis fact sheet providesAssets42.1

  15. Microsoft PowerPoint - FinalModule1.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarc MorialMegan

  16. Microsoft PowerPoint - FinalModule4.ppt | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartment ofJared Temanson -ofMarc

  17. A multilevel energy buffer and voltage modulator for grid-interfaced micro-inverters

    E-Print Network [OSTI]

    Chen, Minjie

    Micro-inverters operating into the single-phase grid from solar photovoltaic (PV) panels or other low-voltage sources must buffer the twice-line-frequency variations between the energy sourced by the PV panel and that ...

  18. A Multilevel Energy Buffer and Voltage Modulator for Grid-Interfaced Microinverters

    E-Print Network [OSTI]

    Chen, Minjie

    Microinverters operating into the single-phase grid from solar photovoltaic (PV) panels or other low-voltage sources must buffer the twice-line-frequency variations between the energy sourced by the PV panel and that ...

  19. GIZ Sourcebook Module 4c: Two and Three Wheelers | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Open EnergyOpenTwo

  20. GIZ Sourcebook Module 4d: Natural Gas Vehicles | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Open EnergyOpenTwod:

  1. GIZ Sourcebook Module 5g: Urban Transport and Health | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump|EnergyInformation

  2. Climate Science for a Sustainable Energy Future Atmospheric Radiation Measurement Best Estimate (CSSEFARMBE)

    SciTech Connect (OSTI)

    Riihimaki, Laura D.; Gaustad, Krista L.; McFarlane, Sally A.

    2012-09-28T23:59:59.000Z

    The Climate Science for a Sustainable Energy Future (CSSEF) project is working to improve the representation of the hydrological cycle in global climate models, critical information necessary for decision-makers to respond appropriately to predictions of future climate. In order to accomplish this objective, CSSEF is building testbeds to implement uncertainty quantification (UQ) techniques to objectively calibrate and diagnose climate model parameterizations and predictions with respect to local, process-scale observations. In order to quantify the agreement between models and observations accurately, uncertainty estimates on these observations are needed. The DOE Atmospheric Radiation Measurement (ARM) program takes atmospheric and climate related measurements at three permanent locations worldwide. The ARM VAP called the ARM Best Estimate (ARMBE) [Xie et al., 2010] collects a subset of ARM observations, performs quality control checks, averages them to one hour temporal resolution, and puts them in a standard format for ease of use by climate modelers. ARMBE has been widely used by the climate modeling community as a summary product of many of the ARM observations. However, the ARMBE product does not include uncertainty estimates on the data values. Thus, to meet the objectives of the CSSEF project and enable better use of this data with UQ techniques, we created the CSSEFARMBE data set. Only a subset of the variables contained in ARMBE is included in CSSEFARMBE. Currently only surface meteorological observations are included, though this may be expanded to include other variables in the future. The CSSEFARMBE VAP is produced for all extended facilities at the ARM Southern Great Plains (SGP) site that contain surface meteorological equipment. This extension of the ARMBE data set to multiple facilities at SGP allows for better comparison between model grid boxes and the ARM point observations. In the future, CSSEFARMBE may also be created for other ARM sites. As each site has slightly different instrumentation, this will require additional development to understand the uncertainty characterization associated with instrumentation at those sites. The uncertainty assignment process is implemented into the ARM program’s new Integrated Software Development Environment (ISDE) so that many of the key steps can be used in the future to screen data based on ARM Data Quality Reports (DQRs), propagate uncertainties when transforming data from one time scale into another, and convert names and units into NetCDF Climate and Forecast (CF) standards. These processes are described in more detail in the following sections.

  3. A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits

    SciTech Connect (OSTI)

    Logue, J. M.; Turner, W. J.N.; Walker, I. S.; Singer, B. C.

    2015-01-01T23:59:59.000Z

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector's energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level. The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

  4. Adaptive algorithms for QCSE optical modulators Excitonic optical absorption at near band gap photon energies in III-V compound semiconductor

    E-Print Network [OSTI]

    Levi, Anthony F. J.

    . Typically, such designs make use of simple rectangular potential wells in the AlGaAs/GaAs or InP/InGaAsP1 Adaptive algorithms for QCSE optical modulators Excitonic optical absorption at near band gap of the quantum well, the excitonic optical absorption strength and energy can be manipulated. This quantum

  5. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    Primary Electricity Coal Final energy use in buildings is9 million tonnes of coal equivalent energy could be saved byproportion of energy consumed from coal, coke, liquid fuels,

  6. 2007 Status Report: Savings Estimates for the ENERGY STAR(R) VoluntaryLabeling Program

    E-Print Network [OSTI]

    Sanchez, Marla; Webber, Carrie A.; Brown, Richard E.; Homan, Gregory K.

    2007-01-01T23:59:59.000Z

    0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US0383(97). Energy Information Administration. December. US

  7. 2005 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla

    2006-01-01T23:59:59.000Z

    EIA-0383(2005). Energy Information Administration. http://0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US

  8. 2006 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan, Gregory K.

    2006-01-01T23:59:59.000Z

    0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US0383(97). Energy Information Administration. December. US

  9. Estimating Energy Efficiency Technology Adoption Curve Elasticity with Respect to Government and Utility Deployment Program Indicators

    E-Print Network [OSTI]

    Van Buskirk, Robert

    2014-01-01T23:59:59.000Z

    circles represent Energy Star market share data for statesdiamonds represent the Energy Star market share data foris assembled for Energy Star product markets covering all 50

  10. Estimating Energy Efficiency Technology Adoption Curve Elasticity with Respect to Government and Utility Deployment Program Indicators

    E-Print Network [OSTI]

    Van Buskirk, Robert

    2014-01-01T23:59:59.000Z

    Energy Efficiency Technology Adoption Curve Elasticity withEnvironmental Energy Technologies Division Ernest OrlandoEnergy, Building Technologies Office under Contract no. DE-

  11. Age Estimations of M31 Globular Clusters from Their Spectral Energy Distributions

    E-Print Network [OSTI]

    Ma, J; Chen, J; Fan, Z; Jiang, Z; Yang, Y; Zhou, X; Burstein, David; Chen, Jiansheng; Fan, Zhou; Jiang, Zhaoji; Ma, Jun; Yang, Yanbin; Zhou, Xu

    2005-01-01T23:59:59.000Z

    This paper presents accurate spectral energy distributions (SEDs) of 16 M31 globular clusters (GCs) confirmed by spectroscopy and/or high spatial-resolution imaging, as well as 30 M31 globular cluster candidates detected by Mochejska et al. Most of these candidates have m_V > 18, deeper than previous searches, and these candidates have not yet been confirmed to be globular clusters. The SEDs of these clusters and candidates are obtained as part of the BATC Multicolor Survey of the Sky, in which the spectrophotometrically-calibrated CCD images of M31 in 13 intermediate-band filters from 4000 to 10000 A were observed. These filters are specifically designed to exclude most of the bright and variable night-sky emission lines including the OH forest. In comparison to the SEDs of true GCs, we find that some of the candidate objects are not GCs in M31. SED fits show that theoretical simple stellar population (SSP) models can fit the true GCs very well. We estimate the ages of these GCs by comparing with SSP models....

  12. Spectral Energy Distributions and Age Estimates of 172 Globular Clusters in M31

    E-Print Network [OSTI]

    Jiang, L; Zhou, X; Chen, J; Wu, H; Jiang, Z; Jiang, Linhua; Ma, Jun; Zhou, Xu; Chen, Jiansheng; Wu, Hong; Jiang, Zhaoji

    2003-01-01T23:59:59.000Z

    In this paper we present CCD multicolor photometry for 172 globular clusters (GCs), taken from the Bologna catalog (Battistini et al. 1987), in the nearby spiral galaxy M31. The observations were carried out by using the National Astronomical Observatories 60/90 cm Schmidt Telescope in 13 intermediate-band filters, which covered a range of wavelength from 3800 to 10000A. This provides a multicolor map of M31 in pixels of 1.7"*1.7". By aperture photometry, we obtain the spectral energy distributions (SEDs) for these GCs. Using the relationship between the BATC intermediate-band system used for the observations and the UBVRI broad-band system, the magnitudes in the B and V bands are derived. The computed V and B-V are in agreement with the values given by Battistini et al. (1987) and Barmby et al. (2000). Finally, by comparing the photometry of each GC with theoretical stellar population synthesis models, we estimate ages of the sample GCs for different metallicities. The results show that nearly all our sample...

  13. An Energy Signature Scheme for Steam Trap Assessment and Flow Rate Estimation Using Pipe-Induced Acoustic Measurements

    SciTech Connect (OSTI)

    Olama, Mohammed M [ORNL; Allgood, Glenn O [ORNL; Kuruganti, Phani Teja [ORNL; Lake, Joe E [ORNL

    2012-01-01T23:59:59.000Z

    The US Congress has passed legislation dictating that all government agencies establish a plan and process for improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based energy efficiency optimization framework within the steam distribution system within the ORNL campus. We make assessments on the real-time status of the distribution system by observing the state measurements of acoustic sensors mounted on the steam pipes/traps/valves. In this paper, we describe a spectral-based energy signature scheme that interprets acoustic vibration sensor data to estimate steam flow rates and assess steam traps health status. Experimental results show that the energy signature scheme has the potential to identify different steam trap health status and it has sufficient sensitivity to estimate steam flow rate. Moreover, results indicate a nearly quadratic relationship over the test region between the overall energy signature factor and flow rate in the pipe. The analysis based on estimated steam flow and steam trap status helps generate alerts that enable operators and maintenance personnel to take remedial action. The goal is to achieve significant energy-saving in steam lines by monitoring and acting on leaking steam pipes/traps/valves.

  14. A 900MHz RF Energy Harvesting Module TARIS Thierry, VIGNERAS Valrie

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract --This paper presents a guideline to design and optimize a RF energy harvester operating in ISM-the-shelf devices. The topology of the impedance transformation block is selected to reduce the losses which sensitivity of -22.5 dBm for a dc output voltage of 200 mV up to -11 dBm for 1.08 V. A wireless power

  15. GIZ Sourcebook Module 5b: Urban Road Safety | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Openf: Eco

  16. GIZ Sourcebook Module 5c: Noise and its Abatement | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Openf: EcoGIZ

  17. GIZ Sourcebook Module 5d: The CDM in the Transport Sector | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump| Openf:

  18. GIZ Sourcebook Module 5e: Transport and Climate Change | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette, Jump|

  19. GIZ Sourcebook Module 5h: Urban Transport and Energy Efficiency | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,Jump to:Wilmette,

  20. OpenPEOPLE D2.8 Ergonomic Page 1/37 Open Power and Energy Optimization Platform and Estimator

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    OpenPEOPLE D2.8­ Ergonomic Page 1/37 OpenPEOPLE Open Power and Energy Optimization Platform and Estimator Internal Deliverable 2.8 Ergonomics Document Manager Contributors Checked by Name Jonathan PONROY ergonomic for the OpenPEOPLE software platform. inria-00624000,version1-16Sep2011 #12;OpenPEOPLE D2

  1. "Order Module--DOE O 442.1, DEPARTMENT OF ENERGY EMPLOYEE CONCERNS PROGRAM

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless or Demand-TypeWelcome toFarm GrowthHolidays| Department of

  2. Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade (MillionThousand Cubic Feet)7 5 1Oil

  3. Assumption to the Annual Energy Outlook 2014 - Natural Gas Transmission and Distribution Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NA

  4. Assumption to the Annual Energy Outlook 2014 - Oil and Gas Supply Module

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA NAOil and Gas Supply

  5. Order Module--DOE O 414.1D, QUALITY ASSURANCE | 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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecemberInitiativesNationalNuclear Safety Officethe ChiefServices14.1D, QUALITY

  6. Order Module--THE CONTROL OF HAZARDOUS ENERGY (LOCKOUT/TAGOUT) FAMILIAR

    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:Year in3.pdfEnergyDepartment ofOil's Impact on Our National-Projects in theDepartmentLEVEL |

  7. Modulated Tool-Path (MTP) Chip Breaking System - Energy Innovation Portal

    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),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource ProgramModification and Application of a NewHigherIndustrial

  8. Coal Market Module of the National Energy Modeling System Model Documentation 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles byDecade7Coal

  9. 2006 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan, Gregory K.

    2006-01-01T23:59:59.000Z

    10,000 hours) than incandescent lamps (usually estimated atcurrent plus several future incandescent lamp purchases. Themany times longer than incandescent lamps, maintenance costs

  10. 2007 Status Report: Savings Estimates for the ENERGY STAR(R) VoluntaryLabeling Program

    E-Print Network [OSTI]

    Sanchez, Marla; Webber, Carrie A.; Brown, Richard E.; Homan, Gregory K.

    2007-01-01T23:59:59.000Z

    10,000 hours) than incandescent lamps (usually estimated atcurrent plus several future incandescent lamp purchases. Themany times longer than incandescent lamps, maintenance costs

  11. 2005 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla

    2006-01-01T23:59:59.000Z

    10,000 hours) than incandescent lamps (usually estimated atcurrent plus several future incandescent lamp purchases. Themany times longer than incandescent lamps, maintenance costs

  12. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    SciTech Connect (OSTI)

    Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

    2008-06-03T23:59:59.000Z

    ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

  13. Low energy cosmic ray positron fraction explained by charge-sign dependent solar modulation

    E-Print Network [OSTI]

    Luca Maccione

    2013-01-24T23:59:59.000Z

    We compute cosmic ray (CR) nuclei, proton, antiproton, electron and positron spectra below 1 TeV at Earth by means of a detailed transport description in the galaxy and in the solar system. CR spectra below 10 GeV are strongly modified by charge-sign dependent propagation effects. These depend on the polarity of the solar magnetic field and therefore vary with the solar cycle. The puzzling discrepancy between the low-energy positron fraction measured by PAMELA and AMS-01 is then easily explained by their different data-taking epochs. We reproduce the observed spectra of CR light nuclei within the same galactic and solar-system propagation model.

  14. Low energy cosmic ray positron fraction explained by charge-sign dependent solar modulation

    E-Print Network [OSTI]

    Maccione, Luca

    2012-01-01T23:59:59.000Z

    We compute cosmic ray (CR) nuclei, proton, antiproton, electron and positron spectra below 1 TeV at Earth by means of a detailed transport description in the galaxy and in the solar system. CR spectra below 10 GeV are strongly modified by charge-sign dependent propagation effects. These depend on the polarity of the solar magnetic field and therefore vary with the solar cycle. The puzzling discrepancy between the low-energy positron fraction measured by PAMELA and AMS-01 is then easily explained by their different data-taking epochs. We reproduce the observed spectra of CR light nuclei within the same galactic and solar-system propagation model.

  15. Modulation of DNA loop lifetimes by the free energy of loop formation

    E-Print Network [OSTI]

    Chen, Yi-Ju; Mulligan, Peter; Spakowitz, Andrew J; Phillips, Rob

    2015-01-01T23:59:59.000Z

    Storage and retrieval of the genetic information in cells is a dynamic process that requires the DNA to undergo dramatic structural rearrangements. DNA looping is a prominent example of such a structural rearrangement that is essential for transcriptional regulation in both prokaryotes and eukaryotes, and the speed of such regulations affects the fitness of individuals. Here, we examine the in vitro looping dynamics of the classic Lac repressor gene-regulatory motif. We show that both loop association and loop dissociation at the DNA-repressor junctions depend on the elastic deformation of the DNA and protein, and that both looping and unlooping rates approximately scale with the looping J factor, which reflects the system's deformation free energy. We explain this observation by transition state theory and model the DNA-protein complex as an effective worm-like chain with twist. We introduce a finite protein-DNA binding interaction length, in competition with the characteristic DNA deformation length scale, ...

  16. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Refinements to flare energy estimates -a follow-up to "Energy

    E-Print Network [OSTI]

    California at Berkeley, University of

    flare/CME events, using as much reliable data as was available, not only on radiative output, but also estimates - a follow-up to "Energy Partition in Two Solar Flare/CME Events" A. G. Emslie, 1 B. R. Dennis 2 in the different flare and CME components of two major solar events with unprecedented observational coverage, one

  17. Module Handbook Core Univ. of Oldenburg

    E-Print Network [OSTI]

    Habel, Annegret

    Energy Conversion Process · Location Dependence of Wind Energy Potential and Wind Energy Forecasting/EUREC Course 2008/2009 #12;EUREC Core Courses at University of Oldenburg, 1st Semester Wind Energy Module Module Description: Wind Energy Field: Core Oldenburg Courses: Wind Energy Wind Energy

  18. An Estimate of Energy Use in Laboratories, Cleanrooms, and Data Centers in New York

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    Andrews Program Manager New York State Energy Research andwork was supported by the New York State Energy Research andork. Energy Use by the High-tech Sector in New York Trillion

  19. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    were used to calculate the energy mix in manufacturing,of China’s total energy consumption mix. However, accuratelyof China’s total energy consumption mix. However, accurately

  20. Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations

    E-Print Network [OSTI]

    Konopacki, S.J.

    2010-01-01T23:59:59.000Z

    Irwin Fort Sill Yuma Pg Fort Bliss Fort Sam Houston FortEstimated H V A C EUIs at Fort Bliss Table 5-12. Annual DOE-Estimated Electricity Use at Fort Bliss [GWh/yr] Table 5-24.

  1. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    of Central Government Buildings. ” Available at: http://Energy Commission, PIER Building End-Use Energy Efficiencythe total lifecycle of a building such as petroleum and

  2. Solar energy conversion via hot electron internal photoemission in metallic nanostructures: Efficiency estimates

    E-Print Network [OSTI]

    Atwater, Harry

    Solar energy conversion via hot electron internal photoemission in metallic nanostructures://scitation.aip.org/termsconditions. Downloaded to ] IP: 131.215.44.236 On: Tue, 01 Apr 2014 22:46:10 #12;Solar energy conversion via hot electron for the construction of solar energy-conversion devices. Herein, we evaluate theoretically the energy

  3. 2006 Status Report Savings Estimates for the ENERGY STAR(R) Voluntary Labeling Program

    E-Print Network [OSTI]

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan, Gregory K.

    2006-01-01T23:59:59.000Z

    Technology. August. AHAM. 2002. Excel Spreadsheet: "development process through AHAM. Energy Star wattages are

  4. 2007 Status Report: Savings Estimates for the ENERGY STAR(R) VoluntaryLabeling Program

    E-Print Network [OSTI]

    Sanchez, Marla; Webber, Carrie A.; Brown, Richard E.; Homan, Gregory K.

    2007-01-01T23:59:59.000Z

    Technology. August. AHAM. 2002. Excel Spreadsheet: "development process through AHAM. Energy Star wattages are

  5. Estimating electricity storage power rating and discharge duration for utility transmission and distribution deferral :a study for the DOE energy storage program.

    SciTech Connect (OSTI)

    Eyer, James M. (Distributed Utility Associates, Livermore, CA); Butler, Paul Charles; Iannucci, Joseph J., Jr. (,.Distributed Utility Associates, Livermore, CA)

    2005-11-01T23:59:59.000Z

    This report describes a methodology for estimating the power and energy capacities for electricity energy storage systems that can be used to defer costly upgrades to fully overloaded, or nearly overloaded, transmission and distribution (T&D) nodes. This ''sizing'' methodology may be used to estimate the amount of storage needed so that T&D upgrades may be deferred for one year. The same methodology can also be used to estimate the characteristics of storage needed for subsequent years of deferral.

  6. Webinar on Improving Methods for Estimating Fatality of Birds and Bats at Wind Energy Facilities 10Noon Pacific Wednesday, September 26, 2012

    E-Print Network [OSTI]

    Webinar on Improving Methods for Estimating Fatality of Birds and Bats at Wind Energy Facilities 10 results from a California Wind Energy Association (CalWEA)sponsored, California Energy Commissionfunded associated with wind energy facilities, including an improved equation developed to adjust mortality

  7. Technique for the Estimation of Surface Temperatures from Embedded Temperature Sensing for Rapid, High Energy Surface Deposition

    SciTech Connect (OSTI)

    Watkins, Tyson R.; Schunk, Peter Randall; Roberts, Scott A.

    2014-07-01T23:59:59.000Z

    Temperature histories on the surface of a body that has been subjected to a rapid, high-energy surface deposition process can be di#14;fficult to determine, especially if it is impossible to directly observe the surface or attach a temperature sensor to it. In this report, we explore two methods for estimating the temperature history of the surface through the use of a sensor embedded within the body very near to the surface. First, the maximum sensor temperature is directly correlated with the peak surface temperature. However, it is observed that the sensor data is both delayed in time and greatly attenuated in magnitude, making this approach unfeasible. Secondly, we propose an algorithm that involves fitting the solution to a one-dimensional instantaneous energy solution problem to both the sensor data and to the results of a one-dimensional CVFEM code. This algorithm is shown to be able to estimate the surface temperature {+-}~20#14;{degrees}C.

  8. Repetition of the shape of the ultrafast self-modulation of the optical absorption spectrum upon varying the energy of pulse of GaAs pumping

    SciTech Connect (OSTI)

    Ageeva, N. N.; Bronevoi, I. L., E-mail: bil@cplire.ru; Zabegaev, D. N.; Krivonosov, A. N. [Russian Academy of Sciences, Kotel'nikov Institute of Radio Engineering and Electronics (Russian Federation)

    2010-10-15T23:59:59.000Z

    Ultrafast self-modulation of the fundamental optical absorption emerges during intense picosecond optical pumping of GaAs and, according to the main assumption, reflects self-oscillations of depletion of electron populations in the conduction band. In this study, the quantitatively confirmed explanation of previously experimentally found cyclic repetition of the form of ultrafast self-modulation of the absorption spectrum upon varying the energy of the pumping pulse and fixed delay between pumping and probing (the measurement of absorption) is given. Repetition of the shape is explained by varying the phase of self-oscillations of the optical absorption. The explanation is based on the previously found experimentally dependence of the frequency of self-oscillations of absorption on the pumping energy. Therefore, this is also a new confirmation of the mentioned dependence (which satisfactorily coincides with a similar calculated dependence of the frequency of self-oscillations of depletion of populations).

  9. Precise estimation of shell model energy by second order extrapolation method

    E-Print Network [OSTI]

    Takahiro Mizusaki; Masatoshi Imada

    2003-02-20T23:59:59.000Z

    A second order extrapolation method is presented for shell model calculations, where shell model energies of truncated spaces are well described as a function of energy variance by quadratic curves and exact shell model energies can be obtained by the extrapolation. This new extrapolation can give more precise energy than those of first order extrapolation method. It is also clarified that first order extrapolation gives a lower limit of shell model energy. In addition to the energy, we derive the second order extrapolation formula for expectation values of other observables.

  10. T ti E St S tTetiaroa Energy Storage System Estimated ZBB Zinc Bromide Battery Performance and Costs

    E-Print Network [OSTI]

    Kammen, Daniel M.

    ://rael.berkeley.edu 6Modeled 455kW gen set output power #12;Alte nati e Diesel Si ingAlternative Diesel Sizing://rael.berkeley.edu 1 #12;Island Load and DieselIsland Load and Diesel Generation Assumptions #12;Estimated Elect ical: Average daily energy use: 5,698 kWh d d 23 k Average power demand: 237 kW Peak power demand: 427 kW Load

  11. Hawaii Clean Energy Initiative (HCEI) Scenario Analysis: Quantitative Estimates Used to Facilitate Working Group Discussions (2008-2010)

    SciTech Connect (OSTI)

    Braccio, R.; Finch, P.; Frazier, R.

    2012-03-01T23:59:59.000Z

    This report provides details on the Hawaii Clean Energy Initiative (HCEI) Scenario Analysis to identify potential policy options and evaluate their impact on reaching the 70% HECI goal, present possible pathways to attain the goal based on currently available technology, with an eye to initiatives under way in Hawaii, and provide an 'order-of-magnitude' cost estimate and a jump-start to action that would be adjusted with a better understanding of the technologies and market.

  12. Updated estimation of energy efficiencies of U.S. petroleum refineries.

    SciTech Connect (OSTI)

    Palou-Rivera, I.; Wang, M. Q. (Energy Systems)

    2010-12-08T23:59:59.000Z

    Evaluation of life-cycle (or well-to-wheels, WTW) energy and emission impacts of vehicle/fuel systems requires energy use (or energy efficiencies) of energy processing or conversion activities. In most such studies, petroleum fuels are included. Thus, determination of energy efficiencies of petroleum refineries becomes a necessary step for life-cycle analyses of vehicle/fuel systems. Petroleum refinery energy efficiencies can then be used to determine the total amount of process energy use for refinery operation. Furthermore, since refineries produce multiple products, allocation of energy use and emissions associated with petroleum refineries to various petroleum products is needed for WTW analysis of individual fuels such as gasoline and diesel. In particular, GREET, the life-cycle model developed at Argonne National Laboratory with DOE sponsorship, compares energy use and emissions of various transportation fuels including gasoline and diesel. Energy use in petroleum refineries is key components of well-to-pump (WTP) energy use and emissions of gasoline and diesel. In GREET, petroleum refinery overall energy efficiencies are used to determine petroleum product specific energy efficiencies. Argonne has developed petroleum refining efficiencies from LP simulations of petroleum refineries and EIA survey data of petroleum refineries up to 2006 (see Wang, 2008). This memo documents Argonne's most recent update of petroleum refining efficiencies.

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

    E-Print Network [OSTI]

    Luneski, R. D.

    2011-01-01T23:59:59.000Z

    -intervention data to be able to assess the impact of an intervention. Strategic energy management programs such as CEI, help companies develop the data management practices necessary to manage energy as a controllable expense. While this paper presented...

  14. The Steam System Assessment Tool (SSAT): Estimating Steam System Energy, Cost, and Emission Savings

    E-Print Network [OSTI]

    Wright, A.; Bealing, C.; Eastwood, A.; Tainsh, R.; Hahn, G.; Harrell, G.

    The U. S. Department of Energy's (DOE) Industrial Technology Program BestPractices Steam effort is developing a number of software tools to assist industrial energy users to improve the efficiency of their steam system. A major new Best...

  15. On UHECR energy estimation algorithms based on the measurement of electromagnetic component parameters in EAS

    E-Print Network [OSTI]

    A. A. Ivanov

    2007-04-26T23:59:59.000Z

    Model calculations are performed of extensive air shower (EAS) component energies using a variety of hadronic interaction parameters. A conversion factor from electromagnetic component energy to the energy of ultra-high energy cosmic rays (UHECRs) and its model and primary mass dependence is studied. It is shown that model dependence of the factor minimizes under the necessary condition of the same maximum position and muon content of simulated showers.

  16. New Wind Energy Resource Potential Estimates for the United States (Presentation)

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Brower, M.; Hale, E.; Phelps, B.

    2011-01-01T23:59:59.000Z

    This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.

  17. Module Configuration

    DOE Patents [OSTI]

    Oweis, Salah (Ellicott City, MD); D'Ussel, Louis (Bordeaux, FR); Chagnon, Guy (Cockeysville, MD); Zuhowski, Michael (Annapolis, MD); Sack, Tim (Cockeysville, MD); Laucournet, Gaullume (Paris, FR); Jackson, Edward J. (Taneytown, MD)

    2002-06-04T23:59:59.000Z

    A stand alone battery module including: (a) a mechanical configuration; (b) a thermal management configuration; (c) an electrical connection configuration; and (d) an electronics configuration. Such a module is fully interchangeable in a battery pack assembly, mechanically, from the thermal management point of view, and electrically. With the same hardware, the module can accommodate different cell sizes and, therefore, can easily have different capacities. The module structure is designed to accommodate the electronics monitoring, protection, and printed wiring assembly boards (PWAs), as well as to allow airflow through the module. A plurality of modules may easily be connected together to form a battery pack. The parts of the module are designed to facilitate their manufacture and assembly.

  18. JULY 2005 1 An estimate of tidal energy lost to turbulence at the Hawaiian Ridge

    E-Print Network [OSTI]

    Klymak, Jody M.

    of 2) spring-neap variation in dissipation was observed. The observations also suggest a kinematic-integrated dissipation (D), such that D E1±0.5 at sites along the ridge. This kinematic relationship is supported by combining a simple knife-edge model to estimate internal tide generation with wave-wave interaction time

  19. Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition

    E-Print Network [OSTI]

    .V. All rights reserved. Keywords: Robust speech recognition; MMSE estimation; Speech enhancement methods fall under two categories: front-end speech/feature enhancement and back-end model adaptation. Back are interested in methods that perform enhancement on the speech signal. Several methods falling

  20. Natural Gas Transmission and Distribution Module

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

  1. Natural Gas Transmission and Distribution Module

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

  2. Natural Gas Transmission and Distribution Module This

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

  3. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    SciTech Connect (OSTI)

    Messenger, Mike; Bharvirkar, Ranjit; Golemboski, Bill; Goldman, Charles A.; Schiller, Steven R.

    2010-04-14T23:59:59.000Z

    Public and private funding for end-use energy efficiency actions is expected to increase significantly in the United States over the next decade. For example, Barbose et al (2009) estimate that spending on ratepayer-funded energy efficiency programs in the U.S. could increase from $3.1 billion in 2008 to $7.5 and 12.4 billion by 2020 under their medium and high scenarios. This increase in spending could yield annual electric energy savings ranging from 0.58% - 0.93% of total U.S. retail sales in 2020, up from 0.34% of retail sales in 2008. Interest in and support for energy efficiency has broadened among national and state policymakers. Prominent examples include {approx}$18 billion in new funding for energy efficiency programs (e.g., State Energy Program, Weatherization, and Energy Efficiency and Conservation Block Grants) in the 2009 American Recovery and Reinvestment Act (ARRA). Increased funding for energy efficiency should result in more benefits as well as more scrutiny of these results. As energy efficiency becomes a more prominent component of the U.S. national energy strategy and policies, assessing the effectiveness and energy saving impacts of energy efficiency programs is likely to become increasingly important for policymakers and private and public funders of efficiency actions. Thus, it is critical that evaluation, measurement, and verification (EM&V) is carried out effectively and efficiently, which implies that: (1) Effective program evaluation, measurement, and verification (EM&V) methodologies and tools are available to key stakeholders (e.g., regulatory agencies, program administrators, consumers, and evaluation consultants); and (2) Capacity (people and infrastructure resources) is available to conduct EM&V activities and report results in ways that support program improvement and provide data that reliably compares achieved results against goals and similar programs in other jurisdictions (benchmarking). The National Action Plan for Energy Efficiency (2007) presented commonly used definitions for EM&V in the context of energy efficiency programs: (1) Evaluation (E) - The performance of studies and activities aimed at determining the effects and effectiveness of EE programs; (2) Measurement and Verification (M&V) - Data collection, monitoring, and analysis associated with the calculation of gross energy and demand savings from individual measures, sites or projects. M&V can be a subset of program evaluation; and (3) Evaluation, Measurement, and Verification (EM&V) - This term is frequently seen in evaluation literature. EM&V is a catchall acronym for determining both the effectiveness of program designs and estimates of load impacts at the portfolio, program and project level. This report is a scoping study that assesses current practices and methods in the evaluation, measurement and verification (EM&V) of ratepayer-funded energy efficiency programs, with a focus on methods and practices currently used for determining whether projected (ex-ante) energy and demand savings have been achieved (ex-post). M&V practices for privately-funded energy efficiency projects (e.g., ESCO projects) or programs where the primary focus is greenhouse gas reductions were not part of the scope of this study. We identify and discuss key purposes and uses of current evaluations of end-use energy efficiency programs, methods used to evaluate these programs, processes used to determine those methods; and key issues that need to be addressed now and in the future, based on discussions with regulatory agencies, policymakers, program administrators, and evaluation practitioners in 14 states and national experts in the evaluation field. We also explore how EM&V may evolve in a future in which efficiency funding increases significantly, innovative mechanisms for rewarding program performance are adopted, the role of efficiency in greenhouse gas mitigation is more closely linked, and programs are increasingly funded from multiple sources often with multiple program administrators and in

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

    E-Print Network [OSTI]

    2011 # Springer Science+Business Media B.V. 2011 Abstract In energy-economy modeling, new hybrid models of the most energy-efficient or lowest emission technologies. Optimization models with technological detail disaggregated models. Where they cover all M. Jaccard (*) School of Resource and Environmental Management, Simon

  5. Emittance growth from electron beam modulation

    SciTech Connect (OSTI)

    Blaskiewicz, M.

    2009-12-01T23:59:59.000Z

    In linac ring colliders like MeRHIC and eRHIC a modulation of the electron bunch can lead to a modulation of the beam beam tune shift and steering errors. These modulations can lead to emittance growth. This note presents simple formulas to estimate these effects which generalize some previous results.

  6. LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation

    E-Print Network [OSTI]

    LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating. Turner, Iain S. Walker, and Brett C. Singer Environmental Energy Technologies Division June 2012 LBNL-5796E #12;LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model

  7. Solar energy conversion via hot electron internal photoemission in metallic nanostructures: Efficiency estimates

    SciTech Connect (OSTI)

    Leenheer, Andrew J.; Narang, Prineha; Atwater, Harry A., E-mail: haa@caltech.edu [Thomas J. Watson Laboratories of Applied Physics, California Institute of Technology, Pasadena, California 91125 (United States); Joint Center for Artificial Photosynthesis, Pasadena, California 91125 (United States); Lewis, Nathan S. [Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125 (United States); Joint Center for Artificial Photosynthesis, Pasadena, California 91125 (United States)

    2014-04-07T23:59:59.000Z

    Collection of hot electrons generated by the efficient absorption of light in metallic nanostructures, in contact with semiconductor substrates can provide a basis for the construction of solar energy-conversion devices. Herein, we evaluate theoretically the energy-conversion efficiency of systems that rely on internal photoemission processes at metal-semiconductor Schottky-barrier diodes. In this theory, the current-voltage characteristics are given by the internal photoemission yield as well as by the thermionic dark current over a varied-energy barrier height. The Fowler model, in all cases, predicts solar energy-conversion efficiencies of <1% for such systems. However, relaxation of the assumptions regarding constraints on the escape cone and momentum conservation at the interface yields solar energy-conversion efficiencies as high as 1%–10%, under some assumed (albeit optimistic) operating conditions. Under these conditions, the energy-conversion efficiency is mainly limited by the thermionic dark current, the distribution of hot electron energies, and hot-electron momentum considerations.

  8. Quantitative estimates on the Hydrogen ground state energy in non-relativistic QED

    E-Print Network [OSTI]

    Jean-Marie Barbaroux; Thomas Chen; Semjon Vugalter; Vitali Vougalter

    2010-06-04T23:59:59.000Z

    In this paper, we determine the exact expression for the hydrogen binding energy in the Pauli-Fierz model up to the order $O(\\alpha^5\\log\\alpha^{-1})$, where $\\alpha$ denotes the finestructure constant, and prove rigorous bounds on the remainder term of the order $o(\\alpha^5\\log\\alpha^{-1})$. As a consequence, we prove that the binding energy is not a real analytic function of $\\alpha$, and verify the existence of logarithmic corrections to the expansion of the ground state energy in powers of $\\alpha$, as conjectured in the recent literature.

  9. ENERGY-OPTIMISED CODED MODULATION FOR SHORT-RANGE WIRELESS COMMUNICATIONS ON NAKAGAMI-m FADING CHANNELS

    E-Print Network [OSTI]

    Ã?ien, Geir E.

    of a transmission scheme which takes into account total energy consumption instead of transmission energy alone scheme which takes into account total energy consumption instead of transmission energy alone of a wireless communication link is sufficiently short, circuit energy consumption and transmission energy con

  10. Estimation of the Energy and Capacity Savings in Texas from Appliance Efficiency Standards

    E-Print Network [OSTI]

    Verdict, M.

    1986-01-01T23:59:59.000Z

    The purpose of this presentation will be to assess the technical potential for energy and capacity savings in Texas by the year 2006 by the statewide adoption of minimum appliance efficiency standards equivalent to those recently adopted...

  11. Estimation of land surface water and energy balance flux components and closure relation using conditional sampling

    E-Print Network [OSTI]

    Farhadi, Leila

    2012-01-01T23:59:59.000Z

    Models of terrestrial water and energy balance include numerical treatment of heat and moisture diffusion in the soil-vegetation-atmosphere continuum. These two diffusion and exchange processes are linked only at a few ...

  12. Energy pathways and structures of oceanic eddies from the ECCO2 State Estimate and Simplified Models

    E-Print Network [OSTI]

    Chen, Ru, Ph. D. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Studying oceanic eddies is important for understanding and predicting ocean circulation and climate variability. The central focus of this dissertation is the energy exchange between eddies and mean ow and banded structures ...

  13. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01T23:59:59.000Z

    Case 25 Figure 9 CO2 Emissions from Commercial Buildings (27 Figure 12 CO2 Emissions by Sector (Primary Energy,16 Office Building CO2 Emissions (Reference Case, Primary

  14. Influence of thermal zone assumptions on DOE-2 energy use estimations of a commercial building

    E-Print Network [OSTI]

    Hinchey, Sharon Beth

    1991-01-01T23:59:59.000Z

    heating and cooling energy consumption and the simulated values was only 3%. These results were found based on monthly energy data, and several iterations were performed to adjust the input file when major inconsistencies were found between... and Atmospheric Administration's Typical Meteorological Year (TMY) file and then "tuned" again. The ECM's were then modeled and ranked according to their cost effectiveness. This report shows one way of matching simulated data to monitored data...

  15. Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2012, United States

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy ExpenditureET1.

  16. A Protocol for Estimating and Mapping Global EGS Potential | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 SouthWater Rights, Substantive(Sichuan, SwOpenInformation for Estimating

  17. Under Review for Publication in ASME J. Solar Energy Engineering SOL-12-1058 Life Estimation of Pressurized-Air Solar-Thermal Receiver Tubes

    E-Print Network [OSTI]

    Tomkins, Andrew

    for a Brayton-cycle engine are challenging, and lack a large body of operational data unlike steam plants. WeUnder Review for Publication in ASME J. Solar Energy Engineering SOL-12-1058 Life Estimation estimates showed that the Brayton engine's turbine inlet temperature needs to be at least 1100 K

  18. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    E-Print Network [OSTI]

    Sanchez, Marla Christine

    2008-01-01T23:59:59.000Z

    Energy. 1996a. Annual energy outlook 1996 with projectionsEnergy. 1996b. Annual energy outlook 1997 with projectionsof Energy. 1997. Annual energy outlook 1998 with projections

  19. Estimating the Cost and Energy Efficiency of a Solar Water Heater |

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department of EnergyEqualHeaters |

  20. Table E2. Total End-Use Energy Price Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5. Energy6.E2.

  1. Table E9. Total End-Use Energy Expenditure Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy Expenditure

  2. DOE Challenge Home Savings and Cost Estimate Summary | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana. DOCUMENTSof Energy DOE Challenge Home Recommended Quality ManagementThe

  3. Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation

    E-Print Network [OSTI]

    tethered to the ground at a high velocity across the wind direction. Power can be generated by a, the first option is considered. Because it involves a much lighter structure, a major advantage of powerControl of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving

  4. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation), NREL (National Renewable Energy Laboratory)

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: CrystalFG36-08GO18149Speeding accessProposal Title: Community9747Recoverable

  5. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

    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:Year in Review: TopEnergyIDIQBusinessinSupporting Jobs and Diversifying

  6. NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information

  7. NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information

  8. Analysis and estimation of the threshold for a microwave "pellicle mirror" parametric oscillator, via energy conservation

    E-Print Network [OSTI]

    Chiao, Raymond Y

    2012-01-01T23:59:59.000Z

    An experiment is proposed to observe the dynamical Casimir effect by means of two tandem, high Q, superconducting microwave cavities, which are separated from each other by only a very thin wall consisting of a flexible superconducting membrane that can be driven into motion by means of resonant "pump" microwaves injected into the left cavity. Degenerate "signal" and "idler" microwave signals can then be generated by the exponential amplification of vacuum fluctuations in the initially empty right cavity, above a certain threshold. The purpose of this paper is calculate the threshold for this novel kind of opto-mechanical parametric oscillation, using energy considerations.

  9. Transformation of potential energy surfaces for estimating isotopic shifts in anharmonic vibrational frequency calculations

    SciTech Connect (OSTI)

    Meier, Patrick; Oschetzki, Dominik; Rauhut, Guntram, E-mail: rauhut@theochem.uni-stuttgart.de [Institut für Theoretische Chemie, Universität Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart (Germany)] [Institut für Theoretische Chemie, Universität Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart (Germany); Berger, Robert [Clemens-Schöpf Institut für Organische Chemie and Biochemie, Technische Universität Darmstadt, Petersenstrasse 22, 64287 Darmstadt (Germany)] [Clemens-Schöpf Institut für Organische Chemie and Biochemie, Technische Universität Darmstadt, Petersenstrasse 22, 64287 Darmstadt (Germany)

    2014-05-14T23:59:59.000Z

    A transformation of potential energy surfaces (PES) being represented by multi-mode expansions is introduced, which allows for the calculation of anharmonic vibrational spectra of any isotopologue from a single PES. This simplifies the analysis of infrared spectra due to significant CPU-time savings. An investigation of remaining deviations due to truncations and the so-called multi-level approximation is provided. The importance of vibrational-rotational couplings for small molecules is discussed in detail. In addition, an analysis is proposed, which provides information about the quality of the transformation prior to its execution. Benchmark calculations are provided for a set of small molecules.

  10. EIA Report Estimates Growth of U.S. Energy Economy Through 2040 |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTanklessDOJ TitleDr. Steven Chu About UsJob VacanciesAbout

  11. How to Estimate the Economic Impacts from Renewable Energy | Department of

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietip sheetK-4In 2013Department ofThis brief details

  12. Table C4. Total End-Use Energy Consumption Estimates, 2012

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.C4.

  13. Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and MaterialsWenjun DengWISPWind Industry Soars toWind Research

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2 JumpNbrInjWells Jump to: navigation,Sold Jump to:

  15. Estimating effects of energy planning on environmental impacts in the Western United States

    SciTech Connect (OSTI)

    Baechler, M.C.; Cothran, J.N.

    1994-12-01T23:59:59.000Z

    As part of their long-term planning process, utilities and government agencies are choosing power generation and conservation strategies that will effect environmental interactions for decades to come. In the US, power marketing administrations within the US Department of Energy have a strong influence over the strategies to be implemented in large multi-state regions. Pacific Northwest Laboratories (PNL) prepared environmental impact statements (EIS) for two power marketing agencies, the Western Area Power Administration (Western) and Bonneville Power Administration (Bonneville). The Western EIS assessed the effects of integrated resource planing (IRP) on the public utilities Western serves, while the Bonneville EIS assessed the effects of acquiring new energy resources in the pacific Northwest. The results were found using models that simulated utility systems. In both cases, environmental impacts were reduced when the conservation strategy in question was considered. This paper describes the results of the environmental analyses for the two agencies and compares the results with those of another simplified approach that relies on attributing emissions of new resources based on an extrapolation of existing capacity.

  16. Photovoltaic module reliability workshop

    SciTech Connect (OSTI)

    Mrig, L. (ed.)

    1990-01-01T23:59:59.000Z

    The paper and presentations compiled in this volume form the Proceedings of the fourth in a series of Workshops sponsored by Solar Energy Research Institute (SERI/DOE) under the general theme of photovoltaic module reliability during the period 1986--1990. The reliability Photo Voltaic (PV) modules/systems is exceedingly important along with the initial cost and efficiency of modules if the PV technology has to make a major impact in the power generation market, and for it to compete with the conventional electricity producing technologies. The reliability of photovoltaic modules has progressed significantly in the last few years as evidenced by warranties available on commercial modules of as long as 12 years. However, there is still need for substantial research and testing required to improve module field reliability to levels of 30 years or more. Several small groups of researchers are involved in this research, development, and monitoring activity around the world. In the US, PV manufacturers, DOE laboratories, electric utilities and others are engaged in the photovoltaic reliability research and testing. This group of researchers and others interested in this field were brought together under SERI/DOE sponsorship to exchange the technical knowledge and field experience as related to current information in this important field. The papers presented here reflect this effort.

  17. Photovoltaic concentrator module improvements study

    SciTech Connect (OSTI)

    Levy, S.L.; Kerschen, K.A. (Black and Veatch, Kansas City, MO (United States)); Hutchison, G. (Solar Kinetics, Inc., Dallas, TX (United States)); Nowlan, M.J. (Spire Corp., Bedford, MA (United States))

    1991-08-01T23:59:59.000Z

    This report presents results of a project to design and fabricate an improved photovoltaic concentrator module. Using previous work as a baseline, this study conducted analyses and testing to select major module components and design features. The lens parquet and concentrator solar cell were selected from the highest performing, available components. A single 185X point-focus module was fabricated by the project team and tested at Sandia. Major module characteristics include a 6 by 4 compression-molded acrylic lens parquet (0.737 m{sup 2} area), twenty-four 0.2 ohms-cm, FZ, p-Si solar cells (1.56 cm{sup 2} area) soldered to ceramic substrates and copper heat spreaders, and an aluminized steel housing with corrugated bottom. This project marked the first attempt to use prismatic covers on solar cells in a high-concentration, point-focus application. Cells with 15 percent metallization were obtained, but problems with the fabrication and placement of prismatic covers on these cells lead to the decision not to use covers in the prototype module. Cell assembly fabrication, module fabrication, and module optical design activities are presented here. Test results are also presented for bare cells, cell assemblies, and module. At operating conditions of 981 watts/m{sup 2} DNI and an estimated cell temperature of 65{degrees}C, the module demonstrated an efficiency of 13.9 percent prior to stressed environmental exposure. 12 refs., 56 figs., 7 tabs.

  18. Approved Module Information for PD2003, 2014/5 Module Title/Name: Engineering Principles 2 Module Code: PD2003

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    to apply further engineering principles of mechanics, solid mechanics, energy systems and thermo-fluids and understanding of the fundamental engineering principles of mechanics, solid mechanics and thermo- fluidsApproved Module Information for PD2003, 2014/5 Module Title/Name: Engineering Principles 2 Module

  19. Quantum modulation against electromagnetic interference

    E-Print Network [OSTI]

    Juan Carlos Garcia-Escartin

    2014-11-26T23:59:59.000Z

    Periodic signals in electrical and electronic equipment can cause interference in nearby devices. Randomized modulation of those signals spreads their energy through the frequency spectrum and can help to mitigate electromagnetic interference problems. The inherently random nature of quantum phenomena makes them a good control signal. I present a quantum modulation method based on the random statistics of quantum light. The paper describes pulse width modulation schemes where a Poissonian light source acts as a random control that spreads the energy of the potential interfering signals. I give an example application for switching-mode power supplies and comment the further possibilities of the method.

  20. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    net zero energy buildings Increased efficiency and more efficient operation of energy-consuming equipments Expanding

  1. Application of simultaneous active and reactive power modulation of superconducting magnetic energy storage unit to damp turbine-generator subsynchronous oscillations

    SciTech Connect (OSTI)

    Wu, Chijui; Lee, Yuangshung (National Taiwan Inst. of Tech., Taipie (Taiwan, Province of China))

    1993-03-01T23:59:59.000Z

    An active and reactive power (P-Q) simultaneous control scheme which is based on a superconducting magnetic energy storage (SMES) unit is designed to damp out the subsynchronous resonant (SSR) oscillations of a turbine-generator unit. In order to suppress unstable torsional mode oscillations, a proportional-integral-derivative (PID) controller is employed to modulate the active and reactive power input/output of the SMES unit according to speed deviation of the generator shaft. The gains of the proposed PID controller are determined by pole assignment approach based on modal control theory. Eigenvalue analysis of the studied system shows that the PID controller is quite effective over a wide range of operating conditions. Dynamic simulations using the nonlinear system model are also performed to demonstrate the damping effect of the proposed control scheme under disturbance conditions.

  2. Large Fermi energy modulation in graphene transistors with high-pressure O{sub 2}-annealed Y{sub 2}O{sub 3} topgate insulators

    SciTech Connect (OSTI)

    Kanayama, Kaoru; Nagashio, Kosuke, E-mail: nagashio@material.t.u-tokyo.ac.jp; Nishimura, Tomonori; Toriumi, Akira [Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

    2014-02-24T23:59:59.000Z

    We demonstrate a considerable suppression of the low-field leakage through a Y{sub 2}O{sub 3} topgate insulator on graphene by applying high-pressure O{sub 2} at 100?atm during post-deposition annealing (HP-PDA). Consequently, the quantum capacitance measurement for the monolayer graphene reveals the largest Fermi energy modulation (E{sub F}?=??0.52?eV, i.e., the carrier density of ?2?×?10{sup 13}?cm{sup ?2}) in the solid-state topgate insulators reported so far. HP-PDA is the robust method to improve the electrical quality of high-k insulators on graphene.

  3. Assessment of Tidal Energy Removal Impacts on Physical Systems: Development of MHK Module and Analysis of Effects on Hydrodynamics

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Wang, Taiping

    2011-09-01T23:59:59.000Z

    In this report we describe (1) the development, test, and validation of the marine hydrokinetic energy scheme in a three-dimensional coastal ocean model (FVCOM); and (2) the sensitivity analysis of effects of marine hydrokinetic energy configurations on power extraction and volume flux in a coastal bay. Submittal of this report completes the work on Task 2.1.2, Effects of Physical Systems, Subtask 2.1.2.1, Hydrodynamics and Subtask 2.1.2.3, Screening Analysis, for fiscal year 2011 of the Environmental Effects of Marine and Hydrokinetic Energy project.

  4. ESTIMATE OF THE TOTAL MECHANICAL FEEDBACK ENERGY FROM GALAXY CLUSTER-CENTERED BLACK HOLES: IMPLICATIONS FOR BLACK HOLE EVOLUTION, CLUSTER GAS FRACTION, AND ENTROPY

    SciTech Connect (OSTI)

    Mathews, William G.; Guo Fulai, E-mail: mathews@ucolick.org [University of California Observatories/Lick Observatory, Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States)

    2011-09-10T23:59:59.000Z

    The total feedback energy injected into hot gas in galaxy clusters by central black holes can be estimated by comparing the potential energy of observed cluster gas profiles with the potential energy of non-radiating, feedback-free hot gas atmospheres resulting from gravitational collapse in clusters of the same total mass. Feedback energy from cluster-centered black holes expands the cluster gas, lowering the gas-to-dark-matter mass ratio below the cosmic value. Feedback energy is unnecessarily delivered by radio-emitting jets to distant gas far beyond the cooling radius where the cooling time equals the cluster lifetime. For clusters of mass (4-11) x 10{sup 14} M{sub sun}, estimates of the total feedback energy, (1-3) x 10{sup 63} erg, far exceed feedback energies estimated from observations of X-ray cavities and shocks in the cluster gas, energies gained from supernovae, and energies lost from cluster gas by radiation. The time-averaged mean feedback luminosity is comparable to those of powerful quasars, implying that some significant fraction of this energy may arise from the spin of the black hole. The universal entropy profile in feedback-free gaseous atmospheres in Navarro-Frenk-White cluster halos can be recovered by multiplying the observed gas entropy profile of any relaxed cluster by a factor involving the gas fraction profile. While the feedback energy and associated mass outflow in the clusters we consider far exceed that necessary to stop cooling inflow, the time-averaged mass outflow at the cooling radius almost exactly balances the mass that cools within this radius, an essential condition to shut down cluster cooling flows.

  5. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    E-Print Network [OSTI]

    Sanchez, Marla Christine

    2008-01-01T23:59:59.000Z

    EIA-0314(93). Energy Information Administration, Office ofEIA-0383(96). Energy Information Administration. Washington,EIA-0383(97). Energy Information Administration. Washington,

  6. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    E-Print Network [OSTI]

    Messenger, Mike

    2010-01-01T23:59:59.000Z

    on future energy efficiency policy and market environment (on the energy efficiency policy and market environment overon future energy efficiency policy and market environment (

  7. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    Cool Earth - Innovative Energy Technology Plan," (14) Agencyof excellent energy technologies. Taking into account energyare based on the energy technology roadmap (References No.

  8. European Photovoltaic Solar Energy Conference, Hamburg, Germany, 21-24 September 2009, 4CO.2.3 Quantitative analysis of PV-modules by electroluminescence images for

    E-Print Network [OSTI]

    the PV module series resistance. We call this method "voltage imaging of the PV module" (VIM to our VIM approach. Keywords: PV module, electroluminescence 1. Introduction In recent years imaging as disruptions of the electrical interconnectors [7, 8, 9]. In this work, we apply the VIM approach presented

  9. State Energy Production Estimates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. RegionalAndyFutureSouth2:3:6

  10. NREL Determines Better Testing Methods for Photovoltaic Module Durability (Fact Sheet), NREL Highlights, Research & Development

    SciTech Connect (OSTI)

    Not Available

    2011-11-01T23:59:59.000Z

    NREL discoveries will enable manufacturers to produce more robust photovoltaic modules. Over the past decade, some photovoltaic (PV) modules have experienced power losses because of the system voltage stress that modules experience in fielded arrays. This is partly because qualification tests and standards do not adequately evaluate the durability of modules that undergo the long-term effects of high voltage. Scientists at the National Renewable Energy Laboratory (NREL) tried various testing methods and stress levels to demonstrate module durability to system voltage potential-induced degradation (PID) mechanisms. The results of these accelerated tests, along with outdoor testing, were used to estimate the acceleration factors needed to more accurately evaluate the durability of modules to system voltage stress. NREL was able to determine stress factors, levels, and methods for testing based on the stresses experienced by modules in the field. These results, in combination with those in the literature, suggest that constant stress with humidity and system voltage is more damaging than stress applied intermittently or with periods of recovery comprising hot and dry conditions or alternating bias in between. NREL has determined some module constructions to be extremely durable to PID. These findings will help the manufacturers of PV materials and components produce more durable products that better satisfy their customers. NREL determined that there is rapid degradation of some PV modules under system voltage stress and evaluated degradation rates in the field to develop more accurate accelerated testing methods. PV module manufacturers will be better able to choose robust materials and durable designs and guarantee sturdier, longer-lasting products. As PV modules become more durable, and thus more efficient over the long term, the risks and the cost of PV power will be reduced.

  11. Slippage effect on energy modulation in seeded free-electron lasers with frequency chirped seed laser pulses

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feng, Chao; Deng, Haixiao; Wang, Guanglei; Wang, Dong; Zhao, Zhentang; Xiang, Dao

    2013-06-01T23:59:59.000Z

    Free-electron lasers (FELs) seeded with external lasers hold great promise for generating high power radiation with nearly transform-limited bandwidth in the soft x-ray region. However, it has been pointed out that the initial seed laser phase error will be amplified by the frequency up-conversion process, which may degrade the quality of the output radiation produced by a harmonic generation scheme. In this paper, theoretical and simulation studies on frequency chirp amplification in seeded FEL schemes with slippage effect taken into account are presented. It is found that the seed laser imperfection experienced by the electron beam can be significantly smoothed by the slippage effect in the modulator when the slippage length is comparable to the seed laser pulse length. This smoothing effect allows one to preserve the excellent temporal coherence of seeded FELs in the presence of large frequency chirp in the seed laser. Our studies show that the tolerance on frequency chirp in the seed laser for generating nearly transform-limited soft x-ray pulses in seeded FELs is much looser than previously thought and fully coherent radiation at nanometer wavelength may be reached with current technologies.

  12. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    E-Print Network [OSTI]

    Sanchez, Marla Christine

    2008-01-01T23:59:59.000Z

    1993 Residential Energy Consumption survey (US DOE 1995) 3 .using the energy consumption test data collected by US EPAUS DOE, United States Department of Energy. 2004. Residential Energy Consumption

  13. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    No.4 Japan's Long-term Energy Demand and Supply Scenario towe projected Japan's energy demand/supply and energy-relatedcrises (to cut primary energy demand per GDP ( T P E S / G D

  14. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    ventilation) Introducing net zero energy buildings IncreasedPotential for Achieving Net Zero-Energy Buildings in the

  15. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    primary energy supply growth has gradually slowed down as energy conservation efforts have been enhanced with interest growing in global

  16. DEWEK Wind Energy Conference 2012 Category: 4. Simulation models BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND

    E-Print Network [OSTI]

    Berlin,Technische Universität

    DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. René Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last

  17. Wide-range voltage modulation

    SciTech Connect (OSTI)

    Rust, K.R.; Wilson, J.M.

    1992-06-01T23:59:59.000Z

    The Superconducting Super Collider`s Medium Energy Booster Abort (MEBA) kicker modulator will supply a current pulse to the abort magnets which deflect the proton beam from the MEB ring into a designated beam stop. The abort kicker will be used extensively during testing of the Low Energy Booster (LEB) and the MEB rings. When the Collider is in full operation, the MEBA kicker modulator will abort the MEB beam in the event of a malfunction during the filling process. The modulator must generate a 14-{mu}s wide pulse with a rise time of less than 1 {mu}s, including the delay and jitter times. It must also be able to deliver a current pulse to the magnet proportional to the beam energy at any time during ramp-up of the accelerator. Tracking the beam energy, which increases from 12 GeV at injection to 200 GeV at extraction, requires the modulator to operate over a wide range of voltages (4 kV to 80 kV). A vacuum spark gap and a thyratron have been chosen for test and evaluation as candidate switches for the abort modulator. Modulator design, switching time delay, jitter and pre-fire data are presented.

  18. Estimating Methods

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28T23:59:59.000Z

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  19. DOE Order Self Study Modules - 29 CFR 1910.147, The Control Of Hazardous Energy (Lockout/Tagout)

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Deliciouscritical_materials_workshop_presentations.pdf MoreProgram |DOEInfrastructure Working GroupEnergyUpdate299

  20. Introduction to the Buildings Sector Module of SEDS

    E-Print Network [OSTI]

    DeForest, Nicholas

    2011-01-01T23:59:59.000Z

    Ma. CBECS, Commercial Building Energy Consumption Survey,R. , and Lai, J. – A Buildings Module for the Stochasticon Energy Efficiency in Buildings, August 17 – 22, 2008,

  1. Photovoltaic module and module arrays

    DOE Patents [OSTI]

    Botkin, Jonathan (El Cerrito, CA); Graves, Simon (Berkeley, CA); Lenox, Carl J. S. (Oakland, CA); Culligan, Matthew (Berkeley, CA); Danning, Matt (Oakland, CA)

    2012-07-17T23:59:59.000Z

    A photovoltaic (PV) module including a PV device and a frame. The PV device has a PV laminate defining a perimeter and a major plane. The frame is assembled to and encases the laminate perimeter, and includes leading, trailing, and side frame members, and an arm that forms a support face opposite the laminate. The support face is adapted for placement against a horizontal installation surface, to support and orient the laminate in a non-parallel or tilted arrangement. Upon final assembly, the laminate and the frame combine to define a unitary structure. The frame can orient the laminate at an angle in the range of 3.degree.-7.degree. from horizontal, and can be entirely formed of a polymeric material. Optionally, the arm incorporates integral feature(s) that facilitate interconnection with corresponding features of a second, identically formed PV module.

  2. Photovoltaic module and module arrays

    DOE Patents [OSTI]

    Botkin, Jonathan; Graves, Simon; Lenox, Carl J. S.; Culligan, Matthew; Danning, Matt

    2013-08-27T23:59:59.000Z

    A photovoltaic (PV) module including a PV device and a frame, The PV device has a PV laminate defining a perimeter and a major plane. The frame is assembled to and encases the laminate perimeter, and includes leading, trailing, and side frame members, and an arm that forms a support face opposite the laminate. The support face is adapted for placement against a horizontal installation surface, to support and orient the laminate in a non-parallel or tilted arrangement. Upon final assembly, the laminate and the frame combine to define a unitary structure. The frame can orient the laminate at an angle in the range of 3.degree.-7.degree. from horizontal, and can be entirely formed of a polymeric material. Optionally, the arm incorporates integral feature(s) that facilitate interconnection with corresponding features of a second, identically formed PV module.

  3. Module greenhouse with high efficiency of transformation of solar energy, utilizing active and passive glass optical rasters

    SciTech Connect (OSTI)

    Korecko, J.; Jirka, V. [ENKI, o.p.s., Dukelska 145, 379 01 Trebon (Czech Republic); Sourek, B. [ENKI, o.p.s., Dukelska 145, 379 01 Trebon (Czech Republic); Czech Technical University of Prague, Technicka 4, 166 07 Prague (Czech Republic); Cerveny, J. [ENKI, o.p.s., Dukelska 145, 379 01 Trebon (Czech Republic); Institute of Physical Biology, Zamek 136, 373 33 Nove Hrady (Czech Republic)

    2010-10-15T23:59:59.000Z

    Since the eighties of the 20th century, various types of linear glass rasters for architectural usage have been developed in the Czech Republic made by the continuous melting technology. The development was focused on two main groups of rasters - active rasters with linear Fresnel lenses in fixed installation and with movable photo-thermal and/or photo-thermal/photo-voltaic absorbers. The second group are passive rasters based on total reflection of rays on an optical prism. During the last years we have been working on their standardization, exact measuring of their optical and thermal-technical characteristics and on creation of a final product that could be applied in solar architecture. With the project supported by the Ministry of Environment of the Czech Republic we were able to build an experimental greenhouse using these active and passive optical glass rasters. The project followed the growing number of technical objectives. The concept of the greenhouse consisted of interdependence construction - structural design of the greenhouse with its technological equipment securing the required temperature and humidity conditions in the interior of the greenhouse. This article aims to show the merits of the proposed scheme and presents the results of the mathematical model in the TRNSYS environment through which we could predict the future energy balance carried out similar works, thus optimizing the investment and operating costs. In this article description of various technology applications for passive and active utilization of solar radiation is presented, as well as some results of short-term and long-term experiments, including evaluation of 1-year operation of the greenhouse from the energy and interior temperature viewpoints. A comparison of the calculated energy flows in the greenhouse to real measured values, for verification of the installed model is also involved. (author)

  4. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    As a result, primary energy consumption per GDP in 2050 willC 0 emissions per primary energy consumption in 2050 will bebehind energy consumption, we have paid attention to primary

  5. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    to cut primary energy demand per GDP ( T P E S / G D P ) inhowever, primary energy supply per GDP decelerated a declineattention to primary energy supply per GDP, per capita GDP

  6. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    E-Print Network [OSTI]

    Messenger, Mike

    2010-01-01T23:59:59.000Z

    of Ratepayer-Funded Energy Efficiency in the U.S. ,” LBNL-October. Consortium for Energy Efficiency 2009. “2008 AnnualThe 2008 State Energy Efficiency Scorecard. ” American

  7. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    of new energy sources including solar power will expandfor 60%, solar and other renewable energy sources for 20%,The share for solar and other new energy sources will expand

  8. Systematic Approaches to Ensure Correct Representation of Measured Multi-Irradiance Module Performance in PV System Energy Forecasting Models

    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),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign Object Damage 3Nationalmimic keyProcessing -Kenneth

  9. Climatically Diverse Data Set for Flat-Plate PV Module Model Validations (Presentation), NREL (National Renewable Energy Laboratory)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationClean Communities of WesternVail GlobalPROGRAM

  10. Electricity Demand and Energy Consumption Management System

    E-Print Network [OSTI]

    Sarmiento, Juan Ojeda

    2008-01-01T23:59:59.000Z

    This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

  11. 1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans-Alaska Pipeline that is consumed in pumping. As always, try not to look anything up.

    E-Print Network [OSTI]

    Nimmo, Francis

    1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans to this (which is 1 bend per 10 m). So we can toss this out. Now estimate the energy content of gasoline: Many

  12. 2.3-MW Medium-Voltage, Three-Level Wind Energy Inverter Applying a Unique Bus Structure and 4.5-kV Si/SiC Hybrid Isolated Power Modules: Preprint

    SciTech Connect (OSTI)

    Erdman, W.; Keller, J.; Grider, D.; VanBrunt, E.

    2014-11-01T23:59:59.000Z

    A high-efficiency, 2.3-MW, medium-voltage, three-level inverter utilizing 4.5-kV Si/SiC (silicon carbide) hybrid modules for wind energy applications is discussed. The inverter addresses recent trends in siting the inverter within the base of multimegawatt turbine towers. A simplified split, three-layer laminated bus structure that maintains low parasitic inductances is introduced along with a low-voltage, high-current test method for determining these inductances. Feed-thru bushings, edge fill methods, and other design features of the laminated bus structure provide voltage isolation that is consistent with the 10.4-kV module isolation levels. Inverter efficiency improvement is a result of the (essential) elimination of the reverse recovery charge present in 4.5-kV Si PIN diodes, which can produce a significant reduction in diode turn-off losses as well as insulated-gate bipolar transistor (IGBT) turn-on losses. The hybrid modules are supplied in industry-standard 140 mm x 130 mm and 190 mm x 130 mm packages to demonstrate direct module substitution into existing inverter designs. A focus on laminated bus/capacitor-bank/module subassembly level switching performance is presented.

  13. Serotonin 5-HT2C receptor-independent expression of hypothalamic NOR1, a novel modulator of food intake and energy balance, in mice

    SciTech Connect (OSTI)

    Nonogaki, Katsunori, E-mail: knonogaki-tky@umin.ac.jp [Center of Excellence, Division of Molecular Metabolism and Diabetes, Tohoku University Graduate School of Medicine (Japan) [Center of Excellence, Division of Molecular Metabolism and Diabetes, Tohoku University Graduate School of Medicine (Japan); Department of Lifestyle Medicine, Biomedical Engineering Center, Tohoku University (Japan); Kaji, Takao [Department of Lifestyle Medicine, Biomedical Engineering Center, Tohoku University (Japan)] [Department of Lifestyle Medicine, Biomedical Engineering Center, Tohoku University (Japan); Ohba, Yukie; Sumii, Makiko [Center of Excellence, Division of Molecular Metabolism and Diabetes, Tohoku University Graduate School of Medicine (Japan)] [Center of Excellence, Division of Molecular Metabolism and Diabetes, Tohoku University Graduate School of Medicine (Japan); Wakameda, Mamoru; Tamari, Tomohiro [Charles River Laboratories Japan, Inc. (Japan)] [Charles River Laboratories Japan, Inc. (Japan)

    2009-08-21T23:59:59.000Z

    NOR1, Nur77 and Nurr1 are orphan nuclear receptors and members of the NR4A subfamily. Here, we report that the expression of hypothalamic NOR1 was remarkably decreased in mildly obese {beta}-endorphin-deficient mice and obese db/db mice with the leptin receptor mutation, compared with age-matched wild-type mice, whereas there were no genotypic differences in the expression of hypothalamic Nur77 or Nurr1 in these animals. The injection of NOR1 siRNA oligonucleotide into the third cerebral ventricle significantly suppressed food intake and body weight in mice. On the other hand, the decreases in hypothalamic NOR1 expression were not found in non-obese 5-HT2C receptor-deficient mice. Moreover, systemic administration of m-chlorophenylpiperazine (mCPP), a 5-HT2C/1B receptor agonist, had no effect on hypothalamic NOR1 expression, while suppressing food intake in {beta}-endorphin-deficient mice. These findings suggest that 5-HT2C receptor-independent proopiomelanocortin-derived peptides regulate the expression of hypothalamic NOR1, which is a novel modulator of feeding behavior and energy balance.

  14. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    plants), nuclear energy's share of electricity generation inplants are constructed toward 2050, nuclear energy's share of total electricity generationelectricity generation will also fall on improvements in the efficiency of coal thermal power plants.

  15. Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs

    E-Print Network [OSTI]

    Messenger, Mike

    2010-01-01T23:59:59.000Z

    best practices in the construction trades that install energy efficiencyenergy efficiency evaluation plans and studies in various states; Develop and disseminate best practicesbest practices” guides and case studies on evaluation planning and methods for energy efficiency

  16. module 4

    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),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf TheViolationsRio Blanco ResponsibleSuiteFrom: Larry Hunteru r r e n

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

    SciTech Connect (OSTI)

    Wang, M.Q.

    1996-03-01T23:59:59.000Z

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

  18. Arnold Schwarzenegger REFINING ESTIMATES OF WATER-

    E-Print Network [OSTI]

    Arnold Schwarzenegger Governor REFINING ESTIMATES OF WATER- RELATED ENERGY USE IN CALIFORNIA Energy Technologies · Transportation Refining Estimates of WaterRelated Energy Use in California is the final report for the Refining Estimates of EnergyRelated Energy Use in California project (contract

  19. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    E-Print Network [OSTI]

    Sanchez, Marla Christine

    2008-01-01T23:59:59.000Z

    increasing market penetration of ENERGY STAR HVAC and anyHVAC Office Equipment Program strategies can include continuing to ensure relevance for the consumer market

  20. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    E-Print Network [OSTI]

    Komiyama, Ryoichi

    2010-01-01T23:59:59.000Z

    growth, population, crude oil prices, industrial materialsin 2050. The imported crude oil price assumption is based onas energy security amid crude oil price spikes. Under the

  1. Search results | Department of Energy

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

    education to middle school students http:energy.goveereeducationdownloadsenergy-efficiency-home-interdisciplinary-module-energy-education Download Electrolysis of Water...

  2. Creep in Photovoltaic Modules: Examining the Stability of Polymeric Materials and Components

    SciTech Connect (OSTI)

    Miller, D. C.; Kempe, M. D.; Glick, S. H.; Kurtz, S. R.

    2011-02-01T23:59:59.000Z

    Interest in renewable energy has motivated the implementation of new polymeric materials in photovoltaic modules. Some of these are non-cross-linked thermoplastics, in which there is a potential for new behaviors to occur, including phase transformation and visco-elastic flow. Differential scanning calorimetry and rheometry data were obtained and then combined with existing site-specific time-temperature information in a theoretical analysis to estimate the displacement expected to occur during module service life. The analysis identified that, depending on the installation location, module configuration and/or mounting configuration, some of the thermoplastics are expected to undergo unacceptable physical displacement. While the examples here focus on encapsulation materials, the concerns apply equally to the frame, junction-box, and mounting-adhesive technologies.

  3. 4052 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 10, OCTOBER 2009 Energy Planning for Progressive Estimation in

    E-Print Network [OSTI]

    Hua, Yingbo

    4052 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 10, OCTOBER 2009 Energy Planning in energy and spectrum than single-hop sensor networks where transmissions are conducted directly between each sensor and a fusion center. With the knowledge of a routing tree from all sensors to a destination

  4. Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation

    SciTech Connect (OSTI)

    Komiyama, Ryoichi; Marnay, Chris; Stadler, Michael; Lai, Judy; Borgeson, Sam; Coffey, Brian; Azevedo, Ines Lima

    2009-09-01T23:59:59.000Z

    In this analysis, the authors projected Japan's energy demand/supply and energy-related CO{sub 2} emissions to 2050. Their analysis of various scenarios indicated that Japan's CO{sub 2} emissions in 2050 could be potentially reduced by 26-58% from the current level (FY 2005). These results suggest that Japan could set a CO{sub 2} emission reduction target for 2050 at between 30% and 60%. In order to reduce CO{sub 2} emissions by 60% in 2050 from the present level, Japan will have to strongly promote energy conservation at the same pace as an annual rate of 1.9% after the oil crises (to cut primary energy demand per GDP (TPES/GDP) in 2050 by 60% from 2005) and expand the share of non-fossil energy sources in total primary energy supply in 2050 to 50% (to reduce CO{sub 2} emissions per primary energy demand (CO{sub 2}/TPES) in 2050 by 40% from 2005). Concerning power generation mix in 2050, nuclear power will account for 60%, solar and other renewable energy sources for 20%, hydro power for 10% and fossil-fired generation for 10%, indicating substantial shift away from fossil fuel in electric power supply. Among the mitigation measures in the case of reducing CO{sub 2} emissions by 60% in 2050, energy conservation will make the greatest contribution to the emission reduction, being followed by solar power, nuclear power and other renewable energy sources. In order to realize this massive CO{sub 2} abatement, however, Japan will have to overcome technological and economic challenges including the large-scale deployment of nuclear power and renewable technologies.

  5. Cooling load estimation methods

    SciTech Connect (OSTI)

    McFarland, R.D.

    1984-01-01T23:59:59.000Z

    Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

  6. Ballasted photovoltaic module and module arrays

    DOE Patents [OSTI]

    Botkin, Jonathan (El Cerrito, CA); Graves, Simon (Berkeley, CA); Danning, Matt (Oakland, CA)

    2011-11-29T23:59:59.000Z

    A photovoltaic (PV) module assembly including a PV module and a ballast tray. The PV module includes a PV device and a frame. A PV laminate is assembled to the frame, and the frame includes an arm. The ballast tray is adapted for containing ballast and is removably associated with the PV module in a ballasting state where the tray is vertically under the PV laminate and vertically over the arm to impede overt displacement of the PV module. The PV module assembly can be installed to a flat commercial rooftop, with the PV module and the ballast tray both resting upon the rooftop. In some embodiments, the ballasting state includes corresponding surfaces of the arm and the tray being spaced from one another under normal (low or no wind) conditions, such that the frame is not continuously subjected to a weight of the tray.

  7. Energy Consumption Estimation for Room Air-conditioners Using Room Temperature Simulation with One-Minute Intervals

    E-Print Network [OSTI]

    Wang, F.; Yoshida, H.; Matsumoto, K.

    2006-01-01T23:59:59.000Z

    For the purpose of developing optimized control algorithm for room air-conditioners to ensure their energy efficiency, a short time interval (i.e., one minute) simulation of building thermal performance is necessary because the sampling time...

  8. Quantitative Estimates on the Binding Energy for Hydrogen in Non-Relativistic QED. II. The spin case

    E-Print Network [OSTI]

    Jean-Marie Barbaroux; Semjon Vugalter

    2013-06-19T23:59:59.000Z

    The hydrogen binding energy in the Pauli-Fierz model with the spin Zeeman term is determined up to the order alpha cube, where alpha denotes the fine-structure constant.

  9. Thermodynamic properties of a magnetically modulated graphene

    E-Print Network [OSTI]

    SK Firoz Islam; Naveen K. Singh; Tarun Kanti Ghosh

    2011-09-12T23:59:59.000Z

    The effect of magnetic modulation on thermodynamic properties of a graphene monolayer in presence of a constant perpendicular magnetic field is reported here. One-dimensional spatial electric or magnetic modulation lifts the degeneracy of the Landau levels and converts into bands and their band width oscillates with magnetic field leading to Weiss-type oscillation in the thermodynamic properties. The effect of magnetic modulation on thermodynamic properties of a graphene sheet is studied and then compared with electrically modulated graphene and magnetically modulated conventional two-dimensional electron gas (2DEG). We observe Weiss-type and de Haas-van Alphen (dHvA) oscillations at low and high magnetic field, respectively. There is a definite phase difference in Weiss-type oscillations in thermodynamic quantities of magnetically modulated graphene in compare to electrically modulated graphene. On the other hand, the phase remains same and amplitude of the oscillation is large when compared with the magnetically modulated 2DEG. Explicit asymptotic expressions of density of states and the Helmholtz free energy are provided to understand the phase and amplitude of the Weiss-type oscillations qualitatively. We also study thermodynamic properties when both electric and magnetic modulations are present. The Weiss-type oscillations still exist when the modulations are out-of-phase.

  10. Introduction to the Buildings Sector Module of SEDS

    SciTech Connect (OSTI)

    DeForest, Nicholas; Bonnet, Florence; Stadler, Michael; Marnay, Chris

    2010-12-31T23:59:59.000Z

    SEDS is a stochastic engineering-economics model that forecasts economy-wide energy consumption in the U.S. to 2050. It is the product of multi-laboratory collaboration among the National Renewable Energy Laboratory (NREL), Pacific Northwest National Laboratory (PNNL), Argonne National Laboratory (ANL), Lawrence Berkeley National Laboratory (LBNL), and Lumina Decision Systems. Among national energy models, SEDS is unique, as it is the only model written to explicitly incorporate uncertainty in its inputs and outputs. The primary purpose of SEDS is to estimate the impact of various US Department of Energy (DOE)R&D and policy programs on the performance and subsequent adoption rates of technologies relating to every energy consuming sector of the economy (shown below). It has previously been used to assist DOE in complying with the Government Performance and Results Act of 1993 (GPRA). The focus of LBNL research has been exclusively on develop the buildings model (SBEAM), which is capable of running as a stand-alone forecasting model, or as a part of SEDS as a whole. The full version of SEDS, containing all sectors and interaction is also called the 'integrated' version and is managed by NREL. Forecasts from SEDS are often compared to those coming from National Energy Modeling System (NEMS). The intention of this document is to present new users and developers with a general description of the purpose, functionality and structure of the buildings module within the Stochastic Energy Deployment System (SEDS). The Buildings module, which is capable of running as a standalone model, is also called the Stochastic Buildings Energy and Adoption Model (SBEAM). This document will focus exclusively on SBEAM and its interaction with other major sector modules present within SEDS. The methodologies and major assumptions employed in SBEAM will also be discussed. The organization of this report will parallel the organization of the model itself, being divided into major submodules. As the description progresses, the nature of modules will change from broad, easily understood concepts to lower-level data manipulation. Because SBEAM contains dozens of submodules and hundreds of variables, it would not be relevant or useful to describe each and every one. Rather, the investigation will focus more generally on the operations performed throughout the model. This manual is by no means a complete description of SBEAM; however it should provide the foundation for an introductory understanding of the model. The manual assumes a basic level of understating of Analytica{reg_sign}, the platform on which SEDS and SBEAM have been developed.

  11. Estimation of the electron density and radiative energy losses in a calcium plasma source based on an electron cyclotron resonance discharge

    SciTech Connect (OSTI)

    Potanin, E. P., E-mail: potanin@imp.kiae.ru; Ustinov, A. L. [National Research Centre Kurchatov Institute (Russian Federation)

    2013-06-15T23:59:59.000Z

    The parameters of a calcium plasma source based on an electron cyclotron resonance (ECR) discharge were calculated. The analysis was performed as applied to an ion cyclotron resonance system designed for separation of calcium isotopes. The plasma electrons in the source were heated by gyrotron microwave radiation in the zone of the inhomogeneous magnetic field. It was assumed that, in such a combined trap, the energy of the extraordinary microwave propagating from the high-field side was initially transferred to a small group of resonance electrons. As a result, two electron components with different transverse temperatures-the hot resonance component and the cold nonresonance component-were created in the plasma. The longitudinal temperatures of both components were assumed to be equal. The entire discharge space was divided into a narrow ECR zone, where resonance electrons acquired transverse energy, and the region of the discharge itself, where the gas was ionized. The transverse energy of resonance electrons was calculated by solving the equations for electron motion in an inhomogeneous magnetic field. Using the law of energy conservation and the balance condition for the number of hot electrons entering the discharge zone and cooled due to ionization and elastic collisions, the density of hot electrons was estimated and the dependence of the longitudinal temperature T{sub e Parallel-To} of the main (cold) electron component on the energy fraction {beta} lost for radiation was obtained.

  12. PDSF Modules

    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),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizing I/OP-GlycoproteinInteractive BatchPDSF

  13. Estimation of the breakup cross sections in $^6$He+$^{12}$C reaction within high-energy approximation and microscopic optical potential

    E-Print Network [OSTI]

    E. V. Zemlyanaya; V. K. Lukyanov; K. V. Lukyanov

    2010-12-06T23:59:59.000Z

    The breakup cross sections in the reaction $^6$He+$^{12}$C are calculated at about 40 MeV/nucleon using the high-energy approximation (HEA) and with the help of microscopic optical potentials (OP) of interaction with the target nucleus $^{12}$C of the projectile nucleus fragments $^4$He and 2n. Considering the di-neutron $h$=2n as a single particle the relative motion $h\\alpha$ wave function is estimated so that to explain both the separation energy of $h$ in $^6$He and the rms radius of the latter. The stripping and absorbtion total cross sections are calculated and their sum is compared with the total reaction cross section obtained within a double-folding microscopic OP for the $^6$He+$^{12}$C scattering. It is concluded that the breakup cross sections contribute in about 50% of the total reaction cross section.

  14. Development and application of a procedure to estimate overall building and ventilation parameters from monitored commercial building energy use

    E-Print Network [OSTI]

    Deng, Song Jiu

    1997-01-01T23:59:59.000Z

    systems were analyzed for the BUS building. . . . . . . . . . 69 5. 7 Monthly average of energy use for the BUS building pre and post retrofit. . . . 69 5. 8 Monthly EDE for for the BUS building pre and post retrofit. . . . 71 5. 9 Monthly MEIc and MEIh... of energy use for the CSB pre and post continuous commissioning. . 74 5. 12 Monthly EDE for for the CSB building pre and post continuous commissioning. . 77 5. 13 Monthly MEIc and MEIh for the CSB pre and post continuous commissioning. . 77 LIST...

  15. Cost Estimator

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

  16. Approved Module Information for CS4670, 2014/5 Module Title/Name: Software Process and Management Module Code: CS4670

    E-Print Network [OSTI]

    Neirotti, Juan Pablo

    control, assurance and management systems; quality models and metrics; software management ? testing management: software cost estimation, software, COCOMO model Quality management: nature of quality; qualityApproved Module Information for CS4670, 2014/5 Module Title/Name: Software Process and Management

  17. Materials, Modules, and Systems: An Atoms to Autos Approach to...

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

    of Thermal to Electrical Energy Conversion of High Temperature Skutterudite-Based Thermoelectric Modules Mechanical and Elastic Property Evaluation of n- and p-type Skutterudites...

  18. Wavelets, Self-organizing Maps and Artificial Neural Nets for Predicting Energy Use and Estimating Uncertainties in Energy Savings in Commercial Buildings

    E-Print Network [OSTI]

    Lei, Yafeng

    2010-01-14T23:59:59.000Z

    This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of the daily weather profiles...

  19. Simulation of household in-home and transportation energy use : an integrated behavioral model for estimating energy consumption at the neighborhood scale

    E-Print Network [OSTI]

    Yu, Feifei, S.M. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident ...

  20. Photovoltaic Energy Technology Module | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocusOskiPhilips Color Kinetics Jump to: navigation, search

  1. Biomass Energy Technology Module | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo Feng Bio JumpVentures JumpGermany:BigStates)World Bank

  2. Wind Energy Technology Module | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamson County,Bay, OR) Jump to:InformationTeachers Jump

  3. Development Status of The ILC Marx Modulator

    SciTech Connect (OSTI)

    Nguyen, M; Beukers, T.; Burkhart, C.; Larsen, R.; Olsen, J.; Tang, T.; /SLAC; ,

    2010-06-07T23:59:59.000Z

    The ILC Marx Modulator is under development as a lower cost alternative to the 'Baseline Conceptual Design' (BCD) klystron modulator. Construction of a prototype Marx is complete and testing is underway at SLAC. The Marx employs solid state elements, IGBTs and diodes, to control the charge, discharge and isolation of the modules. The prototype is based on a stack of sixteen modules, each initially charged to {approx}11 kV, which are arranged in a Marx topology. Initially, eleven modules combine to produce the 120 kV output pulse. The remaining modules are switched in after appropriate delays to compensate for the voltage droop that results from the discharge of the energy storage capacitors. Additional elements will further regulate the output voltage to {+-}0.5%. The Marx presents several advantages over the conventional klystron modulator designs. It is physically smaller; there is no pulse transformer (quite massive at these parameters) and the energy storage capacitor bank is quite small, owing to the active droop compensation. It is oil-free; voltage hold-off is achieved using air insulation. It is air cooled; the secondary air-water heat exchanger is physically isolated from the electronic components. This paper outlines the current developmental status of the prototype Marx. It presents a detailed electrical and mechanical description of the modulator and operational test results. It will discuss electrical efficiency measurements, fault testing, and output voltage regulation.

  4. Estimation of resources and reserves

    E-Print Network [OSTI]

    Massachusetts Institute of Technology. Energy Laboratory.

    1982-01-01T23:59:59.000Z

    This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

  5. Advanced silicon photonic modulators

    E-Print Network [OSTI]

    Sorace, Cheryl M

    2010-01-01T23:59:59.000Z

    Various electrical and optical schemes used in Mach-Zehnder (MZ) silicon plasma dispersion effect modulators are explored. A rib waveguide reverse biased silicon diode modulator is designed, tested and found to operate at ...

  6. Module Handbook Specialisation Photovoltaics

    E-Print Network [OSTI]

    Habel, Annegret

    Module Handbook Specialisation Photovoltaics 2nd Semester for the Master Programme REMA/EUREC Course 2008/2009 University of Northumbria Specialisation Provider: Photovoltaics #12;Specialisation Photovoltaics, University of Northumbria Module 1/Photovoltaics: PHOTOVOLTAIC CELL

  7. U.S. Energy Information Administration | Annual Energy Outlook...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration | Annual Energy Outlook 2011 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office...

  8. U.S. Energy Information Administration | Annual Energy Outlook...

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

    Energy Information Administration | Annual Energy Outlook 2013 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office...

  9. Modulating lignin in plants

    DOE Patents [OSTI]

    Apuya, Nestor; Bobzin, Steven Craig; Okamuro, Jack; Zhang, Ke

    2013-01-29T23:59:59.000Z

    Materials and methods for modulating (e.g., increasing or decreasing) lignin content in plants are disclosed. For example, nucleic acids encoding lignin-modulating polypeptides are disclosed as well as methods for using such nucleic acids to generate transgenic plants having a modulated lignin content.

  10. FACULTY OF ENGINEERING MODULE DESCRIPTION FORM

    E-Print Network [OSTI]

    Mottram, Nigel

    Engineering and coastal processes 2. Wave Kinematics; linear wave theory 3. Wave Dynamics; wave transformation: 5 Prerequisites: Water Engineering 2 Module Format and Delivery (hours): Lecture Tutorial in coastal management. Ability to use data sources to assess wave conditions, estimate tidal streams

  11. Project Profile: Sensible Heat, Direct, Dual-Media Thermal Energy...

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

    Sensible Heat, Direct, Dual-Media Thermal Energy Storage Module Project Profile: Sensible Heat, Direct, Dual-Media Thermal Energy Storage Module Acciona logo Acciona Solar, under...

  12. Search results | Department of Energy

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

    http:energy.goveereeducationdownloadswhats-cooking Download Photovoltaics and Solar Energy (2 Activities) This module addresses issues dealing with the energy from the...

  13. Thermal Modeling Studies for Active Storage Modules in the Calvert Cliffs ISFSI

    SciTech Connect (OSTI)

    Adkins, Harold E.; Fort, James A.; Suffield, Sarah R.; Cuta, Judith M.; Collins, Brian A.

    2013-06-14T23:59:59.000Z

    Temperature measurements obtained for two storage modules in the Calvert Cliffs Nuclear Power Station’s Independent Spent Fuel Storage Installation (ISFSI) as part of the Used Fuel Disposition Campaign of the Department of Energy (DOE) were used to perform validation and sensitivity studies on detailed computational fluid dynamics (CFD) models of the concrete storage modules, including the dry storage canister within the modules. The storage modules in the Calvert Cliffs Nuclear Power Station’s ISFSI are a site-specific version of the standard NUHOMS® HSM. The two modules inspected each contained a 24P DSC loaded with 24 CE 14x14 spent fuel assemblies. The thermal analysis was performed using the STAR-CCM+ package, and the models developed for the specific ISFSI modules yielded temperature predictions in actual storage conditions for the concrete structure, the DSC and its contents, including preliminary estimates of fuel cladding temperatures for the used nuclear fuel. The results of this work demonstrate that existing CFD modeling tools can be used to obtain reasonable and accurate detailed representations of spent fuel storage systems with realistic decay heat loadings when the model omits specific conservatisms and bounding assumptions normally used in design-basis and safety-basis calculations. This paper presents sensitivity studies on modeling detail (for the storage module and the DSC), boundary conditions, and decay heat load, to evaluate the effect of the modeling approach on predicted temperatures and temperature distributions. Because nearly all degradation mechanisms for materials and structures comprising dry storage and transportation systems are dependent on temperature, accurate characterization of local temperatures and temperature gradients that the various components of these systems will experience over the entire storage period has been identified as a primary requirement for evaluation of very long term storage of used nuclear fuel.

  14. Solar | Department of Energy

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

    collected and discuss what has happened in their stills. June 20, 2014 Photovoltaics and Solar Energy (2 Activities) This module addresses issues dealing with the energy from the...

  15. EIA model documentation: Electricity market module - electricity fuel dispatch

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

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

  16. Thermoelectrics Partnership: Automotive Thermoelectric Modules...

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

    Solution for Automotive Thermoelectric Modules Application Thermoelectrics Partnership: Automotive Thermoelectric Modules with Scalable Thermo- and Electro-Mechanical Interfaces...

  17. Education Toolbox Search | Department of Energy

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

    Module for Energy Education Find activities focused on renewable energy sources such as solar and wind. http:energy.goveereeducationdownloadsalternative-energy-sources-interd...

  18. Microscale autonomous sensor and communications module

    DOE Patents [OSTI]

    Okandan, Murat; Nielson, Gregory N

    2014-03-25T23:59:59.000Z

    Various technologies pertaining to a microscale autonomous sensor and communications module are described herein. Such a module includes a sensor that generates a sensor signal that is indicative of an environmental parameter. An integrated circuit receives the sensor signal and generates an output signal based at least in part upon the sensor signal. An optical emitter receives the output signal and generates an optical signal as a function of the output signal. An energy storage device is configured to provide power to at least the integrated circuit and the optical emitter, and wherein the module has a relatively small diameter and thickness.

  19. InAs quantum wire induced composition modulation in an In{sub 0.53}Ga{sub 0.37}Al{sub 0.10}As barrier layer grown on an InP substrate

    SciTech Connect (OSTI)

    Cui, K. [Department of Materials Science and Engineering, McMaster University, Hamilton, Ontario L8S 4L7 (Canada); Robinson, B. J. [Center for Emerging Device Technologies, McMaster University, Hamilton, Ontario L8S 4L7 (Canada); Thompson, D. A. [Center for Emerging Device Technologies, McMaster University, Hamilton, Ontario L8S 4L7 (Canada); Department of Engineering Physics, McMaster University, Hamilton, Ontario L8S 4L7 (Canada); Botton, G. A. [Department of Materials Science and Engineering, McMaster University, Hamilton, Ontario L8S 4L7 (Canada); Center for Emerging Device Technologies, McMaster University, Hamilton, Ontario L8S 4L7 (Canada)

    2010-08-15T23:59:59.000Z

    Composition modulations are observed by transmission electron microscopy in In{sub 0.53}Ga{sub 0.37}Al{sub 0.10}As barrier layers that overgrow both single- and multilayer InAs quantum wire structures grown on an InP substrate. Indium-rich (gallium-deficient) regions were observed in the region of the barrier layer lying directly above individual quantum wires, while indium-deficient (gallium-rich) regions were detected in the barrier above the gaps between adjacent underlying quantum wires. The magnitude of such modulation was typically 7% (atomic percent) for both indium and gallium as estimated from the energy dispersive x-ray analysis. The origin of such composition modulations was determined by modeling the chemical potential distribution for indium and gallium on the growth front of the barrier layer at the initial capping stage of the quantum wires with finite element simulations. It is found that the number and positions of the indium-rich regions are determined by the combined effects of strain and surface energy distributions on the barrier material capping the quantum wires. Moreover the estimated magnitudes of the composition modulation for both indium and gallium from the finite element models are in good agreement with the experimental observations. This method provides a simple way to understand the origin of, and to estimate the magnitude of the quantum wire-induced composition modulation in the barrier layer.

  20. Cavity enhanced terahertz modulation

    SciTech Connect (OSTI)

    Born, N., E-mail: norman.born@physik.uni-marburg.de [College of Optical Sciences, University of Arizona, 1630 E University Boulevard, Tucson, Arizona 85721 (United States); Faculty of Physics and Material Sciences Center, Philipps-Universität Marburg, Renthof 5, 35032 Marburg (Germany); Scheller, M.; Moloney, J. V. [College of Optical Sciences, University of Arizona, 1630 E University Boulevard, Tucson, Arizona 85721 (United States)] [College of Optical Sciences, University of Arizona, 1630 E University Boulevard, Tucson, Arizona 85721 (United States); Koch, M. [Faculty of Physics and Material Sciences Center, Philipps-Universität Marburg, Renthof 5, 35032 Marburg (Germany)] [Faculty of Physics and Material Sciences Center, Philipps-Universität Marburg, Renthof 5, 35032 Marburg (Germany)

    2014-03-10T23:59:59.000Z

    We present a versatile concept for all optical terahertz (THz) amplitude modulators based on a Fabry-Pérot semiconductor cavity design. Employing the high reflectivity of two parallel meta-surfaces allows for trapping selected THz photons within the cavity and thus only a weak optical modulation of the semiconductor absorbance is required to significantly damp the field within the cavity. The optical switching yields to modulation depths of more than 90% with insertion efficiencies of 80%.