National Library of Energy BETA

Sample records for analysis energy estimates

  1. 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 in fish energy density or percent lipids. Models that combined BIA measures with body mass for prediction

  2. Damping Estimation of Plates for Statistical Energy Analysis

    E-Print Network [OSTI]

    Vatti, Kranthi

    2011-06-01

    The Power Input Method (P.I.M.) and the Impulse Response Decay Method (I.R.D.M.) are used to evaluate how the accuracy of damping loss factor estimation for plates is affected with respect to various processing parameters, such as the frequency...

  3. 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.

    2012-03-01

    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.

  4. Cost Estimating, Analysis, and Standardization

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  5. Genome-scale estimate of the metabolic turnover of E. Coli from the energy balance analysis

    E-Print Network [OSTI]

    De Martino, Daniele

    2015-01-01

    In this article the notion of metabolic turnover is revisited in the light of recent results of out-of-equilibrium thermodynamics. By means of Monte Carlo methods we perform an exact uniform sampling of the steady state fluxes in a genome scale metabolic network of E Coli from which we infer the metabolites turnover times. However the latter are inferred from net fluxes, and we argue that this approximation is not valid for enzymes working nearby thermodynamic equilibrium. We recalculate turnover times from total fluxes by performing an energy balance analysis of the network and recurring to the fluctuation theorem. We find in many cases values one of order of magnitude lower, implying a faster picture of intermediate metabolism.

  6. DAMPING ESTIMATION OF PLATES JOINED AT A POINT USING STATISTICAL ENERGY ANALYSIS

    E-Print Network [OSTI]

    Katipally, Akhilesh Chandra Reddy

    2011-08-31

    investigated for 3 different levels of damping. Possible reasons for the occurrence of negative coupling loss factor estimations using the T.S.E.A. method have been discovered to be the flexibility of the joint between the plates and the frequency resolution...

  7. 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...

  8. State Energy Production Estimates

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AG Oil10:Price andEnergy

  9. Estimating the Energy, Demand and Cost Savings from a Geothermal Heat Pump ESPC Project at Fort Polk, LA Through Utility Bill Analysis.

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick

    2006-01-01

    Energy savings performance contracts (ESPCs) are a method of financing energy conservation projects using the energy cost savings generated by the conservation measures themselves. Ideally, reduced energy costs are visible as reduced utility bills, but in fact this is not always the case. On large military bases, for example, a single electric meter typically covers hundreds of individual buildings. Savings from an ESPC involving only a small number of these buildings will have little effect on the overall utility bill. In fact, changes in mission, occupancy, and energy prices could cause substantial increases in utility bills. For this reason, other, more practical, methods have been developed to measure and verify savings in ESPC projects. Nevertheless, increasing utility bills--when ESPCs are expected to be reducing them--are problematic and can lead some observers to question whether savings are actually being achieved. In this paper, the authors use utility bill analysis to determine energy, demand, and cost savings from an ESPC project that installed geothermal heat pumps in the family housing areas of the military base at Fort Polk, Louisiana. The savings estimates for the first year after the retrofits were found to be in substantial agreement with previous estimates that were based on submetered data. However, the utility bills also show that electrical use tended to increase as time went on. Since other data show that the energy use in family housing has remained about the same over the period, the authors conclude that the savings from the ESPC have persisted, and increases in electrical use must be due to loads unassociated with family housing. This shows that under certain circumstances, and with the proper analysis, utility bills can be used to estimate savings from ESPC projects. However, these circumstances are rare and over time the comparison may be invalidated by increases in energy use in areas unaffected by the ESPC.

  10. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

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

    2011-03-10

    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.

  11. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    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.

  12. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  13. Robustness analysis of linear estimators 

    E-Print Network [OSTI]

    Tayade, Rajeshwary

    2004-09-30

    . Conditional Maximum Likelihood, i.e. given that the conditional probability function p(yjx) is known, find x such that p(y0jx) is maximum for a particular observation y0. Thus we can have estimators that minimize the average cost, or minimizes the max- imum... as the particle moves from t0 to t is given by s = Z t t0 jx0(t)jdt (2.2) Here we have an expression for s as a function of t : s = f(t). To show that s is a regular parameter, we note that this function is also analytic. Differentiating equation 2.2 we have, ds...

  14. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    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.

  15. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    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.

  16. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    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.

  17. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    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.

  18. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    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.

  19. Energy Analysis

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    Students use graphs of historical data and research historical and societal events to determine and analyze energy trends in the United States over the past 50 years.

  20. Empowering Developers to Estimate App Energy Consumption

    E-Print Network [OSTI]

    Shihada, Basem

    are not even aware of the amount of energy their app consumes un- der a typical usage pattern. While they couldEmpowering Developers to Estimate App Energy Consumption Radhika Mittal , Aman Kansal , Ranveer on mobile devices. However, it is difficult for app developers to mea- sure the energy used by their apps

  1. Sandia Energy - Uncertainty Analysis

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

    Uncertainty Analysis Home Stationary Power Nuclear Fuel Cycle Nuclear Energy Safety Technologies Risk and Safety Assessment Uncertainty Analysis Uncertainty AnalysisTara...

  2. Energy Expenditure Estimation DEMO Application

    E-Print Network [OSTI]

    Lu?trek, Mitja

    embedded in a smart phone carried in the user's pocket. Both systems use machine learning for the energy energy expenditure, physical activity, wearable sen- sors, embedded smart phone sensors, smart phone for a quick and smart solution. To motivate people to increase their physical activity, it is important

  3. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    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.

  4. ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS

    E-Print Network [OSTI]

    by assumptions related to economic growth, changes in electricity and natural gas rates, and a host of inputs Manager DEMAND ANALYSIS OFFICE Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION's demand forecast. #12;2 utility level.4 AAEE electricity savings were estimated for the Pacific Gas

  5. Energy Savings Estimates of Light Emitting Diodes

    Broader source: Energy.gov [DOE]

    This report is an analysis of niche markets and applications for light emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy

  6. Energy savings estimates and cost benefit calculations for high...

    Office of Scientific and Technical Information (OSTI)

    Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost...

  7. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...

  8. A Sensitivity Analysis of a Thin Film Conductivity Estimation...

    Office of Scientific and Technical Information (OSTI)

    Conference: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method Citation Details In-Document Search Title: A Sensitivity Analysis of a Thin Film Conductivity...

  9. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

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

    2011-11-09

    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.

  10. Estimating energy-augmenting technological change in developing country industries

    E-Print Network [OSTI]

    Sanstad, Alan H.; Roy, Joyashree; Sathaye, Jayant A.

    2006-01-01

    Productivity trends in India's energy-intensive industries,estimates. However, in India, the energy trend is negativefor several energy-intensive industries in India and South

  11. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    - Carl Imhoff, PNNL More Documents & Publications Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations Estimating the...

  12. Estimating Appliance and Home Electronic Energy Use | Department...

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

    how much electricity your appliances and home electronics use: The Energy Guide Label, which shows the estimated yearly operating cost and estimated yearly electricity use...

  13. Estimation and Analysis of Life Cycle Costs of Baseline Enhanced...

    Open Energy Info (EERE)

    Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal Systems Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title...

  14. Sandia Energy - Modeling & Analysis

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

    Center (PV RTC), Photovoltaic Systems Evaluation Laboratory (PSEL), Renewable Energy, SMART Grid, Solar, Solar Newsletter, SunShot, Systems Analysis, Systems...

  15. Sandia Energy - Analysis

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

    Climate Change Is the Subject of a New Book Analysis, Climate, Global Climate & Energy, Monitoring, News, News & Events, Sensing, Sensing & Monitoring, Water Security Climate...

  16. Development of the Potential Energy Savings Estimation (PESE) Toolkit 

    E-Print Network [OSTI]

    Liu, J.; Baltazar, J. C.; Claridge, D. E.

    2010-01-01

    This study has developed a prototype computer tool called the Potential Energy Savings Estimation (PESE) Toolkit. Baltazar’s methodology for potential energy savings estimation from EBCx/retrofit measures has been improved ...

  17. Energy Sector Market Analysis

    SciTech Connect (OSTI)

    Arent, D.; Benioff, R.; Mosey, G.; Bird, L.; Brown, J.; Brown, E.; Vimmerstedt, L.; Aabakken, J.; Parks, K.; Lapsa, M.; Davis, S.; Olszewski, M.; Cox, D.; McElhaney, K.; Hadley, S.; Hostick, D.; Nicholls, A.; McDonald, S.; Holloman, B.

    2006-10-01

    This paper presents the results of energy market analysis sponsored by the Department of Energy's (DOE) Weatherization and International Program (WIP) within the Office of Energy Efficiency and Renewable Energy (EERE). The analysis was conducted by a team of DOE laboratory experts from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL), and Pacific Northwest National Laboratory (PNNL), with additional input from Lawrence Berkeley National Laboratory (LBNL). The analysis was structured to identify those markets and niches where government can create the biggest impact by informing management decisions in the private and public sectors. The analysis identifies those markets and niches where opportunities exist for increasing energy efficiency and renewable energy use.

  18. Estimating the Benefits and Costs of Distributed Energy Technologies...

    Office of Environmental Management (EM)

    Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and...

  19. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...

  20. Estimating Appliance and Home Electronic Energy Use | Department...

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

    and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual...

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

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners and Technology #12;NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of Mixed System Air Conditioners combination, an empirically based calculation procedure may be used for estimating a unit's Energy Efficiency

  2. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01

    resource assessment and wind farm development in the UK. Inevaluation of oil spills and wind farms. Keywords: SAR; Winddata to characterize wind farms and their potential energy

  3. Energy savings estimates and cost benefit calculations for high performance relocatable classrooms

    E-Print Network [OSTI]

    Rainer, Leo I.; Hoeschele, Marc A.; Apte, Michael G.; Shendell, Derek G.; Fisk, William J.

    2003-01-01

    Energy Savings Estimates and Cost Benefit Calculations forEnergy Savings Estimates and Cost Benefit Calculations forEnergy Savings Estimates and Cost Benefit Calculations for

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

    E-Print Network [OSTI]

    furnace emissions to 2050. Despite insufficient variation in energy prices over the historical periodESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy

  5. Clean Energy Policy Analysis: Impact Analysis of Potential Clean...

    Energy Savers [EERE]

    Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative Clean Energy Policy Analysis: Impact Analysis of Potential...

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

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01

    24   Energy and Costsavings in Table 7: Annual energy and cost savings of waterwere used to derive energy and cost savings estimates:

  7. Estimating Appliance and Home Electronic Energy Use | Department...

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

    Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo...

  8. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications (EIA)

    1994-01-01

    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 U.S. economy. It presents estimates of 1991 and 1992 consumption.

  9. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    regional estimates. Ill Price projections, especially forE.I.A. average energy price projections (Series B) --Gascunder the EIA Medium Price Projections (December 17, 1973

  10. Sandia Energy - Transportation Energy Systems Analysis

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

    of energy sources and improved efficiency standards fit together into secure, robust, and sustainable solutions? Sandia's transportation energy analysis program is focused on...

  11. ESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS

    E-Print Network [OSTI]

    . Estimation of Woody Biomass Availability for Energy in Texas. College Station, TX: Texas Forest Service. 96 pESTIMATION OF WOODY BIOMASS AVAILABILITY FOR ENERGY IN TEXAS Prepared for Todd Staples Commissioner of Sustainable Forestry Division of Forest Resource Development & Sustainable Forestry Texas Forest Service

  12. Current work in energy analysis

    SciTech Connect (OSTI)

    1998-03-01

    This report describes the work performed at Berkeley Lab most recently. One of the Labs accomplishments is the publication of Scenarios of US Carbon Reductions, an analysis of the potential of energy technologies to reduce carbon emissions in the US. This analysis is described and played a key role in shaping the US position on climate change in the Kyoto Protocol negotiations. The Labs participation in the fundamental characterization of the climate change issue by the IPCC is described. Described also is a study of leaking electricity, which is stimulating an international campaign for a one-watt ceiling for standby electricity losses from appliances. This ceiling has the potential to save two-thirds of the 5% of US residential electricity currently expended on standby losses. The 54 vignettes contained in the report summarize results of research activities ranging in scale from calculating the efficacy of individual lamp ballasts to estimating the cost-effectiveness of the national Energy Star{reg_sign} labeling program, and ranging in location from a scoping study of energy-efficiency market transformation in California to development of an energy-efficiency project in the auto parts industry in Shandong Province, China.

  13. Hybrid Simulation Modeling to Estimate U.S. Energy Elasticities

    E-Print Network [OSTI]

    to Estimate U.S. Energy Elasticities Examining Committee: Chair: Jacob Fox Master of Resource Management energy efficiency index (AEEI) parameters. The ability of economies to reduce greenhouse gas emissions to calculate price- independent changes in energy-efficiency in the form of the AEEI, by comparing energy

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

    E-Print Network [OSTI]

    Kammen, Daniel M.

    of the Energy Development in Island Nations-U.S. Virgin Islands (EDIN-USVI) project. Department of Interior renewable energy projects within the Caribbean region. We present a model scenario where together energy Estimating the Potential Impact of Renewable Energy on the Caribbean Job Sector Rebekah Shirley

  15. AIAA-2003-0866 PROBABILISTIC ANALYSIS OF LIST DATA FOR THE ESTIMATION

    E-Print Network [OSTI]

    , ON N2L 3G1 Canada mdpandey@uwaterloo.ca H.J. Sutherland Wind Energy Technology Department SandiaAIAA-2003-0866 PROBABILISTIC ANALYSIS OF LIST DATA FOR THE ESTIMATION OF EXTREME DESIGN LOADS errors. Using measured inflow and structural data from the LIST program, this paper presents

  16. 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

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

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01

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

    E-Print Network [OSTI]

    Huang, Yi; Hua, Yingbo

    2011-01-01

    estimation in energy-constrained wireless sensor networks,”Hua, “Energy cost for estimation in multihop wireless sensorcomputing, and wireless communication. Although the energy

  19. Observability and Estimation Uncertainty Analysis for PMU Placement Alternatives

    E-Print Network [OSTI]

    Pollefeys, Marc

    Observability and Estimation Uncertainty Analysis for PMU Placement Alternatives Jinghe Zhang unit (PMU), developed in the 1980s, is considered to be one of the most important devices in the future of power systems. While PMU measurements currently cover fewer than 1% of the nodes in the U.S. power grid

  20. NREL: Energy Analysis: Geospatial Analysis

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

    energy infrastructure, demographics and land ownership, and the earth's physical geography (topography, land use, rivers). NREL's geographic information system models enable...

  1. Online Energy Estimation of Relational Operations in Database Systems

    E-Print Network [OSTI]

    Tu, Yicheng

    1 Online Energy Estimation of Relational Operations in Database Systems Zichen Xu # , Yi-Cheng Tu known to consume a large amount of energy. As databases are one of the major applications in a data center, building energy-aware database systems has become an active research topic recently

  2. Estimation of dibaryon (OO) yields at RHIC energies

    E-Print Network [OSTI]

    Zhong-Dao Lu

    2002-07-02

    The yields of dibaryon (Omega-Omega) in relativistic heavy ion collisions, especially at RHIC energies, are estimated by statistical model. The yields of hyperon Omega- and the ratio of dibaryon to Omega are also given.

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

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

    all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued The U.S. Energy Information Administration (EIA) has...

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

    E-Print Network [OSTI]

    , household energy demand, hybrid energy model, bottom-up energy model 1. Introduction: energy a variety of energyYeconomy models are available to forecast the effectiveness of energy and envi- ronmentEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

  5. Derived annual estimates of manufacturing energy consumption, 1974--1988

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, ``purchased`` energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census`s Annual Survey of Manufactures (ASM) and EIA`s Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as ``offsite-produced fuels.``

  6. Sandia Energy - Uncertainty Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel MagnetizationTransportation EnergyUncertainty Analysis Home

  7. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

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

    2014-05-14

    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.

  8. STATEWIDE ENERGY EFFICIENCY POTENTIAL ESTIMATES AND TARGETS

    E-Print Network [OSTI]

    rates of forecasted natural gas consumption, electricity consumption and peak electricity demand Kae C. Lewis Project Manager Sylvia Bender Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B potential for electric consumption savings, 85 percent of the economic potential for peak demand savings

  9. NREL: Energy Analysis: Geospatial Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on771/6/14RecentGeospatial Analysis To perform and support geospatial

  10. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Annual Incremental Energy and Capacity Savings from Passivein incremental annual energy and capacity savings of 3.1 Xand estimated energy and capacity savings for each.

  11. Energy, Environmental & Economic Systems Analysis

    E-Print Network [OSTI]

    Energy, Environmental & Economic Systems Analysis ENPEP-BALANCE: A Tool for Long-term Nuclear Power Market Simulations Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic Systems Analysis A resurgence of interest in nuclear energy is taking place

  12. Measurement Aggregation and Routing Techniques for Energy-Efficient Estimation

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Measurement Aggregation and Routing Techniques for Energy-Efficient Estimation in Wireless Sensor measurements. Mecha- nisms that efficiently compress and transport sensor data in the network are needed. We network lifetime. Sensor spatial correlation, measurement accuracies, link qualities and energy reserves

  13. An Improved Virial Estimate of Solar Active Region Energy

    E-Print Network [OSTI]

    M. S. Wheatland; T. R. Metcalf

    2005-09-21

    The MHD virial theorem may be used to estimate the magnetic energy of active regions based on vector magnetic fields measured at the photosphere or chromosphere. However, the virial estimate depends on the measured vector magnetic field being force-free. Departure from force-freeness leads to an unknown systematic error in the virial energy estimate, and an origin dependence of the result. We present a method for estimating the systematic error by assuming that magnetic forces are confined to a thin layer near the photosphere. If vector magnetic field measurements are available at two levels in the low atmosphere (e.g. the photosphere and the chromosphere), the systematic error may be directly calculated using the observed horizontal and vertical field gradients, resulting in an energy estimate which is independent of the choice of origin. If (as is generally the case) measurements are available at only one level, the systematic error may be approximated using the observed horizontal field gradients together with a simple linear force-free model for the vertical field gradients. The resulting `improved' virial energy estimate is independent of the choice of origin, but depends on the choice of the model for the vertical field gradients, i.e. the value of the linear force-free parameter $\\alpha$. This procedure is demonstrated for five vector magnetograms, including a chromospheric magnetogram.

  14. 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 Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13Renewable Power JumpForestWoodFuels LLCInterruption

  15. 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 QA:QA J-E-1 SECTION J APPENDIX E LISTStar Energy LLC JumpBiossenceBrunswick, Maine:IAEAT JumpCEECHO Invest EU1 JumpCHP

  16. NREL: Energy Analysis - Ben Maples

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

    Maples Photo of Ben Maples Ben Maples is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Engineer On staff since May...

  17. NREL: Energy Analysis - Jenny Melius

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

    of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Scientist II On staff since May 2011 Phone number: 303-275-4661 E-mail:...

  18. Analysis ? Targeting Zero Net Energy

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

    Analysis - Targeting Zero Net Energy 2014 Building Technologies Office Peer Review Scott Horowitz, scott.horowitz@nrel.gov NREL Project Summary Timeline: Start date: 2010 Planned...

  19. NREL: Energy Analysis - Mackay Miller

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

    and multilateral initiatives including the US-China Renewable Energy Partnership and 21st Century Power Partnership Quantitative social network analysis of innovation pathways...

  20. NREL: Energy Analysis - Energy Analysis Newsletter

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on771/6/14 Contact:NewsWebmasterWorkingElla Zhou Photo of Ella Energy

  1. Cities Leading through Energy Analysis and Planning

    Broader source: Energy.gov [DOE]

    The Cities Leading through Energy Analysis and Planning (Cities-LEAP) project delivers standardized, localized energy data and analysis that enables cities to lead clean energy innovation and...

  2. Energy Storage Testing and Analysis High Power and High Energy...

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

    Testing and Analysis High Power and High Energy Development Energy Storage Testing and Analysis High Power and High Energy Development 2009 DOE Hydrogen Program and Vehicle...

  3. An energy estimate for a perturbed Hasegawa--Mima equation

    E-Print Network [OSTI]

    Grauer, Rainer

    An energy estimate for a perturbed Hasegawa--Mima equation Rainer Grauer Institut f¨ur Theoretische transport at the plasma edge of a tokamak fusion reactor. A one­field equation describing the electrostatic potential fluctuations in this regime is the so­called Hasegawa--Mima equation. If this equation is driven

  4. Eigen-Inference for Energy Estimation of Multiple Sources

    E-Print Network [OSTI]

    1 Eigen-Inference for Energy Estimation of Multiple Sources Romain Couillet, Student Member, IEEE, the transmission policy in the secondary network can be accurately and dynamically adapted. An example of use on Flexible Radio, SUP´ELEC, Gif sur Yvette, 91192, Plateau de Moulon, 3, Rue Joliot- Curie, France e

  5. Local Behavior of Sparse Analysis Regularization: Applications to Risk Estimation

    E-Print Network [OSTI]

    Vaiter, Samuel; Peyré, Gabriel; Dossal, Charles; Fadili, Jalal

    2012-01-01

    This paper studies the recovery of an unknown signal $x_0$ from low dimensional noisy observations $y = \\Phi x_0 + w$, where $\\Phi$ is an ill-posed linear operator and $w$ accounts for some noise. We focus our attention to sparse analysis regularization. The recovery is performed by minimizing the sum of a quadratic data fidelity term and the $\\lun$-norm of the correlations between the sought after signal and atoms in a given (generally overcomplete) dictionary. The $\\lun$ prior is weighted by a regularization parameter $\\lambda > 0$ that accounts for the noise level. In this paper, we prove that minimizers of this problem are piecewise-affine functions of the observations $y$ and the regularization parameter $\\lambda$. As a byproduct, we exploit these properties to get an objectively guided choice of $\\lambda$. More precisely, we propose an extension of the Generalized Stein Unbiased Risk Estimator (GSURE) and show that it is an unbiased estimator of an appropriately defined risk. This encompasses special ca...

  6. Bayesian estimates of free energies from nonequilibrium work data in the presence of instrument noise

    E-Print Network [OSTI]

    Ritort, Felix

    Bayesian estimates of free energies from nonequilibrium work data in the presence of instrument equilibrium free energy differences to nonequilibrium measurements of the work. These relations extend a Bayesian formalism for estimating free energy changes from nonequilibrium work measurements

  7. High-Level Energy Estimation for ARM-Based SOCs

    E-Print Network [OSTI]

    Cotofana, Sorin

    -- In recent years, power consumption has become a critical concern for many VLSI systems. Whereas several case power consumption. Therefore, the energy-efficient design of portable, battery-powered systems demands and analysis tool for ARM based system-on-chip designs. The tool integrates the behavior and energy models

  8. Seismic Fragility Analysis and Loss Estimation for Concrete Structures 

    E-Print Network [OSTI]

    Bai, Jong Wha

    2012-02-14

    seismic vulnerability of concrete structures and effective in quantifying the uncertainties in the loss estimation process....

  9. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

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

    2013-06-01

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

  10. NREL: Energy Analysis - Karlynn Cory

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

    Report No. TP-6A20-53086. Cory, K.; Canavan, B.; Koenig, R. (2009). Power Purchase Agreement Checklist for State and Local Governments. Energy Analysis; Fact Sheet Series on...

  11. Building Energy Optimization Analysis Method (BEopt) - Building...

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

    Building Energy Optimization Analysis Method (BEopt) - Building America Top Innovation Building Energy Optimization Analysis Method (BEopt) - Building America Top Innovation House...

  12. Sandia Energy - Solar Glare Hazard Analysis Tool

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

    Solar Glare Hazard Analysis Tool Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics Solar Market Transformation Solar Glare Hazard Analysis Tool Solar...

  13. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

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

    2013-06-01

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

  14. Strategic Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-02-01

    NREL complements its scientific research with high-quality, credible, technology-neutral, objective analysis that informs policy and investment decisions as renewable energy and energy efficiency technologies move from innovation through integration. This sheet highlights NREL's analytical capabilities and achievements.

  15. Methodologies for Estimating Building Energy Savings Uncertainty: Review and Comparison 

    E-Print Network [OSTI]

    Baltazar, J.C.; Sun, Y.; Claridge, D.

    2014-01-01

    CONFERENCE FOR ENHANCED BUILDING OPERATIONS TSINGHUA UNIVERSITY – BEIJING, CHINA –SEPTEMBER 14 -17, 2014 Methodologies for Estimating Building Energy Savings Uncertainty: Review and Comparison Juan-Carlos Baltazar PhD, PE, Yifu Sun EIT, and David Claridge... PhD, P.E. International Conference for Enhanced Building Operations Tsinghua University – Beijing, China –September 14 -17, 2014 ESL-IC-14-09-11a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China...

  16. 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

    2005-09-16

    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.

  17. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

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

    2011-12-12

    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.

  18. Energy Literacy Video Analysis Guide | Department of Energy

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

    Energy Literacy Video Analysis Guide Energy Literacy Video Analysis Guide Below is information about the student activitylesson plan from your search. Grades K-12 Subject...

  19. NREL: Energy Analysis - News

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmaster ToEnergyBSM

  20. NREL: Energy Analysis - Partnerships

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmaster ToEnergyBSM

  1. NREL: Energy Analysis - Publications

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmaster ToEnergyBSMBookmark

  2. GAO Cost Estimating and Assessment Guide | Department of Energy

    Office of Environmental Management (EM)

    Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...

  3. 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.

    2012-10-01

    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.

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

    Open Energy Info (EERE)

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

  5. Estimating the Cost and Energy Efficiency of a Solar Water Heater...

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

    Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater March 2, 2015 - 3:09pm Addthis Solar water...

  6. 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 an estimation and simulation framework for energy efficient application design using platform FPGAs. This framework integrates various widely used simulators available for platform FPGAs, allows specification

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01

    This paper presents and evaluates an indirect data-driven method to estimate influential building parameters: air exchange rates and overall heat transfer coefficients of building envelopes from the separately metered energy use for electricity...

  8. Retrofit Energy Savings Estimation Model | 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 QA:QA J-E-1 SECTION J APPENDIX ECoop Inc Jump to:Newberg,EnergyEast Jump to: navigation,ReportVelho Energ tica S A

  9. Development of an energy-use estimation methodology for the revised Navy Manual MO-303

    SciTech Connect (OSTI)

    Richman, E.E.; Keller, J.M.; Wood, A.G.; Dittmer, A.L.

    1995-01-01

    The U.S. Navy commissioned Pacific Northwest Laboratory (PNL) to revise and/or update the Navy Utilities Targets Manual, NAVFAC MO-303 (U.S. Navy 1972b). The purpose of the project was to produce a current, applicable, and easy-to-use version of the manual for use by energy and facility engineers and staff at all Navy Public Works Centers (PWCs), Public Works Departments (PWDs), Engineering Field Divisions (EFDs), and other related organizations. The revision of the MO-303 manual involved developing a methodology for estimating energy consumption in buildings and ships. This methodology can account for, and equitably allocate, energy consumption within Navy installations. The analyses used to develop this methodology included developing end-use intensities (EUIs) from a vast collection of Navy base metering and billing data. A statistical analysis of the metering data, weather data, and building energy-use characteristics was used to develop appropriate EUI values for use at all Navy bases. A complete Navy base energy reconciliation process was also created for use in allocating all known energy consumption. Initial attempts to use total Navy base consumption values did not produce usable results. A parallel effort using individual building consumption data provided an estimating method that incorporated weather effects. This method produced a set of building EUI values and weather adjustments for use in estimating building energy use. A method of reconciling total site energy consumption was developed based on a {open_quotes}zero-sum{close_quotes} principle. This method provides a way to account for all energy use and apportion part or all of it to buildings and other energy uses when actual consumption is not known. The entire text of the manual was also revised to present a more easily read understood and usable document.

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

    SciTech Connect (OSTI)

    Mathew, Paul

    2008-10-01

    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.

  11. Sandia Energy - Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULI ProgramPhysical Society Names Four Sandians

  12. Sandia Energy - Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULI ProgramPhysical Society Names Four

  13. Sandia Energy - Systems Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput AnalysisSinkholeCapabilities General overview of the T3R2 device.

  14. Sandia Energy - Systems Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput AnalysisSinkholeCapabilities General overview of the T3R2 device.DETL

  15. Sandia Energy » Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput AnalysisSinkholeCapabilitiesThe Sandia-patentedcwdd Homesspope

  16. Sandia Energy - Systems Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel Magnetization andStochastic HomeSunShot HomeAnalysis Home

  17. Sandia Energy - Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >Scientific andInstituteAdvancedAdvancedAnalysis Home

  18. NREL: Energy Analysis - Staff

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmasterRelated Links

  19. NREL: Energy Analysis - Webmaster

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12

  20. Alternative energy estimation from the shower lateral distribution function

    E-Print Network [OSTI]

    De Souza, V; Brito, J; Dobrigkeit, C; Medina-Tanco, G; Souza, Vitor de; Escobar, Carlos O.; Brito, Joel; Dobrigkeit, Carola; Medina-Tanco, Gustavo

    2005-01-01

    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...

  1. RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits of Clean Energy Policies and Programs

    Broader source: Energy.gov [DOE]

    State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...

  2. Determination of uncertainty in reserves estimate from analysis of production decline data 

    E-Print Network [OSTI]

    Wang, Yuhong

    2007-09-17

    Analysts increasingly have used probabilistic approaches to evaluate the uncertainty in reserves estimates based on a decline curve analysis. This is because the results represent statistical analysis of historical data ...

  3. Using exploratory data analysis modified Box Plots to enhance Monte Carlo simulated Range Estimating Decision Technology 

    E-Print Network [OSTI]

    Clutter, David John

    1992-01-01

    REDT could potentially benefit in two ways. 1) An additional data analysis technique could help to further clarify an estimate improving its quality. 2) An additional analysis technique could provide additional information necessary for creating new...

  4. Estimations of total mass and energy of the universe

    E-Print Network [OSTI]

    Dimitar Valev

    2010-04-07

    The recent astronomical observations indicate that the expanding universe is homogeneous, isotropic and asymptotically flat. The Euclidean geometry of the universe enables to determine the total gravitational and kinetic energy of the universe by Newtonian gravity in a flat space. By dimensional analysis, we have found the mass of the universe close to the Hoyle-Carvalho formula M ~ c^3/(GH). This value is independent from the cosmological model and infers a size (radius) of the universe close to Hubble distance. It has been shown that almost the entire kinetic energy of the universe ensues from the cosmological expansion. Both, the total gravitational and kinetic energies of the universe have been determined in relation to an observer at an arbitrary location. The relativistic calculations for total kinetic energy have been made and the dark energy has been excluded from calculations. The total mechanical energy of the universe has been found close to zero, which is a remarkable result. This result supports the conjecture that the gravitational energy of the universe is approximately balanced with its kinetic energy of the expansion.

  5. Transportation Energy Futures Analysis Snapshot

    Broader source: Energy.gov [DOE]

    Transportation currently accounts for 71% of total U.S. petroleum use and 33% of the nation's total carbon emissions. The TEF project explores how combining multiple strategies could reduce GHG emissions and petroleum use by 80%. Researchers examined four key areas – lightduty vehicles, non-light-duty vehicles, fuels, and transportation demand – in the context of the marketplace, consumer behavior, industry capabilities, technology and the energy and transportation infrastructure. The TEF reports support DOE long-term planning. The reports provide analysis to inform decisions about transportation energy research investments, as well as the role of advanced transportation energy technologies and systems in the development of new physical, strategic, and policy alternatives.

  6. NANA Strategic Energy Plan & Energy Options Analysis

    SciTech Connect (OSTI)

    Jay Hermanson; Brian Yanity

    2008-12-31

    NANA Strategic Energy Plan summary NRC, as an Alaska Native Corporation, has committed to addressing the energy needs for its shareholders. The project framework calls for implicit involvement of the IRA Councils in the Steering Committee. Tribal Members, from the NRC to individual communities, will be involved in development of the NANA Energy Plan. NRC, as the lead tribal entity, will serve as the project director of the proposed effort. The NRC team has communicated with various governmental and policy stakeholders via meetings and discussions, including Denali Commission, Alaska Energy Authority, and other governmental stakeholders. Work sessions have been initiated with the Alaska Village Electric Cooperative, the NW Arctic Borough, and Kotzebue Electric Association. The NRC Strategic Energy Plan (SEP) Steering committee met monthly through April and May and weekly starting in June 2008 in preparation of the energy summit that was held from July 29-31, 2008. During preparations for the energy summit and afterwards, there was follow through and development of project concepts for consideration. The NANA regional energy summit was held from July 29-31, 2008, and brought together people from all communities of the Northwest Arctic Borough. The effort was planned in conjunction with the Alaska Energy Authority’s state-wide energy planning efforts. Over $80,000 in cash contributions was collected from various donors to assist with travel from communities and to develop the summit project. Available funding resources have been identified and requirements reviewed, including the Denali Commission, U.S. Dept. of Agriculture, and the Alaska Energy Authority. A component of the overall plan will be a discussion of energy funding and financing. There are current project concepts submitted, or are ready for submittal, in the region for the following areas: • Wind-diesel in Deering, Buckland, Noorik, and Kiana areas; potential development around Red Dog mine. • Biomass Feasibility analysis in the upper Kobuk; • Run of the river hydroelectric development for the Upper Kobuk; • Solar photovoltaic (PV) power demonstration projects for Noatak, Ambler, Selawik, Kiana, and Noorvik; • Heat Recovery for several communities; In September 2008, the NRC team participated at the Alaska Rural Energy Conference in Girdwood, Alaska In November 2008, the NRC team gave a presentation on the NANA regional energy plans at a DOE Tribal Energy Program conference in Denver, Colorado. In January 2009, the final SEP report was submitted to NRC.

  7. Thermodynamic Analysis for Energy Conservation 

    E-Print Network [OSTI]

    Kenney, W. F.

    1981-01-01

    This paper describes a methodology for performing a thermodynamic analysis of a process, and it demonstrates how such a study can be useful in identifying areas in the process with the greatest potential for improvement in energy use. The basis is a...

  8. THE VARIABILITY OF ESTIMATES OF VARIANCE, AND ITS EFFECT ON POWER ANALYSIS IN MONITORING DESIGN

    E-Print Network [OSTI]

    Burgman, Mark

    THE VARIABILITY OF ESTIMATES OF VARIANCE, AND ITS EFFECT ON POWER ANALYSIS IN MONITORING DESIGN; accepted 24 February 2001) Abstract. Power analysis can be a valuable aid in the design of monitoring% or more in 43% of cases, in turn leading to under or over-estimation of sample size in the design

  9. A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality

    E-Print Network [OSTI]

    A Simple Biomass-Based Length-Cohort Analysis for Estimating Biomass and Fishing Mortality CHANG IK, Washington 98115, USA Abstract.--A biomass-based length-cohort analysis (LCA) was examined for its performance in estimating total stock biomass and fishing mortality (F) for a population in equilibrium. We

  10. Quantitative Financial Analysis of Alternative Energy Efficiency Shareholder Incentive Mechanisms

    E-Print Network [OSTI]

    Cappers, Peter

    2010-01-01

    Analysis of Alternative Energy Efficiency ShareholderAnalysis of Alternative Energy Efficiency Shareholderof alternative shareholder incentive mechanisms for energy

  11. National Renewable Energy Laboratory Analysis Capabilities

    E-Print Network [OSTI]

    National Renewable Energy Laboratory Analysis Capabilities Overview The National Renewable Energy Laboratory (NREL) is the nation's primary laboratory for renewable energy and energy efficiency research and development (R&D). NREL

  12. NREL: Energy Analysis - About the Strategic Energy Analysis Center

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmaster ToEnergy Analysis

  13. Project Frog: Net Zero Energy Comparative Analysis

    E-Print Network [OSTI]

    Project Frog: Net Zero Energy Comparative Analysis Hawai`i Natural Energy Institute | School undertand how they perform. The net zero energy (NZE) platforms were installed as research prototypes, Kauai #12;Project Frog: Net Zero Energy Comparative Analysis Hawai`i Natural Energy Institute | School

  14. LEAN ENERGY ANALYSIS: IDENTIFYING, DISCOVERING AND TRACKING ENERGY SAVINGS POTENTIAL

    E-Print Network [OSTI]

    Kissock, Kelly

    LEAN ENERGY ANALYSIS: IDENTIFYING, DISCOVERING AND TRACKING ENERGY SAVINGS POTENTIAL KELLY KISSOCK DEPARTMENT OF MECHANICAL AND AEROSPACE ENGINEERING UNIVERSITY OF DAYTON DAYTON, OHIO JOHN SERYAK ENERGY AND RESOURCE SOLUTIONS HAVERHILL, MASSECHUTSETTS ABSTRACT Energy in manufacturing facilities is used for direct

  15. 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

  16. Sandia Energy - Transportation Energy Systems Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel MagnetizationTransportation Energy Home Analysis

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

    SciTech Connect (OSTI)

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

    1990-01-01

    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.

  18. Optimal estimation of free energies and stationary densities from multiple biased simulations

    E-Print Network [OSTI]

    Wu, Hao

    2013-01-01

    When studying high-dimensional dynamical systems such as macromolecules, quantum systems and polymers, a prime concern is the identification of the most probable states and their stationary probabilities or free energies. Often, these systems have metastable regions or phases, prohibiting to estimate the stationary probabilities by direct simulation. Efficient sampling methods such as umbrella sampling, metadynamics and conformational flooding have developed that perform a number of simulations where the system's potential is biased such as to accelerate the rare barrier crossing events. A joint free energy profile or stationary density can then be obtained from these biased simulations with weighted histogram analysis method (WHAM). This approach (a) requires a few essential order parameters to be defined in which the histogram is set up, and (b) assumes that each simulation is in global equilibrium. Both assumptions make the investigation of high-dimensional systems with previously unknown energy landscape ...

  19. A Proposed Method for Improving Residential Heating Energy Estimates Based on Billing Data 

    E-Print Network [OSTI]

    Lee, A. D.; Hadley, D. L.

    1988-01-01

    empirical energy consumption data, however, provide a basis for alternative ways to estimate program effects that utilize the empirical data. The PRISM methodology uses relatively inexpensive billing and weather data to estimate base and temperature...

  20. 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 ...

  1. Clean Energy Manufacturing Analysis Center (CEMAC)

    SciTech Connect (OSTI)

    2015-12-01

    The U.S. Department of Energy's Clean Energy Manufacturing Analysis Center (CEMAC) provides objective analysis and up-to-date data on global supply chains and manufacturing of clean energy technologies. Policymakers and industry leaders seek CEMAC insights to inform choices to promote economic growth and the transition to a clean energy economy.

  2. EnergyPlus Run Time Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01

    N ATIONAL L ABORATORY EnergyPlus Run Time Analysis Tianzhenl y s i s Development of EnergyPlus for Use in Title 24 andCommission Staff Use of EnergyPlus Deliverable for Task

  3. Cosmographic analysis of dark energy

    E-Print Network [OSTI]

    Visser, Matt

    2009-01-01

    The Hubble relation between distance and redshift is a purely cosmographic relation that depends only on the symmetries of a FLRW spacetime, but does not intrinsically make any dynamical assumptions. This suggests that it should be possible to estimate the parameters defining the Hubble relation without making any dynamical assumptions. To test this idea, we perform a number of inter-related cosmographic fits to the legacy05 and gold06 supernova datasets, paying careful attention to the systematic uncertainties. Based on this supernova data, the "preponderance of evidence" certainly suggests an accelerating universe. However we would argue that (unless one uses additional dynamical and observational information, and makes additional theoretical assumptions) this conclusion is not currently supported "beyond reasonable doubt". As part of the analysis we develop two particularly transparent graphical representations of the redshift-distance relation -- representations in which acceleration versus deceleration r...

  4. Using Decline Curve Analysis, Volumetric Analysis, and Bayesian Methodology to Quantify Uncertainty in Shale Gas Reserve Estimates 

    E-Print Network [OSTI]

    Gonzalez Jimenez, Raul 1988-

    2012-11-30

    Probabilistic decline curve analysis (PDCA) methods have been developed to quantify uncertainty in production forecasts and reserves estimates. However, the application of PDCA in shale gas reservoirs is relatively new. Limited work has been done...

  5. EAC: A Compiler Framework for High-Level Energy Estimation and Optimization

    E-Print Network [OSTI]

    Sivasubramaniam, Anand

    only evaluate a small number of alternative optimiza- tion strategies, the energy estimation processEAC: A Compiler Framework for High-Level Energy Estimation and Optimization I. Kadayif, M. Kandemir University University Park, PA, 16802, USA Abstract This paper presents a novel Energy-Aware Compilation (EAC

  6. An Estimate of Tidal Energy Lost to Turbulence at the Hawaiian Ridge JODY M. KLYMAK

    E-Print Network [OSTI]

    Balasubramanian, Ravi

    An Estimate of Tidal Energy Lost to Turbulence at the Hawaiian Ridge JODY M. KLYMAK Scripps an estimate of 3 1.5 GW of tidal energy lost to turbulence dissipation within 60 km of the ridge and Toole 1997). Another closely related question is that of where tidal energy gets removed from the ocean

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

    E-Print Network [OSTI]

    Klymak, Jody M.

    JULY 2005 1 An estimate of tidal energy lost to turbulence at the Hawaiian Ridge JODY M. KLYMAK1 of the ridge, giving an estimate of 3±1.5 GW of tidal energy lost to turbulence dissipation within 60 km relation- ship between the energy in the semi-diurnal internal tide (E) and the depth

  8. Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor

    E-Print Network [OSTI]

    Teneketzis, Demosthenis

    1 Optimal Strategies for Communication and Remote Estimation with an Energy Harvesting Sensor A strategies. Communication problems with energy harvesting transmitters have been studied recently (see [1 with an energy harvesting sensor and a remote estimator. The sensor observes the state of a discrete-time source

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

    E-Print Network [OSTI]

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

  10. 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

  11. 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

  12. Calibrating acoustic acceleration transmitters for estimating energy use by wild adult Pacific salmon

    E-Print Network [OSTI]

    Hinch, Scott G.

    and estimate energy consumption of adult Pacific salmon throughout their homeward spawning migration. © 2012 successfully used as a proxy for energy use in fish, with tailbeat frequency (TBF) (e.g. Brett, 1965, 1995Calibrating acoustic acceleration transmitters for estimating energy use by wild adult Pacific

  13. Analysis of Scattered Signal to Estimate Reservoir Fracture Parameters

    E-Print Network [OSTI]

    Grandi, Samantha K.

    We detect fracture corridors and determine their orientation and average spacing based on an analysis of seismic coda in the frequency-wave number (f-k ) domain. Fracture corridors have dimensions similar to seismic ...

  14. Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program

    SciTech Connect (OSTI)

    Belzer, D.; Mosey, G.; Plympton, P.; Dagher, L.

    2007-07-01

    Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As one of HPwES's local sponsors, Austin Energy's HPwES program offers a complete home energy analysis and a list of recommendations for efficiency improvements, along with cost estimates. To determine the benefits of this program, the National Renewable Energy Laboratory (NREL) collaborated with the Pacific Northwest National Laboratory (PNNL) to conduct a statistical analysis using energy consumption data of HPwES homes provided by Austin Energy. This report provides preliminary estimates of average savings per home from the HPwES Loan Program for the period 1998 through 2006. The results from this preliminary analysis suggest that the HPwES program sponsored by Austin Energy had a very significant impact on reducing average cooling electricity for participating households. Overall, average savings were in the range of 25%-35%, and appear to be robust under various criteria for the number of households included in the analysis.

  15. Current Work in Energy Analysis (Energy Analysis Program -1996 Annual Report)

    SciTech Connect (OSTI)

    Energy Analysis Program

    1998-03-01

    This report describes the work that Environmental Energy Technologies Division of Lawrence Berkeley National Laboratory has been doing most recently. One of our proudest accomplishments is the publication of Scenarios of U.S. Carbon Reductions, an analysis of the potential of energy technologies to reduce carbon emissions in the U.S. This analysis played a key role in shaping the U.S. position on climate change in the Kyoto Protocol negotiations. Our participation in the fundamental characterization of the climate change issue by the IPCC is described. We are also especially proud of our study of ''leaking electricity,'' which is stimulating an international campaign for a one-watt ceiling for standby electricity losses from appliances. This ceiling has the potential to save two-thirds of the 5% of U.S. residential electricity currently expended on standby losses. The 54 vignettes contained in the following pages summarize results of research. activities ranging in scale from calculating the efficacy of individual lamp ballasts to estimating the cost-effectiveness of the national ENERGY STAR{reg_sign} labeling program, and ranging in location from a scoping study of energy-efficiency market transformation in California to development of an energy-efficiency project in the auto parts industry in Shandong Province, China. These are the intellectual endeavors of a talented team of researchers dedicated to public service.

  16. Energy Use Analysis for the Federal Energy Management Program 

    E-Print Network [OSTI]

    Mazzucchi, R. P.; Devine, K. D.

    1988-01-01

    -efficient, the Federal Energy Management Program (FEMP) endeavors to improve the technical basis for such performance-based contracting. Specific tasks include the development of improved energy use baselining methods, refinement of a simplified energy analysis method...

  17. Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Subia, Samuel Ramirez; Neckels, David; Hopkins, Matthew Morgan; Notz, Patrick K.; Adams, Brian M.; Carnes, Brian; Wittwer, Jonathan W.; Bichon, Barron J.; Copps, Kevin D.

    2006-10-01

    This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient.

  18. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    development facilities. OUTPUT METHODOLOGY Energy supplyscenario Energy supply planning model Construction andmodified version of the Energy Supply Planning Model (ESPM)

  19. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    Evaluating Building Energy Performance Standards." Presentedof proposed building energy performance standards," Battelleof Proposed Building Energy Performance Standards," PNL-

  20. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    Summer Study on Energy Efficiency in Buildings. LBNL (2012).Summer Study on Energy Efficiency in Buildings. UNEP (2009).Standard for Energy Efficiency of Public Buildings. Energy

  1. Efficient Peak Power Estimation using Probabilistic Cost-Benefit Analysis

    E-Print Network [OSTI]

    Mishra, Prabhat

    unreliable and vulnerable to power attacks, whereas pessimistic design can lead to unacceptable de- sign overhead. The power virus problem is defined as finding input patterns that can maximize switching activity power virus generation technique utilizing a probabilistic cost-benefit analysis. To maximize switching

  2. NEW ESTIMATES IN HARMONIC ANALYSIS FOR MIXED LEBESGUE SPACES

    E-Print Network [OSTI]

    Ward, Erika L.

    2010-07-16

    jf jjp ! 1=p Lq1=pLq2=p jjUjj1=pLs3Ls4 sup jjujjLs1 Ls2 1 C j jf jjp !1=p Lq1Lq2 jjUjj1=pLs3Ls4 C jjf jjp 1=p Lq 1 Lq2 with the final lines by H¨older’s inequality (note... jf j(t;x)jr 1=r L1Lq with the third line by the Fefferman-Stein inequality in Rn+1. To estimate II consider H0(t)= Fj(t;x)cj(t) where Fj = 1jQ jj Z Q j F(t)dx = 1 jQ jj Z Q j fk(t;x)dt ¥ k=1 and note that H0 0 on Rnn[Q j and H0(t)= ( j 1...

  3. 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 calculations of the electronic energy of the ground state of the water molecule yield energies lower than those for the electronic energy of the ground state of the water molecule. The energy given by a fixed-node quantum Monte

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

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

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

  5. Estimating energy-augmenting technological change in developing country industries

    E-Print Network [OSTI]

    Sanstad, Alan H.; Roy, Joyashree; Sathaye, Jayant A.

    2006-01-01

    trend due to the constant energy price bias assumption. ThisIndian industries, Energy price bias (standard error)industries, 1980–1997 Energy price bias (standard error)

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

    Office of Environmental Management (EM)

    STRATEGIC ENERGY PLANNING 2015 Bethel, Dillingham and Juneau Presented by the National Renewable Energy Laboratory What is Strategic Energy Planning * Stakeholder Inclusivity *...

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

    Energy Savers [EERE]

    of Indian Energy Goals and Objectives * Promote Indian tribal energy development, efficiency and use * Reduce or stabilize energy costs * Enhance and strengthen Indian tribal...

  8. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  9. Bottom-Up Energy Analysis System - Methodology and Results

    E-Print Network [OSTI]

    McNeil, Michael A.

    2013-01-01

    consumer energy expenditures. Direct rebound effects referimpact on estimates of energy demand and savings. ReboundRebound effects’ refers to the increase in usage of energy

  10. 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 ...

  11. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    factors (chilled water), and energy efficiency ratios. TotalEnergy Rate Solar Hot Water Energy Rate Domestric HW EnergyGas  Oil  Renewable energy  Water  Cooling and heating loads

  12. Wave Energy Resource Analysis for Use in Wave Energy Conversion 

    E-Print Network [OSTI]

    Pastor, J.; Liu, Y.; Dou, Y.

    2014-01-01

    In order to predict the response of wave energy converters an accurate representation of the wave climate resource is crucial. This paper gives an overview of wave resource modeling techniques as well as detailing a methodology for estimating...

  13. Spectroscopic and Photometric Observations of SN IIn 1995N and Energy Estimates

    E-Print Network [OSTI]

    Aretxaga, Itziar

    Spectroscopic and Photometric Observations of SN IIn 1995N and Energy Estimates A. Pastorello INAF--ray wavelengths to the radio, and allow to estimate the total energy radiated by the supernova over a decade after--collapse explosions. However, recently, some authors proposed that also thermonuclear SNe may explode within a H

  14. A Censoring Strategy for Decentralized Estimation in Energy-Constrained Adaptive Diffusion Networks

    E-Print Network [OSTI]

    Leus, Geert

    A Censoring Strategy for Decentralized Estimation in Energy-Constrained Adaptive Diffusion Networks.j.t.leus}@tudelft.nl Abstract--This paper presents a censoring strategy for dis- tributed estimation over adaptive networks in scenarios where energy resources are limited. Sensors apply selective communi- cation policies in order

  15. Transmit Rate Control for Energy-efficient Estimation in Wireless Sensor Networks

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    Transmit Rate Control for Energy-efficient Estimation in Wireless Sensor Networks Iordanis (PHY) trans- mit rate control on energy efficient estimation in wireless sensor networks. A sensor network collects measurements and transmits them to a Fusion Center (FC) with controllable PHY

  16. San Carlos Apache Tribe - Energy Organizational Analysis

    SciTech Connect (OSTI)

    Rapp, James; Albert, Steve

    2012-04-01

    The San Carlos Apache Tribe (SCAT) was awarded $164,000 in late-2011 by the U.S. Department of Energy (U.S. DOE) Tribal Energy Program's "First Steps Toward Developing Renewable Energy and Energy Efficiency on Tribal Lands" Grant Program. This grant funded: ? The analysis and selection of preferred form(s) of tribal energy organization (this Energy Organization Analysis, hereinafter referred to as "EOA"). ? Start-up staffing and other costs associated with the Phase 1 SCAT energy organization. ? An intern program. ? Staff training. ? Tribal outreach and workshops regarding the new organization and SCAT energy programs and projects, including two annual tribal energy summits (2011 and 2012). This report documents the analysis and selection of preferred form(s) of a tribal energy organization.

  17. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    Bhandari. Comparison of Building Energy Use Data between theUnited States and China, Energy and Buildings, 2013. Underand Analytics to Inform Energy Retrofit of High Performance

  18. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    Local Population of Geothermal Energy Development in thethe foreseeable future. Geothermal Energy Development inof indigenous renewable and geothermal energy re- sources in

  19. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    methodology for building energy data definition, collection,analyze good building energy data to provide valuable and9  A Standard Building Energy Data 

  20. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    exchange of building energy performance data difficult.  understand  building  energy  performance  and  improve to understanding building energy performance and supporting 

  1. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    exchange of building energy performance data difficult.  understand  building  energy  performance  and  improve Reliable  Building  Energy  Performance Characterization 

  2. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    larger scale technologies such as wind energy conversion,of wind energy "farms" on Molokai with Oahd; new technologyTechnology characterizations for solar water heating, wind energy

  3. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    for geothermal energy, OTEC, solar thermal electricity andsolar thermal electric systems and geothermal energy. Solarsolar thermal electric plants, ocean thermal energy plants (

  4. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    United States and China, Energy and Buildings, 2013. Underin Singapore. Energy and Buildings, 37, 167-174. Eom, J. ,building operations. Energy and Buildings, 33, 783–791.

  5. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

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

    E-Print Network [OSTI]

    Alireza Shabani; Masoud Mohseni; Herschel Rabitz; Seth Lloyd

    2012-04-13

    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.

  7. Industrial Geospatial Analysis Tool for Energy Evaluation (IGATE-E)

    SciTech Connect (OSTI)

    Alkadi, Nasr E [ORNL] [ORNL; Starke, Michael R [ORNL] [ORNL; Ma, Ookie [DOE EERE] [DOE EERE; Nimbalkar, Sachin U [ORNL] [ORNL; Cox, Daryl [ORNL] [ORNL

    2013-01-01

    IGATE-E is an energy analysis tool for industrial energy evaluation. The tool applies statistical modeling to multiple publicly available datasets and provides information at the geospatial resolution of zip code using bottom up approaches. Within each zip code, the current version of the tool estimates electrical energy consumption of manufacturing industries based on each type of industries using DOE s Industrial Assessment Center database (IAC-DB) and DOE s Energy Information Administration Manufacturing Energy Consumption Survey database (EIA-MECS DB), in addition to other commercially available databases such as the Manufacturing News database (MNI, Inc.). Ongoing and future work include adding modules for the predictions of fuel energy consumption streams, manufacturing process steps energy consumption, major energy intensive processes (EIPs) within each industry type among other metrics of interest. The tool provides validation against DOE s EIA-MECS state level energy estimations and permits several statistical examinations. IGATE-E is intended to be a decision support and planning tool to a wide spectrum of energy analysts, researchers, government organizations, private consultants, industry partners, and alike.

  8. Strategic Energy Analysis at NREL (Presentation)

    SciTech Connect (OSTI)

    Arent, D. J.

    2007-11-01

    This presentation on strategic energy analysis at NREL was presented as part of NREL's Industry Growth Forum on in November 2007.

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

    E-Print Network [OSTI]

    Balasubramanian, Ravi

    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

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

    E-Print Network [OSTI]

    Luhua, Lai

    Estimating 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 free energy and the correct scoring in docking studies. We have developed a new solvation energy

  11. Estimating the Impact (Energy, Emissions and Economics) of the...

    Office of Scientific and Technical Information (OSTI)

    Org: Oak Ridge National Laboratory (ORNL) Sponsoring Org: EE USDOE - Office of Energy Efficiency and Renewable Energy (EE) Country of Publication: United States Language:...

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

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01

    California Energy Demand 2010-2020: Adopted Forecast. CEC-energy infrastructure. Franco and Sanstad (2006) provide an overview and a methodology for demand forecasts

  13. Estimating material and energy intensities of urban areas

    E-Print Network [OSTI]

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

    2012-01-01

    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 ...

  14. Annual Energy Consumption Analysis Report for Richland Middle School

    SciTech Connect (OSTI)

    Liu, Bing

    2003-12-18

    Richland Middle School is a single story, 90,000 square feet new school located in Richland, WA. The design team proposed four HVAC system options to serve the building. The proposed HVAC systems are listed as following: (1) 4-pipe fan coil units served by electrical chiller and gas-fired boilers, (2) Ground-source closed water loop heat pumps with water loop heat pumps with boiler and cooling tower, and (3) VAV system served by electrical chiller and gas-fired boiler. This analysis estimates the annual energy consumptions and costs of each system option, in order to provide the design team with a reasonable basis for determining which system is most life-cycle cost effective. eQuest (version 3.37), a computer-based energy simulation program that uses the DOE-2 simulation engine, was used to estimate the annual energy costs.

  15. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    energy efficiency. Intelligent Buildings, 3:43-46, 2011. InM. Bhandari. Comparison of Building Energy Use Data betweenand China, Energy and Buildings, 2013. Under reviewed. 5. T.

  16. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    of 25 years energy demand forecasts, and for a preliminary13143) In addition, energy demand forecasts will be reviseddemand forecasts as well as severly limiting their utility in assessing impacts of energy

  17. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    of current energy use.3, Passive solar houses depend heavilypassive techniques in saving energy has been established in many demonstration houses.

  18. How to Estimate the Economic Impacts from Renewable Energy

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Technical Assistance Project (TAP) for state and local officials; Gail Mosey and Eric Lantz, National Renewable Energy Laboratory; Jobs and Economic Development Impacts (JEDI) Wind Model.

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

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01

    risk of climate change to the energy infrastructure, Natural Gas Facilities in the Delta There is one natural gas storage

  20. Cross-impacts analysis development and energy policy analysis applications

    SciTech Connect (OSTI)

    Roop, J.M.; Scheer, R.M.; Stacey, G.S.

    1986-12-01

    Purpose of this report is to describe the cross-impact analysis process and microcomputer software developed for the Office of Policy, Planning, and Analysis (PPA) of DOE. First introduced in 1968, cross-impact analysis is a technique that produces scenarios of future conditions and possibilities. Cross-impact analysis has several unique attributes that make it a tool worth examining, especially in the current climate when the outlook for the economy and several of the key energy markets is uncertain. Cross-impact analysis complements the econometric, engineering, systems dynamics, or trend approaches already in use at DOE. Cross-impact analysis produces self-consistent scenarios in the broadest sense and can include interaction between the economy, technology, society and the environment. Energy policy analyses that couple broad scenarios of the future with detailed forecasting can produce more powerful results than scenario analysis or forecasts can produce alone.

  1. ESTIMATING ENERGY SAVINGS IN COMPRESSED AIR SYSTEMS Chris Schmidt

    E-Print Network [OSTI]

    Kissock, Kelly

    energy savings must be calculated in order to justify the cost of implementing the savings opportunity. It is important to calculate projected energy and cost savings as accurately as possible. Unfortunately, savings is presented for modeling air compressor performance and calculating projected energy savings from easily

  2. Decision analysis for geothermal energy

    E-Print Network [OSTI]

    Yost, Keith A

    2012-01-01

    One of the key impediments to the development of enhanced geothermal systems is a deficiency in the tools available to project planners and developers. Weak tool sets make it difficult to accurately estimate the cost and ...

  3. Progress In Electromagnetics Research B, Vol. 12, 259295, 2009 AN ESTIMATION OF SENSOR ENERGY CONSUMP-

    E-Print Network [OSTI]

    Halgamuge, Malka N.

    University of Technology PO Box 218, Hawthorn, VIC 3122, Australia Abstract--A comprehensive energy model attempts to model sensor node energy consumption. We list below several such models and point out certainProgress In Electromagnetics Research B, Vol. 12, 259­295, 2009 AN ESTIMATION OF SENSOR ENERGY

  4. 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

  5. Energy estimation of UHE cosmic rays using the atmospheric uorescence technique

    E-Print Network [OSTI]

    Energy estimation of UHE cosmic rays using the atmospheric ¯uorescence technique C. Song a,*, Z University, New York, NY 10027, USA b High Energy Astrophysics Institute, University of Utah, Salt Lake City use the CORSIKA air shower simulation program to review the method for assigning energies to ultra

  6. 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

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

    E-Print Network [OSTI]

    functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changesStatistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models

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

    E-Print Network [OSTI]

    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

  9. The energy density of jellyfish: Estimates from bomb-calorimetry and proximate-composition

    E-Print Network [OSTI]

    Hays, Graeme

    The energy density of jellyfish: Estimates from bomb-calorimetry and proximate-composition Thomas K techniques are described to calculate energy densities for the bell, gonad and oral arm tissues of three). These proximate data were subsequently converted to energy densities. The two techniques (bomb- calorimetry

  10. Appendix I: Federal Energy Management Program (FEMP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  11. Appendix D: Solar Energy Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  12. Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models

    E-Print Network [OSTI]

    Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena

  13. Stability and error analysis of the polarization estimation inverse problem for solid oxide fuel cells.

    E-Print Network [OSTI]

    Renaut, Rosemary

    describe the performance of a solid oxide fuel cell requires the solution of an inverse problem. Two at the electrodeelectrolyte interfaces of solid oxide fuel cells (SOFC) is investigated physically using ElectrochemicalStability and error analysis of the polarization estimation inverse problem for solid oxide fuel

  14. A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers

    E-Print Network [OSTI]

    McAuliffe, Jon

    ] and hyper-spectral imaging in ecology [38], also lead to high-dimensional data sets. 1 #12;In the regime pA unified framework for high-dimensional analysis of M-estimators with decomposable regularizers of CS2 Department of Statistics3 UC Berkeley UT Austin UC Berkeley October 2010 Abstract High-dimensional

  15. A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers

    E-Print Network [OSTI]

    Yu, Bin

    ] and hyper-spectral imaging in ecology [38], also lead to high-dimensional data sets. 1 #12;In the regime p nA unified framework for high-dimensional analysis of M-estimators with decomposable regularizers of CS2 Department of Statistics3 UC Berkeley UT Austin UC Berkeley October 2010 Abstract High-dimensional

  16. Query Cost Estimation through Remote System Contention States Analysis over the Internet

    E-Print Network [OSTI]

    Liu, Weiru

    Query Cost Estimation through Remote System Contention States Analysis over the Internet Weiru Liu costs of possible query plans in order to select the best one with the minimum cost. In this context, the cost of a query is affected by three factors: network congestion, server contention state

  17. Tropospheric ozone reduces carbon assimilation in trees: estimates from analysis of continuous flux measurements

    E-Print Network [OSTI]

    Goldstein, Allen

    Tropospheric ozone reduces carbon assimilation in trees: estimates from analysis of continuous flux Abstract High ground-level ozone concentrations are typical of Mediterranean climates. Plant exposure to this oxidant is known to reduce carbon assimilation. Ozone damage has been traditionally measured through

  18. STUDY OF THE MTC ESTIMATION BY NOISE ANALYSIS IN 2-D HETEROGENEOUS SYSTEMS

    E-Print Network [OSTI]

    Demazière, Christophe

    STUDY OF THE MTC ESTIMATION BY NOISE ANALYSIS IN 2-D HETEROGENEOUS SYSTEMS C. DEMAZIÈRE, I. PÁZSIT and Pázsit, 2002a). Nevertheless, this previous study only investigated 1-D one-group homogeneous systems. We propose here to perform a substantially more advanced study of the same problem in 2-D two-group diffusion

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

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01

    Climate change and electricity demand in California. ”Extreme Heat, and Electricity Demand in California. CEC-500-Future Residential Electricity Demand." Energy Institute at

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

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01

    rise. Keywords: Electricity, Transmission, Climate Change,energy losses in electricity transmission and distributionWildfire Risk to Electricity Transmission Several studies

  1. Capital requirements for the transportation of energy materials: 1979 ARC estimates. Draft final report

    SciTech Connect (OSTI)

    Not Available

    1980-08-13

    This report contains TERA's estimates of capital requirements to transport natural gas, crude oil, petroleum products, and coal in the United States by 1990. The low, medium, and high world-oil-price scenarios from the EIA's Mid-range Energy Forecasting System (MEFS), as used in the 1979 Annual Report to Congress (ARC), were provided as a basis for the analysis and represent three alternative futures. TERA's approach varies by energy commodity to make best use of the information and analytical tools available. Summaries of transportation investment requirements through 1990 are given. Total investment requirements for three modes (pipelines, rails, waterways and the three energy commodities can accumulate to a $49.9 to $50.9 billion range depending on the scenario. The scenarios are distinguished primarily by the world price of oil which, given deregulation of domestic oil prices, affects US oil prices even more profoundly than in the past. The high price of oil, following the evidence of the last year, is projected to hold demand for oil below the recent past.

  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

    2014-06-12

    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. 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.

  4. 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

  5. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    is to establish and update a water/energy information base,of energy conservation research to support an update of theenergy conser- vation potential in residential buildings, in sup- port of an update

  6. U.S. Lighting Market Characterization Volume I: National Lighting Inventory and Energy Consumption Estimate Final Report

    SciTech Connect (OSTI)

    None, None

    2002-09-01

    Multiyear study to evaluate light sources and identify opportunities for saving energy. This report estimates energy consumption for residential, commercial, industrial, and outdoor stationary.

  7. 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

    2010-01-01

    energy efficiency measures; ? Average Savings at the end useante savings estimates for energy efficiency measures. Thesedeemed savings values for specific efficiency measures or

  8. ESTIMATING THE ECONOMIC BENEFIT OF LANDSCAPE PATTERN: AN HEDONIC ANALYSIS OF SPATIAL LANDSCAPE INDICES

    E-Print Network [OSTI]

    Radcliffe, David

    2 of this report addresses objective 4. Part 1- The Hedonic Study INTRODUCTION Estimating the public to the interactions between these spatial elements, #12;3 such as flows of energy or organisms, and change refers, and water; the effects of surrounding land use both agreeable (e.g., open space, parks, and forested areas

  9. AIAA-2003-0866 PROBABILISTIC ANALYSIS OF LIST DATA FOR THE ESTIMATION

    E-Print Network [OSTI]

    , ON N2L 3G1 Canada mdpandey@uwaterloo.ca H.J. Sutherland Wind Energy Technology Department Sandia National Laboratories Albuquerque, NM 87185-0708 USA hjsuthe@sandia.gov ABSTRACT Robust estimation of wind errors. Using measured inflow and structural data from the LIST program, this paper presents

  10. 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)

    2014-12-15

    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.

  11. Energy Analysis by Sector | 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:FinancingPetroleum Based|DepartmentStatementofAprilofEnergyEnSysEnergy &101Literacy

  12. A general probabilistic framework for volumetric articulated body pose estimation and driver gesture, activity and intent analysis for human-centric driver assistance

    E-Print Network [OSTI]

    Cheng, Shinko Yuanhsien

    2007-01-01

    Driver body-pose analysis . . . . . . . . . . . . . . . . .Body Pose Estimation . . . . . . . . . . . . . . . . .Mixture Model . . 4. Learning Pose using EM . . . . . .

  13. 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

    2008-06-03

    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).

  14. Estimating Energy Efficiency Impacts Using Climate Wise "Wise Rules" 

    E-Print Network [OSTI]

    Milmoe, P. H.; Winkelman, S. R.

    1998-01-01

    COMPRESSOR AIR PREssURE ... ~.~.~~.~~.~~p.!:~!:.P.!:~!:~ }.~.p.~~..~.p.~L~.~~~~.~!~!.!: . 0.4% of facility energy use $2,900 (4 mo. payback) ELIMINATE !REDUCE COMPRESSED AIR USE Eliminate/reduce some uses of air 0.6% of facility energy use $7,050 (6 mo... National Industrial Energy Technology Conference, Houston, TX, April 22-23, 1998 Measure Recommend ationRate .. , -- .. 21% 14% 4% 1% 26% 3% 23% 67% 7% Boilers Steam Systems Furnaces & Ovens Process Heatin2 Heat Recovery...

  15. Derived annual estimates of manufacturing energy consumption, 1974--1988. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, purchased'' energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as offsite-produced fuels.''

  16. 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 ...

  17. Procedure for estimating fracture energy from fracture surface roughness

    DOE Patents [OSTI]

    Williford, Ralph E. (Kennewick, WA)

    1989-01-01

    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.

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013Reserve

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013ReserveTribal

  20. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    report - domestic crude oil first purchaser system,"tion report - domestic crude oil entitlements system,"analysis on the domestic crude oil entitlements system,"

  1. Property:Estimated End Date | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation Jump to: navigation,Estimated End

  2. Property:EstimatedCostHighUSD | 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 QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation Jump to: navigation,Estimated

  3. 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 Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation Jump to:EstimatedCostMedianUSD

  4. 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 Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation JumpEstimatedTimeExplained Jump

  5. 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 Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigation JumpEstimatedTimeExplained

  6. 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 Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, searchEnvironmentalMitigationEstimatedTimeMedian Jump to:

  7. Meta-Analysis of Estimates of Life Cycle Greenhouse Gas Emissions from Concentrating Solar Power: Preprint

    SciTech Connect (OSTI)

    Heath, G. A.; Burkhardt, J. J.

    2011-09-01

    In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.

  8. Hawaii Clean Energy Initiative Scenario Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    Analysis of potential policy options to help the state reach the 70% Hawaii Clean Energy Initiative (HCEI) goal, including possible pathways to attain the goal based on currently available technology.

  9. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    and cooled electric heat pumps. ve Minneapolis Chicagowater heating hot water heat pumps wind energy conversionfrom the hot water heat pump, which can displace similar

  10. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    for geothermal energy, OTEC, solar thermal electricity andenergy conversion geothermal electricity and process heat solarenergy conversion for utility applications solar thermal electricity

  11. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    Environmental Data Bases and Integrated Models as AssessmentOutput F: refined data base for ORNL model (energy use ofdata bases and integrated en- vironmental economic models; and

  12. NREL: Energy Analysis - Aaron Townsend

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

    Electrical energy storage Primary research interests Electricity and natural gas market design and implementation Impact of market structure and out-of-market incentives...

  13. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    the total impact on residential demand resulting from theof the standards on residential demand in the United Statesof the ORNL Residential Energy Demand Model to the

  14. ENERGY ANALYSIS PROGRAM FY-1979.

    E-Print Network [OSTI]

    Authors, Various

    2013-01-01

    solar energy supply systems were ex- amined, including thermal collectorsthermal collectors. COMMUNITY IMPACT ANALYSISl This study examines potential impacts of de- centralized solar

  15. Sandia Energy - Sandia Report Presents Analysis of Glare Impacts...

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

    Presents Analysis of Glare Impacts of Ivanpah Solar Power Site Home Renewable Energy Energy News News & Events Concentrating Solar Power Solar Systems Analysis Sandia Report...

  16. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building...

  17. Sandia Energy - Techno-Economic Modeling, Analysis, and Support

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

    Modeling, Analysis, and Support Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Techno-Economic Modeling, Analysis, and Support Techno-Economic...

  18. NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

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

    NREL: Energy Efficiency Potential Mapping (Analysis & Tools for Building America and Industry - 2015 Peer Review NREL: Energy Efficiency Potential Mapping (Analysis & Tools for...

  19. Clean Energy Options for Sabah: An Analysis of Resource Availability...

    Open Energy Info (EERE)

    Clean Energy Options for Sabah: An Analysis of Resource Availability and Cost Jump to: navigation, search Name Clean Energy Options for Sabah: An Analysis of Resource Availability...

  20. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M [ORNL; Freer, Eva B [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Chinthavali, Supriya [ORNL; Kodysh, Jeffrey B [ORNL

    2013-01-01

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  1. Analysis of Energy Saving Impacts of ASHRAE 90.1-2004 for New York

    SciTech Connect (OSTI)

    Gowri, Krishnan; Halverson, Mark A.; Richman, Eric E.

    2007-08-03

    The New York State Energy Research and Development Authority (NYSERDA) and New York State Department of State (DOS) requested the help of DOE’s Building Energy Codes Program (BECP) in estimating the annual building energy savings and cost impacts of adopting ANSI/ASHRAE/IESNA Standard 90.1-2004 (ASHRAE 2004) requirements. This report summarizes the analysis methodology and results of energy simulation in response to that request.

  2. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n cEnergyNaturaldefines and explains theEric Escudero

  3. Mandatory Photovoltaic System Cost Estimate | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE Safetyof Energy ThisSites | Department of< Back Eligibility

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013Reserve BryanAlaska

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013Reserve BryanAlaskaDay 2

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013Reserve BryanAlaskaDay

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013ReserveTribal Roles in

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

    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 DeliciousMathematicsEnergy HeadquartersFuelBConservation StandardsEnergy In2008 |of2013ReserveTribal Roles

  9. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

    SciTech Connect (OSTI)

    none,

    2011-01-01

    This report is an analysis of niche markets and applications for light-emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy.

  10. Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications

    SciTech Connect (OSTI)

    None

    2008-10-01

    This report is an analysis of niche markets and applications for light-emitting diodes (LEDs), undertaken on behalf of the U.S. Department of Energy.

  11. Energy Market Analysis | 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: AlternativeCommunication3-EDepartment ofArizona EnergyHampshireWyomingLearnLiteracy:Department

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura BeaneCardwell,Production1358Department of

  13. ECOLOGICAL EFFICIENCY OF A PELAGIC MYSID SHRIMP; ESTIMATES FROM GROWTH, ENERGY BUDGET, AND MORTALITY STUDIES'

    E-Print Network [OSTI]

    ECOLOGICAL EFFICIENCY OF A PELAGIC MYSID SHRIMP; ESTIMATES FROM GROWTH, ENERGY BUDGET, AND MORTALITY STUDIES' ROBERT I. CLUTTER' AND GAIL H. THEILACKER' ABSTRACT The net ecological efficiency (yield efficiency (yield/ingested) is probably between 19 % and 29 %. Energy use by the field population

  14. 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

  15. Local energy decay and Strichartz estimates for the wave equation with time-periodic

    E-Print Network [OSTI]

    Petkov, Vesselin

    Local energy decay and Strichartz estimates for the wave equation with time-periodic perturbations(z) = (U(T, 0) - z)-1 , (x) C 0 (Rn ), where U(t, s) is the propagator related to the wave equation) and T > 0 is the period. Assuming that R(z) has no poles z with |z| 1, we establish a local energy decay

  16. Comparison of Methods for Estimating the NOx Emission Impacts of Energy Efficiency and Renewable Energy Projects: Shreveport, Louisiana Case Study (Revised)

    SciTech Connect (OSTI)

    Chambers, A.; Kline, D. M.; Vimmerstedt, L.; Diem, A.; Dismukes, D.; Mesyanzhinov, D.

    2005-07-01

    This is a case study comparing methods of estimating the NOx emission impacts of energy efficiency and renewable energy projects in Shreveport, Louisiana.

  17. Energy analysis program. 1995 Annual report

    SciTech Connect (OSTI)

    Levine, M.D.

    1996-05-01

    This year the role of energy technology research and analysis supporting governmental and public interests is again being challenged at high levels of government. This situation is not unlike that of the early 1980s, when the Administration questioned the relevance of a federal commitment to applied energy research, especially for energy efficiency and renewable energy technologies. Then Congress continued to support such activities, deeming them important to the nation`s interest. Today, Congress itself is challenging many facets of the federal role in energy. The Administration is also selectively reducing its support, primarily for the pragmatic objective of reducing federal expenditures, rather than because of principles opposing a public role in energy. this report is divided into three sections: International Energy and the global environment; Energy, economics, markets, and policy; and Buildings and their environment.

  18. Environmental Analysis | 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: Alternative Fuels DataEnergyInformationVulnerabilitiesEnergyPlus LogoEnvironment

  19. International Clean Energy Analysis | 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 QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13Renewable Power Jump to:(Redirected from International

  20. Estimation of Several Political Action Effects of Energy Prices

    E-Print Network [OSTI]

    Whitford, Andrew B

    2015-01-01

    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.

  1. Guidelines for the analysis of free energy calculations

    E-Print Network [OSTI]

    Klimovich, PV; Shirts, MR; Mobley, DL; Mobley, DL

    2015-01-01

    Efficient estimation of free energy differ- ences from Montenumerical instabilities in free energy calculations based onD.L. , DiCapua, F.M. : Free energy via molecular simulation:

  2. Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis with Applications in Genomics 

    E-Print Network [OSTI]

    Zollanvari, Amin

    2012-02-14

    , Aniruddha Datta Guy L. Curry Head of Department, Costas N. Georghiades December 2010 Major Subject: Electrical Engineering iii ABSTRACT Analytic Study of Performance of Error Estimators for Linear Discriminant Analysis with Applications in Genomics... : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 133 x LIST OF TABLES TABLE Page I Minimum sample size, n, (n0 = n1 = n) for desired (n;0:5) in univariate case. : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 67 II Genes selected using the validity-goodness model selection...

  3. Sandia Energy - Estimating Device or System Probability of Failure

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULIColin HumphreysDETLECSupplyEngineeringEric

  4. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysis

  5. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysisCapabilities This

  6. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysisCapabilities

  7. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesaAnalysis Permalink Gallery

  8. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesaAnalysis Permalink

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLfor InnovativeProcessing FacilityJanuarydeclares

  10. GAO Cost Estimating and Assessment Guide | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRD Report11, SolarMat 4" | DepartmentJune 3, 2015 2Twelve

  11. Request for Retirement Annuity Estimates | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidentialThis 3-DMarchLLC Open Annual

  12. Energy savings estimates and cost benefit calculations for high performance

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article) | SciTech(Journal Article)atDiagnosticsFacilityEnergy SourcesD

  13. Energy savings estimates and cost benefit calculations for high performance

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article) | SciTech(Journal Article)atDiagnosticsFacilityEnergy

  14. NREL: Energy Analysis - Key Activities

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmaster ToEnergyBSM -AJEDI

  15. Analysis of Potential Benefits and Costs of Updating the Commercial Building Energy Code in North Dakota

    SciTech Connect (OSTI)

    Cort, Katherine A.; Belzer, David B.; Winiarski, David W.; Richman, Eric E.

    2004-04-30

    The state of North Dakota is considering updating its commercial building energy code. This report evaluates the potential costs and benefits to North Dakota residents from updating and requiring compliance with ASHRAE Standard 90.1-2001. Both qualitative and quantitative benefits and costs are assessed in the analysis. Energy and economic impacts are estimated using the Building Loads Analysis and System Thermodynamics (BLAST simulation combined with a Life-cycle Cost (LCC) approach to assess correspodning economic costs and benefits.

  16. Built Environment Energy Analysis Tool Overview (Presentation)

    SciTech Connect (OSTI)

    Porter, C.

    2013-04-01

    This presentation provides an overview of the Built Environment Energy Analysis Tool, which is designed to assess impacts of future land use/built environment patterns on transportation-related energy use and greenhouse gas (GHG) emissions. The tool can be used to evaluate a range of population distribution and urban design scenarios for 2030 and 2050. This tool was produced as part of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored strategies for abating GHGs and reducing petroleum dependence related to transportation.

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

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01

    Agency Compliance with Energy- Efficient Procurement Laws.Washington, D.C. , Alliance to Save Energy. Fujita, K. S.2012). Achieved and Potential Energy Savings through Energy

  18. Environmental Analysis | 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: AlternativeCommunication3-EDepartmentExercise Program - November 2015 |Environmental Analysis

  19. Petrography Analysis | 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 QA:QAsource History ViewMayo, Maryland:NPIProtectio1975) | Open Energy Information Roosevelt Hot

  20. Systems Analysis | 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: Alternative Fuels Data CenterFinancialInvestingRenewable EnergyStaffSunShotSustainableSystems

  1. Systems Analysis | 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: Alternative Fuels Data CenterFinancialInvestingRenewable EnergyStaffSunShotSustainableSystemsAbout

  2. Lead Coolant Test Facility Systems Design, Thermal Hydraulic Analysis and Cost Estimate

    SciTech Connect (OSTI)

    Soli Khericha; Edwin Harvego; John Svoboda; Ryan Dalling

    2012-01-01

    The Idaho National Laboratory prepared a preliminary technical and functional requirements (T&FR), thermal hydraulic design and cost estimate for a lead coolant test facility. The purpose of this small scale facility is to simulate lead coolant fast reactor (LFR) coolant flow in an open lattice geometry core using seven electrical rods and liquid lead or lead-bismuth eutectic coolant. Based on review of current world lead or lead-bismuth test facilities and research needs listed in the Generation IV Roadmap, five broad areas of requirements were identified as listed: (1) Develop and Demonstrate Feasibility of Submerged Heat Exchanger; (2) Develop and Demonstrate Open-lattice Flow in Electrically Heated Core; (3) Develop and Demonstrate Chemistry Control; (4) Demonstrate Safe Operation; and (5) Provision for Future Testing. This paper discusses the preliminary design of systems, thermal hydraulic analysis, and simplified cost estimate. The facility thermal hydraulic design is based on the maximum simulated core power using seven electrical heater rods of 420 kW; average linear heat generation rate of 300 W/cm. The core inlet temperature for liquid lead or Pb/Bi eutectic is 4200 C. The design includes approximately seventy-five data measurements such as pressure, temperature, and flow rates. The preliminary estimated cost of construction of the facility is $3.7M (in 2006 $). It is also estimated that the facility will require two years to be constructed and ready for operation.

  3. NREL: Energy Analysis: Resource Assessment

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on771/6/14RecentGeospatial Analysis To perform and supportResource

  4. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa

  5. Core Analysis | 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 QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures JumpCommercialRenewableGlobal LInformationCore Analysis

  6. 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

    2011-06-22

    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.

  7. NREL: Energy Analysis - Related Links

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof EnergyY-12 NationalNOHydrogenWebmasterRelated Links Here

  8. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling

  9. Sandia Energy - Modeling & Analysis

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling

  10. Analysis Methodologies | 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: Alternative Fuels DataEnergy Webinar:I Due Date Adv.Alison MarkovitzAmped Up! Volume

  11. 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

    to arrive at an overall energy budget for the event. The best estimates for the energies of the variousJOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Refinements to flare energy estimates - a follow-up to "Energy Partition in Two Solar Flare/CME Events" A. G. Emslie, 1 B. R. Dennis 2

  12. Estimation of Energy Consumption in SpeedIndependent Control Peter A. Beerel and ChengTa Hsieh and Suhrid Wadekar

    E-Print Network [OSTI]

    . As an alternative, Kudva et al. [7] suggest determining the energy per operation (cycle of activityEstimation of Energy Consumption in Speed­Independent Control Circuits Peter A. Beerel and Cheng Abstract: We describe a technique to estimate the energy consumed by speed­independent asynchronous (clock

  13. SDSS/SEGUE spectral feature analysis for stellar atmospheric parameter estimation

    SciTech Connect (OSTI)

    Li, Xiangru; Lu, Yu; Yang, Tan; Wang, Yongjun; Wu, Q. M. Jonathan; Luo, Ali; Zhao, Yongheng; Zuo, Fang

    2014-08-01

    Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra and make it feasible to statistically investigate latent principles in a large data set. We present a technique for estimating parameters T{sub eff}, log g, and [Fe/H] from stellar spectra. With this technique, we first extract features from stellar spectra using the LASSO algorithm; then, the parameters are estimated from the extracted features using the support vector regression. On a subsample of 20,000 stellar spectra from the Sloan Digital Sky Survey (SDSS) with reference parameters provided by the SDSS/SEGUE Spectroscopic Parameter Pipeline, estimation consistency are 0.007458 dex for log T{sub eff} (101.609921 K for T{sub eff}), 0.189557 dex for log g, and 0.182060 for [Fe/H], where the consistency is evaluated by mean absolute error. Prominent characteristics of the proposed scheme are sparseness, locality, and physical interpretability. In this work, each spectrum consists of 3821 fluxes, and 10, 19, and 14 typical wavelength positions are detected, respectively, for estimating T{sub eff}, log g, and [Fe/H]. It is shown that the positions are related to typical lines of stellar spectra. This characteristic is important in investigating physical indications from analysis results. Then, stellar spectra can be described by the individual fluxes on the detected positions (PD) or local integration of fluxes near them (LI). The aforementioned consistency is the result based on features described by LI. If features are described by PD, consistency is 0.009092 dex for log T{sub eff} (124.545075 K for T{sub eff}), 0.198928 dex for log g, and 0.206814 dex for [Fe/H].

  14. Dispersive estimates for Schrödinger operators in dimension two with obstructions at zero energy

    E-Print Network [OSTI]

    M. Burak Erdogan; William R. Green

    2012-01-10

    We investigate $L^1(\\R^2)\\to L^\\infty(\\R^2)$ dispersive estimates for the Schr\\"odinger operator $H=-\\Delta+V$ when there are obstructions, resonances or an eigenvalue, at zero energy. In particular, we show that the existence of an s-wave resonance at zero energy does not destroy the $t^{-1}$ decay rate. We also show that if there is a p-wave resonance or an eigenvalue at zero energy then there is a time dependent operator $F_t$ satisfying $\\|F_t\\|_{L^1\\to L^\\infty} \\lesssim 1$ such that $$\\|e^{itH}P_{ac}-F_t\\|_{L^1\\to L^\\infty} \\lesssim |t|^{-1}, \\text{for} |t|>1.$$ We also establish a weighted dispersive estimate with $t^{-1}$ decay rate in the case when there is an eigenvalue at zero energy but no resonances.

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

    SciTech Connect (OSTI)

    none,

    2012-04-01

    Provides an overview of evaluation, measurement, and verification approaches used to estimate the load impacts and effectiveness of energy efficiency programs.

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

    E-Print Network [OSTI]

    L. J. Greenhill

    2004-09-10

    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.

  17. Energy, Environmental, and Economic Systems Analysis

    E-Print Network [OSTI]

    .g., past power prices) and projected data to support their unique decision process. Unlike conventional SIDEWAYSLOOK SIDEWAYS · Prices · Market conditions LOOK AHEADLOOK AHEAD TimeTimeTimeTime Price ProjectionsEnergy, Environmental, and Economic Systems Analysis Electricity Market Complex Adaptive System

  18. Southeast Regional Clean Energy Policy Analysis

    SciTech Connect (OSTI)

    McLaren, Joyce

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  19. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect (OSTI)

    McLaren, J.

    2011-04-01

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  20. The best-estimate analysis of LB LOCA with uncertainty evaluation

    SciTech Connect (OSTI)

    Stritar, A.; Mavko, B.; Prosek, A.

    1992-01-01

    The large-break loss-of-coolant accident (LB LOCA) has been analyzed with a conservative computer code and methodology. One of the conclusions of that analysis was the need for the uncertainty analysis of the final result with the number of input parameters as independent variables. In this paper, the analysis of the LB LOCA with the best-estimate code, RELAP5/MOD2, is described. The analysis has been performed for the Krsko nuclear power plant in Slovenia. It is a Westinghouse two-loop 664-MW (electric) pressurized water reactor. The cold-leg break between the pump and the reactor vessel has been selected for the analysis. The input model that was used with the RELAP5/MOD2 code was the modified standard input for that plant, which had been used for transient analyses for several years. The changes to the model were introduced mainly to achieve better efficiency of the extensive computational task. The number of heat slabs on the secondary side of the steam generators has been reduced to gain computing speed. The number of axial heat slabs in the core has been increased to achieve a better power profile. There were two hot rods modeled in the average hydraulic core. With two hot rods, the number of necessary calculations has been halved. In each hot rod, a model of another input parameter has been applied.

  1. BreezChirp: Energy Efficient Wi-Fi Bandwidth Estimator for Smartphones

    E-Print Network [OSTI]

    Boutaba, Raouf

    Center) support program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2013-H0301BreezChirp: Energy Efficient Wi-Fi Bandwidth Estimator for Smartphones Jian Li, Jin Xiao, Huu Nhat Science, University of Waterloo, Canada email: rboutaba@cs.uwaterloo.ca Faculty of Computer Science

  2. Estimation of Human Energy Expenditure Using Inertial Sensors and Heart Rate Sensor

    E-Print Network [OSTI]

    Lu?trek, Mitja

    Estimation of Human Energy Expenditure Using Inertial Sensors and Heart Rate Sensor Bozidara, we tested a combination of thigh inertial sensor with hart rate monitor, usually worn by athletes and availability and ease of development. Average smart phone has a rather powerful processing unit. It comes

  3. 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

    2008-03-01

    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.

  4. Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First-Principles-Based Efficient Reformulated Models

    E-Print Network [OSTI]

    Subramanian, Venkat

    Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First parameters of lithium-ion batteries are estimated using a first-principles electrochemical engineering model and understanding of lithium-ion batteries using physics-based first-principles models. These models are based

  5. Estimation of Energy Savings Resulting From the BestPractices Program, Fiscal Year 2002

    SciTech Connect (OSTI)

    Truett, LF

    2003-09-24

    Within the U.S. Department of Energy (DOE), the Office of Energy Efficiency and Renewable Energy (EERE) has a vision of a future with clean, abundant, reliable, and affordable energy. Within EERE, the Industrial Technologies Program (ITP), formerly the Office of Industrial Technologies, works in partnership with industry to increase energy efficiency, improve environmental performance, and boost productivity. The BestPractices (BP) Program, within ITP, works directly with industries to encourage energy efficiency. The purpose of the BP Program is to improve energy utilization and management practices in the industrial sector. The program targets distinct technology areas, including pumps, process heating, steam, compressed air, motors, and insulation. This targeting is accomplished with a variety of delivery channels, such as computer software, printed publications, Internet-based resources, technical training, technical assessments, and other technical assistance. A team of program evaluators from Oak Ridge National Laboratory (ORNL) was tasked to evaluate the fiscal year 2002 (FY02) energy savings of the program. The ORNL assessment enumerates levels of program activity for technology areas across delivery channels. In addition, several mechanisms that target multiple technology areas--e.g., Plant-wide Assessments (PWAs), the ''Energy Matters'' newsletter, and special events--are also evaluated for their impacts. When possible, the assessment relies on published reports and the Industrial Assessment Center (IAC) database for estimates of energy savings that result from particular actions. Data were also provided by ORNL, Lawrence Berkeley National Laboratory (LBNL) and Project Performance Corporation (PPC), the ITP Clearinghouse at Washington State University, the National Renewable Energy Laboratory (NREL), Energetics Inc., and the Industrial Technologies Program Office. The estimated energy savings in FY02 resulting from activities of the BP Program are almost 81.9 trillion Btu (0.0819 Quad), which is about 0.25% of the 32.5 Quads of energy consumed during FY02 by the industrial sector in the United States. The technology area with the largest estimated savings is steam, with 32% of the total energy savings. The delivery mechanism with the largest savings is that of software systems distribution, encompassing 44% of the total savings. Training results in an energy savings of 33%. Energy savings from PWAs and PWA replications equal 10%. Sources of overestimation of energy savings might derive from (1) a possible overlap of energy savings resulting from separate events (delivery channels) occurring in conjunction with one another (e.g., a training event and CTA at the same plant), and (2) a possible issue with the use of the average CTA value to assess savings for training and software distribution. Any overestimation attributable to these sources probably is outweighed by underestimations caused by the exclusion of savings resulting from general awareness workshops, data not submitted to the ITP Tracking Database, omission of savings attributable to web downloads of publications, use of BP products by participants over multiple years, and the continued utilization of equipment installed or replaced in previous years. Next steps in improving these energy savings estimates include continuing to enhance the design of the ITP Tracking Database and to improve reporting of program activities for the distribution of products and services; obtaining more detailed information on implementation rates and savings estimates for software training, tools, and assessments; continuing attempts to quantify savings based on Qualified Specialist activities; defining a methodology for assessing savings based on web downloads of publications; establishing a protocol for evaluating savings from other BP-sponsored events and activities; and continuing to refine the estimation methodology and reduction factors.

  6. Ris-R-Report Energy Systems Analysis of Waste to Energy

    E-Print Network [OSTI]

    Risø-R-Report Energy Systems Analysis of Waste to Energy Technologies by use of EnergyPLAN Marie Münster Risø-R-1667(EN) April 2009 #12;Author: Marie Münster Title: Energy Systems Analysis of Waste to Energy Technologies by use of EnergyPLAN Division: Systems Analysis Division Risø-R-1667(EN) April 2009

  7. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

    2012-04-01

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

  8. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the §1603 Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, Daniel; Porro, Gian; Goldberg, Marshall

    2012-04-09

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the §1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the §1603 grant program.

  9. Preliminary Analysis of the Jobs and Economic Impacts of Renewable Energy Projects Supported by the ..Section..1603 Treasury Grant Program

    SciTech Connect (OSTI)

    Steinberg, D.; Porro, G.; Goldberg, M.

    2012-04-01

    This analysis responds to a request from the Department of Energy Office of Energy Efficiency and Renewable Energy to the National Renewable Energy Laboratory (NREL) to estimate the direct and indirect jobs and economic impacts of projects supported by the Section 1603 Treasury grant program. The analysis employs the Jobs and Economic Development Impacts (JEDI) models to estimate the gross jobs, earnings, and economic output supported by the construction and operation of the large wind (greater than 1 MW) and solar photovoltaic (PV) projects funded by the Section 1603 grant program.

  10. Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models

    SciTech Connect (OSTI)

    S. A. Eide; D. M. Rasmuson; C. L. Atwood

    2008-09-01

    The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.

  11. Estimating the Benefits of Government-Sponsored Energy R&D: Synthesis of Conference Discussions

    SciTech Connect (OSTI)

    Lee, R.

    2003-11-14

    In 2001, a National Research Council (NRC) committee conducted a retrospective study of the benefits of some of the energy efficiency and fossil energy programs in the U.S. Department of Energy (DOE). As part of its study, the NRC committee developed a methodological framework for estimating these benefits. Following the NRC report, a conference was organized by Oak Ridge National Laboratory to discuss ways of adapting and refining the NRC framework for possible use by DOE offices to help plan and manage their R&D. This report is a synthesis of the discussions at the conference.

  12. ENERGY ANALYSIS PROGRAM. CHAPTER FROM THE ENERGY AND ENVIRONMENT DIVISION ANNUAL REPORT 1980

    E-Print Network [OSTI]

    Authors, Various

    2014-01-01

    and S. Meyers, Indicators of Residential Energy Use and L.Analysis of Residential Energy Use Data: The Case of Swedenand Engineering, Inc. , Energy/Environment Data Study,

  13. Power-spectrum analysis of Super-Kamiokande solar neutrino data, taking into account asymmetry in the error estimates

    E-Print Network [OSTI]

    P. A. Sturrock; J. D. Scargle

    2006-06-20

    The purpose of this article is to carry out a power-spectrum analysis (based on likelihood methods) of the Super-Kamiokande 5-day dataset that takes account of the asymmetry in the error estimates. Whereas the likelihood analysis involves a linear optimization procedure for symmetrical error estimates, it involves a nonlinear optimization procedure for asymmetrical error estimates. We find that for most frequencies there is little difference between the power spectra derived from analyses of symmetrized error estimates and from asymmetrical error estimates. However, this proves not to be the case for the principal peak in the power spectra, which is found at 9.43 yr-1. A likelihood analysis which allows for a "floating offset" and takes account of the start time and end time of each bin and of the flux estimate and the symmetrized error estimate leads to a power of 11.24 for this peak. A Monte Carlo analysis shows that there is a chance of only 1% of finding a peak this big or bigger in the frequency band 1 - 36 yr-1 (the widest band that avoids artificial peaks). On the other hand, an analysis that takes account of the error asymmetry leads to a peak with power 13.24 at that frequency. A Monte Carlo analysis shows that there is a chance of only 0.1% of finding a peak this big or bigger in that frequency band 1 - 36 yr-1. From this perspective, power spectrum analysis that takes account of asymmetry of the error estimates gives evidence for variability that is significant at the 99.9% level. We comment briefly on an apparent discrepancy between power spectrum analyses of the Super-Kamiokande and SNO solar neutrino experiments.

  14. Sandia Energy - High-Fidelity Hydrostructural Analysis of Ocean...

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

    Hydrostructural Analysis of Ocean Renewable Power Company's (ORPC's) TidGen Turbine Home Renewable Energy Energy Water Power Partnership News News & Events Computational...

  15. Sandia Energy - Failure Mode and Effect Analysis (FMEA) Tutorial

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

    and Effect Analysis (FMEA) Tutorial Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Systems Reliability Tutorial on FMEA Process Failure Mode...

  16. DOE Hydrogen Transition Analysis Workshop | Department of Energy

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

    The U.S. Department of Energy sponsored a Hydrogen Transition Analysis Workshop in Washington, DC, on January 26, 2006. Attendees included automobile and energy company...

  17. State Clean Energy Policies Analysis (SCEPA): State Policy and...

    Open Energy Info (EERE)

    State Clean Energy Policies Analysis (SCEPA): State Policy and the Pursuit of Renewable Energy Manufacturing Jump to: navigation, search Tool Summary LAUNCH TOOL Name: State Clean...

  18. Novel Tool Allows Quicker, More Versatile Analysis of Energy...

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

    Technologies June 19, 2012 - 1:00pm Addthis Washington, DC - A new energy production technology analysis tool that could lead to cost-effective improvements for energy...

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

    E-Print Network [OSTI]

    Taylor, Margaret

    2014-01-01

    in terms of energy intensity per square foot of buildingrelated energy consumption per square foot of building.so that the energy consumption per gross square foot of the

  20. Online Estimation of the Remaining Energy Capacity in Mobile Systems Considering System-Wide Power Consumption and Battery Characteristics

    E-Print Network [OSTI]

    Pedram, Massoud

    Online Estimation of the Remaining Energy Capacity in Mobile Systems Considering System-Wide Power on estimating the remaining battery energy in Android OS-based mobile systems. This paper proposes to instrument for the whole system. Next, while ac- counting for the rate-capacity effect in batteries, the total power

  1. Estimation of CO2 Emissions from China's Cement Production: Methodologies and Uncertainties

    E-Print Network [OSTI]

    Ke, Jing

    2014-01-01

    statistics and energy intensity analysis of the NSP process and VSK cement production (CCA, 2011; QEASCBM, 2011; Zhou, 2007), we separately estimated the energy consumption

  2. Vision-based head pose estimation and interactivity analysis : algorithms, systems and evaluation

    E-Print Network [OSTI]

    Murphy-Chutorian, Erik Marshall

    2009-01-01

    1.3 Head Pose Estimation Methods . . . . . .Chapter 1 A Survey of Head Pose Estimation in Computer 1.11.4 Head Pose Estimation Comparisons . . . . . . . . 1.4.1

  3. Numerical estimation of adsorption energy distributions from adsorption isotherm data with the expectation-maximization method

    SciTech Connect (OSTI)

    Stanley, B.J.; Guiochon, G. |

    1993-08-01

    The expectation-maximization (EM) method of parameter estimation is used to calculate adsorption energy distributions of molecular probes from their adsorption isotherms. EM does not require prior knowledge of the distribution function or the isotherm, requires no smoothing of the isotherm data, and converges with high stability towards the maximum-likelihood estimate. The method is therefore robust and accurate at high iteration numbers. The EM algorithm is tested with simulated energy distributions corresponding to unimodal Gaussian, bimodal Gaussian, Poisson distributions, and the distributions resulting from Misra isotherms. Theoretical isotherms are generated from these distributions using the Langmuir model, and then chromatographic band profiles are computed using the ideal model of chromatography. Noise is then introduced in the theoretical band profiles comparable to those observed experimentally. The isotherm is then calculated using the elution-by-characteristic points method. The energy distribution given by the EM method is compared to the original one. Results are contrasted to those obtained with the House and Jaycock algorithm HILDA, and shown to be superior in terms of robustness, accuracy, and information theory. The effect of undersampling of the high-pressure/low-energy region of the adsorption is reported and discussed for the EM algorithm, as well as the effect of signal-to-noise ratio on the degree of heterogeneity that may be estimated experimentally.

  4. New Mexico: Solar Glare Hazard Analysis Tool Maximizes Energy...

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

    New Mexico: Solar Glare Hazard Analysis Tool Maximizes Energy Production, Wins R&D 100 Award New Mexico: Solar Glare Hazard Analysis Tool Maximizes Energy Production, Wins R&D 100...

  5. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    E-Print Network [OSTI]

    Blair, N.

    2010-01-01

    to estimate market potential of renewable energy in the U.S.examine potential future scenarios for renewable energy andpotential question (or questions) to be addressed through the project. In late 2006, increasing renewable energy

  6. International Meeting on "Best Estimate" Methods in Nuclear Installation Safety Analysis (BE-2000) Washington, DC, November, 2000.

    E-Print Network [OSTI]

    Kunz, Robert Francis

    International Meeting on "Best Estimate" Methods in Nuclear Installation Safety Analysis (BE-2000 conditioning and analysis techniques has been undertaken which focuses on their relevance to nuclear reactor, to be used in United States Nuclear Regulatory Commission (USNRC) advanced T/H code consolidation efforts

  7. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  8. Job Analysis Template | 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 DeliciousMathematicsEnergyInterested Parties - WAPA Public CommentInverted Attic9: What(CSC)Job Analysis Template

  9. Benefits Analysis for DOE Energy Technology Portfolio Assessment: Background

    SciTech Connect (OSTI)

    Beschen, Darrell

    2006-12-20

    A presentation for the FY 2007 GPRA methodology review on benefits analysis for the DOE energy technology portfolio assessment.

  10. Energy Analysis Program. 1992 Annual report

    SciTech Connect (OSTI)

    Not Available

    1993-06-01

    The Program became deeply involved in establishing 4 Washington, D.C., project office diving the last few months of fiscal year 1942. This project office, which reports to the Energy & Environment Division, will receive the majority of its support from the Energy Analysis Program. We anticipate having two staff scientists and support personnel in offices within a few blocks of DOE. Our expectation is that this office will carry out a series of projects that are better managed closer to DOE. We also anticipate that our representation in Washington will improve and we hope to expand the Program, its activities, and impact, in police-relevant analyses. In spite of the growth that we have achieved, the Program continues to emphasize (1) energy efficiency of buildings, (2) appliance energy efficiency standards, (3) energy demand forecasting, (4) utility policy studies, especially integrated resource planning issues, and (5) international energy studies, with considerate emphasis on developing countries and economies in transition. These continuing interests are reflected in the articles that appear in this report.

  11. 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.

    2010-04-14

    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

  12. Low-risk and cost-effective prior savings estimates for large-scale energy conservation projects in housing: Learning from the Fort Polk GHP project

    SciTech Connect (OSTI)

    Shonder, J.A.; Hughes, P.J.; Thornton, J.W.

    1997-08-01

    Many opportunities exist for large-scale energy conservation projects in housing. Energy savings performance contracting (ESPC) is now receiving greater attention, as a means to implement such projects. This paper proposes an improved method for prior (to construction) savings estimates for these projects. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, the authors have collected energy use data which allowed them to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. They believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects. The improved savings estimating approach described here is based on an engineering model calibrated to field-collected data from the pre-retrofit period. A dynamic model of pre-retrofit energy use was developed for all housing and non-housing loads on a complete electrical feeder at Fort Polk. The model included the heat transfer characteristics of the buildings, the pre-retrofit air source heat pump, a hot water consumption model and a profile for electrical use by lights and other appliances. Energy consumption for all 200 apartments was totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights. The analysis of pre- and post-retrofit data indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper.

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

    SciTech Connect (OSTI)

    Palou-Rivera, I.; Wang, M. Q.

    2010-12-08

    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.

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

  15. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    entirely of passive solar houses. We have estimated theWe estimate that a passive solar house constructed to thesecommercial buildings, passive solar houses, and retrofit in-

  16. Statistical Analysis of Historical State-Level Residential Energy Consumption Trends

    SciTech Connect (OSTI)

    Belzer, David B.; Cort, Katherine A.

    2004-08-01

    Developing an accurate picture of the major trends in energy consumption in the nation’s stock of residential buildings can serve a variety of national and regional program planning and policy needs related to energy use. This paper employs regression analysis and uses the PRISM (Princeton Scorekeeping Method) approach with historical data to provide some insight into overall changes in the thermal integrity of the residential building stock by state. Although national energy use intensity estimates exist in aggregate, these numbers shed little light on what drives building consumption, as opposing influences are hidden within the measurement (e.g., more appliances that increase energy use while shell improvements reduce it). This study addresses this issue by estimating changes in the reference temperatures that best characterize the existing residential building stock on a state basis. Improvements in building thermal integrity are reflected by declines in the heating reference temperature, holding other factors constant. Heating and cooling-day estimates to various reference temperatures were computed from monthly average temperature data for approximately 350 climatic divisions in the U.S. A simple cross-sectional analysis is employed to try to explain the differential impacts across states. Among other factors, this analysis considers the impact that the relative growth in the number of residential buildings and the stringency of building energy codes has had on residential building energy use. This paper describes the methodology used, presents results, and suggests directions for future research.

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

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2012-04-01

    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.

  18. Webinar: Overview of the Clean Energy Manufacturing Analysis Center

    Broader source: Energy.gov [DOE]

    As part of the Clean Energy Manufacturing Initiative, the U.S. Department of Energy recently launched the Clean Energy Manufacturing Analysis Center (CEMAC). CEMAC is a collaboration across the...

  19. Maximum likelihood analysis of low energy CDMS II germanium data

    E-Print Network [OSTI]

    2015-01-01

    likelihood analysis of low energy CDMS II germanium data R.United States Department of Energy, by NSERC Canada, and byStates Department of Energy. [1] P. A. R. Ade et al. (Planck

  20. Analysis of the results of Federal incentives used to stimulate energy production

    SciTech Connect (OSTI)

    Cone, B.W.; Emery, J.C.; Fassbender, A.G.

    1980-06-01

    The research program analyzed the Federal incentives used to stimulate nuclear, hydro, coal, gas, oil, and electricity production in order to supply what was learned to the selection of an incentives strategy to induce new energy production from renewable resources. Following the introductory chapter, Chapter 2 examines the problem of estimating effects from a theoretical perspective. Methods of quantifying and identifying the many interactive effects of government actions are discussed. Chapter 3 presents a generic analysis of the result of Federal incentives. Chapters 4 through 9 deal with incentives to energy forms - nuclear, hydro, coal, oil, gas, and electricity. Chapter 10 summarizes the estimated results of the incentives, which are presented in terms of their quantity and price impacts. The incentive costs per million Btu of induced energy production is also discussed. Chapter 11 discusses the parity issue, that is an equivalence between Federal incentives to renewable resources and to traditional energy resources. Any analysis of incentives for solar needs will profit from an analysis of the costs of solar incentives per million Btu compared with those for traditional energy forms. Chapter 12 concludes the analysis, discussing the history of traditional energy incentives as a guide to solar-energy incentives. 216 references, 38 figures, 91 tables.

  1. 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.

    2011-01-01

    -01-01 ESTIMATES OF ENERGY COST SAVINGS ACHIEVED FROM 2009 IECC CODE-COMPLIANT, SINGLE-FAMILY RESIDENCES IN TEXAS Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff Haberl, Ph.D., P.E. January 2011 (Revised...) ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University System 2009 IECC Cost Savings Report, p.i January 2011 Energy Systems Laboratory, Texas A&M University EXECUTIVE SUMMARY This report presents estimates...

  2. Estimating transport properties of mortars using image analysis on backscattered electron images

    SciTech Connect (OSTI)

    Wong, H.S. . E-mail: hong.wong@imperial.ac.uk; Buenfeld, N.R.; Head, M.K.

    2006-08-15

    The pore structure of two ordinary Portland cement mortars at water-cement ratio of 0.35 and 0.70 was characterised using quantitative backscattered electron imaging. The mortars were cured and conditioned to produce a range of pore structure characteristics. Image analysis was used to characterise the pore structure in terms of simple morphological parameters such as resolvable porosity and the specific surface area. These were found to be correlated to measured transport coefficients (diffusivity, permeability and sorptivity), suggesting the feasibility of image analysis to derive valuable quantitative information describing the pore structure that can be used as input values for a transport prediction model. A simple analytical model incorporating tortuosity and constrictivity was used to predict oxygen diffusivity and a variant of the Kozeny-Carman model was used to predict oxygen permeability. The diffusion model tended to over-predict for the lower w/c ratio mortar, but the general agreement was reasonable, with 90% of the estimated values within a factor of two from the measured values. The modified Kozeny-Carman model, however, over-predicted all permeability values with an error of between half to one order of magnitude.

  3. 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

    2010-01-01

    Framework Energy supply/demand forecasts change greatlyThis analysis makes energy supply/demand forecasts for theEnergy Demand (Reference Scenario) In millions of tons oil equivalent (Mtoe) I l f Results* •Forecasts *

  4. An analysis of buildings-related energy use in manufacturing

    SciTech Connect (OSTI)

    Niefer, M.J.; Ashton, W.B.

    1997-04-01

    This report presents research by the Pacific Northwest National Laboratory (PNNL) to develop improved estimates of buildings-related energy use in US manufacturing facilities. The research was supported by the Office of Building Technology, State and Community Programs (BTS), Office of Energy Efficiency and Renewable Energy (EERE), US Department of Energy (DOE). The research scope includes only space conditioning and lighting end uses. In addition, this study also estimates the energy savings potential for application of selected commercial buildings technologies being developed by the BTS office to manufacturing and other industrial process facilities. 17 refs., 2 figs., 19 tabs.

  5. An Analysis of the Costs, Benefits, and Implications of Different Approaches to Capturing the Value of Renewable Energy Tax Incentives

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01

    of emerging renewable energy technologies leads to cost8% estimated cost of capital under renewable energy MLPs is8% estimated cost of capital under renewable energy MLPs is

  6. Compound and Elemental Analysis | 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 QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)| Open(Evans, Et Al., 2002) || Open EnergyAnalysis Jump to:

  7. Energy Policy Act of 2005 -Select News and Analysis WSU Extension Energy Library http://www.energy.wsu.edu/library/

    E-Print Network [OSTI]

    Collins, Gary S.

    Energy Policy Act of 2005 - Select News and Analysis WSU Extension Energy Library http://www.energy.wsu.edu/library/ ©Washington State University Extension Energy Program Energy Policy Act of 2005: Links to Select News and Analysis Compiled by staff of the Washington State University Extension Energy Library Last updated April

  8. Energy Policy Act of 2005 -Select News and Analysis WSU Extension Energy Library http://www.energy.wsu.edu/library/

    E-Print Network [OSTI]

    Collins, Gary S.

    Energy Policy Act of 2005 - Select News and Analysis WSU Extension Energy Library http://www.energy.wsu.edu/library/ ©Washington State University Extension Energy Program Energy Policy Act of 2005: Links to Select News and Analysis Compiled by staff of the Washington State University Extension Energy Library Last updated July 7

  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.

    2010-01-15

    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. 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.

    2010-01-27

    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.

  11. EnergyPlus Run Time Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01

    toward the goal of net zero energy buildings. EnergyPlusdesigns and low or net-zero energy buildings. EnergyPlus

  12. Vision-based head pose estimation and interactivity analysis : algorithms, systems and evaluation

    E-Print Network [OSTI]

    Murphy-Chutorian, Erik Marshall

    2009-01-01

    estimate the low-level location and head movement of meetingup manner, following low-level facial Head Angle: Known HeadJ. Crowley, “Head pose estimation on low resolution images,”

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

    E-Print Network [OSTI]

    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. 1-Jin-Wei Liang and B. F. Feeny, April 2005 TITLE: BALANCING ENERGY TO ESTIMATE DAMPING PARAMETERS IN FORCED

    E-Print Network [OSTI]

    Feeny, Brian

    ., East Lansing, MI 48824, USA. feeny@egr.msu.edu ABSTRACT This study makes use of an energy balance1- Jin-Wei Liang and B. F. Feeny, April 2005 TITLE: BALANCING ENERGY TO ESTIMATE DAMPING PARAMETERS to identify damping parameters in mechanical vibration systems. By balancing the energy input as registered

  16. Control, Estimation and Optimization of Energy Efficient Buildings Jeff Borggaard , John A. Burns , Amit Surana , Lizette Zietsman

    E-Print Network [OSTI]

    Burns, John A.

    Control, Estimation and Optimization of Energy Efficient Buildings Jeff Borggaard , John A. Burns-- Commercial buildings are responsible for a sig- nificant fraction of the energy consumption and greenhouse efficient buildings can have a tremendous impact on energy cost and greenhouse gas emission. Buildings

  17. Preliminary Findings from an Analysis of Building Energy Information System

    E-Print Network [OSTI]

    -based energy monitoring, web-based energy management linked to controls, demand response, and enterprise energyLBNL-2224E Preliminary Findings from an Analysis of Building Energy Information System Technologies of Building Energy Information System Technologies Jessica Granderson Mary Ann Piette Girish Ghatikar Phillip

  18. Estimation of Bond Dissociation Energies and Radical Stabilization Energies by ESR Spectroscopy

    E-Print Network [OSTI]

    Brocks, Jochen J.

    stabilization enthalpies (RSE) and with BDE(C-H), the C-H bond dissociation energies for the corresponding stabilization energies and bond dissociation enthalpies (BDE) are useful for the prediction or inter- pretation be measured directly but must be deduced indirectly from the results of thermochemical, kinetic

  19. N. D. Kelley and H. J. Sutherland, "Damage Estimates from Long-Term Structural Analysis of a Wind Turbine in a U.S. Wind Farm Environment," 1997 ASME Wind

    E-Print Network [OSTI]

    Turbine in a U.S. Wind Farm Environment," 1997 ASME Wind Energy Symposium, AIAA/ASME, 1997, pp. 170-179. DAMAGE ESTIMATES FROM LONG-TERM STRUCTURAL ANALYSIS OF A WIND TURBINE IN A U.S. WIND FARM ENVIRONMENT in Row 41 of a wind farm located in San Gorgonio Pass, California. Also, long-term simulations (up to 8

  20. 1 Energy Markets and Policy Group Energy Analysis Department The Impact of Wind Power Projects

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 Energy Markets and Policy Group · Energy Analysis Department The Impact of Wind Power Projects, Wind & Hydropower Technologies Program #12;2 Energy Markets and Policy Group · Energy Analysis Concerns for Wind Energy Fall Into Three Potential Categories 1. Area Stigma: Concern that rural areas

  1. A statistical analysis of systematic errors in temperature and ram velocity estimates from satellite-borne retarding potential analyzers

    SciTech Connect (OSTI)

    Klenzing, J. H.; Earle, G. D.; Heelis, R. A.; Coley, W. R. [William B. Hanson Center for Space Sciences, University of Texas at Dallas, 800 W. Campbell Rd. WT15, Richardson, Texas 75080 (United States)

    2009-05-15

    The use of biased grids as energy filters for charged particles is common in satellite-borne instruments such as a planar retarding potential analyzer (RPA). Planar RPAs are currently flown on missions such as the Communications/Navigation Outage Forecast System and the Defense Meteorological Satellites Program to obtain estimates of geophysical parameters including ion velocity and temperature. It has been shown previously that the use of biased grids in such instruments creates a nonuniform potential in the grid plane, which leads to inherent errors in the inferred parameters. A simulation of ion interactions with various configurations of biased grids has been developed using a commercial finite-element analysis software package. Using a statistical approach, the simulation calculates collected flux from Maxwellian ion distributions with three-dimensional drift relative to the instrument. Perturbations in the performance of flight instrumentation relative to expectations from the idealized RPA flux equation are discussed. Both single grid and dual-grid systems are modeled to investigate design considerations. Relative errors in the inferred parameters for each geometry are characterized as functions of ion temperature and drift velocity.

  2. Estimate of Cost-Effective Potential for Minimum Efficiency Performance Standards in 13 Major World Economies Energy Savings, Environmental and Financial Impacts

    SciTech Connect (OSTI)

    Letschert, Virginie E.; Bojda, Nicholas; Ke, Jing; McNeil, Michael A.

    2012-07-01

    This study analyzes the financial impacts on consumers of minimum efficiency performance standards (MEPS) for appliances that could be implemented in 13 major economies around the world. We use the Bottom-Up Energy Analysis System (BUENAS), developed at Lawrence Berkeley National Laboratory (LBNL), to analyze various appliance efficiency target levels to estimate the net present value (NPV) of policies designed to provide maximum energy savings while not penalizing consumers financially. These policies constitute what we call the “cost-effective potential” (CEP) scenario. The CEP scenario is designed to answer the question: How high can we raise the efficiency bar in mandatory programs while still saving consumers money?

  3. Low-Risk and Cost-Effective Prior Savings Estimates for Large-Scale Energy Conservation Projects in Housing: Learning from the Fort Polk GHP Project

    SciTech Connect (OSTI)

    Shonder, John A; Hughes, Patrick; Thornton, Jeff W.

    1997-08-01

    Many opportunities exist for large-scale energy conservation projects in housing: military housing, federally-subsidized low-income housing, and planned communities (condominiums, townhomes, senior centers) to name a few. Energy savings performance contracting (ESPC) is now receiving greater attention, as a means to implement such projects. This paper proposes an improved method for prior (to construction) savings estimates for these projects. More accurate prior estimates reduce project risk, decrease financing costs, and help avoid post-construction legal disputes over performance contract baseline adjustments. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, Louisiana, we have collected energy use data - both at the electrical feeder level and at the level of individual residences - which allowed us to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. We believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects, particularly in cases where the energy consumption of large populations of housing can be captured on one or a few meters. The improved savings estimating approach described here is based on an engineering model calibrated to field-collected data from the pre-retrofit period. A dynamic model of pre-retrofit energy use was developed for all housing and non-housing loads on a complete electrical feeder at Fort Polk. The feeder serves 46 buildings containing a total of 200 individual apartments. Of the 46 buildings, there are three unique types, and among these types the only difference is compass orientation. The model included the heat transfer characteristics of the buildings, the pre-retrofit air source heat pump, a hot water consumption model and a profile for electrical use by lights and other appliances. Energy consumption for all 200 apartments was totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps (GHPs) with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights (CFLs). Our analysis of pre- and post-retrofit data (Shonder and Hughes, 1997) indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper. Using the method outlined, we have been able to predict this savings within 0.1% of its measured value, using only pre-construction energy consumption data, and data from one pilot test site. It is well-known that predictions of savings from energy conservation programs are often optimistic, especially in the case of residential retrofits. Fels and keating (1993) cite several examples of programs which achieved as little as 20% of the predicted energy savings. Factors which influence the sometimes large discrepancies between actual and predicted savings include changes in occupancy, take-back effects (in which more efficient system operation leads occupants to choose higher levels of comfort), and changes in base energy use (e.g. through purchase of additional appliances such as washing machines and clothes dryers). An even larger factor, perhaps, is the inaccuracy inherent in the engineering models (BLAST, DOE-2, etc.) commonly used to estimate building energy consumption, if these models are not first calibrated to site-monitored data. For example, prior estimates of base-wide savings from the Fort Polk ESPC were on the order of 40% of pre-retrofit electrical use; our analysis has shown the true savings for the entire project (which includes 16 separate electrical feeders) to be about 32%. It should be noted that the retrofits ca

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

    E-Print Network [OSTI]

    Ioannis Anapolitanos

    2014-10-21

    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.

  5. Calibrated Estimates of the Energy in Major Flares of GRS 1915+105

    E-Print Network [OSTI]

    Punsly, Brian

    2013-01-01

    We analyze the energetics of the major radio flare of October 8 2005 in GRS 1915+105. The flare is of particular interest because it is one of the most luminous and energetic radio flares from a Galactic black hole that has ever been observed. The motivation is two-fold. One, to learn more about the energetics of this most extreme phenomenon and its relationship to the accretion state. The second is to verify if the calibrated estimates of the energy of major radio flares (based on the peak low frequency optically thin flux) derived from flares in the period 1996-2001 in Punsly & Rodriguez (2013), PR13 hereafter, can be used to estimate plasmoid energy beyond this time period. We find evidence that the calibrated curves are still accurate for this strong flare. Furthermore, the physically important findings of PR13 are supported by the inclusion of this flare: the flare energy is correlated with both the intrinsic bolometric X-ray luminosity, $L_{\\mathrm{bol}}$, $\\sim 1$ hour before ejection and $L_{\\math...

  6. 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

  7. Improvements and Applications of the Methodology for Potential Energy Savings Estimation from Retro-commissioning/Retrofit Measures 

    E-Print Network [OSTI]

    Liu, Jingjing

    2010-03-24

    , minimum airflow setting for VAV systems, space load calculation, simulation of buildings with more than one type of system, AHU shutdown simulation, and air-side simulation models. A prototype computer tool called the Potential Energy Savings Estimation...

  8. Estimation of Energy Baseline by Simulation for On-going Commissioning and Energy Saving Retrofit 

    E-Print Network [OSTI]

    Miyata, M.; Yoshida, H.; Asada, M.; Iwata, T.; Tanabe, Y.; Yanagisawa, T.

    2006-01-01

    ,rq : Rated chilled capacity of R-1 [kW] 2,rq : Rated chilled capacity of R-2 [kW] [1] IPMVP New Costruction Subcommittee: Concepts and Options for Determining Energy and Water Savings Volume I, International Performance Measerment...

  9. A Retrospective Analysis of Commercial Building Energy Codes: 1990 – 2008

    SciTech Connect (OSTI)

    Belzer, David B.; McDonald, Sean C.; Halverson, Mark A.

    2010-10-01

    Building Energy Codes Program's efforts are designed to result in increased stringency in national model energy codes, more rapid and broader adoption by states and localities of updated codes, and increased compliance and enforcement. Report estimates the historical impact of Building Energy Codes Program in terms of energy savings achieved that are based upon various editions of ANSI/ASHRAE/IESNA Standard 90.1 (ASHRAE Standard 90.1).

  10. Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries

    E-Print Network [OSTI]

    Peng, Huei

    Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries i g h l i g h t s battery model parameters are optimized. 2012 Accepted 1 June 2012 Available online 9 June 2012 Keywords: Battery management systems SOC

  11. Uncertainty Analysis of Capacity Estimates and Leakage Potential for Geologic Storage of Carbon Dioxide in Saline Aquifers

    E-Print Network [OSTI]

    Storage of Carbon Dioxide in Saline Aquifers by Yamama Raza Submitted to the Engineering Systems DivisionUncertainty Analysis of Capacity Estimates and Leakage Potential for Geologic Storage of Carbon Dioxide in Saline Aquifers by Yamama Raza S.B., Engineering Science, Smith College, 2006 Submitted

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

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL

    2012-01-01

    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.

  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.

    2012-09-01

    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.

    2012-04-01

    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. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Power Solar Thermal-Electric Power Plants Energy Generationfrom new energy tech- nologies, including the solar-thermalsolar thermal- electric power plants and electrical energy

  16. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    calcu.lat energy consumption in passive solar houses havesolar heating form a major source of energy supply in the second scenario. The energy consumption

  17. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    we select three alternative energy futures for California inwith the ~J -xi- alternative energy futures in order toassess the impacts of alternative energy futures. In later

  18. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    we select three alternative energy futures for California inwith the ~J -xi- alternative energy futures in order tothe impacts of alternative energy futures. In later sections

  19. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Rand Corporation, "Energy Alternatives for California: PathsDoctor et aI. , "Energy Alternatives for California: PathsPrograms Energy Facility Alternatives Discussion . ,

  20. Canadian Industrial Energy End-use Data and Analysis

    E-Print Network [OSTI]

    technologies. CIEEDAC is responsible for the industrial energy data under this initiative. The Centre operates as part clearinghouse, part depository, and part analysis centre for energy data on the Canadian

  1. Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program

    SciTech Connect (OSTI)

    Belzer, D.; Mosey, G.; Dagher, L.; Plympton, P.

    2008-01-01

    Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As a local sponsor for HPwES, Austin Energy's HPwES program offers a complete home energy assessment and a list of recommendations for efficiency improvements, along with cost estimates. The owner can choose to implement only one or the complete set of energy conservation measures. Austin Energy facilitates the process by providing economic incentives to the homeowner through its HPwES Loan program and its HPwES Rebate program. In 2005, the total number of participants in both programs was approximately 1,400. Both programs are only available for improvements made by a participating HPwES contractor. The individual household billing data - encompassing more than 7,000 households - provided by Austin Energy provides a rich data set to estimate the impacts of its HPwES program. The length of the billing histories is sufficient to develop PRISM-type models of electricity use based on several years of monthly bills before and after the installation of the conservation measures. Individual household savings were estimated from a restricted version of a PRISM-type regression model where the reference temperature to define cooling (or heating degree days) was estimated along with other parameters. Because the statistical quality of the regression models varies across individual households, three separate samples were used to measure the aggregate results. The samples were distinguished on the basis of the statistical significance of the estimated (normalized) cooling consumption. A normalized measure of cooling consumption was based on average temperatures observed over the most recent nine-year period ending in 2006. This study provided a statistically rigorous approach to incorporating the variability of expected savings across the households in the sample together with the uncertainty inherent in the regression models used to estimate those savings. While the impact of the regression errors was found to be relatively small in these particular samples, this approach may be useful in future studies using individual household billing data. The median percentage savings for the largest sample of 6,000 households in the analysis was 32%, while the mean savings was 28%. Because the number of households in the sample is very large, the standard error associated with the mean percentage savings are very small, less than 1%. A conservative statement of the average savings is that is falls in the range of 25% to 30% with a high level of certainty. This preliminary analysis provides robust estimates of average program savings, but offers no insight into how savings may vary by type of conservation measure or whether savings vary by the amount of cooling electricity used prior to undertaking the measure. Follow-up researchers may want to analyze the impacts of specific ECMs. Households that use electricity for heating might also be separately analyzed. In potential future work several methodological improvements could also be explored. As mentioned in Section 2, there was no formal attempt to clean the data set of outliers and other abnormal patterns of billing data prior to the statistical analysis. The restriction of a constant reference temperature might also be relaxed. This approach may provide evidence as to whether any 'take-back' efforts are present, whereby thermostat settings are lowered during the summer months after the measures are undertaken (reflected in lower reference temperatures in the post-ECM period). A more extended analysis may also justify the investment in and use of the PRISM software package, which may provide more diagnostic measures with respect to the reference temperature. PRISM also appears to contain some built-in capability to detect outliers and other an

  2. Energy Use Loss and Opportunities Analysis: U.S. Manufacturing...

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

    energyuselossopportunitiesanalysis.pdf More Documents & Publications U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis Bandwidth Study U.S. Chemical...

  3. ITP Chemicals: Chemical Bandwidth Study - Energy Analysis: A...

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

    Chemical Bandwidth Study - Energy Analysis: A Powerful Tool for Identifying Process Inefficiencies in the U.S. Chemical Industry, Industrial Technologies Program, DRAFT Summary...

  4. Estimating Energy and Water Losses in Residential Hot WaterDistribution Systems

    SciTech Connect (OSTI)

    Lutz, James

    2005-02-26

    Residential single family building practice currently ignores the losses of energy and water caused by the poor design of hot water systems. These losses include; the waste of water while waiting for hot water to get to the point of use; the wasted heat as water cools down in the distribution system after a draw; and the energy needed to reheat water that was already heated once before. Average losses of water are estimated to be 6.35 gallons (24.0 L) per day. (This is water that is rundown the drain without being used while waiting for hot water.) The amount of wasted hot water has been calculated to be 10.9 gallons (41.3L) per day. (This is water that was heated, but either is not used or issued after it has cooled off.) A check on the reasonableness of this estimate is made by showing that total residential hot water use averages about 52.6 gallons (199 L) per day. This indicates about 20 percent of average daily hot water is wasted.

  5. Estimation of charm production cross section in hadronic interactions at high energies

    E-Print Network [OSTI]

    G. M. Vereshkov; Yu. F. Novoseltsev

    2004-04-24

    Results of processing experimental data on charm production in hadron-hadron interactions are presented. The analysis is carried out within the frame of phenomenological model of diffraction production and quark statistics based on additive quark model (AQM). In low energy region sqrt s = 20 - 40GeV, the cross sections si_ {pN to c bar cX} (s), si_ {pi N to c bar cX} (s) are fitted by logarithmic function with the parameters connected by relationship of AQM. At collider energies 200, 540, 900, 1800 GeV, the values of si_{bar pp to c bar cX} (s) were obtained by a quark statistics method from the data on diffraction dissociation. It is established, that logarithmic function with universal numerical parameters describes the whole set of low-energy and high-energy data with high accuracy. The expected values of cross sections are si_{pp to c bar cX} = 250 pm 40 mu b and 355 pm 57 mu b at TEVATRON energy sqrt {s} = 1.96 TeV and LHC energy sqrt {s} = 14 TeV accordingly. Opportunities of use of the obtained results for calibration of a flux of "prompt" muons in high-energy component of cosmic rays are discussed.

  6. 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.

    2006-01-01

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

  7. Energy Management and Cost Analysis in Residential Houses using Batteries

    E-Print Network [OSTI]

    Simunic, Tajana

    Energy Management and Cost Analysis in Residential Houses using Batteries Baris Aksanli and Tajana}@ucsd.edu Abstract--Residential energy consumption shows significant diurnal patterns that can be leveraged by energy if the batteries are not used in specific configurations. I. INTRODUCTION AND RELATED WORK Residential energy

  8. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands

    SciTech Connect (OSTI)

    Doris, E.; Lopez, A.; Beckley, D.

    2013-02-01

    This technical report uses an established geospatial methodology to estimate the technical potential for renewable energy on tribal lands for the purpose of allowing Tribes to prioritize the development of renewable energy resources either for community scale on-tribal land use or for revenue generating electricity sales.

  9. Analysis of advanced european nuclear fuel cycle scenarios including transmutation and economical estimates

    SciTech Connect (OSTI)

    Merino Rodriguez, I.; Alvarez-Velarde, F.; Martin-Fuertes, F. [CIEMAT, Avda. Complutense, 40, 28040 Madrid (Spain)

    2013-07-01

    In this work the transition from the existing Light Water Reactors (LWR) to the advanced reactors is analyzed, including Generation III+ reactors in a European framework. Four European fuel cycle scenarios involving transmutation options have been addressed. The first scenario (i.e., reference) is the current fleet using LWR technology and open fuel cycle. The second scenario assumes a full replacement of the initial fleet with Fast Reactors (FR) burning U-Pu MOX fuel. The third scenario is a modification of the second one introducing Minor Actinide (MA) transmutation in a fraction of the FR fleet. Finally, in the fourth scenario, the LWR fleet is replaced using FR with MOX fuel as well as Accelerator Driven Systems (ADS) for MA transmutation. All scenarios consider an intermediate period of GEN-III+ LWR deployment and they extend for a period of 200 years looking for equilibrium mass flows. The simulations were made using the TR-EVOL code, a tool for fuel cycle studies developed by CIEMAT. The results reveal that all scenarios are feasible according to nuclear resources demand (U and Pu). Concerning to no transmutation cases, the second scenario reduces considerably the Pu inventory in repositories compared to the reference scenario, although the MA inventory increases. The transmutation scenarios show that elimination of the LWR MA legacy requires on one hand a maximum of 33% fraction (i.e., a peak value of 26 FR units) of the FR fleet dedicated to transmutation (MA in MOX fuel, homogeneous transmutation). On the other hand a maximum number of ADS plants accounting for 5% of electricity generation are predicted in the fourth scenario (i.e., 35 ADS units). Regarding the economic analysis, the estimations show an increase of LCOE (Levelized cost of electricity) - averaged over the whole period - with respect to the reference scenario of 21% and 29% for FR and FR with transmutation scenarios respectively, and 34% for the fourth scenario. (authors)

  10. Performance analysis of symbol timing estimators for time-varying MIMO channels 

    E-Print Network [OSTI]

    Panduru, Flaviu Gabriel

    2004-11-15

    estimation limits are shown by several bounds: modified Cramer-Rao bound (MCRB), Cramer-Rao bound (CRB) and Barankin bound (BB). BB will be exploited to obtain accurate information regarding the necessary length of data to obtain good estimation. Two...

  11. A Method for energy estimation and mass composition determination of primary cosmic rays at Chacaltaya observation level based on atmospheric Cerenkov light technique

    E-Print Network [OSTI]

    S. Mavrodiev; A. Mishev; J. Stamenov

    2003-10-23

    A new method for energy and mass composition estimation of primary cosmic ray radiation based on atmospheric Cerenkov light flux in extensive air showers (EAS) analysis is proposed. The Cerenkov light flux in EAS initiated by primary protons and iron nuclei is simulated with CORSIKA 5.62 code for Chacaltaya observation level (536 g/cm2) in the energy range 10 TeV - 10 PeV. An adequate model, approximation of lateral distribution of Cerenkov light in showers is obtained. Using the proposed model and solution of overdetermined system of nonlinear equations based on Gauss Newton method with autoregularization, two different array detector arrangements are compared. The detector response for the detector sets is simulated. The accuracies in energy and shower axis determination are studied and the corresponding selection criteria are proposed. An approximation with nonlinear fit is obtained and the energy dependence of the proposed model function parameters is studied. The approximation of model parameters as function of the primary energy is carried out. This permits, taking into account the properties of the proposed method and model, to distinguish proton primaries from iron primaries. The detector response for the detector sets is simulated and the accuracies in energy determination are calculated. Moreover the accuracies in shower axis determination are studied and criteria in shower axis position estimation are proposed.

  12. First Year Analysis of Industrial Energy Conservation in Texas A&M's Energy Analysis and Diagnostic Center Program 

    E-Print Network [OSTI]

    Grubb, M. K.; Heffington, W. M.

    1988-01-01

    Laboratory, Department of Mechanical Engineering, Texas A&M University Texas Governor's Energy Management Center Louisiana Department of Natural Resources Center for Energy and Mineral Resources, Texas A&M University FIRST YEAR ANALYSIS OF INDUSTRIAL ENERGY... audits, an average of seven ECOs per audit. The 109 recommendations are divided into four groups: Electrical Energy ECOs, Natural Gas ECOs, Non-Energy Saving ECOs, and Opportunity ECOs. This paper will briefly discuss the EADC method of energy auditing...

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

    E-Print Network [OSTI]

    Martin, Timothy

    -relative-humidity-based two-source (ARTS) E model that simulates the surface energy balance, soil water balanceGlobal estimation of evapotranspiration using a leaf area index-based surface energy and water balance model H. Yan a, , S.Q. Wang b , D. Billesbach c , W. Oechel d , J.H. Zhang e , T. Meyers f , T

  14. Estimating the value of electricity storage in an energy-only wholesale Dylan McConnell a,b,

    E-Print Network [OSTI]

    Sandiford, Mike

    Estimating the value of electricity storage in an energy-only wholesale market Dylan McConnell a 2015 Received in revised form 14 August 2015 Accepted 2 September 2015 Keywords: Electricity storage in energy-only electricity markets. In this paper we explore the value of a price-taking storage device

  15. Multi-Year Analysis of Renewable Energy Impacts in California: Results from the Renewable Portfolio Standards Integration Cost Analysis; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Shiu, H.; Kirby, B.; Jackson, K.

    2006-08-01

    California's Renewable Portfolio Standard (RPS, Senate Bill 1078) requires the state's investor-owned utilities to obtain 20% of their energy mix from renewable generation sources. To facilitate the imminent increase in the penetration of renewables, the California Energy Commission (CEC), in support of the California Public Utility Commission (CPUC), initiated a study of integration costs in the context of RPS implementation. This effort estimated the impact of renewable generation in the regulation and load-following time scales and calculated the capacity value of renewable energy sources using a reliability model. The analysis team, consisting of researchers from the National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL) and the California Wind Energy Collaborative (CWEC), performed the study in cooperation with the California Independent System Operator (CaISO), the Pacific Gas and Electric Company (PG&E), and Southern California Edison (SCE). The study was conducted over three phases and was followed by an analysis of a multi-year period. This paper presents results from the multi-year analysis and the Phase III recommendations.

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

    E-Print Network [OSTI]

    Konopacki, S.J.

    2010-01-01

    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

  17. Realizing a Clean Energy Future: Highlights of NREL Analysis (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01

    Profound energy system transformation is underway. In Hawaiian mythology, Maui set out to lasso the sun in order to capture its energy. He succeeded. That may have been the most dramatic leap forward in clean energy systems that the world has known. Until now. Today, another profound transformation is underway. A combination of forces is taking us from a carbon-centric, inefficient energy system to one that draws from diverse energy sources - including the sun. NREL analysis is helping guide energy systems policy and investment decisions through this transformation. This brochure highlights NREL analysis accomplishments in the context of four thematic storylines.

  18. Karuk Tribe Strategic Energy Plan and Energy Options Analysis

    SciTech Connect (OSTI)

    Ramona Taylor, Karuk Tribe; David Carter, Winzler and Kelly

    2009-03-31

    Energy planning document to assist the Karuk Tribe in making educated decisions about future energy priorities and implementation.

  19. NREL: Energy Analysis - Levelized Cost of Energy Calculator

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

    distributed generation data used within this calculator. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database...

  20. Analysis Activities at National Renewable Energy Laboratory

    Broader source: Energy.gov [DOE]

    Presentation on NREL’s analysis activities to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004.

  1. Dynamical Systems Analysis of Various Dark Energy Models

    E-Print Network [OSTI]

    Nandan Roy

    2015-11-25

    In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.

  2. IDEA: INTERPOLATING DATA FOR ENERGY ANALYSIS Eleni Primikiri+

    E-Print Network [OSTI]

    Papalambros, Panos

    . Papalambros* + Taubman College of Architecture and Urban Planning * Department of Mechanical EngineeringIDEA: INTERPOLATING DATA FOR ENERGY ANALYSIS Eleni Primikiri+ , Michael Kokkolaras* and Panos Y. This paper presents a methodology of interpolating data for energy analysis to enable easier implementation

  3. Performance Validation and Energy Analysis of HVAC Systems using Simulation

    E-Print Network [OSTI]

    1 Performance Validation and Energy Analysis of HVAC Systems using Simulation Tim Salsbury and Rick This paper describes the concept of using simulation as a tool for performance validation and energy analysis and supervision of building systems in order to optimize operational performance. The paper describes one way

  4. Emergy Analysis of Sugarcane (energy crop) Water Management

    E-Print Network [OSTI]

    Ma, Lena

    diagrams Energy & Material Flow Data Emergy computations Analysis 5. Case Study #12;12Annual Southwest and Material Flow data #12;EmergyEvaluationTable 15 Unit Solar Solar Data EMERGY* EMERGY Note Item Unit (unitsEmergy Analysis of Sugarcane (energy crop) Water Management HENDRY COUNTY SUSTAINABLE BIOFUELS

  5. Dynamical Systems Analysis of Various Dark Energy Models

    E-Print Network [OSTI]

    Roy, Nandan

    2015-01-01

    In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.

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

    SciTech Connect (OSTI)

    Not Available

    1980-08-29

    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.

  7. ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01

    Corporation, "The Energy Supply Planning Model," Vols. I andFrancisco> CA, tiThe Energy Supply Plan- ning Model," Vols.Categories from Bechtel Energy Supply Planning Model. Total

  8. Alternative Estimation Procedures for Event-History Analysis: A Monte Carlo Study 

    E-Print Network [OSTI]

    Carroll, Glenn R; Hannan, Michael T; Tuma, Nancy Brandon; Warsavage, Barbara

    2015-08-15

    The authors compare alternative procedures for estimating parameters of event-history models: ordinary least squares, Kaplan-Meier least squares, maximum likelihood, and partial likelihood. They report results of simulations comparing maximum...

  9. ESTIMATION OF JUVENILE SALMON HABITAT IN PACIFIC RIM RIVERS USING MULTISCALAR REMOTE SENSING AND GEOSPATIAL ANALYSIS

    E-Print Network [OSTI]

    Montana, University of

    ESTIMATION OF JUVENILE SALMON HABITAT IN PACIFIC RIM RIVERS USING MULTISCALAR REMOTE SENSING) encompassing over 3 400 000 km2 and most North Pacific Rim (NPR) salmon rivers. Similar classifications were

  10. Comparative Analysis of the Cost Models Used for Estimating Renovation Costs of Universities in Texas 

    E-Print Network [OSTI]

    Faquih, Yaquta Fakhruddin

    2010-10-12

    Facility managers use various cost models and techniques to estimate the cost of renovating a building and to secure the required funds needed for building renovation. A literature search indicates that these techniques offer both advantages...

  11. Estimation of Voice Source and Vocal Tract Characteristics Based on Multi-Frame Analysis 

    E-Print Network [OSTI]

    Shiga, Yoshinori; King, Simon

    2003-01-01

    This paper presents a new approach for estimating voice source and vocal tract filter characteristics of voiced speech. When it is required to know the transfer function of a system in signal processing, the input and ...

  12. Simulating Urban Environments for Energy Analysis

    E-Print Network [OSTI]

    Weber, Gunther H.

    2014-01-01

    for energy supply and demand response. The concept isenergy incentives and demand response programs. We apply theand wind energy), demand response, elec- tric vehicles,

  13. Constructing Predictive Estimates for Worker Exposure to Radioactivity During Decommissioning: Analysis of Completed Decommissioning Projects - Master Thesis

    SciTech Connect (OSTI)

    Dettmers, Dana Lee; Eide, Steven Arvid

    2002-10-01

    An analysis of completed decommissioning projects is used to construct predictive estimates for worker exposure to radioactivity during decommissioning activities. The preferred organizational method for the completed decommissioning project data is to divide the data by type of facility, whether decommissioning was performed on part of the facility or the complete facility, and the level of radiation within the facility prior to decommissioning (low, medium, or high). Additional data analysis shows that there is not a downward trend in worker exposure data over time. Also, the use of a standard estimate for worker exposure to radioactivity may be a best estimate for low complete storage, high partial storage, and medium reactor facilities; a conservative estimate for some low level of facility radiation facilities (reactor complete, research complete, pits/ponds, other), medium partial process facilities, and high complete research facilities; and an underestimate for the remaining facilities. Limited data are available to compare different decommissioning alternatives, so the available data are reported and no conclusions can been drawn. It is recommended that all DOE sites and the NRC use a similar method to document worker hours, worker exposure to radiation (person-rem), and standard industrial accidents, injuries, and deaths for all completed decommissioning activities.

  14. Influence of Primary Cosmic Radiation Mass Composition on the Estimation of Eas Energy

    E-Print Network [OSTI]

    S. P. Knurenko; A. A. Ivanov; V. A. Kolosov; Z. E. Petrov; I. Ye. Sleptsov; G. G. Struchkov

    2005-07-07

    At the Yakutsk EAS array E_em is determined by using measurements of EAS Cherenkov light flux and charged particle flux. It is known from calculations that these characteristics depend on a sort of primary particle and, therefore, the estimation of E_em depends on a primary particle mass. In the work the dependence of the E_em/E_0 ratio on the energy is given and experimental data are compared with calculations by the QGSJET model. The calculations have been carried out for the primary proton and iron nucleus. The average calculated meaning of the value of E_em/E_0 ratio (between the proton and iron nucleus) within experimental errors is in agreement with experimental data that doesnt contradict to the mixed mass composition of primary cosmic radiation.

  15. Energy Use in the Australian Manufacturing Industry: An Analysis of Energy Demand Elasticity

    E-Print Network [OSTI]

    Energy Use in the Australian Manufacturing Industry: An Analysis of Energy Demand Elasticity Chris in this paper. Energy consumption data was sourced from the Bureau of Resources and Energy Economics' Australian Energy Statistics publication. Price and income data were sourced from the Australian Bureau

  16. Page 1 of 13 Understanding Industrial Energy Use Through Lean Energy Analysis

    E-Print Network [OSTI]

    Kissock, Kelly

    Page 1 of 13 11SDP-0048 Understanding Industrial Energy Use Through Lean Energy Analysis Abels, B statistical method to statistically disaggregate industrial energy use into production-dependent, weather improving model calibration, quantifying non-productive energy use and identifying energy efficiency

  17. Estimate of Cost-Effective Potential for Minimum Efficiency Performance Standards in 13 Major World Economies Energy Savings, Environmental and Financial Impacts

    E-Print Network [OSTI]

    Letschert, Virginie E.

    2013-01-01

    Retail Data Brazil – International Energy Initiative Life-business as usual Brazil Bottom-Up Energy Analysis Systemfor setting energy efficiency standards in Brazil:The case

  18. A Cyber Security Study of a SCADA Energy Management System: Stealthy Deception Attacks on the State Estimator

    E-Print Network [OSTI]

    Teixeira, André; Sandberg, Henrik; Johansson, Karl H

    2010-01-01

    The electrical power network is a critical infrastructure in today's society, so its safe and reliable operation is of major concern. State estimators are commonly used in power networks, for example, to detect faulty equipment and to optimally route power flows. The estimators are often located in control centers, to which large numbers of measurements are sent over unencrypted communication channels. Therefore cyber security for state estimators becomes an important issue. In this paper we analyze the cyber security of state estimators in supervisory control and data acquisition (SCADA) for energy management systems (EMS) operating the power network. Current EMS state estimation algorithms have bad data detection (BDD) schemes to detect outliers in the measurement data. Such schemes are based on high measurement redundancy. Although these methods may detect a set of basic cyber attacks, they may fail in the presence of an intelligent attacker. We explore the latter by considering scenarios where stealthy de...

  19. Simulating Urban Environments for Energy Analysis

    E-Print Network [OSTI]

    Weber, Gunther H.

    2014-01-01

    technologies that participate in energy systems. For example, the inclusion of renewables (especially solar and wind

  20. EnergyPlus Run Time Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2009-01-01

    types and configurations, plant equipment types and controls, service water heating systems, and renewable energy

  1. Analysis Activities at Fossil Energy/ National Energy Technology Laboratory

    Office of Energy Efficiency and Renewable Energy (EERE)

    Presentation on NETL’s analysis activities to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004.

  2. Energy Analysis of Four Wireless Sensor Network MAC Protocols

    E-Print Network [OSTI]

    Kinicki, Robert E.

    Energy Analysis of Four Wireless Sensor Network MAC Protocols Brian Bates, Andrew Keating, Robert which reduce radio energy consumption is important for wireless sensor networks (WSNs). The most-aware MAC protocols were implemented in TinyOS on TelosB motes. Indoor energy measurements over a single

  3. Modelling and Analysis of Wireless Sensor Networks with Energy

    E-Print Network [OSTI]

    Modelling and Analysis of Wireless Sensor Networks with Energy Harvesting Capabilities Nan Wu and energy harvesting may exceed the gain by using them. So, it can be seen as a trade-off in Wireless Sensor a generic modelling framework which can be used to model and analyze energy harvesting aware Wireless Sensor

  4. Automated Analysis of Performance and Energy Consumption for Cloud Applications

    E-Print Network [OSTI]

    Schneider, Jean-Guy

    Automated Analysis of Performance and Energy Consumption for Cloud Applications Feifei Chen, John providers is thus to develop resource provisioning and management solutions at minimum energy consumption system performance and energy consumption patterns in complex cloud systems is imperative to achieve

  5. Mycle Schneider Consulting Independent Analysis on Energy and Nuclear Policy

    E-Print Network [OSTI]

    Laughlin, Robert B.

    Mycle Schneider Consulting Independent Analysis on Energy and Nuclear Policy 45, allée des deux Mycle Schneider International Consultant on Energy and Nuclear Policy Paris, May 2009 This research the Author Mycle Schneider works as independent international energy nuclear policy consultant. Between 1983

  6. Waste-To-Energy Feasibility Analysis: A Simulation Model

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    Waste- To- Energy Feasibility Analysis: A Simulation Model Viet- An Duong College of Engineering://www.funginstitute.berkeley.edu/sites/default/ les/WasteToEnergy.pdf May 1, 2014 130 Blum Hall #5580 Berkeley, CA 94720-5580 | (510) 664-4337 | www-4337 | www.funginstitute.berkeley.edu #12;Abstract: The search for renewable and clean energies is one

  7. GLOBAL OPTIMIZATION AND ANALYSIS FOR THE GIBBS FREE ENERGY FUNCTION

    E-Print Network [OSTI]

    Neumaier, Arnold

    GLOBAL OPTIMIZATION AND ANALYSIS FOR THE GIBBS FREE ENERGY FUNCTION USING THE UNIFAC, WILSON equilibrium involves two important problems: (i) the minimization of the Gibbs free energy, and (ii of the Gibbs free energy. However, a drawback of all previous approaches is that they could not provide

  8. Supplying Renewable Energy to Deferrable Loads: Algorithms and Economic Analysis

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Supplying Renewable Energy to Deferrable Loads: Algorithms and Economic Analysis Anthony compares to price responsive demand in terms capacity gains and energy market revenues for renewable to renewable generation. I. INTRODUCTION Renewable power is emerging as a mainstream source of energy supply

  9. Analysis of Green Energy Options for The Phipps Conservatory

    E-Print Network [OSTI]

    Attari, Shahzeen Z.

    1 Analysis of Green Energy Options for The Phipps Conservatory Shahzeen Attari Elisabeth Gilmore power and thermal energy via on-site generation or purchases of renewable energy credits: 1) A 5kW solid and succulent plants. Presently, the conservatory is undergoing a major renovation and expansion. An explicit

  10. MATHEMATICAL ANALYSIS OF A WAVE ENERGY CONVERTER ARNAUD ROUGIREL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    MATHEMATICAL ANALYSIS OF A WAVE ENERGY CONVERTER MODEL ARNAUD ROUGIREL Abstract. In a context where for buoy-type ocean wave energy converter. The simplest model for this scheme is a non autonomous piecewise and periodic solutions, and compare the energy performance of this novel WEC with respect to the one of wave

  11. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01

    benefit analysis of offshore wind energy, Renewable Energy,sources. In contrast, offshore wind energy is currently 1.5–al. [2007] estimated offshore wind energy suitable to exceed

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

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01

    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.

  13. 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

    2006-01-01

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

  14. 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.

    2007-01-01

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

  15. 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.

    2006-01-01

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

  16. A Comparative Analysis of Predicting Energy Savings from Energy Service Projects 

    E-Print Network [OSTI]

    Kim, Amy A

    2014-05-01

    Occupancy Sensors PAFs Power Adjustment Factors PNNL Pacific Northwest National Laboratory RECS Residential Building Energy Consumption Survey RESEM Retrofit Energy Savings Estimation Model RFP Request For Proposal viii RMSE Root... Lawrence Berkeley National Laboratory (LBNL), the National Renewable Energy Laboratory (NREL), and the Pacific Northwest National Laboratory (PNNL) were reviewed, as well as reports from the Energy Systems Laboratory (ESL) at Texas A&M University were...

  17. Estimating rock properties in two phase petroleum reservoirs: an error analysis 

    E-Print Network [OSTI]

    Paul, Anthony Ian

    1983-01-01

    by the same amount from the true porosity value. In Fig. 5, the objective function is slightly better represented by the series approximation in 1/4. A Monte Carlo study was performed using the same history matching conditions as for the permeability... estimates were used in a Monte Carlo study to calculate the predicted well values, after the history matching period. The errors in the rock property estimates increases rapidly with an increasing number of unknowns. In many cases, even when large errors...

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

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01

    Table 12 Projected Primary Energy Savings between ReferenceEnergy (Primary Energy) .18 Figure 6 Primary Energy Consumption by End-Use in

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

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01

    construction,” Energy and Buildings 20: 205–217. Chau 2007.management in China,” Energy and Buildings (forthcoming).addition to operational energy, buildings embody the energy

  20. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  1. Understanding Manufacturing Energy Use Through Statistical Analysis 

    E-Print Network [OSTI]

    Kissock, J. K.; Seryak, J.

    2004-01-01

    Energy in manufacturing facilities is used for direct production of goods, space conditioning, and general facility support such as lighting. This paper presents a methodology for statistically analyzing plant energy use in terms of these major end...

  2. Analysis of alternative methods for estimating carbon stock in young tropical plantations

    E-Print Network [OSTI]

    Bermingham, Eldredge

    .2%, supporting our hypothesis. # 2003 Elsevier Science B.V. All rights reserved. Keywords: Carbon sequestration of these plantations to sequester carbon has received renewed interest, since carbon sequestration projects). A good estimate of carbon sequestration is essential to any project of this type. The rate of carbon

  3. 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.

    2012-09-28

    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.

  4. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Lefantzi, Sophia; Hough, Patricia Diane; Eddy, John P.

    2011-12-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the DAKOTA software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of DAKOTA-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of DAKOTA's iterative analysis capabilities.

  5. Error Estimation and Parameter Dependence of the Calculation of the Fast Ion Distribution Function, Temperature and Density using Data from the KF1 High Energy NPA on JET

    E-Print Network [OSTI]

    Error Estimation and Parameter Dependence of the Calculation of the Fast Ion Distribution Function, Temperature and Density using Data from the KF1 High Energy NPA on JET

  6. Recursive Pathways to Marginal Likelihood Estimation with Prior-Sensitivity Analysis

    E-Print Network [OSTI]

    Cameron, Ewan

    2013-01-01

    We investigate the utility to contemporary Bayesian studies of recursive, Gauss-Seidel-type pathways to marginal likelihood estimation characterized by reverse logistic regression and the density of states. Through a pair of illustrative, numerical examples (including mixture modeling of the well-known 'galaxy dataset') we highlight both the remarkable diversity of bridging schemes amenable to recursive normalization and the notable efficiency of the resulting pseudo-mixture densities for gauging prior-sensitivity in the model selection context. Our key theoretical contributions show the connection between the nested sampling identity and the density of states. Further, we introduce a novel heuristic ('thermodynamic integration via importance sampling') for qualifying the role of the bridging sequence in marginal likelihood estimation. An efficient pseudo-mixture density scheme for harnessing the information content of otherwise discarded draws in ellipse-based nested sampling is also introduced.

  7. A Multiband Generalization of the Analysis of Variance Period Estimation Algorithm and the Effect of Inter-band Observing Cadence on Period Recovery Rate

    E-Print Network [OSTI]

    Mondrik, Nicholas; Marshall, Jennifer L

    2015-01-01

    We present a new method of extending the single band Analysis of Variance period estimation algorithm to multiple bands. We use SDSS Stripe 82 RR Lyrae to show that in the case of low number of observations per band and non-simultaneous observations, improvements in period recovery rates of up to $\\approx$60\\% are observed. We also investigate the effect of inter-band observing cadence on period recovery rates. We find that using non-simultaneous observation times between bands is ideal for the multiband method, and using simultaneous multiband data is only marginally better than using single band data. These results will be particularly useful in planning observing cadences for wide-field astronomical imaging surveys such as LSST. They also have the potential to improve the extraction of transient data from surveys with few ($\\lesssim 30$) observations per band across several bands, such as the Dark Energy Survey.

  8. Analysis of Hydrogen and Competing Technologies for Utility-Scale Energy Storage (Presentation)

    SciTech Connect (OSTI)

    Steward, D.

    2010-02-11

    Presentation about the National Renewable Energy Laboratory's analysis of hydrogen energy storage scenarios, including analysis framework, levelized cost comparison of hydrogen and competing technologies, analysis results, and conclusions drawn from the analysis.

  9. Lean Analysis of Industrial Energy Assessment 

    E-Print Network [OSTI]

    Viera, R. J.; Lee, J.; McInerny, S.

    2015-01-01

    Energy Assessments Raul Viera, Jim Lee, Sally Ann McInerny, and Zahra Sardoueinasab Mechanical Engineering University of Louisiana at Lafayette IETC Conference June 2015 ESL-IE-15-06-19 Proceedings of the Thrity-Seventh Industrial Energy Technology... Conference New Orleans, LA. June 2-4, 2015 Research for a reason. LOUISIANA SMART AND SECURE ENERGY LABORATORY (LASSEL) Replacement to Louisiana Industrial Assessment Center (LIAC): • LIAC at UL Lafayette from1999-2012, Funded by the DOE • Last year...

  10. 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.

    2006-01-01

    time can be known so that its energy consumption can be estimated accurately. In order to verify the simulation accuracy, an actual room equipped with a gas-engine heat pump (GHP) air-conditioning system is studied by both simulation and measurement...

  11. 15-11-061ETSAP Energy Technology Systems Analysis

    E-Print Network [OSTI]

    Russian Natural Gas: Reform and Climate Policy (July 2006) The world's largest natural gas producer Policy Scenario to address energy security and environmental concerns. Based on the detailed analysis

  12. New Mexico: Solar Glare Hazard Analysis Tool Maximizes Energy...

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

    CSE Plug and Play: Purchase, Install, and Connect Residential Solar Power in Hours New Mexico: Solar Glare Hazard Analysis Tool Maximizes Energy Production, Wins R&D 100 Award...

  13. Commercial Property Assessed Clean Energy: A Comparative Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hosted by the Technical Assistance Program (TAP), this webinar, held on Feb. 26, 2015, focused on a comparative analysis of program design elements of existing Property Assessed Clean Energy (PACE) programs across the country.

  14. Energy and Greenhouse Impacts of Biofuels: A Framework for Analysis

    E-Print Network [OSTI]

    Kammen, Daniel M.; Farrell, Alexander E.; Plevin, Richard J.; Jones, Andrew D.; Nemet, Gregory F.; Delucchi, Mark A.

    2008-01-01

    Greenhouse Gas Impacts of Biofuels Wang, M. (2001) "Energy & Greenhouse Gas Impacts of Biofuels Fuels and MotorLifecycle Analysis of Biofuels." Report UCD-ITS-RR-06-08.

  15. Analysis of Energy Recovery Ventilator Savings for Texas Buildings 

    E-Print Network [OSTI]

    Christman, K. D.; Haberl, J. S.; Claridge, D. E.

    2009-01-01

    the energy and costs required to condition outside air to return-air conditions. This analysis does not consider interactions with the air-handling system; therefore the effects of economizers, reheat schemes, variable flow rates and other adaptive components...

  16. Maximum likelihood analysis of low energy CDMS II germanium data

    E-Print Network [OSTI]

    Agnese, R.

    We report on the results of a search for a Weakly Interacting Massive Particle (WIMP) signal in low-energy data of the Cryogenic Dark Matter Search experiment using a maximum likelihood analysis. A background model is ...

  17. Minimizing User Burden in Building Energy Analysis | Department...

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

    performance levels, etc. The analysis of single buildings will be based directly on EnergyPlus. For the modeling of extended urban areas involving an aggregate of buildings, TAI...

  18. The Energy Landscape Analysis of Cancer Mutations in Protein Kinases

    E-Print Network [OSTI]

    Dixit, Anshuman; Verkhivker, Gennady M.

    2011-10-06

    computer simulations and the energy landscape analysis of protein kinases to characterize the interplay between oncogenic mutations and locally frustrated sites as important catalysts of allostetric kinase activation. While structurally rigid kinase core...

  19. Energy Storage Fuel Cell Vehicle Analysis

    SciTech Connect (OSTI)

    Pesaran, A.; Markel, T.; Zolot, M.; Sprik, S.; Tataria, H.; Duong, T.

    2005-08-01

    In recent years, hydrogen fuel cell (FC) vehicle technology has received considerable attention as a strategy to decrease oil consumption and reduce harmful emissions. However, the cost, transient response, and cold performance of FC systems may present significant challenges to widespread adoption of the technology for transportation in the next 15 years. The objectives of this effort were to perform energy storage modeling with fuel cell vehicle simulations to quantify the benefits of hybridization and to identify a process for setting the requirements of ES for hydrogen-powered FC vehicles for U.S. Department of Energy?s Energy Storage Program.

  20. NREL Job Task Analysis: Energy Auditor

    SciTech Connect (OSTI)

    Kurnik, C.; Woodley, C.

    2011-05-01

    A summary of job task analyses for the position of energy auditor when evaluating a residence before and during weatherization work.

  1. U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis...

    Office of Environmental Management (EM)

    Manufacturing Energy Use and Greenhouse Gas Emissions Analysis U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis thumbenergyuselossemissionslg.gif How...

  2. An Analysis of Energy Savings Possible Through Advances in Automotive Tooling Technology

    SciTech Connect (OSTI)

    Rick Schmoyer, RLS

    2004-12-03

    The use of lightweight and highly formable advanced materials in automobile and truck manufacturing has the potential to save fuel. Advances in tooling technology would promote the use of these materials. This report describes an energy savings analysis performed to approximate the potential fuel savings and consequential carbon-emission reductions that would be possible because of advances in tooling in the manufacturing of, in particular, non-powertrain components of passenger cars and heavy trucks. Separate energy analyses are performed for cars and heavy trucks. Heavy trucks are considered to be Class 7 and 8 trucks (trucks rated over 26,000 lbs gross vehicle weight). A critical input to the analysis is a set of estimates of the percentage reductions in weight and drag that could be achieved by the implementation of advanced materials, as a consequence of improved tooling technology, which were obtained by surveying tooling industry experts who attended a DOE Workshop, Tooling Technology for Low-Volume Vehicle Production, held in Seattle and Detroit in October and November 2003. The analysis is also based on 2001 fuel consumption totals and on energy-audit component proportions of fuel use due to drag, rolling resistance, and braking. The consumption proportions are assumed constant over time, but an allowance is made for fleet growth. The savings for a particular component is then the product of total fuel consumption, the percentage reduction of the component, and the energy audit component proportion. Fuel savings estimates for trucks also account for weight-limited versus volume-limited operations. Energy savings are assumed to be of two types: (1) direct energy savings incurred through reduced forces that must be overcome to move the vehicle or to slow it down in braking. and (2) indirect energy savings through reductions in the required engine power, the production and transmission of which incur thermodynamic losses, internal friction, and other inefficiencies. Total savings for an energy use component are estimated by scaling up the direct savings with an approximate total-to-direct savings ratio. Market penetration for new technology vehicles is estimated from projections about scrappage. Retrofit savings are assumed negligible, but savings are also assumed to accrue with increases in the fleet size, based on economic growth forecasts. It is assumed that as vehicles in the current fleet are scrapped, they are replaced with advanced-technology vehicles. Saving estimates are based on proportions of new vehicles, rather than new-vehicle mileages. In practice, of course, scrapped vehicles are often replaced with used vehicles, and used vehicles are replaced with new vehicles. Because new vehicles are typically driven more than old, savings estimates based on count rather than mileage proportions tend to be biased down (i.e., conservative). Savings are expressed in terms of gallons of fuel saved, metric tons of CO2 emissions reductions, and percentages relative to 2001 levels of fuel and CO2. The sensitivity of the savings projections to inputs such as energy-audit proportions of fuel consumed for rolling resistance, drag, braking, etc. is assessed by considering different scenarios. Though based on many approximations, the estimates approximate the potential energy savings possible because of improvements in tooling. For heavy trucks, annual diesel savings of 2.4-6.8 percent, and cumulative savings on the order of 54-154 percent, of 2001 consumption could accrue by 2050. By 2050, annual gasoline savings of 2.8-12 percent, and cumulative savings on the order of 83-350 percent of 2001 consumption could accrue for cars.

  3. Geopressured Geothermal Resource and Recoverable Energy Estimate for the Wilcox and Frio Formations, Texas (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2011-10-01

    An estimate of the total and recoverable geopressured geothermal resource of the fairways in the Wilcox and Frio formations is made using the current data available. The flow rate of water and methane for wells located in the geopressured geothermal fairways is simulated over a 20-year period utilizing the TOUGH2 Reservoir Simulator and research data. The model incorporates relative permeability, capillary pressure, rock compressibility, and leakage from the bounding shale layers. The simulations show that permeability, porosity, pressure, sandstone thickness, well spacing, and gas saturation in the sandstone have a significant impact on the percent of energy recovered. The results also predict lower average well production flow rates and a significantly higher production of natural gas relative to water than in previous studies done from 1975 to 1980. Previous studies underestimate the amount of methane produced with hot brine. Based on the work completed in this study, multiphase flow processes and reservoir boundary conditions greatly influence the total quantity of the fluid produced as well as the ratio of gas and water in the produced fluid.

  4. Energy savings estimates and cost benefit calculations for high performance relocatable classrooms

    E-Print Network [OSTI]

    Rainer, Leo I.; Hoeschele, Marc A.; Apte, Michael G.; Shendell, Derek G.; Fisk, William J.

    2003-01-01

    23 Table 8: Annual HVAC Source Energy, Cost, and SavingsHVAC Source Energy, Cost, &Savings Projections.. 258: Annual HVAC Source Energy, Cost, and Savings Projections

  5. Methodological Issues in the Estimation of the Travel, Energy, and Air Quality Impacts of Telecommuting

    E-Print Network [OSTI]

    Mokhtarian, Patricia; Handy, Susan; Salomon, Ilan

    1995-01-01

    have analyzed the air quality and energy impacts, but mostits travel, air quality, and energy impacts, and illustrateTHE TRAVEL, ENERGY, AND AIR QUALITY IMPACTS OF TELECOMMUTING

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

    E-Print Network [OSTI]

    Fridley, David G.

    2008-01-01

    from the Long-Range Energy Alternatives Planning (LEAP) end-using the Long-Range Energy Alternatives Planning (LEAP)Energy Modeling. 10 Reference and Alternative

  7. Essays on the structural estimation and analysis of corporate and industrial markets

    E-Print Network [OSTI]

    Cohen, Moshe Aharon

    2009-01-01

    The three chapters which comprise my thesis are a collection of essays on the analysis of the corporate governance and airline markets and of the federal appellate structure. In Chapter 1, I use a discrete choice framework ...

  8. Comparison of Canopy Cover Estimation Using Densiometer and Photo Analysis Software

    E-Print Network [OSTI]

    Brown, Sally

    of the canopy with a digital camera with a basic lens and then using photo analysis software to determine Determined if transformation was appropriate based on qq plots and Shapiro-Wilk normality test Ran offset

  9. Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP): An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025.

    SciTech Connect (OSTI)

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wi

    2009-09-01

    Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.

  10. Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP): An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect (OSTI)

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

    2009-09-01

    Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.

  11. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect (OSTI)

    Hale, E.; Macumber, D.; Weaver, E.; Shekhar, D.

    2012-09-01

    In the building energy research and advanced practitioner communities, building models are perturbed across large parameter spaces to assess energy and cost performance in the face of programmatic and economic constraints. This paper describes the OpenStudio software framework for performing such analyses.

  12. R&D 100 Award -- TREAT with SUNREL (TM) Energy Analysis Software

    SciTech Connect (OSTI)

    Not Available

    2005-10-01

    Factsheet about the 2005 R&D Award for TREAT with SUNREL Energy Analysis Software for home energy audits.

  13. Energy use in Poland, 1970--1991: Sectoral analysis and international comparison

    SciTech Connect (OSTI)

    Meyers, S.; Schipper, L.; Salay, J.

    1993-07-01

    This report provides an analysis of how and why energy use has changed in Poland since the 1970s, with particular emphasis on changes since the country began its transition from a centrally planned to a market economy in 1989. The most important factors behind the large decline in Polish energy use in 1990 were a sharp fall in industrial output and a huge drop in residential coal use driven by higher prices. The structural shift away from heavy industry was slight. Key factors that worked to increase energy use were the rise in energy intensity in many heavy industries and the shift toward more energy intensive modes of transport. The growth in private activities in 1991 was nearly sufficient to balance out continued decline in industrial energy use in that year. We compared energy use in Poland and the factors that shape it with similar elements in the West. We made a number of modifications to the Polish energy data to bring it closer to a Western energy accounting framework, and augmented these with a variety of estimates in order to construct a sufficiently detailed portrait of Polish energy use to allow comparison with Western data. Per capita energy use in Poland was not much below W. European levels despite Poland`s much lower GDP per capita. Poland has comparatively high energy intensities in manufacturing and residential space heating, and a large share of heavy industries in manufacturing output, all factors that contribute to higher energy use per capita. The structure of passenger and freight transportation and the energy intensity of automobiles contribute to lower energy use per capita in Poland than in Western Europe, but the patterns in Poland are moving closer to those that prevail in the West.

  14. Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data

    E-Print Network [OSTI]

    de Miguel, Alejandro Sánchez; Castaño, José Gómez; Pascual, Sergio

    2013-01-01

    We present the results of the analysis of satellite imagery to study light pollution in Spain. Both calibrated and non-calibrated DMSP-OLS images were used. We describe the method to scale the non-calibrated DMSP-OLS images which allows us to use differential photometry techniques in order to study the evolution of the light pollution. Population data and DMSP-OLS satellite calibrated images for the year 2006 were compared to test the reliability of official statistics in public lighting consumption. We found a relationship between the population and the energy consumption which is valid for several regions. Finally the true evolution of the electricity consumption for street lighting in Spain from 1992 to 2010 was derived, it have been doubled in the last 18 years in most of the provinces.

  15. Policy Analysis Landfill-Gas-to-Energy Projects

    E-Print Network [OSTI]

    Jaramillo, Paulina

    perspectives in comparison to current subsidies. It was found that the private breakeven price of electricityPolicy Analysis Landfill-Gas-to-Energy Projects: Analysis of Net Private and Social Benefits P A U gas also has the potential to be used to generate electricity.In1994,the

  16. Cyber Security Analysis of State Estimators in Electric Power Systems Andre Teixeira, Saurabh Amin, Henrik Sandberg, Karl H. Johansson, and Shankar S. Sastry

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Cyber Security Analysis of State Estimators in Electric Power Systems Andr´e Teixeira, Saurabh Amin, Henrik Sandberg, Karl H. Johansson, and Shankar S. Sastry Abstract-- In this paper, we analyze the cyber security of state estimators in Supervisory Control and Data Acquisition (SCADA) systems operating in power

  17. Proceedings of the 1991 Socioeconomic Energy Research and Analysis Conference

    SciTech Connect (OSTI)

    Not Available

    1993-07-01

    These proceedings analyze US energy policy as it pertains to minority groups. Example topics include: Economic impacts of the National Energy Strategy on minority and majority households, Utility measures to assist payment-troubled customers, Equity impacts of controlling energy usage through market-based versus regulatory approaches, Technical and planning support for the DOE-HUD initiative for energy efficiency in housing, an analysis of residential energy consumption and expenditures by minority households by home type and housing vintage, and methodical issues in evaluating integrated least cost planning programs.

  18. Prairie View A&M University Whole Campus Energy Analysis 

    E-Print Network [OSTI]

    Haberl, J. S.; Claridge, D. E.; Turner, W. D.

    1991-01-01

    Prairie View A&M University started a large scale energy management program in 1987 and 1988. This report presents an analysis of whole-campus energy consumption at the Prairie View A&M Campus where whole-campus indices were developed that normalize...

  19. IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS SHIELDING MATERIAL: 60% W + 40% He vs SHIELDING Nicholas Souchlas, PBL (10/18/2011) 1 #12;IDS120h with shielding vessels. # Different cases ENERGY CUTOFF >SHIELDING: 60% W + 40% He , 80% W + 20% He, 88% W + 12% He ( WITH W VESSELS) >4 MW proton

  20. Analysis of the Russian Market for Building Energy Efficiency

    SciTech Connect (OSTI)

    Lychuk, Taras; Evans, Meredydd; Halverson, Mark A.; Roshchanka, Volha

    2012-12-01

    This report provides analysis of the Russian energy efficiency market for the building sector from the perspective of U.S. businesses interested in exporting relevant technologies, products and experience to Russia. We aim to help U.S. energy efficiency and environmental technologies businesses to better understand the Russian building market to plan their market strategy.