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1

Efficiency of TTAC's ORTEC IDM  

Science Conference Proceedings (OSTI)

ORNL's Technical Testing and Analysis Center (TTAC) acquired a High Purity Germanium Detector (HPGe) from ORTEC - a variant called an Interchangeable Detection Module (IDM). This detector has excellent energy resolution as well as high intrinsic efficiency. The purpose of this report is to detail the determination of the efficiency curve of the IDM, so future measurements can quantify the (otherwise unknown) activity of sources. Without such a curve, the activity cannot be directly reported by use of the IDM alone - a separate device such as an ion chamber would be required. This builds upon the capability of TTAC. The method for determining the energy-dependent intrinsic efficiency is laid-out in this report. It's noteworthy that this basic technique can be applied to any spectroscopic radiation detector, independent of the specific type (e.g. NaI, CzT, ClYC).

Livesay, Jake [ORNL; Combs, Jason C [ORNL; Margrave, Timothy E [ORNL; Miller, Ian J [ORNL

2012-08-01T23:59:59.000Z

2

Integrated DWPF Melter System (IDMS) campaign report: Hanford Waste Vitrification Plan (HWVP) process demonstration  

Science Conference Proceedings (OSTI)

Vitrification facilities are being developed worldwide to convert high-level nuclear waste to a durable glass form for permanent disposal. Facilities in the United States include the Department of Energy`s Defense Waste Processing Facility (DWPF) at the Savannah River Site, the Hanford Waste Vitrification Plant (HWVP) at the Hanford Site and the West Valley Demonstration Project (WVDP) at West Valley, NY. At each of these sites, highly radioactive defense waste will be vitrified to a stable borosilicate glass. The DWPF and WVDP are near physical completion while the HWVP is in the design phase. The Integrated DWPF Melter System (IDMS) is a vitrification test facility at the Savannah River Technology Center (SRTC). It was designed and constructed to provide an engineering-scale representation of the DWPF melter and its associated feed preparation and off-gas treatment systems. Because of the similarities of the DWPF and HWVP processes, the IDMS facility has also been used to characterize the processing behavior of a reference NCAW simulant. The demonstration was undertaken specifically to determine material balances, to characterize the evolution of offgas products (especially hydrogen), to determine the effects of noble metals, and to obtain general HWVP design data. The campaign was conducted from November, 1991 to February, 1992.

Hutson, N.D.

1992-08-10T23:59:59.000Z

3

Hydrogen generation during IDMS demonstrations of the Late Washing and Nitric Acid flowsheets  

DOE Green Energy (OSTI)

Recently, Late Washing (LW) and Nitric Acid (NA) flowsheets, developed respectively for the DWPF at Savannah River Technology Center SPC and CPC, were demonstrated in the one-fifth scale DWPF pilot facilities, PHEF and IDMS. Using the LW flowsheet, four runs in the PHEF produced enough PHA for two runs in the IDMS (denoted by PX4 and PX5). One of the objectives of these IDMS runs was to obtain peak hydrogen generation rates and compare them to the peak hydrogen generation rate design basis obtained from a previous IDMS run, based on the HAN and Formic Acid (HAN-FA) flowsheets.

Ritter, J.A.

1992-10-19T23:59:59.000Z

4

Estimating Renewable Energy Costs | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis 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 require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

5

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

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.

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

2011-03-10T23:59:59.000Z

6

Integrated DWPF Melter System (IDMS) campaign report: The first two noble metals operations  

DOE Green Energy (OSTI)

The Integrated DWPF Melter System (IDMS) is designed and constructed to provide an engineering-scale representation of the DWPF melter and its associated feed preparation and off-gas systems. The facility is the first pilot-scale melter system capable of processing mercury, and flowsheet levels of halides and noble metals. In order to characterize the processing of noble metals (Pd, Rh, Ru, and Ag) on a large scale, the IDMS will be operated batchstyle for at least nine feed preparation cycles. The first two of these operations are complete. The major observation to date occurred during the second run when significant amounts of hydrogen were evolved during the feed preparation cycle. The runs were conducted between June 7, 1990 and March 8, 1991. This time period included nearly six months of ``fix-up`` time when forced air purges were installed on the SRAT MFT and other feed preparation vessels to allow continued noble metals experimentation.

Hutson, N.D.; Zamecnik, J.R.; Smith, M.E.; Miller, D.H.; Ritter, J.A.

1991-06-06T23:59:59.000Z

7

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1996-10-01T23:59:59.000Z

8

Table CT1. Energy Consumption Estimates for Major Energy Sources ...  

U.S. Energy Information Administration (EIA)

R A D O. U.S. Energy Information Administration State Energy Data 2011: Consumption 89 Table CT6. Industrial Sector Energy Consumption Estimates, Selected Years, 1960 ...

9

Table CT1. Energy Consumption Estimates for Major Energy ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration State Energy Data 2011: Consumption 365 Table CT2. Primary Energy Consumption Estimates, Selected Years, 1960-2011, North ...

10

Building Energy Software Tools Directory: Energy Estimation Software with  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation logo. Energy Estimation Software for Fan and Pumping Applications estimates energy savings achieved when using a variable frequency drive instead of conventional control methods for fan and pumping applications. The results can be viewed in graphical format and text format and the software has built-in functions to generate an energy estimation report especially designed for consultants. The energy estimator software is available in two editions: Single System Edition This edition allows users to estimate energy savings for a single fan or pump system and generate a multi-page report based on the estimated savings. Project Edition This edition allows users to estimate energy savings of a single fan or

11

The National Energy Modeling System: An Overview 2000 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing industries, subject to delivered prices of energy and macroeconomic variables representing the value of output for each industry. The module includes industrial cogeneration of electricity that is either used in the industrial sector or sold to the electricity grid. The IDM structure is shown in Figure 7. Figure 7. Industrial Demand Module Structure Industrial energy demand is projected as a combination of “bottom up” characterizations of the energy-using technology and “top down” econometric estimates of behavior. The influence of energy prices on industrial energy consumption is modeled in terms of the efficiency of use of existing capital, the efficiency of new capital acquisitions, and the mix of fuels utilized, given existing capital stocks. Energy conservation from technological change is represented over time by trend-based “technology possibility curves.” These curves represent the aggregate efficiency of all new technologies that are likely to penetrate the future markets as well as the aggregate improvement in efficiency of 1994 technology.

12

State energy data report 1993: Consumption estimates  

SciTech Connect

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.

NONE

1995-07-01T23:59:59.000Z

13

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

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.

Not Available

1993-05-01T23:59:59.000Z

14

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1997-12-01T23:59:59.000Z

15

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

16

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis 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 courtesy of iStockphoto.com/wh1600. 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 courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

17

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis 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 courtesy of iStockphoto.com/wh1600. 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 courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

18

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (OSTI)

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.

NONE

1999-02-01T23:59:59.000Z

19

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

Retrofit Energy Savings Estimation Model Retrofit Energy Savings Estimation Model Jump to: navigation, search Tool Summary Name: Retrofit Energy Savings Estimation Model Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: btech.lbl.gov/tools/resem/resem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model[1] Logo: Retrofit Energy Savings Estimation Model RESEM, the Retrofit Energy Savings Estimation Model, is a PC-based tool designed to allow Department of Energy (DOE) Institutional Conservation Program (ICP) staff and participants to reliably determine the energy savings directly caused by ICP-supported retrofit measures implemented in a

20

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Appliance and Home Electronic Energy Use Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis 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 courtesy of iStockphoto.com/wh1600. 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 courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Estimates of US biomass energy consumption 1992  

DOE Green Energy (OSTI)

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.

Not Available

1994-05-06T23:59:59.000Z

22

SEDS: State Energy Production Estimates  

U.S. Energy Information Administration (EIA)

Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity. ... Production. by state and for the United States; by energy source;

23

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

24

State energy data report 1992: Consumption estimates  

SciTech Connect

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.

Not Available

1994-05-01T23:59:59.000Z

25

Figure 1.6 State-Level Energy Consumption Estimates and Estimated ...  

U.S. Energy Information Administration (EIA)

Figure 1.6 State-Level Energy Consumption Estimates and Estimated Consumption per Capita, 2010 Consumption Consumption per Capita

26

Geothermal Energy: National Estimate for Direct Use  

DOE Green Energy (OSTI)

The purpose of this report is to present the first national estimate of direct geothermal energy use based upon an aggregation of site-specific analyses of all known geothermal resources. The conclusions are: (1) Geothermal energy can make a significant contribution can to the nation's low temperature energy needs and lessen dependence on foreign energy sources. (2) Federal tax incentives and regulatory easement will enhance the development of geothermal energy in the U.S. (3) District heating applications will constitute the major portion of geothermal market penetration. (4) Most development will occur in the western U.S.

None

1980-12-01T23:59:59.000Z

27

Geothermal Energy: National Estimate for Direct Use  

SciTech Connect

The purpose of this report is to present the first national estimate of direct geothermal energy use based upon an aggregation of site-specific analyses of all known geothermal resources. The conclusions are: (1) Geothermal energy can make a significant contribution can to the nation's low temperature energy needs and lessen dependence on foreign energy sources. (2) Federal tax incentives and regulatory easement will enhance the development of geothermal energy in the U.S. (3) District heating applications will constitute the major portion of geothermal market penetration. (4) Most development will occur in the western U.S.

1980-12-01T23:59:59.000Z

28

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

29

Estimated United States Transportation Energy Use 2005  

DOE Green Energy (OSTI)

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.

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

2011-11-09T23:59:59.000Z

30

Estimating Marginal Residential Energy Prices in the Analysis...  

NLE Websites -- All DOE Office Websites (Extended Search)

Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed...

31

Utility Savings Estimators | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

the Utility Savings Estimators: Commercial Estimator | Residential Estimator (These *.zip files contain the Microsoft Excel macro-enabled (*.xlsm) estimator files. You will...

32

Federal Energy Management Program: Estimate and Analyze Greenhouse...  

NLE Websites -- All DOE Office Websites (Extended Search)

Estimate and Analyze Greenhouse Gas Mitigation Strategy Implementation Costs to someone by E-mail Share Federal Energy Management Program: Estimate and Analyze Greenhouse Gas...

33

Estimating Risk to California Energy Infrastructure From Projected...  

NLE Websites -- All DOE Office Websites (Extended Search)

Risk to California Energy Infrastructure From Projected Climate Change Title Estimating Risk to California Energy Infrastructure From Projected Climate Change Publication Type...

34

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

35

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

36

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1e Transportation Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

37

Swarm intelligence approaches to estimate electricity energy demand in Turkey  

Science Conference Proceedings (OSTI)

This paper proposes two new models based on artificial bee colony (ABC) and particle swarm optimization (PSO) techniques to estimate electricity energy demand in Turkey. ABC and PSO electricity energy estimation models (ABCEE and PSOEE) are developed ... Keywords: Ant colony optimization, Artificial bee colony, Electricity energy estimation, Particle swarm optimization, Swarm intelligence

Mustafa Servet K?Ran; Eren Zceylan; Mesut GNdZ; Turan Paksoy

2012-12-01T23:59:59.000Z

38

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network (OSTI)

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University-economy models; Calibration; Consumer behaviour; Uncertainty; Energy policy Subject Terms: Energy policy Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy

39

Additional Resources for Estimating Building Energy and Cost Savings to  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of building types using the most common technologies.

40

An Estimate of Residential Energy Savings From IECC Change Proposals  

NLE Websites -- All DOE Office Websites (Extended Search)

An Estimate of Residential Energy Savings From IECC Change Proposals An Estimate of Residential Energy Savings From IECC Change Proposals Recommended for Approval at the ICC's Fall, 2009, Initial Action Hearings The U.S. Department of Energy (DOE) has established ambitious goals to improve the energy efficiency requirements of the International Energy Conservation Code (IECC) for residential buildings. DOE has established near- and long-term goals of 30% and 50% energy efficiency improvements, respectively, compared to the 2006 IECC. This report presents DOE's approach to calculating residential energy consumption for the purpose of estimating energy savings attributable to improvements in the code. This approach is then used to estimate the national average energy savings, relative to the 2006 IECC, resulting from the proposed improvements DOE submitted and supported for the 2012 IECC.

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

42

Table E1. Estimated Primary Energy Consumption in the United ...  

U.S. Energy Information Administration (EIA)

Table E1. Estimated Primary Energy Consumption in the United States, Selected Years, 1635-1945 (Quadrillion Btu) Year: Fossil Fuels

43

ESTIMATION OF ENERGY SAVINGS RESULTING FROM THE BESTPRACTICES...  

NLE Websites -- All DOE Office Websites (Extended Search)

27 ESTIMATION OF ENERGY SAVINGS RESULTING FROM THE BESTPRACTICES PROGRAM, FISCAL YEAR 2002 September 2003 Lorena F. Truett Michaela A. Martin Bruce E. Tonn DOCUMENT AVAILABILITY...

44

An Estimate of Residential Energy Savings From IECC Change Proposals...  

NLE Websites -- All DOE Office Websites (Extended Search)

Development Adoption Compliance Regulations Resource Center An Estimate of Residential Energy Savings From IECC Change Proposals Recommended for Approval at the ICC's Fall,...

45

Estimating the Meridional Energy Transports in the Atmosphere and Ocean  

Science Conference Proceedings (OSTI)

The poleward energy transports in the atmosphereocean system are estimated for the annual mean and the four seasons based on satellite measurements of the net radiation balance at the top of the atmosphere, atmospheric transports of energy at ...

B. C. Carissimo; A. H. Oort; T. H. Vonder Haar

1985-01-01T23:59:59.000Z

46

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Conference Proceedings (OSTI)

Energy flux is a fundamental quantity for understanding internal wave generation, propagation, and dissipation. In this paper, the estimation of internal wave energy fluxes u?p? from ocean observations that may be sparse in either time or depth ...

Jonathan D. Nash; Matthew H. Alford; Eric Kunze

2005-10-01T23:59:59.000Z

47

Estimates of U.S. Biomass Energy Consumption 1992  

Reports and Publications (EIA)

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.

Fred Mayes

1994-05-01T23:59:59.000Z

48

Table PT1. Energy Production Estimates in Physical Units, New ...  

U.S. Energy Information Administration (EIA)

Energy Production Estimates in Physical Units, New Mexico, 1960 - 2011 1960 295 798,928 107,380 NA 1961 412 789,662 112,553 NA ... Fossil Fuels Renewable Energy

49

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (Extended Search)

Status Report - Savings Estimates for the ENERGY STAR Voluntary Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Date Published 11/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2008) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR includes more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2007, what we expect in 2008, and provide savings forecasts for the periods 2008 to 2015 and 2008 to 2025. The forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic ENERGY STAR unit sales for each of the products.

50

State energy data report: Consumption estimates, 1960--1990  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, 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.

Not Available

1992-05-15T23:59:59.000Z

51

Estimating the Potential Impact of Renewable Energy on the Caribbean  

E-Print Network (OSTI)

and renewable energy incentive programs available within the territory and highlights the immediate need for specific policy related to VI energy strategy. The development of indigenous sources of clean energy may Estimating the Potential Impact of Renewable Energy on the Caribbean Job Sector Rebekah Shirley

Kammen, Daniel M.

52

Rapid Energy Estimation of Computations on FPGA based Soft Processors  

E-Print Network (OSTI)

such energy performance, we propose a methodology based on instruction level energy profiling. We first, techniques that can quickly and ac- curately obtain the energy dissipation of the software programs executing1 Rapid Energy Estimation of Computations on FPGA based Soft Processors Jingzhao Ou and Viktor K

Hwang, Kai

53

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

2010 Price and Expenditure Summary Tables. Table E1. Primary Energy, Electricity, ... Ranked by State, 2010 Rank Prices Expenditures Expenditures per Person State

54

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

EstimatedTime EstimatedTime Jump to: navigation, search Property Name EstimatedTime Property Type Quantity Description An estimate of a particular chronological span, uses the Type:Epoch. Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Subproperties This property has the following 35 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board

55

Rapid energy estimation of computations on FPGA based soft processors  

E-Print Network (OSTI)

Abstract FPGA based soft processors are an attractive option for implementing embedded applications. As energy efficiency has become a key performance metric, techniques that can quickly and accurately obtain the energy performance of these soft processors are needed. While low-level simulation based on traditional FPGA design flow is too time consuming for obtaining such energy performance, we propose a methodology based on instruction level energy profiling. We first analyze the energy dissipation of various instructions. An energy estimator is built using this information. To illustrate the effectiveness of our approach, the energy performance of several FFT and matrix multiplication software programs running on a state-of-the-art soft processor is evaluated using the estimator. Compared with the results obtained through low-level simulation, an average estimation error of 5.9 % is observed in our experiments. I.

Jingzhao Ou; Viktor K. Prasanna

2004-01-01T23:59:59.000Z

56

Evaluation of an Incremental Ventilation Energy Model for Estimating  

NLE Websites -- All DOE Office Websites (Extended Search)

Evaluation of an Incremental Ventilation Energy Model for Estimating Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Title Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Publication Type Report LBNL Report Number LBNL-5796E Year of Publication 2012 Authors Logue, Jennifer M., William J. N. Turner, Iain S. Walker, and Brett C. Singer Date Published 06/2012 Abstract Changing the rate of airflow through a home affects the annual thermal conditioning energy.Large-scale changes to airflow rates of the housing stock can significantly alter the energy consumption of the residential energy sector. However, the complexity of existing residential energy models hampers the ability to estimate the impact of policy changes on a state or nationwide level. The Incremental Ventilation Energy (IVE) model developed in this study was designed to combine the output of simple airflow models and a limited set of home characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modelers to use existing databases of home characteristics to determine the impact of policy on ventilation at a population scale. In this report, we describe the IVE model and demonstrate that its estimates of energy change are comparable to the estimates of a well-validated, complex residential energy model when applied to homes with limited parameterization. Homes with extensive parameterization would be more accurately characterized by complex residential energy models. The demonstration included a range of home types, climates, and ventilation systems that cover a large fraction of the residential housing sector.

57

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. 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 U.S. 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." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energy consumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

58

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

E-Print Network (OSTI)

Estimating Total Energy Consumption and Emissions of Chinasof Chinas total energy consumption mix. However, accuratelyof Chinas total energy consumption, while others estimate

Fridley, David G.

2008-01-01T23:59:59.000Z

59

EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

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

If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page EIA Home > Transportation Home Page > Appendix B Estimation MethodologiesIntroduction Appendix B Estimation Methodologies Introduction Statistics concerning vehicle miles traveled (VMT), vehicle fuel efficiency (given in terms of miles per gallon (MPG)), vehicle fuel consumption, and vehicle fuel expenditures are presented in this report. The methodology used to estimate these statistics relied on data from the 1993 Residential Energy Consumption Survey (RECS), the 1994 Residential Transportation Energy Consumption Survey (RTECS), the U.S. Environmental Protection Agency (EPA) fuel efficiency test results, the U.S. Bureau of Labor Statistics (BLS) retail pump price series, and the Lundberg Survey, Inc., price series for 1994.

60

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (Extended Search)

5 Status Report - Savings Estimates for the ENERGY STAR Voluntary 5 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 35 Date Published 03/2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2005) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), Energy Star labels exist for more than forty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2004, what we expect in 2005, and provide savings forecasts for two market penetration scenarios for the periods 2005 to 2010 and 2005 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (Extended Search)

7 Status Report - Savings Estimates for the ENERGY STAR Voluntary 7 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published 03/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2007) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2006, what we expect in 2007, and provide savings forecasts for two market penetration scenarios for the periods 2007 to 2015 and 2007 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

62

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

NLE Websites -- All DOE Office Websites (Extended Search)

6 Status Report - Savings Estimates for the ENERGY STAR Voluntary 6 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published March 2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2006) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2005, what we expect in 2006, and provide savings forecasts for two market penetration scenarios for the periods 2006 to 2015 and 2006 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

63

Table PT1. Energy Production Estimates in Physical Units, Michigan ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Michigan, 1960 - 2011 1960 0 20,790 15,899 NA 1961 0 27,697 18,901 NA 1962 0 28,987 17,114 NA

64

Radiative Energy Budget Estimates for the 1979 Southwest Summer Monsoon  

Science Conference Proceedings (OSTI)

Obsemations of temperature moisture, cloud amount, cloud height and soil-derived aerosols are incorporated into radiative transfer models to yield estimates of the tropospheric and surface radiative energy budgets for the summer Monsoon of 1979. ...

Steven A. Ackerman; Stephen K. Cox

1987-10-01T23:59:59.000Z

65

Estimating disaggregated price elasticities in industrial energy demand  

Science Conference Proceedings (OSTI)

Econometric energy models are used to evaluate past policy experiences, assess the impact of future policies and forecast energy demand. This paper estimates an industrial energy demand model for the province of Ontario using a linear-logit specification for fuel type equations which are embedded in an aggregate energy demand equation. Short-term, long-term, own- and cross-price elasticities are estimated for electricity, natural gas, oil and coal. Own- and cross-price elasticities are disaggregated to show that overall price elasticities and the energy-constant price elasticities when aggregate energy use is held unchanged. These disaggregations suggest that a substantial part of energy conservation comes from the higher aggregate price of energy and not from interfuel substitution. 13 refs., 2 tabs.

Elkhafif, M.A.T. (Ontario Ministry of Energy, Toronto (Canada))

1992-01-01T23:59:59.000Z

66

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

NLE Websites -- All DOE Office Websites (Extended Search)

Marginal Residential Energy Prices in the Analysis of Proposed Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Publication Type Report LBNL Report Number LBNL-44230 Year of Publication 2000 Authors Chaitkin, Stuart, James E. McMahon, Camilla Dunham Whitehead, Robert D. Van Buskirk, and James D. Lutz Document Number LBNL-44230 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Use of marginal energy prices, instead of average energy prices, represents a theoretically valuable and challenging refinement to the usual life-cycle cost analysis conducted for proposed appliance energy efficiency standards. LBNL developed a method to estimate marginal residential energy prices using a regression analysis based on a nationally representative sample of actual consumer energy bills. Based on the 1997 Residential Energy Consumption Survey (RECS), national mean marginal electricity prices were estimated to be 2.5% less than average electricity prices in the summer and 10.0% less than average prices in the non-summer months. For natural gas, marginal prices were 4.4% less than average prices in the winter and 15.3% less than average prices in the non-winter months.

67

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

NLE Websites -- All DOE Office Websites (Extended Search)

Econometric Estimation of the Aggregate Impacts of Energy Efficiency Econometric Estimation of the Aggregate Impacts of Energy Efficiency Programs: Report on a California Pilot Study Speaker(s): Marvin J. Horowitz Date: February 26, 2013 - 2:00pm Location: 90-3075 Seminar Host/Point of Contact: Alan Sanstad The California Public Utilities Commission (CPUC) recently funded a study in which local area aggregated electricity and natural gas consumption in California from 2006 through 2010 were analyzed econometrically. Data were available to estimate electricity energy efficiency program impacts for two of the three large California investor-owned utilities. The findings indicate that net savings from these programs for the 2006-2010 period amounted to 11,391 GWh, or 7.3 percent of annual electricity consumption. This point estimate is 50 percent higher than the CPUC

68

On spatial estimation of wind energy potential in Malaysia  

Science Conference Proceedings (OSTI)

Statistical distribution for describing the wind speed at a particular location provides information about the wind energy potential which is available. In this paper, five different statistical distributions are fitted to the data of average hourly ... Keywords: inverse distance weighting method, kriging, semivariogram, spatial estimation, wind energy, wind speed distribution

Nurulkamal Masseran; Ahmad Mahir Razali; Kamarulzaman Ibrahim; Wan Zawiah Wan Zin; Azami Zaharim

2011-07-01T23:59:59.000Z

69

Energy estimation of peripheral devices in embedded systems  

E-Print Network (OSTI)

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 cycleaccurate energy simulator and profiler capable of simulating peripheral devices. Our energy estimation tool for peripherals can be useful for hardware and software energy optimization of multimedia applications and device drivers. The simulator and profiler use cycleaccurate energy and performance models for peripheral devices with the cycle-accurate energy and performance models for computing, storage and power devices created in previous work. We also implemented I/O communication protocols such as polling, I/O interrupts and direct memory access (DMA). Using our energy simulator and estimator, we optimized an audio driver for an MP3 (MPEG-2 Layer 3) audio decoder application. Our optimization results show 44 % reduction in the total system energy consumption for the MP3 audio decoder when optimized audio driver is used.

Ozgur Celebican

2004-01-01T23:59:59.000Z

70

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

E-Print Network (OSTI)

hybrid incremental cost estimates were developed based onsizing . Final incremental cost estimates ranged from $1,786Energy Savings Estimates and Cost Benefit Calculations for

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

2003-01-01T23:59:59.000Z

71

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type October 7, 2013 - 10:51am Addthis YOU ARE HERE Step 2 Starting with the programs contributing the greatest proportion of building greenhouse gas (GHG) emissions, the agency should next determine which building types operated by those programs use the most energy (Figure 1). Energy intensity is evaluated instead of emissions in this approach because programs may not have access to emissions data by building type. Figure 1 - An image of an organizational-type chart. A rectangle labeled 'Program 1' has lines pointing to three other rectangles below it labeled 'Building Type 1,' 'Building Type 2,' and 'Building Type 3.' Next to the building types it says, 'Step 2. Estimate emissions by building type.

72

Table PT1. Energy Production Estimates in Physical Units, Ohio ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Ohio, 1960 - 2011 1960 33,957 36,074 5,405 NA 1961 32,226 36,423 5,639 NA 1962 34,125 36,747 5,835 NA

73

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma, 1960 - 2011 1960 33.9 902.0 1,118.9 0.0 NA 17.8 17.8 2,072.6 1961 26.1 976.9 1,119.9 0.0 NA 20.2 20 ...

74

Table PT2. Energy Production Estimates in Trillion Btu, California ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, California, 1960 - 2011 1960 0.0 589.7 1,771.0 (s) NA 270.2 270.2 2,630.9 1961 0.0 633.8 1,737.7 0.1 NA 248.2 ...

75

Table PT2. Energy Production Estimates in Trillion Btu, Delaware ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Delaware, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 5.0 5.0 5.0 1961 0.0 0.0 0.0 0.0 NA 5.1 5.1 5.1

76

Table PT2. Energy Production Estimates in Trillion Btu, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Texas, 1960 - 2011 1960 26.4 6,610.7 5,379.4 0.0 NA 50.2 50.2 12,066.6 1961 26.5 6,690.2 5,447.3 0.0 NA 52.0 ...

77

Table PT2. Energy Production Estimates in Trillion Btu, Indiana ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Indiana, 1960 - 2011 1960 346.3 0.3 69.9 0.0 NA 24.6 24.6 441.1 1961 336.7 0.4 66.7 0.0 NA 24.2 24.2 428.0

78

Table PT2. Energy Production Estimates in Trillion Btu, Oregon ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oregon, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 190.5 190.5 190.5 1961 0.0 0.0 0.0 0.0 NA 188.9 188.9 188.9

79

Table PT2. Energy Production Estimates in Trillion Btu, Arizona ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Arizona, 1960 - 2011 1960 0.1 0.0 0.4 0.0 NA 36.2 36.2 36.7 1961 0.0 0.0 0.4 0.0 NA 35.1 35.1 35.5

80

Table PT1. Energy Production Estimates in Physical Units, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Texas, 1960 - 2011 1960 2,098 5,892,704 927,479 NA 1961 2,108 5,963,605 939,191 NA 1962 2,054 6,080,210 ...

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

The estimate of the wind energy potential and insolation  

E-Print Network (OSTI)

The concise letter points out that the estimates of the global potential of wind power exceeds the amount of kinetic energy in the relevant layer of atmosphere by far more than an order of magnitude. Originally submitted to the Letters section of the Proceedings of the National Academy of Sciences in August 2009.

Aoki, Kenichiro

2009-01-01T23:59:59.000Z

82

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

Estimating Demand Response Market Potential Estimating Demand Response Market Potential Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Demand Response Market Potential Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.ieadsm.org/Files/Tasks/Task%20XIII%20-%20Demand%20Response%20Resou Equivalent URI: cleanenergysolutions.org/content/estimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Resource Integration Planning This resource presents demand response (DR) potential results from top-performing programs in the United States and Canada, as well as a DR

83

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark JaccardYenvironment policy models To meet the challenge of an energyYenvironment issue such as greenhouse gas (GHG) emission with respect to energy use, and to specific policies aimed at advancing certain technologies over others. While

84

Table 2.1a Energy Consumption Estimates by Sector, Selected Years ...  

U.S. Energy Information Administration (EIA)

40 U.S. Energy Information Administration / Annual Energy Review 2011 Table 2.1a Energy Consumption Estimates by Sector, Selected Years, 1949-2011

85

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

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.

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

2011-12-12T23:59:59.000Z

86

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

Science Conference Proceedings (OSTI)

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.

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

2012-10-01T23:59:59.000Z

87

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

Science Conference Proceedings (OSTI)

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

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

2012-06-10T23:59:59.000Z

88

GAO Cost Estimating and Assessment Guide | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

GAO 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...

89

Average estimate for additive energy in prime field  

E-Print Network (OSTI)

Assume that $A\\subseteq \\Fp, B\\subseteq \\Fp^{*}$, $\\1/4\\leqslant\\frac{|B|}{|A|},$ $|A|=p^{\\alpha}, |B|=p^{\\beta}$. We will prove that for $p\\geqslant p_0(\\beta)$ one has $$\\sum_{b\\in B}E_{+}(A, bA)\\leqslant 15 p^{-\\frac{\\min\\{\\beta, 1-\\alpha\\}}{308}}|A|^3|B|.$$ Here $E_{+}(A, bA)$ is an additive energy between subset $A$ and it's multiplicative shift $bA$. This improves previously known estimates of this type.

Glibichuk, Alexey

2011-01-01T23:59:59.000Z

90

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |  

Open Energy Info (EERE)

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar (Redirected from How to Estimate the Economic Impacts from Renewable Energy) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from Renewable Energy Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Co-benefits assessment Resource Type: Webinar, Training materials Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2009 How to Estimate the Economic Impacts from Renewable Energy Screenshot References: How to Estimate the Economic Impacts from Renewable Energy[1] Logo: How to Estimate the Economic Impacts from Renewable Energy Sponsored by the U.S. Department of Energy Technical Assistance Project for

91

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

NLE Websites -- All DOE Office Websites (Extended Search)

Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater May 30, 2012 - 3:09pm Addthis Solar water...

92

Estimates of Renewable Energy Capacity Serving U.S. Green Power...  

NLE Websites -- All DOE Office Websites (Extended Search)

Estimates of Renewable Energy Capacity Serving U.S. Green Power Markets (as of December 2004) Lori Bird and Blair Swezey National Renewable Energy Laboratory September 2005 This...

93

Estimating Energy Efficiency Impacts Using Climate Wise "Wise Rules"  

E-Print Network (OSTI)

Climate Wise is an industrial energy efficiency program sponsored by the U.S. EPA, and supported by the U.S. DOE, working in partnership with more than 400 industrial companies, representing approximately than 11 percent of U.S. industrial energy use. Climate Wise provides technical assistance in the form of efficiency check-lists, handbooks, and one-on-one support through a toll-free Wise Line to help partners identify efficiency measures and quantify project impacts. Climate Wise has developed the Wise Rules for Industrial Efficiency (Wise Rules Tool Kit) to provide partners with ''Wise Rules" for estimating potential energy, cost, and greenhouse gas emissions savings from key industrial energy efficiency measures. The Tool Kit includes information on the following end-uses: boilers, steam systems, furnaces, process heating, waste heat recovery, cogeneration, compressed air systems, and process cooling. This paper provides an overview of the Wise Rules Tool Kit and presents excerpts from the document and sample Wise Rules.

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

1998-04-01T23:59:59.000Z

94

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |  

Open Energy Info (EERE)

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from Renewable Energy Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Co-benefits assessment Resource Type: Webinar, Training materials Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2009 How to Estimate the Economic Impacts from Renewable Energy Screenshot References: How to Estimate the Economic Impacts from Renewable Energy[1] Logo: How to Estimate the Economic Impacts from Renewable Energy Sponsored by the U.S. Department of Energy Technical Assistance Project for state and local officials, this Webinar featured information for

95

Estimated Rare Earth Reserves and Deposits | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department of Energy Facilities Department of Energy Facilities Recovery Act Smart Grid Projects Recovery Act Smart Grid Projects 2009 Energy Expenditure Per Person 2009 Energy...

96

A conceptual framework to energy estimation in buildings using agent based modeling  

Science Conference Proceedings (OSTI)

Actual energy consumption in buildings is typically different from predictions during the design phase. While differences in occupant energy usage characteristics play an important role in this variation, actual energy estimation software do not account ...

Elie Azar; Carol Menassa

2010-12-01T23:59:59.000Z

97

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network (OSTI)

1), S57S73. CEC (California Energy Commission). 2009. GISGuido Franco. CEC (California Energy Commission). 2009. GISJacque Gilbreath. CEC (California Energy Commission). 2009.

Sathaye, Jayant

2011-01-01T23:59:59.000Z

98

Estimating energy-augmenting technological change in developing country industries  

E-Print Network (OSTI)

trend due to the constant energy price bias assumption. ThisIndian industries, Energy price bias (standard error)industries, 19801997 Energy price bias (standard error)

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

2006-01-01T23:59:59.000Z

99

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

100

Regional Earth-Atmosphere Energy Balance Estimates Based on Assimilations with a GCM  

Science Conference Proceedings (OSTI)

The column budget technique described by Oort and Vonder Haar (1976) is used to assess the physical consistency and accuracy of estimates of the earth-atmosphere energy balance. Regional estimates of the atmospheric budget terms, the net ...

Michael A. Alexander; Siegfried D. Schubert

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

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

E-Print Network (OSTI)

This paper proposes a method of estimating the adjusted energy baseline using simulation models, which can calculate the energy baseline with various conditions, such as conditions of weather, occupancy and equipment operations. Especially, this paper reveals what detailed data the calibration of the model needs and the change of accuracy caused by different calibration data. Using the operational data of a middle-scale office building in Osaka Japan, the simulation accuracies of three models, which are calibrated using monthly energy consumptions of whole building (Level 1), monthly energy consumptions of subsystems (Level 2) and the detailed operational data of equipments (Level 3) respectively, are compared. The result shows that the differences of daily-integrated energy consumptions between measured value and simulated value using the model of Level 1 and 2 are not much different. The model of Level 3 is about 3% more accurate than the model of Level 1 and 2.

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

2006-01-01T23:59:59.000Z

102

EIA Report Estimates Growth of U.S. Energy Economy Through 2040 |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

EIA Report Estimates Growth of U.S. Energy Economy Through 2040 EIA Report Estimates Growth of U.S. Energy Economy Through 2040 EIA Report Estimates Growth of U.S. Energy Economy Through 2040 December 5, 2012 - 3:43pm Addthis EIA Report Estimates Growth of U.S. Energy Economy Through 2040 Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What are the key facts? Crude oil, natural gas and renewable energy production are expected to grow rapidly. Net energy imports are expected to decline, as production grows faster than consumption. Editor's Note: This article was originally posted as part of the Energy Information Administration's (EIA) Today in Energy series. EIA has just issued its Annual Energy Outlook 2013 (AEO2013) Reference case, which highlights a growth in total U.S. energy production that

103

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

E-Print Network (OSTI)

methodology to estimate the energy ­ ecologic efficiency of thermopower plants (TPP) Presently, the analysis impact point of view and also of the efficiency of the electrical and/or thermal energy producedPART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY

Baica, Malvina

104

Theory of binless multi-state free energy estimation with applications to protein-ligand binding  

E-Print Network (OSTI)

Theory of binless multi-state free energy estimation with applications to protein-ligand binding Method (WHAM) is routinely used for com- puting free energies and expectations from multiple ensembles method, like WHAM, can be used not only to estimate free energies and equilibrium expectations, but also

105

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

E-Print Network (OSTI)

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

Xing, Eric P.

106

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

E-Print Network (OSTI)

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

Langmead, Christopher James

107

A POSTERIORI ESTIMATES FOR THE CAHN--HILLIARD EQUATION WITH OBSTACLE FREE ENERGY  

E-Print Network (OSTI)

A POSTERIORI ESTIMATES FOR THE CAHN--HILLIARD EQUATION WITH OBSTACLE FREE ENERGY L'UBOMÍR BA#AS 1 of the standard Cahn--Hilliard equation with a double obstacle free energy. The derived estimates are robust and e algorithm. Keywords: Cahn--Hilliard equation, obstacle free energy, linear finite elements, a posteriori

Banas, Lubomir

108

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

E-Print Network (OSTI)

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

109

Uncertainties of estimates of inertio-gravity energy in the atmosphere  

E-Print Network (OSTI)

Uncertainties of estimates of inertio-gravity energy in the atmosphere N. Zagar, J. Tribbia, J percentage of energy contained in balanced (Rossby) and inertio- gravity (IG) motions. Estimate energy)analysis Unclear how large part of the global atmospheric energetics pertains to the divergent motion i.e. inertio-gravity

Zagar, Nedjeljka

110

Estimation of wind characteristics at potential wind energy conversion sites  

DOE Green Energy (OSTI)

A practical method has been developed and applied to the problem of determining wind characteristics at candidate wind energy conversion sites where there are no available historical data. The method uses a mass consistent wind flow model (called COMPLEX) to interpolate between stations where wind data are available. The COMPLEX model incorporates the effects of terrain features and airflow. The key to the practical application of COMPLEX to the derivation of wind statistics is the model's linearity. This allows the input data sets to be resolved into orthogonal components along the set of eigenvectors of the covariance matrix. The solution for each eigenvector is determined with COMPLEX; the hourly interpolated winds are then formed from linear combinations of these solutions. The procedure requires: acquisition and merger of wind data from three to five stations, application of COMPLEX to each of the seven to 11 (depending on the number of stations for which wind data are available) eigenvectors, reconstruction of the hourly interpolated winds at the site from the eigenvector solutions, and finally, estimating the wind characteristics from the simulated hourly values. The report describes the methodology and the underlying theory. Possible improvements to the procedure are also discussed.

Not Available

1979-10-01T23:59:59.000Z

111

Estimation of wind characteristics at potential wind energy conversion sites  

SciTech Connect

A practical method has been developed and applied to the problem of determining wind characteristics at candidate wind energy conversion sites where there are no available historical data. The method uses a mass consistent wind flow model (called COMPLEX) to interpolate between stations where wind data are available. The COMPLEX model incorporates the effects of terrain features and airflow. The key to the practical application of COMPLEX to the derivation of wind statistics is the model's linearity. This allows the input data sets to be resolved into orthogonal components along the set of eigenvectors of the covariance matrix. The solution for each eigenvector is determined with COMPLEX; the hourly interpolated winds are then formed from linear combinations of these solutions. The procedure requires: acquisition and merger of wind data from three to five stations, application of COMPLEX to each of the seven to 11 (depending on the number of stations for which wind data are available) eigenvectors, reconstruction of the hourly interpolated winds at the site from the eigenvector solutions, and finally, estimating the wind characteristics from the simulated hourly values. The report describes the methodology and the underlying theory. Possible improvements to the procedure are also discussed.

1979-10-01T23:59:59.000Z

112

Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Savings Estimates of Light Emitting Diodes Savings Estimates of Light Emitting Diodes in Niche Lighting Applications Prepared for: Building Technologies Program Office of Energy Efficiency and Renewable Energy U.S. Department of Energy Prepared by: Navigant Consulting Inc. 1801 K Street, NW Suite 500 Washington DC, 20006 September 2008 * Department of Energy Washington, DC 20585 Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications Released: September 2008 Revised: October 2008 This DOE report presents research findings for twelve different niche markets where LEDs are competing or poised to compete with traditional light sources (e.g., incandescent and fluorescent). Estimates of the energy saved due to current levels of LED market penetration as well as estimates of potential energy savings if these markets switched completely to LEDs

113

Methodology and Estimation of the Welfare Impact of Energy Reforms on Households in Azerbaijan.  

E-Print Network (OSTI)

??ABSTRACT Title of Dissertation: METHODOLOGY AND ESTIMATION OF THE WELFARE IMPACT OF ENERGY REFORMS ON HOUSEHOLDS IN AZERBAIJAN Irina Klytchnikova, Doctor of Philosophy, 2006 Dissertation (more)

Klytchnikova, Irina

2006-01-01T23:59:59.000Z

114

Table 1.3 Primary Energy Consumption Estimates by Source, 1949 ...  

U.S. Energy Information Administration (EIA)

Table 1.3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year: Fossil Fuels: Nuclear Electric Power

115

A Bottom-Up Model to Estimate the Energy Efficiency Improvement...  

NLE Websites -- All DOE Office Websites (Extended Search)

Efficiency Improvement and CO2 Emission Reduction Potentials in the Chinese Iron and Steel Industry Title A Bottom-Up Model to Estimate the Energy Efficiency Improvement and...

116

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Pathways to Sustained Energy Pathways to Sustained Energy Development in Oklahoma Oklahoma Tribal Leader Forum - August 2012 Oklahoma City, Oklahoma 1 Office of Indian Energy Goals and Objectives * Promote Indian tribal energy development, efficiency and use * Reduce or stabilize energy costs * Enhance and strengthen Indian tribal energy and economic infrastructure relating to natural resource development and electrification * Bring electrical power and service to Indian land and the homes of tribal members Energy Policy Act of 2005, Title V, Sec. 502 2 Office of Indian Energy Programs 3 * START (Strategic Technical Assistance Response Teams) - Providing Expert Development Technical Assistance Directly to Tribal Staff/Leaders/Projects - Targeted energy development assistance - post feasibility & pre

117

Estimating energy-augmenting technological change in developing country industries  

E-Print Network (OSTI)

over time is calculated. Second, prices and the energy costTime averages of sectoral productivity and autonomous energy efficiency trend Industry Prices and energy costTime averages (in percent) of sectoral productivity and autonomous energy efficiency trend Prices and energy cost

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

2006-01-01T23:59:59.000Z

118

Estimating wind energy using extrapolated data of Cameron highlands  

Science Conference Proceedings (OSTI)

Wind energy is an alternative clean energy source compared to fossil fuel, which can be harmful and pollutes the layer of the atmosphere. Recently, wind energy is given a lot of attention because of the focus on renewable energy all over the world. Apart ... Keywords: data extrapolation technique, wind energy, wind speed

Siti Khadijah Najid; Ahmad Mahir Razali; Kamaruzaman Ibrahim; Kamaruzzaman Sopian; Azami Zaharim

2011-07-01T23:59:59.000Z

119

An Observational Estimate of Inferred Ocean Energy Divergence  

Science Conference Proceedings (OSTI)

Monthly net surface energy fluxes (FS) over the oceans are computed as residuals of the atmospheric energy budget using top-of-atmosphere (TOA) net radiation (RT) and the complete atmospheric energy (AE) budget tendency (?AE/?t) and divergence ( ...

Kevin E. Trenberth; John T. Fasullo

2008-05-01T23:59:59.000Z

120

Table PT1. Energy Production Estimates in Physical Units, United ...  

U.S. Energy Information Administration (EIA)

a Beginning in 2001, includes refuse recovery. d Includes denaturant. Estimated using production b Marketed production. ... Coal a Natural Gas b Crude Oil c Fuel ...

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Estimated Rare Earth Reserves and Deposits | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Non-powered Dams U.S. Hydropower Potential from Existing Non-powered Dams Creating an Energy Innovation Ecosystem Creating an Energy Innovation Ecosystem Sunshot Rooftop Solar...

122

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 inter-tribal org) * Renewable Energy Commercialization - Technical Assistance Program - Solar Communities - Wind Powering America Energy Policy and Planning: Begin at the...

123

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary...  

NLE Websites -- All DOE Office Websites (Extended Search)

Date Published 032007 ISBN Number LBNL-56380(2007) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify...

124

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary...  

NLE Websites -- All DOE Office Websites (Extended Search)

Published March 2006 ISBN Number LBNL-56380(2006) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify...

125

Accuracy of Estimates of Atmospheric Large-Scale Energy Flux Divergence  

Science Conference Proceedings (OSTI)

A short review of atmospheric energy transport studies is given, and the importance of the Global Weather Experiment for such studies is emphasized. The accuracy of energy flux (divergence) estimates is then discussed, comparing results obtained ...

Eero Holopainen; Carl Fortelius

1986-10-01T23:59:59.000Z

126

Estimating the Energy Use and Efficiency Potential of U.S. Data...  

NLE Websites -- All DOE Office Websites (Extended Search)

the Energy Use and Efficiency Potential of U.S. Data Centers Title Estimating the Energy Use and Efficiency Potential of U.S. Data Centers Publication Type Conference Paper LBNL...

127

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate < Back Eligibility Utility Savings Category Solar Buying & Making Electricity Program Info State Colorado Program Type Line Extension Analysis Provider Colorado Public Utilities Commission At the request of a customer or a potential customer, Colorado electric utilities are required to conduct a cost comparison of a photovoltaic (PV) system to any proposed distribution line extension if the customer or potential customer provides the utility with load data (estimated monthly kilowatt-hour usage) requested by the utility to conduct the comparison, and if the customer's or potential customer's peak demand is estimated to be less than 25 kilowatts (kW). In performing the comparison analysis, the

128

State Energy Data System Consumption Estimates Technical Notes  

U.S. Energy Information Administration (EIA)

as street lighting and public services; and the Manufacturing Energy Consumption Survey covers only manufacturing establishments,

129

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

of tons oil equivalent (Mtoe) 700 i Sources : Estimates byas nuclear, oil will be the most important energy sourcenuclear energy, oil will be the most important energy source

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

130

State energy data report: Consumption estimates, 1960--1990. [Contains glossary  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, 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.

Not Available

1992-05-15T23:59:59.000Z

131

Property:EstimatedTimeExplained | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeExplained EstimatedTimeExplained Jump to: navigation, search Property Name EstimatedTimeExplained Property Type Text Description An explanation of the accompanying time estimate, including any influential factors or variables. Subproperties This property has the following 40 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.10 - Did majority of RWQCB approve the permit GRR/Elements/14-CA-b.11 - EPA Review of Adopted Permit GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.2 - Review of application for completeness GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board GRR/Elements/14-CA-b.4 - EPA review for completeness

132

Estimating material and energy intensities of urban areas  

E-Print Network (OSTI)

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 ...

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

2012-01-01T23:59:59.000Z

133

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary...  

NLE Websites -- All DOE Office Websites (Extended Search)

Date Published 032006 ISBN Number LBNL-56380(2005) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and...

134

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary...  

NLE Websites -- All DOE Office Websites (Extended Search)

Date Published 112007 ISBN Number LBNL-56380(2008) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and...

135

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

136

Property:EstimatedCostMedianUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostMedianUSD EstimatedCostMedianUSD Jump to: navigation, search Property Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostMedianUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 30030,000 centUSD 0.3 kUSD 3.0e-4 MUSD 3.0e-7 TUSD + A Acoustic Logs + 4.62462 centUSD 0.00462 kUSD 4.62e-6 MUSD 4.62e-9 TUSD + Aerial Photography + 240.5424,054 centUSD

137

Property:EstimatedTimeMedian | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeMedian EstimatedTimeMedian Jump to: navigation, search Property Name EstimatedTimeMedian Property Type Quantity Description the median estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 2.281542e-4 years2 hours 0.0833 days 0.0119 weeks 0.00274 months + A Acoustic Logs + 0.044 years385.92 hours 16.08 days 2.297 weeks 0.528 months +

138

Property:EstimatedTimeHigh | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeHigh EstimatedTimeHigh Jump to: navigation, search Property Name EstimatedTimeHigh Property Type Quantity Description the high estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeHigh" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 3.422313e-4 years3 hours 0.125 days 0.0179 weeks 0.00411 months + A Acoustic Logs + 0.0881 years772.08 hours 32.17 days 4.596 weeks 1.057 months + Aerial Photography + 0.00548 years48 hours

139

Property:EstimatedCostHighUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostHighUSD EstimatedCostHighUSD Jump to: navigation, search Property Name EstimatedCostHighUSD Property Type Quantity Description the high estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostHighUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 50050,000 centUSD 0.5 kUSD 5.0e-4 MUSD 5.0e-7 TUSD + A Acoustic Logs + 161,600 centUSD 0.016 kUSD 1.6e-5 MUSD 1.6e-8 TUSD + Aerial Photography + 2,360236,000 centUSD

140

Property:EstimatedCostLowUSD | Open Energy Information  

Open Energy Info (EERE)

EstimatedCostLowUSD EstimatedCostLowUSD Jump to: navigation, search Property Name EstimatedCostLowUSD Property Type Quantity Description the low estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one US Dollar. http://en.wikipedia.org/wiki/Area Acceptable units (and their conversions) are: 100 cent USD,cents USD,Cent USD,Cents USD .001 k USD,thousand USD,Thousand USD .000001 M USD,million USD,Million USD .000000001 T USD,trillion USD,Trillion USD Pages using the property "EstimatedCostLowUSD" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 20020,000 centUSD 0.2 kUSD 2.0e-4 MUSD 2.0e-7 TUSD + A Acoustic Logs + 1100 centUSD 1.0e-3 kUSD 1.0e-6 MUSD 1.0e-9 TUSD + Aerial Photography + 100.3610,036 centUSD

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Property:EstimatedTimeLow | Open Energy Information  

Open Energy Info (EERE)

EstimatedTimeLow EstimatedTimeLow Jump to: navigation, search Property Name EstimatedTimeLow Property Type Quantity Description the low estimate of time required Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeLow" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe Survey + 1.711157e-4 years1.5 hours 0.0625 days 0.00893 weeks 0.00205 months + A Acoustic Logs + 0.023 years201.36 hours 8.39 days 1.199 weeks 0.276 months + Aerial Photography + 2.737851e-4 years2.4 hours

142

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

Resource Estimation and Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NREL/CP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine June 12-16, 1999 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel

143

Today in Energy - Geology and technology drive estimates of ...  

U.S. Energy Information Administration (EIA)

Energy Information ... "Sweet spot" is an industry term for those select and limited areas within a shale ... Because of the continual improvement in technology, ...

144

Table PT2. Energy Production Estimates in Trillion Btu ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

145

Table PT2. Energy Production Estimates in Trillion Btu, Minnesota ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

146

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network (OSTI)

Future Residential Electricity Demand." Energy Institute atClimate change and electricity demand in California. Climate change and electricity demand in California.

Sathaye, Jayant

2011-01-01T23:59:59.000Z

147

Distributed Generation Renewable Energy Estimate of Costs and...  

NLE Websites -- All DOE Office Websites (Extended Search)

Agarwal, P. and L. Manuel, The influence of the joint wind-wave environment on offshore wind turbine support structure loads. Journal of Solar Energy Engineering, Transactions of...

148

EVALUATION AND CALIBRATION OF SOFTWARE-BASED ENERGY ESTIMATION  

E-Print Network (OSTI)

the power consumption. The article does not provide any results in form of error rates, instead it states widely used estimation model, which incorporates the state transitions of the radio transceiver. The im. To quantify the error rates, we determined the power consumption of a wireless sensor node through hardware

Braun, Torsten

149

Pumping System Measurements To Estimate Energy Savings: Why and How  

E-Print Network (OSTI)

Measuring performance parameters (flow rate, pressures, and power) for existing systems is essential to understanding how both the pump(s) and system are actually performing. Examples of reasons why actual measurements are critical and practical means of getting and using the measured data to estimate savings potential using DOE tools are discussed.

Casada, D.

2007-01-01T23:59:59.000Z

150

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

E-Print Network (OSTI)

occupancy by creating agent models of the occupants. These predictions enable the HVAC system increase is accounted for in heating, ventilation, and air conditioning (HVAC) systems. Smart sensing and adaptive energy management software can greatly decrease the energy usage of HVAC systems in many building

Chang, Yu-Han

151

Developing an environment for embedded software energy estimation  

Science Conference Proceedings (OSTI)

The paper presents the results of a novel method for the instruction-level energy consumption measurement and the corresponding modeling approach for embedded microprocessors. According to the proposed method the base and inter-instruction energy costs ... Keywords: Embedded microprocessors, Low power systems, Power consumption, Software modeling tools

S. Nikolaidis; A. Chatzigeorgiou; T. Laopoulos

2005-12-01T23:59:59.000Z

152

Bread Basket: a gaming model for estimating home-energy costs  

SciTech Connect

An instructional manual for answering the twenty variables on COLORADO ENERGY's computerized program estimating home energy costs. The program will generate home-energy cost estimates based on individual household data, such as total square footage, number of windows and doors, number and variety of appliances, heating system design, etc., and will print out detailed costs, showing the percentages of the total household budget that energy costs will amount to over a twenty-year span. Using the program, homeowners and policymakers alike can predict the effects of rising energy prices on total spending by Colorado households.

1982-01-01T23:59:59.000Z

153

Estimating the Cost and Energy Efficiency of a Solar Water Heater |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater May 30, 2012 - 3:09pm Addthis Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR What does this mean for me? Solar water heaters cost more to purchase and install but may save you money in the long run. Estimate the annual operating costs and compare several solar water heaters to determine whether it is worth investing in a more efficient system. Solar water heating systems usually cost more to purchase and install than conventional water heating systems. However, a solar water heater can

154

Estimating the Cost and Energy Efficiency of a Solar Water Heater |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater May 30, 2012 - 3:09pm Addthis Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR Solar water heaters are more efficient the gas or electric heaters. | Chart credit ENERGY STAR What does this mean for me? Solar water heaters cost more to purchase and install but may save you money in the long run. Estimate the annual operating costs and compare several solar water heaters to determine whether it is worth investing in a more efficient system. Solar water heating systems usually cost more to purchase and install than conventional water heating systems. However, a solar water heater can

155

EIA - The National Energy Modeling System: An Overview 2003-Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The National Energy Modeling System: An Overview 2003 Industrial Demand Module Figure 7. Industrial Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Economic Subsectors Within the IDM Table. Need help, contact the National Energy Information Center at 202-586-8800. Industrial Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Fuel Consuming Activities for the Energy-Intensive Manufacturing Subsectors Table. Need help, contact the National Energy Information Center at 202-586-8800. The industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing

156

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

E-Print Network (OSTI)

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

Sun, Sean

157

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

158

Context-aware parameter estimation for forecast models in the energy domain  

Science Conference Proceedings (OSTI)

Continuous balancing of energy demand and supply is a fundamental prerequisite for the stability and efficiency of energy grids. This balancing task requires accurate forecasts of future electricity consumption and production at any point in time. For ... Keywords: energy, forecasting, maintenance, parameter estimation

Lars Dannecker; Robert Schulze; Matthias Bhm; Wolfgang Lehner; Gregor Hackenbroich

2011-07-01T23:59:59.000Z

159

Binding Energy Distribution Analysis Method (BEDAM) for Estimation of Protein-Ligand Binding Affinities  

E-Print Network (OSTI)

Binding Energy Distribution Analysis Method (BEDAM) for Estimation of Protein-Ligand Binding Jersey 08854 Received June 2, 2010 Abstract: The binding energy distribution analysis method (BEDAM of the probability distribution of the binding energy obtained in the canonical ensemble in which the ligand

160

Revised equipartition & minimum energy formula for magnetic field strength estimates from radio synchrotron observations  

E-Print Network (OSTI)

The commonly used classical equipartition or minimum-energy estimate of total magnetic fields strengths from radio synchrotron intensities is of limited practical use because it is based on the hardly known ratio K of the total energies of cosmic ray protons and electrons and also has inherent problems. We present a revised formula, using the number density ratio K for which we give estimates. For particle acceleration in strong shocks K is about 40 and increases with decreasing shock strength. Our revised estimate for the field strength gives larger values than the classical estimate for flat radio spectra with spectral indices of about 0.5-0.6, but smaller values for steep spectra and total fields stronger than about 10 muG. In very young supernova remnants, for example, the classical estimate may be too large by up to 10x. On the other hand, if energy losses of cosmic ray electrons are important, K increases with particle energy and the equipartition field may be underestimated significantly. Our revised larger equipartition estimates in galaxy clusters and radio lobes are consistent with independent estimates from Faraday rotation measures, while estimates from the ratio between radio synchrotron and X-ray inverse Compton intensities generally give much weaker fields. This may be explained e.g. by a concentration of the field in filaments. Our revised field strengths may also lead to major revisions of electron lifetimes in jets and radio lobes estimated from the synchrotron break frequency in the radio spectrum.

Rainer Beck; Marita Krause

2005-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Potential for Renewable Energy Potential for Renewable Energy Development on Tribal Lands October 2012 1 Introduction * The DOE Office of Indian Energy Policy and Programs (OI) requested ICF International (ICF) to identify areas within Tribal Lands that have a strong potential for renewable energy generation (solar and wind) as a source of Tribal revenue within the geographic area covered by the Western Electric Coordination Council (WECC) transmission grid * ICF used a combination of geospatial modeling and power flow modeling to identify sites where: - Conditions are optimal for solar or wind generation - Access to high-voltage transmission lines is favorable - Transmission upgrade costs would be minimal 2 Geospatial Analysis Phase I: Identify Potential Sites * Obtained GIS layers (e.g., wind/solar resources, transmission

162

Estimates of Kinetic Energy Dissipation under Breaking Waves  

Science Conference Proceedings (OSTI)

The dissipation of kinetic energy at the surface of natural water bodies has important consequences for many Physical and biochemical processes including wave dynamics, gas transfer, mixing of nutrients and pollutants, and photosynthetic ...

E.A. Terray; M.A. Donelan; Y.C. Agrawal; W.M. Drennan; K.K. Kahma; A.J. Williams; P.A. Hwang; S.A. Kitaigorodskii

1996-05-01T23:59:59.000Z

163

Procedure for estimating fracture energy from fracture surface roughness  

DOE Patents (OSTI)

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.

Williford, Ralph E. (Kennewick, WA)

1989-01-01T23:59:59.000Z

164

Estimating Meridional Energy Transports by the Atmospheric and Oceanic General Circulations Using Boundary Fluxes  

Science Conference Proceedings (OSTI)

The annual-mean meridional energy transport in the atmosphereocean system (total transport) is estimated using 4-yr mean net radiative fluxes at the top of the atmosphere (TOA) calculated from the International Satellite Cloud Climatology ...

Y-C. Zhang; W. B. Rossow

1997-09-01T23:59:59.000Z

165

Satellite-Derived Surface Energy Balance Estimates in the Alaskan Sub-Arctic  

Science Conference Proceedings (OSTI)

Heat Capacity Mapping Mission (HCMM) data for 12 May 1978 were used in an energy balance modelto estimate evapotranspiration in sub-Arctic Alaska following snowmelt. The HCMM scene contained severalareas of melting snow as well as an actively ...

R. J. Gurney; D. K. Hall

1983-01-01T23:59:59.000Z

166

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

Open Energy Info (EERE)

Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon The Smart Grid: An Estimation of the Energy and Carbon Dioxide (CO2) Benefits Jump to:...

167

B-Spline Image Model for Energy Minimization-Based Optical Flow Estimation  

Science Conference Proceedings (OSTI)

Robust estimation of the optical flow is addressed through a multiresolution energy minimization. It involves repeated evaluation of spatial and temporal gradients of image intensity which rely usually on bilinear interpolation and image filtering. We ... Keywords: Optical flow (OF), robust estimation, splines

G. Le Besnerais; F. Champagnat

2006-10-01T23:59:59.000Z

168

Comments on Estimates of Kinetic Energy Dissipation under Breaking Waves  

Science Conference Proceedings (OSTI)

It is noted that the results of recent experiments on the enhancement of turbulent kinetic energy (TKE) dissipation below surface waves can be stated as follows. TKE dissipation is enhanced by a factor 15Hws/z at depths 0.5Hws < z < 20Hws with ...

Gerrit Burgers

1997-10-01T23:59:59.000Z

169

Localized energy estimates for wave equations on high dimensional Schwarzschild space-times  

E-Print Network (OSTI)

The localized energy estimate for the wave equation is known to be a fairly robust measure of dispersion. Recent analogs on the $(1+3)$-dimensional Schwarzschild space-time have played a key role in a number of subsequent results, including a proof of Price's law. In this article, we explore similar localized energy estimates for wave equations on $(1+n)$-dimensional hyperspherical Schwarzschild space-times.

Laul, Parul

2010-01-01T23:59:59.000Z

170

Bounding estimate of DWPF mercury emissions. Revision 1  

DOE Green Energy (OSTI)

Two factors which have substantial impact on predicted Mercury emissions are the air flows in the Chemical Process Cell (CPC) and the exit temperature of the Formic Acid Vent Condenser (FAVC). The discovery in the IDMS (Integrated DWPF Melter System) of H{sub 2} generation by noble metal catalyzed formic acid decomposition and the resultant required dilution air flow has increased the expected instantaneous CPC air flow by as much as a factor of four. In addition, IDMS has experienced higher than design (10{degrees}C) FAVC exit temperatures during certain portions of the operating cycle. These temperatures were subsequently attributed to the exothermic reaction of NO to NO{sub 2}. Moreover, evaluation of the DWPF FAVC indicated it was undersized and unless modified or replaced, routine exit temperatures would be in excess of design. Purges required for H{sub 2} flammability control and verification of elevated FAVC exit temperatures due to NO{sub x} reactions have lead to significant changes in CPC operating conditions. Accordingly, mercury emissions estimates have been updated based upon the new operating requirements, IDMS experience, and development of an NO{sub x}/FAVC model which predicts FAVC exit temperatures. Using very conservative assumptions and maximum purge rates, the maximum calculated Hg emissions is approximately 130 lbs/yr. A range of 100 to 120 lbs/yr is conservatively predicted for other operating conditions. The peak emission rate calculated is 0.027 lbs/hr. The estimated DWPF Hg emissions for the construction permit are 175 lbs/yr (0.02 lbs/hr annual average).

Jacobs, R.A.

1993-10-28T23:59:59.000Z

171

Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling, Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response Scott Moura Assistant Professor Civl & Environmental Engineering University of California, Berkeley EETD | LBNL Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 1 Source: Vaclav Smil Estimates from Energy Transitions Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 2 Energy Initiatives Denmark 50% wind penetration by 2025 Brazil uses 86% renewables China's aggressive energy/carbon intensity reduction EV Everywhere SunShot Green Button Zero emissions vehicle (ZEV) 33% renewables by 2020 Go Solar California Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 3 Energy Systems of Interest Energy storage Smart Grids (e.g., batteries) (e.g., demand response) Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 4 Energy

172

Experimental Estimation Of Energy Damping During Free Rocking Of Unreinforced Masonry Walls. First Results  

Science Conference Proceedings (OSTI)

This paper presents an ongoing experimental program on unreinforced masonry walls undergoing free rocking. Aim of the laboratory campaign is the estimation of kinetic energy damping exhibited by walls released with non?zero initial conditions of motion. Such energy damping is necessary for dynamic modelling of unreinforced masonry local mechanisms. After a brief review of the literature on this topic

Luigi Sorrentino; Renato Masiani; Stefano Benedetti

2008-01-01T23:59:59.000Z

173

Study Estimates Energy Savings From Bringing All U.S. Homes Up to Code  

NLE Websites -- All DOE Office Websites (Extended Search)

Study Estimates Energy Savings From Bringing All U.S. Homes Up to Code Study Estimates Energy Savings From Bringing All U.S. Homes Up to Code October 2013 October-November Special Focus: Energy Efficiency, Buildings, the Electric Grid Throughout October and November, EETD presents a special series of articles, research highlights, and social media posts addressing some of its recent research on energy efficiency and other buildings-related topics, and the electric grid. Tightening the envelope of homes should save energy by reducing the loss of heat when the exterior is cold, and the loss of cooled air when it is hot. Until now, it has not been clear for the current housing stock how much potential for energy savings exists in the U.S. stock of homes if all were brought up to codes requiring the tightening of the building envelope.

174

Estimating the impacts of federal efforts to improve energy efficiency: The case of buildings  

Science Conference Proceedings (OSTI)

The US Department of Energy`s Office of Energy Efficiency and Renewable Energy (EE) has for more than a decade focused its efforts on research to develop new technologies for improving the efficiency of energy use and increasing the role of renewable energy; success has usually been measured in term of energy saved or displaced. Estimates of future energy savings remain an important factor in program planning and prioritization. A variety of internal and external factors are now radically changing the planning process, and in turn the composition and thrust of the EE program. The Energy Policy Act of 1992, the Framework Convention on Climate Change (and the Administration`s Climate Change Action Plan), and concerns for the future of the economy (especially employment and international competitiveness) are increasing emphasis on technology deployment and near-term results. The Reinventing Government Initiative, the Government Performance and Results Act, and the Executive Order on Environmental Justice are all forcing Federal programs to demonstrate that they are producing desired results in a cost-effective manner. The application of Total Quality management principles has increased the scope and importance of producing quantified measures of benefit. EE has established a process for estimating the benefits of DOE`s energy efficiency and renewable energy programs called ``Quality Metrics`` (QM). The ``metrics`` are: energy, employment, equity, environment, risk, economics. This paper describes the approach taken by EE`s Office of Building Technologies to prepare estimates of program benefits in terms of these metrics, presents the estimates, discusses their implications, and explores possible improvements to the QM process as it is currently configured.

LaMontagne, J; Jones, R; Nicholls, A; Shankle, S [Brookhaven National Lab., Upton, NY (United States). Energy Efficiency and Conservation Div.

1994-09-01T23:59:59.000Z

175

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

SciTech Connect

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.

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

2011-06-22T23:59:59.000Z

176

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

NLE Websites -- All DOE Office Websites (Extended Search)

ESTIMATE OF GEOTHERMAL ENERGY RESOURCE IN ESTIMATE OF GEOTHERMAL ENERGY RESOURCE IN MAJOR U.S. SEDIMENTARY BASINS Colleen Porro and Chad Augustine April 24, 2012 National Renewable Energy Lab, Golden, CO NREL/PR-6A20-55017 NATIONAL RENEWABLE ENERGY LABORATORY Sedimentary Basin Geothermal WHAT IS SEDIMENTARY BASIN GEOTHERMAL? 2 Geothermal Energy from Sedimentary Rock - Using 'hot" geothermal fluids (>100 o C) produced from sedimentary basins to generate electricity - Advantages: * Reservoirs are porous, permeable, and well characterized * Known/proven temperature gradients from oil and gas well records * Drilling and reservoir fracturing techniques proven in sedimentary environment - Disadvantages: * Great depths required to encounter high temperatures * Emerging industry Photo by Warren Gretz, NREL/PIX 00450

177

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

SciTech Connect

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

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

2004-11-09T23:59:59.000Z

178

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

SciTech Connect

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

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

2007-03-23T23:59:59.000Z

179

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

SciTech Connect

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

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

2006-03-07T23:59:59.000Z

180

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

SciTech Connect

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

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

2003-03-03T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

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

SciTech Connect

ENERGY STAR(Registered Trademark) is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR program activities, focused primarily on labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2000, what we expect in 2001, and provide savings forecasts for two market penetration scenarios for the period 2001 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

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

2002-02-15T23:59:59.000Z

182

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

SciTech Connect

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

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

2004-03-09T23:59:59.000Z

183

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

SciTech Connect

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

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

2006-03-07T23:59:59.000Z

184

Analysis of the Department of Energy's Clinch River Breeder Reactor cost estimate  

SciTech Connect

Much of the current congressional debate about the Clinch River Breeder Reactor (CRBR) centers around the estimated cost of designing, constructing, and operating it for a 5-year demonstration period. The Department of Energy (DOE) recently linked the revenue-generating potential of the CRBR beyond the demonstration period to the justification for continued funding. GAO presents information that points out many uncertainties in DOE's estimates of revenue and cost. GAO believes that because these estimates are based on numerous assumptions and calculations concerning events as far as 37 years in the future, they should be viewed with caution. Changes in the underlying assumptions could produce wide variance in the cost estimates. Further, GAO points out that CRBR is a research and development project and that judging its merits solely on cost and revenue estimates projected far into the future may not be appropriate.

Bowsher, C.A.

1982-12-10T23:59:59.000Z

185

Absolute free energies estimated by combining pre-calculated molecular fragment libraries  

E-Print Network (OSTI)

The absolute free energy -- or partition function, equivalently -- of a molecule can be estimated computationally using a suitable reference system. Here, we demonstrate a practical method for staging such calculations by growing a molecule based on a series of fragments. Significant computer time is saved by pre-calculating fragment configurations and interactions for re-use in a variety of molecules. We employ such fragment libraries and interaction tables for amino acids and capping groups to estimate free energies for small peptides. Equilibrium ensembles for the molecules are generated at no additional computational cost, and are used to check our results by comparison to standard dynamics simulation.

Zhang, Xin; Zuckerman, Daniel M

2009-01-01T23:59:59.000Z

186

The Smart Grid: An Estimation of the Energy and Carbon Dioxide (CO2)  

Open Energy Info (EERE)

The Smart Grid: An Estimation of the Energy and Carbon Dioxide (CO2) 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 and Carbon Dioxide (CO2) Benefits Focus Area: Crosscutting Topics: Market Analysis Website: energyenvironment.pnl.gov/news/pdf/PNNL-19112_Revision_1_Final.pdf Equivalent URI: cleanenergysolutions.org/content/smart-grid-estimation-energy-and-carb Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Public-Private Partnerships Regulations: "Resource Integration Planning,Mandates/Targets,Enabling Legislation,Appliance & Equipment Standards and Required Labeling" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

187

End-use energy consumption estimates for US commercial buildings, 1989  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

1993-11-01T23:59:59.000Z

188

End-use energy consumption estimates for U.S. commercial buildings, 1992  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs of the US Department of Energy, utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1992 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Statistical Adjusted Engineering (SAE) models were estimated by building type. The nonlinear SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption (based upon utility billing information). End-use consumption by fuel was estimated for each of the 6,751 buildings in the 1992 CBECS. The report displays the summary results for 11 separate building types as well as for the total US commercial building stock. 4 figs., 15 tabs.

Belzer, D.B.; Wrench, L.E.

1997-03-01T23:59:59.000Z

189

Fine Adjustment of Large Scale Air-Sea Energy Flux Parameterizations by Direct Estimates of Ocean Heat Transport  

Science Conference Proceedings (OSTI)

An inverse technique is used to adjust uncertain coefficients and parameters in the bulk formulae of climatological air-sea energy fluxes in order to obtain an agreement of indirect estimates of meridional heat transport with direct estimates in ...

Hans-Jrg Isemer; Jrgen Willebrand; Lutz Hasse

1989-10-01T23:59:59.000Z

190

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

SciTech Connect

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.

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

2008-03-01T23:59:59.000Z

191

Figure ES1. Schema for Estimating Energy and Energy-Related ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use > Figure ES1

192

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

SciTech Connect

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.

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

1995-01-01T23:59:59.000Z

193

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

SciTech Connect

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.

Truett, LF

2003-09-24T23:59:59.000Z

194

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

DOE Green Energy (OSTI)

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.

Truett, LF

2003-09-24T23:59:59.000Z

195

Accurate location estimation of moving object with energy constraint & adaptive update algorithms to save data  

E-Print Network (OSTI)

In research paper "Accurate estimation of the target location of object with energy constraint & Adaptive Update Algorithms to Save Data" one of the central issues in sensor networks is track the location, of moving object which have overhead of saving data, an accurate estimation of the target location of object with energy constraint .We do not have any mechanism which control and maintain data .The wireless communication bandwidth is also very limited. Some field which is using this technique are flood and typhoon detection, forest fire detection, temperature and humidity and ones we have these information use these information back to a central air conditioning and ventilation system. In this research paper, we propose protocol based on the prediction and adaptive based algorithm which is using less sensor node reduced by an accurate estimation of the target location. we are using minimum three sensor node to get the accurate position .We can extend it upto four or five to find more accurate location ...

Semwal, Vijay Bhaskar; Bhaskar, Vinay S; Sati, Meenakshi

2011-01-01T23:59:59.000Z

196

Estimates of Mass, Momentum and Kinetic Energy Fluxes of the Gulf Stream  

Science Conference Proceedings (OSTI)

Mass, momentum and kinetic-energy fluxes in the Gulf Stream have been estimated from hydrographic data taken by Fuglister in the Gulf Stream 60 project; the data cover the Stream as it flows eastward, from south of Georges Bank to the Grand ...

N. P. Fofonoff; M. M. Hall

1983-10-01T23:59:59.000Z

197

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 - 2011 1960 796.6 36.9 31.3 0.0 NA 37.0 37.0 901.9 1961 756.0 37.3 32.7 0.0 NA 36.4 36.4 862.4

198

Comparison of Energy Source Estimates Derived from Atmospheric Circulation Data with Satellite Measurements of Net Radiation  

Science Conference Proceedings (OSTI)

The distributions of the net sources of atmospheric dry and latent energy are evaluated by the residual technique using the reanalyzed ECMWF FGGE level IIIb data for February and July 1979. Their sum (i.e., the residual estimate of the source of ...

Carl Fortelius; Eero Holopainen

1990-06-01T23:59:59.000Z

199

Power in the wind. [Techniques for estimation of wind potential energy  

SciTech Connect

Techniques are described which can be used by engineers, technicians and homeowners for the estimation of potential energy in wind and in particular wind machines. They are suitable for onsite calculations with the use of nothing more than a pocket calculator. (JMT)

Gipe, P.

1981-04-01T23:59:59.000Z

200

Savings estimates for the Energy Star(registered trademark) voluntary labeling program  

Science Conference Proceedings (OSTI)

ENERGY STAR7 is a voluntary labeling program designed to identify and promote energy-efficient products. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than twenty products, spanning office equipment, residential heating and cooling equipment, new homes, commercial and residential lighting, home electronics, and major appliances. We present estimates of the energy, dollar and carbon savings already achieved by the program and provide savings forecasts for several market penetration scenarios for the period 2001 to 2010. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period. Finally, we assess the sensitivity of our target penetration case forecasts to greater or lesser marketing success by EPA and DOE, lower-than-expected future energy prices, and higher or lower rates of carbon emissions by electricity generators.

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

2000-07-13T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation), NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

Recoverable Resource Estimate of Identified Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad Augustine April 24, 2012 NREL/PR-6A20-54999 2 * Geopressured Geothermal o Reservoirs characterized by pore fluids under high confining pressures and high temperatures with correspondingly large quantities of dissolved methane o Soft geopressure: Hydrostatic to 15.83 kPa/m o Hard geopressure: 15.83- 22.61 kPa/m (lithostatic pressure gradient) * Common Geopressured Geothermal Reservoir Structure o Upper thick low permeability shale o Thin sandstone layer o Lower thick low permeability shale * Three Potential Sources of Energy o Thermal energy (Temperature > 100°C - geothermal electricity generation)

202

Analysis of the residential-energy-conservation tax credits: concepts and numerical estimates  

SciTech Connect

The purposes of the study were to develop an analytical framework for examining the effects of residential energy conservation tax credits, to identify the data needed to obtain numerical analyses of these effects, and to provide numerical estimates and sensitivity analyses of these effects. Investment in both energy-saving devices and renewable energy sources is examined. The variables analyzed are: oil import savings, their time path, revenue costs to the U.S. Treasury, and the net economic welfare gain or loss. The results of the study are summarized. (MCW)

Not Available

1982-06-01T23:59:59.000Z

203

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

SciTech Connect

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.

Lee, R.

2003-11-14T23:59:59.000Z

204

Energy loss estimates at several beam intensities in the Fermilab Booster  

SciTech Connect

The difference between the effective rf voltage and the accelerating voltage required to match the rate of change of the Booster magnetic field can be used to estimate the energy loss per beam turn. Although the effective rf voltage (RFSUM) and the synchronous phase can be experimentally measured and used to calculate the accelerating voltage, the calibration of the signals during the fast change of the Booster rf frequency is difficult and appears to introduce some offset to the beam energy loss estimation. An observed linear relationship between energy loss and beam intensity is used to evaluate the offset, which is then applied to the experimental data. This approach, rather than recalibrating the signals, is simple and suitable for minimizing the error in the data.

Xi Yang and James MacLachlan

2004-06-08T23:59:59.000Z

205

Bounding estimate of DWPF mercury emissions  

DOE Green Energy (OSTI)

Purges required for H2 flammability control and verification of elevated Formic Acid Vent Condenser (FAVC) exit temperatures due to NO{sub x} reactions have lead to significant changes in Chemical Process Cell (CPC) operating conditions. Accordingly, mercury emissions estimates have been updated based upon the new operating requirements, IDMS (Integrated DWPF Melter System) experience, and development of an NO{sub x}/FAVC model which predicts FAVC exit temperatures. Using very conservative assumptions and maximum purge rates, the maximum calculated Hg emissions is approximately 130 lbs/yr. A range of 100 to 120 lbs/yr is conservatively predicted for other operating conditions. Defense Waste Processing Facility (DWPF) permitted Hg emissions are 175 lbs/yr (0.02 lbs/hr annual average).

Jacobs, R.A.

1992-12-01T23:59:59.000Z

206

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

E-Print Network (OSTI)

T ti E St S tTetiaroa Energy Storage System Estimated ZBB Zinc Bromide Battery Performance and Costs Prull / KammenPrull / Kammen Renewable and Appropriate Energy Lab, UC Berkeley 7/26/2010 http

Kammen, Daniel M.

207

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

SciTech Connect

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.

Mathew, Paul

2008-10-01T23:59:59.000Z

208

NREL Study Finds U.S. Wind Energy Potential Triples Previous Estimates (Fact Sheet)  

DOE Green Energy (OSTI)

The maximum potential to generate wind power in the contiguous United States is more than three times greater than previously estimated, according to a National Renewable Energy Laboratory (NREL) study. The new analysis is based on the latest computer models and examines the wind potential at wind turbine hub heights of 80 meters and 100 meters. These hub heights, which reflect current and future models of wind turbines, are higher than those used in previous national estimates and are mainly responsible for the increased wind potential in the study.

Not Available

2011-02-01T23:59:59.000Z

209

Embedded DRAM (eDRAM) Power-Energy Estimation for System-on-a-chip (SoC) Applications  

Science Conference Proceedings (OSTI)

EmbeddedDRAM (eDRAM) power-energy estimation is presented for system-on-a-chip (SOC) applications. The main feature is the signal swing based analytic (SSBA) model, which improves the accuracy of the conventional SRAM power-energy models. The SSBA model ... Keywords: embedded DRAM, power estimation

Yong-Ha Park; Hoi-Jun Yoo; Jeonghoon Kook

2002-01-01T23:59:59.000Z

210

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

Science Conference Proceedings (OSTI)

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.

Esposito, A.; Augustine, C.

2012-04-01T23:59:59.000Z

211

Evaluation of a Two-Source Snow-Vegetation Energy Balance Model for Estimating Surface Energy Fluxes in a Rangeland Ecosystem  

Science Conference Proceedings (OSTI)

The utility of a snow-vegetation energy balance model for estimating surface energy fluxes is evaluated with field measurements at two sites in a rangeland ecosystem in southwestern Idaho during the winter of 2007: one site dominated by aspen ...

Cezar Kongoli; William P. Kustas; Martha C. Anderson; John M. Norman; Joseph G. Alfieri; Gerald N. Flerchinger; Danny Marks

212

Well-posed initial-boundary value problem for the harmonic Einstein equations using energy estimates  

E-Print Network (OSTI)

In recent work, we used pseudo-differential theory to establish conditions that the initial-boundary value problem for second order systems of wave equations be strongly well-posed in a generalized sense. The applications included the harmonic version of the Einstein equations. Here we show that these results can also be obtained via standard energy estimates, thus establishing strong well-posedness of the harmonic Einstein problem in the classical sense.

H. -O. Kreiss; O. Reula; O. Sarbach; J. Winicour

2007-07-27T23:59:59.000Z

213

The tradeoff between energy efficiency and user state estimation accuracy in mobile sensing  

E-Print Network (OSTI)

Abstract. People-centric sensing and user state recognition can provide rich contextual information for various mobile applications and services. However, continuously capturing this contextual information on mobile devices drains device battery very quickly. In this paper, we study the tradeoff between device energy consumption and user state recognition accuracy from a novel perspective. We assume the user state evolves as a hidden discrete time Markov chain (DTMC) and an embedded sensor on mobile device discovers user state by performing a sensing observation. We investigate a stationary deterministic sensor sampling policy which assigns different sensor duty cycles based on different user states, and propose two state estimation mechanisms providing the best guess of user state sequence when observations are missing. We analyze the effect of varying sensor duty cycles on (a) device energy consumption and (b) user state estimation error, and visualize the tradeoff between the two numerically for a two-state setting. Key words: mobile sensing, energy efficiency, user state estimation accuracy, tradeoff 1

Yi Wang; Bhaskar Krishnamachari; Qing Zhao; Murali Annavaram

2009-01-01T23:59:59.000Z

214

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

Science Conference Proceedings (OSTI)

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

Love, Lonnie J [ORNL

2012-12-01T23:59:59.000Z

215

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

E-Print Network (OSTI)

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 ...

Wu, Hao

2013-01-01T23:59:59.000Z

216

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

DOE Green Energy (OSTI)

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.

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

1990-01-01T23:59:59.000Z

217

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

Science Conference Proceedings (OSTI)

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 grids potential contribution to the nations goal of mitigating climate change by reducing the carbon footprint of the electric power system.

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

2010-01-27T23:59:59.000Z

218

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

Science Conference Proceedings (OSTI)

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 grids potential contribution to the nations goal of mitigating climate change by reducing the carbon footprint of the electric power system.

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

2010-01-15T23:59:59.000Z

219

Stability estimates for an inverse problem for the Schr\\"odinger equation at negative energy in two dimensions  

E-Print Network (OSTI)

We study the inverse problem of determining a real-valued potential in the two-dimensional Schr\\"odinger equation at negative energy from the Dirichlet-to-Neumann map. It is known that the problem is ill-posed and a stability estimate of logarithmic type holds. In this paper we prove three new stability estimates. The main feature of the first one is that the stability increases exponentially with respect to the smoothness of the potential, in a sense to be made precise. The others show how the first estimate depends on the energy, for low and high energies (in modulus). In particular it is found that for high energies the stability estimate changes, in some sense, from logarithmic type to Lipschitz type: in this sense the ill-posedness of the problem decreases when increasing the energy (in modulus).

Santacesaria, Matteo

2012-01-01T23:59:59.000Z

220

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

Gille, Sarah T.

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Practical method for estimating wind characteristics at potential wind-energy-conversion sites  

DOE Green Energy (OSTI)

Terrain features and variations in the depth of the atmospheric boundary layer produce local variations in wind, and these variations are not depicted well by standard weather reports. A method is developed to compute local winds for use in estimating the wind energy available at any potential site for a wind turbine. The method uses the terrain heights for an area surrounding the site and a series of wind and pressure reports from the nearest four or five national Weather Service stations. An initial estimate of the winds in the atmospheric boundary layer is made, then these winds are adjusted to satisfy the continuity equation. In this manner the flow is made to reflect the influences of the terrain and the shape of the boundary-layer top. This report describes in detail the methodology and results, and provides descriptions of the computer programs, instructions for using them, and complete program listings.

Endlich, R. M.; Ludwig, F. L.; Bhumralkar, C. M.; Estoque, M. A.

1980-08-01T23:59:59.000Z

222

Bayesian Estimates of Free Energies from Nonequilibrium Work Data in the Presence of Instrument Noise  

Science Conference Proceedings (OSTI)

The Jarzynski equality and the fluctuation theorem relate equilibrium free energy differences to nonequilibrium measurements of the work. These relations extend to single-molecule experiments that have probed the finite-time thermodynamics of proteins and nucleic acids. The effects of experimental error and instrument noise have not been considered previously. Here, we present a Bayesian formalism for estimating free energy changes from nonequilibrium work measurements that compensates for instrument noise and combines data from multiple driving protocols. We reanalyze a recent set of experiments in which a single RNA hairpin is unfolded and refolded using optical tweezers at three different rates. Interestingly, the fastest and farthest-from-equilibrium measurements contain the least instrumental noise and, therefore, provide a more accurate estimate of the free energies than a few slow, more noisy, near-equilibrium measurements. The methods we propose here will extend the scope of single-molecule experiments; they can be used in the analysis of data from measurements with atomic force microscopy, optical, and magnetic tweezers

Maragakis, Paul; Ritort, Felix; Bustamante, Carlos; Karplus, Martin; Crooks, Gavin E.

2008-07-08T23:59:59.000Z

223

A new approach to estimate commercial sector end-use load shapes and energy use intensities  

SciTech Connect

We discuss the application of an end-use load shape estimation technique to develop annual energy use intensities (EUIs) and hourly end-use load shapes (LSs) for commercial buildings in the Pacific Gas and Electric Company (PG&E) service territory. Results will update inputs for the commercial sector energy and peak demand forecasting models used by PG&E and the California Energy Commission (CEC). EUIs were estimated for 11 building types, up to 10 end uses, 3 fuel types, 2 building vintages, and up to 5 climate regions. The integrated methodology consists of two major parts. The first part is the reconciliation of initial end-use load-shape estimates with measured whole-building load data to produce intermediate EUIs and load shapes, using LBL`s End-use Disaggregation Algorithm, EDA. EDA is a deterministic hourly algorithm that relies on the observed characteristics of the measured hourly whole-building electricity use and disaggregates it into major end-use components. The end-use EUIs developed through the EDA procedure represent a snap-shot of electricity use by building type and end-use for two regions of the PG&E service territory, for the year that disaggregation is performed. In the second part of the methodology, we adjust the EUIs for direct application to forecasting models based on factors such as climatic impacts on space-conditioning EUIs, fuel saturation effects, building and equipment vintage, and price impacts. Core data for the project are detailed on-site surveys for about 800 buildings, mail surveys ({approximately}6000), load research data for over 1000 accounts, and hourly weather data for five climate regions.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1994-08-01T23:59:59.000Z

224

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet), The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

Triples Previous Estimates of Triples Previous Estimates of U.S. Wind Power Potential The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques that triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009. Detailed state-by-state estimates of wind energy potential for the United States show the estimated average wind speeds at an 80-meter height. The wind resource maps and estimates

225

Efficient estimation of energy transfer efficiency in light-harvesting complexes  

E-Print Network (OSTI)

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.

Alireza Shabani; Masoud Mohseni; Herschel Rabitz; Seth Lloyd

2011-03-20T23:59:59.000Z

226

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

Science Conference Proceedings (OSTI)

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.

Oladosu, Gbadebo A [ORNL

2012-01-01T23:59:59.000Z

227

Reliability estimation for multiunit nuclear and fossil-fired industrial energy systems  

SciTech Connect

The purpose of this paper is twofold: to report industrial experience with process energy system reliability, and to assess the reliability of multiunit nuclear and fossil-fired energy systems in an industrial setting. Reliability here refers to the percentage of clock time that sufficient amounts of steam energy were available to permit desired production quotas to be met at a particular plant. A nationwide survey was conducted to obtain data relative to energy system reliabilities during 1973--74, and these data for 29 plants from chemicals and allied products (S.I.C. 28), petroleum refining and related industries (S.I.C. 29) and primary metals industries (S.I.C. 33) are reported here. A simulation model in which various operating characteristics of the energy systems were taken into account was developed to obtain estimates of reliabilities of proposed multiunit nuclear and fossil-fired systems. Based on several example problems evaluated with the simulation model, study results indicated that multiple nuclear units or a combination of nuclear and fossil-fired units could provide adequate reliability to meet large-scale industrial requirements for continuity of service.

Sullivan, W.G.; Wilson, J.V.; Klepper, O.H.

1978-01-01T23:59:59.000Z

228

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

DOE Green Energy (OSTI)

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

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

2006-11-01T23:59:59.000Z

229

Decision support system for estimating the technically and economically exploitable renewable energy sources potential in wide areas for connection to high voltage networks  

Science Conference Proceedings (OSTI)

A decision support information system for estimating the technically and economically exploitable renewable energy sources (RES) potential in wide areas is presented in this paper. The system estimates the RES potential in specific areas, examines ... Keywords: DSS, GIS, biomass, decision support systeoms, distributed generation, geographical information systems, high voltage network, renewable energy estimation, renewable energy forecasting, renewable energy potential, renewable energy sources, small hydro, wind energy, wind power

Michael Psalidas; Demosthenes Agoris; Vassilis Kilias; Kostas Tigas; Panagiotis Stratis; Giannis Vlachos

2005-04-01T23:59:59.000Z

230

Twilight Irradiance Reflected by the Earth Estimated from Clouds and the Earth's Radiant Energy System (CERES) Measurements  

Science Conference Proceedings (OSTI)

The upward shortwave irradiance at the top of the atmosphere when the solar zenith angle is greater than 90 (twilight irradiance) is estimated from radiance measurements by the Clouds and the Earth's Radiant Energy System (CERES) instrument on ...

Seiji Kato; Norman G. Loeb

2003-08-01T23:59:59.000Z

231

Estimation of costs for applications of remediation technologies for the Department of Energy`s Programmatic Environmental Impact Statement  

SciTech Connect

The Programmatic Environmental impact Statement (PEIS) being developed by the US Department of Energy (DOE) for environmental restoration (ER) and waste management (WM) activities expected to be carried out across the DOE`s nationwide complex of facilities is assessing the impacts of removing, transporting, treating, storing, and disposing of waste from these ER and WM activities. Factors being considered include health and safety impacts to the public and to workers, impacts on the environment, costs and socio-economic impacts, and near-term and residual risk during those ER and WM operations. The purpose of this paper is to discuss the methodology developed specifically for the PEIS to estimate costs associated with the deployment and application of individual remediation technologies. These individual costs are used in developing order-of-magnitude cost estimates for the total remediation activities. Costs are developed on a per-unit-of-material-to-be-treated basis (i.e., $/m{sup 3}) to accommodate remediation projects of varying sizes. The primary focus of this cost-estimating effort was the development of capital and operating unit cost factors based on the amount of primary media to be removed, handled, and treated. The unit costs for individual treatment technologies were developed using information from a variety of sources, mainly from periodicals, EPA documentation, handbooks, vendor contacts, and cost models. The unit cost factors for individual technologies were adjusted to 1991 dollars.

Villegas, A.J.; Hansen, R.I.; Humphreys, K.K.; Paananen, J.M.; Gildea, L.F.

1994-03-01T23:59:59.000Z

232

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

Science Conference Proceedings (OSTI)

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.

Porro, C.; Augustine, C.

2012-04-01T23:59:59.000Z

233

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

Science Conference Proceedings (OSTI)

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.

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

2012-09-01T23:59:59.000Z

234

Estimating the ground state energy of the Schrdinger equation for convex potentials  

E-Print Network (OSTI)

In 2011, the fundamental gap conjecture for Schr\\"odinger operators was proven. This can be used to estimate the ground state energy of the time-independent Schr\\"odinger equation with a convex potential and relative error \\epsilon. Classical deterministic algorithms solving this problem have cost exponential in the number of its degrees of freedom d. We show a quantum algorithm, that is based on a perturbation method, for estimating the ground state energy with relative error \\epsilon. The cost of the algorithm is polynomial in d and \\epsilon^{-1}, while the number of qubits is polynomial in d and \\log\\epsilon^{-1}. In addition, we present an algorithm for preparing a quantum state that overlaps within 1-\\delta, \\delta \\in (0,1), with the ground state eigenvector of the discretized Hamiltonian. This algorithm also approximates the ground state with relative error \\epsilon. The cost of the algorithm is polynomial in d, \\epsilon^{-1} and \\delta^{-1}, while the number of qubits is polynomial in d, \\log\\epsilon^{-1} and \\log\\delta^{-1}.

Anargyros Papageorgiou; Iasonas Petras

2013-09-25T23:59:59.000Z

235

Estimating Energy and Water Losses in Residential Hot WaterDistribution Systems  

DOE Green Energy (OSTI)

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.

Lutz, James

2005-02-26T23:59:59.000Z

236

PHEV Energy Use Estimation: Validating the Gamma Distribution for Representing the Random Daily Driving Distance  

SciTech Connect

The petroleum and electricity consumptions of plug-in hybrid electric vehicles (PHEVs) are sensitive to the variation of daily vehicle miles traveled (DVMT). Some studies assume DVMT to follow a Gamma distribution, but such a Gamma assumption is yet to be validated. This study finds the Gamma assumption valid in the context of PHEV energy analysis, based on continuous GPS travel data of 382 vehicles, each tracked for at least 183 days. The validity conclusion is based on the found small prediction errors, resulting from the Gamma assumption, in PHEV petroleum use, electricity use, and energy cost. The finding that the Gamma distribution is valid and reliable is important. It paves the way for the Gamma distribution to be assumed for analyzing energy uses of PHEVs in the real world. The Gamma distribution can be easily specified with very few pieces of driver information and is relatively easy for mathematical manipulation. Given the validation in this study, the Gamma distribution can now be used with better confidence in a variety of applications, such as improving vehicle consumer choice models, quantifying range anxiety for battery electric vehicles, investigating roles of charging infrastructure, and constructing online calculators that provide personal estimates of PHEV energy use.

Lin, Zhenhong [ORNL; Dong, Jing [ORNL; Liu, Changzheng [ORNL; Greene, David L [ORNL

2012-01-01T23:59:59.000Z

237

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

238

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

E-Print Network (OSTI)

Washington, DC. : US Department of Energy, Energy EfficiencyAir Conditioners. US Department of Energy, Energy Efficiency1997. Energy Data Sourcebook for the U.S. Residential

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

2002-01-01T23:59:59.000Z

239

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

E-Print Network (OSTI)

Washington, DC. : US Department of Energy, Energy Efficiency1997. Energy Data Sourcebook for the U.S. ResidentialAir Conditioners. US Department of Energy, Energy Efficiency

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

2004-01-01T23:59:59.000Z

240

An Estimate of the Lorenz Energy Cycle for the World Ocean Based on the STORM/NCEP Simulation  

Science Conference Proceedings (OSTI)

This paper presents an estimate of the oceanic Lorenz energy cycle derived from a simulation forced by 6-hourly fluxes obtained from NCEPNCAR reanalysis-1. The total rate of energy generation amounts to 6.6 TW, of which 1.9 TW is generated by ...

Jin-Song von Storch; Carsten Eden; Irina Fast; Helmuth Haak; Daniel Hernndez-Deckers; Ernst Maier-Reimer; Jochem Marotzke; Detlef Stammer

2012-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

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

SciTech Connect

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.

Not Available

1980-08-13T23:59:59.000Z

242

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

Science Conference Proceedings (OSTI)

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.

Not Available

1980-08-29T23:59:59.000Z

243

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

E-Print Network (OSTI)

5-5. 1993 Electricity Consumption Estimates by End Use forft ) 1993 Electricity Consumption Estimates by End Use forTotal) 1993 Electricity Consumption Estimates by End Use for

Konopacki, S.J.

2010-01-01T23:59:59.000Z

244

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

E-Print Network (OSTI)

construction, Energy and Buildings 20: 205217. Chau 2007.management in China, Energy and Buildings (forthcoming).addition to operational energy, buildings embody the energy

Fridley, David G.

2008-01-01T23:59:59.000Z

245

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

DOE Green Energy (OSTI)

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.

Glatzmaier, G.

2011-12-01T23:59:59.000Z

246

Experimental Estimation Of Energy Damping During Free Rocking Of Unreinforced Masonry Walls. First Results  

SciTech Connect

This paper presents an ongoing experimental program on unreinforced masonry walls undergoing free rocking. Aim of the laboratory campaign is the estimation of kinetic energy damping exhibited by walls released with non-zero initial conditions of motion. Such energy damping is necessary for dynamic modelling of unreinforced masonry local mechanisms. After a brief review of the literature on this topic, the main features of the laboratory tests are presented. The program involves the experimental investigation of several parameters: 1) unit material (brick or tuff), 2) wall aspect ratio (ranging between 14.5 and 7.1), 3) restraint condition (two-sided or one-sided rocking), and 4) depth of the contact surface between facade and transverse walls (one-sided rocking only). All walls are single wythe and the mortar is pozzuolanic. The campaign is still in progress. However, it is possible to present the results on most of the mechanical properties of mortar and bricks. Moreover, a few time histories are reported, already indicating the need to correct some of the assumptions frequent in the literature.

Sorrentino, Luigi; Masiani, Renato; Benedetti, Stefano [Dipartimento di Ingegneria Strutturale e Geotecnica, Sapienza Universita di Roma, via Antonio Gramsci, 53-00197 Roma (Italy)

2008-07-08T23:59:59.000Z

247

User account | SAML IdM  

NLE Websites -- All DOE Office Websites (Extended Search)

account(active tab) account(active tab) Log in Request new password Type Of User * Public Publisher Display Name * E-mail * A valid e-mail address. All e-mails from the system will be sent to this address. The e-mail address is not made public and will only be used if you wish to receive a new password or wish to receive certain news or notifications by e-mail. First Name Middle Name Last Name Organization Type * - Select a value - Federal Government Local Government State Government Non-Profit Tribal University Other Agency * None Alaska Natural Gas Transportation Projects American Battle Monuments Commission Appalachian Regional Commission Broadcasting Board of Governors Chemical Safety Board Christopher Columbus Fellowship Foundation Commodity Futures Trading Commission Congressional Budget Office Consumer Financial

248

CALCULATING SEPARATE MAGNETIC FREE ENERGY ESTIMATES FOR ACTIVE REGIONS PRODUCING MULTIPLE FLARES: NOAA AR11158  

SciTech Connect

It is well known that photospheric flux emergence is an important process for stressing coronal fields and storing magnetic free energy, which may then be released during a flare. The Helioseismic and Magnetic Imager (HMI) on board the Solar Dynamics Observatory (SDO) captured the entire emergence of NOAA AR 11158. This region emerged as two distinct bipoles, possibly connected underneath the photosphere, yet characterized by different photospheric field evolutions and fluxes. The combined active region complex produced 15 GOES C-class, two M-class, and the X2.2 Valentine's Day Flare during the four days after initial emergence on 2011 February 12. The M and X class flares are of particular interest because they are nonhomologous, involving different subregions of the active region. We use a Magnetic Charge Topology together with the Minimum Current Corona model of the coronal field to model field evolution of the complex. Combining this with observations of flare ribbons in the 1600 A channel of the Atmospheric Imaging Assembly on board SDO, we propose a minimization algorithm for estimating the amount of reconnected flux and resulting drop in magnetic free energy during a flare. For the M6.6, M2.2, and X2.2 flares, we find a flux exchange of 4.2 Multiplication-Sign 10{sup 20} Mx, 2.0 Multiplication-Sign 10{sup 20} Mx, and 21.0 Multiplication-Sign 10{sup 20} Mx, respectively, resulting in free energy drops of 3.89 Multiplication-Sign 10{sup 30} erg, 2.62 Multiplication-Sign 10{sup 30} erg, and 1.68 Multiplication-Sign 10{sup 32} erg.

Tarr, Lucas; Longcope, Dana; Millhouse, Margaret [Department of Physics, Montana State University, Bozeman, MT 59717 (United States)

2013-06-10T23:59:59.000Z

249

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

NLE Websites -- All DOE Office Websites (Extended Search)

LBNL-3277E LBNL-3277E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Review of Evaluation, Measurement and Verification Approaches Used to Estimate the Load Impacts and Effectiveness of Energy Efficiency Programs Mike Messenger*, Ranjit Bharvirkar*, Bill Golemboski*, Charles A. Goldman**, Steven R. Schiller*** *Itron, Inc., **Lawrence Berkeley National Laboratory, ***Schiller Consulting, Inc. Environmental Energy Technologies Division April 2010 The work described in this report was funded by the Office of Electricity Delivery and Energy Reliability (OE); Permitting, Siting, and Analysis Division of the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. Disclaimer This document was prepared as an account of work sponsored by the United

250

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

SciTech Connect

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 programs 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.

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

2012-09-28T23:59:59.000Z

251

How the Carbon Emissions Were Estimated - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

How the Carbon Emissions Were Estimated. Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human ...

252

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook Energy Disruptions International Energy Outlook ... 1984: 29,025-22: 77,169: 44,668: 15,097: R 14,197:

253

Age Estimations of M31 Globular Clusters from Their Spectral Energy Distributions  

E-Print Network (OSTI)

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

Jun Ma; Xu Zhou; David Burstein; Yanbin Yang; Zhou Fan; Jiansheng Chen; Zhaoji Jiang

2005-12-07T23:59:59.000Z

254

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

DOE Green Energy (OSTI)

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.

Esposito, A.; Augustine, C.

2011-10-01T23:59:59.000Z

255

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

256

Least squares parameter estimation methods for material decomposition with energy discriminating detectors  

Science Conference Proceedings (OSTI)

Purpose: Energy resolving detectors provide more than one spectral measurement in one image acquisition. The purpose of this study is to investigate, with simulation, the ability to decompose four materials using energy discriminating detectors and least squares minimization techniques. Methods: Three least squares parameter estimation decomposition techniques were investigated for four-material breast imaging tasks in the image domain. The first technique treats the voxel as if it consisted of fractions of all the materials. The second method assumes that a voxel primarily contains one material and divides the decomposition process into segmentation and quantification tasks. The third is similar to the second method but a calibration was used. The simulated computed tomography (CT) system consisted of an 80 kVp spectrum and a CdZnTe (CZT) detector that could resolve the x-ray spectrum into five energy bins. A postmortem breast specimen was imaged with flat panel CT to provide a model for the digital phantoms. Hydroxyapatite (HA) (50, 150, 250, 350, 450, and 550 mg/ml) and iodine (4, 12, 20, 28, 36, and 44 mg/ml) contrast elements were embedded into the glandular region of the phantoms. Calibration phantoms consisted of a 30/70 glandular-to-adipose tissue ratio with embedded HA (100, 200, 300, 400, and 500 mg/ml) and iodine (5, 15, 25, 35, and 45 mg/ml). The x-ray transport process was simulated where the Beer-Lambert law, Poisson process, and CZT absorption efficiency were applied. Qualitative and quantitative evaluations of the decomposition techniques were performed and compared. The effect of breast size was also investigated. Results: The first technique decomposed iodine adequately but failed for other materials. The second method separated the materials but was unable to quantify the materials. With the addition of a calibration, the third technique provided good separation and quantification of hydroxyapatite, iodine, glandular, and adipose tissues. Quantification with this technique was accurate with errors of 9.83% and 6.61% for HA and iodine, respectively. Calibration at one point (one breast size) showed increased errors as the mismatch in breast diameters between calibration and measurement increased. A four-point calibration successfully decomposed breast diameter spanning the entire range from 8 to 20 cm. For a 14 cm breast, errors were reduced from 5.44% to 1.75% and from 6.17% to 3.27% with the multipoint calibration for HA and iodine, respectively. Conclusions: The results of the simulation study showed that a CT system based on CZT detectors in conjunction with least squares minimization technique can be used to decompose four materials. The calibrated least squares parameter estimation decomposition technique performed the best, separating and accurately quantifying the concentrations of hydroxyapatite and iodine.

Le, Huy Q.; Molloi, Sabee [Department of Radiological Sciences, University of California, Irvine, California 92697 (United States)

2011-01-15T23:59:59.000Z

257

Comprehensive tables giving physical data and thermal energy estimates for young igneous systems of the United States  

DOE Green Energy (OSTI)

Two tables are presented. The first is a comprehensive table of 157 young igneous systems in the western United States, giving locations, physical data, and thermal energy estimates, where appropriate for each system. The second table is a list of basaltic fields probably less than 10,000 years old in the western United States.

Smith, R.L.; Shaw, H.R.; Leudke, R.G.; Russell, S.L.

1978-01-01T23:59:59.000Z

258

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

E-Print Network (OSTI)

that minimizes energy dissipation. As in [25], we assume a symmetric radio channel making the energy needed). where Vsup is the supply voltage. 2.2. Sensor Logging Sensor logging consumes energy used for reading b-controller, is attributed to two components: energy loss from switching, Eswitch, and energy loss due to leakage current

Halgamuge, Malka N.

259

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

Science Conference Proceedings (OSTI)

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).

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

2008-06-03T23:59:59.000Z

260

Estimating the Opportunity Cost of REDD+: A Training Manual | Open Energy  

Open Energy Info (EERE)

Estimating the Opportunity Cost of REDD+: A Training Manual Estimating the Opportunity Cost of REDD+: A Training Manual Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating the Opportunity Cost of REDD+: A Training Manual Agency/Company /Organization: World Bank Institute Sector: Land, Climate Focus Area: Forestry Resource Type: Guide/manual Website: wbi.worldbank.org/wbi/Data/wbi/wbicms/files/drupal-acquia/wbi/OppCosts Estimating the Opportunity Cost of REDD+: A Training Manual Screenshot References: Estimating the Opportunity Cost of REDD+: A Training Manual[1] "The manual shares hands-on experiences from field programs and presents the essential practical and theoretical steps, methods and tools to estimate the opportunity costs of REDD+ at the national level. The manual addresses the calculation of costs and benefits of the various land use

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261

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

E-Print Network (OSTI)

from the Long-Range Energy Alternatives Planning (LEAP) end-using the Long-Range Energy Alternatives Planning (LEAP)Primary Energy Savings by Fuel, Alternative Case, Trillion

Fridley, David G.

2008-01-01T23:59:59.000Z

262

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

E-Print Network (OSTI)

A Hidden Opportunity for Energy Savings." In Proceedings ofOffice Technology Energy Use and Savings Potential in Newgoal was to promote energy-saving features already common in

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

2006-01-01T23:59:59.000Z

263

Estimating Energy and Water Losses in Residential Hot Water Distribution Systems  

E-Print Network (OSTI)

For dishwashers, not only is energy wasted as the hot waterhas the energy used to heat this water been wasted, but thewasted heat as water cools down in the distribution system after a draw; and the energy

Lutz, James

2005-01-01T23:59:59.000Z

264

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

E-Print Network (OSTI)

Total embodied energy was highest for the hotel subsector,School Hotel The total non-operational embodied energy ofEnergy, Reference Case) Million Tonnes CO2 Hospital Hotel

Fridley, David G.

2008-01-01T23:59:59.000Z

265

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

System Energy Losses 12: Total: Fossil Fuels: Renewable Energy 2: Total Primary: Coal: Coal Coke Net Imports: Natural Gas 3: ... 8 Photovoltaic (PV) electricity net ...

266

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

E-Print Network (OSTI)

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

Fridley, David G.

2008-01-01T23:59:59.000Z

267

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

E-Print Network (OSTI)

component of Chinas total energy consumption mix. However,China-specific factors were used to calculate the energy mix

Fridley, David G.

2008-01-01T23:59:59.000Z

268

Cloud Effects on the Meridional Atmospheric Energy Budget Estimated from Clouds and the Earths Radiant Energy System (CERES) Data  

Science Conference Proceedings (OSTI)

The zonal mean atmospheric cloud radiative effect, defined as the difference between the top-of-the-atmosphere (TOA) and surface cloud radiative effects, is estimated from 3 yr of Clouds and the Earths Radiant Energy System (CERES) data. The ...

Seiji Kato; Fred G. Rose; David A. Rutan; Thomas P. Charlock

2008-09-01T23:59:59.000Z

269

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

Open Energy Info (EERE)

Plants Included in Planned Estimate Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of plants included in the estimate of planned capacity per GEA Pages using the property "Number of Plants Included in Planned Estimate" Showing 21 pages using this property. A Alaska Geothermal Region + 3 + C Cascades Geothermal Region + 1 + Central Nevada Seismic Zone Geothermal Region + 4 + G Gulf of California Rift Zone Geothermal Region + 7 + H Hawaii Geothermal Region + 1 + Holocene Magmatic Geothermal Region + 4 + I Idaho Batholith Geothermal Region + 1 + N Northern Basin and Range Geothermal Region + 9 + Northern Rockies Geothermal Region + 0 + Northwest Basin and Range Geothermal Region + 6 +

270

Estimates for the energy density of critical points of a class of conformally invariant variational problems  

E-Print Network (OSTI)

We show that the energy density of critical points of a class of conformally invariant variational problems with small energy on the unit 2-disk B_1 lies in the local Hardy space h^1(B_1). As a corollary we obtain a new proof of the energy convexity and uniqueness result for weakly harmonic maps with small energy on B_1.

Lamm, Tobias

2012-01-01T23:59:59.000Z

271

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

E-Print Network (OSTI)

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

272

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

SciTech Connect

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.

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

2010-12-08T23:59:59.000Z

273

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

DOE Green Energy (OSTI)

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

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

2005-11-01T23:59:59.000Z

274

Efficient estimation of energy transfer efficiency in light-harvesting complexes  

E-Print Network (OSTI)

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 ...

Mohseni, Masoud

275

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

DOE Green Energy (OSTI)

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

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

2011-01-01T23:59:59.000Z

276

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

E-Print Network (OSTI)

air conditioners and dishwashers. Because energy efficiencyWashers. Y Dishwashers Y Room Airclothes washers, dishwashers, room air conditioners (RACs),

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

2004-01-01T23:59:59.000Z

277

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

SciTech Connect

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.

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

2012-03-01T23:59:59.000Z

278

Energy Consumption Estimation for Room Air-conditioners Using Room Temperature Simulation with One-Minute Intervals  

E-Print Network (OSTI)

For the purpose of developing optimized control algorithm for room air-conditioners to ensure their energy efficiency, a short time interval (i.e., one minute) simulation of building thermal performance is necessary because the sampling time interval for room air-conditioner control is one minute in general. This paper studies the short-time interval room air temperature simulation method using the response factor method. Using the simulated room air temperature, an air-conditioner's running 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. The cooling amount produced by the GHP is calculated using measured refrigerant pressure and temperature at condenser and evaporator respectively. The Root Mean Square Error (RMSE) between measured cooling amount and simulated cooling load is 18.9 percent of the average measured value. The profile of simulated room air temperature in both air-conditioned daytime and nighttime without air-conditioning can match the measured room air temperature. With respect to the estimated energy consumption, the profile of simulated energy consumption can match the measured data. The simulation accuracy of room air temperature and energy consumption during the air-conditioner start-up period is not good and needs to be improved in future research. But in general, the verification shows that this energy consumption simulation method is acceptable for evaluating the energy performance of a room air-conditioner, and can also be a useful tool for commissioning room air-conditioners.

Wang, F.; Yoshida, H.; Matsumoto, K.

2006-01-01T23:59:59.000Z

279

Estimation of fatigue and extreme load distributions from limited data with application to wind energy systems.  

SciTech Connect

An estimate of the distribution of fatigue ranges or extreme loads for wind turbines may be obtained by separating the problem into two uncoupled parts, (1) a turbine specific portion, independent of the site and (2) a site-specific description of environmental variables. We consider contextually appropriate probability models to describe the turbine specific response for extreme loads or fatigue. The site-specific portion is described by a joint probability distribution of a vector of environmental variables, which characterize the wind process at the hub-height of the wind turbine. Several approaches are considered for combining the two portions to obtain an estimate of the extreme load, e.g., 50-year loads or fatigue damage. We assess the efficacy of these models to obtain accurate estimates, including various levels of epistemic uncertainty, of the turbine response.

Fitzwater, LeRoy M. (Stanford University, Stanford, CA)

2004-01-01T23:59:59.000Z

280

Table 2.1c Commercial Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat ratesee Table A6).

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Table 2.1b Residential Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

6 Solar thermal direct use energy, and photovoltaic (PV) electricity net generation (converted to Btu ... Includes small amounts of distributed solar thermal and PV

282

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

E-Print Network (OSTI)

Y Dishwashers.Y Room Airfor clothes washers and dishwashers are derived from PG&Eair conditioners and dishwashers. Because energy efficiency

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

2004-01-01T23:59:59.000Z

283

Estimating Energy and Water Losses in Residential Hot Water Distribution Systems  

E-Print Network (OSTI)

by showers, faucets, and dishwashers. (Actual leaks of hotdraws for sinks and dishwashers may not waste water, from anheat the water. For dishwashers, not only is energy wasted

Lutz, James

2005-01-01T23:59:59.000Z

284

Regional and National Estimates of the PotentialEnergy Use, Energy Cost, and CO{sub 2} Emissions Associated with Radon Mitigation by Sub-slab Depressurization  

SciTech Connect

Active sub-slab depressurization (SSD) systems are an effective means of reducing indoor radon concentrations in residential buildings. However, energy is required to operate the system fan and to heat or cool the resulting increased building ventilation. We present regional and national estimates of the energy requirements, operating expenses, and CO{sub 2} emissions associated with using SSD systems at saturation (i.e., in all U.S. homes with radon concentrations above the EPA remediation guideline and either basement or slab-on-grade construction). The primary source of uncertainty in these estimates is the impact of the SSD system on house ventilation rate. Overall, individual SSD system operating expenses are highest in the Northeast and Midwest at about $99 y{sup -1}, and lowest in the South and West at about $66 y{sup -1}. The fan consumes, on average, about 40% of the end-use energy used to operate the SSD system and accounts for about 60% of the annual expense. At saturation, regional impacts are largest in the Midwest because this area has a large number of mitigable houses and a relatively high heating load. We estimate that operating SSD systems in U.S. houses where it is both appropriate and possible (about 2.6 million houses), will annually consume 1.7 x 10{sup 4} (6.4 x 10{sup 3} to 3.9 x 10{sup 4}) TJ of end-use energy, cost $230 (130 to 400) million (at current energy prices), and generate 2.0 x 10{sup 9} (1.2 x 10{sup 9} to 3.5 x 10{sup 9}) kg of CO{sub 2}. Passive or energy efficient radon mitigation systems currently being developed offer opportunities to substantially reduce these impacts.

Riley, W.J.; Fisk, W.J.; Gadgil, A.J.

1996-03-01T23:59:59.000Z

285

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

E-Print Network (OSTI)

Energy Information Administration, Office of Energy MarketsEnergy Information Administration, Office of Energy Markets

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

286

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1988-1998 Total Energy *** Electricity ***...

287

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity ***...

288

Microsoft Word - Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation_Final2.docx  

NLE Websites -- All DOE Office Websites (Extended Search)

XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation 1 Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Jennifer M. Logue, William J. N. Turner, Iain S. Walker, and Brett C. Singer Environmental Energy Technologies Division June 2012 LBNL-5796E LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor

289

Suburban Energy Balance Estimates for Vancouver, B.C., Using the Bowen Ratio-Energy Balance Approach  

Science Conference Proceedings (OSTI)

The energy balance of a suburban site in Vancouver, B.C. in late summer is presented. The balance is obtained from direct measurements of net radiation, parameterized heat storage and turbulent fluxes determined according to the Bowen ratio-...

B. D. Kalanda; T. R. Oke; D. L. Spittlehouse

1980-07-01T23:59:59.000Z

290

The DOE Slide Rule: An Energy Conservation Estimating Tool for Homebuilders  

E-Print Network (OSTI)

How much insulation should be placed in the ceiling of a home? Which furnace is the best investment? Is reflective glazing a marketable option? The DOE slide rules and accompanying guides are designed to help answer such questions by providing a way to measure the impact on home energy use of a variety of energy conservation options. The whole kit is designed to be accurate and easy to use. It provides guidance on energy efficient construction practices, and a means to quantify them by using the slide rules. An economic analysis is also suggested. The work aims at transferring high level research to non-technical users: homeowners, builders and lenders.

Winter, S.; Tuluca, A.

1984-01-01T23:59:59.000Z

291

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

E-Print Network (OSTI)

of energy consumed from coal, coke, liquid fuels, naturalwas expressed in terms of coal equivalency. 2.1.8.1 Tnational fuel inputs of coal, natural gas and petroleum were

Fridley, David G.

2008-01-01T23:59:59.000Z

292

Estimation of land surface water and energy balance flux components and closure relation using conditional sampling  

E-Print Network (OSTI)

Models of terrestrial water and energy balance include numerical treatment of heat and moisture diffusion in the soil-vegetation-atmosphere continuum. These two diffusion and exchange processes are linked only at a few ...

Farhadi, Leila

2012-01-01T23:59:59.000Z

293

Table 3.5 Consumer Expenditure Estimates for Energy by Source ...  

U.S. Energy Information Administration (EIA)

1972. 5,415 -26: 13,198 : 7,552: 1,682: 2,834 : 35,346 : ... 8 Asphalt and road oil, aviation gasoline, kerosene, ... "State Energy Data 2010: Prices and Expenditures"

294

Means and Trends of Shortwave Irradiance at the Surface Estimated from Global Energy Balance Archive Data  

Science Conference Proceedings (OSTI)

Means and trends of shortwave irradiance at the earths surface are calculated from pyranometer measurements stored in the Global Energy Balance Archive (GEBA) database. The GEBA database contains the most comprehensive set of shortwave ...

H. Gilgen; M. Wild; A. Ohmura

1998-08-01T23:59:59.000Z

295

Estimation of Surface Radiation and Energy Flux Densities from Single-Level Weather Data  

Science Conference Proceedings (OSTI)

A scheme is proposed that relates surface flux densities of sensible heat, latent heat, and momentum to routine weather data. The scheme contains parameterizations concerning the radiation components and the surface energy flux densities. The ...

Wim C. de Rooy; A. A. M. Holtslag

1999-05-01T23:59:59.000Z

296

Estimation of Nonlinear Energy Transfer Spectra by the Cross-Spectral Method  

Science Conference Proceedings (OSTI)

Spectral formulas are derived to compute nonlinear energy transfer spectra by use of the cross-spectral technique. Nonlinear product terms are calculated directly from dependent variables without using the conventional interaction Fourier ...

Yoshikazu Hayashi

1980-02-01T23:59:59.000Z

297

Large-Nc estimate of the chiral low-energy constants  

E-Print Network (OSTI)

Chiral low-energy constants incorporate short-distance information from the dynamics involving heavier degrees of freedom not present in the chiral Lagrangian. We have studied the contribution of the lightest resonances to the chiral low-energy constants, up to O(p^6), within a systematic procedure guided by the large-Nc limit of QCD and also including short-distance asymptotic constraints.

J. Portoles

2007-02-18T23:59:59.000Z

298

A BEAMING-INDEPENDENT ESTIMATE OF THE ENERGY DISTRIBUTION OF LONG GAMMA-RAY BURSTS: INITIAL RESULTS AND FUTURE PROSPECTS  

SciTech Connect

We present single-epoch radio afterglow observations of 24 long-duration gamma-ray burst (GRB) on a timescale of {approx}> 100 days after the burst. These observations trace the afterglow evolution when the blast wave has decelerated to mildly or non-relativistic velocities and has roughly isotropized. We infer beaming-independent kinetic energies using the Sedov-Taylor self-similar solution, and find a median value for the sample of detected bursts of about 7 x 10{sup 51} erg, with a 90% confidence range of 1.1 x 10{sup 50}-3.3 x 10{sup 53} erg. Both the median and 90% confidence range are somewhat larger than the results of multi-wavelength, multi-epoch afterglow modeling (including large beaming corrections), and the distribution of beaming-corrected {gamma}-ray energies. This is due to bursts in our sample with only a single-frequency observation for which we can only determine an upper bound on the peak of the synchrotron spectrum. This limitation leads to a wider range of allowed energies than for bursts with a well-measured spectral peak. Our study indicates that single-epoch centimeter-band observations covering the spectral peak on a timescale of {delta}t {approx} 1 yr can provide a robust estimate of the total kinetic energy distribution with a small investment of telescope time. The substantial increase in bandwidth of the Expanded Very Large Array (up to 8 GHz simultaneously with full coverage at 1-40 GHz) will provide the opportunity to estimate the kinetic energy distribution of GRBs with only a few hours of data per burst.

Shivvers, I.; Berger, E. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)

2011-06-10T23:59:59.000Z

299

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

SciTech Connect

This report addresses the results of detailed monitoring completed under Program Element 6 of Lawrence Berkeley National Laboratory's High Performance Commercial Building Systems (HPCBS) PIER program. The purpose of the Energy Simulations and Projected State-Wide Energy Savings project is to develop reasonable energy performance and cost models for high performance relocatable classrooms (RCs) across California climates. A key objective of the energy monitoring was to validate DOE2 simulations for comparison to initial DOE2 performance projections. The validated DOE2 model was then used to develop statewide savings projections by modeling base case and high performance RC operation in the 16 California climate zones. The primary objective of this phase of work was to utilize detailed field monitoring data to modify DOE2 inputs and generate performance projections based on a validated simulation model. Additional objectives include the following: (1) Obtain comparative performance data on base case and high performance HVAC systems to determine how they are operated, how they perform, and how the occupants respond to the advanced systems. This was accomplished by installing both HVAC systems side-by-side (i.e., one per module of a standard two module, 24 ft by 40 ft RC) on the study RCs and switching HVAC operating modes on a weekly basis. (2) Develop projected statewide energy and demand impacts based on the validated DOE2 model. (3) Develop cost effectiveness projections for the high performance HVAC system in the 16 California climate zones.

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

2003-12-01T23:59:59.000Z

300

A Self-Gravitational Upper Bound on Localized Energy, Including that of Virtual Particles and Quantum Fields, which Yields a Passable "Dark Energy" Density Estimate  

E-Print Network (OSTI)

The self-gravitational correction to a localized spherically symmetric static energy distribution is obtained from an upgraded Newtonian model which is energetically self-consistent, and is also obtained from the Birkhoff-theorem extension of the unique "Newtonian" form of the free-space Schwarzschild metric into the interior region of its self-gravitationally corrected source. The two approaches yield identical results, which include a strict prohibition on the gravitational redshift factor ever being other than finite, real and positive. Consequently, the self-gravitationally corrected energy within a sphere of radius r is bounded by r times the "Planck force", namely the fourth power of c divided by G. Even in the absence of spherical symmetry, the same bound, to within a factor of two, is shown to apply. That energy bound rules out any physical singularity at the Schwarzschild radius, and it also cuts off the mass deviation of any interacting quantum virtual particle at the Planck mass. Because quantum uncertainty makes the minimum energy of a quantum field infinite, such a field's self-gravitationally corrected energy essentially attains the Planck force times that field's boundary radius r. Roughly estimating r as c times the age of the universe yields a "dark energy" density of 1.7 joules per cubic kilometer. But if r is put to the Planck length appropriate to the birth of the universe, that energy density changes to the enormous Planck unit value, which could quite conceivably drive primordial "inflation". The density of "dark energy" decreases as the universe expands, but more slowly than the density of ordinary matter decreases. Its evolution suggests "dark energy" has inhomogeneities, which may be "dark matter".

Steven Kenneth Kauffmann

2012-11-18T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

VTrack: accurate, energy-aware road traffic delay estimation using mobile phones  

Science Conference Proceedings (OSTI)

Traffic delays and congestion are a major source of inefficiency, wasted fuel, and commuter frustration. Measuring and localizing these delays, and routing users around them, is an important step towards reducing the time people spend stuck in traffic. ... Keywords: GPS, car, congestion, energy, localization, location, mobile, phone, sensor, traffic, transportation

Arvind Thiagarajan; Lenin Ravindranath; Katrina LaCurts; Samuel Madden; Hari Balakrishnan; Sivan Toledo; Jakob Eriksson

2009-11-01T23:59:59.000Z

302

Energy estimator for weather forecasts dynamic power management of wireless sensor networks  

Science Conference Proceedings (OSTI)

Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external ... Keywords: design tools, dynamic power management, weather forecasts, wireless sensor networks

Nicolas Ferry; Sylvain Ducloyer; Nathalie Julien; Dominique Jutel

2011-09-01T23:59:59.000Z

303

Wind Energy Resource Estimation of the Upper Atmosphere over Southern Africa  

Science Conference Proceedings (OSTI)

On the basis of daily ECMWF data over the period 1982?89, the mean seasonal and mean annual wind energy resource fields on the isobaric surfaces 1000, 850, 700, 500, 300, 200, and 100 hPa, within the latitude?longitudinal zone 0?50S and 0?45E,...

Fedor F. Bryukhan; Roseanne D. Diab

1995-11-01T23:59:59.000Z

304

Energy values and estimation of power generation potentials of some non-woody biomass species  

Science Conference Proceedings (OSTI)

In view of high energy potentials in non-woody biomass species and an increasing interest in their utilization for power generation, an attempt has been made in this study to assess the proximate analysis and energy content of different components of Ocimum canum and Tridax procumbens biomass species (both non-woody), and their impact on power generation and land requirement for energy plantations. The net energy content in Ocimum canum was found to be slightly higher than that in Tridax procumbens. In spite of having higher ash contents, the barks from both the plant species exhibited higher calorific values. The results have shown that approximately 650 and 1,270 hectares of land are required to generate 20,000 kWh/day electricity from Ocimum canum and Tridax procumbens biomass species. Coal samples, obtained from six different local mines, were also examined for their qualities, and the results were compared with those of studied biomass materials. This comparison reveals much higher power output with negligible emission of suspended particulate matters (SPM) from biomass materials.

Kumar, M.; Patel, S.K. [National Institute of Technology, Rourkela (India)

2008-07-01T23:59:59.000Z

305

Estimation and Mapping of Hurricane Turbulent Energy Using Airborne Doppler Measurements  

Science Conference Proceedings (OSTI)

Hurricane turbulent kinetic energy (TKE) was computed using airborne Doppler measurements from the NOAA WP-3D tail radars, and TKE data were retrieved for a variety of storms at different stages of their life cycle. The geometry of the radar ...

Sylvie Lorsolo; Jun A. Zhang; Frank Marks Jr.; John Gamache

2010-09-01T23:59:59.000Z

306

Virtual sensors for estimation of energy consumption and thermal comfort in buildings with underfloor heating  

Science Conference Proceedings (OSTI)

Evaluating a building's performance usually requires a high number of sensors especially if individual rooms are analyzed. This paper introduces a simple and scalable model-based virtual sensor that allows analysis of a buildings' heat consumption down ... Keywords: Building performance analysis, Energy efficiency, Hybrid HVAC systems, Virtual sensors

Joern Ploennigs; Ammar Ahmed; Burkhard Hensel; Paul Stack; Karsten Menzel

2011-10-01T23:59:59.000Z

307

Radionuclide Emission Estimation for the Center for Advanced Energy Studies (CAES)  

Science Conference Proceedings (OSTI)

An Radiological Safety Analysis Computer Program (RSAC)-7 model dose assessment was performed to evaluate maximum Center for Advanced Energy Studies (CAES) boundary effective dose equivalent (EDE, in mrem/yr) for potential individual releases of radionuclides from the facility. The CAES is a public/private partnership between the State of Idaho and its academic research institutions, the federal government through the U.S. Department of Energy (DOE), and the Idaho National Laboratory (INL) managed by the Battelle Energy Alliance (BEA). CAES serves to advance energy security for our nation by expanding educational opportunities at Idaho universities in energy-related areas, creating new capabilities within its member institutions, and delivering technological innovations leading to technology-based economic development for the intermountain region. CAES has developed a strategic plan (INL/EXT-07-12950) based on the balanced scorecard approach. At the present time it is unknown exactly what processes will be used in the facility in support of this strategic plan. What is known is that the Idaho State University (ISU) Radioactive Materials License (Nuclear Regulatory Commission [NRC] license 11-27380-01) is the basis for handling radioactive material in the facility. The material in this license is shared between the ISU campus and the CAES facility. There currently are no agreements in place to limit the amount of radioactive material at the CAES facility or what is done to the material in the facility. The scope of this analysis is a summary look at the basis dose for each radionuclide included under the license at a distance of 100, 500, and 1,000 m. Inhalation, ingestion and ground surface dose was evaluated using the NRC design basis guidelines. The results can be used to determine a sum of the fractions approach to facility safety. This sum of the fractions allows a facility threshold value (TV) to be established and potential activities to be evaluated against this TV.

Bradley J Schrader

2010-02-01T23:59:59.000Z

308

Wavelets, Self-organizing Maps and Artificial Neural Nets for Predicting Energy Use and Estimating Uncertainties in Energy Savings in Commercial Buildings  

E-Print Network (OSTI)

This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of the daily weather profiles. The resulting few significant wavelet coefficients represent not only average but also variation of the weather components. A SOM is used for clustering and projecting high-dimensional data into usually a one or two dimensional map to reveal the data structure which is not clear by visual inspection. In this study, neighborhoods that contain days with similar meteorological conditions are classified by a SOM using significant wavelet coefficients; a baseline model is then developed for each neighborhood. In each neighborhood, modeling is more robust without unnecessary compromises that occur in global predictor regression models. This method was applied to the Energy Predictor Shootout II dataset and compared with the winning entries for hourly energy use predictions. A comparison between the "neighborhood" based linear regression model and the change-point model for daily energy use prediction was also performed. We also studied the application of the non-parametric nearest neighborhood points approach in determining the uncertainty of energy use prediction. The uncertainty from "local" system behavior rather than from global statistical indices such as root mean square error and other measures is shown to be more realistic and credible than the statistical approaches currently used. In general, a baseline model developed by local system behavior is more reliable than a global baseline model. The "neighborhood" based neural network model was found to predict building baseline energy use more accurately and achieve more reliable estimation of energy savings as well as the associated uncertainties in energy savings from building retrofits.

Lei, Yafeng

2009-08-01T23:59:59.000Z

309

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

SciTech Connect

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

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

2005-11-01T23:59:59.000Z

310

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed an automated technique for wind resource mapping to aid in the acceleration of wind energy deployment. The new automated mapping system was developed with the following two primary goals: (1) to produce a more consistent and detailed analysis of the wind resource for a variety of physiographic settings, particularly in areas of complex terrain; and (2) to generate high quality map products on a timely basis. Using computer mapping techniques reduces the time it takes to produce a wind map that reflects a consistent analysis of the distribution of the wind resource throughout the region of interest. NREL's mapping system uses commercially available geographic information system software packages. Regional wind resource maps using this new system have been produced for areas of the United States, Mexico, Chile, Indonesia (1), and China. Countrywide wind resource assessments are under way for the Philippines, the Dominican Re public, and Mongolia. Regional assessments in Argentina and Russia are scheduled to begin soon.

Schwartz, M.

1999-04-07T23:59:59.000Z

311

Technique for the experimental estimation of nonlinear energy transfer in fully developed turbulence  

Science Conference Proceedings (OSTI)

A new procedure for calculating the nonlinear energy transfer and linear growth/damping rate of fully developed turbulence is derived. It avoids the unphysically large damping rates typically obtained using the predecessor method of Ritz [Ch. P. Ritz, E. J. Powers, and R. D. Bengtson, Phys. Fluids B {bold 1}, 153 (1989)]. It enforces stationarity of the turbulence to reduce the effects of noise and fluctuations not described by the basic governing equation, and includes the fourth-order moment to avoid the closure approximation. The new procedure has been implemented and tested on simulated, fully developed two-dimensional (2-D) turbulence data from a 2-D trapped-particle fluid code, and has been shown to give excellent reconstructions of the input growth rate and nonlinear coupling coefficients with good noise rejection. However, in the experimentally important case where only a one-dimensional (1-D) averaged representation of the underlying 2-D turbulence is available, this technique does not, in general, give acceptable results. A new 1-D algorithm has thus been developed for analysis of 1-D measurements of intrinsically 2-D turbulence. This new 1-D algorithm includes the nonresonant wave numbers in calculating the bispectra, and generally gives useful results when the width of the radial wave number spectrum is comparable to or less than that of the poloidal spectrum. {copyright} {ital 1996 American Institute of Physics.}

Kim, J.S.; Durst, R.D.; Fonck, R.J. [Department of Nuclear Engineering and Engineering Physics, University of Wisconsin, Madison, Wisconsin 53706 (United States)] [Department of Nuclear Engineering and Engineering Physics, University of Wisconsin, Madison, Wisconsin 53706 (United States); Fernandez, E.; Ware, A.; Terry, P.W. [Department of Physics, University of Wisconsin, Madison, Wisconsin 53706 (United States)] [Department of Physics, University of Wisconsin, Madison, Wisconsin 53706 (United States)

1996-11-01T23:59:59.000Z

312

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

E-Print Network (OSTI)

This report presents estimates of the energy cost savings to be achieved from 2009 International Energy Conservation Code (IECC) code-compliant, single-family residences in Texas compared to the pre-2009 IECC codes, including: the 2001 IECC, the 2006 IECC, and the 2006 IECC w/ Houston amendments (w/ HA). A series of simulations were performed using an ESL simulation model (BDL version 4.01.07 of IC3) based on the DOE-2.1e simulation and the appropriate TMY2 weather files for three counties representing three 2009 IECC Climate Zones across Texas: Harris County for Climate Zone 2, Tarrant County for Climate Zone 3, and Potter County for Climate Zone 4. Two options based on the choice of heating fuel type were considered: (a) an electric/gas house (gas-fired furnace for space heating, and gas water heater for domestic water heating), and (b) a heat pump house (heat pump for space heating, and electric water heater for domestic water heating). The base-case building was assumed to be a 2,325 sq. ft., square-shape, one story, single-family, detached house with a floor-to-ceiling height of 8 feet. The house has an attic with a roof pitched at 23 degrees. The base-case building envelope and system characteristics were determined from the general characteristics and the climate-specific characteristics as specified in the 2001 IECC, the 2006 IECC, the 2006 IECC w/HA, and the 2009 IECC. In addition, to facilitate a better comparison with the 2009 code, several modifications were applied to the pre-2009 IECC codes. As a result, the estimated annual energy cost savings per house associated with the 2009 IECC compared to the 2001 and 2006 IECC are: (a) an electric/gas house: $462/year and $206/year for Harris County, $432/year and $216/year for Tarrant County, and $576/year and $153/year for Potter County and (b) a heat pump house: $490/year and $203/year for Harris County, $487/year and $226/year for Tarrant County, and $680/year and $155/year for Potter County. The corresponding % savings of total energy cost of a 2009 IECC code-compliant house are: (a) an electric/gas house: 22.7% and 10.1% for Harris County, 21.8% and 10.9% for Tarrant County, and 28.9% and 7.7% for Potter County and (b) a heat pump house: 21.6% and 8.9% for Harris County, 20.9% and 9.7% for Tarrant County, and 25.7% and 5.8% for Potter County.

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

2011-01-01T23:59:59.000Z

313

Development and Application of a Procedure to Estimate Overall Building and Ventilation Parameters from Monitored Commercial Building Energy Use  

E-Print Network (OSTI)

This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building are available. The validation has been performed using such data generated from a detailed building simulation program for different building geometries and building mass levels in two different climatic locations. Such a synthetic evaluation will validate the model used as well as determine the best parameter identification scheme, i.e., one likely to yield the most accurate set of parameter estimates. A multistep identification scheme has been found to yield very accurate results, and a more careful evaluation has been performed in order to evaluate its accuracy and stability with synthetic data against the effects of solar energy, HVAC system operation, internal load schedule, building thermal mass and geometry, and climatic location. This method is also evaluated using data from different time periods and when utility bill data (i.e. monthly data) only is available. The model is then applied to energy use data from two buildings being monitored under the Texas LoanSTAR Program, which are in different locations and have different HVAC systems. With parameters thus determined, two energy use indices, Energy Delivery Efficiency (EDE) and Multizone Efficiency Index (MEI), are calculated to present some insights into the benefits of retrofit from a constant volume (CV) to a variable air volume (VAV) system and of continuous commissioning (CC) work done to these two buildings, respectively. Uses and limitations of EDE and MEI are also discussed. Based on these findings, it is suggested that the multistep regression approach is an accurate and practical building physical parameter determination method, and the combined use of the EDE and MEI indices calculated from these parameters can provide insights into the HVAC system, and the potential for optimizing its operation.

Deng, Song

1997-05-01T23:59:59.000Z

314

Development and application of a procedure to estimate overall building and ventilation parameters from monitored commercial building energy use  

E-Print Network (OSTI)

This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building are available. The validation has been performed using such data generated from a detailed building simulation program for different building geometries and building mass levels in two different climatic locations. Such a synthetic evaluation will validate the model used as well as determine the best parameter identification scheme, i.e., one likely to yield the most accurate set of parameter estimates. A multistep identification scheme has been found to yield very accurate results, and a more careful evaluation has been performed in order to evaluate its accuracy and stability with synthetic data against the effects of solar energy, HVAC system operation, internal load schedule, building then-thermal mass and geometry, and climatic location. This method is also evaluated using data from different time periods and when utility bill data (i.e. monthly data) only is available. The model is then applied to energy use data from two buildings being monitored under the Texas LoanSTAR Program, which are in different locations and have different HVAC systems. With parameters thus determined, two energy use indices, Energy Delivery Efficiency (EDE) and Multizone Efficiency Index (MEI), are calculated to present some insights into the benefits of retrofit from a constant volume (CV) to a variable air volume (VAV) system and of continuous commissioning (CC) work done to these two buildings, respectively. Uses and limitations of EDE and MEI are also discussed. Based on these findings, it is suggested that the multistep regression approach is an accurate and practical building physical parameter determination method, and the combined use of the EDE and MEI indices calculated from these parameters can provide insights into the HVAC system, and the potential for optimizing its operation.

Deng, Song Jiu

1997-01-01T23:59:59.000Z

315

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

E-Print Network (OSTI)

for an Energy Efficient Economy, Washington, DC. August.Washington DC: American Council for an Energy EfficientDivision, ENERGY STAR Program. Washington, DC. June. ICF

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

316

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

Cool Earth - Innovative Energy Technology Plan," (14) AgencySuper-Long-Term Energy Technology Roadmap (Super-Long-TermTechnology Strategy Map (Energy Technology Strategy 2007),"

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

317

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

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.ICF Consulting. 2003. Energy Star Market Penetration Report

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

318

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

E-Print Network (OSTI)

on future energy efficiency policy and market environment (on the energy efficiency policy and market environment overon future energy efficiency policy and market environment (

Messenger, Mike

2010-01-01T23:59:59.000Z

319

Contract No. DE-AC36-99-GO10337Geothermal The Energy Under Our Feet Geothermal Resource Estimates for the  

E-Print Network (OSTI)

The Earth houses a vast energy supply in the form of geothermal resources. Domestic resources are equivalent to a 30,000-year energy supply at our current rate for the United States! In fact, geothermal energy is used in all 50 U.S. states today. But geothermal energy has not reached its full potential as a clean, secure energy alternative because of issues with resources, technology, historically low natural gas prices, and public policies. These issues affect the economic competitiveness of geothermal energy On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource

United States; Bruce D. Green; R. Gerald Nix; United States; Bruce D. Green; R. Gerald Nix

2006-01-01T23:59:59.000Z

320

Assessment of the Global Monthly Mean Surface Insolation Estimated from Satellite Measurements Using Global Energy Balance Archive Data  

Science Conference Proceedings (OSTI)

Global datasets of surface radiation budget (SRB) have been obtained from satellite programs. These satellite-based estimates need validation with ground-truth observations. This study validates the estimates of monthly mean surface insolation ...

Zhanqing Li; Charles H. Whitlock; Thomas P. Charlock

1995-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

322

Under Review for Publication in ASME J. Solar Energy Engineering SOL-12-1058 Life Estimation of Pressurized-Air Solar-Thermal Receiver Tubes  

E-Print Network (OSTI)

Under Review for Publication in ASME J. Solar Energy Engineering SOL-12-1058 Life Estimation of Pressurized-Air Solar-Thermal Receiver Tubes David K. Fork 1 e-mail: fork@google.com John Fitch e-mail: fitch.ziaei@gmail.com Robert I. Jetter e-mail: bjetter@sbcglobal.net The operational conditions of the solar thermal receiver

Cortes, Corinna

323

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

the share of non-fossil energy sources in total primaryF Y 2050. As a result, non-fossil energy sources (nuclear,the reference scenario, non-fossil energy sources' share of

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

324

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

E-Print Network (OSTI)

of Ratepayer-Funded Energy Efficiency in the U.S. , LBNL-October. Consortium for Energy Efficiency 2009. 2008 AnnualThe 2008 State Energy Efficiency Scorecard. American

Messenger, Mike

2010-01-01T23:59:59.000Z

325

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

E-Print Network (OSTI)

are calculated as the total US ENERGY STAR unit sales in anythe success of both US and international energy efficiencyby the U.S. Department of Energy (US DOE) and the U.S.

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

326

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

be expected to reduce energy consumption by about 15% (=(69-sectors expanded energy consumption on a lull in Fig. 4-1factors behind energy consumption, we have paid attention to

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

327

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

renewable energy sources (excluding hydro and geothermal)C O ; Hydro and 4 Po geothermal energies I Nuclear Gas I OilNuclear Hydro/geothermal Renewables Primary energy supply

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

328

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

Generation Roadmap toward 2030 (PV2030)," 2004 (16) NEDO, "new nuclear plants by 2030, as assumed for the referencegradually in or after 2030. These systems are estimated to

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

329

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

Science Conference Proceedings (OSTI)

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

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

2011-11-01T23:59:59.000Z

330

FastFit - A Users Guide: Estimation of Uncertain Process Parameters and Generation of Forward Price Curves for Energy Markets  

Science Conference Proceedings (OSTI)

Valuation of electric power assets and contracts requires both forward prices (for electricity and fuels) and their associated levels of uncertainty. FastFit is a software package for estimating the underlying process parameters that characterize the uncertainty in terms of a three-factor, mean reverting stochastic process. FastFit then uses those parameters to develop or extend forward price forecasts for fuels and electricity. Employing Kalman Filtering (KF) and maximum likelihood estimation (MLE) tech...

2003-12-10T23:59:59.000Z

331

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

E-Print Network (OSTI)

energy performance including new technologies and market trends,the ENERGY STAR brand; BAU technology trends and/or marketenergy performance of individual product types, continuing to aggressively target new product technologies and consumer usage/market trends

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

332

Chapter 12, Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chapter 12: Survey Design and Chapter 12: Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings Robert Baumgartner, Tetra Tech Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 12 - 1 Chapter 12 - Table of Contents 1 Introduction ............................................................................................................................ 2 2 The Total Survey Error Framework ....................................................................................... 4 2.1 TSE Framework for Evaluating Survey and Data Quality .............................................. 4 2.2 Sampling Errors ............................................................................................................... 5

333

PRISM 2.0: Estimating Energy Substitution Parameters for the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) Model  

Science Conference Proceedings (OSTI)

Under the PRISM 2.0 Project, the Electric Power Research Institute (EPRI) developed the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) model that can assess the impact of various climate, energy, and environmental policies on the electric power sector, the energy system, and the overall U.S. economy. This model represents energy efficiency potential through elasticities of substitution between energy and capital. EPRI has contracted with M. K. Jaccard and Associates Inc. to determine ...

2013-09-30T23:59:59.000Z

334

Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels  

SciTech Connect

This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

Wang, M.Q.

1996-03-01T23:59:59.000Z

335

Industrial Demand Module (IDM) - 2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

The Industrial Demand Module incorporates three components: buildings; process and assembly; and boiler, steam, and cogeneration. Last Model Update:

336

PKU-IDM @ TRECVid 2011 CBCD: Content-Based Copy ...  

Science Conference Proceedings (OSTI)

... 30, No. 4, pp. 712-727. [5] J. Sivic, and A. Zisserman, Video Google: A Text Retrieval Approach to Object Matching in Videos, IEEE ICCV'03, pp. ...

2013-07-23T23:59:59.000Z

337

Estimates of deep drainage rates at the U.S. Department of Energy Pantex Plant, Amarillo, Texas  

Science Conference Proceedings (OSTI)

In FY 1996, the Pacific Northwest National Laboratory (PNNL) provided technical assistance to Battelle Columbus Operations (BCO) in their ongoing assessment of contaminant migration at the Pantex Plant in Amarillo, Texas. The objective of this report is to calculate deep drainage rates at the Pantex Plant. These deep drainage rates may eventually be used to predict contaminant loading to the underlying unconfined aquifer for the Pantex Plant Baseline Risk Assessment. These rates will also be used to support analyses of remedial activities involving surface alterations or the subsurface injection withdrawal of liquids or gases. The scope of this report is to estimate deep drainage rates for the major surface features at the Pantex Plant, including ditches and playas, natural grassland, dryland crop rotation, unvegetated soil, and graveled surfaces. Areas such as Pantex Lake that are outside the main plant boundaries were not included in the analysis. All estimates were derived using existing data or best estimates; no new data were collected. The modeling framework used to estimate the rates is described to enable future correlations, improvements, and enhancements. The scope of this report includes only data gathered during FY 1996. However, a current review of the data gathered on weather, soil, plants, and other information in the time period since did not reveal anything that would significantly alter the results presented in this report.

Fayer, M.J.; Richmond, M.C.; Wigmosta, M.S. [Pacific Northwest National Lab., Richland, WA (United States); Kelley, M.E. [Battelle Environmental Restoration Dept., Columbus, OH (United States)

1998-04-01T23:59:59.000Z

338

VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050  

NLE Websites -- All DOE Office Websites (Extended Search)

ESD/04-1 ESD/04-1 VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050 Center for Transportation Research Argonne National Laboratory Operated by The University of Chicago, under Contract W-31-109-Eng-38, for the United States Department of Energy Argonne National Laboratory, a U.S. Department of Energy Office of Science laboratory, is operated by The University of Chicago under contract W-31-109-Eng-38. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor The University of Chicago, nor any of their employees or officers, makes any warranty, express or implied, or assumes

339

Cooling load estimation methods  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

McFarland, R.D.

1984-01-01T23:59:59.000Z

340

Impact of the Vertical Resolution of Analysis Data on the Estimates of Large-Scale Inertio-Gravity Energy  

Science Conference Proceedings (OSTI)

This paper deals with the large-scale inertio-gravity (IG) wave energy in the operational ECMWF analyses in July 2007. Energy percentages of the IG waves obtained from the standard-pressure-level data are compared to those derived from various ...

Nedjeljka agar; Koji Terasaki; Hiroshi L. Tanaka

2012-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

SciTech Connect

In this analysis, the authors projected Japan's energy demand/supply and energy-related CO{sub 2} emissions to 2050. Their analysis of various scenarios indicated that Japan's CO{sub 2} emissions in 2050 could be potentially reduced by 26-58% from the current level (FY 2005). These results suggest that Japan could set a CO{sub 2} emission reduction target for 2050 at between 30% and 60%. In order to reduce CO{sub 2} emissions by 60% in 2050 from the present level, Japan will have to strongly promote energy conservation at the same pace as an annual rate of 1.9% after the oil crises (to cut primary energy demand per GDP (TPES/GDP) in 2050 by 60% from 2005) and expand the share of non-fossil energy sources in total primary energy supply in 2050 to 50% (to reduce CO{sub 2} emissions per primary energy demand (CO{sub 2}/TPES) in 2050 by 40% from 2005). Concerning power generation mix in 2050, nuclear power will account for 60%, solar and other renewable energy sources for 20%, hydro power for 10% and fossil-fired generation for 10%, indicating substantial shift away from fossil fuel in electric power supply. Among the mitigation measures in the case of reducing CO{sub 2} emissions by 60% in 2050, energy conservation will make the greatest contribution to the emission reduction, being followed by solar power, nuclear power and other renewable energy sources. In order to realize this massive CO{sub 2} abatement, however, Japan will have to overcome technological and economic challenges including the large-scale deployment of nuclear power and renewable technologies.

Komiyama, Ryoichi; Marnay, Chris; Stadler, Michael; Lai, Judy; Borgeson, Sam; Coffey, Brian; Azevedo, Ines Lima

2009-09-01T23:59:59.000Z

342

VISION Model : description of model used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.  

DOE Green Energy (OSTI)

The VISION model has been developed by the U.S. Department of Energy (DOE) to provide estimates of the potential energy use, oil use, and carbon emission impacts to 2050 of advanced light- and heavy-duty highway vehicle technologies and alternative fuels. DOE supports research of advanced transportation technologies (including fuels) and is frequently asked to provide estimates of the potential impacts of successful market penetration of these technologies, sometimes on a relatively quick-turnaround basis. VISION is a spreadsheet model in Microsoft Excel that can be used to respond rapidly to quick-turnaround requests, as well as for longer-term analyses. It uses vehicle survival and age-dependent usage characteristics to project total light and heavy vehicle stock, total vehicle miles of travel (VMT), and total energy use by technology and fuel type by year, given market penetration and vehicle energy efficiency assumptions developed exogenously. Total carbon emissions for on-highway vehicles by year are also estimated because life-cycle carbon coefficients for various fuels are included in VISION. VISION is not a substitute for the transportation component of the Energy Information Administration's (EIA's) National Energy Modeling System (NEMS). NEMS incorporates a consumer choice model to project market penetration of advanced vehicles and alternative fuels. The projections are made within the context of the entire U.S. economy. However, the NEMS model is difficult to use on a quick-turnaround basis and only makes projections to 2025. VISION complements NEMS with its relative ''user-friendliness'' and by extending the time frame of potential analysis. VISION has been used for a wide variety of purposes. For illustration, we have listed some of its most recent and current uses in Table 1.1. Figures 1.1-1.3 illustrate the results of some of those runs. These graphs are not actual model output, but they are based on model results. The main body of this report describes VISION's methodology and data sources. The methodology and data sources used in the light- and heavy-vehicle portions of the model are discussed separately. Some suggestions for future improvements to the model are made. Appendix A provides instructions on how to run the VISION model. Appendix B describes the procedure for updating the model with the latest EIA Annual Energy Outlook (AEO).

Singh, M.; Vyas, A.; Steiner, E.

2004-02-19T23:59:59.000Z

343

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

energy sources for 20%, hydro power for 10% and fossil-firedetc. Wind power Solar Geothermal ^ Hydro O LO CO CT> Chydro and geothermal) are assumed to expand their share of electric utilities' power

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

344

Uncertainties of Estimates of InertiaGravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems  

Science Conference Proceedings (OSTI)

This paper presents the application of the normal-mode functions to diagnose the atmospheric energy spectra in terms of balanced and inertiagravity (IG) contributions. A set of three-dimensional orthogonal normal modes is applied to four ...

N. agar; J. Tribbia; J. L. Anderson; K. Raeder

2009-11-01T23:59:59.000Z

345

Quantitative Estimates on the Binding Energy for Hydrogen in Non-Relativistic QED. II. The spin case  

E-Print Network (OSTI)

The hydrogen binding energy in the Pauli-Fierz model with the spin Zeeman term is determined up to the order alpha cube, where alpha denotes the fine-structure constant.

Jean-Marie Barbaroux; Semjon Vugalter

2013-06-19T23:59:59.000Z

346

Estimation of the electron density and radiative energy losses in a calcium plasma source based on an electron cyclotron resonance discharge  

SciTech Connect

The parameters of a calcium plasma source based on an electron cyclotron resonance (ECR) discharge were calculated. The analysis was performed as applied to an ion cyclotron resonance system designed for separation of calcium isotopes. The plasma electrons in the source were heated by gyrotron microwave radiation in the zone of the inhomogeneous magnetic field. It was assumed that, in such a combined trap, the energy of the extraordinary microwave propagating from the high-field side was initially transferred to a small group of resonance electrons. As a result, two electron components with different transverse temperatures-the hot resonance component and the cold nonresonance component-were created in the plasma. The longitudinal temperatures of both components were assumed to be equal. The entire discharge space was divided into a narrow ECR zone, where resonance electrons acquired transverse energy, and the region of the discharge itself, where the gas was ionized. The transverse energy of resonance electrons was calculated by solving the equations for electron motion in an inhomogeneous magnetic field. Using the law of energy conservation and the balance condition for the number of hot electrons entering the discharge zone and cooled due to ionization and elastic collisions, the density of hot electrons was estimated and the dependence of the longitudinal temperature T{sub e Parallel-To} of the main (cold) electron component on the energy fraction {beta} lost for radiation was obtained.

Potanin, E. P., E-mail: potanin@imp.kiae.ru; Ustinov, A. L. [National Research Centre Kurchatov Institute (Russian Federation)

2013-06-15T23:59:59.000Z

347

Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II: Validation  

Science Conference Proceedings (OSTI)

Top-of-atmosphere (TOA) radiative fluxes from the Clouds and the Earth's Radiant Energy System (CERES) are estimated from empirical angular distribution models (ADMs) that convert instantaneous radiance measurements to TOA fluxes. This paper ...

Norman G. Loeb; Konstantin Loukachine; Natividad Manalo-Smith; Bruce A. Wielicki; David F. Young

2003-12-01T23:59:59.000Z

348

Energy Estimation Tools for the PalmTM Todd L. Cignetti, Kirill Komarov, and Carla Schlatter Ellis  

E-Print Network (OSTI)

of its devices by tracking device power states and transitions. The current PalmOS does not provide are made, and thereby keep track of device state transitions. These power states and energy transitions can. In order to be useful, the device state must account for the bit rate. When the power consumption falls

Ellis, Carla

349

Estimating the Annual Water and Energy Savings in Texas A & M University Cafeterias using Low Flow Pre-Rinse Spray Valves  

E-Print Network (OSTI)

Improving the efficiency of a Pre- Rinse Spray Valve (PRSV) is one of the most cost effective water conservation methods in the Food Services Industry. A significant contributor to this cost efficiency is the reduction in the energy costs required to provide the mandatory hot water. This research paper estimates the potential quantity and dollar value of the water and energy that can be saved annually in Texas A&M University's dining services with the installation of low flow pre-rinse spray valves. The data collection was obtained from four of Texas A&M University's Dining Services facilities. The annual savings were estimated by contrasting the water consumption of the existing T & S Brass B 0107-M PRSVs with the latest and most advanced available low flow T and S Brass B 0107-C PRSV. The annual water consumption of the existing and new PRSVs were predicted by measuring an individual average flow rate for each and observing the number of hours per day the PRSV would be used. The observed and measured values were extrapolated to amount rates to determine cost savings. The dollar value was ascertained using the utility cost data recorded over a semester by the Facilities Coordinator of the Department of Dining Services. The findings of this study show that the water savings from a single PRSV could lead to an estimated annual saving ranging between 46% and 78% of the current operation cost. The T & S Brass B 0107-C PRSV is currently priced between $52- $60 per valve resulting in a payback period ranging between 1.5-6 months per valve. If every valve on campus was replaced, the University could reap a savings in the range of $ 5,400- $22,590 over the 5 year useful life of the valve, having initially invested less than $550.

Rebello, Harsh Varun

2010-05-01T23:59:59.000Z

350

Heat-pump desuperheaters for supplying domestic hot water - estimation of energy savings and economic viability for residential applications  

SciTech Connect

The heat reclaimer is a double-wall heat exchange system that removes superheat from the heat pump (or central air conditioning) cycle and uses it to heat water for domestic uses. During summer operation, this heat would normally be rejected to the atmosphere without being used. Thus, water heating is accomplished using essentially no primary fuel. In winter, the heat extracted from the cycle would have been used for space heating. However, energy savings are possible above the heat pump balance point because water heating is performed at an enhanced efficiency. Potential energy savings and economic viability of the heat reclaimer were determined for 28 sites throughout the United States. These results indicate that the heat reclaimer is not economically attractive compared with gas- or oil-fired water heating systems. However, it is competitive with electric resistance water heaters. Based on these results, a calculational scheme has been developed that could be integrated into the model audit procedure.

Olszewski, M.; Fontana, E.C.

1983-05-01T23:59:59.000Z

351

Estimation of resources and reserves  

E-Print Network (OSTI)

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

352

Offshore Wind Turbines - Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine: Environmental Effects of Offshore Wind Energy Development  

SciTech Connect

Deep C Wind, a consortium headed by the University of Maine will test the first U.S. offshore wind platforms in 2012. In advance of final siting and permitting of the test turbines off Monhegan Island, residents of the island off Maine require reassurance that the noise levels from the test turbines will not disturb them. Pacific Northwest National Laboratory, at the request of the University of Maine, and with the support of the U.S. Department of Energy Wind Program, modeled the acoustic output of the planned test turbines.

Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

2010-11-23T23:59:59.000Z

353

Estimating Emissions of Other Greenhouse Gases  

U.S. Energy Information Administration (EIA)

Estimating Emissions of Other Greenhouse Gases Presentation to the Department of Energy Republic of the Philippines September 17, 1997 Arthur Rypinski Energy ...

354

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network (OSTI)

commercial). National Energy Consumption Estimates We usedsection entitled National Energy Consumption Estimates).section entitled National Energy Consumption Estimates).

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

355

Estimating Flexoelectric Properties of Piezoelectric Crystals  

Science Conference Proceedings (OSTI)

Energy Harvesting Utilized Resonance Phenomena of Piezoelectric Unimorph Estimating Flexoelectric Properties of Piezoelectric Crystals: Utilization of a...

356

An external peer review of the U.S. Department of Energy`s assessment of ``damages and benefits of the fuel cycles: Estimation methods, impacts, and values``. Final report  

DOE Green Energy (OSTI)

The need for better assessments of the ``external`` benefits and costs of environmental effects of various fuel cycles was identified during the development of the National Energy Strategy. The growing importance of this issue was emphasized by US Department of Energy (DOE) management because over half of the states were already pursuing some form of social costing in electricity regulation and a well-established technical basis for such decisions was lacking. This issue was identified as a major area of controversy--both scientifically and politically--in developing energy policies at the state and national level. In 1989, the DOE`s Office of Domestic and International Energy Policy commissioned a study of the external environmental damages and benefits of the major fuel cycles involved in electric power generation. Over the next 3-year period, Oak Ridge National Laboratory and Resources for the Future conducted the study and produced a series of documents (fuel cycle documents) evaluating the costs of environmental damages of the coal, oil, natural gas, biomass, hydroelectric, and nuclear fuel cycles, as well as the Background Document on methodological issues. These documents described work that took almost 3 years and $2.5 million to complete and whose implications could be far reaching. In 1992, the Secretary of Energy sought advice on the overall concepts underlying the studies and the means employed to estimate environmental externalities. He asked the Secretary of Energy`s Advisory Board to undertake a peer review of the fuel cycle studies and encouraged the Board to turn to outside expertise, as needed.

Not Available

1993-08-09T23:59:59.000Z

357

How the Carbon Emissions Were Estimated  

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

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

358

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

We estimate the cost of wind energy and compare it withMW installed worldwide. 6 Wind energy costs in India areof levelized cost were estimated (See Figure 7: Wind Energy

Phadke, Amol

2012-01-01T23:59:59.000Z

359

Home Energy Saver  

NLE Websites -- All DOE Office Websites (Extended Search)

(HES) Licensing Information The Home Energy Saver is a web-based residential energy calculator and web service that provides customized estimates of residential energy use, energy...

360

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)

comparing the national final energy consumption E(y) of theNational Operating Cost (NOC) is the total (site) energy consumption (Energy Consumption 14 Market Share Weighting . 14 Appliance Group Data . 15 Lifetime Assumptions .. 30 National

Letschert, Virginie E.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Improving the Carbon Dioxide Emission Estimates from the Combustion...  

NLE Websites -- All DOE Office Websites (Extended Search)

Improving the Carbon Dioxide Emission Estimates from the Combustion of Fossil Fuels in California and Spatial Disaggregated Estimate of Energy-related Carbon Dioxide for California...

362

Hydrogen Production Cost Estimate Using Biomass Gasification...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov...

363

Estimating solar irradiance using a geostationary satellite  

E-Print Network (OSTI)

207. Web References WR1. California Energy Commision (CEC)UNIVERSITY OF CALIFORNIA, SAN DIEGO Estimating SolarChair University of California, San Diego iii DEDICATION

Urquhart, Bryan Glenn

2011-01-01T23:59:59.000Z

364

A Method for Estimating the Turbulent Kinetic Energy Dissipation Rate from a Vertically Pointing Doppler Lidar, and Independent Evaluation from Balloon-Borne In Situ Measurements  

Science Conference Proceedings (OSTI)

A method of estimating dissipation rates from a vertically pointing Doppler lidar with high temporal and spatial resolution has been evaluated by comparison with independent measurements derived from a balloon-borne sonic anemometer. This method ...

Ewan J. OConnor; Anthony J. Illingworth; Ian M. Brooks; Christopher D. Westbrook; Robin J. Hogan; Fay Davies; Barbara J. Brooks

2010-10-01T23:59:59.000Z

365

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)

Energy Initiative Life-cycle Cost Analysis Canada and Mexico baseline energy consumption. Canadas and Mexicos marketsMexico minimum efficiency performance standard million tons (of CO 2 ) national equipment cost National Electric Manufacturers Association national energy

Letschert, Virginie E.

2013-01-01T23:59:59.000Z

366

Development of Geologic Storage Estimates for Carbon Dioxide  

NLE Websites -- All DOE Office Websites (Extended Search)

Storage Estimates for Carbon Dioxide Prepared for U.S. Department of Energy National Energy Technology Laboratory Carbon Storage Program September 2010 Summary of the...

367

Talking Points from ACEEE Report U072: Estimating Peak Demand Impacts of Energy Efficiency Programs: A National Review of Practices and Experience  

E-Print Network (OSTI)

1. Demand-side management is a proven way to affect customer energy use a. Over 2 decades of experience with programs b. Two broad program categories: i. Energy efficiency programs primarily seek to reduce customer energy use (kilowatthours--kWh) on a permanent basis through the installation of energy-efficient technologies. ii. Load management generally focuses on either curtailing or shifting demand (kilowatts--kW) away from high cost, peak demand periods. Demand-response programs are really a type of load management---more market-based c. Over 2 decades of program evaluation experience, too. d. Are new drivers for peak demand reduction: reliability; volatile markets and high costs of new generation, transmission and distribution; reducing negative environmental impacts. 2. Peak load management and energy efficiency a. Are clearly overlaps, but peak demand impacts of energy efficiency programs have generally not been program priorities---which, in turn, has affected evaluation approaches and

unknown authors

2007-01-01T23:59:59.000Z

368

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network (OSTI)

) & assume steam generation efficiency Subtract estimated electricity use for printing (when no pulp & paper energy use data available) Calculate the ratio of estimated energy use & BAT-based best case 256 #12 distortions, regulation and plant systems optimisation Future technologies focus on black liquor gasification

369

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)

G. , 2002. A life-cycle cost analysis for setting energyM. , Nicholas Bojda, 2012b. Cost Effectiveness of High-31 Summary of Cost Effective

Letschert, Virginie E.

2013-01-01T23:59:59.000Z

370

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)

Electric Motors Industry Total Considering carbon emissions (Tables 33 and 34) on top of energy savings (Electric Motors Industry Residential Total A few key results: Water heating is the end use from which the most savingsElectric Motors Industry Total AUS EU RUS ZAF USA In the CEP scenario, because the focus is on maximizing energy savings,

Letschert, Virginie E.

2013-01-01T23:59:59.000Z

371

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

SciTech Connect

In this analysis, the authors projected Japan's energy demand/supply and energy-related CO{sub 2} emissions to 2050. Their analysis of various scenarios indicated that Japan's CO{sub 2} emissions in 2050 could be potentially reduced by 26-58% from the current level (FY 2005). These results suggest that Japan could set a CO{sub 2} emission reduction target for 2050 at between 30% and 60%. In order to reduce CO{sub 2} emissions by 60% in 2050 from the present level, Japan will have to strongly promote energy conservation at the same pace as an annual rate of 1.9% after the oil crises (to cut primary energy demand per GDP (TPES/GDP) in 2050 by 60% from 2005) and expand the share of non-fossil energy sources in total primary energy supply in 2050 to 50% (to reduce CO{sub 2} emissions per primary energy demand (CO{sub 2}/TPES) in 2050 by 40% from 2005). Concerning power generation mix in 2050, nuclear power will account for 60%, solar and other renewable energy sources for 20%, hydro power for 10% and fossil-fired generation for 10%, indicating substantial shift away from fossil fuel in electric power supply. Among the mitigation measures in the case of reducing CO{sub 2} emissions by 60% in 2050, energy conservation will make the greatest contribution to the emission reduction, being followed by solar power, nuclear power and other renewable energy sources. In order to realize this massive CO{sub 2} abatement, however, Japan will have to overcome technological and economic challenges including the large-scale deployment of nuclear power and renewable technologies.

Komiyama, Ryoichi; Marnay, Chris; Stadler, Michael; Lai, Judy; Borgeson, Sam; Coffey, Brian; Azevedo, Ines Lima

2009-09-01T23:59:59.000Z

372

Italian Association of Energy EconomistsYardstick Regulation of Electricity Distribution Utilities Based on the Estimation of an Average Cost Function *  

E-Print Network (OSTI)

In this paper we estimate an average-cost function for a panel of 45 Swiss electricity distribution utilities as a basis for yardstick regulation of the distribution-network access prices. Unlike the existing literature, we separate the electricity sales function of utilities from the network operation function. Several exogenous variables measuring the heterogeneity of the service areas were included in the model specification in order to allow the regulator to set differentiated benchmark prices incorporating this heterogeneity. We can identify different exogenous service area characteristics that affect average cost. These are the load factor, the customer density and the output density of different consumer groups. Moreover, the estimation results indicate the existence of significant economies of scale; i.e. most of the Swiss utilities in our sample are too small to reach minimum efficient scale. However, to give the small utilities incentives to merge the size of the utilities must not be included in the yardstick calculation. 1.

Massimo Filippini; Jrg Wild; Massimo Filippini; Jrg Wild

1999-01-01T23:59:59.000Z

373

Energy  

Site Map; Printable Version; Share this resource. Send a link to Full Size Image - Energy Innovation Portalto someone by E-mail; Share Full Size Image - Energy ...

374

Estimating Land Surface Energy Budgets From Space: Review and Current Efforts at the University of WisconsinMadison and USDAARS  

Science Conference Proceedings (OSTI)

Since the advent of the meteorological satellite, a large research effort within the community of earth scientists has been directed at assessing the components of the land surface energy balance from space. The development of these techniques ...

George R. Diak; John R. Mecikalski; Martha C. Anderson; John M. Norman; William P. Kustas; Ryan D. Torn; Rebecca L. DeWolf

2004-01-01T23:59:59.000Z

375

A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire U.S. building stock  

E-Print Network (OSTI)

the estimated national energy consumption for residentialand cooling energy consumption of the national building

Huang, Yu Joe; Brodrick, Jim

2000-01-01T23:59:59.000Z

376

Radiation dose estimates for radiopharmaceuticals  

SciTech Connect

Tables of radiation dose estimates based on the Cristy-Eckerman adult male phantom are provided for a number of radiopharmaceuticals commonly used in nuclear medicine. Radiation dose estimates are listed for all major source organs, and several other organs of interest. The dose estimates were calculated using the MIRD Technique as implemented in the MIRDOSE3 computer code, developed by the Oak Ridge Institute for Science and Education, Radiation Internal Dose Information Center. In this code, residence times for source organs are used with decay data from the MIRD Radionuclide Data and Decay Schemes to produce estimates of radiation dose to organs of standardized phantoms representing individuals of different ages. The adult male phantom of the Cristy-Eckerman phantom series is different from the MIRD 5, or Reference Man phantom in several aspects, the most important of which is the difference in the masses and absorbed fractions for the active (red) marrow. The absorbed fractions for flow energy photons striking the marrow are also different. Other minor differences exist, but are not likely to significantly affect dose estimates calculated with the two phantoms. Assumptions which support each of the dose estimates appears at the bottom of the table of estimates for a given radiopharmaceutical. In most cases, the model kinetics or organ residence times are explicitly given. The results presented here can easily be extended to include other radiopharmaceuticals or phantoms.

Stabin, M.G.; Stubbs, J.B.; Toohey, R.E. [Oak Ridge Inst. of Science and Education, TN (United States). Radiation Internal Dose Information Center

1996-04-01T23:59:59.000Z

377

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3.3 Consumer Price Estimates for Energy by Source, 1970 PDF XLS GRAPH: 3.4 Consumer Price Estimates for Energy by End-Use Sector, 1970 PDF XLS ...

378

Estimates of US biofuels consumption, 1990  

DOE Green Energy (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

379

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. ...

Gal Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

380

Building Energy Software Tools Directory: Energy Profiler  

NLE Websites -- All DOE Office Websites (Extended Search)

can view and edit load shapes graphically, manage a database of energy rates, perform rate comparisons and generate estimated bills under a variety of scenarios. Energy Profiler...

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Arnold Schwarzenegger REFINING ESTIMATES OF WATER-  

E-Print Network (OSTI)

of magnitude of waterrelated energy use do not consider energy that is produced as a byproduct of water supply decrease in a dry year. The amount of water delivered or hydropower produced depends on a number Arnold Schwarzenegger Governor REFINING ESTIMATES OF WATER- RELATED ENERGY USE IN CALIFORNIA

382

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Alternative Fuels. Includes hydropower, solar, wind, ... Energy Resources; 4.1 Technically Recoverable Crude Oil and Natural Gas Resource Estimates,

383

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

5.19 Landed Costs of Crude Oil Imports From Selected Countries, ... With Environmental Equipment, ... Alternatives for Estimating Energy Consumption: ...

384

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population...........................................................................................40 Comparison to dose estimates from global fallout

385

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network (OSTI)

planning, policies, and programs, wind energy can be a coreof Wind Integration in the Tamil Nadu Grid. Energy PolicyEnergy Technologies Division Reassessing Wind Potential Estimates for India: Economic and Policy

Phadke, Amol

2012-01-01T23:59:59.000Z

386

Energy  

Science Conference Proceedings (OSTI)

Energy. Summary: Key metrologies/systems: Scanning tunneling microscopy and one- and two-photon photoemission/Model ...

2012-10-02T23:59:59.000Z

387

Energy  

Home. Site Map; Printable Version; Share this resource. About; Search; Categories (15) Advanced Materials; Biomass and Biofuels; Building Energy Efficiency ...

388

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1993-12-01T23:59:59.000Z

389

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

390

Base line estimation using sparse nonlinear operators  

Science Conference Proceedings (OSTI)

Efficient nonlinear operators for base line estimation of high energy physics detector signals are introduced. Due to the high processing rate requirements the operators are simplified using sparse input sequences. The operators are a sparse order statistic ... Keywords: base line estimation, filter training, order statistic filter

Sami J. Inkinen; Yrj Neuvo

2002-05-01T23:59:59.000Z

391

Financing Energy-Efficient Homes | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

heaters. | Chart credit ENERGY STAR Estimating the Cost and Energy Efficiency of a Solar Water Heater Financing Energy-Efficient Homes Tips: Passive Solar Heating and Cooling...

392

NREL: Department of Defense Energy Programs - Army Net Zero Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

with nine pilot projects to establish energy baselines, estimate energy efficiency and alternative energy potential, evaluate grid interconnection, and develop an implementation...

393

Energy  

Science Conference Proceedings (OSTI)

There has been a significant progress in converting solar energy using silicon technology to replace fossil fuels. However, its high cost of production has led...

394

Energy  

Efficient, Low-cost Microchannel Heat Exchanger. Return to Marketing Summary. Skip footer navigation to end of page. ... Energy Innovation Portal on Facebook;

395

Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Energy Energy Express Licensing Accelerator-Driven Transmutation Of Spent Fuel Elements Express Licensing Acid-catalyzed dehydrogenation of amine-boranes Express Licensing Air Breathing Direct Methanol Fuel Cell Express Licensing Aligned Crystalline Semiconducting Film On A Glass Substrate And Method Of Making Express Licensing Anion-Conducting Polymer, Composition, And Membrane Express Licensing Apparatus for Producing Voltage and Current Pulses Express Licensing Biaxially oriented film on flexible polymeric substrate Express Licensing Corrosion Test Cell For Bipolar Plates Express Licensing Device for hydrogen separation and method Negotiable Licensing Durable Fuel Cell Membrane Electrode Assembly (MEA) Express Licensing Energy Efficient Synthesis Of Boranes Express Licensing

396

Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

energy, including Fundamental advances in nuclear fuels Nonproliferation safeguards Reactor concepts Reactor waste disposition Animation of new reactor concept for deep space...

397

Estimated Cost Description Determination Date:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

398

National energy use of consumer electronics in 1999  

E-Print Network (OSTI)

comparison purposes. Estimating National Energy ConsumptionNational energy consumption values for all product typesestimates and national energy consumption estimates, by mode

Rosen, Karen; Meier, Alan; Zandelin, Stefan

2000-01-01T23:59:59.000Z

399

NATIONAL ENERGY TECHNOLOGY LABORATORY  

NLE Websites -- All DOE Office Websites (Extended Search)

NATIONAL ENERGY TECHNOLOGY LABORATORY In 2011, the Office of Fossil Energy evaluated the realized and estimated benefits provided by its programs. Implemented by NETL, these...

400

Selling Random Energy  

E-Print Network (OSTI)

costs among the LSEs will become untenable at levels of deep wind energyEnergy Information Ad- ministration estimates the levelized capital costs of onshore wind

Bitar, Eilyan Yamen

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

How EIA Estimates Natural Gas Production  

Reports and Publications (EIA)

The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing States and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The States and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

Information Center

2004-02-01T23:59:59.000Z

402

Mechanical estimating guidebook for building construction  

SciTech Connect

Rapid and reliable techniques for estimating the cost of materials and labor are offered in the fifth edition of this handbook. It contains work-hour task times and performance data for hundreds of jobs compiled over years to testing and analysis. New sections are devoted to solar heating, energy management, computer estimating, fire control and sprinkler systems, and estimating life-cycle costs. Like its predecessors, the book also covers criteria for estimating, mechanical cooling and heating equipment, piping, ductwork, insulation, electrical wiring, and foundations and supports. Air distribution, tools and special equipment, tanks, pumps, instrumentation and controls, excavating and trenching, heat and air recovery, and antipollution filtration are also discussed.

Gladstone, J.

1987-01-01T23:59:59.000Z

403

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

404

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

405

Estimating Costs and Efficiency of Storage, Demand, and Heat...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

more efficient system. When considering a water heater model for your home, estimate its energy efficiency and annual operating cost. Then, compare costs with other more andor...

406

UK GHG Emissions: Local and Regional Estimates for 2005 - 2008...  

Open Energy Info (EERE)

GHG Emissions: Local and Regional Estimates for 2005 - 2008 The UK Department of Energy and Climate Change (DECC) published National Statistics on greenhouse gas (GHG) emissions in...

407

Estimate of Cost-Effective Potential for Minimum Efficiency Performanc...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

408

Updated Capital Cost Estimates for Electricity Generation Plants  

Reports and Publications (EIA)

This paper provides information on the cost of building new electricity power plants. These cost estimates are critical inputs in the development of energy projections and analyses.

Michael Leff

2010-11-18T23:59:59.000Z

409

Estimated Economic Impacts of Utility Scale Wind Power in Iowa  

NLE Websites -- All DOE Office Websites (Extended Search)

Estimated Economic Impacts of Utility Scale Wind Power in Iowa Sandra Halvatzis and David Keyser National Renewable Energy Laboratory Technical Report NRELTP-6A20-53187 November...

410

Energy  

Office of Legacy Management (LM)

..) ".. ..) ".. _,; ,' . ' , ,; Depar?.me.nt ,of.' Energy Washington; DC 20585 : . ' , - $$ o"\ ' ~' ,' DEC ?;$ ;y4,,, ~ ' .~ The Honorable John Kalwitz , 200 E. Wells Street Milwaukee, W~isconsin 53202, . . i :. Dear,Mayor 'Kalwitz: " . " Secretary of Energy Hazel' O'Leary has announceha new,approach 'to,openness in " the Department of Ene~rgy (DOE) and its communications with'the public. In -. support of~this initiative, we areipleased to forward the enclosed information related to the Milwaukee Ai.rport site in your jurisdiction that performed work, for DOE orits predecessor agencies. information; use, and retention. ., This information .is provided for your '/ ,' DOE's Formerly Utilized Sites Remedial:'Action~'Prog&is responsible for ,"'

411

PKU-IDM @ TRECVid 2010: Pair-Wise Event Detection in ...  

Science Conference Proceedings (OSTI)

... We proposed a selective eigenbackground method, which is a reformation of ... extracted raw features from the same video clips (ground truth event ...

2013-07-22T23:59:59.000Z

412

Methodology of Energy Intensities - Appendix A  

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

Glossary Appendix A Survey Design, Implementation, and Estimates Introduction The Energy Information Administration (EIA) designed the 1994 Manufacturing Energy Consumption...

413

Estimating Costs and Efficiency of Storage, Demand, and Heat...  

NLE Websites -- All DOE Office Websites (Extended Search)

| Chart credit ENERGY STAR Estimating the Cost and Energy Efficiency of a Solar Water Heater Diagram of a tankless water heater. Tankless or Demand-Type Water Heaters Water...

414

Estimating Corn Grain Yields  

E-Print Network (OSTI)

This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure.

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

415

State Energy Production Data  

Gasoline and Diesel Fuel Update (EIA)

State Energy Data System State Energy Data System Production Estimates Technical Notes For 1960-2011 Estimates Table of Contents Section 1. Introduction ................................................................................................................... 1 Section 2. Coal ............................................................................................................................... 5 Section 3. Crude Oil ....................................................................................................................... 7 Section 4. Natural Gas (Marketed Production) .............................................................................. 9 Section 5. Renewable Energy and Nuclear Energy ..................................................................... 13

416

Estimating frequency of change  

Science Conference Proceedings (OSTI)

Many online data sources are updated autonomously and independently. In this article, we make the case for estimating the change frequency of data to improve Web crawlers, Web caches and to help data mining. We first identify various scenarios, where ... Keywords: Change frequency estimation, Poisson process

Junghoo Cho; Hector Garcia-Molina

2003-08-01T23:59:59.000Z

417

Zero Energy Windows  

E-Print Network (OSTI)

total building energy consumption to national estimates ofon a national basis, while cooling energy consumption wouldEnergy Consumption and Savings in the United States. Berkeley, CA, Lawrence Berkeley National

Arasteh, Dariush; Selkowitz, Steve; Apte, Josh; LaFrance, Marc

2006-01-01T23:59:59.000Z

418

Adjusted Estimates of Texas Natural Gas Production  

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

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

419

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

estimates for other non-renewable-energy commodities, namelyfor other non-renewable, non-energy commodities. Although we

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

420

Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency  

E-Print Network (OSTI)

estimates for other non-renewable energy commodities, namelynatural gas and other non-renewable energy commodities is

Wiser, Ryan; Bolinger, Mark; St. Clair, Matthew

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

New Hampshire - U.S. Energy Information Administration (EIA) - U.S ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, ... Environment; Analysis; Energy Estimates (SEDS) ... Bureau of Ocean Energy Management

422

Measurement campaigns for holdup estimation  

SciTech Connect

The derivation of technically defensible holdup estimates is described. Considerations important in the planning of measurement campaigns to provide necessary data are reviewed and the role of statistical sampling is discussed. By design, the presentation is nonmathematical and intended for a general audience. Though clearly important, use of sampling principles in the planning of holdup-related activities is sometimes viewed with apprehension. Holdup is often poorly understood to begin with, and the incorporation of the esoteric matters only adds to an image problem. Unfortunately, there are no painless options. In many operating facilities, surface areas on which holdup has accumulated amount to many square miles. It is not practical to pursue 100% measurement of all such surface areas. Thus, some portion is measured - constituting a ''sample,'' whether obtained by a formal procedure or not. Understanding the principles behind sampling is important in planning and in developing legitimate holdup estimates. Although derivation of legitimate, facility-wide holdup estimates is not currently mandated by Department of Energy regulatory requirements, the related activities would greatly advance the present state of knowledge.

Picard, R.R. (Los Alamos National Lab., Los Alamos, NM (US))

1988-07-01T23:59:59.000Z

423

Federal Energy Management Program: Energy Savings Calculator...  

NLE Websites -- All DOE Office Websites (Extended Search)

Savings Calculator for Commercial Boilers (Closed Loop, Space Heating Applications Only) This cost calculator is a screening tool that estimates a product's lifetime energy cost...

424

Energy Efficient Laboratory Fume Hood - Energy Innovation ...  

Fume hoods, used to protect the user from breathing harmful chemical vapors, consume large amounts of energy, estimated to be 1GW in California alone. ...

425

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3.2 Value of Fossil Fuel Production, 1949 PDF XLS GRAPH: 3.3 Consumer Price Estimates for Energy by Source, 1970 PDF XLS GRAPH:

426

EIA Energy Efficiency-Commercial Buildings Sector Energy ...  

U.S. Energy Information Administration (EIA)

These tables provide estimates of commercial sector energy consumption and energy intensities for 1992, 1995, 1999 and 2003 based on the Commercial ...

427

Building Energy Software Tools Directory: EnergyActio  

NLE Websites -- All DOE Office Websites (Extended Search)

Audience Commercial building owners and managers, engineers and contractors. Input Electrical and gas energy bills and an estimate of energy consumption (watts or therms, and...

428

Consumption & Efficiency - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Annual state-level estimates of consumption for hydroelectric power, wind, geothermal, and solar energy. Annual Energy Outlook 2013.

429

All Consumption Tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a

430

Faster Phase Estimation  

E-Print Network (OSTI)

We develop several algorithms for performing quantum phase estimation based on basic measurements and classical post-processing. We present a pedagogical review of quantum phase estimation and simulate the algorithm to numerically determine its scaling in circuit depth and width. We show that the use of purely random measurements requires a number of measurements that is optimal up to constant factors, albeit at the cost of exponential classical post-processing; the method can also be used to improve classical signal processing. We then develop a quantum algorithm for phase estimation that yields an asymptotic improvement in runtime, coming within a factor of log* of the minimum number of measurements required while still requiring only minimal classical post-processing. The corresponding quantum circuit requires asymptotically lower depth and width (number of qubits) than quantum phase estimation.

Krysta M. Svore; Matthew B. Hastings; Michael Freedman

2013-04-02T23:59:59.000Z

431

Radiation Stress Estimators  

Science Conference Proceedings (OSTI)

The radiation stresses Sij associated with the propagation of wind-generated waves are principal driving forces for several important surf-zone processes. The accurate estimation of the onshore flux of longshore-directed mean momentum Syx, using ...

S. S. Pawka; D. L. Inman; R. T. Guza

1983-09-01T23:59:59.000Z

432

Impact of Large Scale Energy Efficiency Programs On Consumer Tariffs and Utility Finances in India  

E-Print Network (OSTI)

23 Estimation of the Cost of Energy Efficiencyfunded cost-effective energy efficiency (EE) programs inEstimationoftheCostofEnergyEfficiencyPrograms Main

Abhyankar, Nikit

2011-01-01T23:59:59.000Z

433

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Home; Browse by Tag; Most Popular Tags. ... Geology and technology drive estimates of technically recoverable resources.

434

Household Vehicles Energy Consumption 1991  

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

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

435

Manufacturing Consumption of Energy 1991  

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

B Survey Design, Implementation, and Estimates Introduction The 1991 Manufacturing Energy Consumption Survey (MECS) has been designed by the Energy Information Administration...

436

Energy Department Small Business Partner Success Stories | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Parks Initiative Clean Cities National Parks Initiative Energy Refits in Philadelphia Energy Refits in Philadelphia Estimated Rare Earth Reserves and Deposits Estimated Rare...

437

Solar | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The rebate amount is calculated as 0.40 times the estimated annual kilowatt-hour (kWh) savings (the Oregon Department of Energy provides the estimates for approved systems)....

438

Energy Matters LLC | Open Energy Information  

Open Energy Info (EERE)

Matters LLC Matters LLC Jump to: navigation, search Name Energy Matters LLC Place Santa Rosa, California Zip 95402 Sector Renewable Energy Product Energy Matters specialises in software tools for the renewable energy industries. References Energy Matters LLC[1] Solar-Estimate.org[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Energy Matters LLC is a company located in Santa Rosa, California . Solarestimate.gif Solar-Estimate.org Energy Matters created the solar estimator, a useful tool to analyze the benefits of a solar or wind system installation in your home or business. The estimator takes into account your region, average utility bills, and the system you are installing, and calculates a 25-year timeline for you to analyze the potential cost savings on energy.

439

Development of Geologic Storage Estimates for Carbon Dioxide  

NLE Websites -- All DOE Office Websites (Extended Search)

the Methodology for the Methodology for Development of Geologic Storage Estimates for Carbon Dioxide Prepared for U.S. Department of Energy National Energy Technology Laboratory Carbon Storage Program September 2010 Summary of the Methodology for Development of Geologic Storage Estimates for Carbon Dioxide 2 Authors: U.S. Department of Energy, National Energy Technology Laboratory/ Strategic Center for Coal/Office of Coal and Power R&D John Litynski U.S. Department of Energy, National Energy Technology Laboratory/ Strategic Center for Coal/Office of Coal and Power R&D/Sequestration Division Dawn Deel Traci Rodosta U. S. Department of Energy, National Energy Technology Laboratory/ Office of Research and Development George Guthrie U. S. Department of Energy, National Energy Technology Laboratory/

440

Distributed Robust Power System State Estimation  

E-Print Network (OSTI)

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Home Energy Yardstick : ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Home > Home Improvement > Home Energy Yardstick Home > Home Improvement > Home Energy Yardstick Home Energy Yardstick Assess the energy efficiency of your home and see how it measures up: EPA's Home Energy Yardstick provides a simple assessment of your home's annual energy use compared to similar homes. By answering a few basic questions about your home, you can get: Your home's Home Energy Yardstick score (on a scale of 1 to 10); Insights into how much of your home's energy use is related to heating and cooling versus other everyday uses like appliances, lighting, and hot water; Links to guidance from ENERGY STAR on how to increase your home's score, improve comfort, and lower utility bills; and An estimate of your home's annual carbon emissions. Learn more about how the Home Energy Yardstick works.

442

REQUESTS FOR RETIREMENT ESTIMATE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

443

Iterative phase estimation  

E-Print Network (OSTI)

We give an iterative algorithm for phase estimation of a parameter theta, which is within a logarithmic factor of the Heisenberg limit. Unlike other methods, we do not need any entanglement or an extra rotation gate which can perform arbitrary rotations with almost perfect accuracy: only a single copy of the unitary channel and basic measurements are needed. Simulations show that the algorithm is successful. We also look at iterative phase estimation when depolarizing noise is present. It is seen that the algorithm is still successful provided the number of iterative stages is below a certain threshold.

Caleb J O'Loan

2009-04-22T23:59:59.000Z

444

External Dose Estimates from  

E-Print Network (OSTI)

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure as the dependence on fallout time of arrival. The most exposed individuals were outdoor workers; the least exposed was about a factor of 20 less than that from "global fallout" from high- yield weapons tests carried out

445

External Dose Estimates from  

E-Print Network (OSTI)

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure from the fallout from all of these tests was about 0.7 mSv, about equivalent to 2-3 years of external radiation exposure from natural background. In contrast to the fallout from tests at the Nevada Test site

446

Renewable Energy Estimates of U.S. Wood Energy  

U.S. Energy Information Administration (EIA)

Btu by multiplying by the fossil-fuels heat ratesee Table A6. Commercial Sector, Wind 2009 forward: Commercial sector wind electricity net

447

NETL: News Release - DOE Estimates Future Freshwater Needs to Meet  

NLE Websites -- All DOE Office Websites (Extended Search)

5, 2006 5, 2006 DOE Estimates Future Freshwater Needs to Meet Thermoelectric Power Demand New Analysis Examines Regional Differences in Freshwater Needs, Provides Baseline for Measuring Research Progress WASHINGTON, DC - In support of an emerging energy-water research program, the U.S. Department of Energy's National Energy Technology Laboratory (NETL) has updated its groundbreaking 2004 study estimating future freshwater requirements for the U.S. thermoelectric generation sector. Bringing a much-needed regional focus, the new report, Estimating Freshwater Needs to Meet Future Thermoelectric Generation Requirements, identifies a dichotomy between national and local freshwater needs and pinpoints where critical water issues could develop. MORE INFO Read the report

448

EPA Revises Emissions Estimation Methodology  

U.S. Energy Information Administration (EIA)

The changes to the historical emission estimates are the result of revisions to the data and estimation ... b K.D . Smythe, RAND ... RAND Environmental Science and ...

449

International Energy Module  

Reports and Publications (EIA)

Summarizes the overall structure of the International Energy Model and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods.

Adrian Geagla

2012-11-05T23:59:59.000Z

450

International Energy Module  

Reports and Publications (EIA)

Summarizes the overall structure of the International Energy Model and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods.

Adrian Geagla

2013-10-22T23:59:59.000Z

451

Natural Gas Exports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natural gas imports.

452

Natural Gas Imports (Summary) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natural gas imports.

453

Natural Gas Exports (Summary) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natural gas imports.

454

Natural Gas Exports Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natura ...

455

Renewable Energy Technologies | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Renewable Energy Renewable Energy Technologies Renewable Energy Technologies Below are resources for Tribes on renewable energy technologies. Developing Clean Energy Projects on Tribal Lands: Data and Resources for Tribes Provides a summary of updated estimates of renewable energy potential on Indian lands, DOE Office of Indian Energy tools and resources, and helpful infromation about project development. Source: DOE Office of Indian Energy. Geospatial Analysis of Renewable Energy Technical Potential on Tribal Lands In-depth report on analysis completed by the DOE Office of Indian Energy and by DOE's National Renewable Energy Laboratory, which used geospatial methodology to update and substantiate the estimated renewable energy technical potential on tribal lands.This technical report uses an

456

Stochastic Jet Quenching in High Energy Nuclear Collisions  

E-Print Network (OSTI)

Energy losses of fast color particles in random inhomogeneous color medium created in high energy nuclear collisions are estimated.

Kirakosyan, M R

2008-01-01T23:59:59.000Z

457

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, ... Wind Geothermal ... Indiana. State Profile and Energy Estimates. Change State/Territory .

458

Glass manufacturing is an energy-intensive industry mainly ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... There is substantial potential for energy efficiency improvements in glass manufacturing. Estimates range from ...

459

New Hampshire - Search - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Consumption & Efficiency. Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... New Hampshire. State Profile and Energy Estimates.

460

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Consumption & Efficiency. Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... New Hampshire. State Profile and Energy Estimates.

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

International Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

System for the Analysis of Global Energy Markets (SAGE) System for the Analysis of Global Energy Markets (SAGE) The projections of world energy consumption appearing in IEO2006 are based on EIA's international energy modeling tool, SAGE. SAGE is an integrated set of regional models that provide a technology-rich basis for estimating regional energy consumption. For each region, reference case estimates of 42 end-use energy service demands (e.g., car, commercial truck, and heavy truck road travel; residential lighting; steam heat requirements in the paper industry) are developed on the basis of economic and demographic projections. Pro- jections of energy consumption to meet the energy demands are estimated on the basis of each region's existing energy use patterns, the existing stock of energy-using equipment, and the characteristics of available new technologies, as well as new sources of primary energy supply.

462

Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earths Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part I: Methodology  

Science Conference Proceedings (OSTI)

Clouds and the Earth's Radiant Energy System (CERES) investigates the critical role that clouds and aerosols play in modulating the radiative energy flow within the Earthatmosphere system. CERES builds upon the foundation laid by previous ...

Norman G. Loeb; Natividad Manalo-Smith; Seiji Kato; Walter F. Miller; Shashi K. Gupta; Patrick Minnis; Bruce A. Wielicki

2003-02-01T23:59:59.000Z

463

A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire U.S. building stock  

E-Print Network (OSTI)

quad. The estimates for total energy usage are within 12% ofthe total heating and cooling energy usages represented bythe total heating and cooling energy usages represented by

Huang, Yu Joe; Brodrick, Jim

2000-01-01T23:59:59.000Z

464

Guidelines for Estimating Unmetered Industrial Water Use  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

465

Guidelines for Estimating Unmetered Industrial Water Use  

NLE Websites -- All DOE Office Websites (Extended Search)

Guidelines for Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of Energy Federal Energy Management Program By Pacific Northwest National Laboratory Brian Boyd Revised September 2011 Source: Michael Kauffmann 2 Contacts Will Lintner Federal Energy Management Program 1000 Independence Ave., S.W. Washington, D.C. 20585-0121 Phone: (202) 586-3120 E-mail: William.Lintner@ee.doe.gov Brian Boyd Pacific Northwest National Laboratory 902 Battelle Boulevard Richland, WA 99352 Phone: (509) 371-6724 E-mail: Brian.Boyd@pnnl.gov 3 Acknowledgements This document was prepared by the Pacific Northwest National Laboratory (PNNL) on behalf of the Federal Energy Management Program. PNNL would like to thank the Federal Water Working Group of the Interagency Energy Management Task Force, which provided initial

466

NPP Estimation for Grasslands  

NLE Websites -- All DOE Office Websites (Extended Search)

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

467

Estimating Computational Noise?  

E-Print Network (OSTI)

partment of Energy, under Contract DE-AC02-06CH11357. ... supported by the Office of Advanced Scientific Computing Research, Office of Science, U.S. De-.

468

Operated device estimation framework  

E-Print Network (OSTI)

Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution systems. Operation of a protective device in response to a particular fault condition depends upon the protective devices operating behavior and coordination of various such protective devices. This thesis presents the design and implementation of a protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturers device details, power quality data measured from substation monitoring devices and power system event features estimated using existing DFA algorithms. The proposed technique can be used to evaluate coordination of these protective devices and helps in locating a fault in a distribution system feeder. This approach is independent of feeder topology and could be readily used for any distribution system. The effectiveness of this algorithm is verified by simulated and actual test data. Suggestions are included for future research and application by electric utilities.

Rengarajan, Janarthanan

2008-12-01T23:59:59.000Z

469

Oregon | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Trust for approval. Incentive levels are as follows: * 5.00 per kilowatt-hour (kWh) for systems with estimated annual energy output of 9,500 kWh or less July 12, 2013...

470

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

471

Estimating Open-Ocean Barotropic Tidal Dissipation: The Hawaiian Ridge  

Science Conference Proceedings (OSTI)

The generalized inverse of a regional model is used to estimate barotropic tidal dissipation along the Hawaiian Ridge. The model, based on the linear shallow-water equations, incorporates parameterizations for the dissipation of energy via ...

Edward D. Zaron; Gary D. Egbert

2006-06-01T23:59:59.000Z

472

Estimates of Meridional Atmosphere and Ocean Heat Transports  

Science Conference Proceedings (OSTI)

New estimates of the poleward energy transport based on atmospheric reanalyses from the National Centers for Environmental PredictionNational Center for Atmospheric Research (NCEPNCAR) and the European Centre for Medium-Range Weather Forecasts ...

Kevin E. Trenberth; Julie M. Caron

2001-08-01T23:59:59.000Z

473

Microsoft Word - Battery Life Estimator Rev 1 _final - 103012...  

NLE Websites -- All DOE Office Websites (Extended Search)

INL-EXT-08-15136 U.S. Department of Energy Vehicle Technologies Program Battery Calendar Life Estimator Manual Revision 1 Modeling and Simulation OCTOBER 2012 The Idaho National...

474

Energy and Cost Savings Calculators for Energy-Efficient Products  

Energy.gov (U.S. Department of Energy (DOE))

The energy and cost calculators below allow Federal agencies to enter their own input values (such as utility rates, hours of use) to estimate energy and cost savings for energy-efficient products....

475

International Energy Outlook 2007  

Gasoline and Diesel Fuel Update (EIA)

System for the Analysis of Global Energy Markets (SAGE) System for the Analysis of Global Energy Markets (SAGE) Projections of world energy consumption and supply in IEO2007 were generated using EIA's SAGE model. SAGE is used to project energy use in detail at the end- use sector level. It is an integrated set of regional models that provide a technology-rich basis for estimating regional energy consumption. For each region, reference case estimates of 42 end-use energy service demands (e.g., car, commercial truck, and heavy truck road travel; residential lighting; steam heat requirements in the paper industry) are developed on the basis of economic and demographic projections. Projections of energy con- sumption to meet the energy demands are estimated on the basis of each region's existing energy use patterns, the existing stock of energy-using equipment, and the characteristics of available new technologies, as well

476

Financial Impact of Energy Efficiency under a Federal Renewable Electricity Standard: Case Study of a Kansas "super-utility"  

E-Print Network (OSTI)

estimates for two alternative energy efficiency portfolios (and benefits of alternative energy efficiency portfoliosand benefits of alternative energy efficiency portfolios

Cappers, Peter

2010-01-01T23:59:59.000Z

477

Financial Impact of Energy Efficiency under a Federal Renewable Electricity Standard: Case Study of a Kansas "super-utility"  

E-Print Network (OSTI)

and benefits of alternative energy efficiency portfoliosrequirements, and alternative energy efficiency portfolios).estimates for two alternative energy efficiency portfolios (

Cappers, Peter

2010-01-01T23:59:59.000Z

478

Energy Blog | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

14, 2011 14, 2011 Ultra Energy Efficient Data Center Saves NREL $200,000 The National Renewable Energy Laboratory's (NREL) Data Center marks a significant accomplishment in its ultra-efficiency. November 14, 2011 LiveChat Wed, 11/16, 2 pm ET: Industrial Energy Efficiency On Wednesday, November 16, at 2:00 PM ET, join Kathleen Hogan, Deputy Assistant Secretary for Energy Efficiency, for a live discussion about the Energy Department programs how businesses are lowering their energy consumption, and how that energy savings benefits the American economy. November 14, 2011 Tennessee-based IAC Helps Manufacturer Become More Energy Efficient Thanks to help from the Tennessee 3-Star Industrial Assessment Center, the FUJIFILM Hunt Chemicals U.S.A facility in Dayton, TN is saving an estimated

479

Energy Star | Open Energy Information  

Open Energy Info (EERE)

Star Star Jump to: navigation, search Energystarlogo.jpg Contents 1 What's new 2 About ENERGY STAR 3 For the Home 4 For Business 5 History 6 References What's new On March 15, 2012, the EPA released a press release announcing 2012's ENERGY STAR award winners, and celebrating the 20 year anniversary of the award. Overall, the EPA estimates that American's have saved nearly $230 billion over two decades of the award. About ENERGY STAR ENERGY STAR is a joint program of the United States Environmental Protection Agency and the United States Department of Energy helping us all save money and protect the environment through energy efficient products and practices. Results are already adding up. Americans, with the help of ENERGY STAR, saved enough energy in 2009 alone to avoid greenhouse gas emissions

480

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network (OSTI)

predicted vs. actual energy usage/savings, and present thetools for estimating energy usage. These data bases provideft -yr in resource energy usage. These same office bUild~ngs

Wall, L.W.

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Buildings GHG Mitigation Estimator Worksheet, Version 1 | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Buildings GHG Mitigation Estimator Worksheet, Version 1 Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be

482

Estimation, Economic methodology  

E-Print Network (OSTI)

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and (iii) generalisation of the results. I show that there exist solutions for all these issues. Along the way, I clarify some confounding differences in terminology between the computer science and the economic literature.

Matteo Richiardi; Laboratorio Riccardo; Revelli Centre; Employment Studies; Im Indebted Francesco Devicienti; Roberto Leombruni; Bruno Contini For Their

2004-01-01T23:59:59.000Z

483

Eddy Dissipation Rates in Thunderstorms Estimated by Doppler Radar in Relation to Aircraft In Situ Measurements  

Science Conference Proceedings (OSTI)

High-resolution aircraft turbulence measurements, well coordinated with radar Doppler spectral width measurements, have been used to verify radar-estimated energy dissipation rates within thunderstorms anvils. The radar-estimated eddy dissipation ...

Peter Meischner; Robert Baumann; Hartmut Hller; Thomas Jank

2001-10-01T23:59:59.000Z

484

Performance of Mean-Frequency Estimators for Doppler Radar and Lidar  

Science Conference Proceedings (OSTI)

The performance of mean-frequency estimators for Doppler radar and lidar measurements of winds is presented in terms of two basic parameters: ?, the ratio of the average signal energy per estimate to the spectral noise level; and ?, which is ...

R. G. Frehlich; M. J. Yadlowsky

1994-10-01T23:59:59.000Z

485

Evaluation of Methods to Estimate the Surface Downwelling Longwave Flux during Arctic Winter  

Science Conference Proceedings (OSTI)

Surface longwave radiation fluxes dominate the energy budget of nighttime polar regions, yet little is known about the relative accuracy of existing satellite-based techniques to estimate this parameter. We compare eight methods to estimate the ...

Marc Chiacchio; Jennifer Francis; Paul Stackhouse Jr.

2002-03-01T23:59:59.000Z

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Process Equipment Cost Estimation, Final Report  

Office of Scientific and Technical Information (OSTI)

Process Equipment Cost Estimation Process Equipment Cost Estimation Final Report January 2002 H.P. Loh U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940, 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 and P.O. Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 and Jennifer Lyons and Charles W. White, III EG&G Technical Services, Inc. 3604 Collins Ferry Road, Suite 200 Morgantown, WV 26505 DOE/NETL-2002/1169 ii Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes