Powered by Deep Web Technologies
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.


1

State Energy Production Estimates  

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

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

2

Initial weights and dimensions of corrosion coupons installed in IDMS in August 1993  

SciTech Connect (OSTI)

New corrosion coupons were installed in the Feed Preparation System and the Melter/Off-Gas System of Integrated DWPF Melter System (IDMS) in August 1993. The new coupons are replacements for similar coupons which were in the IDMS since 1989 but were removed for metallurgical evaluation in April 1993. original coupons still remain on the corrosion racks in the Melter and the Off-Gas Stack. Baseline data for the replacement coupons are described in this report.

Imrick, K.

1993-10-04T23:59:59.000Z

3

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

LuÂ?trek, Mitja

4

Estimating Renewable Energy Costs  

Broader source: Energy.gov [DOE]

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

5

Estimating Renewable Energy Costs | Department of Energy  

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

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

6

State energy data report 1994: Consumption estimates  

SciTech Connect (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

7

Building Energy Software Tools Directory: Energy Estimation Software with  

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

8

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

9

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

10

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

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

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

This note is concerned with the calculation of wave energy from a time series record of wave heights. Various methods are used to estimate the wave energy. For wave records that contain a number of different ... ...

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

13

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

14

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

, as provided in the 2013 California Energy Efficiency Potential and Goals Study (2013 Potential Study 2013.1 The 2013 Potential Study estimated energy efficiency savings that could be realized through G. Brown Jr., Governor California Energy Commission DRAFT STAFF REPORT #12;CALIFORNIA ENERGY

15

State energy data report 1996: Consumption estimates  

SciTech Connect (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

16

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

17

Improved diagnostic model for estimating wind energy  

SciTech Connect (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

18

How to Estimate the Economic Impacts from Renewable Energy |...  

Energy Savers [EERE]

How to Estimate the Economic Impacts from Renewable Energy How to Estimate the Economic Impacts from Renewable Energy U.S. Department of Energy Technical Assistance Project (TAP)...

19

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

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

20

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

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

Anderlini, Lucio

2015-01-01T23:59:59.000Z

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.


21

Estimating pool energy requirements with a thermometer  

SciTech Connect (OSTI)

It is pointed out that there is a need for a simple method of estimating the energy required by a swimming pool. (This is the first step in determining the size of solar pool heaters for a specific application.) Previous methods for estimating pool energy requirements demand mathematical skills. The method proposed here requires only: (1) measurement of the average pool temperature; (2) an estimate of the pool volume; and (3) a knowledge of the desired temperature. Average temperature of the pool is measured using a weighted thermometer at different locations under various weather conditions. Step-by-step instructions complete with a table are provided. (MJJ)

Not Available

1980-04-01T23:59:59.000Z

22

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

23

Estimated United States Transportation Energy Use 2005  

SciTech Connect (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

24

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

E6. Transportation Sector Energy Price Estimates, 2012 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation...

25

Development of the Potential Energy Savings Estimation (PESE) Toolkit  

E-Print Network [OSTI]

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

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

26

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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.

27

Estimating the Potential Impact of Renewable Energy on the Caribbean  

E-Print Network [OSTI]

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

Kammen, Daniel M.

28

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

E-Print Network [OSTI]

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

Taylor, Margaret

2014-01-01T23:59:59.000Z

29

Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors  

E-Print Network [OSTI]

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

LuÂ?trek, Mitja

30

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

31

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Journals Connector (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

32

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

33

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

34

Numerical Wave Modeling and Wave Energy Estimation  

Science Journals Connector (OSTI)

In a rapidly evolving operational and research framework concerning the global energy resources, new frontiers have been set for ... the scientific community working on environmental and renewable energy issues. ...

G. Galanis; G. Zodiatis; D. Hayes…

2013-01-01T23:59:59.000Z

35

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

36

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

37

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

38

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.

39

Estimating climatological variability of solar energy production  

Science Journals Connector (OSTI)

Abstract A method is presented for estimating the climatological variability of yearly and monthly photovoltaic power production per 1 kWp of installed power. This quantity is computed for a specified portfolio of sources on the basis of historical data. Its climatological variability is derived from a simulation of 33 years of power production with hourly time step. Underlying meteorological variables are taken from the MERRA reanalysis for the years 1979–2011. Since the MERRA reanalysis is not a traditional data source for photovoltaic power modelling, various comparisons to available and more frequently used data sources are included. The method of estimation has the advantage of wide applicability due to the global coverage of the meteorological data.

Pavel Juruš; Kryštof Eben; Jaroslav Resler; Pavel Kr?; Ivan Kasanický; Emil Pelikán; Marek Brabec; Ji?í Hošek

2013-01-01T23:59:59.000Z

40

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.

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

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

42

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

43

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

44

Uncertainty estimation improves energy measurement and verification procedures  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

45

Uncertainty Estimation Improves Energy Measurement and Verification Procedures  

SciTech Connect (OSTI)

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

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

2014-05-14T23:59:59.000Z

46

Estimating the rebound effect in US manufacturing energy consumption  

Science Journals Connector (OSTI)

The energy price shocks of the 1970s are usually assumed to have increased the search for new energy saving technologies where eventual gains in energy efficiencies will reduce the real per unit price of energy services and hence, the consumption of energy will rise and partially offset the initial reduction in the usage of energy sources. This is the ‘rebound effect’, which is estimated for the US manufacturing sector using time series data applying the dynamic OLS method (DOLS). When allowing for asymmetric price effects the rebound effect is found to be approximately 24% for the US manufacturing sector.

Jan Bentzen

2004-01-01T23:59:59.000Z

47

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

48

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

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

49

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

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

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.

50

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

51

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

52

Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models  

E-Print Network [OSTI]

Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models of the inverters. Keywords-Photovoltaic energy conversion, Markov reliability models, utility-interactive inverters, energy yield estimation. I. INTRODUCTION Photovoltaic systems have gained prominence as economically

Liberzon, Daniel

53

Energy Savings Estimates and Cost Benefit Calculations for High Performance Relocatable Classrooms  

E-Print Network [OSTI]

1 Energy Savings Estimates and Cost Benefit Calculations for High Element 6, Project 2.1.2: Energy Savings Estimates and Cost Benefit Calculations for High Performance Hoeschele2 1 Environmental Energy Technologies Division Indoor Environment Department

54

Estimated United States Residential Energy Use in 2005  

SciTech Connect (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

55

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

SciTech Connect (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

56

Alternative energy estimation from the shower lateral distribution function  

E-Print Network [OSTI]

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

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

2005-09-16T23:59:59.000Z

57

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

Broader source: Energy.gov [DOE]

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

58

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

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

59

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

SciTech Connect (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}<7 R{sub 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

60

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

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

A Novel Harmony Search Algorithm for One-Year-Ahead Energy Demand Estimation Using Macroeconomic Variables  

Science Journals Connector (OSTI)

In this paper we tackle a problem of one-year ahead energy demand estimation from macroeconomic variables. A modified Harmony ... the proposed approach in a real problem of Energy demand estimation in Spain, from...

Sancho Salcedo-Sanz…

2014-01-01T23:59:59.000Z

62

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

E-Print Network [OSTI]

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

Mohanram, Kartik

63

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

64

4052 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 10, OCTOBER 2009 Energy Planning for Progressive Estimation in  

E-Print Network [OSTI]

--Decentralized estimation, distributed estima- tion, energy scheduling and planning, incremental estimation, multi4052 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 10, OCTOBER 2009 Energy Planning energy planning algorithm for progressive estimation in multihop sensor networks. Unlike many iterative

Hua, Yingbo

65

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

SciTech Connect (OSTI)

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

Diehl, R.; Powers, J.

1987-05-01T23:59:59.000Z

66

Impact of different macronutrient definitions and energy conversion factors on energy supply estimations  

Science Journals Connector (OSTI)

The magnitude of differences in energy supply using different definitions for carbohydrates and protein as well as different energy conversion factors was investigated. Food supply data for 1999–2001 from FAOSTAT were used for nine countries with different types of diets. Nutrient values were derived from USDA and the British food composition tables for three definitions of carbohydrate (total, available by difference, available as monosaccharide equivalents), three protein definitions (nitrogen (N)×Jones factors, N×6.25, sum of amino acids), fat, and two dietary fibre definitions (AOAC, non-starch polysaccharide). Then three sets of energy conversion factors were applied (Merrill & Watt, general Atwater with/without energy value for fibre, and gross energy—GE). Using the same nutrient definitions, differences between general and specific Atwater factors accounted for 50–320 kJ/capita/day (10–75 kcal/capita/day) and for 290–1500 kJ/capita/day (70–360 kcal/capita/day) between GE and metabolizable energy supply calculations. Protein definitions have a minor impact on per capita energy supply values. They generate differences of less than 1%, or 4–105 kJ (1–25 kcal), with N×6.25 values providing the highest values, followed by Jones factors and the sum of amino acids. The largest differences observed in per capita energy supply calculations are due to carbohydrate definitions. Differences of 3.5–8% or 330–780 kJ/capita/day (80–190 kcal/capita/day) are observed between total and available carbohydrates as monosaccharide equivalents within the general Atwater system. Differences in energy supply between total and available carbohydrates could be minimized by applying an energy factor of 8 kJ/g (2 kcal/g) for dietary fibre, resulting in a higher energy supply of 100–250 kJ/capita/day (25–60 kcal/capita/day) or 1–2%. Differences in energy supply are less influenced by the energy factors as such than by the nutrient definition used, especially for carbohydrates. Differences in energy supply of up to 780 kJ/capita/day (160 kcal/capita/day) or 8% may be statistically relevant and might change research results, estimates of the dietary energy supply and consequently the estimation of the prevalence of undernourishment which may affect nutrition program and policies. Global harmonization of macronutrient definitions and energy factors is important to achieve unambiguous and comparable macronutrient and energy values among countries.

U.R Charrondiere; S Chevassus-Agnes; S Marroni; B Burlingame

2004-01-01T23:59:59.000Z

67

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

E-Print Network [OSTI]

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

Sun, Jian

68

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

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

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

69

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

70

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

E-Print Network [OSTI]

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

Gummadi, Ramakrishna

71

Energy Planning for Progressive Estimation in Multihop Sensor Networks  

E-Print Network [OSTI]

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

Huang, Yi; Hua, Yingbo

2009-01-01T23:59:59.000Z

72

State Energy Profiles and Estimates (SEDS) Report Archives  

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

States - U.S. Energy Information Administration (EIA) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and...

73

Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications  

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

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

74

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

Open Energy Info (EERE)

newspdfPNNL-19112Revision1Final.pdf Equivalent URI: cleanenergysolutions.orgcontentsmart-grid-estimation-energy-and-carb Language: English Policies: "Deployment...

75

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

76

Estimating the Benefits and Costs of Distributed Energy Technologies Workshop- Day 2 Presentations  

Broader source: Energy.gov [DOE]

On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies.” Presentations from Day 2 are available here.

77

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

Broader source: Energy.gov [DOE]

On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies.” The agenda and summaries are available here.

78

On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks  

E-Print Network [OSTI]

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

Huang, Yi; Hua, Yingbo

2011-01-01T23:59:59.000Z

79

Estimating the Benefits and Costs of Distributed Energy Technologies Workshop- Day 1 Presentations  

Broader source: Energy.gov [DOE]

On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies.” Presentations from Day 1 are available here.

80

A tool to estimate materials and manufacturing energy for a product  

E-Print Network [OSTI]

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

Duque Ciceri, Natalia

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

Parameter estimation for energy balance models with memory  

Science Journals Connector (OSTI)

...model based on the energy balance of the Earth...climate dynamics. New York, NY: Springer...JA Coakley. 1981 Energy balance climate models...Climate sensitivity, energy balance models...Sciences, vol. 119. New York, NY: Springer...

2014-01-01T23:59:59.000Z

82

The Estimation of the Marine Main Diesel Engine Energy Balance  

Science Journals Connector (OSTI)

The basis of impact of energy device (marine main diesel engine) on its environment in terms of energy ... . Types of energy and exergy characterizing the marine main diesel engine are presented. The description ...

Z. Matuszak; G. Nicewicz

2014-01-01T23:59:59.000Z

83

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Office of Environmental Management (EM)

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

84

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

E-Print Network [OSTI]

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

Baica, Malvina

85

Eigen-Inference for Energy Estimation of Multiple Sources  

E-Print Network [OSTI]

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

86

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

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

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

87

Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises  

Science Journals Connector (OSTI)

Consider the problem of estimating an unknown parameter by a sensor network with a fusion center (FC). Sensor observations are corrupted by additive noises with an arbitrary spatial correlation. Due to bandwidth and energy limitation, each sensor is ... Keywords: decentralized estimation, energy efficiency, power control, wireless sensor networks

Alexey Krasnopeev; Jin-Jun Xiao; Zhi-Quan Luo

2005-09-01T23:59:59.000Z

88

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

E-Print Network [OSTI]

relation- ship between the energy in the semi-diurnal internal tide (E) and the depth of the ridge. This is roughly 15% of the energy estimated to be lost from the barotropic tide. 1. Introduction energy get removed from the ocean. Oceanic tides put energy into the ocean at a rate of 3.5 TW (Munk

Klymak, Jody M.

89

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

E-Print Network [OSTI]

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

Kurapov, Alexander

90

Estimation of input energy in rocket-triggered lightning Vinod Jayakumar,1  

E-Print Network [OSTI]

the input power and energy, each per unit channel length and as a function of time, associated with return- lightning first stroke, based on the conversion of measured optical energy to total energy using energy., 2002] and measured current, I(t), at the channel base to estimate the input power per unit length, P

Florida, University of

91

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

92

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

93

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

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

Sathaye, Jayant

2011-01-01T23:59:59.000Z

94

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

95

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

96

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

97

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

98

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

99

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 +

100

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

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 THE MEAN ENERGY OF MUONS IN MULTILAYER DETECTORS  

E-Print Network [OSTI]

The technique of muon mean energy determination in multilayer detectors is developed. The mean energy is measured by means of average small bursts $m$ i.e. the number of electrons and positrons generated by muons in the detecting layers of device via three basic processes --- creation of $e^+e^-$ pairs, $\\delta$-electrons and bremsestrahlung. The accuracy of the method is considered. Key words: muon energy, multilayer detectors.

T. T. BARNAVELI; Yu. G. VERBETSKY; I. V. KHALDEEVA; N. A. ERISTAVI

1995-05-30T23:59:59.000Z

102

Measuring Energy, Estimating Hamiltonians, and the Time-Energy Uncertainty Relation  

E-Print Network [OSTI]

Suppose that the Hamiltonian acting on a quantum system is unknown and one wants to determine what is the Hamiltonian. We show that in general this requires a time $\\Delta t$ which obeys the uncertainty relation $\\Delta t \\Delta H \\gtrsim 1$ where $\\Delta H$ is a measure of how accurately the unknown Hamiltonian must be estimated. We then apply this result to the problem of measuring the energy of an unknown quantum state. It has been previously shown that if the Hamiltonian is known, then the energy can in principle be measured in an arbitrarily short time. On the other hand we show that if the Hamiltonian is not known then an energy measurement necessarily takes a minimum time $\\Delta t$ which obeys the uncertainty relation $\\Delta t \\Delta E \\gtrsim 1$ where $\\Delta E$ is the precision of the energy measurement. Several examples are studied to address the question of whether it is possible to saturate these uncertainty relations. Their interpretation is discussed in detail.

Y. Aharonov; S. Massar; S. Popescu

2001-09-30T23:59:59.000Z

103

Arc Energy Estimations: Applications in Lightning-Induced Concrete Spall  

SciTech Connect (OSTI)

After lightning contacts a building, the possibility of a physical break in its conductive path to ground may exist. Given such a break, an electric field may develop across the gap until it exceeds the breakdown strength of the non-conducting, or dielectric, material. Breakdown subsequently occurs and energy is dissipated during the development of an arc channel. If the dielectric is concrete, a concern exists that the energy available for arc formation may be capable of launching pieces of spall into sensitive equipment. This paper discusses the mechanisms of energy dissipation in arc formation and quantifies the energy available for concrete spall.

Tully, L K; Ong, M M

2008-06-03T23:59:59.000Z

104

NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of  

E-Print Network [OSTI]

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

Oak Ridge National Laboratory

105

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

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

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

106

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

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

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

107

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

E-Print Network [OSTI]

An Observational Estimate of Inferred Ocean Energy Divergence KEVIN E. TRENBERTH AND JOHN T, in final form 25 September 2007) ABSTRACT Monthly net surface energy fluxes (FS) over the oceans are computed as residuals of the atmospheric energy budget using top-of-atmosphere (TOA) net radiation (RT

Fasullo, John

108

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

E-Print Network [OSTI]

between the energy in the semidiurnal internal tide (E) and the depth-integrated dissipation (D. This is roughly 15% of the energy estimated to be lost from the barotropic tide. 1. Introduction One of the more. Oceanic tides put energy into the ocean at a rate of 3.5 TW Corresponding author address: J. Klymak

Kurapov, Alexander

109

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

E-Print Network [OSTI]

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

110

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

111

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

E-Print Network [OSTI]

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

Rossi, Sabina

112

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

113

Free energy differences : Representations, estimators, and sampling strategies   

E-Print Network [OSTI]

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

Acharya, Arjun R

114

Turbulent kinetic energy balance as a tool for estimating vertical ...  

Science Journals Connector (OSTI)

Based on microstructure measurements in a simply shaped lake basin, the sources of ... Comparison with turbulent kinetic energy balances, performed in five other lakes, ...... pation (PB) is everywhere the same per unit area of sediment

1910-00-90T23:59:59.000Z

115

How to Estimate Energy Lost to Gravitational Waves (revised)  

E-Print Network [OSTI]

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

Adam D. Helfer

1993-07-19T23:59:59.000Z

116

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

117

Using an ADCP to estimate turbulent kinetic energy dissipation rate in sheltered coastal waters  

Science Journals Connector (OSTI)

Turbulent microstructure and acoustic Doppler current profiler (ADCP) data were collected near Tacoma Narrows in Puget Sound, WA. Over 100 coincident microstructure profiles have been compared to ADCP estimates of turbulent kinetic energy ...

A. D. Greene; P. J. Hendricks; M. C. Gregg

118

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

SciTech Connect (OSTI)

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

Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

2014-06-12T23:59:59.000Z

119

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

E-Print Network [OSTI]

of Vibration and Acoustics, 131 (4) 041005, 2009 Measurement of damping forces, such as dry frictionESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B@egr.msu.edu ABSTRACT A method of estimating damping parameters for multi- degree-of-freedom vibration systems

Feeny, Brian

120

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

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

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

Laura Riihimaki; Krista Gaustad; Sally McFarlane

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

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

122

ESTIMATING THE ''DARK'' ENERGY CONTENT OF THE SOLAR CORONA  

SciTech Connect (OSTI)

The discovery of ubiquitous low-frequency (3-5 mHz) Alfvenic waves in the solar chromosphere (with Hinode/Solar Optical Telescope) and corona (with CoMP and SDO) has provided some insight into the non-thermal energy content of the outer solar atmosphere. However, many questions remain about the true magnitude of the energy flux carried by these waves. Here we explore the apparent discrepancy in the resolved coronal Alfvenic wave amplitude ({approx}0.5 km s{sup -1}) measured by the Coronal Multi-channel Polarimeter (CoMP) compared to those of the Hinode and the Solar Dynamics Observatory (SDO) near the limb ({approx}20 km s{sup -1}). We use a blend of observational data and a simple forward model of Alfvenic wave propagation to resolve this discrepancy and determine the Alfvenic wave energy content of the corona. Our results indicate that enormous line-of-sight superposition within the coarse spatio-temporal sampling of CoMP hides the strong wave flux observed by Hinode and SDO and leads to the large non-thermal line broadening observed. While this scenario has been assumed in the past, our observations with CoMP of a strong correlation between the non-thermal line broadening with the low-amplitude, low-frequency Alfvenic waves observed in the corona provide the first direct evidence of a wave-related non-thermal line broadening. By reconciling the diverse measurements of Alfvenic waves, we establish large coronal non-thermal line widths as direct signatures of the hidden, or ''dark'', energy content in the corona and provide preliminary constraints on the energy content of the wave motions observed.

McIntosh, Scott W. [High Altitude Observatory, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307 (United States); De Pontieu, Bart, E-mail: mscott@ucar.edu [Lockheed Martin Solar and Astrophysics Lab, 3251 Hanover St., Org. A021S, Bldg. 252, Palo Alto, CA 94304 (United States)

2012-12-20T23:59:59.000Z

123

Methodology for estimating biomass energy potential and its application to Colombia  

Science Journals Connector (OSTI)

Abstract This paper presents a methodology to estimate the biomass energy potential and its associated uncertainty at a country level when quality and availability of data are limited. The current biomass energy potential in Colombia is assessed following the proposed methodology and results are compared to existing assessment studies. The proposed methodology is a bottom-up resource-focused approach with statistical analysis that uses a Monte Carlo algorithm to stochastically estimate the theoretical and the technical biomass energy potential. The paper also includes a proposed approach to quantify uncertainty combining a probabilistic propagation of uncertainty, a sensitivity analysis and a set of disaggregated sub-models to estimate reliability of predictions and reduce the associated uncertainty. Results predict a theoretical energy potential of 0.744 EJ and a technical potential of 0.059 EJ in 2010, which might account for 1.2% of the annual primary energy production (4.93 EJ).

Miguel Angel Gonzalez-Salazar; Mirko Morini; Michele Pinelli; Pier Ruggero Spina; Mauro Venturini; Matthias Finkenrath; Witold-Roger Poganietz

2014-01-01T23:59:59.000Z

124

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

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

125

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

E-Print Network [OSTI]

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

Peinke, Joachim

126

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

E-Print Network [OSTI]

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

Martin, Ralph R.

127

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

E-Print Network [OSTI]

Progress In Electromagnetics Research B, Vol. 12, 259­295, 2009 AN ESTIMATION OF SENSOR ENERGY University of Technology PO Box 218, Hawthorn, VIC 3122, Australia Abstract--A comprehensive energy model CONSUMP- TION M. N. Halgamuge, M. Zukerman, and K. Ramamohanarao ARC Special Research Center for Ultra

Halgamuge, Malka N.

128

A climatological estimate of incident solar energy in Tamaulipas, northeastern Mexico  

Science Journals Connector (OSTI)

Abstract An estimation of climatological fields of incident solar energy in Tamaulipas State, northeastern Mexico, is presented. Monthly mean evolution of solar energy in 7 automatic meteorological stations distributed along the State shows that the maximum values generally exceed 500 ± 200 W m?2 during fall-winter (Nov–Feb), and 700 ± 200 W m?2 during spring-summer (May–Aug). An empirical model, which estimates the solar energy as function of other climatic variables (minimum temperature, maximum temperature, evaporation, and precipitation) recorded in 165 climatological conventional stations, is used to extend the climatological solar-energy estimate in the study area. The mean values of both measured and estimated solar energy are objectively mapped to fill the observation gaps and reduce the noise associated with inhomogeneous statistics and estimation errors. The highest values of solar energy ( ? 6.7  kW h m?2 during the summer and ? 4.0  kW h m?2 during the winter) are observed in the highlands, southwestern part of the State, whereas the lowest values ( ? 5.7  kW h m?2 during the summer and ? 2.8  kW h m?2 during the winter) are observed in the south-central part of the State.

David Rivas; Salomón Saleme-Vila; Rogelio Ortega-Izaguirre; Fabio Chalé-Lara; Felipe Caballero-Briones

2013-01-01T23:59:59.000Z

129

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

E-Print Network [OSTI]

THE D.O.E. SLIDE RULE: ESTIMATING TOOL AN ENERGY CONSEF.VATION FOR HOMEBUILDERS STEVEN WINTER President Steven Winter Associates, Inc. New York, NY ADRIAN TULUCA . senior Associate Energy Group Steven Winter Associates, Inc. New York... for sale with R-19 insulation in the ceiling. After identifying potential homebuyer options to increase the ceiling insulation level (such as using R-22, R-30, or R-38 instead of R-19), a quick estimate is made of the energy savings that will result...

Winter, S.; Tuluca, A.

1984-01-01T23:59:59.000Z

130

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

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

131

Estimation of annual energy output from a tidal barrage using two different methods  

Science Journals Connector (OSTI)

In recent years, there have been growing international challenges relating to climate change and global warming, with a conflict developing between the need to create a low-carbon economy and rapid depleting reserves of fossil fuels. In addition to these challenges there continues to be the added complexity of a significant global increase in energy demand. Marine renewable energy from tidal barrages is carbon-free and has the potential to make a significant contribution to energy supplies now and in the future. Therefore, it is appropriate to evaluate the total energy that can be extracted from such barrages. In this study two different methods are proposed to estimate the total annual energy output from a barrage, including a theoretical estimation based on the principle associated with tidal hydrodynamics, and a numerical estimation based on the solutions obtained from a 2D hydrodynamic model. The proposed Severn Barrage in the UK was taken as a case study, and these two methods were applied to estimate the potential annual energy output from the barrage. The predicted results obtained using the two methods indicate that the magnitude of the annual energy output would range from 13 to 16 TWh, which is similar to the value of 15.6 TWh reported by the Department of Energy and Climate Change, in the UK. Further investigations show that the total annual energy output would increase by about 15% if a higher discharge coefficient were to be adopted for the sluice gates, or if the turbine performance were to be improved. However, the estimated annual energy output could exceed the value of 16 TWh if future technological advances in both sluice gate construction and turbine performance are included.

Junqiang Xia; Roger A. Falconer; Binliang Lin; Guangming Tan

2012-01-01T23:59:59.000Z

132

Summary and Presentations from “Estimating the Benefits and Costs of Distributed Energy Technologies” Workshop Now Available  

Broader source: Energy.gov [DOE]

Beginning on September 30, 2014, the Department of Energy hosted a two-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies” in Washington DC. The purpose of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed energy technologies. Many valuation studies have been published in recent years, using different methods and assumptions.

133

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

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

134

Estimation of bremsstrahlung photon energy in the environment of high-energy electron accelerator using CaSO4:Dy based TL dosemeter  

Science Journals Connector (OSTI)

......Estimation of bremsstrahlung photon energy in the environment of high-energy electron accelerator using CaSO4...Mishra S. C. Quality control audit using TLDs for linear accelerators...Estimation of bremsstrahlung photon energy in the environment of high-energy......

A. K. Bakshi; M. K. Nayak; G. Haridas; S. Chatterjee; R. K. Kher

2008-01-01T23:59:59.000Z

135

14 - Estimating Water, Energy, and Carbon Footprints of Residential Swimming Pools  

Science Journals Connector (OSTI)

Abstract This chapter demonstrates the development and application of a model as a tool to assess and compare the environmental impacts of residential swimming pools. To demonstrate the applicability and dependability of this model as an assessment, planning, and management tool, realistic scenarios were employed to estimate and compare water, energy, and carbon footprints of residential swimming pools located in Maricopa County (Phoenix metropolitan area, Arizona) and colder climates. The estimated water footprints of the modeled residential swimming pools range from 45 m3/year to 185 m3/year/pool, while the estimated energy footprints range between 2400 and 2800 kWh/year/pool. The carbon footprint of the modeled pools was estimated to be 1400 ± 50 kg CO2e/year/pool. In the absence of direct measurements, development and utilization of simple models to assess and predict water consumption proves to be an invaluable instrument that should be part of a versatile water management toolkit.

Tyler Gallion; Tyler Harrison; Robert Hulverson; Kiril Hristovski

2014-01-01T23:59:59.000Z

136

Numerical estimation model of energy conversion for small hybrid solar–wind system  

Science Journals Connector (OSTI)

This article presents a numerical model which can estimate the energy conversions of separate and hybrid solar–wind systems under variable weather. The model integrates the equations associated with the characteristics of photovoltaic generation, wind energy conversion, energy balance, and battery bank, and uses the local database for radiation, wind speed, and ambient temperature. Once the equation associated with the characteristics of load is given, the numerical model can estimate the monthly and yearly powers output of the separate and hybrid solar–wind systems provided with different configurations. As a fundamental research, the presentations of daily profiles of solar radiation, wind energy, and ambient temperature are explained in detail, and the combination of the characteristics of wind energy conversion and battery bank is determined. The condition of hybrid action is shown, and the solutions are certain to be found. The operation strategies of separate and hybrid systems are also presented.

Shun Ching Lee

2012-01-01T23:59:59.000Z

137

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

SciTech Connect (OSTI)

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

138

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

SciTech Connect (OSTI)

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

139

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

SciTech Connect (OSTI)

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

140

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.

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

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

SciTech Connect (OSTI)

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

142

Estimating nonlinear QCD effects in ultrahigh energy neutrino events at IceCube  

Science Journals Connector (OSTI)

The number of ultrahigh energy events at IceCube is estimated, for the first time, taking into account nonlinear QCD effects in the neutrino-hadron cross section. We assume that the extragalactic neutrino flux is given by ??(E?)=?0E??2 and estimate the neutrino-hadron cross section using the dipole approach and a phenomenological model for the dipole-hadron cross section based on nonlinear QCD dynamics. We demonstrate that the nonlinear prediction is able to describe the current IceCube data and that the magnitude of the nonlinear effects is larger than 20% for visible energies of order of 2 PeV and increases with the neutrino energy. Our main conclusion is that the nonlinear QCD effects are non-negligible and should be taken into account in the analysis of the number of ultrahigh energy events.

V.?P. Gonçalves and D.?R. Gratieri

2014-09-11T23:59:59.000Z

143

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

SciTech Connect (OSTI)

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

144

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

SciTech Connect (OSTI)

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

145

Unbiased Estimate of Dark Energy Density from Type Ia Supernova Data  

Science Journals Connector (OSTI)

Type Ia supernovae (SNe Ia) are currently the best probes of the dark energy in the universe. To constrain the nature of dark energy, we assume a flat universe and that the weak energy condition is satisfied, and we allow the density of dark energy, ?X(z), to be an arbitrary function of redshift. Using simulated data from a space-based SN pencil-beam survey, we find that by optimizing the number of parameters used to parameterize the dimensionless dark energy density, f(z) = ?X(z)/?X(z = 0), we can obtain an unbiased estimate of both f(z) and the fractional matter density of the universe, ?m. A plausible SN pencil-beam survey (with a square degree field of view and for an observational duration of 1 yr) can yield about 2000 SNe Ia with 0 ? z ? 2. Such a survey in space would yield SN peak luminosities with a combined intrinsic and observational dispersion of ?(mint) = 0.16 mag. We find that for such an idealized survey, ?m can be measured to 10% accuracy, and the dark energy density can be estimated to ~20% to z ~ 1.5, and ~20%-40% to z ~ 2, depending on the time dependence of the true dark energy density. Dark energy densities that vary more slowly can be more accurately measured. For the anticipated Supernova/Acceleration Probe (SNAP) mission, ?m can be measured to 14% accuracy, and the dark energy density can be estimated to ~20% to z ~ 1.2. Our results suggest that SNAP may gain much sensitivity to the time dependence of the dark energy density and ?m by devoting more observational time to the central pencil-beam fields to obtain more SNe Ia at z > 1.2. We use both a maximum likelihood analysis and a Monte Carlo analysis (when appropriate) to determine the errors of estimated parameters. We find that the Monte Carlo analysis gives a more accurate estimate of the dark energy density than the maximum likelihood analysis.

Yun Wang; Geoffrey Lovelace

2001-01-01T23:59:59.000Z

146

An Estimate of the Thermodynamic Pressure in High-Energy Collisions  

E-Print Network [OSTI]

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

Tawfik, Abdel Nasser

2015-01-01T23:59:59.000Z

147

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

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

148

Estimating the environmental impact of home energy visits and extent of behaviour change  

Science Journals Connector (OSTI)

Abstract The objective of this study was to estimate the environmental impact of a home energy visit programme, known as RE:NEW, that was delivered in London, in the United Kingdom. These home energy visits intended to encourage reductions in household carbon emissions and water consumption through the installation of small energy saving measures (such as radiator panels, in-home energy displays and low-flow shower heads), further significant energy saving measures (loft and cavity wall insulation) and behaviour change advice. The environmental impact of the programme was estimated in terms of carbon emissions abated and on average, for each household in the study, a visit led to an average carbon abatement of 146 kgCO2. The majority of this was achieved through the installation of small energy saving measures. The impact of the visits on the installation of significant measures was negligible, as was the impact on behaviour change. Therefore, these visits did not overcome the barriers required to generate behaviour change or the barriers to the installation of more significant energy saving measures. Given this, a number of recommendations are proposed in this paper, which could increase the efficacy of these home energy visits.

Kristy Revell

2014-01-01T23:59:59.000Z

149

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

E-Print Network [OSTI]

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Refinements to flare energy , G. D. Holman 2 , and H. S. Hudson 3 Abstract. Emslie et al. [2004] reported estimates of the energy estimates - a follow-up to "Energy Partition in Two Solar Flare/CME Events" A. G. Emslie, 1 B. R. Dennis 2

California at Berkeley, University of

150

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

E-Print Network [OSTI]

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

Taylor, Margaret

2014-01-01T23:59:59.000Z

151

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect (OSTI)

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The overall objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes, and, in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project is one of the first attempts ever to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

152

Closing Data Gaps for LCA of Food Products: Estimating the Energy Demand of Food Processing  

Science Journals Connector (OSTI)

Closing Data Gaps for LCA of Food Products: Estimating the Energy Demand of Food Processing ... To quantify the environmental impacts arising from food production, environmental assessment tools such as life cycle assessment (LCA) should be applied. ... Most of the published LCA’s on food are assessing primary agricultural products, e.g., refs 4 and 5, whereas the number of studies available on processed food is lower, e.g., refs 6?8. ...

Neus Sanjuán; Franziska Stoessel; Stefanie Hellweg

2013-12-17T23:59:59.000Z

153

Estimating expected energy capture at potential wind turbine sites in Norway  

Science Journals Connector (OSTI)

To estimate the expected energy capture at potential wind turbine sites in Norway, a combination of low-cost wind monitoring, correlation and models are used. The wind monitoring, the correlation and the uncertainty of the method are described. Results from two cases are compared with predictions made with the model WASP. The results indicate that measurements are needed near potential wind turbine sites, until a high quality reference data set has been established, and models for complex terrain effects are validated.

T.A. Nygaard

1992-01-01T23:59:59.000Z

154

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network [OSTI]

-constrained world. Long-run simulations were created using CIMS, a hybrid energy-economy model supply submodel was built to simulate economies of scale in infrastructure. Capital costs, technology performance, infrastructure, fuel prices, and other conditions were varied in the simulations. All scenarios

155

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

156

Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources  

Science Journals Connector (OSTI)

Abstract Offshore wind resources are more abundant and stronger and they blow more consistently than land-based wind resources. While gale force winds are easier to hit on the sea, the strong wind vibration and wind loads may exert severe damage and shock to wind turbines and wind power grids, even resulting in power grid collapse. Thus, to develop offshore wind power, apart from accurate quantitative wind energy potential assessments, it is necessary to effectively estimate extreme wind speeds. Toward this purpose, this paper investigates the current status of extreme wind speeds and wind energy assessment from literature review. It turns out that much work on wind energy estimation has been performed, whereas relatively little research involves extreme wind speeds, the main challenge stemming from the limited availability of derived extreme winds. Then a GH method based on artificial intelligence optimization algorithms is developed to re-analyze future samples of extreme wind speeds. On the basis of the re-analyzed extreme samples, as well as the Generalized Extreme Value (GEV) and Gumbel models optimized by Cuckoo Search (CS) and Chaotic Particle Swarm Optimization (CPSO) algorithms, the potential risks of extreme wind speeds are conducted based on 23-year (1990–2012) historic wind speeds. Thus, in terms of wind speeds, a comprehensive estimation for offshore wind energy is initially implemented in Bohai Rim, China. The assessment shows that the study areas have high-strength wind power but are rarely subjected to extreme wind speeds, which implies that it is suitable for wind farm construction.

Jianzhou Wang; Shanshan Qin; Shiqiang Jin; Jie Wu

2015-01-01T23:59:59.000Z

157

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

E-Print Network [OSTI]

if the building is closed. 0 100 200 300 400 500 0:00 4:00 8:00 12:00 16:00 20:00 0:00 4:00 8:00 12:00 16:00 20:00 0:00 Measured Simulated Cooling Load [kW] Fig. 7 Hourly-integrated cooling load 0 100 200 300 400 500 2005/8/6 2005/8/14 2005/8/22 2005.../8/30 2005/9/7 2005/9/15 2005/9/23 Simulated Estimated using Gas Consumption Daily-integrated Cooling Load [kW] Fig. 8 Daily-integrated cooling load 5.1 Models Of Equipments Used For Air-Conditioning System a) Gas Consumption of Gas-Fired Absorption...

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

2006-01-01T23:59:59.000Z

158

Solar Energy Resource Assessment in Chile: Satellite Estimation and Ground Station Measurement  

Science Journals Connector (OSTI)

Abstract The progress from the last four years in solar energy resource assessment for Chile is reported, including measurements from a ground station network spanning from two to three years of data, and satellite estimations from the recently developed Chile-SR model including two full years of data. The model introduces different treatments for the meteorological variables and the effective cloud cover computations which allow estimation of the global horizontal irradiation on an hourly basis. The BRL model of diffuse radiation is then applied in order to estimate the diffuse fraction and diffuse irradiation, from which the Direct horizontal irradiation is then computed. Direct normal irradiation is computed by applying proper solar geometry corrections to the direct horizontal irradiation. The satellite estimation model was developed as an adaptation from Brazil-SR model, with an improved formulation for altitude-corrected atmospheric parameters, and a novel formulation for calculating effective cloud covers while at the same time detecting and differentiating it from snow covers and salt lakes. The model is validated by comparison with ground station data. The results indicate that there are high radiation levels throughout the country. In particular, northern Chile is endowed with one of the highest solar resources in the world, although the resource variability is higher than previously thought.

Rodrigo A. Escobar; Alberto Ortega; Cristián Cortés; Alan Pinot; Enio Bueno Pereira; Fernando Ramos Martins; John Boland

2014-01-01T23:59:59.000Z

159

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

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

160

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.


161

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

E-Print Network [OSTI]

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

Simunic, Tajana

162

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

SciTech Connect (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

163

Biomass Characteristics Index: A Numerical Approach in Palm Bio-Energy Estimation  

Science Journals Connector (OSTI)

Abstract In order to give a clear insight of the energy output estimation from the biomass, a comprehensive study on the physical properties of the biomass: bulk density and moisture content is crucial. A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and moisture content. A numerical framework is developed to determine the BCI. This index is used to estimate the biomass bulk density and moisture content before the calorific value calculation. The classification of biomass according to its specific BCI can forecast the related bulk density and moisture content. Therefore, it reduces the hassle and time constraint to get those values through conventional empirical method. This will increase the overall biomass operational management efficiency.

Jiang Ping Tang; Hon Loong Lam; Mustafa Kamal Abdul Aziz; Noor Azian Morad

2014-01-01T23:59:59.000Z

164

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

E-Print Network [OSTI]

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

Ioannis Anapolitanos

2014-10-21T23:59:59.000Z

165

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

E-Print Network [OSTI]

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

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

166

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

SciTech Connect (OSTI)

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

167

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

E-Print Network [OSTI]

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

Nimmo, Francis

168

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

169

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

E-Print Network [OSTI]

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

Collins, Gary S.

170

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

171

Solar energy resource assessment in Chile: Satellite estimation and ground station measurements  

Science Journals Connector (OSTI)

Abstract The progress from the last four years in solar energy resource assessment for Chile is reported, including measurements from a ground station network spanning from two to three years of data, and satellite estimations from the recently developed Chile-SR model including two full years of data. The model introduces different procedures for the meteorological variables and the effective cloud cover computations that allow estimation of the global horizontal and diffuse irradiation on an hourly basis. Direct normal irradiation is computed by applying proper solar geometry corrections to the direct horizontal irradiation. The satellite estimation model was developed as an adaptation from Brazil-SR model, with an improved formulation for altitude-corrected atmospheric parameters, and a novel formulation for calculating effective cloud covers while at the same time detecting and differentiating it from snow covers and salt lakes. The model is validated by comparison with ground station data. The results indicate that there are high radiation levels throughout the country. In particular, northern Chile is endowed with one of the highest solar resources in the world.

Rodrigo A. Escobar; Cristián Cortés; Alan Pino; Enio Bueno Pereira; Fernando Ramos Martins; José Miguel Cardemil

2014-01-01T23:59:59.000Z

172

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect (OSTI)

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with the Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes; and in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project represents one of the first attempts to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data. The project examined electricity and gas use for nine building types, including large offices, small offices, large retails, small retails, food stores, sitdown restaurants, fastfood restaurants, refrigerated warehouses, and non-refrigerated warehouses. For each building type, nine end uses were examined, including cooling, heating, ventilation, indoor lighting, outdoor lighting, miscellaneous equipment, water heating, cooking, and refrigeration. For the HVAC end uses (cooling, ventilation, and heating), separate analyses were performed for three climate zones: coastal, inland, and desert.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

173

Estimation of the energy of the electron-photon component of cosmic rays on the basis of data for Cherenkov light from ultrahigh-energy extensive air showers  

Science Journals Connector (OSTI)

The energy fraction E em/E 0 dissipated to the electron-photon component of extensive air showers (EASs) for E 0=1015?1019 eV is estimated using data on Cherenkov r...

S. P. Knurenko; A. A. Ivanov; I. E. Sleptsov; A. V. Sabourov

2006-08-01T23:59:59.000Z

174

Estimating the energy consumption and power demand of small power equipment in office buildings  

Science Journals Connector (OSTI)

Abstract Small power is a substantial energy end-use in office buildings in its own right, but also significantly contributes to internal heat gains. Technological advancements have allowed for higher efficiency computers, yet current working practices are demanding more out of digital equipment. Designers often rely on benchmarks to inform predictions of small power consumption, power demand and internal gains. These are often out of date and fail to account for the variability in equipment speciation and usage patterns in different offices. This paper details two models for estimating small power consumption in office buildings, alongside typical power demand profiles. The first model relies solely on the random sampling of monitored data, and the second relies on a ‘bottom-up’ approach to establish likely power demand and operational energy use. Both models were tested through a blind validation demonstrating a good correlation between metered data and monthly predictions of energy consumption. Prediction ranges for power demand profiles were also observed to be representative of metered data with minor exceptions. When compared to current practices, which often rely solely on the use of benchmarks, both proposed methods provide an improved approach to predicting the operational performance of small power equipment in offices.

A.C. Menezes; A. Cripps; R.A. Buswell; J. Wright; D. Bouchlaghem

2014-01-01T23:59:59.000Z

175

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

E-Print Network [OSTI]

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

Konopacki, S.J.

2010-01-01T23:59:59.000Z

176

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

E-Print Network [OSTI]

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

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

2002-01-01T23:59:59.000Z

177

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

SciTech Connect (OSTI)

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

Konopacki, S.J.; Akbari, H.

1996-08-01T23:59:59.000Z

178

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

179

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

180

A quantum algorithm to efficiently sample the work distribution and to estimate the free energy of quantum systems  

E-Print Network [OSTI]

We present a new method to measure work and to efficiently sample its probability distribution with fixed precision. The method can be used to estimate free energies on a quantum computer. It is based on three facts: (i) The probability to detect work $w$ in the state $\\rho$ is $P(w)={\\rm tr}[\\rho \\,W(w)]$, where $W(w)$ are positive operators satisfying $\\int dw \\,W(w)=I$. As $W(w)$ define a POVM (positive operator valued measure), work measurement always reduces to a projective measurement performed at a single time on an enlarged system. (ii) Work can be estimated using a variant of the "phase estimation algorithm" which is such that work $w$ is detected as the outcome of the single time measurement with probability $P(w)$. (iii) The efficient sampling of $P(w)$ can be combined with fluctuation theorems to estimate differences between the free energy of quantum states.

Augusto J. Roncaglia; Federico Cerisola; Juan Pablo Paz

2014-09-12T23:59:59.000Z

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

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

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

182

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

SciTech Connect (OSTI)

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

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

2012-09-28T23:59:59.000Z

183

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

E-Print Network [OSTI]

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

Van Buskirk, Robert

2014-01-01T23:59:59.000Z

184

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

E-Print Network [OSTI]

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

Van Buskirk, Robert

2014-01-01T23:59:59.000Z

185

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

E-Print Network [OSTI]

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

Mokhtarian, Patricia; Handy, Susan; Salomon, Ilan

1995-01-01T23:59:59.000Z

186

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

E-Print Network [OSTI]

8: Annual HVAC Source Energy, Cost, and Savings ProjectionsStatewide HVAC Source Energy, Cost, and Savings Projections23 Table 8: Annual HVAC Source Energy, Cost, and Savings

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

2003-01-01T23:59:59.000Z

187

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....

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

2005-01-01T23:59:59.000Z

188

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

E-Print Network [OSTI]

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

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

2003-01-01T23:59:59.000Z

189

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

SciTech Connect (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

190

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

191

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

E-Print Network [OSTI]

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...

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

2006-01-01T23:59:59.000Z

192

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

193

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

194

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

195

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

196

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

E-Print Network [OSTI]

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

Mathew, Paul

2010-01-01T23:59:59.000Z

197

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

198

Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation  

E-Print Network [OSTI]

associated change in energy demand of homes. The IVE modelmodels that calculate energy demand by solving a series ofand (b) the change in energy demand resulting in a change in

Logue, Jennifer M.

2014-01-01T23:59:59.000Z

199

A method to estimate the size and remaining market potential of the U.S. ESCO (energy service company) industry  

Science Journals Connector (OSTI)

Abstract This study presents a method to estimate the market investment potential for ESPC (energy-saving performance contracts) and annual blended energy savings remaining in buildings typically addressed by U.S. \\{ESCOs\\} (energy service companies). We define \\{ESCOs\\} as companies for whom performance-based contracting is a core business activity. The market potential analysis incorporates market penetration estimates provided by industry experts in late 2012, data on U.S. building stock typically addressed by ESCOs, and typical project investment costs from a database of 4000 + projects. ESCO industry revenue growth significantly outpaced U.S. GDP (gross domestic product) growth during 2009–2011. We estimate that the remaining investment potential in facilities typically addressed by the ESCO industry ranges from ?$71 to $133 billion. Our analysis includes ESCO industry size and growth projections drawing on information from interviews with ESCO executives conducted in late 2012. The U.S. ESCO industry could grow in size from $6 billion in 2013 to ?$7.5 billion by 2014, but this growth is contingent on enabling policies. The U.S. ESCO industry is similar in size to the ESCO industries in Germany, France, and China. Our estimation approach could be adapted for other countries with the caveat that ESCO industry definitions and revenue reporting practices vary across countries.

Elizabeth Stuart; Peter H. Larsen; Charles A. Goldman; Donald Gilligan

2014-01-01T23:59:59.000Z

200

User account | SAML IdM  

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

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

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

202

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

E-Print Network [OSTI]

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

Konopacki, S.J.

2010-01-01T23:59:59.000Z

203

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 +

204

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

205

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

206

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

E-Print Network [OSTI]

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

Atwater, Harry

207

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

SciTech Connect (OSTI)

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

208

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

SciTech Connect (OSTI)

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

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

2014-07-01T23:59:59.000Z

209

Cost of capital estimation for energy efficiency projects through a cash flow beta approach  

Science Journals Connector (OSTI)

This paper presents a methodological framework for project beta estimation according to the Capital Asset Pricing Model (CAPM) when relevant ... monthly residential retail price data for electricity, natural gas,...

György Andor; Marcell Dülk

2014-09-01T23:59:59.000Z

210

Indirect estimation of energy disposition by non-thermal electrons in solar flares  

Science Journals Connector (OSTI)

The broad-band EUV and microwave fluxes correlate strongly with hard X-ray fluxes in the impulsive phase of a solar flare. This note presents numerical aids for the estimation of the non-thermal electron fluxe...

H. S. Hudson; R. C. Canfield; S. R. Kane

1978-11-01T23:59:59.000Z

211

Measured and Parameterized Energy Fluxes Estimated for Atlantic Transects of R/V Polarstern  

Science Journals Connector (OSTI)

Sensible and latent heat fluxes were estimated from turbulence measurements gathered during several Atlantic Ocean transects of the research vessel (R/V) Polarstern. The inertial dissipation method was used to analyze the data. Resulting bulk ...

Karl Bumke; Michael Schlundt; John Kalisch; Andreas Macke; Henry Kleta

2014-02-01T23:59:59.000Z

212

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

E-Print Network [OSTI]

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

Kammen, Daniel M.

213

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

SciTech Connect (OSTI)

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

214

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

E-Print Network [OSTI]

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

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

215

Urban energy consumption and related carbon emission estimation: a study at the sector scale  

Science Journals Connector (OSTI)

With rapid economic development and energy consumption growth, China has become the largest energy consumer in the world. Impelled by extensive international concern, there ... an urgent need to analyze the chara...

Weiwei Lu; Chen Chen; Meirong Su; Bin Chen; Yanpeng Cai…

2013-12-01T23:59:59.000Z

216

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

E-Print Network [OSTI]

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

A. A. Ivanov

2007-04-26T23:59:59.000Z

217

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

SciTech Connect (OSTI)

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

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

2010-04-14T23:59:59.000Z

218

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

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

219

Energy Estimation from the Angular Distribution of 20-GeV/c Pion Interactions in Photographic Emulsion  

Science Journals Connector (OSTI)

Interactions of 20-GeV/c negative pions in photographic emulsion have been analyzed in order to compare and test the methods of energy estimation commonly used in high-energy cosmic-ray investigations. The energy of each pion interaction has been determined from the angular distribution of the secondary particles using the median-angle, Castagnoli, Ech, and E(?) methods. The interactions have been divided into various groups according to the number Nh of evaporation prongs and the number ns of secondary particles. The median-angle, Castagnoli, and E(?) methods all overestimate the energy of the group with Nh?5 (ns?4) by factors of 1.5, 1.2, and 1.1, respectively. These same methods underestimate the energy of the group with Nh>5 (ns?4) by factors of 1.3, 2.0, and 2.3, respectively. The Ech method underestimates the energies of the groups with Nh?5 (ns?4) and Nh>5 (ns?4) by factors of 1.3 and 1.5, respectively. These underestimates by the Ech method become 0.9 and 1.0 if the general practice of including the effect of neutral secondaries to the Ech method is adopted. For all the various groupings of Nh and ns considered, the Ech method yields the most consistent and uniform results with the smallest standard deviations than any of the other three methods.

E. R. Goza; S. Krzywdzinski; C. O. Kim; J. N. Park

1970-11-01T23:59:59.000Z

220

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

E-Print Network [OSTI]

for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changes are assumed to indicate likely market reactions to the extent that key parameters (price elasticities between functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated

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

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

SciTech Connect (OSTI)

Collection of hot electrons generated by the efficient absorption of light in metallic nanostructures, in contact with semiconductor substrates can provide a basis for the construction of solar energy-conversion devices. Herein, we evaluate theoretically the energy-conversion efficiency of systems that rely on internal photoemission processes at metal-semiconductor Schottky-barrier diodes. In this theory, the current-voltage characteristics are given by the internal photoemission yield as well as by the thermionic dark current over a varied-energy barrier height. The Fowler model, in all cases, predicts solar energy-conversion efficiencies of <1% for such systems. However, relaxation of the assumptions regarding constraints on the escape cone and momentum conservation at the interface yields solar energy-conversion efficiencies as high as 1%–10%, under some assumed (albeit optimistic) operating conditions. Under these conditions, the energy-conversion efficiency is mainly limited by the thermionic dark current, the distribution of hot electron energies, and hot-electron momentum considerations.

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

2014-04-07T23:59:59.000Z

222

Estimates of HE-LHC beam parameters at different injection energies  

SciTech Connect (OSTI)

A future upgrade to the LHC envisions increasing the top energy to 16.5 TeV and upgrading the injectors. There are two proposals to replace the SPS as the injector to the LHC. One calls for a superconducting ring in the SPS tunnel while the other calls for an injector (LER) in the LHC tunnel. In both scenarios, the injection energy to the LHC will increase. In this note we look at some of the consequences of increased injection energy to the beam dynamics in the LHC.

Sen, Tanaji; /Fermilab

2010-11-01T23:59:59.000Z

223

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

E-Print Network [OSTI]

rate of technology penetration and rate of intensity change,energy. In addition, the penetration rate of each end-use isinstalled base (i.e. penetration rate) for each end-use set

Fridley, David G.

2008-01-01T23:59:59.000Z

224

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

E-Print Network [OSTI]

methodology was developed to capture total energy savings. This model allows the separation of capital savings to yield savings uniquely attributable to the behavioral program. The intervention model and the resulting calculated savings were both validated...

Luneski, R. D.

2011-01-01T23:59:59.000Z

225

Estimation of the Energy and Capacity Savings in Texas from Appliance Efficiency Standards  

E-Print Network [OSTI]

The purpose of this presentation will be to assess the technical potential for energy and capacity savings in Texas by the year 2006 by the statewide adoption of minimum appliance efficiency standards equivalent to those recently adopted...

Verdict, M.

1986-01-01T23:59:59.000Z

226

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

227

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

228

Influence of thermal zone assumptions on DOE-2 energy use estimations of a commercial building  

E-Print Network [OSTI]

heating and cooling energy consumption and the simulated values was only 3%. These results were found based on monthly energy data, and several iterations were performed to adjust the input file when major inconsistencies were found between... and Atmospheric Administration's Typical Meteorological Year (TMY) file and then "tuned" again. The ECM's were then modeled and ranked according to their cost effectiveness. This report shows one way of matching simulated data to monitored data...

Hinchey, Sharon Beth

1991-01-01T23:59:59.000Z

229

Development of method for estimation of world industrial energy consumption and its application  

Science Journals Connector (OSTI)

The energy balances published by the International Energy Agency (IEA) are one of the most valuable sources of energy statistics covering world energy supply and demand. However, some issues arise when these data are analyzed or used directly. Even when industrial energy consumption alone is examined, at least three types of issues are encountered: missing data, large amounts of misallocated data in some countries, and numerous unrealistic outliers in the time-series variations. When we deal with only a few regions, we can look at data one by one and modify them. In this case, we are going to overcome these issues with a systematic method because the data covers world including more than a hundred regions. This paper proposes a data reconciliation method to treat these issues, and describes its application to world industrial energy consumption. As a result of its application, we found that the three issues mentioned above seemed to be overcome. The degree of the reconciliation by region showed that OECD countries' degree tends to be smaller than those of non-OECD countries. However, not all of the OECD countries have low values and some countries, such as the United States, have high values.

Shinichiro Fujimori; Yuzuru Matsuoka

2011-01-01T23:59:59.000Z

230

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]

for a Brayton-cycle engine are challenging, and lack a large body of operational data unlike steam plants. WeUnder Review for Publication in ASME J. Solar Energy Engineering SOL-12-1058 Life Estimation estimates showed that the Brayton engine's turbine inlet temperature needs to be at least 1100 K

Tomkins, Andrew

231

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

E-Print Network [OSTI]

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 for Estimating Impacts of Air Sealing and Mechanical Ventilation 2 Disclaimer This document was prepared

232

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

SciTech Connect (OSTI)

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

233

Multiple regression analysis for the estimation of energy content of municipal solid waste  

Science Journals Connector (OSTI)

A regression equation is proposed to predict the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) from the waste data of 86 cities of 35 countries. A mathematical model is developed, by using Statistical Package for Social Sciences (SPSS-10.0), to correlate the energy content of waste with the variables derived from its physical composition. Performance of the proposed multiple regression model is superior to available models. For validation, the proposed model is applied to the waste data of Jaipur City (India), nine cities of EEC countries and also to the MSW of USA. Energy content values obtained by proposed regression model and Modified Dulong's Equation (MDE) are closer to the measured mean energy content values for EEC countries compared to the values obtained by Khan's method. Objective of the paper is to propose a simple model, which can replace the lengthy MDE and which has universal applicability for the predication of HHVs.

G.D. Agrawal; A.P.S. Rathore; A.B. Gupta

2007-01-01T23:59:59.000Z

234

WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal  

Science Journals Connector (OSTI)

Abstract The performance of the WRF mesoscale model in the wind simulation and wind energy estimates was assessed and evaluated under different initial and boundary forcing conditions. Due to the continuous evolution and progress in the development of reanalyses datasets, this work aims to compare an older, yet widely used, reanalysis (the NCEP-R2) with three recently released reanalyses datasets that represent the new generation of this type of data (ERA-Interim, NASA-MERRA and NCEP-CFSR). Due to its intensive use in wind energy assessment studies, the NCEP-GFS and NCEP-FNL analysis were also used to drive WRF and its results compared to those of the simulations driven by reanalyses. Six different WRF simulations were conducted and their results compared to measured wind data collected at thirteen wind measuring stations located in Portugal in areas of high wind energy potential. Based on the analysis and results presented in this work, it can be concluded that the new generation reanalyses are able to provide a considerable improvement in wind simulation when compared to the older reanalyses. Among all the initial and boundary conditions datasets tested here, ERA-Interim reanalysis is the one that likely provides the most realistic initial and boundary data, providing the best estimates of the local wind regimes and potential wind energy production. The NCEP-GFS and NCEP-FNL analyses seem to be the best alternatives to ERA-Interim, showing better results than all the other reanalyses datasets here tested, and can therefore be considered as valid alternatives to ERA-Interim, in particular for cases where reliable forcing data is needed for real-time applications due to its fast availability.

D. Carvalho; A. Rocha; M. Gómez-Gesteira; C. Silva Santos

2014-01-01T23:59:59.000Z

235

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

E-Print Network [OSTI]

because, for example, there are losses involved in syn- thesizing macromolecules, in continually resyn of work. All energy that passes through a population is either lost as heat or passes on to another Metamysidopsis eZangata (Holmes) . Various aspects of the distribution, behavior, and pop- ulation biology

236

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

E-Print Network [OSTI]

energy use intensity (EUI) by end use for major buildingare shown in Table 3-4. EDA_EUI j k u a l ) l A v a C j i jk annualihvaCii jjj x EDA_EUI ai,hvac,FtHood = EDA.EUIaniiu^

Konopacki, S.J.

2010-01-01T23:59:59.000Z

237

Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation  

E-Print Network [OSTI]

tethered to the ground at a high velocity across the wind direction. Power can be generated by a, the first option is considered. Because it involves a much lighter structure, a major advantage of powerControl of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving

238

Estimation and Mapping of Hurricane Turbulent Energy Using Airborne Doppler Measurements  

Science Journals Connector (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

239

Estimation of viscosities of ternary silicate melts using the excess gibbs energy of mixing  

Science Journals Connector (OSTI)

A correlation to predict the viscosities of ternary silicates using the Gibbs energies of mixing of the silicate melts has been developed....2, FeO-MgO-SiO2, CaO-FeO-SiO2, CaO-MnO-SiO2, and CaO-MgO-SiO2. The good...

S. Seetharaman; Du Sichen; F. -Z. Ji

2000-02-01T23:59:59.000Z

240

Implementation of non-intrusive energy saving estimation for Volt/VAr control of smart distribution system  

Science Journals Connector (OSTI)

Abstract There has been a growing interest among power distribution utilities to explore smart grid technologies to improve the operational efficiency and reliability. As electricity distribution grid is evolving to become “smart”, energy demand reduction is one of the goals for the distribution utilities. In order to obtain this goal, utilities need to commit significant financial resources. Therefore, it became important to assess the benefit of new technologies such as Volt/VAr control (VVC). To compute the energy savings due to VVC implementation, existing algorithms are intrusive, and generally require altering the distribution system control settings and operating points, which is undesirable for system operator. On the other hand, these may require large amount of historical data. In this paper, implementation of a new non-intrusive energy saving estimation algorithm has been presented for integrated Volt/VAr control by Avista Utilities in Northwest USA. Developed algorithm utilizes measurements from smart distribution system. Develop algorithm allows studying the energy saving in long term as it requires no change in control settings of actual distribution system. Satisfactory results have been obtained and validated against field data from experiments on real feeders by Avista Utilities.

S. Chanda; F. Shariatzadeh; A. Srivastava; E. Lee; W. Stone; J. Ham

2014-01-01T23:59:59.000Z

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.


241

Analysis and estimation of the threshold for a microwave "pellicle mirror" parametric oscillator, via energy conservation  

E-Print Network [OSTI]

An experiment is proposed to observe the dynamical Casimir effect by means of two tandem, high Q, superconducting microwave cavities, which are separated from each other by only a very thin wall consisting of a flexible superconducting membrane that can be driven into motion by means of resonant "pump" microwaves injected into the left cavity. Degenerate "signal" and "idler" microwave signals can then be generated by the exponential amplification of vacuum fluctuations in the initially empty right cavity, above a certain threshold. The purpose of this paper is calculate the threshold for this novel kind of opto-mechanical parametric oscillation, using energy considerations.

Chiao, Raymond Y

2012-01-01T23:59:59.000Z

242

Transformation of potential energy surfaces for estimating isotopic shifts in anharmonic vibrational frequency calculations  

SciTech Connect (OSTI)

A transformation of potential energy surfaces (PES) being represented by multi-mode expansions is introduced, which allows for the calculation of anharmonic vibrational spectra of any isotopologue from a single PES. This simplifies the analysis of infrared spectra due to significant CPU-time savings. An investigation of remaining deviations due to truncations and the so-called multi-level approximation is provided. The importance of vibrational-rotational couplings for small molecules is discussed in detail. In addition, an analysis is proposed, which provides information about the quality of the transformation prior to its execution. Benchmark calculations are provided for a set of small molecules.

Meier, Patrick; Oschetzki, Dominik; Rauhut, Guntram, E-mail: rauhut@theochem.uni-stuttgart.de [Institut für Theoretische Chemie, Universität Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart (Germany)] [Institut für Theoretische Chemie, Universität Stuttgart, Pfaffenwaldring 55, 70569 Stuttgart (Germany); Berger, Robert [Clemens-Schöpf Institut für Organische Chemie and Biochemie, Technische Universität Darmstadt, Petersenstrasse 22, 64287 Darmstadt (Germany)] [Clemens-Schöpf Institut für Organische Chemie and Biochemie, Technische Universität Darmstadt, Petersenstrasse 22, 64287 Darmstadt (Germany)

2014-05-14T23:59:59.000Z

243

Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data  

E-Print Network [OSTI]

We present the results of the analysis of satellite imagery to study light pollution in Spain. Both calibrated and non-calibrated DMSP-OLS images were used. We describe the method to scale the non-calibrated DMSP-OLS images which allows us to use differential photometry techniques in order to study the evolution of the light pollution. Population data and DMSP-OLS satellite calibrated images for the year 2006 were compared to test the reliability of official statistics in public lighting consumption. We found a relationship between the population and the energy consumption which is valid for several regions. Finally the true evolution of the electricity consumption for street lighting in Spain from 1992 to 2010 was derived, it have been doubled in the last 18 years in most of the provinces.

de Miguel, Alejandro Sánchez; Castaño, José Gómez; Pascual, Sergio

2013-01-01T23:59:59.000Z

244

Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data  

Science Journals Connector (OSTI)

Abstract We present the results of the analysis of satellite imagery to study light pollution in Spain. Both calibrated and non-calibrated DMSP-OLS images were used. We describe the method to scale the non-calibrated DMSP-OLS images which allows us to use differential photometry techniques in order to study the evolution of the light pollution. Population data and DMSP-OLS satellite calibrated images for the year 2006 were compared to test the reliability of official statistics in public lighting consumption. We found a relationship between the population and the energy consumption which is valid for several regions. Finally the true evolution of the electricity consumption for street lighting in Spain from 1992 to 2010 was derived; it has been doubled in the last 18 years in most of the provinces.

Alejandro Sánchez de Miguel; Jaime Zamorano; José Gómez Castaño; Sergio Pascual

2014-01-01T23:59:59.000Z

245

ESTIMATE OF THE TOTAL MECHANICAL FEEDBACK ENERGY FROM GALAXY CLUSTER-CENTERED BLACK HOLES: IMPLICATIONS FOR BLACK HOLE EVOLUTION, CLUSTER GAS FRACTION, AND ENTROPY  

SciTech Connect (OSTI)

The total feedback energy injected into hot gas in galaxy clusters by central black holes can be estimated by comparing the potential energy of observed cluster gas profiles with the potential energy of non-radiating, feedback-free hot gas atmospheres resulting from gravitational collapse in clusters of the same total mass. Feedback energy from cluster-centered black holes expands the cluster gas, lowering the gas-to-dark-matter mass ratio below the cosmic value. Feedback energy is unnecessarily delivered by radio-emitting jets to distant gas far beyond the cooling radius where the cooling time equals the cluster lifetime. For clusters of mass (4-11) x 10{sup 14} M{sub sun}, estimates of the total feedback energy, (1-3) x 10{sup 63} erg, far exceed feedback energies estimated from observations of X-ray cavities and shocks in the cluster gas, energies gained from supernovae, and energies lost from cluster gas by radiation. The time-averaged mean feedback luminosity is comparable to those of powerful quasars, implying that some significant fraction of this energy may arise from the spin of the black hole. The universal entropy profile in feedback-free gaseous atmospheres in Navarro-Frenk-White cluster halos can be recovered by multiplying the observed gas entropy profile of any relaxed cluster by a factor involving the gas fraction profile. While the feedback energy and associated mass outflow in the clusters we consider far exceed that necessary to stop cooling inflow, the time-averaged mass outflow at the cooling radius almost exactly balances the mass that cools within this radius, an essential condition to shut down cluster cooling flows.

Mathews, William G.; Guo Fulai, E-mail: mathews@ucolick.org [University of California Observatories/Lick Observatory, Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States)

2011-09-10T23:59:59.000Z

246

Neutrons from high?energy x?ray medical accelerators: An estimate of risk to the radiotherapy patient  

Science Journals Connector (OSTI)

The problem of neutrons produced by many of the high?energy x?ray therapy machines (10 MV and above) is reviewed and the possible risk their presence poses to radiotherapy patients is estimated. A review of the regulatory background containing a summary of the recommendations of the U. S. Council of State Governments (USCSG) and of the International Electro?Technical Commission (IEC) as well as an indication that recommendations will be forthcoming from the National Council on Radiation Protection (NCRP) and the International Commission of Radiological Protection (ICRP) is presented. The neutrons in question are produced by high?energy photons(x rays) incident on the various materials of the target flattening filter collimators and other essential components of the equipment. The neutron yield (per treatmentdose) increases rapidly as the megavoltage is increased from 10 to 20 MV but remains approximately constant above this. Measurements and calculations of the quantity quality and spatial distribution of these neutrons and their concomitant dose are summarized. Values of the neutrondose are presented as entrance dose midline dose (10?cm depth) and integral dose both within and outside of the treatment volume. These values are much less than the unavoidable photondoses which are largely responsible for treatment side effects. For typical equipment the average neutron integral dose from accelerator?produced neutrons is about 4–7 g?cGy (per treatment cGy) depending on the treatment plan. This translates into an average dose of neutrons [averaged over the body of a typical 70?kg (154 1b) patient] of 0.06–0.10 cGy for a treatment of 1000 cGy. Using these neutrondoses and the best available neutron risk coefficients it is estimated that 50×10? 6 fatal malignancies per year due to the neutrons may follow a typical treatment course of 5000 rads of 25?MV x rays. This is only about 1/60th of the average incidence of malignancies for the general population. Thus the cancer risk to the radiotherapy patient from accelerator?produced neutrons poses an additional risk to the patient that is negligible in comparison.

Ravinder Nath; Edward R. Epp; John S. Laughlin; William P. Swanson; Victor P. Bond

1984-01-01T23:59:59.000Z

247

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

248

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

E-Print Network [OSTI]

1993 Residential Energy Consumption survey (US DOE 1995) 3 .using the energy consumption test data collected by US EPAUS DOE, United States Department of Energy. 2004. Residential Energy Consumption

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

249

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

E-Print Network [OSTI]

No.4 Japan's Long-term Energy Demand and Supply Scenario towe projected Japan's energy demand/supply and energy-relatedcrises (to cut primary energy demand per GDP ( T P E S / G D

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

250

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

E-Print Network [OSTI]

ventilation) Introducing net zero energy buildings IncreasedPotential for Achieving Net Zero-Energy Buildings in the

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

251

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

E-Print Network [OSTI]

primary energy supply growth has gradually slowed down as energy conservation efforts have been enhanced with interest growing in global

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

252

DEWEK Wind Energy Conference 2012 Category: 4. Simulation models BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND  

E-Print Network [OSTI]

DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. René Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last

Berlin,Technische Universität

253

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

254

Estimating Methods  

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

Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

255

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

E-Print Network [OSTI]

As a result, primary energy consumption per GDP in 2050 willC 0 emissions per primary energy consumption in 2050 will bebehind energy consumption, we have paid attention to primary

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

256

Cost efficiency estimations and the equity returns for the US public solar energy firms in 1990–2008  

Science Journals Connector (OSTI)

......DC: National Renewable Energy Laboratory. Available...J. P. (2008) Solar Energy: Solar Finance and Forecast...America Equity Research. New York: The J.P. Morgan Securities...Inc. NATIONAL RENEWABLE ENERGY LABORATORY. (2006) Economic......

Chris Kuo

2011-10-01T23:59:59.000Z

257

Cost efficiency estimations and the equity returns for the US public solar energy firms in 1990–2008  

Science Journals Connector (OSTI)

......efficiency. Keywords: solar energy; cost efficiency analysis; stochastic...returns. 1. Introduction Solar energy is considered the cleanest, most abundant, renewable energy source available. It provides a cost-effective solution for daytime......

Chris Kuo

2011-10-01T23:59:59.000Z

258

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

E-Print Network [OSTI]

to cut primary energy demand per GDP ( T P E S / G D P ) inhowever, primary energy supply per GDP decelerated a declineattention to primary energy supply per GDP, per capita GDP

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

259

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

E-Print Network [OSTI]

of new energy sources including solar power will expandfor 60%, solar and other renewable energy sources for 20%,The share for solar and other new energy sources will expand

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

260

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

E-Print Network [OSTI]

0 Solar energy • Nuclear CO2 recovery and storage (CCS)Solar C O Emissions after Reductiori I Nuclear I CO2 Capture and Storage (CCS) J energy

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

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.


261

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

E-Print Network [OSTI]

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

S. Mavrodiev; A. Mishev; J. Stamenov

2003-10-22T23:59:59.000Z

262

1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans-Alaska Pipeline that is consumed in pumping. As always, try not to look anything up.  

E-Print Network [OSTI]

1. [M] Estimate the fraction of the total transported energy (in the form of gasoline) in the Trans to this (which is 1 bend per 10 m). So we can toss this out. Now estimate the energy content of gasoline: Many

Nimmo, Francis

263

A Large-Scale Test of Free-Energy Simulation Estimates of Protein–Ligand Binding Affinities  

Science Journals Connector (OSTI)

We have performed a large-scale test of alchemical perturbation calculations with the Bennett acceptance-ratio (BAR) approach to estimate relative affinities for the binding of 107 ligands to 10 different proteins. Employing 20-Å truncated spherical ...

Paulius Mikulskis; Samuel Genheden; Ulf Ryde

2014-09-29T23:59:59.000Z

264

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  

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

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

265

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

E-Print Network [OSTI]

mitigation techniques. Acknowledgments- This work was supported by the Assistant Secretary for Energy Efficiency and Renewable

Riley, W.J.

2008-01-01T23:59:59.000Z

266

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

E-Print Network [OSTI]

best practices in the construction trades that install energy efficiencyenergy efficiency evaluation plans and studies in various states; Develop and disseminate best practicesbest practices” guides and case studies on evaluation planning and methods for energy efficiency

Messenger, Mike

2010-01-01T23:59:59.000Z

267

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

SciTech Connect (OSTI)

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

268

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

E-Print Network [OSTI]

growth, population, crude oil prices, industrial materialsin 2050. The imported crude oil price assumption is based onas energy security amid crude oil price spikes. Under the

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

269

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

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

270

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

SciTech Connect (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

271

29th International Cosmic Ray Conference Pune (2005) 00, 101106 First Estimate of the Primary Cosmic Ray Energy Spectrum  

E-Print Network [OSTI]

Cosmic Ray Energy Spectrum above 3 EeV from the Pierre Auger Observatory The Pierre Auger Collaboration forerunner experiments. A measurement of the cosmic ray energy spectrum in the southern sky is reported here in Argentina now covers an area of approx- imately 1500 km2 . On good-weather nights, air fluorescence

272

Cost efficiency estimations and the equity returns for the US public solar energy firms in 1990–2008  

Science Journals Connector (OSTI)

......are forced to improve cost efficiency. Keywords: solar energy; cost efficiency analysis...available. It provides a cost-effective solution for...sources of oil and natural gas. The USA has some of...guarantees for energy production of various types. The......

Chris Kuo

2011-10-01T23:59:59.000Z

273

Estimation of baroclinic tide energy available for deep ocean mixing based on three-dimensional global numerical simulations  

Science Journals Connector (OSTI)

The global distributions of the major semidiurnal (M2 and S2) and diurnal (K1 and O1) baroclinic tide energy are investigated using a hydrostatic sigma-coordinate ... /5° shows that generation of energetic barocl...

Yoshihiro Niwa; Toshiyuki Hibiya

2011-08-01T23:59:59.000Z

274

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

E-Print Network [OSTI]

coal for power generation is expected to remain stable due to its stable supply and economiccoal and L N G combustion within Japan. IEEJ Energy Journal Vol.4, No.4 Key Assumptions Economic

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

275

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

SciTech Connect (OSTI)

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

276

Estimation of the breakup cross sections in $^6$He+$^{12}$C reaction within high-energy approximation and microscopic optical potential  

E-Print Network [OSTI]

The breakup cross sections in the reaction $^6$He+$^{12}$C are calculated at about 40 MeV/nucleon using the high-energy approximation (HEA) and with the help of microscopic optical potentials (OP) of interaction with the target nucleus $^{12}$C of the projectile nucleus fragments $^4$He and 2n. Considering the di-neutron $h$=2n as a single particle the relative motion $h\\alpha$ wave function is estimated so that to explain both the separation energy of $h$ in $^6$He and the rms radius of the latter. The stripping and absorbtion total cross sections are calculated and their sum is compared with the total reaction cross section obtained within a double-folding microscopic OP for the $^6$He+$^{12}$C scattering. It is concluded that the breakup cross sections contribute in about 50% of the total reaction cross section.

E. V. Zemlyanaya; V. K. Lukyanov; K. V. Lukyanov

2010-12-06T23:59:59.000Z

277

Simulation of household in-home and transportation energy use : an integrated behavioral model for estimating energy consumption at the neighborhood scale  

E-Print Network [OSTI]

Household in-home activities and out-of-home transportation are two major sources of urban energy consumption. In light of China's rapid urbanization and income growth, changing lifestyles and consumer patterns - evident ...

Yu, Feifei, S.M. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

278

DOE Challenge Home Savings and Cost Estimate Summary | Department...  

Energy Savers [EERE]

Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November...

279

Estimating exergy prices for energy carriers in heating systems: Country analyses of exergy substitution with capital expenditures  

Science Journals Connector (OSTI)

Exergy represents the ability of an energy carrier to perform work and can be seen as a core indicator for measuring its quality. In this article we postulate that energy prices reflect the exergy content of the underlying energy carrier and that capital expenditures can substitute for exergy to some degree. We draw our line of argumentation from cost and technology data for heating systems of four European countries: Austria, Finland, The Netherlands, and Sweden. Firstly, this paper shows that the overall consumer costs for different heating options, widely installed in those countries, are in the same range. In this analysis we derived an overall standard deviation of about 8%. Secondly, additional analysis demonstrates that the share of capital costs on total heating cost increases with lower exergy input. Based on the data used in this analysis, we conclude that for the case of modern cost effective heating systems the substitution rate between exergy and capital is in the vicinity of 2/3. This means that by reducing the average specific exergy input of the applied energy carriers by one unit, the share of capital costs on the total costs increases by 2/3 of a unit.

A. Müller; L. Kranzl; P. Tuominen; E. Boelman; M. Molinari; A.G. Entrop

2011-01-01T23:59:59.000Z

280

Cost Estimator  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

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

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]

Regression Variable De-correlations and Weights .......................... 59#1; Weights Calculation Method .................................................... 60#1; De-Correlation of Collinearity... for day j , ,post measured jE Measured energy use for day j h Filters solI Solar radiation MLR Multivariate linear regression xvii Nbhd Neighborhood p Number of regressor parameters RH Relative humidity Res dew...

Lei, Yafeng

2010-01-14T23:59:59.000Z

282

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

283

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

SciTech Connect (OSTI)

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

284

A. Oumbe, Ph. Blanc, T. Ranchin, M. Schroedter-Homscheidt, L. Wald, 2009. A new method for estimating solar energy resource. In Proceedings of the ISRSE 33, held in Stresa, Italy, 4-9 May 2009. Published by Joint Research Center, Ispra,  

E-Print Network [OSTI]

for estimating solar energy resource. In Proceedings of the ISRSE 33, held in Stresa, Italy, 4-9 May 2009. Published by Joint Research Center, Ispra, USBKey, paper 773. A new method for estimating solar energy sources of energy should be better exploited to meet demand. Among them, solar energy offers a great

Paris-Sud XI, Université de

285

Energy demand  

Science Journals Connector (OSTI)

The basic forces pushing up energy demand are population increase and economic growth. From ... of these it is possible to estimate future energy requirements.

Geoffrey Greenhalgh

1980-01-01T23:59:59.000Z

286

Zero Energy Windows  

E-Print Network [OSTI]

Energy 2005). Primary” energy consumption includes a site-and cooling primary energy consumption for residential andinto estimates of primary energy consumption. Third, we used

Arasteh, Dariush; Selkowitz, Steve; Apte, Josh; LaFrance, Marc

2006-01-01T23:59:59.000Z

287

Energy and Cost Savings Calculators for Energy-Efficient Products...  

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

for Energy-Efficient Products Energy and Cost Savings Calculators for Energy-Efficient Products Estimate energy and cost savings for energy- and water-efficient product...

288

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.

289

Energy  

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

Energy newsroomassetsimagesenergy-icon.png Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security...

290

Is pelvic bone mineral content assessed through dual energy X-ray absorptionmetry an appropriate anatomical area for bone mass estimation in women?  

Science Journals Connector (OSTI)

Bibliographic references seem very controversill regarding the most appropriate anatomical area for bone mass estimation. Since some overlapping in the different bone mass measurements among normal and osteopo...

Prof. Dr. H. Rico; M. Revilla; E. R. Hernández; L. F. Villa…

1992-12-01T23:59:59.000Z

291

Monte Carlo estimation of photoneutrons contamination from high-energy X-ray medical accelerators in treatment room and maze: a simplified model  

Science Journals Connector (OSTI)

......contamination from high-energy X-ray medical accelerators...Neutron measurements around high energy X-ray radiotherapy machines. (1986) New York: American Institute of Physics...Elsalim M. Neutron fluence and energy spectra around the Varian......

Mansour Zabihzadeh; Mohammad Reza Ay; Mahmoud Allahverdi; Asghar Mesbahi; Seyed Rabee Mahdavi; Majid Shahriari

2009-07-01T23:59:59.000Z

292

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

293

Yield estimation using bandpass-filtered seismograms: Preliminary results using neural networks with mb(Pn), short-time, long-time, and coda energy measurements  

Science Journals Connector (OSTI)

...Approach to Yield Estimation We have used an artificial neural network (fl~NN) for yield estimation where the input to the Ad~INis seismic measurements and the output of the ~LNNis the yield of the explosion. The type of ANN we have chosen uses the multilayered...

Richard R. Leach; Jr.; Farid U. Dowla; Eileen S. Vergino

294

The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes Hydrology and Earth System Sciences, 6(1), 8599 (2002) EGS  

E-Print Network [OSTI]

, turbulent heat flux, evaporation, remote sensing Introduction The estimation of atmospheric turbulent fluxes because of the heterogeneity of land surfaces and the dynamic nature of heat transfer processes. Remote be represented by point measurements only. Methods using remote sensing information to estimate heat exchange

Paris-Sud XI, Université de

295

PVWatts | Department of Energy  

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

Calculator estimates the energy production and cost of energy of grid-connected photovoltaic (PV) energy systems throughout the world. It allows homeowners, small building...

296

Energy Efficient Distributed Data Fusion In Multihop Wireless Sensor Networks  

E-Print Network [OSTI]

energy cost of consensus estimation with that of progressive estimation under the same sensor constellation and

Huang, Yi

2010-01-01T23:59:59.000Z

297

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad...

298

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 Journals Connector (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. O’Connor; Anthony J. Illingworth; Ian M. Brooks; Christopher D. Westbrook; Robin J. Hogan; Fay Davies; Barbara J. Brooks

2010-10-01T23:59:59.000Z

299

Estimates of the image quality and the radiation dose for head and abdomen phantom image acquisition by using dual-energy CT  

Science Journals Connector (OSTI)

Using dual-energy computed tomography (CT) scans, we obtained ... data set by using low- and high-energy scans (usually 80 and 140 kV, ... and the abdomen examinations were performed using single-energy (120 kV) ...

Dae-Hong Kim; Hee-Joung Kim; Chang-Lae Lee…

2012-04-01T23:59:59.000Z

300

Energy  

Science Journals Connector (OSTI)

Energy ... “Scientific Challenges in Sustainable Energy Technology,” by Nathan S. Lewis of the California Institute of Technology, summarizes data on energy resources and analyses the implications for human society. ... ConfChem Conference on Educating the Next Generation: Green and Sustainable Chemistry—Solar Energy: A Chemistry Course on Sustainability for General Science Education and Quantitative Reasoning ...

John W. Moore

2008-07-01T23:59:59.000Z

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.


301

Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data  

Science Journals Connector (OSTI)

Abstract Currently there is a strong policy commitment in European Union (EU) and Organisation for Economic Co-operation and Development (OECD) countries to increase the energy efficiency of residential buildings, and it is widely assumed that this will naturally and automatically reduce domestic energy consumption. However, other factors such as fuel prices, wages, attitudes and lifestyles also influence energy consumption. This paper calculates broad-brush rebound effects based on changes in energy efficiency and energy consumption in each of the 28 EU countries plus Norway, for the years 2000–2011. In doing so, it tests how well the assumption of energy efficiency leading to energy reduction stands up to scrutiny in these lands. It uses the EU’s Odyssee database for efficiency and consumption figures and a commonly employed econometric definition of the rebound effect as an energy-efficiency elasticity. Most older EU lands show rebound effects in the expected range of 0–50%. However, the range for newer EU countries is 100–550%, suggesting that energy efficiency increases are not a good predictor of energy consumption. A more in-depth look at one country, Germany, suggests these results underestimate the rebound effect significantly. This also identifies research needs for specific energy consumption determinants in each country, to find more precisely what is driving consumption levels.

Ray Galvin

2014-01-01T23:59:59.000Z

302

Summary of Information and Resources Related to Energy Use in Healthcare Facilities - Version 1  

E-Print Network [OSTI]

Figure 3. Estimated site energy intensity and floor space of4. Estimated source energy intensity of selected Californiasite energy and energy intensity (energy use per square foot

Singer, Brett C.

2010-01-01T23:59:59.000Z

303

PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation  

E-Print Network [OSTI]

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J and renewable energy research, including advanced batteries, under the American Recovery and Rein- vestment Act

Krstic, Miroslav

304

Quality Guidline for Cost Estimation Methodology for NETL Assessments...  

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

Energy Technology Laboratory Office of Program Performance and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011...

305

Energy  

Gasoline and Diesel Fuel Update (EIA)

Federal, State, local, and foreign governments, EIA survey respondents, and the media. For further information, and for answers to questions on energy statistics, please...

306

Energy  

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

307

On the energy characteristics of ball lightning  

Science Journals Connector (OSTI)

...along with estimates of their energy content. These observations were chosen...along with estimates of their energy content. These observations were chosen...along with estimates of their energy content. These observations were chosen...

2002-01-01T23:59:59.000Z

308

IMPROVING ENERGY EFFICIENCY AND REDUCING COSTS IN THE DRINKING WATER SUPPLY INDUSTRY: An ENERGY STAR Resource Guide for Energy and Plant Managers  

E-Print Network [OSTI]

develop estimates of energy and cost savings for upgradesdevelop estimates of energy and cost savings for upgradescalculate potential energy and cost savings. Target Group:

Brown, Moya Melody, Camilla Dunham Whitehead, Rich

2011-01-01T23:59:59.000Z

309

Energy Efficiency Indicators Methodology Booklet  

E-Print Network [OSTI]

in shaping total energy consumption. These changes may bethe reduction of total energy consumption is not due toimprovements on the total energy consumption is estimated by

Sathaye, Jayant

2010-01-01T23:59:59.000Z

310

Estimates of US biofuels consumption, 1990  

SciTech Connect (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

311

Guidance on Utility Rate Estimations and Weather Normalization in an ESPC  

Broader source: Energy.gov [DOE]

Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's) payments under a Federal energy savings performance contract (ESPC).

312

Estimates of the cosmic gamma-ray flux at PeV to EeV energies from the EAS-MSU experiment data  

E-Print Network [OSTI]

Archival EAS-MSU data are searched for anomalous muonless events which may be caused by primary gamma rays with energies between 10^15 eV and 10^18 eV. We consider a refined sample of high-quality data and confirm the previously reported detection of a non-zero gamma-ray flux at ~5x10^16 eV with a similar flux value but at somewhat lower statistical significance, corresponding to the depletion of the sample. We present upper limits on the flux below and above these energies, including the first constraints in the range (10^17-10^18) eV never studied by any other experiment.

Fomin, Yu A; Kulikov, G V; Sulakov, V P; Troitsky, S V

2014-01-01T23:59:59.000Z

313

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

SciTech Connect (OSTI)

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

314

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

315

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 ,"'

316

Evaluation of prediction equations to estimate gross, digestible, and metabolizable energy content of maize dried distillers grains with solubles (DDGS) for swine based on chemical composition  

Science Journals Connector (OSTI)

Abstract The objective of this study was to cross-validate prediction equations to estimate the concentration of GE, DE, and ME among sources of corn distillers dried grains with solubles (DDGS) with variable chemical composition in growing pigs. Published concentrations (DM basis) of GE, CP, ether extract (EE), NDF, and total dietary fiber (TDF) along with particle size (PS, ?m), bulk density (BD, g/cm3) and in vivo determinations of DE and ME from 45 sources of DDGS samples were obtained from 5 published studies. Prediction equations for GE (5 equations), DE (20 equations), and ME (19 equations) from published studies were used to calculate the concentration of GE, DE, and ME among DDGS sources and compare with experimentally determined in vivo values. Each equation was evaluated using the entire data set, and data sets that excluded data from which the equation was developed (cross-validation). Equations were compared for their overall explanation of variance (R2), precision for reduction in prediction error (PE, kcal/kg DM), and accuracy in deviation of the predicted mean from the overall observed mean (bias, kcal/kg DM). Prediction of GE concentrations among DDGS sources was poor (PE  150) despite moderate explanation of overall variance (R2 < 0.6). Therefore, we tested DE and ME equations that included GE as an input using the actual analyzed GE concentration of samples. Under this condition, the most precise (PE = 144) and accurate (bias = 19) DE equation was DE = ?2,161 + (1.39 × GE) ? (20.7 × NDF) ? (49.3 × EE). The most precise (PE = 149) and accurate (bias = ?82) ME equation was ME = ?261 + (1.05 × GE) ? (7.89 × CP) + (2.47 × NDF) ? (4.99 × EE). Predicting GE with equation GE = 4,583 + (50.6 × EE) ? (0.1 × PS), and using this estimate in the equation of ME = ?261 + (1.05 × GE) ? (7.89 × CP) + (2.47 × NDF) ? (4.99 × EE), resulted in moderate precision (PE = 134) and accuracy (bias = 48). Cross-validation of equations that require PS, BD, or TDF as inputs was not possible because these inputs were only measured in 1 of the 5 published studies used in this evaluation.

P.E. Urriola; M. Li; B.J. Kerr; G.C. Shurson

2014-01-01T23:59:59.000Z

317

Estimating Motor Efficiency in the Field  

Broader source: Energy.gov [DOE]

Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency.

318

5 SAMPLING TO ESTIMATE SPATIAL PATTERN  

Science Journals Connector (OSTI)

......be chosen to average out uninformative...range over their home territory and...pooled before consumption and thus reflect...estimation of average, maximum or...in a specific energy window, which...estimate the average over the entire...exposure via milk consumption of radionuclides......

5 SAMPLING TO ESTIMATE SPATIAL PATTERN

2006-06-01T23:59:59.000Z

319

Cost Estimation Package  

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

This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

1997-03-28T23:59:59.000Z

320

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

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

Estimated Cost Description Determination Date:  

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

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

322

Check Estimates and Independent Costs  

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

Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

1997-03-28T23:59:59.000Z

323

A priori estimates for relativistic liquid bodies  

E-Print Network [OSTI]

We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

324

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

325

Types of Cost Estimates  

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

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

326

External Dose Estimates from  

E-Print Network [OSTI]

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

327

External Dose Estimates from  

E-Print Network [OSTI]

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

328

Open Energy Information Systems (OpenEIS) | Department of Energy  

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

3.4 quads total energy use. LBNL estimates that, based on Commercial Buildings Energy Consumption Survey (CBECS) data, and assuming 15% average savings, adoption of analytics...

329

Information Resources | Department of Energy  

Energy Savers [EERE]

to enter their own input values to estimate energy and cost savings for energy-efficient products. EnergyPlus: The EnergyPlus Simulation Program helps building designers and...

330

Water Heating | Department of Energy  

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

to cut your water heating bill. Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy efficiency is determined by the energy...

331

Household Vehicles Energy Consumption 1991  

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

homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for...

332

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...

333

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

commercial and residential buildings, appliances and equipment, and the vali- dation of computational tools for estimating energy usage.

Wall, L.W.

2009-01-01T23:59:59.000Z

334

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.

335

EART 265 Lecture Notes: Energy Energy Usage  

E-Print Network [OSTI]

is generated using fossil fuels. Nuclear, biomass and hydroelectric make up most of the rest. Fossil fuels? Hydroelectric Energy Estimate this country's total potential hydroelectric energy production. What fraction

Nimmo, Francis

336

Estimating Energy Savings in Compressed Air Systems  

E-Print Network [OSTI]

draw of the compressor was measured over a 4.5 hour interval during production. Based on the rated full load amps from the compressor nameplate, the full-load power (FLP) was calculated to be 52 kW. The no-load power draw (NLP1) of the compressor... for this compressor in load/unload control was: During the first seven hours, the #4 compressor was run in modulation control and then was switched to run in load/unload control with auto shutoff during the second seven hours. Compressors #1, #2 and #3 remained...

Schmidt, C.; Kissock, J. K.

2004-01-01T23:59:59.000Z

337

Home Energy Yardstick : ENERGY STAR  

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

338

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

339

Renewable Energy Technologies | Department of Energy  

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

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

340

Introduction Estimation paramtrique (exemples)  

E-Print Network [OSTI]

Introduction Estimation paramétrique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation paramétrique (exemples de paramètres de synchronisation (VDSL 2) J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 2

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

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

342

Estimating Specialty Costs  

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

Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

1997-03-28T23:59:59.000Z

343

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.

344

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

E-Print Network [OSTI]

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

Bolinger, Mark

2014-01-01T23:59:59.000Z

345

Energy Demand and Supply  

Science Journals Connector (OSTI)

The world consumption of primary energy has been on the increase ever since the Industrial Revolution . The energy consumption in 1860 is estimated to have ... particularly marked since WWII when the sources of primary

Kimio Uno

1995-01-01T23:59:59.000Z

346

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

347

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

348

Energy Blog | Department of Energy  

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

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

349

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

350

Cost Estimating Guide  

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

This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

2011-05-09T23:59:59.000Z

351

: Helmholtz machine estimation .  

E-Print Network [OSTI]

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

352

Development of Geologic Storage Estimates for Carbon Dioxide  

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

353

Developing Information on Energy Savings and Associated Costs and Benefits of Energy Efficient Emerging Technologies Applicable in California  

E-Print Network [OSTI]

global glass production ([GMIC], 2004). It is an energy- intensive industry with an estimated annual primary

Xu, Tengfang

2011-01-01T23:59:59.000Z

354

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS  

E-Print Network [OSTI]

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS G. C. Papanicolaoua, K. Solnab and D, University of Utah, Salt Lake City, UT 84112 cPhillips Laboratory, Kirtland AFB, NM 87117 ABSTRACT We present of the detail coe cients at scale j. The spectrum can therefore be interpreted as representing the energy

Papanicolaou, George C.

355

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

356

Table C2. Energy Consumption Estimates for Major Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

in Physical Units, 2012 State Coal Natural Gas a Petroleum Nuclear Electric Power Hydro- electric Power f Fuel Ethanol g Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d...

357

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

358

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400 TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 2–4 W m?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1 W m?2 at wind farm scales larger than about 100 km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

359

Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network [OSTI]

1995). Estimating the Net Energy Balance of Corn Ethanol. Anfood industry. After corn, energy is the second largestManufacturing Processes and Energy Use Corn wet milling is

Galitsky, Christina; Worrell, Ernst; Ruth, Michael

2003-01-01T23:59:59.000Z

360

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

Not Available

1994-12-01T23:59:59.000Z

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.


361

NETL: News Release - DOE Estimates Future Freshwater Needs to Meet  

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

362

Energy Sources | Department of Energy  

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

April 21, 2011 April 21, 2011 Los Alamos County Completes Abiquiu Hydropower Project, Bringing New Clean Energy Resources to New Mexico Secretary Chu Highlights Completion of the Department of Energy's First Recovery Act-Funded Hydropower Project April 18, 2011 Department of Energy Offers $2.1 Billion Conditional Commitment Loan Guarantee to Support California Solar Thermal Power Plant California Solar Project Estimated to Create Over 1,000 Jobs and Avoid Over 710,000 Tons of Carbon Dioxide Annually April 15, 2011 Dr. Peter B. Lyons Confirmed as Assistant Secretary for Nuclear Energy Washington, D.C. - Dr. Peter B. Lyons was confirmed by the Senate on Thursday, April 14, as the Department of Energy's Assistant Secretary for Nuclear Energy. April 15, 2011 U.S. Departments of Agriculture and Energy Announce Funding for Biomass

363

Energy Sources | Department of Energy  

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

February 17, 2011 February 17, 2011 Department of Energy Offers Support for an Oregon Solar Manufacturing Project Project Estimated to Create Over 700 Jobs and Greater Efficiencies in the Production of Photovoltaic Panels February 4, 2011 Chu, Salazar to Announce Major Offshore Wind Energy Initiatives NORFOLK,VA - On Monday, February 7, 2011 Energy Secretary Steven Chu and Secretary of the Interior Ken Salazar will announce major new initiatives to accelerate the responsible siting and development of offshore wind energy projects. January 24, 2011 Departments of Energy and Commerce Announce New Partnership to Further Cooperation on Renewable Energy Modeling and Forecasting WASHINGTON - The Department of Energy and the Department of Commerce today announced a new agreement to further collaboration between the agencies on

364

Weekly Coal Production Estimation Methodology  

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

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

365

REQUESTS FOR RETIREMENT ESTIMATE  

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

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

366

ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining Processes  

Broader source: Energy.gov [DOE]

This energy bandwidth analysis provides a realistic estimate of the energy that may be saved in petroleum refining processes by quantifying measures of energy consumption.

367

Opening of the Cheniere Energy Sabine Pass LNG Regasification...  

Energy Savers [EERE]

to foster global economic growth means the world needs more energy. The International Energy Agency estimates primary world energy needs will grow by 55 percent by 2030. And,...

368

PROCEEDINGS OF 1976 SUMMER WORKSHOP ON AN ENERGY EXTENSION SERVICE  

E-Print Network [OSTI]

have begun work on "energy audits" and on estimates of howsignificant advances in Energy Audit programs and haveand dollar savings. Energy audits are an important facet of

Authors, Various

2010-01-01T23:59:59.000Z

369

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

global and country-specific estimates of total energyglobal and country-specific estimates of total energytotal global electricity consumption is about 5,000 TWh 68 , the energy

Park, Won Young

2011-01-01T23:59:59.000Z

370

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

371

Marginal Energy Prices- RECS97 Update  

Broader source: Energy.gov [DOE]

An updated estimation of residential marginal energy prices at the individual house level using the 1997 RECS survey data

372

The Integration of Energy Efficiency, Renewable Energy, Demand Response and Climate Change: Challenges and Opportunities for Evaluators and Planners  

E-Print Network [OSTI]

to inform projected energy and demand reductions in regionaldown to reflect energy and demand savings due to spillover (market and estimate the energy and demand savings associated

Vine, Edward

2007-01-01T23:59:59.000Z

373

Assessment of Energy Efficiency Improvement and CO2 Emission Reduction Potentials in India's Cement Industry  

E-Print Network [OSTI]

2009). However, the penetration rates of energy efficientlevel estimates for the penetration rates of measures withinBased on estimates of penetration rate of energy efficiency

Morrow III, William R.

2014-01-01T23:59:59.000Z

374

Tips: Appliances | Department of Energy  

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

about 11,280 kWh per year, costing an average of 1,340 annually. Learn More Estimating Home Electricity Use Energy-Efficient Computer Use Addthis Related Articles Estimate the...

375

Guidelines for Estimating Unmetered Industrial Water Use  

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

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

376

Guidelines for Estimating Unmetered Industrial Water Use  

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

377

Estimating SCR installation costs  

SciTech Connect (OSTI)

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

378

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

379

A Priori Error Estimates for Some Discontinuous Galerkin Immersed ...  

E-Print Network [OSTI]

estimate in a mesh-dependant energy norm is derived, and this error ... 0 (Th), integrate both sides on each element K ? Th, and apply the Green's formula to.

2015-01-12T23:59:59.000Z

380

Energy Expenditures | OpenEI  

Open Energy Info (EERE)

Expenditures Expenditures Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

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

energy prices | OpenEI  

Open Energy Info (EERE)

prices prices Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

382

Resource Optimization in a Wireless Sensor Network with Guaranteed Estimator  

E-Print Network [OSTI]

algorithm at the fusion center, and provide a closed-form expression for the steady-state error covariance energy consumption and guarantees a desired level of estimation quality at the fusion center. We further a single sensor may not be enough to provide a desired level of estimation quality, and data fusion from

Murray, Richard M.

383

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates  

SciTech Connect (OSTI)

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01T23:59:59.000Z

384

Fact #663: February 21, 2011 Clean Cities Program Petroleum Displacement Estimates for 2009  

Broader source: Energy.gov [DOE]

Each year, estimates are made of the amount of petroleum that is displaced by the efforts of the U.S. Department of Energy's Clean Cities Program. These estimates are based on data provided by...

385

Buildings GHG Mitigation Estimator Worksheet, Version 1 | Department of  

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

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

386

Use of Cost Estimating Relationships  

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

Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

1997-03-28T23:59:59.000Z

387

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

388

Los Alamos PC estimating system  

SciTech Connect (OSTI)

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

389

NPP Estimation for Grasslands  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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?"

390

ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 | Department of  

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

ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 October 1, 2013 - 2:09pm Addthis ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 In 2013 the program operated above the 6 year average and 6 year high, and participation increased by adding 13 new program locations. Southeastern Power Administration and its partners conducted 32 training events which directly impacted 855 trainees, and our outreach efforts promoted energy efficiency and renewable energy to an estimated 3505

391

ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 | Department of  

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

ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 October 1, 2013 - 2:09pm Addthis ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 ENERGY EFFICIENCY AND RENEWABLE ENERGY REPORT - FY 2013 In 2013 the program operated above the 6 year average and 6 year high, and participation increased by adding 13 new program locations. Southeastern Power Administration and its partners conducted 32 training events which directly impacted 855 trainees, and our outreach efforts promoted energy efficiency and renewable energy to an estimated 3505

392

Quantum limits to estimation of photon deformation  

E-Print Network [OSTI]

We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

393

U.S. Energy Information Administration | State Energy Data 2013...  

Gasoline and Diesel Fuel Update (EIA)

energy sources reported in SEDS include estimates of wood and waste in all sectors, hydroelectric power in the industrial and commercial sectors, and the electric power sector's...

394

Solar Heating System Estimating  

Science Journals Connector (OSTI)

The Canadian Federal Government has embarked on a S$225,000,000.00 programme to help develop solar energy in Canada. The programme is being handled by the ... of the federal government who will be installing solar

Don Hampton

1983-01-01T23:59:59.000Z

395

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants  

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

Updated Capital Cost Estimates Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

396

STATE OF CALIFORNIA -NATURAL RESOURCES AGENCY CALIFORNIA ENERGY COMMISSION  

E-Print Network [OSTI]

Plan; the Renewables Portfolio Standard; estimates of energy efficiency savings potential Integrated Energy Policy Report Update ) Docket No. 12-IEP-1 ) ) ) 2012 Integrated Energy Policy Report Update Seoping Order In this order, the California Energy Commission's Integrated Energy Policy Report

397

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 any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

398

Monthly Energy Review - April 2003  

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

Background The Energy Information Administration (EIA) has compre- hensively reviewed and revised how it collects, estimates, and reports fuel use for facilities producing...

399

Estimating Equivalency of Explosives Through A Thermochemical Approach  

SciTech Connect (OSTI)

The Cheetah thermochemical computer code provides an accurate method for estimating the TNT equivalency of any explosive, evaluated either with respect to peak pressure or the quasi-static pressure at long time in a confined volume. Cheetah calculates the detonation energy and heat of combustion for virtually any explosive (pure or formulation). Comparing the detonation energy for an explosive with that of TNT allows estimation of the TNT equivalency with respect to peak pressure, while comparison of the heat of combustion allows estimation of TNT equivalency with respect to quasi-static pressure. We discuss the methodology, present results for many explosives, and show comparisons with equivalency data from other sources.

Maienschein, J L

2002-07-08T23:59:59.000Z

400

ITP Steel: Steel Industry Energy Bandwidth Study October 2004  

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

hot rolling As shown in Table 1, both Fruehan and Stubbles estimated current process energy intensity. Fruehan's estimates reflect an overall industry average, while Stubbles'...

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

Flash Estimate July 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: May 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

402

Flash Estimate August 2005 Final.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: June 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

403

Chapter 17: Estimating Net Savings: Common Practices  

SciTech Connect (OSTI)

This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

Violette, D. M.; Rathbun, P.

2014-09-01T23:59:59.000Z

404

Fossil Energy Today | Department of Energy  

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

Blog » Fossil Energy Today Blog » Fossil Energy Today Fossil Energy Today Fossil Energy Today - a free, quarterly newsletter published by the Office of Fossil Energy Fossil Energy Today - launched in January 2011 - is a free digital newsletter published quarterly by the U.S. Department of Energy's Office of Fossil Energy. Fossil Energy Today provides you with updates on important activities, progress and other developments within Fossil Energy. To subscribe, please send us an email. Issues Available for Download January 22, 2013 Fossil Energy Today - First Quarter, 2013 Here are just some of the stories featured in this issue: Carbon Storage Partner Completes First Year of CO2 Injection; Atlas Estimates 2,400 Billion Metric Tons of U.S. CO2 Storage Resource; CCUS Projects Making

405

Estimates of Embodied Global Energy and Air-Emission Intensities of Japanese Products for Building a Japanese Input–Output Life Cycle Assessment Database with a Global System Boundary  

Science Journals Connector (OSTI)

To build a life cycle assessment (LCA) database of Japanese products embracing their global supply chains in a manner requiring lower time and labor burdens, this study estimates the intensity of embodied global environmental burden for commodities produced in Japan. ... This sector is followed by several food- and agriculture-related sectors such as seeds and seedlings (JD11) (?57%), flour and other grain mill products (JD47) (?52%), timber (JD90) (?52%), and Feeds (JD72) (?51%). ...

Keisuke Nansai; Yasushi Kondo; Shigemi Kagawa; Sangwon Suh; Kenichi Nakajima; Rokuta Inaba; Susumu Tohno

2012-08-10T23:59:59.000Z

406

State energy price and expenditure report 1994  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

NONE

1997-06-01T23:59:59.000Z

407

CALIFORNIA ENERGY CALIFORNIA ENERGY DEMAND 2010-2020  

E-Print Network [OSTI]

prepared the industrial forecast. Mark Ciminelli forecasted energy for transportation, communication developed the energy efficiency program estimates. Glen Sharp prepared the residential sector forecast ................................................................................................................... 2 EndUser Natural Gas Forecast Results

408

Parameter Estimation Through Ignorance  

E-Print Network [OSTI]

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

409

THE INTEGRATION MODELING FRAMEWORK FOR ESTIMATING MOBILE SOURCE EMISSIONS  

E-Print Network [OSTI]

@vt.edu. #12;Rakha and Ahn 2 the environmental impacts of ITS alternatives. The model combines car dynamics. Consequently, the assessment of the energy and emission impacts of alternative investments can-following, vehicle dynamics, lane changing, energy, and emission models to estimate mobile source emissions directly

Rakha, Hesham A.

410

Market Challenges | Department of Energy  

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

lighting energy use and slash greenhouse-gas emissions. DOE estimates that switching to LED lighting over the next 20 years could save 250 billion in energy costs over that...

411

Storage of Solar Thermal Energy  

Science Journals Connector (OSTI)

It is estimated that, at the present rate of consumption of (readily available stored energy in) fossil fuels, the world’s ... world are in search of new and renewable energy sources. Developing efficient and ine...

S. Kakaç; E. Paykoç; Y. Yener

1989-01-01T23:59:59.000Z

412

Simplified Approach for Estimating Impacts of Electricity Generation  

Open Energy Info (EERE)

Simplified Approach for Estimating Impacts of Electricity Generation Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Jump to: navigation, search Tool Summary Name: Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Agriculture, Energy Efficiency, Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, - Health Resource Type: Software/modeling tools Complexity/Ease of Use: Advanced Website: www.iaea.org/OurWork/ST/NE/Pess/PESSenergymodels.shtml References: Overview of IAEA PESS Models [1] Related Tools DNE21+ Integrated Global System Modeling Framework Prospective Outlook on Long-Term Energy Systems (POLES) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS

413

Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review  

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

Hydrogen Production Cost Estimate Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen and Fuel Cells Program NREL/BK-6A10-51726 October 2011 NOTICE 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 any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

414

Estimate Costs to Implement Greenhouse Gas Mitigation Strategies Using  

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

Costs to Implement Greenhouse Gas Mitigation Strategies Costs to Implement Greenhouse Gas Mitigation Strategies Using Renewable Energy in Buildings Estimate Costs to Implement Greenhouse Gas Mitigation Strategies Using Renewable Energy in Buildings October 7, 2013 - 11:25am Addthis After determining the best greenhouse gas (GHG) reduction strategies using renewable energy, a Federal agency should estimate the cost of implementing them in a building or buildings. There are several cost factors that need to be considered when developing a renewable energy project. Capital costs, fixed and variable operations and maintenance (O&M) costs and in the case of biomass and waste-to-energy projects, fuel costs all contribute to the total cost of operating a renewable energy system. The levelized system cost takes into account these

415

Residential Photovoltaic Energy Systems in California: The Effect on Home Sales Prices  

E-Print Network [OSTI]

ABSTRACT Relatively little research exists estimating the marginal impacts of photovoltaic (PV) energy

Hoen, Ben

2014-01-01T23:59:59.000Z

416

Earth's Global Energy Budget  

Science Journals Connector (OSTI)

An update is provided on the Earth's global annual mean energy budget in the light of new observations and analyses. In 1997, Kiehl and Trenberth provided a review of past estimates and performed a number of radiative computations to better ...

Kevin E. Trenberth; John T. Fasullo; Jeffrey Kiehl

2009-03-01T23:59:59.000Z

417

Cost Estimating, Analysis, and Standardization  

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

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

1984-11-02T23:59:59.000Z

418

Embodied Energy and Off-Grid Lighting  

E-Print Network [OSTI]

Solar LED Task Light Embodied Energy We estimated theTable 1: Embodied energy in LED task lights and chargingLED lights that we evaluated, indicating that the energy

Alstone, Peter

2012-01-01T23:59:59.000Z

419

Alliant Energy Interstate Power and Light - Residential Renewable Energy  

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

Alliant Energy Interstate Power and Light - Residential Renewable Alliant Energy Interstate Power and Light - Residential Renewable Energy Rebates Alliant Energy Interstate Power and Light - Residential Renewable Energy Rebates < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Wind Maximum Rebate Solar Thermal Water Heater: $750 Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Energy Efficient Solar PV: $1.25/kWh x estimated first year output Standard Solar PV: $0.75/kWh x estimated first year output Energy Efficient Wind: $0.75/kWh x estimated first year output Standard Wind: 0.25/kWh x estimated first year output Solar Thermal Water Heater (electric): $0.35 x annual kWh savings Solar Thermal Water Heater (natural gas): $2.50 x annual therm savings

420

Building Energy Software Tools Directory: EnergyPeriscope  

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

EnergyPeriscope EnergyPeriscope Logo for EnergyPeriscope EnergyPeriscope is a professional-level performance estimating and financial analysis engine. Use it to create financial performance reports for single- or multiple-technology energy solutions. EnergyPeriscope accommodates retrofit applications, new construction buildings, and "Energy Farms" for selling PV- or wind-generated electricity. Model PV, solar water heating, solar pool/spa heating, solar hydronic radiant floor systems, wind turbines and energy efficiency projects. Screen Shots Keywords Renewable energy performance analysis, financial analysis, sales proposals Validation/Testing Data results were validated against RETScreen, PVWatts and other energy analysis tools. Reports are available. Expertise Required

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

Energy Blog | Department of Energy  

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

21, 2010 21, 2010 What Was Your Surprising Energy-Saving Discovery? On Monday, Amy told you how her dog, Matilda, revealed that they were losing a lot of heated air from ducts damaged by a sleepy cat. January 20, 2010 Ohio Town Installing 'Green' Traffic Signals Elyria makes the move to efficient lighting. The town has decided to start replacing traffic lights with energy-efficient LEDs. January 20, 2010 New York Town Gets Block Grant at 'Perfect' Time The town estimates the savings from energy-efficient facility upgrades will add up to $447,547 in just 15 years. January 19, 2010 Tax Credits Might Be Your Ticket to Savings Another way to cash in on big savings is by grabbing onto the energy efficiency tax credits. January 18, 2010 Our Dog Discovered Our Ducts Have Cats

422

State energy price and expenditure report, 1995  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

NONE

1998-08-01T23:59:59.000Z

423

OpenEI - Energy Expenditures  

Open Energy Info (EERE)

State Energy Data State Energy Data System (SEDS) Complete Dataset through 2009 http://en.openei.org/datasets/node/883 The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates.

License
Type of

424

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Estimation of Energy End-use Consumption Estimation of Energy End-use Consumption 2003 CBECS The energy end-use consumption tables for 2003 (Detailed Tables E1-E11 and E1A-E11A) provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, personal computers, office equipment (including servers), and other uses. Although details vary by energy source (Table 1), there are four basic steps in the end-use estimation process: Regressions of monthly consumption on degree-days to establish reference temperatures for the engineering models, Engineering modeling by end use, Cross-sectional regressions to calibrate the engineering estimates and account for additional energy uses, and

425

State energy data | OpenEI  

Open Energy Info (EERE)

0 0 Varnish cache server State energy data Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

426

Global Potential of Energy Efficiency Standards and Labeling Programs  

E-Print Network [OSTI]

report estimates the global potential reductions in greenhouse gas emissions by 2030 for energy efficiencyreport estimates the global potential reductions in greenhouse gas emissions by 2030 for energy efficiency

McNeil, Michael A

2008-01-01T23:59:59.000Z

427

Energy Efficiency Improvement Opportunities for the Cement Industry  

E-Print Network [OSTI]

and energy savings per tonne of cement produced are estimated and then carbon dioxide emissionsand energy savings per tonne of cement produced are estimated and then carbon dioxide emissions

Worrell, Ernst

2008-01-01T23:59:59.000Z

428

Challenges for Long-Term Energy Models: Modeling Energy Use and Energy Efficiency  

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

Long-Term Energy Models: Long-Term Energy Models: Modeling Energy Use and Energy Efficiency James Sweeney Stanford University Director, Precourt Institute for Energy Efficiency Professor, Management Science and Engineering Presentation to EIA 2008 Energy Conference 34 ! Years of Energy Information and Analysis Some Modeling History * Original Federal Energy Administration Demand Models in PIES and IEES (1974) - Residential, Industrial, Commercial Sectors * Econometric models * Dynamic specification * Allowed matrix of own-elasticities and cross- elasticities of demand for PIES and IEES - Electricity, Natural Gas, Oil, Coal - Designed to examine implications of changes in energy prices, taxes, price regulation - For analysis of "energy conservation" options, estimate of direct impacts used as reduction of

429

Monthly energy review, August 1995  

SciTech Connect (OSTI)

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

NONE

1995-08-24T23:59:59.000Z

430

Estimating demolition cost of plutonium buildings for dummies  

SciTech Connect (OSTI)

The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

Tower, S.E.

2000-07-01T23:59:59.000Z

431

Energy and Greenhouse Gas Emissions in China: Growth, Transition, and Institutional Change  

E-Print Network [OSTI]

estimates of total energy consumption. A small percentage (residential share of total energy consumption was only 8% inof ferrous metals in total energy consumption increased from

Kahrl, Fredrich James

2011-01-01T23:59:59.000Z

432

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network [OSTI]

about half of the total energy consumption from Wii consolescan estimate total national energy consumption due to videoof on mode energy consumption to the total AEC. For most

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

433

Open Energy Information Systems (OpenEIS) - 2014 Peer Review...  

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

3.4 quads total energy use. LBNL estimates that, based on Commercial Buildings Energy Consumption Survey (CBECS) data, and assuming 15% average savings, adoption of analytics...

434

Innovative System and Method for Monitoring Energy Efficiency in Buildings  

Science Journals Connector (OSTI)

Improving energy efficiency (EE) in buildings may significantly reduce...@lisee, for achieving energy efficiency in buildings (households, officies, campus, data centers, etc. ... devices, locally estimating indo...

Grazia Fattoruso; Saverio De Vito; Ciro Di Palma; Girolamo Di Francia

2014-01-01T23:59:59.000Z

435

Managing R&D Risk in Renewable Energy  

E-Print Network [OSTI]

estimated costs of renewable energy production of potentialreduction. Production cost reductions in renewable energyproduction (DOE (2008)). Table 3: Federal Renewable Energy

Rausser, Gordon C.; Papineau, Maya

2008-01-01T23:59:59.000Z

436

Global Potential of Energy Efficiency Standards and Labeling Programs  

E-Print Network [OSTI]

represents 11% of total global primary energy (Price ettotal of 14 Gt, which is 54 percent of the total estimated global energy-

McNeil, Michael A

2008-01-01T23:59:59.000Z

437

Mapping and Assessment of the United States Ocean Wave Energy...  

Open Energy Info (EERE)

Mapping and Assessment of the United States Ocean Wave Energy Resource This project estimates the naturally available and technically recoverable U.S. wave energy resources, using...

438

Who's In The Dark: Satellite Based Estimates Of Electrification Rates  

SciTech Connect (OSTI)

A technique has been developed to estimate the percent population having electric power access based on the presence of satellite detected nighttime lighting. A global survey was conducted for the year 2006 using nighttime lights collected by the U.S. Air Force Defense Meteorological Satellite Program (DMSP) in combination with the U.S. Department of Energy Landscan population dataset. The survey includes results for 229 countries and more than 2000 subnational units. The results are compared to reported electrification rates for 87 countries compiled from a variety of sources by the International Energy Agency. The DMSP derived estimate of number of people worldwide who lack access to electricity is 1.62 billion, only slightly larger than the 1.58 billion estimated by the International Energy Agency.

Elvidge, Christopher D. [NOAA National Geophysical Data Center,; Baugh, Kimberly E. [NOAA National Geophysical Data Center,; Sutton, Paul S. [University of Denver; Bhaduri, Budhendra L [ORNL; Tuttle, Benjamin T. [NOAA National Geophysical Data Center,; Ghosh, Tilottama [University of Denver; Ziskin, Daniel [University of Colorado, Boulder; Erwin, Edward [NOAA National Geophysical Data Center,

2011-01-01T23:59:59.000Z

439

Energy Cost Savings Calculator for Air-Cooled Electric Chillers  

Broader source: Energy.gov [DOE]

This calculator is a screening tool that estimates a product's lifetime energy cost savings at various efficiency levels.

440

Energy and Eigenstate Using First Order Perturbation Theory  

E-Print Network [OSTI]

The first order estimate of energy and eigenstate of a perturbed system are found by summation over its basis.

Raghu Ramachandran; Rama Komaragiri

2009-10-30T23:59:59.000Z

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

Energy data  

Open Energy Info (EERE)

Data.gov Data.gov and Powered by OpenEI.org Data.gov Mashathon 2010: an Energy Mashup A regional mashup of 7 cities with energy information from Data.gov and OpenEI.org Click on a city to view data Census Utility Information Smart Grid Information Incentives Average kWh rate Average household electricity usage Average electricity cost per household Mashup information This mashup was created at the first Data.gov mashathon event, August 24-25, 2010. It was further refined from October 6-8, 2010 by the National Renewable Energy Laboratory. This mashup profiles 7 cities in different parts of the United States that have a population of roughly 600,000 according to the 2000 census data and 2006 census-estimated population. Thanks to: Teammates at the Data.gov Mashathon, including Susan Turnbull, Chris

442

energy production | OpenEI  

Open Energy Info (EERE)

52 52 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278352 Varnish cache server energy production Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown

443

Grid Applications for Energy Storage  

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

Applications for Energy Storage Applications for Energy Storage Flow Cells for Energy Storage Workshop Washington DC 7-8 March 2012 Joe Eto jheto@lbl.gov (510) 486-7284 Referencing a Recent Sandia Study,* This Talk Will: Describe and illustrate selected grid applications for energy storage Time-of-use energy cost management Demand charge management Load following Area Regulation Renewables energy time shift Renewables capacity firming Compare Sandia's estimates of the economic value of these applications to the Electricity Storage Association's estimates of the capital costs of energy storage technologies *Eyer, J. and G. Corey. Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide. February 2010. SAND2010-0815 A Recent Sandia Study Estimates the Economic

444

Examples of Cost Estimation Packages  

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

Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

1997-03-28T23:59:59.000Z

445

5, 30473104, 2005 Estimates of  

E-Print Network [OSTI]

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047­3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Université de

446

Free energy of an anharmonic linear lattice  

Science Journals Connector (OSTI)

The anharmonic contributions of O(?4) to the free energy of a monatomic linear chain have been calculated both at high and zero temperatures. The contributions to the zero-point energy are also estimated using the Ludwig approximation. It turns out that the Ludwig approximation is not good for estimating the complicated anharmonic contributions to the zero-point energy.

M. R. Monga and V. K. Jindal

1975-02-15T23:59:59.000Z

447

Estimating the potential of ocean wave power resources  

Science Journals Connector (OSTI)

The realistic assessment of an ocean wave energy resource that can be converted to an electrical power at various offshore sites depends upon many factors, and these include estimating the resource recognizing the random nature of the site-specific wave field, and optimizing the power conversion from particular wave energy conversion devices. In order to better account for the uncertainty in wave power resource estimates, conditional probability distribution functions of wave power in a given sea-state are derived. Theoretical expressions for the deep and shallow water limits are derived and the role of spectral width is studied. The theoretical model estimates were compared with the statistics obtained from the wave-by-wave analysis of JONSWAP based ocean wave time-series. It was shown that the narrow-band approximation is appropriate when the variability due to wave period is negligible. The application of the short-term models in evaluating the long-term wave power resource at a site was illustrated using wave data measured off the California coast. The final example illustrates the procedure for incorporating the local wave data and the sea-state model together with a wave energy device to obtain an estimate of the potential wave energy that could be converted into a usable energy resource.

Amir H. Izadparast; John M. Niedzwecki

2011-01-01T23:59:59.000Z

448

Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water  

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

Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters June 14, 2012 - 7:38pm Addthis A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. A water heater's energy efficiency is determined by the energy factor (EF), which is based on the amount of hot water produced per unit of fuel consumed over a typical day. The higher the energy factor, the more efficient the water heater. What does this mean for me? Estimate the annual operating costs and compare several water heaters to determine whether it is worth investing in a more efficient

449

State energy price and expenditure report 1989  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

Not Available

1991-09-30T23:59:59.000Z

450

Cost estimate of initial SSC experimental equipment  

SciTech Connect (OSTI)

The cost of the initial detector complement at recently constructed colliding beam facilities (or at those under construction) has been a significant fraction of the cost of the accelerator complex. Because of the complexity of large modern-day detectors, the time-scale for their design and construction is comparable to the time-scale needed for accelerator design and construction. For these reasons it is appropriate to estimate the cost of the anticipated detector complement in parallel with the cost estimates of the collider itself. The fundamental difficulty with this procedure is that, whereas a firm conceptual design of the collider does exist, comparable information is unavailable for the detectors. Traditionally, these have been built by the high energy physics user community according to their perception of the key scientific problems that need to be addressed. The role of the accelerator laboratory in that process has involved technical and managerial coordination and the allocation of running time and local facilities among the proposed experiments. It seems proper that the basic spirit of experimentation reflecting the scientific judgment of the community should be preserved at the SSC. Furthermore, the formal process of initiation of detector proposals can only start once the SSC has been approved as a construction project and a formal laboratory administration put in place. Thus an ad hoc mechanism had to be created to estimate the range of potential detector needs, potential detector costs, and associated computing equipment.

NONE

1986-06-01T23:59:59.000Z

451

Department of Energy Announces More Stringent Energy Efficient Criteria for  

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

More Stringent Energy Efficient More Stringent Energy Efficient Criteria for ENERGY STAR® Dishwashers Department of Energy Announces More Stringent Energy Efficient Criteria for ENERGY STAR® Dishwashers March 2, 2006 - 11:39am Addthis More Efficient Dishwashers Estimated to Save Consumers over $26 Million Annually WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced more stringent energy efficient criteria for dishwashers carrying the ENERGY STAR® label that could save America families more than $26 million a year. The new ENERGY STAR® criteria will also bring tax credits for the production of energy efficient appliances to manufacturers under the Energy Policy Act of 2005 (EPAct 2005). "These new ENERGY STAR® requirements will enable consumers to improve energy efficiency at home while also saving on their electricity bill,"

452

Estimating electron drift velocities in magnetron discharges  

E-Print Network [OSTI]

Energy Efficiency and Renewable Energy, Office of BuildingEnergy Efficiency and Renewable Energy, Office of Building 

Rauch, Albert

2014-01-01T23:59:59.000Z

453

Estimate of federal relighting potential and demand for efficient lighting products  

SciTech Connect (OSTI)

The increasing level of electric utility rebates for energy-efficient lighting retrofits has recently prompted concern over the adequacy of the market supply of energy-efficient lighting products (Energy User News 1991). In support of the U.S. Department of Energy`s Federal Energy Management Program, Pacific Northwest Laboratory (PNL) has developed an estimate of the total potential for energy-efficient lighting retrofits in federally owned buildings. This estimate can be used to address the issue of the impact of federal relighting projects on the supply of energy-efficient lighting products. The estimate was developed in 1992, using 1991 data. Any investments in energy-efficient lighting products that occurred in 1992 will reduce the potential estimated here. This analysis proceeds by estimating the existing stock of lighting fixtures in federally owned buildings. The lighting technology screening matrix is then used to determine the minimum life-cycle cost retrofit for each type of existing lighting fixture. Estimates of the existing stock are developed for (1) four types of fluorescent lighting fixtures (2-, 3-, and 4-lamp, F40 4-foot fixtures, and 2-lamp, F96 8-foot fixtures, all with standard magnetic ballasts); (2) one type of incandescent fixture (a 75-watt single bulb fixture); and (3) one type of exit sign (containing two 20-watt incandescent bulbs). Estimates of the existing stock of lighting fixtures in federally owned buildings, estimates of the total potential demand for energy-efficient lighting products if all cost-effective retrofits were undertaken immediately, and total potential annual energy savings (in MWh and dollars), the total investment required to obtain the energy savings and the present value of the efficiency investment, are presented.

Shankle, S.A.; Dirks, J.A.; Elliott, D.B.; Richman, E.E.; Grover, S.E.

1993-11-01T23:59:59.000Z

454

On the similarity of Information Energy to Dark Energy  

E-Print Network [OSTI]

Information energy is shown here to have properties similar to those of dark energy. The energy associated with each information bit of the universe is found to be defined identically to the characteristic energy of a cosmological constant. Two independent methods are used to estimate the universe information content of ~10^91 bits, a value that provides an information energy total comparable to that of the dark energy. Information energy is also found to have a significantly negative equation of state parameter, w energy.

M. P. Gough; T. D. Carozzi; A. M. Buckley

2006-03-03T23:59:59.000Z

455

Guidance on Utility Rate Estimations and Weather Normalization in an ESPC  

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

Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Subject: The use of estimated energy rates 1 and normalized weather 2 data in determining contractor (ESCO) payments under an energy savings performance contract (ESPC). Summary: As explained below, the use of estimated energy rates and normalized weather data is permitted when determining ESCO payments under an ESPC. Authority: The authority for ESPCs is established in the National Energy Conservation Policy Act (NECPA), as amended. (42 U.S.C. 8287 et seq.) Implementing regulations for ESPCs are at 10 CFR Part 436 subpart B. Guidance: Section 801(a)(2)(B) of NECPA requires that "[a]aggregate annual payments by an agency ... may not exceed the amount ... the agency would have paid (as estimated

456

Guidance on Utility Rate Estimations and Weather Normalization in an ESPC  

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

Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Subject: The use of estimated energy rates 1 and normalized weather 2 data in determining contractor (ESCO) payments under an energy savings performance contract (ESPC). Summary: As explained below, the use of estimated energy rates and normalized weather data is permitted when determining ESCO payments under an ESPC. Authority: The authority for ESPCs is established in the National Energy Conservation Policy Act (NECPA), as amended. (42 U.S.C. 8287 et seq.) Implementing regulations for ESPCs are at 10 CFR Part 436 subpart B. Guidance: Section 801(a)(2)(B) of NECPA requires that "[a]aggregate annual payments by an agency ... may not exceed the amount ... the agency would have paid (as estimated

457

Nitrided Metallic Bipolar Plates | Department of Energy  

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

Bipolar Plates High Performance, Low Cost Hydrogen Generation from Renewable Energy Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application...

458

Systems Advisor Model | Department of Energy  

Energy Savers [EERE]

Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on...

459

State energy price and expenditure report 1991  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

Not Available

1993-09-01T23:59:59.000Z

460

Iceland Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Iceland Geothermal Region Energy Generation Facilities within the Iceland Geothermal Region...

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

" Row: NAICS Codes; Column: Energy Sources...  

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

"to other energy products (e.g., crude oil converted to residual and distillate" "fuel oils) are excluded." " NFNo applicable RSE rowcolumn factor." " * Estimate less...

462

Audit Report: IG-0849 | Department of Energy  

Office of Environmental Management (EM)

for renewable energy systems, electric transmission systems and leading edge biofuels projects. The Department estimates that the Program, one of the largest of its kind...

463

Austria Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Austria Geothermal Region Energy Generation Facilities within the Austria Geothermal Region...

464

Energy from the Biological Conversion of Solar Energy [and Discussion  

Science Journals Connector (OSTI)

...The average efficiency of solar energy conversion on a global scale is estimated as about 0.15%. The energy content of the annual biomass residues in...about one-quarter of the primary energy use in those countries, but only...

1980-01-01T23:59:59.000Z

465

Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology  

E-Print Network [OSTI]

The reference case penetration rate for high-efficiencyan LBNL estimate of the Energy Star market penetration rate.The initial penetration rate estimate of 15% was assumed,

Sanchez, Marla

2010-01-01T23:59:59.000Z

466

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

467

Indiana Energy Energy Challenges  

E-Print Network [OSTI]

Indiana Energy Conference Energy Challenges And Opportunities November 5, 2013 ­ 9:00 a.m. ­ 5:00 p spectrum of business sectors including: Energy Community Manufacturing Policymakers Finance Engineering of Energy & Water: A Well of Opportunity Our water and energy systems are inextricably linked. Energy

Ginzel, Matthew

468

Matter & Energy Wind Energy  

E-Print Network [OSTI]

See Also: Matter & Energy Wind Energy Energy Technology Physics Nuclear Energy Petroleum 27, 2012) -- Energy flowing from large-scale to small-scale places may be prevented from flowing, indicating that there are energy flows from large to small scale in confined space. Indeed, under a specific

Shepelyansky, Dima

469

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

.S. Energy Consumption U.S. Primary Energy Consumption by Source and Sector Share of Energy Consumed byEnergy Efficiency & Renewable Energy 2010 Fuel Cell Project Kick-off Dr. Dimitrios Papageorgopoulos Fuel Cells Team Leader U.S. Department of Energy gy Fuel Cell Technologies Program September 28

470

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between ± 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical ± range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

471

EIA Energy Efficiency-Commercial Buildings Sector Energy Intensities,  

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

Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities: 1992- 2003 Released Date: December 2004 Page Last Revised: August 2009 These tables provide estimates of commercial sector energy consumption and energy intensities for 1992, 1995, 1999 and 2003 based on the Commercial Buildings Energy Consumption Survey (CBECS). They also provide estimates of energy consumption and intensities adjusted for the effect of weather on heating, cooling, and ventilation energy use. Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF bullet By Principal Building Activity (Table 1a) html Table 1a excel table 1a. pdf table 1a. Weather-Adjusted by Principal Building Activity (Table 1b) html table 1b excel table 1b pdf table 1b.

472

Estimating the cost of large superconducting thin solenoid magnets  

SciTech Connect (OSTI)

The cost of thin superconducting solenoid magnets can be estimated if one knows the magnet stored energy, the magnetic field volume product or the overall mass of the superconducting coil and its cryostat. This report shows cost data collected since 1979 for large superconducting solenoid magnets used in high energy physics. These magnets are characterized in most cases by the use of indirect two phase helium cooling and a superconductor stabilizer of very pure aluminum. This correlation can be used for making a preliminary cost estimate of proposed one of a kind superconducting magnets. The magnet costs quoted include the power supply and quench protection system but the cost of the helium refrigerator and helium distribution system is not included in the estimated cost.

Green, M.A. [Lawrence Berkeley Lab., CA (United States); St. Lorant, S.J. [Stanford Linear Accelerator Center, Menlo Park, CA (United States)

1993-07-01T23:59:59.000Z

473

International Energy Outlook 2006 - Appendix I  

Gasoline and Diesel Fuel Update (EIA)

I I International Energy Outlook 2006 Appendix I: System for the Analysis of Global Energy Markets (SAGE) The projections of world energy consumption appearing in IEO2006 are based on EIAÂ’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. Projections of energy consumption to meet the energy demands are estimated on the basis of each regionÂ’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.

474

Maximum Norm Error Estimators For Three Dimensional Elliptic Problems  

E-Print Network [OSTI]

Bariloche, CNEA, 8400 Bariloche, Rio Negro, Argentina. y Departamento de Matem#19;atica, Facultad de Ciencias Exactas, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina. 1 #12; behaviour of the Green, error estimators for the energy norm for this method were introduced and analyzed in [7, 8, 13, 16]. Our

Duran, Ricardo

475

Near Surface Water Content Estimation using GPR Data  

E-Print Network [OSTI]

waves can be used to estimate soil water content � Short pulses of High frequency EM energy � Variations) Improved irrigation management; 3) Improved understanding of ecosystem responses and terroir; 4) May assist, evapotranspiration, and groundwater storage From Or and Rubin, 1990 ** Accurate Spatial and Temporal Variations

Rubin, Yoram

476

Ring current intensity estimated from low-altitude proton observations  

E-Print Network [OSTI]

. Oksavik Department of Physics, University of Bergen, Bergen, Norway D. S. Evans NOAA Space Environment as a proxy for estimating the energy injection rate into the ring current (RC) due to energetic protons. The injection rate Q(t) is not based upon solar wind parameters but directly on the observed proton

Bergen, Universitetet i

477

AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE  

E-Print Network [OSTI]

. INTRODUCTION Design constraints for wind turbine structures fall into either extreme load or fatigue categoriesAIAA-2001-0047 1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance at Austin, Austin, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque

Sweetman, Bert

478

PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN  

E-Print Network [OSTI]

loads. #12;2 INTRODUCTION Design constraints for wind turbine structures fall into either extreme load1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance Manuel1 Paul S, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque, NM 87185

Sweetman, Bert

479

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

480

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of  

Open Energy Info (EERE)

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Agency/Company /Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Greenhouse Gas Phase: Determine Baseline, Evaluate Effectiveness and Revise as Needed Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.ghgprotocol.org/calculation-tools/all-tools Cost: Free References: GHG Uncertainty Guide[1] The Greenhouse Gas Protocol Uncertainty Tool is designed to facilitate a quantitative and qualitative estimation of uncertainty associated with a

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

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

482

Measured energy savings and demand reduction from a reflective roof membrane on a large retail store in Austin  

E-Print Network [OSTI]

the abated annual energy and demand expenditures, simplea/c annual abated energy and demand expenditures and presentof future abated energy and demand expenditures is estimated

Konopacki, Steven J.; Akbari, Hashem

2001-01-01T23:59:59.000Z

483

Fuel Cell System Cost for Transporationa--2008 Cost Estimate  

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

Fuel Cell System Cost for Fuel Cell System Cost for Transportation-2008 Cost Estimate National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen Program NREL/BK-6A1-45457 May 2009 NOTICE 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 any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

484

Energy 101 | Department of Energy  

Office of Environmental Management (EM)

Energy Literacy Energy 101 Energy 101 What is the Energy 101 Initiative? The Energy 101 Dialogue Series: Dialogue 1: Energy in the Classroom Webinar Slides Increasing...

485

Federal Energy and Water Management Awards 2014  

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

in 2013 alone-with an estimated annual energy savings of 590 billion Btu, or 10.5% of FY 2013 annual energy consumption. His use of alternative financing to implement medium and...

486

Federal Energy and Water Management Awards 2014  

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

to reduce energy use by 9.8 billion Btu and energy costs by more than 141,000 per year. Water savings are estimated at 62,000 gallons per year. The building design surpassed the...

487

Some Recent Research on Solar Energy Technology  

Science Journals Connector (OSTI)

Mexico is located in the Earth’s sunbelt, where solar energy is plentiful for potential applications of solar energy conversion systems. According to several estimations (Renné et al. 2000...), the average insola...

Camilo A Arancibia-Bulnes; Antonio E Jiménez; Oscar A Jaramillo…

2007-01-01T23:59:59.000Z

488

Importance and Modes of Energy Storage  

Science Journals Connector (OSTI)

It has been estimated that if the present rate of population growth and exploitation of readily available stored energy in fossil fuels continues, then the fossil ... world are in search of new and renewable energy

H. P. Garg; S. C. Mullick; A. K. Bhargava

1985-01-01T23:59:59.000Z

489

Estimating tidally driven mixing in the deep ocean L. C. St. Laurent,1  

E-Print Network [OSTI]

is formulated for regions where internal tides dissipate their energy as turbulence. We assume that 30 ± 10% of the internal tide energy flux dissipates as turbulence near the site of generation, consistent with an estimate implicated the internal tides as a major source of mechanical energy for mixing, providing up to 1 TW

Jayne, Steven

490

Numerical and Analytical Estimates of M2 Tidal Conversion at Steep Oceanic Ridges EMANUELE DI LORENZO  

E-Print Network [OSTI]

the barotropic tide. The energy dissipated by bot- tom friction is small (Garrett and St. Laurent 2002) so that most of this energy must be transferred into the internal tides. However, model estimates of conversion and the resulting energy flux carried by internal tides disagree by up to 50%. Niwa and Hibiya (2001) use an s

Young, William R.

491

Estimating the Remaining Useful Life of Residential Cory Welch and Brad Rogers, Navigant Consulting, Inc.  

E-Print Network [OSTI]

as a function of those parameters. 2-316©2010 ACEEE Summer Study on Energy Efficiency in Buildings #12;The to produce estimates of lifetime energy savings and cost effectiveness of its early retirement program Consulting, Inc. ABSTRACT Early retirement programs for inefficient equipment can accelerate energy

492

Energy Blog | Department of Energy  

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

9, 2010 9, 2010 V.P. Biden Hosts the Middle Class Task Force Secretary Chu will join Vice President Biden at the White House as he hosts a Middle Class Task Force event. November 9, 2010 One Cool Roof The 134,629 sq. ft. (about 3 acres) roof of the Office of Scientific and Technical Information (OSTI) building in Oak Ridge, Tennessee is now officially a "Cool Roof" -- making it energy efficient in ways that darker roofs are not. Cool roofs are light in color, and therefore, reflect rather than absorb sunlight. November 9, 2010 2011 Fuel Economy Guide Now Available This annual Fuel Economy Guide provides consumers with information about estimated mileage and fuel costs November 8, 2010 How Are We Doing? A Webinar on Clean Energy and US Policies Editor's note: This event has concluded. Part of the "State of the States"

493

Building Energy Optimization Software | Department of Energy  

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

Energy Energy Optimization Software Building Energy Optimization Software BEopt 2.1 Now Available! BEopt Version 2.1 is now available and includes major features such as: mini-split heat pumps and room air conditioners (E+); new modeling inputs; component-based air leakage estimate for existing buildings; and more. Read about the new features and visit the BEopt website to download. To help meet Building America's goal to develop market-ready energy solutions that improve efficiency of new and existing homes, the National Renewable Energy Laboratory (NREL) developed the Building Energy Optimization (BEopt) software tool. This specialized computer program is designed to identify optimally efficient designs for new and existing homes at the lowest possible cost. BEopt produces detailed simulation-based analysis and design optimization

494

Grid Renewable Energy-Economic and Financial Analysis | Open Energy  

Open Energy Info (EERE)

Economic and Financial Analysis Economic and Financial Analysis Jump to: navigation, search Tool Summary Name: Grid Renewable Energy-Economic and Financial Analysis Agency/Company /Organization: World Bank Sector: Energy Focus Area: Renewable Energy Topics: Finance, Implementation, Market analysis Website: web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTENERGY2/EXTRENENERGYTK/0,, References: Grid Renewable Energy-Economic and Financial Analysis[1] Resources South Africa: Renewable Energy Market Transformation (REMT) Project, Draft Report, Economic and Financial Analysis Due Diligence Estimating Air Pollution Emissions from Fossil Fuel Use in the Electricity Sector in Mexico, North American Commission for Environmental Cooperation New Energy for America, The Apollo Jobs Report: Good Jobs & Energy

495

Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy  

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

1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates in Trillion Btu) XLS Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel Oil for Selected Purposes by Census Region, Industry Group, and Selected Industries, 1991 (Estimates in Barrels per Day) XLS Total Primary Consumption of Energy for All Purposes by Census Region and Economic Characteristics of the Establishment, 1991 (Estimates in Btu or Physical Units) XLS

496

Energy prices and the adoption of energy-saving technology  

E-Print Network [OSTI]

This paper investigates the link between factor prices, technology and factor demands. I estimate the effect of price-induced technology adoption on energy demand in the U.S. manufacturing sector, using plant data from the ...

Linn, Joshua

2006-01-01T23:59:59.000Z

497

Wave Energy Resource Analysis for Use in Wave Energy Conversion  

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

498

NETL: News Release - DOE Estimates Future Water Needs for Thermoelectric  

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

December 6, 2007 December 6, 2007 DOE Estimates Future Water Needs for Thermoelectric Power Plants 2007 Analysis Adds Projected Water Requirements for Carbon Capture WASHINGTON, DC - The Office of Fossil Energy's National Energy Technology Laboratory (NETL) has released a 2007 update to its groundbreaking study, Estimating Freshwater Needs to Meet Future Thermoelectric Generation Requirements. The updated analysis increases understanding of regional and national water needs and usage in the power industry, and provides input for research and development aimed at water-use reduction. MORE INFO Link to the updated study NETL's Water-Energy Interface web page New in this year's report is a response to heightened concerns over atmospheric carbon dioxide. The report examines the possibility that future

499

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

500

Matter & Energy Solar Energy  

E-Print Network [OSTI]

See Also: Matter & Energy Solar Energy· Electronics· Materials Science· Earth & Climate Energy and the Environment · Renewable Energy· Environmental Science · Reference Chemical compound· Semiconductor· Gallium at the University of Illinois, the future of solar energy just got brighter. Although silicon is the industry

Rogers, John A.