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Note: This page contains sample records for the topic "analysis energy estimates" 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

Estimating Marginal Residential Energy Prices in the Analysis...  

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

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

2

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

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

3

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

E-Print Network (OSTI)

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

4

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

SciTech Connect

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

Bowsher, C.A.

1982-12-10T23:59:59.000Z

5

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

SciTech Connect

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

Not Available

1982-06-01T23:59:59.000Z

6

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

SciTech Connect

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

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

2012-03-01T23:59:59.000Z

7

Energy Analysis  

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

Energy analysis informs EERE decision-making by delivering analytical products in four main areas: Data Resources, Market Intelligence, Energy Systems Analysis, and Portfolio Impacts Analysis.

8

Energy Analysis  

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

power lines, solar PV panels, wind turbines, urban skyline, globe Energy Analysis Generating and interpreting information to inform a wide range of stakeholders, including...

9

Estimating Renewable Energy Costs | Department of Energy  

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

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

10

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

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

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

2011-03-10T23:59:59.000Z

11

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

12

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

U.S. Energy Information Administration (EIA)

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

13

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

U.S. Energy Information Administration (EIA)

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

14

Building Energy Software Tools Directory: Energy Estimation Software with  

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

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

15

State energy data report 1993: Consumption estimates  

SciTech Connect

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

NONE

1995-07-01T23:59:59.000Z

16

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

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

Not Available

1993-05-01T23:59:59.000Z

17

NREL: Energy Analysis - Market Analysis  

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

Market Analysis The laboratory's market analysis helps increase the use of renewable energy (RE) and energy efficiency (EE) technologies in the marketplace by providing strategic...

18

NREL: Energy Analysis - Energy Sciences Technology Analysis  

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

Energy Sciences Technology Analysis To help meet the nation's needs for clean energy, inexpensive alternative fuels, and a healthy environment, researchers in NREL's Energy...

19

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (OSTI)

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

NONE

1997-12-01T23:59:59.000Z

20

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

Note: This page contains sample records for the topic "analysis energy estimates" 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 Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

22

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

23

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

Science Conference Proceedings (OSTI)

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

Nedjeljka Žagar; Koji Terasaki; Hiroshi L. Tanaka

2012-07-01T23:59:59.000Z

24

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

25

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

26

Uncertainties of Estimates of Inertia–Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems  

Science Conference Proceedings (OSTI)

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

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

2009-11-01T23:59:59.000Z

27

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Appliance and Home Electronic Energy Use Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

28

Estimates of US biomass energy consumption 1992  

DOE Green Energy (OSTI)

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

Not Available

1994-05-06T23:59:59.000Z

29

SEDS: State Energy Production Estimates  

U.S. Energy Information Administration (EIA)

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

30

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

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

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

1983-03-01T23:59:59.000Z

31

NREL: Energy Analysis - Sustainability Analysis  

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

Sustainability Analysis Sustainability Analysis The laboratory's Sustainability Analysis looks at the environmental, life-cycle, climate, and other impacts of renewable energy technologies. Our energy choices have global implications that affect greenhouse gas emissions, water resource distribution, mineral consumption, and equipment manufacturing and transportation. The school of thought is that renewable energy technologies are more sustainable than many current sources of energy. However, we need to verify that this is true before we miss some important opportunities. NREL's capabilities in this analysis area include: resource-use optimization techno-economic feasibility and cost analysis life cycle assessment environmental externalities analysis cobenefits analysis manufacturing cost analysis

32

State energy data report 1992: Consumption estimates  

SciTech Connect

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

Not Available

1994-05-01T23:59:59.000Z

33

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

U.S. Energy Information Administration (EIA)

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

34

Geothermal Energy: National Estimate for Direct Use  

SciTech Connect

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

1980-12-01T23:59:59.000Z

35

Geothermal Energy: National Estimate for Direct Use  

DOE Green Energy (OSTI)

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

None

1980-12-01T23:59:59.000Z

36

NREL: Energy Analysis - Policy Analysis  

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

policy analysis evaluates policies that can advance-or provide alternatives to-renewable energy technologies in meeting national goals. Federal Policy NREL's federal policy team...

37

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

38

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

39

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

40

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

Estimated United States Transportation Energy Use 2005  

DOE Green Energy (OSTI)

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

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

2011-11-09T23:59:59.000Z

42

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

43

EERE: Energy Analysis Home Page  

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

Analysis Search Search Help Energy Analysis HOME ABOUT FEATURED CONTENT EERE Energy Analysis Printable Version Share this resource Send a link to EERE: Energy Analysis Home Page...

44

Hierarchical pose estimation for human gait analysis  

Science Conference Proceedings (OSTI)

Articulated structures like the human body have many degrees of freedom. This makes an evaluation of the configuration's likelihood very challenging. In this work we propose new linked hierarchical graphical models which are able to efficiently evaluate ... Keywords: Gait analysis, Hierarchical graphical model, Human pose estimation, Markov random fields

Jens Spehr; Simon Winkelbach; Friedrich M. Wahl

2012-05-01T23:59:59.000Z

45

NREL: Energy Analysis - Staff  

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

Staff Staff National Renewable Energy Laboratory (NREL) analysts have capabilities that span a wide range of renewable energy technologies. This site will help you learn more about the crosscutting analysis capabilities, energy-modeling background, and technology expertise of analysts in our Strategic Energy Analysis Center (SEAC). Strategic Planning and Direction Center Director (acting): Doug Arent Business Development: Dan Bilello Synthesis and Integration: Debra Sandor Lead Administrative Assistant: Melissa Hudman Project Management Support: Dani Salyer Data Analysis and Visualization The following staff are SEAC's experts in analysis relating to geospatial analytics and integrated resource assessment; our energy efficiency and renewable energy data warehouse; and advanced visualization.

46

Utility Savings Estimators | Building Energy Codes Program  

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

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

47

NREL: Energy Analysis - Geothermal Technology Analysis  

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

Integration Energy Analysis Search More Search Options Site Map Printable Version Geothermal Technology Analysis The Department of Energy's (DOE) Geothermal Energy Program...

48

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

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

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

49

Historical Ocean Subsurface Temperature Analysis with Error Estimates  

Science Conference Proceedings (OSTI)

An objective analysis of monthly ocean subsurface temperatures from 1950 to 1998 is carried out. The analysis scheme and the results with estimated analysis errors are presented.

Masayoshi Ishii; Masahide Kimoto; Misako Kachi

2003-01-01T23:59:59.000Z

50

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

E-Print Network (OSTI)

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

Baica, Malvina

51

Uncertainties of estimates of inertio-gravity energy in the atmosphere  

E-Print Network (OSTI)

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

Zagar, Nedjeljka

52

NREL: Energy Analysis - Publications  

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

of Concentrating Solar Power with Thermal Energy Storage in a California 33% Renewable Scenario (2013) Summary presentation (2013) Preliminary Analysis of the Jobs and Economic...

53

Energy Analysis Publications  

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

Analysis > Product List Analysis > Product List HeaderLine Energy Analysis Publications Products BRIEFS: Showing Results 1 to 5 of 23 Role of Alternative Energy Sources: Nuclear Technology Assessment Brief (Aug 2012) Role of Alternative Energy Sources: Hydropower Technology Assessment Brief (Aug 2012) Role of Alternative Energy Sources: Geothermal Technology Assessment Brief (Aug 2012) Role of Alternative Energy Sources: Solar Thermal Technology Assessment Brief (Aug 2012) Role of Alternative Energy Sources: Wind Technology Assessment Brief (Aug 2012) View All MODELS/TOOLS: Showing Results 1 to 5 of 23 Power Plant Flexible Model (Nov 2013) NETL Upstream Dashboard Tool (Aug 2012) Power Systems Life Cycle Analysis Tool (Power LCAT) (Jun 2012) Life Cycle Greenhouse Gas Analysis of Advanced Jet Propulsion Fuels: Fischer-Tropsch Based SPK-1 Case Study - Model (Dec 2011)

54

Energy Sector Market Analysis  

SciTech Connect

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

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

2006-10-01T23:59:59.000Z

55

Estimating Risk to California Energy Infrastructure From Projected...  

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

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

56

NREL: Energy Analysis - News  

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

Bookmark and Share Bookmark and Share News The Energy Analysis at NREL newsletter highlights the lab's analysts and analysis activities in renewable energy and energy efficiency technologies are having an impact on U.S. energy goals. The newsletter features recent publications and websites, updates to our models and tools, and staff activities. You can subscribe to receive the newsletter monthly by email. December 2013 NREL Analysis: Making an Impact A graphic showing the cover design for the Realizing a Clean Energy Future brochure. In Hawaiian mythology, Maui set out to lasso the sun in order to capture its energy. He succeeded. That may have been the most dramatic leap forward in clean energy systems that the world has known. Until now. Today, profound energy system transformation is underway. A combination of forces

57

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

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

58

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

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

59

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

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

60

Swarm intelligence approaches to estimate electricity energy demand in Turkey  

Science Conference Proceedings (OSTI)

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

Mustafa Servet K?Ran; Eren ÖZceylan; Mesut GüNdüZ; Turan Paksoy

2012-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Michael Woodhouse  

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

Woodhouse Woodhouse Photo of Michael Woodhouse Michael Woodhouse is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Solar PV Technologies and Economics Analyst On staff since 2008 Phone number: 303-384-7623 E-mail: Michael.Woodhouse@nrel.gov Areas of expertise Fundamental science of photovoltaics (PV) and solar hydrogen technologies Economics of PV - From manufacturing to levelized cost of energy (LCOE) Primary research interests Manufacturing costs, systems-level installation costs and LCOE estimates for PV technologies Capital costs and LCOE estimates for other power generating technologies, including other renewables and also the traditional sources Serve as Associate Editor for The Journal of Renewable and

62

NREL: Energy Analysis - Janine Freeman  

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

Janine Freeman Janine Freeman Photo of Janine Freeman Janine Freeman is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy System Modeling Engineer On staff since March 2013 Phone number: 303-275-4694 E-mail: janine.freeman@nrel.gov Areas of expertise Solar instrumentation PV energy production modeling Solar resource estimates Vertical axis wind turbine analysis/wind tunnel experimentation PVsyst CAD modeling Campbell Scientific LoggerNet Matlab Primary research interests Wind and solar power improvements Education and background training M.S. in mechanical engineering, Rensselaer Polytechnic Institute (RPI), Troy NY, 2010 B.S. in mechanical engineering, Rensselaer Polytechnic Institute (RPI), Troy NY, 2009 Prior work experience AWS Truepower, Albany NY, Solar Services Engineer (2011-2012)

63

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network (OSTI)

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

64

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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

65

Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation  

Science Conference Proceedings (OSTI)

This paper describes a new talker direction estimation method for front-end processing to capture distant-talking speech by using a microphone array. The proposed method consists of two algorithms: One is a TDOA (Time Delay Of Arrival) estimation algorithm ... Keywords: robust talker direction estimation, CSP analysis, CSP coefficient subtraction, ML estimation, microphone array

Yuki Denda; Takanobu Nishiura; Yoichi Yamashita

2006-03-01T23:59:59.000Z

66

Environment - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

67

Electricity - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

68

Indonesia - Analysis - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

69

Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

70

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

I: System for the Analysis of Global Energy Markets (SAGE) I: System for the Analysis of Global Energy Markets (SAGE) The projections of world energy consumption appearing in this yearÂ’s International Energy Outlook (IEO) are based on the Energy Information AdministrationÂ’s (EIAÂ’s) international energy modeling tool, System for the Analysis of Global Energy markets (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.

71

NREL: Energy Analysis - Lynn Billman  

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

Areas of expertise Benefits analysis for EERE programs Energy efficiency and renewable energy market research Analysis, modeling, and projection of capital requirements and...

72

NREL: Energy Analysis - Bethany Speer  

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

and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Renewable Energy Market, Finance, and Policy Analyst On staff since November 2009 Phone number:...

73

NREL: Energy Analysis - Lori Bird  

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

E-mail: lori.bird@nrel.gov Areas of expertise Market analysis Policy analysis Primary research interests Renewable energy and carbon markets Renewable energy policy...

74

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

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

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

75

NREL: Energy Analysis - David Palchak  

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

David Palchak Photo of David Palchak David Palchak is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Systems Engineer On...

76

NREL: Energy Analysis - Daniel Steinberg  

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

Steinberg Photo of Daniel Steinberg Daniel Steinberg is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy and Environmental...

77

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

for evaluating alternative energy per- formance standards.Analysis of impacts of alternative energy budget levels, inassessment of energy alternatives: The cost of occupational

Authors, Various

2013-01-01T23:59:59.000Z

78

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

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

79

ESTIMATION OF ENERGY SAVINGS RESULTING FROM THE BESTPRACTICES...  

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

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

80

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

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

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

U.S. Energy Information Administration (EIA)

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

82

NREL: Energy Analysis - Geothermal Technology Analysis Models...  

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

Integration Energy Analysis Search More Search Options Site Map Printable Version Geothermal Technology Analysis Models and Tools The following is a list of models and tools...

83

NREL: Energy Analysis - Technology Systems Analysis  

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

Zhang Access more information on all of our Staff Analysts Printable Version Energy Analysis Home Capabilities & Expertise Technology Analysis Biomass Buildings Electric...

84

NREL: Energy Analysis - Dani Salyer  

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

Data Analysis and Visualization Group Energy Forecasting and Modeling Group Market and Policy Impact Analysis Group Technology Systems and Sustainability Analysis Group...

85

Estimating the Meridional Energy Transports in the Atmosphere and Ocean  

Science Conference Proceedings (OSTI)

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

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

1985-01-01T23:59:59.000Z

86

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Conference Proceedings (OSTI)

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

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

2005-10-01T23:59:59.000Z

87

Estimates of U.S. Biomass Energy Consumption 1992  

Reports and Publications (EIA)

This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

Fred Mayes

1994-05-01T23:59:59.000Z

88

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

U.S. Energy Information Administration (EIA)

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

89

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental & Economic Systems Analysis GTMax: A New Deregulated Power Market Analysis Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic hourly energy transactions, costs, and revenues. GTMax has a user-friendly geographical information

Kemner, Ken

90

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

91

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

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state energy consumption estimates to the government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1992-05-15T23:59:59.000Z

92

Estimating the Potential Impact of Renewable Energy on the Caribbean  

E-Print Network (OSTI)

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

Kammen, Daniel M.

93

Rapid Energy Estimation of Computations on FPGA based Soft Processors  

E-Print Network (OSTI)

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

Hwang, Kai

94

NREL: Energy Analysis: Geospatial Analysis  

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

analyzes, maintains, and disseminates data sets and maps on renewable energy resources, energy infrastructure, demographics and land ownership, and the earth's physical geography...

95

Current work in energy analysis  

SciTech Connect

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

NONE

1998-03-01T23:59:59.000Z

96

Energy Analysis Publications  

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

Analysis Analysis Life Cycle Analysis Energy Analysis Publications NEW RELEASES Perspective on the U.S. Coal Industry Perspective on the U.S. Coal Industry [PPSX - 3.09MB] (Dec 2013) Novel CO2 Utilization Concepts: Working Paper Novel CO2 Utilization Concepts: Working Paper [ZIP - 4MB] (Nov 2013) Contact: Gavin Pickenpaugh Contact: Robert James This presentation provides an overview of the coal industry, focusing on the United States, but within a global context.... Read More Working Report on CO2 Utilization Concepts, detailing screening and detailed studies of concepts using CO2 for product g... Read More Power Plant Flexible Model Power Plant Flexible Model [2.04 - PDF] (Nov 2013) LCA XIII: The Carbon Footprint of Carbon Dioxide LCA XIII: The Carbon Footprint of Carbon Dioxide

97

Energy Analysis Department Analyzing the Effects of Temporal Wind Patterns  

E-Print Network (OSTI)

Energy Analysis Department Analyzing the Effects of Temporal Wind Patterns on the Value of Wind;Methods Summary Energy Analysis Department Wind Speed Data ­ TrueWind modeled wind-speed estimates (main;Summary of Key Findings (1) Energy Analysis Department Temporal patterns of wind production have

98

Wavelet Analysis for Wind Fields Estimation  

E-Print Network (OSTI)

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

Leite, Gladeston C.

2013-01-01T23:59:59.000Z

99

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

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

100

Estimating local thickness for finite element analysis  

Science Conference Proceedings (OSTI)

Within the development of motor vehicles, crash safety is one of the most important attributes. To comply with the ever increasing requirements of shorter cycle times and costs reduction, car manufacturers keep intensifying the use of virtual development ... Keywords: FEA mesh, automotive crash simulations, ray tracing, structural modelling, thickness estimation

Vânio Ferreira; Luís Paulo Santos; Ricardo Simoes; Markus Franzen; Omar O. Ghouati

2010-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

102

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

G: Key Assumptions for the IEO2005 Kyoto Protocol Case G: Key Assumptions for the IEO2005 Kyoto Protocol Case Energy-Related Emissions of Greenhouse Gases The System for the Analysis of Global energy Markets (SAGE)—the model used by the Energy Information Administration (EIA) to prepare the International Energy Outlook 2005 (IEO2005) mid-term projections—does not include non-energy-related emissions of greenhouse gases, which are estimated at about 15 to 20 percent of total greenhouse gas emissions, based on inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). SAGE models global energy supply and demand and, therefore, does not address agricultural and other non-energy-related emissions. EIA implicitly assumes that percentage reductions of non-energy-related emissions and their associated abatement costs will be similar to those for energy-related emissions. Non-energy-related greenhouse gas emissions are likely to grow faster than energy-related emissions; however, the marginal abatement costs for non-energy-related greenhouse gas emissions are not known and cannot be estimated reliably. In SAGE, each region’s emissions reduction goal under the Kyoto Protocol is based only on the corresponding estimate of that region’s energy-related carbon dioxide emissions, as determined by EIA data. It is assumed that the required reductions will also be proportionately less than if all gases were included.

103

NREL: Energy Analysis - Geraly Amador  

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

& Engineering - Contractor to Dept. of Energy (2009-2012) Personal interestshobbies DIY home improvements projects, scrapbooking Printable Version Energy Analysis Home...

104

NREL: Energy Analysis - Clayton Barrows  

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

Clayton Barrows Photo of Clayton Barrows Clayton Barrows is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Postdoctoral Researcher...

105

NREL: Energy Analysis - Stuart Cohen  

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

Stuart Cohen Photo of Stuart Cohen Stuart Cohen is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Postdoctoral Researcher On staff...

106

NREL: Energy Analysis - October 2010  

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

The November 11, 2010, seminar with Josh Schellenberg has been canceled. Upcoming Energy Analysis Seminars January 13, 2011 (Golden, Colo.) "Integrating Renewable Energy in an...

107

Rapid energy estimation of computations on FPGA based soft processors  

E-Print Network (OSTI)

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

Jingzhao Ou; Viktor K. Prasanna

2004-01-01T23:59:59.000Z

108

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

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

109

Environmental Energy Technologies Division Energy Analysis Department Renewable Energy  

E-Print Network (OSTI)

Environmental Energy Technologies Division · Energy Analysis Department Renewable Energy-price contracts for renewable energy 3) What impact do renewables have on gas prices? 4) What impact do high gas prices have on renewables? #12;Environmental Energy Technologies Division · Energy Analysis Department

110

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.

111

NREL: Energy Analysis - Aaron Levine  

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

is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. ResearchRegulatory Analyst On staff since 2012 Phone number:...

112

NREL: Energy Analysis - Ethan Warner  

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

is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Sustainability Analyst On staff since August 2009 Phone number:...

113

NREL: Energy Analysis - Daniel Getman  

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

of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Scientist IV - Geospatial Section Supervisor On staff since March 2010 Phone number:...

114

Program Impact Analysis | Building Energy Codes Program  

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

Program Impact Analysis Program Impact Analysis BECP periodically assesses the impacts of its activities by estimating historical and projected energy savings, consumer savings, and avoided emissions. Since the inception of the Program 20 years ago, cumulative full-fuel-cycle (FFC) energy savings from 1992- 2012 are estimated to be approximately 4.8 quads and cost savings to consumers have been more than $44 billion. These savings have resulted primarily from the Program's activities which upgrade the model energy codes, accelerate their adoption by states and localities, and improve code compliance by means of various software tools and other types of training and technical support. The federal budgetary cost of the Program over this same period (1992-2012) was estimated to be around $110 million, resulting in a ratio of more than $400

115

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

116

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.

117

Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricity  

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

Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricity Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricity Generation Technologies Speaker(s): Garvin Heath Date: April 11, 2011 - 10:00am Location: 90-3075 Seminar Host/Point of Contact: Eric Masanet One barrier to the full support and deployment of alternative energy systems and the development of a sustainable energy policy is the lack of robust conclusions about the life cycle environmental impacts of energy technologies. A significant number of life cycle assessments (LCA) of energy technologies have been published, far greater than many are aware. However, there is a view held by many decision-makers that the state of the science in LCA of energy technologies is inconclusive because of perceived and real variability and uncertainty in published estimates of life cycle

118

Radiative Energy Budget Estimates for the 1979 Southwest Summer Monsoon  

Science Conference Proceedings (OSTI)

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

Steven A. Ackerman; Stephen K. Cox

1987-10-01T23:59:59.000Z

119

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

U.S. Energy Information Administration (EIA)

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

120

NREL: Jobs and Economic Competitiveness - Clean Energy Innovation Analysis  

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

Clean Energy Innovation Analysis Clean Energy Innovation Analysis With increased global competition for market share in alternative energy, innovation in energy will be a major contributor to national economic competitiveness in the coming decades. NREL's innovation analysis focuses on understanding the innovation dynamics of clean energy technologies to inform research investment decisions and innovation and technology transfer policy. NREL's innovation analysis studies show that: Different energy technology areas exhibit unique patterns of invention and innovation. New empirical methods of estimating technical and commercial impact (based on analysis of patent citations and web presence) to better target research expenditures could augment the speed and scale of innovation and deployment of clean energy technologies

Note: This page contains sample records for the topic "analysis energy estimates" 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

Estimating disaggregated price elasticities in industrial energy demand  

Science Conference Proceedings (OSTI)

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

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

1992-01-01T23:59:59.000Z

122

International Clean Energy Analysis | Open Energy Information  

Open Energy Info (EERE)

International Clean Energy Analysis International Clean Energy Analysis Jump to: navigation, search About ICEA UNIDO small.png NREL small.png The International Clean Energy Analysis (ICEA) gateway promotes increased access to clean energy analysis tools, databases, methods and other technical resources which can be applied in developing countries. This wiki-based dynamic platform allows you to add to the inventory of clean energy organizations, tools, programs and data included on the site. We encourage you to expand the inventory of resources by clicking on "add" below the International Initiatives map. The gateway is organized by Information Toolkits which provide tools and resources to help answer a number of clean energy questions. The International Initiatives map also provides country-specific information on clean energy programs, tools and organizations. Click here to learn more about the ICEA gateway project.

123

NREL: Energy Analysis Home Page  

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

Examples of NREL Analysis Impacts Examples of NREL Analysis Impacts Resource Assessment Electric Sector Integration Jobs and Economic Competitiveness Geospatial Analysis Life Cycle Assessment Harmonization Analysis of Project Finance Analysis at NREL aims to increase the understanding of the current and future interactions and roles of energy policies, markets, resources, technologies, environmental impacts, and infrastructure. NREL analysis, data, and tools inform decisions as energy-efficient and renewable energy technologies advance from concept to commercial application. Learn more about NREL's analysis by downloading Realizing a Clean Energy Future: Highlights of NREL Analysis . Featured Analysis Realizing a Clean Energy Future: Highlights of NREL Analysis (Brochure) Status and Trends in the Green Power Market (2012 Data)

124

Cost estimation and analysis for government contract pricing in china  

Science Conference Proceedings (OSTI)

Software cost estimation methods and their applications in government contract pricing have been developed and practiced for years. However, in China, the government contract process has been questioned in some aspects. It is largely based on analogy ... Keywords: cost analysis., cost estimation, government contract pricing

Mei He; Ye Yang; Qing Wang; Mingshu Li

2007-05-01T23:59:59.000Z

125

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

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

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

126

On spatial estimation of wind energy potential in Malaysia  

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

127

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

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

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

128

Energy, Environmental & Economic Systems Analysis  

E-Print Network (OSTI)

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

Kemner, Ken

129

Energy Analysis and Environmental Impacts  

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

Electric power lines and climate change model Electric power lines and climate change model Energy Analysis and Environmental Impacts Energy Analysis and Environmental Impacts application/pdf icon eaei-org-chart-11-2013.pdf The Energy Analysis and Environmental Impacts Department analyzes U.S. and global energy consumption and the associated social, economic, and environmental impacts, including human health, greenhouse gas emissions, and global climate change. Researchers conduct R&D and provide technical assistance to governments on: Lifecycle analysis of products and industries; How energy use affects health in the indoor environment; Energy markets and utility policy; Renewable energy policy and economics; Energy efficiency standards and codes; International energy and environmental impacts in the developed and

130

Energy estimation of peripheral devices in embedded systems  

E-Print Network (OSTI)

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

Ozgur Celebican

2004-01-01T23:59:59.000Z

131

NREL: Energy Analysis - About the Strategic Energy Analysis Center  

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

of research programs - from life-cycle assessments to vehicle systems to online renewable energy analysis applications. The analyses aim to understand the interaction of policy,...

132

NREL: Energy Analysis - Levelized Cost of Energy Calculator  

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

Levelized Cost of Energy Calculator Levelized Cost of Energy Calculator Transparent Cost Database Button The levelized cost of energy (LCOE) calculator provides a simple calculator for both utility-scale and distributed generation (DG) renewable energy technologies that compares the combination of capital costs, operations and maintenance (O&M), performance, and fuel costs. Note that this does not include financing issues, discount issues, future replacement, or degradation costs. Each of these would need to be included for a thorough analysis. To estimate simple cost of energy, use the slider controls or enter values directly to adjust the values. The calculator will return the LCOE expressed in cents per kilowatt-hour (kWh). The U.S. Department of Energy (DOE) Federal Energy Management Program

133

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

E-Print Network (OSTI)

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

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

2003-01-01T23:59:59.000Z

134

NREL: Energy Analysis: Analysis of Project Finance  

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

Analysis of Project Finance Analysis of Project Finance NREL analysis helps potential renewable energy developers and investors gain insights into the complex world of project finance. Renewable energy project finance is complex, requiring knowledge of federal tax credits, state-level incentives, renewable attribute markets, renewable technology installation and operation costs, and many other site-specific considerations. NREL conducts research, performs analysis, and produces reports and analysis tools on: Project-level finance (terms, structures, and innovations) Renewable energy financial policies such as feed-in tariffs, clean renewable energy bonds, and power purchase agreements State-of-the-market for renewable technologies High renewable penetration scenarios A map showing the dollar (millions) amount of Federal Section 1603 awards.

135

Cuttings Analysis | Open Energy Information  

Open Energy Info (EERE)

Cuttings Analysis Cuttings Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Cuttings Analysis Details Activities (36) Areas (28) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Cuttings are used to define lithology Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 1,000.00100,000 centUSD 1 kUSD 1.0e-3 MUSD 1.0e-6 TUSD / 100 feet cut Median Estimate (USD): 4,000.00400,000 centUSD 4 kUSD 0.004 MUSD 4.0e-6 TUSD / 100 feet cut High-End Estimate (USD): 10,000.001,000,000 centUSD 10 kUSD 0.01 MUSD 1.0e-5 TUSD / 100 feet cut Time Required

136

Petrography Analysis | Open Energy Information  

Open Energy Info (EERE)

Petrography Analysis Petrography Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Petrography Analysis Details Activities (6) Areas (5) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Provides detailed information about rock composition and morphology Stratigraphic/Structural: Hydrological: Thermal: Cost Information Low-End Estimate (USD): 275.0027,500 centUSD 0.275 kUSD 2.75e-4 MUSD 2.75e-7 TUSD / sample Median Estimate (USD): 420.0042,000 centUSD 0.42 kUSD 4.2e-4 MUSD 4.2e-7 TUSD / sample High-End Estimate (USD): 625.0062,500 centUSD 0.625 kUSD 6.25e-4 MUSD 6.25e-7 TUSD / sample

137

Comparison of weighted grey relational analysis for software effort estimation  

Science Conference Proceedings (OSTI)

In recent years, grey relational analysis (GRA), a similarity-based method, has been proposed and used in many applications. However, we found that most traditional GRA methods only consider nonweighted similarity for predicting software development ... Keywords: Grey relational analysis (GRA), Software cost, Software development effort, Software effort estimation, Weighted assignment

Chao-Jung Hsu; Chin-Yu Huang

2011-03-01T23:59:59.000Z

138

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

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

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

139

NREL: Energy Analysis - Paul Denholm  

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

Paul Denholm Photo of Paul Denholm Paul Denholm is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Analyst On staff since...

140

Core Analysis | Open Energy Information  

Open Energy Info (EERE)

Core Analysis Core Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Core Analysis Details Activities (41) Areas (28) Regions (2) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Rock Lab Analysis Parent Exploration Technique: Rock Lab Analysis Information Provided by Technique Lithology: Core analysis is done to define lithology. Stratigraphic/Structural: Core analysis can locate faults or fracture networks. Oriented core can give additional important information on anisotropy. Hydrological: Thermal: Thermal conductivity can be measured from core samples. Cost Information Low-End Estimate (USD): 2,000.00200,000 centUSD 2 kUSD 0.002 MUSD 2.0e-6 TUSD / 30 foot core Median Estimate (USD): 10,000.001,000,000 centUSD

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Graham Hill  

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

(Krakauer, Bryson, Kerouac) and non-fiction about environment, adventureexploration, history, and science. Printable Version Energy Analysis Home Capabilities & Expertise Key...

142

NREL: Energy Analysis - Ben Maples  

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

ben.maples@nrel.gov Areas of expertise Levelized cost of energy (LCOE) analysis Wind turbine and plant component costs Assessing wind turbine performance Primary research...

143

NREL: Energy Analysis - Rachel Gelman  

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

across the lab Market analysis Primary research interests U.S. power market dynamics Energy efficiency Transmission Education and background training B.A. in statistics and...

144

NREL: Energy Analysis - Chris Webber  

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

is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Cloud Engineer On staff since April 2011 Phone number: 303-275-4238...

145

NREL: Energy Analysis - Jenny Melius  

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

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

146

NREL: Energy Analysis - Related Links  

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

Related Links Related Links Here you'll find links to other programs, organizations, and information resources concerning other analysis capabilities, energy-modeling, and technology expertise related to renewable energy. International Applications NREL's International Program in its effort to promote the use of renewable energy as a tool for sustainable development, applies world-class expertise in technology development and deployment, economic analysis, resource assessment, project design and implementation, and policy formulation. Assisting State and Local Governments Using renewable energy and being energy efficient is smart. Not only does it protect the environment, it benefits the economy. Many mayors, governors, city/county commissioners, state legislators, state energy

147

LBNL Renewable Energy Market and Policy Analysis | Open Energy...  

Open Energy Info (EERE)

LBNL Renewable Energy Market and Policy Analysis (Redirected from Renewable Energy Market and Policy Analysis at LBNL) Jump to: navigation, search Logo: Renewable Energy Market and...

148

LBNL Renewable Energy Market and Policy Analysis | Open Energy...  

Open Energy Info (EERE)

LBNL Renewable Energy Market and Policy Analysis Jump to: navigation, search Logo: Renewable Energy Market and Policy Analysis at LBNL Name Renewable Energy Market and Policy...

149

SERI photovoltaic venture analysis: long term demand estimation  

SciTech Connect

This report presents the results of a sectoral demand analysis for photovoltaic power systems used in the residential sector (single family homes), the service, commercial, and institutional sector (schools), and in the central power sector. The results described are the output of a set of three normative modeling activities carried out by the MIT Energy Laboratory. They are based on the assumption that the sectors, i.e., the utilities, schools, and homeowners, will switch to photovoltaic power systems when they are cost-effective relative to the competition, that is, centralized power generation using conventional fuels. In each case the assumption is made that the market for photovoltaic power systems will be a new market, not a retrofit market. As a result the annual (total for utilities) sales potential at a given price is estimated for each sector assuming a specific level of new installations in that sector, i.e., new single-family homes, new schools, and additions to utility stocks. As such, the results presented are maxima for a given application. While the methodology presented does not allow for any early acceptors, it does assume that once economic all new homeowners, school-builders, and utilities will buy to a fixed level.

Tabors, R.D.; Finger, S.; Burns, A.; Carpenter, P.; Dinwoodie, T.

1978-07-01T23:59:59.000Z

150

Bayesian analysis of inflation: Parameter estimation for single field models  

Science Conference Proceedings (OSTI)

Future astrophysical data sets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single-field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single-field models ({phi}{sup n} with n=2/3, 1, 2, and 4, natural inflation, and 'hilltop' inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the ''primordial dark ages'' between TeV and grand unified theory scale energies.

Mortonson, Michael J. [Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210 (United States); Peiris, Hiranya V. [Institute of Astronomy and Kavli Institute for Cosmology, University of Cambridge, Cambridge CB3 0HA (United Kingdom); Department of Physics and Astronomy, University College London, London WC1E 6BT (United Kingdom); Easther, Richard [Department of Physics, Yale University, New Haven, Connecticut 06520 (United States)

2011-02-15T23:59:59.000Z

151

Bayesian Analysis of Inflation: Parameter Estimation for Single Field Models  

E-Print Network (OSTI)

Future astrophysical datasets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single field models (phi^n with n=2/3, 1, 2, and 4, natural inflation, and "hilltop" inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the "primordial dark ages" between TeV and GUT scale energies.

Michael J. Mortonson; Hiranya V. Peiris; Richard Easther

2010-07-23T23:59:59.000Z

152

Industrial Geospatial Analysis Tool for Energy Evaluation  

E-Print Network (OSTI)

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

Alkadi, N.; Starke, M.; Ma, O.; Nimbalkar, S.; Cox, D.; Dowling, K.; Johnson, B.; Khan, S.

2013-01-01T23:59:59.000Z

153

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

U.S. Energy Information Administration (EIA)

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

154

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

U.S. Energy Information Administration (EIA)

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

155

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

U.S. Energy Information Administration (EIA)

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

156

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

U.S. Energy Information Administration (EIA)

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

157

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

U.S. Energy Information Administration (EIA)

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

158

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

U.S. Energy Information Administration (EIA)

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

159

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

U.S. Energy Information Administration (EIA)

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

160

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

U.S. Energy Information Administration (EIA)

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

U.S. Energy Information Administration (EIA)

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

162

The estimate of the wind energy potential and insolation  

E-Print Network (OSTI)

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

Aoki, Kenichiro

2009-01-01T23:59:59.000Z

163

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

164

International Clean Energy Analysis | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Gateway Edit History Facebook icon Twitter icon » International Clean Energy Analysis (Redirected from International Clean Energy Analysis) Jump to: navigation, search About ICEA UNIDO small.png NREL small.png The International Clean Energy Analysis (ICEA) gateway promotes increased access to clean energy analysis tools, databases, methods and other technical resources which can be applied in developing countries. This wiki-based dynamic platform allows you to add to the inventory of clean energy organizations, tools, programs and data included on the site. We encourage you to expand the inventory of resources by clicking on "add" below the International Initiatives map. The gateway is organized by Information Toolkits which provide tools and resources to help answer a number of clean energy questions. The International Initiatives map also provides country-specific information on clean energy programs, tools and organizations. Click here to learn more about the ICEA gateway project.

165

NREL: Energy Analysis - News Archive 2005  

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

5 5 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Green Power Marketing Conference Presentations, Award Winners Posted NREL Updates Geospatial Toolkits NREL Debuts State Database on Buying Green Power Strategic Energy Analysis Center Publishes Green Power Reports NREL Releases Estimates of New Renewable Energy Capacity NREL Helps Develop Tool for Evaluating Hybrid Vehicles EERE's Office of Planning, Budget, and Analysis Debuts New Site NREL Presents Papers/Posters on Wind Deployment Systems (WinDS) Model Lab Sponsors Stakeholder Workshop on Energy/Water Issues Modeling Workshop Discusses GIS and Regionalization NREL Publishes New HOMER® Study New Power Technologies Energy Data Book Available On-Line NREL Highlights Leading Utility Green Power Programs

166

NREL: Energy Analysis - Financial Policy Analysis  

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

Financial Policy Analysis Financial Policy Analysis NREL's financial policy analysis team examines the effects that policy has on renewable energy project financing and development. They look at how policies such as feed-in tariffs, clean renewable energy bonds, and power purchase agreements can shape the pace and structure of financing. For more on NREL's analysis of these policies, access the information below. Key Analyses for 2010 Cover of the A Policymaker's Guide to Feed-in Tariff Policy Design report. Feed-in Tariff Policy Design SEAC analysts Karlynn Cory and Claire Kreycik, along with Toby Couture of E3 Analytics and Emily Williams of the U.S. Department of State, recently published the report "A Policymaker's Guide to Feed-in Tariff Policy Design." Feed-in tariffs (FITs) are the most widely used renewable energy

167

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

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

168

Energy Efficiency Incentives Analysis ERNEST ORLANDO LAWRENCE  

E-Print Network (OSTI)

Energy Efficiency Incentives Analysis LBNL-1598E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Financial Analysis of Incentive Mechanisms to Promote Energy Efficiency: Case Study was funded by the Department of Energy Office of Energy Efficiency and Renewable Energy, Weatherization

169

Analysis of Cost Estimating Processes Used Within a Concurrent Engineering  

E-Print Network (OSTI)

Concurrent engineering environments affect the cost estimating and engineering capability of an organisation. Cost estimating tools become outdated and need changing in order to reflect the new environment. This is essential, since cost estimating is the start of the cost management process and influences the `go', `no go' decisions concerning a new product development. This paper examines both traditional and more recent developments in order to highlight their advantages and limitations. The analysis includes parametric estimating, feature based costing, artificial intelligence, and cost management techniques. This study was deemed necessary because recent investigations carried out by Cranfield University highlighted that many concurrent engineering companies are not making efficient, wide spread use of existing estimating and cost management tools. In order to promote more efficient use of the discussed estimating processes within the twenty first century, this paper highlights the work of a leading European aerospace manufacturer and their efforts to develop a more seamless estimating environment. Furthermore, a matrix is developed that illustrates particular concurrent engineering environments to which each technique is aptly suited.

Environment Throughout Product; Christopher Rush; Dr. Rajkumar Roy

2000-01-01T23:59:59.000Z

170

NREL: Energy Analysis - Solar Technology Analysis  

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

Solar Technology Analysis Solar Technology Analysis NREL conducts analysis to support research and development done by the Solar Energy Technologies Program in three major technology areas: concentrating solar power; solar electricity, also known as photovoltaics or PV; and solar heating and lighting. For example, in the area of photovoltaics, EERE's systems modeling and analysis activity rigorously assesses the performance, reliability, installed costs, and levelized energy costs (LECs) of a wide variety of flat-plate PV system configurations and applications. R&D goals, which are supported by solar technology analysis, include: Investigating the steps needed to improve the impact of PV technologies in the marketplace through technical R&D, market analyses, and value and policy analyses

171

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network (OSTI)

Economic Profile of the California Energy Industry Analysisand R.L. Cooper, "California Energy Outlook," LawrenceDivision Analysis of the California Energy Industry Energy

Authors, Various

2010-01-01T23:59:59.000Z

172

NREL: Energy Analysis - Jaquelin Cochran  

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

Jaquelin Cochran Jaquelin Cochran Photo of Jaquelin Cochran Jaquelin Cochran is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Senior Energy Analyst - Supervisor On staff since June 2009 Phone number: 303-275-3766 E-mail: jaquelin.cochran@nrel.gov Areas of expertise Grid integration of renewable energy, demand response Natural gas and renewable energy International energy efficiency Energy and development Primary research interests Policy and market analyses in support of grid integration Low emissions development strategies Education and background training Ph.D. in energy and resources group, University of California, Berkeley, 2007 M.A. in energy and resources group, University of California, Berkeley, 2001 B.A. in public policy/physics, Pomona College, 1995

173

NREL: Energy Analysis - Partnerships  

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

Foundation Antares Group, Inc. Arthur D. Little AWS Scientific Center for Clean Air Policy Center for Energy and Environmental Policy (CEEP - University of Delaware) Center for...

174

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

U.S. Energy Information Administration (EIA)

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

175

NREL: Energy Analysis - Kermit Witherbee  

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

Kermit Witherbee Kermit Witherbee Photo of Kermit Witherbee Kermit Witherbee is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Geologist/Analyst On staff since January 2011 Phone number: 303-275-3882 E-mail: kermit.witherbee@nrel.gov Areas of expertise Renewable and nonrenewable energy resource assessments Land use planning and NEPA Development and implementation of minerals and energy policy Geothermal leasing and permitting Minerals exploration and development Primary research interests Policy implications for geothermal resources development Geothermal resource assessments Geothermal exploration and development Education and background training Continuing Education at CSM and UC Boulder Borehole geophysics

176

NREL: Energy Analysis - Jordan Macknick  

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

Jordan Macknick Jordan Macknick Photo of Jordan Macknick Jordan Macknick is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy and Environmental Analyst On staff since September 2009 Phone number: 303-275-3828 E-mail: jordan.macknick@nrel.gov Areas of expertise Renewable energy technological characterizations Database development Policy analysis Primary research interests Interface of energy and water in policy planning Environmental impacts of renewable energy technologies Renewable energy deployment in developing countries Education and background training M.E.Sc. in transboundary natural resource policy, Yale School of Forestry and Environmental Studies, New Haven, CT, 2009 B.A. in mathematics and environmental studies, Hamline University,

177

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

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

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

2011-12-12T23:59:59.000Z

178

NREL: Energy Analysis - Austin Brown  

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

Austin Brown Photo of Austin Brown Austin Brown is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Analyst (Strategic Planning) On staff...

179

NREL: Energy Analysis - Paul Schwabe  

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

August 2008 Phone number: 303-384-7468 E-mail: paul.schwabe@nrel.gov Areas of expertise Electricity market financial analysis Natural gas volume and revenue forecasting Energy...

180

NREL: Energy Analysis - Barry Friedman  

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

Renewable Energy Laboratory). 28 pp.; NREL Report No. PR-6A20-55130. Friedman, B.; Jordan, P.; Carrese, J. (2011). Solar Installation Labor Market Analysis. 75 pp.; NREL Report...

Note: This page contains sample records for the topic "analysis energy estimates" 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

Energy Efficiency Incentives Analysis Financial Analysis of Incentive  

E-Print Network (OSTI)

Energy Efficiency Incentives Analysis i LBNL-1598E Financial Analysis of Incentive Mechanisms to Promote Energy Efficiency: Case Study of a Prototypical Southwest Utility Technical Appendices Peter Office of Energy Efficiency and Renewable Energy, Weatherization and Intergovernmental Program

182

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

SciTech Connect

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

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

2004-11-09T23:59:59.000Z

183

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

SciTech Connect

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

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

2007-03-23T23:59:59.000Z

184

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

SciTech Connect

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

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

2006-03-07T23:59:59.000Z

185

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

SciTech Connect

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

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

2003-03-03T23:59:59.000Z

186

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

SciTech Connect

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

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

2002-02-15T23:59:59.000Z

187

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

SciTech Connect

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

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

2004-03-09T23:59:59.000Z

188

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

SciTech Connect

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

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

2006-03-07T23:59:59.000Z

189

Nuclear & Uranium - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

190

Markets & Finance - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

191

Natural Gas - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

192

Oregon - State Energy Profile Analysis - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Profile Analysis Print State Energy ... the electric power sector is the ... a renewable energy portfolio standard requiring the state's largest ...

193

Total Energy - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

194

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network (OSTI)

Electrical Energy Consumption in California: Data Collection and Analysis,"Electrical Energy Consumption in California: Data Collection and Analysis,Electrical Energy Consumption in California; Data Collection and Analysis,

Authors, Various

2010-01-01T23:59:59.000Z

195

NREL: Energy Analysis: Resource Assessment  

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

Resource Assessment Resource Assessment NREL has developed maps and tools to conduct renewable energy resource assessments at the state, national and international level. Around the world, interest is growing in renewable energy as a strategy to mitigate greenhouse gas emissions and increase energy security. The starting point for new renewable energy projects is a characterization of the renewable resources available across a region, a resource assessment. NREL uses geospatial data sets to identify regions that are appropriate for renewable development and those that should be excluded such as water bodies, urban areas, cropland, forests, very steep terrain, and protected areas. Once resource data are available for a region, NREL can estimate the theoretical potential, or upper limit, for renewable energy in an area.

196

Energy Analysis Models, Tools and Software Technologies - Energy ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

197

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

Science Conference Proceedings (OSTI)

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

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

2012-10-01T23:59:59.000Z

198

Ecuador - Analysis - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ... U.S. Energy Information Administration. ...

199

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research ...

200

Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. ... Country energy information, detailed and overviews. Highlights

Note: This page contains sample records for the topic "analysis energy estimates" 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

Maryland - State Energy Profile Analysis - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Comprehensive data summaries, comparisons, analysis, ... Profile AnalysisPrint State Energy Profile ... The state is backing construction of a large ...

202

Southeast Regional Clean Energy Policy Analysis | Department...  

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

Southeast Regional Clean Energy Policy Analysis Southeast Regional Clean Energy Policy Analysis This report covers the states that largely fall into the Southeastern Reliability...

203

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you’ll find marketing summaries of energy analysis models, tools, and software ...

204

Federal Energy Management Program: Water Efficiency Analysis...  

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

Analysis and Evaluation to someone by E-mail Share Federal Energy Management Program: Water Efficiency Analysis and Evaluation on Facebook Tweet about Federal Energy Management...

205

NANA Strategic Energy Plan & Energy Options Analysis  

SciTech Connect

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

Jay Hermanson; Brian Yanity

2008-12-31T23:59:59.000Z

206

Total Energy - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. ... is the U.S. Energy Information Administration's primary report of recent energy statistics.

207

NREL: Energy Analysis - Sadie Cox  

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

Sadie Cox Sadie Cox Photo of Sadie Cox Sadie Cox is member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. International Energy Analyst On staff since April 2009 Phone number: 303-384-7391 E-mail: sadie.cox@nrel.gov Areas of expertise International market analysis Low emissions development planning International coordination to support climate programs Primary research interests Energy and development Renewable energy markets in Africa Microfinance in West African countries Ecological innovation Education and background training M.A. in global finance, trade and economic integration, University of Denver, 2009 B.A. in economics and international affairs, University of Colorado - Boulder, 2005 Prior work experience Graduate Assistant, Josef Korbel School of International Studies,

208

NREL: Energy Analysis - Thomas Jenkin  

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

Thomas Jenkin Thomas Jenkin Photo of Thomas Jenkin. Thomas Jenkin is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Energy Analyst On staff since August 2004 Phone number: 202-488-2219 E-mail: thomas.jenkin@nrel.gov Areas of expertise Valuation and risk management Market structure and operation of natural gas and power markets Economic analysis of storage technologies Research and development (R&D) Primary research interests R&D and commercialization of energy technologies Risk and uncertainty The value of storage Economic and market analysis of renewable energy technologies Education and background training MPPM, Yale School of Management D.Phil. in physics, University of Oxford B.Sc. in physics, University of Bristol Teaching experience

209

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.

210

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

SciTech Connect

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

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

1993-11-01T23:59:59.000Z

211

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

SciTech Connect

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

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

1997-03-01T23:59:59.000Z

212

NREL: Energy Analysis - Anelia Milbrandt  

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

Anelia Milbrandt Anelia Milbrandt Photo of Anelia Milbrandt. Anelia Milbrandt is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. She is also a member of the NREL International Studies Team. Senior Energy Resources Analyst On staff since 2003 Phone number: 303-275-4633 Email: anelia.milbrandt@nrel.gov Areas of expertise Biomass resource assessment Geospatial modeling and analysis Integrated resource, infrastructure, and market analysis Primary research interests Sustainable biomass resource development Global natural resources and population dynamics Renewable energy programs in developing countries Education and background training M.S. in geography, University of Sofia, Bulgaria, 1999 Prior work experience GIS Specialist, MN State Legislature, 2001 - 2003

213

Environmental Energy Technologies Division Energy Analysis Department Community Wind Power  

E-Print Network (OSTI)

Environmental Energy Technologies Division · Energy Analysis Department Community Wind Power projects * standard US commercial wind development #12;Environmental Energy Technologies Division · Energy % Community- Owned Community- Owned Wind Capacity (MW) Total Wind Capacity (MW) #12;Environmental Energy

214

NETL: Energy Analysis - Instructions  

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

Analysis Analysis Instructions Using the Database In this search form you can search using the following tools: Title and Synopsis/Keywords Author Program/Technology Publication Type Publication Date Title and Synopsis/Keywords Enter as many keywords as needed but remember that all keywords would have to be included within the Title/Synopsis to receive a return. Select the KEYWORD SEARCH checkbox if you want it to return on any word. For greater returns, limit the amount of keywords entered per search. Use the plus sign (+) to search for a multi-word phrase. For example, to find the phrase "2010 Coal Database", enter "2010+Coal+Database". This will return results that contain matches on this three word phrase. Author It is best to search on an author's last name since first name might be stored as initials or an abbreviation such as Tom or Thomas.

215

Environment - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major ... A Briefing Paper on the Energy Information Administration's Analysis and Report Prepared ...

216

Stoneley Analysis | Open Energy Information  

Open Energy Info (EERE)

Stoneley Analysis Stoneley Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Stoneley Analysis Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Log Techniques Parent Exploration Technique: Acoustic Logs Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Stoneley Analysis: A type of large-amplitude interface, or surface, wave generated by a sonic tool in a borehole. Stoneley waves can propagate along a solid-fluid interface, such as along the walls of a fluid-filled borehole and are the main low-frequency component of signal generated by sonic sources in boreholes. Analysis of Stoneley waves can allow estimation of the locations

217

Energy Policy & Technology Analysis | Global and Regional Solutions  

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

Sustainable Energy Technologies Department Energy Policy and Technology Analysis The group's core focus is on long-term integrated energy, environmental, and economic analysis using the MARKAL family of models, a well-established tool for energy systems analysis. With 30 years of development under the auspices of the International Energy Agency, MARKAL has approximately 100 user institutions in more than 50 countries. A bottom-up analysis with explicit technology representation, the models include a physical description of energy technologies, and allow for "well-to-wheel" comparison of technologies and technological pathways. They study the impact of technological change/progress on energy markets, and provide a technology-rich basis for estimating energy dynamics over a multi-period

218

Home Energy Score: Analysis & Improvements to Date  

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

Home Energy Score: Home Energy Score: ďż˝ Analysis & Improvements to Date ďż˝ Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 24, 2012 1 eere.energy.gov Presentation Overview 1) Background 2) Program Improvements 3) Analysis: Efficacy of Tool & Program - Asset Perturbations - Behavior Perturbations - Estimated Energy Use vs. Actual Energy Use (from utility bills) - Time Required for Assessment and Scoring - Blower Door Test Analysis 4) Next Steps & Ongoing Analysis 2 eere.energy.gov 1. Background ďż˝ 3 eere.energy.gov Guiding Principles * Information must be credible, reliable, and replicable. * Information must be transparent and easy to understand. ďż˝ * Implementation costs must be affordable. * Program must include effective quality assurance.

219

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

DOE Green Energy (OSTI)

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

Not Available

2011-02-01T23:59:59.000Z

220

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

Science Conference Proceedings (OSTI)

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

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

2012-06-10T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

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

222

Average estimate for additive energy in prime field  

E-Print Network (OSTI)

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

Glibichuk, Alexey

2011-01-01T23:59:59.000Z

223

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

224

NREL: Energy Analysis - John Lewis  

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

John Lewis John Lewis Photo of John Lewis. John Lewis is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Scientist On staff since 2010 Phone number: 303-275-3021 E-mail: john.lewis@nrel.gov Areas of expertise Data analysis and visualization Energy informatics Project management Client interfacing Hydrogen and fuel cells Primary research interests Data science Information visualization Energy systems integration Smart grid technologies and deployment Transportation Education and background training Ph.D. in chemical engineering, California Institute of Technology, Pasadena, CA, 1996 M.S. in chemical engineering, California Institute of Technology, Pasadena, CA, 1993 B.S. in chemical engineering, Texas A&M University, College Station,

225

NREL: Energy Analysis - Garvin Heath  

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

Garvin Heath Garvin Heath Photo of Garvin Heath Garvin Heath is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Senior Scientist On staff since January 2008 Phone number: 303-384-7460 E-mail: garvin.heath@nrel.gov Areas of expertise Life cycle assessment Sustainability analysis Air quality modeling Exposure assessment Primary research interests Health and environmental impacts of energy technologies, including externalities Life cycle assessment Sustainability Education and background training Ph.D. in energy and resources, UC Berkeley, 2006 M.S. in environmental engineering (air quality), UC Berkeley, 2003 Prior work experience Senior Scientist, Integral Consulting Inc., Broomfield CO (2006-2007) Environmental Engineer, U.S. EPA, Washington DC (1994-1999)

226

NREL: Energy Analysis - Trieu Mai  

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

Trieu Mai Trieu Mai Photo of Trieu Mai Trieu Mai is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Engineer - Electricity Section Supervisor On staff since 2009 Phone number: 303-384-7566 E-mail: trieu.mai@nrel.gov Areas of expertise Electric sector capacity expansion modeling High penetration renewable scenario analysis Linear programming Primary research interests Implications of large-scale deployment of renewable energy Integration of renewable technologies into the power system Education and background training Ph.D. in theoretical physics, University of California, Santa Cruz, CA, 2007 M.S. in physics, University of California, Santa Cruz, CA, 2004 B.S. in physics, University of California, Davis, CA, 2002 Prior work experience

227

Institutional analysis for energy policy  

SciTech Connect

This report summarizes principles, techniques, and other information for doing institutional analyses in the area of energy policy. The report was prepared to support DOE's Regional Issues Identification and Assessment (RIIA) program. RIIA identifies environmental, health, safety, socioeconomic, and institutional issues that could accompany hypothetical future scenarios for energy consumption and production on a regional basis. Chapter 1 provides some theoretical grounding in institutional analysis. Chapter 2 provides information on constructing institutional maps of the processes for bringing on line energy technologies and facilities contemplated in RIIA scenarios. Chapter 3 assesses the institutional constraints, opportunities, and impacts that affect whether these technologies and facilities would in fact be developed. Chapters 4 and 5 show how institutional analysis can support use of exercises such as RIIA in planning institutional change and making energy policy choices.

Morris, F.A.; Cole, R.J.

1980-07-01T23:59:59.000Z

228

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

229

Strategic Energy Analysis at NREL (Presentation)  

3. Some Key Themes for Analysis. Core Areas: Market, Technology and Policy Analysis. Energy Modeling Analysis. Renewables, Hydrogen, Alt. Fuels. Risk, ...

230

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

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

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

231

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

Science Conference Proceedings (OSTI)

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

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

2000-07-13T23:59:59.000Z

232

NREL Market Analysis | Open Energy Information  

Open Energy Info (EERE)

NREL Market Analysis NREL Market Analysis Jump to: navigation, search Tool Summary Name: NREL Market analysis Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Market analysis Website: www.nrel.gov/analysis/market_analysis.html NREL Market analysis Screenshot References: NREL Market analysis[1] Summary "The laboratory's market analysis helps increase the use of renewable energy (RE) and energy efficiency (EE) technologies in the marketplace by providing strategic information to stakeholders interested in rapidly changing electricity markets. Our high-quality and objective crosscutting assessments and analysis support informed decision making. Primary focuses include:" Energy Technology/Program Cost, Performance, and Market Data

233

New analysis techniques for estimating impacts of federal appliance efficiency standards  

SciTech Connect

Impacts of U.S. appliance and equipment standards have been described previously. Since 2000, the U.S. Department of Energy (DOE) has updated standards for clothes washers, water heaters, and residential central air conditioners and heat pumps. A revised estimate of the aggregate impacts of all the residential appliance standards in the United States shows that existing standards will reduce residential primary energy consumption and associated carbon dioxide (CO{sub 2}) emissions by 89 percent in 2020 compared to the levels expected without any standards. Studies of possible new standards are underway for residential furnaces and boilers, as well as a number of products in the commercial (tertiary) sector, such as distribution transformers and unitary air conditioners. The analysis of standards has evolved in response to critiques and in an attempt to develop more precise estimates of costs and benefits of these regulations. The newer analysis elements include: (1) valuing energy savings by using marginal (rather than average) energy prices specific to an end-use; (2) simulating the impacts of energy efficiency increases over a sample population of consumers to quantify the proportion of households having net benefits or net costs over the life of the appliance; and (3) calculating marginal markups in distribution channels to derive the incremental change in retail prices associated with increased manufacturing costs for improving energy efficiency.

McMahon, James E.

2003-06-24T23:59:59.000Z

234

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

SciTech Connect

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

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

1995-01-01T23:59:59.000Z

235

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

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

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

236

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

SciTech Connect

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

Mathew, Paul

2008-10-01T23:59:59.000Z

237

Energy, Environmental, and Economic Systems Analysis  

E-Print Network (OSTI)

Energy, Environmental, and Economic Systems Analysis Electricity Market Complex Adaptive System (EMCAS): A New Long-term Power Market Simulation Tool Opportunity Decision and Information Sciences Division Center for Energy, Environmental & Economic Systems Analysis Energy systems are being privatized

Kemner, Ken

238

Estimating Energy Efficiency Impacts Using Climate Wise "Wise Rules"  

E-Print Network (OSTI)

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

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

1998-04-01T23:59:59.000Z

239

Economic analysis of electric energy storage.  

E-Print Network (OSTI)

??This thesis presents a cost analysis of grid-connected electric energy storage. Various battery energy storage technologies are considered in the analysis. Life-cycle cost analysis is… (more)

Poonpun, Piyasak

2006-01-01T23:59:59.000Z

240

Energy Analysis Department Who Owns Renewable Energy Certificates  

E-Print Network (OSTI)

Energy Analysis Department Who Owns Renewable Energy Certificates: An Exploration of Policy Options about different approaches to clarifying the ownership of renewable energy certificates (RECs), focusing the output from certain Qualifying Facilities, including cogeneration and renewable energy generators · PURPA

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Nate Blair  

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

Nate Blair Nate Blair Photo of Nate Blair. Nate Blair is the group manager of the Energy Forecasting and Modeling in the Strategic Energy Analysis Center. Group Manager On staff since September 2002 Phone number: 303-384-7426 E-mail: nate.blair@nrel.gov Areas of expertise Linear programming with General Algebraic Modeling System (GAMS) Building and system simulation tools, especially the TRaNsient SYstem Simulation Program (TRNSYS) EES Concentrating solar power system modeling Experimental solar water-heating experience Primary research interests Macroeconomic energy-impact analysis Wind-power market modeling Transient power system modeling Building performance measurement Education and background training M.B.A., 2002, University of Wisconsin-Madison School of Business M.S. in mechanical engineering, 1993, University of

242

NREL: Energy Analysis - Katherine Young  

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

Katherine Young, P.E. Katherine Young, P.E. Photo of Katherine Young Katherine Young is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Engineer On staff since June 2008 Phone number: 303-384-7402 E-mail: katherine.young@nrel.gov Areas of expertise Geothermal planning and opportunities Database planning and development Primary research interests Geothermal and hydroelectric energy opportunities U.S. DOE Geothermal Program Information Education and background training Continuing Education at University of Colorado in Boulder and Denver Groundwater modeling Quantitative methods in water resource engineering Water resource engineering and management Independent study in groundwater hydrology M.S. in geochemistry and isotope geology, 2002, University of

243

Energy utilization analysis of buildings  

DOE Green Energy (OSTI)

The accurate calculation of the energy requirements and heating and cooling equipment sizes for buildings is one of the most important, as well as one of the most difficult, problems facing the engineer. The fundamental principles utilized in the procedures developed by American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) are explained and brief descriptions of the computer programs using these procedures are given. Such computer programs generally are capable of: simulating the thermal response of a building to all sources of heat gains and losses, accounting for all non-thermal energy requirements in the building or on the sites, translating the building operating schedules into energy demand and consumption, identifying the peak capacity requirements of heating and cooling equipment, and performing an economic analysis that would select the most economical overall owning and operating cost equipment and energy source that minimize the building's life cycle cost.

Lokmanhekim, M.

1978-06-01T23:59:59.000Z

244

Analysis of federal incentives used to stimulate energy consumption  

SciTech Connect

Conclusions of an analysis which identifies and quantifies Federal incentives that have increased the consumption of coal, oil, natural gas, and electricity are summarized. Data on estimated cost of incentives used to stimulate energy consumption by incentive type and energy source are tabulated for coal, oil, gas, and electricity. It is suggested that the examination of past incentives can be useful in developing guidelines and limits for the use of incentives to stimulate consumption of solar energy. (MCW)

Cole, R.J.; Cone, B.W.; Emery, J.C.; Huelshoff, M.; Lenerz, D.E.; Marcus, A.; Morris, F.A.; Sheppard, W.J.; Sommers, P.

1981-04-01T23:59:59.000Z

245

Environmental Energy Technologies Division Energy Analysis Department Renewables Portfolio Standards  

E-Print Network (OSTI)

Energy Technologies Division · Energy Analysis Department State RPS Policies: 21 States and D.C% by 2020 MT: 15% by 2015 DE: 10% by 2019 DC: 11% by 2022 WA: 15% by 2020 #12;Environmental Energy Texas MD Class I DC Class I #12;Environmental Energy Technologies Division · Energy Analysis Department

246

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

247

HVAC system analysis: energy audit review  

SciTech Connect

Although most energy audits do not investigate HVAC systems in as much detail as would most design consultants, audit data can be most informative. For certain types of buildings, air-conditioning energy usage can be estimated by its absence from energy bills during winter months, and heating energy usage can be estimated by its absence from energy bills during the summer months. Cooling and heating energy usage can be even more accurately broken down when a fossil fuel is used for heating while electrical energy is used for cooling. It is easy to establish fairly accurate energy consumption estimates for lighting, fan motors, and pumps; this can be done by verifying their loads and multiplying them by known operating hours. The numerous notes contained in some energy audits may also provide ideas for retrofitting energy-consuming areas.

Harmon, K.S.

1983-01-01T23:59:59.000Z

248

Estimated Rare Earth Reserves and Deposits | Department of Energy  

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

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

249

Estimating the Observed Atmospheric Response to SST Anomalies: Maximum Covariance Analysis, Generalized Equilibrium Feedback Assessment, and Maximum Response Estimation  

Science Conference Proceedings (OSTI)

Three multivariate statistical methods to estimate the influence of SST or boundary forcing on the atmosphere are discussed. Lagged maximum covariance analysis (MCA) maximizes the covariance between the atmosphere and prior SST, thus favoring ...

Claude Frankignoul; Nadine Chouaib; Zhengyu Liu

2011-05-01T23:59:59.000Z

250

Residential Energy Consumption Survey (RECS) - Analysis ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy ... Apartments in buildings with 5 or more units use less energy than other home types ... California ...

251

NREL: Energy Analysis - Emily K. Newes  

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

U.S. Peace Corps, Honduras (2000-2002) Selected publications International Trade of Wood Pellets (Brochure). Energy Analysis, NREL (National Renewable Energy Laboratory). (2013)....

252

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research institutions have ...

253

Vulnerability Analysis of Energy Delivery Control Systems  

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

The Vulnerability Analysis of Energy Delivery Control Systems report, prepared by Idaho National Laboratory, describes the common vulnerabilities on energy sector control systems, and provides...

254

Energy Engineering and Systems Analysis - Home  

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

Energy Engineering and Systems Analysis U.S. Department of Energy Energy Engineering and Systems Analysis U.S. Department of Energy Search Argonne ... Search Decision and Information Sciences Energy Systems FutureGrid Infrastructure Assurance Center Intelligence Analysis National Security Nuclear Engineering Transportation Research and Analysis Computing Center Transportation Technology R&D Center EESA Intranet Image of battery development team standing by an electric vehicle in Argonne's Ev-Smart Grid Interoperability Center Features eesa success stories ebr-2 Argonne's Major Nuclear Energy Milestones Argonne's Nuclear Energy Exhibit Argonne's Nuclear Energy Exhibit Argonne's Glassblowing Studio Glassblowing Studio Reactor Advanced Burner Test Reactor Preconceptual Design Argonne Experts Guide Argonne Experts Guide

255

NREL: Energy Analysis - Andrew Weekley  

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

Andrew Weekley Andrew Weekley Andrew Weekley is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Software Engineer On staff since January 2013 Phone number: 303-275-3680 E-mail: andrew.weekley@nrel.gov Areas of expertise MATLAB Expert systems Scientific data analysis Primary research interests Time series segmentation and classification Image segmentation and classification Machine intelligent algorithms Education and background training B.A. in physics and mathematics, University of Colorado, Boulder, 1990 Prior work experience Software Engineer, National Center for Atmospheric Research (NCAR), Boulder, CO, (1997-2012) Member Technical Staff, Raytheon (formerly Hughes), Aurora, Co, (1990-1997) Selected publications Weekley, R.A.; Goodrich, R. K.; and Cornman, L. B. (2010). "An Algorithm

256

NREL: Energy Analysis - Chad Augustine  

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

Chad Augustine Chad Augustine Photo of Chad Augustine Chad Augustine is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Engineer/Analyst On staff since March 2009 Phone number: 303-384-7382 E-mail: chad.augustine@nrel.gov Areas of expertise Techno-economic modeling of Enhanced Geothermal Systems (EGS) Geothermal resource assessment High pressure, high temperature reaction systems Primary research interests EGS demonstration and deployment Advanced drilling systems research Thermodynamics and process modeling of binary power plant systems Education and background training Ph.D. in chemical engineering, Massachusetts Institute of Technology, Cambridge, MA M.S. in chemical engineering Practice, Massachusetts Institute of

257

Quantitative Financial Analysis of Alternative Energy Efficiency Shareholder Incentive Mechanisms  

E-Print Network (OSTI)

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

Cappers, Peter

2010-01-01T23:59:59.000Z

258

NREL: Energy Analysis - Vehicles and Fuels Research Analysis  

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

303-275-4451 Access more information on all of our Staff Analysts Printable Version Energy Analysis Home Capabilities & Expertise Technology Analysis Biomass Buildings...

259

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

Science Conference Proceedings (OSTI)

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

Elie Azar; Carol Menassa

2010-12-01T23:59:59.000Z

260

Strategic Energy Analysis (Presentation), NREL (National Renewable Energy Laboratory)  

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

NREL Planning & Analysis NREL Planning & Analysis Dr. Robin Newmark Strategic Energy Analysis Center World Renewable Energy Forum May 16, 2012 Denver, Colorado NREL/PR-6A20-54950 Strategic Energy Analysis Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory RE Resource Mapping Innovation for Our Energy Future National Renewable Energy Laboratory Resource Solar PV/CSP) Wind Geothermal Water Power Biopower Theoretical Potential 206,000 GW (PV) 11,100GW (CSP) 8,000 GW (onshore)

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Melissa Hudman  

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

Melissa Hudman Melissa Hudman Photo of Melissa Hudman. Melissa Hudman is the lead administrative assistant for the Strategic Energy Analysis Center. Administrative Assistant On staff since July 2011 Phone number: 303-384-7985 E-mail: melissa.hudman@nrel.gov Areas of expertise Media relations Project coordination Primary research interests Renewable fuels and vehicles Residential energy efficiency Prior work experience Advertising Coordinator, Colorado Serenity Magazine (2008) Substitute Teacher, Jeffco School District (2007) Media Relations Specialist, Business Wire (2006) Client Service Representative, Business Wire (2004) Education and background training B.A. in advertising. Texas Tech University, Lubbock, TX. 2004. Selected publications and websites R.E.A.C.T.: Renewable Energy Activities - Choices for Tomorrow; Teacher's

262

1 Energy Markets and Policy Group Energy Analysis Department An Analysis of the Effects of  

E-Print Network (OSTI)

1 Energy Markets and Policy Group · Energy Analysis Department An Analysis of the Effects and Policy Group · Energy Analysis Department Effects of Residential PV Systems on Home Sales Prices · Future Areas For Research · Questions? #12;3 Energy Markets and Policy Group · Energy Analysis Department

263

NREL: Energy Analysis - News Archive 2013  

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

| 2004 | 2003 | 2002 | 2001 December 2013 NREL Analysis: Making an Impact Renewable Energy Data Book Details Growing Renewables Industry in 2012 NREL Analysis and Analysts in...

264

NREL: Energy Analysis - Models and Tools  

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

Most of these tools can be applied on a global, regional, local, or project basis. Energy Data for Decision Makers Crosscutting Analysis Models and Tools Technology Analysis Models...

265

NREL: Energy Analysis - Electric Infrastructure Systems Technology...  

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

Technology Analysis NREL's energy analysis supports distribution and interconnection R&D, which is responsible for distributed resources' system integration. Industrial...

266

RETScreen International Clean Energy Project Analysis Tool | Open Energy  

Open Energy Info (EERE)

RETScreen International Clean Energy Project Analysis Tool RETScreen International Clean Energy Project Analysis Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RETScreen International Clean Energy Project Analysis Tool Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: www.retscreen.net/ang/home.php Equivalent URI: cleanenergysolutions.org/content/retscreen-international-clean-energy- Language: String representation "English,Arabic, ... Urdu,Vietnamese" is too long. Policies: Deployment Programs DeploymentPrograms: Training & Education The RETScreen International Clean Energy Project Analysis Software is a unique decision-support tool. The software, provided free-of-charge, can be used worldwide to evaluate the energy production and savings, costs,

267

Virginia - State Energy Profile Analysis - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Petroleum prices, supply and demand information from the Energy Information Administration ... Financial market analysis and financial data for major ...

268

Texas - State Energy Profile Analysis - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Petroleum prices, supply and demand information from the Energy Information Administration ... Financial market analysis and financial data for major ...

269

NREL: Energy Analysis - Joyce McLaren  

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

McLaren is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Senior Energy Analyst On staff since February 2009 Phone number:...

270

Energy flow analysis for curved beams  

Science Conference Proceedings (OSTI)

This paper presents an energy model for the medium- and high-frequency analysis of Love–Kirchhoff curved beams. This model introduced by Nefske and Sung [Statistical Energy Analysis NCA 3

A. Le Bot; M. N. Ichchou; L. Jezequel

1997-01-01T23:59:59.000Z

271

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

mistrust: an analytical history of oil and gas estimation,"9 A study of the history of oil and gas reserve estimation

Authors, Various

2013-01-01T23:59:59.000Z

272

3129 Commercial Analysis 20130205 LBNL - Home - Energy ...  

Commercialization-Analysis-&Roadmap-- ... the’energy’contentofthe’gas’and ... commercialized,’ it’ must’ meet’ a’ market’ demand—a demand ...

273

NREL: Energy Analysis - Jobs and Economic Competitiveness  

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

in the global renewable energy market. NREL's economic competitiveness analysis efforts focus on assessing: jobs creation, workforce development needs, manufacturing...

274

Estimating energy-augmenting technological change in developing country industries  

E-Print Network (OSTI)

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

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

2006-01-01T23:59:59.000Z

275

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

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

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

276

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network (OSTI)

1), S57–S73. CEC (California Energy Commission). 2009. GISGuido Franco. CEC (California Energy Commission). 2009. GISJacque Gilbreath. CEC (California Energy Commission). 2009.

Sathaye, Jayant

2011-01-01T23:59:59.000Z

277

NREL: Energy Analysis - Jeffrey Logan  

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

energy policy and markets Primary research interests Clean energy and carbon markets Renewable energy policy Linkages between climate mitigation and energy security Education...

278

NREL: Energy Analysis - Building Technologies Analysis  

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

energy efficiency, working closely with the building industry and manufacturers; promotes energy and money-saving opportunities to builders and consumers; and works with state and...

279

Energy System Analysis at SINTEF Energy Research  

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

1989. His main areas of work include distributed energy systems, energy system planning, operation and control, ancillary services, frequency and power control, and power flow...

280

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

DOE Green Energy (OSTI)

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

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

1990-01-01T23:59:59.000Z

282

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

Science Conference Proceedings (OSTI)

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

Michael A. Alexander; Siegfried D. Schubert

1990-01-01T23:59:59.000Z

283

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

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

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

284

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

285

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

E-Print Network (OSTI)

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

286

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

E-Print Network (OSTI)

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

Xing, Eric P.

287

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

E-Print Network (OSTI)

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

Langmead, Christopher James

288

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

E-Print Network (OSTI)

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

Banas, Lubomir

289

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

E-Print Network (OSTI)

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

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

2006-01-01T23:59:59.000Z

290

RETScreen Clean Energy Project Analysis Software | Open Energy Information  

Open Energy Info (EERE)

RETScreen Clean Energy Project Analysis Software RETScreen Clean Energy Project Analysis Software Jump to: navigation, search Tool Summary Name: RETScreen Clean Energy Project Analysis Software Agency/Company /Organization: Natural Resources Canada Sector: Energy Focus Area: Biomass, - Biomass Combustion, - Biomass Gasification, Buildings, Energy Efficiency, - Central Plant, Geothermal, Greenhouse Gas, Ground Source Heat Pumps, Hydrogen, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, - Solar Ventilation Preheat, Water Power, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Finance, Market analysis, Pathways analysis, Policies/deployment programs, Resource assessment Resource Type: Software/modeling tools, Workshop User Interface: Desktop Application, Spreadsheet

291

Estimation of wind characteristics at potential wind energy conversion sites  

DOE Green Energy (OSTI)

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

Not Available

1979-10-01T23:59:59.000Z

292

Estimation of wind characteristics at potential wind energy conversion sites  

SciTech Connect

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

1979-10-01T23:59:59.000Z

293

Analysis of the energy impacts of the DOE Appropriate Energy Technology Small Grants Program: methods and results  

SciTech Connect

The study outlines methods for assessing the energy savings of projects funded by DOE in the Appropriate Technology Program (AT) and the way to apply these methods to obtain estimates of energy impacts. The energy savings potential was assessed for 57 projects from a national population of 584. Program energy savings were estimated from project savings using statistical inference. Details of the approach are discussed. Chapter 2 presents and discusses estimates of direct energy savings and Chapter 3 discusses methods and results of the economic analysis. Chapter 4 examines the indirect energy savings. Chapter 5 presents estimates of program energy savings and the methods used to obtain them. The report concludes with a discussion of how improved project selection can increase program energy savings and presents two approaches for conducting future energy impact studies. (MCW)

Lucarelli, B.; Kessel, J.; Kay, J.; Linse, J.; Tompson, S.; Homer, M.

1981-08-01T23:59:59.000Z

294

Thermodynamic Analysis for Energy Conservation  

E-Print Network (OSTI)

This paper describes a methodology for performing a thermodynamic analysis of a process, and it demonstrates how such a study can be useful in identifying areas in the process with the greatest potential for improvement in energy use. The basis is a typical modern ethane cracker. The processing sequence was divided into subsections and the 'lost work' of each section quantified. Combustion and radiant heat transfer in the furnaces and boilers alone result in the loss of 50% of the availability that enters the plant. Based on these data, some suggestions for significant process improvement are analyzed. For situations where entropy calculations are impractical, a generalized check list is presented which identifies areas of potential economic impact for the process developer/designer, as a partial substitute for the full analysis.

Kenney, W. F.

1981-01-01T23:59:59.000Z

295

Energy Information Administration--Energy and Greenhouse Gas Analysis  

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

and Greenhouse Gas Analysis and Greenhouse Gas Analysis Energy and Greenhouse Gas Analysis Posted Date: October 1999 Page Last Modified: August 2007 This section contains analysis covering all sectors of the United States and issues related to the energy use, energy efficiency, and carbon emission indicators. New analysis will be added to the web site as they become available. All Sectors / Residential / Commercial / Manufacturing / Transportation All Sectors United States Energy Usage and Efficiency: Measuring Changes Over Time, increasing emphasis has been placed on energy efficiency as a vital component of the United States' energy strategy. This was evident with the passing of the Energy Policy Act of 1992 (EPACT) [1]. EPACT promotes energy-efficiency programs such as building energy-efficiency standards,

296

Analysis & Projections - U.S. Energy Information Administration (EIA) -  

Gasoline and Diesel Fuel Update (EIA)

Analysis & Projections Analysis & Projections Glossary › FAQS › Overview Projection Data Monthly Short-Term Forecasts to 2014 Annual Projections to 2040 International Projections Analysis & Projections Most Requested Annual Energy Outlook Related Congressional & Other Requests International Energy Outlook Related Presentations Short-Term Outlook Related Testimony All Reports Models & Documentation Full report Fuel Competition in Power Generation and Elasticities of Substitution Release date: June 2012 This report analyzes the competition between coal, natural gas and petroleum used for electricity generation by estimating what is referred to by economists as the elasticity of substitution among the fuels. The elasticity of substitution concept measures how the use of these fuels

297

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

SciTech Connect

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

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

2007-07-01T23:59:59.000Z

298

Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications  

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

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

299

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

E-Print Network (OSTI)

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

Klytchnikova, Irina

2006-01-01T23:59:59.000Z

300

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

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

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

U.S. Energy Information Administration (EIA)

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

302

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

303

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

Science Conference Proceedings (OSTI)

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

Love, Lonnie J [ORNL

2012-12-01T23:59:59.000Z

304

Estimating energy-augmenting technological change in developing country industries  

E-Print Network (OSTI)

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

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

2006-01-01T23:59:59.000Z

305

Estimating wind energy using extrapolated data of Cameron highlands  

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

306

Residential energy-conservation actions: analysis of disaggregate data  

Science Conference Proceedings (OSTI)

The Energy Information Administration recently published data they collected from the National Interim Energy Consumption Survey (NIECS). NIECS includes detailed information on 4081 individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances therein, recent conservation actions taken by the household, and fuel consumption and cost for the April 1978 to March 1979 one-year period. This data set provides a new and valuable resource for analysis. Based on the survey data, about half the household took actions that cut their annual energy use by an estimated 25 percent; these measures yielded a typical payback period of two years. 20 references, 4 figures, 2 tables.

Hirst, E.; Goeltz, R.

1982-01-01T23:59:59.000Z

307

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

Science Conference Proceedings (OSTI)

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

Energy Analysis Program

1998-03-01T23:59:59.000Z

308

NANA Strategic Energy Plan & Energy Options Analysis  

DOE Green Energy (OSTI)

Tribal Energy Program conference in Denver, Colorado. In January 2009, the final SEP report was submitted to NRC.

Jay Hermanson; Brian Yanity

2008-12-31T23:59:59.000Z

309

An Observational Estimate of Inferred Ocean Energy Divergence  

Science Conference Proceedings (OSTI)

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

Kevin E. Trenberth; John T. Fasullo

2008-05-01T23:59:59.000Z

310

NREL: Energy Analysis - Monisha Shah  

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

of climate change and energy policy design on the deployment of energy efficiency and renewable energy Strategies to mitigate both GHGs and local emissions and further economic...

311

NREL: Energy Analysis - Travis Lowder  

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

finance PV risk management Renewable energy financial policy Primary research interests Solar securitization Renewable energy capital market finance Energy and human development...

312

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

U.S. Energy Information Administration (EIA)

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

313

Energy Technology Systems Analysis Program (MARKAL) | Open Energy  

Open Energy Info (EERE)

Energy Technology Systems Analysis Program (MARKAL) Energy Technology Systems Analysis Program (MARKAL) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Technology Systems Analysis Program (MARKAL) Agency/Company /Organization: International Energy Agency Sector: Energy Topics: Co-benefits assessment, Pathways analysis, Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.etsap.org/index.asp Country: Belgium, Canada, Denmark, Finland, France, Germany, Greece, Italy, Japan, South Korea, Netherlands, Norway, Sweden, United States, United Kingdom, Switzerland, Albania, Australia, Austria, Bosnia and Herzegovina, Brazil, Bulgaria, Colombia, Croatia, India, Indonesia, Kazakhstan, Malaysia, New Zealand, China, Philippines, Poland, Portugal, South Africa, Romania, Serbia, Spain, Taiwan, Thailand, Vietnam

314

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

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

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

315

Estimated Rare Earth Reserves and Deposits | Department of Energy  

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

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

316

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

317

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

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

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

318

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

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

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

319

Office of Energy Policy and Systems Analysis | Department of Energy  

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

Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis Revolution Now For four key clean energy technologies, the clean energy future has already arrived. Read more U.S. Energy Sector Vulnerabilities Report A Department of Energy report examines current and potential future impacts of these climate trends on the U.S. energy sector. Read more eGallon eGallon provides a quick and simple metric to allow electric vehicle (EV) drivers to see how much they can save on fuel. Read more EPSA Leadership Melanie A. Kenderdine Director of the Office of Energy Policy and Systems Analysis More about Melanie A. Kenderdine Jonathan Pershing Principal Deputy Director of the Office of Energy Policy and Systems Analysis More about Jonathan Pershing Mike Carr Senior Advisor and EERE Principal Deputy Assistant Secretary

320

Accuracy of Estimates of Atmospheric Large-Scale Energy Flux Divergence  

Science Conference Proceedings (OSTI)

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

Eero Holopainen; Carl Fortelius

1986-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

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

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

322

Evaluation of preliminary data analysis framework in software cost estimation based on ISBSG R9 Data  

Science Conference Proceedings (OSTI)

Previous research has argued that preliminary data analysis is necessary for software cost estimation. In this paper, a framework for such analysis is applied to a substantial corpus of historical project data (ISBSG R9 data), selected without explicit ... Keywords: ISBSG Data R9, Software cost estimation, Software engineering data analysis

Qin Liu; Wen Zhong Qin; Robert Mintram; Margaret Ross

2008-09-01T23:59:59.000Z

323

Earth Tidal Analysis | Open Energy Information  

Open Energy Info (EERE)

Earth Tidal Analysis Earth Tidal Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Earth Tidal Analysis Details Activities (6) Areas (4) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Well Testing Techniques Parent Exploration Technique: Well Testing Techniques Information Provided by Technique Lithology: Enables estimation of in-situ reservoir elastic parameters. Stratigraphic/Structural: Hydrological: Enables estimation of in-situ reservoir hydraulic parameters. Thermal: Dictionary.png Earth Tidal Analysis: Earth tidal analysis is the measurement of the impact of tidal and barometric fluctuations on effective pore volume in a porous reservoir. Other definitions:Wikipedia Reegle

324

State Energy Data System Consumption Estimates Technical Notes  

U.S. Energy Information Administration (EIA)

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

325

Countries - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook › Annual Energy Outlook ... based on historical estimates and forecasts from the latest EIA Short-Term Energy Outlook.

326

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect

Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

Macumber, D.

2012-10-01T23:59:59.000Z

327

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

E-Print Network (OSTI)

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

328

Intelligent Transportation Systems Deployment Analysis System | Open Energy  

Open Energy Info (EERE)

Intelligent Transportation Systems Deployment Analysis System Intelligent Transportation Systems Deployment Analysis System Jump to: navigation, search Tool Summary Name: Intelligent Transportation Systems Deployment Analysis System Agency/Company /Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software/modeling tools Website: idas.camsys.com/ Country: United States Northern America References: http://idas.camsys.com/ The ITS Deployment Analysis System (IDAS) is software developed by the Federal Highway Administration that can be used in planning for Intelligent Transportation System (ITS) deployments. State, regional, and local planners can use IDAS to estimate the benefits and costs of ITS investments - which are either alternatives to or enhancements of traditional highway

329

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

Science Conference Proceedings (OSTI)

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

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

2008-07-08T23:59:59.000Z

330

Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricit...  

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

Contacts Media Contacts Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricity Generation Technologies Speaker(s): Garvin Heath Date: April 11, 2011 -...

331

San Carlos Apache Tribe - Energy Organizational Analysis  

SciTech Connect

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

Rapp, James; Albert, Steve

2012-04-01T23:59:59.000Z

332

Transportation Analysis | Clean Energy | ORNL  

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

Transportation Analysis SHARE Transportation Analysis Transportation Analysis efforts at Oak Ridge National Laboratory contribute to the efficient, safe, and free movement of...

333

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

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides estimates of energy consumption by major end-use sectors developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). SEDS is a database for estimating the consumption of energy by end-use sectors (residential, commercial, industrial, and transportation) and electric utilities annually by state. The goal in maintaining SEDS is to produce historical data series of estimated end-use consumption by state, defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide state energy consumption estimates to the government, policy makers, and the public; and (2) to provide the historical series necessary for EIA's energy models.

Not Available

1992-05-15T23:59:59.000Z

334

Fluid Inclusion Analysis | Open Energy Information  

Open Energy Info (EERE)

Fluid Inclusion Analysis Fluid Inclusion Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fluid Inclusion Analysis Details Activities (20) Areas (11) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Fluid composition at a point in time and space Thermal: The minimum temperature of fluid inclusion formation Cost Information Low-End Estimate (USD): 17.571,757 centUSD 0.0176 kUSD 1.757e-5 MUSD 1.757e-8 TUSD / sample Median Estimate (USD): 17.571,757 centUSD 0.0176 kUSD 1.757e-5 MUSD 1.757e-8 TUSD / sample High-End Estimate (USD): 26.782,678 centUSD

335

Trace Element Analysis | Open Energy Information  

Open Energy Info (EERE)

Trace Element Analysis Trace Element Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Trace Element Analysis Details Activities (8) Areas (8) Regions (4) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Reconstructing the fluid circulation of a hydrothermal system Thermal: Cost Information Low-End Estimate (USD): 15.001,500 centUSD 0.015 kUSD 1.5e-5 MUSD 1.5e-8 TUSD / element Median Estimate (USD): 18.001,800 centUSD 0.018 kUSD 1.8e-5 MUSD 1.8e-8 TUSD / element High-End Estimate (USD): 106.0010,600 centUSD 0.106 kUSD 1.06e-4 MUSD 1.06e-7 TUSD / element

336

Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)  

DOE Green Energy (OSTI)

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

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

2012-10-01T23:59:59.000Z

337

Production and analysis of a Southern Ocean state estimate  

E-Print Network (OSTI)

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

338

Error Estimation Using Wavelet Analysis for Data Assimilation: EEWADAi  

Science Conference Proceedings (OSTI)

A new method is presented for estimating numerical errors in simulations as a function of space and time. This knowledge of numerical errors can provide critical information for the effective assimilation of external data. The new method utilizes ...

Leland Jameson; Takuji Waseda

2000-09-01T23:59:59.000Z

339

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

340

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Data Analysis and Visualization Staff  

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

solar water-heating experience Primary research interests Macroeconomic energy-impact analysis Wind-power market modeling Transient power system modeling Building performance...

342

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

343

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

Open Energy Info (EERE)

Analysis Project (SCEPA) Sector: Energy Focus Area: Energy Efficiency, Industry Topics: Market analysis, Policiesdeployment programs Resource Type: Publications Website:...

344

NREL: Energy Analysis - Wind Technology Analysis  

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

Wind and Hydropower Technology Analysis Wind and Hydropower Technology Analysis Wind and hydropower analysis supports advanced technologies that convert more of the nation's wind into electricity. Grid Operational Impact Analysis The wind program will address the variable, normally uncontrollable nature of wind power plant output, and the additional needs that its operation imposes on the overall grid. At present, the generation and transmission operational impacts that occur due to wind variability are not well quantified. This research will include efforts to quantify and fairly allocate impacts in both an engineering and cost sense. Methods of analysis are at an early stage of development. Without realistic analysis and cost allocation, utilities tend to overestimate imposed operational costs,

345

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

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

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

346

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

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

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

347

NREL: Energy Analysis - Market Analysis Models and Tools  

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

Energy Analysis Search More Search Options Site Map Printable Version Market Analysis Models and Tools The following is a list of models and tools that are used for market...

348

NREL: Energy Analysis - Distributed Generation Energy Technology Capital  

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

Capital Costs Capital Costs Transparent Cost Database Button The following charts indicate recent capital cost estimates for distributed generation (DG) renewable energy technologies. The estimates are shown in dollars per installed kilowatt of generating capacity or thermal energy capacity for thermal technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific location will vary. The red horizontal lines represent the first standard deviation of the mean. The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) sponsored the distributed generation data used within these charts. If you are seeking utility-scale technology capital cost estimates, please visit the Transparent Cost Database website for NREL's information

349

NETL: Energy Analysis - About Us  

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

trends within the energy industry and in the U.S. and world economy that may impact energy price, availability, and security while influencing the choice of fuels and energy...

350

NREL: Energy Analysis - Owen Zinaman  

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

E-mail: owen.zinaman@nrel.gov Areas of expertise Nexus of natural gas and renewable energy State and federal energy efficiency, renewable energy, and climate change policy...

351

NREL: Energy Analysis - David Keyser  

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

and dynamic economic impact models Labor data estimation Econometric modeling and forecasting Regional economics Education and background training M.A. in economics, Colorado...

352

Analysis & Projections - U.S. Energy Information Administration (EIA) -  

Gasoline and Diesel Fuel Update (EIA)

Summary Table Summary Table Appendix B-Estimating Price Impacts of the BCES12 Small Retailer Exemption Appendix C-Map of NEMS Electricity Market Module Regions Appendix D-Request Letter and Bill Updates Scenario Case Data Reference case Clean energy standard Clean energy standard, constrained nuclear See interactive table viewer Analysis of the Clean Energy Standard Act of 2012 Release date: May 2, 2012 Background This report responds to a request from Senator Jeff Bingaman, Chairman of the Senate Committee on Energy and Natural Resources, for an analysis of the Clean Energy Standard (CES) Act of 2012. The request letter and the text of the proposed legislation are provided in Appendix D. The request

353

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

the demand for space conditioning. Thus far we havereduce energy use for space conditioning by about 30% - 40%of residential space conditioning energy performance

Authors, Various

2013-01-01T23:59:59.000Z

354

NREL: Energy Analysis - Victor Diakov  

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

Areas of expertise Geographic diversity of wind and solar power generation Wind and solar energy in the grid Energy and power systems, vehicular hydrogen...

355

NREL: Energy Analysis - Aaron Townsend  

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

and conventional energy technologies Electrical energy storage Primary research interests Electricity and natural gas market design and implementation Impact of market structure...

356

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

with Future Energy Projections R. Sextro and M. Messenger. .Impacts of Two Energy Projections J. Sathaye, H. Ruderman,gasoline consumption projection raises the possi- bility of

Authors, Various

2013-01-01T23:59:59.000Z

357

NREL: Energy Analysis - Jim Leyshon  

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

jim.leyshon@nrel.gov Areas of expertise Data visualization Green power markets Renewable energy financial opportunities Primary research interests State renewable energy policy...

358

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

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

Authors, Various

2013-01-01T23:59:59.000Z

359

ENERGY STAR Healthcare Energy Savings Financial Analysis Calculators |  

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

Healthcare Energy Savings Financial Analysis Healthcare Energy Savings Financial Analysis Calculators Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

360

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Ann Herlevich Brennan  

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

REEE market Communications strategy, technical writing, and outreach Techno-economic analysis of renewable energy technologies Experimental research on biofuels technologies...

362

Strategic Energy Analysis at NREL (Presentation)  

SciTech Connect

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

Arent, D. J.

2007-11-01T23:59:59.000Z

363

Energy Information Administration (EIA) - Analysis of Selected ...  

U.S. Energy Information Administration (EIA)

The Annual Energy Outlook 2002 ... analysis of alternative cases ... for cost-inefficient solutions or even temporary supply reductions as refiners ...

364

Economic and Environmental Analysis of Photovoltaic Energy ...  

E-Print Network (OSTI)

Mar 22, 2012 ... Economic and Environmental Analysis of Photovoltaic Energy ... However, their approach is based on a specific net tariff system that was used ...

365

Environment - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Search EIA.gov. A-Z Index; ... while more energy-efficient vehicles are continuing to enter the market. ... Terms used in this analysis:

366

NREL: Energy Analysis - News Archive 2012  

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

in the December News December Publications November 2012 Data Book Shows Renewable Energy on the Rise Tax Incentives Support Geothermal Market Build-Out NREL Analysis and...

367

NREL: Energy Analysis - Robert M. Margolis  

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

-economic-environmental modeling, including national and global-scale models Economic and market analysis of renewable energy technologies R&D planning and evaluation Long-term...

368

NREL: Energy Analysis - December 2012 Newsletter  

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

energy standard scenarios. Range of electricity generated from natural gas plants in the scenario analysis. ReEDS, developed by NREL with EERE support, is a capacity expansion...

369

NREL: Energy Analysis - January 2013 Newsletter  

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

Analysis from PV Installer Survey Results. Articles in North American Clean Energy, Solar Power World, and Environmental Protection discussed two recent DOE reports:...

370

Analysis of Federal incentives used to stimulate energy production  

DOE Green Energy (OSTI)

Federal incentives for the development of solar energy are examined. A Federal incentive is any action that can be taken by the government to expand residential and commercial use of solar energy. The development of solar energy policy could be enhanced by identification, quantification, and analysis of Federal incentives that have been used to simulate the development of other forms of energy. The text of this report identifies, quantifies, and analyzes such incentives and relates them to current thought about solar energy. Four viewpoints used in this discussion come from 4 types of analysis: economic, political, organizational, and legal. The next chapter identifies actions (primarily domestic) that the Federal government has taken concerning energy. This analysis uses the typology of actions described in the previous chapter to identify actions, and the four viewpoints described there to determine whether an action concerns energy. Once identified, the actions are described and then quantified by an estimate of the 1976 cost of accomplishing them. Then incentives, investments, liabilities, regulations, and other factors are analyzed in detail for nuclear energy, hydroelectric power, coal, petroleum, and natural gas. Incentives of all energy sources are then discussed with respect to solar energy policy. (MCW)

Not Available

1978-06-01T23:59:59.000Z

371

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

372

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

373

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

374

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

375

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 +

376

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

377

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

378

Analysis Activities at National Renewable Energy Laboratory  

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

Laboratory Laboratory DOE Hydrogen, Fuel Cells, and Infrastructure Technologies Program Systems Analysis Workshop July 28-29, 2004 Washington, D.C. Margaret K. Mann Hydrogen Analysis Task Leader Charter * NREL's mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals. * The NREL Hydrogen Analysis Group provides leadership in hydrogen production, delivery, transition, and market analysis, to increase the efficiency of hydrogen research and implementation. * The NREL Hydrogen Analysis Group has received the majority of its funding from the DOE Hydrogen Program (now HFCIT), with some funding coming from PBA and OFCVT

379

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

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

380

A fresh look at cost estimation, process models and risk analysis”, EDSER-1  

E-Print Network (OSTI)

Reliable cost estimation is indispensable for industrial software development. A detailed analysis shows why the existing cost models are unreliable. Cost estimation should integrate software process modelling and risk analysis. A novel approach based on probability theory is proposed. A probabilistic cost model could provide a solid basis for cost-benefit analyses. 1

Frank Padberg

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

E-Print Network (OSTI)

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

382

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network (OSTI)

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

Sathaye, Jayant

2011-01-01T23:59:59.000Z

383

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

U.S. Energy Information Administration (EIA)

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

384

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

U.S. Energy Information Administration (EIA)

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

385

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

U.S. Energy Information Administration (EIA)

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

386

Distributed Generation Renewable Energy Estimate of Costs and...  

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

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

387

NREL: Energy Analysis - Utility-Scale Energy Technology Capacity Factors  

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

Utility-Scale Energy Technology Capacity Factors Utility-Scale Energy Technology Capacity Factors This chart indicates the range of recent capacity factor estimates for utility-scale renewable energy technologies. The dots indicate the average, and the vertical lines represent the range: Average +1 standard deviation and average -1 standard deviation. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost (September 2013 Update) Operations & Maintenance (September 2013 Update) Utility-Scale Capacity Factors Useful Life Land Use by System Technology LCOE Calculator Capacity factor for energy technologies. For more information, please download supporting data for energy technology costs.

388

Analysis of annual energy savings due to radiant barriers  

Science Conference Proceedings (OSTI)

Radiant barriers are receiving increasing attention as an energy conservation measure for residential buildings, especially for warmer climates. They are being actively promoted for use in residential attics, sometimes with exaggerated claims about savings in utility bills that will results from their installation. In order to provide consumers with factual information that would assist them in deciding upon an investment in a radiant barrier, the Department of Energy, along with an industry advisory panel, has developed a Radiant Barrier Fact Sheet. A major part of this fact sheet is estimates of energy savings that might be expected from radiant barriers in various climates. This paper presents the details of the methodology underlying the energy savings estimates, and gives a summary of values listed in the Fact Sheet. The energy savings estimates were obtained from calculations using a detailed attic thermal model coupled with DOE-2.1C. A life cycle cost analysis was performed to estimate the present value savings on utility fuel costs. The results show that the fuel cost savings vary significantly with the level of conventional insulation already in the attic and from one climate to another.

Wilkes, K.E.

1990-01-01T23:59:59.000Z

389

NREL: Energy Analysis - Sarah (Busche) Booth  

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

Sarah Booth Sarah Booth Photo of Sarah (Busche) Booth Sarah (Busche) Booth is a member of the Market and Policy Impact Analysis Group in the Strategic Energy Analysis Center. Energy Analyst & India Analysis Project Lead On staff since June 2009 Phone number: 303-275-4383 E-mail: sarah.busche@nrel.gov Areas of expertise Domestic and international clean energy policy Municipal climate mitigation strategies Renewable energy and energy efficiency for islands Primary research interests Interaction between local and state clean energy policy Domestic and international local climate mitigation and strategic energy planning Renewable energy deployment in developing countries Education and background training Certificate in financial management, Cornell University, 2012 M.A. in international relations and environmental policy, Boston

390

EVALUATION AND CALIBRATION OF SOFTWARE-BASED ENERGY ESTIMATION  

E-Print Network (OSTI)

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

Braun, Torsten

391

Pumping System Measurements To Estimate Energy Savings: Why and How  

E-Print Network (OSTI)

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

Casada, D.

2007-01-01T23:59:59.000Z

392

DOE Hydrogen Analysis Repository: Analysis of Energy Infrastructures  

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

Analysis of Energy Infrastructures Analysis of Energy Infrastructures Project Summary Full Title: Analysis of Energy Infrastructures and Potential Impacts from an Emergent Hydrogen Fueling Infrastructure Project ID: 250 Principal Investigator: David Reichmuth Brief Description: Sandia National Laboratories is using a system dynamics approach to simulate the interaction of vehicle adoption and infrastructure for hydrogen, electricity, natural gas, and gasoline. Purpose It is envisioned that the transition to hydrogen vehicles will begin by taking advantage of the existing infrastructure for natural gas. This project will study the impact of hydrogen vehicles on demand for natural gas, electricity, and gasoline. The impact of existing energy infrastructures on hydrogen infrastructure growth will also be considered.

393

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

394

Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable  

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

Life Cycle Cost Analysis for Sustainable Buildings Life Cycle Cost Analysis for Sustainable Buildings To help facility managers make sound decisions, FEMP provides guidance and resources on applying life cycle cost analysis (LCCA) to evaluate the cost-effectiveness of energy and water efficiency investments. Federal Requirements Life cycle cost (LCC) rules are promulgated in 10 CFR 436 A, Life Cycle Cost Methodology and Procedures and conforms to requirements in the National Energy Conservation Policy Act and subsequent energy conservation legislation as well as Executive Order 13423. The LCC guidance and materials provided here assume discount rates and energy price projections (TXT 17 KB) determined annually by FEMP and the Energy Information Administration. Building Life Cycle Cost Software FEMP's Building Life Cycle Cost (BLCC) software can help you calculate life cycle costs, net savings, savings-to-investment ratio, internal rate of return, and payback period for Federal energy and water conservation projects funded by agencies or alternatively financed. BLCC also estimates emissions and emission reductions. An energy escalation rate calculator (EERC) computes an average escalation rate for energy savings performance contracts when payments are based on energy cost savings.

395

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

E-Print Network (OSTI)

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

Chang, Yu-Han

396

Developing an environment for embedded software energy estimation  

Science Conference Proceedings (OSTI)

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

S. Nikolaidis; A. Chatzigeorgiou; T. Laopoulos

2005-12-01T23:59:59.000Z

397

NREL: Energy Analysis - Biomass Technology Analysis  

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

Biomass Technology Analysis Biomass Technology Analysis Conducting full life-cycle assessments for biomass products, including electricity, biodiesel, and ethanol, is important for determining environmental benefits. NREL analysts use a life-cycle inventory modeling package and supporting databases to conduct life-cycle assessments. These tools can be applied on a global, regional, local, or project basis. Integrated system analyses, technoeconomic analyses, life-cycle assessments (LCAs), and other analysis tools are essential to our research and development efforts. They provide an understanding of the economic, technical, and even global impacts of renewable technologies. These analyses also provide direction, focus, and support to the development and commercialization of various biomass conversion technologies. The economic

398

Energy Analysis Department The Treatment of Renewable Energy  

E-Print Network (OSTI)

Energy Analysis Department The Treatment of Renewable Energy Certificates, Emissions Allowances, and Green Power Programs in State Renewables Portfolio Standards Edward A. Holt Ed Holt & Associates, Inc of renewable energy certificates (RECs) and attributes for RPS compliance 1. state RPS reliance on RECs

399

Analysis of Hawaii Biomass Energy Resources for Distributed Energy Applications  

E-Print Network (OSTI)

Analysis of Hawaii Biomass Energy Resources for Distributed Energy Applications Prepared for State) concentrations on a unit energy basis for sugar cane varieties and biomass samples of Tables Table 1-A. Analyses of biomass materials found in the State of Hawaii

400

Decision analysis for geothermal energy  

E-Print Network (OSTI)

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

Yost, Keith A

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

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

SciTech Connect

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

1982-01-01T23:59:59.000Z

402

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

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

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

403

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

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

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

404

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

Open Energy Info (EERE)

of innovation by forecasting technology evolution profiles based on patent analytics and analysis of R&D efforts around the major EGS (or analogous) cost components. - Explore...

405

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network (OSTI)

analysis include: 1. Natural gas storage tanks. 2. NaturalDelta There is one natural gas storage facility currentlyand at least one natural gas storage facility located along

Sathaye, Jayant

2011-01-01T23:59:59.000Z

406

NREL: Energy Analysis - News Archive 2007  

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

7 7 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Experts Discuss Carbon Policy Design and the Implications for EE and RE at NREL Energy Analysis Forum TAP Webcast: Sustainability Plan for L.A. School District Analysts Meet With Stakeholders NREL Energy Analysis Forum Focuses on Carbon Policy Design and the Implications for EE and RE Solar Advisor Model (SAM) Expanded Utility Green Pricing Programs Interaction of Renewable Energy Markets Supply and Demand Balance for Renewable Electricity Analysts Meet With Stakeholders Last Call for Renewable Energy Marketing Conference Registration Renewable Resource Data Center Analysts Meet With Stakeholders Analysis of the Solar America Initiative Distributed Generation Wind Opportunities

407

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

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

408

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

E-Print Network (OSTI)

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

Sun, Sean

409

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

E-Print Network (OSTI)

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

410

Analysis & Projections - U.S. Energy Information Administration (EIA) -  

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

Analysis & Projections Analysis & Projections Glossary › FAQS › Overview Projection Data Monthly Short-Term Forecasts to 2014 Annual Projections to 2040 International Projections Analysis & Projections Most Requested Annual Energy Outlook Related Congressional & Other Requests International Energy Outlook Related Presentations Short-Term Outlook Related Testimony All Reports Models & Documentation Full report Sales of Fossil Fuels Produced from Federal and Indian Lands, FY 2003 through FY 2011 Release date: March 14, 2012 Background This paper was prepared in response to recent requests that the U.S. Energy Information Administration (EIA) provide updated summary information regarding fossil fuel production on Federal and Indian lands1 in the United States. It provides EIA's current best estimates of fossil fuels sales from

411

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

E-Print Network (OSTI)

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

Rainer Beck; Marita Krause

2005-07-15T23:59:59.000Z

412

Compound and Elemental Analysis | Open Energy Information  

Open Energy Info (EERE)

Compound and Elemental Analysis Compound and Elemental Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Compound and Elemental Analysis Details Activities (104) Areas (69) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Lab Analysis Techniques Exploration Sub Group: Fluid Lab Analysis Parent Exploration Technique: Fluid Lab Analysis Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Results can aid in the determination of fluid source regions and circulation pathways. Thermal: Certain elements exhibit high spatial correlation with high-temperature geothermal systems. Cost Information Low-End Estimate (USD): 15.001,500 centUSD 0.015 kUSD 1.5e-5 MUSD 1.5e-8 TUSD / compound Median Estimate (USD): 30.003,000 centUSD

413

NREL: Energy Analysis: Life Cycle Assessment Harmonization  

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

Life Cycle Assessment Harmonization Life Cycle Assessment Harmonization Life cycle assessment (LCA) harmonization helps lenders, utility executives, and lawmakers get the best, most precise information on greenhouse gas emissions from various sources of energy. LCA has been used to estimate and compare GHG emissions from utility-scale power systems for three decades, often with considerable variability in results. Harmonization provides more exact estimates of greenhouse-gas emissions for renewable and conventional electricity generation technologies, clarifying inconsistent and conflicting estimates in the published literature and reducing uncertainty. Highlights of Recent Studies Chart that compares published and harmonized lifecycle greenhouse gas emissions. For help reading this chart, please contact the webmaster.

414

Estimates of Kinetic Energy Dissipation under Breaking Waves  

Science Conference Proceedings (OSTI)

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

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

1996-05-01T23:59:59.000Z

415

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

416

Energy Use Analysis for the Federal Energy Management Program  

E-Print Network (OSTI)

Recent congressional legislation allows federal agencies new authorities to contract for energy savings by sharing the acquired savings with an energy service company. As part of its charter to make the federal government more energy-efficient, the Federal Energy Management Program (FEMP) endeavors to improve the technical basis for such performance-based contracting. Specific tasks include the development of improved energy use baselining methods, refinement of a simplified energy analysis method and support to users, preparation of guidelines and procedures for energy savings initiatives, and publication of a manual to guide identification and analysis of energy conservation measures. This paper describes the current status and planned progress in each of these areas, and how these relate to several planned shared savings projects.

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

1988-01-01T23:59:59.000Z

417

Energy Analysis Program 1990 annual report  

SciTech Connect

The Energy Analysis Program has played an active role in the analysis and discussion of energy and environmental issues at several levels. (1) at the international level, with programs as developing scenarios for long-term energy demand in developing countries and organizing leading an analytic effort, Energy Efficiency, Developing Countries, and Eastern Europe,'' part of a major effort to increase support for energy efficiency programs worldwide; (2) at national level, the Program has been responsible for assessing energy forecasts and policies affecting energy use (e.g., appliance standards, National Energy Strategy scenarios); and (3) at the state and utility levels, the Program has been a leader in promoting integrated resource utility planning; the collaborative process has led to agreement on a new generation of utility demand-site programs in California, providing an opportunity to use knowledge and analytic techniques of the Program's researchers. We continue to place highest on analyzing energy efficiency, with particular attention given to energy use in buildings. The Program continues its active analysis of international energy issues in Asia (including China), the Soviet Union, South America, and Western Europe. Analyzing the costs and benefits of different levels of standards for residential appliances continues to be the largest single area of research within the Program. The group has developed and applied techniques for forecasting energy demand (or constructing scenarios) for the United States. We have built a new model of industrial energy demand, are in the process of making major changes in our tools for forecasting residential energy demand, have built an extensive and documented energy conservation supply curve of residential energy use, and are beginning an analysis of energy-demand forecasting for commercial buildings.

Not Available

1992-01-01T23:59:59.000Z

418

Energy Analysis Program 1990 annual report  

Science Conference Proceedings (OSTI)

The Energy Analysis Program has played an active role in the analysis and discussion of energy and environmental issues at several levels. (1) at the international level, with programs as developing scenarios for long-term energy demand in developing countries and organizing leading an analytic effort, ``Energy Efficiency, Developing Countries, and Eastern Europe,`` part of a major effort to increase support for energy efficiency programs worldwide; (2) at national level, the Program has been responsible for assessing energy forecasts and policies affecting energy use (e.g., appliance standards, National Energy Strategy scenarios); and (3) at the state and utility levels, the Program has been a leader in promoting integrated resource utility planning; the collaborative process has led to agreement on a new generation of utility demand-site programs in California, providing an opportunity to use knowledge and analytic techniques of the Program`s researchers. We continue to place highest on analyzing energy efficiency, with particular attention given to energy use in buildings. The Program continues its active analysis of international energy issues in Asia (including China), the Soviet Union, South America, and Western Europe. Analyzing the costs and benefits of different levels of standards for residential appliances continues to be the largest single area of research within the Program. The group has developed and applied techniques for forecasting energy demand (or constructing scenarios) for the United States. We have built a new model of industrial energy demand, are in the process of making major changes in our tools for forecasting residential energy demand, have built an extensive and documented energy conservation supply curve of residential energy use, and are beginning an analysis of energy-demand forecasting for commercial buildings.

Not Available

1992-01-01T23:59:59.000Z

419

Analysis of the energy impacts of the DOE Appropriate Energy Technology Small Grants Program: methods and results  

SciTech Connect

In 1977, Congress directed DOE to create an energy grants program with the object of funding individuals, small businesses, and nonprofit organizations to develop technologies that use renewable energy resources. The Small Grants Program was created and this report assesses the energy savings potential of the program. The first step in the analysis was to assess the energy-savings potential of 57 projects. Program energy savings were then estimated from project savings using statistical inference. Chapter 2 presents estimates of direct energy savings for the 57 projects and discusses direct energy savings. Chapter 3 discusses the methods and results of the economic analysis. Chapter 4 examines the indirect savings. Because of the large size of the sample, neither project descriptions nor specific details of each project analysis are included. Instead, two examples from the analysis are presented in Chapters 2, 3, and 4 to illustrate the methods. The results of the analysis and key project data are summarized. Chapter 5 presents estimates of program energy savings and the methods used to obtain them. The report concludes with a discussion of how improved project selection can increase program energy savings and present two approaches for conducting future energy-impact studies.

Lucarelli, B.; Kessel, J.; Kay, J.; Linse, J.; Tompson, S.; Homer, M.

1981-02-01T23:59:59.000Z

420

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

422

NREL State Clean Energy Policies Analysis Project (SCEPA) | Open Energy  

Open Energy Info (EERE)

NREL State Clean Energy Policies Analysis Project (SCEPA) NREL State Clean Energy Policies Analysis Project (SCEPA) (Redirected from State Clean Energy Policies Analysis Project (SCEPA)) Jump to: navigation, search Name NREL State Clean Energy Policies Analysis Project (SCEPA) Agency/Company /Organization NREL Website http://www.nrel.gov/applying_t References Clean Energy Policy Analysis[1] Tool Summary Name: Clean Energy Policy Analysis Project (SCEPA) Agency/Company /Organization: National Renewable Energy Laboratory Topics: Policies/deployment programs, Co-benefits assessment, - Energy Security, - Environmental and Biodiversity Website: www.nrel.gov/applying_technologies/state_local_activities/cepa.html Country: United States Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

423

NREL: Wind Research - Energy Analysis of Offshore Systems  

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

Energy Analysis of Offshore Systems Energy Analysis of Offshore Systems Chart of cost data for actual and projected offshore wind projects as reported by developers. Enlarge image NREL has a long history of successful research to understand and improve the cost of wind generation technology. As a research laboratory, NREL is a neutral, third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore wind. Market Analysis NREL's extensive research on installed and proposed projects in Europe, the United States, and other emerging offshore markets enables the compilation of a database of installed and proposed project costs. These are used to report on cost trends. Recent studies include: Analysis of capital cost trends for planned and installed offshore

424

NREL: Energy Analysis - Ted Quinby  

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

Areas of expertise Application development Geospatial analysis and modeling Database design Project management Primary research interests Applying innovative mapping and...

425

DOE Hydrogen Analysis Repository: Economic Analysis of Hydrogen Energy  

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

Economic Analysis of Hydrogen Energy Station Concepts Economic Analysis of Hydrogen Energy Station Concepts Project Summary Full Title: Economic Analysis of Hydrogen Energy Station Concepts: Are 'H2E-Stations' a Key Link to a Hydrogen Fuel Cell Vehicle Infrastructure? Project ID: 244 Principal Investigator: Timothy Lipman Brief Description: This project expands on a previously conducted, preliminary H2E-Station analysis in a number of important directions. Purpose This analysis, based on an integrated Excel/MATLAB/Simulink fuel cell system cost and performance model called CETEEM, includes the following: several energy station designs based on different sizes of fuel cell systems and hydrogen storage and delivery systems for service station and office building settings; characterization of a typical year of operation

426

Policy and Analysis Team | Department of Energy  

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

Policy and Analysis Team Policy and Analysis Team Policy and Analysis Team The mission of Policy and Analysis is to provide a consistent, objective, and credible analysis for the Office of Energy Efficiency and Renewable Energy's (EERE's) activities and an understanding of the effect of various policies on EERE's core mission. This includes guiding investment decisions through credible data and scenario analyses in order to maximize their effectiveness and return on investment for the taxpayer. To browse our collection of energy analysis publications and resources, visit our resource library here. Why it Matters We inform EERE's corporate decisions and program implementation through data-driven, portfolio-based analysis of technology and policy to help drive cost-effective decisions.

427

NREL: Energy Analysis - Energy Sciences Technology Analysis Models...  

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

of system flexibility. It can also evaluate the role of enabling technologies such as demand response and energy storage. It is an updated version of the PVFlex model described in...

428

NREL: Energy Analysis - Suzanne Tegen  

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

chain Fluent in German Primary research interests Economic and environmental impacts from energy production Wind power social acceptancepublic involvement Quantification of wind...

429

NREL: Energy Analysis - Ted James  

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

E-mail: ted.james@nrel.gov Areas of expertise Knowledge of clean energy policy and solar technologies Environmental and regulatory strategy International trade and...

430

NREL: Energy Analysis - Michael Mendelsohn  

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

Renewable energy financing Loan Guarantee program Treasury Grant program Utility-scale solar development Electric vehicle deployment and cost-effectiveness Primary research...

431

NREL: Energy Analysis - Easan Drury  

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

of the American Solar Energy Society Selected publications Drury, E.; Jenkin, T.; Jordan, D.; Margolis, R. (2013). Photovoltaic Investment Risk and Uncertainty for Residential...

432

NREL: Energy Analysis - William Wallace  

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

Selected publications Wallace, W.; Wang, Z. (2006). "Solar Energy in China: Development Trends for Solar Water Heaters and Photovoltaics in the Urban Environment," Bulletin of...

433

Bulk Energy Storage Impact and Value Analysis  

Science Conference Proceedings (OSTI)

This paper is intended for planners, R&D managers, and potential investors who manage or interpret results from value and impact analysis of energy storage. Due to performance improvements and cost reductions of battery technologies and the expectation that energy storage may help to manage potential operational challenges of incorporating variable, renewable energy resources, energy storage systems are under renewed investigation as a future electric system resource. Pumped hydro storage ...

2012-12-31T23:59:59.000Z

434

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

Science Conference Proceedings (OSTI)

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

R. J. Gurney; D. K. Hall

1983-01-01T23:59:59.000Z

435

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

Science Conference Proceedings (OSTI)

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

Y-C. Zhang; W. B. Rossow

1997-09-01T23:59:59.000Z

436

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

Open Energy Info (EERE)

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

437

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

SciTech Connect

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

Not Available

1980-08-13T23:59:59.000Z

438

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

Science Conference Proceedings (OSTI)

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

G. Le Besnerais; F. Champagnat

2006-10-01T23:59:59.000Z

439

NREL: Energy Analysis - News Archive 2004  

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

4 4 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Energy Analysis Forum Discusses State/Regional Electricity Markets Solar and Wind Energy Resource Assessment (SWERA) Model Online Green Power Marketing Conference Features New York Governor New Green Power Publications Available Online Forum to Examine State/Regional Electricity Markets HOMER® Adds Air Quality Analysis Capabilities NREL Sponsors Workshop on GIS/Regionalization for EERE December 2004 Energy Analysis Forum Discusses State/Regional Electricity Markets The National Renewable Energy Laboratory held its fourth Energy Analysis Forum on November 9-10, 2004, in Golden, Colorado. The two-day event, "Understanding State and Regional Electricity Markets: Analytic Issues for

440

NREL: Energy Analysis - Ocean Energy Results - Life Cycle Assessment  

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

Ocean Energy Results - Life Cycle Assessment Review Ocean Energy Results - Life Cycle Assessment Review For more information, visit: Special Report on Renewable Energy Sources and Climate Change Mitigation: Ocean Energy OpenEI: Data, Visualization, and Bibliographies Chart that shows life cycle greenhouse gas emissions for ocean power technologies. For help reading this chart, please contact the webmaster. Estimates of life cycle greenhouse gas emissions of wave and tidal range technologies. Credit: Lewis, A., S. Estefen, J. Huckerby, W. Musial, T. Pontes, J. Torres-Martinez, 2011: Ocean Energy. In IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation [O. Edenhofer, R. Pichs-Madruga, Y. Sokona, K. Seyboth, P. Matschoss, S. Kadner, T. Zwickel, P. Eickemeier, G. Hansen, S. Schlömer, C. von Stechow (eds)], Cambridge University Press. Figure 6.11 Enlarge image

Note: This page contains sample records for the topic "analysis energy estimates" 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

Comments on “Estimates of Kinetic Energy Dissipation under Breaking Waves”  

Science Conference Proceedings (OSTI)

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

Gerrit Burgers

1997-10-01T23:59:59.000Z

442

NREL: Energy Analysis - David J. Feldman  

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

J. Feldman J. Feldman Photo of David J. Feldman David J. Feldman is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Senior Financial Analyst On staff since 2010 Phone number: 202-488-2231 E-mail: david.feldman@nrel.gov Areas of expertise Renewable energy project finance Corporate finance Solar energy market analysis Primary research interests Economic and market analysis of renewable energy technologies Renewable energy policy Corporate finance in energy sector Education and background training M.B.A. from the Yale School of Management, New Haven, CT, 2006 B.A. from Amherst College, Amherst, MA, 2000 Prior work experience Assistant Director of Finance, Soltage, Jersey City, NJ (2007-2010) Associate, The Jordan Edmiston Group, New York, NY (2006)

443

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

E-Print Network (OSTI)

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

Laul, Parul

2010-01-01T23:59:59.000Z

444

NREL: Energy Analysis - Gail Mosey  

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

of sites for EERE use in remediation, monitoring and revitalization Environmental analysis Education and background training M.S. in economics, 1993, Colorado School of...

445

Isotopic Analysis | Open Energy Information  

Open Energy Info (EERE)

Structural: Hydrological: Source of fluids, circulation, andor mixing. Thermal: Heat source and general reservoir temperatures Dictionary.png Isotopic Analysis: Isotopes...

446

NREL: Energy Analysis - Keith Searight  

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

management and best practices Technical program management Geographic information systems Tech transfer from research to operations Primary research interests Geospatial analysis...

447

Southeast Regional Clean Energy Policy Analysis (Revised)  

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

Southeast Regional Clean Southeast Regional Clean Energy Policy Analysis Revised Joyce McLaren Technical Report NREL/TP-6A20-49192 Revised April 2011 ERRATA SHEET NREL REPORT/PROJECT NUMBER: TP-6A20-49192 TITLE: Southeast Regional Clean Energy Policy Analysis AUTHOR(S): Joyce McLaren ORIGINAL PUBLICATION DATE: January 2011 DATE OF CORRECTIONS (MM/YYYY): 04/2011 The following figures and tables were replaced: Page vii, Figure ES-2 Page ix, Table ES-1 Page 12, Table 1 Page 20, Figure 10 Page 51, Table 11 Page 52, Figure 18 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401

448

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

Science Conference Proceedings (OSTI)

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

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

2008-06-03T23:59:59.000Z

449

NREL: Energy Analysis - Energy Technology Cost and Performance Data for  

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

Bookmark and Share Bookmark and Share Energy Technology Cost and Performance Data for Distributed Generation Transparent Cost Database Button Recent cost estimates for distributed generation (DG) renewable energy technologies are available across capital costs, operations and maintenance (O&M) costs, and levelized cost of energy (LCOE). Use the tabs below to navigate the charts. The LCOE tab provides a simple calculator for both utility-scale and DG technologies that compares the combination of capital costs, O&M, performance, and fuel costs. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost (September 2013 Update)

450

NREL: Energy Analysis - Distributed Generation Energy Technology Operations  

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

Operations and Maintenance Costs Operations and Maintenance Costs Transparent Cost Database Button The following charts indicate recent operations and maintenance (O&M) cost estimates for distributed generation (DG) renewable energy technologies. The charts provide a compilation of available national-level cost data from a variety of sources. Costs in your specific location will vary. The red horizontal lines represent the first standard deviation of the mean. The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) sponsored the distributed generation data used within these charts. If you are seeking utility-scale technology operations and maintenance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation.

451

Cross-impacts analysis development and energy policy analysis applications  

Science Conference Proceedings (OSTI)

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

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

1986-12-01T23:59:59.000Z

452

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network (OSTI)

Table 1 presents the natural gas supply projections made byCanada TOTAL CEC2 natural gas supply projections IntrastateEnergy Commission, Natural Gas Supply and Demand for

Authors, Various

2013-01-01T23:59:59.000Z

453

NREL: Energy Analysis - Aron Dobos  

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

Calculator for the CEC 6 Parameter Photovoltaic Module Model." ASME Journal of Solar Energy Engineering, SOL-11-1205. http:dx.doi.org10.11151.4005759 Jorgenson, J.; Gilman,...

454

NREL: Energy Analysis - David Mulcahy  

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

B.S. in physics, University of North Carolina at Chapel Hill, NC, 2012 Certificate in energy and the environment, Duke University, Durham, NC, 2012 Prior work experience Solar...

455

NREL: Energy Analysis - Jenny Heeter  

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

44 pp.; NREL Report No. TP-6A20-49938. Bird, L.; Heeter, J.; Kreycik, C. (2011). "Solar Renewable Energy Certificate (SREC) Markets: Status and Trends." 58 pp.; NREL Report...

456

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

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

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

457

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

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

7891 7891 April 2010 Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative S. Busche and E. Doris National Renewable Energy Laboratory R. Braccio, D. Lippert, P. Finch, D. O'Toole, and J. Fetter Booz Allen Hamilton 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 Technical Report NREL/TP-7A2-47891 April 2010 Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy

458

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

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

891 891 April 2010 Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy Initiative S. Busche and E. Doris National Renewable Energy Laboratory R. Braccio, D. Lippert, P. Finch, D. O'Toole, and J. Fetter Booz Allen Hamilton 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 Technical Report NREL/TP-7A2-47891 April 2010 Clean Energy Policy Analysis: Impact Analysis of Potential Clean Energy Policy Options for the Hawaii Clean Energy

459

Commercial Energy and Cost Analysis Methodology | Building Energy Codes  

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

Development » Commercial Development » Commercial Site Map Printable Version Development Commercial Residential Adoption Compliance Regulations Resource Center Commercial Energy and Cost Analysis Methodology The U.S. Department of Energy (DOE) evaluates published model codes and standards to help states and local jurisdictions better understand the impacts of updating commercial building energy codes and standards. A methodology was used for evaluating the energy and economic performance of commercial energy codes and standards and proposed changes thereto. This method serves to ensure DOE proposals are both energy efficient and cost-effective. The DOE methodology contains two primary assessments: Energy savings Cost-effectiveness Energy and economic calculations are performed through a comparison of

460

NREL: Energy Analysis - Renewable Energy Certificate and Green Power  

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

Renewable Energy Certificate and Green Power Markets Renewable Energy Certificate and Green Power Markets NREL's market analysis group examines the implications of customer choice on the market demand for renewable energy as well as renewable energy certificate (REC) markets that have emerged for compliance with state renewable energy standards. They have tracked the status of voluntary markets for renewable energy and conducted analyses of regional REC market demand. Key Analyses for 2012 Cover of Market Brief: Status of the Voluntary Renewable Energy Certificate Market (2011 Data) report Status of Green Power Marketing SEAC analysts Jenny Heeter, Philip Armstrong, and Lori Bird published "Market Brief: Status of the Voluntary Renewable Energy Certificate Market (2011 Data)." This report documents the status and trends of U.S. 'compliance' markets

Note: This page contains sample records for the topic "analysis energy estimates" 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

NREL State Clean Energy Policies Analysis Project (SCEPA) | Open Energy  

Open Energy Info (EERE)

NREL State Clean Energy Policies Analysis Project (SCEPA) NREL State Clean Energy Policies Analysis Project (SCEPA) Jump to: navigation, search Name NREL State Clean Energy Policies Analysis Project (SCEPA) Agency/Company /Organization NREL Website http://www.nrel.gov/applying_t References Clean Energy Policy Analysis[1] Tool Summary Name: Clean Energy Policy Analysis Project (SCEPA) Agency/Company /Organization: National Renewable Energy Laboratory Topics: Policies/deployment programs, Co-benefits assessment, - Energy Security, - Environmental and Biodiversity Website: www.nrel.gov/applying_technologies/state_local_activities/cepa.html Country: United States Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

462

Applications of the Barnes Objective Analysis Scheme. Part II: Improving Derivative Estimates  

Science Conference Proceedings (OSTI)

Two recently published objective analysis schemes improve derivative estimates obtained from observed field variables. Achtemeier proposed a hybrid successive-correction scheme that uses a very low pass Gaussian weight function on the first pass ...

Stanley L. Barnes

1994-12-01T23:59:59.000Z

463

Toward an Objective Analysis of Rainfall Rate Combining Observations and Short-Term Forecast Model Estimates  

Science Conference Proceedings (OSTI)

This study explores the feasibility of performing an objective analysis of instantaneous rain rate combining satellite estimates (and eventually other types of observations) with those from a numerical prediction model using the method of ...

Louis Garand; Christopher Grassotti

1995-09-01T23:59:59.000Z

464

Analysis of future energy pathways for Vietnam .  

E-Print Network (OSTI)

??This research conducts an in-depth analysis of the long-term impacts of alternative energy options for Vietnam up to 2050, with a view to identify an… (more)

Do, Tien Minh

2050-01-01T23:59:59.000Z

465

Definition: Earth Tidal Analysis | Open Energy Information  

Open Energy Info (EERE)

Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View form View source History View...

466

NREL: Energy Analysis - Billy J. Roberts  

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

and Visualization Group in the Strategic Energy Analysis Center. Scientist III - GIS On staff since 2007 Phone number: 303-275-3824 E-mail: billy.roberts@nrel.gov Areas of...

467

Energy Infrastructure Modeling and Analysis (EIMA)  

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

The Energy Infrastructure Modeling and Analysis (EIMA) Division is focused on ensuring the reliability and resiliency of the U.S. electric grid through robust analytical, modeling, and assessment...

468

Geothermal Analysis | Open Energy Information  

Open Energy Info (EERE)

Analysis Analysis Jump to: navigation, search Geothermal ARRA Funded Projects for Geothermal Analysis Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":200,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026 further results","default":"","geoservice":"google","zoom":false,"width":"600px","height":"350px","centre":false,"layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","icon":"","visitedicon":"","forceshow":true,"showtitle":true,"hidenamespace":false,"template":false,"title":"","label":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"locations":[{"text":"

469

Energy analysis of geothermal-electric systems  

DOE Green Energy (OSTI)

Standard energy analysis was applied to 4 types of geothermal-electric technologies: liquid dominated, hot dry rock, geopressure, and vapor dominated. It was found that all are net energy producers. Expected uncertainties are not large enough to threaten this conclusion. Vapor dominated, the only technology in current commercial use to produce electricity in the US, has the highest energy ratio (13 +- 4). These results for energy ratio are equal to or less than some from other workers. In the case of liquid dominated, environmental control technology has a considerable energy requirement.

Herendeen, R.A.; Plant, R.

1979-12-01T23:59:59.000Z

470

New Hampshire - U.S. Energy Information Administration (EIA) - U.S ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors, ... Environment; Analysis; Energy Estimates (SEDS) ... Bureau of Ocean Energy Management

471

Market penetration analysis for direct heat geothermal energy applications  

SciTech Connect

This study is concerned with the estimation of the National geothermal market potential and penetration in direct heat applications for residences and certain industry segments. An important aspect of this study is that the analysis considers both known and anticipated goethermal resources. This allows for an estimation of the longer-range potential for geothermal applications. Thus the approach and results of this study provide new insights and valuable information not obtained from more limited, site-specific types of analyses. Estimates made in this study track geothermal market potential and projected penetration from the present to the year 2020. Private sector commercialization of geothermal energy over this period requires assistance in the identification of markets and market sizes, potential users, and appropriate technical applications.

Thomas, R.J.; Nelson, R.A.

1981-06-01T23:59:59.000Z

472

NREL: Energy Analysis - Dylan Hettinger  

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

since 2010 Phone number: 303-275-3750 E-mail: dylan.hettinger@nrel.gov Areas of expertise Information design Spatial analysis and cartography Prior work experience AMEC Earth &...

473

NREL: Energy Analysis - Andrew Martinez  

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

et. al., Thermodynamic analysis of interactions between Ni-based solid oxide fuel cell (SOFC) anodes and trace species in a survey of coal syngas, Journal of Power Sources...

474

NREL: Energy Analysis - Laura Vimmerstedt  

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

Distribution, Dispensing, and Use: Analysis of a Portion of the Biomass-to-Biofuels Supply Chain Using System Dynamics. PLoS One. Vol. 7(5), May 2012; 18 pp.; NREL Report No....

475

Energy analysis program. 1995 Annual report  

SciTech Connect

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

Levine, M.D.

1996-05-01T23:59:59.000Z

476

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

Science Conference Proceedings (OSTI)

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

Luigi Sorrentino; Renato Masiani; Stefano Benedetti

2008-01-01T23:59:59.000Z

477

Energy Engineering & Systems Analysis Success Stories  

E-Print Network (OSTI)

Energy Engineering & Systems Analysis Success Stories For further information, contact: Glenn vehicle information on performance, fuel economy, energy consumption and emissions output. The Challenge. Having the data available before design will accelerate the time to market as manufacturers will not have

Hudson, Randy

478

Analysis of seasonality in energy prices  

Science Conference Proceedings (OSTI)

The identification of normal seasonal trends in energy prices is of considerable importance to budget planners and households. The purpose of this paper is to examine several key energy price series for the existence of these seasonal patterns, and to determine whether these patterns have changed over time. The prices examined are motor gasoline, heating oil, retail residual fuel oil, and residential electricity. The principal users of this analysis are energy analysts and budget planners in private industry and government.

Not Available

1986-08-01T23:59:59.000Z

479

NREL: Energy Analysis - State and Local Policy Analysis  

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

State and Local Policy Analysis State and Local Policy Analysis NREL's state and local policy analysis team examines the effects of policy on renewable energy development and deployment on a state and local level. Clean Energy Policy Analyses Project One of NREL's key state and local policy initiatives is the Clean Energy Policy Analyses (CEPA) project. Through this project, NREL analysts seek to quantify the connection between state and local policies and clean energy market development and identify the impact of state policy on decision makers. Learn more about CEPA on the NREL State & Local Activities website. Key Analyses for 2012 Cover of the Including Alternative Resources in State Renewable Portfolio Standards: Current Design and Implementation Experience report State Renewable Portfolio Standards

480

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

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

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

Note: This page contains sample records for the topic "analysis energy estimates" 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

Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Bottom-Up Energy Analysis System (BUENAS) Jump to: navigation, search Tool Summary Name: BUENAS Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Baseline projection, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools Website: www.superefficient.org/Resource%20Library/BUENAS%20-%20Bottom-Up%20Ene References: BUENAS Homepage[1] BUENAS for SEAD[2] Logo: BUENAS BUENAS stands for "Bottom-Up Energy Analysis System". It is used to project

482

Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal  

Open Energy Info (EERE)

Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal Systems Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Estimation and Analysis of Life Cycle Costs of Baseline Enhanced Geothermal Systems Project Type / Topic 1 Recovery Act: Enhanced Geothermal Systems Component Research and Development/Analysis Project Type / Topic 2 Geothermal Analysis Project Description In pursuit of the goal of reducing EGS costs, this project will facilitate the following: - A clear understanding of the current cost structure - Its dependence on markets - The benefits of innovation - The impact of synergistic process configurations, and - Widespread dissemination of the findings for use by the geothermal community

483

South Africa - Analysis - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. ... U.S. Energy Information Administration. World Coal ...

484

Environment - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

485

Geothermal Impact Analysis Geothermal Project | Open Energy Informatio...  

Open Energy Info (EERE)

Buildings Clean Energy Economy Coordinated Low Emissions Assistance Network Geothermal Incentives and Policies International Clean Energy Analysis Low Emission Development...

486

Electricity - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. ... Country energy information, detailed and overviews. Highlights

487

Analysis & Projections - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

488

Singapore - Analysis - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

489

Petroleum & Other Liquids - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

490

Analysis & Projections - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

491

Environment - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

492

Electricity - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

493

Turkey - Analysis - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

494

Natural Gas - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

495

Coal - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

496

Analysis & Projections - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

497

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

Science Conference Proceedings (OSTI)

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

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

1994-09-01T23:59:59.000Z

498

NREL: Energy Analysis - Useful Life  

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

Useful Life Useful Life Transparent Cost Database Button The table below gives ranges on useful life of several technologies estimated by interviewing NREL experts who have been working with the technologies and also by performing a literature search. Limited information on actual lifetime studies was found. The bulk of the literature referenced included an assumed useful life for a given technology. These numbers are useful since they provide conventional thinking of experts in each field; it is important to understand that they do not include lifetime statistical data of actual projects. Use the tabs below to navigate the charts. The LCOE tab provides a simple calculator for both utility-scale and DG technologies that compares the combination of capital costs, O&M, performance, and fuel costs.

499

NREL: Energy Analysis - News Archive  

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

2 2 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Industrial Materials Report Examines Forest-Products Industry Power Technologies Energy Data Book Benefits of Regional Transmission Organizations (RTOs) Outlined Report Examines Green Power Marketing Worldwide October 2002 Industrial Materials Report Examines Forest-Products Industry A case study performed by RAND and the National Renewable Energy Laboratory (NREL) is aimed at solving materials problems encountered by the forest-products industry. This government-industry research and development (R&D) is described in the report "Industrial Materials for the Future R&D Strategies: A Case Study of Boiler Materials for the Pulp and Paper Industry" (PDF 1.5 MB). The principal problem addressed by the R&D was the

500

Analysis of Energy-Efficiency Opportunities for the Cement Industry...  

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

Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China Title Analysis of Energy-Efficiency Opportunities for the Cement Industry in...