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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 of Proposed  

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

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

2

State Energy Production Estimates  

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

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

3

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

Science Journals Connector (OSTI)

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

Jianzhou Wang; Shanshan Qin; Shiqiang Jin; Jie Wu

2015-01-01T23:59:59.000Z

4

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

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

Anderlini, Lucio

2015-01-01T23:59:59.000Z

5

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

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

LuÂ?trek, Mitja

6

Estimating Renewable Energy Costs  

Broader source: Energy.gov [DOE]

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

7

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

Science Journals Connector (OSTI)

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

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

2007-01-01T23:59:59.000Z

8

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

E-Print Network [OSTI]

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

Chiao, Raymond Y

2012-01-01T23:59:59.000Z

9

Cost Estimating, Analysis, and Standardization  

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

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

1984-11-02T23:59:59.000Z

10

Estimating Renewable Energy Costs | Department of Energy  

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

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

11

Energy Analysis | Department of Energy  

Energy Savers [EERE]

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

12

NREL: Energy Analysis - Market Analysis  

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

13

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

14

Building Energy Software Tools Directory: Energy Estimation Software with  

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

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

15

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

16

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

17

Energy Market Analysis | Department of Energy  

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

Energy Market Analysis Energy Market Analysis Energy Market Analysis synthesizes all analysis efforts in the analysis spectrum. Scenario analyses, in the context of market...

18

Energy Analysis  

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

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

19

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

20

NREL: Energy Analysis: Geospatial Analysis  

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

Enlarge image Highlights of Recent Studies U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis This study summarizes the achievable energy generation, or technical...

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

NREL: Energy Analysis - Sustainability Analysis  

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

22

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

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

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

23

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

24

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

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

25

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

26

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

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

27

Improved diagnostic model for estimating wind energy  

SciTech Connect (OSTI)

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

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

1983-03-01T23:59:59.000Z

28

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

Energy Savers [EERE]

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

29

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

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

30

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

31

Energy Analysis by Sector | Department of Energy  

Office of Environmental Management (EM)

Energy Analysis by Sector Energy Analysis by Sector Manufacturers often rely on energy-intensive technologies and processes. AMO conducts a range of analyses to explore energy use...

32

Estimating pool energy requirements with a thermometer  

SciTech Connect (OSTI)

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

Not Available

1980-04-01T23:59:59.000Z

33

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

E-Print Network [OSTI]

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

Mohanram, Kartik

34

Reservation Price Estimation by Adaptive Conjoint Analysis  

E-Print Network [OSTI]

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

Schmidt-Thieme, Lars

35

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

36

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

37

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

38

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

39

NREL: Energy Analysis - Staff  

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

40

Estimated United States Transportation Energy Use 2005  

SciTech Connect (OSTI)

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

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

2011-11-09T23:59:59.000Z

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

Background estimation using a robust Bayesian analysis  

Science Journals Connector (OSTI)

A novel method for the estimation of the background in a powder diffraction pattern has been developed using a robust Bayesian analysis. The underlying probability theory is discussed in terms of going beyond the Gaussian approximation normally associated with counting statistics and least-squares analysis, and various examples are presented that illustrate the general applicability of the approach.

David, W.I.F.

2001-05-22T23:59:59.000Z

42

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

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

43

Wind energy analysis system .  

E-Print Network [OSTI]

??One of the most important steps to be taken before a site is to be selected for the extraction of wind energy is the analysis… (more)

Koegelenberg, Johan

2014-01-01T23:59:59.000Z

44

NREL: Energy Analysis - About the Strategic Energy Analysis Center  

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

Energy Analysis Printable Version About the Strategic Energy Analysis Center (SEAC) Examples of NREL Analysis Impacts Resource Assessment Electric Sector Integration Jobs and...

45

Energy Analysis Publications  

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

46

Energy Sector Market Analysis  

SciTech Connect (OSTI)

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

47

NREL: Energy Analysis - News  

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

48

NREL: Energy Analysis - Michael Woodhouse  

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

49

NREL: Energy Analysis - Janine Freeman  

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

50

Development of the Potential Energy Savings Estimation (PESE) Toolkit  

E-Print Network [OSTI]

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

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

51

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.

52

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

E-Print Network [OSTI]

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

Baica, Malvina

53

NREL: Energy Analysis - Scott Jenne  

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

Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Geothermal Energy Analyst On staff since 2011 Phone number: 303-384-7248 E-mail:...

54

NREL: Energy Analysis - Jenny Heeter  

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

Policy analysis Utility regulation and analysis Primary research interests Voluntary green power market Renewable energy certificate markets and pricing Solar renewable energy...

55

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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

56

Estimating the Potential Impact of Renewable Energy on the Caribbean  

E-Print Network [OSTI]

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

Kammen, Daniel M.

57

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

E-Print Network [OSTI]

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

Taylor, Margaret

2014-01-01T23:59:59.000Z

58

Towards Human Energy Expenditure Estimation Using Smart Phone Inertial Sensors  

E-Print Network [OSTI]

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

LuÂ?trek, Mitja

59

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

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

60

Energy Analysis Publications  

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

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 - Wesley Cole  

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

and integration Design and analysis of sustainable energy systems Impacts of the natural gas supply chain on renewable energy technologies Education and background training Ph.D....

62

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.

63

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Journals Connector (OSTI)

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

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

2005-10-01T23:59:59.000Z

64

NREL: Energy Analysis - Parthiv Kurup  

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

Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. CSP Cost Analyst and Engineer On staff since January 5, 2015 Phone number: 303-275-4013...

65

NREL: Energy Analysis - Aaron Levine  

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

Levine Photo of Aaron Levine Aaron Levine is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Legal and Regulatory...

66

Program Impact Analysis | Building Energy Codes Program  

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

67

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

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

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NREL: Jobs and Economic Competitiveness - Clean Energy Innovation Analysis  

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

69

NREL: Energy Analysis - Kelly Eurek  

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

Kelly Eurek Photo of Kelly Eurek Kelly Eurek is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Energy Analyst On staff since August...

70

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.

71

Numerical Wave Modeling and Wave Energy Estimation  

Science Journals Connector (OSTI)

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

G. Galanis; G. Zodiatis; D. Hayes…

2013-01-01T23:59:59.000Z

72

NREL: Energy Analysis Home Page  

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

73

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

74

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

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

75

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

E-Print Network [OSTI]

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

Peinke, Joachim

76

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

77

Methodology for estimating biomass energy potential and its application to Colombia  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

78

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.

79

Estimating climatological variability of solar energy production  

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

80

Energy Analysis and Environmental Impacts  

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

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

NREL: Energy Analysis - Levelized Cost of Energy Calculator  

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

82

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.

83

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

84

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

85

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

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

86

Variance estimation for radiation analysis and multi-sensor fusion.  

SciTech Connect (OSTI)

Variance estimates that are used in the analysis of radiation measurements must represent all of the measurement and computational uncertainties in order to obtain accurate parameter and uncertainty estimates. This report describes an approach for estimating components of the variance associated with both statistical and computational uncertainties. A multi-sensor fusion method is presented that renders parameter estimates for one-dimensional source models based on input from different types of sensors. Data obtained with multiple types of sensors improve the accuracy of the parameter estimates, and inconsistencies in measurements are also reflected in the uncertainties for the estimated parameter. Specific analysis examples are presented that incorporate a single gross neutron measurement with gamma-ray spectra that contain thousands of channels. The parameter estimation approach is tolerant of computational errors associated with detector response functions and source model approximations.

Mitchell, Dean James

2010-09-01T23:59:59.000Z

87

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

88

NREL: Energy Analysis: Analysis of Project Finance  

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

89

Payback Analysis of Energy Proposals  

E-Print Network [OSTI]

that the energy inflation rate often exceeds the inflation rate of the general economy, this paper develops a technique for including these parameters into payback analysis of energy investments. Included in the development of this method are examples of its...

Blevins, L. D.; Estes, C. B.

1980-01-01T23:59:59.000Z

90

EnergyPlus Run Time Analysis  

E-Print Network [OSTI]

Tree Lawrence Berkeley National Laboratory  Page 37  California EnergyEnergy Commission EnergyPlus Run Time Analysis Plant Supply Calling Tree (Energy Commission EnergyPlus Run Time Analysis Appendix A – EnergyPlus Call Tree

Hong, Tianzhen

2009-01-01T23:59:59.000Z

91

Energy analysis program. 1994 annual report  

SciTech Connect (OSTI)

This report provides an energy analysis overview. The following topics are described: building energy analysis; urban and energy environmental issues; appliance energy efficiency standards; utility planning and policy; energy efficiency, economics, and policy issues; and international energy and environmental issues.

Levine, M.D.

1995-04-01T23:59:59.000Z

92

NREL: Energy Analysis - Publications  

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

Phase 2: Preprint (2012) Publications that Estimate EERE Technology Impacts, Including Costs, Co-benefits, Value Assessing the Drivers of Regional Trends in Solar Photovoltaic...

93

Uncertainty estimation improves energy measurement and verification procedures  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

94

Uncertainty Estimation Improves Energy Measurement and Verification Procedures  

SciTech Connect (OSTI)

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

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

2014-05-14T23:59:59.000Z

95

NREL: Energy Analysis - Jennie Jorgenson  

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

and dispatch modeling Integrating concentrating solar power, energy storage, and demand response into power grid models Quantitativestatistical analysis and modeling Primary...

96

NREL: Energy Analysis - Jim Leyshon  

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

Jim Leyshon is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Web ContentDesign On staff since 1995 Phone number: 303-384-7317...

97

NREL: Energy Analysis - Dylan Hettinger  

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

of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. GIS Programmer Analyst On staff since 2010 Phone number: 303-275-3750 E-mail:...

98

NREL: Energy Analysis - Nick Grue  

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

Analysis and Visualization Group in the Strategic Energy Analysis Center. Scientist II - GIS On staff since June 2014 Phone number: 303-384-7278 E-mail: nick.grue@nrel.gov Areas of...

99

NREL: Energy Analysis - Jenny Melius  

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

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

100

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

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

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

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

Estimating the rebound effect in US manufacturing energy consumption  

Science Journals Connector (OSTI)

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

Jan Bentzen

2004-01-01T23:59:59.000Z

102

NREL: Energy Analysis - Related Links  

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

103

Econometric Estimation of the Aggregate Impacts of Energy Efficiency  

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

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

104

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

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

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

105

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.

106

NREL: Energy Analysis - News Archive 2005  

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

107

NREL: Energy Analysis - Financial Policy Analysis  

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

108

Estimate Greenhouse Gas Emissions by Building Type | Department of Energy  

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

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

109

NREL: Energy Analysis - Jaquelin Cochran  

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

110

NREL: Energy Analysis - Solar Technology Analysis  

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

111

GCEP Energy Assessment Analysis  

E-Print Network [OSTI]

The solar energy flux reaching the Earth’s surface represents a few thousand times the current use of primary energy by humans. The potential of this resource is enormous and makes solar energy a crucial component of a renewable energy portfolio aimed at reducing the global emissions of greenhouse gasses into the atmosphere. Nevertheless, the current use of this energy resource represents less than 1 % of the total electricity production from renewable sources. Even though the deployment of photovoltaic systems has been increasing steadily for the last 20 years, solar technologies still suffer from some drawbacks that make them poorly competitive on an energy market dominated by fossil fuels: high capital cost, modest conversion efficiency, and intermittency. From a scientific and technical viewpoint, the development of new technologies with higher conversion efficiencies and low production costs is a key requirement for enabling the deployment of solar energy at a large scale. This report summarizes the state of the research in some mature and emerging solar technologies with high potential for largescale energy production, and identifies fundamental research topics that are crucial for

unknown authors

112

NREL: Energy Analysis - Kermit Witherbee  

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

113

NREL: Energy Analysis - Jordan Macknick  

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

114

Building Energy Monitoring and Analysis  

SciTech Connect (OSTI)

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

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

2013-06-01T23:59:59.000Z

115

NREL: Energy Analysis - Venkat Kirshnan  

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

Available online 8 January 2015 T. Das, V. Krishnan, Y. Gu, and J. McCalley, Compressed Air Energy Storage: State Space Modeling and Performance Analysis, Proceedings of the 2011...

116

NREL: Energy Analysis - Michael Gleason  

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

and Visualization Group in the Strategic Energy Analysis Center. Scientist III - GIS On staff since April 2014 Phone number: 303-275-4109 E-mail: Michael.Gleason@nrel.gov...

117

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

118

Strategic Energy Analysis (Fact Sheet)  

SciTech Connect (OSTI)

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

Not Available

2014-02-01T23:59:59.000Z

119

NREL: Energy Analysis: Resource Assessment  

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

120

NREL Job Task Analysis: Energy Auditor | Department of Energy  

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

Energy Auditor NREL Job Task Analysis: Energy Auditor A summary of job task analyses for the position of energy auditor when evaluating a residence before and during weatherization...

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

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

Energy Savers [EERE]

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

122

NANA Strategic Energy Plan & Energy Options Analysis  

SciTech Connect (OSTI)

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

123

NREL: Energy Analysis - Sadie Cox  

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

124

NREL: Energy Analysis - Thomas Jenkin  

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

125

NREL: Energy Analysis - Anelia Milbrandt  

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

126

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

127

NETL: Energy Analysis - Instructions  

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

128

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

129

Energy Policy & Technology Analysis | Global and Regional Solutions  

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

130

Home Energy Score: Analysis & Improvements to Date  

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

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.

131

Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models  

E-Print Network [OSTI]

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

Liberzon, Daniel

132

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

E-Print Network [OSTI]

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

133

Unbiased Estimate of Dark Energy Density from Type Ia Supernova Data  

Science Journals Connector (OSTI)

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

Yun Wang; Geoffrey Lovelace

2001-01-01T23:59:59.000Z

134

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

SciTech Connect (OSTI)

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

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

2004-11-09T23:59:59.000Z

135

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

SciTech Connect (OSTI)

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

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

2003-03-03T23:59:59.000Z

136

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

SciTech Connect (OSTI)

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

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

2004-03-09T23:59:59.000Z

137

Observability and Estimation Uncertainty Analysis for PMU Placement Alternatives  

E-Print Network [OSTI]

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

Bishop, Gary

138

NREL: Energy Analysis - John Lewis  

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

139

NREL: Energy Analysis - Garvin Heath  

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

140

Estimating nonlinear QCD effects in ultrahigh energy neutrino events at IceCube  

Science Journals Connector (OSTI)

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

V.?P. Gonçalves and D.?R. Gratieri

2014-09-11T23:59:59.000Z

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 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

142

NREL: Energy Analysis - Trieu Mai  

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

143

Estimated United States Residential Energy Use in 2005  

SciTech Connect (OSTI)

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

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

2011-12-12T23:59:59.000Z

144

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

SciTech Connect (OSTI)

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

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

2012-10-01T23:59:59.000Z

145

Alternative energy estimation from the shower lateral distribution function  

E-Print Network [OSTI]

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

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

2005-09-16T23:59:59.000Z

146

Thermodynamic Analysis for Energy Conservation  

E-Print Network [OSTI]

THERMODYNAMIC ANALYSIS FOR ENERGY CONSERVATION William F. Kenney Exxon Chemical Company Florham Park, New Jersey , ,,~ This paper describes a methodology for per forming a thermodynamic analysis of a process, and it demonstrates how... fired. In a cracking furnace it can reduce lost work in combustion and in the convec tion section at the cost of more surface area in the convection section, reduced steam make, and slightly higher radiative temperature differences. Preheating air...

Kenney, W. F.

1981-01-01T23:59:59.000Z

147

Energy analysis of manufacturing process of a motorcycle  

Science Journals Connector (OSTI)

Energy analysis of a production unit helps to quantify the energy consumed at different stages, thus providing estimates of energy and material wastage, if any. From the general principles of energy analysis involving mass conversion efficiencies and the energy inputs at various stages of the production process of a motorcycle producing industry, namely Honda Motorcycle and Scooter India Pvt. Limited (HMSI), a methodology has been evolved to conduct a detailed energy analysis leading to the energy content (primary energy consumption per unit weight of the product) of the motorcycle. To facilitate the energy analysis, the whole production process has been divided into three main sub-processes, namely, frame production, engine production, and the assembly and inspection stages. Confining to the energy and material input within the premises of the industry, the energy content of the vehicle has been found to be 12.24 MJ/kg of vehicle weight. Out of the three stages, the frame manufacturing stage is found to be most energy intensive. Within frame manufacturing, the paint shop itself accounted for 87% of energy consumption. The results of this analysis, besides their use for identification of energy intensive areas, can also be used for conducting life cycle analysis.

Archak Patnayak; Narendra Kumar Bansal; Jyotirmay Mathur

2004-01-01T23:59:59.000Z

148

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

Broader source: Energy.gov [DOE]

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

149

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

150

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.

151

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

SciTech Connect (OSTI)

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

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

1997-03-01T23:59:59.000Z

152

Energy Engineering and Systems Analysis  

E-Print Network [OSTI]

Energy Engineering and Systems Analysis What is Defense in Depth? Defense in Depth material under the extreme conditions inside the reactor core. The secondary barrier is the reactor vessel to ensure reliability. Nevertheless, in the event of a component failure, Defense in Depth requires

Kemner, Ken

153

NREL: Energy Analysis - Nate Blair  

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

154

NREL: Energy Analysis - Katherine Young  

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

155

Efficient Simulation, Accurate Sensitivity Analysis and Reliable Parameter Estimation for Delay Differential  

E-Print Network [OSTI]

Efficient Simulation, Accurate Sensitivity Analysis and Reliable Parameter Estimation for Delay 2009 by Hossein ZivariPiran #12;Abstract Efficient Simulation, Accurate Sensitivity Analysis for approximating the solution, performing a sensitivity analysis and estimating unknown parameters. In this thesis

Toronto, University of

156

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

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

157

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

SciTech Connect (OSTI)

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

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

2012-06-10T23:59:59.000Z

158

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

159

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

Science Journals Connector (OSTI)

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

Sancho Salcedo-Sanz…

2014-01-01T23:59:59.000Z

160

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

SciTech Connect (OSTI)

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

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

1995-01-01T23:59:59.000Z

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

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

162

Prairie View A&M University Whole Campus Energy Analysis  

E-Print Network [OSTI]

-campus energy consumption at the Prairie View A&M Campus where whole-campus indices were developed that normalize for weather, conditioned area, and campus enrollment. The resultant indices were then used to estimate whole-campus energy savings resulting from.... This analysis develops indices that are normalized for weather, conditioned area, and campus enrollment. The resultant indices are then used to estimate energy savings from a guaranteed-savings contract at the Prairie View A&M Campus. j The next section...

Haberl, J. S.; Claridge, D. E.; Turner, W. D.

1991-01-01T23:59:59.000Z

163

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

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

164

Energy Engineering and Systems Analysis - Home  

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

165

NREL: Energy Analysis - Andrew Weekley  

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

166

NREL: Energy Analysis - Chad Augustine  

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

167

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,

168

Play Fairway Analysis | Department of Energy  

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

Play Fairway Analysis Play Fairway Analysis Geothermal energy today has expanded its horizons beyond traditional, surface-identified hydrothermal resources to include blind...

169

NREL: Energy Analysis - Melissa Hudman  

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

170

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

171

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

172

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

SciTech Connect (OSTI)

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

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

1989-01-01T23:59:59.000Z

173

NREL: Energy Analysis - Daniel Steinberg  

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

Sensing Primary research interests Interrelationship between energy efficiency, demand response, and renewable energy Environmental and energy market impacts of energy and...

174

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network [OSTI]

Local Population of Geothermal Energy Development in theof indigenous renewable and geothermal energy re- sources inocean thermal energy gradients, and geothermal energy. Some

Authors, Various

2013-01-01T23:59:59.000Z

175

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

E-Print Network [OSTI]

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

Hua, Yingbo

176

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,

177

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

178

Wave Energy Resource Analysis for Use in Wave Energy Conversion  

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

179

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

180

Office of Energy Policy and Systems Analysis | Department of Energy  

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

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

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

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

SciTech Connect (OSTI)

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

Diehl, R.; Powers, J.

1987-05-01T23:59:59.000Z

182

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

183

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network [OSTI]

Local Population of Geothermal Energy Development in theof coal, nuclear and geothermal energy sources. Overall, thewith new or expanded geothermal energy development. Fig. 1.

Authors, Various

2013-01-01T23:59:59.000Z

184

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

185

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

186

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

Science Journals Connector (OSTI)

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

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

2004-01-01T23:59:59.000Z

187

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect (OSTI)

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

188

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

E-Print Network [OSTI]

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

Sun, Jian

189

NREL: Energy Analysis - Transportation Energy Futures Project  

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

Pathways: An Examination of Timing and Investment Constraints Non-Light-Duty Vehicles Potential for Energy Efficiency Improvement Beyond the Light-Duty Sector Fuels Alternative...

190

Energy Use Analysis for the Federal Energy Management Program  

E-Print Network [OSTI]

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...

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

1988-01-01T23:59:59.000Z

191

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

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

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

192

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

193

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

194

Transportation Analysis | Clean Energy | ORNL  

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

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

195

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

196

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

E-Print Network [OSTI]

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

Gummadi, Ramakrishna

197

Energy Planning for Progressive Estimation in Multihop Sensor Networks  

E-Print Network [OSTI]

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

Huang, Yi; Hua, Yingbo

2009-01-01T23:59:59.000Z

198

State Energy Profiles and Estimates (SEDS) Report Archives  

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

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

199

NREL: Energy Analysis - Philipp Beiter  

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

Regulatory policy Data analysis and statistical modeling Primary research interests Electricity markets Utility business models for distributed generation Regulatory analysis...

200

NREL: Energy Analysis - Distributed Generation Energy Technology Capital  

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

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

NREL: Energy Analysis - Geothermal Technology Analysis  

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

testing (working to enhance conversion of geothermal energy into heat and electricity) led by NREL; drilling technologies research (for both hardware and diagnostic tools) led by...

202

ENERGY STAR Healthcare Energy Savings Financial Analysis Calculators |  

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

203

NREL: Energy Analysis - Vehicles and Fuels Research Analysis  

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

exhaust emissions, and more. Transportation Data and Statistics Tools Alternative Fuels Data Center EERE Energy Analysis Publications Fuel Economy Guide Future U.S. Highway...

204

Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications  

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

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

205

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network [OSTI]

of the history of oil and gas reserve estimation was alsogas as well as other competitive substitutes from inhospitable domestic reserves.

Authors, Various

2013-01-01T23:59:59.000Z

206

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

207

Proceedings of the 2008 International Conference on Electrical Machines Paper ID 1436 Comparative Analysis of Estimation Techniques  

E-Print Network [OSTI]

is a prevailing design of electric drive for EVs. Drives Efficiency is crucial to saving energy and offering moreProceedings of the 2008 International Conference on Electrical Machines Paper ID 1436 Comparative Analysis of Estimation Techniques of SFOC Induction Motor for Electric Vehicles A. Haddoun1,2 , M

Paris-Sud XI, Université de

208

NREL: Energy Analysis - Wind Technology Analysis  

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

209

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

Open Energy Info (EERE)

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

210

Issues in International Energy Consumption Analysis: Electricity...  

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

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

211

Hydrogen for Energy Storage Analysis Overview (Presentation)  

SciTech Connect (OSTI)

Overview of hydrogen for energy storage analysis presented at the National Hydrogen Association Conference & Expo, May 3-6, 2010, Long Beach, CA.

Steward, D. M.; Ramsden, T.; Harrison, K.

2010-06-01T23:59:59.000Z

212

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

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

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

213

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

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

Hong, Tianzhen

2014-01-01T23:59:59.000Z

214

NREL: Energy Analysis - Ella Zhou  

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

expertise Power system modeling Integrating water and cooling system, energy storage, and demand response into grid simulation and optimization models International energy policy...

215

Analysis Activities at National Renewable Energy Laboratory  

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

216

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

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

217

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network [OSTI]

Geothermal Energy Development in California Imperial Valley.counties. Geothermal development in both the Imperial Valley

Authors, Various

2013-01-01T23:59:59.000Z

218

Energy, Environmental & Economic Systems Analysis  

E-Print Network [OSTI]

Market Simulations Opportunity Decision and Information Sciences Division Center for Energy of the Energy and Power Evaluation Program (ENPEP) to develop long- term energy market projections and to assess energy across all consuming sectors. The ENPEP-BALANCE market simulation approach is based on the concept

219

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

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

220

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

Broader source: Energy.gov [DOE]

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

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

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

Broader source: Energy.gov [DOE]

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

222

On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks  

E-Print Network [OSTI]

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

Huang, Yi; Hua, Yingbo

2011-01-01T23:59:59.000Z

223

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

Broader source: Energy.gov [DOE]

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

224

A tool to estimate materials and manufacturing energy for a product  

E-Print Network [OSTI]

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

Duque Ciceri, Natalia

225

Analysis Methodologies | Department of Energy  

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

to provide a sound understanding of hydrogen and fuel cell systems and developing markets, as follows: Resource Analysis Technological Feasibility and Cost Analysis...

226

NREL: Energy Analysis - Stuart Cohen  

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

of expertise Electricity system analysis Optimization and data analysis in GAMS and MATLAB Carbon capture and sequestration Primary research interests Multi-scale electricity...

227

Program Analysis | Department of Energy  

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

Program Analysis Program Analysis 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Vehicle Technologies Plenary...

228

Parameter estimation for energy balance models with memory  

Science Journals Connector (OSTI)

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

2014-01-01T23:59:59.000Z

229

The Estimation of the Marine Main Diesel Engine Energy Balance  

Science Journals Connector (OSTI)

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

Z. Matuszak; G. Nicewicz

2014-01-01T23:59:59.000Z

230

NREL: Energy Analysis - Sarah (Busche) Booth  

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

231

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

232

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Office of Environmental Management (EM)

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

233

Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable  

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

234

Eigen-Inference for Energy Estimation of Multiple Sources  

E-Print Network [OSTI]

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

235

DOE Hydrogen Analysis Repository: Analysis of Energy Infrastructures  

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

236

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

237

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

238

NREL: Energy Analysis - News Archive 2007  

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

239

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

240

NREL: Energy Analysis - Biomass Technology Analysis  

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

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

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

Science Journals Connector (OSTI)

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

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

2005-09-01T23:59:59.000Z

242

NREL: Energy Analysis - Paul Schwabe  

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

forecasting Energy efficiency and conservation, including electric and natural gas rate decoupling Primary research interests Market penetration and financial incentives...

243

ENERGY ANALYSIS PROGRAM FY-1979.  

E-Print Network [OSTI]

problems of implemenation for larger scale technologies such as wind energy conversion, biomass conversion, photovoltaics and solar

Authors, Various

2013-01-01T23:59:59.000Z

244

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

245

Model for Analysis of Energy Demand (MAED-2) | Open Energy Information  

Open Energy Info (EERE)

Analysis of Energy Demand (MAED-2) AgencyCompany Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways...

246

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

E-Print Network [OSTI]

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

Klymak, Jody M.

247

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

E-Print Network [OSTI]

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

Kurapov, Alexander

248

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

E-Print Network [OSTI]

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

Florida, University of

249

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":""}]}

250

NREL: Energy Analysis: Life Cycle Assessment Harmonization  

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

251

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

252

NREL: Wind Research - Energy Analysis of Offshore Systems  

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

253

Annual Energy Consumption Analysis Report for Richland Middle School  

SciTech Connect (OSTI)

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

Liu, Bing

2003-12-18T23:59:59.000Z

254

Policy and Analysis Team | Department of Energy  

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

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.

255

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

256

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

257

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

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

Sathaye, Jayant

2011-01-01T23:59:59.000Z

258

NREL: Energy Analysis - Donna Heimiller  

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

analysis Data visualization Primary research interests Renewable resource development opportunities and issues, within a spatial context (multiple technologies)...

259

DOE Hydrogen Analysis Repository: Economic Analysis of Hydrogen Energy  

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

260

NREL: Energy Analysis - News Archive 2004  

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

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 - Ocean Energy Results - Life Cycle Assessment  

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

262

NREL: Energy Analysis - Clayton Barrows  

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

E-mail: clayton.barrows@nrel.gov Areas of expertise Power system modeling Primary research interests Power and energy systems Complex system optimization Network science...

263

NREL: Energy Analysis - Laura Vimmerstedt  

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

technologies and systems Impact of policies and environmental issues on renewable energy markets Education and background training M.S. in environmental studies, 1993, University...

264

NREL: Energy Analysis - David Palchak  

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

Demand-side management optimization with Matlab Primary research interests Demand response and renewable energy deployment modeling (PLEXOS) Education and background...

265

NREL: Energy Analysis - Karlynn Cory  

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

Electric utility decision-making and modeling of clean energy Utility distributed solar business models Policy and market innovations to support RE project finance...

266

NREL: Energy Analysis - Catherine Burke  

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

Girl Friday Primary research interests Renewable fuels and vehicles Residential energy efficiency Prior work experience Global Strike Command, Barksdale AFB, Bossier City,...

267

Systems Analysis | Department of Energy  

Office of Environmental Management (EM)

a National Geothermal Data System (NGDS) for widespread public use to reduce the risk of geothermal energy development. More information about NGDS is available in our NGDS Fact...

268

ENERGY UTILIZATION ANALYSIS OF BUILDINGS  

E-Print Network [OSTI]

Solar Energy, Cairo, Egypt, June 16 - 22, 1978 RECEIVED LBL7826 LAWRENCE BEPXVlfV LABORATORY JUN 141978 LIBRARY AND DOCUMENTS SECTION TWO-WEEK LOAN

Lokmanhekim, M.

2011-01-01T23:59:59.000Z

269

NREL: Energy Analysis - David J. Feldman  

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

270

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

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

271

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

272

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

273

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

274

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

275

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 +

276

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

277

Energy Analysis and Public Policy  

Science Journals Connector (OSTI)

...kinetic energy of the wind or tides (in the case...within the ecosystem or wind flow through it were...more concentrated than wind energy (12). Since...years. Steam-driven turbines Resource flow Dry steam...what depth onshore and offshore will oil and natural...

Martha W. Gilliland

1975-09-26T23:59:59.000Z

278

NREL: Energy Analysis - David Mooney  

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

cost analysis of concentrating solar power system configurations and integration into the electricity grid Primary research interests Renewable and efficiency systems integration,...

279

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

SciTech Connect (OSTI)

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

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

1989-01-01T23:59:59.000Z

280

NREL: Energy Analysis - Energy Technology Cost and Performance Data for  

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

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

NREL: Energy Analysis - Distributed Generation Energy Technology Operations  

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

282

Renewable energy in Argentina: Energy policy analysis and perspectives  

Science Journals Connector (OSTI)

This paper presents a brief analysis of the key points for the development of renewable energy. The aim was try to respond about two important questions: Can deployment of renewable energy put downward pressure on Argentinean supply system? If so, How could it be done? We found that majority of countries with high contribution of renewable energy in their supply have promoted them through energy policies. Nonetheless, Argentina has recently started to develop new promoting legislation, and the results have not been good enough. We conclude that, in order to get better results, the Government should increase and improve policies related to renewable energy.

C. Guzowski; M. Recalde

2008-01-01T23:59:59.000Z

283

Southeast Regional Clean Energy Policy Analysis (Revised)  

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

284

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":""}]}

285

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

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

286

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

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

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

287

ESTIMATION OF THE MEAN ENERGY OF MUONS IN MULTILAYER DETECTORS  

E-Print Network [OSTI]

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

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

1995-05-30T23:59:59.000Z

288

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

E-Print Network [OSTI]

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

Y. Aharonov; S. Massar; S. Popescu

2001-09-30T23:59:59.000Z

289

Commercial Energy and Cost Analysis Methodology | Building Energy Codes  

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

290

NREL: Energy Analysis - Renewable Energy Certificate and Green Power  

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

291

Arc Energy Estimations: Applications in Lightning-Induced Concrete Spall  

SciTech Connect (OSTI)

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

Tully, L K; Ong, M M

2008-06-03T23:59:59.000Z

292

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

E-Print Network [OSTI]

. INTRODUCTION Most energy reduction opportunities in industrial facilities are identified after observation and analysis of the facility. However, much can be done before a site visit to identify possible energy-reduction and Fuel Cell Technologies Conference, Livonia, MI, Oct 11-13, 2004. 1 #12;For example, the anomaly

Kissock, Kelly

293

NISTIR 6045 Method for Estimating the Energy Efficiency Ratio of  

E-Print Network [OSTI]

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

Oak Ridge National Laboratory

294

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

295

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

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

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

296

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

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

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

297

Analysis Tools | Department of Energy  

Office of Environmental Management (EM)

and drive action in the market. The Problem A lot of data. More buildings are creating energy data now than ever before, due to advances in technology, markets, and policies....

298

NREL: Energy Analysis - Ethan Warner  

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

G.; O'Donoughue, P. (2010). "Harmonization of Energy Generation Life Cycle Assessments (LCA): FY2010 LCA Milestone Report, November 2010." 17 pp.; NREL Report No. MP-6A20- 47492....

299

Seismic Fragility Analysis and Loss Estimation for Concrete Structures  

E-Print Network [OSTI]

The main objective of this study is to develop a methodology to assess seismic vulnerability of concrete structures and to estimate direct losses related to structural damage due to future seismic events. This dissertation contains several...

Bai, Jong Wha

2012-02-14T23:59:59.000Z

300

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

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

Hawaii Clean Energy Initiative Scenario Analysis  

Office of Energy Efficiency and Renewable Energy (EERE)

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

302

NREL: Energy Analysis - Billy J. Roberts  

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

303

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":"

304

Geothermal Energy Development in the Eastern United States, Sensitivity analysis-cost of geothermal energy  

SciTech Connect (OSTI)

The Geothermal Resources Interactive Temporal Simulation (GRITS) model is a computer code designed to estimate the costs of geothermal energy systems. The interactive program allows the user to vary resource, demand, and financial parameters to observe their effects on delivered costs of direct-use geothermal energy. Due to the large number and interdependent nature of the variables that influence these costs, the variables can be handled practically only through computer modeling. This report documents a sensitivity analysis of the cost of direct-use geothermal energy where each major element is varied to measure the responsiveness of cost to changes in that element. It is hoped that this analysis will assist those persons interested in geothermal energy to understand the most significant cost element as well as those individuals interested in using the GRITS program in the future.

Kane, S.M.; Kroll, P.; Nilo, B.

1982-12-01T23:59:59.000Z

305

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

E-Print Network [OSTI]

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

Fasullo, John

306

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

E-Print Network [OSTI]

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

Kurapov, Alexander

307

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

E-Print Network [OSTI]

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

308

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

309

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

E-Print Network [OSTI]

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

Rossi, Sabina

310

Market penetration analysis for direct heat geothermal energy applications  

SciTech Connect (OSTI)

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

311

NREL: Energy Analysis - Alberta Carpenter  

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

Issue 6, p. 965-977. Carpenter, A. (2009). Sustainable Management of Industrial Capital: LCA and Spatial Analysis in Decision Making For Beneficial Use of Industrial By-Products....

312

Risk Analysis | Department of Energy  

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

activities. A safety plan, which is composed of a failure mode and effects analysis (FMEA), a risk mitigation plan, and a communication plan, is used as a criterion for the...

313

NREL: Energy Analysis - Ran Fu  

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

303-384-7522 E-mail: ran.fu@nrel.gov Areas of expertise Manufacturing economics and technology strategic roadmap Techno-economic analysis for supporting R&D decision making...

314

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

315

Free energy differences : Representations, estimators, and sampling strategies   

E-Print Network [OSTI]

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

Acharya, Arjun R

316

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

Science Journals Connector (OSTI)

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

1910-00-90T23:59:59.000Z

317

How to Estimate Energy Lost to Gravitational Waves (revised)  

E-Print Network [OSTI]

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

Adam D. Helfer

1993-07-19T23:59:59.000Z

318

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

319

Analysis of the Relationship between Reaction Energies of Electrophili...  

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

Reaction Energies of Electrophilic SWNT Additionsand Sidewall Curvature: Chiral Nanotubes. Analysis of the Relationship between Reaction Energies of Electrophilic SWNT...

320

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

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

Energy Use Loss and Opportunities Analysis: U.S. Manufacturing & Mining Energy Use Loss and Opportunities Analysis: U.S. Manufacturing & Mining energyuselossopportunitiesanalys...

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

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

Science Journals Connector (OSTI)

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

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

322

NREL: Energy Analysis - State and Local Policy Analysis  

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

323

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

SciTech Connect (OSTI)

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

Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

2014-06-12T23:59:59.000Z

324

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

E-Print Network [OSTI]

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

Feeny, Brian

325

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

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

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

Laura Riihimaki; Krista Gaustad; Sally McFarlane

326

Energy Analysis and Public Policy  

Science Journals Connector (OSTI)

...losses for the dry steam system was 14.2 percent, and for the wet steam system was 10 percent...policy analysis tools. Section 5 of the...geothermal power system for 30 years. All...Transport of materials Steam transport (24...

Martha W. Gilliland

1975-09-26T23:59:59.000Z

327

NREL: Energy Analysis - Useful Life  

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

328

A Meta-Analysis of Energy Savings from Lighting Controls in Commercial  

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

A Meta-Analysis of Energy Savings from Lighting Controls in Commercial A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings Title A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings Publication Type Report Year of Publication 2011 Authors Williams, Alison A., Barbara A. Atkinson, Karina Garbesi, Francis M. Rubinstein, and Erik Page Series Title LBNL-5095E Pagination 25 Date Published September Keywords controls, daylighting, occupancy sensors, tuning Abstract Researchers have been quantifying energy savings from lighting controls in commercial buildings for more than 30 years. This study provides a meta-analysis of estimates of energy savings identified in the literature-240 savings estimates from 88 papers and case studies, categorized into daylighting strategies, occupancy strategies, personal tuning, and institutional tuning. Beginning with an overall average of savings estimates by control strategy, this paper adds successive analytical filters to identify potential biases introduced to the estimates by different analytical approaches. Based on the meta-analysis, the best estimates of average energy savings potential are 24% for occupancy, 28% for daylighting, 31% for personal tuning, 36% for institutional tuning, and 38% for multiple approaches. The results suggest that simulations significantly overestimate (by at least 10%) the average savings obtainable from daylighting in actual buildings.

329

NREL: Energy Analysis - News Archive  

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

330

NREL: Energy Analysis - Alan C. Goodrich  

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

Alan C. Goodrich Alan C. Goodrich Photo of Alan C. Goodrich Alan C. Goodrich is a member of the Technology Systems and Sustainability Analysis Group in the Strategic Energy Analysis Center. Senior Analyst (Solar Manufacturing Costs) On staff since July 2009 Phone number: 303-384-4347 E-mail: alan.goodrich@nrel.gov Areas of expertise Materials and manufacturing technology commercialization strategies Manufacturing economics and technology strategy Techno economic analysis in support of R&D portfolio management Market analysis and forecasting Primary research interests Distributed solar energy technologies Low cost manufacturing strategies Commercialization and business development strategies Renewable energy manufacturing costs: solar PV, wind, and battery components U.S. manufacturing competitiveness

331

Automatic weight estimation of individual pigs using image analysis  

Science Journals Connector (OSTI)

Health is a key element in pig welfare and steady weight gain is considered an indicator of good health and productivity. However, many diseases such as diarrhoea cause a substantial reduction in food intake and weight gain in pigs. Therefore, continuous ... Keywords: Automated image processing, Ellipse fitting, Pig weight estimation, Top-view body area, Transfer function modelling

Mohammadamin Kashiha, Claudia Bahr, Sanne Ott, Christel P. H. Moons, Theo A. Niewold, Frank O. Ödberg, Daniel Berckmans

2014-09-01T23:59:59.000Z

332

Analysis of power estimation techniques in CDMA systems  

E-Print Network [OSTI]

) is the estimator of i-th user's j-t. h paralneter Zl, (j). Figures 1I ? 14 show the performance of the three t, echniques for SNR=--10, 0, 10 anrl 20dB with different number of users. For I, he EM algorithm, thc initial values are zeros and the number...

Pei, Ying

1999-01-01T23:59:59.000Z

333

An analysis of radar estimated precipitation to rain gauge measurements  

E-Print Network [OSTI]

the surface. These levels included 1.0 1.5@ 2.0 @ 2.5 km, and 3.0 km. Radar precipitation estimates were calculated at each 1.4 2 level using Z = 30ORand Z = 25OR" . The precipitation amounts, as measured by both the gauges and the radar,were used...

Gleason, Byron Edward

1997-01-01T23:59:59.000Z

334

NREL: Energy Analysis - News Archive 2008  

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

8 8 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 December 2008 TAP Web Seminar: Green Building Principles SEPA Seminar: Using the SAM Model Solar PV Supply Curves Economic Development from Wind Energy Analysts Meet With Stakeholders November 2008 Renewable Energy Development and the Role of Policy Growth in Green Power Analysts Meet With Stakeholders October 2008 TAP Web Seminar: Energy Efficiency in Data Centers Solar Advisor Model Hydrogen Infrastructure Analysis Resources for States Analysts Meet With Stakeholders September 2008 Analytic Framework for Evaluation of State Energy Efficiency and Renewable Energy Policies with Reference to Stakeholder Drivers State Clean Energy Practices: Renewable Portfolio Standards State Clean Energy Practices: Renewable Fuel Standards

335

NREL: Energy Analysis - Life Cycle Assessments of Energy Technologies  

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

Life Cycle Assessments of Energy Technologies Life Cycle Assessments of Energy Technologies Learn about how NREL research analysts are evaluating various LCA studies in the Life Cycle Analysis Harmonization Project. NREL is a leader in the field of life cycle assessment (LCA) of energy technologies, both renewable and conventional. Life cycle assessment is a standardized technique that tracks all material, energy, and pollutant flows of a system-from raw material extraction, manufacturing, transport, and construction to operation and end-of-life disposal. Life cycle assessment can help determine environmental burdens from "cradle to grave" and facilitate comparisons of energy technologies. Life cycle assessments provide a well-established and comprehensive framework to compare renewable energy technologies with fossil-based and

336

MULTICOMPONENT SUBSPACE CHIRP PARAMETER ESTIMATION USING DISCRETE FRACTIONAL FOURIER ANALYSIS  

E-Print Network [OSTI]

of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration Daniel Jackson Peacock and Balasubramaniam Santhanam Department of E.C.E. University of New Mexico under contract DE-AC04-94AL85000. This work was supported by the US Department of Energy (award no. DE

Santhanam, Balu

337

NREL: Energy Analysis - News Archive 2006  

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

6 6 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 NREL Publishes Green Power Reports PV Value Clearinghouse Provides Distributed Power Analyses Online Analysts Meet with Stakeholders Energy Sector Market Analysis Lessons Learned from the Photovoltaic Manufacturing Technology/PV Manufacturing R&D and Thin-Film PV Partnership Projects Nontechnical Barriers to Solar Energy Use: Review of Recent Literature Analysts Meet with Stakeholders New Power Technologies Energy Data Book Available Online NREL Seeks Participants for RE Potential Initiative Eleventh National Renewable Energy Marketing Conference Analysts Meet with Stakeholders NREL Sponsors HOMER® Webcast Analysts Meet with Stakeholders Incorporating Wind Generation in Cap and Trade Programs

338

Built Environment Energy Analysis Tool Overview (Presentation)  

SciTech Connect (OSTI)

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

Porter, C.

2013-04-01T23:59:59.000Z

339

OCEAN THERMAL ENERGY CONVERSION (OTEC) PROGRAMMATIC ENVIRONMENTAL ANALYSIS  

E-Print Network [OSTI]

of ocean thermal energy conversion technology. U.S. DOE.ocean thermal energy conversion. A preliminary engineeringCompany. Ocean thermal energy conversion mission analysis

Sands, M. D.

2011-01-01T23:59:59.000Z

340

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

SciTech Connect (OSTI)

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

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

2012-12-20T23:59:59.000Z

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: Transmission Infrastructure  

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

Transmission Infrastructure Transmission Infrastructure Grid expansion and planning to allow large scale deployment of renewable generation Large scale deployment of renewable electricity generation will require additional transmission to connect renewable resources, which are wide-spread across the US, but regionally-constrained, to load centers. Long-term transmission planning, based on potential future growth in electric loads and generation resource expansion options, is critical to maintaining the necessary flexibility required for a reliable and robust transmission system. NREL's analyses support transmission infrastructure planning and expansion to enable large-scale deployment of renewable energy in the future. NREL's transmission infrastructure expansion and planning analyses show

342

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

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

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

343

Analysis of Environmental Impacts | Department of Energy  

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

Analysis of Environmental Impacts Analysis of Environmental Impacts Analysis of Environmental Impacts Selected documents on the Analysis of Environmental Impacts under NEPA. October 3, 1984 Policy and Procedures for the Review of Federal Actions Impacting the Environment This manual establishes policies and procedures for carrying out the Environmental Protection Agency's responsibilities to review and comment on Federal actions affecting the quality of the environment. January 5, 1981 Implementation of Executive Order 12114 Environmental Effects Abroad of Major Federal Actions: Final Guideline The Department of Energy hereby adopts final Departmental guidelines implementing Executive Order 12114-Environmental Effecrs Abroad of Major Federal Actions, whic was issued on January 4, 1979. November 17, 1980

344

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts The International Energy Outlook is prepared by the Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting. Specific questions about the report should be referred to Linda E. Doman (202/586-1041) or the following analysts: World Energy and Economic Outlook Linda Doman (linda.doman@eia.doe.gov, 202-586-1041) Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202-586-1294) Energy Consumption by End-Use Sector Residential Energy Use John Cymbalsky (john.cymbalsky@eia.doe.gov, 202-586-4815) Commercial Energy Use Erin Boedecker (erin.boedecker@eia.doe.gov, 202-586-4791)

345

Category:EERE Analysis Tools | Open Energy Information  

Open Energy Info (EERE)

EERE Analysis Tools EERE Analysis Tools Jump to: navigation, search The U.S. Department of Energy funds energy analysis activities and produces analysis resources. On this website, energy analysts and policymakers can access energy analysis products related to renewable energy and energy efficiency, including published analyses, energy data and maps, and analysis tools such as models, software, and calculators. While the website provides links to select and important energy analysis products, it is not a comprehensive source of such products. Energy analysis affords an understanding of issues and opportunities that effective energy program management requires. http://www1.eere.energy.gov/analysis/index.html Pages in category "EERE Analysis Tools" The following 43 pages are in this category, out of 43 total.

346

Hydrogen Systems Analysis | Department of Energy  

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

Clean Coal » Coal to Liquids » Hydrogen Clean Coal » Coal to Liquids » Hydrogen Systems Analysis Hydrogen Systems Analysis Energy analyses provide valuable information, input, and guidance into the decision-making process on important issues such as national energy security and environmental policies, research and development programs and plans, technology options, and potential technical, economic, market, and social barriers to technology deployment. The Hydrogen and Clean Coal Fuels Program, working with the NETL Office of Systems, Analyses, and Planning, supports systems, techno-economic, and benefits analysis activities to provide guidance and input for its research and development program portfolio, assess the progress made by Program-funded research, and measure the energy security, economic and

347

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

E-Print Network [OSTI]

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

Martin, Ralph R.

348

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

E-Print Network [OSTI]

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

Halgamuge, Malka N.

349

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

E-Print Network [OSTI]

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

Gonzalez Jimenez, Raul 1988-

2012-11-30T23:59:59.000Z

350

Definition: Stoneley Analysis | Open Energy Information  

Open Energy Info (EERE)

Stoneley Analysis Stoneley Analysis Jump to: navigation, search 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 of fractures and permeability of the formation. Stoneley waves are a major source of noise in vertical seismic profiles.[1] View on Wikipedia Wikipedia Definition A Stoneley wave is a high-amplitude surface wave (or interface wave) that typically propagates along a solid-solid interface. When found at a liquid-solid interface, this wave is referred to as a Scholte wave. The

351

NREL: Energy Analysis - Thomas R. Schneider  

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

Thomas R. Schneider Thomas R. Schneider Photo of Thomas R. Schneider Thomas R. Schneider is a member of the Washington D.C. Office in the Strategic Energy Analysis Center. Principal Analyst - Strategic Energy Analysis On staff since March 2009 Phone number: 202-488-2206 E-mail: thomas.schneider@nrel.gov Areas of expertise Distributed generation and storage Advanced power generation and transmission technologies Technology assessment Strategic and scenario planning R&D policy and management Primary research interests Variable renewable resources and the grid Role of electrification in society Energy efficiency and demand response Energy storage Education and background training Ph.D. in physics, University of Pennsylvania B.S., Stevens Institute of Technology (High Honors) Prior work experience

352

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

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

353

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

E-Print Network [OSTI]

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

Winter, S.; Tuluca, A.

1984-01-01T23:59:59.000Z

354

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

E-Print Network [OSTI]

Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries estimation Li-ion battery Robustness analysis a b s t r a c t Battery State of Charge (SOC) estimation. This paper analyzes the robustness of SOC estimation algorithms for two types of Li-ion batteries under

Peng, Huei

355

Industrial Geospatial Analysis Tool for Energy Evaluation  

E-Print Network [OSTI]

Industrial Geospatial Analysis Tool for Energy Evaluation- IGATE-E Nasr Alkadi, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Michael Starke, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Ookie Ma, Scientist, US Department... of Energy, Washington, DC Sachin Nimbalkar, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Daryl Cox, Researcher, Oak Ridge National Laboratory, Oak Ridge, TN Kevin Dowling, Student Researcher, University of Tennessee, Knoxville, TN Brendon...

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

2013-01-01T23:59:59.000Z

356

Community Economic Analysis Guide | Open Energy Information  

Open Energy Info (EERE)

Community Economic Analysis Guide Community Economic Analysis Guide Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Community Economic Analysis How-to manual Agency/Company /Organization: R. Hustedde, R. Shaffer, G. Pulver Phase: Create a Vision, Determine Baseline User Interface: Website Website: www.epa.gov/greenkit/pdfs/howto.pdf 100 page manual on how to analyze a community's economy. Useful for those not interested in building a detailed model. Retrieved from "http://en.openei.org/w/index.php?title=Community_Economic_Analysis_Guide&oldid=332592" Categories: Tools Community Energy Tools What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services OpenEI partners with a broad range of international organizations to grow

357

Line Extension Analysis | Open Energy Information  

Open Energy Info (EERE)

Line Extension Analysis Line Extension Analysis Jump to: navigation, search When a prospective electric customer requests service for a home or facility that is not currently serviced by the electric grid, the customer usually must pay a distance-based fee for the cost of extending power lines to the home or facility. In many cases, it is cheaper to use an on-site renewable energy system to meet a prospective customerÂ’s electricity needs. Certain states require utilities to provide information regarding renewable energy options when prospective customers request a line extension. [1] Line Extension Analysis Incentives CSV (rows 1 - 12) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Authorization of Line Extension (Nebraska) Line Extension Analysis Nebraska Agricultural

358

Visual comparison of software cost estimation models by regression error characteristic analysis  

Science Journals Connector (OSTI)

The well-balanced management of a software project is a critical task accomplished at the early stages of the development process. Due to this requirement, a wide variety of prediction methods has been introduced in order to identify the best strategy ... Keywords: Estimation by analogy, Regression analysis, Regression error characteristic curves, Software cost estimation

Nikolaos Mittas; Lefteris Angelis

2010-04-01T23:59:59.000Z

359

Field Validation of the Clean Power Estimator's Obstruction Analysis Algorithm Richard Perez  

E-Print Network [OSTI]

for obstruction analysis #12;the solar collector location (e.g., on an inaccessible, not- yet-built roof). Once produced by the Solar PathfinderTM (SPF). Results indicate that the Estimator provides acceptable estimates tables for two configurations: horizontal and south-facing at 30o-tilt. These tables are used to generate

Perez, Richard R.

360

Estimate of fine sediment deposit dynamics on a gravel bar using photography analysis  

E-Print Network [OSTI]

Estimate of fine sediment deposit dynamics on a gravel bar using photography analysis B. CAMENEN1 , M. JODEAU2 , and M. JABALLAH3 Abstract Three different methods to analyse fine sediment deposits the ground. These methods were used to estimate the surface of fine sediment deposits before and after

Paris-Sud XI, Université de

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

Radiation Dose Estimation from the Analysis of Radionuclides in Marine Fish of the Bay of Bengal  

Science Journals Connector (OSTI)

...Radiation Protection Dosimetry Article Radiation Dose Estimation from the Analysis of Radionuclides in Marine Fish of the Bay of Bengal S. Ghose M.N. Alam M.N...respectively. The annual effective doses due to ingestion of radionuclides......

S. Ghose; M.N. Alam; M.N. Islam

2000-02-01T23:59:59.000Z

362

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

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

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

363

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

Gasoline and Diesel Fuel Update (EIA)

Most Requested Most Requested Change category... Most Requested Consumption Environment Imports & Exports Industry Characteristics Prices Production Projections Reserves Stocks All Reports Filter by: All Data Analysis Projections Weekly Reports Today in Energy - Coal Short, timely articles with graphs about recent coal issues and trends Coal News & Markets Summarizes spot coal prices by coal commodity regions (i.e., Central Appalachia (CAP), Northern Appalachia (NAP), Illinois Basin (ILB), Power River Basin (PRB), and Uinta Basin (UIB)) in the United States. Weekly Coal Production Estimates of U.S. coal production by State based on railroad car loadings data. (archived versions) Archived Versions Weekly Coal Production - Archive Weekly NYMEX Coal Futures

364

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

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

365

Sandia National Laboratories: Analysis, Modeling, Cost of Energy...  

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

ProgramsAnalysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014 The "20% Wind Energy by...

366

Review of statistical energy analysis hypotheses in vibroacoustics  

Science Journals Connector (OSTI)

...articles 1009 1 191 177 Review of statistical energy analysis hypotheses in vibroacoustics T...rain-on-the-roof excitation, diffuse field and modal energy equipartition hypotheses when using statistical energy analysis (SEA). A first example of a simply...

2014-01-01T23:59:59.000Z

367

Energy localization and frequency analysis in the locust ear  

Science Journals Connector (OSTI)

...research-article Research articles 1004 25 29 34 Energy localization and frequency analysis in...are exquisitely adapted to capture sound energy and perform signal analysis. Studying...tsunami-like fashion, resulting in energy localization that focuses vibrations onto...

2014-01-01T23:59:59.000Z

368

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

SciTech Connect (OSTI)

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

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

2006-10-01T23:59:59.000Z

369

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

E-Print Network [OSTI]

of the thesis is written with the intent of reviewing some of the significant pieces of literature relating to Monte Carlo simulated REDT and exploratory data analysis Box Plots. In 1964 David Hertz published an article in the Harvard Business Review... entitled, "Risk Analysis in Capital Investment" (Hertz 1964). While this article does not directly discuss range estimating, it is the foundation for the current REDT theory. In his atticle, Hertz discussed the problems associated with estimating...

Clutter, David John

1992-01-01T23:59:59.000Z

370

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

Broader source: Energy.gov [DOE]

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

371

Vulnerability Analysis of Energy Delivery Control Systems  

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

0-18381 0-18381 Vulnerability Analysis of Energy Delivery Control Systems September 2011 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 The INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or

372

NREL: Energy Analysis - Technology Systems and Sustainability Analysis  

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

Technology Systems and Sustainability Analysis Technology Systems and Sustainability Analysis The following includes summary bios of staff expertise and interests in analysis related to infrastructure and systems; sustainability assessment; technoeconomic assessment; and water requirements. Team Lead: Margaret Mann Administrative Support: JoAnn Weaver Chad Augustine Alberta Carpenter Karlynn Cory Ran Fu Maureen Hand KC Hallett Ted James Garvin Heath Scott Jenne Aaron Levine Ben Maples Anelia Milbrandt Emily K. Newes Ethan Warner Kermit Witherbee Michael Woodhouse Katherine Young Yimin Zhang Photo of Chad Augustine. Chad Augustine Geothermal Energy Engineer/Analyst Areas of expertise Techno-economic modeling of Enhanced Geothermal Systems (EGS) Geothermal resource assessment High pressure, high temperature reaction systems

373

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

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

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

374

FIELD VALIDATION OF THE CLEAN POWER ESTIMATOR'S OBSTRUCTION ANALYSIS ALGORITHM  

E-Print Network [OSTI]

to provide obstruction profiles when it is difficult to be at the solar collector location (e) obstruction analysis algorithm based on results produced by the Solar PathfinderTM (SPF). Results indicate tables for two configurations: horizontal and south-facing at 30o -tilt. These tables are used

Perez, Richard R.

375

Southeast Regional Clean Energy Policy Analysis (Revised)  

SciTech Connect (OSTI)

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

McLaren, J.

2011-04-01T23:59:59.000Z

376

Energy Engineering & Systems Analysis Success Stories  

E-Print Network [OSTI]

Energy Engineering & Systems Analysis Success Stories "The result of improved cooling efficiency, contact Dileep Singh, dsingh@anl.gov Engineered Nanofluids for Enhanced Heat Transfer In an age needs, the heat transfer efficiency of conventional fluids must be improved. The Challenge Heat

Kemner, Ken

377

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

378

Photovoltaics Value Analysis | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Photovoltaics Value Analysis Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Photovoltaics Value Analysis Focus Area: Renewable Energy Topics: Environmental Website: www.nrel.gov/analysis/pdfs/42303.pdf Equivalent URI: cleanenergysolutions.org/content/photovoltaics-value-analysis Policies: Financial Incentives This study addresses photovoltaics (PV) distributed systems technology development; advanced distribution systems integration; system-level tests and demonstrations; technical and market analysis; resource assessment; and codes, standards, and regulatory implementation. The study defines a set of PV benefits and costs, such as greenhouse gas abatement or reliability, and then examines a series of case studies to ascertain whether the benefits of

379

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

Science Journals Connector (OSTI)

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

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

2008-01-01T23:59:59.000Z

380

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

Science Journals Connector (OSTI)

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

Tyler Gallion; Tyler Harrison; Robert Hulverson; Kiril Hristovski

2014-01-01T23:59:59.000Z

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

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

Science Journals Connector (OSTI)

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

Shun Ching Lee

2012-01-01T23:59:59.000Z

382

Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable  

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

Life Cycle Cost Life Cycle Cost Analysis for Sustainable Buildings to someone by E-mail Share Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on Facebook Tweet about Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on Twitter Bookmark Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on Google Bookmark Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on Delicious Rank Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on Digg Find More places to share Federal Energy Management Program: Life Cycle Cost Analysis for Sustainable Buildings on AddThis.com... Sustainable Buildings & Campuses Basics

383

PNNL Technology Systems Analysis Group | Open Energy Information  

Open Energy Info (EERE)

Analysis Group Analysis Group (Redirected from Technology Systems Analysis) Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Website http://tsa.pnl.gov/ References Technology Systems Analysis [1] "The Technology Systems Analysis group is part of the Pacific Northwest National Laboratory's Energy Environment Directorate. Our signature capabilities include sustainable design and development, building systems and energy technology analysis, and carbon management. We work with government and private sector clients to solve energy, environmental, and economic systems challenges, such as global climate change, sustainable development, energy systems. Examples of our current work include

384

Energy System and Scenario Analysis Toolkit | Open Energy Information  

Open Energy Info (EERE)

Energy System and Scenario Analysis Toolkit Energy System and Scenario Analysis Toolkit Jump to: navigation, search Stage 3 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other economic and resource data as needed for LEDS development

385

Energy System and Scenario Analysis Toolkit | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Gateway:International/Energy Scenario Analysis) (Redirected from Gateway:International/Energy Scenario Analysis) Jump to: navigation, search Stage 3 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other

386

NREL: Energy Analysis - Life Cycle Assessment Harmonization  

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

Life Cycle Assessment Harmonization Life Cycle Assessment Harmonization Life Cycle Greenhouse Gas Emissions from Electricity Generation (Fact Sheet) Cover of the Life Cycle Greenhouse Gas Emissions from Electricity Generation factsheet Download the Fact Sheet The U.S. Department of Energy enlisted NREL to review and "harmonize" life cycle assessments (LCA) of electricity generation technologies. Hundreds of assessments have been published, often with considerable variability in results. These variations in approach, while usually legitimate, hamper comparison across studies and pooling of published results. Learn more about life cycle assessments of energy technologies. By harmonizing this data, NREL seeks to reduce the uncertainty around estimates for environmental impacts of renewables and increase the value of

387

Building America Analysis Spreadsheets | Department of Energy  

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

America Analysis Spreadsheets America Analysis Spreadsheets Building America Analysis Spreadsheets The Building America Analysis Spreadsheets are companions to the House Simulation Protocols, and can assist with many of the calculations and look-up tables found in the report. The spreadsheets provide the set of standard operating conditions-including hourly and monthly profiles for occupancy, lighting, appliances, and miscellaneous electric loads (MELs)-developed by Building America to objectively compare energy use before and after a retrofit, and against a Benchmark new construction building. Building America analysts may also find the spreadsheets useful for documenting and comparing building characteristics for the Building America projects (pre-retrofit vs. post-retrofit, or new construction test

388

Energy Engineering Analysis Program, Fort Bliss, TX. Executive summary  

SciTech Connect (OSTI)

This is a brief overview of a report which consists of nine volumes and a set of appendices in which the EEAP results are presented. All calculational routines for the analyzed Energy Conserving Measures (ECM`s) are either explicitly presented or the computer code employed is referenced. The purpose of the presentation is to allow others to follow the procedures in a straight-forward manner. Costs of implementing an ECM are also shown, broken out by labor and material where applicable, referenced and adjusted to the Fort Bliss market. Where appropriate, applicability lists have been prepared identifying where the ECM`s are to be implemented. Additionally, ECIP Economic Analysis Summary Sheets, Detailed Cost Estimates and Life Cycle Cost Analysis Summary Sheets are included where appropriate. A brief overview of each volume is presented below.

NONE

1984-04-01T23:59:59.000Z

389

Energy Engineering Analysis Program, Fort Bliss, TX. Executive summary  

SciTech Connect (OSTI)

This summary provides a brief overview of a report which consists of nine volumes and a set of appendices in which the EEAP results to date are presented. All calculational routines for the analyzed Energy Conserving Measures (ECM`s) are either explicitly presented or the computer code employed is referenced. The purpose of the presentation is to allow others to follow the procedures in a straight-forward manner. Costs of implementing an ECM are also shown, broken out by labor and material where applicable, referenced and adjusted to the Fort Bliss market. Where appropriate, applicability lists have been prepared identifying where the ECM1s are to be implemented. Additionally, ECIP Economic Analysis Summary Sheets, Detailed Cost Estimates, and Life Cycle Cost Analysis Summary Sheets are included where appropriate. A brief overview of each volume is presented below.

NONE

1983-09-01T23:59:59.000Z

390

Building Energy Software Tools Directory: Analysis Platform  

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

Analysis Platform Analysis Platform Technical and economic performance estimation for building heating, cooling, and water heating equipment, including power generating options such as photovoltaics, fuel cells, and cogeneration. Based on representative loads in residential and commercial sectors. Focus on HVAC, aggregated electric, and integrated systems. Keywords heating, cooling, and SWH equipment, commercial buildings Validation/Testing N/A Expertise Required Moderate. Users N/A Audience Building end-use analysts, engineers, policy analysts. Input Building loads (selected from library, electric and fossil fuel rates, weather parameters, type of equipment, equipment operating parameters, and operating schedules. Allows detailed specification of equipment behavior, or use of default data. Data options correspond to selectable skills

391

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

SciTech Connect (OSTI)

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

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

2008-03-01T23:59:59.000Z

392

PNNL Technology Systems Analysis Group | Open Energy Information  

Open Energy Info (EERE)

Technology Systems Analysis Group Technology Systems Analysis Group Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Website http://tsa.pnl.gov/ References Technology Systems Analysis [1] "The Technology Systems Analysis group is part of the Pacific Northwest National Laboratory's Energy Environment Directorate. Our signature capabilities include sustainable design and development, building systems and energy technology analysis, and carbon management. We work with government and private sector clients to solve energy, environmental, and economic systems challenges, such as global climate change, sustainable development, energy systems. Examples of our current work include

393

Data Center Alternative Cooling Analysis Tool - Energy Innovation...  

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

Efficiency Building Energy Efficiency Find More Like This Return to Search Data Center Alternative Cooling Analysis Tool National Renewable Energy Laboratory Contact NREL About...

394

NREL: Energy Analysis - Jørn Aabakken  

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

Jørn Aabakken Jørn Aabakken Photo of Jorn Aabakken. Jørn Aabakken is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Analyst I On staff since 1999 Phone number: 303-384-7525 E-mail: jorn_aabakken@nrel.gov Areas of expertise Web applications with database connectivity Drupal, PHP, JavaScript, mySQL, Apache, MediaWiki, Simile Exhibit, SVN, Solr Market research Google Analytics Primary research interests Online Communities Web Applications Technology Characterizations Renewable energy scenarios Education and background training B.S. in economics, The Pennsylvania State University M.S. in mineral economics, The Pennsylvania State University Prior work experience Associate, Resource Dynamics Corporation (RDC), Vienna, Virginia Selected publications and websites

395

Energy Analysis Program. 1992 Annual report  

SciTech Connect (OSTI)

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

Not Available

1993-06-01T23:59:59.000Z

396

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect (OSTI)

Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

2012-08-01T23:59:59.000Z

397

Methodology for Validating Building Energy Analysis Simulations  

SciTech Connect (OSTI)

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

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

2008-04-01T23:59:59.000Z

398

An Estimate of the Thermodynamic Pressure in High-Energy Collisions  

E-Print Network [OSTI]

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

Tawfik, Abdel Nasser

2015-01-01T23:59:59.000Z

399

NREL: Energy Analysis - News Archive 2001  

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

1 1 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Customer Choice Would Advance Renewable Energy New Financial Analysis Model for RE Technologies Now Available Online Latest Study Shows Consumer "Willingness-to-Pay" for Renewable Energy October 2001 Customer Choice Would Advance Renewable Energy Giving consumers a greater choice of how their electricity is generated could boost solar, wind, and other "green power" sources 40 percent by the end of the decade, according to a new study by NREL and Lawrence Berkeley National Laboratory (LBNL). The findings are based on detailed modeling of green power demand, drawing on the experience of green power markets to date and consumer response to other "green" products. Currently offered by

400

NREL: Energy Analysis - Models and Tools Archive  

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

Models and Tools Archive Models and Tools Archive Through the years, NREL has developed and supported several models and tools to assess, analyze, and optimize renewable energy and energy efficiency technologies. Some of these have been transferred to the private market. This page lists tools we have supported, but that are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. In 2003, ADVISOR was commercialized by AVL Powertrain Engineering, Inc. Hybrid2 Conduct detailed long-term performance and economic analysis on a wide variety of hybrid power systems. RET Finance Calculate the cost of energy of renewable electricity generation

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

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

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

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

402

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

Science Journals Connector (OSTI)

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

Kristy Revell

2014-01-01T23:59:59.000Z

403

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

E-Print Network [OSTI]

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

California at Berkeley, University of

404

SWERA/Analysis Tools | 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 Page Edit History Facebook icon Twitter icon » SWERA/Analysis Tools < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Analysis ToolsPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA OpenCarto OpenCarto houses the SWERA web based GIS application and provides the tools and data to support a variety of user communities in both small and large project planning, feasibility assessment, policy making, and decision support. The interface is designed to support collaboration across industries, geography, and research domains by providing interoperability

405

Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes: An Analysis of European Countries  

E-Print Network [OSTI]

,000 households in ten EU countries and Norway. Knowledge of energy consumption and energy-efficient technology1 Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes of measures of household energy use behavior are estimated using a unique dataset of approximately 5

Paris-Sud XI, Université de

406

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

E-Print Network [OSTI]

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

Taylor, Margaret

2014-01-01T23:59:59.000Z

407

EIS-0281-SA-03: Supplement Analysis | Department of Energy  

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

3: Supplement Analysis EIS-0281-SA-03: Supplement Analysis Installation of a Petawatt Laser System in TA-IV Department of Energy has identified a need to revitalize High Energy...

408

Biomass energy analysis for crop dehydration  

SciTech Connect (OSTI)

In 1994, an agricultural processing facility was constructed in southern New Mexico for spice and herb dehydration. Annual operational costs are dominated by energy costs, due primarily to the energy intensity of dehydration. A feasibility study was performed to determine whether the use of biomass resources as a feedstock for a cogeneration system would be an economical option. The project location allowed access to unusual biomass feedstocks including cotton gin trash, pecan shells and in-house residues. A resource assessment of the immediate project area determined that approximately 120,000 bone dry tons of biomass feedstocks are available annually. Technology characterization for the plant energy requirements indicated gasification systems offer fuel flexibility advantages over combustion systems although vendor support and commercial experience are limited. Regulatory siting considerations introduce a level of uncertainty because of a lack of a precedent in New Mexico for gasification technology and because vendors of commercial gasifiers have little experience operating such a facility nor gathering emission data. A public opinion survey indicated considerable support for renewable energy use and biomass energy utilization. However, the public opinion survey also revealed limited knowledge of biomass technologies and concerns regarding siting of a biomass facility within the geographic area. The economic analysis conducted for the study is based on equipment vendor quotations, and indicates there will be difficulty competing with current prices of natural gas.

Whittier, J.P.; Haase, S.G.; Quinn, M.W. [and others

1994-12-31T23:59:59.000Z

409

PV Installation Labor Market Analysis and PV JEDI Tool Developments (Presentation), NREL (National Renewable Energy Laboratory)  

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

PV Installation Labor Market Analysis PV Installation Labor Market Analysis and PV JEDI Tool Developments Barry Friedman NREL Strategic Energy Analysis Center May 16, 2012 World Renewable Energy Forum Denver, Colorado NREL/PR-6A20-55130 NATIONAL RENEWABLE ENERGY LABORATORY Disclaimer 2 DISCLAIMER AGREEMENT These information ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy LLC ("Alliance") for the U.S. Department of Energy (the "DOE"). It is recognized that disclosure of these Data is provided under the following conditions and warnings: (1) these Data have been prepared for reference purposes only; (2) these Data consist of forecasts, estimates or assumptions made on a best-

410

NREL Biorefinery Analysis Process Models | Open Energy Information  

Open Energy Info (EERE)

NREL Biorefinery Analysis Process Models AgencyCompany Organization: National Renewable Energy Laboratory Website: www.nrel.govextranetbiorefineryaspenmodels Transport...

411

Energy System and Scenario Analysis Toolkit | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries Benin | Burkina Faso | Cape Verde | Gambia | Ghana | Guinea| Guinea-Bissau | Ivory Coast | Liberia | Mali | Niger | Nigeria | Senegal | Sierra Leone | Togo Countries ECREEE light.JPG FBenin.png FBurkinaFaso.png FCapeVerde.png FGambia.png FGhana.png FGuinea.png FGuinea-Bissau.png Benin Burkina Faso Cape Verde Gambia Ghana Guinea Guinea-Bissau FIvoryCoast.png FLiberia.png FMali.png FNiger.png FNigeria.png FSenegal.png FSierraLeone.png FTogo.png Ivory Coast Liberia Mali Niger Nigeria Senegal Sierra Leone Togo What analysis tools and methods can I use to study my country's energy system? Understanding approaches

412

Detection-estimation of very close emitters: performance breakdown, ambiguity, and general statistical analysis of maximum-likelihood estimation  

Science Journals Connector (OSTI)

We reexamine the well-known problem of "threshold behavior" or "performance breakdown" in the detection-estimation of very closely spaced emitters. In this extreme regime, we analyze the performance for maximum-likelihood estimation (MLE) of directions-of-arrival ... Keywords: direction-of-arrival (DOA) estimation, maximum-likelihood estimation, random matrix theory, signal detection, signal resolution

Yuri I. Abramovich; Ben A. Johnson

2010-07-01T23:59:59.000Z

413

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

SciTech Connect (OSTI)

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

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

2012-04-01T23:59:59.000Z

414

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

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

Authors, Various

2010-01-01T23:59:59.000Z

415

NREL: Energy Analysis - Useful Life Footprint  

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

Land Use by System Technology Land Use by System Technology Transparent Cost Database Button The table below shows a range of system sizes for each technology and is intended to be used for a high level estimation of initial system capacity. Actual size may vary. The information was compiled by performing a literature search, using an NREL database with data from actual systems in the field, and interviewing NREL experts. Default system size values from NREL tools such as Renewable Energy Optimization (REopt) and In My Back Yard (IMBY) were also used. The mean system size was calculated from the average and the high/low data, as was the +/- 1 standard deviation range. 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

416

EnergyPlus Run Time Analysis  

E-Print Network [OSTI]

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

Hong, Tianzhen

2009-01-01T23:59:59.000Z

417

Analysis of the Clean Energy Standard Act of 2012  

Gasoline and Diesel Fuel Update (EIA)

Analysis of the Clean Energy Analysis of the Clean Energy Standard Act of 2012 May 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Analysis of the Clean Energy Standard Act of 2012 ii Contacts This report, Analysis of the Clean Energy Standard Act of 2012, was prepared under the general guidance of John Conti, Assistant Administrator for Energy Analysis, J. Alan Beamon at 202/586-2025 (email, joseph.beamon@eia.gov), Director, Office of Electricity, Coal, Nuclear, and Renewable Analysis, and Robert T. Eynon at 202/586-2392 (email, robert.eynon@eia.gov), Leader, Renewable Electricity Analysis Team. Technical information concerning the content of the report may be obtained from Chris Namovicz at

418

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

E-Print Network [OSTI]

FIRST YEAR ANALYSIS OF INIXJSTRIAL ENERGY crNSERVATIOO IN TEXAS A&M' S ENERGY ANALYSIS AND DIAEnergy Analysis and Diagnostic Center Mechanical Engineering Department Texas A&M University COllege Station..., Texas ABSTRACT Texas A&M University's Energy Analysis and Diagnostic Center (EADC) performed 15 energy audits of small- to medium-size manufacturing plants during its first year. The EADC program is funded by the United States Department...

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

419

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

420

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

E-Print Network [OSTI]

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

Firestone, Jeremy

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

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

SciTech Connect (OSTI)

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

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

2010-12-08T23:59:59.000Z

422

Sensitivity and Uncertainty Analysis to Burnup Estimates on ADS using the ACAB Code  

Science Journals Connector (OSTI)

Within the scope of the Accelerator Driven System (ADS) concept for nuclear waste management applications the burnup uncertainty estimates due to uncertainty in the activation cross sections (XSs) are important regarding both the safety and the efficiency of the waste burning process. We have applied both sensitivity analysis and Monte Carlo methodology to actinides burnup calculations in a lead?bismuth cooled subcritical ADS. The sensitivity analysis is used to identify the reaction XSs and the dominant chains that contribute most significantly to the uncertainty. The Monte Carlo methodology gives the burnup uncertainty estimates due to the synergetic/global effect of the complete set of XS uncertainties. These uncertainty estimates are valuable to assess the need of any experimental or systematic re?evaluation of some uncertainty XSs for ADS.

O. Cabellos; J. Sanz; A. Rodríguez; E. González; M. Embid; F. Alvarez; S. Reyes

2005-01-01T23:59:59.000Z

423

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

How does EIA estimate energy consumption and end uses in U.S. homes? How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses â€" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

424

AN ANALYSIS OF SOME PRACTICAL METHODS FOR ESTIMATING HEATS OF COMBUSTION IN  

E-Print Network [OSTI]

99-42 AN ANALYSIS OF SOME PRACTICAL METHODS FOR ESTIMATING HEATS OF COMBUSTION IN FIRE SAFETY (*) Factory Mutual Research Corporation, Norwood, Ma, USA ABSTRACT The theoretical (net) heat of combustion of the heats of combustion, that is to say when at most a simple datasheet processor is the only tool required

Paris-Sud XI, Université de

425

Arterial Travel Time Estimation Based On Vehicle Re-Identification Using Magnetic Sensors: Performance Analysis  

E-Print Network [OSTI]

: the arterial travel time estimation system is summarized in Section II. The test site and vehicle detection are explained in Section IV. An analysis of the ground truth and the vehicle detection system data is presented City (Figure 1). The performance of the original system and the system with the modified vehicle re

Horowitz, Roberto

426

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

E-Print Network [OSTI]

.2 Challeges in Probabilistic Reserves Estimation............................4 CHAPTER III METHODOLOGY……………………………… .............................10 3.1 Modified Bootstap and Block Resampling.................................10 3.2 Backward Analysis Scheme.... ....................................................................11 3.2 Modified bootstrap sequence. ...........................................................................11 3.3 Original data for conventional bootstrap example............................................12 3.4 Synthetic data set 1...

Wang, Yuhong

2007-09-17T23:59:59.000Z

427

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

SciTech Connect (OSTI)

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

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

2010-04-14T23:59:59.000Z

428

Renewable Energy Economic and Financial Analysis Terms of Reference | Open  

Open Energy Info (EERE)

Renewable Energy Economic and Financial Analysis Terms of Reference Renewable Energy Economic and Financial Analysis Terms of Reference Jump to: navigation, search Tool Summary Name: Renewable Energy Economic and Financial Analysis Terms of Reference 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: Renewable Energy Economic and Financial Analysis Terms of Reference[1] Resources Techno-Economic Comparison of Off-grid Options -- Assessment of Household, Battery Charging and Isolated Micro-Grid Systems Economic Analysis of Solar PV Systems Component References ↑ "Renewable Energy Economic and Financial Analysis Terms of Reference" Retrieved from

429

U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis | Open  

Open Energy Info (EERE)

Technical Potentials: A GIS-Based Analysis Technical Potentials: A GIS-Based Analysis Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: U.S. Renewable Energy Technical Potentials: A GIS-Based Analysis Abstract Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential is that it establishes an upper-boundary estimate of development potential. Authors Anthony Lopez, Billy Roberts, Donna Heimiller, Nate Blair and Gian Porro Organization National Renewable Energy Laboratory Published National Renewable Energy Laboratory, 2012 Report Number NREL/TP-6A20-51946 DOI

430

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

Science Journals Connector (OSTI)

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

Neus Sanjuán; Franziska Stoessel; Stefanie Hellweg

2013-12-17T23:59:59.000Z

431

Estimating expected energy capture at potential wind turbine sites in Norway  

Science Journals Connector (OSTI)

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

T.A. Nygaard

1992-01-01T23:59:59.000Z

432

Karuk Tribe Strategic Energy Plan and Energy Options Analysis  

SciTech Connect (OSTI)

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

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

2009-03-31T23:59:59.000Z

433

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

SciTech Connect (OSTI)

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

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

1980-06-01T23:59:59.000Z

434

Strategic analysis of energy efficiency projects: Case study of a steel mill in Manitoba  

Science Journals Connector (OSTI)

Abstract An analysis of energy efficiency opportunities at a steel mill were undertaken using two energy modeling tools, the \\{RETScreen\\} Clean Energy Project Analysis Software (RETScreen) and the Process Heat Assessment and Survey Tool (PHAST). A number of energy efficiency opportunities were found to be feasible in this analysis at Gerdau North America Long Steel-Manitoba Mill. The waste heat recovery opportunities included: (1) preheating combustion air in the ladle preheater, with an estimated energy savings of 22,000 GJ/yr and a payback period of 10 months; and, (2) preheating billets with an estimated energy savings of 60,323 GJ/yr and a payback period of three years. Changing natural gas space heaters to more energy efficient and safer models was both socially and economically beneficial, although having a longer payback period of 4.5 years. Oxy-fuel combustion was not deemed feasible as oxygen costs negated any natural gas savings and the productivity gains were not considered applicable. The strategic analysis showed that environmental, economic and productivity benefits were larger than the smaller concerns of: production interruption, the economic barriers of capital costs, as well as the risks posed by a downturn in the economy or by outsourcing.

Shirley Thompson; Minxing Si

2014-01-01T23:59:59.000Z

435

Energy intensities and CO2 emissions in Catalonia: a SAM analysis  

Science Journals Connector (OSTI)

In this paper, we estimate sectoral energy intensities and CO2 emissions for the Catalonian economy. In order to evaluate energy intensities, we use the SAM (Social Accounting Matrix) multiplier analysis applied to a SAM of the economy. CO2 emissions are estimated by means of the Leontief input-output submodel of the SAM, together with a table of coefficients of emissions per unit of monetary expenditures. This new methodology allows us to dispense with energy input-output tables for the base period. Our results are of the same order of magnitude as others obtained by physical measurement methods. We also simulate how changes in demand and energy energy efficiency parameters may affect CO2 emissions for the economy.

Antonio Manresa; Ferran Sancho

2004-01-01T23:59:59.000Z

436

Northern Nevada Geothermal Exploration Strategy Analysis | Open Energy  

Open Energy Info (EERE)

Nevada Geothermal Exploration Strategy Analysis Nevada Geothermal Exploration Strategy Analysis Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Northern Nevada Geothermal Exploration Strategy Analysis Details Activities (1) Areas (1) Regions (0) Abstract: The results of exploration techniques applied to geothermal resource investigations in northern Nevada were evaluated and rated by seven investigators involved in the work. A quantitative rating scheme was used to obtain estimates of technique effectiveness. From survey cost information we also obtained and compared cost-effectiveness estimates for the various techniques. Effectiveness estimates were used to develop an exploration strategy for the area. However, because no deep confirmatory drilling has been done yet, the technique evaluations and exploration

437

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

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

Authors, Various

2010-01-01T23:59:59.000Z

438

Uncertainty analysis of geothermal energy economics.  

E-Print Network [OSTI]

?? This dissertation research endeavors to explore geothermal energy economics by assessing and quantifying the uncertainties associated with the nature of geothermal energy and energy… (more)

Sener, Adil Caner

2009-01-01T23:59:59.000Z

439

NREL: Energy Analysis - Francisco Flores-Espino  

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

Economic impacts of renewable energy deployment Policy influence on energy markets Education and background training M.S. in energy and management, University of Colorado,...

440

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

SciTech Connect (OSTI)

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

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

2011-09-01T23:59:59.000Z

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.


441

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

E-Print Network [OSTI]

. 60x10 1. 16x10 4. 16x10 1. 01 9. 13x10 1. 51 2. 07%10 6. 51x10 5. 42x10 8. 18 3. 16x10 26 function approximated in the tt parameter space gives a mean prediction error which is essentially zero. However, using the permeability estimates obtained.... G ver (Mem er) . L. Curry . D. Ho land ( d of Department) December 1983 ABSTRACT Estimating Rock Properties In Two Phase Petroleum Reservoirs: An Error Analysis. (December 1983) Anthony Ian Paul B. Sc. , Imperial College, London University...

Paul, Anthony Ian

1983-01-01T23:59:59.000Z

442

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

Science Journals Connector (OSTI)

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

Chris Kuo

2011-10-01T23:59:59.000Z

443

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

444

EnergyPlus Run Time Analysis  

E-Print Network [OSTI]

net-zero energy buildings. EnergyPlus does sub-hourly calculationsnet zero energy buildings. EnergyPlus does sub-hourly whole building integrated heat balance calculations

Hong, Tianzhen

2009-01-01T23:59:59.000Z

445

State Clean Energy Policies Analysis (SCEPA) Project: An Analysis of Renewable Energy Feed-in Tariffs in the United States  

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

51 51 Revised June 2009 State Clean Energy Policies Analysis (SCEPA) Project: An Analysis of Renewable Energy Feed-in Tariffs in the United States Toby Couture E3 Analytics Karlynn Cory National Renewable Energy Laboratory 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-6A2-45551 Revised June 2009 State Clean Energy Policies Analysis (SCEPA) Project: An Analysis of Renewable Energy Feed-in Tariffs in the United States Toby Couture E3 Analytics Karlynn Cory

446

COMPARISON AND ANALYSIS OF GREEDY ENERGY-EFFICIENT  

E-Print Network [OSTI]

CHAPTER 1 COMPARISON AND ANALYSIS OF GREEDY ENERGY-EFFICIENT SCHEDULING ALGORITHMS;2 COMPARISON AND ANALYSIS OF GREEDY ENERGY-EFFICIENT SCHEDULING ALGORITHMS FOR COMPUTATIONAL GRIDS consumption computational network, enabled with soft- ware that allows cooperation and the sharing of resources. The energy

Li, Juan "Jen"

447

Production of Mallee Biomass in Western Australia: Energy Balance Analysis  

Science Journals Connector (OSTI)

Production of Mallee Biomass in Western Australia: Energy Balance Analysis† ... If mallee crops prove commercially viable, a considerable centrally harvested biomass supply could be available for conversion to renewable energy and other industrial products. ... This study presents a systematic analysis of overall energy balance of mallee biomass production in WA. ...

Hongwei Wu; Qiang Fu; Rick Giles; John Bartle

2007-09-25T23:59:59.000Z

448

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

California Energy Supply Model Operation Resource Requirements Dimensions of Housing Types , Annual Incremental Energy and Capacity Savings from Passive Solar

Authors, Various

2010-01-01T23:59:59.000Z

449

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

SciTech Connect (OSTI)

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

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

2010-10-01T23:59:59.000Z

450

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network [OSTI]

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

451

Stand-alone Renewable Energy-Economic and Financial Analysis | Open Energy  

Open Energy Info (EERE)

Stand-alone Renewable Energy-Economic and Financial Analysis Stand-alone Renewable Energy-Economic and Financial Analysis Jump to: navigation, search Tool Summary Name: Stand-alone Renewable Energy-Economic and Financial Analysis Agency/Company /Organization: World Bank Sector: Energy Focus Area: Renewable Energy Topics: Finance, Implementation, Market analysis, Background analysis Website: web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTENERGY2/EXTRENENERGYTK/0,, Country: Philippines South-Eastern Asia References: Stand-alone Renewable Energy-Economic and Financial Analysis[1] Background Economic Analysis of Solar Home Systems: A Case Study for the Philippines, Peter Meier, Prepared for The World Bank, Washington, D.C. References ↑ "Stand-alone Renewable Energy-Economic and Financial Analysis" Retrieved from

452

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

E-Print Network [OSTI]

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

Bolinger, Mark

2014-01-01T23:59:59.000Z

453

Threat Analysis Framework | Department of Energy  

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

Threat Analysis Framework The need to protect national critical infrastructure has led to the development of a threat analysis framework. The threat analysis framework can be...

454

System Analysis Success Stories | Department of Energy  

Office of Environmental Management (EM)

System Analysis Success Stories Program Links System Analysis Projects System Analysis Success Stories Economic Impact Tools National Geothermal Data System (NGDS) Initiative...

455

Geothermal Play Fairway Analysis | Department of Energy  

Energy Savers [EERE]

Analysis Geothermal Play Fairway Analysis pfw-webinar.pptx More Documents & Publications Geothermal Play Fairway Analysis LOW TEMPERATURE GEOTHERMAL MINERAL RECOVERY PROGRAM 0211...

456

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

SciTech Connect (OSTI)

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

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

2008-01-01T23:59:59.000Z

457

NREL: Energy Analysis - Hydropower Results - Life Cycle Assessment...  

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

of the systematic review and analysis. The majority of life cycle greenhouse gas (GHG) emission estimates for hydropower cluster between about 4 and 14 g CO2eqkWh. The...

458

2010 Solar Market Transformation Analysis and Tools | Open Energy  

Open Energy Info (EERE)

2010 Solar Market Transformation Analysis and Tools 2010 Solar Market Transformation Analysis and Tools Jump to: navigation, search Tool Summary Name: 2010 Solar Market Transformation Analysis and Tools Agency/Company /Organization: U.S. Department of Energy Sector: Energy Focus Area: Renewable Energy, Solar Topics: Market analysis, Pathways analysis, Technology characterizations Resource Type: Publications, Guide/manual Website: www1.eere.energy.gov/solar/pdfs/2010_mt_overview.pdf 2010 Solar Market Transformation Analysis and Tools Screenshot References: 2010 Solar Market Transformation Analysis and Tools[1] This document describes the DOE-funded solar market transformation analysis and tools under developm This document describes the DOE-funded solar market transformation analysis and tools under development in FY10 so that stakeholders can access

459

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

460

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

Open Energy Info (EERE)

renewable energy industry, and others to conduct public interest research on renewable energy markets, policies, costs, benefits, and performance. "Lawrence Berkeley National...

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

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

462

Age estimation in forensic sciences: Application of combined aspartic acid racemization and radiocarbon analysis  

SciTech Connect (OSTI)

Age determination of unknown human bodies is important in the setting of a crime investigation or a mass disaster, since the age at death, birth date and year of death, as well as gender, can guide investigators to the correct identity among a large number of possible matches. Traditional morphological methods used by anthropologists to determine age are often imprecise, whereas chemical analysis of tooth dentin, such as aspartic acid racemization has shown reproducible and more precise results. In this paper we analyze teeth from Swedish individuals using both aspartic acid racemization and radiocarbon methodologies. The rationale behind using radiocarbon analysis is that above-ground testing of nuclear weapons during the cold war (1955-1963) caused an extreme increase in global levels of carbon-14 ({sup 14}C) which have been carefully recorded over time. Forty-four teeth from 41 individuals were analyzed using aspartic acid racemization analysis of tooth crown dentin or radiocarbon analysis of enamel and ten of these were split and subjected to both radiocarbon and racemization analysis. Combined analysis showed that the two methods correlated well (R2=0.66, p < 0.05). Radiocarbon analysis showed an excellent precision with an overall absolute error of 0.6 {+-} 04 years. Aspartic acid racemization also showed a good precision with an overall absolute error of 5.4 {+-} 4.2 years. Whereas radiocarbon analysis gives an estimated year of birth, racemization analysis indicates the chronological age of the individual at the time of death. We show how these methods in combination can also assist in the estimation of date of death of an unidentified victim. This strategy can be of significant assistance in forensic casework involving dead victim identification.

Alkass, K; Buchholz, B A; Ohtani, S; Yamamoto, T; Druid, H; Spalding, S L

2009-11-02T23:59:59.000Z

463

Novel Tool Allows Quicker, More Versatile Analysis of Energy Production  

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

Tool Allows Quicker, More Versatile Analysis of Energy Tool Allows Quicker, More Versatile Analysis of Energy Production Technologies Novel Tool Allows Quicker, More Versatile Analysis of Energy Production Technologies June 19, 2012 - 1:00pm Addthis Washington, DC - A new energy production technology analysis tool that could lead to cost-effective improvements for energy generation and lower costs for consumers is now available on the National Energy Technology Laboratory (NETL) website. Available at no cost, the Power Systems Life Cycle Analysis Tool (Power LCAT) compares seven energy-production technologies: natural gas combined cycle, integrated gasification combined cycle, existing and supercritical pulverized coal, existing and new nuclear, and onshore wind. An option for capturing and sequestering carbon dioxide emissions is also included for

464

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

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

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

465

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

E-Print Network [OSTI]

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

Gille, Sarah T.

466

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

E-Print Network [OSTI]

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

Simunic, Tajana

467

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

E-Print Network [OSTI]

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

Zollanvari, Amin

2012-02-14T23:59:59.000Z

468

15-11-061ETSAP Energy Technology Systems Analysis  

E-Print Network [OSTI]

Technological Progress in TIMES Models. Martin Baumann, Graz Austria. Wind · Wind Energy: A Challenge for Energy. Energi og Samfund · RES 2020 Monitoring and Evaluation of the RES directives: implementation in EU2715-11-061ETSAP Energy Technology Systems Analysis Programme (ETSAP) ­ Annex X ETSAP Semi

469

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

Office of Environmental Management (EM)

to collect. The workflow will allow for fast and easy prediction of building energy usage. This will promote the integration of energy analysis into the design of buildings and...

470

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

SciTech Connect (OSTI)

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

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

1980-08-01T23:59:59.000Z

471

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

472

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

E-Print Network [OSTI]

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

Ioannis Anapolitanos

2014-10-21T23:59:59.000Z

473

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

E-Print Network [OSTI]

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

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

474

Analysis of Enterprise Energy Audit Countermeasure in China  

Science Journals Connector (OSTI)

Energy audit is the main approach to improve energy management and excavate energy conservation potential for Chinese enterprises. This paper uses game theory analysis tools to establish a government, energy auditors and audited the tripartite game model. By analysis of three strategies and payoff functions, it draws the conclusions about the game equilibrium solution. On the basis, propose the control countermeasures with respect to the problem of corruption and reduce the losses caused by uncertain information.

Liu Xuezhi; Cui Ying

2011-01-01T23:59:59.000Z

475

Sensitivity Analysis of Offshore Wind Cost of Energy (Poster), NREL (National Renewable Energy Laboratory)  

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

Plant Sensitivity Analysis Plant Sensitivity Analysis Abstract NREL Wind Energy Systems Engineering Tool Sensitivity Analysis and Results Sensitivity Analysis of Offshore Wind Cost of Energy Sensitivity Analysis of Offshore Wind Cost of Energy K. Dykes, A. Ning, P. Graf, G. Scott, R. Damiani, M. Hand, R. Meadows, W. Musial, P. Moriarty, P. Veers * National Renewable Energy Laboratory * Golden, Colorado K. Dykes, A. Ning, P. Graf, G. Scott, R. Damiani, M. Hand, R. Meadows, W. Musial, P. Moriarty, P. Veers * National Renewable Energy Laboratory * Golden, Colorado Introduction OFFSHORE WINDPOWER 2012, Virginia Beach, October 911, 2012 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. NREL/PO-5000-56411

476

NREL: Energy Analysis - Energy Data for Decision Makers  

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

Energy Data for Decision Makers Energy Data for Decision Makers The National Renewable Energy Laboratory (NREL) is home to a wealth of data and tools that can be linked together to derive knowledge and expand decision-making capabilities. Our platform links energy communities and decision makers such as policymakers, researchers, technology investors, venture capitalists, and market professionals - with valuable energy data, information, analyses, tools, images, maps, and other resources. Cover of the Renewable Energy Data Book. Cover of the Renewable Energy Data Book. Cover of the Power Technologies Energy Data Book. Cover of the Renewable Energy Data Book. A map visually representing state and congressional funding in the U.S by state. A screenshot of the 20% Wind Energy 2030 website.

477

Office of Energy Policy and Systems Analysis Site Upgrade  

Broader source: Energy.gov [DOE]

Office of Energy Policy and Systems Analysis site is currently being upgraded to better serve on audience. Please check back shortly.

478

Free Energy Analysis of Lipid Tail Protrusions from Atomistic...  

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

Free Energy Analysis of Lipid Tail Protrusions from Atomistic Molecular Dynamics Simulations Event Sponsor: Mathematics and Computing Science - LANS Seminar Start Date: Oct 29 2014...

479

Comparative analysis of energy allocation to tissue and skeletal ...  

Science Journals Connector (OSTI)

Here, we provide the first comparative analysis of energy investment into tissue ... growth model based on colony geometry, tissue mass and quality (enthalpy), ...

480

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

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

ANALYSIS OF CEE HOUSEHOLD SURVEY ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR ® FOR 2012 TABLE OF CONTENTS Acknowledgements .................................................................................. ii Executive Summary ............................................................................ ES-1 Introduction ............................................................................................... 1 Methodology Overview ............................................................................. 2 Key Findings ............................................................................................. 5 Recognition .................................................................................................................. 5 Understanding ........................................................................................................... 12

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

Analysis Activities at Fossil Energy/ National Energy Technology Laboratory  

Broader source: Energy.gov [DOE]

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

482

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

E-Print Network [OSTI]

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

483

Simulating Urban Environments for Energy Analysis  

E-Print Network [OSTI]

compute the fraction of light energy transmitted along theregion. To evaluate the light energy shining on buildings,Given the light intensity from 2.3, the energy transfer to

Weber, Gunther H.

2014-01-01T23:59:59.000Z

484

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 million barrels per day in 2002 to 103 million barrels per day in 2015 and to just over 119 million barrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 million barrels per day relative to the 2002 crude oil production capacity of 80.0 million barrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

485

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

SciTech Connect (OSTI)

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

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

1994-08-01T23:59:59.000Z

486

NREL: Energy Analysis - News Archive 2009  

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

Photovoltaic Installation Data October 2009 Land Use for Wind Energy State Bioenergy Primer Wind and Solar Resources in Bhutan Renewable Energy Markets Analysts Meet With...

487

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

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

Authors, Various

2010-01-01T23:59:59.000Z

488

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

E-Print Network [OSTI]

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

Nimmo, Francis