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1

Cylinder supplied ammonia scrubber testing in IDMS  

SciTech Connect (OSTI)

This report summarizes the results of the off-line testing the Integrated DWPF Melter System (IDMS) ammonia scrubbers using ammonia supplied from cylinders. Three additional tests with ammonia are planned to verify the data collected during off-line testing. Operation of the ammonia scrubber during IDMS SRAT and SME processing will be completed during the next IDMS run. The Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator (SME) scrubbers were successful in removing ammonia from the vapor stream to achieve ammonia vapor concentrations far below the 10 ppM vapor exit design basis. In most of the tests, the ammonia concentration in the vapor exit was lower than the detection limit of the analyzers so results are generally reported as <0.05 parts per million (ppM). During SRAT scrubber testing, the ammonia concentration was no higher than 2 ppM and during SME testing the ammonia concentration was no higher than 0.05 m.

Lambert, D.P.

1994-08-31T23:59:59.000Z

2

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

and against the SenseWear, a dedicated commercial product for energy expenditure estimation. Keywords: humanEnergy 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

Lu?trek, Mitja

3

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

SciTech Connect (OSTI)

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

Hutson, N.D.

1992-08-10T23:59:59.000Z

4

Estimating Renewable Energy Costs  

Broader source: Energy.gov [DOE]

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

5

2007 Estimated International Energy Flows  

SciTech Connect (OSTI)

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

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

2011-03-10T23:59:59.000Z

6

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

7

Ammonia scrubber testing during IDMS SRAT and SME processing. Revision 1  

SciTech Connect (OSTI)

This report summarizes results of the Integrated DWPF (Defense Waste Processing Facility) Melter System (IDMS) ammonia scrubber testing during the PX-7 run (the 7th IDMS run with a Purex type sludge). Operation of the ammonia scrubber during IDMS Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator (SME) processing has been completed. The ammonia scrubber was successful in removing ammonia from the vapor stream to achieve NH3 concentrations far below the 10 ppM vapor exist design basis during SRAT processing. However, during SME processing, vapor NH3 concentrations as high as 450 ppM were measured exiting the scrubber. Problems during the SRAT and SME testing were vapor bypassing the scrubber and inefficient scrubbing of the ammonia at the end of the SME cycle (50% removal efficiency; 99.9% is design basis efficiency).

Lambert, D.P.

1995-04-28T23:59:59.000Z

8

State energy data report 1993: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1995-07-01T23:59:59.000Z

9

State Energy Data Report, 1991: Consumption estimates  

SciTech Connect (OSTI)

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

Not Available

1993-05-01T23:59:59.000Z

10

State energy data report 1995 - 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 State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1997-12-01T23:59:59.000Z

11

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

12

Estimates of US biomass energy consumption 1992  

SciTech Connect (OSTI)

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

Not Available

1994-05-06T23:59:59.000Z

13

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

14

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

15

State energy data report 1992: Consumption estimates  

SciTech Connect (OSTI)

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

Not Available

1994-05-01T23:59:59.000Z

16

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

17

Estimating Energy Savings in Compressed Air Systems  

E-Print Network [OSTI]

are frequently overestimated because the methods used to estimate savings neglect to consider important factors such as compressor control and type, storage, and multiple compressor operation. In this paper, a methodology is presented for modeling air... compressor performance and calculating projected energy savings from easily obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load power or average fraction rated capacity. The methodology...

Schmidt, C.; Kissock, J. K.

2004-01-01T23:59:59.000Z

18

Parameter estimation for energy balance models with memory  

E-Print Network [OSTI]

Parameter estimation for energy balance models with memory By Lionel Roques1,*, Micka¨el D parameter estimation for one-dimensional energy balance models with mem- ory (EBMMs) given localized estimate is still possible in certain cases. Keywords: age dating; Bayesian inference; energy balance model

19

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.

20

Savings Estimates for the ENERGY STAR Voluntary Labeling Program  

E-Print Network [OSTI]

. This paper presents past and predicted savings for the ENERGY STAR ® labeling program, operated jointly 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

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


21

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

22

State energy data report: Consumption estimates, 1960--1987  

SciTech Connect (OSTI)

The State Energy Data Report presents estimates of annual energy consumption at the state and national levels by major economic sector and by principal energy type for 1960 through 1987. Included in the report are documentation describing how the estimates were made for each energy source, sources of all input data, and a summary of changes from the State Energy Data Report published in April 1988.

Not Available

1989-04-20T23:59:59.000Z

23

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

Demand 20142024 Revised Forecast SEPTEMBER 2013 CEC2002013005SD CALIFORNIA ENERGY COMMISSION Edmund are already incorporated in the Energy Commission's current forecast, the California Energy Demand 20142024 and forecast stakeholders through the Demand Analysis Working Group (DAWG). These scenarios varied

24

STATEWIDE ENERGY EFFICIENCY POTENTIAL ESTIMATES AND TARGETS  

E-Print Network [OSTI]

rates of forecasted natural gas consumption, electricity consumption and peak electricity demand potential for electric consumption savings, 85 percent of the economic potential for peak demand savings Energy efficiency, energy savings, demand reduction, electricity consumption, natural gas consumption

25

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD JumpEstimatedTime

26

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

E-Print Network [OSTI]

Smart Sensing, Estimation, and Prediction for Efficient Building Energy Management Sunil Mamidi energy management software can greatly decrease the energy usage of HVAC systems in many building to improve efficiency. In most buildings, the most advanced examples of this type of system are the motion

Chang, Yu-Han

27

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

28

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

29

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (bot load)International AssociationServicesforInterproject

30

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo FengBoulder, CO)Burundi: EnergyCECG Maine,CHP Emissions

31

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network [OSTI]

home building structures and choosing a space heating and conditioning system. Based on a discreteEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

32

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department of EnergyEqual

33

Energy Savings Estimates of Light Emitting Diodes | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -Department oftoThese Web sitesEERECommercial2010EnergyThis report

34

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

35

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

36

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

37

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

38

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.

39

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

40

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@illinois.edu Abstract-- Markov reliability models to estimate Photovoltaic (PV) inverter reliability of the inverters. Keywords-Photovoltaic energy conversion, Markov reliability models, utility-interactive inverters

Liberzon, Daniel

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


41

An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs  

E-Print Network [OSTI]

An Estimation and Simulation Framework for Energy Efficient Design using Platform FPGAs Sumit modeling technique, domain specific modeling, and a methodology for energy-efficient design of application

Prasanna, Viktor K.

42

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

43

LOCAL ENERGY ESTIMATES FOR THE FINITE ELEMENT METHOD ON SHARPLY VARYING GRIDS  

E-Print Network [OSTI]

. We present local a priori energy estimates that are valid on shape regular grids, an assumption which subdomains under the assumption that the finite element grid is quasi-uniform. Such local energy estimates element theory. Here we prove local energy error estimates under the assumption that the fi- nite element

Demlow, Alan

44

LOCAL ENERGY ESTIMATES FOR THE FINITE ELEMENT METHOD ON SHARPLY VARYING GRIDS  

E-Print Network [OSTI]

. We present local a priori energy estimates that are valid on shape regular grids, an assumption which subdomains under the assumption that the finite element grid is quasi-uniform. Such local energy estimates. Here we prove local energy error estimates under the assumption that the fi- nite element triangulation

Guzmán, Johnny

45

Technique for estimating jet fuel prices from energy futures market  

SciTech Connect (OSTI)

This report presents a statistical analysis of future prices of petroleum products for use in predicting the monthly average retail price of kerosene-type jet fuel. The method of least squares was employed to examine the relationship between kerosene-type jet fuel retail prices and energy futures prices. Regression equations were constructed for four of the petroleum commodities traded on the energy futures market: heating oil No. 2, leaded regular gasoline, crude oil, and unleaded gasoline. Thirty-nine regression equations were estimated by the method of least squares to relate the cash price of kerosene-type jet fuel to the futures prices of the above four petroleum commodities for contract periods of 1 to 12 months. The analysis revealed that 19 of the 39 first-order linear regression equations provided a good fit to the data. Specifically, heating oil No. 2 performed better than the order energy futures in predicting the price of kerosene-type jet fuel. The only information required to use these regression equations are energy futures prices which are available daily from the Wall Street Journal. 5 refs., 4 tabs.

Vineyard, T.A.

1988-05-01T23:59:59.000Z

46

DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FY Middle SchoolARM-TR-01468This4 Mar 2015

47

DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FY Middle SchoolARM-TR-01468This4 Mar 20155 Mar

48

DISCLAIMER : UNCONTROLLED WHEN PRINTED - PLEASE CHECK THE STATUS OF THE DOCUMENT IN IDM  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FY Middle SchoolARM-TR-01468This4 Mar 20155 Mar3

49

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

E-Print Network [OSTI]

ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B is outlined, involving a balance of dissipated and supplied energies over a cycle of pe- riodic vibration a damping estimation method based on the balance of energy. The idea is to compute the energy input per

Feeny, Brian

50

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

51

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

52

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

E-Print Network [OSTI]

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

Xing, Eric P.

53

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

E-Print Network [OSTI]

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

Langmead, Christopher James

54

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

55

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

56

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

57

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

Office of Environmental Management (EM)

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

58

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

California Energy Commission definition of “heat storm”: “storm“ than the Energy Commission definition quoted above toCalifornia Energy Commission. 2008. Definition of Heat

Sathaye, Jayant

2011-01-01T23:59:59.000Z

59

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

Open Energy Info (EERE)

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:...

60

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

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


61

A 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

62

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

63

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...

64

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

65

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

66

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

67

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

68

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 ocean energy content" are compared with the directly observed ocean energy content (OE) and tendency

Fasullo, John

69

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

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

70

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

71

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network [OSTI]

SIMON FRASER UNIVERSITY Fall, 2007 All rights reserved. This work may not be reproduced in whole, and editing · Vicky Weekes for editing, balance, and all around back-up · Many other REMmers and EMRGers Council, the Canadian Institute of Energy, the Energy and Materials Research Group, and Simon Fraser

72

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

73

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

74

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

E-Print Network [OSTI]

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

Sun, Sean

75

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

E-Print Network [OSTI]

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

Langmead, Christopher James

76

Improved estimates of the total correlation energy in the ground state of the water molecule  

E-Print Network [OSTI]

Improved estimates of the total correlation energy in the ground state of the water molecule Arne National Laboratory, Richland, Washington 99352 Received 1 October 1996; accepted 5 February 1997 Two new calculations of the electronic energy of the ground state of the water molecule yield energies lower than those

Anderson, James B.

77

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

E-Print Network [OSTI]

on the assumption that the overall solvation free energy is the sum of all atomic solvation contributions: Gs iAi (1Estimating Protein­Ligand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and Solvation Free Energy Calculation Jianfeng Pei,1,2 Qi Wang,1,2 Jiaju Zhou,3 and Luhua Lai1

Luhua, Lai

78

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

79

Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids  

E-Print Network [OSTI]

Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

80

QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED  

E-Print Network [OSTI]

QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED J.-M. BARBAROUX for the hydrogen ground state energy in the Pauli-Fierz model up to the order O(5 log -1), where denotes). As a consequence, we prove that the ground state energy is not a real analytic function of , and verify

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


81

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

82

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

83

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

84

Property:EstimatedCostLowUSD | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD Jump to:

85

Property:EstimatedCostMedianUSD | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD Jump

86

Property:EstimatedTimeExplained | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSD

87

Property:EstimatedTimeHigh | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search PropertyEstimatedCostLowUSDEstimatedTimeHigh

88

Property:EstimatedTimeMedian | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, searchEstimatedTimeMedian Jump to: navigation, search

89

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.

Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

90

WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING  

E-Print Network [OSTI]

WATER AND ENERGY BALANCE ESTIMATION IN PUERTO RICO USING SATELLITE REMOTE SENSING Eric. W Management of water resources relies on estimates of the hydrologic water balance within defined and/or similar land use. Components of the water balance include precipitation, actual

Gilbes, Fernando

91

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

92

Estimating the energy of stitching together the Maxwell and Fermi neutron spectra  

SciTech Connect (OSTI)

The energy of stitching together the Maxwell and Fermi spectra is estimated on the basis of experimental data and the results of calculations carried out using the MCU-RFFI and MCU-5 codes.

Ionov, V. S., E-mail: ivs2010@vver.kiae.ru; Marin, S. V. [National Research Center Kurchatov Institute (Russian Federation)

2014-12-15T23:59:59.000Z

93

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to Sustained Energy

94

Estimating the Benefits and Costs of Distributed Energy Technologies  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power SystemsResources DOEElectricalonJustice EnvironmentalDISTRIBUTIO FROM: DAE Y. CHUNGWorkshop

95

State Energy Profiles and Estimates (SEDS) Report Archives  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease ScheduleU.S. Energy Information

96

ESTIMATING ENERGY SAVINGS IN COMPRESSED AIR SYSTEMS Chris Schmidt  

E-Print Network [OSTI]

obtainable performance data such as full-load power, no-load power, rated capacity, average fraction full-load performance and calculating projected energy savings using four of the five following performance metrics: full-load power (FLP), no-load power (NLP), rated capacity (FLC), fraction full-load power (FP

Kissock, Kelly

97

Estimation of Several Political Action Effects of Energy Prices  

E-Print Network [OSTI]

One important effect of price shocks in the United States has been increased political attention paid to the structure and performance of oil and natural gas markets, along with some governmental support for energy conservation. This paper describes how price changes helped lead the emergence of a political agenda accompanied by several interventions, as revealed through Granger causality tests on change in the legislative agenda.

Whitford, Andrew B

2015-01-01T23:59:59.000Z

98

Module: Estimating Historical Emissions from Deforestation | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun Jump to:

99

GAO Cost Estimating and Assessment Guide | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S.FinancialofFuel CycleDepartmentG. BrianCost

100

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to Sustained

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


101

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to SustainedFinancing

102

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways to

103

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2 Project

104

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2 Project3:

105

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment ofTheDepartment of2012Pathways toDay 2

106

Table C3. Primary Energy Consumption Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.

107

Table E10. Residential Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.

108

Table E11. Commercial Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.

109

Table E13. Transportation Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.3.

110

Table E14. Electric Power Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary

111

Table E3. Residential Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.

112

Table E4. Commercial Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.

113

Table E5. Industrial Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.

114

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.

115

Table E7. Electric Power Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.E7.

116

U.S. Uranium Reserves Estimates - Energy Information Administration  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear Jan Feb2009 2010 2011DecadeLower 48all

117

Battery Life Estimation (BLE) and Data Analysis - Energy Innovation Portal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High the cover:Battery Boost ORNL

118

Estimating Motor Efficiency in the Field | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt | Department

119

Estimating the Benefits and Costs of Distributed Energy Technologies  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt |

120

Estimating the Benefits and Costs of Distributed Energy Technologies  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals DuringSalt |Workshop - Day

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


121

Estimated Rare Earth Reserves and Deposits | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review:Department of Energy Environmental RestorationErik Hyrkas AboutOfficer

122

State Energy Data System Consumption Estimates Technical Notes  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael Schaal Director, Oil and10: "TheElectricity

123

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data0 0 0 00/03)%Year

124

EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87CBECS Public Use Data03. U.S. uraniumForms

125

Estimates of State Energy-Related Carbon Dioxide Emissions  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96Nebraska NuclearDecade2003 DetailedUse inRevenueMay

126

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

127

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.

128

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

SciTech Connect (OSTI)

This report outlines the results of a study of the impact of climate change on the energy infrastructure of California and the San Francisco Bay region, including impacts on power plant generation; transmission line and substation capacity during heat spells; wildfires near transmission lines; sea level encroachment upon power plants, substations, and natural gas facilities; and peak electrical demand. Some end-of-century impacts were projected:Expected warming will decrease gas-fired generator efficiency. The maximum statewide coincident loss is projected at 10.3 gigawatts (with current power plant infrastructure and population), an increase of 6.2 percent over current temperature-induced losses. By the end of the century, electricity demand for almost all summer days is expected to exceed the current ninetieth percentile per-capita peak load. As much as 21 percent growth is expected in ninetieth percentile peak demand (per-capita, exclusive of population growth). When generator losses are included in the demand, the ninetieth percentile peaks may increase up to 25 percent. As the climate warms, California's peak supply capacity will need to grow faster than the population.Substation capacity is projected to decrease an average of 2.7 percent. A 5C (9F) air temperature increase (the average increase predicted for hot days in August) will diminish the capacity of a fully-loaded transmission line by an average of 7.5 percent.The potential exposure of transmission lines to wildfire is expected to increase with time. We have identified some lines whose probability of exposure to fire are expected to increase by as much as 40 percent. Up to 25 coastal power plants and 86 substations are at risk of flooding (or partial flooding) due to sea level rise.

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

2011-06-22T23:59:59.000Z

129

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

130

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

131

2007 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 2006, whatwe expect in 2007, and provide savings forecasts for two marketpenetration scenarios for the periods 2007 to 2015 and 2007 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

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

2007-03-23T23:59:59.000Z

132

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

133

2006 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling 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 2005, whatwe expect in 2006, and provide savings forecasts for two marketpenetration scenarios for the periods 2006 to 2015 and 2006 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

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

2006-03-07T23:59:59.000Z

134

2005 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling 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 thanforty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2004, whatwe expect in 2005, and provide savings forecasts for two marketpenetration scenarios for the periods 2005 to 2010 and 2005 to 2020. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

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

2006-03-07T23:59:59.000Z

135

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

136

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

137

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

E-Print Network [OSTI]

High precision estimation of the equation of state of dark energy depends on constraints external to analyses of Cosmic Microwave Background fluctuations. A geometric estimation of the local expansion rate, H_o, would provide the most direct and robust constraint. Traditional techniques to estimate H_o have depended on observations of standard candles for which systematic effects can be 10% or more. Observations of water maser sources in the accretion disks that feed the central engines of active galaxies enable simplified, robust, and largely geometric analyses. Many thousand maser sources will be discovered in studies with the SKA, owing to its great sensitivity. Spectroscopic monitoring and interferometric mapping - with intercontinental baselines - will allow estimation of H_o to 1% and possibly better.

L. J. Greenhill

2004-09-10T23:59:59.000Z

138

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

E-Print Network [OSTI]

High precision estimation of the equation of state of dark energy depends on constraints external to analyses of Cosmic Microwave Background fluctuations. A geometric estimation of the local expansion rate, H_o, would provide the most direct and robust constraint. Traditional techniques to estimate H_o have depended on observations of standard candles for which systematic effects can be 10% or more. Observations of water maser sources in the accretion disks that feed the central engines of active galaxies enable simplified, robust, and largely geometric analyses. Many thousand maser sources will be discovered in studies with the SKA, owing to its great sensitivity. Spectroscopic monitoring and interferometric mapping - with intercontinental baselines - will allow estimation of H_o to 1% and possibly better.

Greenhill, L J

2004-01-01T23:59:59.000Z

139

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

140

Semiclassical Estimates of Electromagnetic Casimir Self-Energies of Spherical and Cylindrical Metallic Shells  

E-Print Network [OSTI]

The leading semiclassical estimates of the electromagnetic Casimir stresses on a spherical and a cylindrical metallic shell are within 1% of the field theoretical values. The electromagnetic Casimir energy for both geometries is given by two decoupled massless scalars that satisfy conformally covariant boundary conditions. Surface contributions vanish for smooth metallic boundaries and the finite electromagnetic Casimir energy in leading semiclassical approximation is due to quadratic fluctuations about periodic rays in the interior of the cavity only. Semiclassically the non-vanishing Casimir energy of a metallic cylindrical shell is almost entirely due to Fresnel diffraction.

Martin Schaden

2010-06-16T23:59:59.000Z

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


141

Energy Aware Node Selection for Cluster-based Data Accuracy Estimation in Wireless Sensor Networks  

E-Print Network [OSTI]

The main objective of this paper is to reduce the number of sensor nodes by estimating a trade off between data accuracy and energy consumption for selecting nodes in probabilistic approach in distributed networks. Design Procedure/Approach: Observed data are highly correlated among sensor nodes in the spatial domain due to deployment of high density of sensor nodes. These sensor nodes form non-overlapping distributed clusters due to high data correlation among them. We develop a probabilistic model for each distributed cluster to perform data accuracy and energy consumption model in the network. Finally we find a trade off between data accuracy and energy consumption model to select an optimal number of sensor nodes in each distributed cluster. We also compare the performance for our data accuracy estimation model with information accuracy model for each distributed cluster in the network. Practical Implementation: Measuring temperature in physical environment and measuring moisture content in agricultural f...

Karjee, Jyotirmoy

2011-01-01T23:59:59.000Z

142

Analysis of shower size as estimator of extensive air shower energy  

E-Print Network [OSTI]

The fluorescence technique has been successfully used to detect ultrahigh energy cosmic rays by indirect measurements. The underlying idea is that the number of charged particles in the atmospheric shower, i.e, its longitudinal profile, can be extracted from the amount of emitted nitrogen fluorescence light. However the influence of shower fluctuations and the very possible presence of different nuclear species in the primary cosmic ray spectrum make the estimate of the shower energy from the fluorescence data analysis a difficult task. We investigate the potential of shower size at maximum depth as estimator of shower energy. The detection of the fluorescence light is simulated in detail and the reconstruction biases are carefully analyzed. We extend our calculations to both Auger and EUSO experiments. This kind of approach is of particular interest for showers that are not fully contained inside the field of view of the detector.

Vitor de Souza; Jeferson A. Ortiz; Gustavo Medina-Tanco; Federico Sanchez

2005-09-16T23:59:59.000Z

143

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

SciTech Connect (OSTI)

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

Mathew, Paul

2008-10-01T23:59:59.000Z

144

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

E-Print Network [OSTI]

Water Heaters ..Table 7: Annual energy and cost savings of water heaters (Boilers Commercial Water Heater See Appendix F for

Taylor, Margaret

2014-01-01T23:59:59.000Z

145

Estimation of Saturation of Permanent-Magnet Synchronous Motors Through an Energy-Based Model  

E-Print Network [OSTI]

We propose a parametric model of the saturated Permanent-Magnet Synchronous Motor (PMSM) together with an estimation method of the magnetic parameters. The model is based on an energy function which simply encompasses the saturation effects. Injection of fast-varying pulsating voltages and measurements of the resulting current ripples then permit to identify the magnetic parameters by linear least squares. Experimental results on a surface-mounted PMSM and an interoir magnet PMSM illustrate the relevance of the approach.

Jebai, AlKassem; Martin, Philippe; Rouchon, Pierre

2011-01-01T23:59:59.000Z

146

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

SciTech Connect (OSTI)

Geopressured geothermal reservoirs are characterized by high temperatures and high pressures with correspondingly large quantities of dissolved methane. Due to these characteristics, the reservoirs provide two sources of energy: chemical energy from the recovered methane, and thermal energy from the recovered fluid at temperatures high enough to operate a binary power plant for electricity production. Formations with the greatest potential for recoverable energy are located in the gulf coastal region of Texas and Louisiana where significantly overpressured and hot formations are abundant. This study estimates the total recoverable onshore geopressured geothermal resource for identified sites in Texas and Louisiana. In this study a geopressured geothermal resource is defined as a brine reservoir with fluid temperature greater than 212 degrees F and a pressure gradient greater than 0.7 psi/ft.

Esposito, A.; Augustine, C.

2012-04-01T23:59:59.000Z

147

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

SciTech Connect (OSTI)

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

Love, Lonnie J [ORNL

2012-12-01T23:59:59.000Z

148

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

SciTech Connect (OSTI)

This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

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

2010-01-15T23:59:59.000Z

149

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

SciTech Connect (OSTI)

This report articulates nine mechanisms by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery. The quantitative estimates of potential reductions in electricity sector energy and associated CO2 emissions presented are based on a survey of published results and simple analyses. This report does not attempt to justify the cost effectiveness of the smart grid, which to date has been based primarily upon the twin pillars of cost-effective operation and improved reliability. Rather, it attempts to quantify the additional energy and CO2 emission benefits inherent in the smart grid’s potential contribution to the nation’s goal of mitigating climate change by reducing the carbon footprint of the electric power system.

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

2010-01-27T23:59:59.000Z

150

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

SciTech Connect (OSTI)

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

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

1990-01-01T23:59:59.000Z

151

Table E8. Primary Energy, Electricity, and Total Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table

152

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

Office of Scientific and Technical Information (OSTI)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite--FOR IMMEDIATE RELEASEEmissions ofESTIMATE OF

153

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.

154

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

155

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

156

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor U.S.6:6.

157

Table C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor

158

Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:

159

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

160

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC'sFigure ES1.

Note: This page contains sample records for the topic "idm estimates energy" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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161

Estimation of 6 groups of effective delayed neutron fraction based on continuous energy Monte Carlo method  

SciTech Connect (OSTI)

New method is proposed to estimate effective fraction of delayed neutrons radiated from precursors categorized into 6 groups of decay constant. Instead of adjoint flux {Phi}*, an expected number of fission neutrons in next generations, M, is applied as a weight function [1]. Introduction of M enables us to calculate the fraction based on continuous energy Monte Carlo method. For the calculation of the fraction, an algorithm is established and implemented into the MCNP-5 code. The method is verified using reactor period data obtained in reactivity measurements. (authors)

Nauchi, Y.; Kameyama, T. [Central Research Inst., Electric Power Industry, 2-11-1 Iwado-Kita, Komae-shi, Tokyo 201-8511 (Japan)

2006-07-01T23:59:59.000Z

162

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

SciTech Connect (OSTI)

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

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

2006-11-01T23:59:59.000Z

163

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

SciTech Connect (OSTI)

This paper evaluates the indirect energy-use emission implications of increases in the use of biofuels in the USA between 2001 and 2010 as mandates within a dynamic global computable general equilibrium model. The study incorporates explicit markets for biofuels, petroleum and other fossil fuels, and accounts for interactions among all sectors of an 18-region global economy. It considers bilateral trade, as well as the dynamics of capital allocation and investment. Simulation results show that the biofuel mandates in the USA generate an overall reduction in global energy use and emissions over the simulation period from 2001 to 2030. Consequently, the indirect energy-use emission change or emission leakage under the mandate is negative. That is, global emission reductions are larger than the direct emission savings from replacing petroleum with biofuels under the USA RFS2 over the last decade. Under our principal scenario this enhanced the direct emission reduction from biofuels by about 66%. The global change in lifecycle energy-use emissions for this scenario was estimated to be about 93 million tons of CO2e in 2010, 45 million tons of CO2e in 2020, and an increase of 5 million tons of CO2e in 2030, relative to the baseline scenario. Sensitivity results of six alternative scenarios provided additional insights into the pattern of the regional and global effects of biofuel mandates on energy-use emissions.

Oladosu, Gbadebo A [ORNL

2012-01-01T23:59:59.000Z

164

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

2012-04-13T23:59:59.000Z

165

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

166

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

E-Print Network [OSTI]

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

Collins, Gary S.

167

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

E-Print Network [OSTI]

of Energy, 2000. Annual Energy Outlook 2001 with Projectionsof Energy, 1999. Annual Energy Outlook 2000 with ProjectionsEnergy, 1996a. Annual Energy Outlook 1996 with Projections

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

2004-01-01T23:59:59.000Z

168

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

169

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

E-Print Network [OSTI]

The annual energy cost savings were estimated with $0.11/kWh for electricity and $0.84/therm (Climate Zone 2) and $0.64/therm (Climate Zone 3 and 4) for natural gas. 2009 IECC Cost Savings Report, p.ii January 2011 Energy Systems Laboratory, Texas A...). 3.2 Annual Total Energy Cost Similar trends were observed in the annual energy costs estimated with $0.11/kWh for electricity and $0.84/therm (Climate Zone 2) and $0.64/therm (Climate Zone 3 and 4) for natural gas. Across the counties, the 2001...

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

170

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

SciTech Connect (OSTI)

Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

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

2012-09-01T23:59:59.000Z

171

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

SciTech Connect (OSTI)

This study estimates the magnitude of geothermal energy from fifteen major known US sedimentary basins and ranks these basins relative to their potential. Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties are known. This reduces exploration risk and allows development of geologic exploration models for each basin as well as a relative assessment of geologic risk elements for each play. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by Muffler (USGS). Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient Information were gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data was insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission websites. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size and temperature distribution, and to qualitatively assess reservoir productivity.

Porro, C.; Augustine, C.

2012-04-01T23:59:59.000Z

172

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

E-Print Network [OSTI]

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

Konopacki, S.J.

2010-01-01T23:59:59.000Z

173

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

E-Print Network [OSTI]

using Advanced Very High Res- olution Radiometer Lai data, Climate Research Unit climate dataGlobal estimation of evapotranspiration using a leaf area index-based surface energy and water-relative-humidity-based two-source (ARTS) E model that simulates the surface energy balance, soil water balance

Martin, Timothy

174

Estimation of Absolute Free Energies of Hydration using Continuum Methods: Accuracy of Partial Charge Models and Optimization of Nonpolar Contributions  

E-Print Network [OSTI]

Estimation of Absolute Free Energies of Hydration using Continuum Methods: Accuracy of Partial, and Irwin D. Kuntz Supporting Information Table S1. Experimental Free Energies of Hydration (Ghyd) in kcal,2-dimethylcyclohexane 1.58 36 trans-1,4-dimethylcyclohexane 2.11 37 ethene 1.28 38 propene 1.32 39 but-1-ene 1.38 40

Rizzo, Robert C.

175

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

SciTech Connect (OSTI)

Summaries of transportation investment requirements through 1990 are given for the low, medium and high scenarios. Total investment requirements for the three modes and the three energy commodities can accumulate to a $46.3 to $47.0 billion range depending on the scenario. The high price of oil, following the evidence of the last year, is projected to hold demand for oil below the recent past. Despite the overall decrease in traffic some investment in crude oil and LPG pipelines is necessary to reach new sources of supply. Although natural gas production and consumption is projected to decline through 1990, new investments in carrying capacity also are required due to locational shifts in supply. The Alaska Natural Gas Transportation System is the dominant investment for energy transportation in the next ten years. This year's report focuses attention on waterborne coal transportation to the northeast states in keeping with a return to significant coal consumption projected for this area. A resumption of such shipments will require a completely new fleet. The investment estimates given in this report identify capital required to transport projected energy supplies to market. The requirement is strategic in the sense that other reasonable alternatives do not exist or that a shared load of new growth can be expected. Not analyzed or forecasted are investments in transportation facilities made in response to local conditions. The total investment figures, therefore, represent a minimum necessary capital improvement to respond to changes in interregional supply conditions.

Not Available

1980-08-29T23:59:59.000Z

176

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

SciTech Connect (OSTI)

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

Konopacki, S.J.; Akbari, H.

1996-08-01T23:59:59.000Z

177

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

E-Print Network [OSTI]

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

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

2002-01-01T23:59:59.000Z

178

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

179

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

E-Print Network [OSTI]

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

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

2004-01-01T23:59:59.000Z

180

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

E-Print Network [OSTI]

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

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

2003-01-01T23:59:59.000Z

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


181

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

182

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

E-Print Network [OSTI]

of Energy, 1999. Annual Energy Outlook 2000 with ProjectionsEnergy, 1996a. Annual Energy Outlook 1996 with ProjectionsEnergy, 1996b. Annual Energy Outlook 1997 with Projections

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

2002-01-01T23:59:59.000Z

183

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

SciTech Connect (OSTI)

This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

Glatzmaier, G.

2011-12-01T23:59:59.000Z

184

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

185

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

186

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

SciTech Connect (OSTI)

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

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

2012-09-28T23:59:59.000Z

187

A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits  

SciTech Connect (OSTI)

Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector's energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level. The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

Logue, J. M.; Turner, W. J.N.; Walker, I. S.; Singer, B. C.

2015-01-01T23:59:59.000Z

188

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

E-Print Network [OSTI]

Primary Electricity Coal Final energy use in buildings is9 million tonnes of coal equivalent energy could be saved byproportion of energy consumed from coal, coke, liquid fuels,

Fridley, David G.

2008-01-01T23:59:59.000Z

189

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

E-Print Network [OSTI]

0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US0383(97). Energy Information Administration. December. US

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

2007-01-01T23:59:59.000Z

190

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

E-Print Network [OSTI]

EIA-0383(2005). Energy Information Administration. http://0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US

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

2006-01-01T23:59:59.000Z

191

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

E-Print Network [OSTI]

0035(95/05). Energy Information Administration. May. US DOE,EIA-0383(96). Energy Information Administration. January. US0383(97). Energy Information Administration. December. US

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

2006-01-01T23:59:59.000Z

192

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

E-Print Network [OSTI]

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

Van Buskirk, Robert

2014-01-01T23:59:59.000Z

193

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

E-Print Network [OSTI]

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

Van Buskirk, Robert

2014-01-01T23:59:59.000Z

194

Age Estimations of M31 Globular Clusters from Their Spectral Energy Distributions  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

195

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

E-Print Network [OSTI]

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

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

2003-01-01T23:59:59.000Z

196

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

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

197

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

198

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

199

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

200

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

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


201

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

SciTech Connect (OSTI)

ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

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

2008-06-03T23:59:59.000Z

202

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

E-Print Network [OSTI]

flare/CME events, using as much reliable data as was available, not only on radiative output, but also estimates - a follow-up to "Energy Partition in Two Solar Flare/CME Events" A. G. Emslie, 1 B. R. Dennis 2 in the different flare and CME components of two major solar events with unprecedented observational coverage, one

California at Berkeley, University of

203

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

E-Print Network [OSTI]

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

Mathew, Paul

2010-01-01T23:59:59.000Z

204

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

205

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

E-Print Network [OSTI]

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

Konopacki, S.J.

2010-01-01T23:59:59.000Z

206

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

E-Print Network [OSTI]

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

Fridley, David G.

2008-01-01T23:59:59.000Z

207

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

E-Print Network [OSTI]

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

Atwater, Harry

208

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

209

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

210

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

SciTech Connect (OSTI)

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

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

2005-11-01T23:59:59.000Z

211

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

E-Print Network [OSTI]

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

212

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

SciTech Connect (OSTI)

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

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

2014-07-01T23:59:59.000Z

213

Precise estimation of shell model energy by second order extrapolation method  

E-Print Network [OSTI]

A second order extrapolation method is presented for shell model calculations, where shell model energies of truncated spaces are well described as a function of energy variance by quadratic curves and exact shell model energies can be obtained by the extrapolation. This new extrapolation can give more precise energy than those of first order extrapolation method. It is also clarified that first order extrapolation gives a lower limit of shell model energy. In addition to the energy, we derive the second order extrapolation formula for expectation values of other observables.

Takahiro Mizusaki; Masatoshi Imada

2003-02-20T23:59:59.000Z

214

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

E-Print Network [OSTI]

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

Kammen, Daniel M.

215

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

SciTech Connect (OSTI)

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

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

2012-03-01T23:59:59.000Z

216

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

217

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

E-Print Network [OSTI]

-intervention data to be able to assess the impact of an intervention. Strategic energy management programs such as CEI, help companies develop the data management practices necessary to manage energy as a controllable expense. While this paper presented...

Luneski, R. D.

2011-01-01T23:59:59.000Z

218

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

E-Print Network [OSTI]

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

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

219

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

E-Print Network [OSTI]

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

A. A. Ivanov

2007-04-26T23:59:59.000Z

220

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

SciTech Connect (OSTI)

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

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

2011-01-01T23:59:59.000Z

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


221

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

E-Print Network [OSTI]

of 2) spring-neap variation in dissipation was observed. The observations also suggest a kinematic-integrated dissipation (D), such that D E1±0.5 at sites along the ridge. This kinematic relationship is supported by combining a simple knife-edge model to estimate internal tide generation with wave-wave interaction time

Klymak, Jody M.

222

Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition  

E-Print Network [OSTI]

.V. All rights reserved. Keywords: Robust speech recognition; MMSE estimation; Speech enhancement methods fall under two categories: front-end speech/feature enhancement and back-end model adaptation. Back are interested in methods that perform enhancement on the speech signal. Several methods falling

223

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

224

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

E-Print Network [OSTI]

2011 # Springer Science+Business Media B.V. 2011 Abstract In energy-economy modeling, new hybrid models of the most energy-efficient or lowest emission technologies. Optimization models with technological detail disaggregated models. Where they cover all M. Jaccard (*) School of Resource and Environmental Management, Simon

225

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

E-Print Network [OSTI]

LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating. Turner, Iain S. Walker, and Brett C. Singer Environmental Energy Technologies Division June 2012 LBNL-5796E #12;LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model

226

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

SciTech Connect (OSTI)

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

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

2014-04-07T23:59:59.000Z

227

Quantitative estimates on the Hydrogen ground state energy in non-relativistic QED  

E-Print Network [OSTI]

In this paper, we determine the exact expression for the hydrogen binding energy in the Pauli-Fierz model up to the order $O(\\alpha^5\\log\\alpha^{-1})$, where $\\alpha$ denotes the finestructure constant, and prove rigorous bounds on the remainder term of the order $o(\\alpha^5\\log\\alpha^{-1})$. As a consequence, we prove that the binding energy is not a real analytic function of $\\alpha$, and verify the existence of logarithmic corrections to the expansion of the ground state energy in powers of $\\alpha$, as conjectured in the recent literature.

Jean-Marie Barbaroux; Thomas Chen; Semjon Vugalter; Vitali Vougalter

2010-06-04T23:59:59.000Z

228

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

E-Print Network [OSTI]

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

Verdict, M.

1986-01-01T23:59:59.000Z

229

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

E-Print Network [OSTI]

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

Farhadi, Leila

2012-01-01T23:59:59.000Z

230

Energy pathways and structures of oceanic eddies from the ECCO2 State Estimate and Simplified Models  

E-Print Network [OSTI]

Studying oceanic eddies is important for understanding and predicting ocean circulation and climate variability. The central focus of this dissertation is the energy exchange between eddies and mean ow and banded structures ...

Chen, Ru, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

231

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

E-Print Network [OSTI]

Case 25 Figure 9 CO2 Emissions from Commercial Buildings (27 Figure 12 CO2 Emissions by Sector (Primary Energy,16 Office Building CO2 Emissions (Reference Case, Primary

Fridley, David G.

2008-01-01T23:59:59.000Z

232

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

E-Print Network [OSTI]

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

Hinchey, Sharon Beth

1991-01-01T23:59:59.000Z

233

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2012, United States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy ExpenditureET1.

234

A Protocol for Estimating and Mapping Global EGS Potential | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 SouthWater Rights, Substantive(Sichuan, SwOpenInformation for Estimating

235

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

E-Print Network [OSTI]

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

Tomkins, Andrew

236

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

E-Print Network [OSTI]

Energy. 1996a. Annual energy outlook 1996 with projectionsEnergy. 1996b. Annual energy outlook 1997 with projectionsof Energy. 1997. Annual energy outlook 1998 with projections

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

237

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department of EnergyEqualHeaters |

238

Table E2. Total End-Use Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5. Energy6.E2.

239

Table E9. Total End-Use Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy Expenditure

240

DOE Challenge Home Savings and Cost Estimate Summary | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana. DOCUMENTSof Energy DOE Challenge Home Recommended Quality ManagementThe

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


241

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

E-Print Network [OSTI]

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

242

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

Office of Scientific and Technical Information (OSTI)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: CrystalFG36-08GO18149Speeding accessProposal Title: Community9747Recoverable

243

Energy Savings Estimates of Light Emitting Diodes in Niche Lighting Applications  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessinSupporting Jobs and Diversifying

244

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information

245

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information

246

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

247

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

SciTech Connect (OSTI)

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

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

2014-05-14T23:59:59.000Z

248

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

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTanklessDOJ TitleDr. Steven Chu About UsJob VacanciesAbout

249

How to Estimate the Economic Impacts from Renewable Energy | Department of  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietip sheetK-4In 2013Department ofThis brief details

250

Table C4. Total End-Use Energy Consumption Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.C4.

251

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and MaterialsWenjun DengWISPWind Industry Soars toWind Research

252

Property:Number of Plants included in Capacity Estimate | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2 JumpNbrInjWells Jump to: navigation,Sold Jump to:

253

Estimating effects of energy planning on environmental impacts in the Western United States  

SciTech Connect (OSTI)

As part of their long-term planning process, utilities and government agencies are choosing power generation and conservation strategies that will effect environmental interactions for decades to come. In the US, power marketing administrations within the US Department of Energy have a strong influence over the strategies to be implemented in large multi-state regions. Pacific Northwest Laboratories (PNL) prepared environmental impact statements (EIS) for two power marketing agencies, the Western Area Power Administration (Western) and Bonneville Power Administration (Bonneville). The Western EIS assessed the effects of integrated resource planing (IRP) on the public utilities Western serves, while the Bonneville EIS assessed the effects of acquiring new energy resources in the pacific Northwest. The results were found using models that simulated utility systems. In both cases, environmental impacts were reduced when the conservation strategy in question was considered. This paper describes the results of the environmental analyses for the two agencies and compares the results with those of another simplified approach that relies on attributing emissions of new resources based on an extrapolation of existing capacity.

Baechler, M.C.; Cothran, J.N.

1994-12-01T23:59:59.000Z

254

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

E-Print Network [OSTI]

net zero energy buildings Increased efficiency and more efficient operation of energy-consuming equipments Expanding

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

255

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

SciTech Connect (OSTI)

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

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

2011-09-10T23:59:59.000Z

256

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

E-Print Network [OSTI]

EIA-0314(93). Energy Information Administration, Office ofEIA-0383(96). Energy Information Administration. Washington,EIA-0383(97). Energy Information Administration. Washington,

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

257

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

E-Print Network [OSTI]

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

Messenger, Mike

2010-01-01T23:59:59.000Z

258

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

E-Print Network [OSTI]

Cool Earth - Innovative Energy Technology Plan," (14) Agencyof excellent energy technologies. Taking into account energyare based on the energy technology roadmap (References No.

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

259

State Energy Production Estimates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. RegionalAndyFutureSouth2:3:6

260

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

E-Print Network [OSTI]

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

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

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


261

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

262

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

263

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

264

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

E-Print Network [OSTI]

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

Berlin,Technische Universität

265

Estimating Methods  

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

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

1997-03-28T23:59:59.000Z

266

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

267

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

268

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

E-Print Network [OSTI]

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

Messenger, Mike

2010-01-01T23:59:59.000Z

269

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

270

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

SciTech Connect (OSTI)

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

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

2011-11-01T23:59:59.000Z

271

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

E-Print Network [OSTI]

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

Nimmo, Francis

272

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

E-Print Network [OSTI]

plants), nuclear energy's share of electricity generation inplants are constructed toward 2050, nuclear energy's share of total electricity generationelectricity generation will also fall on improvements in the efficiency of coal thermal power plants.

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

273

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

E-Print Network [OSTI]

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

Messenger, Mike

2010-01-01T23:59:59.000Z

274

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

SciTech Connect (OSTI)

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

Wang, M.Q.

1996-03-01T23:59:59.000Z

275

Arnold Schwarzenegger REFINING ESTIMATES OF WATER-  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor REFINING ESTIMATES OF WATER- RELATED ENERGY USE IN CALIFORNIA Energy Technologies · Transportation Refining Estimates of WaterRelated Energy Use in California is the final report for the Refining Estimates of EnergyRelated Energy Use in California project (contract

276

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

E-Print Network [OSTI]

increasing market penetration of ENERGY STAR HVAC and anyHVAC Office Equipment Program strategies can include continuing to ensure relevance for the consumer market

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

277

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

E-Print Network [OSTI]

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

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

278

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

E-Print Network [OSTI]

4052 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 57, NO. 10, OCTOBER 2009 Energy Planning in energy and spectrum than single-hop sensor networks where transmissions are conducted directly between each sensor and a fusion center. With the knowledge of a routing tree from all sensors to a destination

Hua, Yingbo

279

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

SciTech Connect (OSTI)

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

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

2009-09-01T23:59:59.000Z

280

Cooling load estimation methods  

SciTech Connect (OSTI)

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

McFarland, R.D.

1984-01-01T23:59:59.000Z

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


281

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

E-Print Network [OSTI]

For the purpose of developing optimized control algorithm for room air-conditioners to ensure their energy efficiency, a short time interval (i.e., one minute) simulation of building thermal performance is necessary because the sampling time...

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

2006-01-01T23:59:59.000Z

282

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

E-Print Network [OSTI]

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

Jean-Marie Barbaroux; Semjon Vugalter

2013-06-19T23:59:59.000Z

283

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

SciTech Connect (OSTI)

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

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

2013-06-15T23:59:59.000Z

284

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

E-Print Network [OSTI]

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

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

2010-12-06T23:59:59.000Z

285

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

E-Print Network [OSTI]

systems were analyzed for the BUS building. . . . . . . . . . 69 5. 7 Monthly average of energy use for the BUS building pre and post retrofit. . . . 69 5. 8 Monthly EDE for for the BUS building pre and post retrofit. . . . 71 5. 9 Monthly MEIc and MEIh... of energy use for the CSB pre and post continuous commissioning. . 74 5. 12 Monthly EDE for for the CSB building pre and post continuous commissioning. . 77 5. 13 Monthly MEIc and MEIh for the CSB pre and post continuous commissioning. . 77 LIST...

Deng, Song Jiu

1997-01-01T23:59:59.000Z

286

Cost Estimator  

Broader source: Energy.gov [DOE]

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

287

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

E-Print Network [OSTI]

This dissertation develops a "neighborhood" based neural network model utilizing wavelet analysis and Self-organizing Map (SOM) to predict building baseline energy use. Wavelet analysis was used for feature extraction of the daily weather profiles...

Lei, Yafeng

2010-01-14T23:59:59.000Z

288

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

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

289

Estimation of resources and reserves  

E-Print Network [OSTI]

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

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

290

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

E-Print Network [OSTI]

for estimating solar energy resource. In Proceedings of the ISRSE 33, held in Stresa, Italy, 4-9 May 2009. Published by Joint Research Center, Ispra, USBKey, paper 773. A new method for estimating solar energyTech, Center for Energy and Processes, BP 207, 06904 Sophia Antipolis, France 2 German Aerospace Center

Paris-Sud XI, Université de

291

Zero Energy Windows  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

292

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

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

293

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

E-Print Network [OSTI]

Estimates for India: Economic and Policy Implications AmolEstimates for India: Economic and Policy Implications Amolpolicies, and programs, wind energy can be a core component of India’

Phadke, Amol

2012-01-01T23:59:59.000Z

294

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

295

Flux recovery and a posteriori error estimators  

E-Print Network [OSTI]

bility and the local efficiency bounds for this estimator are established provided that the ... For simple model problems, the energy norm of the true error is equal.

2010-05-20T23:59:59.000Z

296

Guidance on Utility Rate Estimations and Weather Normalization...  

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

and Weather Normalization in an ESPC Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's)...

297

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

E-Print Network [OSTI]

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

Singer, Brett C.

2010-01-01T23:59:59.000Z

298

Energy Blog | Department of Energy  

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

energy efficiency is helping one healthcare organization improve facilities and reduce environmental impacts. September 4, 2012 The NYC Solar Map allows users to estimate the...

299

Chapter 23: Estimating Net Savings: Common Practices. The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures: September 2011 … December 2014  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energyon ArmedWaste andAccessCO2 Injection Begins8: Variable Frequency3: Estimating Net

300

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

E-Print Network [OSTI]

equal to 100,000 British thermal units (BTU).1 Therm is equal to 29.3 kWh Temperature rise through Heater The difference in the water temperature supplied to the water heater, and the water exiting the water heater. This is typically 70*F, which... assumes a water line temperature of 75*F and a water heater setting of 145*F Water Heater Efficiency The percentage of energy delivered to the water divided by the amount of energy consumed by the water heater viii TABLE OF CONTENTS...

Rebello, Harsh Varun

2011-08-08T23:59:59.000Z

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


301

Energy  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$ EGcG ENERGY MEASUREMENTS;/:4,4 (; . 1.;Suire

302

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

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

Not Available

1991-10-01T23:59:59.000Z

303

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

E-Print Network [OSTI]

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J sensing and actuation exists to monitor and control the internal state of these systems. As such, battery

Krstic, Miroslav

304

DTE Energy (Gas)- Commercial and Industrial Energy Efficiency Program  

Broader source: Energy.gov [DOE]

DTE Energy's Commercial Your Energy Savings Program provides prescriptive incentives, predominantly on a simple per unit basis. Custom incentives are based on the amount of estimated annual energy...

305

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

SciTech Connect (OSTI)

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

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

1993-12-01T23:59:59.000Z

306

Energy Efficiency Indicators Methodology Booklet  

E-Print Network [OSTI]

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

Sathaye, Jayant

2010-01-01T23:59:59.000Z

307

Characterizing emerging industrial technologies in energy models  

E-Print Network [OSTI]

EIA), 2001. “Annual Energy Outlook 2002,” Energy Informationas forecasted in the Annual Energy Outlook 2002, we estimateQuads based on the Annual Energy Outlook 2002 (AEO 2002) (

Laitner, John A. Skip; Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

2003-01-01T23:59:59.000Z

308

Cost Estimation Package  

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

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

1997-03-28T23:59:59.000Z

309

Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling timeEnergeticsEnergy

310

Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. TheEPSCI Home It is the|ResourcesCareersEmploymentEnergy

311

Recovery-based error estimators for interface problems: mixed and ...  

E-Print Network [OSTI]

AMS subject classifications. 65N30, 65N15. DOI. ... estimator is then free of overrefinements and satisfies the efficiency and reliability ...... [17] C. Lovadina and R. Stenberg, Energy norm a posteriori estimates for mixed finite element methods ...

2010-04-01T23:59:59.000Z

312

Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat  

E-Print Network [OSTI]

. Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

Boyer, Edmond

313

Check Estimates and Independent Costs  

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

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

1997-03-28T23:59:59.000Z

314

A priori estimates for relativistic liquid bodies  

E-Print Network [OSTI]

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

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

315

Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment > Voluntary826Industry forEmergingM

316

ENERGY  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program - LibbyofThisStatement ||More EmphasisofEMABTank WasteEnvironmental

317

Types of Cost Estimates  

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

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

1997-03-28T23:59:59.000Z

318

Systems Engineering Cost Estimation  

E-Print Network [OSTI]

on project, human capital impact. 7 How to estimate Cost? Difficult to know what we are building early on1 Systems Engineering Lecture 3 Cost Estimation Dr. Joanna Bryson Dr. Leon Watts University of Bath: Contrast approaches for estimating software project cost, and identify the main sources of cost

Bryson, Joanna J.

319

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network [OSTI]

Research Summary Estimating Woodfuel Resource Cost Curves As a renewable energy source, woodfuel and extraction methods. Background Just under half of the final energy consumed in the UK (49%) is in the form working slope for the chosen type of machinery) and soil conditions (risk of soil damage). Note

320

Methods for Rapid Estimation of Motor Input Power in HVAC Assessments  

E-Print Network [OSTI]

In preliminary building energy assessments, it is often desired to estimate a motor's input power. Motor power estimates in this context should be rapid, safe, and noninvasive. Existing methods for motor input power estimation, such as direct...

Christman, Kevin D.

2011-08-08T23:59:59.000Z

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


321

Open Energy Information Systems (OpenEIS) | Department of Energy  

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

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

322

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

and Low Power Mode Energy Consumption”, Energy Efficiency inTV Shipments on Energy Consumption.. 22 Figure 3-1.Estimates of Annual Energy Consumption in 3D mode of 3D TVs

Park, Won Young

2011-01-01T23:59:59.000Z

323

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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

Wall, L.W.

2009-01-01T23:59:59.000Z

324

Information Resources | Department of Energy  

Energy Savers [EERE]

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

325

EART 265 Lecture Notes: Energy Energy Usage  

E-Print Network [OSTI]

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

Nimmo, Francis

326

Estimating Specialty Costs  

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

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

1997-03-28T23:59:59.000Z

327

Supplemental report on cost estimates'  

SciTech Connect (OSTI)

The Office of Management and Budget (OMB) and the U.S. Army Corps of Engineers have completed an analysis of the Department of Energy's (DOE) Fiscal Year (FY) 1993 budget request for its Environmental Restoration and Waste Management (ERWM) program. The results were presented to an interagency review group (IAG) of senior-Administration officials for their consideration in the budget process. This analysis included evaluations of the underlying legal requirements and cost estimates on which the ERWM budget request was based. The major conclusions are contained in a separate report entitled, ''Interagency Review of the Department of Energy Environmental Restoration and Waste Management Program.'' This Corps supplemental report provides greater detail on the cost analysis.

NONE

1992-04-29T23:59:59.000Z

328

: Helmholtz machine estimation .  

E-Print Network [OSTI]

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

329

Operated device estimation framework  

E-Print Network [OSTI]

Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...

Rengarajan, Janarthanan

2009-05-15T23:59:59.000Z

330

Estimation of food consumption  

SciTech Connect (OSTI)

The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.

Callaway, J.M. Jr.

1992-04-01T23:59:59.000Z

331

Cost Estimating Guide  

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

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

2011-05-09T23:59:59.000Z

332

EXPLORATION Actual Estimate  

E-Print Network [OSTI]

FY 2015 FY 2016 FY 2017 FY 2013 President's Budget Request 3,821.2 3,712.8 3,932.8 4,076.5 4,076.5 4 Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY 2013EXPLORATION EXP-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014

333

Final Report Balancing energy conservation and occupant needs in ventilation rate standards for Big Box stores in California: predicted indoor air quality and energy consumption using a matrix of ventilation scenarios  

E-Print Network [OSTI]

irritant effects. For energy models, we estimated buildingreduced outdoor air VRs. The energy models estimate that, inof commercial building energy models. The study assessed the

Apte, Michael G.

2013-01-01T23:59:59.000Z

334

Distributed Robust Power System State Estimation  

E-Print Network [OSTI]

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

335

Buildings GHG Mitigation Estimator Worksheet, Version 1  

Broader source: Energy.gov [DOE]

Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.

336

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar PowerstoriesNrelPartnerType Jump to:CoStrategies (EC-LEDS) | OpentopicsRetrofit

337

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

E-Print Network [OSTI]

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

Xu, Tengfang

2011-01-01T23:59:59.000Z

338

MELE: Maximum Entropy Leuven Estimators  

E-Print Network [OSTI]

of the Generalized Maximum Entropy Estimator of the Generaland Douglas Miller, Maximum Entropy Econometrics, Wiley andCalifornia Davis MELE: Maximum Entropy Leuven Estimators by

Paris, Quirino

2001-01-01T23:59:59.000Z

339

Financial Impact of Energy Efficiency under a Federal Renewable Electricity Standard: Case Study of a Kansas "super-utility"  

E-Print Network [OSTI]

and benefits of alternative energy efficiency portfoliosrequirements, and alternative energy efficiency portfolios).estimates for two alternative energy efficiency portfolios (

Cappers, Peter

2010-01-01T23:59:59.000Z

340

External Dose Estimates from  

E-Print Network [OSTI]

; - calculated separately for the most important radionuclides produced in nuclear weapons tests. Those would averages for all tests. 2. Provide a list of references regarding: (1) the history of nuclear weapons to the Population of the Continental U.S. from Nevada Weapons Tests and Estimates of Deposition Density

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


341

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air and the Columbia River April 21,1994 TheTechnid Steering Panel of the Hanford - Environmental Dose Reconstruction than 40years, the U.S. Government made plutonium for nuclear weapons at the Hanford

342

Of fishes and birthdays: Efficient estimation of polymer configurational entropies  

E-Print Network [OSTI]

We present an algorithm to estimate the configurational entropy $S$ of a polymer. The algorithm uses the statistics of coincidences among random samples of configurations and is related to the catch-tag-release method for estimation of population sizes, and to the classic "birthday paradox". Bias in the entropy estimation is decreased by grouping configurations in nearly equiprobable partitions based on their energies, and estimating entropies separately within each partition. Whereas most entropy estimation algorithms require $N\\sim 2^{S}$ samples to achieve small bias, our approach typically needs only $N\\sim \\sqrt{2^{S}}$. Thus the algorithm can be applied to estimate protein free energies with increased accuracy and decreased computational cost.

Nemenman, Ilya; Strauss, Charlie E

2015-01-01T23:59:59.000Z

343

Manufacturing consumption of energy 1991  

SciTech Connect (OSTI)

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

Not Available

1994-12-01T23:59:59.000Z

344

Energy Rating  

E-Print Network [OSTI]

Consistent, accurate, and uniform ratings based on a single statewide rating scale Reasonable estimates of potential utility bill savings and reliable recommendations on cost-effective measures to improve energy efficiency Training and certification procedures for home raters and quality assurance procedures to promote accurate ratings and to protect consumers Labeling procedures that will meet the needs of home buyers, homeowners, renters, the real estate industry, and mortgage lenders with an interest in home energy ratings

Cabec Conference; Rashid Mir P. E

2009-01-01T23:59:59.000Z

345

Use of Cost Estimating Relationships  

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

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

1997-03-28T23:59:59.000Z

346

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

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

Park, Won Young

2011-01-01T23:59:59.000Z

347

An uncertainty principle, Wegner estimates and localization near fluctuation boundaries  

E-Print Network [OSTI]

We prove a simple uncertainty principle and show that it can be applied to prove Wegner estimates near fluctuation boundaries. This gives new classes of models for which localization at low energies can be proven.

Anne Boutet de Monvel; Daniel Lenz; Peter Stollmann

2009-05-18T23:59:59.000Z

348

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

E-Print Network [OSTI]

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

2015-01-12T23:59:59.000Z

349

System to estimate ages and redshifts for radio galaxies  

E-Print Network [OSTI]

The system allowing a user to operate with simulated curves of spectral energy distribution (SED) and to estimate ages and redshifts by photometric data at server {\\bf sed.sao.ru} is described.

O. V. Verkhodanov; A. I. Kopylov; N. V. Verkhodanova; O. P. Zhelenkova; V. N. Chernenkov; Yu. N. Parijskij; N. S. Soboleva; A. V. Temirova

2001-12-06T23:59:59.000Z

350

Los Alamos PC estimating system  

SciTech Connect (OSTI)

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

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

1987-01-01T23:59:59.000Z

351

Estimating radiogenic cancer risks  

SciTech Connect (OSTI)

This document presents a revised methodology for EPA`s estimation of cancer risks due to low-LET radiation exposures in light of information that has become available since the publication of BIER III, especially new information on the Japanese atomic bomb survivors. For most cancer sites, the risk model is one in which the age-specific relative risk coefficients are obtained by taking the geometric mean of coefficients derived from the atomic bomb survivor data employing two different methods for transporting risks from Japan to the U.S. (multiplicative and NIH projection methods). Using 1980 U.S. vital statistics, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population.

NONE

1994-06-01T23:59:59.000Z

352

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

SciTech Connect (OSTI)

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

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

2012-12-01T23:59:59.000Z

353

Estimating Corn Grain Yields  

E-Print Network [OSTI]

can collect samples from a corn field and use this data to calculate the yield estimate. An interactive grain yield calculator is provided in the Appendix of the pdf version of this publication. The calculator is also located in the publication.... Plan and prepare for sample and data collection. 2. Collect field samples and record data. 3. Analyze the data using the interactive grain yield calculator in the Appendix. Plan and prepare for sample and data collection Predetermine sample locations...

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

354

PROCEEDINGS OF 1976 SUMMER WORKSHOP ON AN ENERGY EXTENSION SERVICE  

E-Print Network [OSTI]

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

Authors, Various

2010-01-01T23:59:59.000Z

355

DOE Zero Energy Ready Home Verification...  

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

annual energy savings Electric: 12024 kWh Natural Gas: 181 Therms Electric: 13593 kWh Natural gas: 35 Therms Energy cost rates Estimated annual emissions reductions...

356

Rate Estimates In order to estimate the time needed to obtain a complete data set for one combination  

E-Print Network [OSTI]

Appendix C Rate Estimates In order to estimate the time needed to obtain a complete data set for one combination of colliding beams at one energy the following requirements were defined to obtain the model predictions. Also, since emphasis is put on the most central collisions, a 5% trigger is employed

357

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

E-Print Network [OSTI]

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

Vine, Edward

2007-01-01T23:59:59.000Z

358

Quantum limits to estimation of photon deformation  

E-Print Network [OSTI]

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

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

359

Statistical Estimates For Channel Flows Driven By A Pressure Gradient  

E-Print Network [OSTI]

We present rigorous estimates for some physical quantities related to turbulent and non-turbulent channel flows driven by a uniform pressure gradient. Such results are based on the concept of stationary statistical solution, which is related to the notion of ensemble average for flows in statistical equilibrium. We provide a lower bound estimate for the mean skin friction coefficient and improve on a previous upper bound estimate for the same quantity; both estimates in terms of the Reynolds number. We also present lower and upper bound estimates for the mean rate of energy dissipation, the mean longitudinal velocity (in the direction of the pressure gradient), and the mean kinetic energy. In particular, we obtain an upper bound related to the energy dissipation law, namely that the mean rate of energy dissipation is essentially bounded by a non-dimensional universal constant times the cube of the mean longitudinal velocity over a characteristic macro-scale length. Finally, we investigate the scale-by-scale energy injection due to the pressure gradient, proving an upper bound estimate for the decrease of this energy injection as the scale length decreases.

Fabio Ramos; Ricardo Rosa; Roger Temam

2006-12-14T23:59:59.000Z

360

Sustainable Energy Revolving Loan Fund PROJECT APPLICATION  

E-Print Network [OSTI]

1 Sustainable Energy Revolving Loan Fund PROJECT APPLICATION I. Project Administration 1. Project;2 III. Estimated Annual Energy Savings SHOW CALCULATIONS, RATIONALE AND/OR METHODOLOGY Attach additional documentation if needed Estimated Energy Savings Estimated Financial Savings ELECTRICAL ­ Kilowatt hour and

Escher, Christine

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


361

Estimating Equivalency of Explosives Through A Thermochemical Approach  

SciTech Connect (OSTI)

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

Maienschein, J L

2002-07-08T23:59:59.000Z

362

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.6 29.5 29.5 29.5 29.5 29.5 29.5 Crosscutting Space Tech Development 120.4 187.7 293.8 272.1 266.6 259.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE

363

Chapter 17: Estimating Net Savings: Common Practices  

SciTech Connect (OSTI)

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

Violette, D. M.; Rathbun, P.

2014-09-01T23:59:59.000Z

364

Department of Energy Finalizes Regulations to Increase Energy...  

Energy Savers [EERE]

energy savings and reduction in greenhouse gas emissions." Over the course of the next ten years, these standards are estimated to save taxpayer's 776 million dollars (in 2004...

365

Energy Blog | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOfCoal_Budget_Fact_Sheet.pdf More DocumentsAt an estimatedFromRSS May

366

Reassessing Wind Potential Estimates for India: Economic and Policy Implications  

SciTech Connect (OSTI)

We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

2011-09-15T23:59:59.000Z

367

State energy price and expenditure report 1994  

SciTech Connect (OSTI)

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

NONE

1997-06-01T23:59:59.000Z

368

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

369

The potential impact of renewable energy deployment on natural gas prices in New England  

E-Print Network [OSTI]

from the latest EIA Annual Energy Outlook. We estimate thein the latest EIA Annual Energy Outlook nationally and for

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

370

Residential Lighting Usage Estimate Tool, v1.0  

Broader source: Energy.gov [DOE]

By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates – such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

371

Lease Condensate Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343 342 328 370 396After898 701200973 178

372

Derived Annual Estimates  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42YearDelaware Natural2 0.2

373

Derived Annual Estimates  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42YearDelaware Natural2 0.274-1988

374

Coalbed Methane Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 46 47 62CarbonCubic1,966 1,914 1,886

375

POINTWISE ESTIMATES AND MONOTONICITY FORMULAS  

E-Print Network [OSTI]

POINTWISE ESTIMATES AND MONOTONICITY FORMULAS WITHOUT MAXIMUM PRINCIPLE MARCELO MONTENEGRO;2 MARCELO MONTENEGRO AND ENRICO VALDINOCI In this paper, a central role will be played by the following

376

Linear Constrained Moving Horizon Estimator With Pre-Estimating Observer  

E-Print Network [OSTI]

in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The idea of MHE is to estimate of robustness in the presence of uncertainties such as noise, disturbances and modeling errors, see Alessandri in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The pre-estimator leads

Johansen, Tor Arne

377

Magma energy  

SciTech Connect (OSTI)

The thermal energy contained in magmatic systems represents a huge potential resource. In the US, useful energy contained in molten and partially-molten magma within the upper 10 km of the crust has been estimated at 5 to 50 x 10/sup 22/ J (50,000 to 500,000 Quads). The objective of the Magma Energy Extraction Program is to determine the engineering feasibility of locating, accessing, and utilizing magma as a viable energy resource. This program follows the DOE/OBES-funded Magma Energy Research Project that concluded scientific feasibility of the magma energy concept. A primary long-range goal of this program is to conduct an energy extraction experiment directly in a molten, crustal magma body. Critical to determining engineering feasibility are several key technology tasks: (1) Geophysics - to obtain detailed definition of potential magma targets, (2) Geochemistry/Materials - to characterize the magma environment and select compatible engineering materials, (3) Drilling - to develop drilling and completion techniques for entry into a magma body, and (4) Energy Extraction - to develop heat extraction technology.

Dunn, J.C.

1987-01-01T23:59:59.000Z

378

State energy price and expenditure report, 1995  

SciTech Connect (OSTI)

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

NONE

1998-08-01T23:59:59.000Z

379

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect (OSTI)

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

380

Budget estimates. Fiscal year 1998  

SciTech Connect (OSTI)

The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.

NONE

1997-02-01T23:59:59.000Z

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


381

Examples of Cost Estimation Packages  

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

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

1997-03-28T23:59:59.000Z

382

Estimating Motor Efficiency in the Field  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCof EnergyHouse EnvironmentalEstimating Motor Efficiency in

383

Energy Efficiency Improvement Opportunities for the Cement Industry  

E-Print Network [OSTI]

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

Worrell, Ernst

2008-01-01T23:59:59.000Z

384

Global Potential of Energy Efficiency Standards and Labeling Programs  

E-Print Network [OSTI]

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

McNeil, Michael A

2008-01-01T23:59:59.000Z

385

Monthly energy review, August 1995  

SciTech Connect (OSTI)

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

NONE

1995-08-24T23:59:59.000Z

386

Energy and Eigenstate Using First Order Perturbation Theory  

E-Print Network [OSTI]

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

Raghu Ramachandran; Rama Komaragiri

2009-10-30T23:59:59.000Z

387

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

E-Print Network [OSTI]

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

Kahrl, Fredrich James

2011-01-01T23:59:59.000Z

388

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

E-Print Network [OSTI]

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

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

389

Eco-Friendly Complex Blends into Desert | Department of Energy  

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

on Nov. 13. Rooftop solar panels provide 27 percent of the facility's energy. Maricopa County officials estimate the complex is 42 percent more energy efficient than many modern...

390

Managing R&D Risk in Renewable Energy  

E-Print Network [OSTI]

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

Rausser, Gordon C.; Papineau, Maya

2008-01-01T23:59:59.000Z

391

Two Weeks in Just Two Minutes | Department of Energy  

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

for Sustainable Technology Research Big Savings for Texas City with Energy Monitoring Sensors The NYC Solar Map allows users to estimate the solar energy potential for every...

392

Global Potential of Energy Efficiency Standards and Labeling Programs  

E-Print Network [OSTI]

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

McNeil, Michael A

2008-01-01T23:59:59.000Z

393

International energy annual 1996  

SciTech Connect (OSTI)

The International Energy Annual presents an overview of key international energy trends for production, consumption, imports, and exports of primary energy commodities in over 220 countries, dependencies, and areas of special sovereignty. Also included are population and gross domestic product data, as well as prices for crude oil and petroleum products in selected countries. Renewable energy reported in the International Energy Annual includes hydroelectric power, geothermal, solar, and wind electric power, biofuels energy for the US, and biofuels electric power for Brazil. New in the 1996 edition are estimates of carbon dioxide emissions from the consumption of petroleum and coal, and the consumption and flaring of natural gas. 72 tabs.

NONE

1998-02-01T23:59:59.000Z

394

Measurement enhancement for state estimation  

E-Print Network [OSTI]

of a few phasor measurement units (PMU) in the system can significantly increase measurement redundancy, which in turn can improve the capability of state estimation to detect and identify bad data, even during loss of measurements. Meanwhile, strategic...

Chen, Jian

2009-05-15T23:59:59.000Z

395

Estimate of federal relighting potential and demand for efficient lighting products  

SciTech Connect (OSTI)

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

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

1993-11-01T23:59:59.000Z

396

Home Energy Saver Web Site Documentation Version 1.2 Documentation of Calculation Methodology, Input Data,  

E-Print Network [OSTI]

for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations

397

Estimate of average freeze-out volume in multifragmentation events  

E-Print Network [OSTI]

An estimate of the average freeze-out volume for multifragmentation events is presented. Values of volumes are obtained by means of a simulation using the experimental charged product partitions measured by the 4pi multidetector INDRA for 129Xe central collisions on Sn at 32 AMeV incident energy. The input parameters of the simulation are tuned by means of the comparison between the experimental and simulated velocity (or energy) spectra of particles and fragments.

Piantelli, S; Borderie, B; Bougault, R; Chbihi, A; Dayras, R; Durand, D; Frankland, J D; Galíchet, E; Guinet, D; Lanzalone, G; Lautesse, P; Le Neindre, N; López, O; Pârlog, M; Rivet, M F; Rosato, E; Tamain, B; Vient, E; Vigilante, M; Volant, C; Wieleczko, J P

2005-01-01T23:59:59.000Z

398

State energy price and expenditure report 1989  

SciTech Connect (OSTI)

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

Not Available

1991-09-30T23:59:59.000Z

399

Renewable Energy | Department of Energy  

Office of Environmental Management (EM)

Technologies Renewable Energy Renewable Energy Renewable energy increases energy security, creates jobs, and powers our clean energy economy. Renewable energy increases energy...

400

A Bayesian Framework for Combining Valuation Estimates  

E-Print Network [OSTI]

Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

Kenton K. Yee

2007-07-24T23:59:59.000Z

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


401

A Bayesian Framework for Combining Valuation Estimates  

E-Print Network [OSTI]

Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

Yee, Kenton K

2007-01-01T23:59:59.000Z

402

Resolvent estimates and local decay of waves on conic manifolds  

E-Print Network [OSTI]

We consider manifolds with conic singularites that are isometric to $\\mathbb{R}^{n}$ outside a compact set. Under natural geometric assumptions on the cone points, we prove the existence of a logarithmic resonance-free region for the cut-off resolvent. The estimate also applies to the exterior domains of non-trapping polygons via a doubling process. The proof of the resolvent estimate relies on the propagation of singularities theorems of Melrose and the second author to establish a "very weak" Huygens' principle, which may be of independent interest. As applications of the estimate, we obtain a exponential local energy decay and a resonance wave expansion in odd dimensions, as well as a lossless local smoothing estimate for the Schr{\\"o}dinger equation.

Dean Baskin; Jared Wunsch

2012-10-01T23:59:59.000Z

403

Uniform and optimal error estimates of an exponential wave ...  

E-Print Network [OSTI]

of the error propagation, cut-off of the nonlinearity, and the energy method. ...... gives Lemma 3.4 for the local truncation error, which is of spectral order in ... estimates, we adopt a strategy similar to the finite difference method [4] (cf. diagram.

2014-05-01T23:59:59.000Z

404

Estimation of Photovoltaic System Reliability and Performance Metrics  

E-Print Network [OSTI]

1 Estimation of Photovoltaic System Reliability and Performance Metrics Sairaj V. Dhople, Student reliability and perfor- mance analysis of grid-tied photovoltaic (PV) systems is for- mulated using Markov and energy yield, and reliability metrics such as availability. The paper also provides an analytical method

Liberzon, Daniel

405

Estimation of steady-state basic parameters of stars  

E-Print Network [OSTI]

From a minimum of total energy of celestial bodies, their basic parameters are obtained. The steady-state values of the mass, radius, and temperature of stars and white dwarfs, as well as masses of pulsars are calculated. The luminosity and giromagnetic ratio of celestial bodies are estimated. All the obtained values are in a satisfactory agreement with observation data.

B. V. Vasiliev

2000-03-30T23:59:59.000Z

406

Estimate of CP Violation for the LBNE Project and $?_{CP}  

E-Print Network [OSTI]

Measurements of CP violation (CPV) and the basic $\\delta_{CP}$ parameter are the goals of the LBNE Project, which is being planned. Using the expected energy and baseline parameters for the LBNE Project, CPV and the dependence of CPV on $\\delta_{CP}$ are estimated, to help in the planning of this project.

Leonard S. Kisslinger

2012-06-27T23:59:59.000Z

407

AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE  

E-Print Network [OSTI]

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

Sweetman, Bert

408

PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN  

E-Print Network [OSTI]

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

Sweetman, Bert

409

ITP Mining: Energy and Environmental Profile of the U.S. Mining...  

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

cost model. The remainder of this appendix describes how estimates calculated in these report were derived. A.1 Methodology to Calculate Estimated Energy Consumption by...

410

Emerging energy-efficient industrial technologies  

E-Print Network [OSTI]

Converter Furnace. ” In Ironmaking 2000, 18th Advancedenergy consumption for ironmaking is estimated at 780 TBtu (would reduce energy use in ironmaking by 30 percent relative

2000-01-01T23:59:59.000Z

411

Molecular dynamics simulation of threshold displacement energies...  

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

experimental estimates in ceramics. Citation: Moreira PA, R Devanathan, J Yu, and WJ Weber.2009."Molecular dynamics simulation of threshold displacement energies in...

412

Hawaii Clean Energy Initiative Scenario Analysis: Quantitative...  

Office of Environmental Management (EM)

Hawaii Clean Energy Initiative Scenario Analysis Quantitative Estimates Used to Facilitate Working Group Discussions (2008-2010) R. Braccio, P. Finch, and R. Frazier Booz Allen...

413

State energy price and expenditure report 1991  

SciTech Connect (OSTI)

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

Not Available

1993-09-01T23:59:59.000Z

414

Weldon Spring historical dose estimate  

SciTech Connect (OSTI)

This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.

Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.

1986-07-01T23:59:59.000Z

415

On the similarity of Information Energy to Dark Energy  

E-Print Network [OSTI]

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

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

2006-06-19T23:59:59.000Z

416

California Energy Commission September 14, 2012  

E-Print Network [OSTI]

Forecast: Estimates of Incremental Uncommitted Energy Savings Relative to the California Energy Demand Forecast (CED 2011), the demand forecast adopted by the California Energy Commission (Energy Commission, and Kate Sullivan. 2012. California Energy Demand Forecast 20122022 (Volume 1 and Volume 2) California

417

Optical Flow Estimation versus Motion Estimation Draft: Anita Sellent  

E-Print Network [OSTI]

. In the proposed challenge we aim to estimate the physical motion of objects. In industrial applications in the Camera System In industrial applications, sufficient illumination cannot always be provided. This can in the path of a robot or the trajectories of objects [7,12,13,17]. Video cameras provide information

Heermann, Dieter W.

418

Research opportunities to improve DSM impact estimates  

SciTech Connect (OSTI)

This report was commissioned by the California Institute for Energy Efficiency (CIEE) as part of its research mission to advance the energy efficiency and productivity of all end-use sectors in California. Our specific goal in this effort has been to identify viable research and development (R&D) opportunities that can improve capabilities to determine the energy-use and demand reductions achieved through demand-side management (DSM) programs and measures. We surveyed numerous practitioners in California and elsewhere to identify the major obstacles to effective impact evaluation, drawing on their collective experience. As a separate effort, we have also profiled the status of regulatory practices in leading states with respect to DSM impact evaluation. We have synthesized this information, adding our own perspective and experience to those of our survey-respondent colleagues, to characterize today`s state of the art in impact-evaluation practices. This scoping study takes a comprehensive look at the problems and issues involved in DSM impact estimates at the customer-facility or site level. The major portion of our study investigates three broad topic areas of interest to CIEE: Data analysis issues, field-monitoring issues, issues in evaluating DSM measures. Across these three topic areas, we have identified 22 potential R&D opportunities, to which we have assigned priority levels. These R&D opportunities are listed by topic area and priority.

Misuriello, H.; Hopkins, M.E.F. [Fleming Group, Washington, DC (United States)

1992-03-01T23:59:59.000Z

419

Dark energy and particle mixing  

E-Print Network [OSTI]

We show that the vacuum condensate due to particle mixing is responsible of a dynamically evolving dark energy. In particular, we show that values of the adiabatic index close to -1 for vacuum condensates of neutrinos and quarks imply, at the present epoch, contributions to the vacuum energy compatible with the estimated upper bound on the dark energy.

A. Capolupo; S. Capozziello; G. Vitiello

2008-08-30T23:59:59.000Z

420

Indiana Energy Energy Challenges  

E-Print Network [OSTI]

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

Ginzel, Matthew

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


421

Matter & Energy Wind Energy  

E-Print Network [OSTI]

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

Shepelyansky, Dima

422

BPA Metering Services Editing and Estimating Procedures  

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

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

423

Hydrogen Production Cost Estimate Using Biomass Gasification...  

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

Production Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is...

424

A Posteriori Error Estimates with Post-Processing for Nonconforming Finite Elements  

E-Print Network [OSTI]

that it has the same asymptotic behavior as the energy norm of the real discretization error itself. We show, we propose an a posteriori error estimate in the energy norm which uses as an additive term the \\post in the global energy norm, we demonstrate that the concept of using a conforming approximation

Schieweck, Friedhelm

425

Estimating the Macroeconomic Rebound Effect in China1 Jiangshan Zhang and C.-Y. Cynthia Lin  

E-Print Network [OSTI]

as follows: 1 1 direct indirectF FF R , (1) #12;where R denotes the rebound effect; F denotes energy Abstract The rebound effect measures the fraction of an energy efficiency improvement that is offset by increased energy consumption. In this paper we use three methods to estimate the macroeconomic rebound

Lin, C.-Y. Cynthia

426

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

E-Print Network [OSTI]

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

427

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

E-Print Network [OSTI]

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

Konopacki, Steven J.; Akbari, Hashem

2001-01-01T23:59:59.000Z

428

Energy savings and structural changes in the U.S. economy: Evidence from disaggregated data using decomposition techniques  

E-Print Network [OSTI]

Administration. Annual Energy Outlook. Washington, DC: U.S.Administration’s (EIA) Annual Energy Outlook estimates (fromthen from EIA’ s Annual Energy Outlook xii historical data

Murtishaw, Scott; Schipper, Lee

2001-01-01T23:59:59.000Z

429

Portfolio Selection with Robust Estimation  

E-Print Network [OSTI]

Department of Management Science and Operations, London Business School ... (1952). To implement these portfolios in practice, one has to estimate the mean and the covariance matrix of ... have good properties not only for the assumed distribution but also for any distribution in a ...... KNITRO user's manual. version 4.0.

2007-08-10T23:59:59.000Z

430

An Improved Cluster Richness Estimator  

SciTech Connect (OSTI)

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.

2009-08-03T23:59:59.000Z

431

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network [OSTI]

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. López (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

432

Cost of Offshore Wind Energy Charlene Nalubega  

E-Print Network [OSTI]

Cost of Offshore Wind Energy and Industrial Engineering The focus of my research is to estimate the cost of floating offshore wind turbines water as well as on land based wind farms. The specific offshore wind energy case under consideration

Mountziaris, T. J.

433

Embodied Energy and Off-Grid Lighting  

E-Print Network [OSTI]

embodied energy estimates (see Alsema and de Wild-ScholtenWild- Scholten 2006 Appendix 2: Details on Embodied Energyde Wild Schoelten Kato et al. 2001 LED Array Embodied energy

Alstone, Peter

2012-01-01T23:59:59.000Z

434

Federal Energy and Water Management Awards 2014  

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

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

435

Energy prices and the adoption of energy-saving technology  

E-Print Network [OSTI]

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

Linn, Joshua

2006-01-01T23:59:59.000Z

436

Verification of unfold error estimates in the unfold operator code  

SciTech Connect (OSTI)

Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

Fehl, D.L.; Biggs, F. [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)] [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)

1997-01-01T23:59:59.000Z

437

Technical Note: Estimating Aerosol Effects on Cloud Radiative Forcing  

SciTech Connect (OSTI)

Estimating anthropogenic aerosol effects on the planetary energy balance through the aerosol influence on clouds using the difference in cloud radiative forcing from simulations with and without anthropogenic emissions produces estimates that are positively biased. A more representative method is suggested using the difference in cloud radiative forcing calculated with aerosol radiative effects neglected. The method also yields an aerosol radiative forcing decomposition that includes a term quantifying the impact of changes in surface albedo. The method requires only two additional diagnostic calculations: the whole-sky and clear-sky top-of-atmosphere radiative flux with aerosol radiative effects neglected.

Ghan, Steven J.

2013-10-09T23:59:59.000Z

438

Estimating electric current densities in solar active regions  

E-Print Network [OSTI]

Electric currents in solar active regions are thought to provide the energy released via magnetic reconnection in solar flares. Vertical electric current densities $J_z$ at the photosphere may be estimated from vector magnetogram data, subject to substantial uncertainties. The values provide boundary conditions for nonlinear force- free modelling of active region magnetic fields. A method is presented for estimating values of $J_z$ taking into account uncertainties in vector magnetogram field values, and minimizing $J_z^2$ across the active region. The method is demonstrated using the boundary values of the field for a force-free twisted bipole, with the addition of noise at randomly chosen locations.

Wheatland, M S

2015-01-01T23:59:59.000Z

439

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

System . . . . . Capital Cost Estimates for a 2000 T/D Purox1976. Table F-2 Estimates of Capital Costs for Solar Thermalcapital costs, power rating at an optimal average wind velocity and energy costs The capacity factors, according to the estimate

Authors, Various

2010-01-01T23:59:59.000Z

440

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

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

was intended as an early step toward the development of widely-accepted concepts and methods for conducting such valuation studies. The agenda and summary are below....

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


441

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

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

was intended as an early step toward the development of widely-accepted concepts and methods for conducting such valuation studies. Presentations from Day 1 are below....

442

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

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

was intended as an early step toward the development of widely-accepted concepts and methods for conducting such valuation studies. Presentations from Day 2 are below....

443

Indian Country Solar Energy Potential Estimates & DOE IE Updates  

Office of Environmental Management (EM)

borrower must be rural small business or agricultural producer * Technology: biomass, solar, wind, hydro, hydrogen, geothermal * Applications: equipment, construction,...

444

Estimating Energy Efficiency Impacts Using Climate Wise "Wise Rules"  

E-Print Network [OSTI]

use. Climate Wise provides technical assistance in the form of efficiency check-lists, handbooks, and one-on-one support through a toll-free Wise Line to help partners identify efficiency measures and quantify project impacts. Climate Wise has...

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

445

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

Communication. IPCC (Intergovernmental Panel on Climate Change).climate change are planned, but not yet under way (Knowles, personal communication.Communication. Greg Fishman and Dave Hawlkins. California Climate Change

Sathaye, Jayant

2011-01-01T23:59:59.000Z

446

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

1997. “Climate Change and Water Resources. ” Climatic Change2006. Cost and Value of Water Use at Combined-Cycle Power2006. Cost and Value of Water Use at Combined-Cycle Power

Sathaye, Jayant

2011-01-01T23:59:59.000Z

447

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

2005. Potential Changes in Hydropower Production from Globalon high elevation hydropower generation in California'ssources include imports (hydropower from the north, thermal

Sathaye, Jayant

2011-01-01T23:59:59.000Z

448

Pumping System Measurements To Estimate Energy Savings: Why and How  

E-Print Network [OSTI]

Measuring performance parameters (flow rate, pressures, and power) for existing systems is essential to understanding how both the pump(s) and system are actually performing. Examples of reasons why actual measurements are critical and practical...

Casada, D.

2007-01-01T23:59:59.000Z

449

Eigen-Inference for Energy Estimation of Multiple Sources  

E-Print Network [OSTI]

the spectrum licensed to outdoors macrocells. Femtocells have the capabilities to self- organize techniques. I. INTRODUCTION At a time when radio resources become scarce, the alterna- tive offered by cognitive radios [1] is gaining more and more interest. A cognitive (or flexible) wireless network is a set

450

A Review of Geothermal Resource Estimation Methodology | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 East 300 SouthWater Rights, Substantive(Sichuan,Financial Framework

451

Property:Estimated End Date | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search Property NameEnvironmentalMitigation

452

Property:EstimatedCostHighUSD | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search Property

453

Property:EstimatedTimeLow | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to: navigation, search

454

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 NoSan Leandro,Law and PolicyEssex County is a county

455

Chapter 11Chapter 11 Estimating the Weighted  

E-Print Network [OSTI]

Chapter 11Chapter 11 Estimating the Weighted Average Cost of Capital DES Chapter 11 1 #12;U i th C.xls for shortfor short. DES Chapter 11 2 #12;S i l i hSteps to estimate value using the Corporate Valuation stockholders DES Chapter 11 7 #12;Estimating Target Weights Page 223: To calculate WACC, we need to estimate

Schubart, Christoph

456

Best Linear Unbiased Estimate Motivation for BLUE  

E-Print Network [OSTI]

1 Chapter 6 Best Linear Unbiased Estimate (BLUE) #12;2 Motivation for BLUE Except for Linear Model to a sub-optimal estimate BLUE is one such sub-optimal estimate Idea for BLUE: 1. Restrict estimate) Advantage of BLUE:Needs only 1st and 2nd moments of PDF Mean & Covariance Disadvantages of BLUE: 1. Sub

Fowler, Mark

457

Matter & Energy Solar Energy  

E-Print Network [OSTI]

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

Rogers, John A.

458

Tree Biomass Estimates on Forest Land in California's North Coast Region1  

E-Print Network [OSTI]

Tree Biomass Estimates on Forest Land in California's North Coast Region1 Tian-Ting Shih2 Tree biomass is one essential component in a forest ecosystem and is getting more attention nowadays due to its sequestration, energy production, and other natural and social resources uses and impacts. A biomass estimator

Standiford, Richard B.

459

Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter  

E-Print Network [OSTI]

in the Southern Great Plains region of the United States, using the terrestrial water balance as the constraint system, ARM/CART Energy Balance Bowen Ratio (EBBR) latent heat estimates and USGS streamflow from. The water balance was applied at the domain scale, and estimates of the water balance components

Pan, Ming

460

ADAPTIVE PDE OBSERVER FOR BATTERY SOC/SOH ESTIMATION Scott J. Moura  

E-Print Network [OSTI]

durability, thereby unlock- ing the full potential of battery energy storage. SOC/SOH esti- mationADAPTIVE PDE OBSERVER FOR BATTERY SOC/SOH ESTIMATION Scott J. Moura Miroslav Krstic Cymer Center develops an adaptive PDE observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation

Krstic, Miroslav

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


461

E-Print Network 3.0 - accurately estimate excess Sample Search...  

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

Summary: , we upgraded our data analysis to extract more accurate results for the excess power as a function... accurate estimates for the rate of energy exchange when an MeV...

462

Estimation of OTEC Global Resources with an Ocean General Circulation Model  

E-Print Network [OSTI]

Ocean Thermal Energy Conversion (OTEC) relies on the availability of temperature differencesEstimation of OTEC Global Resources with an Ocean General Circulation Model Krishnakumar Rajagopalan Postdoctoral Fellow Department of Ocean and Resources Engineering University of Hawai'i Abstract

Frandsen, Jannette B.

463

Systematic Review and Harmonization of Life Cycle GHG Emission Estimates for Electricity Generation Technologies (Presentation)  

SciTech Connect (OSTI)

This powerpoint presentation to be presented at the World Renewable Energy Forum on May 14, 2012, in Denver, CO, discusses systematic review and harmonization of life cycle GHG emission estimates for electricity generation technologies.

Heath, G.

2012-06-01T23:59:59.000Z

464

E-Print Network 3.0 - activity quantitative estimates Sample...  

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

activity- concentration ratio, b, was varied from 1 to 12. With r26cm, SPECT projection data for spheres... a scatter-estimate image from triple energy windows. Results:...

465

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network [OSTI]

an estimated total energy consumption of 19 GWh (0.07PJ),to 28% in 2005. Total energy consumption in 2020 in thecan have similar total energy consumption but produce very

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

466

Energy Department Invests More Than $7 Million to Deploy Tribal...  

Office of Environmental Management (EM)

Indian land comprises 2% of the U.S. land, but contains an estimated 5% of all U.S. renewable energy resources. Since 2002, the Energy Department's Tribal Energy Program has...

467

Energy Research and Development Division FINAL PROJECT REPORT  

E-Print Network [OSTI]

Energy Research and Development Division FINAL PROJECT REPORT PRELIMINARY ESTIMATES5002013051 Prepared for: California Energy Commission Prepared by: Lawrence Berkeley National Laboratory: 500-99-013 Prepared for: California Energy Commission Steve Ghadiri Contract Manager Fernando Piña

468

1. Cooling water is one-third of US water usage Basic approach: (a) estimate power consumption, from which you estimate cooling water usage  

E-Print Network [OSTI]

1. Cooling water is one-third of US water usage Basic approach: (a) estimate power consumption) Water for power consumption I happen to know that total energy usage is roughly 10 kW per person energy usage by a lot. Now we assume that a power plant is 50% efficient. I assumed more than 20%, less

Nimmo, Francis

469

EnergySmart: Toward Energy-Efficient Manycores for Near-Threshold Computing  

E-Print Network [OSTI]

and static energy. According to initial estimates [7, 13], NTC can decrease the energy per operationEnergySmart: Toward Energy-Efficient Manycores for Near-Threshold Computing Ulya R. Karpuzcu on-chip voltage (Vdd) domains. However, this paper finds that such an approach is energy inefficient

Torrellas, Josep

470

To estimate vapor pressure easily  

SciTech Connect (OSTI)

Vapor pressures as functions of temperature for approximately 700 major organic chemical compounds are given. The tabulation also gives the temperature range for which the data are applicable. Minimum and maximum temperatures are denoted by TMIN and TMAX. The Antoine equation that correlates vapor pressure as a function of temperature is described. A representative comparison of calculated and actual data values for vapor pressure is shown for ethyl alcohol. The coefficient tabulation is based on both literature (experimental data) and estimated values.

Yaws, C.L.; Yang, H.C. (Lamar Univ., Beaumont, TX (USA))

1989-10-01T23:59:59.000Z

471

autoregressive spectral estimation: Topics by E-print Network  

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

Estimation: A Tunable High-Resolution Spectral Estimator CiteSeer Summary: Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimates....

472

Energy Information Administration - Energy Efficiency, energy...  

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

Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and...

473

Renewable energy annual 1995  

SciTech Connect (OSTI)

The Renewable Energy Annual 1995 is the first in an expected series of annual reports the Energy Information Administration (EIA) intends to publish to provide a comprehensive assessment of renewable energy. This report presents the following information on the history, status, and prospects of renewable energy data: estimates of renewable resources; characterizations of renewable energy technologies; descriptions of industry infrastructures for individual technologies; evaluations of current market status; and assessments of near-term prospects for market growth. An international section is included, as well as two feature articles that discuss issues of importance for renewable energy as a whole. The report also contains a number of technical appendices and a glossary. The renewable energy sources included are biomass (wood), municipal solid waste, biomass-derived liquid fuels, geothermal, wind, and solar and photovoltaic.

NONE

1995-12-01T23:59:59.000Z

474

Estimated Carbon Dioxide Emissions in 2008: United States  

SciTech Connect (OSTI)

Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

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

2011-04-01T23:59:59.000Z

475

Bending Energy of Rods and Plates  

E-Print Network [OSTI]

descriptors DUH HFFHQWULFLW\\ VSKHULFLW\\ 3$ SHULPHWHU VTXDUHG GLYLGHG E\\ WLPHV area) and bending energy185 Chapter 9 Bending Energy of Rods and Plates Integrated curvature and bending energy of a closed curvature/energy values over a chain-code description of the contour (as in binary length estimators). We

van Vliet, Lucas J.

476

Minimum Energy Diagrams for Multieffect Distillation Arrangements  

E-Print Network [OSTI]

and the energy use from this process accounts for an estimated 3% of the world energy consumption.1 With rising on the overall plant energy consumption. The use of heat integration combined with complex config- urations distillation ar- rangements. An easy form of comparison for energy consumption is the minimum vapor flow rate

Skogestad, Sigurd

477

Distributed Energy Resources at Naval Base Ventura County Building 1512: A Sensitivity Analysis  

E-Print Network [OSTI]

cost estimates) Figure 4: Capital and O&M Costs Sensitivity – Separate Refrigeration Load Distributed Energy Resourcescost estimates) Figure 8: Capital and O&M Costs Sensitivity Analysis – Integrated Refrigeration Load Distributed Energy Resources

Bailey, Owen C.; Marnay, Chris

2005-01-01T23:59:59.000Z

478

Parameter estimation with Sandage-Loeb test  

E-Print Network [OSTI]

The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between $\\Omega_m$ and $H_0$ in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on $\\Omega_m$ and $H_0$ by more than 60\\% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant $w$ by about 25\\%, and improve the constraints on $w_0$ and $w_a$ by about 20\\% and 15\\%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.

Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang

2014-11-28T23:59:59.000Z

479

Theoretical estimates of cross sections for neutron-nucleus collisions  

E-Print Network [OSTI]

We construct an analytical model derived from nuclear reaction theory and having a simple functional form to demonstrate the quantitative agreement with the measured cross sections for neutron induced reactions. The neutron-nucleus total, reaction and scattering cross sections, for energies ranging from 5 to 700 MeV and for several nuclei spanning a wide mass range are estimated. Systematics of neutron scattering cross sections on various materials for neutron energies upto several hundred MeV are important for ADSS applications. The reaction cross sections of neutrons are useful for determining the neutron induced fission yields in actinides and pre-actinides. The present model based on nuclear reaction theory provides good estimates of the total cross section for neutron induced reaction.

Tapan Mukhopadhyay; Joydev Lahiri; D. N. Basu

2011-03-14T23:59:59.000Z

480

Renewable Energy | Department of Energy  

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

Research Topics Renewable Energy Renewable Energy he Office of Energy Efficiency and Renewable Energy (EERE) 2014 Postdoctoral Research Awards are sponsored by: Solar Energy...

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


481

Energy 101 | Department of Energy  

Energy Savers [EERE]

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

482

Ontario’s Protocols for Evaluating the Energy and Bill Savings from Industrial Energy Efficiency Programs  

E-Print Network [OSTI]

. This paper focuses on how the protocols will help provide more transparent information to building owners about the net savings achieved by a particular energy efficiency investment and reviews the best methods available to estimate both gross and net energy...

Messenger, M.

2007-01-01T23:59:59.000Z

483

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

Energy Efficiency & Renewable Energy DOE Hydrogen & Fuel Cell Overview Dr. Sunita Satyapal Program Manager U.S. Department of Energy Fuel Cell Technologies Program DOE/CESA/TTC Hydrogen and Fuel Cells: Addressing Energy Challenges #12;4 Fuel Cells -- Where are we today? Fuel Cells for Transportation

484

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

Energy Efficiency & Renewable Energy Source: US DOE 10/2010 Hydrogen and Fuel Cell Technologies ­ Upcoming Workshops & Solicitations Source: US DOE 10/2010 2 #12; Double Renewable Energy Capacity by 2012 Update Dr. Sunita Satyapal Program Manager U.S. Department of Energy Fuel Cell Technologies Program Fuel

485

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

Energy Efficiency & Renewable Energy Overview of Hydrogen and Fuel Cell Activities Richard Farmer Hydrogen Business Council September 14, 2010 #12; Double Renewable Energy Capacity by 2012 Invest $150 Deputy Program Manager Fuel Cell Technologies Program United States Department of Energy Mountain States

486

Energy Conservation Renewable Energy  

E-Print Network [OSTI]

Energy Conservation Renewable Energy The Future at Rutgers University Facilities & Capital Planning Operations & Services Utilities Operations 6 Berrue Circle Piscataway, NJ 08854 #12;Energy Conservation Wh C ti ? R bl EWhy Conservation? Renewable Energy · Climate control reduces green house gases · Reduces

Delgado, Mauricio

487

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

Energy Efficiency & Renewable Energy 2009 FUEL CELL MARKET REPORT NOVEMBER 2010 #12;Authors of Energy's Fuel Cell Technologies Program for their support and guidance in the preparation of this report-Jerram of Fuel Cell Today Consulting, Rachel Gelman of the National Renewable Energy Laboratory, Jennifer Gangi

488

Energy Efficiency & Renewable Energy  

E-Print Network [OSTI]

Energy Efficiency & Renewable Energy AUGUST 2010 2009 WIND TECHNOLOGIES MARKET REPORT EXECUTIVE (Berkeley Lab) Kevin Porter and Sari Fink (Exeter Associates) Suzanne Tegen (National Renewable Energy relatively high levels of wind energy penetration in their electricity grids: end-of-2009 wind power capacity

489

Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration  

SciTech Connect (OSTI)

This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

2013-12-31T23:59:59.000Z

490

Equilibrium and eigenfunctions estimates in the semiclassical regime  

SciTech Connect (OSTI)

We establish eigenfunctions estimates, in the semiclassical regime, for critical energy levels associated to an isolated singularity. For Schroedinger operators, the asymptotic repartition of eigenvectors is the same as in the regular case, excepted in dimension one where a concentration at the critical point occurs. This principle extends to pseudo-differential operators and the limit measure is the Liouville measure as long as the singularity remains integrable.

Camus, Brice [Ruhr-Universitaet Bochum, Fakultaet fuer Mathematik, Universitaetsstr. 150, D-44780 Bochum (Germany)

2006-11-15T23:59:59.000Z

491

Microsoft PowerPoint - Cost Estimating for Hydro Planning  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1PlanARMAqueous two-phase7Estimating

492

A Casimir approach to dark energy  

E-Print Network [OSTI]

We calculate the gravitational self-energy of vacuum quantum field fluctuations using a Casimir approach. We find that the Casimir gravitational self-energy density can account for the measured dark energy density when the SUSY-breaking energy is approximately 5 TeV, in good agreement with current estimates. Furthermore, the Casimir gravitational self-energy appears to provide a quantum mechanism for the well-know geometric relation between the Planck, SUSY and cosmological constant energy scales.

Allan Rosencwaig

2006-06-26T23:59:59.000Z

493

E-Print Network 3.0 - alterarions energy expenditure Sample Search...  

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

causes greater energy expenditure... but also weighted to match the mass of the walking boots. We estimated metabolic energy expenditure, joint... fixation with walking boots...

494

E-Print Network 3.0 - activity energy expenditure Sample Search...  

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

causes greater energy expenditure... but also weighted to match the mass of the walking boots. We estimated metabolic energy expenditure, joint... fixation with walking boots...

495

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network [OSTI]

Figure 9: Per Capita Carbon Emissions for Residential Energy9: Per Capita Carbon Emissions for Residential Energy Useenergy content for each fuel, the estimated per capita carbon emissions

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

496

Novel design and implementation of a permanent magnet linear tubular generator for ocean wave energy conversion.  

E-Print Network [OSTI]

??The world’s energy consumption is growing at an alarming rate and the need for renewable energy is apparent now more than ever. Estimates have shown… (more)

Prudell, Joseph H.

2007-01-01T23:59:59.000Z

497

Econometric Analysis on Efficiency of Estimator  

E-Print Network [OSTI]

This paper investigates the efficiency of an alternative to ratio estimator under the super population model with uncorrelated errors and a gamma-distributed auxiliary variable. Comparisons with usual ratio and unbiased estimators are also made.

M. Khoshnevisan; F. Kaymram; Housila P. Singh; Rajesh Singh; Florentin Smarandache

2003-04-16T23:59:59.000Z

498

Bayesian estimation of resistivities from seismic velocities   

E-Print Network [OSTI]

I address the problem of finding a background model for the estimation of resistivities in the earth from controlled-source electromagnetic (CSEM) data by using seismic data and well logs as constraints. Estimation of ...

Werthmüller, Dieter

2014-06-30T23:59:59.000Z

499

Cost Model and Cost Estimating Software  

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

This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

1997-03-28T23:59:59.000Z

500

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network [OSTI]

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele