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


1

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

2

Rangeland Resource Management for Texans: Total Resource Management  

E-Print Network [OSTI]

The Total Resource Management approach helps ranchers make strategic, tactical and operational decisions for the best, most cost-effective use of resources. This publication offers step-by-step directions for implementing TRM for a profitable...

Hanselka, C. Wayne; Fox, William E.; White, Larry D.

2004-03-26T23:59:59.000Z

3

Contractor: Contract Number: Contract Type: Total Estimated  

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

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009 $39,646,446 FY2010 $64,874,187 FY2011 $66,253,207 FY2012 $41,492,503 FY2013 $0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available $2,550,203 Minimum Fee $77,931,569 $69,660,249 Savannah River Nuclear Solutions LLC $458,687,779 $0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470

4

Notices Total Estimated Number of Annual  

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

72 Federal Register 72 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update student financial aid records using telecommunication software. Eligible respondents include the following, but are not limited to, institutions of higher education that participate in Title IV, HEA assistance programs, third-party servicers of eligible institutions,

5

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

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

6

Estimating the Value of Electricity Storage Resources in Electricity...  

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

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

7

A Review of Geothermal Resource Estimation Methodology | Open...  

Open Energy Info (EERE)

to library Conference Paper: A Review of Geothermal Resource Estimation Methodology Abstract The reliability of resource estimation methodology has become increasingly...

8

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

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

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

9

Estimating Radiation Risk from Total Effective Dose Equivalent...  

National Nuclear Security Administration (NNSA)

and UNSCEAR 1988 in Radiation Risk Assessment - Lifetime Total Cancer Mortality Risk Estimates at Low Doses and Low Dose Rates for Low-LET Radiation, Committee on Interagency...

10

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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

11

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

12

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

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

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

13

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

14

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

15

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

16

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network [OSTI]

and plant based biomass, with the largest proportion (39%) from domestic wood combustion. Objectives utilise an additional 2 million `green' tonnes of wood biomass a year - equivalent to 1 million oven dry, the estimated amount of woodfuel biomass most immediately available from UMW is 12% of the FCE target

17

Comparison of Historical Satellite-Based Estimates of Solar Radiation Resources with Recent Rotating Shadowband Radiometer Measurements: Preprint  

SciTech Connect (OSTI)

The availability of rotating shadow band radiometer measurement data at several new stations provides an opportunity to compare historical satellite-based estimates of solar resources with measurements. We compare mean monthly daily total (MMDT) solar radiation data from eight years of NSRDB and 22 years of NASA hourly global horizontal and direct beam solar estimates with measured data from three stations, collected after the end of the available resource estimates.

Myers, D. R.

2009-03-01T23:59:59.000Z

18

b) Economic i) Total damage estimates: From Pimentel et al. (2000)  

E-Print Network [OSTI]

4) Impacts b) Economic i) Total damage estimates: From Pimentel et al. (2000) · United States #12;4) Impacts b) Economic i) Total damage estimates: From Pimentel et al. (2000) · United States Economic impacts from losses/damage #12;4) Impacts b) Economic i) Total damage estimates: From Pimentel et al

Nowak, Robert S.

19

Estimating the potential of ocean wave power resources  

Science Journals Connector (OSTI)

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

Amir H. Izadparast; John M. Niedzwecki

2011-01-01T23:59:59.000Z

20

Eccentricity Error Correction for Automated Estimation of Polyethylene Wear after Total Hip Arthroplasty  

E-Print Network [OSTI]

Eccentricity Error Correction for Automated Estimation of Polyethylene Wear after Total Hip. Wire markers are typically attached to the polyethylene acetabular component of the prosthesis so

St Andrews, University of

Note: This page contains sample records for the topic "total resource estimation" 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

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.

22

Total field aeromagnetic map of the Raft River known Geothermal Resource  

Open Energy Info (EERE)

field aeromagnetic map of the Raft River known Geothermal Resource field aeromagnetic map of the Raft River known Geothermal Resource Area, Idaho by the US Geological Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Total field aeromagnetic map of the Raft River known Geothermal Resource Area, Idaho by the US Geological Survey Details Activities (1) Areas (1) Regions (0) Abstract: GEOTHERMAL ENERGY; MAGNETIC SURVEYS; MAPS; RAFT RIVER VALLEY; AERIAL SURVEYING; GEOTHERMAL RESOURCES; IDAHO; KGRA; FEDERAL REGION X; GEOPHYSICAL SURVEYS; NORTH AMERICA; RESOURCES; SURVEYS; USA Author(s): Geological Survey, Denver, CO (USA) Published: DOE Information Bridge, 1/1/1981 Document Number: Unavailable DOI: 10.2172/5456508 Source: View Original Report Aeromagnetic Survey At Raft River Geothermal Area (1981) Raft River Geothermal Area

23

An evaluation of total body electrical conductivity to estimate body composition of largemouth bass  

E-Print Network [OSTI]

Information about body composition of fish is important for the assessment and management of fish stocks. Measurement of total body electrical conductivity (TOBEC) recently has been used to estimate the body composition of several fish species in a...

Barziza, Daniel Eugene

2012-06-07T23:59:59.000Z

24

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

25

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements  

Broader source: Energy.gov [DOE]

Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of...

26

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

27

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

28

Estimating Administrative and Procedural Costs Natural Resource Restoration Settlements  

E-Print Network [OSTI]

assessment costs incurred by natural resource trustee agencies (i.e., the federal, state, Indian tribe, and, trustee costs #12;The goal of natural resource damage assessment actions undertaken subsequent to the trustees, or some combination thereof. The damage assessment costs incurred by the natural resource

29

ESTIMATION OF TOTAL RADIATIVE POWER FROM THE 6-GEV RING LS-24  

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

TOTAL RADIATIVE POWER TOTAL RADIATIVE POWER FROM THE 6-GEV RING LS-24 G. K. Shenoy APRIL 18,1985 Here we make an estimation of the total power radiated from a positron trajectory through the bending magnets, undulators and wigglers. Bending Magnets The power P B per each bending magnet in the ring is given by (1) where E = 6 GeV B = field average over the magnet length = 0.67 T I = stored current = 0.1 A L = trajectory in each dipole magnet = 2.95 m (Ref. LS-12) This gives P B = 6021 watts. Since there are 64 such dipoles in the ring, the total power radiated from dipoles is T P B (watts) = P B (watts) x 64 = 385 kwatts 2 Undulators The total power radiated from a sinosoidal undulator is either given by P u (watts) (2) or by (3) where N = number of undulator periods of length AO (em), K is the deflection

30

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

31

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

32

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

33

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

34

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

35

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

36

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

37

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

38

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

39

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements  

SciTech Connect (OSTI)

Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

2014-03-01T23:59:59.000Z

40

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

Note: This page contains sample records for the topic "total resource estimation" 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

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

42

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

43

Resource Optimization in a Wireless Sensor Network with Guaranteed Estimator  

E-Print Network [OSTI]

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

Murray, Richard M.

44

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

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

45

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

SciTech Connect (OSTI)

An estimate of the total and recoverable geopressured geothermal resource of the fairways in the Wilcox and Frio formations is made using the current data available. The flow rate of water and methane for wells located in the geopressured geothermal fairways is simulated over a 20-year period utilizing the TOUGH2 Reservoir Simulator and research data. The model incorporates relative permeability, capillary pressure, rock compressibility, and leakage from the bounding shale layers. The simulations show that permeability, porosity, pressure, sandstone thickness, well spacing, and gas saturation in the sandstone have a significant impact on the percent of energy recovered. The results also predict lower average well production flow rates and a significantly higher production of natural gas relative to water than in previous studies done from 1975 to 1980. Previous studies underestimate the amount of methane produced with hot brine. Based on the work completed in this study, multiphase flow processes and reservoir boundary conditions greatly influence the total quantity of the fluid produced as well as the ratio of gas and water in the produced fluid.

Esposito, A.; Augustine, C.

2011-10-01T23:59:59.000Z

46

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

47

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

48

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

49

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

50

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

51

A Comparison of Load Estimates Using Total Suspended Solids and Suspended-Sediment Concentration Data  

E-Print Network [OSTI]

-sediment concentration (SSC) data and the ramifications of using each type of data to estimate sediment loads from paired TSS and SSC data, to annual loads computed by the U.S. Geological Survey (USGS) using traditional techniques and SSC data. Load estimates were compared for 10 stations where sufficient TSS and SSC

Torgersen, Christian

52

Accumulated CFC-11 in polyurethane foam insulation: an estimate of the total amount in district heating installations in Sweden  

Science Journals Connector (OSTI)

In rigid polyurethane foam used for thermal insulation, CFC-11 has been the main blowing agent for many years, but is now subject to phase-out regulations. During ageing of this foam, air diffuses into it and blowing agents leak into the atmosphere, resulting in a decreased insulating capacity. Determinations of the cell gas composition and the total content of CFC-11 in foam from district heating installations of different ages are reported in this paper. The total amount of CFC-11 in old district heating schemes in Sweden is estimated at 2000 tonnes. The amount in refrigeration equipment in Sweden is about twice as large.

M. Svanstrom

1996-01-01T23:59:59.000Z

53

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

54

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

55

Resources  

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

Resources / Related Web Sites Resources / Related Web Sites Buildings-Related Resources Windows & Glazing Resources Energy-Related Resources International Resources Telephone Directories Buildings-Related Resources California Institute for Energy Efficiency (CIEE) Center for Building Science (CBS) at LBNL Department of Energy (DOE) DOE Energy Efficiency home page Energy Efficiency and Renewable Energy Clearinghouse Fact sheets in both HTML for standard web browsers and PDF format using Adobe Acrobat Reader (free). National Fenestration Rating Council home page Office of Energy Efficiency and Renewable Energy (EREN) back to top... Windows & Glazing Resources National Glass Association (NGA) LBNL Building Technologies Fenestration R&D news LBNL Center for Building Science (CBS) Newsletter

56

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

Science Journals Connector (OSTI)

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

Jianzhou Wang; Shanshan Qin; Shiqiang Jin; Jie Wu

2015-01-01T23:59:59.000Z

57

Assessment of the validity of conductivity as an estimate of total dissolved solids in heavy-duty coolants  

SciTech Connect (OSTI)

Conductivity is widely used in the analysis of heavy-duty coolants to estimate total dissolved solids. TDS is of concern in heavy-duty coolants because the practice of adding supplemental coolant additives (SCAs) to the coolant can lead to overloading and to subsequent water pump seal weepage and failure. Conductivity has the advantage of being quick and easy to measure and the equipment is inexpensive. However, questions are continually raised as to whether conductivity truly is a valid method of estimating TDS and, if so, over what concentration range. The introduction of new chemistries in heavy-duty coolants and new extended service interval (ESI) technologies prompts a critical assessment. Conductivity and TDS measurements for all of the coolants and SCAs used in heavy-duty engines in North America will be presented. The effects of glycol concentration on conductivity will also be examined.

Carr, R.P. [Penray Companies, Inc., Wheeling, IL (United States)

1999-08-01T23:59:59.000Z

58

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

Gasoline and Diesel Fuel Update (EIA)

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

59

Resources  

Broader source: Energy.gov [DOE]

Case studies and additional resources on implementing renewable energy in Federal new construction and major renovations are available.

60

Resources  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

Note: This page contains sample records for the topic "total resource estimation" 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 coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics  

Science Journals Connector (OSTI)

Abstract This study discusses the development of a coupled mesoscale–microscale framework for wind resource estimation and farm aerodynamics. WINDWYO is a computational framework for performing coupled mesoscale–microscale simulations. The framework is modular, automated and supports coupling of different mesoscale and microscale solvers using overset or matched grids. The modular nature of the framework and the support for overset grids allows the independent development of mesoscale and microscale solvers and the efficient coupling between the codes. The performance of the framework is evaluated by coupling Weather Research and Forecasting (WRF) model with three microscale computational fluid dynamics (CFD) codes of varying complexity. The solvers used are: (i) UWake: a blade element model with free-vortex wake, (ii) Flowyo: large eddy simulation code with actuator line/disk parametrization of the wind turbine and (iii) HELIOS: detached eddy simulation code with full rotor modeling and adaptive mesh refinement. Power predictions and wake visualization of single turbine and off-shore Lillgrund wind farm in uniform and turbulent inflow are used to demonstrate the capabilities of the framework.

Harish Gopalan; Christopher Gundling; Kevin Brown; Beatrice Roget; Jayanarayanan Sitaraman; Jefferey D. Mirocha; Wayne O. Miller

2014-01-01T23:59:59.000Z

62

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

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

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

63

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

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

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

64

1993 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 2, Book 2, Capacity.  

SciTech Connect (OSTI)

Monthly totals of utility loads and capacities extrapolated as far as 2009 with a probability estimate of enough water resources for hydro power.

United States. Bonneville Power Administration.

1993-12-01T23:59:59.000Z

65

Method for estimation of the average local working temperatures and the residual resource of metal coatings of gas-turbine blades  

Science Journals Connector (OSTI)

A new method is proposed for estimation of the average local operating temperatures and the residual service life (resource) of protective MCrAlY metal coatings of gas-turbine blades after a certain time of opera...

P. G. Krukovskii; K. A. Tadlya

2007-05-01T23:59:59.000Z

66

NREL: Renewable Resource Data Center - Biomass Resource Data  

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

Data The following biomass resource data collections can be found in the Renewable Resource Data Center (RReDC). Current Biomass Resource Supply An estimate of biomass resources...

67

Recoverable Natural Gas Resource of the United States: Summary of Recent Estimates  

Science Journals Connector (OSTI)

...Summary of Recent Estimates John B. Curtis 1 Scott L. Montgomery...montgomery@prodigy.net John B. Curtis is associate professor...Technology Institute (Holtberg and Cochener, 2001), the National Petroleum...the Potential Gas Committee: John D. Haun, David F. Morehouse...

John B. Curtis; Scott L. Montgomery

68

Coal quality and estimated coal resources in the proposed Colville Mining District, central North Slope, Alaska  

SciTech Connect (OSTI)

The proposed Colville Mining District (CMD) encompasses 27,340 mi{sup 2} (70,800 km{sup 2}) in the central part of the North Slope. Known coal deposits within the proposed district range from Mississippian to Tertiary in age. Available information indicates that neither Mississippian and Tertiary coals in the CMD constitute a significant resource because they are excessively deep, thin, or high in ash content; however, considerable amount of low-sulfur Cretaceous coal is present. The paper briefly describes the geology and quality of these coal reserves. Difficult conditions will restrict mining of these coals in the near future.

Stricker, G.D. [Geological Survey, Denver, CO (United States); Clough, J.G. [Alaska Department of Natural Resources, Fairbanks, AK (United States). Division of Geological and Geophysical Surveys

1994-12-31T23:59:59.000Z

69

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

70

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

71

WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential  

Wind Powering America (EERE)

Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore...

72

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

73

Estimation of the total effective dose from low-dose CT scans and radiopharmaceutical administrations delivered to patients undergoing SPECT/CT explorations  

Science Journals Connector (OSTI)

The effective dose calculation is useful to compare the doses from, and the radiation risks associated with, different diagnostic examinations. ... account the uncertainties associated with the estimated effectiv...

Carlos Montes; Pilar Tamayo; Jorge Hernandez…

2013-08-01T23:59:59.000Z

74

FLOW RESISTANCE ESTIMATION IN HIGH-GRADIENT STREAMS Steven Yochum, Hydrologist, USDA Natural Resources Conservation Service & Colorado  

E-Print Network [OSTI]

and waterfalls impact on standing water, resulting in substantial turbulence. In step-pool and cascade streams Resources Conservation Service & Colorado State University, Fort Collins, CO, steven for low, mid and near-bankfull flows in cascade, step pool and plane bed stream reaches in the Fraser

Bledsoe, Brian

75

Estimation of coalbed methane resources using a probabilistic scheme from geological data of coal basin in Mongolia  

Science Journals Connector (OSTI)

A general material balance equation of coal deposits was developed for gas and water by King (1993). The original gas in place for CBM can be estimated from the initial drilling core data or production data. The ...

Youngmin Kim; Budzaya Unurbayan; Jeonghwan Lee

2014-08-01T23:59:59.000Z

76

A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom  

Science Journals Connector (OSTI)

A number of interrelated factors can affect the precision and accuracy of lung nodule size estimation. To quantify the effect of these factors, we have been conducting phantom CT... Full-Text PDF contains links to datasets. See ISP homepage for software requirements and other information.

Gavrielides, Marios A; Kinnard, Lisa M; Myers, Kyle J; Peregoy, Jennifer; Pritchard, William F; Zeng, Rongping; Esparza, Juan; Karanian, John; Petrick, Nicholas

2010-01-01T23:59:59.000Z

77

Estimate of the total kinetic power and age of an extragalactic jet by its cocoon dynamics: the case of Cygnus A  

Science Journals Connector (OSTI)

......the quantities of total plasma. Also, for radio bubbles...specific heat ratio of the plasma inside the cocoon, respectively...the ICM with declining atmosphere and the relativistic...visible in the 610-MHz image and the aspect...D., 1998, Phys. Plasmas, 5, 1981. Celotti......

M. Kino; N. Kawakatu

2005-12-01T23:59:59.000Z

78

Estimating potential photovoltaic yield with r.sun and the open source Geographical Resources Analysis Support System  

SciTech Connect (OSTI)

The package r.sun within the open source Geographical Resources Analysis Support System (GRASS) can be used to compute insolation including temporal and spatial variation of albedo and solar photovoltaic yield. A complete algorithm is presented covering the steps of data acquisition and preprocessing to post-simulation whereby candidate lands for incoming solar farms projects are identified. The optimal resolution to acquire reliable solar energy outputs to be integrated into PV system design software was determined to be 1 square km. A case study using the algorithm developed here was performed on a North American region encompassing fourteen counties in South-eastern Ontario. It was confirmed for the case study that Ontario has a large potential for solar electricity. This region is found to possess over 935,000 acres appropriate for solar farm development, which could provide 90 GW of PV. This is nearly 60% of Ontario's projected peak electricity demand in 2025. The algorithm developed and tested in this paper can be generalized to any region in the world in order to foster the most environmentally-responsible development of large-scale solar farms. (author)

Nguyen, H.T.; Pearce, J.M. [Department of Mechanical and Materials Engineering, Queen's University, 60 Union Street, Kingston, Ontario (Canada)

2010-05-15T23:59:59.000Z

79

TOTAL Full-TOTAL Full-  

E-Print Network [OSTI]

Conducting - Orchestral 6 . . 6 5 1 . 6 5 . . 5 Conducting - Wind Ensemble 3 . . 3 2 . . 2 . 1 . 1 Early- X TOTAL Full- Part- X TOTAL Alternative Energy 6 . . 6 11 . . 11 13 2 . 15 Biomedical Engineering 52 English 71 . 4 75 70 . 4 74 72 . 3 75 Geosciences 9 . 1 10 15 . . 15 19 . . 19 History 37 1 2 40 28 3 3 34

Portman, Douglas

80

Solar Resource Assessment for Sri Lanka and Maldives  

SciTech Connect (OSTI)

The countries of Sri Lanka and the Maldives lie within the equatorial belt, a region where substantial solar energy resources exist throughout much of the year in adequate quantities for many applications, including solar water heating, solar electricity, and desalination. The extent of solar resources in Sri Lanka has been estimated in the past based on a study of the daily total direct sunshine hours recorded at a number of weather and agricultural stations throughout the country. These data have been applied to the well-known Angstrom relationship in order to obtain an estimate of the distribution of monthly average daily total solar resources at these stations. This study is an effort in improve on these estimates in two ways: (1) to apply a gridded cloud cover database at a 40-km resolution to produce updated monthly average daily total estimates of all solar resources (global horizontal, DNI, and diffuse) for the country, and (2) to input hourly or three-hourly cloud cover observations made at nine weather stations in Sri Lanka and two in the Maldives into a solar model that produces estimates of hourly solar radiation values of the direct normal, global, and diffuse resource covering the length of the observational period. Details and results of these studies are summarized in this report.

Renne, D.; George, R.; Marion, B.; Heimiller, D.; Gueymard, C.

2003-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

82

Colorado's hydrothermal resource base: an assessment  

SciTech Connect (OSTI)

As part of its effort to more accurately describe the nations geothrmal resource potential, the US Department of Energy/Division of Geothermal Energy contracted with the Colorado Geological survey to appraise the hydrothermal (hot water) geothermal resources of Colorado. Part of this effort required that the amount of energy that could possibly be contained in the various hydrothermal systems in Colorado be estimated. The findings of that assessment are presented. To make these estimates the geothermometer reservoir temperatures estimated by Barrett and Pearl (1978) were used. In addition, the possible reservoir size and extent were estimated and used. This assessment shows that the total energy content of the thermal systems in Colorado could range from 4.872 x 10{sup 15} BTU's to 13.2386 x 10{sup 15} BTU's.

Pearl, R.H.

1981-01-01T23:59:59.000Z

83

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

$ 3,422,994.00 $ 3,422,994.00 FY2011 4,445,142.00 $ FY2012 $ 5,021,951.68 FY2013 $ 3,501,670.00 FY2014 $0 FY2015 $0 FY2016 $0 FY2017 $0 FY2018 $0 FY2019 $0 Cumulative Fee Paid $16,391,758 Wackenhut Services, Inc. DE-AC30-10CC60025 Contractor: Cost Plus Award Fee $989,000,000 Contract Period: Contract Type: January 2010 - December 2019 Contract Number: EM Contractor Fee Site: Savannah River Site Office - Aiken, SC Contract Name: Comprehensive Security Services September 2013 Fee Information Maximum Fee $55,541,496 $5,204,095 $3,667,493 $5,041,415 Minimum Fee 0 Fee Available $5,428,947 $6,326,114

84

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Energy Savers [EERE]

Wastren-EnergX Mission Support LLC Contract Number: DE-CI0000004 Contract Type: Cost Plus Award Fee 128,879,762 Contract Period: December 2009 - July 2015 Fee Information...

85

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

Period: Fee Information Maximum Fee Contract Type: Minimum Fee 91,085,394 74,386,573 Target Fee September 2002 - March 2017 Cost Plus Fixed FeeIncentive Fee 1,192,114,896...

86

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

Fee Paid 127,390,991 Contract Number: Fee Available Contract Period: Contract Type: Cost Plus Award Fee 4,104,318,749 28,500,000 31,597,837 0 39,171,018 32,871,600 EM...

87

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

- Oak Ridge, TN Contract Name: Transuranic Waste Processing Contract June, 2014 2,433,940 Cost Plus Award Fee 150,664,017 Fee Information Minimum Fee 2,039,246 Maximum Fee...

88

Total Estimated Contract Cost:) Performance Period Total Fee...  

Office of Environmental Management (EM)

Washington Closure LLC DE-AC06-05RL14655 Contractor: Contract Number: Contract Type: Cost Plus Incentive Fee 2,251,328,348 Fee Information 0 Maximum Fee 337,699,252...

89

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

Analytical Services & Testing Contract June 2014 Contractor: Contract Number: Contract Type: Advanced Technologies & Labs International Inc. DE-AC27-10RV15051 Cost Plus Award Fee...

90

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Energy Savers [EERE]

Cumulative Fee Paid 22,200,285 Wackenhut Services, Inc. DE-AC30-10CC60025 Contractor: Cost Plus Award Fee 989,000,000 Contract Period: Contract Type: January 2010 - December...

91

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Energy Savers [EERE]

& Wilcox Conversion Services, LLC Contract Number: DE-AC30-11CC40015 Contract Type: Cost Plus Award Fee EM Contractor Fee June, 2014 Site: Portsmouth Paducah Project Office...

92

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

Number: Contract Type: Contract Period: 0 Minimum Fee Maximum Fee Washington River Protection Solutions LLC DE-AC27-08RV14800 Cost Plus Award Fee 5,553,789,617 Fee Information...

93

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

2011 - September 2015 June 2014 Contractor: Contract Number: Contract Type: Idaho Treatment Group LLC DE-EM0001467 Cost Plus Award Fee Fee Information 419,202,975 Contract Period:...

94

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

FY2010 FY2011 FY2012 Fee Information Minimum Fee Maximum Fee June 2014 Contract Number: Cost Plus Incentive Fee Contractor: 3,245,814,927 Contract Period: EM Contractor Fee Site:...

95

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

0 Contractor: Bechtel National Inc. Contract Number: DE-AC27-01RV14136 Contract Type: Cost Plus Award Fee Maximum Fee* 595,123,540 Fee Available 102,622,325 10,714,819,974...

96

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

DE-AM09-05SR22405DE-AT30-07CC60011SL14 Contractor: Contract Number: Contract Type: Cost Plus Award Fee 357,223 597,797 894,699 EM Contractor Fee Site: Stanford Linear...

97

Total Estimated Contract Cost: Performance Period Total Fee Paid  

Office of Environmental Management (EM)

LLC (UCOR) DE-SC-0004645 April 29, 2011 - July 13, 2016 Contract Number: Maximum Fee Cost Plus Award Fee 16,098,142 EM Contractor Fee Site: Oak Ridge Office - Oak Ridge, TN...

98

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

Type: Cost Plus Award Fee 4,104,318,749 28,500,000 31,597,837 0 39,171,018 32,871,600 EM Contractor Fee Site: Savannah River Site Office - Aiken, SC Contract Name:...

99

Petroleum resources of Indonesia, Malaysia, Brunei, and Thailand  

SciTech Connect (OSTI)

This report presents estimates of the total recoverable crude oil from Indonesia, Malaysia, Brunei, and Thailand (Thailand is not currently an exporter of petroleum but is included because of its proximity to the South China Sea and its high petroleum potential). Also included is an analysis of potential future rates at which these resources could enter into world markets. However, this analysis does not take into account the possible supply of recoverable resources from nonconventional deposits such as tar sands and oil shale.

Not Available

1984-07-01T23:59:59.000Z

100

Reserve estimates in western basins: Unita Basin. Final report, Part III  

SciTech Connect (OSTI)

This study characterizes an extremely large gas resource located in low permeability, sandstone reservoirs of the Mesaverde group and Wasatch formation in the Uinta Basin, Utah. Total in-place resource is estimated at 395.5 Tcf. Via application of geologic, engineering and economic criteria, the portion of this resource potentially recoverable as reserves is estimated. Those volumes estimated include probable, possible and potential categories and total 3.8 Tcf as a mean estimate of recoverable gas for all plays considered in the basin. Two plays were included in this study and each was separately analyzed in terms of its tight gas resource, established productive characteristics and future reserves potential based on a constant $2/Mcf wellhead gas price scenario. A scheme has been developed to break the overall resource estimate down into components that can be considered as differing technical and economic challenges that must be overcome in order to exploit such resources; in other words, to convert those resources to economically recoverable reserves. About 82.1% of the total evaluated resource is contained within sandstones that have extremely poor reservoir properties with permeabilities considered too low for commerciality using current frac technology.

NONE

1995-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Alaska coal geology, resources, and coalbed methane potential  

SciTech Connect (OSTI)

Estimated Alaska coal resources are largely in Cretaceous and Tertiary rocks distributed in three major provinces, Northern Alaska-Slope, Central Alaska-Nenana, and Southern Alaska-Cook Inlet. Cretaceous resources, predominantly bituminous coal and lignite, are in the Northern Alaska-Slope coal province. Most of the Tertiary resources, mainly lignite to subbituminous coal with minor amounts of bituminous and semianthracite coals, are in the other two provinces. The combined measured, indicated, inferred, and hypothetical coal resources in the three areas are estimated to be 5,526 billion short tons (5,012 billion metric tons), which constitutes about 87 percent of Alaska's coal and surpasses the total coal resources of the conterminous United States by 40 percent. Coal mining has been intermittent in the Central Alaskan-Nenana and Southern Alaska-Cook Inlet coal provinces, with only a small fraction of the identified coal resource having been produced from some dozen underground and strip mines. Alaskan coals have a lower sulfur content (averaging 0.3 percent) than most coals in the conterminous United States and are within or below the minimum sulfur value mandated by the 1990 Clean Air Act amendments. Another untapped potential resource is coalbed methane estimated to total 1,000 trillion cubic feet (28 trillion cubic meters).

Romeo M. Flores; Gary D. Stricker; Scott A. Kinney

2005-11-15T23:59:59.000Z

102

Computer resources Computer resources  

E-Print Network [OSTI]

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

103

Rangeland Resource Management for Texans: Total Resource Management (Spanish)  

E-Print Network [OSTI]

animales (ganado, fauna silvestre) ? recursos financieros ? recursos humanos ? recursos f?sicos (edificios, corrales, pozos de agua) Entonces prepare inventarios m?s espec?ficos de los recursos que apoyar?an a las empresas individuales. Paso 3. Escoja...

Hanselka, C. Wayne; Fox, William E.; White, Larry D.

2004-12-22T23:59:59.000Z

104

Resource Analysis  

Broader source: Energy.gov [DOE]

Resource Analysis determines the quantity and location of resources needed to produce hydrogen. Additionally, resource analysis quantifies the cost of the resources, as a function of the amount...

105

Cell Total Activity Final Estimate.xls  

Office of Legacy Management (LM)

5.26E-02 3.99E-02 9.89E-02 1.02E-01 4.44E-02 3.63E-02 4.44E-02 2.29E+00 Sediments - Train 1 155 1.99E+08 Site soils 2.07E-02 2.05E-02 1.16E-03 8.78E-04 2.17E-03 2.23E-03...

106

Contractor: Contract Number: Contract Type: Total Estimated  

Energy Savers [EERE]

Services Support Contract Fee Information Contract Period: Cost Plus Award Fee 3,311,479,516 September 2014 May 2009 - May 2019 Mission Support Alliance, LLC DE-AC06-09RL14728...

107

Total isomerization gains flexibility  

SciTech Connect (OSTI)

Isomerization extends refinery flexibility to meet changing markets. TIP (Total Isomerization Process) allows conversion of paraffin fractions in the gasoline boiling region including straight run naptha, light reformate, aromatic unit raffinate, and hydrocrackate. The hysomer isomerization is compared to catalytic reforming. Isomerization routes are graphed. Cost estimates and suggestions on the use of other feedstocks are given. TIP can maximize gas production, reduce crude runs, and complement cat reforming. In four examples, TIP reduces reformer severity and increases reformer yield.

Symoniak, M.F.; Holcombe, T.C.

1983-05-01T23:59:59.000Z

108

The United Nations' Approach To Geothermal Resource Assessment | Open  

Open Energy Info (EERE)

United Nations' Approach To Geothermal Resource Assessment United Nations' Approach To Geothermal Resource Assessment Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: The United Nations' Approach To Geothermal Resource Assessment Details Activities (2) Areas (1) Regions (0) Abstract: Although the emphasis of United Nations' assisted geothermal projects has been on demonstrating the feasibility of producing geothermal fluids, the potential capacity of individual fields has been estimated by both the energy in place and decline curve methods. The energy in place method has been applied to three geothermal fields resulting in total resource estimates ranging from 380 to 16,800 MW-yr. The results of these studies must be considered highly tentative, however, due to inadequate reservoir data and a poor knowledge of producing mechanisms. The decline

109

Empirical Methods for Detecting Regional Trends and Other Spatial Expressions in Antrim Shale Gas Productivity, with Implications for Improving Resource Projections Using Local Nonparametric Estimation Techniques  

Science Journals Connector (OSTI)

The primary objectives of this research were to (1) investigate empirical methods for establishing regional trends in unconventional gas resources as exhibited by historical production data ... 80-acre cells) fro...

Timothy C. Coburn; Philip A. Freeman; Emil D. Attanasi

2012-03-01T23:59:59.000Z

110

Agricultural and Resource Economics Update  

E-Print Network [OSTI]

estimates of announced State Water Project (SWP) and CentralDepartment of Water Resources (DWR) and United States Bureautional water restrictions. Using data from state agencies,

2011-01-01T23:59:59.000Z

111

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

112

Marketing Resources  

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

Expand Utility Resources News & Events Expand News & Events Skip navigation links Marketing Resources Reports, Publications, and Research Utility Toolkit Informational...

113

DSM Program Development. The demand-side resource options were developed using a combination of internal engineering estimates and external consulting services. The  

E-Print Network [OSTI]

DSM Program Development. The demand-side resource options were developed using a combination analysis. Screening Criteria. The DSM screening criteria were designed to assess a program's potential taken into consideration when looking at selecting DSM programs. · Programs will be cost-effective. From

114

Oil and gas resources in the West Siberian Basin, Russia  

SciTech Connect (OSTI)

The primary objective of this study is to assess the oil and gas potential of the West Siberian Basin of Russia. The study does not analyze the costs or technology necessary to achieve the estimates of the ultimate recoverable oil and gas. This study uses reservoir data to estimate recoverable oil and gas quantities which were aggregated to the field level. Field totals were summed to a basin total for discovered fields. An estimate of undiscovered oil and gas, from work of the US Geological Survey (USGS), was added to give a total basin resource volume. Recent production decline points out Russia`s need to continue development of its discovered recoverable oil and gas. Continued exploration is required to discover additional oil and gas that remains undiscovered in the basin.

NONE

1997-12-01T23:59:59.000Z

115

Devonian shale gas resource assessment, Illinois basin  

SciTech Connect (OSTI)

In 1980 the National Petroleum Council published a resource appraisal for Devonian shales in the Appalachian, Michigan, and Illinois basins. Their Illinois basin estimate of 86 TCFG in-place has been widely cited but never verified nor revised. The NPC estimate was based on extremely limited canister off-gas data, used a highly simplified volumetric computation, and is not useful for targeting specific areas for gas exploration. In 1994 we collected, digitized, and normalized 187 representative gamma ray-bulk density logs through the New Albany across the entire basin. Formulas were derived from core analyses and methane adsorption isotherms to estimate total organic carbon (r{sup 2}=0.95) and gas content (r{sup 2}=0.79-0.91) from shale bulk density. Total gas in place was then calculated foot-by-foot through each well, assuming normal hydrostatic pressures and assuming the shale is gas saturated at reservoir conditions. The values thus determined are similar to peak gas contents determined by canister off-gassing of fresh cores but are substantially greater than average off-gas values. Greatest error in the methodology is at low reservoir pressures (or at shallow depths), however, the shale is generally thinner in these areas so the impact on the total resource estimate is small. The total New Albany gas in place was determined by integration to be 323 TCFG. Of this, 210 TCF (67%) is in the upper black Grassy Creek Shale, 72 TCF (23%) in the middle black and gray Selmier Shale, and 31 TCF (10%) in the basal black Blocher Shale. Water production concerns suggest that only the Grassy Creek Shale is likely to be commercially exploitable.

Cluff, R.M.; Cluff, S.G.; Murphy, C.M. [Discovery Group, Inc., Denver, CO (United States)

1996-12-31T23:59:59.000Z

116

Devonian shale gas resource assessment, Illinois basin  

SciTech Connect (OSTI)

In 1980 the National Petroleum Council published a resource appraisal for Devonian shales in the Appalachian, Michigan, and Illinois basins. Their Illinois basin estimate of 86 TCFG in-place has been widely cited but never verified nor revised. The NPC estimate was based on extremely limited canister off-gas data, used a highly simplified volumetric computation, and is not useful for targeting specific areas for gas exploration. In 1994 we collected, digitized, and normalized 187 representative gamma ray-bulk density logs through the New Albany across the entire basin. Formulas were derived from core analyses and methane adsorption isotherms to estimate total organic carbon (r[sup 2]=0.95) and gas content (r[sup 2]=0.79-0.91) from shale bulk density. Total gas in place was then calculated foot-by-foot through each well, assuming normal hydrostatic pressures and assuming the shale is gas saturated at reservoir conditions. The values thus determined are similar to peak gas contents determined by canister off-gassing of fresh cores but are substantially greater than average off-gas values. Greatest error in the methodology is at low reservoir pressures (or at shallow depths), however, the shale is generally thinner in these areas so the impact on the total resource estimate is small. The total New Albany gas in place was determined by integration to be 323 TCFG. Of this, 210 TCF (67%) is in the upper black Grassy Creek Shale, 72 TCF (23%) in the middle black and gray Selmier Shale, and 31 TCF (10%) in the basal black Blocher Shale. Water production concerns suggest that only the Grassy Creek Shale is likely to be commercially exploitable.

Cluff, R.M.; Cluff, S.G.; Murphy, C.M. (Discovery Group, Inc., Denver, CO (United States))

1996-01-01T23:59:59.000Z

117

Abundance of demersal sh resources in the Persian Gulf and Oman Sea  

E-Print Network [OSTI]

Abundance of demersal ¢sh resources in the Persian Gulf and Oman Sea T. Valinassab*P , R in the Persian Gulf and Oman Sea. Samples were taken at a total of 316 trawl stations selected following a strati demersal ¢sh biomass was estimated to be approximately 73,000 tonnes in Persian Gulf waters

Pierce, Graham

118

Barge Truck Total  

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

Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

119

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

120

Teacher Resource Center: Curricular Resources  

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

Curricular Resources Curricular Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides workshops and consultations on Mathematics and Science Curriculum development. Here are a list of resources for educators. See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Key Science Resources for Curriculum Planning Key Science Resources for Curriculum Planning

Note: This page contains sample records for the topic "total resource estimation" 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

Weekly Coal Production Estimation Methodology  

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

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

122

Wind Resource Maps (Postcard)  

SciTech Connect (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

123

Post-2014 Resource Allocations  

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

Post-2014 Resource Allocations Post-2014 Resource Allocations On December 17, 2010, Western Area Power Administration's Rocky Mountain Region published its Post-2014 Resource Pool-Loveland Area Projects (LAP), Allocation Procedures and Call for Applications (75 FR 78988). Through the Post-2014 Resource Pool (Resource Pool), Western will allocate up to 1 percent of the LAP long-term firm hydroelectric resource available as of October 1, 2014, that is estimated to be approximately 6.9 megawatts for the summer season and 6.1 megawatts for the winter season. The Resource Pool will be created by reducing existing customers' allocations by up to 1 percent. A public information forum was held on February 2, 2011, prior to the application deadline, which was March 4, 2011. Of the seven applications received, Western determined that six of the applicants met the Resource Pool General Eligibility Criteria. Western published the Resource Pool proposed power allocation and initiated a public comment period in the Federal Register (76 FR 45551, July 29, 2011). A public comment forum on the proposed power allocation was held August 25, 2011, and public comments were due to Western by September 12, 2011. There were no comments received during the public comment period.

124

Mapping and Assessment of the United States Ocean Wave Energy Resource |  

Open Energy Info (EERE)

450 450 Varnish cache server Mapping and Assessment of the United States Ocean Wave Energy Resource Dataset Summary Description This project estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables densities within a few kilometers of a linear array, even for fixed terminator devices.

125

4 - Coal resources and reserves  

Science Journals Connector (OSTI)

Abstract: Coal resources still make up a significant proportion of the world’s energy supplies. Coal resources are estimated to be 860 billion tonnes. These resources are geographically well distributed and current production provides fuel for 29% of the world’s primary energy consumption. The classification of coal resources and reserves has been redefined in recent years, with the standards and codes of practice adopted by the principal coal-producing countries being equated on a global basis. Details of the principal classifications are given, together with their international equivalents. Reporting of resources and reserves plus methods of calculation are also given, together with recent assessments of global coal reserves.

L.P. Thomas

2013-01-01T23:59:59.000Z

126

Category:NEPA Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Category of resources that could be impacted by activities related to geothermal development. Pages in category "NEPA Resources" The following 39 pages are in this category, out of 39 total. A Access and Transportation Air Quality Areas of Critical Environmental Concern B BLM Sensitive Species C Candidate and Special Status Species Cultural Resources E Economic Values Environmental Justice F Fire Resources Fisheries Resources Floodplains G Geology and Minerals I Induced Seismicity Impact I cont. Intentional Destructive Acts Invasive, Nonnative Species L Lands and Realty Lands with Wilderness Characteristics M Migratory Birds N Native American Concerns Noise P Paleontological Resources Prime or Unique Farmlands Public Health and Safety

127

Stratabound geothermal resources in North Dakota and South Dakota  

SciTech Connect (OSTI)

Analysis of all geothermal aquifers in North Dakota and South Dakota indicates an accessible resource base of approximately 21.25 exajoules (10{sup 18} J = 1 exajoule, 10{sup 18} J{approximately}10{sup 15} Btu=1 quad) in North Dakota and approximately 12.25 exajoules in South Dakota. Resource temperatures range from 40{degree}C at depths of about 700 m to 150{degree}C at 4500 m. This resource assessment increases the identified accessible resource base by 31% over the previous assessments. These results imply that the total stratabound geothermal resource in conduction-dominated systems in the United States is two-to-three times greater than some current estimates. The large increase in the identified accessible resource base is primarily due to inclusion of all potential geothermal aquifers in the resource assessment and secondarily due to the expanded data base compiled in this study. These factors were interdependent in that the extensive data base provided the means for inclusion of all potential geothermal aquifers in the analysis. Previous assessments included only well-known aquifer systems and were limited by the amount of available data. 40 refs., 16 figs., 8 tabs.

Gosnold, W.D. Jr.

1991-08-01T23:59:59.000Z

128

Quantitative maps of groundwater resources in Africa  

Science Journals Connector (OSTI)

In Africa, groundwater is the major source of drinking water and its use for irrigation is forecast to increase substantially to combat growing food insecurity. Despite this, there is little quantitative information on groundwater resources in Africa, and groundwater storage is consequently omitted from assessments of freshwater availability. Here we present the first quantitative continent-wide maps of aquifer storage and potential borehole yields in Africa based on an extensive review of available maps, publications and data. We estimate total groundwater storage in Africa to be 0.66 million km3 (0.36–1.75 million km3). Not all of this groundwater storage is available for abstraction, but the estimated volume is more than 100 times estimates of annual renewable freshwater resources on Africa. Groundwater resources are unevenly distributed: the largest groundwater volumes are found in the large sedimentary aquifers in the North African countries Libya, Algeria, Egypt and Sudan. Nevertheless, for many African countries appropriately sited and constructed boreholes can support handpump abstraction (yields of 0.1–0.3 l s?1), and contain sufficient storage to sustain abstraction through inter-annual variations in recharge. The maps show further that the potential for higher yielding boreholes ( > 5 l s?1) is much more limited. Therefore, strategies for increasing irrigation or supplying water to rapidly urbanizing cities that are predicated on the widespread drilling of high yielding boreholes are likely to be unsuccessful. As groundwater is the largest and most widely distributed store of freshwater in Africa, the quantitative maps are intended to lead to more realistic assessments of water security and water stress, and to promote a more quantitative approach to mapping of groundwater resources at national and regional level.

A M MacDonald; H C Bonsor; B É Ó Dochartaigh; R G Taylor

2012-01-01T23:59:59.000Z

129

Geothermal Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Geothermal Resources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermal Resources There are a number of different resource potential estimates that have been developed. A few are listed below. NREL Geothermal Favorability Map NREL Supply Characterization and Representation In 2011, NREL conducted an analysis to characterize and represent the supply of electricity generation potential from geothermal resources in the United States. The principal products were: Capacity Potential Estimates - quantitative estimates of the potential electric capacity of U.S. geothermal resources

130

Cost Estimating Handbook for Environmental Restoration  

SciTech Connect (OSTI)

Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

NONE

1990-09-01T23:59:59.000Z

131

Review of Regional Load and Resource Information A Report to Resource Adequacy Steering Committee  

E-Print Network [OSTI]

that provides an opportunity to review basic load and resource data used in the annual Resource Adequacy resource information are aligned with other regional estimates of the same information. The load data. As for the generating resources comparison, the data for each power project was reviewed to ensure the completeness

132

Resources & Links  

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

Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies Smart grid fact sheet Department of...

133

TotalView Parallel Debugger at NERSC  

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

Totalview Totalview Totalview Description TotalView from Rogue Wave Software is a parallel debugging tool that can be run with up to 512 processors. It provides both X Windows-based Graphical User Interface (GUI) and command line interface (CLI) environments for debugging. The performance of the GUI can be greatly improved if used in conjunction with free NX software. The TotalView documentation web page is a good resource for learning more about some of the advanced TotalView features. Accessing Totalview at NERSC To use TotalView at NERSC, first load the TotalView modulefile to set the correct environment settings with the following command: % module load totalview Compiling Code to Run with TotalView In order to use TotalView, code must be compiled with the -g option. We

134

Hydropower Resource Assessment and Characterization | Department...  

Energy Savers [EERE]

Assessment and Characterization Hydropower Resource Assessment and Characterization The Water Power Program has released reports and maps that assess the total technically...

135

Geothermal Resources Assessment In Hawaii | Open Energy Information  

Open Energy Info (EERE)

Assessment In Hawaii Assessment In Hawaii Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geothermal Resources Assessment In Hawaii Details Activities (78) Areas (14) Regions (0) Abstract: The Hawaii Geothermal Resources Assessment Program was initiated in 1978. The preliminary phase of this effort identified 20 Potential Geothermal Resource Areas (PGRAs) using available geological, geochemical and geophysical data. The second phase of the Assessment Program undertook a series of field studies, utilizing a variety of geothermal exploration techniques. A total of 15 PGRAs on four of the five major islands in the Hawaiian chain were subject to at least a preliminary field analysis. The results of these studies have allowed us to attempt an estimate of the

136

Pathway and Resource Overview  

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

Pathway and Resource Overview Pathway and Resource Overview Delivering Renewable Hydrogen Workshop - A Focus on Near-Term Applications Mark F. Ruth November 16, 2009 Palm Springs, CA NREL/PR-6A1-47108 National Renewable Energy Laboratory Innovation for Our Energy Future Definition and Presentation Outline Hydrogen pathway analysis is analysis of the total levelized cost (including return on investment), well-to- wheels (WTW) energy use, and WTW emissions for hydrogen production, delivery, and distribution pathways. This presentation focuses on * Pathway analyses using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology

137

Energy Efficiency Resource Standards Resources  

Broader source: Energy.gov [DOE]

Energy efficiency resource standards mandate a quantified energy efficiency goal for an energy provider or jurisdiction within a predetermined timeframe.

138

Mapping and Assessment of the United States Ocean Wave Energy Resource  

SciTech Connect (OSTI)

This project estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration�¢����s (NOAA�¢����s) National Centers for Environmental Prediction. For total resource estimation, wave power density in terms of kilowatts per meter is aggregated across a unit diameter circle. This approach is fully consistent with accepted global practice and includes the resource made available by the lateral transfer of wave energy along wave crests, which enables wave diffraction to substantially reestablish wave power densities within a few kilometers of a linear array, even for fixed terminator devices. The total available wave energy resource along the U.S. continental shelf edge, based on accumulating unit circle wave power densities, is estimated to be 2,640 TWh/yr, broken down as follows: 590 TWh/yr for the West Coast, 240 TWh/yr for the East Coast, 80 TWh/yr for the Gulf of Mexico, 1570 TWh/yr for Alaska, 130 TWh/yr for Hawaii, and 30 TWh/yr for Puerto Rico. The total recoverable wave energy resource, as constrained by an array capacity packing density of 15 megawatts per kilometer of coastline, with a 100-fold operating range between threshold and maximum operating conditions in terms of input wave power density available to such arrays, yields a total recoverable resource along the U.S. continental shelf edge of 1,170 TWh/yr, broken down as follows: 250 TWh/yr for the West Coast, 160 TWh/yr for the East Coast, 60 TWh/yr for the Gulf of Mexico, 620 TWh/yr for Alaska, 80 TWh/yr for Hawaii, and 20 TWh/yr for Puerto Rico.

Paul T. Jacobson; George Hagerman; George Scott

2011-12-01T23:59:59.000Z

139

Variations of Total Domination  

Science Journals Connector (OSTI)

The study of locating–dominating sets in graphs was pioneered by Slater [186, 187...], and this concept was later extended to total domination in graphs. A locating–total dominating set, abbreviated LTD-set, in G

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

140

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

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


141

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

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

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

142

Raw materials resources  

Science Journals Connector (OSTI)

Mineral resources continue to play an essential role in the world economy: industrial economies depend on the availability of sources of energy and metals; the wealth of some countries is liable to fluctuate in response to variations over time in the price of the resources extracted. Predictions made early in the 1970s of exhaustion of resources of important minerals, e.g. lead and zinc, have proved to be mistaken, and from the viewpoint of the late-1980s it seems likely that total world consumption of mineral resources will continue to rise. A continuation is expected of the trend for an increased proportion of ores being converted into end-products in the country of extraction. In the highly industrialized countries the importance of mineral resources will tend to decrease relative to total manufactured goods and services, and the demand for imported minerals will decrease as other minerals are substituted and more metals are recycled. Developing countries which export raw minerals will be adversely affected because the prices of the minerals that they sell will rise more slowly than the prices for manufactured goods that they import.

Martin Kursten; Georg Bluemel; Lothar Lahner; Helmut Schmidt

1990-01-01T23:59:59.000Z

143

Resource assessment/commercialization planning meeting  

SciTech Connect (OSTI)

The U.S. Department of Energy, Division of Geothermal Energy and Division of Geothermal Resource Management, sponsored a Resource Assessment/Commercialization Planning meeting in Salt Lake City on January 21-24, 1980. The meeting included presentations by state planning and resource teams from all DOE regions. An estimated 130 people representing federal, state and local agencies, industry and private developers attended.

None

1980-01-24T23:59:59.000Z

144

Additional Resources  

Broader source: Energy.gov [DOE]

The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These...

145

Preliminary assessment of the velocity pump reaction turbine as a geothermal total-flow expander  

SciTech Connect (OSTI)

A preliminary evaluation was made of the Velocity Pump Reaction Turbine (VPRT) as a total flow expander in a geothermal-electric conversion cycle. Values of geofluid effectiveness of VPRT systems were estimated for conditions consisting of: a 360/sup 0/ geothermal resource, 60/sup 0/F wet-bulb ambient temperature, zero and 0.003 mass concentrations of dissolved noncondensible gas in the geofluid, 100 and 120/sup 0/F condensing temperatures, and engine efficiencies ranging from 0.4 to 1.0. Achievable engine efficiencies were estimated to range from 0.47 to 0.77, with plant geofluid effectiveness values ranging as high as 9.5 Watt hr/lbm geofluid for the 360/sup 0/F resource temperature. This value is competitive with magnitudes of geofluid effectiveness projected for advanced binary plants, and is on the order of 40% higher than estimates for dual-flash steam and other total flow systems reviewed. Because of its potentially high performance and relative simplicity, the VPRT system appears to warrant further investigation toward its use in a well-head geothermal plant.

Demuth, O.J.

1984-06-01T23:59:59.000Z

146

NREL: Renewable Resource Data Center - Wind Resource Information  

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

Wind Resource Information Wind Resource Information Photo of five wind turbines at the Nine Canyon Wind Project. The Nine Canyon Wind Project in Benton County, Washington, includes 37 wind turbines and 48 MW of capacity. Detailed wind resource information can be found on NREL's Wind Research Web site. This site provides access to state and international wind resource maps. Wind Integration Datasets are provided to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. In addition, RReDC offers Meteorological Field Measurements at Potential and Actual Wind Turbine Sites and a Wind Energy Resource Atlas of the United States. Wind resource maps are also available from the NREL Dynamic Maps, GIS Data, and Analysis Tools Web site.

147

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

148

Total Space Heat-  

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

Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

149

Project Functions and Activities Definitions for Total Project Cost  

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

This chapter provides guidelines developed to define the obvious disparity of opinions and practices with regard to what exactly is included in total estimated cost (TEC) and total project cost (TPC).

1997-03-28T23:59:59.000Z

150

Category:State Wind Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:State Wind Resources Jump to: navigation, search Category containing State Wind Resources Pages in category "State Wind Resources" The following 100 pages are in this category, out of 100 total. A Alabama/Wind Resources Alabama/Wind Resources/Full Version Alaska/Wind Resources Alaska/Wind Resources/Full Version Arizona/Wind Resources Arizona/Wind Resources/Full Version Arkansas/Wind Resources Arkansas/Wind Resources/Full Version C California/Wind Resources California/Wind Resources/Full Version Colorado/Wind Resources Colorado/Wind Resources/Full Version

151

"Table A2. Total Consumption of LPG, Distillate Fuel Oil,...  

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

. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region, Industry Group, and Selected" " Industries, 1991" " (Estimates in...

152

NREL: Energy Analysis: Resource Assessment  

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

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

153

Mobile Resources  

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

Mobile Resources Mobile Resources Mobile Resources Have a mobile device? Find tips and information here. Questions? 505-667-5809 Email For information call the Service Desk at (505) 667-5809 or email mobilelibrary@lanl.gov The following resources are optimized for mobile devices or have mobile apps available for download. Resource Available App Mobile Website Available off Yellow Network with Pairing or Login Additional Information AACR Journals Apple Yes, the Journals are optimized for mobile viewing. Not the whole AACR site. Instructional pdf on pairing with voucher ACS Apple Android No American Institute of Physics Apple No American Mathematical Society No Yes Instructions for pairing mobile devices, tablets, laptops, etc. American Physical Society No Annual Reviews No Yes Instructions for pairing with mobile device available on website.

154

Online Resources  

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

Online Resources Online Resources       General Information Discovering New Physics - Fermilab: where physicists unravel the mysteries of the universe Electromagnetic Simulation: Charged Particle Motion in E/M Field (by Fu-Kwun Hwang, National Taiwan Normal University) Fermilabyrinth - Online versions of exhibits at the Lederman Science Center Fermilab Virtual Tour - Photos of accelerators and detectors with figure captions International Particle Physics Outreach Group (from CERN) Fermilab Homepage - Links to general information, experiments and projects (Fermilab at Work), particle physics (inquiring minds), resources for students (education) and more High-Energy Physics Acronyms - (from Fermilab) Particle Physics - a list of links from the American Physical Society)

155

Center Resources  

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

Resources for Planning Center Activities Resources for Planning Center Activities       QuarkNet at Work - Resources Home QuarkNet is a teacher professional development effort funded by the National Science Foundation and the US Department of Energy. Teachers work on particle physics experiments during a summer and join a cadre of scientists and teachers working to introduce some aspects of their research into their classrooms. This allows tomorrow's particle physicists to peek over the shoulder of today's experimenters. These resources are available for lead teachers and mentors at Quartnet Centers as they design activities for associate teacher workshops and follow-on activities. Important Findings from Previous Years Mentor Tips Associate Teacher Institute Toolkit

156

Tools & Resources: Resource Directory  

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

Resource Directory Resource Directory The guidance documents and reports below have been used by Better Buildings Neighborhood Program partners to build their programs and guide them to early successes. The tools and calculators can be used by homeowners, business owners, and program designers to help determine energy savings and other benefits associated with energy efficiency upgrades. Guidance Documents and Reports Background Program Evaluation Program Updates and Lessons Learned Program Design Marketing and Driving Demand Financing and Incentives Workforce Development Partnering with Utilities Technical Resources Tools and Calculators For Homes For Commercial Buildings Emissions and Equivalency Calculators Guidance Documents and Reports Background Recovery Through Retrofit Report

157

Indicators for resources and resource-efficiency: a Danish perspective  

Science Journals Connector (OSTI)

The specific material flows and use of energy and land, which cause severe environmental and health problems in Denmark, are delimited by a risk assessment. Resource-efficiency is defined in terms of material flows and is estimated to be 0.07 without unused flows and 0.04 with unused flows for Denmark, 1990. It is shown that the path to both a global sustainable environment and welfare goes through increasing resource-efficiency, increasing lifetime of products, detoxification, dematerialisation of welfare and increasing quality and quantity of ecosystems. An indicator system for Denmark consisting of a pyramid structured by formal indicators is proposed. At the top of the indicator pyramid are indicators for aggregated material and energy flows, almost unaffected nature and the flows of dangerous substances. The formal indicators represent flows of resources and emissions, resources and emissions related to ecological space, economic turnover and number of inhabitants as well as resource efficiency, lifetime of materials and material welfare.

Karsten Krogh Andersen

2003-01-01T23:59:59.000Z

158

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

159

A New Global Unconventional Natural Gas Resource Assessment  

E-Print Network [OSTI]

. Very little is known publicly about technically recoverable unconventional gas resource potential on a global scale. Driven by a new understanding of the size of gas shale resources in the United States, we estimated original gas in place (OGIP...

Dong, Zhenzhen

2012-10-19T23:59:59.000Z

160

Optimal Resource Adjustment Times in product development project  

E-Print Network [OSTI]

duration. This research suggested a way of improving project performance with resource allocation policies. Two managerial decisions were considered: 1) proportional or foresighted resource demand estimates; and 2) the delay of management, and delay...

Lee, Zee Woon

2012-06-07T23:59:59.000Z

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


161

Wave Energy Resource Analysis for Use in Wave Energy Conversion  

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

162

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

163

Total Precipitable Water  

SciTech Connect (OSTI)

The simulation was performed on 64K cores of Intrepid, running at 0.25 simulated-years-per-day and taking 25 million core-hours. This is the first simulation using both the CAM5 physics and the highly scalable spectral element dynamical core. The animation of Total Precipitable Water clearly shows hurricanes developing in the Atlantic and Pacific.

None

2012-01-01T23:59:59.000Z

164

Total Sustainability Humber College  

E-Print Network [OSTI]

1 Total Sustainability Management Humber College November, 2012 SUSTAINABILITY SYMPOSIUM Green An Impending Global Disaster #12;3 Sustainability is NOT Climate Remediation #12;Our Premises "We cannot, you cannot improve it" (Lord Kelvin) "First rule of sustainability is to align with natural forces

Thompson, Michael

165

Liberia-NREL Biomass Resource Assessment | Open Energy Information  

Open Energy Info (EERE)

Liberia-NREL Biomass Resource Assessment Liberia-NREL Biomass Resource Assessment Jump to: navigation, search Logo: Liberia Biomass Resource Assessment Name Liberia Biomass Resource Assessment Agency/Company /Organization National Renewable Energy Laboratory Partner U.S. Agency for International Development Sector Energy Focus Area Biomass Topics Resource assessment, Background analysis Resource Type Dataset, Maps, Software/modeling tools Website http://www.nrel.gov/docs/fy09o Country Liberia Western Africa References Assessment of Biomass Resources in Liberia [1] Abstract This study was conducted to estimate the biomass resources currently and potentially available in the country and evaluate their contribution for power generation and the production of transportation fuels

166

Estimating Radiation Risk from Total Effective Dose Equivalent...  

National Nuclear Security Administration (NNSA)

0CTc itt 0 Tw (an) Tj 10.3 0 Tw (an) Tj 10.3 0 Tw (an) Tj 10.3 a ( )75 Tw5ndj 5.25 0 TD F1 10.5 Tf -0.3 33twithsj 24 0 .75059 0 TD(FactorsTw ( 32 ) Tj 5.25 0 TD F1 10.5 Tf...

167

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

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

168

Resource Center | Building Energy Codes Program  

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

Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Resource Center The U.S. Department of Energy (DOE), through the Building Energy Codes Program (BECP) Resource Center, provides a comprehensive collection of information, resources, and technical assistance designed to answer questions and address issues related to energy codes. This includes frequently asked questions, publications, model adoption policies, compliance software and tools, and training/eLearning modules based on best practices. BECP's team of building energy codes experts is also available to answer specific questions submitted through the web-based help desk.

169

Development of an improved methodology to assess potential unconventional gas resources in North America  

E-Print Network [OSTI]

(USGS) has assessed the amount of unconventional gas resources in North America, and its estimates are used by other government agencies as the basis for their resource estimates. While the USGS employs a probabilistic methodology, it is apparent from...

Salazar Vanegas, Jesus

2007-09-17T23:59:59.000Z

170

Stakeholder Engagement and Outreach: Wind Resource Potential  

Wind Powering America (EERE)

Wind Resource Potential Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Potential State Wind Resource Potential Tables Find state wind resource potential tables in three versions: Microsoft Excel 2007, 2003, and Adobe Acrobat PDF. 30% Capacity Factor at 80-Meters Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF Additional 80- and 100-Meter Wind Resource Potential Tables Microsoft 2007 Microsoft 2003 Adobe Acrobat PDF The National Renewable Energy Laboratory (NREL) estimated the windy land area and wind energy potential for each state using AWS Truepower's gross capacity factor data. This provides the most up to date estimate of how wind energy can support state and national energy needs. The table lists the estimates of windy land area with a gross capacity of

171

Coalbed methane resource potential of the Piceance Basin, northwestern Colorado  

SciTech Connect (OSTI)

As predicted, from an evolving coalbed methane producibility model, prolific coalbed methane production is precluded in the Piceance Basin by the absence of coal bed reservoir continuity and dynamic ground-water flow. The best potential for production may lie at the transition zone from hydropressure to hydrocarbon overpressure and/or in conventional traps basinward of where outcrop and subsurface coals are in good reservoir and hydraulic communication. Geologic and hydrologic synergy among tectonic and structural setting, depositional systems and coal distribution, coal rank, gas content, permeability and hydrodynamics are the controls that determine the coalbed methane resource potential of the Piceance Basin. Within the coal-bearing Upper Cretaceous Williams Fork Formation, the prime coalbed methane target, reservoir heterogeneity and thrust faults cause coal beds along the Grand Hogback and in the subsurface to be in modest to poor reservoir and hydraulic communication, restricting meteoric ground water recharge and basinward flow. Total subsurface coalbed methane resources are still estimated to be approximately 99 Tcf (3.09 Tm{sup 3}), although coalbed methane resource estimates range between 80 (2.49 Tm{sup 3}) and 136 Tcf (4.24 Tm{sup 3}), depending on the calculation method used. To explore for high gas contents or fully gas-saturated coals and consequent high productivity in the Piceance Basin, improved geologic and completion technologies including exploration and development for migrated conventionally and hydrodynamically trapped gases, in-situ generated secondary biogenic gases, and solution gases will be required.

Tyler, R.; Scott, A.R.; Kaiser, W.R. [Univ. of Texas, Austin, TX (United States)

1996-06-01T23:59:59.000Z

172

Teacher Resource Center: Fermilab Web Resources  

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

Fermilab Web Resources Fermilab Web Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The following materials are on the webserver. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Photographs and video clips from Fermilab's Visual Media Services

173

United States (48 Contiguous States) Wind Resource Potential...  

Wind Powering America (EERE)

Rated Capacity Above Indicated CF (GW) United States (48 Contiguous States) - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates...

174

NREL: Wind Research - Wind Resource Assessment  

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

Wind Resource Assessment Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and offshore wind resources in the United States. Correct estimation of the energy available in the wind can make or break the economics of wind plant development. Wind mapping and validation techniques developed at the National Wind Technology Center (NWTC) along with collaborations with U.S. companies have produced high-resolution maps of the United States that provide wind plant developers with accurate estimates of the wind resource potential. State Wind Maps International Wind Resource Maps Dynamic Maps, GIS Data, and Analysis Tools Due to the existence of special use airspace (SUA) (i.e., military airspace

175

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

18,000 Rated Capacity Above Indicated CF (GW) United States - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential...

176

Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method,  

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

Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Underground - Minable Coal Surface - Minable Coal Total Coal-Resource State Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base

177

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet)  

SciTech Connect (OSTI)

The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques to triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009.

Not Available

2011-07-01T23:59:59.000Z

178

Geothermal resources of Montana  

SciTech Connect (OSTI)

The Montana Bureau of Mines and Geology has updated its inventory of low and moderate temperature resources for the state and has assisted the Oregon Institute of Technology - GeoHeat Center and the University of Utah Research Institute in prioritizing and collocating important geothermal resource areas. The database compiled for this assessment contains information on location, flow, water chemistry, and estimated reservoir temperatures for 267 geothermal well and springs in Montana. For this assessment, the minimum temperature for low-temperature resource is defined as 10{degree} C above the mean annual air temperature at the surface. The maximum temperature for a moderate-temperature resource is defined as greater than 50{degree} C. Approximately 12% of the wells and springs in the database have temperatures above 50{degree} C, 17% are between 30{degree} and 50{degree} C, 29% are between 20{degree} and 30{degree}C, and 42% are between 10{degree} and 20{degree} C. Low and moderate temperature wells and springs can be found in nearly all areas of Montana, but most are in the western third of the state. Information sources for the current database include the MBMG Ground Water Information Center, the USGS statewide database, the USGS GEOTHERM database, and new information collected as part of this program. Five areas of Montana were identified for consideration in future investigations of geothermal development. The areas identified are those near Bozeman, Ennis, Butte, Boulder, and Camas Prairie. These areas were chosen based on the potential of the resource and its proximity to population centers.

Metesh, J.

1994-06-01T23:59:59.000Z

179

Image Resources  

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

Mosaic of earth and sky images Mosaic of earth and sky images Image Resources Free image resources covering energy, environment, and general science. Here are some links to energy- and environment-related photographic databases. Berkeley Lab Photo Archive Berkeley Lab's online digital image collection. National Science Digital Library (NSDL) NSDL is the Nation's online library for education and research in science, technology, engineering, and mathematics. The World Bank Group Photo Library A distinctive collection of over 11,000 images that illustrate development through topics such as Agriculture, Education, Environment, Health, Trade and more. Calisphere Compiles the digital collections of libraries, museums, and cultural heritage organizations across California, and organizes them by theme, such

180

Teacher Resources  

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

Resources Resources Teacher Programs JLab Science Activities for Teachers - An afternoon science program for 5th, 6th and 8th grade teachers. [Program Dates: September 2013 - May 2014] Teacher Night at Jefferson Lab - Teacher Night will be held on April 2nd, 2014. Please sign-up by March 19th, 2014! Education Events Physics Fest - Cryogenics, electricity and more! Reserve your space today! Science Series - Science lectures for high school and middle school students! [Video Archive] Education Events Mailing List - An electronic mailing list to keep you informed of Jefferson Lab's public education events! Workshops and Local Groups The Virginia Section of the American Nuclear Society - Single and multi-day workshops on the science of nuclear energy and radiation.

Note: This page contains sample records for the topic "total resource estimation" 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

Primer on gas integrated resource planning  

SciTech Connect (OSTI)

This report discusses the following topics: gas resource planning: need for IRP; gas integrated resource planning: methods and models; supply and capacity planning for gas utilities; methods for estimating gas avoided costs; economic analysis of gas utility DSM programs: benefit-cost tests; gas DSM technologies and programs; end-use fuel substitution; and financial aspects of gas demand-side management programs.

Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S. [Lawrence Berkeley Lab., CA (United States)

1993-12-01T23:59:59.000Z

182

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

183

Indiana 50 M Wind Resource  

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

Indiana 50 M Wind Resource Indiana 50 M Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: March, 2004 Title: Indiana 50 M Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

184

Ohio 50 m Wind Resource  

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

Ohio 50 m Wind Resource Ohio 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: May, 2004 Title: Ohio 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants. Online_Linkage:

185

Missouri 50 m Wind Resource  

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

50 m Wind Resource 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: November, 2004 Title: Missouri 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

186

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

187

Determination of Total Solids in Biomass and Total Dissolved...  

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

Total Solids in Biomass and Total Dissolved Solids in Liquid Process Samples Laboratory Analytical Procedure (LAP) Issue Date: 3312008 A. Sluiter, B. Hames, D. Hyman, C. Payne,...

188

Resource descriptions, ontology, and resource discovery  

Science Journals Connector (OSTI)

Resource discovery systems may assist scientists in the selection of bioinformatics resources suitable to implement scientific workflows. In this paper we address several problems related to resource discovery. They include resource publication formats, resource registration, and syntactic vs. semantic discovery. We analyse the BioMoby registry and present an algorithm that curates the BioMoby hierarchy into an ontology for use in semantic-driven resource discovery.

Zoe Lacroix; Maliha Aziz

2010-01-01T23:59:59.000Z

189

Estimating SCR installation costs  

SciTech Connect (OSTI)

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

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

2006-01-15T23:59:59.000Z

190

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...

191

ResourceResource AdequacyAdequacy  

E-Print Network [OSTI]

resources (diesel generators, etc.) Standby Resources Type 2 Buyback provisions on load Modeled in Post Review final assessment Council Power Review final Power Council Approval 7 #12;

192

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

193

2004 Power Marketing Plan - Base Resource Overview  

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

Contract Overview Contract Overview 08/16/00 1 of 3 2004 Power Marketing Plan Base Resource Contract Overview The following summarizes the main provisions of the Base Resource Contract: Section 4 (Termination of amendment for right to purchase after 2004): * Terminates the existing contract amendments that provide for a customer's right to purchase power from Western after 2004. Execution of the Base Resource contract sustains a customer's right to purchase after 2004. Section 5 (Effective date and term of contract): Provides for: * Base Resource contracts to be effective upon execution by Western. * Base Resource contracts to remain in effect until December 31, 2024, subject to prior termination. * Service to begin under the Base Resource contract on January 1, 2005. Section 7 (Base Resource estimates and availability forecast):

194

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

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

195

Resources to reserves  

Science Journals Connector (OSTI)

The resource bases and resources of the various energy forms of natural resources have been discussed. It is now opportune to consider the transformation of resources to reserves. This is effected by explorati...

D. C. Ion

1980-01-01T23:59:59.000Z

196

Thermodynamics of resource recycling  

Science Journals Connector (OSTI)

Thermodynamics of resource recycling ... The author applies principles of thermodynamics to analyze the efficiency of resource recycling. ...

W. B. Hauserman

1988-01-01T23:59:59.000Z

197

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

198

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

199

Assssment and Mapping of the Riverine Hydrokinetic Resource in the Continental United States  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) funded the Electric Power Research Institute and its collaborative partners, University of Alaska ? Anchorage, University of Alaska ? Fairbanks, and the National Renewable Energy Laboratory, to provide an assessment of the riverine hydrokinetic resource in the continental United States. The assessment benefited from input obtained during two workshops attended by individuals with relevant expertise and from a National Research Council panel commissioned by DOE to provide guidance to this and other concurrent, DOE-funded assessments of water based renewable energy. These sources of expertise provided valuable advice regarding data sources and assessment methodology. The assessment of the hydrokinetic resource in the 48 contiguous states is derived from spatially-explicit data contained in NHDPlus ?a GIS-based database containing river segment-specific information on discharge characteristics and channel slope. 71,398 river segments with mean annual flow greater than 1,000 cubic feet per second (cfs) mean discharge were included in the assessment. Segments with discharge less than 1,000 cfs were dropped from the assessment, as were river segments with hydroelectric dams. The results for the theoretical and technical resource in the 48 contiguous states were found to be relatively insensitive to the cutoff chosen. Raising the cutoff to 1,500 cfs had no effect on estimate of the technically recoverable resource, and the theoretical resource was reduced by 5.3%. The segment-specific theoretical resource was estimated from these data using the standard hydrological engineering equation that relates theoretical hydraulic power (Pth, Watts) to discharge (Q, m3 s-1) and hydraulic head or change in elevation (??, m) over the length of the segment, where ? is the specific weight of water (9800 N m-3): ??? = ? ? ?? For Alaska, which is not encompassed by NPDPlus, hydraulic head and discharge data were manually obtained from Idaho National Laboratory?s Virtual Hydropower Prospector, Google Earth, and U.S. Geological Survey gages. Data were manually obtained for the eleven largest rivers with average flow rates greater than 10,000 cfs and the resulting estimate of the theoretical resource was expanded to include rivers with discharge between 1,000 cfs and 10,000 cfs based upon the contribution of rivers in the latter flow class to the total estimate in the contiguous 48 states. Segment-specific theoretical resource was aggregated by major hydrologic region in the contiguous, lower 48 states and totaled 1,146 TWh/yr. The aggregate estimate of the Alaska theoretical resource is 235 TWh/yr, yielding a total theoretical resource estimate of 1,381 TWh/yr for the continental US. The technically recoverable resource in the contiguous 48 states was estimated by applying a recovery factor to the segment-specific theoretical resource estimates. The recovery factor scales the theoretical resource for a given segment to take into account assumptions such as minimum required water velocity and depth during low flow conditions, maximum device packing density, device efficiency, and flow statistics (e.g., the 5 percentile flow relative to the average flow rate). The recovery factor also takes account of ?back effects? ? feedback effects of turbine presence on hydraulic head and velocity. The recovery factor was determined over a range of flow rates and slopes using the hydraulic model, HEC-RAS. In the hydraulic modeling, presence of turbines was accounted for by adjusting the Manning coefficient. This analysis, which included 32 scenarios, led to an empirical function relating recovery factor to slope and discharge. Sixty-nine percent of NHDPlus segments included in the theoretical resource estimate for the contiguous 48 states had an estimated recovery factor of zero. For Alaska, data on river slope was not readily available; hence, the recovery factor was estimated based on the flow rate alone. Segment-specific estimates of the theoretical resource were multiplied by the corresponding recovery factor to estimate

Jacobson, Paul T. [Electric Power Research Institute; Ravens, Thomas M. [University of Alaska Anchorage; Cunningham, Keith W. [University of Alaska Fairbanks; Scott, George [National Renewable Energy Laboratory

2012-12-14T23:59:59.000Z

200

WATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network [OSTI]

and energy are inextricably bound. Energy is consumed and sometimes produced by every form of water resourcesWATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE 212 AGRICULTURAL ENGINEERING BUILDING of the National Environmental Policy Act of 1969, water resources professionals squarely faced the fact that water

Nebraska-Lincoln, University of

Note: This page contains sample records for the topic "total resource estimation" 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

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect (OSTI)

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

202

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

203

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

204

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

205

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... havior of the ratio of total quanta to total energy (Q : W) within the spectral region of photosynthetic ..... For blue-green waters, where hRmax lies.

2000-01-02T23:59:59.000Z

206

Geothermal resources  

SciTech Connect (OSTI)

The United States uses geothermal energy for electrical power generation and for a variety of direct use applications. The most notable developments are The Geysers in northern California, with approximately 900 MWe, and the Imperial Valley of southern California, with 14 MWe being generated, and at Klamath Falls, Oregon and Boise, Idaho, where major district heating projects are under construction. Geothermal development is promoted and undertaken by private companies, public utilities, the federal government, and by state and local governments. Geothermal drilling activity showed an increase in exploratory and development work over the five previous years, from an average of 61 wells per year to 96 wells for 1980. These 96 wells accounted for 605,175 ft of hole. The completed wells included 18 geothermal wildcat discoveries, 15 wildcat failures, and 5 geopressured geothermal failures, a total of 38 exploratory attempts. Of the total of 58 geothermal development wells attempted, 55 were considered capable of production amounting to a success ratio of 94.8%. During 1980, two new power plants were put on line at The Geysers, increasing by 37% the total net generating capacity to over 900 MWe. Two power plants commenced production in the Imperial Valley in 1980. Southern California Edison started up a 10-MWe flash steam unit at the Brawley geothermal field in June. Steam is supplied by the Union Oil Company. After an intermittent beginning, Imperial Magma's pilot binary cycle, 11-MWe unit went on line on a continuous basis, producing 7 MWe of power. Hot water is supplied to the plant by Imperial Magma's wells.

Berge, C.W. (Phillips Petroleum Co., Sandy, UT); Lund, J.W.; Combs, J.; Anderson, D.N.

1981-10-01T23:59:59.000Z

207

NREL: Wind Research - Offshore Wind Resource Characterization  

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

Offshore Wind Resource Characterization Offshore Wind Resource Characterization Map of the United States, showing the wind potential of offshore areas across the country. Enlarge image US offshore wind speed estimates at 90-m height NREL scientists and engineers are leading efforts in resource mapping, remote sensor measurement and development, and forecasting that are essential for the development of offshore wind. Resource Mapping For more than 15 years, NREL's meteorologists, engineers, and Geographic Information System experts have led the production of wind resource characterization maps and reports used by policy makers, private industry, and other government organizations to inform and accelerate the development of wind energy in the United States. Offshore wind resource data and mapping has strategic uses. As with terrestrial developments, traditional

208

Building Technologies Office: Resources  

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

Resources to someone by Resources to someone by E-mail Share Building Technologies Office: Resources on Facebook Tweet about Building Technologies Office: Resources on Twitter Bookmark Building Technologies Office: Resources on Google Bookmark Building Technologies Office: Resources on Delicious Rank Building Technologies Office: Resources on Digg Find More places to share Building Technologies Office: Resources on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards Events Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

209

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

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

210

Resource Assessment and Characterization | Department of Energy  

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

Resource Assessment and Characterization Resource Assessment and Characterization Resource Assessment and Characterization The Water Power Program has released reports and maps that assess the total technically recoverable energy available in the nation's powered dams, non-powered dams, and untapped stream-reaches. These resource assessments are pivotal to understanding hydropower's potential for future electricity production. Hydropower already provides 6-8% of the nation's electricity, but more potential resides in our flowing waters to provide clean electricity to communities and cities across the United States. There are three levels of resource assessments performed by the water industry. Theoretical potential is the annual average amount of physical energy that is hypothetically available. Technical resource potential is

211

Table A39. Total Expenditures for Purchased Electricity and Steam  

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

9. Total Expenditures for Purchased Electricity and Steam" 9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,"Total United States" "RSE Column Factors:",0.3,2,1.6,1.2

212

Solar Resources By Class Per Country | OpenEI  

Open Energy Info (EERE)

Resources By Class Per Country Resources By Class Per Country Dataset Summary Description These estimates are derived from the best available solar resource datasets available to NREL by country. These vary in spatial resolution from 1 km to 1 degree (approximately 100 km) depending on the data source. High spatial resolution datasets (1 km to 40 km cells) were modeled to support country or regional projects. Where high resolution datasets were not available, data from NASA's Surface Meteorology and Solar Energy (SSE) version 6 database were used. The data represents total potential solar energy per year as a function of land area per solar class (KWh/m²/day). Each solar class correlates to a specific 0.5 kWh/m²/day range. Energy is calculated by multiplying the productive land by the class, conversion efficiency and number of days per year. In this case, a standard calendar year of 365 days was used. The conversion efficiency rate applied was 10%. (E = Productive Land * kWh/m²/day * 365 days * 10% efficiency). The solar data has been derived from solar data measured or modeled between 1961 and 2008, depending on the dataset.

213

The wave energy resource along Australia’s Southern margin  

Science Journals Connector (OSTI)

The Southern Australian margin is one of the most energetic regions in the world suitable for the extraction of waveenergy for electricity generation. We have produced a data set in which the deep-water waveenergy resource for the region is described by three representative deep-water wave states equivalent to the 10th 50th and 90th percentiles of the deep-water waveenergy flux derived from archives of the USA National Oceanic and Atmospheric Administration (NOAA) WaveWatch III (NWW3) operational wavemodel. The Simulating WAves Nearshore (SWAN) wavemodel is then applied along the full Southern Australian margin to propagate these representative wave states into the near-shore region to quantify the effects of shallow water processes such as refraction shoaling and bottom friction. The waveenergy incident on the 25-m isobath ( ? 30 – 50 ? kW / m ) is approximately 35%–50% less than the World Energy Council estimates of offshore waveenergy but is approximately 20% greater than the energy observed from long-term buoy deployments on the midshelf. The latter discrepancy is attributed to an overestimation of significant wave height along the Southern Australian margin by the NWW3 model. The near-shore model applied in this study adequately simulates the attenuation of wave heights across the continental shelf when compared with estimates of wave height attenuation obtained from the Topex satellite altimeter. The attenuation of waveenergy across the continental shelf reduces the estimates of offshore waveenergy as given by the World Energy Council; however the waveenergy resource incident on the Southern Australian margin remains considerable. We estimate that if 10% of the incident near-shore energy in this region which is an ambitious target when conversion efficiency is considered were converted to electricity approximately 130 TW?h/yr (one-half of Australia’s total present-day electricity consumption) would be produced.

M. A. Hemer; D. A. Griffin

2010-01-01T23:59:59.000Z

214

Clean Cities: Information Resources  

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

Information Resources Information Resources Printable Version Share this resource Send a link to Clean Cities: Information Resources to someone by E-mail Share Clean Cities: Information Resources on Facebook Tweet about Clean Cities: Information Resources on Twitter Bookmark Clean Cities: Information Resources on Google Bookmark Clean Cities: Information Resources on Delicious Rank Clean Cities: Information Resources on Digg Find More places to share Clean Cities: Information Resources on AddThis.com... Publications Technical Assistance Information Resources Learn about Clean Cities by exploring these information resources. Publications View Clean Cities-branded publications or search for publications about alternative fuels and vehicles. Technical Assistance Learn about technical assistance available to help organizations overcome

215

Information Resources - EERE Commercialization Office  

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

Information Resources Site Map Printable Version Share this resource National Laboratories Information Resources Here you will find various informational resources related to the...

216

Resources | Jefferson Lab  

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

Resources Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows...

217

Ombuds Self Help Resources  

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

Self Help Resources Ombuds Self Help Resources Committed to the fair and equitable treatment of all employees, contractors, and persons doing business with the Laboratory. Contact...

218

Resources | Department of Energy  

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

Filter by Audience Filter by Resource Type Solar Powering America supports solar energy use for a variety of stakeholders in the United States. Here you will find resources...

219

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-Distribución del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12;

Autonoma de Madrid, Universidad

220

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified).

2000-01-02T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

222

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

223

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

224

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

225

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

226

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

227

Total..............................................................  

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

228

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

229

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

230

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

231

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

232

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

233

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

234

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

235

Total....................................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

236

Total...................................................................  

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

237

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

238

Total..............................................................................  

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

239

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

240

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

Note: This page contains sample records for the topic "total resource estimation" 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

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

242

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

243

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

244

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

245

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

246

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

247

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

248

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

249

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

250

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

251

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

252

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

253

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.7 0.5 0.2 Million U.S. Housing Units Home Electronics Usage Indicators Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region,...

254

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 1.8 1.2 0.5 Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005 Million U.S. Housing Units Home Appliances...

255

Total..........................................................  

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

... 2.8 1.1 0.7 Q 0.4 Million U.S. Housing Units Home Electronics Usage Indicators Table HC13.12 Home Electronics Usage Indicators by South Census Region,...

256

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 3.1 1.0 2.2 Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005 Million U.S. Housing Units Home Appliances...

257

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four Most Populated...

258

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 2.7 3.5 2.2 1.3 3.5 1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal...

259

Total..........................................................  

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

... 13.2 3.4 2.0 1.4 Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005 Million U.S. Housing Units Home Appliances...

260

Total..........................................................  

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

Census Region Northeast Midwest South West Million U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005...

Note: This page contains sample records for the topic "total resource estimation" 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

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(as Self-Reported) City Town Suburbs Rural Million U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location,...

262

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 4.4 2.5 3.0 3.4 Table HC8.10 Home Appliances Usage Indicators by UrbanRural Location, 2005 Million U.S. Housing Units UrbanRural...

263

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.6 Q 0.5 Million U.S. Housing Units Home Electronics Usage Indicators Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005...

264

Total..........................................................  

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

... 13.2 4.9 2.3 1.1 1.5 Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005 Million U.S. Housing Units South Census Region...

265

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 51.9 7.0 4.8 2.2 Not Asked (Mobile Homes or Apartment in Buildings with 5 or More Units)... 23.7...

266

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

Housing Units Living Space Characteristics Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Single-Family Units Detached...

267

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment... 1.2 Q Q N Q Have Main Space Heating Equipment... 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating...

268

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

269

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

270

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

271

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

272

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

273

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

274

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

275

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

276

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

277

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

278

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

279

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

280

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

Note: This page contains sample records for the topic "total resource estimation" 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

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

282

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

283

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

284

Tropical Africa: Total Forest Biomass (By Country)  

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

Tropical Africa: Total Forest Biomass (By Country) Tropical Africa: Total Forest Biomass (By Country) image Brown, S., and G. Gaston. 1996. Tropical Africa: Land Use, Biomass, and Carbon Estimates For 1980. ORNL/CDIAC-92, NDP-055. Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. More Maps Calculated Actual Aboveground Live Biomass in Forests (1980) Maximum Potential Biomass Density Land Use (1980) Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By County) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit)

285

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

286

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

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

0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion...

287

Career Map: Resource Scientist  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Resource Scientist positions.

288

Property:Geothermal/TotalProjectCost | Open Energy Information  

Open Energy Info (EERE)

TotalProjectCost TotalProjectCost Jump to: navigation, search Property Name Geothermal/TotalProjectCost Property Type Number Description Total Project Cost Pages using the property "Geothermal/TotalProjectCost" Showing 25 pages using this property. (previous 25) (next 25) A A 3D-3C Reflection Seismic Survey and Data Integration to Identify the Seismic Response of Fractures and Permeable Zones Over a Known Geothermal Resource at Soda Lake, Churchill Co., NV Geothermal Project + 14,571,873 + A Demonstration System for Capturing Geothermal Energy from Mine Waters beneath Butte, MT Geothermal Project + 2,155,497 + A Geothermal District-Heating System and Alternative Energy Research Park on the NM Tech Campus Geothermal Project + 6,135,381 + A new analytic-adaptive model for EGS assessment, development and management support Geothermal Project + 1,629,670 +

289

Stakeholder Engagement and Outreach: Native American Resources  

Wind Powering America (EERE)

Resources Resources This page lists resources and tools specifically for Native Americans. Read personal interviews with Native Americans who have experience installing wind power on Native American lands, find wind resource maps that have Indian Reservation boundaries, and watch a video about installing wind power on Native American lands. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 42 records found. Page 1 of 9, Sorted by descending date Filtered by: Native Americans 1 2 3 4 5 6 7 8 9 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

290

Category:CETSI Resources | Open Energy Information  

Open Energy Info (EERE)

CETSI Resources CETSI Resources Jump to: navigation, search This page contains a list of all case studies and other resources defined as CETSI Resources. Pages in category "CETSI Resources" The following 43 pages are in this category, out of 43 total. A A Guide to Community Solar: Utility, Private, and Non-profit Project Development An Overview of Existing Wind Energy Ordinances Animal Farm Powers Village Assessment of the Technical Potential for Micro-Cogeneration in Small Commercial Buildings across the United States C Chicago Climate Action Plan City of Aspen Climate Action Plan Climate Action Planning: A Review of Best Practices, Key Elements, and Common Climate Strategies for Signatories to the American College & University Presidents' Climate Commitment

291

Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative  

SciTech Connect (OSTI)

Building transmission to reach renewable energy (RE) goals requires coordination among renewable developers, utilities and transmission owners, resource and transmission planners, state and federal regulators, and environmental organizations. The Western Renewable Energy Zone (WREZ) initiative brings together a diverse set of voices to develop data, tools, and a unique forum for coordinating transmission expansion in the Western Interconnection. In this report we use a new tool developed in the WREZ initiative to evaluate possible renewable resource selection and transmission expansion decisions. We evaluate these decisions under a number of alternative future scenarios centered on meeting 33% of the annual load in the Western Interconnection with new renewable resources located within WREZ-identified resource hubs. Of the renewable resources in WREZ resource hubs, and under the assumptions described in this report, our analysis finds that wind energy is the largest source of renewable energy procured to meet the 33% RE target across nearly all scenarios analyzed (38-65%). Solar energy is almost always the second largest source (14-41%). Solar exceeds wind by a small margin only when solar thermal energy is assumed to experience cost reductions relative to all other technologies. Biomass, geothermal, and hydropower are found to represent a smaller portion of the selected resources, largely due to the limited resource quantity of these resources identified within the WREZ-identified hubs (16-23% combined). We find several load zones where wind energy is the least cost resource under a wide range of sensitivity scenarios. Load zones in the Southwest, on the other hand, are found to switch between wind and solar, and therefore to vary transmission expansion decisions, depending on uncertainties and policies that affect the relative economics of each renewable option. Uncertainties and policies that impact bus-bar costs are the most important to evaluate carefully, but factors that impact transmission costs and the relative market value of each renewable option can also be important. Under scenarios in which each load zone must meet 33% of its load with delivered renewable energy from the WREZ-identified resource hubs, the total transmission investment required to meet the 33% west-wide RE target is estimated at between $22 billion and $34 billion. Although a few of the new transmission lines are very long - over 800 miles - most are relatively short, with average transmission distances ranging from 230-315 miles, depending on the scenario. Needed transmission expenditure are found to decline to $17 billion if wide use of renewable energy credits is allowed; consideration of renewable resources outside of WREZ-identified hubs would further reduce this transmission cost estimate. Even with total transmission expenditures of $17-34 billion, however, these costs still represent just 10-19% of the total delivered cost of renewable energy.

Mills, Andrew; Phadke, Amol; Wiser, Ryan

2010-02-16T23:59:59.000Z

292

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

293

Wind Resources by Class and Country At 50m - Datasets - OpenEI...  

Open Energy Info (EERE)

Wind Resources by Class and Country At 50m These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution...

294

Assessment of the Mexican Eagle Ford Shale Oil and Gas Resources  

E-Print Network [OSTI]

-rich zone. Accurate estimation of the resource size and future production, as well as the uncertainties associated with them, is critical for the decision-making process of developing shale oil and gas resources. The complexity of the shale reservoirs...

Morales Velasco, Carlos Armando

2013-08-02T23:59:59.000Z

295

Teacher Resource Center: Science Fair Resources  

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

Science Fair Resources Science Fair Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center collection is available for use onsite. The TRC is a member of the DuPage Library System. This list was prepared for a presentation to several regional library systems. The Science Fair and Beyond, was presented by Susan Dahl, sdahl@fnal.gov, 630-840-3094. (links checked October 27, 2009) See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Explore the Education Office website for other opportunities and services.

296

NREL GIS Data: Alaska Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Alaska Low Resolution Concentrating Solar Power Resource Alaska Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Alaska. Purpose: Provide information on the solar resource potential for Alaska. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximatley 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain. Units are in watt hours.

297

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource |  

Open Energy Info (EERE)

Low Resolution Concentrating Solar Power Resource Low Resolution Concentrating Solar Power Resource Dataset Summary Description Abstract: Monthly and annual average solar resource potential for Hawaii. Purpose: Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. Supplemental_Information: This data provides monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. This data was developed from the Climatological Solar Radiation (CSR) Model. The CSR model was developed by the National Renewable Energy Laboratory for the U.S. Department of Energy. Specific information about this model can be found in Maxwell, George and Wilcox (1998) and George and Maxwell (1999). This model uses information on cloud cover, atmostpheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. The cloud cover data used as input to the CSR model are an 7-year histogram (1985-1991) of monthly average cloud fraction provided for grid cells of approximately 40km x 40km in size. Thus, the spatial resolution of the CSR model output is defined by this database. The data are obtained from the National Climatic Data Center in Ashville, North Carolina, and were developed from the U.S. Air Force Real Time Nephanalysis (RTNEPH) program. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at latitude tilt are described in Marion and Wilcox (1994). Where possible, existing ground measurement stations are used to validate the data. Nevertheless, there is uncertainty associated with the meterological input to the model, since some of the input parameters are not avalible at a 40km resolution. As a result, it is believed that the modeled values are accurate to approximately 10% of a true measured value within the grid cell. Due to terrain effects and other micoclimate influences, the local cloud cover can vary significantly even within a single grid cell. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

298

Supplementary Information Potential for Electricity Generation from Renewable Resources and Levelized Cost of Electricity (LCOE)  

E-Print Network [OSTI]

Supplementary Information Potential for Electricity Generation from Renewable Resources and Levelized Cost of Electricity (LCOE) Electrical energy can be generated from renewable resources the potential to meet the worldwide demand of electricity and they contribute to the total generation

Suo, Zhigang

299

SWERA/Solar Resource Information | Open Energy Information  

Open Energy Info (EERE)

Resource Information Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Solar Resource Information SWERA solar products provide information on the solar resource at a specific location that is available for use by solar technologies. These products include maps and data of available solar resource, as well as documentation on the methodology employed to generate these solar resource estimates. The data products and resource maps are derived from models and satellite and global weather observations and do not contain site-specific measurement information. SWERA solar products are classified by the radiation components they describe. Applicability of the different

300

Total Sky Imager (TSI) Handbook  

SciTech Connect (OSTI)

The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees.

Morris, VR

2005-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Total assessment audits (TAA) in Iowa  

SciTech Connect (OSTI)

Traditionally, energy, waste reduction and productivity audits are performed for a manufacturing facility independent of one another. Auditors generally deliver recommendations for improvement based on their specialized expertise (energy, waste reduction, productivity, etc.) without regard to how those recommendations may impact other, sometimes less obvious, subsystems or processes within the facility. The audits are typically performed in isolation from the plant upper management and commonly without adequate knowledge of how inherent interrelated operational constraints may directly or indirectly influence the success of audit recommendations. The Total Assessment Audit (TAA) concept originated from the belief that a manufacturing facility is better served using a holistic approach to problem solving rather than the more conventional isolated approach. The total assessment audit methodology partners the upper management team of a company with a multi-disciplined team of industry-specific specialists to collectively ascertain the core opportunities for improvement in the company and then to formulate a company oriented continuous improvement plan. Productivity, waste reduction, and energy efficiency objectives are seamlessly integrated into a single service delivery with the TAA approach. Nontraditional audit objectives that influence profitability and competitiveness such as business management practices, employee training, human resource issues, etc. are also subject to evaluation in a TAA. The underlying premise of this approach is that the objectives are interrelated and that simultaneous evaluation will province synergistic results. Ultimately, it is believed that the TAA approach can motivate a manufacturer to implement improvements it might not otherwise pursue if it were focused only on singular objectives.

Haman, W.G.

1999-07-01T23:59:59.000Z

302

Efficient Resource Management for Cloud Computing Environments  

E-Print Network [OSTI]

, the dependence on power also increases. Currently it is estimated that data centers consume 0.5 percent. In 2005, the total energy consumption for servers and their cooling units was projected at 1.2% the total such as the relatively high operating cost for both public and private Clouds. The area of Green computing is also

303

Teacher Resource Center  

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

Teacher Resource Center: Putting It All Together Teacher Resource Center: Putting It All Together TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides a preview collection of K-12 instructional materials. TRC services include professional development workshops, consultation assistance, bibliographies and reference assistance. Educators have access to curriculum materials, books, multimedia, educational supply catalogs, periodicals and newsletters. The collection

304

Student Resources and Services 433 Student Resources  

E-Print Network [OSTI]

Student Resources and Services 433 Student Resources and Services The University of North Carolina at Charlotte provides a comfortable and enjoyable environment for students that is conducive to studying. The services, facilities, and programs of the University promote individual student development and foster

Xie,Jiang (Linda)

305

Modeling access to wind resources in the United States  

SciTech Connect (OSTI)

To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

Short, W.D.

1999-10-20T23:59:59.000Z

306

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

E-Print Network [OSTI]

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

Krstic, Miroslav

307

Industrial Buildings Tools and Resources  

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

Rolf Butters Rolf Butters Industrial Technologies Program Industrial Buildings Tools and Resources Webinar - June 11, 2009 Michael MacDonald Agenda  Introduction to Industrial Buildings Opportunity and Tools  EERE Funding, Opportunities, and Resources  Next Steps 6/11/2009 2 Facilities Energy  ITP has been working for a couple years now to develop tools to address facilities energy use, present in most plants, and about 8% of total sector energy use  First tool is a Score Card, implemented both as a stand- alone Excel file and for QuickPEP - Score Card has to be simple, so is approximate - But it can be a very important tool for scoping facilities energy use at a plant  Second tool is an adaptation of the BCHP Screening Tool, originally developed by the Distributed Energy program but

308

RESOURCE ASSESSMENT OF THE IN-PLACE AND POTENTIALLY RECOVERABLE DEEP NATURAL GAS RESOURCE OF THE ONSHORE INTERIOR SALT BASINS, NORTH CENTRAL AND NORTHEASTERN GULF OF MEXICO  

SciTech Connect (OSTI)

The University of Alabama and Louisiana State University have undertaken a cooperative 3-year, advanced subsurface methodology resource assessment project, involving petroleum system identification, characterization and modeling, to facilitate exploration for a potential major source of natural gas that is deeply buried (below 15,000 feet) in the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas. The project is designed to assist in the formulation of advanced exploration strategies for funding and maximizing the recovery from deep natural gas domestic resources at reduced costs and risks and with minimum impact. The results of the project should serve to enhance exploration efforts by domestic companies in their search for new petroleum resources, especially those deeply buried (below 15,000 feet) natural gas resources, and should support the domestic industry's endeavor to provide an increase in reliable and affordable supplies of fossil fuels. The principal research effort for Year 1 of the project is data compilation and petroleum system identification. The research focus for the first nine (9) months of Year 1 is on data compilation and for the remainder of the year the emphasis is on petroleum system identification. The objectives of the study are: to perform resource assessment of the in-place deep (>15,000 ft) natural gas resource of the onshore interior salt basins of the North Central and Northeastern Gulf of Mexico areas through petroleum system identification, characterization and modeling and to use the petroleum system based resource assessment to estimate the volume of the in-place deep gas resource that is potentially recoverable and to identify those areas in the interior salt basins with high potential to recover commercial quantities of the deep gas resource. The project objectives will be achieved through a 3-year effort. First, emphasis is on petroleum system identification and characterization in the North Louisiana Salt Basin, the Mississippi Interior Salt Basin, the Manila Sub-basin and the Conecuh Sub-basin of Louisiana, Mississippi, Alabama and Florida panhandle. This task includes identification of the petroleum systems in these basins and the characterization of the overburden, source, reservoir and seal rocks of the petroleum systems and of the associated petroleum traps. Second, emphasis is on petroleum system modeling. This task includes the assessment of the timing of deep (>15,000 ft) gas generation, expulsion, migration, entrapment and alteration (thermal cracking of oil to gas). Third, emphasis is on resource assessment. This task includes the volumetric calculation of the total in-place hydrocarbon resource generated, the determination of the volume of the generated hydrocarbon resource that is classified as deep (>15,000 ft) gas, the estimation of the volume of deep gas that was expelled, migrated and entrapped, and the calculation of the potential volume of gas in deeply buried (>15,000 ft) reservoirs resulting from the process of thermal cracking of liquid hydrocarbons and their transformation to gas in the reservoir. Fourth, emphasis is on identifying those areas in the onshore interior salt basins with high potential to recover commercial quantities of the deep gas resource.

Ernest A. Mancini

2004-04-16T23:59:59.000Z

309

Renewable Resource Integration Project - Scoping Study of Strategic Transmission, Operations, and Reliability Issues  

E-Print Network [OSTI]

13 Table 5. 2006 Renewable Capacity and EstimatedMW)13 Table 6. 2006 Renewable Energy & Estimatedcapacity of renewable resources. ..16

Budhraja, Vikram

2008-01-01T23:59:59.000Z

310

Geothermal resource requirements for an energy self-sufficient spaceport  

SciTech Connect (OSTI)

Geothermal resources in the southwestern United States provide an opportunity for development of isolated spaceports with local energy self-sufficiency. Geothermal resources can provide both thermal energy and electrical energy for the spaceport facility infrastructure and production of hydrogen fuel for the space vehicles. In contrast to hydrothermal resources by which electric power is generated for sale to utilities, hot dry rock (HDR) geothermal resources are more wide-spread and can be more readily developed at desired spaceport locations. This paper reviews a dynamic model used to quantify the HDR resources requirements for a generic spaceport and estimate the necessary reservoir size and heat extraction rate. The paper reviews the distribution of HDR resources in southern California and southern New Mexico, two regions where a first developmental spaceport is likely to be located. Finally, the paper discusses the design of a HDR facility for the generic spaceport and estimates the cost of the locally produced power.

Kruger, P.; Fioravanti, M. [Stanford Univ., CA (United States). Civil Engineering Dept.; Duchane, D.; Vaughan, A. [Los Alamos National Lab., NM (United States). Earth and Environmental Sciences Div.

1997-01-01T23:59:59.000Z

311

Transmission/Resource Library/Enviromental Resources and Mitigation...  

Open Energy Info (EERE)

Enviromental Resources and Mitigation < Transmission | Resource Library(Redirected from TransmissionResource LibraryMitigation) Redirect page Jump to: navigation, search...

312

Water resource utilization efficiency and spatial spillover effects in China  

Science Journals Connector (OSTI)

Based on provincial panel data of water footprint and grey water footprint, and with the help of data ... the undesirable output, this paper estimates the water resources utilization efficiency in China from 1997...

Caizhi Sun; Liangshi Zhao; Wei Zou; Defeng Zheng

2014-10-01T23:59:59.000Z

313

United States Wind Resource Map: Annual Average Wind Speed at...  

Wind Powering America (EERE)

5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http:www.awstruepower.com. Map developed by NREL. Spatial resolution of wind...

314

United States Wind Resource Map: Annual Average Wind Speed at...  

Wind Powering America (EERE)

4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http:www.windnavigator.com | http:www.awstruepower.com. Spatial resolution of wind...

315

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

18,000 18,000 Rated Capacity Above Indicated CF (GW) United States - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

316

Wind Resource Assessment of Gujarat (India)  

SciTech Connect (OSTI)

India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

Draxl, C.; Purkayastha, A.; Parker, Z.

2014-07-01T23:59:59.000Z

317

Solar Resource Assessment  

SciTech Connect (OSTI)

This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

2008-02-01T23:59:59.000Z

318

Reserves and Resources  

Science Journals Connector (OSTI)

Assessments of resources belong to the realm of educated guesses. Conceptually distinct from resources and occupying a higher ranking in regard to precision, certainty and accuracy in mineral resou...

Ooi Jin Bee

1982-01-01T23:59:59.000Z

319

Financial Planning Resource Allocation  

E-Print Network [OSTI]

Financial Planning Resource Allocation Human Resources Administrative Services Recruitment Management Leadership Studies Minor Admissions Information Desk & Game Center Fraternity/Sorority Life & Cross-Cultural Support Board Dining Medical Services Liaison for Faculty, Staff & Scholarships Retail

Barrash, Warren

320

Energy Efficient Radio Resource  

E-Print Network [OSTI]

Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Omer HALILOGLU Introduction System Model Performance Evaluation Conclusion References Energy Efficient Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

Yanikomeroglu, Halim

Note: This page contains sample records for the topic "total resource estimation" 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

OpenMP Resources  

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

some useful OpenMP resources and tutorials: Official OpenMP Web Site: OpenMP standards, API specifications, tutorials, forums, and a lot more other information and resources. Tim...

322

Geothermal-resource verification for Air Force bases  

SciTech Connect (OSTI)

This report summarizes the various types of geothermal energy reviews some legal uncertainties of the resource and then describes a methodology to evaluate geothermal resources for applications to US Air Force bases. Estimates suggest that exploration costs will be $50,000 to $300,000, which, if favorable, would lead to drilling a $500,000 exploration well. Successful identification and development of a geothermal resource could provide all base, fixed system needs with an inexpensive, renewable energy source.

Grant, P.R. Jr.

1981-06-01T23:59:59.000Z

323

Outdoor Lighting Resources  

Broader source: Energy.gov [DOE]

DOE offers a variety of resources to guide municipalities, utilities, and others in their evaluation of LED street lighting products.

324

World Energy Resources  

Science Journals Connector (OSTI)

World Energy Resources ... Coal reserves are by far the largest proved energy sources we have, said Parker. ...

1954-05-17T23:59:59.000Z

325

Characterization of wind power resource in the United States*  

E-Print Network [OSTI]

Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

326

PACENow Resources | Department of Energy  

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

PACENow Resources PACENow Resources Provides a broad range of property assessed clean energy resources. Author: PACENow PACENow Website More Documents & Publications Financing...

327

Fisheries Resources | Open Energy Information  

Open Energy Info (EERE)

Fisheries Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleFisheriesResources&oldid612306" Category: NEPA Resources...

328

SPACE RESOURCES ROUNDTABLE IX  

E-Print Network [OSTI]

in developing the resources of space, including the Moon, Mars, asteroids, comets, and other bodies organizations. The ninth Space Resources Roundtable solicits presentations about: · Orbital or landed measurements of the Moon, Mars, and/or asteroids and comets to identify and characterize potential resources

Rathbun, Julie A.

329

Wood Resources International  

E-Print Network [OSTI]

Wood Resources International Wood Raw Material Consumption on the Rise Despite Weak Global Economy UNECE Timber Committee Meeting October 7-8, 2003 Geneva, Switzerland Håkan Ekström Wood Resources International #12;Wood Resources International Outline · Roundwood Removals · Roundwood Consumption · Raw

330

Improved diagnostic model for estimating wind energy  

SciTech Connect (OSTI)

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

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

1983-03-01T23:59:59.000Z

331

Alternate Solutions to Water Resource Development -- A Case Study  

E-Print Network [OSTI]

This study was undertaken in an effort to develop procedural methodology for the consideration of alternative solutions for water resources development in a short period of time with a view toward reduction of total costs involved in prefeasibility...

Basco, D. R.; Rahman, K. M. A.

332

U.S. Department of Energy Releases Revised Total System Life Cycle Cost  

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

Releases Revised Total System Life Cycle Releases Revised Total System Life Cycle Cost Estimate and Fee Adequacy Report for Yucca Mountain Project U.S. Department of Energy Releases Revised Total System Life Cycle Cost Estimate and Fee Adequacy Report for Yucca Mountain Project August 5, 2008 - 2:40pm Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today released a revised estimate of the total system life cycle cost for a repository at Yucca Mountain, Nevada. The 2007 total system life cycle cost estimate includes the cost to research, construct and operate Yucca Mountain during a period of 150 years, from the beginning of the program in 1983 through closure and decommissioning in 2133. The new cost estimate of $79.3 billion, when updated to 2007 dollars comes to $96.2 billion, a 38 percent

333

Assessment of Biomass Resources in Afghanistan  

SciTech Connect (OSTI)

Afghanistan is facing many challenges on its path of reconstruction and development. Among all its pressing needs, the country would benefit from the development and implementation of an energy strategy. In addition to conventional energy sources, the Afghan government is considering alternative options such as energy derived from renewable resources (wind, solar, biomass, geothermal). Biomass energy is derived from a variety of sources -- plant-based material and residues -- and can be used in various conversion processes to yield power, heat, steam, and fuel. This study provides policymakers and industry developers with information on the biomass resource potential in Afghanistan for power/heat generation and transportation fuels production. To achieve this goal, the study estimates the current biomass resources and evaluates the potential resources that could be used for energy purposes.

Milbrandt, A.; Overend, R.

2011-01-01T23:59:59.000Z

334

Stakeholder Engagement and Outreach: Public Power Resources  

Wind Powering America (EERE)

Public Power Public Power Resources Regional Activities State Activities State Lands Siting Public Power Resources This page lists wind-related information resources such as publications, websites, and news for public power. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 81 records found. Page 1 of 17, Sorted by descending date Filtered by: Public Power 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

335

Energy Efficiency Resource Standard | Department of Energy  

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

Energy Efficiency Resource Standard Energy Efficiency Resource Standard Energy Efficiency Resource Standard < Back Eligibility Investor-Owned Utility Savings Category Other Program Info State New Mexico Program Type Energy Efficiency Resource Standard Provider New Mexico Public Regulation Commission The Efficient Use of Energy Act requires investor-owned utilities in New Mexico to offer demand-side management and load management programs to their customers. The programs should be designed to achieve electricity savings totaling 5% of their 2005 retail sales by 2014, and 10% of their 2005 retail sales by 2020. All programs adopted by a utility must first be approved by the New Mexico Public Regulation Commission (PRC). Upon approval by the PRC, utilities are entitled to apply a [http://www.dsireusa.org/incentives/incentive.cfm?Incentive_Code=NM09R&re...

336

Estimating Demand Response with Panel Data  

Science Journals Connector (OSTI)

In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209–232 1999). It is shown to be consistent when total expenditure and regre...

Sébastien Lecocq; Jean-Marc Robin

2006-11-01T23:59:59.000Z

337

Conservation Conservation ResourcesConservation Resources  

E-Print Network [OSTI]

an inventory of readyMaintain an inventory of ready--toto--constructconstruct coal & wind generation for postConfirm cost & availability of promising resources ­­ Oil sandsOil sands cogencogen, coal gasification, carbon

338

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

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

Total Expenditures for Purchased Energy Sources by Census Region" Total Expenditures for Purchased Energy Sources by Census Region" " and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

339

Assessment of wind and solar energy resources in Batna, Algeria  

Science Journals Connector (OSTI)

Due to several climate changes caused by greenhouse gas and to the increasing need for clean energies, scientists drew attention to renewable energy sources, which are the most suitable solution in the future. Sparsely populated and flat open terrains observed in Batna region (North East of Algeria) and its semi-arid climate, make it a promising region for the development of solar and wind energies. In this article, we analyzed ten years of daily wind speed data in a remote area of Batna: Mustafa Ben Boulaid Airport. Wind power availability, as well as annual mean values of wind speed and power, were estimated. Frequency distribution of daily totals of wind speed data were counted and illustrated too. The results have been used to estimate net energy output of different wind turbines. This simulation shows a difference in wind generators production and allows us to choose the best wind turbine adapted to site conditions. Since solar and wind energy resources may be used to compensate each other, we evaluated also the solar potential of the same area.

Mounir Aksas; Amor Gama

2011-01-01T23:59:59.000Z

340

State Energy Efficiency Resource Standards: Design, Status, and Impacts  

SciTech Connect (OSTI)

An energy efficiency resource standard (EERS) is a policy that requires utilities or other entities to achieve a specified amount of energy savings through customer energy efficiency programs within a specified timeframe. EERSs may apply to electricity usage, natural gas usage, or both. This paper provides an overview of the key design features of EERSs for electricity, reviews the variation in design of EERSs across states, and provides an estimate of the amount of savings required by currently specified EERSs in each state. As of December, 2013, 23 states have active and binding EERSs for electricity. We estimate that state EERSs will require annual electricity savings of approximately 8-11% of total projected demand by 2020 in states with EERSs, however the level of savings targeted by the policies varies significantly across states. In addition to the variation in targeted savings, the design of EERSs varies significantly across states leading to differences in the suite of incentives created by the policy, the flexibility of compliance with the policy, the balance of benefits and costs of the policy between producers and consumers, and the certainty with which the policy will drive long-term savings.

Steinberg, D.; Zinaman, O.

2014-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

342

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

343

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

344

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

345

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

346

Farmland damage and its impact on the overlapped areas of cropland and coal resources in the eastern plains of China  

Science Journals Connector (OSTI)

Abstract The subsidence caused by coal mining in areas where cropland and coal resources overlap in the eastern plains of China with high ground water levels has caused large amounts of water to collect in cropland, significant damage to cropland, and a sharp contradiction between people and land distribution within this region. Systematic analysis and calculation were conducted on these areas by using GIS spatial overlay analysis technology, subsidence and occupied cropland estimation models, and crop yield reduction prediction model to reveal the overlapped characteristics and extent of farmland damage, as well as to evaluate the effects of farmland damage to grain yield, farmland landscape, agricultural population, and dynamical equilibrium of the total cultivated land. Results showed that the overlapped areas of cropland and coal resources on the eastern plains of China occupied an area covering 1.33 × 105 km2, which accounted for 31.93% of the total cropland area. In 2020, the accumulative total area of destroyed cropland reached 3.83 × 103 km2, thus reducing grain yield by 9.63 × 108 kg, and increasing the number of landless farmers to 1.91 × 106. Furthermore, the quality and production capacity of cultivated land decreased, farmland landscape patterns changed, land patterns and structures were adjusted, the dynamical equilibrium of the total cultivated land was difficult to guarantee, and social instability increased in coal mining subsidence areas. These findings provided a scientific basis for relevant government departments to enact countermeasures for the coordinative production of coal and grain.

Zhenqi Hu; Guanghua Yang; Wu Xiao; Jing Li; Yaoqi Yang; Yang Yu

2014-01-01T23:59:59.000Z

347

Office of Resource Management  

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

Resource Management Resource Management Home Sub Offices › Business Operations › Information Management › Human Resources and Administration Mission and Functions HSS Standard Operating Practices (For Internal Users Only) HSS Subject Matter Experts and Functional Points of Contacts Contact Us HSS Logo Office of Resource Management Direct Report to the Chief Health, Safety and Security Officer Mission and Functions Mission The Office of Resource Management supports the infrastructure of the Office of Health, Safety and Security (HSS) by providing balanced, unbiased, technically competent, and customer focused services in the areas of: (1) Financial Management, including budget formulation and execution; (2) Procurement Management, including contract and credit card programs; (3) Information Management, including technology-based solutions and programs; (4) Quality Assurance; (5) Human Resources, including recruitment and retention programs; (6) Administrative Services, including property management, travel, and work space management; and; (7) Strategic and Program Planning including performance and efficiency measures.

348

Contact List, Human Resources  

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

Human Resources & Occupational Medicine Division Human Resources & Occupational Medicine Division Contact List Human Resources Guest, User, Visitor (GUV) Center Occupational Medicine Training and Qualifications Office Note: All listed phone extensions are in the format of (631) 344-xxxx. Human Resources Robert Lincoln, Chief Human Resources Officer x7435 rlincoln@bnl.gov Margaret Hughes x2108 hughes@bnl.gov Elizabeth Gilbert x2315 gilbert@bnl.gov Human Resources Generalists Christel Colon, HR Manager - BES, GARS & ELS x8469 ccolon@bnl.gov Joann Williams, HR Manager - Support Operations x8356 williamsj@bnl.gov Joanna Hall, HR Manager - Photon Sciences x4410 jhall@bnl.gov Donna Dowling, HR Manager - Nuclear & Particle Physics x2754 dowling@bnl.gov Terrence Buck x8715 tbuck@bnl.gov

349

CMPC Marking Resource  

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

June 2012 June 2012 CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 CMPC Marking Resource Examples of Acceptably Marked Classified Matter June 2012 Prepared for U.S. Department of Energy Office of Health, Safety and Security Office of Security Policy CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 i FOREWORD A strong and cohesive information security program is integral to national security. The

350

Japanese resource dependence  

SciTech Connect (OSTI)

This thesis is an examination of Japan's strategic resource dependence and her reliance of the three raw materials-rich regions of Southeast Asia (ASEAN), the Persian Gulf, and Southern Africa. A discussion of the Japanese formula for securing resources in the less developed countries of the 'South' is included along with a brief overview of her onshore resource utilization in business/industry. The roles of direct foreign investment, official development assistance, energy conservation, and Japanese multinationalization are discussed.

Sim, R.W.

1982-03-01T23:59:59.000Z

351

Arctic energy resources  

SciTech Connect (OSTI)

The Arctic is a vulnerable region with immense resources. These range from the replenishable (tidal energy, hydroelectricity, wood, biomass, fish, game, and geothermal energy) to the non-replenishable (coal, minerals, natural gas, hydrocarbon deposits). But the problems of exploiting such resources without damaging the environment of the Arctic are formidable. In this book all aspects are considered: occurrence of energy resources; the technological and economic aspects of exploration and exploitation; the environmental and social impact of technological development.

Rey, L.

1983-01-01T23:59:59.000Z

352

Geothermal Resources and Technologies  

Broader source: Energy.gov [DOE]

This page provides a brief overview of geothermal energy resources and technologies supplemented by specific information to apply geothermal systems within the Federal sector.

353

Resources | Department of Energy  

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

Learned: Peer Exchange Calls Cost-Effectiveness Tool (Beta Version) Home Energy Advisor Publications Additional Resources DOE Residential Programs Home Energy Pros Online...

354

Environmental Resource Management  

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

Environmental Resource Management This division delivers science-based engineering solutions to meet regional and national energy, water and other critical environmental...

355

INL Research Library Resources  

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

and licensed subscriptions to provide the scientific and technical resources needed by INL researchers. Because of license restrictions, many of our subscriptions cannot be...

356

Chapter 13 Cultural Resources  

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

proposed routes for the action alternatives and the extensive area covered by the APE, BPA developed a predictive analysis to assess the potential for cultural resources along...

357

Resources | Jefferson Lab  

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

Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to...

358
359

LANSCE | Lujan Center | Resources  

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

User Resources The links below describe equipment, laboratories, capabilities, and sample environments that are available to users. Users must plan ahead and specify their needs...

360

Manhattan Project: Resources  

Office of Scientific and Technical Information (OSTI)

web site, a number of additional resources are also provided: Reference Materials Maps Photo Gallery To Learn More Library Suggested Readings Background on this Site About this...

Note: This page contains sample records for the topic "total resource estimation" 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

ARM - Other Science Resources  

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

SitesOther Science Resources Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About...

362

Central American resource studies  

SciTech Connect (OSTI)

Los Alamos National Laboratory has been working with five Central American countries to assist in the development of their energy and mineral resources. Since 1985, mineral resources in Costa Rica, peat resources in Costa Rica and Panama, geothermal energy resources in Honduras and Guatemala, and geothermal field development in El Salvador and Costa Rica have been topics of study. This paper presents an overview of this work -- within these proceedings are papers that deal with specific aspects of each topic, and these will be duly noted. 15 refs., 4 figs.

Van Eeckhout, E.; Laughlin, A.W.

1989-01-01T23:59:59.000Z

363

NETL: Natural Gas Resources  

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

Resources Significant volumes of natural gas can also be produced from tight (low permeability) sandstone reservoirs and coal seams, both unconventional reservoir rocks. NETL...

364

Energy Resource Potential  

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

Resource Potential Resource Potential of Methane Hydrate Energy Resource Potential An introduction to the science and energy potential of a unique resource Disclaimer Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

365

A Resource-minimalist Flow Size Histogram Estimator Bruno Ribeiro  

E-Print Network [OSTI]

University of Massachusetts Amherst, MA, 01003 ribeiro@cs.umass.edu Tao Ye Sprint Burlingame, CA, 94010 Tao.Ye@sprint.com Don Towsley Computer Science Department University of Massachusetts Amherst, MA, 01003 towsley insights to network monitoring applications such as traffic profiling, and aids fast detection of security

Massachusetts at Amherst, University of

366

Quantifying the Uncertainty in Estimates of World Conventional Oil Resources.  

E-Print Network [OSTI]

??Since Hubbert proposed the "peak oil" concept to forecast ultimate recovery of crude oil for the U.S. and the world, there have been countless debates… (more)

Tien, Chih-Ming

2010-01-01T23:59:59.000Z

367

Total Adjusted Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

368

Solar total energy project Shenandoah  

SciTech Connect (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

369

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

370

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

6. Total Expenditures for Purchased Energy Sources by Census Region," 6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States"

371

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

372

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

373

Wilderness designation of Bureau of Land Management lands and impacts on the availability of energy resources  

SciTech Connect (OSTI)

In 1964 Congress mandated the establishment of the National Wilderness Preservation System - a collection of federal lands dedicated to the preservation of selected parts of our once vast wilderness. Because wilderness management precludes many traditional land uses, controversy has plagued the efforts of land-management agencies to select and recommend areas for wilderness inclusion. This study examines potential impacts on the supply of energy resources from the possible withdrawal by the Bureau of Land Management (BLM) of some part of the 24.3 million acres of public lands now under study for inclusion in the wilderness system. Except for uranium, the energy-resource potential of the total WSA-acreage is low. Wilderness designation of some WSAs is therefore not expected to cause serious impacts on the future availability of energy resources. Because the significance of land withdrawals by the BLM will depend to some extent on the availability of other federal lands for mineral activities, an up-to-date estimate of the current and future status-of-access to western federal lands for mineral activities was prepared. Overall conclusions of the report are that (1) the inclusion of some BLM land in the National Wilderness Preservation System will not interfere with the nation's required supply of energy resources, (2) there is sufficient federal land currently available in the West for mineral activities, (3) the availability of western federal land for mineral activities will increase in the future, (4) the administration should continue to support the major land-review programs, and (5) the administration should accelerate the review process for WSAs in regions that have a high energy-resource potential.

Oakes, E.H.; Voelker, A.H.

1983-02-01T23:59:59.000Z

374

Physics Resources for Teachers  

E-Print Network [OSTI]

Physics Resources for Teachers University of Wisconsin ­ Madison Department of Physics 1150 University Ave. Madison, WI 53706 wonders@physics.wisc.edu (608) 262-2927 Plasma Physics Web Resources Center Plasma Physics Lab http://science-education.pppl.gov/ Coalition for Plasma Science http

Collar, Juan I.

375

STUDENT EMPLOYMENT HUMAN RESOURCES  

E-Print Network [OSTI]

STUDENT EMPLOYMENT HUMAN RESOURCES GUIDELINE Human Resources | One Washington Square | San José, CA 95192-0046 | 408-924-2250 408-924-2284 (fax) SUBJECT: STUDENT EMPLOYMENT DATE: March 2007 I. PURPOSE / DESCRIPTION Student employees are defined as matriculated students that work part-time in any

Gleixner, Stacy

376

Operating System Resource Management  

E-Print Network [OSTI]

Operating System Resource Management Date: Monday, September 27, 2010 Time: 2:00 ­ 3:00 pm Location allocation and de-allocation by an operating system of processor cores, memory pages, and various types constrained. This talk will propose a scheme for addressing the operating system resource management problem

377

Outstanding Issues For New Geothermal Resource Assessments | Open Energy  

Open Energy Info (EERE)

Outstanding Issues For New Geothermal Resource Assessments Outstanding Issues For New Geothermal Resource Assessments Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Outstanding Issues For New Geothermal Resource Assessments Details Activities (1) Areas (1) Regions (0) Abstract: A critical question for the future energy policy of the United States is the extent to which geothermal resources can contribute to an ever-increasing demand for electricity. Electric power production from geothermal sources exceeds that from wind and solar combined, yet the installed capacity falls far short of the geothermal resource base characterized in past assessments, even though the estimated size of the resource in six assessments completed in the past 35 years varies by thousands of Megawatts-electrical (MWe). The U. S. Geological Survey (USGS)

378

Total quality management implementation guidelines  

SciTech Connect (OSTI)

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

379

Teacher Resource Kit  

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

Teacher Resource Kit Teacher Resource Kit This kit is designed as a resource for teachers who teach grades K-5. It is intended to provide information about the Laboratory and our education resources and to introduce activities that may be useful in the classroom. The kit contains information about the Laboratory's history and current research activities. You will find information applicable to various grade levels that can be tailored to the grade level that you currently teach. Also included are materials and activities that have been obtained from sources outside the Laboratory. Requesting support from Los Alamos National Laboratory The Laboratory and its employees consider it their responsibility to devote resources to improving the quality of life

380

Tri-Lab Resources  

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

Tri-Lab Resources Tri-Lab Resources Tri-Lab Computing Resources Computing resources available to Alliance users as of January 2012. Computing resources available Los Alamos Moonlight - 294 compute nodes, 4,704 cores, 488 TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors with two NVIDIA Tesla GPUs per node, w/ InfiniBand. Mustang - 1,600 compute nodes, 38,400 cores, 353 TF system. 24-core AMD Opteron w/ InfiniBand. Mapache - 592 compute nodes, 4,736 cores, 50.4 TF system. SGI XE1300 dual-socket, quad-core Intel Nehalem processors w/ InfiniBand. Pinto - 154 compute nodes, 2,464 cores, 51.3 TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors w/ Infiniband. Lawrence Livermore Cab - 1,296 nodes, 20,736 cores, 333-TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors w/ InfiniBand. Additional information at Cab

Note: This page contains sample records for the topic "total resource estimation" 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

NREL: Transmission Grid Integration - Data and Resources  

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

Data and Resources Data and Resources NREL offers the following transmission integration-related data and resources. Eastern Wind Dataset A key task of the Eastern Wind Integration and Transmission Study was to develop a dataset of three years of modeled time series wind speed and power. This dataset was designed to help energy professionals perform wind integration studies, compare potential wind sites spatially and temporally, and estimate power production from hypothetical wind plants. Western Wind Dataset A primary task of the Western Wind and Solar Integration Study was to produce a comprehensive dataset that could be used to model the build-out of potential wind plants in the Western United States. This dataset was designed to help energy professionals perform wind integration studies,

382

Total Heart Transplant: A Modern Overview  

E-Print Network [OSTI]

use of the total artificial heart. New England Journal ofJ. (1997). Artificial heart transplants. British medicala total artificial heart as a bridge to transplantation. New

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

383

Improving the Carbon Dioxide Emission Estimates from the Combustion of Fossil Fuels in California  

SciTech Connect (OSTI)

Central to any study of climate change is the development of an emission inventory that identifies and quantifies the State's primary anthropogenic sources and sinks of greenhouse gas (GHG) emissions. CO2 emissions from fossil fuel combustion accounted for 80 percent of California GHG emissions (CARB, 2007a). Even though these CO2 emissions are well characterized in the existing state inventory, there still exist significant sources of uncertainties regarding their accuracy. This report evaluates the CO2 emissions accounting based on the California Energy Balance database (CALEB) developed by Lawrence Berkeley National Laboratory (LBNL), in terms of what improvements are needed and where uncertainties lie. The estimated uncertainty for total CO2 emissions ranges between -21 and +37 million metric tons (Mt), or -6percent and +11percent of total CO2 emissions. The report also identifies where improvements are needed for the upcoming updates of CALEB. However, it is worth noting that the California Air Resources Board (CARB) GHG inventory did not use CALEB data for all combustion estimates. Therefore the range in uncertainty estimated in this report does not apply to the CARB's GHG inventory. As much as possible, additional data sources used by CARB in the development of its GHG inventory are summarized in this report for consideration in future updates to CALEB.

de la Rue du Can, Stephane; Wenzel, Tom; Price, Lynn

2008-08-13T23:59:59.000Z

384

Geothermal resource assessment, South Dakota: Final report  

SciTech Connect (OSTI)

Seven geothermal aquifers in South Dakota contain an accessible resource base of about 11,207 x 10/sup 18/ J. The potentially productive geothermal aquifers are: Deadwood Formation (Cambrian), Winnipeg Formation + Red River Formation + Englewood Limestone (Ordovician through Devonian), Madison Limestone (Mississippian), Minnelusa Formation (Mississippian-Permian), Inyan Kara Group (Cretaceous), and Newcastle Sandstone (Cretaceous). The resource estimate was obtained by first using heat flow, thermal conductivity, temperature gradient, and stratigraphic data to estimate aquifer temperatures. The heat content of each aquifer was determined from the product of the volumetric heat capacity, aquifer volume, and temperature difference between the aquifer and the mean annual temperature for a 14 x 14 grid of 240 km/sup 2/ cells. Geothermal fluid temperatures range from about 120/sup 0/C in the Deadwood Formation in the Williston Basin to about 30/sup 0/C for the Newcastle Sandstone in south-central South Dakota. The area containing the resource lies largely west of the Missouri River. About 10,000 km/sup 2/ of the resource area is characterized by anomalously high heat flow values greater than 100 mW m/sup -2/.

Gosnold, W.D. Jr.

1987-07-01T23:59:59.000Z

385

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

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

386

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

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

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

387

Estimated Cost Description Determination Date:  

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

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

388

Division of Human Resources Human Resources / Attendance and Leave Philosophy  

E-Print Network [OSTI]

Division of Human Resources PHILOSOPHY Human Resources / Attendance and Leave Philosophy Form Leave Act (FMLA). USF augments these provisions with local processes and philosophies and, in some cases

Meyers, Steven D.

389

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

390

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

391

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

392

Performance Period Total Fee Paid FY2001  

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

01 01 $4,547,400 FY2002 $4,871,000 FY2003 $6,177,902 FY2004 $8,743,007 FY2005 $13,134,189 FY2006 $7,489,704 FY2007 $9,090,924 FY2008 $10,045,072 FY2009 $12,504,247 FY2010 $17,590,414 FY2011 $17,558,710 FY2012 $14,528,770 Cumulative Fee Paid $126,281,339 Cost Plus Award Fee DE-AC29-01AL66444 Washington TRU Solutions LLC Contractor: Contract Number: Contract Type: $8,743,007 Contract Period: $1,813,482,000 Fee Information Maximum Fee $131,691,744 Total Estimated Contract Cost: $4,547,400 $4,871,000 $6,177,902 October 2000 - September 2012 Minimum Fee $0 Fee Available EM Contractor Fee Site: Carlsbad Field Office - Carlsbad, NM Contract Name: Waste Isolation Pilot Plant Operations March 2013 $13,196,690 $9,262,042 $10,064,940 $14,828,770 $12,348,558 $12,204,247 $17,590,414 $17,856,774

393

National Geothermal Resource Assessment and Classification |...  

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

Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification presentation...

394

A National Resource  

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

National Resource National Resource for Industry Manufacturing DeMonstration facility As the nation's premier research laboratory, Oak Ridge National Laboratory is one of the world's most capable resources for transforming the next generation of scientific discovery into solutions for rebuilding and revitalizing America's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization, and process technology to reduce risk and accelerate the development and deployment of innovative energy-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first Manufacturing Demonstration Facility (MDF), established at ORNL, helps industry adopt new manufacturing technologies to reduce life-cycle energy and

395

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

396

Etude des flux de leucine : total, catabolisme oxydatif, synthse et catabolisme protique,  

E-Print Network [OSTI]

synthesis and protein degradation - were studied in male rats weighing 160 and 300 g and infused h of infusion. The excretion rate of 14C02was estimated during infusion. Total leucine flux

Boyer, Edmond

397

Responses of primary production and total carbon storage to changes in climate and atmospheric CO? concentration  

E-Print Network [OSTI]

The authors used the terrestrial ecosystem model (TEM, version 4.0) to estimate global responses of annual net primary production (NPP) and total carbon storage to changes in climate and atmospheric CO2, driven by the ...

Xiao, Xiangming.; Kicklighter, David W.; Melillo, Jerry M.; McGuire, A. David.; Stone, Peter H.; Sokolov, Andrei P.

398

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network [OSTI]

Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Surface water Groundwater X X X X X X X X AU 00000003 Oil/ Gas X X X X X X X X Total X X X X X X X Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Total undiscovered petroleum (MMBO or BCFG) Water per oil

Torgersen, Christian

399

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

A set S of vertices in a graph G = ( V , E ) is a total dominating set of G if every vertex of V is adjacent to a vertex in S. We consider total dominating sets of minimum cardinality which have the additional property that distinct vertices of V are totally dominated by distinct subsets of the total dominating set.

Teresa W. Haynes; Michael A. Henning; Jamie Howard

2006-01-01T23:59:59.000Z

400

Locating-total domination in graphs  

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices in a graph G is a total dominating set in G if every vertex of G is adjacent to a vertex in S . We consider total dominating sets S which have the additional property that distinct vertices in V ( G ) ? S are totally dominated by distinct subsets of the total dominating set. Such a set S is called a locating-total dominating set in G , and the locating-total domination number of G is the minimum cardinality of a locating-total dominating set in G . We obtain new lower and upper bounds on the locating-total domination number of a graph. Interpolation results are established, and the locating-total domination number in special families of graphs, including cubic graphs and grid graphs, is investigated.

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Additional Resources | Department of Energy  

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

Additional Resources Additional Resources Additional Resources October 16, 2013 - 4:36pm Addthis The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These resources are organized by: Resource Guides Renewable Energy Planning Planning Construction Operations and Maintenance Commissioning Sample Plans and Documents Resource Guides Whole Building Design Guide (WBDG) WBDG: New Construction and Major Renovation Guiding Principles (WBDG) Leadership in Energy and Environmental Design (LEED) New Construction and Major Renovation Reference Guide Greening Federal Facilities: An Energy, Environmental, and Economic Resource Guide for Federal Facility Managers and Designers

402

Resource Program (pbl/main)  

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

RegDialogue Implementation Regional Dialogue (Post-2006) Subscription Contracts IOUPublic Settlement Slice of the System Billing Procedures Resource Program Firstgov BPA Resource...

403

Developer Resources | Department of Energy  

Office of Environmental Management (EM)

Developer Resources Developer Resources Apps for Energy Apps for Energy The Energy Department is challenging developers to use the Green Button data access program to bring...

404

Sandia National Laboratories: Wind Resources  

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

EnergyWind Resources Wind Resources Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test Facilities Capital...

405

Wind Career Map: Resource List  

Broader source: Energy.gov [DOE]

The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

406

Information Resources | Department of Energy  

Energy Savers [EERE]

Information Resources Information Resources Learn about hydrogen and fuel cells, find publications and technical information, view and download multimedia, read presentation...

407

TEMPORARY SUPPORT HUMAN RESOURCES  

E-Print Network [OSTI]

TEMPORARY SUPPORT HUMAN RESOURCES GUIDELINE Workforce Planning | One Washington Square | San José of the Request for Temporary Support, Workforce Planning will make a determination of the type of temporary

Su, Xiao

408

Resource Adequacy INTRODUCTION  

E-Print Network [OSTI]

whether there are sufficient non-hydro resources available to meet loads when the "fuel" for hydroelectric the amount of water for hydroelectric generation) and temperature (which affects the demand for electricity

409

Human Resource Management Delegation  

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

The notice is to clarifies and updates existing Human Resource Management Delegation Authorities and the levels to which they are delegated. Expired 6-28-97. Does not cancel any directives.

1996-06-28T23:59:59.000Z

410

Human Resources & Rebecca Leinen  

E-Print Network [OSTI]

Human Resources & Training Rebecca Leinen SafetyInformation Systems Chris Smeds Work Management Mark Webb Energy & Utilities Cheryl Gomez Operations & Maintenance Cheryl Gomez, interim Systems Services Delta Force Recycling Sustainability Outreach Office for Sustainability Utility Systems Power

Acton, Scott

411

Total Carbon Dioxide, Hydrographic, and Nitrate Measurements in the  

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

Total Carbon Dioxide, Hydrographic, and Nitrate Measurements in the Southwest Pacific during Austral Autumn, 1990: Results from NOAA/PMEL CGC-90 Cruise. Total Carbon Dioxide, Hydrographic, and Nitrate Measurements in the Southwest Pacific during Austral Autumn, 1990: Results from NOAA/PMEL CGC-90 Cruise. NDP-052 (1995) data Download the Data and ASCII Documentation files of NDP-052 PDF Download a PDF of NDP-052 image Contributed by Marilyn F. Lamb and Richard A. Feely Pacific Marine Environmental Laboratory Seattle, Washington and Lloyd Moore and Donald K. Atwood Atlantic Oceanographic and Meteorological Laboratory Miami, Florida Prepared by Alexander Kozyr* Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee, U.S.A. *Energy, Environment, and Resources Center The University of Tennessee Knoxville, Tennessee Environmental Sciences Division Publication No. 4420 Date Published: September 1995

412

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

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

413

Robust Single-Qubit Process Calibration via Robust Phase Estimation  

E-Print Network [OSTI]

An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].

Shelby Kimmel; Guang Hao Low; Theodore J. Yoder

2015-02-09T23:59:59.000Z

414

Internal Dose Estimates from  

E-Print Network [OSTI]

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

415

U.S. Total Exports  

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

International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT LNG Imports into Cameron, LA LNG Imports into Cove Point, MD LNG Imports into Elba Island, GA LNG Imports into Everett, MA LNG Imports into Freeport, TX LNG Imports into Golden Pass, TX LNG Imports into Gulf Gateway, LA LNG Imports into Gulf LNG, MS LNG Imports into Lake Charles, LA LNG Imports into Neptune Deepwater Port LNG Imports into Northeast Gateway LNG Imports into Sabine Pass, LA U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake Charles, LA LNG Imports from Australia Everett, MA Lake Charles, LA LNG Imports from Brunei Lake Charles, LA LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Equatorial Guinea Elba Island, GA Lake Charles, LA LNG Imports from Indonesia Lake Charles, LA LNG Imports from Malaysia Gulf Gateway, LA Lake Charles, LA LNG Imports from Nigeria Cove Point, MD Elba Island, GA Freeport, TX Gulf Gateway, LA Lake Charles, LA Sabine Pass, LA LNG Imports from Norway Cove Point, MD Sabine Pass, LA LNG Imports from Oman Lake Charles, LA LNG Imports from Peru Cameron, LA Freeport, TX Sabine Pass, LA LNG Imports from Qatar Cameron, LA Elba Island, GA Golden Pass, TX Gulf Gateway, LA Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf Gateway, LA Gulf LNG, MS Lake Charles, LA Neptune Deepwater Port Northeast Gateway Sabine Pass, LA LNG Imports from United Arab Emirates Lake Charles, LA LNG Imports from Yemen Everett, MA Freeport, TX Neptune Deepwater Port Sabine Pass, LA LNG Imports from Other Countries Lake Charles, LA Period: Monthly Annual

416

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG &  

E-Print Network [OSTI]

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG & PHARMACEUTICAL · What Kelly Scientific Resources or staffing agencies are and how they work?they work? · How to work Role: ­ Northern California Recruiting and Business efforts for Kelly Scientific Resources ­ Promote

Puglisi, Joseph

417

A continuous traffic study - estimation of population parameters and the variance of the estimated parameters  

E-Print Network [OSTI]

. 32 5. 88 6. 36 1. 68 13 TABLE 3. 2 ESTIMATED TOTAL 'fONS BY CARRiER Carrier Sample Size ToGs Standard Error Coefficient Variation (/) Maximum Variation 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 '7 l 22.... 37 14. 71 13. 33 12. 48 18. 62 6. 26 7. 07 l. 72 15 3. 4 Traffic Characteristics for a Group of Carri rs The estimation of totals and estimated variances for a group of carriers is merely an extension of formula 3. 1 and 3. 3. In this case...

Dresser, George Brayton

1969-01-01T23:59:59.000Z

418

Probabilistic evaluation of shallow groundwater resources at a hypothetical carbon sequestration site  

SciTech Connect (OSTI)

Carbon sequestration in geologic reservoirs is an important approach for mitigating greenhouse gases emissions to the atmosphere. This study first develops an integrated Monte Carlo method for simulating CO2 and brine leakage from carbon sequestration and subsequent geochemical interactions in shallow aquifers. Then, we estimate probability distributions of five risk proxies related to the likelihood and volume of changes in pH, total dissolved solids, and trace concentrations of lead, arsenic, and cadmium for two possible consequence thresholds. The results indicate that shallow groundwater resources may degrade locally around leakage points by reduced pH and increased total dissolved solids (TDS). The volumes of pH and TDS plumes are most sensitive to aquifer porosity, permeability, and CO2 and brine leakage rates. The estimated plume size of pH change is the largest, while that of cadmium is the smallest among the risk proxies. Plume volume distributions of arsenic and lead are similar to those of TDS. The scientific results from this study provide substantial insight for understanding risks of deep fluids leaking into shallow aquifers, determining the area of review, and designing monitoring networks at carbon sequestration sites.

Dai, Zhenxue; Keating, Elizabeth; Bacon, Diana H.; Viswanathan, Hari; Stauffer, Philip; Jordan, Amy B.; Pawar, Rajesh

2014-03-07T23:59:59.000Z

419

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005 Method of Estimation  

E-Print Network [OSTI]

to estimate total above-ground biomass. Multiplying aboveground biomass with the root:shoot ratio provides an estimate of below-ground biomass. Finally, summing above- and below-ground biomass provides an estimate-carbon for U.S. crops. Crop Reporting units mass per unit (kg) Conversion to Dry matter Harvest Index Root

420

National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment  

SciTech Connect (OSTI)

The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

1982-03-31T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" 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

Coal availability and coal recoverability studies: A reevaluation of the United States coal resources  

SciTech Connect (OSTI)

A cooperative program between the US Geological Survey (USGS), US Bureau of Mines (USBM), and geological agencies of the principal coal-bearing States has began to (1) identify and delineate current major land-use/environmental and technologic/geologic restrictions on the availability of coal resources; (2) estimate the amount of remaining coal resources that may be available for development under those constraints; (3) estimate the amount that can be economically extracted and marketed; and (4) identify possible social and economic disruptions that could occur within local and regional economies as coal resources are exhausted. Within major coal-producing regions, selected 7.5-minute quadrangles are chosen to represent variations in geology, topography, and land-use patterns so that results might be extrapolated throughout the entire region. After identifying State and Federal coal mining regulations, USGS and State scientists consult with local coal-industry engineers, geologists, and mine operators to ascertain local mining practices. Coal bed outcrop lines, current and past mined areas, and restrictions to mining are plotted at 1:24,000 scale and geographic information system (GIS) techniques are applied. Coal availability/recoverability studies have expanded into the central and northern Appalachian regions, Illinois basin, and Powder River basin. The first four basins, with 75% of current US coal production, should be completed by 1998. The total program is designed to cover 150 quadrangles from within the 11 major coal regions of the US. These 11 regions represent 97% of current US coal production. Planned project completion is 2001.

Carter, M.D. [Geological Survey, Reston, VA (United States); Teeters, D.D. [Bureau of Mines, Denver, CO (United States)

1995-12-31T23:59:59.000Z

422

SWERA/Wind Resource Information | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » SWERA/Wind Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Wind Resource Information SWERA wind products provide estimates of how much wind resource is available at potential development sites. SWERA wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m). These are derived from models and satellite and global weather observations

423

The xerolithic geothermal (``hot dry rock``) energy resource of the United States: An update  

SciTech Connect (OSTI)

This report presents revised estimates, based upon the most current geothermal gradient data, of the xerolithic geothermal (``hot dry rock`` or HDR) energy resources of the United States. State-by-state tabular listings are provided of the HDR energy resource base, the accessible resource base, and the potentially useful resource base. The latter further subdivided into components with potential for electricity generation, process heat, and space heat. Comparisons are made with present estimates of fossil fuel reserves. A full-sized geothermal gradient contour map is provided as a supplement in a pocket inside the back cover of the report.

Nunz, G.J.

1993-07-01T23:59:59.000Z

424

Resource Adequacy Implications of Forthcoming EPA Air Quality Regulations  

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

Executive Summary Executive Summary December 2011 Resource Adequacy Implications of Forthcoming EPA Air Quality Regulations RESOURCE ADEQUACY IMPLICATIONS OF FORTHCOMING EPA AIR QUALITY REGULATIONS - EXECUTIVE SUMMARY Executive Summary This report presents the results of an independent assessment by the U.S. Department of Energy (DOE) of the adequacy of U.S. electric generation resources under air pollution regulations being finalized by the U.S. Environmental Protection Agency (EPA). This report does not estimate the economic impacts of EPA regulations, nor does it provide detailed reliability assessments that planning authorities and other stakeholders will need to conduct to ensure deliverability of power and grid reliability during implementation of EPA rules.

425

Natural Resource Management Plan Update  

E-Print Network [OSTI]

Natural Resource Management Plan Update Tim Green Environmental Protection Division Community. Cultural Resources) · Focus on gaining better understanding of site resources · Began or continued managing · Monitoring layers · Cultural Resources ­ WW I, WW II, CCC GIS used for planning ­ NSLS II, LISF, Permits, etc

Homes, Christopher C.

426

The Resources Agency of California  

E-Print Network [OSTI]

· Department of Forestry & Fire Protection · Department of Parks & Recreation · Department of Water Resources

427

Energy Resources for Tornado Season  

Office of Energy Efficiency and Renewable Energy (EERE)

Learn about the Office of Energy Efficiency and Renewable Energy's resources for post-tornado recovery.

428

Energy Resources for Hurricane Season  

Broader source: Energy.gov [DOE]

Learn about the Office of Energy Efficiency and Renewable Energy's resources for post-hurricane recovery.

429

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

430

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

Morita, Mark, M.B.A. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

431

Stakeholder Engagement and Outreach: Policy Resources and Tools  

Wind Powering America (EERE)

Policy Resources and Tools Policy Resources and Tools This page lists wind-related policy resources and tools such as publications, Web resources, and news. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 120 records found. Page 1 of 24, Sorted by descending date Filtered by: Policy 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

432

Stakeholder Engagement and Outreach: Resources for Public Lands  

Wind Powering America (EERE)

Resources Public Power Regional Activities State Activities State Lands Siting Resources for Public Lands This page lists wind-related resources and tools such as publications, Web resources, and news about public lands. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 24 records found. Page 1 of 5, Sorted by descending date Filtered by: Public Lands 1 2 3 4 5 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

433

Stakeholder Engagement and Outreach: Wind Economic Development Resources  

Wind Powering America (EERE)

Development Resources and Tools Development Resources and Tools This page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the Stakeholder Engagement and Outreach initiative's Database Choose a Type of Information All News Publications Web Resource Videos Choose # of Records per Page Default (10 per page) 5 25 50 To search the titles, enter a word or phrase. Start Search Clear Contents Total of 198 records found. Page 1 of 40, Sorted by descending date Filtered by: Econ. Dev. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Next Page >> Date sort by ascending date sort by descending date State sort by ascending state sort by descending state Type of Information Program Area Title sort by ascending title sort by descending title

434

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

435

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

7. Total Expenditures for Purchased Energy Sources by Census Region," 7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

436

Table A14. Total First Use (formerly Primary Consumption) of Energy for All P  

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

4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" 4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row"," "," "," ",," "," "," "," " "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"," "," "," "," "," "," "," "," ",," "

437

Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

438

Table A30. Total Primary Consumption of Energy for All Purposes by Value of  

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

0. Total Primary Consumption of Energy for All Purposes by Value of" 0. Total Primary Consumption of Energy for All Purposes by Value of" "Shipment Categories, Industry Group, and Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," ","(million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row"," "," "," ",," "," "," "," " "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"," "," "," "," "," "," "," "," ",," "

439

"Table A38. Total Expenditures for Purchased Electricity, Steam, and Natural Gas"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" 8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Million Dollars)" ,," Electricity",," Steam" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,,"Total United States"

440

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

Note: This page contains sample records for the topic "total resource estimation" 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

Table A19. Components of Total Electricity Demand by Census Region and  

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

Components of Total Electricity Demand by Census Region and" Components of Total Electricity Demand by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,1.4,1.3,1.9,0.5 "Value of Shipments and Receipts" "(million dollars)"

442

"Table A11. Total Primary Consumption of Combustible Energy for Nonfuel"  

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

1. Total Primary Consumption of Combustible Energy for Nonfuel" 1. Total Primary Consumption of Combustible Energy for Nonfuel" " Purposes by Census Region and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," "," "," ","Natural"," "," ","Coke"," "," " " ","Total","Residual","Distillate","Gas(c)"," ","Coal","and Breeze","Other(d)","RSE" " ","(trillion","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","(trillion","Row"

443

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

444

Table A26. Components of Total Electricity Demand by Census Region, Census Di  

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

Components of Total Electricity Demand by Census Region, Census Division, and" Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,2.1,1.2,2,0.4 "Value of Shipments and Receipts"

445

Team Total Points Beta Theta Pi 2271  

E-Print Network [OSTI]

Bubbles 40 Upset City 30 Team Success 30 #12;Team Total Points Sly Tye 16 Barringer 15 Fire Stinespring 15

Buehrer, R. Michael

446

Water Resources Center Annual Technical Report  

E-Print Network [OSTI]

research effort is resource development. As market prices for natural resources (gold, oil, lumber, other

447

Employment and land-use impacts of resource program elements  

SciTech Connect (OSTI)

The Pacific Northwest Laboratory (PNL) evaluated several power resource alternatives under consideration by the Bonneville Power Administration in its Resource Program Environmental Impact Statement (RPEIS). The purpose of this evaluation was to determine the potential impacts of each alternative in terms of land use and employment. We reviewed the literature that describes land-use and employment impacts to derive estimates of each type of effect. These estimates were scaled to a per-megawatt basis for use as multipliers in the RPEIS analysis. Multipliers for employment were taken from the literature and developed from power plant capital cost estimates. Land-use multipliers were taken from the literature or estimated from existing plants. In this report we compared information sources and estimates to develop the most applicable multipliers. Employment levels required (in terms of employee years per MW of plant capacity) for the construction and operation phases of each energy-generating resource alternative analyzed are shown. The amounts of land required (in terms of acres per MW capacity) for the construction and operation phases of each energy-generating resource alternatives analyzed are also shown.

Shankle, S A; Baechler, M C; Blondin, D W; Grover, S E

1992-03-01T23:59:59.000Z

448

RESPONSES OF PRIMARY PRODUCTION AND TOTAL CARBON STORAGE TO CHANGES IN CLIMATE AND ATMOSPHERIC CO2 CONCENTRATION  

E-Print Network [OSTI]

Model (TEM, version 4.0) to estimate global responses of annual net primary production (NPP) and total. For contemporary climate with 315 ppmv CO2, TEM estimated that global NPP is 47.9 PgC/yr and global total carbon-q climate and +20.6% (9.9 PgC/yr) for the GISS climate. The responses of global total carbon storage are +17

449

Resources | Department of Energy  

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

Resources Resources Resources About one in every four federal employees is a military Veteran. At the Department of Energy, 19 percent of our workforce is made up of veterans. Veterans, their spouses, and dependent children are eligible for a variety of benefits provided by the Federal government. Some of these benefits are connected with service disabilities; others depend on amount of time served and in what capacity. Regardless, any Veteran seeking employment with a Federal agency should be aware of the many employment and work-life assistance programs that are available. Employment Information What is Veterans Preference Eligibility? Read more about employment eligibility for Veterans by visiting the Veterans Preference Eligibility page at FedsHireVets.gov. What are Special Hiring Authorities? To learn about the hiring authorities

450

Relocation Guide, Human Resources  

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

Relocation Information Guide Relocation Information Guide The Human Resources Division is providing this Information Guide to you to help ease the transition of relocating to Long Island. Relocating to a new place can be an exciting as well as stressful time. We have compiled information that can be very helpful with the many issues you may face. You may also seek assistance from the recruiter you work with in Human Resources. Service Disclaimer - This web page contains links to other Internet sites. These links are not endorsements of any products or services and no information in such site has been endorsed or approved by Brookhaven National Laboratory or the Human Resources Division. Here are some of the issues: Cost of living Buying or renting a home Schools in the area

451

Internal Resources Home  

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

Budget Budget Proposals Human Resources Administration Internal Resources Administration--Includes an Administrative Services Directory and an A-Z index. Budget - Contacts Employee Talent Profile System--A system, launched by Jay Keasling in late 2012, populated with profiles of both scientists and non-scientists, meant to be a resource for the creation of teams across the Biosciences Area and the persue of collective funding opportunities both internal and external to the Laboratory. Complete your profile and look for more system enhancements in the coming year. Equipment List (viewable by Berkeley Lab staff only) -- A list of equipment used in the Life Sciences Division. Several equipment needs training prior to use, therefore, please always contact the person responsible if interested in using the equipment. If listed as a contact on

452

Establishing Regional Resource Centers  

Wind Powering America (EERE)

Establishing Regional Resource Centers Establishing Regional Resource Centers July 25, 2013 Coordinator: Welcome and thank you for standing by. At this time all participants are in a listen only mode. To ask a question later during the question and answer session please press star then 1 on your touchtone phone. Today's conference is being recorded. If you have any objections you may disconnect. And I would like to turn it over to Mr. Jonathan Bartlett. Sir, you may begin. Jonathan Bartlett: Thank you very much. This is Jonathan Bartlett from the Department of Energy's Wind and Water Power Technologies Office. Today's WPA Webinar will be on the subject of establishing regional resource centers. I will be joined by Ian Baring-Gould at the National Renewable Energy Laboratory and the

453

Teacher and General Resources  

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

Argonne Argonne Science Project Ideas! Our Teacher and General Resources section provides you with online aids for learning about science, such as a tutorial of science equipment, as well as guides for the metric system. Please select any item below that interests you. Also, if you have an idea for a great teacher resource that we could share, please click our Ideas page. We would love to hear from you! Science Equipment Resources: Online Basic Laboratory Equipment Information An Introduction to Basic Laboratory Equipment All students need to know and understand the function of the equipment that they will be using in the science classroom. This exercise is to help students know a beaker from a bunsen burner! TSwift MB 3200 Microscope Online Tutorial Online Microscope Tutorial

454

Laboratory Computing Resource Center  

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

Computing DOE Logo Computing DOE Logo Search BIO ... Search Argonne Home > BIO home > Laboratory Computing Resource Center BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne Argonne National Laboratory Logo Laboratory Computing Resource Center In 2002 Argonne National Laboratory established the Laboratory Computing Project to enable and promote the use of high-performance computing (HPC) across the Laboratory in support of its varied research missions. The Laboratory Computing Resource Center (LCRC) was established, and in April 2003 LCRC began full operations with ArgonneÂ’s first teraflops computing cluster, Jazz. In 2010 Jazz was replaced by Fusion, with a peak performance of 30 teraflops (and still growing). We just acquired Blues which will a performance of 100 teraflops.

455

Building Energy Software Tools Directory: United Resources Group Lighting  

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

United Resources Group Lighting Conservation United Resources Group Lighting Conservation Comprehensive lighting software designed to analyze existing lighting systems and provide alternative systems that will offer energy-savings retrofit options with corresponding total wattage reduction, percent reduction, kilowatt hour savings, maintenance savings, net air conditioning savings, and a corresponding cost and dollar savings total with payback. Screen Shots Keywords Quantify, Lighting Conservation, Cost and Savings Validation/Testing Regular updates of wattage table. Expertise Required Some familiarity with Microsoft Excel spreadsheets and the codes used to describe existing equipment which is in place at a site. Users 1 Audience Energy Efficiency Consultants, Energy Contractors, Architects, and Building

456

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

457

2003 Pacific Northwest Loads and Resources Study.  

SciTech Connect (OSTI)

The Pacific Northwest Loads and Resources Study (White Book), which is published annually by the Bonneville Power Administration (BPA), establishes one of the planning bases for supplying electricity to customers. The White Book contains projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. The White Book also contains information obtained from formalized resource planning reports and data submittals including those from individual utilities, the Northwest Power and Conservation Council (Council), and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues, although the database that generates the data for the White Book analysis contributes to the development of BPA's inventory and ratemaking processes. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions that include expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. In this loads and resources study, resource availability is compared to an expected level of total retail electricity consumption. The forecasted annual energy electricity retail load plus contract obligations are subtracted from the sum of the projected annual energy capability of existing resources and contract purchases to determine whether BPA and/or the region will be surplus or deficit. Surplus energy is available when resources are greater than loads. This energy could be marketed to increase revenues. Deficits occur when resources are less than loads. Energy deficits could be met by any combination of the following: better-than-critical water conditions, demand-side management and conservation programs, permanent loss of a load (i.e., due to economic conditions or closures), additional contract purchases, and/or new generating resources. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA). The PNCA defines the planning and operation of seventeen U.S. Pacific Northwest utilities and other parties with generating facilities within the region's hydroelectric (hydro) system. The hydroregulation study used for the 2003 White Book incorporates measures from the National Oceanographic and Atmospheric Administration Fisheries (NOAA Fisheries) Biological Opinion dated December 2000, and the U.S. Fish and Wildlife Service's 2000 Biological Opinion (2000 FCRPS BiOps) for the Snake River and Columbia River projects. These measures include: (1) Increased flow augmentation for juvenile fish migrations in the Snake and Columbia rivers in the spring and summer; (2) Mandatory spill requirements at the Lower Snake and Columbia dams to provide for non-turbine passage routes for juvenile fish migrants; and (3) Additional flows for Kootenai River white sturgeon in the spring. The hydroregulation criteria for this analysis includes: an updated Detailed Operation Plan for Treaty reservoirs for Operating Year (OY) 2004, updated PNCA planning criteria for OY 2003, and revised juvenile fish bypass spill levels for 2000 FCRPS BiOps implementation. The 2003 White Book is presented in two documents: (1) this summary document of Federal system and PNW region loads and resources, and (2) a technical appendix which presents regional loads, grouped by major PNW utility categories, and detailed contract and resource information. The technical appendix is available only in electronic form. Individual customer information regarding marketer contracts is not detailed due to confidentiality agreements. The 2003 White Book analysis updates the December 2002 White Book. This analysis projects the yearly average energy consumption and resource availability

United States. Bonneville Power Administration.

2003-12-01T23:59:59.000Z

458

Resources: ADEPS: LANL Inside  

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

ADEPS Resources ADEPS Resources ADEPS Facilities & Institutes Institute for Multiscale Materials Studies (IMMS) Materials Design Institute Milagro Gamma-Ray Observatory Quantum Institute (QI) Superconductivity Technology Center (STC) Trident Laser Facility Weapons Neutron Research Facility (WNR) ADEPS Science News LA Science, LANSCE Special Edition #30 (pdf) MPA Matters Physics research in the news Materials research highlights Materials facilities and capabilities Materials research in the news Conferences & Meetings Lujan Seminar Series MS Cookies and Tea PT Colloquium Quantum Lunch National User Facilities Center for Integrated Nanotechnologies (CINT) Los Alamos Neutron Science Center (LANSCE) National High Magnetic Field Laboratory (NHMFL) Professional Societies & National Academies

459

Information Resources: Tools  

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

Tools Tools Below are links to tools that assist users with project planning and analysis. Residential Lighting Usage Estimate Tool The Residential Lighting Usage Estimate Tool is a companion to the report, "Residential Lighting End-Use Consumption Study," which developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption. The tool contains the full set of estimates produced by methodology described in the study. Simple Modular LED Cost Model (LEDCOM) The LED Cost Model provides a simplified method for analyzing the manufacturing costs of an LED package, and enables those involved in the manufacture of LED packages to evaluate the relative impact of changes made at different points in the manufacturing process on the final LED package cost.

460

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

Note: This page contains sample records for the topic "total resource estimation" 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

Million Cu. Feet Percent of National Total  

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

38 38 Nevada - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 4 4 4 3 4 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 4 4 4 3 4

462

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Idaho - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

463

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Washington - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

464

Million Cu. Feet Percent of National Total  

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

0 0 Maine - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

465

Million Cu. Feet Percent of National Total  

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

8 8 Minnesota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

466

Million Cu. Feet Percent of National Total  

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

2 2 South Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

467

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 North Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

468

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Iowa - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

469

Million Cu. Feet Percent of National Total  

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

4 4 Massachusetts - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

470

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Minnesota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

471

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 New Jersey - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

472

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Vermont - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

473

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Wisconsin - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

474

Million Cu. Feet Percent of National Total  

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

8 8 North Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

475

Million Cu. Feet Percent of National Total  

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

2 2 New Jersey - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

476

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Maryland - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 7 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells 35 28 43 43 34 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 35

477

Million Cu. Feet Percent of National Total  

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

0 0 New Hampshire - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

478

Million Cu. Feet Percent of National Total  

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

2 2 Maryland - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 7 7 7 8 9 Production (million cubic feet) Gross Withdrawals From Gas Wells 28 43 43 34 44 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 28

479

Million Cu. Feet Percent of National Total  

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

2 2 Missouri - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 53 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

480

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Massachusetts - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

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481

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 South Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

482

Million Cu. Feet Percent of National Total  

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

0 0 Rhode Island - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

483

CO2/EOR and Geological Carbon Storage Resource Potential in the Niagaran Pinnacle Reef Trend, Lower Michigan, USA  

Science Journals Connector (OSTI)

Abstract Early Silurian age, Niagaran pinnacle reef trend (NPRT) oil fields in the Guelph Formation in Northern Lower Michigan (NNPRT) comprise a giant oil province with nearly 63.6 million cubic meters (Mm3) of cumulative petroleum and 680 billion cubic meters (Bm3) of natural gas production (through 2010) from over 700 discrete reservoirs at depths of 800-2100 m. Several NNPRT fields are the main target of a proposed, DOE-NETL funded, large scale carbon dioxide (CO2) utilization and sequestration project. The NNPRT comprises closely-spaced, but highly geologically compartmentalized and laterally discontinuous oil and gas fields many of which have either reached or are nearing their economic limit in primary production mode. Total oil production from the largest 207 oil fields in the NNPRT, each with more than 80,000 m3 of cumulative oil production per field, constitutes 86% or 54.6 Mm3 of trend oil production totals and are considered most likely targets for CO2/EOR activities in the future. We have evaluated regional CO2/Enhanced Oil Recovery (EOR) potential in these NNPRT fields from historic production data in addition to recovery efficiencies observed in seven, on-going, commercial CO2/EOR projects and determined that incremental CO2/EOR potential in these fields ranges from 22-33 Mm3. We have also evaluated trend-wide Geological Storage Resource (GSR) potential using 2 different approaches: 1) a produced fluid volumes approach, and 2) a gross storage capacity approach using petrophysical well log estimates of net, effective porosity in NNPRT field wells and estimates of reservoir acreage from GIS data. These approaches provide robust low and high estimates of more than 200 Mmt but less than 500 Mmt (respectively) for Geological Storage Resource (GSR) potential in the NNPRT.

David Barnes; Bill Harrison; G. Michael Grammer; Jason Asmus

2013-01-01T23:59:59.000Z

484

Methodology for Estimating Reductions of GHG Emissions from Mosaic  

Open Energy Info (EERE)

Methodology for Estimating Reductions of GHG Emissions from Mosaic Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Agency/Company /Organization: World Bank Sector: Land Focus Area: Forestry Topics: Co-benefits assessment, GHG inventory, Resource assessment Resource Type: Publications Website: wbcarbonfinance.org/docs/REDD_Mosaic_Methodology.pdf Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation Screenshot References: Methodology for Estimating Reductions of GHG Emissions from Mosaic Deforestation[1] Overview "This methodology is for project activities that reduce emissions of greenhouse gases (GHG) from mosaic deforestation and, where relevant and

485

Compare All CBECS Activities: Total Energy Use  

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

Total Energy Use Total Energy Use Compare Activities by ... Total Energy Use Total Major Fuel Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 5.7 quadrillion Btu of all major fuels (electricity, natural gas, fuel oil, and district steam or hot water) in 1999. Office buildings used the most total energy of all the building types, which was not a surprise since they were the most common commercial building type and had an above average energy intensity. Figure showing total major fuel consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Major Fuel Consumption per Building by Building Type Because there were relatively few inpatient health care buildings and they tend to be large, energy intensive buildings, their energy consumption per building was far above that of any other building type.

486

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e × nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

487

Arkansas Water Resources Center  

E-Print Network [OSTI]

Keywords --Algal Assay/Nutrients/Heavy Metals/Toxicity #12;TABLE OF CONTENTS Page Abstract. i ListArkansas Water Resources Center ALGAL GROWTH POTENTIALS AND HEAVY METAL CONCENTRATIONS) demonstrated the probable inhibition of algal growth potential by heavy metals in upper Beaver Lake. Upper

Soerens, Thomas

488

Engineering and Mineral Resources  

E-Print Network [OSTI]

News ????????????????? ® College of Engineering and Mineral Resources Winter 2008 table of contents. . . . . . . . . . . . . . . . . . . . 7 wvCROSSROADS DepartmentofCivilandEnvironmentalEngineering Civil engineering exchange program and environmental engineering with a focus in transportation will have the opportunity to study abroad as part

Mohaghegh, Shahab

489

ResourceBounded Information  

E-Print Network [OSTI]

Query Input l Word processing package for aMac. l $200 price limit. l Search process should take 10 min Features l Active search and discovery. l Resource Bounded Reasoning. l Goal­driven and) C (75% 6) (25% 4) enables Subtask Relation Enables NLE Q = Quality D = Duration C = Cost Task

Raja, Anita

490

Poster Resources Poster Planning  

E-Print Network [OSTI]

Poster Resources Poster Planning � Discovery Day: Tips for Successful Posters by University of South Carolina Office of Undergraduate Research � Creating Effective Poster Presentations by George Hess, Kathryn Tosney, Leon Liegel http://www.ncsu.edu/project/posters/NewSite/index.html � How to Write

Almor, Amit

491

Semantic resource framework  

Science Journals Connector (OSTI)

The Semantic Resource Framework (SRF) is a multi-level description of the data sources for search computing applications. It responds to the need of having a structured representation of search services, amenable to service exploration, selection, and ... Keywords: ontology, search services, semantic annotation, service description, service repository

Marco Brambilla; Alessandro Campi; Stefano Ceri; Silvia Quarteroni

2011-01-01T23:59:59.000Z

492

LIBRARY RESOURCES FOR FACULTY  

E-Print Network [OSTI]

LIBRARY RESOURCES FOR FACULTY #12;Meet Us Pictured here are just a few of the people at the University of Toronto Libraries who support teaching, learning and research every day. Come in and say hello, Information Technology Services and OCUL Scholars Portal staff, Library Instruction, Information Commons Help

493

Water Resources Policy & Economics  

E-Print Network [OSTI]

Water Resources Policy & Economics FOR 4984 Selected Course Topics · Appropriative and riparian water institutions · Incentives for conservation · Water rights for in-stream environmental use · Surface water-groundwater management · Water quality regulations · Water markets · Economic and policy

Buehrer, R. Michael

494

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

E-Print Network [OSTI]

energy use intensities (EUI) for health care buildings,energy use intensities (EUI) for health care buildings, CEUScompiles the total building EUI estimates presented for “

Singer, Brett C.

2010-01-01T23:59:59.000Z

495

U.S. Hydropower Resource Assessment - California  

SciTech Connect (OSTI)

The U.S. Department of Energy is developing an estimate of the underdeveloped hydropower potential in the United States. For this purpose, the Idaho National Engineering and Environmental Laboratory developed a computer model called Hydropower Evaluation Software (HES). HES measures the undeveloped hydropower resources available in the United States, using uniform criteria for measurement. The software was developed and tested using hydropower information and data provided by the Southwestern Power Administration. It is a menu-driven program that allows the personal computer user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes present, and generate reports based on these suitability factors. This report describes the resource assessment results for the State of California.

A. M. Conner; B. N. Rinehart; J. E. Francfort

1998-10-01T23:59:59.000Z

496

US hydropower resource assessment for Utah  

SciTech Connect (OSTI)

The Department of Energy is developing an estimate of the hydropower development potential in this country. The Hydropower Evaluation Software (HES) is a computer model that was developed by the Idaho National Engineering Laboratory for this purpose. The HES measures the potential hydropower resources available in the United States, using uniform criteria for measurement. The software was developed and tested using hydropower information and data provided by the Southwestern Power Administration. It is a dBASE menu-driven software application that allows the personal computer user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes present, and generate reports based on these suitability factors. This report details the resource assessment results for the state of Utah.

Francfort, J.E.

1993-12-01T23:59:59.000Z

497

US hydropower resource assessment for Colorado  

SciTech Connect (OSTI)

The US Department of Energy is developing an estimate of the hydropower development potential in this country. Hydropower Evaluation Software (HES) is a computer model that was developed by the Idaho National Engineering Laboratory for this purpose. HES measures the potential hydropower resources available in the United States, using uniform criteria for measurement. The software was developed and tested using hydropower information and data provided by the Southwestern Power Administration. It is a dBASE, menu-driven software application. HES allows the personal computer user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes present, and generate reports based on these suitability factors. This report details the resource assessment results for the State of Colorado.

Francfort, J.E.

1994-05-01T23:59:59.000Z

498

Uranium 2014 resources, production and demand  

E-Print Network [OSTI]

Published every other year, Uranium Resources, Production, and Demand, or the "Red Book" as it is commonly known, is jointly prepared by the OECD Nuclear Energy Agency and the International Atomic Energy Agency. It is the recognised world reference on uranium and is based on official information received from 43 countries. It presents the results of a thorough review of world uranium supplies and demand and provides a statistical profile of the world uranium industry in the areas of exploration, resource estimates, production and reactor-related requirements. It provides substantial new information from all major uranium production centres in Africa, Australia, Central Asia, Eastern Europe and North America. Long-term projections of nuclear generating capacity and reactor-related uranium requirements are provided as well as a discussion of long-term uranium supply and demand issues. This edition focuses on recent price and production increases that could signal major changes in the industry.

Organisation for Economic Cooperation and Development. Paris

2014-01-01T23:59:59.000Z

499

Valuation of ecological resources  

SciTech Connect (OSTI)

Ecological resources are resources that have functional value to ecosystems. Frequently, these functions are overlooked in terms of the value they provide to humans. Environmental economics is in search of an appropriate analysis framework for such resources. In such a framework, it is essential to distinguish between two related subsets of information: (1) ecological processes that have intrinsic value to natural ecosystems; and (2) ecological functions that are values by humans. The present study addresses these concerns by identifying a habitat that is being displaced by development, and by measuring the human and ecological values associated with the ecological resources in that habitat. It is also essential to determine which functions are mutually exclusive and which are, in effect, complementary or products of joint production. The authors apply several resource valuation tools, including contingent valuation methodology (CVM), travel cost methodology (TCM), and hedonic damage-pricing (HDP). One way to derive upper-limit values for more difficult-to-value functions is through the use of human analogs, because human-engineered systems are relatively inefficient at supplying the desired services when compared with natural systems. Where data on the relative efficiencies of natural systems and human analogs exist, it is possible to adjust the costs of providing the human analog by the relative efficiency of the natural system to obtain a more realistic value of the function under consideration. The authors demonstrate this approach in an environmental economic case study of the environmental services rendered by shrub-steppe habitats of Benton County, Washington State.

Scott, M.J.; Bilyard, G.R.; Link, S.O.; Ricci, P.F.; Seely, H.E.; Ulibarri, C.A.; Westerdahl, H.E.

1995-04-01T23:59:59.000Z

500

Transmission/Resource Library/Resources | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Transmission/Resource Library/Resources < Transmission‎ | Resource Library(Redirected from Transmission/Resource Library/Public Involvement) Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Public Participation for Interstate Transmission Public participation is a requirement of any project that must comply with