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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

Contractor: Contract Number: Contract Type: Total Estimated  

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

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...

3

Contractor: Contract Number: Contract Type: Total Estimated  

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

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  

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

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

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

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

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...

6

Preliminary petroleum resource estimates for Indonesia  

SciTech Connect

Of about 44 sedimentary basins along the 2900 mi east-west extent of Indonesia, 13 basins are believed to contain practically all of Indonesia's future petroleum resources. Western Indonesia, underlain by the Asian (Sunda) continental block, comprises the Sumatra-Java archipelago, the island of Kalimantan, and the intervening Sunda Shelf. This area contains almost all of the Indonesian petroleum reserves, and its exploration has reached early maturity. The reserves are concentrated in the five larger inner-arc basins of the archipelago and in the three rifted basins of the Kalimantan-Sunda Shelf area. Eastern Indonesia is essentially Irian Jaya (western New Guinea) and the adjoining shelf. The north edge of the Australian-New Guinea continental block has been successively rifted, compressed, and wrenched along its northern boundary with the Pacific plate. Exploration of the three major basins in this tectonic zone is still in an early stage. Preliminary most-likely estimates of the undiscovered recoverable petroleum resources of Indonesia are approximately 7 billion bbl of oil and 70 tcf of gas (in addition to an estimated 70 tcf of discovered gas not yet assigned to reserves). More than 90% of the undiscovered petroleum resources are in western Indonesia, but the best chances for unknown giant discoveries may be in the frontier Irian Jaya of eastern Indonesia.

Kingston, J.

1986-05-01T23:59:59.000Z

7

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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

8

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

9

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

10

Estimating the Value of Electricity Storage Resources in Electricity  

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

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

11

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

DOE Green Energy (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

12

Comparison of Historical Satellite Based Estimates of Solar Radiation Resources with Recent Rotating Shadowland Radiometer Measurements  

Science Conference Proceedings (OSTI)

Satellite-based solar radiation estimates have recently been incorporated into the 1990-2005 update to the 1961-1990 U.S. National Solar Radiation Database (NSRDB). The National Aeronautics and Space Administration (NASA) also supplies satellite-based estimates of solar radiation. The usefulness of such data with respect to solar resources for site selection and designing solar energy conversion systems is often questioned. 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. We compare the most recent shadowband radiometer MMDT with a complement of thermopile 'first class' solar radiometers at one site. Quantitative analysis shows that in most cases, the long-term average MMDT and measured data are comparable, within 10% of each other for global, and 20% for direct-radiation MMDT.

Myers, D.

2009-01-01T23:59:59.000Z

13

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

14

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

Science Conference Proceedings (OSTI)

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

Porro, C.; Augustine, C.

2012-04-01T23:59:59.000Z

15

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

Science Conference Proceedings (OSTI)

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

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

2012-09-01T23:59:59.000Z

16

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

Science Conference Proceedings (OSTI)

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

Esposito, A.; Augustine, C.

2012-04-01T23:59:59.000Z

17

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

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

18

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

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

19

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

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

20

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

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

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

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

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

22

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

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

23

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

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

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 resource costs of data-intensive workloads in public clouds  

Science Conference Proceedings (OSTI)

The promise of "infinite" resources given by the cloud computing paradigm has led to recent interest in exploiting clouds for large-scale data-intensive computing. In this paper, we present a model to estimate the resource costs for executing data-intensive ... Keywords: cloud computing, cost model, resource provisioning

Rizwan Mian; Patrick Martin; Farhana Zulkernine; Jose Luis Vazquez-Poletti

2012-12-01T23:59:59.000Z

26

Comparative cost analyses: total flow vs other power conversion systems for the Salton Sea Geothermal Resource  

SciTech Connect

Cost studies were done for Total Flow, double flash, and multistage flash binary systems for electric Energy production from the Salton Sea Geothermal Resource. The purpose was to provide the Department of energy's Division of Geothermal Energy with information by which to judge whether to continue development of the Total Flow system. Results indicate that the Total Flow and double flash systems have capital costs of $1,135 and $1,026 /kW with energy costs of 40.9 and 39.7 mills/kW h respectively. The Total Flow and double flash systems are not distinguishable on a cost basis alone; the multistage flash binary system, with capital cost of $1,343 /kW and energy cost of 46.9 mills/kW h, is significantly more expensive. If oil savings are considered in the total analysis, the Total Flow system could save 30% more oil than the double flash system, $3.5 billion at 1978 oil prices.

Wright, G.W.

1978-09-18T23:59:59.000Z

27

Comparative cost analyses: total flow vs other power conversion systems for the Salton Sea Geothermal Resource  

DOE Green Energy (OSTI)

Cost studies were done for Total Flow, double flash, and multistage flash binary systems for electric Energy production from the Salton Sea Geothermal Resource. The purpose was to provide the Department of energy's Division of Geothermal Energy with information by which to judge whether to continue development of the Total Flow system. Results indicate that the Total Flow and double flash systems have capital costs of $1,135 and $1,026 /kW with energy costs of 40.9 and 39.7 mills/kW h respectively. The Total Flow and double flash systems are not distinguishable on a cost basis alone; the multistage flash binary system, with capital cost of $1,343 /kW and energy cost of 46.9 mills/kW h, is significantly more expensive. If oil savings are considered in the total analysis, the Total Flow system could save 30% more oil than the double flash system, $3.5 billion at 1978 oil prices.

Wright, G.W.

1978-09-18T23:59:59.000Z

28

Impact of software resource estimation research on practice: a preliminary report on achievements, synergies, and challenges  

Science Conference Proceedings (OSTI)

This paper is a contribution to the Impact Project in the area of software resource estimation. The objective of the Impact Project has been to analyze the impact of software engineering research investments on software engineering practice. The paper ... Keywords: impact project, software resource estimation

Barry Boehm; Ricardo Valerdi

2011-05-01T23:59:59.000Z

29

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

30

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

31

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

NLE Websites -- All DOE Office Websites (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

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

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.....................................................

38

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.....................................................

39

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......................................

40

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

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

US areal wind resource estimates considering environmental and land-use exclusions  

DOE Green Energy (OSTI)

In support of the US Department of Energy's National Energy Strategy initiative, estimates of the land area with various levels of wind energy resource have been developed for each state in the contiguous United States. The estimates are based on published wind resource data and account for the exclusion of some land owing to environmental of land-use considerations. These exclusions assume that 100% of the environmentally sensitive land and various percentages of land designated as urban, agricultural or range would be unavailable for wind energy development. Despite these exclusions, the amount of wind resource thus estimated is surprisingly large. For example, estimates of available wind resource and resultant wind electric potential from advanced turbine technology show that a group of 12 states in the midsection of the country could produce more than three times the nation's 1987 electric energy consumption. 1 ref., 7 figs., 1 tab.

Elliott, D.L.; Wendell, L.L.; Gower, G.L.

1990-09-01T23:59:59.000Z

42

US areal wind resource estimates considering environmental and land-use exclusions  

SciTech Connect

In support of the US Department of Energy's National Energy Strategy initiative, estimates of the land area with various levels of wind energy resource have been developed for each state in the contiguous United States. The estimates are based on published wind resource data and account for the exclusion of some land owing to environmental of land-use considerations. These exclusions assume that 100% of the environmentally sensitive land and various percentages of land designated as urban, agricultural or range would be unavailable for wind energy development. Despite these exclusions, the amount of wind resource thus estimated is surprisingly large. For example, estimates of available wind resource and resultant wind electric potential from advanced turbine technology show that a group of 12 states in the midsection of the country could produce more than three times the nation's 1987 electric energy consumption. 1 ref., 7 figs., 1 tab.

Elliott, D.L.; Wendell, L.L.; Gower, G.L.

1990-09-01T23:59:59.000Z

43

Cost Estimating Tools and Resources for Addressing Sites Under  

E-Print Network (OSTI)

The U.S. Environmental Protection Agency is charged by Congress with protecting the Nation’s land, air, and water resources. Under a mandate of national environmental laws, the Agency strives to formulate and implement actions leading to a compatible balance between human activities and the ability of natural systems to support and nurture life. To meet this mandate, EPA’s research program is providing data and technical support for solving environmental problems today and building a science knowledge base necessary to manage our ecological resources wisely, understand how pollutants affect our health, and prevent or reduce environmental risks in the future. The National Risk Management Research Laboratory is the Agency’s center for investigation of technological and management approaches for reducing risks from threats to human health and the environment. The focus of the Laboratory’s research program is on methods for the prevention and control of pollution to air, land, water and subsurface

Sites Under The Brownfields; The Brownfields Initiative

1999-01-01T23:59:59.000Z

44

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

45

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

46

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...............................

47

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

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

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

48

Estimation Methodology for Total and Elemental Mercury Emissions from Coal-Fired Power Plants  

Science Conference Proceedings (OSTI)

This report provides a tool for estimating total and speciated mercury emissions from coal-fired power plants. The mercury emissions methodology is based on EPRI's analyses of the results from the U.S. Environmental Protection Agency (EPA) Mercury Information Collection Request (ICR). The Mercury ICR required owner/operators of coal-fired electric utility steam generating units to report for calendar year 1999 the quantity of fuel consumed and the mercury content of that fuel. In addition, 84 power plant...

2001-04-18T23:59:59.000Z

49

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

DOE Green Energy (OSTI)

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

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

2006-11-01T23:59:59.000Z

50

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

DOE Green Energy (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

51

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 over the timing of peak world conventional oil production rate and ultimate recovery. From review of the literature, forecasts were grouped into those that are like Hubbert's with an imminent peak, and those that do not predict an imminent peak. Both groups have bases for their positions. Viewpoints from the two groups are polarized and the rhetoric is pointed and sometimes personal. A big reason for the large divide between the two groups is the failure of both to acknowledge the significant uncertainty in their estimates. Although some authors attempt to quantify uncertainty, most use deterministic methods and present single values, with no ranges. This research proposes that those that do attempt to quantify uncertainty underestimate it significantly. The objective of this thesis is to rigorously quantify the uncertainty in estimates of ultimate world conventional oil production and time to peak rate. Two different methodologies are used. The first is a regression technique based on historical production data using Hubbert's model and the other methodology uses mathematical models. However, I conduct the analysis probabilistically, considering errors in both the data and the model, which results in likelihood probability distributions for world conventional oil production and time to peak rate. In the second method, I use a multiple-experts analysis to combine estimates from the multitude of papers presented in the literature, yielding an overall distribution of estimated world conventional oil production. Giving due consideration to uncertainty, Hubbert-type mathematical modeling results in large uncertainty ranges that encompass both groups of forecasts (imminent peak and no imminent peak). These ranges are consistent with those from the multiple-experts analysis. In short, the industry does not have enough information at this time to say with any reliability what the ultimate world conventional oil production will be. It could peak soon, somewhere in the distant future, or somewhere in between. It would be wise to consider all of these possible outcomes in planning and making decisions regarding capital investment and formulation of energy policy.

Tien, Chih-Ming

2009-12-01T23:59:59.000Z

52

Estimating Total Discharge in the Yangtze River Basin Using Satellite-Based Observations  

E-Print Network (OSTI)

Abstract: The measurement of total basin discharge along coastal regions is necessary for understanding the hydrological and oceanographic issues related to the water and energy cycles. However, only the observed streamflow (gauge-based observation) is used to estimate the total fluxes from the river basin to the ocean, neglecting the portion of discharge that infiltrates to underground and directly discharges into the ocean. Hence, the aim of this study is to assess the total discharge of the Yangtze River (Chang Jiang) basin. In this study, we explore the potential response of total discharge to changes in precipitation (from the Tropical Rainfall Measuring Mission—TRMM), evaporation (from four versions of the Global Land Data Assimilation—GLDAS, namely, CLM, Mosaic, Noah and VIC), and water-storage changes (from the Gravity Recovery and Climate Experiment—GRACE) by using the terrestrial water budget method. This method has been validated by comparison with the observed streamflow, and shows an agreement with a root mean square error (RMSE) of 14.30 mm/month for GRACE-based discharge and 20.98 mm/month for that derived from precipitation minus evaporation (P ? E). This improvement of approximately 32 % indicates that monthly terrestrial water-storage

Vagner G. Ferreira; Zheng Gong; Xiufeng He; Yonglei Zhang; Samuel A. Andam-akorful

2013-01-01T23:59:59.000Z

53

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

SciTech Connect

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

54

Interim report on GAO's review of the total cost estimate for the Clinch River Breeder Reactor project  

Science Conference Proceedings (OSTI)

The following sctions discuss (1) the process used by the DOE to estimate CRBR project costs; (2) the inflation allowance used in DOE's cost estimate, which could overstate CRBR costs; (3) the cost of plutonium, revenue projections, and contingency allowances, which may understate the total cost estimate; and (4) several items which are not included in the cost estimate but which, in our view, either will or could result in cost to the Government.

Not Available

1982-09-23T23:59:59.000Z

55

Conceptual study for total utilization of an intermediate temperature geothermal resource  

DOE Green Energy (OSTI)

A multi-use, integrated project plan has been developed for the combined electrical and direct utilization of an intermediate temperature geothermal resource. This concept addresses an integrated project plan with industrial participation, which could make a significant contribution to the national plan for energy independence, by creating new and realistic energy choices for the immediate future.

Swink, D.G.; Schultz, R.J.

1976-04-01T23:59:59.000Z

56

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

E-Print Network (OSTI)

Total embodied energy was highest for the hotel subsector,School Hotel The total non-operational embodied energy ofEnergy, Reference Case) Million Tonnes CO2 Hospital Hotel

Fridley, David G.

2008-01-01T23:59:59.000Z

57

Geothermal resource base of the world: a revision of the Electric Power Research Institute's estimate  

DOE Green Energy (OSTI)

Review of the Electric Power Research Institute's (EPRI) method for calculating the geothermal resource base of a country shows that modifications are needed for several of the assumptions used in the calculation. These modifications include: (1) separating geothermal belts into volcanic types with a geothermal gradient of 50{sup 0}C/km and complex types in which 80% of the area has a temperature gradient of 30{sup 0}C/km and 20% has a gradient of 45{sup 0}C/km, (2) using the actual mean annual temperature of a country rather than an assumed 15{sup 0}C average ambient temperature, and (3) making separate calculations for the resource stored in water/brine and that stored in rock. Comparison of this method (Revised EPRI) for calculating a geothermal resource base with other resource base estimates made from a heat flow map of Europe indicates that the technique yields reasonable values. The calculated geothermal resource bases, stored in water and rock to a depth of 5 km, for each country in the world are given. Approximately five times as much energy is stored in rock as is stored in water.

Aldrich, M.J.; Laughlin, A.W.; Gambill, D.T.

1981-04-01T23:59:59.000Z

58

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

59

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

E-Print Network (OSTI)

component of China’s total energy consumption mix. However,China-specific factors were used to calculate the energy mix

Fridley, David G.

2008-01-01T23:59:59.000Z

60

Estimation procedures and error analysis for inferring the total plutonium (Pu) produced by a graphite-moderated reactor  

Science Conference Proceedings (OSTI)

Graphite isotope ratio method (GIRM) is a technique that uses measurements and computer models to estimate total plutonium (Pu) production in a graphite-moderated reactor. First, isotopic ratios of trace elements in extracted graphite samples from the target reactor are measured. Then, computer models of the reactor relate those ratios to Pu production. Because Pu is controlled under nonproliferation agreements, an estimate of total Pu production is often required, and a declaration of total Pu might need to be verified through GIRM. In some cases, reactor information (such as core dimensions, coolant details, and operating history) are so well documented that computer models can predict total Pu production without the need for measurements. However, in most cases, reactor information is imperfectly known, so a measurement and model-based method such as GIRM is essential. Here, we focus on GIRM’s estimation procedure and its associated uncertainty. We illustrate a simulation strategy for a specific reactor that estimates GIRM’s uncertainty and determines which inputs contribute most to GIRM’s uncertainty, including inputs to the computer models. These models include a ‘‘local’’ code that relates isotopic ratios to the local Pu production, and a ‘‘global’’ code that predicts the Pu production shape over the entire reactor. This predicted shape is included with other 3D basis functions to provide a ‘‘hybrid basis set’’ that is used to fit the local Pu production estimates. The fitted shape can then be integrated over the entire reactor to estimate total Pu production. This GIRM evaluation provides a good example of several techniques of uncertainty analysis and introduces new reasons to fit a function using basis functions in the evaluation of the impact of uncertainty in the true 3D shape.

Heasler, Patrick G.; Burr, Tom; Reid, Bruce D.; Gesh, Christopher J.; Bayne, Charles K.

2006-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "total resource estimation" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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61

Estimation of Liquid Cloud Properties that Conserve Total-Scene Reflectance Using Satellite Measurements  

Science Conference Proceedings (OSTI)

A new method of deriving statistical moments related to the distribution of liquid water path over partially cloudy scenes is tested using a satellite cloud climatology. The method improves the ability to reconstruct total-scene visible ...

Michael J. Foster; Ralf Bennartz; Andrew Heidinger

2011-01-01T23:59:59.000Z

62

Resources  

NLE Websites -- All DOE Office Websites (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

63

Coal resource estimation in the Bayir field, Yatagan-Mugla, SW Turkey  

SciTech Connect

This study focuses on some coal properties and calculation of coal resources with two classical (isopach and polygon) methods in the Bayir field, Yatagan-Mugla, which is located in southwestern Anatolia. This field has not been mined because it is still in the exploration stage. A productive coal seam of Early (?)-Middle Miocene age has a mineable coal thickness of 1.25 m to 18.01 m. Proximate analysis results indicated that this coal seam contains high moisture, ash, volatile matter, total sulphur content, and net calorific values. The weighted average mineable coal thickness calculated from the isopachs is 7.52 m and 7.82 m from polygonal methods. The in situ tonnages with isopach and polygonal methods were calculated to be 122.8 Mt and 130 Mt, respectively. The average value of the two methods shows 126.4 Mt in situ coal tonnages. Total amount of the in situ mineable coal resources is 77.7 Mt, which indicates an important coal potential in the Bayir field. The overburden thickness ranges from 72 m to 493 m in the Bayir field, averaging 257 m, indicating a deep coal mine. The overburden ratio averages 37 m{sup 3}/ton, indicating an underground coal mine to feed a power plant in near future.

Inaner, H.; Nakoman, E.; Karayigit, A.I. [Dokuz Eylul University, Buca Izmir (Turkey). Dept. of Geological Engineering

2008-07-01T23:59:59.000Z

64

Estimation of Offshore Wind Resources in Coastal Waters off Shirahama Using ENVISAT ASAR Images  

E-Print Network (OSTI)

Abstract: Offshore wind resource maps for the coastal waters off Shirahama, Japan were made based on 104 images of the Advanced Synthetic Aperture Radar (ASAR) onboard the ENVISAT satellite. Wind speed fields were derived from the SAR images with the geophysical model function CMOD5.N. Mean wind speed and energy density were estimated using the Weibull distribution function. These accuracies were examined in comparison with in situ measurements from the Shirahama offshore platform and the Southwest Wakayama buoy (SW-buoy). Firstly, it was found that the SAR-derived 10 m-height wind speed had a bias of 0.52 m/s and a RMSE of 2.33 m/s at Shirahama. Secondly, it was found that the mean wind speeds estimated from SAR images and the Weibull distribution function were overestimated at both sites. The ratio between SAR-derived and in situ measured mean wind speeds at Shirahama is 1.07, and this value was used for a long-termRemote Sens. 2013, 5 2884

Yuko Takeyama; Teruo Ohsawa; Tomohiro Yamashita; Katsutoshi Kozai; Yasunori Muto; Yasuyuki Baba; Koji Kawaguchi

2013-01-01T23:59:59.000Z

65

Resources  

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

Resources The DOE Information Center's current collection has more than 40,000 documents consisting of technical reports and historical materials that relate to DOE operations....

66

Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at  

E-Print Network (OSTI)

Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at larger heights above ground level? The wind resource at a wind farm can be estimated in two ways: by measurement or by modeling

67

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

68

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

DOE Green Energy (OSTI)

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

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

2011-01-01T23:59:59.000Z

69

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

NLE Websites -- All DOE Office Websites (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

70

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

NLE Websites -- All DOE Office Websites (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)

71

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed an automated technique for wind resource mapping to aid in the acceleration of wind energy deployment. The new automated mapping system was developed with the following two primary goals: (1) to produce a more consistent and detailed analysis of the wind resource for a variety of physiographic settings, particularly in areas of complex terrain; and (2) to generate high quality map products on a timely basis. Using computer mapping techniques reduces the time it takes to produce a wind map that reflects a consistent analysis of the distribution of the wind resource throughout the region of interest. NREL's mapping system uses commercially available geographic information system software packages. Regional wind resource maps using this new system have been produced for areas of the United States, Mexico, Chile, Indonesia (1), and China. Countrywide wind resource assessments are under way for the Philippines, the Dominican Re public, and Mongolia. Regional assessments in Argentina and Russia are scheduled to begin soon.

Schwartz, M.

1999-04-07T23:59:59.000Z

72

Wind Energy Resource Estimation of the Upper Atmosphere over Southern Africa  

Science Conference Proceedings (OSTI)

On the basis of daily ECMWF data over the period 1982?89, the mean seasonal and mean annual wind energy resource fields on the isobaric surfaces 1000, 850, 700, 500, 300, 200, and 100 hPa, within the latitude?longitudinal zone 0°?50°S and 0°?45°E,...

Fedor F. Bryukhan; Roseanne D. Diab

1995-11-01T23:59:59.000Z

73

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

DOE Green Energy (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

74

Overpressure prediction by mean total stress estimate using well logs for compressional environments with strike-slip or reverse faulting stress state  

E-Print Network (OSTI)

Predicting correct pore-pressure is important for drilling applications. Wellbore stability problems, kicks, or even blow-outs can be avoided with a good estimate of porepressure. Conventional pore-pressure estimation methods are based on one-dimensional compaction theory and depend on a relationship between porosity and vertical effective stress. Strike-slip or reverse faulting environments especially require a different way to determine pore-pressure, since the overburden is not the maximum stress. This study proposes a method which better accounts for the three-dimensional nature of the stress field and provides improved estimates of pore-pressure. We apply the mean total stress estimate to estimate pore-pressure. Pore pressure is then obtained by modifying Eaton�s pore-pressure equations, which require either resistivity or sonic log data. The method was tested in the Snorre Field in the Norwegian North Sea, where the field changes from strike-slip to reverse stress state. Eaton�s resistivity and sonic equations were used to predict pore-pressure in this region by replacing the vertical stress by the mean total stress estimate. Results suggest that the modified Eaton method with resistivity log data gives better results for the area than the conventional method. The ratio of maximum horizontal stress to minimum horizontal stress throughout each well should be known for best results.

Ozkale, Aslihan

2006-12-01T23:59:59.000Z

75

Contract No. DE-AC36-99-GO10337Geothermal— The Energy Under Our Feet Geothermal Resource Estimates for the  

E-Print Network (OSTI)

The Earth houses a vast energy supply in the form of geothermal resources. Domestic resources are equivalent to a 30,000-year energy supply at our current rate for the United States! In fact, geothermal energy is used in all 50 U.S. states today. But geothermal energy has not reached its full potential as a clean, secure energy alternative because of issues with resources, technology, historically low natural gas prices, and public policies. These issues affect the economic competitiveness of geothermal energy On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource

United States; Bruce D. Green; R. Gerald Nix; United States; Bruce D. Green; R. Gerald Nix

2006-01-01T23:59:59.000Z

76

Energy resources of the United States  

DOE Green Energy (OSTI)

Estimates are made of United States resources of coal, petroleum liquids, natural gas, uranium, geothermal energy, and oil from oil shale. Accuracy of the estimates probably ranges from 20 to 50 percent for identified-recoverable resources to about an order of magnitude for undiscovered-submarginal resources. The total cost resource base in the United States is estimated to be about 3,200 billion tons, of which 200 to 390 billion tons can be considered in the category identified and recoverable. It is estimated that the total resource base for petroleum liquids is about 2,900 billion barrels, of which 52 billion barrels is identified and recoverable. Of the total resource base, some 600 billion barrels is in Alaska or offshore from Alaska, 1,500 billion barrels is offshore from the United States, and 1,300 billion barrels is onshore in the conterminous United States. Identified-recoverable resources of petroleum liquids corresponding to these geographic units are 11, 6, and 36 billion barrels, respectively. The total natural gas resource of the United States is estimated to be about 6,600 trillion cubic feet, of which 290 trillion cubic feet is identified and recoverable. Uranium resources in conventional deposits, where uranium is the major product, are estimated at 1,600,000 tons of U/sub 3/O/sub 8/, of which 250,000 tons is identified and recoverable. The resources of heat in potential geothermal energy sources are estimated to be greater than 10/sup 22/ calories, of which only 2.5 x 10/sup 18/ calories can be considered identified and recoverable at present. Oil shale is estimated to contain 26 trillion barrels of oil. None of this resource is economic at present, but if prices increase moderately, 160 to 600 billion barrels of this oil could be shifted into the identified-recoverable category.

Theobald, P.K.; Schweinfurth, S.P.; Duncan, D.C.

1972-01-01T23:59:59.000Z

77

Preliminary estimates of the total-system cost for the restructured program: An addendum to the May 1989 analysis of the total-system life cycle cost for the Civilian Radioactive Waste Management Program  

SciTech Connect

The total-system life-cycle cost (TSLCC) analysis for the Department of Energy`s (DOE) Civilian Radioactive Waste Management Program is an ongoing activity that helps determine whether the revenue-producing mechanism established by the Nuclear Waste Policy Act of 1982 - a fee levied on electricity generated and sold by commercial nuclear power plants - is sufficient to cover the cost of the program. This report provides cost estimates for the sixth annual evaluation of the adequacy of the fee. The costs contained in this report represent a preliminary analysis of the cost impacts associated with the Secretary of Energy`s Report to Congress on Reassessment of the Civilian Radioactive Waste Management Program issued in November 1989. The major elements of the restructured program announced in this report which pertain to the program`s life-cycle costs are: a prioritization of the scientific investigations program at the Yucca Mountain candidate site to focus on identification of potentially adverse conditions, a delay in the start of repository operations until 2010, the start of limited waste acceptance at the monitored retrievable storage (MRS) facility in 1998, and the start of waste acceptance at the full-capability MRS facility in 2,000. Based on the restructured program, the total-system cost for the system with a repository at the candidate site at Yucca Mountain in Nevada, a facility for monitored retrievable storage (MRS), and a transportation system is estimated at $26 billion (expressed in constant 1988 dollars). In the event that a second repository is required and is authorized by the Congress, the total-system cost is estimated at $34 to $35 billion, depending on the quantity of spent fuel and high-level waste (HLW) requiring disposal. 17 figs., 17 tabs.

NONE

1990-12-01T23:59:59.000Z

78

Utilization of U. S. geothermal resources. Final report  

SciTech Connect

This study is concerned with U.S. geothermal resources, their potential for commercial utilization by electric utilities between now and the year 2000, and their impact on the utility industry. USGS estimates of the resources in identified hydrothermal systems were extrapolated to the undiscovered resources marked by hot springs, and further to the blind resources between hot spring areas within the tectonic belts. The resulting estimate of the total hydrothermal resource to a depth of 10,000 ft. is about 100,000 MWe for 30 years with about one-half in undiscovered blind resources, one-fourth in undiscovered hot spring resources, and one-fourth in identified systems. Water rates and direct capital costs for geothermal power plants were evaluated as functions of resource temperature, together with costs and expected flowrates for geothermal wells. Combining these results with the temperature distribution of identified hydrothermal systems, a current supply curve for geothermal energy wa s made. This shows an estimated 20,000 MWe for 30 years potentially producible with current technology from identified resources for direct capital costs of $800/KW or less. The projected supply curve shows an estimated 30,000 to 60,000 MWe for 30 years potentially available at $800/KW or less, in 1976 dollars, taking account of estimated undiscovered resources and probable technical advances.

Reitzel, J.

1976-12-01T23:59:59.000Z

79

Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid  

SciTech Connect

An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

Barker, Alan M [ORNL; Freer, Eva B [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Chinthavali, Supriya [ORNL; Kodysh, Jeffrey B [ORNL

2013-01-01T23:59:59.000Z

80

Coal resources of the Southwestern District, Kentucky: Bell, Clay, Clinton, Estill, Jackson, Knox, Laurel, Lee, Madison, McCreary, Owsley, Pulaski, Rockcastle, Wayne, and Whitley counties  

SciTech Connect

The Southwestern District contains an estimated 7.43 billion short tons of original coal resources. Remaining coal resources total an estimated 6.85 billion short tons as of January 1, 1981. The coal resources are tabulated by standard U. S. Geological Survey resource classes for 25 of the coal beds that occur in the district. Clay County contains an estimated 1.54 billion tons, or 21 percent of the district total, followed by Knox, which contains 1.38 billion tons, or 19 percent of the district total. Bell County contains an estimated 1.03 billion tons, or 14 percent, and Whitley County contains 975 million tons, or 13 percent of the district total. Remaining coal resources in the other 11 counties range from 70 thousand tons in Madison County to nearly 574 million tons in Owsley County.

Brant, R.A.; Smith, G.E.

1983-05-01T23:59:59.000Z

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.


81

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

82

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

83

Solar Resource Assessment for Sri Lanka and Maldives  

DOE Green Energy (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

84

Colorado's hydrothermal resource base: an assessment  

DOE Green Energy (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

85

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

$ 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

86

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

15,763,807 Contractor: 93,591,118 Fee Available Contract Period: Contract Type: URSCH2M Oak Ridge, LLC (UCOR) DE-SC-0004645 April 29, 2011 - July 13, 2016 Contract...

87

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

Fee September, 2013 Site: Portsmouth Paducah Project Office Contract Name: Operation of DUF6 Contractor: Babcock & Wilcox Conversion Services, LLC Contract Number:...

88

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

357,223 597,797 894,699 EM Contractor Fee Site: Stanford Linear Accelerator Center (SLAC) Contract Name: SLAC Environmental Remediation December 2012 1,516,646 Fee Available...

89

Total Estimated Contract Cost: Performance Period Total Fee Paid  

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

Fee 0 May 2011 - September 2015 June 2013 Contractor: Contract Number: Contract Type: Idaho Treatment Group LLC DE-EM0001467 Cost Plus Award Fee Fee Information 419,202,975...

90

Petroleum resources of Indonesia, Malaysia, Brunei, and Thailand  

SciTech Connect

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.

1984-07-01T23:59:59.000Z

91

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.

92

Mapping and Assessment of the United States Ocean Wave Energy Resource  

Science Conference Proceedings (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 more accura...

2011-12-01T23:59:59.000Z

93

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1988-1998 Total Energy *** Electricity ***...

94

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity ***...

95

Notices Total Estimated Number of Annual  

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

Lenders Enrollment Form was revised to allow Lenders and their Servicers to enroll for COD Online access in order to receive completed electronic IBRPay As You EarnICR...

96

Contractor: Contract Number: Contract Type: Total Estimated  

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

04 294,316 FY2005 820,074 FY2006 799,449 FY2007 877,898 FY2008 866,608 FY2009 886,404 FY2010 800,314 FY2011 871,280 FY2012 824,517 FY2013 Cumulative Fee Paid 7,040,860...

97

Contractor: Contract Number: Contract Type: Total Estimated  

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

16,237,181 FY2010 6,222,832 FY2011 59,831,257 FY2012 0 FY2013 0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Paid 82,291,270 CH2MHill Plateau Remediation Company...

98

Contractor: Contract Number: Contract Type: Total Estimated  

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

2010 19,332,431 FY2011 23,956,349 FY2012 19,099,251 FY2013 0 FY2014 FY2015 FY2016 FY2017 FY2018 FY2019 Cumulative Fee Paid 62,388,031 209,254,793 21,226,918 21,030,647 Fee...

99

Contractor: Contract Number: Contract Type: Total Estimated  

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

13 0 FY2014 0 FY2015 0 FY2016 0 FY2017 0 FY2018 0 Cumulative Fee Paid 0 310,000 320,000 330,000 340,000 HPM Corporation DE-EM0002043 350,000 Firm Fixed Price Plus Award...

100

Cell Total Activity Final Estimate.xls  

Office of Legacy Management (LM)

2.85E-02 2.81E-02 1.59E-03 1.21E-03 2.99E-03 3.07E-03 1.34E-03 1.10E-03 1.34E-03 6.92E-02 Hot spots 11675 1.50E+10 Site soils 1.56E+00 1.54E+00 8.72E-02 6.61E-02 1.64E-01 1.68E-01...

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

Tools & Resources: Resource Directory  

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

that reduce air emissions. Emissions & Generation Resource Integrated Database (eGRID) A tool that provides data on the environmental characteristics of almost all electric...

102

Publications & Resources, Human Resources  

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

or approved by Brookhaven National Laboratory or the Human Resources Division. Manuals Scientific Staff Manual Supervisors Personnel Manual SBMS Subject Areas Compensation...

103

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

104

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

DOE Green Energy (OSTI)

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

105

Predicting and Controlling Resource Usage in a ...  

Science Conference Proceedings (OSTI)

... To lower resource comsumption by AVNMP, we can consider application of the Minimum Data Length (MDL) [8] estimate for Kolmogorov ...

2009-02-03T23:59:59.000Z

106

Hospitality resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

107

Healthcare resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

108

Congregation resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

109

Teacher Resource Center: Curricular Resources  

NLE Websites -- All DOE Office Websites (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

110

Total energy cycle emissions and energy use of electric vehicles  

DOE Green Energy (OSTI)

The purpose of this project is to provide estimates of changes in life cycle energy use and emissions that would occur with the introduction of EVs. The topics covered include a synopsis of the methodology used in the project, stages in the EV and conventional vehicle energy cycles, characterization of EVs by type and driving cycle, load analysis and capacity of the electric utility, analysis of the materials used for vehicle and battery, description of the total energy cycle analysis model, energy cycle primary energy resource consumption, greenhouse gas emissions, energy cycle emissions, and conclusions.

Singh, M.

1997-12-31T23:59:59.000Z

111

Primary oil-shale resources of the Green River Formation in the eastern Uinta Basin, Utah  

SciTech Connect

Resources of potential oil in place in the Green River Formation are measured and estimated for the primary oil-shale resource area east of the Green River in Utah's Uinta Basin. The area evaluated (Ts 7-14 S, Rs 19-25 E) includes most of, and certainly the best of Utah's oil-shale resource. For resource evaluation the principal oil-shale section is divided into ten stratigraphic units which are equivalent to units previously evaluated in the Piceance Creek Basin of Colorado. Detailed evaluation of individual oil-shale units sampled by cores, plus estimates by extrapolation into uncored areas indicate a total resource of 214 billion barrels of shale oil in place in the eastern Uinta Basin.

Trudell, L.G.; Smith, J.W.; Beard, T.N.; Mason, G.M.

1983-04-01T23:59:59.000Z

112

Summary Max Total Units  

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

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

113

Oil and gas resources in the West Siberian Basin, Russia  

Science Conference Proceedings (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

114

Devonian shale gas resource assessment, Illinois basin  

Science Conference Proceedings (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

115

Wind Resource Maps (Postcard)  

DOE Green Energy (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

116

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  

Science Conference Proceedings (OSTI)

The principal research effort for the first half of Year 3 of the project has been resource assessment. Emphasis has been on estimating the total volume of hydrocarbons generated and the potential amount of this resource that is classified as deep (>15,000 ft) gas in the North Louisiana Salt Basin, the Mississippi Interior Salt Basin, the Manila Subbasin and the Conecuh Subbasin. The amount of this resource that has been expelled, migrated and entrapped is also the focus of the first half of Year 3 of this study.

Ernest A. Mancini; Paul Aharon; Donald A. Goddard; Roger Barnaby

2006-04-26T23:59:59.000Z

117

Post-2014 Resource Allocations  

NLE Websites -- All DOE Office Websites (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.

118

Mongolia wind resource assessment project  

DOE Green Energy (OSTI)

The development of detailed, regional wind-resource distributions and other pertinent wind resource characteristics (e.g., assessment maps and reliable estimates of seasonal, diurnal, and directional) is an important step in planning and accelerating the deployment of wind energy systems. This paper summarizes the approach and methods being used to conduct a wind energy resource assessment of Mongolia. The primary goals of this project are to develop a comprehensive wind energy resource atlas of Mongolia and to establish a wind measurement program in specific regions of Mongolia to identify prospective sites for wind energy projects and to help validate some of the wind resource estimates. The Mongolian wind resource atlas will include detailed, computerized wind power maps and other valuable wind resource characteristic information for the different regions of Mongolia.

Elliott, D.; Chadraa, B.; Natsagdorj, L.

1998-09-07T23:59:59.000Z

119

Challenges in resource monitoring for residential spaces  

Science Conference Proceedings (OSTI)

Buildings consume approximately 73% of the total electrical energy, and 12% of the potable water resources in the United States. Even a moderate reduction in this sector results in significant monetary and resource savings. Fine-grained resource monitoring ... Keywords: energy efficient homes, resource monitoring, sustainability

Younghun Kim; Thomas Schmid; Mani B. Srivastava; Yan Wang

2009-11-01T23:59:59.000Z

120

A committee machine with intelligent systems for estimation of total organic carbon content from petrophysical data: An example from Kangan and Dalan reservoirs in South Pars Gas Field, Iran  

Science Conference Proceedings (OSTI)

Total organic carbon (TOC) content present in reservoir rocks is one of the important parameters, which could be used for evaluation of residual production potential and geochemical characterization of hydrocarbon-bearing units. In general, organic-rich ... Keywords: Committee machine, Fuzzy logic, Genetic algorithm, Neural network, Neuro-fuzzy, Petrophysical data, South Pars Gas Field, Total organic carbon

Ali Kadkhodaie-Ilkhchi; Hossain Rahimpour-Bonab; Mohammadreza Rezaee

2009-03-01T23:59:59.000Z

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.


121

Technical Resources  

Science Conference Proceedings (OSTI)

AOCS Resource Directory helps members maintain technical excellence in their professions. Technical Resources Analytical Chemistry acid analysis Analytical Chemistry aocs applicants april articles atomic)FluorometryDifferential scanning calorimetry chemi

122

Total Energy Recovery System for Agribusiness. [Geothermally heated]. Final Report  

DOE Green Energy (OSTI)

An engineering and economic study was made to determine a practical balance of selected agribusiness subsystems resulting in realistic estimated produce yields for a geothermally heated system known as the Total Energy Recovery System for Agribusiness. The subsystem cycles for an average application at an unspecified hydrothermal resources site in the western United States utilize waste and by-products from their companion cycles insofar as practicable. Based on conservative estimates of current controlled environment yields, produce wholesale market prices, production costs, and capital investment required, it appears that the family-operation-sized TERSA module presents the potential for marginal recovery of all capital investment costs. In addition to family- or small-cooperative-farming groups, TERSA has potential users in food-oriented corporations and large-cooperative-agribusiness operations. The following topics are considered in detail: greenhouse tomatoes and cucumbers; fish farming; mushroom culture; biogas generation; integration methodology; hydrothermal fluids and heat exchanger selection; and the system. 133 references. (MHR)

Fogleman, S.F.; Fisher, L.A.; Black, A.R.; Singh, D.P.

1977-05-01T23:59:59.000Z

123

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

124

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

125

Fort Carson Wind Resource Assessment  

DOE Green Energy (OSTI)

This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and economic potential of a wind turbine project on a ridge in the southeastern portion of the Fort Carson Army base.

Robichaud, R.

2012-10-01T23:59:59.000Z

126

Stratabound geothermal resources in North Dakota and South Dakota  

SciTech Connect

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

127

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.

128

Pathway and Resource Overview  

NLE Websites -- All DOE Office Websites (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

129

Safety Resources  

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

Resources Print LBNLPub-3000: Health and Safety Manual Berkeley Lab safety guide, policies and procedures. Environment, Health, and Safety (EH&S) Staff Contact information for the...

130

Biomass Resources  

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

Biomass resources include any plant-derived organic matter that is available on a renewable basis. These materials are commonly referred to as feedstocks.

131

Cost Estimating Handbook for Environmental Restoration  

Science Conference Proceedings (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

132

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

133

EMISSION ESTIMATES FOR MODERN RESOURCE RECOVERY FACILITIES  

E-Print Network (OSTI)

, mercury, etc. is homogenized, oxidized with hydrogen peroxide, neutralized with lime, clarified a cocurrent flow on the gases and the material to be burnt. The second or post combustion chamber (6) holds the gases at a tem perature above 950°C for a residence time of about two seconds. A high gas flow rate

Columbia University

134

Mobile Resources  

NLE Websites -- All DOE Office Websites (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.

135

Lower bound estimation for low power high-level synthesis  

Science Conference Proceedings (OSTI)

This paper addresses the problem of estimating lower bounds on the power consumption in scheduled data flow graphs with a fixed number of allocated resources prior to binding. The estimated bound takes into account the effects of resource sharing. It ...

Lars Kruse; Eike Schmidt; Gerd Jochens; Ansgar Stammermann; Wolfgang Nebel

2000-09-01T23:59:59.000Z

136

NREL: Renewable Resource Data Center - Wind Resource Information  

NLE Websites -- All DOE Office Websites (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.

137

Resource assessment/commercialization planning meeting  

DOE Green Energy (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

138

Mapping and Assessment of the United States Ocean Wave Energy Resource  

SciTech Connect

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

NREL: Energy Analysis: Resource Assessment  

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

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

140

Federal agency resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

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

Multifamily housing resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

142

Entertainment venue resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

143

Higher education resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

144

Data center resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

145

Senior care resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

146

Auto dealer resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

147

Online Resources  

NLE Websites -- All DOE Office Websites (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)

148

TotalView Parallel Debugger at NERSC  

NLE Websites -- All DOE Office Websites (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

149

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

150

Center Resources  

NLE Websites -- All DOE Office Websites (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

151

Resource Directory  

Science Conference Proceedings (OSTI)

Online search and networking tool that connects AOCS members with their peers who share a common technical interest, geographic location, or affinity. Resource Directory Membership Information achievement application award Awards distinguished div

152

Reading Comprehension - Resources  

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

the planet Earth. Food, water, and sunlight are all examples of a natural resource unnatural resource science resource . A natural resource is a material found in...

153

Energy Basics: Biomass Resources  

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

Share this resource Biomass Biofuels Biopower Bio-Based Products Biomass Resources Geothermal Hydrogen Hydropower Ocean Solar Wind Biomass Resources Biomass resources include any...

154

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

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

155

Tools & Resources: Resource Directory  

NLE Websites -- All DOE Office Websites (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

156

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

157

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

NLE Websites -- All DOE Office Websites (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

158

Assessment of the Mexican Eagle Ford Shale Oil and Gas Resources  

E-Print Network (OSTI)

According to the 2011 Energy Information Agency (EIA) global assessment, Mexico ranks 4th in shale gas resources. The Eagle Ford shale is the formation with the greatest expectation in Mexico given the success it has had in the US and its liquids-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 and high variability in its properties generate large uncertainties in the long-term production and recovery factors of these plays. Another source of uncertainty is the limited production history. Given all these uncertainties, a probabilistic decline-curve analysis approach was chosen for this study, given that it is relatively simple, it enables performing a play-wide assessment with available production data and, more importantly, it quantifies the uncertainty in the resource size. Analog areas in the US Eagle Ford shale were defined based on available geologic information in both the US and Mexico. The Duong model coupled with a Markov Chain Monte Carlo (MCMC) methodology was used to analyze and forecast production of wells located in the previously defined analog sectors in the US Eagle Ford shale. By combining the results of individual-well analyses, a type curve and estimated ultimate recovery (EUR) distribution for each of the defined analog sectors was obtained. These distributions were combined with well-spacing assumptions and sector areas to generate the prospective-resources estimates. Similar probabilistic decline-curve-analysis methodology was used to estimate the reserves and contingent resources of existing wells. As of March 2013, the total prospective resources (P90-P50-P10) for the Eagle Ford shale in Mexico (MX-EFS) are estimated to be 527-1,139-7,268 MMSTB of oil and 17- 37-217 TSCF of gas. To my knowledge, this is the first oil estimate published for this formation in Mexico. The most attractive sectors based on total estimated resources as well as individual-well type curves are located in the southeast of the Burgos Basin and east-west of the Sabinas basin. Because there has been very little development to date, estimates for reserves and contingent resources are much lower than those for prospective resources. Estimated reserves associated with existing wells and corresponding offset well locations are 18,375-34,722-59,667 MMSCF for gas and zero for oil. Estimated contingent resources are 14-64-228 MSTB of oil and 8,526-13,327- 25,983MMSCF of gas. The results of this work should provide a more reliable assessment of the size and uncertainties of the resources in the Mexican Eagle Ford shale than previous estimates obtained with less objective methodologies.

Morales Velasco, Carlos Armando

2013-08-01T23:59:59.000Z

159

Use of hybrid intelligent computing in mineral resources evaluation  

Science Conference Proceedings (OSTI)

Mineral resources are a formal quantification of naturally occurring materials. Estimation of resource parameters such as grade and thickness may be carried out using different methodologies. In this paper, a soft methodology, which is artificial neural ... Keywords: Fuzzy-neural network, Grade estimation, Hybrid modelling, Mineral resource

B. Tutmez

2009-06-01T23:59:59.000Z

160

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

DOE Green Energy (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

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

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

162

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

163

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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*...

164

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

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...

165

Performance Period Total Fee Paid  

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

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:

166

Executive Resources  

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

The Executive Resources Division provides integrated executive policy and operational personnel support services in a centralized location to the Senior Executive Service (SES), Senior-Level (SL), Scientific and Professional (ST), Excepted Service and political appointees. Additional SES information can be found on the SES website which is located on the Office of Personnel Management’s (OPM) website.

167

Teacher Resource Center: Fermilab Web Resources  

NLE Websites -- All DOE Office Websites (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

168

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

169

Resource Center | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (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.

170

Image Resources  

NLE Websites -- All DOE Office Websites (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

171

Teacher Resources  

NLE Websites -- All DOE Office Websites (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.

172

Geothermal Resources  

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

Olympia, WA 98504-7007 . Price 4.16 Tax (WA residents only) .34 Total 4.50 M a i l orders must be prepaid; please add 1.00 to each order for postage and handling. Make...

173

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

174

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

175

Geothermal resources of Montana  

DOE Green Energy (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

176

Relative Standard Errors of Intensity Estimates - Total Inputs  

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

586-0018 http:www.eia.govemeumecsmecs94eirtable02.html If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

177

NREL: Wind Research - Wind Resource Assessment  

NLE Websites -- All DOE Office Websites (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

178

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

179

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

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...

180

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

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

Indiana 50 M Wind Resource  

NLE Websites -- All DOE Office Websites (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.

182

Ohio 50 m Wind Resource  

NLE Websites -- All DOE Office Websites (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:

183

Missouri 50 m Wind Resource  

NLE Websites -- All DOE Office Websites (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.

184

Potential benefits of geothermal electrical production from hydrothermal resources  

DOE Green Energy (OSTI)

The potential national benefits of geothermal electric energy development from the hydrothermal resources in the West are estimated for several different scenarios. The U.S. electrical economy is simulated by computer using a linear programming optimization technique. Under most of the scenarios, benefits are estimated at $2 to $4 billion over the next 50 years on a discounted present value basis. The electricity production from hydrothermal plants reaches 2 to 4 percent of the national total, which will represent 10 to 20 percent of the installed capacity in the West. Installed geothermal capacity in 1990 is estimated to be 9,000 to 17,000 Mw(e). The geothermal capacity should reach 28,000 to 65,000 Mw(e) by year 2015. The ''most likely'' scenario yields the lower values in the above ranges. Under this scenario geothermal development would save the utility industry $11 billion in capital costs (undiscounted); 32 million separative work units; 64,000 tons of U/sub 3/O/sub 8/; and 700 million barrels of oil. The most favorable scenario for geothermal energy occurs when fossil fuel prices are projected to increase at 5 percent/year. The benefits of geothermal energy then exceed $8 billion on a discounted present value basis. Supply curves were developed for hydrothermal resources based on the recent U.S. Geological Survey (USGS) resource assessment, resource characteristics, and projected power conversion technology and costs. Geothermal plants were selected by the optimizing technique to fill a need for ''light load'' plants. This infers that geothermal plants may be used in the future primarily for load-following purposes.

Bloomster, C.H.; Engel, R.L.

1976-06-01T23:59:59.000Z

185

Primer on gas integrated resource planning  

Science Conference Proceedings (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

186

PRISE: petroleum resource investigation summary and evaluation  

E-Print Network (OSTI)

As conventional resources are depleted, unconventional gas (UG: gas from tight sands, coal beds, and shale) resources are becoming increasingly important to U.S and world energy supply. The volume of UG resources is generally unknown in most international basins. However, in 25 mature U.S. basins, UG resources have been produced for decades and are well characterized in the petroleum literature. The objective of this work was to develop a method for estimating recoverable UG resources in target, or exploratory, basins. The method was based on quantitative relations between known conventional and unconventional hydrocarbon resource types in mature U.S. basins. To develop the methodology to estimate resource volumes, we used data from the U.S. Geological Survey, Potential Gas Committee, Energy Information Administration, National Petroleum Council, and Gas Technology Institute to evaluate relations among hydrocarbon resource types in the Appalachian, Black Warrior, Greater Green River, Illinois, San Juan, Uinta-Piceance, and Wind River basins. We chose these seven basins because they are mature basins for both conventional and unconventional oil and gas production. We assumed that a seven basin study would be sufficient for preliminary gas resource analysis and assessment of the new methodology. We developed a methodology we call PRISE, which uses software that investigates relationships among data published for both conventional and unconventional resources in the seven mature U.S. basins. PRISE was used to predict recoverable UG resources for target basins, on the basis of their known conventional resources. Input data for PRISE were cumulative production, proved reserves, growth, and undiscovered resources. We used published data to compare cumulative technically recoverable resources for each basin. For the seven basins studied, we found that 10% of the recoverable hydrocarbon resources are conventional oil and gas, and 90% are from unconventional resources. PRISE may be used to estimate the volume of hydrocarbon resources in any basin worldwide and, hopefully, assist early economic and development planning. PRISE methodology for estimating UG resources should be further tested in diverse sedimentary basin types.

Old, Sara

2008-08-01T23:59:59.000Z

187

21 briefing pages total  

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

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

188

Energy Basics: Geothermal Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Direct Use Electricity Production Geothermal Resources Hydrogen Hydropower Ocean...

189

Energy Basics: Hydropower Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Large-Scale Hydropower Microhydropower Hydropower Resources...

190

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

191

2004 Power Marketing Plan - Base Resource Overview  

NLE Websites -- All DOE Office Websites (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):

192

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

193

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

194

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

DOE Green Energy (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

195

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

196

Building Technologies Office: Resources  

NLE Websites -- All DOE Office Websites (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

197

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

198

U.S. Solar Resource Maps and Tools from the National Renewable Energy Laboratory (NREL)  

DOE Data Explorer (OSTI)

Solar maps provide monthly average daily total solar resource information on grid cells. The insolation values represent the resource available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal to equal to the latitude of the collector location. [Copied from http://www.nrel.gov/gis/solar.html] Several types of solar maps are made available. The U.S. Solar resource maps show the resource potential for energy from photovoltaics and from concentrating solar power (CSP). Both sets of maps are available in low or high resolution. A dynamic map based on version 2 of PVWATTS calculates electrical energy performance estimates for a grid-connected photovoltaic system. The map of U.S. Solar Measurement Station Locations is also dynamic, showing the spatial distribution of measurement stations across the U.S. that are monitored by programs and agencies such as DOE's Atmospheric Radiation Measurement (ARM) Program or NREL's Cooperative Network for Renewable Resource Measurements (CONFRRM). Clicking on a station location will take the user to the website of that station. Finally, static map images providing solar resource information averaged by month are also available.

199

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

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

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

200

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

SciTech Connect

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

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

NREL: Wind Research - Offshore Wind Resource Characterization  

NLE Websites -- All DOE Office Websites (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

202

K-12 school resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

203

Sector-specific resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

204

Grocery & convenience stores resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

205

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 ........................................

206

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

207

NREL: Renewable Resource Data Center - Solar Resource Data  

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

Solar Resource Data The following solar resource data collections can be found in the Renewable Resource Data Center (RReDC). Cooperative Networks for Renewable Resource...

208

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

Science Conference Proceedings (OSTI)

This report describes the methodology and results of the most rigorous assessment to date of the riverine hydrokinetic energy resource in the contiguous 48 states and Alaska, excluding tidal waters. The assessment provides estimates of the gross, naturally available resource, termed the theoretical resource, as well as estimates, termed the technically recoverable resource, that account for selected technological factors affecting capture and conversion of the theoretical resource. The ...

2012-12-12T23:59:59.000Z

209

1992 Conversion Resources Supply Document  

SciTech Connect

In recent years conservation of electric power has become an integral part of utility planning. The 1980 Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act) requires that the region consider conservation potential in planning acquisitions of resources to meet load growth. The Bonneville Power Administration (BPA) developed its first estimates of conservation potential in 1982. Since that time BPA has updated its conservation supply analyses as a part of its Resource Program and other planning efforts. Major updates were published in 1985 and in January 1990. This 1992 document presents updated supply curves, which are estimates of the savings potential over time (cumulative savings) at different cost levels of energy conservation measures (ECMs). ECMs are devices, pieces of equipment, or actions that increase the efficiency of electricity use and reduce the amount of electricity used by end-use equipment.

Not Available

1992-03-01T23:59:59.000Z

210

Clean Cities: Information Resources  

NLE Websites -- All DOE Office Websites (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

211

Estimating UV Index Climatology over Canada  

Science Conference Proceedings (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

212

Industrial Applications of Renewable Resources  

Science Conference Proceedings (OSTI)

Archive of Industrial Applications of Renewable Resources Industrial Applications of Renewable Resources Cincinnati, Ohio, USA Industrial Applications of Renewable Resources ...

213

Resource Assessment and Characterization | Department of Energy  

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

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

214

Resource assessment methodologies and applications  

Science Conference Proceedings (OSTI)

Resource assessment refers to the estimation and evaluation of mineral materials in the ground, both discovered and undiscovered. In such as an assessment, attention is centered on materials in such form, concentration, and location that they might be extractable under foreseeable economic and technological conditions. In practical terms, there is no such thing as an all-purpose resource assessment. Diverse groups of people interested in such assessments, be they mineral exploration planners, economic analysts, land use planners, or policymakers, will look for aspects that are most pertinent to their own field and time frame of interest. For example, exploration analysts would be most interested in the geological potential for discovering certain types of deposits in a region; mining engineers in the physical and chemical characteristics of deposits already discovered; and economists in the possible mineral-supply stream that might be generated in the future. No single assessment can throw light on all aspects of conceivable interest, and every type of assessment will have its conceptual and analytical limitations. Six major resource assessment methodologies are presented: areal value, crustal abundance, volumetric, deposit modeling, Delphi, and intergrated synthesis. Each methodology has certain strengths and weaknesses and type of resource estimate, factos which must be considered before application of any one technique. Each of these methods is discussed.

Dorian, J.P.; Zwartendyk, J.

1984-01-01T23:59:59.000Z

215

Solar radiation resource assessment  

DOE Green Energy (OSTI)

The bulletin discusses the following: introduction; Why is solar radiation resource assessment important Understanding the basics; the solar radiation resource assessment project; and future activities.

Not Available

1990-11-01T23:59:59.000Z

216

Cultural resources GIS.  

E-Print Network (OSTI)

??Cultural resources are inherently spatial entities, and the paper based inventory systems that have prevailed for cultural resources have been relatively effective at recording and… (more)

Clark, Kinney E.

2006-01-01T23:59:59.000Z

217

Energy Basics: Ocean Resources  

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

Resources Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource...

218

Drivers and Resources  

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

Drivers and Resources Regulatory Drivers National Laws Executive Orders DOE Orders and Directives Information Resources DOE P2 Web Sites Other P2 Web Sites Environmental...

219

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

220

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 ....................

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 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 ....................

222

The Health and Visibility Cost of Air Pollution: A Comparison of Estimation Methods  

E-Print Network (OSTI)

whether the visibility cost estimates from CVM and HPA aredetermine the overall cost estimates. 6 And the considerableuncertainty in the total cost estimate, as manifested by the

Delucchi, Mark; Murphy, James; McCubbin, Donald

2002-01-01T23:59:59.000Z

223

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.

224

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

225

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

SciTech Connect

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

226

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

227

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  

Science Conference Proceedings (OSTI)

The objectives of the study were: (1) to perform resource assessment of the thermogenic gas resources in deeply buried (>15,000 ft) natural gas reservoirs of the onshore interior salt basins of the north central and northeastern Gulf of Mexico areas through petroleum system identification, characterization and modeling; and (2) to use the petroleum system based resource assessment to estimate the volume of the deep thermogenic gas resource that is available for potential recovery and to identify those areas in the interior salt basins with high potential for this thermogenic gas resource. Petroleum source rock analysis and petroleum system characterization and modeling, including thermal maturation and hydrocarbon expulsion modeling, have shown that the Upper Jurassic Smackover Formation served as the regional petroleum source rock in the North Louisiana Salt Basin, Mississippi Interior Salt Basin, Manila Subbasin and Conecuh Subbasin. Thus, the estimates of the total hydrocarbons, oil, and gas generated and expelled are based on the assumption that the Smackover Formation is the main petroleum source rock in these basins and subbasins. The estimate of the total hydrocarbons generated for the North Louisiana Salt Basin in this study using a petroleum system approach compares favorably with the total volume of hydrocarbons generated published by Zimmermann (1999). In this study, the estimate is 2,870 billion barrels of total hydrocarbons generated using the method of Schmoker (1994), and the estimate is 2,640 billion barrels of total hydrocarbons generated using the Platte River software application. The estimate of Zimmermann (1999) is 2,000 to 2,500 billion barrels of total hydrocarbons generated. The estimate of gas generated for this basin is 6,400 TCF using the Platte River software application, and 12,800 TCF using the method of Schmoker (1994). Barnaby (2006) estimated that the total gas volume generated for this basin ranges from 4,000 to 8,000 TCF. Seventy-five percent of the gas is estimated to be from late cracking of oil in the source rock. Lewan (2002) concluded that much of the thermogenic gas produced in this basin is the result of cracking of oil to gas in deeply buried reservoirs. The efficiency of expulsion, migration and trapping has been estimated to range from 0.5 to 10 percent for certain basins (Schmoker, 1994: Zimmerman, 1999). The estimate of the total hydrocarbons generated for the Mississippi Interior Salt Basin is 910 billion barrels using the method of Schmoker (1994), and the estimate of the total hydrocarbons generated is 1,540 billion barrels using the Platte River software application. The estimate of gas generated for this basin is 3,130 TCF using the Platte River software application, and 4,050 TCF using the method of Schmoker (1994). Seventy-five percent of the gas is estimated to be from late cracking of oil in the source rock. Claypool and Mancini (1989) report that the conversion of oil to gas in reservoirs is a significant source of thermogenic gas in this basin. The Manila and Conecuh Subbasins are oil-prone. Although these subbasins are thermally mature for oil generation and expulsion, they are not thermally mature for secondary, non-associated gas generation and expulsion. The gas produced from the highly productive gas condensate fields (Big Escambia Creek and Flomaton fields) in these subbasins has been interpreted to be, in part, a product of the cracking of oil to gas and thermochemical reduction of evaporite sulfate in the reservoirs (Claypool and Mancini, 1989). The areas in the North Louisiana and Mississippi Interior Salt Basins with high potential for deeply buried gas reservoirs (>15,000 ft) have been identified. In the North Louisiana Salt Basin, these potential reservoirs include Upper Jurassic and Lower Cretaceous facies, especially the Smackover, Cotton Valley, Hosston, and Sligo units. The estimate of the secondary, non-associated gas generated from cracking of oil in the source rock from depths below 12,000 feet in this basin is 4,800 TCF. Assuming an expul

Ernest A. Mancini

2006-09-30T23:59:59.000Z

228

Business and Technical Resources  

Science Conference Proceedings (OSTI)

Business and Technical Resources. Small Business Administration. The SBA provides information on programs for starting ...

2012-06-19T23:59:59.000Z

229

Teacher Resource Center: Science Fair Resources  

NLE Websites -- All DOE Office Websites (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.

230

Education: Digital Resource Center -- Ceramics: Web resources  

Science Conference Proceedings (OSTI)

Glossary of cement/ceramic terminology plus high school lesson plans and resources, 0 ... WEB: Ceramic Glossary – Ceramic Terminology and Abbreviations ...

231

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

232

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

233

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

234

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

235

Teacher Resource Center  

NLE Websites -- All DOE Office Websites (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

236

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

237

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

238

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

SciTech Connect

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

239

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

Open Energy Info (EERE)

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

240

Solar Resource Assessment  

DOE Green Energy (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

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

Energy Resource Library  

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

The Office of Indian Energy resource library provides links to helpful resources for Tribes on energy project development and financing in Indian Country. The library includes links to more than 85...

242

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

243

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..............................................................

244

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.....................................................

245

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.......................................................

246

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

247

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.................................

248

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...........................

249

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)

250

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

251

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.................................................................

252

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)...........................

253

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.........................................................

254

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

255

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.................................

256

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.......................................................

257

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.................................

258

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.................................

259

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.................................................................

260

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

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....................................................................................  

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.........................................................

262

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.................................

263

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.............................................................

264

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.......................................................

265

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......................................................................

266

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..........................................

267

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.........................................................

268

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

269

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.........................................................

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 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

271

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

272

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...................................................................

273

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......................................................................

274

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

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

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

275

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

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

276

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

277

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

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

278

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

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

279

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

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

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

280

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

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

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

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

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

282

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

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

283

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

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

284

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

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

285

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

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

286

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

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

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

287

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

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

288

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

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

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

289

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

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

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

290

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...

291

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...

292

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

Annual Energy Outlook 2012 (EIA)

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......

293

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

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

294

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

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

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

295

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

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

296

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

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

297

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

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

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

298

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

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

299

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

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

300

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

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

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..........................................................  

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

302

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.......................................................

303

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.................................

304

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..........................

305

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.................................

306

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..........................

307

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..........................................................

308

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

309

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.......................................................................

310

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.....................................................................

311

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...................................................................

312

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.........................................................

313

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.....................................................................

314

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.................................

315

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....................................................

316

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.

317

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.

318

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

319

Enabling Materials Resource Sustainability  

Science Conference Proceedings (OSTI)

Mar 6, 2013 ... REWAS 2013: Enabling Materials Resource Sustainability: Enabling Sustainability through Education and Consumer Awareness Sponsored ...

320

Web Resources - TMS  

Science Conference Proceedings (OSTI)

New Messages, Rating, WEB RESOURCE: Research on Nuclear Wastes French Atomic Energy Commission. Strategies for radioactive waste management, 0 ...

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

Electronic Materials: Web resources  

Science Conference Proceedings (OSTI)

Jan 11, 2008 ... WEB: NETWORKS MATEC, Maricopa Community Colleges. NSF resource center focused on semiconductor and electronics education, 0, 811 ...

322

Live Working Resource Center  

Science Conference Proceedings (OSTI)

This report is a summary of work performed in 2008 on the EPRI Live Working Resource Center (LWRC) web site.

2008-12-16T23:59:59.000Z

323

Geothermal Energy Resources (Louisiana)  

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

Louisiana developed policies regarding geothermal stating that the state should pursue the rapid and orderly development of geothermal resources.

324

Industrial Buildings Tools and Resources  

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

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

325

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy`s National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4{degrees} latitude by 1/3{degrees} longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

326

United States areal wind resource assessment  

SciTech Connect

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States, in support of the US Department of Energy's National Energy Strategy. These estimates were based on the wind resource data published in a national resource atlas. Estimates of the wind resource in this atlas are expressed in wind power classes ranging from class 1 to class 7, with each class representing a range of mean wind power density or equivalent mean speed at specified heights above the ground (Table 1) . Areas designatedclass 4 or greater are suitable for most wind turbine applications. Power class 3 areas are suitable for wind energy development using tall (50-m hub height) turbines. Class 2 areas are marginal and class 1 areas unsuitable for wind energy development. A map of the areal (percentage of land area) distribution of the wind resource digitized in grid cells (1/4[degrees] latitude by 1/3[degrees] longitude) shows that exposed areas with moderate to high wind resource (class 3 and greater) are dispersed throughout much of the contiguous United States.

Schwartz, M.N.; Elliott, D.L.

1993-03-01T23:59:59.000Z

327

Apparatus and method for quantitatively evaluating total fissile and total fertile nuclide content in samples  

DOE Patents (OSTI)

Simultaneous photon and neutron interrogation of samples for the quantitative determination of total fissile nuclide and total fertile nuclide material present is made possible by the use of an electron accelerator. Prompt and delayed neutrons produced from resulting induced fissions are counted using a single detection system and allow the resolution of the contributions from each interrogating flux leading in turn to the quantitative determination sought. Detection limits for .sup.239 Pu are estimated to be about 3 mg using prompt fission neutrons and about 6 mg using delayed neutrons.

Caldwell, John T. (Los Alamos, NM); Kunz, Walter E. (Santa Fe, NM); Cates, Michael R. (Oak Ridge, TN); Franks, Larry A. (Santa Barbara, CA)

1985-01-01T23:59:59.000Z

328

Modeling access to wind resources in the United States  

DOE Green Energy (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

329

Wildlife Resources | Open Energy Information  

Open Energy Info (EERE)

Wildlife Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleWildlifeResources&oldid612286" Category: NEPA Resources What links here...

330

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......................................

331

Geothermal resource requirements for an energy self-sufficient spaceport  

DOE Green Energy (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

332

China Total Cloud Amount Trends  

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

Trends in Total Cloud Amount Over China DOI: 10.3334CDIACcli.008 data Data image Graphics Investigator Dale P. Kaiser Carbon Dioxide Information Analysis Center, Environmental...

333

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

334

Tropical Africa: Total Forest Biomass (By Country)  

NLE Websites -- All DOE Office Websites (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)

335

Unconventional Oil and Gas Resources  

Science Conference Proceedings (OSTI)

World oil use is projected to grow to 98 million b/d in 2015 and 118 million b/d in 2030. Total world natural gas consumption is projected to rise to 134 Tcf in 2015 and 182 Tcf in 2030. In an era of declining production and increasing demand, economically producing oil and gas from unconventional sources is a key challenge to maintaining global economic growth. Some unconventional hydrocarbon sources are already being developed, including gas shales, tight gas sands, heavy oil, oil sands, and coal bed methane. Roughly 20 years ago, gas production from tight sands, shales, and coals was considered uneconomic. Today, these resources provide 25% of the U.S. gas supply and that number is likely to increase. Venezuela has over 300 billion barrels of unproven extra-heavy oil reserves which would give it the largest reserves of any country in the world. It is currently producing over 550,000 b/d of heavy oil. Unconventional oil is also being produced in Canada from the Athabasca oil sands. 1.6 trillion barrels of oil are locked in the sands of which 175 billion barrels are proven reserves that can be recovered using current technology. Production from 29 companies now operating there exceeds 1 million barrels per day. The report provides an overview of continuous petroleum sources and gives a concise overview of the current status of varying types of unconventional oil and gas resources. Topics covered in the report include: an overview of the history of Oil and Natural Gas; an analysis of the Oil and Natural Gas industries, including current and future production, consumption, and reserves; a detailed description of the different types of unconventional oil and gas resources; an analysis of the key business factors that are driving the increased interest in unconventional resources; an analysis of the barriers that are hindering the development of unconventional resources; profiles of key producing regions; and, profiles of key unconventional oil and gas producers.

none

2006-09-15T23:59:59.000Z

336

Unconventional gas resources in the U.S.A.  

Science Conference Proceedings (OSTI)

Unconventional gas accounts for more than 40% of U.S. domestic gas production and more than 10% of world output. The amount of resources available is still uncertain and estimates vary to a large degree. In this paper

Jon Schumann; Shapour Vossoughi

2012-01-01T23:59:59.000Z

337

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  

Science Conference Proceedings (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

338

Geothermal-resource verification for Air Force bases  

DOE Green Energy (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

339

Geographic Perspective on the Current Biomass Resource Availability in the United States  

SciTech Connect

The objective of this report is to estimate the biomass resources available in the United States and map the results using geographic information systems (GIS).

Milbrandt, A.

2005-12-01T23:59:59.000Z

340

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

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

Assessment of Biomass Resources in Afghanistan  

DOE Green Energy (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

342

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

343

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 +

344

Information Resources - EERE Commercialization Office  

Information Resources. Here you will find various informational resources related to the commercialization of clean energy technologies. Hawaiian ...

345

Information Resources - EERE Commercialization Office  

Information Resources. Here you will find various informational resources related to the commercialization of clean energy technologies. Hawaiian Renewable Energy ...

346

Energy Efficiency Resource Standard | Department of Energy  

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

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...

347

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

348

Resource Adequacy Capacity - Power Marketing - Sierra Nevada...  

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

Resource Adequacy Capacity Resource Adequacy Capacity Resource Adequacy Plan - Current Local Resource Adequacy Plan (Word - 175K) - Notice of Proposed Final Resource Adequacy Plan...

349

Carbon and Water Resource Management for Water Distribution Systems  

E-Print Network (OSTI)

4 April, 2013. (4) 2010 Water Use Survey Summary Estimates –State Totals; Texas Water Development Board: Austin, TX,indicators for urban water systems. Urban Water. 2004, 4,

Hendrickson, Thomas Peter

2013-01-01T23:59:59.000Z

350

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

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

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...

351

Improving software effort estimation using an expert-centred approach  

Science Conference Proceedings (OSTI)

A cornerstone of software project management is effort estimation, the process by which effort is forecasted and used as basis to predict costs and allocate resources effectively, so enabling projects to be delivered on time and within budget. Effort ... Keywords: cost estimation, expert-centred approach, process improvement, project management, software effort estimation

Emilia Mendes

2012-10-01T23:59:59.000Z

352

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

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

"Table A36. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Fuel Type, Industry Group, Selected Industries, and End Use, 1991:" " Part 2" " (Estimates in...

353

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

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

"Table A10. 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...

354

Table A26. Total Quantity of Purchased Energy Sources by Census...  

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

Total Quantity of Purchased Energy Sources by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)"...

355

Table A12. Total Inputs of Energy for Heat, Power, and Electricity...  

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

2. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical...

356

TMCC WIND RESOURCE ASSESSMENT  

DOE Green Energy (OSTI)

North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

Turtle Mountain Community College

2003-12-30T23:59:59.000Z

357

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

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

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

1983-03-01T23:59:59.000Z

358

Feasibility Assessment of Water Energy Resources of the United States for New Low Power and Small Hydro Classes of Hydroelectric Plants  

DOE Green Energy (OSTI)

Water energy resource sites identified in the resource assessment study reported in Water Energy Resources of the United States with Emphasis on Low Head/Low Power Resources, DOE/ID-11111, April 2004 were evaluated to identify which could feasibly be developed using a set of feasibility criteria. The gross power potential of the sites estimated in the previous study was refined to determine the realistic hydropower potential of the sites using a set of development criteria assuming they are developed as low power (less than 1 MW) or small hydro (between 1 and 30 MW) projects. The methodologies for performing the feasibility assessment and estimating hydropower potential are described. The results for the country in terms of the number of feasible sites, their total gross power potential, and their total hydropower potential are presented. The spatial distribution of the feasible potential projects is presented on maps of the conterminous U.S. and Alaska and Hawaii. Results summaries for each of the 50 states are presented in an appendix. The results of the study are also viewable using a Virtual Hydropower Prospector geographic information system application accessible on the Internet at: http://hydropower.inl.gov/prospector.

Douglas G. Hall

2006-01-01T23:59:59.000Z

359

Distributed energy resources at naval base ventura county building 1512  

E-Print Network (OSTI)

the affects of energy prices and tariff structures on energythe default SCE tariff, total energy bills for Building 1512$0.1097. This tariff Distributed Energy Resources at Naval

Bailey, Owen C.; Marnay, Chris

2004-01-01T23:59:59.000Z

360

Office of Resource Management  

NLE Websites -- All DOE Office Websites (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.

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

Contact List, Human Resources  

NLE Websites -- All DOE Office Websites (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

362

CMPC Marking Resource  

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

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

363

Distributed Resource Integration Framework  

Science Conference Proceedings (OSTI)

This report defines a framework for assessing current issues and considerations associated with the deployment and operation of distributed resources. The framework is a guide that can assist utility personnel, distributed resource owners, and other stakeholders in planning integration projects and in relating different integration projects to one another. The framework provides a structured organization of the various elements associated with distributed resource integration, including regulatory, busin...

2009-12-23T23:59:59.000Z

364

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

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...

365

Total aerosol effect: forcing or radiative flux perturbation?  

Science Conference Proceedings (OSTI)

Uncertainties in aerosol forcings, especially those associated with clouds, contribute to a large extent to uncertainties in the total anthropogenic forcing. The interaction of aerosols with clouds and radiation introduces feedbacks which can affect the rate of rain formation. Traditionally these feedbacks were not included in estimates of total aerosol forcing. Here we argue that they should be included because these feedbacks act quickly compared with the time scale of global warming. We show that for different forcing agents (aerosols and greenhouse gases) the radiative forcings as traditionally defined agree rather well with estimates from a method, here referred to as radiative flux perturbations (RFP), that takes these fast feedbacks and interactions into account. Thus we propose replacing the direct and indirect aerosol forcing in the IPCC forcing chart with RFP estimates. This implies that it is better to evaluate the total anthropogenic aerosol effect as a whole.

Lohmann, Ulrike; Storelvmo, Trude; Jones, Andy; Rotstayn, Leon; Menon, Surabi; Quaas, Johannes; Ekman, Annica; Koch, Dorothy; Ruedy, Reto

2009-09-25T23:59:59.000Z

366

BCDA SPEC Resources  

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

Software * Group Info * Sector Contacts * Knowledge Base * Meetings * Mailing list * APS PV Information * EPICS Naming Convention Print this page APS SPEC Resources The APS has a...

367

Resources | Department of Energy  

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

Roundtables START Program Technical Assistance Tribal Energy Program Tribal Summit The Office of Indian Energy provides the following resources to assist Tribes with energy...

368

Energy Basics: Geothermal Resources  

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

EERE: Energy Basics Geothermal Resources Although geothermal heat pumps can be used almost anywhere, most direct-use and electrical production facilities in the United States are...

369

Geothermal Resources Council's ...  

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

Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications...

370

Energy Basics: Ocean Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Ocean Thermal Energy Conversion Tidal Energy Wave Energy...

371

Air Resources Board  

E-Print Network (OSTI)

The Air Resources Board (the Board or ARB) will conduct a public hearing at the time and place noted below to consider amendments to the Verifkztion

unknown authors

2003-01-01T23:59:59.000Z

372

Air Resources Board  

E-Print Network (OSTI)

The Air Resources Board (the Board or ARB) will conduct a public hearing at the time and place noted below to consider amendments to the Verification

unknown authors

2003-01-01T23:59:59.000Z

373

NREL: Energy Storage - Resources  

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

Resources The National Renewable Energy Laboratory's (NREL) Energy Storage team and partners work within a variety of programs that have created test manuals to establish standard...

374

Teacher Resource Center: sciencelines  

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

the Data at Fermilab Fermilab's Birds Fermilab Bison Harvesting the Prairie Fermilab ARISE Project Resources Cancer Education Elementary and Midlevel School Science Powers of Ten...

375

Restaurant resources | ENERGY STAR  

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

Restaurant resources Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial...

376

resources and activities  

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

Fourth Annual Educational Software Review The Teacher Resource Center and the Mathematics and Science Consortia of North Central Regional Educational Laboratory held its...

377

Resources and Activities  

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

1996 Software Review The Teacher Resource Center and the Demonstration Site for the Mathematics and Science Consortia of North Central Regional Education Laboratory held its...

378

Section Administration and Resources  

Science Conference Proceedings (OSTI)

Section Information, Membership, Newsletters and Awards Section Administration and Resources Awards Program aocs award Awards baldwin fats global inform job listings member membership network oils ...

379

Web Resources - TMS  

Science Conference Proceedings (OSTI)

WEB RESOURCE: Waste Isolation Pilot Plant (WIPP) DOE. World's ... Proposed radiation protection standards, 0, 594, Lynne Robinson, 5/15/2007 11:24 AM

380

Information Resources: Registration  

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

of Energy - Energy Efficiency and Renewable Energy Building Technologies Program - Information Resources Registration Online registration for the 2012 DOE SSL Market Introduction...

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

WEB RESOURCE: Radioactive Waste  

Science Conference Proceedings (OSTI)

May 8, 2007 ... This resource offers a a very broad explanation of how the Belgian Agency for Management of Radioactive Waste and Enriched Fissile Material ...

382

Energy Resource Potential  

NLE Websites -- All DOE Office Websites (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.

383

Solar Resources By Class Per Country These estimates are derived...  

Open Energy Info (EERE)

was 10%. (E Productive Land * kWhmday * 365 days * 10% efficiency). The solar data has been derived from solar data measured or modeled between 1961 and 2008,...

384

US hydropower resource assessment for Hawaii  

DOE Green Energy (OSTI)

US DOE is developing an estimate of the undeveloped hydropower potential in US. The Hydropower Evaluation Software (HES) is a computer model developed by INEL for this purpose. HES measures the undeveloped hydropower resources available in US, using uniform criteria for measurement. The software was tested using hydropower information and data provided by Southwestern Power Administration. It is a menu-driven program that allows the PC user to assign environmental attributes to potential hydropower sites, calculate development suitability factors for each site based on the environmental attributes, and generate reports. This report describes the resource assessment results for the State of Hawaii.

Francfort, J.E.

1996-09-01T23:59:59.000Z

385

TWRS privatization support project waste characterization resource dictionary  

Science Conference Proceedings (OSTI)

A single estimate of waste characteristics for each underground storage tanks at the Hanford Site is not available. The information that is available was developed for specific programmatic objectives and varies in format and level of descriptive detail, depending on the intended application. This dictionary reflects an attempt to define what waste characterization information is available. It shows the relationship between the identified resource and the original data source and the inter-relationships among the resources; it also provides a brief description of each resource. Developed as a general dictionary for waste characterization information, this document is intended to make the user aware of potenially useful resources.

Patello, G.K.; Wiemers, K.D.

1996-09-01T23:59:59.000Z

386

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect

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

387

Natural Resources in China Water resources  

E-Print Network (OSTI)

. Large reserves of coal, but natural gas and oil are becoming scarce. Import approximately the same, petroleum, natural gas, uranium, etc. Metallic mineral resources include iron, copper, tungsten, aluminum in the production of petrochemicals Materials produced from natural gas or crude oil, such as plastics

Pan, Feifei

388

Partner Violence Resources  

E-Print Network (OSTI)

Objective: Little is known about availability of resources for managing intimate partner violence (IPV) at rural hospitals. We assessed differences in availability of resources for IPV screening and management between rural and urban emergency departments (EDs) in Oregon. Methods: We conducted a standardized telephone interview of Oregon ED directors and nurse managers on six IPV-related resources: official screening policies, standardized screening tools, public displays regarding IPV, on-site advocacy, intervention checklists and regular clinician education. We used chi-square analysis to test differences in reported resource availability between urban and rural EDs. Results: Of 57 Oregon EDs, 55 (96%) completed the survey. A smaller proportion of rural EDs, compared to urban EDs, reported official screening policies (74 % vs. 100%, p=0.01), standardized screening instruments (21 % vs. 55%, p=0.01), clinician education (38 % vs. 70%, p=0.02) or on-site violence advocacy (44 % vs. 95%, prural EDs had none or one of the studied resources, 50 % had two or three, and 24 % had four or more (vs. 0%, 35%, and 65% in urban EDs, p=0.003). Small, remote rural hospitals had fewer resources than larger, less remote rural hospitals or urban hospitals. Conclusion: Rural EDs have fewer resources for addressing IPV. Further work is needed to identify specific barriers to obtaining resources for IPV management that can be used in all hospital settings. [West J Emerg Med. 2011;12(2):178-183.

Esther K. Choo; Craig D. Newgard; Robert A. Lowe; Michael K. Hall; K John Mcconnell

2010-01-01T23:59:59.000Z

389

Deepwater Oil & Gas Resources  

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

The United States has significant natural gas and oil reserves. But many of these resources are increasingly harder to locate and bring into production. To help meet this challenge, the U.S. Department of Energy’s Office of Fossil Energy over the years has amassed wide ranging expertise in areas related to deepwater resource location, production, safety and environmental protection.

390

Live Working Resource Center  

Science Conference Proceedings (OSTI)

EPRI created the Live Working Resource Center web site to provide utilities the critical information they need to conduct live work safely and efficiently. This report is a summary of work performed in 2007 on the web site. See EPRI's Live Working Resource Center.

2007-11-30T23:59:59.000Z

391

Teacher Resource Kit  

NLE Websites -- All DOE Office Websites (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

392

Tri-Lab Resources  

NLE Websites -- All DOE Office Websites (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

393

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

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

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

2011-03-10T23:59:59.000Z

394

A New Global Unconventional Natural Gas Resource Assessment  

E-Print Network (OSTI)

In 1997, Rogner published a paper containing an estimate of the natural gas in place in unconventional reservoirs for 11 world regions. Rogner's work was assessing the unconventional gas resource base, and is now considered to be very conservative. 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) and technically recoverable resource (TRR) in highly uncertain unconventional gas reservoirs, worldwide. We evaluated global unconventional OGIP by (1) developing theoretical statistic relationships between conventional hydrocarbon and unconventional gas; (2) fitting these relationships to North America publically available data; and (3) applying North American theoretical statistical relationships to evaluate the volume of unconventional gas resource of the world. Estimated global unconventional OGIP ranges from 83,300 (P10) to 184,200 (P90) Tcf. To assess global TRR from unconventional gas reservoirs, we developed a computer program that we call Unconventional Gas Resource Assessment System (UGRAS). In the program, we integrated a Monte Carlo technique with an analytical reservoir simulator to estimate the original volume of gas in place and to predict production performance. We used UGRAS to evaluate the probabilistic distribution of OGIP, TRR and recovery factor (RF) for the most productive unconventional gas formations in the North America. The P50 of recovery factor for shale gas, tight sands gas and coalbed methane is 25%, 79% and 41%, respectively. Finally, we applied our global OGIP assessment and these distributions of recovery factor gained from our analyses of plays/formations in the United States to estimate global technically recoverable unconventional gas resource. Global technically recoverable unconventional gas resource is estimated from 43,000 (P10) to 112,000 (P90) Tcf.

Dong, Zhenzhen

2012-08-01T23:59:59.000Z

395

Model Reduction and Parameter Estimation in Groundwater Modeling  

E-Print Network (OSTI)

Professor William W-G. Yeh, Chair Water resources systemsWilliam W-G. Yeh. Systems analysis in ground-water planningYeh (2012), Reduced order parameter estimation using quasilinearization and quadratic programming, Water

Siade, Adam

2012-01-01T23:59:59.000Z

396

Development of computer-aided maintenance resources planning (CAMRP): A case of multiple CNC machining centers  

Science Conference Proceedings (OSTI)

Total productive maintenance (TPM), total maintenance assurance, preventive maintenance, reliability-centered maintenance (RCM), and many other innovative approaches to maintenance problems all aim at enhancing the effectiveness of machines to ultimately ... Keywords: Maintenance, Resources planning, Theory of constraints

J. Ashayeri

2007-12-01T23:59:59.000Z

397

Compact Totally Disconnected Moufang Buildings  

E-Print Network (OSTI)

Let $\\Delta$ be a spherical building each of whose irreducible components is infinite, has rank at least 2 and satisfies the Moufang condition. We show that $\\Delta$ can be given the structure of a topological building that is compact and totally disconnected precisely when $\\Delta$ is the building at infinity of a locally finite affine building.

Grundhofer, T; Van Maldeghem, H; Weiss, R M

2010-01-01T23:59:59.000Z

398

Total Imports of Residual Fuel  

Annual Energy Outlook 2012 (EIA)

2007 2008 2009 2010 2011 2012 View History U.S. Total 135,676 127,682 120,936 133,646 119,888 93,672 1936-2012 PAD District 1 78,197 73,348 69,886 88,999 79,188 59,594 1981-2012...

399

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)

400

The integration of climatic data sets for wind resource assessment  

DOE Green Energy (OSTI)

One barrier to wind energy development, in many regions of the world, is the lack of reliable information about the spacial distribution of the wind energy resource. The goal of the U.S. Department of Energy (DOE) Wind Energy Program`s wind resource assessment group is to improve the characterization of the wind resource in many of these regions in support of U.S. wind energy industry. NREL provides wind resource assessments for our clients in the form of reports, atlases, and wind resource maps. The assessments estimate the level of the wind resource, at wind turbine hub heights (typically 30m to 50m above ground level), for locations exposed to the prevailing winds.

Schwartz, M.N.; Elliott, D.L.

1997-09-01T23:59:59.000Z

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

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining the equipment for reclamation? Types of Costs #12;· Marginal Cost: ­ Change in total cost ­ Any production process involves fixed and variable costs. As production increases/expands, fixed costs are unchanged, so

Boisvert, Jeff

402

NREL: Transmission Grid Integration - Data and Resources  

NLE Websites -- All DOE Office Websites (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,

403

Assessment of Biomass Resources in Liberia  

DOE Green Energy (OSTI)

Biomass resources meet about 99.5% of the Liberian population?s energy needs so they are vital to basic welfare and economic activity. Already, traditional biomass products like firewood and charcoal are the primary energy source used for domestic cooking and heating. However, other more efficient biomass technologies are available that could open opportunities for agriculture and rural development, and provide other socio-economic and environmental benefits.The main objective of this study is 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. It intends to inform policy makers and industry developers of the biomass resource availability in Liberia, identify areas with high potential, and serve as a base for further, more detailed site-specific assessments.

Milbrandt, A.

2009-04-01T23:59:59.000Z

404

Total Risk Approach in Applying PRA to Criticality Safety  

SciTech Connect

As nuclear industry continues marching from an expert-base support to more procedure-base support, it is important to revisit the total risk concept to criticality safety. A key objective of criticality safety is to minimize total criticality accident risk. The purpose of this paper is to assess key constituents of total risk concept pertaining to criticality safety from an operations support perspective and to suggest a risk-informed means of utilizing criticality safety resources for minimizing total risk. A PRA methodology was used to assist this assessment. The criticality accident history was assessed to provide a framework for our evaluation. In supporting operations, the work of criticality safety engineers ranges from knowing the scope and configurations of a proposed operation, performing criticality hazards assessment to derive effective controls, assisting in training operators, response to floor questions, surveillance to ensure implementation of criticality controls, and response to criticality mishaps. In a compliance environment, the resource of criticality safety engineers is increasingly being directed towards tedious documentation effort to meet some regulatory requirements to the effect of weakening the floor support for criticality safety. By applying a fault tree model to identify the major contributors of criticality accidents, a total risk picture is obtained to address relative merits of various actions. Overall, human failure is the key culprit in causing criticality accidents. Factors such as failure to follow procedures, lacks of training, lack of expert support at the floor level etc. are main contributors. Other causes may include lack of effective criticality controls such as inadequate criticality safety evaluation. Not all of the causes are equally important in contributing to criticality mishaps. Applying the limited resources to strengthen the weak links would reduce risk more than continuing emphasis on the strong links of criticality safety support. For example, some compliance failures such as lack of detailed documentation may not be as relevant as the lack of floor support in answering operator's questions during operations. Misuse of resources in reducing lesser causes rather than on major causes of criticality accidents is not risk free without severe consequences. A regulatory mandate without due consideration of total risk may have its opposite effect of increasing the total risk of an accident. A lesson is to be learned here. For regulatory standard/guide development, use of ANS/ANSI standard process, which provides the pedigree of consensus participation, is recommended.

Huang, S T

2005-03-24T23:59:59.000Z

405

A National Resource  

NLE Websites -- All DOE Office Websites (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

406

NREL: Renewable Resource Data Center - Geothermal Resource Information  

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

Renewable Resource Data Center Search More Search Options Site Map Printable Version Geothermal Resource Information Photo of the Hot Springs Lodge and Pool. The Hot Springs Lodge...

407

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

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

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

408

Depleted UF6 Internet Resources  

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

DUF6 Guide DU Uses DUF6 Management and Uses DUF6 Conversion EIS Documents News FAQs Internet Resources Glossary Home Internet Resources Depleted UF6 Internet Resources Links...

409

Hydropower Resource Assessment Modeling Results  

DOE Green Energy (OSTI)

The Hydropower Evaluation Software uses the Federal Energy Regulatory Commission?s Hydroelectric Power Resource Assessment database to identify sites with undeveloped hydropower capacity and the estimated megawatts of undeveloped capacity at each site. The software integrates this information with environmental values from the National Park Service?s National Rivers Inventory database. Other constraints to development that are modeled include Federal and state legislative protection for river segments that have been identified as being wild and scenic river segments. River segments containing threatened and/or endangered wildlife and fish are also modeled for their influence on hydropower development. The amount that each attribute affects the likelihood of development is dependent on the prior development of a site.

A. M. Conner; J. E. Francfort

1999-07-06T23:59:59.000Z

410

The unit cost factors and calculation methods for decommissioning - Cost estimation of nuclear research facilities  

SciTech Connect

Available in abstract form only. Full text of publication follows: The uncertainties of decommissioning costs increase high due to several conditions. Decommissioning cost estimation depends on the complexity of nuclear installations, its site-specific physical and radiological inventories. Therefore, the decommissioning costs of nuclear research facilities must be estimated in accordance with the detailed sub-tasks and resources by the tasks of decommissioning activities. By selecting the classified activities and resources, costs are calculated by the items and then the total costs of all decommissioning activities are reshuffled to match with its usage and objectives. And the decommissioning cost of nuclear research facilities is calculated by applying a unit cost factor method on which classification of decommissioning works fitted with the features and specifications of decommissioning objects and establishment of composition factors are based. Decommissioning costs of nuclear research facilities are composed of labor cost, equipment and materials cost. Of these three categorical costs, the calculation of labor costs are very important because decommissioning activities mainly depend on labor force. Labor costs in decommissioning activities are calculated on the basis of working time consumed in decommissioning objects and works. The working times are figured out of unit cost factors and work difficulty factors. Finally, labor costs are figured out by using these factors as parameters of calculation. The accuracy of decommissioning cost estimation results is much higher compared to the real decommissioning works. (authors)

Kwan-Seong Jeong; Dong-Gyu Lee; Chong-Hun Jung; Kune-Woo Lee [Korea Atomic Energy Research Institute, Deokjin-dong 150, Yuseong-gu, Daejeon 305-353 (Korea, Republic of)

2007-07-01T23:59:59.000Z

411

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

412

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"

413

ARM - Measurement - Total cloud water  

NLE Websites -- All DOE Office Websites (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

414

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

415

Employee Resource Groups | Department of Energy  

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

Services Diversity and Inclusion Employee Resource Groups Employee Resource Groups Diversity and Inclusion Employee Resource Groups Related Documents Special Emphasis...

416

Resource supply shocks and the interest rate  

SciTech Connect

Using a model of optimal economic growth with exhaustible resources, the author focuses on a real shock as an essential element of a model of ecomomic fluctuations that contributes substantially to variations in the interest rate, and output. When there occurs a sudden negative resource supply shock, the rate of extraction of the resource declines. Along the optimal path with capital stock fixed in the short run, the output-capital ratio and the real interest rate fall instantaneously. The hypothesis is tested with the quarterly US data using estimation techniques of Vector Autoregressions (VARs). Included are five variables in the VAR model: crude oil price, price level, interest rate, industrial production, and copper price. The general vector autoregressive models are estimated with a prior distribution imposed on the parameters of the model. The period of fit is 1958 to 1983. Impulse response functions of the system and historical decompositions of the time series are investigated. Empirical studies support the derived working hypothesis that real interest rate falls instantaneously and then slowly recovers in the long run when there occurs a negative resource supply shock.

Kang, M.S.

1984-01-01T23:59:59.000Z

417

Geothermal resource assessment, South Dakota: Final report  

SciTech Connect

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

418

Wind Energy Resource Assessment of the Caribbean and Central America  

DOE Green Energy (OSTI)

A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

1987-04-01T23:59:59.000Z

419

Automated cloud resource orchestration  

Science Conference Proceedings (OSTI)

Realizing Infrastructure-as-a-Service (IaaS) cloud requires a control platform for orchestrating the provisioning, configuration, management and decommissioning of a distributed set of diverse cloud resources (i.e., compute, storage, network) serving ...

Changbin Liu / Boon Thau Loo

2012-01-01T23:59:59.000Z

420

Resources Process Contaminants  

Science Conference Proceedings (OSTI)

General Information on process contaminants(3-MCPD). Reference list included. Resources Process Contaminants 3-MCPD 2-diol 3-MCPD 3-MCPD Esters 3-monochloropropane-1 acid analysis aocs april articles certified chemists chloropropanediol contaminants dete

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

resources.html  

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

The First International Powers of Ten Day October 10, 2000 A richness of resources for math, science, social studies and the arts await educators and lifelong learners in the...

422

special events and resources  

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

and Resources School and Fermilab Prairie Data Fermilab is putting prairie and bird data on the Web so it can be accessed by the general public, especially students and...

423

Solar Energy Resources  

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

Solar radiation, often called the solar resource, is a general term for the electromagnetic radiation emitted by the sun. Solar radiation can be captured and turned into useful forms of energy,...

424

Manhattan Project: Resources  

Office of Scientific and Technical Information (OSTI)

page is original to the Department of Energy's Office of History and Heritage Resources. Home | History Office | OpenNet | DOE | Privacy and Security Notices About this Site | How...

425

AIR RESOURCES BOARD Acknowledgements  

E-Print Network (OSTI)

This report was prepared with the assistance and support from other agencies, divisions and offices of the Air Resources Board, and private firms. Staff would especially like to thank the following individuals for their assistance in developing this proposed pathway:

Green Wastes; Green Wastes; Richard Corey; Deputy Executive Officer; Cynthia Marvin Chief; Michael Waugh Chief; Kamal Ahuja; Brian Helmowski; Wes Ingram; Ray Asregadoo (arb; Juliet Bohn (hwma; Richard Boyd (arb; Alicia Chakrabarthy (ebmud; Steven Cliff (arb; Kevin Dickison (ebmud; Jacques Franco (calrecycle

2012-01-01T23:59:59.000Z

426

Resources for Process Contaminants  

Science Conference Proceedings (OSTI)

Detailed information regarding 3-MCPD esters and a reference list by topic. Resources for Process Contaminants 3-MCPD 2-diol 3-MCPD 3-MCPD Esters 3-monochloropropane-1 acid analysis aocs april articles certified chemists chloropropanediol contaminants de

427

Resources for Partners  

SciTech Connect

This DOE Industrial Technologies Program fact sheet describes the resources and opportunities available to partners how manufacturing plants can save energy and money by making energy efficiency improvements to their industrial process heating systems.

2006-02-01T23:59:59.000Z

428

Manhattan Project Historical Resources  

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

The Department of Energy has developed and made available to the public--in print, online, and on display--a variety of Manhattan Project historical resources. These include histories, websites,...

429

MANHATTAN PROJECT HISTORICAL RESOURCES  

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

The Department of Energy has developed and made available to the public--in print, online, and on display--a variety of Manhattan Project historical resources. These include histories, websites,...

430

resource | OpenEI Community  

Open Energy Info (EERE)

resource Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 26 September, 2012 - 15:36 Energy API and dataset overview cleanweb hackathon resource webinar Today,...

431

Additional Resources | Department of Energy  

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

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

432

Energy Basics: Wind Energy Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Energy...

433

Archives and History Office: Resources  

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

Resources Resources Information from the SLAC Archives and History Office can be found using the following tools. Historical Photographs provides an interface to our photograph...

434

Geothermal Resources | Department of Energy  

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

Geothermal Resources Geothermal Resources August 14, 2013 - 1:58pm Addthis Although geothermal heat pumps can be used almost anywhere, most direct-use and electrical production...

435

Resource Allocation with Time Intervals  

E-Print Network (OSTI)

0 , tj > sj, is assigned such that the resource consumption occurs only ... project requires an amount wj of a limited resource such as labor, workspace or energy.

436

NATURAL RESOURCES ASSESSMENT  

DOE Green Energy (OSTI)

The purpose of this report is to summarize the scientific work that was performed to evaluate and assess the occurrence and economic potential of natural resources within the geologic setting of the Yucca Mountain area. The extent of the regional areas of investigation for each commodity differs and those areas are described in more detail in the major subsections of this report. Natural resource assessments have focused on an area defined as the ''conceptual controlled area'' because of the requirements contained in the U.S. Nuclear Regulatory Commission Regulation, 10 CFR Part 60, to define long-term boundaries for potential radionuclide releases. New requirements (proposed 10 CFR Part 63 [Dyer 1999]) have obviated the need for defining such an area. However, for the purposes of this report, the area being discussed, in most cases, is the previously defined ''conceptual controlled area'', now renamed the ''natural resources site study area'' for this report (shown on Figure 1). Resource potential can be difficult to assess because it is dependent upon many factors, including economics (demand, supply, cost), the potential discovery of new uses for resources, or the potential discovery of synthetics to replace natural resource use. The evaluations summarized are based on present-day use and economic potential of the resources. The objective of this report is to summarize the existing reports and information for the Yucca Mountain area on: (1) Metallic mineral and mined energy resources (such as gold, silver, etc., including uranium); (2) Industrial rocks and minerals (such as sand, gravel, building stone, etc.); (3) Hydrocarbons (including oil, natural gas, tar sands, oil shales, and coal); and (4) Geothermal resources. Groundwater is present at the Yucca Mountain site at depths ranging from 500 to 750 m (about 1,600 to 2,500 ft) below the ground surface. Groundwater resources are not discussed in this report, but are planned to be included in the hydrology section of future revisions of the ''Yucca Mountain Site Description'' (CRWMS M&O 2000c).

D.F. Fenster

2000-12-11T23:59:59.000Z

437

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

438

"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"

439

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

440

Solar total energy project Shenandoah  

DOE Green Energy (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

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

Grantee Total Number of Homes  

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

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

442

Estimated Cost Description Determination Date:  

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

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

443

A bottom-up engineering estimate of the aggregate heating and cooling loads of the entire U.S. building stock  

E-Print Network (OSTI)

quad. The estimates for total energy usage are within 12% ofthe total heating and cooling energy usages represented bythe total heating and cooling energy usages represented by

Huang, Yu Joe; Brodrick, Jim

2000-01-01T23:59:59.000Z

444

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. ...

Gaël Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

445

Estimation of the evacuation time in an emergency situation in hospitals  

Science Conference Proceedings (OSTI)

In this paper, a prediction model is presented that estimates the evacuation time in an emergency situation for hospitals. The model is generic enough to be used in various hospital settings. This model can provide incident managers with estimates of ... Keywords: Emergency event, Evacuation modeling, Resource allocation, Resource management, Simulation

Davood Golmohammadi; Daniel Shimshak

2011-11-01T23:59:59.000Z

446

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network (OSTI)

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

447

River flow estimation using adaptive neuro fuzzy inference system  

Science Conference Proceedings (OSTI)

Accurate estimation of River flow changes is a quite important problem for a wise and sustainable use. Such a problem is crucial to the works and decisions related to the water resources and management. In this study, an adaptive network-based fuzzy ... Keywords: ANFIS, ANN, Fuzzy logic, Great Menderes River, River flow estimation

Mahmut Firat; Mahmud Güngör

2007-07-01T23:59:59.000Z

448

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:

449

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

DOE Green Energy (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

450

Total quality management implementation guidelines  

SciTech Connect

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

451

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

E-Print Network (OSTI)

5-5. 1993 Electricity Consumption Estimates by End Use forft ) 1993 Electricity Consumption Estimates by End Use forTotal) 1993 Electricity Consumption Estimates by End Use for

Konopacki, S.J.

2010-01-01T23:59:59.000Z

452

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population...........................................................................................40 Comparison to dose estimates from global fallout

453

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

454

Teacher and General Resources  

NLE Websites -- All DOE Office Websites (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

455

Resources | Department of Energy  

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

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

456

Relocation Guide, Human Resources  

NLE Websites -- All DOE Office Websites (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

457

Internal Resources Home  

NLE Websites -- All DOE Office Websites (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

458

Laboratory Computing Resource Center  

NLE Websites -- All DOE Office Websites (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.

459

Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads  

SciTech Connect

This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

Denholm, P.; Ong, S.; Booten, C.

2012-05-01T23:59:59.000Z

460

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

Science Conference Proceedings (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

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

Resources: ADEPS: LANL Inside  

NLE Websites -- All DOE Office Websites (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

462

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

463

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

464

Resource Adequacy Implications of Forthcoming EPA Air Quality Regulations  

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

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.

465

Wind Energy Resource Atlas of the United States  

DOE Data Explorer (OSTI)

This atlas, containing more than 72 maps, estimates wind energy resource for the United States and its terrorities. Early wind resource atlases created for the Federal Wind Energy Program were based on date collected before 1979. Since then, hundreds of new sites have been instrumented specifically for wind energy assessment purposes, and many of these have been located in areas thought to have high wind resource but where data were previously not available or were very limited [copied from http://rredc.nrel.gov/wind/pubs/atlas/chp1.html].

466

DOE G 430.1-1 Chp 6, Project Functions and Activities Definitions for Total Project Cost  

Directives, Delegations, and Requirements

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

1997-03-28T23:59:59.000Z

467

Accounting for Depletion of Oil and Gas Resources in Malaysia  

Science Conference Proceedings (OSTI)

Since oil and gas are non-renewable resources, it is important to identify the extent to which they have been depleted. Such information will contribute to the formulation and evaluation of appropriate sustainable development policies. This paper provides an assessment of the changes in the availability of oil and gas resources in Malaysia by first compiling the physical balance sheet for the period 2000-2007, and then assessing the monetary balance sheets for the said resource by using the Net Present Value method. Our findings show serious reduction in the value of oil reserves from 2001 to 2005, due to changes in crude oil prices, and thereafter the depletion rates decreased. In the context of sustainable development planning, albeit in the weak sustainability sense, it will be important to ascertain if sufficient reinvestments of the estimated resource rents in related or alternative capitals are being attempted by Malaysia. For the study period, the cumulative resource rents were to the tune of RM61 billion. Through a depletion or resource rents policy, the estimated quantum may guide the identification of a reinvestment threshold (after considering needed capital investment for future development of the industry) in light of ensuring the future productive capacity of the economy at the time when the resource is exhausted.

Othman, Jamal, E-mail: jortman@ukm.my; Jafari, Yaghoob, E-mail: yaghoob.jafari@gmail.com [Universiti Kebangsaan Malaysia, Faculty of Economics and Management (Malaysia)

2012-12-15T23:59:59.000Z

468

Information Resources: Tools  

NLE Websites -- All DOE Office Websites (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.

469

Methodology for Costing Ancillary Services from Hydro Resources  

Science Conference Proceedings (OSTI)

Due to the unique flexibility of Hydro resources, Hydro resource owners perceive a unique opportunity to profit from emerging markets for Ancillary Services (A/S) service products. Effective pricing and profitability measurement tools, however, are not widely available. This report creates a framework for defining A/S products and develops a methodology for calculating total incremental costs of providing A/S in terms of five cost elements.

2000-11-29T23:59:59.000Z

470

"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"

471

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

472

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 222 194 17...

473

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,100...

474

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,928 1,316...

475

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

476

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

477

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

478

Total Space Heating Water Heating Cook-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

479

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

DOE Green Energy (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

480

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

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.


481

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

482

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

483

Live Working Resource Forum  

Science Conference Proceedings (OSTI)

This project involves development of a Live Working Resource Forum for documenting common and unique live work practices. It also serves as a repository of lessons learned derived from analysis of live work incidents. This Technical Update report is the design document of the Forum.

2006-12-14T23:59:59.000Z

484

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

485

ADMINISTRATIVE AND RESOURCE MANAGEMENT  

E-Print Network (OSTI)

development of risk management- relatedITservicesthatbenefittheentireUCsystem. The systems developed at UC and maintenance have diminished so dramatically. #12;7 ADMINISTRATIVE AND RESOURCE MANAGEMENT AnnuAl RepoRt 2010, are collaborating to implement a new asset management, work management, and integrated planning system

Hammock, Bruce D.

486

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

487

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

488

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

489

Determination of total gas in lithium tritide-deuteride compounds  

DOE Green Energy (OSTI)

Lithium tritide--deuteride samples are enclosed in a copper foil and decomposed by heating to 850/sup 0/C in a copper reaction tube in vacuum. The temperature and pressure of the evolved gas, collected in a measured volume using a Toepler pump, are measured to determine the total moles of gas released from the sample. The gas is transferred to a removable sample bulb and, if required, analyzed for gaseous constituents by mass spectrometry. Based on 14 total gas determinations for a lithium deuteride sample, the calculated relative standard deviation was 1.0% and the estimated bias was <2.5%.

Smith, M.E.; Koski, N.L.; Waterbury, G.R.

1979-04-01T23:59:59.000Z

490

C. ESTIMATED COSTS OF LRDP PROPOSALS C. ESTIMATED COSTS OF LRDP PROPOSALS  

E-Print Network (OSTI)

, categorized by project category by site and with total estimated project costs. Table 38 compares and the Medical Center). /d/ Aldea housing project only; additional housing is planned, but the costs are highly renovation for the laboratory buildings). Recent projects comprised 19% of the total costs compared with 17

Mullins, Dyche

491

Valuation of ecological resources  

SciTech Connect

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

492

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

493

Employment and land-use impacts of resource program elements  

DOE Green Energy (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

494

Performance Period Total Fee Paid FY2001  

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

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

495

Validation of New Wind Resource Maps: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) recently led a project to validate updated state wind resource maps for the northwestern United States produced by a private U.S. company, TrueWind Solutions (TWS). The independent validation project was a cooperative activity among NREL, TWS, and meteorological consultants. It became clear that using a numerical modeling approach for wind resource mapping was rapidly gaining ground as a preferred technique and if the trend continues, it will soon become the most widely used technique around the world. The numerical modeling approach is a relatively fast application compared to older mapping methods and, in theory, should be quite accurate because it directly estimates the magnitude of boundary-layer processes that affect the wind resource of a particular location. Numerical modeling output combined with high-resolution terrain data can produce useful wind resource information at a resolution of 1 km or lower. However, because the use of the numerical modeling approach is new (last 3-5 years) and relatively unproven, meteorological consultants question the accuracy of the approach.

Elliott, D.; Schwartz, M.

2002-05-01T23:59:59.000Z