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1

Tropical Africa: Calculated Actual Aboveground Live Biomass in Open and  

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

Calculated Actual Aboveground Live Biomass in Open and Calculated Actual Aboveground Live Biomass in Open and Closed Forests (1980) 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 Land Use Maximum Potential Biomass Density Area of Closed Forests (By Country) Mean Biomass of Closed Forests (By Country) Area of Open Forests (By Country) Mean Biomass of Open Forests (By County) Percent Forest Cover (By Country) Total Forest Biomass (By Country) Population Density - 1990 (By Administrative Unit) Population Density - 1980 (By Administrative Unit) Population Density - 1970 (By Administrative Unit) Population Density - 1960 (By Administrative Unit)

2

Trends of Calculated and Simulated Actual Evaporation in the Yangtze River Basin  

Science Conference Proceedings (OSTI)

Actual evaporation in the Yangtze River basin is calculated by the complementary relationship approach—that is, the advection–aridity (AA) model with parameter validation from 1961 to 2007—and simulated by the general circulation model (GCM) ...

Yanjun Wang; Bo Liu; Buda Su; Jianqing Zhai; Marco Gemmer

2011-08-01T23:59:59.000Z

3

New Mariners and a Massive Map: Berkeley Computers Calculate...  

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

Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky New Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky February 2, 2012 - 12:08pm...

4

New Mariners and a Massive Map: Berkeley Computers Calculate What's in the  

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

Mariners and a Massive Map: Berkeley Computers Calculate What's Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky New Mariners and a Massive Map: Berkeley Computers Calculate What's in the Sky February 2, 2012 - 12:08pm Addthis This is the Southern Galactic Cap view as recorded by the Sloan Digital Sky Survey. A 2.5-meter telescope at Apache Point Observatory in New Mexico took in light from over a third of the total area of the sky (14,000 square degrees) including 1.5 million galaxies. | Photo courtesy of the Sloan Digital Sky Survey. This is the Southern Galactic Cap view as recorded by the Sloan Digital Sky Survey. A 2.5-meter telescope at Apache Point Observatory in New Mexico took in light from over a third of the total area of the sky (14,000 square degrees) including 1.5 million galaxies. | Photo courtesy of the Sloan

5

Calculating What's in the Universe from the Biggest Color 3-D Map  

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

Calculating What's Calculating What's in the Universe from the Biggest Color 3-D Map Calculating What's in the Universe from the Biggest Color 3-D Map Berkeley Lab scientists and their Sloan Digital Sky Survey colleagues use galactic brightness to build a precision model of the cosmos January 11, 2012 | Tags: Astrophysics Paul Preuss, +1 510 486 6249, paul_preuss@lbl.gov This image shows over a million luminous galaxies at redshifts indicating times when the universe was between seven and eleven billion years old, from which the sample in the current studies was selected. (By David Kirkby of the University of California at Irvine and the SDSS collaboration.) Since 2000, the three Sloan Digital Sky Surveys (SDSS I, II, III) have surveyed well over a quarter of the night sky and produced the biggest

6

Quasi-Static Conductor Loss Calculations in Transmission Lines using a New Conformal Mapping Technique  

E-Print Network (OSTI)

Abstract- A new approximation technique to find the total series impedance per unit length for quasi-TEM transmission lines including conductor loss has been developed. It is shown through the use of conformal mapping that both frequency dependent skin-depth and proximity effects can be accurately modeled. Comparison between experimental measurements and calculations for twin-lead, coplanar strips, parallel square bars, and coplanar waveguide all show excellent agreement. This technique is easily generalized to any transmission line making use of polygonal cross-section conductors. I.

Emre Tuncer; Beom-taek Lee; M. Saiful Islam; Dean P. Neikirk

1994-01-01T23:59:59.000Z

7

Maps  

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

Maps Maps Maps Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Contact LANL Directory 667-5061 Badge Office (505) 667-6901 Email Institutional Visits and Events (505) 667-2222 Location and directions How to get to LANL Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Laboratory facilities can be found in 50 different work areas that are spread across 36 square miles. Below is the general location of the Otowi Building, Badge Office, cafeteria, and Research Library. V Screen reader users: click here for plain HTML Go to Google Maps Home Casa Grande Drive, Los Alamos, NM

8

Fermilab Map Instructions  

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

Fermilab interactive map is actually a series of maps. The first map in the series--the map that you just clicked on to get this window--is an overview of the entire Fermilab site....

9

How People Actually Use Thermostats  

Science Conference Proceedings (OSTI)

Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

2010-08-15T23:59:59.000Z

10

Quantization of Anosov maps  

SciTech Connect

Cat maps, linear automorphisms of the torus, are standard examples of classically chaotic systems, but they are periodic when quantized, leading to many untypical consequences. Anosov maps are topologically equivalent to cat maps despite being nonlinear. Generalizing the original quantization of cat maps, we establish that quantum Anosov maps have typical spectral fluctuations for classically chaotic systems. The periodic orbit theory for the spectra of quantum Anosov maps is not exact, as it is for cat maps. Nonetheless our calculations verify that the semiclassical trace of the propagator is accurate well beyond any ``log time`` cutoff. {copyright} 1995 Academic Press, Inc.

Basilio de Matos, M.; Ozorio de Almeida, A.M. [IF, Universidade Estadual de Campinas, 13081, Campinas, SP (Brazil)

1995-01-01T23:59:59.000Z

11

Gridded state maps of wind electric potential  

DOE Green Energy (OSTI)

Estimates of wind electric potential and available windy land area in the contiguous United States, calculated in 1991, have been revised by incorporating actual data on the distribution of environmental exclusion areas where wind energy development would be prohibited or severely restricted. The new gridded data base with actual environmental exclusion areas, in combination with a 'moderate' land-use scenario, is the basis for developing the first gridded maps of available windy land and wind electric potential. Gridded maps for the 48 contiguous states show the estimated windy land area and electric potential for each grid cell (1/40 latitude by 1/30 longitude). These new maps show the distribution of the estimated wind electric potential and available windy land within an individual state, unlike previous national maps that only show estimates of the total wind electric potential for the state as a whole. While changes for some individual states are fairly large (in percentage), on a national basis, the estimated windy land area and wind electric potential are only about 1% to 2% higher than estimated in 1991.

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

1992-10-01T23:59:59.000Z

12

Before Getting There: Potential and Actual Collaboration  

Science Conference Proceedings (OSTI)

In this paper we introduce the concepts of Actual and Potential Collaboration Spaces. The former applies to the space where collaborative activities are performed, while the second relates to the initial space where opportunities for collaboration are ... Keywords: Doc2U, PIÑAS, casual and informal interactions, potential and actual collaboration spaces, potential collaboration awareness

Alberto L. Morán; Jesús Favela; Ana María Martínez Enríquez; Dominique Decouchant

2002-09-01T23:59:59.000Z

13

Estimating Actual Evapotranspiration from Satellite and Meteorological Data in Central Bolivia  

Science Conference Proceedings (OSTI)

Spatial estimates of actual evapotranspiration are useful for calculating the water balance of river basins, quantifying hydrological services provided by ecosystems, and assessing the hydrological impacts of land-use practices. To provide this ...

Christian Seiler; Arnold F. Moene

2011-05-01T23:59:59.000Z

14

Decision-Making in Structure Solution using Bayesian Estimates of Map Quality: The PHENIX AutoSol Wizard  

SciTech Connect

Estimates of the quality of experimental maps are important in many stages of structure determination of macromolecules. Map quality is defined here as the correlation between a map and the map calculated based on a final refined model. Here we examine 10 different measures of experimental map quality using a set of 1359 maps calculated by reanalysis of 246 solved MAD, SAD, and MIR datasets. A simple Bayesian approach to estimation of map quality from one or more measures is presented. We find that a Bayesian estimator based on the skew of histograms of electron density is the most accurate of the 10 individual Bayesian estimators of map quality examined, with a correlation between estimated and actual map quality of 0.90. A combination of the skew of electron density with the local correlation of rms density gives a further improvement in estimating map quality, with an overall correlation coefficient of 0.92. The PHENIX AutoSol Wizard carries out automated structure solution based on any combination of SAD, MAD, SIR, or MIR datasets. The Wizard is based on tools from the PHENIX package and uses the Bayesian estimates of map quality described here to choose the highest-quality solutions after experimental phasing.

Terwilliger, T. C.; Adams, P. D.; Read, R. J.; McCoy, A. J.; Moriarty, Nigel W.; Grosse-Kunstleve, R. W.; Afonine, P. V.; Zwart, P. H.; Hung, L.-W.

2009-03-01T23:59:59.000Z

15

Table 13. Coal Production, Projected vs. Actual  

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

Coal Production, Projected vs. Actual" Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",999,1021,1041,1051,1056,1066,1073,1081,1087,1098,1107,1122,1121,1128,1143,1173,1201,1223 "AEO 1995",,1006,1010,1011,1016,1017,1021,1027,1033,1040,1051,1066,1076,1083,1090,1108,1122,1137 "AEO 1996",,,1037,1044,1041,1045,1061,1070,1086,1100,1112,1121,1135,1156,1161,1167,1173,1184,1190 "AEO 1997",,,,1028,1052,1072,1088,1105,1110,1115,1123,1133,1146,1171,1182,1190,1193,1201,1209 "AEO 1998",,,,,1088,1122,1127.746338,1144.767212,1175.662598,1176.493652,1182.742065,1191.246948,1206.99585,1229.007202,1238.69043,1248.505981,1260.836914,1265.159424,1284.229736

16

Table 22. Energy Intensity, Projected vs. Actual  

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

Energy Intensity, Projected vs. Actual" Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / real GDP in billion 2005 chained dollars)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",11.24893441,11.08565002,10.98332766,10.82852279,10.67400621,10.54170176,10.39583203,10.27184573,10.14478673,10.02575883,9.910410202,9.810812106,9.69894802,9.599821783,9.486985399,9.394733753,9.303329725,9.221322623 "AEO 1995",,10.86137373,10.75116461,10.60467959,10.42268977,10.28668187,10.14461664,10.01081222,9.883759026,9.759022105,9.627404949,9.513643295,9.400418762,9.311729546,9.226142899,9.147374752,9.071102491,8.99599906 "AEO 1996",,,10.71047701,10.59846153,10.43655044,10.27812088,10.12746866,9.9694713,9.824165152,9.714832565,9.621874334,9.532324916,9.428169355,9.32931308,9.232716414,9.170931044,9.086870061,9.019963901,8.945602337

17

Improving Industrial Refrigeration System Efficiency - Actual Applications  

E-Print Network (OSTI)

This paper discusses actual design and modifications for increased system efficiency and includes reduced chilled liquid flow during part load operation, reduced condensing and increased evaporator temperatures for reduced system head, thermosiphon cycle cooling during winter operation, compressor intercooling, direct refrigeration vs. brine cooling, insulation of cold piping to reduce heat gain, multiple screw compressors for improved part load operation, evaporative condensers for reduced system head and pumping energy, and using high efficiency motors.

White, T. L.

1980-01-01T23:59:59.000Z

18

A Sensitivity Study of Building Performance Using 30-Year Actual...  

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

Contacts Media Contacts A Sensitivity Study of Building Performance Using 30-Year Actual Weather Data Title A Sensitivity Study of Building Performance Using 30-Year Actual...

19

Table 14. Coal Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Production, Projected vs. Actual Coal Production, Projected vs. Actual (million short tons) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 914 939 963 995 1031 1080 AEO 1983 900 926 947 974 1010 1045 1191 AEO 1984 899 921 948 974 1010 1057 1221 AEO 1985 886 909 930 940 958 985 1015 1041 1072 1094 1116 AEO 1986 890 920 954 962 983 1017 1044 1073 1097 1126 1142 1156 1176 1191 1217 AEO 1987 917 914 932 962 978 996 1020 1043 1068 1149 AEO 1989* 941 946 977 990 1018 1039 1058 1082 1084 1107 1130 1152 1171 AEO 1990 973 987 1085 1178 1379 AEO 1991 1035 1002 1016 1031 1043 1054 1065 1079 1096 1111 1133 1142 1160 1193 1234 1272 1309 1349 1386 1433 AEO 1992 1004 1040 1019 1034 1052 1064 1074 1087 1102 1133 1144 1156 1173 1201 1229 1272 1312 1355 1397 AEO 1993 1039 1043 1054 1065 1076 1086 1094 1102 1125 1136 1148 1161 1178 1204 1237 1269 1302 1327 AEO 1994 999 1021

20

Spin resonance strength calculations  

SciTech Connect

In calculating the strengths of depolarizing resonances it may be convenient to reformulate the equations of spin motion in a coordinate system based on the actual trajectory of the particle, as introduced by Kondratenko, rather than the conventional one based on a reference orbit. It is shown that resonance strengths calculated by the conventional and the revised formalisms are identical. Resonances induced by radiofrequency dipoles or solenoids are also treated; with rf dipoles it is essential to consider not only the direct effect of the dipole but also the contribution from oscillations induced by it.

Courant,E.D.

2008-10-06T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

An algorithm for map enumeration  

E-Print Network (OSTI)

Bauer and Itzykson showed that associated to each labeled map embedded on an oriented Riemann surface there was a group generated by a pair of permutations. From this result an algorithm may be constructed for enumerating labeled maps, and this construction is easily augmented to bin the numbers by the genus of the surface the map is embedded in. The results agree with the calculations of Harer and Zagier of 1-vertex maps; with those of Bessis, Itzykson, and Zuber of 4-valent maps; and with those of Ercolani, McLaughlin, and Pierce for $2\

Virgil U. Pierce

2006-10-19T23:59:59.000Z

22

Table 23. Energy Intensity, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual (quadrillion Btu / $Billion Nominal GDP) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 20.1 18.5 16.9 15.5 14.4 13.2 AEO 1983 19.9 18.7 17.4 16.2 15.1 14.0 9.5 AEO 1984 20.1 19.0 17.7 16.5 15.5 14.5 10.2 AEO 1985 20.0 19.1 18.0 16.9 15.9 14.7 13.7 12.7 11.8 11.0 10.3 AEO 1986 18.3 17.8 16.8 16.1 15.2 14.3 13.4 12.6 11.7 10.9 10.2 9.5 8.9 8.3 7.8 AEO 1987 17.6 17.0 16.3 15.4 14.5 13.7 12.9 12.1 11.4 8.2 AEO 1989* 16.9 16.2 15.2 14.2 13.3 12.5 11.7 10.9 10.2 9.6 9.0 8.5 8.0 AEO 1990 16.1 15.4 11.7 8.6 6.4 AEO 1991 15.5 14.9 14.2 13.6 13.0 12.5 11.9 11.3 10.8 10.3 9.7 9.2 8.7 8.3 7.9 7.4 7.0 6.7 6.3 6.0 AEO 1992 15.0 14.5 13.9 13.3 12.7 12.1 11.6 11.0 10.5 10.0 9.5 9.0 8.6 8.1 7.7 7.3 6.9 6.6 6.2 AEO 1993 14.7 13.9 13.4 12.8 12.3 11.8 11.2 10.7 10.2 9.6 9.2 8.7 8.3 7.8 7.4 7.1 6.7 6.4

23

Advanced Online Flux Mapping of CANDU PHWR by Least-Squares Method  

Science Conference Proceedings (OSTI)

A least-squares method that solves both the core neutronics design equations and the in-core detector response equations on the least-squares principle is presented as a new advanced online flux-mapping method for CANada Deuterium Uranium (CANDU) pressurized heavy water reactors (PHWRs). The effectiveness of the new flux-mapping method is examined in terms of online flux-mapping calculations with numerically simulated true flux distribution and detector signals and those with the actual core-follow data for the Wolsong CANDU PHWRs in Korea. The effects of core neutronics models as well as the detector failures and uncertainties of measured detector signals on the effectiveness of the least-squares flux-mapping calculations are also examined.The following results are obtained. The least-squares method predicts the flux distribution in better agreement with the simulated true flux distribution than the standard core neutronics calculations by the finite difference method (FDM) computer code without using the detector signals. The adoption of the nonlinear nodal method based on the unified nodal method formulation instead of the FDM results in a significant improvement in prediction accuracy of the flux-mapping calculations. The detector signals estimated from the least-squares flux-mapping calculations are much closer to the measured detector signals than those from the flux synthesis method (FSM), the current online flux-mapping method for CANDU reactors. The effect of detector failures is relatively small so that the plant can tolerate up to 25% of detector failures without seriously affecting the plant operation. The detector signal uncertainties aggravate accuracy of the flux-mapping calculations, yet the effects of signal uncertainties of the order of 1% standard deviation can be tolerable without seriously degrading the prediction accuracy of the least-squares method. The least-squares method is disadvantageous because it requires longer CPU time than the existing FSM. Considering ever-increasing computer speed and the improved operational safety margin of CANDU reactors gained by accurate flux-mapping calculations, however, it is concluded that the least-squares method presents an effective alternative to the existing flux-mapping method for CANDU reactors.

Hong, In Seob [Seoul National University (Korea, Republic of); Kim, Chang Hyo [Seoul National University (Korea, Republic of); Suk, Ho Chun [Korea Atomic Energy Research Institute (Korea, Republic of)

2005-07-15T23:59:59.000Z

24

A Sensitivity Study of Building Performance Using 30-Year Actual Weather  

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

Sensitivity Study of Building Performance Using 30-Year Actual Weather Sensitivity Study of Building Performance Using 30-Year Actual Weather Data Title A Sensitivity Study of Building Performance Using 30-Year Actual Weather Data Publication Type Conference Paper Year of Publication 2013 Authors Hong, Tianzhen, Wen-Kuei Chang, and Hung-Wen Lin Date Published 05/2013 Keywords Actual meteorological year, Building simulation, Energy use, Peak electricity demand, Typical meteorological year, Weather data Abstract Traditional energy performance calculated using building simulation with the typical meteorological year (TMY) weather data represents the energy performance in a typical year but not necessarily the average or typical energy performance of a building in long term. Furthermore, the simulated results do not provide the range of variations due to the change of weather, which is important in building energy management and risk assessment of energy efficiency investment. This study analyzes the weather impact on peak electric demand and energy use by building simulation using 30-year actual meteorological year (AMY) weather data for three types of office buildings at two design efficiency levels across all 17 climate zones. The simulated results from the AMY are compared to those from TMY3 to determine and analyze the differences. It was found that yearly weather variation has significant impact on building performance especially peak electric demand. Energy savings of building technologies should be evaluated using simulations with multi-decade actual weather data to fully consider investment risk and the long term performance.

25

Plutonium 239 Equivalency Calculations  

SciTech Connect

This document provides the basis for converting actual weapons grade plutonium mass to a plutonium equivalency (PuE) mass of Plutonium 239. The conversion can be accomplished by performing calculations utilizing either: (1) Isotopic conversions factors (CF{sub isotope}), or (2) 30-year-old weapons grade conversion factor (CF{sub 30 yr}) Both of these methods are provided in this document. Material mass and isotopic data are needed to calculate PuE using the isotopic conversion factors, which will provide the actual PuE value at the time of calculation. PuE is the summation of the isotopic masses times their associated isotopic conversion factors for plutonium 239. Isotopic conversion factors are calculated by a normalized equation, relative to Plutonium 239, of specific activity (SA) and cumulated dose inhalation affects based on 50-yr committed effective dose equivalent (CEDE). The isotopic conversion factors for converting weapons grade plutonium to PuE are provided in Table-1. The unit for specific activity (SA) is curies per gram (Ci/g) and the isotopic SA values come from reference [1]. The cumulated dose inhalation effect values in units of rem/Ci are based on 50-yr committed effective dose equivalent (CEDE). A person irradiated by gamma radiation outside the body will receive a dose only during the period of irradiation. However, following an intake by inhalation, some radionuclides persist in the body and irradiate the various tissues for many years. There are three groups CEDE data representing lengths of time of 0.5 (D), 50 (W) and 500 (Y) days, which are in reference [2]. The CEDE values in the (W) group demonstrates the highest dose equivalent value; therefore they are used for the calculation.

Wen, J

2011-05-31T23:59:59.000Z

26

Footprint Calculator?  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

fuels and advanced vehicles (AFVs). The Greenhouse gases, Regulated Emis- sions, and Energy use in Transportation (GREET) Fleet Foot- print Calculator can help fleets decide on...

27

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)"...

28

Shale Gas Production: Potential versus Actual GHG Emissions  

E-Print Network (OSTI)

Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan and Sergey Paltsev://globalchange.mit.edu/ Printed on recycled paper #12;1 Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan* and Sergey Paltsev* Abstract Estimates of greenhouse gas (GHG) emissions from shale gas production and use

29

Site Map  

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

Home » Site Map Home » Site Map Site Map Home About Overview NERSC Mission Contact us Staff Center Leadership Sudip Dosanjh Select Publications Jeff Broughton Katie Antypas John Shalf Francesca Verdier Center Administration James Craw Norma Early Jeff Grounds Betsy MacGowan Zaida McCunney Lynn Rippe Suzanne Stevenson David Tooker Center Communications Jon Bashor Linda Vu Margie Wylie Kathy Kincade Advanced Technologies Group Nicholas Wright Brian Austin Research Projects Matthew Cordery Christopher Daley Analytics Group Peter Nugent David Camp Hank Childs Harinarayan Krishnan Burlen Loring Joerg Meyer Prabhat Oliver Ruebel Daniela Ushizima Gunther Weber Yushu Yao Computational Systems Group Jay Srinivasan James Botts Scott Burrow Tina Butler Nick Cardo Tina Declerck Ilya Malinov David Paul Larry Pezzaglia Iwona Sakrejda

30

Manhattan Project: Maps  

Office of Scientific and Technical Information (OSTI)

MAPS MAPS Resources Scroll down to view thumbnails of each map. Leslie Groves looks at a map of Japan. Manhattan Project: General Manhattan Project Facilities Places map "Signature Facilities of the MED" map Hanford Hanford map Hanford (black and white) map Hanford Site Diagram Hanford Site Location Map Hanford: Native Peoples map Hanford: Town map Los Alamos Map of Los Alamos, New Mexico Los Alamos: "Tech Area" map Oak Ridge Map of Clinton Engineer Works, Oak Ridge Clinton Engineer Works, Oak Ridge (black and white) map Oak Ridge: Projected Site for Atomic Production Plants, 1942, map Other Flight paths for Hiroshima and Nagasaki missions map Map of the Trinity Test Site Post-War U.S. Nuclear Tests map Manhattan Project Facilities Manhattan Project Facilities

31

Table 13. Coal Production, Projected vs. Actual Projected  

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

Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 999...

32

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

33

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

34

Table 8. Total Natural Gas Consumption, Projected vs. Actual  

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

Natural Gas Consumption, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011...

35

Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China  

Science Conference Proceedings (OSTI)

Daily actual evapotranspiration over the upper Chao river basin in North China on 23 June 2005 was estimated based on the Surface Energy Balance Algorithm for Land (SEBAL), in which the parameterization schemes for calculating the instantaneous solar ...

Yanchun Gao; Di Long; Zhao-Liang Li

2008-06-01T23:59:59.000Z

36

Predicted vs. Actual Energy Savings of Retrofitted House  

E-Print Network (OSTI)

This paper reports the results of actual energy savings and the predicted energy savings of retrofitted one-story house located in Dhahran, Saudi Arabia. The process started with modeling the house prior to retrofitting and after retrofitting. The monthly metered energy consumption is acquired from the electric company archives for seven years prior to retrofitting and recording the actual monthly energy consumption of the post retrofitting. The house model is established on DOE 2.1. Actual monthly energy consumption is used to calibrate and fine-tuning the model until the gap between actual and predicted consumption was narrowed. Then the Energy Conservation Measures (ECMs) are entered into the modeled house according to the changes in thermo-physical properties of the envelope and the changes in schedules and number of users. In order to account for those differences, electrical consumption attributed to A/C in summer was isolated and compared. The study followed the International Performance Measurement & Verification Protocol (IPMVP) in assessing the impact of energy conservation measures on actual, metered, building energy consumption. The study aimed to show the predicted savings by the simulated building model and the actual utility bills' analysis in air conditioning consumption and peak at monthly load due to building envelope.

Al-Mofeez, I.

2010-01-01T23:59:59.000Z

37

ORNL DAAC Site Map  

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

Site Map ORNL DAAC Site Map About Us About ORNL DAAC Who We Are User Working Group Biogeochemical Dynamics Data Citation Policy News Newsletters Workshops Site Map Products...

38

Transfer maps and nonexistence of joint determinant.  

E-Print Network (OSTI)

Transfer Maps, sometimes called norm maps, for Milnor's $K$-theory were first defined by Bass and Tate (1972) for simple extensions of fields via tame symbol and Weil's reciprocity law, but their functoriality had not been settled until Kato (1980). On the other hand, functorial transfer maps for the Goodwillie group are easily defined. We show that these natural transfer maps actually agree with the classical but difficult transfer maps by Bass and Tate. With this result, we build an isomorphism from the Goodwillie groups to Milnor's $K$-groups of fields, which in turn provides a description of joint determinants for the commuting invertible matrices. In particular, we explicitly determine certain joint determinants for the commuting invertible matrices over a finite field, the field of rational numbers, real numbers and complex numbers into the respective group of units of given field.

Sung Myung

39

The influence of indoor temperature on the difference between actual and theoretical energy consumption for space heating  

Science Conference Proceedings (OSTI)

The Energy Advice procedure (EAP) is developed to evaluate the energetic performance of "existing" dwellings to generate a useful advice for the occupants of the dwelling to invest in rational energy measures. The EAP is based on a theoretical calculation ... Keywords: actual energy consumption, consumer behaviour, indoor temperature, space heating, theoretical energy consumption

Amaryllis Audenaert; Katleen Briffaerts; Dries De Boeck

2011-11-01T23:59:59.000Z

40

Maps and Shuttle - TMS  

Science Conference Proceedings (OSTI)

TMS 2008 Conference Maps and Shuttle Information. Ernest N. Morial Convention Center Maps All conference events, including registration, technical sessions ...

Note: This page contains sample records for the topic "maps calculated actual" 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

Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site  

E-Print Network (OSTI)

a process to model electricity bills using actual utilityin an annual cooling electricity bill that is 22% lower thantime- differentiated electricity bill calculations. 5.2.2.1

2005-01-01T23:59:59.000Z

42

Shale gas production: potential versus actual greenhouse gas emissions*  

E-Print Network (OSTI)

Shale gas production: potential versus actual greenhouse gas emissions* Francis O Environ. Res. Lett. 7 (2012) 044030 (6pp) doi:10.1088/1748-9326/7/4/044030 Shale gas production: potential gas (GHG) emissions from shale gas production and use are controversial. Here we assess the level

43

Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance  

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

Draft July 9, 2009 Draft July 9, 2009 1 Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance On Real Property 1. The following is the FY 2009 implementation procedures for the field offices/sites to determine and report deferred maintenance on real property as required by the Statement of Federal Financial Accounting Standards (SFFAS) No. 6, Accounting for Property, Plant, and Equipment (PP&E) and DOE Order 430.1B, Real Property Asset Management (RPAM). a. This document is intended to assist field offices/sites in consistently and accurately applying the appropriate methods to determine and report deferred maintenance estimates and reporting of annual required and actual maintenance costs. b. This reporting satisfies the Department's obligation to recognize and record deferred

44

Table 12. Total Coal Consumption, Projected vs. Actual  

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

Coal Consumption, Projected vs. Actual" Coal Consumption, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",920,928,933,938,943,948,953,958,962,967,978,990,987,992,1006,1035,1061,1079 "AEO 1995",,935,940,941,947,948,951,954,958,963,971,984,992,996,1002,1013,1025,1039 "AEO 1996",,,937,942,954,962,983,990,1004,1017,1027,1033,1046,1067,1070,1071,1074,1082,1087 "AEO 1997",,,,948,970,987,1003,1017,1020,1025,1034,1041,1054,1075,1086,1092,1092,1099,1104 "AEO 1998",,,,,1009,1051,1043.875977,1058.292725,1086.598145,1084.446655,1089.787109,1096.931763,1111.523926,1129.833862,1142.338257,1148.019409,1159.695312,1162.210815,1180.029785

45

Table 4. Total Petroleum Consumption, Projected vs. Actual  

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

Petroleum Consumption, Projected vs. Actual Petroleum Consumption, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 6450 6566 6643 6723 6811 6880 6957 7059 7125 7205 7296 7377 7446 7523 7596 7665 7712 7775 AEO 1995 6398 6544 6555 6676 6745 6822 6888 6964 7048 7147 7245 7337 7406 7472 7537 7581 7621 AEO 1996 6490 6526 6607 6709 6782 6855 6942 7008 7085 7176 7260 7329 7384 7450 7501 7545 7581 AEO 1997 6636 6694 6826 6953 7074 7183 7267 7369 7461 7548 7643 7731 7793 7833 7884 7924 AEO 1998 6895 6906 7066 7161 7278 7400 7488 7597 7719 7859 7959 8074 8190 8286 8361 AEO 1999 6884 7007 7269 7383 7472 7539 7620 7725 7841 7949 8069 8174 8283 8351 AEO 2000 7056 7141 7266 7363 7452 7578 7694 7815 7926 8028 8113 8217 8288

46

Table 6. Petroleum Net Imports, Projected vs. Actual Projected  

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

Petroleum Net Imports, Projected vs. Actual Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 AEO 1997 3099 3245 3497 3665 3825 3975 4084 4190 4285 4380 4464 4552 4617 4654 4709 4760 AEO 1998 3303 3391 3654 3713 3876 4053 4137 4298 4415 4556 4639 4750 4910 4992 5087 AEO 1999 3380 3442 3888 4022 4153 4238 4336 4441 4545 4652 4780 4888 4999 5073 AEO 2000 3599 3847 4036 4187 4320 4465 4579 4690 4780 4882 4968 5055 5113

47

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual" b. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per thousand cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.983258692,2.124739238,2.26534793,2.409252566,2.585728477,2.727400662,2.854942053,2.980927152,3.13861755,3.345819536,3.591100993,3.849544702,4.184279801,4.510016556,4.915074503,5.29147351,5.56022351,5.960471854 "AEO 1995",,1.891706924,1.998384058,1.952818035,2.064227053,2.152302174,2.400016103,2.569033816,2.897681159,3.160088567,3.556344605,3.869033816,4.267391304,4.561932367,4.848599034,5.157246377,5.413405797,5.660917874 "AEO 1996",,,1.630674532,1.740334763,1.862956911,1.9915856,2.10351261,2.194934146,2.287655669,2.378991658,2.476043002,2.589847464,2.717610782,2.836870306,2.967124845,3.117719429,3.294003735,3.485657428,3.728419409

48

Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance  

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

Final July 01, 2010 Final July 01, 2010 1 Attachment Implementation Procedures to Report Deferred, Actual, and Required Maintenance On Real Property 1. The following is the FY 2010 implementation procedures for the field offices/sites to determine and report deferred maintenance on real property as required by the Statement of Federal Financial Accounting Standards (SFFAS) No. 6, Accounting for Property, Plant, and Equipment (PP&E) and DOE Order 430.1B, Real Property Asset Management (RPAM). a. This document is intended to assist field offices/sites in consistently and accurately applying the appropriate methods to determine and report deferred maintenance estimates and reporting of annual required and actual maintenance costs. b. This reporting satisfies the Department's obligation to recognize and record deferred

49

Table 5. Domestic Crude Oil Production, Projected vs. Actual  

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

Domestic Crude Oil Production, Projected vs. Actual Domestic Crude Oil Production, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 2508 2373 2256 2161 2088 2022 1953 1891 1851 1825 1799 1781 1767 1759 1778 1789 1807 1862 AEO 1995 2402 2307 2205 2095 2037 1967 1953 1924 1916 1905 1894 1883 1887 1887 1920 1945 1967 AEO 1996 2387 2310 2248 2172 2113 2062 2011 1978 1953 1938 1916 1920 1927 1949 1971 1986 2000 AEO 1997 2362 2307 2245 2197 2143 2091 2055 2033 2015 2004 1997 1989 1982 1975 1967 1949 AEO 1998 2340 2332 2291 2252 2220 2192 2169 2145 2125 2104 2087 2068 2050 2033 2016 AEO 1999 2340 2309 2296 2265 2207 2171 2141 2122 2114 2092 2074 2057 2040 2025 AEO 2000 2193 2181 2122 2063 2016 1980 1957 1939 1920 1904 1894 1889 1889

50

Maps of Selected State Subdivisions  

Gasoline and Diesel Fuel Update (EIA)

Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map...

51

Nearly Euclidean Thurston maps  

E-Print Network (OSTI)

We introduce and study a class of Thurston maps from the 2-sphere to itself which we call nearly Euclidean Thurston (NET) maps. These are simple generalizations of Euclidean Thurston maps.

Cannon, James W; Parry, Walter R; Pilgrim, Kevin M

2012-01-01T23:59:59.000Z

52

Berkeley Lab Site Map  

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

Location Building - Map Location Building - Map Location Building - Map Location Advanced Light Source (Bldg. 6) - C3, C4 Bldg. 50 Auditorium - C2 Bldg. 66 Auditorium - D6...

53

Geothermal: Site Map  

Office of Scientific and Technical Information (OSTI)

GEOTHERMAL TECHNOLOGIES LEGACY COLLECTION - Site Map Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic Search About Publications...

54

TMS 2011: Maps  

Science Conference Proceedings (OSTI)

TMS 2011: Maps February 27 - March 3, 2011 • San Diego, California. Use these following maps and floor plans to help locate where you need to go.

55

EPRI Energy Efficiency CO2 Intensity Calculator, 2010  

Science Conference Proceedings (OSTI)

This spreadsheet calculator will allow members to quantify the impact of their energy efficiency savings on carbon-dioxide emissions, specific to their region and the end-uses for which the savings emanate. This user-friendly COintensity calculator is a Microsoft Excel application to help utility staff calculate the impact of their actual or planned energy efficiency programs on emissions of CO8322. The calculator will access a database of load dispatch simulation runs of the EPRI National Electric Syste...

2010-12-01T23:59:59.000Z

56

Wind Plant Capacity Credit Variations: A Comparison of Results Using Multiyear Actual and Simulated Wind-Speed Data  

DOE Green Energy (OSTI)

Although it is widely recognized that variations in annual wind energy capture can be significant, it is not clear how significant this effect is on accurately calculating the capacity credit of a wind plant. An important question is raised concerning whether one year of wind data is representative of long-term patterns. This paper calculates the range of capacity credit measures based on 13 years of actual wind-speed data. The results are compared to those obtained with synthetic data sets that are based on one year of data. Although the use of synthetic data sets is a considerable improvement over single-estimate techniques, this paper finds that the actual inter- annual variation in capacity credit is still understated by the synthetic data technique.

Milligan, Michael

1997-06-01T23:59:59.000Z

57

Steam Trap Testing and Evaluation: An Actual Plant Case Study  

E-Print Network (OSTI)

With rising steam costs and a high failure rate on the Joliet Plants standard steam trap, a testing and evaluation program was begun to find a steam trap that would work at Olin-Joliet. The basis was to conduct the test on the actual process equipment and that a minimum life be achieved. This paper deals with the history of the steam system/condensate systems, the setting up of the testing procedure, which traps were and were not tested and the results of the testing program to date.

Feldman, A. L.

1981-01-01T23:59:59.000Z

58

Allinea MAP at NERSC  

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

MAP MAP MAP MAP from Allinea Software is a parallel profiler with a simple graphical user interface. It is installed on Hopper, Edison and Carver. Note that the performance of the X Windows-based MAP Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User Interface. MAP can be run with up to 512 processors, to profile serial, OpenMP and MPI codes. The Allinea MAP web page and 'Allinea DDT and MAP User Guide' (available as $ALLINEA_TOOLS_DOCDIR/userguide.pdf after loading an allineatools module) are good resources for learning more about some of the advanced MAP features. Loading the Allinea Tools Module To use MAP, first load the 'allineatools' module to set the correct

59

Table 16. Total Energy Consumption, Projected vs. Actual  

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

Total Energy Consumption, Projected vs. Actual" Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO 1996",,,90.6,91.26,92.54,93.46,94.27,95.07,95.94,96.92,97.98,99.2,100.38,101.4,102.1,103.1,103.8,104.69,105.5 "AEO 1997",,,,92.64,93.58,95.13,96.59,97.85,98.79,99.9,101.2,102.4,103.4,104.7,105.8,106.6,107.2,107.9,108.6 "AEO 1998",,,,,94.68,96.71,98.61027527,99.81855774,101.254303,102.3907928,103.3935776,104.453476,105.8160553,107.2683716,108.5873566,109.8798981,111.0723877,112.166893,113.0926208

60

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual" a. Natural Gas Wellhead Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per thousand cubic feet in ""dollar year"" specific to each AEO)" ,"AEO Dollar Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1992,1.9399,2.029,2.1099,2.1899,2.29,2.35,2.39,2.42,2.47,2.55,2.65,2.75,2.89,3.01,3.17,3.3,3.35,3.47 "AEO 1995",1993,,1.85,1.899,1.81,1.87,1.8999,2.06,2.14,2.34,2.47,2.69,2.83,3.02,3.12,3.21,3.3,3.35,3.39 "AEO 1996",1994,,,1.597672343,1.665446997,1.74129355,1.815978527,1.866241336,1.892736554,1.913619637,1.928664207,1.943216205,1.964540124,1.988652706,2.003382921,2.024799585,2.056392431,2.099974155,2.14731431,2.218094587

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


61

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

62

Table 4. Total Petroleum Consumption, Projected vs. Actual  

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

Total Petroleum Consumption, Projected vs. Actual" Total Petroleum Consumption, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",6449.55,6566.35,6643,6723.3,6810.9,6880.25,6956.9,7059.1,7124.8,7205.1,7296.35,7376.65,7446,7522.65,7595.65,7665,7712.45,7774.5 "AEO 1995",,6398.45,6544.45,6555.4,6675.85,6745.2,6821.85,6887.55,6964.2,7048.15,7146.7,7245.25,7336.5,7405.85,7471.55,7537.25,7581.05,7621.2 "AEO 1996",,,6489.7,6526.2,6606.5,6708.7,6781.7,6854.7,6942.3,7008,7084.65,7175.9,7259.85,7329.2,7383.95,7449.65,7500.75,7544.55,7581.05 "AEO 1997",,,,6635.7,6694.1,6825.5,6953.25,7073.7,7183.2,7267.15,7369.35,7460.6,7548.2,7643.1,7730.7,7792.75,7832.9,7884,7924.15

63

Table 9. Natural Gas Production, Projected vs. Actual  

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

Natural Gas Production, Projected vs. Actual" Natural Gas Production, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",17.71,17.68,17.84,18.12,18.25,18.43,18.58,18.93,19.28,19.51,19.8,19.92,20.13,20.18,20.38,20.35,20.16,20.19 "AEO 1995",,18.28,17.98,17.92,18.21,18.63,18.92,19.08,19.2,19.36,19.52,19.75,19.94,20.17,20.28,20.6,20.59,20.88 "AEO 1996",,,18.9,19.15,19.52,19.59,19.59,19.65,19.73,19.97,20.36,20.82,21.25,21.37,21.68,22.11,22.47,22.83,23.36 "AEO 1997",,,,19.1,19.7,20.17,20.32,20.54,20.77,21.26,21.9,22.31,22.66,22.93,23.38,23.68,23.99,24.25,24.65 "AEO 1998",,,,,18.85,19.06,20.34936142,20.27427673,20.60257721,20.94442177,21.44076347,21.80969238,22.25416183,22.65365219,23.176651,23.74545097,24.22989273,24.70069313,24.96691322

64

Table 7a. Natural Gas Wellhead Prices, Projected vs. Actual  

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

a. Natural Gas Wellhead Prices, Projected vs. Actual a. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per thousand cubic feet in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.94 2.03 2.11 2.19 2.29 2.35 2.39 2.42 2.47 2.55 2.65 2.75 2.89 3.01 3.17 3.30 3.35 3.47 AEO 1995 1993 1.85 1.90 1.81 1.87 1.90 2.06 2.14 2.34 2.47 2.69 2.83 3.02 3.12 3.21 3.30 3.35 3.39 AEO 1996 1994 1.60 1.67 1.74 1.82 1.87 1.89 1.91 1.93 1.94 1.96 1.99 2.00 2.02 2.06 2.10 2.15 2.22

65

Table 10. Natural Gas Net Imports, Projected vs. Actual  

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

Natural Gas Net Imports, Projected vs. Actual" Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",2.02,2.4,2.66,2.74,2.81,2.85,2.89,2.93,2.95,2.97,3,3.16,3.31,3.5,3.57,3.63,3.74,3.85 "AEO 1995",,2.46,2.54,2.8,2.87,2.87,2.89,2.9,2.9,2.92,2.95,2.97,3,3.03,3.19,3.35,3.51,3.6 "AEO 1996",,,2.56,2.75,2.85,2.88,2.93,2.98,3.02,3.06,3.07,3.09,3.12,3.17,3.23,3.29,3.37,3.46,3.56 "AEO 1997",,,,2.82,2.96,3.16,3.43,3.46,3.5,3.53,3.58,3.64,3.69,3.74,3.78,3.83,3.87,3.92,3.97 "AEO 1998",,,,,2.95,3.19,3.531808376,3.842532873,3.869043112,3.894513845,3.935930967,3.976293564,4.021911621,4.062207222,4.107616425,4.164502144,4.221304417,4.277039051,4.339964867

66

Table 12. Total Coal Consumption, Projected vs. Actual Projected  

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

Total Coal Consumption, Projected vs. Actual Total Coal Consumption, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 920 928 933 938 943 948 953 958 962 967 978 990 987 992 1006 1035 1061 1079 AEO 1995 935 940 941 947 948 951 954 958 963 971 984 992 996 1002 1013 1025 1039 AEO 1996 937 942 954 962 983 990 1004 1017 1027 1033 1046 1067 1070 1071 1074 1082 1087 AEO 1997 948 970 987 1003 1017 1020 1025 1034 1041 1054 1075 1086 1092 1092 1099 1104 AEO 1998 1009 1051 1044 1058 1087 1084 1090 1097 1112 1130 1142 1148 1160 1162 1180 AEO 1999 1040 1075 1092 1109 1113 1118 1120 1120 1133 1139 1150 1155 1156 1173 AEO 2000 1053 1086 1103 1124 1142 1164 1175 1184 1189 1194 1199 1195 1200 AEO 2001 1078 1112 1135 1153 1165 1183 1191 1220 1228 1228 1235 1240

67

Table 22. Total Carbon Dioxide Emissions, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Total Carbon Dioxide Emissions, Projected vs. Actual Total Carbon Dioxide Emissions, Projected vs. Actual (million metric tons) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 AEO 1983 AEO 1984 AEO 1985 AEO 1986 AEO 1987 AEO 1989* AEO 1990 AEO 1991 AEO 1992 AEO 1993 5009 5053 5130 5207 5269 5335 5401 5449 5504 5562 5621 5672 5724 5771 5819 5867 5918 5969 AEO 1994 5060 5130 5185 5240 5287 5335 5379 5438 5482 5529 5599 5658 5694 5738 5797 5874 5925 AEO 1995 5137 5174 5188 5262 5309 5361 5394 5441.3 5489.0 5551.3 5621.0 5679.7 5727.3 5775.0 5841.0 5888.7 AEO 1996 5182 5224 5295 5355 5417 5464 5525 5589 5660 5735 5812 5879 5925 5981 6030 AEO 1997 5295 5381 5491 5586 5658 5715 5781 5863 5934 6009 6106 6184 6236 6268 AEO 1998 5474 5621 5711 5784 5893 5957 6026 6098 6192 6292 6379 6465 6542 AEO 1999 5522 5689 5810 5913 5976 6036 6084 6152 6244 6325 6418 6493 AEO 2000

68

Table 16. Total Electricity Sales, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Electricity Sales, Projected vs. Actual Electricity Sales, Projected vs. Actual (billion kilowatt-hours) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2364 2454 2534 2626 2708 2811 AEO 1983 2318 2395 2476 2565 2650 2739 3153 AEO 1984 2321 2376 2461 2551 2637 2738 3182 AEO 1985 2317 2360 2427 2491 2570 2651 2730 2808 2879 2949 3026 AEO 1986 2363 2416 2479 2533 2608 2706 2798 2883 2966 3048 3116 3185 3255 3324 3397 AEO 1987 2460 2494 2555 2622 2683 2748 2823 2902 2977 3363 AEO 1989* 2556 2619 2689 2760 2835 2917 2994 3072 3156 3236 3313 3394 3473 AEO 1990 2612 2689 3083 3488.0 3870.0 AEO 1991 2700 2762 2806 2855 2904 2959 3022 3088 3151 3214 3282 3355 3427 3496 3563 3632 3704 3776 3846 3916 AEO 1992 2746 2845 2858 2913 2975 3030 3087 3146 3209 3276 3345 3415 3483 3552 3625 3699 3774 3847 3921 AEO 1993 2803 2840 2893 2946 2998 3052 3104 3157 3214 3271 3327

69

Table 5. Domestic Crude Oil Production, Projected vs. Actual  

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

Domestic Crude Oil Production, Projected vs. Actual" Domestic Crude Oil Production, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",2507.55,2372.5,2255.7,2160.8,2087.8,2022.1,1952.75,1890.7,1850.55,1825,1799.45,1781.2,1766.6,1759.3,1777.55,1788.5,1806.75,1861.5 "AEO 1995",,2401.7,2306.8,2204.6,2095.1,2036.7,1967.35,1952.75,1923.55,1916.25,1905.3,1894.35,1883.4,1887.05,1887.05,1919.9,1945.45,1967.35 "AEO 1996",,,2387.1,2310.45,2248.4,2171.75,2113.35,2062.25,2011.15,1978.3,1952.75,1938.15,1916.25,1919.9,1927.2,1949.1,1971,1985.6,2000.2 "AEO 1997",,,,2361.55,2306.8,2244.75,2197.3,2142.55,2091.45,2054.95,2033.05,2014.8,2003.85,1996.55,1989.25,1981.95,1974.65,1967.35,1949.1

70

Direct quantum communication without actual transmission of the message qubits  

E-Print Network (OSTI)

Recently an orthogonal state based protocol of direct quantum communication without actual transmission of particles is proposed by Salih \\emph{et al.}{[}Phys. Rev. Lett. \\textbf{110} (2013) 170502{]} using chained quantum Zeno effect. As the no-transmission of particle claim is criticized by Vaidman {[}arXiv:1304.6689 (2013){]}, the condition (claim) of Salih \\emph{et al.} is weaken here to the extent that transmission of particles is allowed, but transmission of the message qubits (the qubits on which the secret information is encoded) is not allowed. Remaining within this weaker condition it is shown that there exists a large class of quantum states, that can be used to implement an orthogonal state based protocol of secure direct quantum communication using entanglement swapping, where actual transmission of the message qubits is not required. The security of the protocol originates from monogamy of entanglement. As the protocol can be implemented without using conjugate coding its security is independent of non-commutativity.

Chitra Shukla; Anirban Pathak

2013-07-23T23:59:59.000Z

71

Emergency Exit Maps | Stanford Synchrotron Radiation Lightsource  

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

Emergency Exit Maps SSRL Exit Maps Exit map 219 exit map trailer 274 exit map 450 trailers exit map trailer 271 exit map trailer 270 exit map trailer 294 exit maps 118 & 117 exit...

72

Nonlinear excitations in DNA: Aperiodic models vs actual genome sequences  

E-Print Network (OSTI)

We study the effects of the sequence on the propagation of nonlinear excitations in simple models of DNA in which we incorporate actual DNA sequences obtained from human genome data. We show that kink propagation requires forces over a certain threshold, a phenomenon already found for aperiodic sequences [F. Dom\\'\\i nguez-Adame {\\em et al.}, Phys. Rev. E {\\bf 52}, 2183 (1995)]. For forces below threshold, the final stop positions are highly dependent on the specific sequence. The results of our model are consistent with the stick-slip dynamics of the unzipping process observed in experiments. We also show that the effective potential, a collective coordinate formalism introduced by Salerno and Kivshar [Phys. Lett. A {\\bf 193}, 263 (1994)] is a useful tool to identify key regions in DNA that control the dynamical behavior of large segments. Additionally, our results lead to further insights in the phenomenology observed in aperiodic systems.

Sara Cuenda; Angel Sanchez

2004-07-02T23:59:59.000Z

73

Exposure of Ceramics and Ceramic Matrix Composites in Simulated and Actual Combustor Environments  

DOE Green Energy (OSTI)

A high-temperature, high-pressure, tube furnace has been used to evaluate the long term stability of different monolithic ceramic and ceramic matrix composite materials in a simulated combustor environment. All of the tests have been run at 150 psia, 1204 degrees C, and 15% steam in incremental 500 h runs. The major advantage of this system is the high sample throughput; >20 samples can be exposed in each tube at the same time under similar exposure conditions. Microstructural evaluations of the samples were conducted after each 500 h exposure to characterize the extent of surface damage, to calculate surface recession rates, and to determine degradation mechanisms for the different materials. The validity of this exposure rig for simulating real combustor environments was established by comparing materials exposed in the test rig and combustor liner materials exposed for similar times in an actual gas turbine combustor under commercial operating conditions.

Brentnall, W.D.; Ferber, M.K.; Keiser, j.R.; Miriyala, N.; More, K.L.; Price, J.R.; Tortorelli, P.F.; Walker, L.R.

1999-06-07T23:59:59.000Z

74

Parabolic-like maps  

E-Print Network (OSTI)

In this paper we introduce the notion of parabolic-like mapping, which is an object similar to a polynomial-like mapping, but with a parabolic external class, i.e. an external map with a parabolic fixed point. We prove a straightening theorem for parabolic-like maps, which states that any parabolic-like map of degree 2 is hybrid conjugate to a member of the family Per_1(1), and this member is unique (up to holomorphic conjugacy) if the filled Julia set of the parabolic-like map is connected.

Lomonaco, Luciana Luna Anna

2011-01-01T23:59:59.000Z

75

Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 AEO 1997 11.1 10.9 11.1 11.1 11.2 11.2 11.2 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.9 12.0 AEO 1998 10.7 11.1 11.2 11.4 11.5 11.5 11.6 11.7 11.8 11.9 11.9 12.1 12.1 12.2 12.3 AEO 1999 10.5 11.1 11.3 11.3 11.4 11.5 11.5 11.6 11.6 11.7 11.8 11.9 12.0 12.1 AEO 2000 10.7 10.9 11.0 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 12.0

76

Table 2. Real Gross Domestic Product, Projected vs. Actual  

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

Real Gross Domestic Product, Projected vs. Actual Real Gross Domestic Product, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 3.1% 3.2% 2.9% 2.8% 2.7% 2.7% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% AEO 1995 3.7% 2.8% 2.5% 2.7% 2.7% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% AEO 1996 2.6% 2.2% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% 2.2% 2.2% 1.6% AEO 1997 2.1% 1.9% 2.0% 2.2% 2.3% 2.3% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.1% 2.1% 1.5% AEO 1998 3.4% 2.9% 2.6% 2.5% 2.4% 2.4% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.2% 1.8% AEO 1999 3.4% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.4% 2.4% 2.4% 2.4% 2.4% 2.4% 1.8% AEO 2000 3.8% 2.9% 2.7% 2.6% 2.6% 2.6% 2.6% 2.6% 2.5% 2.5%

77

Table 7. Petroleum Net Imports, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Net Imports, Projected vs. Actual Petroleum Net Imports, Projected vs. Actual (million barrels per day) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 7.58 7.45 7.12 6.82 6.66 7.09 AEO 1983 5.15 5.44 5.73 5.79 5.72 5.95 6.96 AEO 1984 4.85 5.11 5.53 5.95 6.31 6.59 8.65 AEO 1985 4.17 4.38 4.73 4.93 5.36 5.72 6.23 6.66 7.14 7.39 7.74 AEO 1986 5.15 5.38 5.46 5.92 6.46 7.09 7.50 7.78 7.96 8.20 8.47 8.74 9.04 9.57 9.76 AEO 1987 5.81 6.04 6.81 7.28 7.82 8.34 8.71 8.94 8.98 10.01 AEO 1989* 6.28 6.84 7.49 7.96 8.53 8.83 9.04 9.28 9.60 9.64 9.75 10.02 10.20 AEO 1990 7.20 7.61 9.13 9.95 11.02 AEO 1991 7.28 7.25 7.34 7.48 7.72 8.10 8.57 9.09 9.61 10.07 10.51 11.00 11.44 11.72 11.86 12.11 12.30 12.49 12.71 12.91 AEO 1992 6.86 7.42 7.88 8.16 8.55 8.80 9.06 9.32 9.50 9.80 10.17 10.35 10.56 10.61 10.85 11.00 11.15 11.29 11.50 AEO 1993 7.25 8.01 8.49 9.06

78

Table 7b. Natural Gas Wellhead Prices, Projected vs. Actual  

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

b. Natural Gas Wellhead Prices, Projected vs. Actual b. Natural Gas Wellhead Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per thousand cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1.98 2.12 2.27 2.41 2.59 2.73 2.85 2.98 3.14 3.35 3.59 3.85 4.18 4.51 4.92 5.29 5.56 5.96 AEO 1995 1.89 2.00 1.95 2.06 2.15 2.40 2.57 2.90 3.16 3.56 3.87 4.27 4.56 4.85 5.16 5.41 5.66 AEO 1996 1.63 1.74 1.86 1.99 2.10 2.19 2.29 2.38 2.48 2.59 2.72 2.84 2.97 3.12 3.29 3.49 3.73 AEO 1997 2.03 1.82 1.90 1.99 2.06 2.13 2.21 2.32 2.43 2.54 2.65 2.77 2.88 3.00 3.11 3.24 AEO 1998 2.30 2.20 2.26 2.31 2.38 2.44 2.52 2.60 2.69 2.79 2.93 3.06 3.20 3.35 3.48 AEO 1999 1.98 2.15 2.20 2.32 2.43 2.53 2.63 2.76 2.90 3.02 3.12 3.23 3.35 3.47

79

Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 AEO 1997 24.7 25.3 25.9 26.4 27.0 27.5 28.0 28.5 28.9 29.4 29.8 30.3 30.6 30.9 31.1 31.3 AEO 1998 25.3 25.9 26.7 27.1 27.7 28.3 28.8 29.4 30.0 30.6 31.2 31.7 32.3 32.8 33.1 AEO 1999 25.4 26.0 27.0 27.6 28.2 28.8 29.4 30.0 30.6 31.2 31.7 32.2 32.8 33.1 AEO 2000 26.2 26.8 27.4 28.0 28.5 29.1 29.7 30.3 30.9 31.4 31.9 32.5 32.9

80

Table 22. Energy Intensity, Projected vs. Actual Projected  

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

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / real GDP in billion 2005 chained dollars) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 11.2 11.1 11.0 10.8 10.7 10.5 10.4 10.3 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 AEO 1995 10.9 10.8 10.6 10.4 10.3 10.1 10.0 9.9 9.8 9.6 9.5 9.4 9.3 9.2 9.1 9.1 9.0 AEO 1996 10.7 10.6 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1997 10.3 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1998 10.1 10.1 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.5 9.4 9.3 9.2 9.1 9.0 AEO 1999 9.6 9.7 9.7 9.7 9.6 9.4 9.3 9.1 9.0 8.9 8.8 8.7 8.6 8.5 AEO 2000 9.4 9.4 9.3 9.2 9.1 9.0 8.9 8.8 8.7 8.7 8.6 8.5 8.4 AEO 2001 8.7 8.6 8.5 8.4 8.3 8.1 8.0 7.9 7.8 7.6 7.5 7.4

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81

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

82

Table 11. Natural Gas Net Imports, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Net Imports, Projected vs. Actual Natural Gas Net Imports, Projected vs. Actual (trillion cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 1.19 1.19 1.19 1.19 1.19 1.19 AEO 1983 1.08 1.16 1.23 1.23 1.23 1.23 1.23 AEO 1984 0.99 1.05 1.16 1.27 1.43 1.57 2.11 AEO 1985 0.94 1.00 1.19 1.45 1.58 1.86 1.94 2.06 2.17 2.32 2.44 AEO 1986 0.74 0.88 0.62 1.03 1.05 1.27 1.39 1.47 1.66 1.79 1.96 2.17 2.38 2.42 2.43 AEO 1987 0.84 0.89 1.07 1.16 1.26 1.36 1.46 1.65 1.75 2.50 AEO 1989* 1.15 1.32 1.44 1.52 1.61 1.70 1.79 1.87 1.98 2.06 2.15 2.23 2.31 AEO 1990 1.26 1.43 2.07 2.68 2.95 AEO 1991 1.36 1.53 1.70 1.82 2.11 2.30 2.33 2.36 2.42 2.49 2.56 2.70 2.75 2.83 2.90 2.95 3.02 3.09 3.17 3.19 AEO 1992 1.48 1.62 1.88 2.08 2.25 2.41 2.56 2.68 2.70 2.72 2.76 2.84 2.92 3.05 3.10 3.20 3.25 3.30 3.30 AEO 1993 1.79 2.08 2.35 2.49 2.61 2.74 2.89 2.95 3.00 3.05 3.10

83

Table 8. Total Natural Gas Consumption, Projected vs. Actual  

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

Total Natural Gas Consumption, Projected vs. Actual Total Natural Gas Consumption, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 19.87 20.21 20.64 20.99 21.20 21.42 21.60 21.99 22.37 22.63 22.95 23.22 23.58 23.82 24.09 24.13 24.02 24.14 AEO 1995 20.82 20.66 20.85 21.21 21.65 21.95 22.12 22.25 22.43 22.62 22.87 23.08 23.36 23.61 24.08 24.23 24.59 AEO 1996 21.32 21.64 22.11 22.21 22.26 22.34 22.46 22.74 23.14 23.63 24.08 24.25 24.63 25.11 25.56 26.00 26.63 AEO 1997 22.15 22.75 23.24 23.64 23.86 24.13 24.65 25.34 25.82 26.22 26.52 27.00 27.35 27.70 28.01 28.47 AEO 1998 21.84 23.03 23.84 24.08 24.44 24.81 25.33 25.72 26.22 26.65 27.22 27.84 28.35 28.84 29.17 AEO 1999 21.35 22.36 22.54 23.18 23.65 24.17 24.57 25.19 25.77 26.41 26.92 27.42 28.02 28.50

84

Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual  

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

Total Delivered Commercial Energy Consumption, Projected vs. Actual Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9 8.0 8.1 8.1 8.2 AEO 1998 7.5 7.6 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.3 8.4 8.4 8.5 8.6 8.7 AEO 1999 7.4 7.8 7.9 8.0 8.1 8.2 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 AEO 2000 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.5 8.7 8.7 8.8 AEO 2001 7.8 8.1 8.3 8.6 8.7 8.9 9.0 9.2 9.3 9.5 9.6 9.7 AEO 2002 8.2 8.4 8.7 8.9 9.0 9.2 9.4 9.6 9.7 9.9 10.1

85

Table 21. Total Transportation Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Transportation Energy Consumption, Projected vs. Actual Transportation Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 18.6 18.2 17.7 17.3 17.0 16.9 AEO 1983 19.8 20.1 20.4 20.4 20.5 20.5 20.7 AEO 1984 19.2 19.0 19.0 19.0 19.1 19.2 20.1 AEO 1985 20.0 19.8 20.0 20.0 20.0 20.1 20.3 AEO 1986 20.5 20.8 20.8 20.6 20.7 20.3 21.0 AEO 1987 21.3 21.5 21.6 21.7 21.8 22.0 22.0 22.0 21.9 22.3 AEO 1989* 21.8 22.2 22.4 22.4 22.5 22.5 22.5 22.5 22.6 22.7 22.8 23.0 23.2 AEO 1990 22.0 22.4 23.2 24.3 25.5 AEO 1991 22.1 21.6 21.9 22.1 22.3 22.5 22.8 23.1 23.4 23.8 24.1 24.5 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 AEO 1992 21.7 22.0 22.5 22.9 23.2 23.4 23.6 23.9 24.1 24.4 24.8 25.1 25.4 25.7 26.0 26.3 26.6 26.9 27.1 AEO 1993 22.5 22.8 23.4 23.9 24.3 24.7 25.1 25.4 25.7 26.1 26.5 26.8 27.2 27.6 27.9 28.1 28.4 28.7 AEO 1994 23.6

86

Table 10. Natural Gas Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Production, Projected vs. Actual Production, Projected vs. Actual (trillion cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 14.74 14.26 14.33 14.89 15.39 15.88 AEO 1983 16.48 16.27 16.20 16.31 16.27 16.29 14.89 AEO 1984 17.48 17.10 17.44 17.58 17.52 17.32 16.39 AEO 1985 16.95 17.08 17.11 17.29 17.40 17.33 17.32 17.27 17.05 16.80 16.50 AEO 1986 16.30 16.27 17.15 16.68 16.90 16.97 16.87 16.93 16.86 16.62 16.40 16.33 16.57 16.23 16.12 AEO 1987 16.21 16.09 16.38 16.32 16.30 16.30 16.44 16.62 16.81 17.39 AEO 1989* 16.71 16.71 16.94 17.01 16.83 17.09 17.35 17.54 17.67 17.98 18.20 18.25 18.49 AEO 1990 16.91 17.25 18.84 20.58 20.24 AEO 1991 17.40 17.48 18.11 18.22 18.15 18.22 18.39 18.82 19.03 19.28 19.62 19.89 20.13 20.07 19.95 19.82 19.64 19.50 19.30 19.08 AEO 1992 17.43 17.69 17.95 18.00 18.29 18.27 18.51 18.75 18.97

87

Table 17. Total Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption, Projected vs. Actual Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 79.1 79.6 79.9 80.8 82.1 83.3 AEO 1983 78.0 79.5 81.0 82.4 83.9 84.6 89.0 AEO 1984 78.5 79.4 81.2 83.1 85.1 86.4 93.0 AEO 1985 77.6 78.5 79.8 81.2 82.7 83.3 84.2 85.0 85.7 86.3 87.2 AEO 1986 77.0 78.8 79.8 80.7 81.5 82.9 83.8 84.6 85.3 86.0 86.6 87.4 88.3 89.4 90.2 AEO 1987 78.9 80.0 82.0 82.8 83.9 85.1 86.2 87.1 87.9 92.5 AEO 1989* 82.2 83.8 84.5 85.4 86.2 87.1 87.8 88.7 89.5 90.4 91.4 92.4 93.5 AEO 1990 84.2 85.4 91.9 97.4 102.8 AEO 1991 84.4 85.0 86.0 87.0 87.9 89.1 90.4 91.8 93.1 94.3 95.6 97.1 98.4 99.4 100.3 101.4 102.5 103.6 104.7 105.8 AEO 1992 84.7 87.0 88.0 89.2 90.5 91.4 92.4 93.4 94.5 95.6 96.9 98.0 99.0 100.0 101.2 102.2 103.2 104.3 105.2 AEO 1993 87.0 88.3 89.8 91.4 92.7 94.0 95.3 96.3 97.5 98.6

88

Table 3. Gross Domestic Product, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Gross Domestic Product, Projected vs. Actual Gross Domestic Product, Projected vs. Actual (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.3% 3.8% 3.6% 3.3% 3.2% 3.2% AEO 1983 3.3% 3.3% 3.4% 3.3% 3.2% 3.1% 2.7% AEO 1984 2.7% 2.4% 2.9% 3.1% 3.1% 3.1% 2.7% AEO 1985 2.3% 2.2% 2.7% 2.8% 2.9% 3.0% 3.0% 3.0% 2.9% 2.8% 2.8% AEO 1986 2.6% 2.5% 2.7% 2.5% 2.5% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% AEO 1987 2.7% 2.3% 2.4% 2.5% 2.5% 2.6% 2.6% 2.5% 2.4% 2.3% AEO 1989* 4.0% 3.4% 3.1% 3.0% 2.9% 2.8% 2.7% 2.7% 2.7% 2.6% 2.6% 2.6% 2.6% AEO 1990 2.9% 2.3% 2.5% 2.5% 2.4% AEO 1991 0.8% 1.0% 1.7% 1.8% 1.8% 1.9% 2.0% 2.1% 2.1% 2.1% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% AEO 1992 -0.1% 1.6% 2.0% 2.2% 2.3% 2.2% 2.2% 2.2% 2.2% 2.3% 2.3% 2.3% 2.3% 2.2%

89

Table 20. Total Industrial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Industrial Energy Consumption, Projected vs. Actual Industrial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 24.0 24.1 24.4 24.9 25.5 26.1 AEO 1983 23.2 23.6 23.9 24.4 24.9 25.0 25.4 AEO 1984 24.1 24.5 25.4 25.5 27.1 27.4 28.7 AEO 1985 23.2 23.6 23.9 24.4 24.8 24.8 24.4 AEO 1986 22.2 22.8 23.1 23.4 23.4 23.6 22.8 AEO 1987 22.4 22.8 23.7 24.0 24.3 24.6 24.6 24.7 24.9 22.6 AEO 1989* 23.6 24.0 24.1 24.3 24.5 24.3 24.3 24.5 24.6 24.8 24.9 24.4 24.1 AEO 1990 25.0 25.4 27.1 27.3 28.6 AEO 1991 24.6 24.5 24.8 24.8 25.0 25.3 25.7 26.2 26.5 26.1 25.9 26.2 26.4 26.6 26.7 27.0 27.2 27.4 27.7 28.0 AEO 1992 24.6 25.3 25.4 25.6 26.1 26.3 26.5 26.5 26.0 25.6 25.8 26.0 26.1 26.2 26.4 26.7 26.9 27.2 27.3 AEO 1993 25.5 25.9 26.2 26.8 27.1 27.5 27.8 27.4 27.1 27.4 27.6 27.8 28.0 28.2 28.4 28.7 28.9 29.1 AEO 1994 25.4 25.9

90

Table 8. Natural Gas Wellhead Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Wellhead Prices, Projected vs. Actual Natural Gas Wellhead Prices, Projected vs. Actual (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 9.2 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 7.29 8.09 8.94 9.62 10.27 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 6.37 6.89 7.50 8.15 9.05 AEO 1993 1.85 1.94 2.09 2.30

91

Table 16. Total Energy Consumption, Projected vs. Actual Projected  

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

Total Energy Consumption, Projected vs. Actual Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 88.0 89.5 90.7 91.7 92.7 93.6 94.6 95.7 96.7 97.7 98.9 100.0 100.8 101.7 102.7 103.6 104.3 105.2 AEO 1995 89.2 90.0 90.6 91.9 93.0 93.8 94.6 95.3 96.2 97.2 98.4 99.4 100.3 101.2 102.1 102.9 103.9 AEO 1996 90.6 91.3 92.5 93.5 94.3 95.1 95.9 96.9 98.0 99.2 100.4 101.4 102.1 103.1 103.8 104.7 105.5 AEO 1997 92.6 93.6 95.1 96.6 97.9 98.8 99.9 101.2 102.4 103.4 104.7 105.8 106.6 107.2 107.9 108.6 AEO 1998 94.7 96.7 98.6 99.8 101.3 102.4 103.4 104.5 105.8 107.3 108.6 109.9 111.1 112.2 113.1 AEO 1999 94.6 97.0 99.2 100.9 102.0 102.8 103.6 104.7 106.0 107.2 108.5 109.7 110.8 111.8

92

Table 9. Natural Gas Production, Projected vs. Actual Projected  

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

Natural Gas Production, Projected vs. Actual Natural Gas Production, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 17.71 17.68 17.84 18.12 18.25 18.43 18.58 18.93 19.28 19.51 19.80 19.92 20.13 20.18 20.38 20.35 20.16 20.19 AEO 1995 18.28 17.98 17.92 18.21 18.63 18.92 19.08 19.20 19.36 19.52 19.75 19.94 20.17 20.28 20.60 20.59 20.88 AEO 1996 18.90 19.15 19.52 19.59 19.59 19.65 19.73 19.97 20.36 20.82 21.25 21.37 21.68 22.11 22.47 22.83 23.36 AEO 1997 19.10 19.70 20.17 20.32 20.54 20.77 21.26 21.90 22.31 22.66 22.93 23.38 23.68 23.99 24.25 24.65 AEO 1998 18.85 19.06 20.35 20.27 20.60 20.94 21.44 21.81 22.25 22.65 23.18 23.75 24.23 24.70 24.97 AEO 1999 18.80 19.13 19.28 19.82 20.23 20.77 21.05 21.57 21.98 22.47 22.85 23.26 23.77 24.15

93

Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual  

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

Total Delivered Industrial Energy Consumption, Projected vs. Actual Total Delivered Industrial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 25.4 25.9 26.3 26.7 27.0 27.1 26.8 26.6 26.9 27.2 27.7 28.1 28.3 28.7 29.1 29.4 29.7 30.0 AEO 1995 26.2 26.3 26.5 27.0 27.3 26.9 26.6 26.8 27.1 27.5 27.9 28.2 28.4 28.7 29.0 29.3 29.6 AEO 1996 26.5 26.6 27.3 27.5 26.9 26.5 26.7 26.9 27.2 27.6 27.9 28.2 28.3 28.5 28.7 28.9 29.2 AEO 1997 26.2 26.5 26.9 26.7 26.6 26.8 27.1 27.4 27.8 28.0 28.4 28.7 28.9 29.0 29.2 29.4 AEO 1998 27.2 27.5 27.2 26.9 27.1 27.5 27.7 27.9 28.3 28.7 29.0 29.3 29.7 29.9 30.1 AEO 1999 26.7 26.4 26.4 26.8 27.1 27.3 27.5 27.9 28.3 28.6 28.9 29.2 29.5 29.7 AEO 2000 25.8 25.5 25.7 26.0 26.5 26.9 27.4 27.8 28.1 28.3 28.5 28.8 29.0

94

Table 18. Total Residential Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Residential Energy Consumption, Projected vs. Actual Residential Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 10.1 10.1 10.1 10.1 10.2 10.2 AEO 1983 9.8 9.9 10.0 10.1 10.2 10.1 10.0 AEO 1984 9.9 9.9 10.0 10.2 10.3 10.3 10.5 AEO 1985 9.8 10.0 10.1 10.3 10.6 10.6 10.9 AEO 1986 9.6 9.8 10.0 10.3 10.4 10.8 10.9 AEO 1987 9.9 10.2 10.3 10.3 10.4 10.5 10.5 10.5 10.5 10.6 AEO 1989* 10.3 10.5 10.4 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 AEO 1990 10.4 10.7 10.8 11.0 11.3 AEO 1991 10.2 10.7 10.7 10.8 10.8 10.8 10.9 10.9 10.9 11.0 11.0 11.0 11.1 11.2 11.2 11.3 11.4 11.4 11.5 11.6 AEO 1992 10.6 11.1 11.1 11.1 11.1 11.1 11.2 11.2 11.3 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.8 11.9 12.0 AEO 1993 10.7 10.9 11.0 11.0 11.0 11.1 11.1 11.1 11.1 11.2 11.2 11.2 11.2 11.3 11.3 11.4 11.4 11.5 AEO 1994 10.3 10.4 10.4 10.4

95

Table 6. Domestic Crude Oil Production, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Domestic Crude Oil Production, Projected vs. Actual Domestic Crude Oil Production, Projected vs. Actual (million barrels per day) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 8.79 8.85 8.84 8.80 8.66 8.21 AEO 1983 8.67 8.71 8.66 8.72 8.80 8.63 8.11 AEO 1984 8.86 8.70 8.59 8.45 8.28 8.25 7.19 AEO 1985 8.92 8.96 9.01 8.78 8.38 8.05 7.64 7.27 6.89 6.68 6.53 AEO 1986 8.80 8.63 8.30 7.90 7.43 6.95 6.60 6.36 6.20 5.99 5.80 5.66 5.54 5.45 5.43 AEO 1987 8.31 8.18 8.00 7.63 7.34 7.09 6.86 6.64 6.54 6.03 AEO 1989* 8.18 7.97 7.64 7.25 6.87 6.59 6.37 6.17 6.05 6.00 5.94 5.90 5.89 AEO 1990 7.67 7.37 6.40 5.86 5.35 AEO 1991 7.23 6.98 7.10 7.11 7.01 6.79 6.48 6.22 5.92 5.64 5.36 5.11 4.90 4.73 4.62 4.59 4.58 4.53 4.46 4.42 AEO 1992 7.37 7.17 6.99 6.89 6.68 6.45 6.28 6.16 6.06 5.91 5.79 5.71 5.66 5.64 5.62 5.63 5.62 5.55 5.52 AEO 1993 7.20 6.94 6.79 6.52 6.22 6.00 5.84 5.72

96

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps  

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

the Solar Maps Development - How the Maps Were Made page. Thumbnail image of the national solar photovoltaics (PV) resource potential in the United States map. Thumbnail image of...

97

COBE Sky Map  

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

COBE sky map COBE sky map This map of the ancient sky shows the minute variations in the microwave background discovered by the team led by Lawrence Berkeley Laboratory astrophysicist George Smoot. As seen in the map, vast regions of space have minute variations in temperature. Over billions of years, gravity magnified these small differences into the clusters of galaxies we observe today. Displayed horizontally across the middle of the map is the Milky Way galaxy. The image, a 360-degree map of the whole sky, shows the relic radiation from the Big Bang. The map was derived from one year of data taken by the Differential Microwave Radiometers onboard NASA's Cosmic Background Explorer satellite. Using Galactic coordinates, the map shows the plane of the Milky Way galaxy horizontally and the center of our galaxy at its

98

Automated reaction mapping  

Science Conference Proceedings (OSTI)

Automated reaction mapping is a fundamental first step in the analysis of chemical reactions and opens the door to the development of sophisticated chemical kinetic tools. This article formulates the reaction mapping problem as an optimization problem. ... Keywords: Cheminformatics, mechanisms

John D. Crabtree; Dinesh P. Mehta

2009-02-01T23:59:59.000Z

99

My Trip Calculator  

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

Savings Calculator Trip Calculator Benefits Why is fuel economy important? Climate Change Oil Dependence Costs Sustainability Save Money Vehicles produce about half of the...

100

Solar Glare and Flux Mapping  

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

SGFMT Home SGFMT Home Register Glare Analysis Solar Glare Hazard Analysis SGHAT 1.0 (old) Empirical Glare Analysis Analytical Glare Analysis PHLUX Mapping Reflectivity Calculator References Contact Us Solar Glare and Flux Mapping Tools Measurement of reflected solar irradiance is receiving significant attention by industry, military, and government agencies to assess potential impacts of glint and glare from growing numbers of solar power installations around the world. In addition, characterization of the incident solar flux distribution on central receivers for concentrating solar power applications is important to monitor and maintain system performance. This website contains tools to evaluate solar glare and receiver irradiance. Register to access the tools Solar Glare Hazard Analysis Tool

Note: This page contains sample records for the topic "maps calculated actual" 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

Quantitative DNA fiber mapping  

DOE Patents (OSTI)

The present invention relates generally to the DNA mapping and sequencing technologies. In particular, the present invention provides enhanced methods and compositions for the physical mapping and positional cloning of genomic DNA. The present invention also provides a useful analytical technique to directly map cloned DNA sequences onto individual stretched DNA molecules.

Gray, Joe W. (San Francisco, CA); Weier, Heinz-Ulrich G. (Oakland, CA)

1998-01-01T23:59:59.000Z

102

Quadtree relief mapping  

Science Conference Proceedings (OSTI)

Relief mapping is an image based technique for rendering surface details. It simulates depth on a polygonal model using a texture that encodes surface height. The presented method incorporates a quadtree structure to achieve a theoretically proven performance ... Keywords: image based rendering, pixel based displacement mapping, quadtree, relief mapping, surface details

M. F. A. Schroders; R. v. Gulik

2006-09-01T23:59:59.000Z

103

Ocean Map | Data.gov  

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

Map Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Map Gallery Planning for ocean, coastal, and Great...

104

maps | OpenEI Community  

Open Energy Info (EERE)

- 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps maps multicolor result formats results Semantic Mediawiki Hi all, Recently, a...

105

Table 19. Total Commercial Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Commercial Energy Consumption, Projected vs. Actual Commercial Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.6 6.7 6.8 6.8 6.8 6.9 AEO 1983 6.4 6.6 6.8 6.9 7.0 7.1 7.2 AEO 1984 6.2 6.4 6.5 6.7 6.8 6.9 7.3 AEO 1985 5.9 6.1 6.2 6.3 6.4 6.5 6.7 AEO 1986 6.2 6.3 6.4 6.4 6.5 7.1 7.4 AEO 1987 6.1 6.1 6.3 6.4 6.6 6.7 6.8 6.9 6.9 7.3 AEO 1989* 6.6 6.7 6.9 7.0 7.0 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 AEO 1990 6.6 6.8 7.1 7.4 7.8 AEO 1991 6.7 6.9 7.0 7.1 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.6 8.7 AEO 1992 6.8 7.1 7.2 7.3 7.3 7.4 7.5 7.6 7.7 7.8 7.9 8.0 8.1 8.2 8.3 8.4 8.5 8.6 8.7 AEO 1993 7.2 7.3 7.4 7.4 7.5 7.6 7.7 7.7 7.8 7.9 7.9 8.0 8.0 8.1 8.1 8.1 8.2 8.2 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 AEO 1995 6.94 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0

106

The University of Texas at Austin Jan-03 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-03 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1/93) #12;The University of Texas at Austin Feb-03 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1/93) #12;The University of Texas at Austin Mar-03 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1

Johns, Russell Taylor

107

Historical Maps Online  

E-Print Network (OSTI)

For 20 years, David Rumsey assembled a collection of more than 150,000 historical maps of the Americas and the world. Motivated by a desire to make his private map collection a free public resource, Rumsey then created an online map library, http://www.davidrumsey.com/, which currently has over 10,000 high resolution images of maps from his collection. He has also built a suite of tools for users to experience and interpret the maps online. These include GIS, which allows users to combine historical maps with modern geospatial data to see change over time. The online map collection can be accessed over the Internet from search engines, library catalogs, GIS databases and many other entry points. Rumsey continues to add new content to the online collection and develops new tools that improve both the user experience and the online library architecture.

Rumsey, David Y.

2005-01-31T23:59:59.000Z

108

Maps of Selected State Subdivisions  

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

Crude Oil, Natural Gas, and Natural Gas Liquids Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map 5: Texas Map 6: Western Planning Area, Gulf of Mexico Map 7: Central Planning Area, Gulf of Mexico Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region Onshore CA 90 - Los Angeles Basin Onshore CA 10 - San Joaquin Basin Onshore

109

R-value Calculator  

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

Advanced Wall Systems Advanced Wall Systems ORNL Home ASTM Testing BEP Home Related Sites Work With Us Advanced Wall Systems Home Interactive Calculators New Whole Wall R-value Calculators As A Part Of The ORNL Material Database For Whole Building Energy Simulations These calculators are replacing the old Whole Wall Thermal Performance calculator. These new versions of the calculator contain many new features and are part of the newly developed Interactive Envelope Materials Database for Whole-Building Energy Simulation Programs. The simple version of the Whole Wall R-value calculator is now available for use. This calculator is similar to the previous Whole Wall Thermal Performance calculator and does not require any downloads from the user. However, it was updated to allow calculations for fourteen wall details

110

Direct Atmospheric Forcing of Geostrophic Eddies. Part II: Coherence Maps  

Science Conference Proceedings (OSTI)

The theory of stochastic atmospheric forcing of quasigeostrophic eddies is applied to calculate coherence maps, that is, the coherence between the oceanic response at one location and the atmospheric forcing at another location as a function of ...

Angelika Lippert; Peter Müller

1995-01-01T23:59:59.000Z

111

On Thurston's pullback map  

E-Print Network (OSTI)

Let f: P^1 \\to P^1 be a rational map with finite postcritical set P_f. Thurston showed that f induces a holomorphic map \\sigma_f of the Teichmueller space T modelled on P_f to itself fixing the basepoint corresponding to the identity map (P^1, P_f) \\to (P^1, P_f). We give explicit examples of such maps f showing that the following cases may occur: (1) the basepoint is an attracting fixed point, the image of \\sigma_f is open and dense, and the map \\sigma_f is a covering map onto its image; (2) the basepoint is a superattracting fixed point, \\sigma is surjective, and \\sigma is a ramified Galois covering, (3) \\sigma_f is constant.

Buff, Xavier; Koch, Sarah; Pilgrim, Kevin

2011-01-01T23:59:59.000Z

112

The Map Comparison Kit  

Science Conference Proceedings (OSTI)

Comparing maps is an important issue in environmental research. There are many reasons to compare maps: (i) to detect temporal/spatial changes or hot-spots, (ii) to compare different models, methodologies or scenarios, (iii) to calibrate, validate land-use ... Keywords: Calibration, Fuzzy kappa, Fuzzy-set map comparison, Geographic Information System, Hierarchical fuzzy pattern matching, Kappa, Land-use models, Remote sensing

H. Visser; T. de Nijs

2006-03-01T23:59:59.000Z

113

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

114

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

115

RMOTC RMOTC -Site Map  

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

Site Map Home About Us About Us Staff Field Info History Photo Gallery Awards & Testimonials Safety Initiatives Outreach & Community News Latest News Newsletters Press Releases...

116

Actual Dose Variation of Parotid Glands and Spinal Cord for Nasopharyngeal Cancer Patients During Radiotherapy  

Science Conference Proceedings (OSTI)

Purpose: For intensity-modulated radiotherapy of nasopharyngeal cancer, accurate dose delivery is crucial to the success of treatment. This study aimed to evaluate the significance of daily image-guided patient setup corrections and to quantify the parotid gland volume and dose variations for nasopharyngeal cancer patients using helical tomotherapy megavoltage computed tomography (CT). Methods and Materials: Five nasopharyngeal cancer patients who underwent helical tomotherapy were selected retrospectively. Each patient had received 70 Gy in 35 fractions. Daily megavoltage CT scans were registered with the planning CT images to correct the patient setup errors. Contours of the spinal cord and parotid glands were drawn on the megavoltage CT images at fixed treatment intervals. The actual doses delivered to the critical structures were calculated using the helical tomotherapy Planned Adaptive application. Results: The maximal dose to the spinal cord showed a significant increase and greater variation without daily setup corrections. The significant decrease in the parotid gland volume led to a greater median dose in the later phase of treatment. The average parotid gland volume had decreased from 20.5 to 13.2 cm{sup 3} by the end of treatment. On average, the median dose to the parotid glands was 83 cGy and 145 cGy for the first and the last treatment fractions, respectively. Conclusions: Daily image-guided setup corrections can eliminate significant dose variations to critical structures. Constant monitoring of patient anatomic changes and selective replanning should be used during radiotherapy to avoid critical structure complications.

Han Chunhui [Division of Radiation Oncology, City of Hope National Medical Center, Duarte, CA (United States)], E-mail: chan@coh.org; Chen Yijen; Liu An; Schultheiss, Timothy E.; Wong, Jeffrey Y.C. [Division of Radiation Oncology, City of Hope National Medical Center, Duarte, CA (United States)

2008-03-15T23:59:59.000Z

117

Integrated Management Requirements mapping  

Science Conference Proceedings (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia's approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

118

Positioning using local maps  

Science Conference Proceedings (OSTI)

It is often useful to know the positions of nodes in a network. However, in a large network it is impractical to build a single global map. In this paper, we present a new approach for distributed localization called Positioning using Local Maps (PLM). ... Keywords: Localization, Multidimensional scaling, Multilateration, Relative position estimation

Yi Shang; Wheeler Ruml; Markus P. J. Fromherz

2006-03-01T23:59:59.000Z

119

National Magnetic Anomaly Map  

DOE Green Energy (OSTI)

A record of the conclusions of a three-day meeting and workshop of the Committee for a National Magnetic Anomaly Map held in February 1976 is presented. The purpose of he workshop was to prepare a statement of the benefits, objectives, specifications, and requirements of a NMAM and establish a working plan for producing the map. (ACR)

Not Available

1976-01-01T23:59:59.000Z

120

NREL: PVWatts - PVWatts Grid Data Calculator (Version 2)  

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

Grid Data Calculator (Version 2) Grid Data Calculator (Version 2) PVWattsTM Grid Data calculator allows users to select a photovoltaic (PV) system location in the United States from an interactive map. The Grid Data calculator uses hourly typical meteorological year weather data and a PV performance model to estimate annual energy production and cost savings for a crystalline silicon PV system. It allows users to create estimated performance data for any location in the United States or its territories by selecting a site on a 40-km gridded map. The 40-km Grid Data calculator considers data from a climatologically similar typical meteorological year data station and site-specific solar resource and maximum temperature information to provide PV performance estimation. In this version, performance is first calculated for the the nearest TMY2

Note: This page contains sample records for the topic "maps calculated actual" 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

map | OpenEI  

Open Energy Info (EERE)

map map Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

122

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

123

Stress Actually Makes You Stronger ... At Least Some of the Time  

Office of Science (SC) Website

Stress Actually Makes You Stronger ... At Least Some of the Time News Featured Articles 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Presentations & Testimony...

124

The Multiple Peril Crop Insurance Actual Production History (APH) Insurance Plan  

E-Print Network (OSTI)

The Actual Production History insurance plan protects against crop losses from a number of causes. All aspects of this insurance are described, including reporting requirements for the producer.

Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

2008-10-07T23:59:59.000Z

125

Multiphase flow calculation software  

DOE Patents (OSTI)

Multiphase flow calculation software and computer-readable media carrying computer executable instructions for calculating liquid and gas phase mass flow rates of high void fraction multiphase flows. The multiphase flow calculation software employs various given, or experimentally determined, parameters in conjunction with a plurality of pressure differentials of a multiphase flow, preferably supplied by a differential pressure flowmeter or the like, to determine liquid and gas phase mass flow rates of the high void fraction multiphase flows. Embodiments of the multiphase flow calculation software are suitable for use in a variety of applications, including real-time management and control of an object system.

Fincke, James R. (Idaho Falls, ID)

2003-04-15T23:59:59.000Z

126

Oceanic Heat Flux Calculation  

Science Conference Proceedings (OSTI)

The authors review the procedure for the direct calculation of oceanic heat flux from hydrographic measurements and set out the full “recipe” that is required.

Sheldon Bacon; Nick Fofonoff

1996-12-01T23:59:59.000Z

127

Scattering Length Density Calculator  

Science Conference Proceedings (OSTI)

... For energy dependent cross sections please go to ... The neutron scattering length density is defined ... To calculate scattering length densities enter a ...

128

Heating Fuel Comparision Calculator  

U.S. Energy Information Administration (EIA)

Wood, Pellet, Corn (kernel), and Coal Heaters Heating Fuel Comparison Calculator Instructions and Guidance Residential Fuel/Energy Price Links Spot Prices, Daily

129

Scattering Length Density Calculator  

Science Conference Proceedings (OSTI)

... The first calculation will take the longest because the program has to download ... will take a few seconds as the database of isotopes is downloaded ...

130

Site Map - Pantex Plant  

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

Site Map Site Map Site Map Page Content Pantex.com Mission & Strategies Mission National Security Nuclear Explosive Operations Nuclear Material Operations HE Operations Strategies Advance HE Center of Excellence Exemplify a High Reliability Organization Health & Safety Safety Training Occupational Medicine Contractor Safety Environment Environmental Projects & Operations Regulatory Compliance Waste Operations Environmental Management System Environmental Document Library Public Meetings Doing Business With Pantex Procurement How We Buy Subcontracting Opportunities Supplier Information Profile Suspect/Counterfiet Items Business Definitions Documents and Forms Accounts Payable Work for Others Our Capabilities How to do Business with the Pantex eXMC Employee Information Benefits

131

Improved Mapping of Tropospheric Delays  

Science Conference Proceedings (OSTI)

The authors compare several methods to map the a priori tropospheric delay of global positioning system (GPS) signals from the zenith direction to lower elevations. This is commonly achieved with so-called mapping functions. Dry mapping functions ...

Christian Rocken; Sergey Sokolovskiy; James M. Johnson; Doug Hunt

2001-07-01T23:59:59.000Z

132

Semantic mapping using mobile robots  

Science Conference Proceedings (OSTI)

Robotic mapping is the process of automatically constructing an environment representation using mobile robots. We address the problem of semantic mapping, which consists of using mobile robots to create maps that represent not only metric occupancy ...

Denis Fernando Wolf / Gaurav S. Sukhatme

2006-01-01T23:59:59.000Z

133

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps Development  

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

Solar Maps Development - How the Maps Were Made Solar Maps Development - How the Maps Were Made 10km The State University of New York/Albany satellite radiation model was developed by Richard Perez and collaborators at the National Renewable Energy Laboratory and other universities for the U.S. Department of Energy. Specific information about this model can be found in Perez, et al. (2002). This model uses hourly radiance images from geostationary weather satellites, daily snow cover data, and monthly averages of atmospheric water vapor, trace gases, and the amount of aerosols in the atmosphere to calculate the hourly total insolation (sun and sky) falling on a horizontal surface. Atmospheric water vapor, trace gases, and aerosols are derived from a variety of sources. The procedures for converting the collector at

134

Map Data: State Spending | Department of Energy  

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

Spending Map Data: State Spending sedsstatespendingpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

135

Map Data: State Consumption | Department of Energy  

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

Consumption Map Data: State Consumption stateconsumptionpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending...

136

Directions and Maps  

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

Directions & Maps Directions & Maps Plan Your Visit Visit About the Museum Museum Hours Directions & Maps When to Visit Arrange for a Visit Around Los Alamos Contact Us invisible utility element Directions and Maps Aerial View of Los Alamos Aerial approach to the Los Alamos airport Where we're located Los Alamos (elevation 7,355 feet) is perched high atop the Pajarito Plateau in the Jemez Mountains, 35 miles northwest of Santa Fe. The Bradbury Science Museum is located in downtown Los Alamos at the corner of Central Avenue and 15th Street. If you're driving here and using GPS navigation, our address is 1350 Central Avenue, Los Alamos, NM 87544. How to get here From Albuquerque take I-25 north to Santa Fe (take NM 599 for most direct route), then US 84/285 north to Pojoaque. At Pojoaque take the NM 502 exit

137

Web Site Map  

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

Help » Web Site Map Help » Web Site Map Web Site Map The links listed below include all pages on the site except document topic pages. Home Privacy/Security Help Web Site Map Mailing Services Remove me from the List Contact Us About Us News and Events News Archives News/Media FAQs Internet Resources Documents DUF6 EIS Historical Context What is an EIS? Why EIS is Needed Who is Responsible? EIS Process EIS Topics EIS Alternatives EIS Schedule Public Involvement Opportunities Public Comment Form For More Info DUF6 Management and Uses Management Responsibilities DUF6 Storage How DUF6 is Stored Where DUF6 is Stored Cylinder Leakage DUF6 Storage Safety DUF6 PEIS Cylinder Surveillance and Maintenance Conversion Potential DU Uses "Business Case" for R&D on Beneficial Uses of DU Catalysts for Destruction of Air Pollutants

138

NREL: MapSearch  

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

to easily search our collection of maps created by the Geographic Information System (GIS) team. Please use the search box and the filters on the left of the screen to limit...

139

Maps & Directions | ORNL  

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

Maps & Directions ORNL is located in Roane County, Tennessee, about 7 miles from the center of the city of Oak Ridge and about 25 miles from the McGhee Tyson Airport near...

140

VIEW ALL MAPS  

Science Conference Proceedings (OSTI)

Use these following maps and floor plans to help locate where you need to go. If you need assistance, ask any TMS Staff member or stop by the Membership ...

Note: This page contains sample records for the topic "maps calculated actual" 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

ARM - Instrument - maps  

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

govInstrumentsmaps Documentation MAPS : XDC documentation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

142

CistromeMap  

Science Conference Proceedings (OSTI)

Summary: Transcription and chromatin regulators, and histone modifications play essential roles in gene expression regulation. We have created CistromeMap as a web server to provide a comprehensive knowledgebase of all of the publicly available ...

Bo Qin; Meng Zhou; Ying Ge; Len Taing; Tao Liu; Qian Wang; Su Wang; Junsheng Chen; Lingling Shen; Xikun Duan; Sheng'en Hu; Wei Li; Henry Long; Yong Zhang; X. Shirley Liu

2012-05-01T23:59:59.000Z

143

Space Mapping - Optimization Online  

E-Print Network (OSTI)

Thus, we can usec oP–to locally minimize the surrogatecoP that the space. mappingP provides for the fine model“.An alternative surrogate introduced byMadsen ...

144

Validation of Dose Calculation Codes for Clearance  

SciTech Connect

Various international and national bodies such as the International Atomic Energy Agency, the European Commission, the US Nuclear Regulatory Commission have put forward proposals or guidance documents to regulate the ''clearance'' from regulatory control of very low level radioactive material, in order to allow its recycling as a material management practice. All these proposals are based on predicted scenarios for subsequent utilization of the released materials. The calculation models used in these scenarios tend to utilize conservative data regarding exposure times and dose uptake as well as other assumptions as a safeguard against uncertainties. None of these models has ever been validated by comparison with the actual real life practice of recycling. An international project was organized in order to validate some of the assumptions made in these calculation models, and, thereby, better assess the radiological consequences of recycling on a practical large scale.

Menon, S.; Wirendal, B.; Bjerler, J.; Studsvik; Teunckens, L.

2003-02-27T23:59:59.000Z

145

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

146

A Modeling Study of Atmospheric Transport and Photochemistry in the Mixed Layer during Anticyclonic Episodes in Europe. Part II. Calculations of Photo-Oxidant Levels along Air Trajectories  

Science Conference Proceedings (OSTI)

A computer model for photochemical oxidant formation in the atmospheric boundary layer has been used to calculate trends in ozone formation in air masses traveling across Europe. Ozone calculations were made for some actual summertime ...

K. Selby

1987-10-01T23:59:59.000Z

147

Map Data: DOE Facilities | Department of Energy  

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

DOE Facilities Map Data: DOE Facilities doefacilities.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending Map Data: State Consumption...

148

Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel (E85) Biodiesel (B20) Next Vehicle Cost Calculator U.S. Department of Energy Energy Efficiency and Renewable Energy...

149

MODIFIED ZONE METHOD CALCULATOR  

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

Zone Method is recommended for R-value calculations in steel stud walls by the 1997 ASHRAE Handbook of Fundamentals ASHRAE 1997. The Modified Zone Method is similar to the...

150

Source and replica calculations  

Science Conference Proceedings (OSTI)

The starting point of the Hiroshima-Nagasaki Dose Reevaluation Program is the energy and directional distributions of the prompt neutron and gamma-ray radiation emitted from the exploding bombs. A brief introduction to the neutron source calculations is presented. The development of our current understanding of the source problem is outlined. It is recommended that adjoint calculations be used to modify source spectra to resolve the neutron discrepancy problem.

Whalen, P.P.

1994-02-01T23:59:59.000Z

151

Site Map - Energy Innovation Portal  

Energy Innovation Portal. Home. Site Map; ... Solar Thermal; Startup America; ... National Aeronautics and Space Administration;

152

Site Map - EERE Commercialization Office  

Quick Links. Energy Innovation Portal; Site Map Commercialization Home Page. About. Success Stories; Legacy Initiatives

153

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

154

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

155

SRNL - Directions and Maps  

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

Map of SRS, with Georgia and South Carolina Map of SRS, with Georgia and South Carolina Directions and Maps The Savannah River National Laboratory is located at the Savannah River Site , a 310 square mile site located in the southeastern coastal area of the United States in the state of South Carolina. It is bordered to the west by the Savannah River and Georgia, and is close to several major cities, including Augusta and Savannah (Ga.), Columbia, Greenville, and Charleston (S.C.). It is in an area residents refer to as the Central Savannah River Area, or CSRA. The Aiken County Technology Laboratory (which houses SRNL's biotechnology laboratories and certain waste treatment technology laboratories) and the Center for Hydrogen Research are located at Aiken County's Savannah River Research Campus, located adjacent to SRS.

156

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

157

Manhattan Project: Site Map  

Office of Scientific and Technical Information (OSTI)

SITE MAP SITE MAP Resources > Site Map THE MANHATTAN PROJECT Events 1890s-1939: Atomic Discoveries A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 1939-1942: Early Government Support Einstein's Letter, 1939 Early Uranium Research, 1939-1941 Piles and Plutonium, 1939-1941 Reorganization and Acceleration, 1940-1941 The MAUD Report, 1941 A Tentative Decision to Build the Bomb, 1941-1942 1942: Difficult Choices More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 1942-1944: The Uranium Path to the Bomb Y-12: Design, 1942-1943 Y-12: Construction, 1943

158

mapping | OpenEI  

Open Energy Info (EERE)

mapping mapping Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

159

Assessing Climate Information Use in Agribusiness. Part I: Actual and Potential Use and Impediments to Usage  

Science Conference Proceedings (OSTI)

A project for the development of methodology to enable agribusiness decision makers to utilize more effectively climate information involved investigation of three agribusiness firms, as well as measurement of their actual and potential use. The ...

Stanley A. Changnon; Steven T. Sonka; Steven Hofing

1988-08-01T23:59:59.000Z

160

Use of Remotely Sensed Actual Evapotranspiration to Improve Rainfall–Runoff Modeling in Southeast Australia  

Science Conference Proceedings (OSTI)

This paper explores the use of the Moderate Resolution Imaging Spectroradiometer (MODIS), mounted on the polar-orbiting Terra satellite, to determine leaf area index (LAI), and use actual evapotranspiration estimated using MODIS LAI data combined ...

Yongqiang Zhang; Francis H. S. Chiew; Lu Zhang; Hongxia Li

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

On occult period maps  

E-Print Network (OSTI)

We consider the "occult" period maps into ball quotients which exist for the moduli spaces of cubic surfaces, cubic threefolds, non-hyperelliptic curves of genus three and four. These were constructed in the work of Allcock/Carlson/Toledo, Looijenga/Swierstra, and Kondo. We interpret these maps as morphisms into moduli spaces of polarized abelian varieties of Picard type, and show that these morphisms, whose initial construction is transcendental, are defined over the natural field of definition of the spaces involved. This paper is extracted from section 15 of our paper arXiv:0912.3758, and differs from it only in some points of exposition.

Kudla, Stephen

2012-01-01T23:59:59.000Z

162

TVDG LET Calculator  

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

To The B N L Tandem Van de Graaff Accelerator To The B N L Tandem Van de Graaff Accelerator TVDG LET Calculator This program calculates the Peak LET, Corresponding Energy and Range as well as the LET and Range at the Specified Energy for the Specified Ion in the Specified Target. Select the Target Material from the dropdown list. Select the Ion Specie from the dropdown list. Enter the Total Ion Energy in the text box. This is equal to the Atomic Mass times the Energy/Nucleon. Click the 'Calculate' button or press the 'Enter' key. The Peak LET, Corresponding Energy and Range as well as the LET and Range at the Specified Energy for the Specified Ion in the Specified Target will be returned. Select your Target from the list Air Aluminum Oxide Carbon Copper Gallium Arsenide Gold Polyester Polyethylene Silicon Silicon Dioxide Skin Soda Lime Glass Sodium Iodide Water Select your Ion from the list

163

Solar Reflectance Index Calculator  

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

Reflectance Index Calculator Reflectance Index Calculator ASTM Designation: E 1980-01 Enter A State: Select a state Alabama Alaska Arkansas Arizona California Colorado Connecticut Delaware Florida Georgia Hawaii Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana North Carolina North Dakota Nebraska Nevada New Hampshire New Jersey New Mexico New York Ohio Oklahoma Oregon Pennsylvania Pacific Islands Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Wisconsin West Virginia Wyoming Canadian Cities Enter A City: Select a city Wind Speed (mph) Wind Speed (m/s) Please input both the SR and the TE and the convection coeficient and surface temperature will be calculated

164

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps  

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

Bookmark and Share Bookmark and Share Maps NREL's GIS team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure management, landfills, and domestic wastewater treatment. Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been

165

Maps and inverse maps in open quantum dynamics  

Science Conference Proceedings (OSTI)

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital cannot have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Jordan, Thomas F., E-mail: tjordan@d.umn.ed [Physics Department, University of Minnesota, Duluth, MN 55812 (United States)

2010-10-15T23:59:59.000Z

166

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Federal Energy  

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

Federal Energy Management Program Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been archived. If you have a need for one of the archived maps, please contact the Webmaster. This new application examines the viability of three solar technologies in the United States with a high-level annualized economic calculation, with and without potential savings from available renewable energy incentives at the state and federal level. This map allows users to access the results of those calculations, look in more detail at their areas of interest, and overlay other layers, such as renewable energy resource data for solar,

167

Powered by 500 Trillion Calculations | Department of Energy  

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

Powered by 500 Trillion Calculations Powered by 500 Trillion Calculations Powered by 500 Trillion Calculations April 15, 2011 - 5:31pm Addthis Blood flow visualization | Photo Courtesy of Argonne National Laboratory Blood flow visualization | Photo Courtesy of Argonne National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Argonne's supercomputer is using its superpowers to map the movement of red blood cells -- which will hopefully lead to better diagnoses and treatments for patients with blood flow complications. With the power of 500 trillion calculations per second, a team of scientists from the Department of Energy's Argonne National Laboratory (ANL) and Brown University are mapping the movement of red blood cells -- hoping this will lead to better diagnoses and treatments for patients with

168

Brunnian subgroups of mapping class groups and braid groups  

E-Print Network (OSTI)

In this paper we continue our study of the Delta-group structure on the braid groups and mapping class groups of a surface. We calculate the homotopy groups of these Delta-groups and prove some results about Brunnian braid groups and Brunnian mapping class groups. This is the second of a pair of papers on these structures. 1 Introduction and statement of results In this paper we study the sequences

A. J. Berrick; E. Hanbury; J. Wu

2010-01-01T23:59:59.000Z

169

Mitigation Efforts Calculator (MEC)  

Science Conference Proceedings (OSTI)

The Mitigation Efforts Calculator (MEC) has been developed by the International Institute for Applied Systems Analysis (IIASA) as an online tool to compare greenhouse gas (GHG) mitigation proposals by various countries for the year 2020. In this paper, ... Keywords: Business intelligence, Cost curves, Decision model, Interactive system, Optimisation

Thanh Binh Nguyen; Lena Hoeglund-Isaksson; Fabian Wagner; Wolfgang Schoepp

2013-04-01T23:59:59.000Z

170

Tunnel closure calculations  

SciTech Connect

When a deeply penetrating munition explodes above the roof of a tunnel, the amount of rubble that falls inside the tunnel is primarily a function of three parameters: first the cube-root scaled distance from the center of the explosive to the roof of the tunnel. Second the material properties of the rock around the tunnel, and in particular the shear strength of that rock, its RQD (Rock Quality Designator), and the extent and orientation of joints. And third the ratio of the tunnel diameter to the standoff distance (distance between the center of explosive and the tunnel roof). The authors have used CALE, a well-established 2-D hydrodynamic computer code, to calculate the amount of rubble that falls inside a tunnel as a function of standoff distance for two different tunnel diameters. In particular they calculated three of the tunnel collapse experiments conducted in an iron ore mine near Kirkeness, Norway in the summer of 1994. The failure model that they used in their calculations combines an equivalent plastic strain criterion with a maximum tensile strength criterion and can be calibrated for different rocks using cratering data as well as laboratory experiments. These calculations are intended to test and improve the understanding of both the Norway Experiments and the ACE (Array of conventional Explosive) phenomenology.

Moran, B.; Attia, A.

1995-07-01T23:59:59.000Z

171

battery, map parcel, med  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

172

Servant dictionary battery, map  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

173

Field Mapping | Open Energy Information  

Open Energy Info (EERE)

Field Mapping Field Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (59) Areas (35) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Stratigraphic/Structural: Map fault and fracture patterns, kinematic information. Hydrological: Map surface manifestations of geothermal systems. Thermal: Map surface temperature. Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / hour Median Estimate (USD): 600.0060,000 centUSD

174

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques  

Open Energy Info (EERE)

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration identified hardware and software solutions to enhance the efficiency and accuracy of field work. The goal of the research was to find a lightweight hardware-software system that allows the user to build a digital map from field observations in much the same way as pen and paper methods. The focus of the research was to minimize the size and weight of computer systems. Systems identified consist of a wearable PC or handheld

175

Hydrogen Threshold Cost Calculation  

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

Program Record (Offices of Fuel Cell Technologies) Program Record (Offices of Fuel Cell Technologies) Record #: 11007 Date: March 25, 2011 Title: Hydrogen Threshold Cost Calculation Originator: Mark Ruth & Fred Joseck Approved by: Sunita Satyapal Date: March 24, 2011 Description: The hydrogen threshold cost is defined as the hydrogen cost in the range of $2.00-$4.00/gge (2007$) which represents the cost at which hydrogen fuel cell electric vehicles (FCEVs) are projected to become competitive on a cost per mile basis with the competing vehicles [gasoline in hybrid-electric vehicles (HEVs)] in 2020. This record documents the methodology and assumptions used to calculate that threshold cost. Principles: The cost threshold analysis is a "top-down" analysis of the cost at which hydrogen would be

176

Steep Slope Calculator  

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

Steep Slope Calculator Steep Slope Calculator Estimates Cooling and Heating Savings for Residential Roofs with Non-Black Surfaces Enter A State: Select a state Alabama Alaska Arkansas Arizona California Colorado Connecticut Delaware Florida Georgia Hawaii Iowa Idaho Illinois Indiana Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana North Carolina North Dakota Nebraska Nevada New Hampshire New Jersey New Mexico New York Ohio Oklahoma Oregon Pennsylvania Pacific Islands Puerto Rico Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington Wisconsin West Virginia Wyoming Canadian Cities Enter A City: Select a city Click to see Data for All 243 Locations Roof Inputs: R-value(Btu-in/(hr ft2 oF):

177

Comparison of actual and predicted energy savings in Minnesota gas-heated single-family homes  

Science Conference Proceedings (OSTI)

Data available from a recent evaluation of a home energy audit program in Minnesota are sufficient to allow analysis of the actual energy savings achieved in audited homes and of the relationship between actual and predicted savings. The program, operated by Northern States Power in much of the southern half of the state, is part of Minnesota's version of the federal Residential Conservation Service. NSP conducted almost 12 thousand RCS audits between April 1981 (when the progam began) and the end of 1982. The data analyzed here, available for 346 homes that obtained an NSP energy audit, include monthly natural gas bills from October 1980 through April 1983; heating degree day data matched to the gas bills; energy audit reports; and information on household demographics, structure characteristics, and recent conservation actions from mail and telephone surveys. The actual reduction in weather-adjusted natural gas use between years 1 and 3 averaged 19 MBtu across these homes (11% of preprogram consumption); the median value of the saving was 16 MBtu/year. The variation in actual saving is quite large: gas consumption increased in almost 20% of the homes, while gas consumption decreased by more than 50 MBtu/year in more than 10% of the homes. These households reported an average expenditure of almost $1600 for the retrofit measures installed in their homes; the variation in retrofit cost, while large, was not as great as the variation in actual natural gas savings.

Hirst, E.; Goeltz, R.

1984-03-01T23:59:59.000Z

178

Technology Transfer: Site Map  

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

Site Map Site Map About Us About Technology Transfer Contact Us Available Technologies Advanced Materials Biofuels Biotechnology and Medicine Developing World Energy Environmental Technologies Imaging and Lasers Ion Sources and Beam Technologies Nanotechnology and Microtechnology Software and Information Technology For Industry Licensing Overview Frequently Asked Questions Partnering with Berkeley Lab Licensing Interest Form Receive New Tech Alerts For Researchers What You Need to Know and Do The Tech Transfer Process Forms Record of Invention (Word doc -- please do not use earlier PDF version of the form) Software Disclosure and Abstract (PDF, use Adobe Acrobat or Adobe Reader 9 and up ONLY to complete the form) Policies Conflict of Interest Outside Empolyment Export Control FAQs for Researchers

179

NDB Site Map  

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

Site map NDB Home Search Structures Search DNA Search RNA Advanced Search Nucleic acid tools RNA 3D motif atlas Non-redundant lists RNA base triples atlas WebFR3D R3D Align Contact NDB Mailing Address About NDB NDB Members Goal References Publications Site map Tools Software Standards Standard Reference Supplementary Information Ideal Geometries X-PLOR Parameters Valence Geometries RNA Ontology Consortium mmCIF Resources PDBML Resources Education Introduction to Nucleic Acids: DNA Definition of terms RNA Base Pair Families RNA Base-Phosphate Families Base Stacking Interactions Non Redundant list Equivalence classes RNA 3D Motifs Relative Frequency Introduction to Nucleic Acids: RNA Nucleic Acid Highlight (PDB): DNA DNA Polymerase Nucleosome Transfer RNA RNA Polymerase Self-splicing RNA

180

Automatic annotation of geographic maps  

Science Conference Proceedings (OSTI)

In this paper, we describe an approach to generate semantic descriptions of entities in city maps so that they can be presented through accessible interfaces. The solution we present processes bitmap images containing city map excerpts. Regions of interest ...

Mirko Horstmann; Wilko Heuten; Andrea Miene; Susanne Boll

2006-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

book review: Climate change mapped  

E-Print Network (OSTI)

6596  news and update  book review  Climate change mapped atlas is more than just a book of maps.  By  that criterion than  just  a  science  book.   It  also covers climate 

Shanahan, Mike

2012-01-01T23:59:59.000Z

182

Site Map - Energy Innovation Portal  

Energy Innovation Portal Technologies. ... Home. Site Map; Printable Version; Share this resource. About; Search; Categories (15) Advanced Materials; Biomass and ...

183

Isotone maps on lattices  

E-Print Network (OSTI)

Let (L_i : i\\in I) be a family of lattices in a nontrivial lattice variety V, and let \\phi_i: L_i --> M, for i\\in I, be isotone maps (not assumed to be lattice homomorphisms) to a common lattice M (not assumed to lie in V). We show that the maps \\phi_i can be extended to an isotone map \\phi: L --> M, where L is the free product of the L_i in V. This was known for V the variety of all lattices (Yu. I. Sorkin 1952). The above free product L can be viewed as the free lattice in V on the partial lattice P formed by the disjoint union of the L_i. The analog of the above result does not, however, hold for the free lattice L on an arbitrary partial lattice P. We show that the only codomain lattices M for which that more general statement holds are the complete lattices. On the other hand, we prove the analog of our main result for a class of partial lattices P that are not-quite-disjoint unions of lattices. We also obtain some results similar to our main one, but with the relationship lattices:orders replaced either...

Bergman, G M

2011-01-01T23:59:59.000Z

184

User hints for map labelling  

Science Conference Proceedings (OSTI)

The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labelling processes in commercial fields are very often executed manually ... Keywords: combinatorial optimisation, map labelling, user hints

Hugo A. D. do Nascimento; Peter Eades

2003-02-01T23:59:59.000Z

185

The metro map layout problem  

Science Conference Proceedings (OSTI)

We initiate a new problem of automatic metro map layout. In general, a metro map consists of a set of lines which have intersections or overlaps. We define a set of aesthetic criteria for good metro map layouts and present a method to produce ...

Seok-Hee Hong; Damian Merrick; Hugo A. D. do Nascimento

2004-09-01T23:59:59.000Z

186

Bayesian inference with optimal maps  

Science Conference Proceedings (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established ... Keywords: Bayesian inference, Inverse problems, Measure-preserving maps, Numerical optimization, Optimal transport, Polynomial chaos

Tarek A. El Moselhy; Youssef M. Marzouk

2012-10-01T23:59:59.000Z

187

Cool Roof Calculator | Open Energy Information  

Open Energy Info (EERE)

Cool Roof Calculator Cool Roof Calculator Jump to: navigation, search Tool Summary Name: Cool Roof Calculator Agency/Company /Organization: Oak Ridge National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: www.ornl.gov/sci/roofs+walls/facts/CoolCalcEnergy.htm Country: United States Cost: Free Northern America Coordinates: 37.09024°, -95.712891° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

188

PMCDP Curriculum Map | Department of Energy  

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

Technology Centers Field Sites Power Marketing Administration Other Agencies You are here Home PMCDP Curriculum Map PMCDP Curriculum Map PMCDP Curriculum Map January 2013.pdf...

189

Ocean Map National | Data.gov  

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

National Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Featured Maps The following maps are from data...

190

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...

191

Map Data: Renewable Production | Department of Energy  

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

Renewable Production Map Data: Renewable Production renewprod2009.csv More Documents & Publications Map Data: Total Production Map Data: State Consumption Directory of Potential...

192

Google maps | OpenEI Community  

Open Energy Info (EERE)

Google maps Home Jweers's picture Submitted by Jweers(83) Contributor 16 May, 2013 - 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps...

193

A computer program for HVDC converter station RF noise calculations  

SciTech Connect

HVDC converter station operations generate radio frequency (RF) electromagnetic (EM) noise which could interfere with adjacent communication and computer equipment, and carrier system operations. A generic Radio Frequency Computer Analysis Program (RAFCAP) for calculating the EM noise generated by valve ignition of a converter station has been developed as part of a larger project. The program calculates RF voltages, currents, complex power, ground level electric field strength and magnetic flux density in and around an HVDC converter station. The program requires the converter station network to be represented by frequency dependent impedance functions. Comparisons of calculated and measured values are given for an actual HVDC station to illustrate the validity of the program. RAFCAP is designed to be used by engineers for the purpose of calculating the RF noise produced by the igniting of HVDC converter valves.

Kasten, D.G.; Caldecott, R.; Sebo, S.A. (Ohio State Univ., Columbus, OH (United States). Dept. of Electrical Engineering); Liu, Y. (Virginia Polytechnic Inst. State Univ., Blacksburg, VA (United States). Bradley Dept. of Electrical Engineering)

1994-04-01T23:59:59.000Z

194

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships  

E-Print Network (OSTI)

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships BAYMAP: CHARTING communities and underwater archaeological sites in a readily accessible GIS format. An interdisciplinary team underwater resources, including bathymetry, habitat, geology, soils/ sediment, and archeological resources

Wang, Y.Q. "Yeqiao"

195

The University of Texas at Austin Jan-11 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-11 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1.7% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-11 PART I CRIMES BURGLARY/93) #12;The University of Texas at Austin Jan-11 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List Other

Johns, Russell Taylor

196

The University of Texas at Austin Jan-00 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-00 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1.3% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-00 PART I CRIMES BURGLARY of Texas at Austin Jan-00 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List Other Target Areas) #/Month

Johns, Russell Taylor

197

The University of Texas at Austin Jan-06 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-06 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1 Total % Rcvd. 1.0% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-06 PART I/93) #12;The University of Texas at Austin Jan-06 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List Other

Johns, Russell Taylor

198

The University of Texas at Austin Jan-09 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-09 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1. 8.0% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-09 PART I CRIMES/93) #12;The University of Texas at Austin Jan-09 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List Other

Johns, Russell Taylor

199

The University of Texas at Austin Jan-08 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-08 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1 Total % Rcvd. 2.2% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-08 PART I(Rev. 1/93) #12;The University of Texas at Austin Jan-08 PART I CRIMES BURGLARY & THEFT TARGET SECTION

Johns, Russell Taylor

200

The University of Texas at Austin Jan-04 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-04 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1.1% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan-04 PART I CRIMES BURGLARY University of Texas at Austin Jan-04 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List Other Target Areas

Johns, Russell Taylor

Note: This page contains sample records for the topic "maps calculated actual" 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

The University of Texas at Austin Jan-01 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-01 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1/93) #12;The University of Texas at Austin Jan-01 PART I CRIMES BURGLARY & THEFT TARGET SECTION Maintenance. 1/93)Co #12;The University of Texas at Austin Jan-01 PART I CRIMES BURGLARY & THEFT TARGET SECTION

Johns, Russell Taylor

202

The University of Texas at Austin Jan-05 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-05 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1/93) #12;The University of Texas at Austin Jan-05 PART I CRIMES BURGLARY & THEFT TARGET SECTION Maintenance - Page 2(Rev. 1/93) #12;The University of Texas at Austin Jan-05 PART I CRIMES BURGLARY & THEFT TARGET

Johns, Russell Taylor

203

The University of Texas at Austin Jan-10 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-10 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1 of Texas at Austin Jan-10 PART I CRIMES BURGLARY & THEFT TARGET SECTION Maintenance Shops Offices 6 OF REPORT DP Form #31 - Page 2(Rev. 1/93) #12;The University of Texas at Austin Jan-10 PART I CRIMES

Johns, Russell Taylor

204

The University of Texas at Austin Jan-02 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan-02 PART I CRIMES Reported Unfounded Actual Cleared % Clrd. 1 Theft Total $280 $280 Total % Rcvd 0.4% DP Form #31 - Page 1(Rev. 1/93) #12;The University of Texas/93)Co #12;The University of Texas at Austin Jan-02 PART I CRIMES BURGLARY & THEFT TARGET SECTION (List

Johns, Russell Taylor

205

The University of Texas at Austin Jan07 PART I CRIMES Reported Unfounded Actual Cleared % Clrd.  

E-Print Network (OSTI)

The University of Texas at Austin Jan07 PART I CRIMES Reported Unfounded Actual Cleared.1% DP Form #31 Page 1(Rev. 1/93) #12;The University of Texas at Austin Jan07 PART I CRIMES BURGLARY Form #31 Page 2(Rev. 1/93) #12;The University of Texas at Austin Jan07 PART I CRIMES BURGLARY

Johns, Russell Taylor

206

Modeling of Optimal Oil Production and Comparing with Actual and Contractual Oil Production: Iran Case  

E-Print Network (OSTI)

Modeling of Optimal Oil Production and Comparing with Actual and Contractual Oil Production: Iran, Davis Introduction · The Iran Oil Project, initiated in 2007, aims to find the inefficiencies and their possible sources in Iranian oil and gas policies. Background Information Assumptions · Perfect Competition

California at Davis, University of

207

Satellite-Based Actual Evapotranspiration over Drying Semiarid Terrain in West Africa  

Science Conference Proceedings (OSTI)

A simple satellite-based algorithm for estimating actual evaporation based on Makkink’s equation is applied to a seasonal cycle in 2002 at three test sites in Ghana, West Africa: at a location in the humid tropical southern region and two in the ...

D. Schüttemeyer; Ch Schillings; A. F. Moene; H. A. R. de Bruin

2007-01-01T23:59:59.000Z

208

Widget:GasMap | Open Energy Information  

Open Energy Info (EERE)

Widget:GasMap Jump to: navigation, search Gas map widget: The Gas Map displays real-time gas prices for the United States Example Output Gas map widget: Denver Gas Prices provided...

209

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

210

Quantitive DNA Fiber Mapping  

SciTech Connect

Several hybridization-based methods used to delineate single copy or repeated DNA sequences in larger genomic intervals take advantage of the increased resolution and sensitivity of free chromatin, i.e., chromatin released from interphase cell nuclei. Quantitative DNA fiber mapping (QDFM) differs from the majority of these methods in that it applies FISH to purified, clonal DNA molecules which have been bound with at least one end to a solid substrate. The DNA molecules are then stretched by the action of a receding meniscus at the water-air interface resulting in DNA molecules stretched homogeneously to about 2.3 kb/{micro}m. When non-isotopically, multicolor-labeled probes are hybridized to these stretched DNA fibers, their respective binding sites are visualized in the fluorescence microscope, their relative distance can be measured and converted into kilobase pairs (kb). The QDFM technique has found useful applications ranging from the detection and delineation of deletions or overlap between linked clones to the construction of high-resolution physical maps to studies of stalled DNA replication and transcription.

Lu, Chun-Mei; Wang, Mei; Greulich-Bode, Karin M.; Weier, Jingly F.; Weier, Heinz-Ulli G.

2008-01-28T23:59:59.000Z

211

NREL: PVWatts Site Specific Data Calculator (Version 1)  

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

Site Specific Data Calculator (Version 1) Site Specific Data Calculator (Version 1) PVWattsTM Site Specific Data calculator allows users to select a photovoltaic (PV) system location from a defined list of options. For locations within the United States and its territories, users select a location from a map of 239 options. For international locations, users select a location from a drop-down menu of options. The PVWatts Site Specific Data calculator uses hourly typical meteorological year (TMY) weather data and a PV performance model to estimate annual energy production and cost savings for a crystalline silicon PV system. For locations in the United States and its territories, the PVWatts Version 1 calculator uses NREL TMY data. For other locations, it uses TMY data from the Solar and Wind Energy Resource Assessment

212

Method for calculating strontium sulfate solubility  

SciTech Connect

This paper presents a method of predicting the tendency of brines to deposit strontium sulfate scale. Strontium sulfate solubility product constants were determined in the laboratory at temperatures of 50, 75, 122 and 156/sup 0/F and ionic strengths of sodium chloride solutions from 0.1 to 5.25. Solid strontium sulfate was prepared and tagged with radioactive sulfur-35. Excess of this strontium sulfate was added to the sodium chloride solutions and shaken at the various temperatures until equilibrium was reached. The filtrate was analyzed for sulfate ion using a liquid scintillation counter and for strontium ion using an atomic absorption spectrophotometer. The solubility products were expressed graphically as K/sub sp/ versus ionic strength at various temperatures. A series of synthetic brines containing various amounts of sodium, magnesium, calcium, strontium and chloride ions was prepared. The solubilities of strontium sulfate in these brines were calculated using the known ionic strengths and solubility data obtained from the experiments with the sodium chloride solutions. These calculated values were compared with actual values determined in the same manner as those from the sodium chloride values.

Fletcher, G.E.; French, T.R.; Collins, A.G.

1981-04-01T23:59:59.000Z

213

BTRIC - Tools & Calculators - ORNL  

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

Calculators Calculators Attic Radiant Barrier Calculator Low-Slope Roof Calculator for Commercial Buildings (6/05) - estimates annual energy cost savings Moisture Control for Low-Slope Roofing (5/04) - determine if a roof design needs a vapor retarder or if the roofing system can be modified to enhance its tolerance for small leaks Modified Zone Method Roof Savings Calculator (12/12) - for commerical and residential buildings using whole-building energy simulations Solar Reflectance Index (SRI) Calculator (6/06) Steep-Slope Roof Calculator on Residential Buildings (6/05) - estimate annual energy cost savings Whole-Wall R-Value Calculator 2.0 (10/06) ZIP-Code R-Value Recommendation Calculator (1/08) Roofs/Attics Attic Radiant Barrier Fact Sheet (Jan 2011) Cool Roofs Will Revolutionize the Building Industry Fact Sheet

214

Cosmic string induced CMB maps  

SciTech Connect

We compute maps of CMB temperature fluctuations seeded by cosmic strings using high resolution simulations of cosmic strings in a Friedmann-Robertson-Walker universe. We create full-sky, 18 deg. and 3 deg. CMB maps, including the relevant string contribution at each resolution from before recombination to today. We extract the angular power spectrum from these maps, demonstrating the importance of recombination effects. We briefly discuss the probability density function of the pixel temperatures, their skewness, and kurtosis.

Landriau, M. [Max-Planck-Institut fuer extraterrestrische Physik, Giessenbachstrasse 1, 85748 Garching (Germany); Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom); Shellard, E. P. S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)

2011-02-15T23:59:59.000Z

215

Report Title: Mapping  

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

Title: Title: Mapping of Reservoir Properties and Facies Through Integration of Static and Dynamic Data Report Type: Final Technical Report Reporting Period Start Date: October 1, 2000 Reporting Period End Date: September 30, 2004 Principal Authors: Albert C. Reynolds, Dean S. Oliver, Yannong Dong, Ning Liu, Guohua Gao, Fengjun Zhang & Ruijian Li Date Report Issued: December 2004 DOE Award Number: DE-FC26-00BC15309 Petroleum Engineering Department The University of Tulsa 600 South College Avenue Tulsa, Oklahoma 74104 This report was prepared as an account of work sponsored by an agency of the United States Government. 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,

216

map_legend  

Gasoline and Diesel Fuel Update (EIA)

c c Natural Gas Market Hub a Surface Congressional District (113th) Underground b Coal Mines U.S. States Map Legend County Boundary Power Plants K A B C E 0 G L H I J Biomass Coal Geothermal Market Hubs Transmission and Pipelines Hydro Natural Gas Other Fossil Gases Petroleum Pumped Storage Solar Wind Wood Petroleum Import Site f Northeast Home Heating Oil Reserve Site 4 j Petroleum Refinery h DOT NPMS Gas Transmission Pipeline Due to security constraints, only a single county's pipelines can be shown at a time for this layer. The natural gas interstate, intrastate, and gathering pipelines layer (see below) can be viewed across larger geographic areas, but is not as accurate or complete. DOT NPMS Hazardous Liquid Pipeline Hazardous liquids include crude oil, product, liquid petroleum gas, natural gas liquid, hydrogen gas,

217

SRS - Website Map  

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

1/2011 1/2011 SEARCH GO menu spacer SRS Home Savannah River Site Website Map About SRS Mission & Vision Where We Are SRS History Fact Sheets Tour SRS Contact SRS SRS Organizations Savannah River Nuclear Solutions, LLC (SRNS) Savannah River Remediation LLC (SRR) Savannah River Ecology Laboratory (SREL) USDA Forest Service - Savannah River Wackenhut Services, Inc. Mixed Oxide Fuel Fabrication Facility (MOX) Parsons Related Links & Resources Department of Energy (DOE) Department of Energy - Environmental Management (DOE-EM) National Nuclear Security Administration (NNSA) American Recovery & Reinvestment Act (ARRA) News News Releases Video Releases Fact Sheets Photo Gallery Speakers Media Contacts Business Opportunities Community Reuse Organization Technology Transfer Savannah River National Laboratory (SRNL)

218

Irradiated integrated circuits dose-attenuation mapping using optically stimulated phosphors for packaging dosimetry  

Science Conference Proceedings (OSTI)

The feasibility of a dose mapping system using Optically Stimulated Luminescent (OSL) Phosphors is demonstrated. The OSL technique is briefly reviewed as well as its interest for calculation codes calibration. The sensors and the reading apparatus are presented. An example of attenuation dose map obtained for a Dual In Line Plastic Package (DIL) is given and the results compared to calculations with the code EGS4 PRESTA. Results obtained by experiment and simulation are discussed as well as the potentialities of the method.

Dusseau, L.; Polge, G.; Albert, L.; Magnac, Y.; Fesquet, J.; Gasiot, J. [Univ. Montpellier II (France); Bessiere, J.C. [CORAD P.I.T. Pompignane, Montpellier (France)

1998-12-01T23:59:59.000Z

219

"Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual"  

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

Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" "Projected" " (million metric tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",5060,5129.666667,5184.666667,5239.666667,5287.333333,5335,5379,5437.666667,5481.666667,5529.333333,5599,5657.666667,5694.333333,5738.333333,5797,5874,5925.333333,5984 "AEO 1995",,5137,5173.666667,5188.333333,5261.666667,5309.333333,5360.666667,5393.666667,5441.333333,5489,5551.333333,5621,5679.666667,5727.333333,5775,5841,5888.666667,5943.666667 "AEO 1996",,,5181.817301,5223.645142,5294.776326,5354.687297,5416.802205,5463.67395,5525.288005,5588.52771,5660.226888,5734.87972,5812.398031,5879.320068,5924.814575,5981.291626,6029.640422,6086.804077,6142.120972

220

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

Science Conference Proceedings (OSTI)

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

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

2012-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Fault Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fault Mapping Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Locates active faults in the area of interest Hydrological: Can reveal whether faults are circulating hydrothermal fluids Thermal: Dictionary.png

222

Gasification Systems Projects National Map  

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

Gasification Systems Gasification Systems Projects National Map Click on a number to go to the project page. Hybrid Solar Coal Gasifier ITM Oxygen Technology for Integration in...

223

C:\\DOCS\\MAP.QA  

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

associated with maps developed for the Department of Energy Oak Ridge Operations (DOE-ORO) Environmental Management (EM) Program. Specifically, this form verifies that...

224

X-ray fluorescence mapping  

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

Applications reach from the mapping of trace metals in single biololgical cells, over the measurement of impurities in solar cells, to the rare earth content of geological...

225

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps  

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

Biomass Maps Biomass Maps These maps illustrate the biomass resources available in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from manure management, landfills, and domestic wastewater treatment. Biomass Resources in the United States Map of Total Biomass Resources in the United States Total Resources by County Total Biomass per Square Kilometer These maps estimate the biomass resources currently available in the United States by county. They include the following feedstock categories: crop residues (5 year average: 2003-2007) forest and primary mill residues

226

The Actual Impact of the International Tribunal for former Yugoslavia on the Reconciliation Process in Bosnia-Herzegovina.  

E-Print Network (OSTI)

??This thesis explores the actual impact of the International Criminal Tribunal for the former Yugoslavia (ICTY) on the reconciliation process in Bosnia-Herzegovina and analyses possible… (more)

Johansen, Kristine

2011-01-01T23:59:59.000Z

227

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

investment, behaviour, energy price, consumers Abstract “suggest that raising energy prices—such as in the form ofconsumers actually “see” energy prices and are therefore

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

228

2050 Calculator | Open Energy Information  

Open Energy Info (EERE)

0 Calculator 0 Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: 2050 Calculator Agency/Company /Organization: United Kingdom Department of Energy and Climate Change (DECC) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, Buildings - Commercial, Buildings - Residential, Economic Development, Geothermal, Greenhouse Gas, Multi-model Integration, Multi-sector Impact Evaluation, Solar, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Analysis Tools, Pathways analysis Resource Type: Online calculator User Interface: Spreadsheet, Website Complexity/Ease of Use: Not Available Website: www.gov.uk/2050-pathways-analysis Country: United Kingdom Web Application Link: 2050-calculator-tool.decc.gov.uk/pathways/1111111111111111111111111111

229

HRA Calculator v. 5.0 BETA  

Science Conference Proceedings (OSTI)

HRA Calculator analyzes and calculates human error probabilities in support of probabilistic risk assessments. HRA Calculator takes ...

2013-04-19T23:59:59.000Z

230

EPRI HRA Calculator Version 5.0  

Science Conference Proceedings (OSTI)

HRA Calculator analyzes and calculates human error probabilities in support of probabilistic risk assessments. HRA Calculator takes ...

2013-09-30T23:59:59.000Z

231

Painterly animation using motion maps  

Science Conference Proceedings (OSTI)

Starting from an input video, we replicate the manual technique of paint-on-glass animation. Motion maps are used to represent the regions where changes occur between frames. Edges are the key to identifying frame-to-frame changes, and a strong motion ... Keywords: Metamorphosis, Motion map, Non-photorealistic rendering & animation, Painterly rendering & animation, Strong edges

Youngsup Park; Kyunghyun Yoon

2008-01-01T23:59:59.000Z

232

Image search by concept map  

Science Conference Proceedings (OSTI)

In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear but also how these concepts are spatially distributed in the desired ... Keywords: concept map, image search

Hao Xu; Jingdong Wang; Xian-Sheng Hua; Shipeng Li

2010-07-01T23:59:59.000Z

233

NERSC Calculations Provide Independent Confirmation of Global Land Warming  

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

Calculations Calculations Provide Independent Confirmation of Global Land Warming Since 1901 NERSC Calculations Provide Independent Confirmation of Global Land Warming Since 1901 September 9, 2013 | Tags: Climate Research, Hopper Contact: Jon Bashor, jbashor@lbl.gov, 510-486-5849 campo.jpg These maps show the changes in air temperatures over land as measured using thermometers (left side) and as calculated by the 20th Century Reanalysis project (left side). While more than 80 percent of the observed variation is captured by the computer model, the results show interesting differences in some regions such as the midwestern United States, Argentina and eastern Brazil. The differences may be due previously unrecognized issues with the pressure observations, variations in land use and land cover over time,

234

C*-algebras associated with reversible extensions of logistic maps  

Science Conference Proceedings (OSTI)

The construction of reversible extensions of dynamical systems presented in a previous paper by the author and A.V. Lebedev is enhanced, so that it applies to arbitrary mappings (not necessarily with open range). It is based on calculating the maximal ideal space of C*-algebras that extends endomorphisms to partial automorphisms via partial isometric representations, and involves a new set of 'parameters' (the role of parameters is played by chosen sets or ideals). As model examples, we give a thorough description of reversible extensions of logistic maps and a classification of systems associated with compression of unitaries generating homeomorphisms of the circle. Bibliography: 34 titles.

Kwasniewski, Bartosz K [Institute of Mathematics, University of Bialystok (Poland)

2012-10-31T23:59:59.000Z

235

A Look Inside the Cash Flow Opportunity Calculator: Calculations and  

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

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

236

Kraus representation for maps and master equation in spin star model with layered environment  

E-Print Network (OSTI)

Quantum operations are usually defined as completely positive (CP), trace preserving (TP) maps on quantum states, and can be represented by operator-sum or Kraus representations. In this paper, we calculate operator-sum representation and master equation of an exactly solvable dynamic of one-qubit open system in layered environment . On the other hand, we obtain exact Nakajima-Zwanzig (NZ) and time-convolutionless (TCL) master equation from the maps. Finally, we study a simple example to consider the relation between CP maps and initial quantum correlation and show that vanishing initial quantum correlation is not necessary for CP maps.

Mahmoud Mahdian; Hadi Mehrabpour

2013-04-22T23:59:59.000Z

237

Recognition of Abstract Regions in Cartographic Maps  

Science Conference Proceedings (OSTI)

In the human interpretation of cartographic maps the areas we shall call abstract regions consist of several symbols (map objects), which are grouped to a single object. This abstraction process is an important part of human map interpretation. Abstract ... Keywords: cognitive modeling, formal methods, map generalization, map interpretation, region abstraction, spatial concepts

Joe Heike Steinhauer; Tom Wiese; Christian Freksa; Thomas Barkowsky

2001-09-01T23:59:59.000Z

238

Actual versus predicted impacts of three ethanol plants on aquatic and terrestrial resources  

DOE Green Energy (OSTI)

To help reduce US dependence on imported petroleum, Congress passed the Energy Security Act of 1980 (public Law 96-294). This legislation authorized the US Department of Energy (DOE) to promote expansion of the fuel alcohol industry through, among other measures, its Alcohol Fuels Loan Guarantee Program. Under this program, selected proposals for the conversion of plant biomass into fuel-grade ethanol would be granted loan guarantees. of 57 applications submitted for loan guarantees to build and operate ethanol fuel projects under this program, 11 were considered by DOE to have the greatest potential for satisfying DOE`s requirements and goals. In accordance with the National Environmental Policy Act (NEPA), DOE evaluated the potential impacts of proceeding with the Loan Guarantee Program in a programmatic environmental assessment (DOE 1981) that resulted in a finding of no significant impact (FANCY) (47 Federal Register 34, p. 7483). The following year, DOE conducted site-specific environmental assessments (EAs) for 10 of the proposed projects. These F-As predicted no significant environmental impacts from these projects. Eventually, three ethanol fuel projects received loan guarantees and were actually built: the Tennol Energy Company (Tennol; DOE 1982a) facility near Jasper in southeastern Tennessee; the Agrifuels Refining Corporation (Agrifuels; DOE 1985) facility near New Liberia in southern Louisiana; and the New Energy Company of Indiana (NECI; DOE 1982b) facility in South Bend, Indiana. As part of a larger retrospective examination of a wide range of environmental effects of ethanol fuel plants, we compared the actual effects of the three completed plants on aquatic and terrestrial resources with the effects predicted in the NEPA EAs several years earlier. A secondary purpose was to determine: Why were there differences, if any, between actual effects and predictions? How can assessments be improved and impacts reduced?

Eddlemon, G.K.; Webb, J.W.; Hunsaker, D.B. Jr.; Miller, R.L.

1993-03-15T23:59:59.000Z

239

Method and apparatus for distinguishing actual sparse events from sparse event false alarms  

DOE Patents (OSTI)

Remote sensing method and apparatus wherein sparse optical events are distinguished from false events. "Ghost" images of actual optical phenomena are generated using an optical beam splitter and optics configured to direct split beams to a single sensor or segmented sensor. True optical signals are distinguished from false signals or noise based on whether the ghost image is presence or absent. The invention obviates the need for dual sensor systems to effect a false target detection capability, thus significantly reducing system complexity and cost.

Spalding, Richard E. (Albuquerque, NM); Grotbeck, Carter L. (Albuquerque, NM)

2000-01-01T23:59:59.000Z

240

Invert Effective Thermal Conductivity Calculation  

SciTech Connect

The objective of this calculation is to evaluate the temperature-dependent effective thermal conductivities of a repository-emplaced invert steel set and surrounding ballast material. The scope of this calculation analyzes a ballast-material thermal conductivity range of 0.10 to 0.70 W/m {center_dot} K, a transverse beam spacing range of 0.75 to 1.50 meters, and beam compositions of A 516 carbon steel and plain carbon steel. Results from this calculation are intended to support calculations that identify waste package and repository thermal characteristics for Site Recommendation (SR). This calculation was developed by Waste Package Department (WPD) under Office of Civilian Radioactive Waste Management (OCRWM) procedure AP-3.12Q, Revision 1, ICN 0, Calculations.

M.J. Anderson; H.M. Wade; T.L. Mitchell

2000-03-17T23:59:59.000Z

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


241

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps  

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

shore annual wind resource potential in the United States map. Thumbnail image of the 90m offshore wind resource potential in the United States. Thumbnail image of the national 50m...

242

SHORT CIRCUIT CALCULATION (TEMPORARY POWER)  

SciTech Connect

The purpose and objective of this calculation is to determine the momentary and interrupting duty on the breakers, for 69kV temporary power only.

Yuri Shane

1995-07-24T23:59:59.000Z

243

Multimodal feedforward self-organizing maps  

Science Conference Proceedings (OSTI)

We introduce a novel system of interconnected Self- Organizing Maps that can be used to build feedforward and recurrent networks of maps. Prime application of interconnected maps is in modelling systems that operate with multimodal data as for example ...

Andrew P. Papli?ski; Lennart Gustafsson

2005-12-01T23:59:59.000Z

244

Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual" b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.502753725,1.549729719,1.64272351,1.727259934,1.784039735,1.822135762,1.923203642,2.00781457,2.134768212,2.217425497,2.303725166,2.407715232,2.46134106,2.637086093,2.775389073,2.902293046,3.120364238,3.298013245 "AEO 1995",,1.4212343,1.462640338,1.488780998,1.545300242,1.585877053,1.619428341,1.668671498,1.7584219,1.803937198,1.890547504,1.968695652,2.048913043,2.134750403,2.205281804,2.281690821,2.375434783,2.504830918 "AEO 1996",,,1.346101641,1.350594221,1.369020126,1.391737646,1.421340737,1.458772082,1.496497523,1.561369914,1.619940033,1.674758358,1.749420803,1.800709877,1.871110564,1.924495246,2.006850327,2.048938234,2.156821499

245

"Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"  

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

Total Delivered Transportation Energy Consumption, Projected vs. Actual" Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO 1996",,,23.89674759,24.08507919,24.47502899,24.84881783,25.25887871,25.65527534,26.040205,26.38586426,26.72540092,27.0748024,27.47158241,27.80837631,28.11616135,28.3992157,28.62907982,28.85912895,29.09081459 "AEO 1997",,,,24.68686867,25.34906006,25.87225533,26.437994,27.03513145,27.52499771,27.96490097,28.45482063,28.92999458,29.38239861,29.84147453,30.26097488,30.59760475,30.85550499,31.10873222,31.31938744

246

"Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual"  

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

Total Delivered Industrial Energy Consumption, Projected vs. Actual" Total Delivered Industrial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",25.43,25.904,26.303,26.659,26.974,27.062,26.755,26.598,26.908,27.228,27.668,28.068,28.348,28.668,29.068,29.398,29.688,30.008 "AEO 1995",,26.164,26.293,26.499,27.044,27.252,26.855,26.578,26.798,27.098,27.458,27.878,28.158,28.448,28.728,29.038,29.298,29.608 "AEO 1996",,,26.54702756,26.62236823,27.31312376,27.47668697,26.90313339,26.47577946,26.67685979,26.928811,27.23795407,27.58448499,27.91057103,28.15050595,28.30145734,28.518,28.73702901,28.93001263,29.15872662 "AEO 1997",,,,26.21291769,26.45981795,26.88483478,26.67847443,26.55107968,26.78246968,27.07367604,27.44749539,27.75711339,28.02446072,28.39156621,28.69999783,28.87316602,29.01207631,29.19475644,29.37683575

247

File:Theoretical vs Actual Data Lesson Plan .pdf | 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 File Edit History Facebook icon Twitter icon » File:Theoretical vs Actual Data Lesson Plan .pdf Jump to: navigation, search File File history File usage Metadata File:Theoretical vs Actual Data Lesson Plan .pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 257 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:33, 3 January 2014 Thumbnail for version as of 09:33, 3 January 2014 1,275 × 1,650, 2 pages (257 KB) Foteri (Talk | contribs) Category:Wind for Schools Portal CurriculaCategory:Wind for Schools High School Curricula

248

Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual  

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

a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per barrel in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 16.69 16.43 16.99 17.66 18.28 19.06 19.89 20.72 21.65 22.61 23.51 24.29 24.90 25.60 26.30 27.00 27.64 28.16 AEO 1995 1993 14.90 16.41 16.90 17.45 18.00 18.53 19.13 19.65 20.16 20.63 21.08 21.50 21.98 22.44 22.94 23.50 24.12 AEO 1996 1994 16.81 16.98 17.37 17.98 18.61 19.27 19.92 20.47 20.97 21.41 21.86 22.25 22.61 22.97 23.34 23.70 24.08

249

"Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual"  

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

Total Delivered Commercial Energy Consumption, Projected vs. Actual" Total Delivered Commercial Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",6.82,6.87,6.94,7,7.06,7.13,7.16,7.22,7.27,7.32,7.36,7.38,7.41,7.45,7.47,7.5,7.51,7.55 "AEO 1995",,6.94,6.9,6.95,6.99,7.02,7.05,7.08,7.09,7.11,7.13,7.15,7.17,7.19,7.22,7.26,7.3,7.34 "AEO 1996",,,7.059859276,7.17492485,7.228339195,7.28186655,7.336973667,7.387932777,7.442782879,7.501244545,7.561584473,7.623688221,7.684037209,7.749266148,7.815915108,7.884147644,7.950204372,8.016282082,8.085801125 "AEO 1997",,,,7.401538849,7.353548527,7.420701504,7.48336792,7.540113449,7.603093624,7.663851738,7.723834991,7.783358574,7.838726044,7.89124918,7.947964668,8.008976936,8.067288399,8.130317688,8.197405815

250

Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual  

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

b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per barrel) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 17.06 17.21 18.24 19.43 20.64 22.12 23.76 25.52 27.51 29.67 31.86 34.00 36.05 38.36 40.78 43.29 45.88 48.37 AEO 1995 15.24 17.27 18.23 19.26 20.39 21.59 22.97 24.33 25.79 27.27 28.82 30.38 32.14 33.89 35.85 37.97 40.28 AEO 1996 17.16 17.74 18.59 19.72 20.97 22.34 23.81 25.26 26.72 28.22 29.87 31.51 33.13 34.82 36.61 38.48 40.48

251

Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47 1.50 AEO 1996 1994 1.32 1.29 1.28 1.27 1.26 1.26 1.25 1.27 1.27 1.27 1.28 1.27 1.28 1.27 1.28 1.26 1.28

252

Filtration and Leach Testing for REDOX Sludge and S-Saltcake Actual Waste Sample Composites  

Science Conference Proceedings (OSTI)

A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan.( ) The test program was subdivided into logical increments. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Under test plan TP-RPP-WTP-467, eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. Under this test plan, a waste-testing program was implemented that included: • Homogenizing the archive samples by group as defined in the test plan • Characterizing the homogenized sample groups • Performing parametric leaching testing on each group for compounds of interest • Performing bench-top filtration/leaching tests in the hot cell for each group to simulate filtration and leaching activities if they occurred in the UFP2 vessel of the WTP Pretreatment Facility. This report focuses on filtration/leaching tests performed on two of the eight waste composite samples and follow-on parametric tests to support aluminum leaching results from those tests.

Shimskey, Rick W.; Billing, Justin M.; Buck, Edgar C.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Geeting, John GH; Hallen, Richard T.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Snow, Lanee A.; Swoboda, Robert G.

2009-02-20T23:59:59.000Z

253

Laboratory Demonstration of the Pretreatment Process with Caustic and Oxidative Leaching Using Actual Hanford Tank Waste  

Science Conference Proceedings (OSTI)

This report describes the bench-scale pretreatment processing of actual tank waste materials through the entire baseline WTP pretreatment flowsheet in an effort to demonstrate the efficacy of the defined leaching processes on actual Hanford tank waste sludge and the potential impacts on downstream pretreatment processing. The test material was a combination of reduction oxidation (REDOX) tank waste composited materials containing aluminum primarily in the form of boehmite and dissolved S saltcake containing Cr(III)-rich entrained solids. The pretreatment processing steps tested included • caustic leaching for Al removal • solids crossflow filtration through the cell unit filter (CUF) • stepwise solids washing using decreasing concentrations of sodium hydroxide with filtration through the CUF • oxidative leaching using sodium permanganate for removing Cr • solids filtration with the CUF • follow-on solids washing and filtration through the CUF • ion exchange processing for Cs removal • evaporation processing of waste stream recycle for volume reduction • combination of the evaporated product with dissolved saltcake. The effectiveness of each process step was evaluated by following the mass balance of key components (such as Al, B, Cd, Cr, Pu, Ni, Mn, and Fe), demonstrating component (Al, Cr, Cs) removal, demonstrating filterability by evaluating filter flux rates under various processing conditions (transmembrane pressure, crossflow velocities, wt% undissolved solids, and PSD) and filter fouling, and identifying potential issues for WTP. The filterability was reported separately (Shimskey et al. 2008) and is not repeated herein.

Fiskum, Sandra K.; Billing, Justin M.; Buck, Edgar C.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Shimskey, Rick W.; Snow, Lanee A.

2009-01-01T23:59:59.000Z

254

Comparison of Projections to Actual Performance in the DOE-EPRI Wind Turbine Verification Program  

DOE Green Energy (OSTI)

As part of the US Department of Energy/Electric Power Research Institute (DOE-EPRI) Wind Turbine Verification Program (TVP), Global Energy Concepts (GEC) worked with participating utilities to develop a set of performance projections for their projects based on historical site atmospheric conditions, turbine performance data, operation and maintenance (O and M) strategies, and assumptions about various energy losses. After a preliminary operation period at each project, GEC compared the actual performance to projections and evaluated the accuracy of the data and assumptions that formed the performance projections. This paper presents a comparison of 1999 power output, turbine availability, and other performance characteristics to the projections for TVP projects in Texas, Vermont, Iowa, Nebraska, Wisconsin, and Alaska. Factors that were overestimated or underestimated are quantified. Actual wind speeds are compared to projections based on long-term historical measurements. Turbine power curve measurements are compared with data provided by the manufacturers, and loss assumptions are evaluated for accuracy. Overall, the projects performed well, particularly new commercial turbines in the first few years of operation. However, some sites experienced below average wind resources and greater than expected losses. The TVP project owners successfully developed and constructed wind power plants that are now in full commercial operation, serving a total of approximately 12,000 households.

Rhoads, H.; VandenBosche, J.; McCoy, T.; Compton, A. (Global Energy Concepts, LLC); Smith, B. (National Renewable Energy Laboratory)

2000-09-11T23:59:59.000Z

255

PERFORMANCE TESTING OF THE NEXT-GENERATION CSSX SOLVENT WITH ACTUAL SRS TANK WASTE  

Science Conference Proceedings (OSTI)

Efforts are underway to qualify the Next-Generation Solvent for the Caustic Side Solvent Extraction (CSSX) process. Researchers at multiple national laboratories have been involved in this effort. As part of the effort to qualify the solvent extraction system at the Savannah River Site (SRS), SRNL performed a number of tests at various scales. First, SRNL completed a series of batch equilibrium, or Extraction-Scrub-Strip (ESS), tests. These tests used {approx}30 mL of Next-Generation Solvent and either actual SRS tank waste, or waste simulant solutions. The results from these cesium mass transfer tests were used to predict solvent behavior under a number of conditions. At a larger scale, SRNL assembled 12 stages of 2-cm (diameter) centrifugal contactors. This rack of contactors is structurally similar to one tested in 2001 during the demonstration of the baseline CSSX process. Assembly and mechanical testing found no issues. SRNL performed a nonradiological test using 35 L of cesium-spiked caustic waste simulant and 39 L of actual tank waste. Test results are discussed; particularly those related to the effectiveness of extraction.

Pierce, R.; Peters, T.; Crowder, M.; Fink, S.

2011-11-01T23:59:59.000Z

256

UCL Science Library Map Engineering  

E-Print Network (OSTI)

UCL Science Library Map Floor 4 Engineering Engineering Periodicals Guter Collection Sta Training Room Floor 3 Chemistry Computer Science Geology Geosciences Periodicals History of Science Maths Maths Periodicals Physical Sciences Periodicals Physics Computer Cluster Group Study Area Information Library

Crawford, Ian

257

Beamlines Map | Advanced Photon Source  

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

Map For a table view of basic technical capabilities of a particular beamline go to the APS Beamline Directory. Note that only BMs and IDs available for the general user program...

258

Large Consistent Geometric Landmark Maps  

Science Conference Proceedings (OSTI)

The autonomous operation of an intelligent service robot in practical applications requires that the robot builds up a map of the environment by itself, even for large environments like supermarkets. This paper presents a solution to the problem of building ...

Wolfgang D. Rencken; Wendelin Feiten; Martin Soika

2000-10-01T23:59:59.000Z

259

Map | OpenEI Community  

Open Energy Info (EERE)

Enabling Unique Visualization and Manipulation of Energy Data at Multiple Scales FRED Free Energy Data Map OpenEI Tool Visualization The U.S. Department of Energy, the Pacific...

260

Bayesian Inference with Optimal Maps  

E-Print Network (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

Moselhy, Tarek A El

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

A map of the universe  

SciTech Connect

We have produced a new conformal map of the universe illustrating recent discoveries, ranging from Kuiper belt objects in the Solar system, to the galaxies and quasars from the Sloan Digital Sky Survey. This map projection, based on the logarithm map of the complex plane, preserves shapes locally, and yet is able to display the entire range of astronomical scales from the Earth s neighborhood to the cosmic microwave background. The conformal nature of the projection, preserving shapes locally, may be of particular use for analyzing large scale structure. Prominent in the map is a Sloan Great Wall of galaxies 1.37 billion light years long, 80 percent longer than the Great Wall discovered by Geller and Huchra and therefore the largest observed structure in the universe.

Gott III, J. Richard; Juric, Mario; Schlegel, David; Hoyle, Fiona; Vogeley, Michael; Tegmark, Max; Bahcall, Neta; Brinkmann, Jon

2003-10-20T23:59:59.000Z

262

MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS  

E-Print Network (OSTI)

LBNL-XXXXX MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUSof California. MAPPING HVAC SYSTEMS FOR SIMULATION INpresent a conventional view of HVAC systems to the user, and

Basarkar, Mangesh

2013-01-01T23:59:59.000Z

263

Security Orchestration with IF-MAP  

Science Conference Proceedings (OSTI)

... IPAM SIM / SEM Asset Management System AAA ICS/SCADA Security Physical Security Endpoint Security (via NAC) IF-MAP Protocol MAP Page 7. ...

2012-10-26T23:59:59.000Z

264

Hawaii geologic map data | Open Energy Information  

Open Energy Info (EERE)

Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Hawaii geologic map data Citation Hawaii geologic map data Internet. 2013....

265

SunShot Initiative: Solar Career Map  

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

Solar Career Map This solar career map explores an expanding universe of solar-energy occupations, describing diverse jobs across the industry, charting possible...

266

Definition: Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

Mapping Jump to: navigation, search Dictionary.png Fault Mapping Faults are structural features of crustal rocks that are caused by tectonic forces. These features can create...

267

Microsoft Word - PMCDP Curriculum Map Jan 2010 | Department of...  

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

PMCDP Curriculum Map Jan 2010 Microsoft Word - PMCDP Curriculum Map Jan 2010 Microsoft Word - PMCDP Curriculum Map Jan 2010 More Documents & Publications PMCDP Curriculum Map...

268

NUCLEAR CALCULATIONS FOR THE PNPF  

SciTech Connect

The reactivity of the Piqua Nuclear Power Facility (PNPF) was calculated at various loadings using a oneregion (with reflector savings), four-group diffusion equation. These calculations were checked with a two-region, four- group FOG calculation. The thermal group constants were obtained with the TEMPEST II-S/sub 4/ procedure, the fast group constants with FORM. The U/sup 238/ resonance integral was adjusted to make the calculations for the critical assembly fit the measurements and the adjusted parameter was used for the PNPF calculations. The minimum critical loading at 360 deg F was calculated to be 20.4 elements, with and excess reactivity of 0.22% (31 cents) for the minimum critical loading of 21 elements. The excess reactivity wss calculated for core loadings of 19, 37, 61, and 85 elements, which result as the outer rings of element positions are filled consecutively. The isothermal temperature coefficient of reactivity was estimated for several core loadings by using the calculated reactivities at 325 deg F and 585 deg F. The values of the coefficient for 21- and 61-element loadings are --4.6 and --4.9 x 10/sup -5/ delta k/ deg F, respectively. The largest coefficient is --5.0 x 10/sup -6/ delta k/ deg F at a loading of 38 elements. The kinetics parameters 1 and BETA /sub eff/ were calculated using the PERT program. The lifetime is 5.23 x 10/sup -5/ seconds at 325 deg F and 5.67 x 10/sup -6/ at 585 deg F. Beta effective ranged from 0.00689 for and 85-element loading at 325 deg F to 0.00728 for a 19-element loading at 585 deg F. A value of 0.0070 was chosen for kinetics calculations. (auth)

Mountford, L.A.; Hume, J.R.

1963-06-24T23:59:59.000Z

269

A stochastic approach to estimate the uncertainty of dose mapping caused by uncertainties in b-spline registration  

Science Conference Proceedings (OSTI)

Purpose: In fractionated radiation therapy, image guidance with daily tomographic imaging becomes more and more clinical routine. In principle, this allows for daily computation of the delivered dose and for accumulation of these daily dose distributions to determine the actually delivered total dose to the patient. However, uncertainties in the mapping of the images can translate into errors of the accumulated total dose, depending on the dose gradient. In this work, an approach to estimate the uncertainty of mapping between medical images is proposed that identifies areas bearing a significant risk of inaccurate dose accumulation. Methods: This method accounts for the geometric uncertainty of image registration and the heterogeneity of the dose distribution, which is to be mapped. Its performance is demonstrated in context of dose mapping based on b-spline registration. It is based on evaluation of the sensitivity of dose mapping to variations of the b-spline coefficients combined with evaluation of the sensitivity of the registration metric with respect to the variations of the coefficients. It was evaluated based on patient data that was deformed based on a breathing model, where the ground truth of the deformation, and hence the actual true dose mapping error, is known. Results: The proposed approach has the potential to distinguish areas of the image where dose mapping is likely to be accurate from other areas of the same image, where a larger uncertainty must be expected. Conclusions: An approach to identify areas where dose mapping is likely to be inaccurate was developed and implemented. This method was tested for dose mapping, but it may be applied in context of other mapping tasks as well.

Hub, Martina; Thieke, Christian; Kessler, Marc L.; Karger, Christian P. [Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg (Germany); Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany and Department of Radiation Oncology, University Clinic Heidelberg, 69120 Heidelberg (Germany); Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109 (United States); Department of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), 69120 Heidelberg (Germany)

2012-04-15T23:59:59.000Z

270

Density equalizing map projections (cartograms) in public health applications  

Science Conference Proceedings (OSTI)

In studying geographic disease distributions, one normally compares rates among arbitrarily defined geographic subareas (e.g. census tracts), thereby sacrificing some of the geographic detail of the original data. The sparser the data, the larger the subareas must be in order to calculate stable rates. This dilemma is avoided with the technique of Density Equalizing Map Projections (DEMP){copyright}. Boundaries of geographic subregions are adjusted to equalize population density over the entire study area. Case locations plotted on the transformed map should have a uniform distribution if the underlying disease risk is constant. On the transformed map, the statistical analysis of the observed distribution is greatly simplified. Even for sparse distributions, the statistical significance of a supposed disease cluster can be calculated with validity. The DEMP algorithm was applied to a data set previously analyzed with conventional techniques; namely, 401 childhood cancer cases in four counties of California. The distribution of cases on the transformed map was analyzed visually and statistically. To check the validity of the method, the identical analysis was performed on 401 artificial cases randomly generated under the assumption of uniform risk. No statistically significant evidence for geographic non-uniformity of rates was found, in agreement with the original analysis performed by the California Department of Health Services.

Merrill, D.W.

1998-05-01T23:59:59.000Z

271

EERE: Federal Energy Management Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Federal Energy Management Program - Site Map to someone by E-mail Share EERE: Federal Energy Management Program - Site Map on Facebook Tweet about EERE: Federal Energy Management Program - Site Map on Twitter Bookmark EERE: Federal Energy Management Program - Site Map on Google Bookmark EERE: Federal Energy Management Program - Site Map on Delicious Rank EERE: Federal Energy Management Program - Site Map on Digg Find More places to share EERE: Federal Energy Management Program - Site Map on AddThis.com... Site Map About the Program Program Plans, Implementation, and Results Interagency Coordination Interagency Energy Management Task Force Contacts Program Areas Sustainable Buildings & Campuses

272

NREL-MapSearch | Open Energy Information  

Open Energy Info (EERE)

NREL-MapSearch NREL-MapSearch Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL-MapSearch Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Geothermal, Hydrogen, Solar, Wind Phase: Determine Baseline Topics: Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Website Website: maps.nrel.gov/node/18 Web Application Link: www.nrel.gov/gis/mapsearch/index.html Cost: Free Language: English NREL-MapSearch Screenshot References: NREL MapSearch[1] NREL MapSearch allows you to easily and quickly find Geographic Information System (GIS) maps produced by NREL. About Use our MapSearch to easily search our collection of over a thousand maps created by the Geographic Information Systems (GIS) team. A faceted search

273

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Vehicles All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Fuels & Infrastructure

274

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Browse by Category All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns

275

Characterization, Leaching, and Filtrations Testing of Ferrocyanide Tank sludge (Group 8) Actual Waste Composite  

SciTech Connect

This is the final report in a series of eight reports defining characterization, leach, and filtration testing of a wide variety of Hanford tank waste sludges. The information generated from this series is intended to supplement the Waste Treatment and Immobilization Plant (WTP) project understanding of actual waste behaviors associated with tank waste sludge processing through the pretreatment portion of the WTP. The work described in this report presents information on a high-iron waste form, specifically the ferrocyanide tank waste sludge. Iron hydroxide has been shown to pose technical challenges during filtration processing; the ferrocyanide tank waste sludge represented a good source of the high-iron matrix to test the filtration processing.

Fiskum, Sandra K.; Billing, Justin M.; Crum, J. V.; Daniel, Richard C.; Edwards, Matthew K.; Shimskey, Rick W.; Peterson, Reid A.; MacFarlan, Paul J.; Buck, Edgar C.; Draper, Kathryn E.; Kozelisky, Anne E.

2009-02-28T23:59:59.000Z

276

Building a Model Patient Room to Test Design Innovations With Actual Patients  

E-Print Network (OSTI)

comfortable hospital environment SUMMARY Designing and constructing a new hospital is a complex and costly undertaking that involves experts from many disciplines both inside and outside the health care arena. But despite expending funds and time, hospital leaders often discover significant flaws once a hospital opens that can undermine the quality of patient care and staff effectiveness and efficiency. From 2010 to 2012, a team at the Princeton HealthCare System worked to devise an optimal design for inpatient rooms at a new hospital: the University Medical Center of Princeton at Plainsboro. The project entailed building a “functional model patient room.” This was a unique and innovative method to allow the team to test design innovations with actual patients, according to project director Susan Lorenz, DrNP, RN, vice president of patient care services and chief nursing officer for the Princeton HealthCare System. The project helped support the emerging field of evidence-based hospital design.

A Princeton; More Efficient; Key Results

2013-01-01T23:59:59.000Z

277

Actual Scale MOX Powder Mixing Test for MOX Fuel Fabrication Plant in Japan  

Science Conference Proceedings (OSTI)

Japan Nuclear Fuel Ltd. (hereafter, JNFL) promotes a program of constructing a MOX fuel fabrication plant (hereafter, J-MOX) to fabricate MOX fuels to be loaded in domestic light water reactors. Since Japanese fiscal year (hereafter, JFY) 1999, JNFL, to establish the technology for a smooth start-up and the stable operation of J-MOX, has executed an evaluation test for technology to be adopted at J-MOX. JNFL, based on a consideration that J-MOX fuel fabrication comes commercial scale production, decided an introduction of MIMAS technology into J-MOX main process, from powder mixing through pellet sintering, well recognized as mostly important to achieve good quality product of MOX fuel, since it achieves good results in both fuel production and actual reactor irradiation in Europe, but there is one difference that JNFL is going to use Japanese typical plutonium and uranium mixed oxide powder converted with the micro-wave heating direct de-nitration technology (hereafter, MH-MOX) but normal PuO{sub 2} of European MOX fuel fabricators. Therefore, in order to evaluate the suitability of the MH-MOX powder for the MIMAS process, JNFL manufactured small scale test equipment, and implemented a powder mixing evaluation test up until JFY 2003. As a result, the suitability of the MH-MOX powder for the MIMAS process was positively evaluated and confirmed It was followed by a five-years test named an 'actual test' from JFY 2003 to JFY 2007, which aims at demonstrating good operation and maintenance of process equipment as well as obtaining good quality of MOX fuel pellets. (authors)

Osaka, Shuichi; Kurita, Ichiro; Deguchi, Morimoto [Japan Nuclear Fuel Ltd., 4-108, Aza okitsuke, oaza obuchi rokkasyo-mura, kamikita-gun, Aomori 039-3212 (Japan); Ito, Masanori [Japan Atomic Energy Agency, 4-33 Muramatu, Tokai-mura, Ibaraki 319-1194 (Japan); Goto, Masakazu [Nuclear Fuel Industries, Ltd., 14-10, Mita 3-chome, Minato-ku, Tokyo 108-0073 (Japan)

2007-07-01T23:59:59.000Z

278

Alaska Village Electric Load Calculator  

DOE Green Energy (OSTI)

As part of designing a village electric power system, the present and future electric loads must be defined, including both seasonal and daily usage patterns. However, in many cases, detailed electric load information is not readily available. NREL developed the Alaska Village Electric Load Calculator to help estimate the electricity requirements in a village given basic information about the types of facilities located within the community. The purpose of this report is to explain how the load calculator was developed and to provide instructions on its use so that organizations can then use this model to calculate expected electrical energy usage.

Devine, M.; Baring-Gould, E. I.

2004-10-01T23:59:59.000Z

279

Neutronics calculation, dosimetry analysis and gas measurements of the first SINQ target irradiation experiment, STIP-I  

SciTech Connect

To precisely determine the damage, helium and hydrogen production in the specimens irradiated in SINQ Target-3, calculations with MCNPX code, dosimetry analysis and helium/hydrogen measurements have been performed. The MCNPX calculations agree well the former calculations with the LAHET code. The preliminary analysis of dosimetry foils demonstrates that the unfolded proton and neutron spectra at limited positions are close to calculated values. In general the measured He concentrations are consistent with the calculated values. Some discrepancy between the measured and the calculated is believed due to the actual proton beam geometry is different from that used for the calculation. The hydrogen concentration measured in samples irradiated at<~100C is close to the calculated. The differences between the measured and calculated values for samples irradiated at higher temperatures can be attributed largely to the effects of hydrogen diffusion. The results indicate that at>~250C, only small amount of hydrogen remains in the samples.

Dai, Yong (Paul Scherrer Institute); Foucher, Y (Paul Scherrer Institute, Switzerland); James, M R. (Los Alamos National Laboratory); Oliver, Brian M. (BATTELLE (PACIFIC NW LAB))

2003-05-15T23:59:59.000Z

280

On Rayleigh Optical Depth Calculations  

Science Conference Proceedings (OSTI)

Many different techniques are used for the calculation of Rayleigh optical depth in the atmosphere. In some cases differences among these techniques can be important, especially in the UV region of the spectrum and under clean atmospheric ...

Barry A. Bodhaine; Norman B. Wood; Ellsworth G. Dutton; James R. Slusser

1999-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Local control of area-preserving maps  

E-Print Network (OSTI)

We present a method of control of chaos in area-preserving maps. This method gives an explicit expression of a control term which is added to a given area-preserving map. The resulting controlled map which is a small and suitable modification of the original map, is again area-preserving and has an invariant curve whose equation is explicitly known.

Cristel Chandre; Michel Vittot; Guido Ciraolo

2008-09-01T23:59:59.000Z

282

Performance-driven mapping for CPLD architectures  

Science Conference Proceedings (OSTI)

In this paper we present a performance-driven mapping algorithm, PLAmap, for CPLD architectures which consist of a large number of PLA-style logic cells. The primary goal of our mapping algorithm is to minimize the depth of the mapped circuit. Meanwhile, ... Keywords: CPLD, FPGA, PLA-style logic cells, delay optimization, technology mapping

Deming Chen; Jason Cong; Milos D. Ercegovac; Zhijun Huang

2001-02-01T23:59:59.000Z

283

Residential Census Maps - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Home >>Energy Users > Residential Home Page > Census Maps . U. S. Census Regions and Divisions: Contact: James ...

284

Property:CoverageMap | Open Energy Information  

Open Energy Info (EERE)

CoverageMap CoverageMap Jump to: navigation, search This is a property of type String. Pages using the property "CoverageMap" Showing 25 pages using this property. (previous 25) (next 25) A ALLETE Inc., d/b/a Minnesota Power Smart Grid Project + SmartGridMap-ALLETEMNPower.JPG + American Transmission Company LLC II Smart Grid Project + SmartGridMap-AmericanTransmissionII.JPG + American Transmission Company LLC Smart Grid Project + SmartGridMap-AmericanTransmission.JPG + Atlantic City Electric Company Smart Grid Project + SmartGridMap-AtlanticCityElectric.JPG + Avista Utilities Smart Grid Project + SmartGridMap-AvistaUtilities.JPG + B Baltimore Gas and Electric Company Smart Grid Project + SmartGridMap-BaltimoreGasElectric.JPG + Black Hills Power, Inc. Smart Grid Project + SmartGridMap-BlackHills.JPG +

285

BrainMap `95 workshop  

SciTech Connect

The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

1995-12-31T23:59:59.000Z

286

BENCH-SCALE STEAM REFORMING OF ACTUAL TANK 48H WASTE  

Science Conference Proceedings (OSTI)

Fluidized Bed Steam Reforming (FBSR) has been demonstrated to be a viable technology to remove >99% of the organics from Tank 48H simulant, to remove >99% of the nitrate/nitrite from Tank 48H simulant, and to form a solid product that is primarily carbonate based. The technology was demonstrated in October of 2006 in the Engineering Scale Test Demonstration Fluidized Bed Steam Reformer1 (ESTD FBSR) at the Hazen Research Inc. (HRI) facility in Golden, CO. The purpose of the Bench-scale Steam Reformer (BSR) testing was to demonstrate that the same reactions occur and the same product is formed when steam reforming actual radioactive Tank 48H waste. The approach used in the current study was to test the BSR with the same Tank 48H simulant and same Erwin coal as was used at the ESTD FBSR under the same operating conditions. This comparison would allow verification that the same chemical reactions occur in both the BSR and ESTD FBSR. Then, actual radioactive Tank 48H material would be steam reformed in the BSR to verify that the actual tank 48H sample reacts the same way chemically as the simulant Tank 48H material. The conclusions from the BSR study and comparison to the ESTD FBSR are the following: (1) A Bench-scale Steam Reforming (BSR) unit was successfully designed and built that: (a) Emulated the chemistry of the ESTD FBSR Denitration Mineralization Reformer (DMR) and Carbon Reduction Reformer (CRR) known collectively as the dual reformer flowsheet. (b) Measured and controlled the off-gas stream. (c) Processed real (radioactive) Tank 48H waste. (d) Met the standards and specifications for radiological testing in the Savannah River National Laboratory (SRNL) Shielded Cells Facility (SCF). (2) Three runs with radioactive Tank 48H material were performed. (3) The Tetraphenylborate (TPB) was destroyed to > 99% for all radioactive Bench-scale tests. (4) The feed nitrate/nitrite was destroyed to >99% for all radioactive BSR tests the same as the ESTD FBSR. (5) The radioactive Tank 48H DMR product was primarily made up of soluble carbonates. The three most abundant species were thermonatrite, [Na{sub 2}CO{sub 3} {center_dot} H{sub 2}O], sodium carbonate, [Na{sub 2}CO{sub 3}], and trona, [Na{sub 3}H(CO{sub 3}){sub 2} {center_dot} 2H{sub 2}O] the same as the ESTD FBSR. (6) Insoluble solids analyzed by X-Ray Diffraction (XRD) did not detect insoluble carbonate species. However, they still may be present at levels below 2 wt%, the sensitivity of the XRD methodology. Insoluble solids XRD characterization indicated that various Fe/Ni/Cr/Mn phases are present. These crystalline phases are associated with the insoluble sludge components of Tank 48H slurry and impurities in the Erwin coal ash. The percent insoluble solids, which mainly consist of un-burnt coal and coal ash, in the products were 4 to 11 wt% for the radioactive runs. (7) The Fe{sup +2}/Fe{sub total} REDOX measurements ranged from 0.58 to 1 for the three radioactive Bench-scale tests. REDOX measurements > 0.5 showed a reducing atmosphere was maintained in the DMR indicating that pyrolysis was occurring. (8) Greater than 90% of the radioactivity was captured in the product for all three runs. (9) The collective results from the FBSR simulant tests and the BSR simulant tests indicate that the same chemistry occurs in the two reactors. (10) The collective results from the BSR simulant runs and the BSR radioactive waste runs indicates that the same chemistry occurs in the simulant as in the real waste. The FBSR technology has been proven to destroy the organics and nitrates in the Tank 48H waste and form the anticipated solid carbonate phases as expected.

Burket, P; Gene Daniel, G; Charles Nash, C; Carol Jantzen, C; Michael Williams, M

2008-09-25T23:59:59.000Z

287

A q-deformed nonlinear map  

E-Print Network (OSTI)

A scheme of q-deformation of nonlinear maps is introduced. As a specific example, a q-deformation procedure related to the Tsallis q-exponential function is applied to the logistic map. Compared to the canonical logistic map, the resulting family of q-logistic maps is shown to have a wider spectrum of interesting behaviours, including the co-existence of attractors -- a phenomenon rare in one dimensional maps.

Ramaswamy Jaganathan; Sudeshna Sinha

2004-08-19T23:59:59.000Z

288

Table 12. Coal Prices to Electric Generating Plants, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Prices to Electric Generating Plants, Projected vs. Actual Coal Prices to Electric Generating Plants, Projected vs. Actual (nominal dollars per million Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2.03 2.17 2.33 2.52 2.73 2.99 AEO 1983 1.99 2.10 2.24 2.39 2.57 2.76 4.29 AEO 1984 1.90 2.01 2.13 2.28 2.44 2.61 3.79 AEO 1985 1.68 1.76 1.86 1.95 2.05 2.19 2.32 2.49 2.66 2.83 3.03 AEO 1986 1.61 1.68 1.75 1.83 1.93 2.05 2.19 2.35 2.54 2.73 2.92 3.10 3.31 3.49 3.68 AEO 1987 1.52 1.55 1.65 1.75 1.84 1.96 2.11 2.27 2.44 3.55 AEO 1989* 1.50 1.51 1.68 1.77 1.88 2.00 2.13 2.26 2.40 2.55 2.70 2.86 3.00 AEO 1990 1.46 1.53 2.07 2.76 3.7 AEO 1991 1.51 1.58 1.66 1.77 1.88 1.96 2.06 2.16 2.28 2.41 2.57 2.70 2.85 3.04 3.26 3.46 3.65 3.87 4.08 4.33 AEO 1992 1.54 1.61 1.66 1.75 1.85 1.97 2.03 2.14 2.26 2.44 2.55 2.69 2.83 3.00 3.20 3.40 3.58 3.78 4.01 AEO 1993 1.92 1.54 1.61 1.70

289

Visual Analytics for Roof Savings Calculator Ensembles  

SciTech Connect

The Roof Savings Calculator (RSC) has been deployed for DOE as an industry-consensus, web-based tool for easily running complex building energy simulations. These simulations allow both homeowners and experts to determine building-specific cost and energy savings for modern roof and attic technologies. Using a database of over 3 million RSC simulations for different combinations of parameters, we have built a visual analytics tool to assist in the exploration and identification of features in the data. Since the database contains multiple variables, both categorical and continuous, we employ a coordinated multi-view approach that allows coordinated feature exploration through multiple visualizations at once. The main component of our system, a parallel coordinates view, has been adapted to handle large-scale, mixed data types as are found in RSC simulations. Other visualizations include map coordinated plots, high dynamic range (HDR) line plot rendering, and an intuitive user interface. We demonstrate these techniques with several use cases that have helped identify software and parametric simulation issues.

Jones, Chad [University of California, Davis; New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Ma, Kwan-Liu [University of California, Davis

2012-01-01T23:59:59.000Z

290

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Geothermal...  

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

for maps has never been easier. A screen capture of the MapSearch Map view option Geothermal Maps These maps show existing and developing geothermal power plants, geothermal...

291

Modeling of Boehmite Leaching from Actual Hanford High-Level Waste Samples  

SciTech Connect

The Department of Energy plans to vitrify approximately 60,000 metric tons of high level waste sludge from underground storage tanks at the Hanford Nuclear Reservation. To reduce the volume of high level waste requiring treatment, a goal has been set to remove about 90 percent of the aluminum, which comprises nearly 70 percent of the sludge. Aluminum in the form of gibbsite and sodium aluminate can be easily dissolved by washing the waste stream with caustic, but boehmite, which comprises nearly half of the total aluminum, is more resistant to caustic dissolution and requires higher treatment temperatures and hydroxide concentrations. In this work, the dissolution kinetics of aluminum species during caustic leaching of actual Hanford high level waste samples is examined. The experimental results are used to develop a shrinking core model that provides a basis for prediction of dissolution dynamics from known process temperature and hydroxide concentration. This model is further developed to include the effects of particle size polydispersity, which is found to strongly influence the rate of dissolution.

Peterson, Reid A.; Lumetta, Gregg J.; Rapko, Brian M.; Poloski, Adam P.

2007-06-27T23:59:59.000Z

292

Actinide partitioning from actual Idaho chemical processing plant acidic tank waste using centrifugal contactors  

Science Conference Proceedings (OSTI)

The TRUEX process is being evaluated at the Idaho Chemical Processing Plant (ICPP) for the separation of the actinides from acidic radioactive wastes stored at the ICPP. These efforts have culminated in a recent demonstration of the TRUEX process with actual tank waste. This demonstration was performed using 24 stages of 2-cm diameter centrifugal contactors installed in a shielded hot cell at the ICPP Remote Analytical Laboratory. An overall removal efficiency of 99.97% was obtained for the actinides. As a result, the activity of the actinides was reduced from 457 nCi/g in the feed to 0.12 nCi/g in the aqueous raffinate, which is well below the U.S. NRC Class A LLW requirement of 10 nCi/g for non-TRU waste. Iron was partially extracted by the TRUEX solvent, resulting in 23% of the Fe exiting in the strip product. Mercury was also extracted by the TRUEX solvent (76%) and stripped from the solvent in the 0.25 M Na{sub 2}CO{sub 3} wash section.

Law, J.D.; Brewer, K.N.; Todd, T.A.

1997-10-01T23:59:59.000Z

293

Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado  

SciTech Connect

To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In NREL's report titled 'Assessing and Improving the Accuracy of Energy Analysis of Residential Buildings,' researchers propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparisons of predicted versus metered energy use and savings. In support of this research need, CARB evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. In this study, CARB seeks to improve the accuracy of modeling software while assessing retrofit measures to specifically determine which are most effective for large multifamily complexes in the cold climate region. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

Arena, L.; Williamson, J.

2013-11-01T23:59:59.000Z

294

Actual versus design performance of solar systems in the National Solar Data Network  

Science Conference Proceedings (OSTI)

This report relates field measured performance to the designer predicted performance. The field measured data was collected by the National Solar Data Network (NSDN) over a period of six years. Data from 25 solar systems was selected from a data pool of some 170 solar systems. The scope of the project extends beyond merely presenting comparisons of data. There is an attempt to provide answers which will move the solar industry forward. As a result of some industry and research workshops, several concerns arose which can be partially allayed by careful study of the NSDN data. These are: What types of failures occurred and why. How good was the design versus actual performance. Why was predicted performance not achieved in the field. Which components should be integrated with a system type for good performance. Since the designs span several years and since design philosophies are quite variable, the measured results were also compared to f-Chart 5.1 results. This comparison is a type of normalization in that all systems are modeled with the same process. An added benefit of this normalization is a further validation of the f-Chart model on a fairly large scale. The systems were modeled using equipment design parameters, measured loads, and f-Chart weather data from nearby cities.

Logee, T.L.; Kendall, P.W.

1984-09-01T23:59:59.000Z

295

Comparative Calculations of Solubility Equilibria  

Science Conference Proceedings (OSTI)

The uncertainties in calculated solubilities in the Na-F-PO{sub 4}-HPO{sub 4}-OH system. at 25 C for NaOH concentrations up to 5 mol/kg were assessed. These uncertainties were based on an evaluation of the range of values for the Gibbs energies of the solids. Comparative calculations using the Environmental Simulation Program (ESP) and SOLGASMIX indicated that the variation in activity coefficients with NaOH concentration is much greater in the ESP code than in SOLGASMIX. This resulted in ESP calculating a higher solubility in water and a lower solubility in NaOH concentrations above 1 mol/kg: There was a marked discrepancy in the solubilities of the pure components sodium fluoride and trisodium phosphate predicted by ESP and SOLGASMIX. In addition, different solubilities for these components were obtained using different options in ESP. Because of these observations, a Best Practices Guide for ESP will be assembled.

Beahm, E.C.

2000-07-25T23:59:59.000Z

296

Data Collection and Mapping | Open Energy Information  

Open Energy Info (EERE)

Data Collection and Mapping Data Collection and Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Data Collection and Mapping Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Field Techniques Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Bulk and trace element analysis of rocks, minerals, and sediments. Identify and document surface geology and mineralogy. Rapid and unambiguous identification of unknown minerals.[1] Stratigraphic/Structural: Locates active faults in the area of interest. Map fault and fracture patterns, kinematic information

297

Sandbag Carbon Offset Map | Open Energy Information  

Open Energy Info (EERE)

Sandbag Carbon Offset Map Sandbag Carbon Offset Map Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Sandbag Carbon Offset Map Agency/Company /Organization: Sandbag Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Forestry, Geothermal, Hydrogen, Industry, Solar, Wind Topics: Market analysis Resource Type: Maps, Software/modeling tools User Interface: Website Website: sandbag.org.uk/carbondata/cers Sandbag Carbon Offset Map Screenshot References: Sandbag Carbon Offset Map[1] Thinking about climate change can be a depressing occupation. It's a massive issue and personal actions like switching off lights and unplugging televisions can feel like small contributions. Background "Thinking about climate change can be a depressing occupation. It's a

298

Filtration and Leach Testing for PUREX Cladding Sludge and REDOX Cladding Sludge Actual Waste Sample Composites  

SciTech Connect

A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan (Barnes and Voke 2006). The test program was subdivided into logical increments. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Hanford Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Under test plan TP RPP WTP 467 (Fiskum et al. 2007), eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. Under this test plan, a waste testing program was implemented that included: • Homogenizing the archive samples by group as defined in the test plan. • Characterizing the homogenized sample groups. • Performing parametric leaching testing on each group for compounds of interest. • Performing bench-top filtration/leaching tests in the hot cell for each group to simulate filtration and leaching activities if they occurred in the UFP2 vessel of the WTP Pretreatment Facility. This report focuses on a filtration/leaching test performed using two of the eight waste composite samples. The sample groups examined in this report were the plutonium-uranium extraction (PUREX) cladding waste sludge (Group 3, or CWP) and reduction-oxidation (REDOX) cladding waste sludge (Group 4, or CWR). Both the Group 3 and 4 waste composites were anticipated to be high in gibbsite, thus requiring caustic leaching. WTP RPT 167 (Snow et al. 2008) describes the homogenization, characterization, and parametric leaching activities before benchtop filtration/leaching testing of these two waste groups. Characterization and initial parametric data in that report were used to plan a single filtration/leaching test using a blend of both wastes. The test focused on filtration testing of the waste and caustic leaching for aluminum, in the form of gibbsite, and its impact on filtration. The initial sample was diluted with a liquid simulant to simulate the receiving concentration of retrieved tank waste into the UFP2 vessel (< 10 wt% undissolved solids). Filtration testing was performed on the dilute waste sample and dewatered to a higher solids concentration. Filtration testing was then performed on the concentrated slurry. Afterwards, the slurry was caustic leached to remove aluminum present in the undissolved solid present in the waste. The leach was planned to simulate leaching conditions in the UFP2 vessel. During the leach, slurry supernate samples were collected to measure the dissolution rate of aluminum in the waste. After the slurry cooled down from the elevated leach temperature, the leach liquor was dewatered from the solids. The remaining slurry was rinsed and dewatered with caustic solutions to remove a majority of the dissolved aluminum from the leached slurry. The concentration of sodium hydroxide in the rinse solutions was high enough to maintain the solubility of the aluminum in the dewatered rinse solutions after dilution of the slurry supernate. Filtration tests were performed on the final slurry to compare to filtration performance before and after caustic leaching.

Shimskey, Rick W.; Billing, Justin M.; Buck, Edgar C.; Casella, Amanda J.; Crum, Jarrod V.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Hallen, Richard T.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Swoboda, Robert G.

2009-03-02T23:59:59.000Z

299

ACTUAL-WASTE TESTING OF ULTRAVIOLET LIGHT TO AUGMENT THE ENHANCED CHEMICAL CLEANING OF SRS SLUDGE  

SciTech Connect

In support of Savannah River Site (SRS) tank closure efforts, the Savannah River National Laboratory (SRNL) conducted Real Waste Testing (RWT) to evaluate Enhanced Chemical Cleaning (ECC), an alternative to the baseline 8 wt% oxalic acid (OA) chemical cleaning technology for tank sludge heel removal. ECC utilizes a more dilute OA solution (2 wt%) and an oxalate destruction technology using ozonolysis with or without the application of ultraviolet (UV) light. SRNL conducted tests of the ECC process using actual SRS waste material from Tanks 5F and 12H. The previous phase of testing involved testing of all phases of the ECC process (sludge dissolution, OA decomposition, product evaporation, and deposition tank storage) but did not involve the use of UV light in OA decomposition. The new phase of testing documented in this report focused on the use of UV light to assist OA decomposition, but involved only the OA decomposition and deposition tank portions of the process. Compared with the previous testing at analogous conditions without UV light, OA decomposition with the use of UV light generally reduced time required to reach the target of <100 mg/L oxalate. This effect was the most pronounced during the initial part of the decomposition batches, when pH was <4. For the later stages of each OA decomposition batch, the increase in OA decomposition rate with use of the UV light appeared to be minimal. Testing of the deposition tank storage of the ECC product resulted in analogous soluble concentrations regardless of the use or non-use of UV light in the ECC reactor.

Martino, C.; King, W.; Ketusky, E.

2012-07-10T23:59:59.000Z

300

STEAM REFORMING TECHNOLOGY DEMONSTRATION FOR THE DESTRUCTION OF ORGANICS ON ACTUAL DOE SAVANNAH RIVER SITE TANK 48H WASTE 9138  

SciTech Connect

This paper describes the design of the Bench-scale Steam Reformer (BSR); a processing unit for demonstrating steam reforming technology on actual radioactive waste [1]. It describes the operating conditions of the unit used for processing a sample of Savannah River Site (SRS) Tank 48H waste. Finally, it compares the results from processing the actual waste in the BSR to processing simulant waste in the BSR to processing simulant waste in a large pilot scale unit, the Fluidized Bed Steam Reformer (FBSR), operated at Hazen Research Inc. in Golden, CO. The purpose of this work was to prove that the actual waste reacted in the same manner as the simulant waste in order to validate the work performed in the pilot scale unit which could only use simulant waste.

Burket, P

2009-02-24T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

AGING FACILITY CRITICALITY SAFETY CALCULATIONS  

Science Conference Proceedings (OSTI)

The purpose of this design calculation is to revise and update the previous criticality calculation for the Aging Facility (documented in BSC 2004a). This design calculation will also demonstrate and ensure that the storage and aging operations to be performed in the Aging Facility meet the criticality safety design criteria in the ''Project Design Criteria Document'' (Doraswamy 2004, Section 4.9.2.2), and the functional nuclear criticality safety requirement described in the ''SNF Aging System Description Document'' (BSC [Bechtel SAIC Company] 2004f, p. 3-12). The scope of this design calculation covers the systems and processes for aging commercial spent nuclear fuel (SNF) and staging Department of Energy (DOE) SNF/High-Level Waste (HLW) prior to its placement in the final waste package (WP) (BSC 2004f, p. 1-1). Aging commercial SNF is a thermal management strategy, while staging DOE SNF/HLW will make loading of WPs more efficient (note that aging DOE SNF/HLW is not needed since these wastes are not expected to exceed the thermal limits form emplacement) (BSC 2004f, p. 1-2). The description of the changes in this revised document is as follows: (1) Include DOE SNF/HLW in addition to commercial SNF per the current ''SNF Aging System Description Document'' (BSC 2004f). (2) Update the evaluation of Category 1 and 2 event sequences for the Aging Facility as identified in the ''Categorization of Event Sequences for License Application'' (BSC 2004c, Section 7). (3) Further evaluate the design and criticality controls required for a storage/aging cask, referred to as MGR Site-specific Cask (MSC), to accommodate commercial fuel outside the content specification in the Certificate of Compliance for the existing NRC-certified storage casks. In addition, evaluate the design required for the MSC that will accommodate DOE SNF/HLW. This design calculation will achieve the objective of providing the criticality safety results to support the preliminary design of the Aging Facility. As the ongoing design evolution remains fluid, the results from this design calculation should be evaluated for applicability to any new or modified design. Consequently, the results presented in this document are limited to the current design. The information contained in this document was developed by Environmental and Nuclear Engineering and is intended for the use of Design and Engineering in its work regarding the various criticality related activities performed in the Aging Facility. Yucca Mountain Project personnel from Environmental and Nuclear Engineering should be consulted before the use of the information for purposes other than those stated herein or use by individuals other than authorized personnel in Design and Engineering.

C.E. Sanders

2004-09-10T23:59:59.000Z

302

Ocean Map Regional | Data.gov  

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

Regional Regional Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Featured Maps The following maps are from data sources that are regional in scope. These are some of the data sources available in the Ocean Community that are most useful in the identified region. This includes several of the human use atlases now available. Regional/State Maps .view-map-gallery .views-row { float: inherit; margin: 0; } .map-align { float: left; margin: 0 20px; } .map-gallery-thumbnail{width:202px;height:133px;} .pane-map-gallery h2.pane-title { color: #284A78 !important; font: bold 16px Georgia,"Times New Roman",Serif !important; margin-left: 25px !important; } Oregon Submarine Cables Marine Reserves and Protected areas of Oregon

303

A Searchable Knowledge Map Based on Ontology  

Science Conference Proceedings (OSTI)

Knowledge visualization and retrieval are the key techniques to implement effective knowledge management. Traditional research on knowledge map emphasizes on building global view of knowledge base, but ignores its support to knowledge retrieval. In this ... Keywords: knowledge map, search, ontology

Qi Xiong; Yingling Wang; Jianmei Guo; Guilin Wu

2008-12-01T23:59:59.000Z

304

Google Crisis Map for Hurricane Sandy  

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

The Google Crisis Map has power outage information, shelter and recovery centers, local emergency Twitter feeds, FEMA disaster declared areas and more. | This map is created and maintained by...

305

Acoustic Mapping within the Heart  

Science Conference Proceedings (OSTI)

A cylindrical bariumtitanate element has been placed at the distal end of a specially designed catheter and used in studies of heartsounds of dogs and humans. The heartsounds have been recorded with the sensitive catheter located directly in the heart and in the pulmonary artery. The location of the catheter at each mapping station has been monitored with x?ray photographs; simultaneous electrocardiogram and wide band sounds were recorded on a photographic galvanometer. The sounds were recorded on tape with several filtercharacteristics

John D. Wallace; James R. Brown Jr.; David H. Lewis; George W. Deitz

1956-01-01T23:59:59.000Z

306

Geographic Resource Map of Frozen Pipe Probabilities  

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

Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

307

An inverse theorem on 'economic' maps  

SciTech Connect

We prove that the bound from the theorem on 'economic' maps is best possible. Namely, for m>n+d we construct a map from an n-dimensional simplex to an m-dimensional Euclidean space for which (and for any close map) there exists a d-dimensional plane whose preimage has cardinality not less than the upper bound [(dn+n+1)/(m-n-d)]+d from the theorem on 'economic' maps. Bibliography: 16 titles.

Bogataya, Svetlana I; Bogatyi, Semeon A; Kudryavtseva, Elena A

2012-04-30T23:59:59.000Z

308

DEMONSTRATION OF THE GLYCOLIC-FORMIC FLOWSHEET IN THE SRNL SHIELDED CELLS USING ACTUAL WASTE  

SciTech Connect

Glycolic acid was effective at dissolving many metals, including iron, during processing with simulants. Criticality constraints take credit for the insolubility of iron during processing to prevent criticality of fissile materials. Testing with actual waste was needed to determine the extent of iron and fissile isotope dissolution during Chemical Process Cell (CPC) processing. The Alternate Reductant Project was initiated by the Savannah River Remediation (SRR) Company to explore options for the replacement of the nitric-formic flowsheet used for the CPC at the Defense Waste Processing Facility (DWPF). The goals of the Alternate Reductant Project are to reduce CPC cycle time, increase mass throughput of the facility, and reduce operational hazards. In order to achieve these goals, several different reductants were considered during initial evaluations conducted by Savannah River National Laboratory (SRNL). After review of the reductants by SRR, SRNL, and Energy Solutions (ES) Vitreous State Laboratory (VSL), two flowsheets were further developed in parallel. The two flowsheet options included a nitric-formic-glycolic flowsheet, and a nitric-formic-sugar flowsheet. As of July 2011, SRNL and ES/VSL have completed the initial flowsheet development work for the nitric-formic-glycolic flowsheet and nitric-formic-sugar flowsheet, respectively. On July 12th and July 13th, SRR conducted a Systems Engineering Evaluation (SEE) to down select the alternate reductant flowsheet. The SEE team selected the Formic-Glycolic Flowsheet for further development. Two risks were identified in SEE for expedited research. The first risk is related to iron and plutonium solubility during the CPC process with respect to criticality. Currently, DWPF credits iron as a poison for the fissile components of the sludge. Due to the high iron solubility observed during the flowsheet demonstrations with simulants, it was necessary to determine if the plutonium in the radioactive sludge slurry demonstrated the same behavior. The second risk is related to potential downstream impacts of glycolate on Tank Farm processes. The downstream impacts will be evaluated by a separate research team. Waste Solidification Engineering (WSE) has requested a radioactive demonstration of the Glycolic-Formic Flowsheet with radioactive sludge slurry be completed in the Shielded Cells Facility of the SRNL. The Shielded Cells demonstration only included a Sludge Receipt and Adjustment Tank (SRAT) cycle, and not a Slurry Mix Evaporator (SME) cycle or the co-processing of salt products. Sludge Batch 5 (SB5) slurry was used for the demonstration since it was readily available, had been previously characterized, and was generally representative of sludges being processing in DWPF. This sample was never used in the planned Shielded Cells Run 7 (SC-7).

Lambert, D.; Pareizs, J.; Click, D.

2011-11-07T23:59:59.000Z

309

NREL: Power Technologies Energy Data Book - Calculators  

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

Databook Home More Search Options Search Site Map Featured Links Biomass Energy Data Book Buildings Energy Data Book Hydrogen Energy Data Book Transportation Energy Data Book...

310

Sampling of Stochastic Input Parameters for Rockfall Calculations and for Structural Response Calculations Under Vibratory Ground Motion  

Science Conference Proceedings (OSTI)

The purpose of this scientific analysis is to define the sampled values of stochastic (random) input parameters for (1) rockfall calculations in the lithophysal and nonlithophysal zones under vibratory ground motions, and (2) structural response calculations for the drip shield and waste package under vibratory ground motions. This analysis supplies: (1) Sampled values of ground motion time history and synthetic fracture pattern for analysis of rockfall in emplacement drifts in nonlithophysal rock (Section 6.3 of ''Drift Degradation Analysis'', BSC 2004 [DIRS 166107]); (2) Sampled values of ground motion time history and rock mechanical properties category for analysis of rockfall in emplacement drifts in lithophysal rock (Section 6.4 of ''Drift Degradation Analysis'', BSC 2004 [DIRS 166107]); (3) Sampled values of ground motion time history and metal to metal and metal to rock friction coefficient for analysis of waste package and drip shield damage to vibratory motion in ''Structural Calculations of Waste Package Exposed to Vibratory Ground Motion'' (BSC 2004 [DIRS 167083]) and in ''Structural Calculations of Drip Shield Exposed to Vibratory Ground Motion'' (BSC 2003 [DIRS 163425]). The sampled values are indices representing the number of ground motion time histories, number of fracture patterns and rock mass properties categories. These indices are translated into actual values within the respective analysis and model reports or calculations. This report identifies the uncertain parameters and documents the sampled values for these parameters. The sampled values are determined by GoldSim V6.04.007 [DIRS 151202] calculations using appropriate distribution types and parameter ranges. No software development or model development was required for these calculations. The calculation of the sampled values allows parameter uncertainty to be incorporated into the rockfall and structural response calculations that support development of the seismic scenario for the Total System Performance Assessment for the License Application (TSPA-LA). The results from this scientific analysis also address project requirements related to parameter uncertainty, as specified in the acceptance criteria in ''Yucca Mountain Review Plan, Final Report'' (NRC 2003 [DIRS 163274]). This document was prepared under the direction of ''Technical Work Plan for: Regulatory Integration Modeling of Drift Degradation, Waste Package and Drip Shield Vibratory Motion and Seismic Consequences'' (BSC 2004 [DIRS 170528]) which directed the work identified in work package ARTM05. This document was prepared under procedure AP-SIII.9Q, ''Scientific Analyses''. There are no specific known limitations to this analysis.

M. Gross

2004-09-01T23:59:59.000Z

311

Category:Map Files | Open Energy Information  

Open Energy Info (EERE)

image files, and where available, links to KMZ image files, and where available, links to KMZ sources used to generate the image files. Add.png Add a new Map File Subcategories This category has the following 4 subcategories, out of 4 total. M [×] Map Image Files‎ [×] Map PDF Files‎ N [×] NREL Map Files‎ 1 pages S [×] SWERA Map Files‎ Media in category "Map Files" The following 200 files are in this category, out of 1,687 total. (previous 200) (next 200) Australia-Solar-Map.png Australia-Solar-Map.png 55 KB Banglmetst 221.pdf Banglmetst 221.pdf 5.42 MB Black.Warrior.Basin usgs.map.pdf Black.Warrior.Basin us... 148 KB BOEMRE atlantic.OCS.multiple.use.map.2003.pdf BOEMRE atlantic.OCS.mu... 3.06 MB BOEMRE lease.platforms.santa.barb.map.5.2010.pdf BOEMRE lease.platforms... 1.41 MB BOEMRE OCS.oil.gas.2007-12.map.pdf

312

Guidelines for Mapping Requirements to Technologies  

Science Conference Proceedings (OSTI)

This report describes in a concise format the IntelliGrid methodology for determining appropriate technologies to meet a given set of system requirements for advanced metering infrastructures (AMI). The process consists of three steps: 1) map technologies to functional areas of AMI, 2) map requirements to components and, therefore, functional areas of AMI, and 3) map individual requirements to technologies.

2008-06-17T23:59:59.000Z

313

Simultaneous Localization, Mapping and Moving Object Tracking  

Science Conference Proceedings (OSTI)

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both simultaneous localization and mapping (SLAM) in dynamic environments and detecting and tracking these dynamic objects. In this paper, a mathematical framework is ... Keywords: detection, localization, mapping, mobile robotics, robotic perception, tracking

Chieh-Chih Wang; Charles Thorpe; Sebastian Thrun; Martial Hebert; Hugh Durrant-Whyte

2007-09-01T23:59:59.000Z

314

MARLA: MapReduce for Heterogeneous Clusters  

Science Conference Proceedings (OSTI)

MapReduce has gradually become the framework of choice for "big data". The MapReduce model allows for efficient and swift processing of large scale data with a cluster of compute nodes. However, the efficiency here comes at a price. The performance of ... Keywords: MapReduce, MARLA, MARIANE, HADOOP

Zacharia Fadika; Elif Dede; Jessica Hartog; Madhusudhan Govindaraju

2012-05-01T23:59:59.000Z

315

Measuring students' information skills through concept mapping  

Science Conference Proceedings (OSTI)

This paper seeks to develop a methodology that will discover, specify and measure studentsâ?? abilities and skills in creating concept maps. Because competencies are the key factor in higher education, the paper analyzes the role of concept maps ... Keywords: competencies, concept maps, information literacy, information organization, skills

Maria Pinto; Anne-Vinciane Doucet; Andrés Fernández-Ramos

2010-08-01T23:59:59.000Z

316

Geothermal gradient map of the United States  

Science Conference Proceedings (OSTI)

A geothermal gradient map is needed in order to determine the hot dry rock (HDR) geothermal resource of the United States. Based on published and unpublished data (including new measurements) the HDR program will produce updated gradient maps annually, to be used as a tool for resource evaluation and exploration. The 1980 version of this map is presented.

Kron, A.; Heiken, G.

1980-01-01T23:59:59.000Z

317

Wholesale power price maps reflect real-time constraints ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

318

Google Crisis Map for Hurricane Sandy | Department of Energy  

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

Map for Hurricane Sandy Google Crisis Map for Hurricane Sandy The Google Crisis Map has power outage information, shelter and recovery centers, local emergency Twitter feeds,...

319

Smart Grid Investment Grants: Map of Projects | Department of...  

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

Grants: Map of Projects Smart Grid Investment Grants: Map of Projects Map showing the distribution of project types awarded across the United States through the Smart Grid...

320

NERSC Calculations Provide Independent Confirmation of Global...  

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

NERSC Calculations Provide Independent Confirmation of Global Land Warming Since 1901 NERSC Calculations Provide Independent Confirmation of Global Land Warming Since 1901...

Note: This page contains sample records for the topic "maps calculated actual" 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

Federal Energy Management Program: Energy Savings Calculator...  

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

Savings Calculator for Commercial Boilers (Closed Loop, Space Heating Applications Only) This cost calculator is a screening tool that estimates a product's lifetime energy cost...

322

Hybrid Car Calculator | Open Energy Information  

Open Energy Info (EERE)

Hybrid Car Calculator Jump to: navigation, search Tool Summary Name: Hybrid Car Calculator AgencyCompany Organization: New American Dream Phase: "Evaluate Options and Determine...

323

Subsurface fracture mapping from geothermal wellbores. Final report  

DOE Green Energy (OSTI)

To advance the state-of-the-art in Hot Dry Rock technology, and evaluation is made of (1) the use of both electromagnetic and acoustic radar to map far-field fractures, (2) the use of more than twenty different conventional well logging tools to map borehole-fracture intercepts, (3) the use of magnetic dipole ranging to determine the relative positions of the injection well and the production well within the fractured zone, (4) the use of passive microseismic methods to determine the orientation and extent of hydraulic fractures, and (5) the application of signal processing techniques to fracture mapping including tomography, holography, synthetic aperture, image reconstruction, and the relative importance of phase and amplitude information. It is found that according to calculations, VHF backscatter radar has the potential for mapping fractures within a distance of 50 +- 20 meters from the wellbore. A new technique for improving fracture identification is presented. The range of acoustic radar is five to seven times greater than that of VHF radar when compared on the basis of equal resolution, i.e., equal wavelengths. Analyses of extant data indicate that when used synergistically the (1) caliper, (2) resistivity dipmeter, (3) televiewer, (4) television, (5) impression packer, and (6) acoustic transmission are useful for mapping borehole-fracture intercepts. A new model of hydraulic fracturing is presented which indicates that a hydraulic fracture is dynamically unstable; consequently, improvements in locating the crack tip may be possible. The importance of phase in signal processing is stressed and those techniques which employ phase data are emphasized for field use.

Hartenbaum, B.A.; Rawson, G.

1983-08-01T23:59:59.000Z

324

Wind Resource Map: Mexico | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Map: Mexico Wind Resource Map: Mexico Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Resource Map: Mexico Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.altestore.com/howto/Reference-Materials/Wind-Resource-Map-Mexico/a Equivalent URI: cleanenergysolutions.org/content/wind-resource-map-mexico,http://clean Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is on-shore wind resource map for rural power applications in Mexico. The map can be used to aid in appropriate siting of wind power installations. Please note that the wind speed classes are taken at 30 m (100 feet [ft]), instead of the usual 10 m (33 ft). Each wind power class should span two power densities. For example, Wind Power Class = 3

325

Energy Calculator- Common Units and Conversions  

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

Energy Calculator - Common Units and Conversions Energy Calculator - Common Units and Conversions Calculators for Energy Used in the United States: Coal Electricity Natural Gas Crude Oil Gasoline Diesel & Heating Oil Coal Conversion Calculator Short Tons Btu Megajoules Metric Tons Clear Calculate 1 Short Ton = 20,169,000 Btu (based on U.S. consumption, 2007) Electricity Conversion Calculator KilowattHours Btu Megajoules million Calories Clear Calculate 1 KilowattHour = 3,412 Btu Natural Gas Conversion Calculator Cubic Feet Btu Megajoules Cubic Meters Clear Calculate 1 Cubic Foot = 1,028 Btu (based on U.S. consumption, 2007); 1 therm = 100,000 Btu; 1 terajoule = 1,000,000 megajoules Crude Oil Conversion Calculator Barrels Btu Megajoules Metric Tons* Clear Calculate 1 Barrel = 42 U.S. gallons = 5,800,000 Btu (based on U.S. consumption,

326

Qualitative evaluation of the accuracy of maps for release of hazardous materials.  

Science Conference Proceedings (OSTI)

The LinguisticBelief%C2%A9 software tool developed by Sandia National Laboratories was applied to provide a qualitative evaluation of the accuracy of various maps that provide information on releases of hazardous material, especially radionuclides. The methodology, %E2%80%9CUncertainty for Qualitative Assessments,%E2%80%9D includes uncertainty in the evaluation. The software tool uses the mathematics of fuzzy sets, approximate reasoning, and the belief/ plausibility measure of uncertainty. SNL worked cooperatively with the Remote Sensing Laboratory (RSL) and the National Atmospheric Release Advisory Center (NARAC) at Lawrence Livermore National Laboratory (LLNL) to develop models for three types of maps for use in this study. SNL and RSL developed the maps for %E2%80%9CAccuracy Plot for Area%E2%80%9D and %E2%80%9CAerial Monitoring System (AMS) Product Confidence%E2%80%9D. SNL and LLNL developed the %E2%80%9CLLNL Model%E2%80%9D. For each of the three maps, experts from RSL and LLNL created a model in the LinguisticBelief software. This report documents the three models and provides evaluations of maps associated with the models, using example data. Future applications will involve applying the models to actual graphs to provide a qualitative evaluation of the accuracy of the maps, including uncertainty, for use by decision makers. A %E2%80%9CQuality Thermometer%E2%80%9D technique was developed to rank-order the quality of a set of maps of a given type. A technique for pooling expert option from different experts was provided using the PoolEvidence%C2%A9 software.

Darby, John L.; Marianno, Craig [National Security Technologies, Las Vegas, NV] National Security Technologies, Las Vegas, NV

2008-08-01T23:59:59.000Z

327

Geologic mapping of tunnels using photogrammetry: Camera and target positioning  

SciTech Connect

A photogrammetric method has been developed by the US Geological Survey and the US Bureau of Reclamation for the use in geologic mapping of tunnels (drifts). The method requires photographing the tunnel walls and roof with a calibrated small-format camera to obtain stereo pairs of photos which are then oriented in an analytical stereo plotter for measurement of geologic features. The method was tested in G-tunnel at Rainier Mesa on the Nevada Test Site. Calculations necessary to determine camera and target positions and problems encountered during testing were used to develop a set of generic formulas that can be applied to any tunnel. 7 figs.

Coe, J.A. [Geological Survey, Denver, CO (United States); Dueholm, K.S. [Danmarks Tekniske Hoejskole, Lyngby (Denmark). Inst. of Surveying and Photogrammetry

1991-09-01T23:59:59.000Z

328

Multi-Dimensional mSUGRA Likelihood Maps  

E-Print Network (OSTI)

Kingdom We calculate the likelihood map in the full 7 dimensional parameter space of the minimal super- symmetric standard model (MSSM) assuming universal boundary conditions on the supersymmetry breaking terms. Simultaneous variations of m0, A0, M1/2, tan... ratio of B0s ? µ+µ? and for m?˜ ?m?01 . An upper limit of 2×10 ?8 on this branching ratio might be achieved at the Tevatron, and would rule out 29% of the currently allowed likelihood. If one allows for non thermal-neutralino components of dark matter...

Allanach, B C; Lester, Christopher G

2006-01-01T23:59:59.000Z

329

Site Map | Advanced Photon Source  

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

Welcome Welcome Visitor Information Job Openings Apply for Beam Time Machine Status | Schedule Conferences Seminars & Meetings Publications Safety and Training Construction Schedule Find People Organization Charts Email | WebVPN | Intranet APS Conference Rooms Suggestion Box Document Central Argonne Guest House external link Argonne Accelerator Inst. external link National User Facility Org. external link lightsources.org external link Facebook Twitter YouTube Wikipedia Site Map Looking for something else? Try a site search or contact webmaster for assistance. About Welcome Overview Visiting the APS Mission and Goals Organization Charts Committees Job Openings User Information For Prospective Users For New Users For Current Users For Administrators Find a Beamline Contacts Calendars Community

330

Approach for Calculating OE Benefits  

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

Reliability Reliability U.S. Department of Energy - 1000 Independence Ave., SW Washington, DC 20585 2007 Electricity Delivery and Energy Reliability Joe Paladino October 29, 2007 Approach for Calculating OE Benefits Challenges * Established benefits methodologies (e.g., NEMS and MARKAL) do not address some of the major benefits that OE's program will provide (e.g. reliability). * Much of OE's program is about transforming the way the T&D infrastructure operates rather than replacing components: - Some technologies need a high penetration or must be deployed as an entire system to yield benefits (e.g. PMUs or Distribution Automation). - Some programs within OE are not developing "widgets" that can be easily counted. - OE is developing tools/methodologies or funding demonstrations that

331

Shielding calculations at dismantled synchrocyclotron  

SciTech Connect

The Space Radiation Effects Laboratory located in Newport News, Virginia, was operated by the College of William and Mary for the National Aeronautics and Space Administration. A synchrocyclotron which was formerly in operation in this building was removed in 1980. At several locations, the scattered radiation caused an induced radioactivity within the walls of the cyclotron room. A radiological survey has been performed to determine the amount of residual radioactivity on the walls. Calculations were performed to determine the thickness of the concrete walls and floor for shielding the residual radiation in the cyclotron room. Recommendations are made to minimize exposures from the residual radioactivity on the walls and floor of the cyclotron room to potential occupants working in the building. 19 refs., 1 fig., 2 tabs.

Yalcintas, M.G.

1987-01-01T23:59:59.000Z

332

Power Line Calculator for DOS  

Science Conference Proceedings (OSTI)

The Power Line Calculator (PLC) for DOS, version 1.0, is a program that describes the electrical characteristics of a transmission or distribution system given user-defined input. This input may consist of a combination of operating currents and phases, symmetric components, power factor, and real or reactive power. The program also allows the user to designate whether currents are present on the system neutral or in the ground. The PLC assumes that any value entered by the user remains fixed (e.g., phase current, power factor), and for underdetermined systems, basic default assumptions are incorporated: the power factor is held at or near 1.0, the net phase current is kept at or near zero, and the phase conductor currents are kept balanced. The program operates under PC/MS-DOS version 3.3 or later, and the output is available in both tabular and graphic formats.

Silva, J.M. (Enertech Consultants, Campbell, CA (United States))

1992-11-01T23:59:59.000Z

333

FLAG-SGH Sedov calculations  

SciTech Connect

We did not run with a 'cylindrically painted region'. However, we did compute two general variants of the original problem. Refinement studies where a single zone at each level of refinement contains the entire internal energy at t=0 or A 'finite' energy source which has the same physical dimensions as that for the 91 x 46 mesh, but consisting of increasing numbers of zones with refinement. Nominal mesh resolution: 91 x 46. Other mesh resolutions: 181 x 92 and 361 x 184. Note, not identical to the original specification. To maintain symmetry for the 'fixed' energy source, the mesh resolution was adjusted slightly. FLAG Lagrange or full (Eulerian) ALE was used with various options for each simulation. Observation - for either Lagrange or ALE, point or 'fixed' source, calculations converge on density and pressure with mesh resolution, but not energy, (not vorticity either).

Fung, Jimmy [Los Alamos National Laboratory; Schofield, Sam [LLNL; Shashkov, Mikhail J. [Los Alamos National Laboratory

2012-06-25T23:59:59.000Z

334

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

335

Alternative Fuels Data Center: Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Vehicle Cost Vehicle Cost Calculator to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator on AddThis.com... Vehicle Cost Calculator Vehicle Cost Calculator This tool uses basic information about your driving habits to calculate total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Also

336

Energy Input Output Calculator | Open Energy Information  

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

337

Development and Validation of High-Resolution State Wind Resource Maps for the United States  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has coordinated the development and validation of high-resolution state wind resource maps for much of the United States. The majority of these maps were produced for NREL by TrueWind Solutions (now AWS Truewind [AWST]) based in Albany, New York, using its proprietary MesoMap system. AWST's system uses a version of a numerical mesoscale weather prediction model as the basis for calculating the wind resource and important wind flow characteristics. The independent validation project was a cooperative activity among NREL, AWST, and private meteorological consultants. This paper describes the mapping and validation approach and results and discusses the technical modeling issues encountered during the project.

Elliott, D.; Schwartz, M.

2005-07-01T23:59:59.000Z

338

HRA Calculator Version 4.2  

Science Conference Proceedings (OSTI)

HRA Calculator analyzes and calculates human error probabilities in support of probabilistic risk assessments. HRA Calculator takes a 8220toolboxapproach that uses a variety of HRA methods. The PRA Tools / HRA Calculator User Group was formed in 2000 to address the industryneed for HRA tools and to encourage consistency in HRA results. Version 4.2 adds value by expanding the HRA Calculator methods applied, overcoming past limitations on particular parameters, improving the dependency analysis features, ...

2010-11-19T23:59:59.000Z

339

HRA Calculator, Version 4.21 DEMO  

Science Conference Proceedings (OSTI)

HRA Calculator analyzes and calculates human error probabilities in support of probabilistic risk assessments. HRA Calculator takes a “toolbox” approach that uses a variety of HRA methods. The PRA Tools / HRA Calculator User Group was formed in 2000 to address the industry’s need for HRA tools and to encourage consistency in HRA results. Version 4.21 adds value by expanding the HRA Calculator methods applied, overcoming past limitations on particular parameters, improving the ...

2013-03-07T23:59:59.000Z

340

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.

Note: This page contains sample records for the topic "maps calculated actual" 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

Mapping Tectonic Stress Using Earthquakes  

SciTech Connect

An earthquakes occurs when the forces acting on a fault overcome its intrinsic strength and cause it to slip abruptly. Understanding more specifically why earthquakes occur at particular locations and times is complicated because in many cases we do not know what these forces actually are, or indeed what processes ultimately trigger slip. The goal of this study is to develop, test, and implement a Bayesian method of reliably determining tectonic stresses using the most abundant stress gauges available - earthquakes themselves.Existing algorithms produce reasonable estimates of the principal stress directions, but yield unreliable error bounds as a consequence of the generally weak constraint on stress imposed by any single earthquake, observational errors, and an unavoidable ambiguity between the fault normal and the slip vector.A statistical treatment of the problem can take into account observational errors, combine data from multiple earthquakes in a consistent manner, and provide realistic error bounds on the estimated principal stress directions.We have developed a realistic physical framework for modelling multiple earthquakes and show how the strong physical and geometrical constraints present in this problem allow inference to be made about the orientation of the principal axes of stress in the earth's crust.

Arnold, Richard; Townend, John; Vignaux, Tony [Victoria University of Wellington, PO Box 600, Wellington (New Zealand)

2005-11-23T23:59:59.000Z

342

Southwest Area Corridor Map | Department of Energy  

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

Map DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 FACT SHEET: Designation of National Interest Electric...

343

Southwest Area Corridor Map | Department of Energy  

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

Map DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 Proposed Energy Transport Corridors: West-wide energy...

344

Site map | National Nuclear Security Administration  

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

map | National Nuclear Security Administration map | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > Site map Site map Front page Front page of National Nuclear Security Administration NNSA Site Navigation Our Mission Managing the Stockpile Stockpile Stewardship Program Quarterly Experiments Dismantlement and Disposition Weapons NPT Compliance

345

Mapping Particle Charges in Battery Electrodes  

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

Mapping Particle Charges in Battery Electrodes Print The deceivingly simple appearance of batteries masks their chemical complexity. A typical lithium-ion battery in a cell phone...

346

Mapping Diffuse Seismicity for Geothermal Reservoir Management...  

Open Energy Info (EERE)

Facebook icon Twitter icon Mapping Diffuse Seismicity for Geothermal Reservoir Management with Matched Field Processing Geothermal Lab Call Project Jump to: navigation,...

347

list-view-maps | Data.gov  

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

Where Does my Money Go? Average categorical breakdown of annual US residential energy costs. Maps 10312011 What Drives Crude Oil Prices? Graphic exploring the relation of oil...

348

Maps: Exploration, Resources, Reserves, and Production - Energy ...  

U.S. Energy Information Administration (EIA)

Granite Wash Play, Texas and Oklahoma: United States Shale Oil Maps: Bakken Shale Play, Williston Basin, North Dakota, Montana, Saskatchewan & Manitoba Updated 3/20/2011:

349

Laser Mapping of Carbon Bake Furnaces  

Science Conference Proceedings (OSTI)

During commissioning, CSIRO used its 3D laser scanning technology to map the CBF. A sensor ... High Capacity Thermobalance Anode Reactivity Testing.

350

Energy Citations Database (ECD) - Site Map  

Office of Scientific and Technical Information (OSTI)

Site Map Home Basic Search Fielded Search Document Availability About ECD Help FAQ Contact Us Website Policies and Important Links Alerts Log On Alerts Registration Alerts Help...

351

The split algebras and noncompact Hopf maps  

Science Conference Proceedings (OSTI)

We develop a noncompact version of the Hopf maps based on the split algebras. The split algebras consist of three species: split-complex numbers, split quaternions, and split octonions. They correspond to three noncompact Hopf maps that represent topological maps between hyperboloids in different dimensions with hyperboloid bundle. We realize such noncompact Hopf maps in two ways: one is to utilize the split-imaginary unit, and the other is to utilize the ordinary imaginary unit. Topological structures of the hyperboloid bundles are explored, and the canonical connections are naturally regarded as noncompact gauge field of monopoles.

Hasebe, Kazuki [Department of General Education, Kagawa National College of Technology, Takuma-cho, Mitoyo city, Kagawa 769-1192 (Japan)

2010-05-15T23:59:59.000Z

352

Visualizing the logistic map with a microcontroller  

E-Print Network (OSTI)

The logistic map is one of the simplest nonlinear dynamical systems that clearly exhibit the route to chaos. In this paper, we explored the evolution of the logistic map using an open-source microcontroller connected to an array of light emitting diodes (LEDs). We divided the one-dimensional interval $[0,1]$ into ten equal parts, and associated and LED to each segment. Every time an iteration took place a corresponding LED turned on indicating the value returned by the logistic map. By changing some initial conditions of the system, we observed the transition from order to chaos exhibited by the map.

Juan D. Serna; Amitabh Joshi

2011-12-25T23:59:59.000Z

353

APS Map | Overview | Advanced Photon Source  

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

APS Systems Map There are 5 main components that make up the APS technical facility: the linear accelerator, the booster synchrotron, the electron storage ring, insertion devices,...

354

Visualizing the logistic map with a microcontroller  

E-Print Network (OSTI)

The logistic map is one of the simplest nonlinear dynamical systems that clearly exhibit the route to chaos. In this paper, we explored the evolution of the logistic map using an open-source microcontroller connected to an array of light emitting diodes (LEDs). We divided the one-dimensional interval $[0,1]$ into ten equal parts, and associated and LED to each segment. Every time an iteration took place a corresponding LED turned on indicating the value returned by the logistic map. By changing some initial conditions of the system, we observed the transition from order to chaos exhibited by the map.

Serna, Juan D

2011-01-01T23:59:59.000Z

355

Speech processing using maximum likelihood continuity mapping  

DOE Patents (OSTI)

Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

Hogden, John E. (Santa Fe, NM)

2000-01-01T23:59:59.000Z

356

Digital Mapping Of Structurally Controlled Geothermal Features...  

Open Energy Info (EERE)

Gps Units And Pocket Computers Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Digital Mapping Of Structurally Controlled Geothermal Features With...

357

Digital Mapping Of Structurally Controlled Geothermal Features...  

Open Energy Info (EERE)

GPS Units And Pocket Computers Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Digital Mapping Of Structurally Controlled Geothermal Features...

358

Scanning and Mapping Strategies for CMB Experiments  

E-Print Network (OSTI)

CMB anisotropy experiments seeking to make maps with more pixels than the 6144 pixels used by the COBE DMR need to address the practical issues of the computer time and storage required to make maps. A simple, repetitive scan pattern reduces these requirements but leaves the experiment vulnerable to systematic errors and striping in the maps. In this paper I give a time-ordered method for map-making with one-horned experiments that has reasonable memory and CPU needs but can handle complex COBE-like scans paths and 1/f noise.

Edward L. Wright

1996-11-29T23:59:59.000Z

359

Divya Energy Solar Panel Savings Calculator | Open Energy Information  

Open Energy Info (EERE)

Divya Energy Solar Panel Savings Calculator Divya Energy Solar Panel Savings Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Divya Energy Solar Panel Savings Calculator Agency/Company /Organization: Boston Cleanweb Hackathon Resource Type: Application prototype User Interface: Website Website: hackerleague.org/hackathons/boston-cleanweb-hackathon/hacks/divya-ener Web Application Link: www.divyaenergy.com/cleanweb/ OpenEI Keyword(s): Cleanweb Hackathon, Boston, Community Generated Coordinates: 42.3490737°, -71.0481764° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3490737,"lon":-71.0481764,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

360

Building Energy Software Tools Directory: Duct Calculator  

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

Duct Calculator Duct Calculator Duct Calculator logo. Provides access to duct calculation and sizing capabilities either as a standalone Windows program or from within the Autodesk Building Mechanical, the new HVAC-oriented version of AutoCAD. Based on the engineering data and procedures outlined in the ASHRAE Fundamentals Handbook Calculation Methods, Duct Calculator features an advanced and fully interactive user interface. Slide controls for air flow, velocity, friction and duct size provide real-time, interactive feedback; as you spin one, the others dynamically respond in real time. When used with Autodesk Building Mechanical, Duct Calculator streamlines the design process by automatically re-sizing whole branches of ductwork. Screen Shots Keywords duct-sizing, design, engineering, calculation

Note: This page contains sample records for the topic "maps calculated actual" 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

Vehicle Cost Calculator | Open Energy Information  

Open Energy Info (EERE)

Vehicle Cost Calculator Vehicle Cost Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Vehicle Cost Calculator Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Transportation Phase: Evaluate Options Resource Type: Online calculator User Interface: Website Website: www.afdc.energy.gov/calc/ Web Application Link: www.afdc.energy.gov/calc/ OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Vehicle Cost Calculator[1] Logo: Vehicle Cost Calculator Calculate the total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Overview This tool uses basic information about your driving habits to calculate

362

Systematic Tendency Error in Budget Calculations  

Science Conference Proceedings (OSTI)

Atmospheric budget calculations suffer from various observational and numerical errors. This paper demonstrates that all budget calculations applied to a large number of samples suffer from additional errors originating from systematic tendency ...

Masao Kanamitsu; Suranjana Saha

1996-06-01T23:59:59.000Z

363

SPC/E Water Reference Calculations  

Science Conference Proceedings (OSTI)

SPC/E Water Reference Calculations - Ewald Summation. In ... 5. Sample Configurations of SPC/E Water Molecules. Four ...

2013-09-16T23:59:59.000Z

364

Effect of map sharing and confidence information in situation-map making  

Science Conference Proceedings (OSTI)

Motivation -- A situation map that shows the overview of a disaster situation serves as a valuable tool for disaster response teams. It helps them orientate their location and make disaster response decisions. It is, however, a quite complicated ... Keywords: collaboration, disaster response, map sharing, sensemaking, situation awareness, situation mapping

Lucy Gunawan; Hani Alers; Willem-Paul Brinkman; Mark Neerincx

2010-08-01T23:59:59.000Z

365

Making Google Maps A comprehensive user guide for creating and using your own online Google Maps  

E-Print Network (OSTI)

1 Making Google Maps A comprehensive user guide for creating and using your own online Google Maps By Devlin Hughes and Brett Jackson Trinity College May 2007 edition #12;2 Chapter 1: Introduction to Google, and are accessible to the public. You can also chose to display a mashup on your website. Mashups use Google Map

Wright, Dawn Jeannine

366

NCBI Map Viewer Tutorial NCBI's Map Viewer can be used to visualize an organism's genome and  

E-Print Network (OSTI)

.1" link. Enter GDNF as a search term and click on the "Find" button. Filter your search result for gene sapiens (human) Build 36" link. Enter PRNP as a search term. Name the chromosome on which this gene mutated. Search for "GDNF" in the Map Viewer. Access the Human Map Viewer page by clicking on the Map

Levin, Judith G.

367

Status Report of NNLO QCD Calculations  

Science Conference Proceedings (OSTI)

We review recent progress in next-to-next-to-leading order (NNLO) perturbative QCD calculations with special emphasis on results ready for phenomenological applications. Important examples are new results on structure functions and jet or Higgs boson production. In addition, we describe new calculational techniques based on twistors and their potential for efficient calculations of multiparticle amplitudes.

Klasen, Michael [Institute for Nuclear Theory, University of Washington, Box 351550, Seattle, WA 98195-1550 (United States)

2005-10-06T23:59:59.000Z

368

Discrete conformal mappings via circle patterns  

Science Conference Proceedings (OSTI)

We introduce a novel method for the construction of discrete conformal mappings from surface meshes of arbitrary topology to the plane. Our approach is based on circle patterns, that is, arrangements of circles---one for each face---with prescribed ... Keywords: Conformal parameterizations, circle patterns, discrete analytic functions, discrete differential geometry, meshing, texture mapping

Liliya Kharevych; Boris Springborn; Peter Schröder

2006-04-01T23:59:59.000Z

369

MFR PAPER 1177 Pilot SST mapping flights  

E-Print Network (OSTI)

the use of an aircraft mounted radiation thermometer to produce a daily sea surface temperature map over) with a remote sensing precision radiation thermometer. This mapping effort, coupled with a reasonably comprehen used in the tuna and menha- den fisheries (Douglas and Gorenbein, 1968; Hynd, 1968; Pearcy and Mueller

370

Discovery of protein substructures in EM maps  

Science Conference Proceedings (OSTI)

Cryo-EM has become an increasingly powerful technique for elucidating the structure, dynamics and function of large flexible macromolecule assemblies that cannot be determined at atomic-resolution. A major challenge in analyzing EM maps of complexes ... Keywords: 3D alignment of secondary structures, intermediate resolution cryo EM maps, macromolecular assemblies, structural bioinformatics

Keren Lasker; Oranit Dror; Ruth Nussinov; Haim Wolfson

2005-10-01T23:59:59.000Z

371

Neural maps in remote sensing image analysis  

Science Conference Proceedings (OSTI)

We study the application of self-organizing maps (SOMs) for the analyses of remote sensing spectral images. Advanced airborne and satellite-based imaging spectrometers produce very high-dimensional spectral signatures that provide key information to ... Keywords: generalized relevance learning vector quantization, image analysis, remote sensing, self-organizing map

Thomas Villmann; Erzsébet Merényi; Barbara Hammer

2003-04-01T23:59:59.000Z

372

Jerry Crail Johnson Earth Sciences & Map Library  

E-Print Network (OSTI)

) · Databases · Non-Georeferenced/Textual Resources Library Online Research Guides Map Library: http://ucblibraries.colorado.edu/map/links/gis.htm Guides to data by location and topic. Government Information Library: Country Guides: http://ucblibraries.colorado.edu/govpubs/for/foreigngovt.htm and Statistics: http://ucblibraries.colorado.edu/govpubs/us/stats.htm Finding GIS Data Online Selected National

Stowell, Michael

373

Controllable procedural map generation via multiobjective evolution  

Science Conference Proceedings (OSTI)

This paper shows how multiobjective evolutionary algorithms can be used to procedurally generate complete and playable maps for real-time strategy (RTS) games. We devise heuristic objective functions that measure properties of maps that impact important ... Keywords: Evolutionary computation, Multiobjective optimisation, Procedural content generation, RTS, Real-time strategy games, StarCraft

Julian Togelius; Mike Preuss; Nicola Beume; Simon Wessing; Johan Hagelbäck; Georgios N. Yannakakis; Corrado Grappiolo

2013-06-01T23:59:59.000Z

374

Learning Topologic Maps with Growing Neural Gas  

Science Conference Proceedings (OSTI)

Self-organising neural networks try to preserve the topology of an input space by means of their competitive learning. This capacity has been used, among others, for the representation of objects and their motion. In this work we use a kind of self-organising ... Keywords: Self-organising maps, computational geometry, robot navigation, topologic maps, topology preservation

José García-Rodríguez; Francisco Flórez-Revuelta; Juan Manuel García-Chamizo

2007-09-01T23:59:59.000Z

375

Quantified symmetry for entorhinal spatial maps  

Science Conference Proceedings (OSTI)

General navigation requires a spatial map that is not anchored to one environment. The firing fields of the ''grid cells'' found in the rat dorsolateral medial entorhinal cortex (dMEC) could be such a map. dMEC firing fields are also thought to be modeled ... Keywords: Hippocampus, Neural coding, Spatial cognition, Symmetry

Erick Chastain; Yanxi Liu

2007-06-01T23:59:59.000Z

376

Accelerating wildfire susceptibility mapping through GPGPU  

Science Conference Proceedings (OSTI)

In the field of wildfire risk management the so-called burn probability maps (BPMs) are increasingly used with the aim of estimating the probability of each point of a landscape to be burned under certain environmental conditions. Such BPMs are usually ... Keywords: Cellular automata, GPGPU, Hazard maps, Wildfire simulation, Wildfire susceptibility

Salvatore Di Gregorio, Giuseppe Filippone, William Spataro, Giuseppe A. Trunfio

2013-08-01T23:59:59.000Z

377

Demonstration of a SREX flowsheet for the partitioning of strontium and lead from actual ICPP sodium-bearing waste  

SciTech Connect

Laboratory experimentation has indicated that the SREX process is effective for partitioning {sup 90}Sr and Pb from acidic radioactive waste solutions located at the Idaho Chemical Processing Plant. Previous countercurrent flowsheet testing of the SREX process with simulated waste resulted in 99.98% removal of Sr and 99.9% removal of Pb. Based on the results of these studies, a demonstration of the SREX flowsheet was performed. The demonstration consisted of (1) countercurrent flowsheet testing of the SREX process using simulated sodium-bearing waste spiked with {sup 85}Sr and (2) countercurrent flowsheet testing of the SREX process using actual waste from tank WM-183. All testing was performed using 24 stages of 2-cm diameter centrifugal contactors which are installed in the Remote Analytical Laboratory hot cell. The flowsheet tested consisted of an extraction section (0. 15 M 4`,4`(5)-di-(tert-butyldicyclohexo)-18-crown-6 and 1.5 M TBP in Isopar-L{reg_sign}), a 2.0 MHNO{sub 3} scrub section to remove extracted K from the SREX solvent, a 0.05 M HNO{sub 3} strip section for the removal of Sr from the SREX solvent, a 0.1 M ammonium citrate strip section for the removal of Pb from the SREX solvent, and a 3.0 M HNO{sub 3} equilibration section. The behavior of {sup 90}Sr, Pb, Na, K, Hg, H{sup +}, the actinides, and numerous other non-radioactive elements was evaluated. The described flowsheet successfully extracted and selectively stripped Sr and Ph from the SBW simulant and the actual tank waste. For the testing with actual tank waste (WM - 183), removal efficiencies of 99.995 % and >94% were obtained for {sup 90}Sr and Pb, respectively.

Law, J.D.; Wood, D.J.; Olson, L.G.; Todd, T.A.

1997-08-01T23:59:59.000Z

378

NREL: International Activities - India Solar Resource Maps  

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

International Activities International Activities Search More Search Options Site Map Printable Version UPDATED India Solar Resource Maps This page provides 10-kilometer (km) solar resource maps and data for India. The 10-km hourly solar resource data were developed using weather satellite (METEOSAT) measurements incorporated into a site-time specific solar modeling approach developed at the U.S. State University of New York at Albany. The data is made publicly available in geographic information system (GIS) format and as static maps below. The hourly data can also be downloaded for specific locations from NREL's Renewable Resource Data Center. The new maps and data were released in June 2013. The new data expands the time period of analysis from 2002-2007 to 2002-2011 and incorporates

379

Definition: Interchange Distribution Calculator | Open Energy Information  

Open Energy Info (EERE)

Distribution Calculator Distribution Calculator Jump to: navigation, search Dictionary.png Interchange Distribution Calculator The mechanism used by Reliability Coordinators in the Eastern Interconnection to calculate the distribution of Interchange Transactions over specific Flowgates. It includes a database of all Interchange Transactions and a matrix of the Distribution Factors for the Eastern Interconnection.[1] Related Terms Reliability Coordinator, Interchange Transaction References ↑ Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Interchange_Distribution_Calculator&oldid=480261" Categories: Definitions

380

Distributed Energy Calculator | Open Energy Information  

Open Energy Info (EERE)

Distributed Energy Calculator Distributed Energy Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Distributed Energy Calculator Agency/Company /Organization: Apps for Energy Challenge Participant Sector: Energy Resource Type: Application prototype User Interface: Website Website: distributedenergycalculator.com/ OpenEI Keyword(s): Challenge Generated, Green Button Apps Language: English References: Apps for Energy[1] The Distributed Energy Calculator allows you to explore the potential energy savings for your community using Solar, Small Wind or Microturbines. The Distributed Energy Calculator allows you to explore the potential energy savings for your community using Solar, Small Wind or Microturbines. You can upload Green Button Data to compare your utility energy costs to

Note: This page contains sample records for the topic "maps calculated actual" 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

Harmonic Analysis Errors in Calculating Dipole,  

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

Harmonic Analysis Errors in Calculating Dipole, Harmonic Analysis Errors in Calculating Dipole, Quadrupole, and Sextupole Magnets using POISSON Ro be rt J. La ri<::::R~ i. September 10, 1985 Introduction LS-32 The computer program POISSON was used to calculate the dipole, quadru- pole, and sextupole magnets of the 6 GeV electron storage ring. A trinagular mesh must first be generated by LATTICE. The triangle size is varied over the "universe" at the discretion of the user. This note describes a series of test calculations that were made to help the user decide on the size of the mesh to reduce the harmonic field calculation errors. A conformal transfor- mation of a multipole magnet into a dipole reduces these errors. Dipole Magnet Calculations A triangular mesh used to calculate a "perfect" dipole magnet is shown in

382

Chalmers Climate Calculator | Open Energy Information  

Open Energy Info (EERE)

Chalmers Climate Calculator Chalmers Climate Calculator Jump to: navigation, search Tool Summary Name: Chalmers Climate Calculator Agency/Company /Organization: Chalmers University of Technology Sector: Energy, Land Topics: Baseline projection, Co-benefits assessment, GHG inventory, Pathways analysis Resource Type: Software/modeling tools User Interface: Website Website: dhcp2-pc011134.fy.chalmers.se Cost: Free Chalmers Climate Calculator Screenshot References: Chalmers Climate Calculator[1] Logo: Chalmers Climate Calculator " In the Chalmers Climate Calculator the user can decide on when and how fast emissions of CO2 are reduced and what this emissions scenario implies in terms of CO2 concentration and global average surface temperature change. The climate sensitivity and the net aerosol forcing in year 2005

383

Extragalactic Point Source Search in Five-year WMAP 41, 61 and 94 GHz Maps  

E-Print Network (OSTI)

We present the results of an extragalactic point source search using the five-year WMAP 41, 61 and 94 GHz (Q-, V- and W-band) temperature maps. This work is an extension of our point source search in the WMAP maps applying a CMB-free technique. An internal linear combination (ILC) map has been formed from the three-band maps, with the weights chosen to remove the CMB anisotropy signal as well as to favor a selection of flat-spectrum sources. We find 381 sources at the > 5 sigma level outside the WMAP point source detection mask in the ILC map, among which 89 are "new" (i.e., not present in the WMAP catalog). Source fluxes have been calculated and corrected for the Eddington bias. We have solidly identified 367 (96.3%) of our sources. The 1 sigma positional uncertainty is estimated to be 2'. The 14 unidentified sources could be either extended radio structure or obscured by Galactic emission. We have also applied the same detection process on simulated maps and found 364+/-21 detections on average. The recovered source distribution N(>S) agrees well with the simulation input, which proves the reliability of this method.

Xi Chen; Edward L. Wright

2008-09-23T23:59:59.000Z

384

Animated axial surface mapping: The multimedia companion  

SciTech Connect

This newly expanded version of AAPG`s first DataShare Disk brings to life the concepts and applications of a new method of structural trend analysis. Through the dynamic use of color, sound, animation, and humor, this multimedia companion to the May 1994 article on Axial Surface Mapping introduces the reader (or viewer) to the concepts of rigid-block translation, fault-bend folding, and axial surface mapping. Animated models of growing fault-bend folds allow the viewer to see in four dimensions. The axial surface map shows the horizontal plane; the folding lines show depth planes; and the animations show the structure and its two-dimensional map changing with time and increasing slip. The animations create theoretical map patterns under varying, but controlled conditions that can be compared to axial surface maps from real data. The model patterns are then used to interpret seismic data and axial surface maps from a producing gas field in offshore California and from an exploration play in Pennsylvania.

Hook, S.C.; Shaw, J.H. [Texaco EPTD, Houston, TX (United States); Suppe, J. [Princeton Univ., Princeton, NJ (United States)

1995-09-01T23:59:59.000Z

385

Google Maps -hampton inn rochester http://maps.google.com/ 1 of 2 9/29/05 13:25  

E-Print Network (OSTI)

Google Maps - hampton inn rochester http://maps.google.com/ 1 of 2 9/29/05 13:25 A Hampton Inn 717: 36 Hotels. Google Maps hampton inn rochester #12;Google Maps - hampton inn rochester http://maps.google

Richmond, Michael W.

386

Lawrence Livermore National Laboratory: Site Map  

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

Site Map Site Map About LLNL What we do How we do it Our Values Organization Management and Sponsors Publications History Organizations Global Security National Ignition Facility Operations Safety & Security Science & Technology Weapons & Complex Integration Visiting LLNL Maps & Directions Badging Discovery Center Site Tours Current Weather Protocol Office Where to stay Tri-Valley Visitors Bureau City of Livermore News News Center For Reporters Social Media & Multimedia Publication Science and Technology Review Lab Report News Releases Around the Lab Community Discovery Center Site Tours Community giving Corporate giving Environmental information Community Center Contacts Discover LLNL Newsletter Volunteer Opportunities Education Internships Postdocs K - 12 Outreach Site Tours School Tours

387

Stakeholder Engagement and Outreach: Wind Resource Maps and Anemometer Loan  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Maps and Anemometer Loan Program Data The Stakeholder Engagement and Outreach initiative provides wind maps and validation to help states and regions build capacity to support and accelerate wind energy deployment. Read about the available wind maps for utility-, community-, and residential-scale wind development. A wind resource map of the United States showing land-based with offshore resources. The Energy Department, the National Renewable Energy Laboratory, and AWS Truepower provide the wind resource map that shows land-based with offshore resources. This map is the first to provide wind developers and policy

388

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Marine & Hydrokinet...  

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

easier. A screen capture of the MapSearch Map view option Marine & Hydrokinetic Maps Hydropower already provides 6-7% of the nation's electricity, and the ocean represents a...

389

Workforce Training for the Electric Power Sector: Map of Projects...  

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

Map of Projects Workforce Training for the Electric Power Sector: Map of Projects Map showing the number of projects awarded in each State through the Workforce Training for the...

390

The Neutron Residual Stress Mapping Facility at HFIR | ORNL Neutron...  

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

Neutron Residual Stress Mapping Facility at HFIR Neutron Residual Stress Mapping Facility (HB-2B) Neutron Residual Stress Mapping Facility (HB-2B). The HB-2B beam port is optimized...

391

Mapping of complex marine environments using an unmanned surface craft  

E-Print Network (OSTI)

Recent technology has combined accurate GPS localization with mapping to build 3D maps in a diverse range of terrestrial environments, but the mapping of marine environments lags behind. This is particularly true in shallow ...

Leedekerken, Jacques Chadwick

2011-01-01T23:59:59.000Z

392

Automatically and Accurately Conflating Orthoimagery and Street Maps  

E-Print Network (OSTI)

, such as property survey maps and maps of oil and natural gas fields. Satellite imagery and aerial photography have of imagery and maps. Most online imagery (such as satellite imagery and aerial imagery) has been

Shahabi, Cyrus

393

Is interactivity actually important?  

Science Conference Proceedings (OSTI)

It appears that it is a well-accepted assumption that interactivity will improve the entertainment and/or learning value of a media. This paper reviews various studies exploring the role of interactivity and reports on a study conducted to see whether ... Keywords: game engine, interactivity, learning, simulation, training

Debbie Richards

2006-12-01T23:59:59.000Z

394

Some Calculations for Cold Fusion Superheavy Elements  

E-Print Network (OSTI)

The Q value and optimal exciting energy of the hypothetical superheavy nuclei in cold fusion reaction are calculated with relativistic mean field model and semiemperical shell model mass equation(SSME) and the validity of the two models is tested. The fusion barriers are also calculated with two different models and reasonable results are obtained. The calculations can give useful references for the experiments in the superheavy nuclei synthesized in cold fusion reactions.

X. H. Zhong; L. Li; P. Z. Ning

2004-10-18T23:59:59.000Z

395

Application of Phase Diagram Calculation to Accelerated ...  

Science Conference Proceedings (OSTI)

Presentation Title, Application of Phase Diagram Calculation to Accelerated Development of Mo-Si-B Based Alloys. Author(s), Ying Yang, H Bei, Shuanglin ...

396

Multilevel acceleration of neutron transport calculations.  

E-Print Network (OSTI)

??Nuclear reactor design requires the calculation of integral core parameters and power and radiation profiles. These physical parameters are obtained by the solution of the… (more)

Marquez Damian, Jose Ignacio

2007-01-01T23:59:59.000Z

397

NREL: Power Technologies Energy Data Book - Calculators  

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

Energy Analysis Center Energy Analysis Newsletter Power Technologies Energy Data Book Home Table of Contents Browse by Technology Calculators Renewable Energy Conversion...

398

Using Bayes' Theorem for Free Energy Calculations.  

E-Print Network (OSTI)

??Statistical mechanics is fundamentally based on calculating the probabilities of molecular-scaleevents. Although Bayes’ theorem has generally been recognized as providing key guiding principals for setup… (more)

Rogers, David M.

2009-01-01T23:59:59.000Z

399

Drag calculations improve efficiency of hydraulic jars  

Science Conference Proceedings (OSTI)

Using drag calculations helps accurately determine the maximum hook load for optimal over-pull force during jarring operations. The driller then has a better chance of freeing stuck pipe on the first jarring attempt. Several operational situations demonstrate how these calculations allow the over pull force on the jar during operation to be increased by 40 % compared to calculations involving the weight of the drillstring only. The drag calculation method significantly increases the probability of successful jarring operations. This article concentrates on upward jarring; the results and procedures are applicable, however, for downward jarring as well.

Aarrestad, T.V. (Den norske stats oljeselskap AS, Statoil (Norway))

1993-03-29T23:59:59.000Z

400

Lennard-Jones Fluid Reference Calculations  

Science Conference Proceedings (OSTI)

... The definition of these energetic terms are given ... calculations given here, the following definitions are relevant: ... D. The pair internal energy is given ...

2013-07-12T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Design Calculations For APS Safety Shutters  

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

9 Design Calculations for the Advanced Photon Source Safety Shutters P. K. Job, Advanced Photon Source B. J. Micklich, Intense Pulsed Neutron Source Argonne National Laboratory,...

402

Building Technologies Office: 179D DOE Calculator  

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

Energy simulations are required to show compliance with the energy and power cost savings requirements. View more detailed information. What is the 179D DOE Calculator? The...

403

The Materials Project: Combining Quantum Chemistry Calculations...  

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

The Materials Project: Combining Quantum Chemistry Calculations with Supercomputing Centers for New Materials Discovery Speaker(s): Anubhav Jain Date: December 18, 2012 - 12:00pm...

404

MatCalc - The Materials Calculator  

Science Conference Proceedings (OSTI)

Oct 12, 2007 ... MatCalc is supported on Windows, Linux, and Mac OSX systems. Citation: " MatCalc - The Materials Calculator." © MatCalc (2008).

405

Building Technologies Office: Qualified Software for Calculating...  

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

you'll find a list of qualified computer software for calculating commercial building energy and power cost savings that meet federal tax incentive requirements. To submit...

406

Calculating Cyclotomic Polynomials - CECM - Simon Fraser University  

E-Print Network (OSTI)

algorithm calculates ?n(z) as a quotient of products of sparse power series. ... polynomials and their coefficients available at the Sloane On-Line Encyclopedia  ...

407

PPPL Area Map | Princeton Plasma Physics Lab  

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

PPPL Area Map PPPL Area Map Screen reader users: click here for plain HTML Go to Google Maps Home PPPL, Stellarator Road, Princeton, NJ Loading... Map Sat Ter Did you mean a different: Did you mean a different: Did you mean a different: Add Destination - Show options Hide options Get Directions Note: Public transit coverage may not be available in this area. PPPL, Stellarator Road, Princeton, NJ A Princeton Plasma Physics Laboratory Photo 100 Stellarator Rd, Plainsboro Township, NJ ‎ (609) 243-2000 () ‎ · pppl.gov 2 reviews · fusion science · lyman spitzer · ncsx · evolution "Princeton University Princeton Plasma Physics Laboratory P.O. Box 451. Princeton, NJ 08543-0451. GPS: 100 Stellarator Road Princeton, NJ, 08540 (609) 243-2000" - pppl.gov B James Forrestal Campus of Princeton University

408

A Simple System for Mapping Conductivity Microstructure  

Science Conference Proceedings (OSTI)

A system for spatial mapping of the temperature variance dissipation rate ? based on conductivity micro-structure measurements from a towyo platform is described. The spatial response of the microconductivity probe is approximately that of a one-...

Libe Washburn; Thomas K. Deaton

1986-09-01T23:59:59.000Z

409

NREL: Wind Research - International Wind Resource Maps  

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

Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the...

410

Microsoft Word - WWTR_MAP05162011.doc  

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

the city of Walla Walla, Washington, to the existing Tucannon River Substation, located near the town of Dayton, Washington. This MAP is for the Proposed Action and includes all of...

411

HCEI Road Map: 2011 Edition (Brochure)  

SciTech Connect

This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

Braccio, R.; Finch, P.

2011-08-01T23:59:59.000Z

412

SLAC National Accelerator Laboratory - Maps and Directions  

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

Maps & Directions The SLAC campus is located on 426 acres of Stanford University property, just three miles west of the university campus. The main entrance to the facilitiy is on...

413

HCEI Road Map: 2011 Edition (Brochure)  

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

This road map outlines the 2011 key goals and strategies of the Hawaii Clean Energy Initiative, was founded based on a Memorandum of Understanding between the State of Hawaii and the U.S. Department of Energy in 2008.

414

Non-linear volume photon mapping  

Science Conference Proceedings (OSTI)

This paper describes a novel extension of the photon mapping algorithm, capable of handling both volume multiple inelastic scattering and curved light paths simultaneously. The extension is based on the Full Radiative Transfer Equation (FRTE) and Fermat's ...

Diego Gutierrez; Adolfo Munoz; Oscar Anson; Francisco J. Seron

2005-06-01T23:59:59.000Z

415

Figure ES1. Map of Northern Alaska  

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

Figure ES1. Map of Northern Alaska figurees1.jpg (61418 bytes) Source: Edited from U.S. Geological Survey, "The Oil and Gas Resource Potential of the Arctic National Wildlife...

416

Drought Index Mapping at Different Spatial Units  

Science Conference Proceedings (OSTI)

This paper investigates the influence of spatial interpolation and aggregation of data to depict drought at different spatial units relevant to and often required for drought management. Four different methods for drought index mapping were ...

Jinyoung Rhee; Gregory J. Carbone; James Hussey

2008-12-01T23:59:59.000Z

417

SSRL Site Map | Stanford Synchrotron Radiation Lightsource  

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

Site Map Global Menu DOE Stanford SLAC SSRL LCLS AD PPA SUNCAT PULSE SIMES Main menu Home About SSRL What is SSRL? Director's Office Organization Advisory Panels History SSRL News...

418

Bottom Topography Mapping via Nonlinear Data Assimilation  

Science Conference Proceedings (OSTI)

A variational data assimilation method is described for bottom topography mapping in rivers and estuaries using remotely sensed observations of water surface currents. The velocity field and bottom topography are related by the vertically ...

Edward D. Zaron; Marie-Aude Pradal; Patrick D. Miller; Alan F. Blumberg; Nickitas Georgas; Wei Li; Julia Muccino Cornuelle

2011-12-01T23:59:59.000Z

419

Skyrmions, rational maps, and scaling identities  

Science Conference Proceedings (OSTI)

Starting from approximate Skyrmion solutions obtained using the rational map ansatz, improved approximate Skyrmions are constructed using scaling arguments. Although the energy improvement is small, the change of shape clarifies whether the true Skyrmions are more oblate or prolate.

Charalampidis, E. G.; Ioannidou, T. A. [Department of Mathematics, Physics and Computational Sciences, Faculty of Engineering, Aristotle University of Thessaloniki, GR-54124 Thessaloniki (Greece); Manton, N. S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)

2011-03-15T23:59:59.000Z

420

Mapping of Airborne Doppler Radar Data  

Science Conference Proceedings (OSTI)

Two sets of equations are derived to 1) map airborne Doppler radar data from an aircraft-relative coordinate system to an earth-relative coordinate system, and 2) remove the platform motion from the observed Doppler velocities. These equations ...

Wen-Chau Lee; Peter Dodge; Frank D. Marks Jr.; Peter H. Hildebrand

1994-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Identification of Marine Eddies from Altimetric Maps  

Science Conference Proceedings (OSTI)

A procedure is presented to detect eddy cores from sea level anomaly (SLA) maps obtained from altimetric measurements. The method is based on finding the sign of Q, which is an invariant of the velocity gradient tensor (u). This parameter, ...

Jordi Isern-Fontanet; Emilio García-Ladona; Jordi Font

2003-05-01T23:59:59.000Z

422

ARM - Campaign Instrument - synoptic-maps  

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

govInstrumentssynoptic-maps Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : National Climatic Data Center...

423

Advanced global illumination using photon mapping  

Science Conference Proceedings (OSTI)

Photon mapping provides a practical way of efficiently simulating global illumination including interreflections, caustics, color bleeding, participating media and subsurface scattering in scenes with complicated geometry and advanced material models. ...

Wojciech Jarosz; Henrik Wann Jensen; Craig Donner

2008-08-01T23:59:59.000Z

424

Autonomous Exploration and Mapping of Flooded Sinkholes  

Science Conference Proceedings (OSTI)

In this paper, we describe the control, navigation, and mapping methods that were developed for a hovering autonomous underwater vehicle that explored flooded cenotes in Mexico. The cenotes of Sistema Zacatón in Tamaulipas, Mexico are flooded ...

Nathaniel Fairfield; George Kantor; Dominic Jonak; David Wettergreen

2010-05-01T23:59:59.000Z

425

Solar America Initiative (Across America Map)  

SciTech Connect

This factsheet gives an overview of the Solar America Initiative (SAI) using a map to show locations of the Solar America Cities, Solar America Showcases and other market transformation and research and development projects.

2007-06-01T23:59:59.000Z

426

2009 Google -Map data 2009 Tele Atlas -Terms of Use 4025 Albert St, Regina, SK to University Dr W -Google Maps http://maps.google.ca/  

E-Print Network (OSTI)

©2009 Google - Map data ©2009 Tele Atlas - Terms of Use 4025 Albert St, Regina, SK to University Dr W - Google Maps http://maps.google.ca/ 2 of 3 4/22/2009 4:38 PM #12;Walking directions are in beta Regina, SK University Dr W 4025 Albert St, Regina, SK to University Dr W - Google Maps http://maps.google

Argerami, Martin

427

National Electric Transmission Congestion Study 2006 Area Maps  

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

Electric Transmission National Electric Transmission Congestion Study Congestion Study Congestion Area Maps Congestion Area Maps U.S. Department of Energy U.S. Department of Energy...

428

Uranium Lease Tracts Location Map | Department of Energy  

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

Centers Field Sites Power Marketing Administration Other Agencies You are here Home Uranium Lease Tracts Location Map Uranium Lease Tracts Location Map Uranium Lease Tracts...

429

Complete LNG Terminal Status Maps | Department of Energy  

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

LNG Terminal Status Maps Complete LNG Terminal Status Maps A series of slides showing the status of various LNG terminals (existing, under construction, proposed, etc.) in North...

430

Exploring the Wind Manufacturing Map | Department of Energy  

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

Exploring the Wind Manufacturing Map Exploring the Wind Manufacturing Map August 15, 2012 - 5:01pm Addthis America's wind energy industry supports a growing domestic industrial...

431

EIA updates mapping tool relating hurricane path to energy ...  

U.S. Energy Information Administration (EIA)

Maps. Maps by energy source and ... Solar › Energy in Brief. ... is likely to be the first major hurricane to make landfall in the United States since Hurricane Ike ...

432

Map Data: Solar Energy Potential | Department of Energy  

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

Solar Energy Potential Map Data: Solar Energy Potential nrel-solar-pv-tilt-potential.zip More Documents & Publications Map Data: Recovery Act Funding...

433

Mapping Climate Change Vulnerability and Impact Scenarios - A...  

Open Energy Info (EERE)

Mapping Climate Change Vulnerability and Impact Scenarios - A Guidebook for Sub-national Planners Jump to: navigation, search Tool Summary Name: Mapping Climate Change...

434

Map Data: Recovery Act Funding | Department of Energy  

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

Map Data: Recovery Act Funding Map Data: Recovery Act Funding recoveryactfundingnumber.zip More Documents & Publications An Overview of the DOE's Small Business Innovation...

435

DOE provides detailed onshore wind resource map - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... electric power plant emissions. Highlights ... Puerto Rico and the U.S. Virgin Islands do not have 80-meter wind maps available but have 50-meter wind maps.

436

EIS-0317-S1: Environmental Impact Statement, Maps and Figures...  

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

Environmental Impact Statement, Maps and Figures Kangley-Echo Lake Transmission Line Project Maps and Figures Bonneville Power Administration is proposing to build a new...

437

Local Energy Assurance Planning: Map of States with Number of...  

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

States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities...

438

Local Energy Assurance Planning: Map of Selected Cities | Department...  

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

Selected Cities Local Energy Assurance Planning: Map of Selected Cities Map of the United States showing the location and population size of cities selected for Local Energy...

439

Web Mapping and Online GIS Applications for Renewable Energy...  

Open Energy Info (EERE)

Web Mapping and Online GIS Applications for Renewable Energy Jump to: navigation, search Tool Summary Name: Web Mapping and Online GIS Applications for Renewable Energy Agency...

440

Designated Ground Water Basin Map | Open Energy Information  

Open Energy Info (EERE)

Designated Ground Water Basin Map Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Designated Ground Water Basin Map Details Activities (0) Areas...

Note: This page contains sample records for the topic "maps calculated actual" 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

Field Mapping At Colrado Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

Field Mapping At Colrado Area (DOE GTP) Exploration Activity Details Location Colado Geothermal Area Exploration Technique Field Mapping Activity Date Usefulness not indicated...

442

Bayesian Statistics and Its Application to Quantitative Trait Loci Mapping.  

E-Print Network (OSTI)

??Quantitative trait loci (QTL) mapping is one of the applications of statistics in genetics.This dissertation focuses two problems on QTL mapping which include a newpermutation… (more)

Che, Xiaohong

2011-01-01T23:59:59.000Z

443

Variations in Map Products Demonstrated During the FRMAC Fukushima Daiichi Response  

SciTech Connect

This presentation provides a brief summary of the Fukushima Daiichi disaster, discussion on map uses and production, early phase maps, intermediate phase maps, and late phase maps.

Pemberton, W. J.

2012-04-03T23:59:59.000Z

444

An experimental and computational leakage investigation of labyrinth seals with rub grooves of actual size and shape  

E-Print Network (OSTI)

A large scale water test facility and a commercial CFD computer program were used to investigate labyrinth seals with rub grooves of actual size and shape found in aircraft engines. The 2-D test rig cases focused on the effect of tooth position and operating condition for the standard geometry. The computed cases considered tooth axial and radial position, different operating conditions, and several geometric dimensions. This investigation also compares the leakage of the standard geometry to that of a modified convex wall geometry. The test facility is a 33 times enlargement of the actual seal. The pressure drop leakage rate and flow visualization digital images for the standard geometry seal were measured at various Reynolds numbers and at nine different tooth positions. The discharge coefficient and a dimensionless pressure drop number were used to plot the leakage data to make it easier for seal designers to predict the leakage of labyrinth seals. The experimental visualization results show for a given Reynolds number that the closer the labryinth tooth gets to the step the deeper the throughflow jet penetrated into the seal cavity. The decrease of the tooth tip clearance also has a similar effect. Specifically the smaller the tooth tip clearance the deeper the flow path penetrated into the seal cavity. The experimental measurements show that the tooth tip axial position, as well as the minimum-tooth clearance, affect the leakage. A significant improvement in leakage was generally observed when the minimum-distance tooth clearance occurs across the entire tip of the tooth. This occurs only at the most upstream tooth position tested. Similarly, the computed results show that the tooth axial position affects the seal leakage. It was also found that the leakage of the modified convex wall geometry was significantly less than that of the standard geometry.

Ambrosia, Matthew Stanley

2001-01-01T23:59:59.000Z

445

Environmental Benefits Mapping and Analysis Program (BenMAP) | Open Energy  

Open Energy Info (EERE)

Environmental Benefits Mapping and Analysis Program (BenMAP) Environmental Benefits Mapping and Analysis Program (BenMAP) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Environmental Benefits Mapping and Analysis Program (BenMAP) Agency/Company /Organization: United States Environmental Protection Agency Sector: Climate User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.epa.gov/air/benmap/ Cost: Free Related Tools Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Poverty Social Impact Analysis ... further results A Windows-based program that uses Geographic Information Systems (GIS) to

446

Multiple-Zone Variable Refrigerant Flow System Modeling and Equipment Performance Mapping  

Science Conference Proceedings (OSTI)

We developed a variable refrigerant flow (VRF) vapor compression system model, which has five indoor units, one outdoor unit and one water heater. The VRF system can run simultaneous space conditioning (cooling or heating) and water heating. The indoor units and outdoor unit use fin-&-tube coil heat exchangers, and the water heater uses a tube-in-tube heat exchanger. The fin-&-tube coil heat exchangers are modeled using a segment-by-segment approach and the tube-in-tube water heater is modeled using a phase-by-phase approach. The compressor used is a variable-speed rotary design. We calibrated our model against a manufacturer s product literature. Based on the vapor compression system model, we investigated the methodology for generating VRF equipment performance maps, which can be used for energy simulations in TRNSYS and EnergyPlus, etc. In the study, the major independent variables for mapping are identified and the deviations between the simplified performance map and the actual equipment system simulation are quantified.

Shen, Bo [ORNL; Rice, C Keith [ORNL

2012-01-01T23:59:59.000Z

447

The Map that Named America: Martin Waldseemüller’s 1507 World Map  

E-Print Network (OSTI)

This brief overview of the history of Martin Waldseemüller's 1507 map and its acquisition by the Library of Congress is presented as a complement to John Hessler's article, "Warping Waldseemüller: A Cartometric Study of the Coast of South America as Portrayed on the 1507 World Map" (Coordinates, Series A, No. 4). A high-resolution image of the Waldseemüller map can be found at http://hdl.loc.gov/loc.gmd/g3200.ct000725C.

Hebert, John R.

2005-08-29T23:59:59.000Z

448

Data base to compare calculations and observations  

Science Conference Proceedings (OSTI)

Meteorological and climatological data bases were compared with known tritium release points and diffusion calculations to determine if calculated concentrations could replace measure concentrations at the monitoring stations. Daily tritium concentrations were monitored at 8 stations and 16 possible receptors. Automated data retrieval strategies are listed. (PSB)

Tichler, J.L.

1985-01-01T23:59:59.000Z

449

PVWatts (R) Calculator India (Fact Sheet)  

SciTech Connect

The PVWatts (R) Calculator for India was released by the National Renewable Energy Laboratory in 2013. The online tool estimates electricity production and the monetary value of that production of grid-connected roof- or ground-mounted crystalline silicon photovoltaics systems based on a few simple inputs. This factsheet provides a broad overview of the PVWatts (R) Calculator for India.

Not Available

2014-01-01T23:59:59.000Z

450

Numerical Object Oriented Quantum Field Theory Calculations  

E-Print Network (OSTI)

The qft++ package is a library of C++ classes that facilitate numerical (not algebraic) quantum field theory calculations. Mathematical objects such as matrices, tensors, Dirac spinors, polarization and orbital angular momentum tensors, etc. are represented as C++ objects in qft++. The package permits construction of code which closely resembles quantum field theory expressions, allowing for quick and reliable calculations.

M. Williams

2008-05-19T23:59:59.000Z

451

Proper Orthogonal Decomposition for Flow Calculations  

E-Print Network (OSTI)

Proper Orthogonal Decomposition for Flow Calculations and Optimal Control in a Horizontal CVD calculations are discussed. AMS Subject Classification: 76N10, 65K10, 49J20 & 35C10 \\Lambda This research a chemical reaction in the gas phase above the surface of the film to deposit desired materials onto

452

Rainfall-Induced Changes in Actual Surface Backscattering Cross Sections and Effects on Rain-Rate Estimates by Spaceborne Precipitation Radar  

Science Conference Proceedings (OSTI)

In this study, the authors used Tropical Rainfall Measuring Mission precipitation radar (TRMM PR) data to investigate changes in the actual (attenuation corrected) surface backscattering cross section (?0e) due to changes in surface conditions ...

Shinta Seto; Toshio Iguchi

2007-10-01T23:59:59.000Z

453

China 2050 Pathways Calculator | Open Energy Information  

Open Energy Info (EERE)

China 2050 Pathways Calculator China 2050 Pathways Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: China 2050 Pathways Calculator Agency/Company /Organization: China's Energy Research Institute (ERI), UK Department of Energy and Climate Change (DECC), UK Foreign and Commonwealth Office (FCO) Focus Area: Non-renewable Energy, Renewable Energy Phase: Evaluate Options, Prepare a Plan Topics: Low-carbon plans/TNAs/NAMAs, Resource assessment, Pathways analysis Resource Type: Guide/manual, Training materials, Lessons learned/best practices, Online calculator User Interface: Website Website: china-en.2050calculator.net/pathways/111011011011101101011010111101101 Country: China OpenEI Keyword(s): International Eastern Asia Language: English References: Global Energy Governance Reform, 3 October 2012[1]

454

CUFR Tree Carbon Calculator | Open Energy Information  

Open Energy Info (EERE)

CUFR Tree Carbon Calculator CUFR Tree Carbon Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CUFR Tree Carbon Calculator Agency/Company /Organization: United States Forest Service Sector: Climate, Land Focus Area: Forestry Phase: Determine Baseline, Evaluate Options Topics: GHG inventory, Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.fs.fed.us/ccrc/topics/urban-forests/ctcc/ Cost: Free Language: English References: CUFR Tree Carbon Calculator[1] Overview "The CUFR Tree Carbon Calculator is the only tool approved by the Climate Action Reserve's Urban Forest Project Protocol for quantifying carbon dioxide sequestration from GHG tree planting projects. The CTCC is programmed in an Excel spreadsheet and provides carbon-related information

455

Campus Carbon Calculator | Open Energy Information  

Open Energy Info (EERE)

Campus Carbon Calculator Campus Carbon Calculator Jump to: navigation, search Tool Summary Name: Campus Carbon Calculator Agency/Company /Organization: Clean Air-Cool Planet Phase: Create a Vision, Determine Baseline, Develop Goals User Interface: Spreadsheet Website: www.cleanair-coolplanet.org/toolkit/inv-calculator.php The Campus Carbon Calculator(tm), Version 6.4, is now available for download. Version 6.4 includes new features, updates and corrections - including greatly expanded projection and solutions modules, designed to aid schools that have completed greenhouse gas inventories in developing long term, comprehensive climate action plans based on those inventories. The new modules facilitate analysis of carbon reduction options, determining project payback times, net present value, cost per ton reduced,

456

Calculations to assist in a new Hiroshima yield estimate. Final report, August 19-December 31, 1983  

Science Conference Proceedings (OSTI)

This report describes calculations and analysis performed in an attempt to provide a new estimate for the yield of the Hiroshima weapon. Newly discovered meteorological data was adapted for use in one- and two-dimensional hydrodynamic codes, and a series of calculations was then run for different values of yield. The objective was to determine what yield produced an overpressure record which could best be correlated with an actual trace measured at a parachute-dropped canister. Altitude of the bomb and canister-carrying aircraft at drop time was also a variable parameter. The analysis provides an estimate of 16.6 + 0.3 kt for the yield of the Hiroshima weapon. A drop altitude of near 35,500 feet is shown to be consistent with the signal time-of-arrival. This yield value is within the range of other estimates, but the drop altitude is higher than that previously assumed to be reasonable.

Kennedy, L.W.; Roth, L.A.; Needham, C.E.

1984-06-15T23:59:59.000Z

457

Calculation of radiation therapy dose using all particle Monte Carlo transport  

DOE Patents (OSTI)

The actual radiation dose absorbed in the body is calculated using three-dimensional Monte Carlo transport. Neutrons, protons, deuterons, tritons, helium-3, alpha particles, photons, electrons, and positrons are transported in a completely coupled manner, using this Monte Carlo All-Particle Method (MCAPM). The major elements of the invention include: computer hardware, user description of the patient, description of the radiation source, physical databases, Monte Carlo transport, and output of dose distributions. This facilitated the estimation of dose distributions on a Cartesian grid for neutrons, photons, electrons, positrons, and heavy charged-particles incident on any biological target, with resolutions ranging from microns to centimeters. Calculations can be extended to estimate dose distributions on general-geometry (non-Cartesian) grids for biological and/or non-biological media.

Chandler, William P. (Tracy, CA); Hartmann-Siantar, Christine L. (San Ramon, CA); Rathkopf, James A. (Livermore, CA)

1999-01-01T23:59:59.000Z

458

Thermodynamic calculations of calcium carbonate scaling in geothermal wells, Dixie Valley geothermal field, U. S. A  

Science Conference Proceedings (OSTI)

Wells in the Dixie Valley geothermal field of central Nevada intercept a fracture-dominated hydrothermal system at depths of 2.5 to 3 km. The reservoir water is a dilute sodium-bicarbonate-chloride type of solution thought to be in equilibrium with quartz, calcite, chlorite, and albite. Fluid sampling and chemical analysis of production during an early flow test gave remarkably low calcium concentrations. Thermodynamic calculations of mineral stability in the presence of the reservoir water indicate that five times the amount of calcium measured in fluid reaching the surface is actually in solution in the reservoir fluid. Approximately 80 percent of the calcium is lost as calcium carbonate scale on the well casing before the fluid reaches the surface. The results of thermodynamic calculations compare well with the scale-volume measurements of Benoit.

Reed, M.J. (Geothermal Technology Div., U.S. Dept. of Energy, Washington, DC (US))

1989-01-01T23:59:59.000Z

459

Foodborne Illness Cost Calculator | Data.gov  

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

Foodborne Illness Cost Calculator Foodborne Illness Cost Calculator Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Foodborne Illness Cost Calculator Dataset Summary Description The calculator provides information on the assumptions behind foodborne illness cost estimates and gives you a chance to make your own assumptions and calculate your own cost estimates. This interactive web-based tool allows users to estimate the cost of illness due to specific foodborne pathogens. The updated ERS cost estimate for Shiga-toxin producing E. coli O157 (STEC O157) was added to the Calculator in spring, 2008. Calculator users can now review and change the assumptions behind the ERS cost estimates for either STEC O157 or Salmonella. The assumptions that can be modified include the annual number of cases, the distribution of cases by severity, the use or costs of medical care, the amount or value of time lost from work, the costs of premature death, and the disutility costs for nonfatal cases. Users can also update the cost estimate for inflation for any year from 1997 to 2007.

460

Radiation-damage calculations with NJOY  

SciTech Connect

Atomic displacement, gas production, transmutation, and nuclear heating can all be calculated with the NJOY nuclear data processing system using evaluated data in ENDF/B format. Using NJOY helps assure consistency between damage cross sections and those used for transport, and NJOY provides convenient interface formats for linking data to application codes. Unique features of the damage calculation include a simple momentum balance treatment for radiative capture and a new model for (n, particle) reactions based on statistical model calculations. Sample results for iron and nickel are given and compared with the results of other methods.

MacFarlane, R.E.; Muir, D.W.; Mann, F.W.

1983-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maps calculated actual" 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

Calculating the Diffuse Responsivity of Solar Pyranometers  

DOE Green Energy (OSTI)

Pyranometers are used to measure the global and diffuse components of solar irradiance. One of the methods to calculate the unshade (global) responsivity of a pyranometer is the standard shading method, described in the Annual Book of ASTM Standards, section 14, volume 14.02. In this paper, the standard method is used to calculate the shade (diffuse) responsivity of a pyranometer by accounting for the zenith and azimuth response of the pyranometer. A discussion of the effect of pyranometer offset on the calculated responsivity is also presented.

Reda, I.; Myers, D.

1999-08-16T23:59:59.000Z

462

Sea ice mapping method for seawinds  

E-Print Network (OSTI)

Abstract—A sea ice mapping algorithm for SeaWinds is developed that incorporates statistical and spatial a priori information in a modified maximum a posteriori (MAP) framework. Spatial a priori data are incorporated in the loss terms of a Bayes risk formulation. Conditional distributions and priors for sea ice and ocean statistics are represented as empirical histograms that are forced to conform to a set of expected histograms via principal component filtering. Tuning parameters for the algorithm allow adjustments in the algorithm’s performance. Results of the algorithm exhibit high correlation with the Remund–Long sea ice mapping algorithm for SeaWinds and the Special Sensor Microwave/Imager National Aeronautics and Space Administration Team 30 % ice edge, and are verified with RADARSAT-1 ScanSAR imagery. The resulting sea ice maps exhibit high edge detail, preserve polynyas and ice bodies disjoint from the primary ice sheet, and thus are suitable for use with wind retrieval and sea ice studies. Principles employed in the algorithm may be of interest in other classification studies. Index Terms—Bayes method, maximum a posteriori (MAP), principal components, QuikSCAT, scatterometer, sea ice extent, SeaWinds. I.

Hyrum S. Anderson; Student Member; David G. Long; Senior Member

2005-01-01T23:59:59.000Z

463

Development of ontology through different advances of ontology mapping  

Science Conference Proceedings (OSTI)

Existing ontology mapping tools differ in terms of the task for which the mapping tools are designed. As a result, direct comparison is difficult to conduct due to the disparate nature of the tools. In this paper, a benchmark case of manual mapping is ... Keywords: comparative study, ontology, ontology development, ontology mapping, performance evaluation

Syerina Azlin Md Nasir; Nor Laila Md Noor

2012-03-01T23:59:59.000Z

464

How do I display the Map of Wind Farms csv coordinates in ArcMap software?  

Open Energy Info (EERE)

How do I display the Map of Wind Farms csv coordinates in ArcMap software? How do I display the Map of Wind Farms csv coordinates in ArcMap software? Home > Groups > Geospatial I downloaded the Map of Wind Farms data as a .csv from http://en.openei.org/wiki/Map_of_Wind_Farms/Data. The downloaded data contains the latitude and longitude values in a single column. ArcMap requires separate fields for lat/long. Also, there is a strange character at the end of the coordinate values, °. It looks like this might be due to using the degree symbol? Will this cause an issue when attempting to import the downloaded data into ESRI ArcMap software? Thanks for any guidance you can provide! Submitted by Scourer on 10 September, 2013 - 09:40 1 answer Points: 1 Hi- Yes, you are correct with determining why the ° characters appear in the

465

How do I display the Map of Wind Farms csv coordinates in ArcMap software?  

Open Energy Info (EERE)

display the Map of Wind Farms csv coordinates in ArcMap software? display the Map of Wind Farms csv coordinates in ArcMap software? Home > Groups > Geospatial I downloaded the Map of Wind Farms data as a .csv from http://en.openei.org/wiki/Map_of_Wind_Farms/Data. The downloaded data contains the latitude and longitude values in a single column. ArcMap requires separate fields for lat/long. Also, there is a strange character at the end of the coordinate values, °. It looks like this might be due to using the degree symbol? Will this cause an issue when attempting to import the downloaded data into ESRI ArcMap software? Thanks for any guidance you can provide! Submitted by Scourer on 10 September, 2013 - 09:40 1 answer Points: 1 Hi- Yes, you are correct with determining why the ° characters appear in the CSV. This is an artifact of transforming the coordinates to values for the

466

Stakeholder Engagement and Outreach: Offshore 90-Meter Wind Maps and Wind  

Wind Powering America (EERE)

Offshore 90-Meter Wind Maps and Wind Resource Potential Offshore 90-Meter Wind Maps and Wind Resource Potential The Stakeholder Engagement and Outreach initiative provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California offshore wind map. Texas offshore wind map. Minnesota offshore wind map. Lousiana offshore wind map. Wisconsin offshore wind map. Michigan offshore wind map. Michigan offshore wind map. Illinois offshore wind map. Indiana offshore wind map. Ohio offshore wind map. Georgia offshore wind map. South Carolina offshore wind map. North Carolina offshore wind map. Virginia offshore wind map. Maryland offshore wind map. Pennsylvania offshore wind map. Delaware offshore wind map. New Jersey offshore wind map. New York offshore wind map. Maine offshore wind map. Massachusetts offshore wind map. Rhode Island offshore wind map. Connecticut offshore wind map. Hawaii offshore wind map. Delaware offshore wind map. New Hampshire offshore wind map.

467

Mapping Applications to Advanced Metering Infrastructure Capabilities  

Science Conference Proceedings (OSTI)

There is a clear need in the industry to understand the applications in which advanced metering infrastructure (AMI) systems and data can be used. This white paper series will investigate how utilities that have implemented AMI systems are actually using these systems. This first white paper in the series will determine the broad range of potential applications of AMI systems and data. The next paper will identify the applications currently being used by utilities that have fully implemented AMI ...

2013-08-31T23:59:59.000Z

468

REN21 Renewables Interactive Map | Open Energy Information  

Open Energy Info (EERE)

REN21 Renewables Interactive Map REN21 Renewables Interactive Map (Redirected from REN21's Renewables Interactive Map) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: REN21's Renewables Interactive Map Agency/Company /Organization: Renewable Energy Policy Network for the 21st Century (REN21) Sector: Energy Focus Area: Renewable Energy Topics: Market analysis, Policies/deployment programs, Resource assessment Resource Type: Dataset, Maps Website: www.map.ren21.net/ References: Renewables Interactive Map[1] The REN21 Renewables Interactive Map provides information on renewable energy policies, expansion targets, current shares, installed capacity, current production, future scenarios, and policy pledges. References ↑ "Renewables Interactive Map" Retrieved from "http://en.openei.org/w/index.php?title=REN21_Renewables_Interactive_Map&oldid=383282"

469

Urban Transportation Emission Calculator | Open Energy Information  

Open Energy Info (EERE)

Urban Transportation Emission Calculator Urban Transportation Emission Calculator Jump to: navigation, search Tool Summary Name: Urban Transportation Emission Calculator Agency/Company /Organization: Transport Canada Sector: Energy Focus Area: Transportation Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Website Website: wwwapps.tc.gc.ca/Prog/2/UTEC-CETU/Menu.aspx?lang=eng Cost: Free References: http://wwwapps.tc.gc.ca/Prog/2/UTEC-CETU/Menu.aspx?lang=eng The Urban Transportation Emissions Calculator (UTEC) is a user-friendly tool for estimating annual emissions from personal, commercial, and public transit vehicles. It estimates greenhouse gas (GHG) and criteria air contaminant (CAC) emissions from the operation of vehicles. It also estimates upstream GHG emissions from the production, refining and

470

What is the GREET Fleet Footprint Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

GREET Fleet Calculator can estimate petroleum and carbon GREET Fleet Calculator can estimate petroleum and carbon footprints of both on-road vehicles and off-road equipment. What is the GREET Fleet Footprint Calculator? As early adopters of new vehicle technologies, fleets are vital to the success of alternative fuels and advanced vehicles (AFVs). The Greenhouse gases, Regulated Emis- sions, and Energy use in Transportation (GREET) Fleet Foot- print Calculator can help fleets decide on the AFVs that will best help them meet a variety of organizational goals and legal requirements, including reducing their petroleum use and greenhouse gas (GHG) emissions. Currently, the United States imports nearly half of its oil. 1 Because the United States uses about 70% of its oil for transportation, decreasing petroleum consumption in vehicles can substantially

471

Historical river flow rates for dose calculations  

Science Conference Proceedings (OSTI)

Annual average river flow rates are required input to the LADTAP Computer Code for calculating offsite doses from liquid releases of radioactive materials to the Savannah River. The source of information on annual river flow rates used in dose calculations varies, depending on whether calculations are for retrospective releases or prospective releases. Examples of these types of releases are: Retrospective - releases from routine operations (annual environmental reports) and short term release incidents that have occurred. Prospective - releases that might be expected in the future from routine or abnormal operation of existing or new facilities (EIS`s, EID`S, SAR`S, etc.). This memorandum provides historical flow rates at the downstream gauging station at Highway 301 for use in retrospective dose calculations and derives flow rate data for the Beaufort-Jasper and Port Wentworth water treatment plants.

Carlton, W.H.

1991-06-10T23:59:59.000Z

472

Molecular dynamics calculation of free energy  

Science Conference Proceedings (OSTI)

The results of a systematic study of a recently proposed method by Frenkel and Ladd for calculating free energies via molecular dynamics are reported. Internal measures of the error

J. F. Lutsko; D. Wolf; S. Yip

1988-01-01T23:59:59.000Z

473

Why first-principles calculations for alloys  

Science Conference Proceedings (OSTI)

A brief non-technical overview of first-principles calculations is presented, with emphasis on prediction of phase equilibria. Merits and drawbacks of various methods are briefly discussed.

de Fontaine, D.

1991-10-01T23:59:59.000Z

474

Why first-principles calculations for alloys?  

Science Conference Proceedings (OSTI)

A brief non-technical overview of first-principles calculations is presented, with emphasis on prediction of phase equilibria. Merits and drawbacks of various methods are briefly discussed.

de Fontaine, D.

1991-10-01T23:59:59.000Z

475

GROA AIRBORNE RELEASE DISPERSION FACTOR CALCULATION  

Science Conference Proceedings (OSTI)

The purpose of this document is to calculate airborne release dispersion factors ({chi}/Q) for the surface and subsurface facilities at the Geological Repository Operations Area (GROA). The calculated {chi}/Q values may be used to estimate radiological consequences to workers for potential releases from normal operations and event sequences for License Application. The scope of this document is to provide estimates of {chi}/Q values at potential onsite receptors from facility releases, under normal operating conditions and event sequences.

J. Wang

2005-03-21T23:59:59.000Z

476

Users enlist consultants to calculate costs, savings  

SciTech Connect

Consultants who calculate payback provide expertise and a second opinion to back up energy managers' proposals. They can lower the costs of an energy-management investment by making complex comparisons of systems and recommending the best system for a specific application. Examples of payback calculations include simple payback for a school system, a university, and a Disneyland hotel, as well as internal rate of return for a corporate office building and a chain of clothing stores. (DCK)

1982-05-24T23:59:59.000Z

477

HYDRAULIC CALCULATIONS FOR A MODIFIED IN-SITU RETORT  

E-Print Network (OSTI)

LBL-1 0431 UC-91 HYDRAULIC CALCULATIONS FOR A MODIFIED IN-REFERENCES • . • • • • . , . HYDRAULIC CALCULATIONS FOR ACalifomia. LBL-10431 HYDRAULIC CALCULATIONS FOR A MODIFIED

Hall, W.G.

2012-01-01T23:59:59.000Z

478

Tool and Calculator (Transit, Fuel) | Open Energy Information  

Open Energy Info (EERE)

This webside provide Tools & Calculators like Public Transit In Your Community, Fuel Saving Calculator, Carbon saving calculator, Transit Savings Report and transit benefits...

479

Calculators for Estimating Greenhouse Gas Emissions from Public  

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

CALCULATORS Tables 1 and 2 list the GHG emissions calculators found by a literature search of published sources. The literature search for calculators was conducted through...

480

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Alternative Fueling Stations Alternative Fueling Stations All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Laws & Incentives Regulated Fleets Federal Fleets State & Alt Fuel Providers Clean Cities Vehicles Petroleum Use Reduction Program OR Go Sort by: Category Most Recent Most Popular 13 results Arra-thumb ARRA Electrification Projects Arra-thumb Last update November 2012 View Map Graph Biofuelsatlas BioFuels Atlas Biofuelsatlas BioFuels Atlas is an interactive map for comparing biomass feedstocks and biofuels by location. This tool helps users select from and apply biomass data layers to a map, as well as query and download biofuels and feedstock

Note: This page contains sample records for the topic "maps calculated actual" 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

Utility Data Accessibility Map | Open Energy Information  

Open Energy Info (EERE)

Utility Data Accessibility Map Utility Data Accessibility Map Jump to: navigation, search Residential Commercial Benchmarking Energy Efficiency Delivery of Data Time Period Frequency of Data Access to Data Residential frequency of data access Ua Utility Data Access Map Having access to your electricity use data is a very important step in understanding your overall energy usage. Comparing historical data to your current usage is one way to see trends and determine ways for reducing electricity costs and improving overall efficiency. We asked all U.S. electric utility companies to tell us how accessible their electricity use data is for both residential and commercial customers. The results are updated live based on the responses we have to date. As more utilities provide information, the utility boundaries will be automatically colored

482

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Laws & Incentives Laws & Incentives All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Fuels & Infrastructure Fuel Trends Emissions Alternative Fueling Stations Idle Reduction Transportation Infrastructure Biofuels Production Laws & Incentives Regulated Fleets Federal Fleets State & Alt Fuel Providers Clean Cities Vehicles Petroleum Use Reduction Program OR Go Sort by: Category Most Recent Most Popular 11 results - Biodiesel_li_by_state Biodiesel Incentives and Laws, by State Biodiesel_li_by_state View Map Graph L_i-electric Electric Vehicle Incentives and Laws, by State L_i-electric View Map Graph L_i-ethanol Ethanol Incentives and Laws, by State L_i-ethanol View Map Graph Generated_thumb20130810-31804-1h8ookf Fuel Taxes by Country Generated_thumb20130810-31804-1h8ookf

483

Site Map | Scientific and Technical Information Program  

Office of Scientific and Technical Information (OSTI)

Site Map Site Map Print page Print page Email page Email page Home About Site Map Contact Us Search STIP For DOE Program Managers/Project Officers Contracting Officers and Contract Specialists Investigators / Authors DOE and Major Site Contractors University or R&D and Other Contracts DOE STI Program Reps STI Managers Technical Information Officers STI Releasing Officials Roles and Responsibilities OSTI DOE Element STI Managers Technical Information Officers Mandates and Guidance DOE Order 241.1B DOE Order 241.1A (Archived Version) STI-Related DOE Directives Laws, Policies, and Schedules Reference Acronyms and Initialisms Definitions STI Annnouncement Web Services Sponsoring Organizations STI Subject Categories ETDE/INIS Joint Thesaurus What Is STI? STI Defined Types of STI What Is NOT STI?

484

Los Alamos researchers create 'map of science'  

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

Map of science Map of science Los Alamos researchers create 'Map of Science' A high-resolution graphic depiction of the virtual trails scientists leave behind when they retrieve information from online services. March 11, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Contact James E. Rickman

485

Sustaining the Internet with hyperbolic mapping  

E-Print Network (OSTI)

The Internet infrastructure is severely stressed. Rapidly growing overhead associated with the primary function of the Internet---routing information packets between any two computers in the world---causes concerns among Internet experts that the existing Internet routing architecture may not sustain even another decade; parts of the Internet have started sinking into black holes already. Here we present a method to map the Internet to a hyperbolic space. Guided with the constructed map, which we release with this paper, Internet routing exhibits scaling properties close to theoretically best possible, thus resolving serious scaling limitations that the Internet faces today. Besides this immediate practical viability, our network mapping method can provide a different perspective on the community structure in complex networks.

Boguna, Marian; Krioukov, Dmitri

2010-01-01T23:59:59.000Z

486

Turbine adapted maps for turbocharger engine matching  

Science Conference Proceedings (OSTI)

This paper presents a new representation of the turbine performance maps oriented for turbocharger characterization. The aim of this plot is to provide a more compact and suited form to implement in engine simulation models and to interpolate data from turbocharger test bench. The new map is based on the use of conservative parameters as turbocharger power and turbine mass flow to describe the turbine performance in all VGT positions. The curves obtained are accurately fitted with quadratic polynomials and simple interpolation techniques give reliable results. Two turbochargers characterized in an steady flow rig were used for illustrating the representation. After being implemented in a turbocharger submodel, the results obtained with the model have been compared with success against turbine performance evaluated in engine tests cells. A practical application in turbocharger matching is also provided to show how this new map can be directly employed in engine design. (author)

Tancrez, M. [PSA - Peugeot Citroen, 18 rue des fauvelles, La Garenne-Colombes (France); Galindo, J.; Guardiola, C.; Fajardo, P.; Varnier, O. [CMT - Motores Termicos, Universidad Politecnica de Valencia (Spain)

2011-01-15T23:59:59.000Z

487

Demonstration of the UNEX Process for the Simultaneous Separation of Cesium, Strontium, and the Actinides from Actual INEEL Tank Waste  

Science Conference Proceedings (OSTI)

A universal solvent extraction (UNEX) process for the simultaneous separation of cesium, strontium, and the actinides from actual radioactive acidic tank waste was demonstrated at the Idaho National Engineering and Environmental Laboratory. The waste solution used in the countercurrent flowsheet demonstration was obtained from tank WM-185. The UNEX process uses a tertiary solvent containing 0.08 M chlorinated cobalt dicarbollide, 0.5% polyethylene glycol-400 (PEG-400), and 0.02 M diphenyl-N,N-dibutylcarbamoyl phosphine oxide (Ph2Bu2CMPO) in a diluent consisting of phenyltrifluoromethyl sulfone (FS-13). The countercurrent flowsheet demonstration was performed in a shielded cell facility using 24 stages of 2-cm diameter centrifugal contactors. Removal efficiencies of 99.4%, 99.995%, and 99.96% were obtained for 137Cs, 90Sr, and total alpha, respectively. This is sufficient to reduce the activities of 137Cs, 90Sr, and actinides in the WM-185 waste to below NRC Class A LLW requirement s. Flooding and/or precipitate formation were not observed during testing. Significant amounts of the Zr (87%), Ba (>99%), Pb (98.8%), Fe (8%), Ca (10%), Mo (32%), and K (28%) were also removed from the feed with the universal solvent extraction flowsheet. 99Tc, Al, Hg, and Na were essentially inextractable (<1% extracted).

Law, J.D.; Herbst, R.S.; Todd, T.A. (INEEL); Romanovskiy, V.N.; Esimantovskiy, V.M.; Smirnov, I.V.; Babain, V.A.; Zaitsev, B.N. (V. G. Khlopin Radium Institute); Logunov, M.V. (MAYAK Production Association)

1999-10-01T23:59:59.000Z

488

Demonstration of the SREX process for the removal of {sup 90}Sr from actual highly radioactive solutions in centrifugal contactors  

Science Conference Proceedings (OSTI)

The SREX process is being evaluated at the Idaho Chemical Processing Plant (ICPP) for the separation of {sup 90}Sr from acidic radioactive wastes stored at the ICPP. These efforts have culminated in a recent demonstration of the SREX process with actual tank waste. This demonstration was performed using 24 stages of 2-cm diameter centrifugal contactors installed in a shielded hot cell at the ICPP Remote Analytical Laboratory. An overall removal efficiency of 99.995% was obtained for {sup 90}Sr. As a result, the activity of {sup 90}Sr was reduced from 201 Ci/m{sup 3} in the feed solution of 0.0089 Ci/m{sup 3} in the aqueous raffinate, which is below the U.S. NRC Class A LLW limit of 0.04 Ci/m{sup 3} for {sup 90}Sr. Lead was extracted by the SREX solvent and successfully partitioned from the {sup 90}Sr using an ammonium citrate strip solution. Additionally, 94% of the total alpha activity, 1.9% of the {sup 241}Am, 99.94% of the {sup 238}Pu, 99.97% of the {sup 239}Pu, 36.4% of the K, 64% of the Ba, and >83% of the Zr were extracted by the SREX solvent. Cs, B, Cd, Ca, Cr, Fe, Mn, Ni, and Na were essentially inextractable. 10 refs., 2 figs., 3 tabs.

Law, J.D.; Wood, D.J.; Todd, T.A.; Olson, L.G.

1997-10-01T23:59:59.000Z

489

Mapping multiple gas/odor sources in an uncontrolled indoor environment using a Bayesian occupancy grid mapping based method  

Science Conference Proceedings (OSTI)

In this paper we address the problem of autonomously localizing multiple gas/odor sources in an indoor environment without a strong airflow. To do this, a robot iteratively creates an occupancy grid map. The produced map shows the probability each discrete ... Keywords: Gas source localization, Gas source mapping, Indoor monitoring, Occupancy grid mapping

Gabriele Ferri; Michael V. Jakuba; Alessio Mondini; Virgilio Mattoli; Barbara Mazzolai; Dana R. Yoerger; Paolo Dario

2011-11-01T23:59:59.000Z

490

On Diagonalization in Map(M,G)  

E-Print Network (OSTI)

Motivated by some questions in the path integral approach to (topological) gauge theories, we are led to address the following question: given a smooth map from a manifold $M$ to a compact group $G$, is it possible to smoothly `diagonalize' it, i.e.~conjugate it into a map to a maximal torus $T$ of $G$? We analyze the local and global obstructions and give a complete solution to the problem for regular maps. We establish that these can always be smoothly diagonalized locally and that the obstructions to doing this globally are non-trivial Weyl group and torus bundles on $M$. We show how the patching of local diagonalizing maps gives rise to non-trivial $T$-bundles, explain the relation to winding numbers of maps into $G/T$ and restrictions of the structure group and examine the behaviour of gauge fields under this diagonalization. We also discuss the complications that arise for non-regular maps and in the presence of non-trivial $G$-bundles. In particular, we establish a relation between the existence of regular sections of a non-trivial adjoint bundle and restrictions of the structure group of a principal $G$-bundle to $T$. We use these results to justify a Weyl integral formula for functional integrals which, as a novel feature not seen in the finite-dimensional case, contains a summation over all those topological $T$-sectors which arise as restrictions of a trivial principal $G$ bundle and which was used previously to solve completely Yang-Mills theory and the $G/G$ model in two dimensions.

Matthias Blau; George Thompson

1994-02-16T23:59:59.000Z

491

HCEI Road Map: 2011 Edition (Brochure)  

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

Road Map Road Map 2011 Edition 2 www.hawaiicleanenergyinitiative.org The Hawaii Clean Energy Initiative (HCEI) was founded based on a Memorandum of Understanding (MOU) between the State of Hawaii and the U.S. Department of Energy on Jan. 28, 2008. Upon inception, the State and the Department worked to form a series of working groups incorporating a variety of stakeholders throughout the state, including local government, not-for-profit organizations, private sector companies, trade associations, Department of Defense representatives (including PACOM) and academic organizations, among others. These working groups form

492

HCEI Road Map: 2011 Edition (Brochure)  

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

HCEI Road Map HCEI Road Map 2011 Edition 2 www.hawaiicleanenergyinitiative.org The Hawaii Clean Energy Initiative (HCEI) was founded based on a Memorandum of Understanding (MOU) between the State of Hawaii and the U.S. Department of Energy on Jan. 28, 2008. Upon inception, the State and the Department worked to form a series of working groups incorporating a variety of stakeholders throughout the state, including local government, not-for-profit organizations, private sector companies, trade associations, Department of Defense representatives (including PACOM) and academic organizations, among others. These working groups form

493

Site Map for fueleconomy.gov  

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

Hybrid Calculator Benefits Why is fuel economy important? Reduce Climate Change Reduce Oil Dependence Costs Increase Energy Sustainability Save Money Your MPG - Home Register or...

494

Stakeholder Engagement and Outreach: Residential-Scale 30-Meter Wind Maps  

Wind Powering America (EERE)

Residential-Scale 30-Meter Wind Maps Residential-Scale 30-Meter Wind Maps The Stakeholder Engagement and Outreach initiative provides 30-meter (m) height, high-resolution wind resource maps for the United States. Businesses, farms, and homeowners use residential-scale wind resource maps to identify wind sites that may be appropriate for small-scale wind projects. A wind resource map of the United States. Go to the California wind resource map. Go to the Washington wind resource map. Go to the Oregon wind resource map. Go to the Idaho wind resource map. Go to the Nevada wind resource map. Go to the Montana wind resource map. Go to the Wyoming wind resource map. Go to the Utah wind resource map. Go to the Colorado wind resource map. Go to the Arizona wind resource map. Go to the New Mexico wind resource map. Go to the North Dakota wind resource map. Go to the South Dakota wind resource map. Go to the Nebraska wind resource map. Go to the Kansas wind resource map. Go to the Oklahoma wind resource map. Go to the Texas wind resource map. Go to the Minnesota wind resource map. Go to the Iowa wind resource map. Go to the Missouri wind resource map. Go to the Arkansas wind resource map. Go to the Louisiana wind resource map. Go to the Wisconsin wind resource map. Go to the Illinois wind resource map. Go to the Indiana wind resource map. Go to the Michigan wind resource map. Go to the Ohio wind resource map. Go to the Kentucky wind resource map. Go to the Tennessee wind resource map. Go to the Mississippi wind resource map. Go to the Alabama wind resource map. Go to the Florida wind resource map. Go to the Georgia wind resource map. Go to the South Carolina wind resource map. Go to the North Carolina wind resource map. Go to the Virginia wind resource map. Go to the West Virginia wind resource map. Go to the Pennsylvania wind resource map. Go to the Maryland wind resource map. Go to the Delaware wind resource map. Go to the New Jersey wind resource map. Go to the New York wind resource map. Go to the Connecticut wind resource map. Go to the Rhode Island wind resource map. Go to the Massachusetts wind resource map. Go to the Vermont wind resource map. Go to the New Hampshire wind resource map. Go to the Maine wind resource map. Go to the Alaska wind resource map. Go to the Hawaii wind resource map.

495

DRY TRANSFER FACILITY CRITICALITY SAFETY CALCULATIONS  

SciTech Connect

This design calculation updates the previous criticality evaluation for the fuel handling, transfer, and staging operations to be performed in the Dry Transfer Facility (DTF) including the remediation area. The purpose of the calculation is to demonstrate that operations performed in the DTF and RF meet the nuclear criticality safety design criteria specified in the ''Project Design Criteria (PDC) Document'' (BSC 2004 [DIRS 171599], Section 4.9.2.2), the nuclear facility safety requirement in ''Project Requirements Document'' (Canori and Leitner 2003 [DIRS 166275], p. 4-206), the functional/operational nuclear safety requirement in the ''Project Functional and Operational Requirements'' document (Curry 2004 [DIRS 170557], p. 75), and the functional nuclear criticality safety requirements described in the ''Dry Transfer Facility Description Document'' (BSC 2005 [DIRS 173737], p. 3-8). A description of the changes is as follows: (1) Update the supporting calculations for the various Category 1 and 2 event sequences as identified in the ''Categorization of Event Sequences for License Application'' (BSC 2005 [DIRS 171429], Section 7). (2) Update the criticality safety calculations for the DTF staging racks and the remediation pool to reflect the current design. This design calculation focuses on commercial spent nuclear fuel (SNF) assemblies, i.e., pressurized water reactor (PWR) and boiling water reactor (BWR) SNF. U.S. Department of Energy (DOE) Environmental Management (EM) owned SNF is evaluated in depth in the ''Canister Handling Facility Criticality Safety Calculations'' (BSC 2005 [DIRS 173284]) and is also applicable to DTF operations. Further, the design and safety analyses of the naval SNF canisters are the responsibility of the U.S. Department of the Navy (Naval Nuclear Propulsion Program) and will not be included in this document. Also, note that the results for the Monitored Geologic Repository (MGR) Site specific Cask (MSC) calculations are limited to the specific design chosen (see Assumption 3.4). A more current design will be included in the next revision of the criticality calculations for the Aging Facility. In addition, this calculation is valid for the current design as provided in Attachment III of the DTF and may not reflect the ongoing design evolution of the facility. However, it is anticipated that design changes to the facility layout will have little or no impact on the criticality results and/or conclusions presented in this document.

C.E. Sanders

2005-05-17T23:59:59.000Z

496

Category:Maps | Open Energy Information  

Open Energy Info (EERE)

in category "Maps" The following 2 files are in this category, out of 2 total. 3pct csp sw.jpg 3pct csp sw.jpg 1.43 MB Us windmap 80meters.jpg Us windmap 80meters.jpg 4.07 MB...

497

ARMAR: An Airborne Rain-Mapping Radar  

Science Conference Proceedings (OSTI)

A new airborne rain-mapping radar (ARMAR) has been developed by NASA and the Jet Propulsion Laboratory for operation on the NASA Ames DC-8 aircraft. The radar operates at 13.8 GHz, the frequency to be used by the radar on the Tropical Rainfall ...

S. L. Durden; E. Im; F. K. Li; W. Ricketts; A. Tanner; W. Wilson

1994-06-01T23:59:59.000Z

498

A Visual Language for Data Mapping  

SciTech Connect

I discuss a visual programming language and environment for doing data mapping between textual data files. Our experience using the environment is documented, as well as many of the constructs we used in the environment. I relate problems and solutions, and pose some questions to the readers of this document and the workshop.

Carlson, J

2001-08-10T23:59:59.000Z

499

Mapping Frost Occurrence Using Satellite Data  

Science Conference Proceedings (OSTI)

Detailed maps of the date of the first and last frost, the length of the frost-free period, and the number of days of frost during spring have been produced for the Otago region of New Zealand. These frost occurrence variables are estimated using ...

Andrew Tait; Xiaogu Zheng

2003-02-01T23:59:59.000Z

500

Entangling and disentangling capacities of nonlocal maps  

E-Print Network (OSTI)

Entangling and disentangling capacities are the key manifestation of the nonlocal content of a quantum operation. A lot of effort has been put recently into investigating (dis)entangling capacities of unitary operations, but very little is known about capacities of non-unitary operations. Here we investigate (dis)entangling capacities of unital CPTP maps acting on two qubits.

Berry Groisman

2007-04-08T23:59:59.000Z