National Library of Energy BETA

Sample records for model output loc

  1. Climate Model Output Rewriter

    Energy Science and Technology Software Center (OSTI)

    2004-06-21

    CMOR comprises a set of FORTRAN 90 dunctions that can be used to produce CF-compliant netCDF files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as "MIPS", which stands for "model intercomparison project", including, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs), CMOR was not designed to serve as anmore » all-purpose wfiter of CF-compliant netCDF files, but simply to reduce the effort required to prepare and manage MIP data. Although MIPs encourage systematic analysis of results across models, this is only easy to do if the model output is written in a common format with files structured similarly and with sufficient metadata uniformly stored according to a common standard. Individual modeling groups store their data in different ways. but if a group can read its own data with FORTRAN, then it should easily be able to transform the data, using CMOR, into the common format required by the MIPs, The adoption of CMOR as a standard code for exchanging climate data will facilitate participation in MIPs because after learning how to satisfy the output requirements of one MIP, it will be easy to prepare output for the other MIPs.« less

  2. Bayesian approaches for combining computational model output...

    Office of Scientific and Technical Information (OSTI)

    for combining computational model output and physical observations Authors: Higdon, David M 1 ; Lawrence, Earl 1 ; Heitmann, Katrin 2 ; Habib, Salman 2 + Show Author...

  3. PV output variability modeling using satellite imagery.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Reno, Matthew J.

    2010-11-01

    High frequency irradiance variability measured on the ground is caused by the formation, dissipation, and passage of clouds in the sky. If we can identify and associate different cloud types/patterns from satellite imagery, we may be able to predict irradiance variability in areas lacking sensors. With satellite imagery covering the entire U.S., this allows for more accurate integration planning and power flow modeling over wide areas. Satellite imagery from southern Nevada was analyzed at 15 minute intervals over a year. Methods for image stabilization, cloud detection, and textural classification of clouds were developed and tested. High Performance Computing parallel processing algorithms were also investigated and tested. Artificial Neural Networks using imagery as inputs were trained on ground-based measurements of irradiance to model the variability and were tested to show some promise as a means for predicting irradiance variability.

  4. Community Climate System Model (CCSM) Experiments and Output Data

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

    The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

  5. Bayesian approaches for combining computational model output and physical

    Office of Scientific and Technical Information (OSTI)

    observations (Conference) | SciTech Connect Bayesian approaches for combining computational model output and physical observations Citation Details In-Document Search Title: Bayesian approaches for combining computational model output and physical observations Authors: Higdon, David M [1] ; Lawrence, Earl [1] ; Heitmann, Katrin [2] ; Habib, Salman [2] + Show Author Affiliations Los Alamos National Laboratory ANL Publication Date: 2011-07-25 OSTI Identifier: 1084581 Report Number(s):

  6. Input-output model for MACCS nuclear accident impacts estimation

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  7. PBF LOCA test LOC-6 fuel-behavior report. [PWR

    SciTech Connect (OSTI)

    Broughton, T.M.; Vinjamuri, K.; Hagrman, D.L.; Golden, D.W.; MacDonald, P.E.

    1983-04-01

    This report presents the results of Loss-of-Coolant (LOC) Test LOC-6, conducted in the Power Burst Facility at the Idaho National Engineering Laboratory by EG and G Idaho, Inc., for the US Nuclear Regulatory Commission. Postirradiation examination results are included, together with the results of thermal-hydraulic and fuel behavior calculations using the RELAP4 and FRAP-T6/BALON-2 computer codes. Two of the four light water reactor type fuel rods ballooned and ruptured during the test. Peak cladding temperatures at the rupture locations were high in the alpha phase (1066 and 1098/sup 0/K). The effects of initial rod internal prepressurization and prior irradiation were investigated during the experiment. The effect of rod prepressurization was found to be significant, and, for burnups of about 17,000 MWd/t, prior irradiation increased cladding circumferential strains at failure.

  8. An Advanced simulation Code for Modeling Inductive Output Tubes

    SciTech Connect (OSTI)

    Thuc Bui; R. Lawrence Ives

    2012-04-27

    During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated.

  9. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Khangaonkar, Tarang; Wang, Taiping

    2011-06-01

    It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.

  10. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the frameworks functionality to bridge the gap between the users knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  11. Using Weather Data and Climate Model Output in Economic Analyses of Climate Change

    SciTech Connect (OSTI)

    Auffhammer, Maximilian; Hsiang, Solomon M.; Schlenker, Wolfram; Sobel, Adam H.

    2013-06-28

    Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces a set of weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and identifies ways to avoid these pitfalls. We first provide an introduction to weather data, including a summary of the types of datasets available, and then discuss five common pitfalls that empirical researchers should be aware of when using historical weather data as explanatory variables in econometric applications. We then provide a brief overview of climate models and discuss two common and significant errors often made by economists when climate model output is used to simulate the future impacts of climate change on an economic outcome of interest.

  12. Fuel-rod response during the large-break LOCA Test LOC-6. [PWR

    SciTech Connect (OSTI)

    Vinjamuri, K.; Cook, B.A.; Hobbins, R.R.

    1981-01-01

    The large break Loss of Coolant Accident (LOCA) Test LOC-6 was conducted in the Power Burst Facility (PBF) at the Idaho National Engineering Laboratory by EG and G Idaho, Inc. The objectives of the PBF LOCA tests are to obtain in-pile cladding ballooning data under blowdown and reflood conditions and assess how well out-of-pile ballooning data represent in-pile fuel rod behavior. The primary objective of the LOC-6 test was to determine the effects of internal rod pressures and prior irradiation on the deformation behavior of fuel rods that reached cladding temperatures high in the alpha phase of zircaloy. Test LOC-6 was conducted with four rods of PWR 15 x 15 design with the exception of fuel stack length (89 cm) and enrichment (12.5 W% /sup 235/U). Each rod was surrounded by an individual flow shroud.

  13. SAS Output

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

    F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  14. SAS Output

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

    F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  15. SAS Output

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

    F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  16. SAS Output

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

    F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  17. SAS Output

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

    F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  18. SAS Output

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

    F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  19. SAS Output

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

    F. Wood Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  20. SAS Output

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

    F. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities ...

  1. Light output measurements and computational models of microcolumnar CsI scintillators for x-ray imaging

    SciTech Connect (OSTI)

    Nillius, Peter Klamra, Wlodek; Danielsson, Mats; Sibczynski, Pawel; Sharma, Diksha; Badano, Aldo

    2015-02-15

    Purpose: The authors report on measurements of light output and spatial resolution of microcolumnar CsI:Tl scintillator detectors for x-ray imaging. In addition, the authors discuss the results of simulations aimed at analyzing the results of synchrotron and sealed-source exposures with respect to the contributions of light transport to the total light output. Methods: The authors measured light output from a 490-?m CsI:Tl scintillator screen using two setups. First, the authors used a photomultiplier tube (PMT) to measure the response of the scintillator to sealed-source exposures. Second, the authors performed imaging experiments with a 27-keV monoenergetic synchrotron beam and a slit to calculate the total signal generated in terms of optical photons per keV. The results of both methods are compared to simulations obtained with hybridMANTIS, a coupled x-ray, electron, and optical photon Monte Carlo transport package. The authors report line response (LR) and light output for a range of linear absorption coefficients and describe a model that fits at the same time the light output and the blur measurements. Comparing the experimental results with the simulations, the authors obtained an estimate of the absorption coefficient for the model that provides good agreement with the experimentally measured LR. Finally, the authors report light output simulation results and their dependence on scintillator thickness and reflectivity of the backing surface. Results: The slit images from the synchrotron were analyzed to obtain a total light output of 48 keV{sup ?1} while measurements using the fast PMT instrument setup and sealed-sources reported a light output of 28 keV{sup ?1}. The authors attribute the difference in light output estimates between the two methods to the difference in time constants between the camera and PMT measurements. Simulation structures were designed to match the light output measured with the camera while providing good agreement with the measured LR resulting in a bulk absorption coefficient of 5 10{sup ?5} ?m{sup ?1}. Conclusions: The combination of experimental measurements for microcolumnar CsI:Tl scintillators using sealed-sources and synchrotron exposures with results obtained via simulation suggests that the time course of the emission might play a role in experimental estimates. The procedure yielded an experimentally derived linear absorption coefficient for microcolumnar Cs:Tl of 5 10{sup ?5} ?m{sup ?1}. To the authors knowledge, this is the first time this parameter has been validated against experimental observations. The measurements also offer insight into the relative role of optical transport on the effective optical yield of the scintillator with microcolumnar structure.

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2013 414 0 132 206 76 2014 852 88 266 326 173

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Useful Thermal Output by Energy Source: Commercial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Useful Thermal Output by Energy Source: Industrial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 290,407 70,976 14,008 392,974 107,956 641,058 35,284 1,552,663 2005 279,552 70,273 10,616 364,457 101,775 637,803 31,594 1,496,071 2006 272,229 47,320 21,584 376,822 103,481 662,906 38,630 1,522,971 2007 265,948 43,948 23,290 321,648 95,840 625,413 38,380 1,414,466 2008

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2013 1,486 0 96 11 1,379 2014 1,283 3 90 16

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 6,726,679 1,809,443 3,654,320 72,072 1,190,844 2005 7,020,709 2,134,859 3,734,286 67,957 1,083,607 2006 7,404,432 2,478,396 3,743,704 67,735 1,114,597 2007 7,961,922 2,736,418 4,104,991 70,074 1,050,439 2008 7,689,380

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2013 831 0 261 423 147

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0

  6. Revenue Requirements Modeling System (RRMS) documentation. Volume I. Methodology description and user's guide. Appendix A: model abstract; Appendix B: technical appendix; Appendix C: sample input and output. [Compustat

    SciTech Connect (OSTI)

    Not Available

    1986-03-01

    The Revenue Requirements Modeling System (RRMS) is a utility specific financial modeling system used by the Energy Information Administration (EIA) to evaluate the impact on electric utilities of changes in the regulatory, economic, and tax environments. Included in the RRMS is a power plant life-cycle revenue requirements model designed to assess the comparative economic advantage of alternative generating plant. This report is Volume I of a 2-volume set and provides a methodology description and user's guide, a model abstract and technical appendix, and sample input and output for the models. Volume II provides an operator's manual and a program maintenance guide.

  7. Prediction of Lumen Output and Chromaticity Shift in LEDs Using Kalman Filter and Extended Kalman Filter Based Models

    SciTech Connect (OSTI)

    Lall, Pradeep; Wei, Junchao; Davis, J Lynn

    2014-06-24

    Abstract Solid-state lighting (SSL) luminaires containing light emitting diodes (LEDs) have the potential of seeing excessive temperatures when being transported across country or being stored in non-climate controlled warehouses. They are also being used in outdoor applications in desert environments that see little or no humidity but will experience extremely high temperatures during the day. This makes it important to increase our understanding of what effects high temperature exposure for a prolonged period of time will have on the usability and survivability of these devices. Traditional light sources burn out at end-of-life. For an incandescent bulb, the lamp life is defined by B50 life. However, the LEDs have no filament to burn. The LEDs continually degrade and the light output decreases eventually below useful levels causing failure. Presently, the TM-21 test standard is used to predict the L70 life of LEDs from LM-80 test data. Several failure mechanisms may be active in a LED at a single time causing lumen depreciation. The underlying TM-21 Model may not capture the failure physics in presence of multiple failure mechanisms. Correlation of lumen maintenance with underlying physics of degradation at system-level is needed. In this paper, Kalman Filter (KF) and Extended Kalman Filters (EKF) have been used to develop a 70-percent Lumen Maintenance Life Prediction Model for LEDs used in SSL luminaires. Ten-thousand hour LM-80 test data for various LEDs have been used for model development. System state at each future time has been computed based on the state space at preceding time step, system dynamics matrix, control vector, control matrix, measurement matrix, measured vector, process noise and measurement noise. The future state of the lumen depreciation has been estimated based on a second order Kalman Filter model and a Bayesian Framework. Life prediction of L70 life for the LEDs used in SSL luminaires from KF and EKF based models have been compared with the TM-21 model predictions and experimental data.

  8. Application of global weather and climate model output to the design and operation of wind-energy systems

    SciTech Connect (OSTI)

    Curry, Judith

    2015-05-21

    This project addressed the challenge of providing weather and climate information to support the operation, management and planning for wind-energy systems. The need for forecast information is extending to longer projection windows with increasing penetration of wind power into the grid and also with diminishing reserve margins to meet peak loads during significant weather events. Maintenance planning and natural gas trading is being influenced increasingly by anticipation of wind generation on timescales of weeks to months. Future scenarios on decadal time scales are needed to support assessment of wind farm siting, government planning, long-term wind purchase agreements and the regulatory environment. The challenge of making wind forecasts on these longer time scales is associated with a wide range of uncertainties in general circulation and regional climate models that make them unsuitable for direct use in the design and planning of wind-energy systems. To address this challenge, CFAN has developed a hybrid statistical/dynamical forecasting scheme for delivering probabilistic forecasts on time scales from one day to seven months using what is arguably the best forecasting system in the world (European Centre for Medium Range Weather Forecasting, ECMWF). The project also provided a framework to assess future wind power through developing scenarios of interannual to decadal climate variability and change. The Phase II research has successfully developed an operational wind power forecasting system for the U.S., which is being extended to Europe and possibly Asia.

  9. Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China

    SciTech Connect (OSTI)

    Liang Sai; Zhang Tianzhu

    2012-01-15

    Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

  10. Evaluation of the thermal-hydraulic response and fuel rod thermal and mechanical deformation behavior during the power burst facility test LOC-3. [PWR

    SciTech Connect (OSTI)

    Yackle, T.R.; MacDonald, P.E.; Broughton, J.M.

    1980-01-01

    An evaluation of the results from the LOC-3 nuclear blowdown test conducted in the Power Burst Facility is presented. The test objective was to examine fuel and cladding behavior during a postulated cold leg break accident in a pressurized water reactor (PWR). Separate effects of rod internal pressure and the degree of irradiation were investigated in the four-rod test. Extensive cladding deformation (ballooning) and failure occurred during blowdown. The deformation of the low and high pressure rods was similar; however, the previously irradiated test rod deformed to a greater extent than a similar fresh rod exposed to identical system conditions.

  11. Enhanced performance CCD output amplifier

    DOE Patents [OSTI]

    Dunham, Mark E. (Los Alamos, NM); Morley, David W. (Santa Fe, NM)

    1996-01-01

    A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

  12. Using Mesoscale Weather Model Output as Boundary Conditions for Atmospheric Large-Eddy Simulations and Wind-Plant Aerodynamic Simulations (Presentation)

    SciTech Connect (OSTI)

    Churchfield, M. J.; Michalakes, J.; Vanderwende, B.; Lee, S.; Sprague, M. A.; Lundquist, J. K.; Moriarty, P. J.

    2013-10-01

    Wind plant aerodynamics are directly affected by the microscale weather, which is directly influenced by the mesoscale weather. Microscale weather refers to processes that occur within the atmospheric boundary layer with the largest scales being a few hundred meters to a few kilometers depending on the atmospheric stability of the boundary layer. Mesoscale weather refers to large weather patterns, such as weather fronts, with the largest scales being hundreds of kilometers wide. Sometimes microscale simulations that capture mesoscale-driven variations (changes in wind speed and direction over time or across the spatial extent of a wind plant) are important in wind plant analysis. In this paper, we present our preliminary work in coupling a mesoscale weather model with a microscale atmospheric large-eddy simulation model. The coupling is one-way beginning with the weather model and ending with a computational fluid dynamics solver using the weather model in coarse large-eddy simulation mode as an intermediary. We simulate one hour of daytime moderately convective microscale development driven by the mesoscale data, which are applied as initial and boundary conditions to the microscale domain, at a site in Iowa. We analyze the time and distance necessary for the smallest resolvable microscales to develop.

  13. AEO2014: Preliminary Industrial Output

    Gasoline and Diesel Fuel Update (EIA)

    Elizabeth Sendich, Analyst, and Kay Smith, Team Leader Macroeconomic Analysis Team September 26, 2013 Preliminary AEO2014 Macroeconomic Industrial Results DO NOT CITE OR DISTRIBUTE Overview * Preliminary AEO2014 industrial macroeconomic results; runs as of Sept. 23, 2013. * Macroeconomic results are inputs for a variety of NEMS modules, and cover: - Overall economy (for example GDP, interest rates, exports, etc.) - Sectoral detail (for example output of goods and services, employment, etc.) *

  14. Bayesian approaches for combining computational model output...

    Office of Scientific and Technical Information (OSTI)

    ANL Publication Date: 2011-07-25 OSTI Identifier: 1084581 Report Number(s): LA-UR-11-04315; LA-UR-11-4315 DOE Contract Number: AC52-06NA25396 Resource Type: Conference...

  15. Overload protection circuit for output driver

    DOE Patents [OSTI]

    Stewart, Roger G.

    1982-05-11

    A protection circuit for preventing excessive power dissipation in an output transistor whose conduction path is connected between a power terminal and an output terminal. The protection circuit includes means for sensing the application of a turn on signal to the output transistor and the voltage at the output terminal. When the turn on signal is maintained for a period of time greater than a given period without the voltage at the output terminal reaching a predetermined value, the protection circuit decreases the turn on signal to, and the current conduction through, the output transistor.

  16. Modeling

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

    WVMinputs-outputs Permalink Gallery Sandia Labs releases wavelet variability model (WVM) Modeling, News, Photovoltaic, Solar Sandia Labs releases wavelet variability model (WVM) When a single solar photovoltaic (PV) module is in full sunlight, then is shaded by a cloud, and is back in full sunlight in a matter of seconds, a sharp dip then increase in power output will result. However, over an entire PV plant, clouds will often uncover some modules even as they cover others, [...] By Andrea

  17. Motor vehicle output and GDP, 1968-2007.

    SciTech Connect (OSTI)

    Santini, D. J.; Poyer, D. A.

    2008-01-01

    In this paper, we assess the performance of the BEA series 'value of motor vehicle output' as an indicator of the business cycle over the period 1968-2007. We statistically assess the causal relationship between real motor vehicle output (RMVO) and real gross domestic product (RGDP). This is accomplished by standard estimation and statistical methods used to assess vector autoregressive models. This assessment represents the initial results of a more encompassing research project, the intent of which is to determine the dynamic interaction of the transport sector with the overall economy. It's a start to a more comprehensive assessment of how transport and economic activity interrelate.

  18. High Energy Output Marx Generator Design

    SciTech Connect (OSTI)

    Monty Lehmann

    2011-07-01

    High Energy Output Marx Generator Design a design of a six stage Marx generator that has a unipolar pulse waveform of 200 kA in a 50500 microsecond waveform is presented. The difficulties encountered in designing the components to withstand the temperatures and pressures generated during the output pulse are discussed. The unique methods and materials used to successfully overcome these problems are given. The steps necessary to increase the current output of this Marx generator design to the meg-ampere region or higher are specified.

  19. Boosting America's Hydropower Output | Department of Energy

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

    Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of

  20. PV output smoothing with energy storage.

    SciTech Connect (OSTI)

    Ellis, Abraham; Schoenwald, David Alan

    2012-03-01

    This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

  1. Porous radiant burners having increased radiant output

    DOE Patents [OSTI]

    Tong, Timothy W. (Tempe, AZ); Sathe, Sanjeev B. (Tempe, AZ); Peck, Robert E. (Tempe, AZ)

    1990-01-01

    Means and methods for enhancing the output of radiant energy from a porous radiant burner by minimizing the scattering and increasing the adsorption, and thus emission of such energy by the use of randomly dispersed ceramic fibers of sub-micron diameter in the fabrication of ceramic fiber matrix burners and for use therein.

  2. Multiple output timing and trigger generator

    SciTech Connect (OSTI)

    Wheat, Robert M.; Dale, Gregory E

    2009-01-01

    In support of the development of a multiple stage pulse modulator at the Los Alamos National Laboratory, we have developed a first generation, multiple output timing and trigger generator. Exploiting Commercial Off The Shelf (COTS) Micro Controller Units (MCU's), the timing and trigger generator provides 32 independent outputs with a timing resolution of about 500 ns. The timing and trigger generator system is comprised of two MCU boards and a single PC. One of the MCU boards performs the functions of the timing and signal generation (the timing controller) while the second MCU board accepts commands from the PC and provides the timing instructions to the timing controller. The PC provides the user interface for adjusting the on and off timing for each of the output signals. This system provides 32 output or timing signals which can be pre-programmed to be in an on or off state for each of 64 time steps. The width or duration of each of the 64 time steps is programmable from 2 {micro}s to 2.5 ms with a minimum time resolution of 500 ns. The repetition rate of the programmed pulse train is only limited by the time duration of the programmed event. This paper describes the design and function of the timing and trigger generator system and software including test results and measurements.

  3. Neutron light output and detector efficiency (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency You are accessing a document from the...

  4. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  5. Low Capital Photovoltaic Panel Electrical Output-Booster System...

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

    Low Capital Photovoltaic Panel Electrical Output-Booster System Low Capital Photovoltaic Panel Electrical Output-Booster System This presentation summarizes the information given ...

  6. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  7. Off-set stabilizer for comparator output

    DOE Patents [OSTI]

    Lunsford, James S. (Los Alamos, NM)

    1991-01-01

    A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured.

  8. World crude output overcomes Persian Gulf disruption

    SciTech Connect (OSTI)

    Not Available

    1992-02-01

    Several OPEC producers made good on their promises to replace 2.7 MMbpd of oil exports that vanished from the world market after Iraq took over Kuwait. Even more incredibly, they accomplished this while a breathtaking 1.2- MMbopd reduction in Soviet output took place during the course of 1991. After Abu Dhabi, Indonesia, Iran, Libya, Nigeria, Saudi Arabia and Venezuela turned the taps wide open, their combined output rose 2.95 MMbopd. Put together with a 282,000-bopd increase by Norway and contributions from smaller producers, this enabled world oil production to remain within 400,000 bopd of its 1990 level. The 60.5-MMbopd average was off by just 0.7%. This paper reports that improvement took place in five of eight regions. Largest increases were in Western Europe and Africa. Greatest reductions occurred in Eastern Europe and the Middle East. Fifteen nations produced 1 MMbopd or more last year, compared with 17 during 1990.

  9. Room-return scattering in fission neutron outputs (Conference...

    Office of Scientific and Technical Information (OSTI)

    Room-return scattering in fission neutron outputs Citation Details In-Document Search Title: Room-return scattering in fission neutron outputs You are accessing a document from...

  10. Method and apparatus for varying accelerator beam output energy

    DOE Patents [OSTI]

    Young, Lloyd M.

    1998-01-01

    A coupled cavity accelerator (CCA) accelerates a charged particle beam with rf energy from a rf source. An input accelerating cavity receives the charged particle beam and an output accelerating cavity outputs the charged particle beam at an increased energy. Intermediate accelerating cavities connect the input and the output accelerating cavities to accelerate the charged particle beam. A plurality of tunable coupling cavities are arranged so that each one of the tunable coupling cavities respectively connect an adjacent pair of the input, output, and intermediate accelerating cavities to transfer the rf energy along the accelerating cavities. An output tunable coupling cavity can be detuned to variably change the phase of the rf energy reflected from the output coupling cavity so that regions of the accelerator can be selectively turned off when one of the intermediate tunable coupling cavities is also detuned.

  11. Halbach array generator/motor having mechanically regulated output voltage and mechanical power output

    DOE Patents [OSTI]

    Post, Richard F.

    2005-06-14

    A motor/generator has its stationary portion, i.e., the stator, positioned concentrically within its rotatable element, i.e., the rotor, along the axis of rotation of the rotor. The rotor includes a Halbach array of magnets. The voltage and power outputs are regulated by varying the radial gap in between the stator windings and the rotating Halbach array. The gap is varied by extensible and retractable supports attached to the stator windings that can move the windings in a radial direction.

  12. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  13. Compact waveguide power divider with multiple isolated outputs

    DOE Patents [OSTI]

    Moeller, Charles P. (Del Mar, CA)

    1987-01-01

    A waveguide power divider (10) for splitting electromagnetic microwave power and directionally coupling the divided power includes an input waveguide (21) and reduced height output waveguides (23) interconnected by axial slots (22) and matched loads (25) and (26) positioned at the unused ends of input and output guides (21) and (23) respectively. The axial slots are of a length such that the wave in the input waveguide (21) is directionally coupled to the output waveguides (23). The widths of input guide (21) and output guides (23) are equal and the width of axial slots (22) is one half of the width of the input guide (21).

  14. AEO2016 Preliminary Industrial Output Results

    Gasoline and Diesel Fuel Update (EIA)

    1: Preliminary macroeconomic results For Macro-Industrial Working Group December 3, 2015 | Washington, DC By Kay Smith, Macro Team Leader, Elizabeth Sendich, Russ Tarver, and Vipin Arora DO NOT CITE OR DISTRIBUTE Macro Team's AEO2016 Briefing Plans * Review incorporation of completed AEO macroeconomic initiatives - Revised commercial floorspace model using indices rather than levels so that EIA customers won't have to incur extra data costs to compensate Dodge - Enhancements of the industrial

  15. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  16. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, J.R.; Bemis, C.E. Jr.

    1984-07-17

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the tranducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  17. Device for frequency modulation of a laser output spectrum

    DOE Patents [OSTI]

    Beene, James R.; Bemis, Jr., Curtis E.

    1986-01-01

    A device is provided for fast frequency modulating the output spectrum of multimode lasers and single frequency lasers that are not actively stabilized. A piezoelectric transducer attached to a laser cavity mirror is driven in an unconventional manner to excite resonance vibration of the transducer to rapidly, cyclicly change the laser cavity length. The result is a cyclic sweeping of the output wavelength sufficient to fill the gaps in the laser output frequency spectrum. When such a laser is used to excite atoms or molecules, complete absorption line coverage is made possible.

  18. Dual output acoustic wave sensor for molecular identification

    DOE Patents [OSTI]

    Frye, Gregory C. (Cedar Crest, NM); Martin, Stephen J. (Albuquerque, NM)

    1991-01-01

    A method of identification and quantification of absorbed chemical species by measuring changes in both the velocity and the attenuation of an acoustic wave traveling through a thin film into which the chemical species is sorbed. The dual output response provides two independent sensor responses from a single sensing device thereby providing twice as much information as a single output sensor. This dual output technique and analysis allows a single sensor to provide both the concentration and the identity of a chemical species or permits the number of sensors required for mixtures to be reduced by a factor of two.

  19. Multiple scattering effects in fission neutron outputs (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Multiple scattering effects in fission neutron outputs Citation Details In-Document Search Title: Multiple scattering effects in fission neutron outputs Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-02-24 OSTI Identifier: 1053153 Report Number(s): LA-UR-11-01326; LA-UR-11-1326 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Fission fprogram Review, ;

  20. Predicted Radiation Output from Several Kilograms of Plutonium Oxide

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Predicted Radiation Output from Several Kilograms of Plutonium Oxide Citation Details In-Document Search Title: Predicted Radiation Output from Several Kilograms of Plutonium Oxide Authors: Shores, Erik Frederick [1] ; Solomon, Clell Jeffrey Jr. [1] ; Myers, Steven Charles [1] ; Temple, Brian Allen [1] ; Felsher, Paul D. [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2015-01-20 OSTI Identifier: 1168712 Report Number(s):

  1. PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output

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

    | Department of Energy Advanced Thermal Management for Higher Module Power Output PROJECT PROFILE: Advanced Thermal Management for Higher Module Power Output Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National Laboratories, Albuquerque, NM Amount Awarded: $2,816,911 Higher temperatures of photovoltaic (PV) modules are causing lower than projected module performance. For example, a free-standing Si PV module has 0.4% decrease in efficiency per degree

  2. Low Capital Photovoltaic Panel Electrical Output-Booster System |

    Office of Environmental Management (EM)

    Department of Energy Low Capital Photovoltaic Panel Electrical Output-Booster System Low Capital Photovoltaic Panel Electrical Output-Booster System This presentation summarizes the information given during the DOE SunShot Grand Challenge: Summit and Technology Forum, June 13-14, 2012. PDF icon ssgrandchallenge_finance_schrag.pdf More Documents & Publications The SunShot Vision Study SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE) 2014

  3. Constraining UV continuum slopes of active galactic nuclei with cloudy models of broad-line region extreme-ultraviolet emission lines

    SciTech Connect (OSTI)

    Moloney, Joshua [CASA, Department of Astrophysical and Planetary Sciences, University of Colorado, Boulder, CO 80309 (United States); Michael Shull, J., E-mail: joshua.moloney@colorado.edu, E-mail: michael.shull@colorado.edu [Also at Institute of Astronomy, University of Cambridge, Cambridge CB3 0HA, UK. (United Kingdom)

    2014-10-01

    Understanding the composition and structure of the broad-line region (BLR) of active galactic nuclei (AGNs) is important for answering many outstanding questions in supermassive black hole evolution, galaxy evolution, and ionization of the intergalactic medium. We used single-epoch UV spectra from the Cosmic Origins Spectrograph (COS) on the Hubble Space Telescope to measure EUV emission-line fluxes from four individual AGNs with 0.49 ? z ? 0.64, two AGNs with 0.32 ? z ? 0.40, and a composite of 159 AGNs. With the CLOUDY photoionization code, we calculated emission-line fluxes from BLR clouds with a range of density, hydrogen ionizing flux, and incident continuum spectral indices. The photoionization grids were fit to the observations using single-component and locally optimally emitting cloud (LOC) models. The LOC models provide good fits to the measured fluxes, while the single-component models do not. The UV spectral indices preferred by our LOC models are consistent with those measured from COS spectra. EUV emission lines such as N IV ?765, O II ?833, and O III ?834 originate primarily from gas with electron temperatures between 37,000 K and 55,000 K. This gas is found in BLR clouds with high hydrogen densities (n {sub H} ? 10{sup 12} cm{sup 3}) and hydrogen ionizing photon fluxes (?{sub H} ? 10{sup 22} cm{sup 2} s{sup 1}).

  4. Development of a 402.5 MHz 140 kW Inductive Output Tube

    SciTech Connect (OSTI)

    R. Lawrence Ives; Michael Read, Robert Jackson

    2012-05-09

    This report contains the results of Phase I of an SBIR to develop a Pulsed Inductive Output Tube (IOT) with 140 kW at 400 MHz for powering H-proton beams. A number of sources, including single beam and multiple beam klystrons, can provide this power, but the IOT provides higher efficiency. Efficiencies exceeding 70% are routinely achieved. The gain is typically limited to approximately 24 dB; however, the availability of highly efficient, solid state drivers reduces the significance of this limitation, particularly at lower frequencies. This program initially focused on developing a 402 MHz IOT; however, the DOE requirement for this device was terminated during the program. The SBIR effort was refocused on improving the IOT design codes to more accurately simulate the time dependent behavior of the input cavity, electron gun, output cavity, and collector. Significant improvement was achieved in modeling capability and simulation accuracy.

  5. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, M.L.; McNeilly, D.R.

    1984-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phtotransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  6. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, Marc L. (Harriman, TN); McNeilly, David R. (Maryville, TN)

    1985-01-01

    A light-operated proximity detector is described in which reflected light intensity from a surface whose proximity to the detector is to be gauged is translated directly into a signal proportional to the distance of the detector from the surface. A phototransistor is used to sense the reflected light and is connected in a detector circuit which maintains the phototransistor in a saturated state. A negative feedback arrangement using an operational amplifier connected between the collector and emitter of the transistor provides an output at the output of the amplifier which is linearly proportional to the proximity of the surface to the detector containing the transistor. This direct proportional conversion is true even though the light intensity is varying with the proximity in proportion to the square of the inverse of the distance. The detector may be used for measuring the distance remotely from any target surface.

  7. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  8. Quantum Dot Materials Can Reduce Heat, Boost Electrical Output - News

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

    Releases | NREL Quantum Dot Materials Can Reduce Heat, Boost Electrical Output May 23, 2005 Golden, Colo. - Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have shown that nanotechnology may greatly increase the amount of electricity produced by solar cells. In a paper published in a May issue of the American Chemical Society's Nano Letters journal, an NREL team found that tiny "nanocrystals," also known as "quantum dots,"

  9. High natural gas output and inventories contribute to lower prices

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

    High natural gas output and inventories contribute to lower prices High natural gas production and ample gas inventories are expected to keep natural gas prices relatively low for the rest of 2015. In its new monthly forecast, the U.S. Energy Information Administration says that while expected production growth is slowing from last year's torrid pace, domestic natural gas production in 2015 is still expected to be almost 6 percent above the 2014 level. Higher production has pushed U.S. natural

  10. Development of a high-output dual-fuel engine

    SciTech Connect (OSTI)

    Danyluk, P.R. . Fairbanks Morse Engineering Division)

    1993-10-01

    This paper presents the results of a new dual-fuel engine development program. The engine is the largest commercially available in terms of power output (650 hp/cyl) and features very low emissions (1 g/hp-hr NO[sub x]) and excellent fuel consumption (43 percent thermal efficiency). A two-cylinder turbocharged prototype was designed and built for the initial development. Results from testing on 18-cylinder production versions are also reported.

  11. Development of output user interface software to support analysis

    SciTech Connect (OSTI)

    Wahanani, Nursinta Adi Natsir, Khairina Hartini, Entin

    2014-09-30

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  12. Ring laser having an output at a single frequency

    DOE Patents [OSTI]

    Hackell, Lloyd A.

    1991-01-01

    A ring laser is disclosed that produces a single frequency of laser radiation in either the pulsed mode of operation or the continuous waveform (cw) mode of operation. The laser comprises a ring laser in a bowtie configuration, a birefringent gain material such as Nd:YLF, an improved optical diode that supports laser oscillation having a desired direction of travel and linear polarization, and a Q-switch. An output coupler (mirror) having a high reflectivity, such as 94%, is disclosed. Also disclosed is a self-seeded method of operation in which the laser can provide a pulse or a series of pulses of high power laser radiation at a consistent single frequency with a high degree of amplitude stability and temporal stability. In operation, the laser is operated in continuous waveform (cw) at a low power output with the Q-switch introducing a loss into the resonating cavity. Pumping is continued at a high level, causing the gain material to store energy. When a pulse is desired, the Q-switch is actuated to substantially reduce the losses so that a pulse can build up based on the low level cw oscillation. The pulse quickly builds, using the stored energy in the gain medium to provide a high power output pulse. The process may be repeated to provide a series of high power pulses of a consistent single frequency.

  13. Simulation of one-minute power output from utility-scale photovoltaic generation systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

    2011-08-01

    We present an approach to simulate time-synchronized, one-minute power output from large photovoltaic (PV) generation plants in locations where only hourly irradiance estimates are available from satellite sources. The approach uses one-minute irradiance measurements from ground sensors in a climatically and geographically similar area. Irradiance is translated to power using the Sandia Array Performance Model. Power output is generated for 2007 in southern Nevada are being used for a Solar PV Grid Integration Study to estimate the integration costs associated with various utility-scale PV generation levels. Plant designs considered include both fixed-tilt thin-film, and single-axis-tracked polycrystalline Si systems ranging in size from 5 to 300 MW{sub AC}. Simulated power output profiles at one-minute intervals were generated for five scenarios defined by total PV capacity (149.5 MW, 222 WM, 292 MW, 492 MW, and 892 MW) each comprising as many as 10 geographically separated PV plants.

  14. Calculation of output characteristics of semiconductor quantum-well lasers with account for both electrons and holes

    SciTech Connect (OSTI)

    Sokolova, Z N; Tarasov, I S; Asryan, L V

    2014-09-30

    Using an extended theoretical model, which includes the rate equations for both electrons and holes, we have studied the output characteristics of semiconductor quantum-well lasers. We have found non-trivial dependences of electron and hole concentrations in the waveguide region of the laser on the capture velocities of both types of carriers from the waveguide region into the quantum well. We have obtained the dependences of the internal differential quantum efficiency and optical output power of the laser on the capture velocities of electrons and holes. An increase in the capture velocities has been shown to result in suppression of parasitic recombination in the waveguide region and therefore in a substantial increase in the quantum efficiency and output power. (lasers)

  15. Factors Affecting Power Output by Photovoltaic Cells Lesson

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

    Suzanne McClung Unit Title: Option C: Energy Subject: Chemistry Lesson Title: Factors Affecting Power Output by Photovoltaic Cells Grade Level(s): IB 2 (Senior - 3 rd year of chemistry) Lesson Length: 2-90 minute blocks with 30 minutes for wrap up in a 3 rd class period Date(s): * Learning Goals o Students will make observations of voltage and current in a solar panel system o Students will calculate power of a solar panel system o Students will determine the effect of a factor on the power

  16. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2010-08-24

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  17. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2009-06-02

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  18. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

  19. High lumen compact fluorescents boost light output in new fixtures

    SciTech Connect (OSTI)

    1992-12-31

    Some compact fluorescent lamps aren`t so compact. General Electric (GE), OSRAM, and Philips have been expanding offerings in longer, more powerful, hard wired CFLs that generate enough light to serve applications once limited to conventional fluorescents and metal halide systems. All three of these manufacturers have for some time offered 18- to 40-watt high-output CFLs, which use a fluorescent tube doubled back on itself to produce a lot of light in a compact source. Now GE has introduced an even larger, more powerful 50-watt unit, and OSRAM is soon to follow suit with a 55-watt lamp. These new entries to the field of turbocharged CFLs can provide general lighting at ceiling heights of 12 feet or more as well as indirect lighting, floodlighting, and wall washing. They are such a concentrated source of light that they can provide the desired illumination using fewer lamps and fixtures than would be needed with competing sources.

  20. ARM - Datastreams - moltsedassfcclass0

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

    Datastreamsmoltsedassfcclass0 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSFCCLASS0 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., basic surface, params, stations Active Dates 1997.06.01 - 1999.09.27 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output

  1. ARM - Datastreams - moltsedassfcclass1

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

    Datastreamsmoltsedassfcclass1 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSFCCLASS1 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., enhanced surface, params, stations Active Dates 1997.06.01 - 2013.07.31 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model Output

  2. ARM - Datastreams - moltsedassndclass0

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

    Datastreamsmoltsedassndclass0 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSNDCLASS0 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., basic soundings, params, stations Active Dates 1997.05.31 - 1999.09.27 Measurement Categories Atmospheric State Originating Instrument Model Output Location Time Series (MOLTS) Measurements The

  3. Output-Based Regulations: A Handbook for Air Regulators (U.S...

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

    Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 The U.S....

  4. PV Reliability & Performance Model

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

    ... PV Reliability & Performance Model HomeStationary PowerEnergy Conversion ... such as module output degradation over time or disruptions such as electrical grid outages. ...

  5. Dosimetric characterization and output verification for conical brachytherapy surface applicators. Part I. Electronic brachytherapy source

    SciTech Connect (OSTI)

    Fulkerson, Regina K. Micka, John A.; DeWerd, Larry A.

    2014-02-15

    Purpose: Historically, treatment of malignant surface lesions has been achieved with linear accelerator based electron beams or superficial x-ray beams. Recent developments in the field of brachytherapy now allow for the treatment of surface lesions with specialized conical applicators placed directly on the lesion. Applicators are available for use with high dose rate (HDR){sup 192}Ir sources, as well as electronic brachytherapy sources. Part I of this paper will discuss the applicators used with electronic brachytherapy sources; Part II will discuss those used with HDR {sup 192}Ir sources. Although the use of these applicators has gained in popularity, the dosimetric characteristics including depth dose and surface dose distributions have not been independently verified. Additionally, there is no recognized method of output verification for quality assurance procedures with applicators like these. Existing dosimetry protocols available from the AAPM bookend the cross-over characteristics of a traditional brachytherapy source (as described by Task Group 43) being implemented as a low-energy superficial x-ray beam (as described by Task Group 61) as observed with the surface applicators of interest. Methods: This work aims to create a cohesive method of output verification that can be used to determine the dose at the treatment surface as part of a quality assurance/commissioning process for surface applicators used with HDR electronic brachytherapy sources (Part I) and{sup 192}Ir sources (Part II). Air-kerma rate measurements for the electronic brachytherapy sources were completed with an Attix Free-Air Chamber, as well as several models of small-volume ionization chambers to obtain an air-kerma rate at the treatment surface for each applicator. Correction factors were calculated using MCNP5 and EGSnrc Monte Carlo codes in order to determine an applicator-specific absorbed dose to water at the treatment surface from the measured air-kerma rate. Additionally, relative dose measurements of the surface dose distributions and characteristic depth dose curves were completed in-phantom. Results: Theoretical dose distributions and depth dose curves were generated for each applicator and agreed well with the measured values. A method of output verification was created that allows users to determine the applicator-specific dose to water at the treatment surface based on a measured air-kerma rate. Conclusions: The novel output verification methods described in this work will reduce uncertainties in dose delivery for treatments with these kinds of surface applicators, ultimately improving patient care.

  6. Fail safe controllable output improved version of the Electromechanical battery

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition.

  7. Fail safe controllable output improved version of the electromechanical battery

    DOE Patents [OSTI]

    Post, R.F.

    1999-01-19

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition. 4 figs.

  8. Method for optimizing the mechanical output of a fluid pressure free piston engine

    SciTech Connect (OSTI)

    Dibrell, E.W.; Schaich, W.A.

    1988-07-05

    The method is described for minimizing rotational speed variations of a centrifugal piston expander engine comprising the steps of: (1) supplying a pressured gas to a centrifugal piston expander engine having a rotatable output element and a discharge conduit for cooled exhaust gas; (2) expanding and cooling the pressured gas in the centrifugal piston expander engine to produce cyclically varying oppositely directed, positive and negative torques on the rotatable output shaft; (3) driving a rotary load in the positive torque direction by the rotatable output element through one rotatable element of a unidirectional clutch having two rotating elements relatively movable in only the negative torque direction; and (4) connecting a battery operated motor-generator unit to the rotatable output shaft to supplement the rotary speed of the output shaft during periods of negative torque output by the centrifugal piston expander engine and to recharge the battery during periods of maximum positive torque output of the centrifugal expander engine.

  9. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012

    SciTech Connect (OSTI)

    Pennock, K.

    2012-10-01

    AWS Truepower, LLC (AWST) was retained by the National Renewable Energy Laboratory (NREL) to update wind resource, plant output, and wind power forecasts originally produced by the Eastern Wind Integration and Transmission Study (EWITS). The new data set was to incorporate AWST's updated 200-m wind speed map, additional tall towers that were not included in the original study, and new turbine power curves. Additionally, a primary objective of this new study was to employ new data synthesis techniques developed for the PJM Renewable Integration Study (PRIS) to eliminate diurnal discontinuities resulting from the assimilation of observations into mesoscale model runs. The updated data set covers the same geographic area, 10-minute time resolution, and 2004?2006 study period for the same onshore and offshore (Great Lakes and Atlantic coast) sites as the original EWITS data set.

  10. New runners to boost peak output at Niagara Falls

    SciTech Connect (OSTI)

    Reason, J.

    1990-01-01

    Retrofitted Francis turbines will improve the value of power generated from Niagara Falls by increasing the peak output of the hydroturbine units at the Robert Moses hydroelectric plant. The computer-designed runners are expected to add 330 MW to the peak capacity of the 28-yr-old plant and significantly increase the efficiency at high flow rates. Next year, the first new runner will be retrofit to the highly instrumented Unit 4. If the retrofit unit meets it increased-performance expectations, the other 12 units will be upgraded between 1993 and 1998. The work is part of an overall expansion of the Niagara Power Project designed to made better use of the power value of Niagara river water, within the constraints of a treaty with Canada and the scenic value of the falls. These constraints, together with varying flows and heads, introduced enormous complexities into the selection and design of the new runners. The alterations being made to Unit 4, in addition to replacing the turbine runner, include modifying the draft tube-liners, increasing the wicket-gate stroke, replacing the turbine discharge ring (to accommodate longer blades), making various electrical modifications to the generator, and replacing the transformer. But the key to the retrofit is the computer-designed runner. Charles Grose, senior project manager, New York Power Authority, White Plains, NY, emphasizes that such computer design techniques were not available a few years ago; neither were the computer-controlled machining techniques necessary to manufacture the new runners. Other aspects of the upgrading that were analyzed include runner stability, resonance, shaft torsional stress, and runaway speed.

  11. Gamma-ray Output Spectra from 239 Pu Fission

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ullmann, John

    2015-05-25

    Gamma-ray multiplicities, individual gamma-ray energy spectra, and total gamma energy spectra following neutron-induced fission of 239Pu were measured using the DANCE detector at Los Alamos. Corrections for detector response were made using a forward-modeling technique based on propagating sets of gamma rays generated from a paramaterized model through a GEANT model of the DANCE array and adjusting the parameters for best fit to the measured spectra. The results for the gamma-ray spectrum and multiplicity are in general agreement with previous results, but the measured total gamma-ray energy is about 10% higher. A dependence of the gamma-ray spectrum on the gamma-raymore » multplicity was also observed. Global model calculations of the multiplicity and gamma energy distributions are in good agreement with the data, but predict a slightly softer total-energy distribution.« less

  12. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An...

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

    Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE ...

  13. Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August

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

    2004 | Department of Energy Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 Output-Based Regulations: A Handbook for Air Regulators (U.S. EPA), August 2004 The U.S. Environmental Protection Agency (EPA) developed this handbook to assist state, local, and tribal regulators in developing output-based regulations. The handbook provides practical information to help regulators decide if they want to use output-based regulations and explains how to develop an

  14. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  15. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Karen Johnson; Michael Jensen

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  16. Neutron light output and detector efficiency (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Neutron light output and detector efficiency Citation Details In-Document Search Title: Neutron light output and detector efficiency Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2012-03-07 OSTI Identifier: 1170660 Report Number(s): LA-UR-12-01236; LA-UR-12-1236

  17. System for adjusting frequency of electrical output pulses derived from an oscillator

    DOE Patents [OSTI]

    Bartholomew, David B.

    2006-11-14

    A system for setting and adjusting a frequency of electrical output pulses derived from an oscillator in a network is disclosed. The system comprises an accumulator module configured to receive pulses from an oscillator and to output an accumulated value. An adjustor module is configured to store an adjustor value used to correct local oscillator drift. A digital adder adds values from the accumulator module to values stored in the adjustor module and outputs their sums to the accumulator module, where they are stored. The digital adder also outputs an electrical pulse to a logic module. The logic module is in electrical communication with the adjustor module and the network. The logic module may change the value stored in the adjustor module to compensate for local oscillator drift or change the frequency of output pulses. The logic module may also keep time and calculate drift.

  18. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, R.F.

    1999-03-16

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

  19. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range.

  20. Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE

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

    Job and Output Benefits of Stationary Fuel Cells (JOBS FC): An Economic Impact Tool Developed for USDOE Marianne Mintz Argonne National Lab 2 2 What is JOBS FC? � JOBS FC is a user friendly model that can be used to show the economic benefits of near- to mid-term fuel cell deployment for a variety of fuel cell applications and markets � These estimates will enable your organization to quantify the economic advantages of fuel cells and communicate those benefits to community leaders, local

  1. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian (Glenmont, NY); Bievenue, Thomas J. (Delmar, NY); Burdett, John H. (Charlton, NY); Gallagher, Brian W. (Guilderland, NY); Shakshober, Stuart M. (Hudson, NY); Chen, Zewu (Schenectady, NY); Moore, Michael D. (Alplaus, NY)

    2008-06-08

    An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  2. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian; Bievenue, Thomas J.; Burdett Jr., John H.; Gallagher, Brian W.; Shakshober, Stuart M.; Chen, Zewu; Moore, Michael D.

    2007-04-24

    An x-ray source assembly (2700) and method of operation are provided having enhanced output stability. The assembly includes an anode (2125) having a source spot upon which electrons (2120) impinge and a control system (2715/2720) for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure (2710) notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  3. Optimization of the output and efficiency of a high power cascaded arc hydrogen plasma source

    SciTech Connect (OSTI)

    Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van; Schram, D. C.

    2008-09-15

    The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured I-V data in terms of a one-parameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.

  4. Sanov and central limit theorems for output statistics of quantum Markov chains

    SciTech Connect (OSTI)

    Horssen, Merlijn van; Gu??, M?d?lin

    2015-02-15

    In this paper, we consider the statistics of repeated measurements on the output of a quantum Markov chain. We establish a large deviations result analogous to Sanovs theorem for the multi-site empirical measure associated to finite sequences of consecutive outcomes of a classical stochastic process. Our result relies on the construction of an extended quantum transition operator (which keeps track of previous outcomes) in terms of which we compute moment generating functions, and whose spectral radius is related to the large deviations rate function. As a corollary to this, we obtain a central limit theorem for the empirical measure. Such higher level statistics may be used to uncover critical behaviour such as dynamical phase transitions, which are not captured by lower level statistics such as the sample mean. As a step in this direction, we give an example of a finite system whose level-1 (empirical mean) rate function is independent of a model parameter while the level-2 (empirical measure) rate is not.

  5. Dissemination of Climate Model Output to the Public and Commercial Sector

    SciTech Connect (OSTI)

    Robert Stockwell, PhD

    2010-09-23

    Climate is defined by the Glossary of Meteorology as the mean of atmospheric variables over a period of time ranging from as short as a few months to multiple years and longer. Although the term climate is often used to refer to long-term weather statistics, the broader definition of climate is the time evolution of a system consisting of the atmosphere, hydrosphere, lithosphere, and biosphere. Physical, chemical, and biological processes are involved in interactions among the components of the climate system. Vegetation, soil moisture, and glaciers are part of the climate system in addition to the usually considered temperature and precipitation (Pielke, 2008). Climate change refers to any systematic change in the long-term statistics of climate elements (such as temperature, pressure, or winds) sustained over several decades or longer. Climate change can be initiated by external forces, such as cyclical variations in the Earth's solar orbit that are thought to have caused glacial and interglacial periods within the last 2 million years (Milankovitch, 1941). However, a linear response to astronomical forcing does not explain many other observed glacial and interglacial cycles (Petit et al., 1999). It is now understood that climate is influenced by the interaction of solar radiation with atmospheric greenhouse gasses (e.g., carbon dioxide, chlorofluorocarbons, methane, nitrous oxide, etc.), aerosols (airborne particles), and Earth's surface. A significant aspect of climate are the interannual cycles, such as the El Nino La Nina cycle which profoundly affects the weather in North America but is outside the scope of weather forecasts. Some of the most significant advances in understanding climate change have evolved from the recognition of the influence of ocean circulations upon the atmosphere (IPCC, 2007). Human activity can affect the climate system through increasing concentrations of atmospheric greenhouse gases, air pollution, increasing concentrations of aerosol, and land alteration. A particular concern is that atmospheric levels of CO{sub 2} may be rising faster than at any time in Earth's history, except possibly following rare events like impacts from large extraterrestrial objects (AMS, 2007). Atmospheric CO{sub 2} concentrations have increased since the mid-1700s through fossil fuel burning and changes in land use, with more than 80% of this increase occurring since 1900. The increased levels of CO{sub 2} will remain in the atmosphere for hundreds to thousands of years. The complexity of the climate system makes it difficult to predict specific aspects of human-induced climate change, such as exactly how and where changes will occur, and their magnitude. The Intergovernmental Panel for Climate Change (IPCC) was established by World Meteorological Organization (WMO) and the United Nations in 1988. The IPCC was tasked with assessing the scientific, technical and socioeconomic information needed to understand the risk of human-induced climate change, its observed and projected impacts, and options for adaptation and mitigation. The IPCC concluded in its Fourth Assessment Report (AR4) that warming of the climate system is unequivocal, and that most of the observed increase in globally averaged temperatures since the mid-20th century is very likely due to the observed increased in anthropogenic greenhouse gas concentrations (IPCC, 2007).

  6. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  7. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  8. Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Shedd, S.; Florita, A.

    2012-08-01

    This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

  9. Rising U.S. oil output leads world oil supply growth

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

    Rising U.S. oil output leads world oil supply growth U.S. crude oil production reached 7 million barrels per day at the end of 2012 for the first time in two decades and is well on ...

  10. ARM - Datastreams - moltsedassndclass1

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

    Datastreamsmoltsedassndclass1 Documentation XDC documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : MOLTSEDASSNDCLASS1 Model Output Loc. Time Ser. (MOLTS): EDAS meteor. analy., enhances soundings, params, stations Active Dates 1997.06.01 - 2013.07.31 Measurement Categories Atmospheric State, Cloud Properties, Radiometric, Surface Properties Originating Instrument Model

  11. New Research Center to Increase Safety and Power Output of U.S. Nuclear

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

    Reactors | Department of Energy Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 3:41pm Addthis Oak Ridge, Tenn. - Today the Department of Energy dedicated the Consortium for Advanced Simulation of Light Water Reactors (CASL), an advanced research facility that will accelerate the advancement of nuclear reactor technology. CASL researchers are using supercomputers to

  12. Summary of the Output from the VTP Advanced Materials Workshop | Department

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

    of Energy Summary of the Output from the VTP Advanced Materials Workshop Summary of the Output from the VTP Advanced Materials Workshop 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon vtpn04_lm_schutte_2012_o.pdf More Documents & Publications Materials Lightweight Materials Overview Overview of Lightweight Materials

  13. Enhancing the Output of LED Lighting | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Enhancing the Output of LED Lighting Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information » 04.01.12 Enhancing the Output of LED Lighting Adding

  14. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  15. Room-return scattering in fission neutron outputs (Conference) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Room-return scattering in fission neutron outputs Citation Details In-Document Search Title: Room-return scattering in fission neutron outputs Authors: Taddeucci, Terry N [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-07-27 OSTI Identifier: 1084596 Report Number(s): LA-UR-11-04357; LA-UR-11-4357 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Chi-Nu project level

  16. SAS Output

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

    -- -- -- -- -- -- -- 1.00 1.00 Fire -- -- -- -- -- -- -- -- -- Vandalism, Terrorism, or Malicious Acts -- -- -- -- 2.00 -- -- -- 2.00 Failed AC Substation Equipment --...

  17. SAS Output

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

    28.00 2.00 2.00 23.00 89.00 Fire 1.00 -- 1.00 1.00 3.00 -- -- 50.00 56.00 Vandalism, Terrorism, or Malicious Acts -- -- -- -- 7.00 -- -- -- 7.00 Failed AC Substation Equipment...

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. U.S. Transmission Circuit Outages by Type and NERC region, 2013 Outage Type FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages...

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Thousand Megawatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,380,662 1,336,133 1,009,516 7,653 3,733,965 2009 1,364,758 1,306,853 917,416 7,768

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Thousand Megawatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 47,212 48,369 53,107 44,938 19,107 27,472 557 577 119,983 121,357 Connecticut 12,778 13,135 12,894 13,009 3,515 3,490 169 190 29,354 29,825 Maine 4,661 4,662 3,985 4,016 3,357 3,177 0 0

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Average Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 17.82 16.22 14.70 13.97 11.84 12.25 10.38 12.15 15.45 14.47 Connecticut 19.75 17.55 15.55 14.63 12.92 12.61 13.08 10.31 17.05 15.66 Maine 15.27 14.35 12.70 11.74 8.95 8.34 -- --

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Electric Power Industry - U.S. Electricity Imports from and Electricity Exports to Canada and Mexico, 2004-2014 (Megawatthours) Canada Mexico U.S. Total Year Imports from Exports to Imports from Exports to Imports Exports 2004 33,007,487 22,482,109 1,202,576 415,754 34,210,063 22,897,863 2005 42,332,039 18,680,237 1,597,275 470,731 43,929,314 19,150,968 2006 41,544,052 23,405,387 1,147,258 865,948 42,691,310 24,271,335 2007 50,118,056 19,559,417 1,277,646 584,175 51,395,702 20,143,592 2008

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Green Pricing Customers by End Use Sector, 2005 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total 2005 871,774 70,303 695 -- 942,772 2006 606,919 35,414 522 1 642,856 2007 773,391 61,608 553 99 835,651 2008 918,284 63,521 987 203 982,995 2009 1,058,185 64,139 1,454 -- 1,123,778 2010 1,137,047 78,128 1,407 -- 1,216,582 2011 1,187,867 89,677 1,440 -- 1,278,984 2012 2,162,230 102,223 1,509 -- 2,265,963 2012 was the last year this data was collected. In

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3.B. Net Generation from Renewable Sources: Independent Power Producers, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Commercial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Generation from Renewable Sources: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Net Generation by Energy Source: Residential Sector, 2014 (Thousand Megawatthours) Distributed Generation Period Estimated Distributed Solar Photovoltaic Generation Annual Totals 2014 4,243 Year 2014 January 226 February 238 March 328 April 361 May 402 June 410 July 431 August 431 September 404 October 382 November 319 December 311 See Glossary for definitions. Values are final. See Technical Notes for a discussion of the sample design for the Form EIA-923 and predecessor forms. Totals may

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Utility Scale Facility Net Generation from Other Gases by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Utility Scale Facility Net Generation from Nuclear Energy by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Utility Scale Facility Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Utility Scale Facility Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Utility Scale Facility Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7. Utility Scale Facility Net Generation from Other Energy Sources by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Utility Scale Facility Net Generation from Wind by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Utility Scale Facility Net Generation from Biomass by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Utility Scale Facility Net Generation from Geothermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Utility Scale Facility Net Generation from Solar Photovoltaic by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Utility Scale Facility Net Generation from Solar Thermal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2004 through 2014 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Existing Net Summer Capacity by Energy Source and Producer Type, 2004 through 2014 (Megawatts) Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewable Sources Hydroelectric Pumped Storage Other Energy Sources Total Total (All Sectors) 2004 313,020.0 59,119.0 371,011.0 2,296.0 99,628.0 77,641.0 18,717.0 20,764.0 746.0 962,942.0 2005 313,380.0 58,548.0 383,061.0 2,063.0 99,988.0 77,541.0 21,205.0 21,347.0 887.0 978,020.0 2006 312,956.0 58,097.0 388,294.0

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2004 through 2014 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2004 6,456.0 398.0 6,182.0 2,152.0 3,529.0 18,717.0 2005 8,706.0 411.0 6,193.0 2,285.0 3,609.0 21,205.0 2006 11,329.0 411.0 6,372.0 2,274.0 3,727.0 24,113.0 2007 16,515.0 502.0 6,704.0 2,214.0 4,134.0 30,069.0 2008 24,651.0 536.0 6,864.0 2,229.0

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Existing Capacity by Producer Type, 2014 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,510 675,675.4 616,631.5 637,857.0 Independent Power Producers, Non-Combined Heat and Power Plants 6,975 423,782.6 387,561.6 401,581.5 Independent Power Producers, Combined Heat and Power Plants 559 37,890.2 33,362.6 35,972.8 Total 17,044 1,137,348.2 1,037,555.7 1,075,411.3 Commercial and

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Planned Generating Capacity Changes, by Energy Source, 2015-2019 Generator Additions Generator Retirements Net Capacity Additions Energy Source Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Year 2015 U.S. Total 704 21,965.9 234 18,351.4 470 3,614.5 Coal 2 52.2 95 13,325.5 -93 -13,273.3 Petroleum 24 24.2 44 902.8 -20 -878.6 Natural Gas 76 6,192.8 61 3,964.2 15 2,228.6 Other Gases -- -- -- -- -- -- Nuclear 1 1,122.0 --

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Capacity Additions, Retirements and Changes by Energy Source, 2014 (Count, Megawatts) Generator Additions Generator Retirements Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1 106.2 52.0 52.0 53 5,083.4 4,489.7 4,552.3 Petroleum 28 62.2 62.0 62.0 55 1,261.0 1,018.6 1,120.0 Natural Gas 92 9,275.2 8,300.8 8,849.5 87 4,184.5 3,834.4 3,918.8

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7.A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2014 and 2013 (Megawatts) Census Division and State Renewable Sources Fossil Fuels Hydroelectric Pumped Storage Other Energy Storage Nuclear All Other Sources All Sources Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,577.6 4,403.4 22,853.0 23,564.2 1,775.4 1,753.4 3.0 3.0 4,046.3 4,645.4 52.9 52.9 33,308.2 34,422.3

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Net Summer Capacity Using Primarily Renewable Energy Sources and by State, 2014 and 2013 (Megawatts) Summer Capacity at Utility Scale Facilities Distributed Capacity Summer Capacity From Utility Scale Facilities and Distributed Capacity Census Division and State Wind Solar Photovoltaic Solar Thermal Conventional Hydroelectric Biomass Sources Geothermal Total Renewable Sources Estimated Distributed Solar Photovoltaic Capacity Estimated Total Solar Photovoltaic Capacity Estimated Total Solar

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7.C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2014 and 2013 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 11,742.0 11,720.9 1,110.1

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Capacity Factors for Utility Scale Generators Primarily Using Fossil Fuels, January 2013-December 2014 Coal Natural Gas Petroleum Period Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Steam Turbine Internal Combustion Engine Steam Turbine Petroleum Liquids Fired Combustion Turbine Internal Combustion Engine Annual Factors 2013 59.7% 48.2% 4.9% 10.6% 6.1% 12.1% 0.8% 2.2% 2014 61.0% 48.3% 5.2% 10.4% 8.5% 12.5% 1.1% 1.4% Year 2013 January 61.2% 46.3% 3.6% 7.3% 4.6% 10.0%

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    B. Capacity Factors for Utility Scale Generators Not Primarily Using Fossil Fuels, January 2013-December 2014 Period Nuclear Conventional Hydropower Wind Solar Photovoltaic Solar Thermal Landfill Gas and Muncipal Solid Waste Other Biomass Including Wood Geothermal Annual Factors 2013 89.9% 38.9% 32.4% NA NA 68.9% 56.7% 73.6% 2014 91.7% 37.3% 34.0% 25.9% 19.8% 68.9% 58.9% 74.0% Year 2013 January 93.9% 42.3% 33.5% NA NA 66.0% 56.5% 76.9% February 90.3% 38.3% 35.4% NA NA 65.2% 56.0% 76.1% March

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum Liquids as the Primary Fuel Net Summer Capacity of Petroleum Liquids-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Type of Prime Mover, 2014 (Megawatts, Percent) Prime Mover Type Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Steam Generator 178

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Year of Initial Commercial Operation, 2014 (Megawatts, Percent) Year of Initial Commercial Operation Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Consumption of Coal for Electricity Generation by State by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 2,310 2,773 -17% 544 616 1,753 2,144 0 0 13 13 Connecticut 499 419 19% 0 0 499 419 0 0 0 0 Maine 19 15 27% 0 0 10 7 0 0 9 8

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 3,947 3,913 0.9% 0 0 3,670 3,630 277 283 0 0 Connecticut 1,439 1,416 1.6% 0 0 1,362 1,330 77 86 0 0

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2004 - 2014 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2004 106,669 46,750 937 84,917 29,144 627

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2014 and 2013 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change New England 1,611 1,129 42.7% 4,989 3,613 38.1% 0 0 -- Connecticut W W W 1,498 1,141 31.3% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2014 and 2013 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2014 December 2013 Percentage Change December 2014 December 2013 December 2014 December 2013 Coal (Thousand Tons) New England 1,611 1,129 42.7% W W W W Middle Atlantic 8,079 5,973 35.3% W 0 W 5,973 East North Central 33,839 28,279 19.7% 23,394 22,076 10,446 6,203 West North Central 20,648

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Stocks of Coal by Coal Rank: Electric Power Sector, 2004 - 2014 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2013 73,113 69,720 5,051 147,884

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2004 1,002,032 0.97 1.36 27.42

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks Period Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu)

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 15,440,681 758,557 1.34 27.30 0.91 98.2 592,478 93,034 4.80

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 107,985 3,817 0.89 25.15 5.10

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 73,745 2,609 0.72 20.30

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 0 0 -- -- -- 0.0 16,176 15,804

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 14,876 540 0.98 27.01 5.59 40.4

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Receipts of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,554 3,177 43% 755 421 3,748 2,730 0 0 50 25 Connecticut 1,092 594 84% 0 0 1,092 594 0 0 0 0 Maine 637 898 -29% 0

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 329,008 364,201 -9.7% 1,968 1,600 321,630 348,352 0 0 5,409 14,249 Connecticut 96,817 104,666 -7.5% 0 0 96,817 104,666

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 17.53 W W 16.96 18.60 17.64 W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts 18.09 18.16 -0.4% 19.94 21.91 17.75 17.68 New Hampshire W W W 15.16 16.84 W W Rhode Island W W W -- --

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- --

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 6.49 5.89 10% 5.65 7.29 6.50 5.88 Connecticut 6.65 6.06 9.7% -- -- 6.65 6.06 Maine W W W -- -- W W Massachusetts 6.46 5.75 12% 5.54 6.84 6.47 5.74 New Hampshire W W W 6.05 8.85 W W Rhode Island W 5.67 W

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Total (All Sectors) by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 1,836 1.20 10.1 741 0.09 2.0 0 -- -- Connecticut 0

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Average Operating Heat Rate for Selected Energy Sources, 2004 through 2014 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2004 10331 10571 8647 10428 2005 10373 10631 8551 10436 2006 10351 10809 8471 10435 2007 10375 10794 8403 10489 2008 10378 11015 8305 10452 2009 10414 10923 8160 10459 2010 10415 10984 8185 10452 2011 10444 10829 8152 10464 2012 10498 10991 8039 10479 2013 10459 10713 7948 10449 2014 10428 10814 7907 10459 Coal includes anthracite, bituminous, subbituminous

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2014 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459

  4. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Quantity and Net Summer Capacity of Operable Cooling Systems, by Energy Source and Cooling System Type, 2004 - 2014 Once-Through Cooling Systems Recirculating Cooling Systems Cooling Ponds Dry Cooling Systems Hybrid Wet and Dry Cooling Systems Other Cooling System Types Energy Source Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Average Costs of Existing Flue Gas Desulfurization Units Operating in Electric Power Sector, 2004 - 2014 Year Average Operation and Maintenance Costs (Dollars per Megawatthour) Average Installed Capital Costs (Dollars per Kilowatt) 2004 1.25 43.25 2005 1.37 142.67 2006 -- 149.62 2007 1.26 240.68 2008 1.44 265.83 2009 1.44 357.46 2010 1.52 360.69 2011 1.79 410.62 2012 1.87 275.49 2013 1.74 235.42 2014 1.84 227.29 Notes: Average Installed Capital Costs reflect units which began operating in the

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2013 and 2014 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 29,482 33,437 21 31 34 37 Connecticut 7,959 8,726 2 3 8 9 Maine 3,298 3,675 10 12 8 9 Massachusetts 12,231 14,735 6 11 13 14 New Hampshire 3,415 3,447 3 3 4 5 Rhode Island 2,566 2,838 0.09

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Demand-Side Management Program Annual Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 52,663 14,272 1,966 20,997 9,263 54,629 23,535 2005 59,000 15,394 930 21,259 10,341 59,930 25,735 2006 63,076 16,006 790

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Demand-Side Management Program Incremental Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 4,532 1,727 36 3,064 1,163 4,569 2,890 2005 5,879 1,705 137 2,223 1,162 6,016 2,867 2006 5,394 1,268 99 2,817 1,690

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Demand-Side Management Program Incremental Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 1,827 1,812 894 -- 4,532 2005 2,249 2,559 1,071 -- 5,879 2006 2,127 2,281 986 -- 5,394 2007 3,659 2,830 1,178 13 7,680 2008 4,568 4,383 1,477 1 10,428 2009 5,030 4,959 2,918 1 12,907 2010 6,492 5,325 1,771 5 13,592 2011 9,989 8,166 3,261 6 21,421 2012 9,531

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Demand-Side Management Program Direct and Indirect Costs, 2004 through 2012 (Thousand Dollars) (Table Discontinued) Year Energy Efficiency Load Management Direct Cost Indirect Cost Total Cost 2004 910,816 510,281 1,421,097 132,295 1,560,578 2005 1,180,576 622,287 1,802,863 127,925 1,939,115 2006 1,270,602 663,980 1,934,582 128,886 2,072,962 2007 1,677,969 700,362 2,378,331 160,326 2,604,711 2008 2,137,452 836,359 2,973,811 181,843 3,186,742 2009 2,221,480 944,261 3,165,741 394,193 3,607,076

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Energy Efficiency Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Incremental Annual Savings - Energy Savings (MWh) 2013 11,031,419 10,478,997 3,141,213 29,894 24,681,523 2014 11,442,191 11,928,895 3,074,819 19,316 26,465,221 Incremental Annual Savings - Peak Demand Savings (MW) 2013 6,812 11,319 1,463 5 19,599 2014 3,031 2,920 564 2 6,517 Incremental Costs - Customer Incentive (thousand dollars) 2013 1,252,085 1,274,406 345,676 5 2,872,171

  15. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7. Energy Efficiency - Life Cycle Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Life Cycle Savings - Energy Savings (MWh) 2013 84,525,515 128,026,835 38,500,862 448,421 251,464,746 2014 100,729,499 149,493,353 39,631,016 287,925 290,141,793 Life Cycle Savings - Peak Demand Savings (MW) 2013 44,351 70,979 19,524 6 134,861 2014 17,911 46,600 12,248 2 76,760 Life Cycle Costs - Customer Incentive (thousand dollars) 2013 2,698,741 2,875,605 455,357

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0. Advanced Metering Count by Technology Type, 2007 through 2014 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 2013 42,491,242 4,632,744 196,132 1,202 47,321,320 2014

  17. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Sulfur Dioxide Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Tangential Firing Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Distillate Fuel Oil* DFO Source: 2, Table 3.1-2a, 3.4-1 & 1.3-1 Lbs per MG

  18. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Tangential Boiler All Other Boiler Types Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Combustion Turbine Internal Combustion Engine

  19. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    4. Nitrogen Oxides Control Technology Emissions Reduction Factors Reduction Factor Nitrogen Oxides Control Technology EIA Code Coal Residual Fuel Oil and Distallate Fuel Oil Natural Gas Wood Other Solids Other Liquids Other Gases Other Fuels Burner Out of Service BO 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Low Excess Air LA 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Biased Firing (Alternative Burners) BF 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Overfire Air OV 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours

  1. SAS Output

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

    B. U.S. Transformer Outages by Type and NERC region, 2013 Outage Type Eastern Interconnection TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages (Sustained) 59.00 --...

  2. SAS Output

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

    ... "Note: Includes all employees engaged in production, preparation, processing, development, maintenance, repair shop, or yard work at mining operations, including office workers. ...

  3. SAS Output

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

    Includes all employees engaged in production, preparation, processing, development, maintenance, repair shop, or yard work at mining operations, including office workers. Excludes ...

  4. SAS Output

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

    Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 ...

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2004 through 2014 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2004 through 2014 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 2013 2,172,355 3,609 2,188 2014 2,160,342

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Quantity and Net Summer Capacity of Operable Environmental Equipment, 2004 - 2014 Flue Gas Desulfurization Systems Electrostatic Precipitators Baghouses Select Catalytic and Non-Catalytic Reduction Systems Activated Carbon Injection Systems Direct Sorbent Injection Systems Year Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1. Total Electric Power Industry Summary Statistics, 2014 and 2013 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Residential Electric Utilities Independent Power Producers Fuel Facility Type Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Net Generation (Thousand Megawatthours) Coal Utility Scale Facilities 1,581,710

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Summary Statistics for the United States, 2004 - 2014 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 125,037,837 17,582,382 774,808 726 N/A 143,395,753 2009 125,208,829 17,562,235 757,537 704 N/A

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Supply and Disposition of Electricity, 2004 through 2014 (From Chapter 2.) Supply (Million Megawatthours) Generation Year Electric Utilities IPP (Non-CHP) IPP (CHP) Commercial Sector Industrial Sector Total Imports Total Supply 2004 2,505 1,119 184 8 154 34 4,005 2005 2,475 1,247 180 8 145 44 4,099 2006 2,484 1,259 165 8 148 43 4,107 2007 2,504 1,324 177 8 143 51 4,208 2008 2,475 1,332 167 8 137 57 4,176 2009 2,373 1,278 159 8 132 52 4,003 2010 2,472 1,339 162 9 144 45 4,170 2011 2,461 1,331

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    . Number of Ultimate Customers Served by Sector, by Provider, 2004 through 2014 Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 118,763,768 16,606,783 747,600 1,025 136,119,176 2005 120,760,839 16,871,940 733,862 518 138,367,159 2006 122,471,071 17,172,499 759,604 791 140,403,965 2007 123,949,916 17,377,219 793,767 750 142,121,652 2008 125,037,837 17,582,382 774,808 726 143,395,753 2009 125,208,829 17,562,235 757,537 704 143,529,305 2010 125,717,935

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    2. Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Megawatthours) Year Residential Commercial Industrial Transportation Total Direct Use Total End Use Total Electric Industry 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 3,669,918,840

  13. SAS Output

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

    Productive Capacity of Coal Mines by State, 2013 and 2012" "(thousand short tons)" ,2013,,,2012,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",15121,7633,22754,14594,7967,22561,3.6,-4.2,0.9

  14. SAS Output

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

    Capacity Utilization of Coal Mines by State, 2013 and 2012" "(percent)" ,2013,,,2012 "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",89.38,66.73,81.78,85.99,83.96,85.28 "Alaska","-",54.39,54.39,"-",68.4,68.4 "Arizona","-",89.44,89.44,"-",88.16,88.16

  15. SAS Output

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

    19. Average Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2013" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","Above 0","Zero2","Total Number" "and Mine Type",,"to 1,000","to 500","to 200","to

  16. SAS Output

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

    5. Coal Consumers in the Manufacturing and Coke Sectors, 2013" "Company Name","Plant Location" "Top Ten Manufacturers" "American Crystal Sugar Co","MN, ND" "Archer Daniels Midland","IA, IL, MN, NE" "Carmeuse Lime Stone Inc","AL, IN, KY, MI, OH, PA, TN, WI" "Cemex Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical

  17. SAS Output

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

    9. Average Sales Price of Coal by State and Underground Mining Method, 2013" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",88.19 "Arkansas","w","-","-","w" "Colorado","w","-","w",36.62

  18. SAS Output

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

    1. Average Sales Price of Coal by State and Coal Rank, 2013" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" "Alabama",88.2,"-","-","-",88.2 "Alaska","-","w","-","-","w" "Arizona","w","-","-","-","w"

  19. SAS Output

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

    Coal Production and Coalbed Thickness by Major Coalbeds and Mine Type, 2013" ,"Production (thousand short tons)",,,"Thickness (inches)" "Coalbed ID Number1","Underground","Surface","Total","Average2","Low","High" "Coalbed Name" "1699 Wyodak","-",351766,351766,776,160,900 "0212 Pittsburgh",60422,134,60556,74,27,98 "0489 No. 9",42955,12475,55430,64,24,79

  20. SAS Output

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

    Major U.S. Coal Mines, 2013" "Rank","Mine Name / Operating Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining Ll","Surface","Wyoming",111005549 2,"Black Thunder / Thunder Basin Coal Company LLC","Surface","Wyoming",100687876 3,"Cordero Mine / Cordero Mining

  1. SAS Output

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

    Average Price of U.S. Steam Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",66.77,71.02,69.75,69.74,65.78,6 " Canada*",58.57,69.55,74.38,67.41,55.21,22.1 " Dominican

  2. SAS Output

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

    U.S. Metallurgical Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",1549650,1504086,2035265,3499921,4340585,-19.4 " Canada*",1358361,1245194,1438046,2942612,2810906,4.7 " Dominican

  3. SAS Output

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

    Average Price of U.S. Metallurgical Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",96.66,97.73,85.77,96.57,86.97,11 " Canada*",99.34,98.87,87.96,97.75,89.46,9.3 " Dominican

  4. SAS Output

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

    U.S. Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",8557870,10958603,12283396,33112164,42891587,-22.8 " Baltimore, MD",2576557,3838106,2650177,11301131,9335112,21.1 " Boston,

  5. SAS Output

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

    Steam Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",1548026,1877731,2730789,6838402,10771454,-36.5 " Baltimore, MD",660234,1021447,748318,3223473,2702411,19.3 " Boston,

  6. SAS Output

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

    Metallurgical Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",7009844,9080872,9552607,26273762,32120133,-18.2 " Baltimore, MD",1916323,2816659,1901859,8077658,6632701,21.8 " Buffalo, NY",465849,419927,319917,981367,473947,107.1

  7. SAS Output

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

    U.S. Coke Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",151884,301843,315628,553020,599779,-7.8 " Canada*",137062,273140,229301,477799,380794,25.5 " Mexico",14476,28404,85930,74273,217777,-65.9 "

  8. SAS Output

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

    Average Price of U.S. Coke Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",234.67,253.6,264.43,252.47,261.48,-3.4 " Canada*",209.8,247.54,287.72,243.43,285.74,-14.8 "

  9. SAS Output

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

    U.S. Coal Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",349630,325205,275518,846533,702563,20.5 " Canada",349630,325205,275507,846466,702552,20.5 " Mexico","-","-",11,67,11,"NM" "South

  10. SAS Output

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

    Average Price of U.S. Coal Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",121.76,122.71,133.33,119.13,130.81,-8.9 " Canada",121.76,122.71,133.33,119.13,130.81,-8.9 "

  11. SAS Output

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

    Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","July - September","April - June","July - September",2015,2014,"Percent" ,2015,2015,2014,,,"Change" "Eastern Total",234865,114560,146505,869484,1223431,-28.9 " Baltimore, MD",356,"-","-",356,60692,-99.4 " Boston, MA",148334,52801,104452,597508,958257,-37.6 " Buffalo,

  12. SAS Output

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

    U.S. Coke Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",26442,2184,1212,30661,39596,-22.6 " Canada",26442,2184,1212,30661,39596,-22.6 "South America Total",16976,322,10544,17298,10544,64.1 "

  13. SAS Output

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

    Average Price of U.S. Coke Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Origin",2015,2015,2014,,,"Change" "North America Total",120.37,192.95,189.61,131.75,96.81,36.1 " Canada",120.37,192.95,189.61,131.75,96.81,36.1 "South America

  14. SAS Output

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

    2. Coal Production by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","July - September","April - June","July - September",2015,2014,"Percent" "and State",2015,2015,2014,,,"Change" "Alabama",3192,3504,4331,10718,12345,-13.2 "Alaska",255,345,372,866,1178,-26.5 "Arizona",1762,1912,2165,5429,5979,-9.2 "Arkansas",26,27,18,74,58,27.4

  15. SAS Output

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

    U.S. Coal Exports and Imports, 2009 - 2015" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2009,13335,6325,12951,5426,15159,5441,17653,5447,59097,22639

  16. SAS Output

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

    Average Price of U.S. Coal Exports and Imports, 2009 - 2015" "(dollars per short ton)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports"

  17. SAS Output

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

    Quantity and Average Price of U.S. Coal Imports by Origin, 2009 - 2015" "(short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2009,151738,1287626,17787441,2084271,9364,1297214,20861,22638515 2010,380404,1766896,14583950,1904040,52869,581700,82828,19352687

  18. SAS Output

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

    U.S. Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",2956261,3131636,3226447,7953144,8885158,-10.5 " Canada*",1778488,1792272,1907283,4286463,4732264,-9.4 " Dominican

  19. SAS Output

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

    Average Price of U.S. Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",82.44,83.85,79.86,81.55,76.14,7.1 " Canada*",89.71,89.92,84.62,88.24,75.55,16.8 " Dominican

  20. SAS Output

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

    U.S. Steam Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","July - September","April - June","July - September",2015,2014,"Percent" "of Destination",2015,2015,2014,,,"Change" "North America Total",1406611,1627550,1191182,4453223,4544573,-2 " Canada*",420127,547078,469237,1343851,1921358,-30.1 " Dominican

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Winter...

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2002 - 2012, Actual Net Internal Demand (Megawatts) -- Summer...

  3. SAS Output

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

    Coal Production and Number of Mines by State and Coal Rank, 2013" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing","Number ...

  4. SAS Output

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

    Coal Productivity by State and Mine Type, 2013 and 2012" ,"Number of Mining ... per Employee Hour" ,,,..."(short tons)4" "Coal-Producing State, Region1",2013,2012,"Perce...

  5. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2013 and 2012" "(million short tons)" ,2013,,2012 "Coal-Producing","Recoverable Coal","Average ...

  6. SAS Output

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

    Coal Disposition by State, 2013" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales Transactions2","Exports3","Total" "Alabama",6990,"-",10843,178...

  7. SAS Output

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

    Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2013" "(short tons produced per employee hour)" ,"Mine Production Range (thousand short tons)" "Coal-Produc...

  8. SAS Output

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

    4. Coal Mining Productivity by State, Mine Type, and Union Status, 2013" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and Region1","Underground"...

  9. SAS Output

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

    Underground Coal Production by State and Mining Method, 2013" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ...

  10. SAS Output

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

    Major U.S. Coal Producers, 2013" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",183275,18.6 2,"Arch Coal ...

  11. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2013" "(million short tons)" ,"Continuous1",,"Conventional ...

  12. SAS Output

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

    2. Underground Coal Mining Productivity by State and Mining Method, 2013" "(short tons produced per employee hour)" "Coal-Producing State, Region1 and Mine Type","Continuous2","Con...

  13. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine ... "Mine Production Range","Recoverable Coal","Average Recovery","Recoverable ...

  14. SAS Output

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

    Coal Production by Coalbed Thickness and Mine Type, 2013" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",1448,1448 "7 - Under ...

  15. SAS Output

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

    Coal Production by State, Mine Type, and Union Status, 2013" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface",...

  16. SAS Output

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

    7. Year-End Coal Stocks by Sector, Census Division, and State, 2013 and 2012" "(thousand ... Operations Report,' Form EIA-3, 'Quarterly Coal Consumption and Quality Report, ...

  17. SAS Output

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

    Coal Production and Number of Mines by State and Mine Type, 2013 and 2012" "(thousand short tons)" ,2013,,2012,,"Percent Change" "Coal-Producing","Number of Mines","Production","Nu...

  18. SAS Output

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

    3. Average Sales Price of U.S. Coal by State and Disposition, 2013" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",83.43,"-",88.2 ...

  19. SAS Output

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

    Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve Base by Mining Method, 2013" "(million short tons)" ,"Underground - Minable Coal",,,"Surf...

  20. SAS Output

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

    Capacity utilization is the ratio of total production to annual productive capacity. Excludes refuse recovery and mines producing less than 25,000 short tons, which are not ...

  1. SAS Output

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

    8. Average Sales Price of Coal by State and Mine Type, 2013 and 2012" "(dollars per short ton)" ,2013,,,2012,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Un...

  2. SAS Output

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

    2. Average Sales Price of Coal by Mine Production Range and Mine Type, 2013" "(dollars per short ton)" "Mine Production Range (thousand short tons)","Underground","Surface","Total"...

  3. SAS Output

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

    Report No.: DOE/EIA 0218/11" "Report Released: March 17, 2016" "Next Release Date: March 24, 2016" "Weekly U.S. Coal Production Overview" ,"Week Ended",,,"Year to Date1",,,"52 Weeks Ended" "Coal-Producing Region & State","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","application/vnd.ms-excel","%

  4. SAS Output

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

    because of independent rounding." "Source: U.S. Department of Labor, Mine Safety and Health Administration, Form 7000-2, 'Quarterly Mine Employment and Coal Production Report.'

  5. SAS Output

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

    Emission Factors Fuel EIA Fuel Code Source and Tables (As Appropriate) Factor (Pounds of CO2 Per Million Btu)*** Bituminous Coal BIT Source: 1 205.6 Distillate Fuel Oil DFO Source:...

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. Net Generation by Energy Source: Electric Utilities, 2004 - 2014 (Thousand ... Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric ...

  7. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3.A. Net Generation by Energy Source: Independent Power Producers, 2004 - 2014 (Thousand ... Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric ...

  8. SAS Output

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

    mile. Some structures were designed and then built to carry future transmission circuits in order to handle expected growth in new capability requirements. Lines are taken...

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Revenue and Expense Statistics for U.S. Cooperative Borrower-Owned Electric Utilities, 2003 through 2013 (Million Dollars) Description 2003 2004 2005 2006 2007 2008 Operating...

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    6. Revenue from Retail Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2013 (Million Dollars) Period Residential Commercial Industrial...

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    3. Revenue from Retail Sales of Electricity to Ultimate Customers by Sector, by Provider, 2003 through 2013 (Million Dollars) Year Residential Commercial Industrial Transportation...

  12. SAS Output

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

    7. Average Retail Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2003 - December 2013 (Cents per Kilowatthour) Period Residential Commercial Industrial...

  13. SAS Output

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

    4. Average Retail Price of Electricity to Ultimate Customers by End-Use Sectors 2003 through 2013 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation...

  14. SAS Output

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

    9. Demand Response - Program Costs Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Customer Incentives (thousand dollars) 2013 ...

  15. SAS Output

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

    8. Demand Response - Yearly Energy and Demand Savings Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Number of Customers ...

  16. SAS Output

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

    Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Circuit ...

  17. SAS Output

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

    Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by...

  18. SAS Output

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

    2013 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by...

  19. SAS Output

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

    1. Electric Power Industry - Electricity Purchases, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined...

  20. SAS Output

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

    2. Electric Power Industry - Electricity Sales for Resale, 2003 through 2013 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers...

  1. SAS Output

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

    D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities...

  2. SAS Output

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

    D. Coal: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  3. SAS Output

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

    A. Natural Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  4. SAS Output

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

    A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities...

  5. SAS Output

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

    1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2013 and 2012 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric...

  6. SAS Output

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

    A. Coal: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  7. SAS Output

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

    D. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  8. SAS Output

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

    A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  9. SAS Output

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

    D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  10. SAS Output

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

    D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  11. SAS Output

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

    A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent...

  12. SAS Output

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

    D. Natural Gas: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power...

  13. SAS Output

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

    3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2013 and 2012 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors...

  14. SAS Output

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

    0. Consumption of Petroleum Liquids for Electricity Generation by State, by Sector,. 2013 and 2012 (Thousand Barrels) Electric Power Sector Census Division and State All Sectors...

  15. SAS Output

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

    A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2003 - 2013 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric...

  16. SAS Output

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

    2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2013 and 2012 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors...

  17. SAS Output

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

    B. U.S. Transformer Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts High-Side Voltage (kV) Eastern...

  18. SAS Output

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

    A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts Voltage Region Type Operating...

  19. SAS Output

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

    Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 7,846 7,418 6,277 6,137 3,365 3,292 70 38 17,558 16,885 Connecticut 2,306...

  20. SAS Output

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

    Change Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 2,917 1,146 155% 726 353 2,163 773 0 0 28 19 Connecticut 320 41 671% 0 0 320...

  1. SAS Output

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

    l",,"and","Power1","Industrial",,"and",,,"Change" ,,,,"Institutional",,,,"Institutional" "New England",2791,87,"-","-",1920,81,"-","-",2878,2001,43.8 " Connecticut",419,"-","-","-"...

  2. SAS Output

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

    Producers Year 2013 Year 2012 Percentage Change Year 2013 Year 2012 Year 2013 Year 2012 New England W 3.59 W 4.21 4.07 W 3.34 Connecticut W W W -- -- W W Maine W W W -- -- W W...

  3. SAS Output

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

    Change Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 Year 2013 Year 2012 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0...

  4. SAS Output

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

    ","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",86.43,"w","-","-",88.32,165.17,"-","-",-2.14,"w","-","-" "...

  5. SAS Output

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

    ... Notes: 2007 financial data does not include information on Entergy Gulf State Louisiana LLC and Entergy Texas Inc. as both were not reported on the FERC Form for that year. Missing ...

  6. SAS Output

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

    5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2013 Bituminous Subbituminous Lignite Census Division and State Receipts...

  7. SAS Output

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

    Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived ... Facilities Estimated Distributed Solar Photovoltaic Generation Estimated Total Solar ...

  8. SAS Output

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

    at Utility Scale Facilities Estimated Distributed Solar Photovoltaic Generation Estimated Total Solar Photovoltaic Generation Estimated Total Solar Generation Annual Totals ...

  9. SAS Output

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

    NA 64,400 5,305 304 -- 70,009 2009 NA NA NA NA NA 88,205 7,365 919 -- 96,489 Photovoltaic 2010 697.890 517.861 243.051 -- 1,458.802 137,618 11,897 1,225 -- 150,740 2011 ...

  10. SAS Output

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

    78,792.9 79,677.3 79,090.6 Wind 1,032 65,300.1 64,231.5 64,325.1 Solar Thermal and Photovoltaic 1,249 10,437.7 10,323.3 10,167.4 Wood and Wood-Derived Fuels 366 9,524.4 8,368.1 ...

  11. SAS Output

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

    8. Net Generation from Petroleum Liquids by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  12. SAS Output

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

    3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2013 Bituminous Subbituminous Lignite Census Division and State...

  13. SAS Output

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

    7. Net Generation from Coal by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent...

  14. SAS Output

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

    1. Net Generation from Other Gases by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  15. SAS Output

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

    9. Net Generation from Petroleum Coke by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  16. SAS Output

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

    0. Net Generation from Natural Gas by State, by Sector, 2013 and 2012 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities...

  17. SAS Output

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

    " Montgomery",1,5565,"-","-",1,5565 " Perry",1,3176,3,495,4,3671 " ... " Ohio",2,3153,5,5188,7,8341 " Perry",5,2294,16,4722,21,7016 " ...

  18. SAS Output

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

    " Montgomery",1,"w","w" " Perry",4,"w","w" " Randolph",3,"w","w" " ... " Ohio",6,8437,46.2 " Perry",17,5706,65.53 " Pike",50,9218,72.14 " ...

  19. SAS Output

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

    9.B. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  20. SAS Output

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

    8.B. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  1. SAS Output

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

    A. Noncoincident Peak Load by North American Electric Reliability Corporation Assessment Area, 2003 - 2013, Actual Summer Peak Load (Megawatts) Eastern Interconnection ERCOT...

  2. SAS Output

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

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Net Energy for Load represents net Balancing Authority Area generation, plus energy...

  3. SAS Output

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

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Projected data are updated annually. Net Energy for Load represents net Balancing...

  4. A combined compensation method for the output voltage of an insulated core transformer power supply

    SciTech Connect (OSTI)

    Yang, L.; Yang, J. Liu, K. F.; Qin, B.; Chen, D. Z.

    2014-06-15

    An insulated core transformer (ICT) power supply is an ideal high-voltage generator for irradiation accelerators with energy lower than 3 MeV. However, there is a significant problem that the structure of the segmented cores leads to an increase in the leakage flux and voltage differences between rectifier disks. A high level of consistency in the output of the disks helps to achieve a compact structure by improving the utilization of both the rectifier components and the insulation distances, and consequently increase the output voltage of the power supply. The output voltages of the disks which are far away from the primary coils need to be improved to reduce their inhomogeneity. In this study, by investigating and comparing the existing compensation methods, a new combined compensation method is proposed, which increases the turns on the secondary coils and employs parallel capacitors to improve the consistency of the disks, while covering the entire operating range of the power supply. This method turns out to be both feasible and effective during the development of an ICT power supply. The non-uniformity of the output voltages of the disks is less than 3.5% from no-load to full-load, and the power supply reaches an output specification of 350 kV/60 mA.

  5. System and method for cancelling the effects of stray magnetic fields from the output of a variable reluctance sensor

    DOE Patents [OSTI]

    Chen, Chingchi (Ann Arbor, MI); Degner, Michael W. (Farmington Hills, MI)

    2002-11-19

    A sensor system for sensing a rotation of a sensing wheel is disclosed. The sensor system has a sensing coil in juxtaposition with the sensing wheel. Moreover, the sensing coil has a sensing coil output signal indicative of the rotational speed of the sensing wheel. Further, a cancellation coil is located remotely from the sensing coil and connected in series therewith. Additionally, the cancellation coil has a cancellation coil output signal indicative of an environmental disturbance which is effecting the sensing coil output signal. The cancellation coil output signal operates to cancel the effects of the environmental disturbance on the sensing coil output signal.

  6. High-output microwave detector using voltage-induced ferromagnetic resonance

    SciTech Connect (OSTI)

    Shiota, Yoichi Suzuki, Yoshishige; Miwa, Shinji; Tamaru, Shingo; Nozaki, Takayuki; Kubota, Hitoshi; Fukushima, Akio; Yuasa, Shinji

    2014-11-10

    We investigated the voltage-induced ferromagnetic resonance (FMR) with various DC bias voltage and input RF power in magnetic tunnel junctions. We found that the DC bias monotonically increases the homodyne detection voltage due to the nonlinear FMR originating in an asymmetric magnetization-potential in the free layer. In addition, the linear increase of an output voltage to the input RF power in the voltage-induced FMR is more robust than that in spin-torque FMR. These characteristics enable us to obtain an output voltage more than ten times than that of microwave detectors using spin-transfer torque.

  7. Modeling

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

    PVLibMatlab Permalink Gallery Sandia Labs Releases New Version of PVLib Toolbox Modeling, News, Photovoltaic, Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power systems. The version 1.3 release includes the following added functions: functions to estimate parameters for popular PV module models, including PVsyst and the CEC '5 parameter' model a new model of the effects of solar

  8. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  9. Soliton quenching NLTL impulse circuit with a pulse forming network at the output

    DOE Patents [OSTI]

    McEwan, T.E.; Dallum, G.E.

    1998-09-08

    An impulse forming circuit is disclosed which produces a clean impulse from a nonlinear transmission line compressed step function without customary soliton ringing by means of a localized pulse shaping and differentiating network which shunts the nonlinear transmission line output to ground. 5 figs.

  10. PHI.VCS.P8.01 VERAOUT - VERA HDF5 Output Specification Andrew...

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

    HDFView shows the "C" ordering. CASL-U-2014-0043-001 Milestone L3:PHI.VCS.P8.01 8 H5Dump H5Dump produces output consistent with HDFView. H5Dump also uses "C" order when...

  11. Soliton quenching NLTL impulse circuit with a pulse forming network at the output

    DOE Patents [OSTI]

    McEwan, Thomas E. (Livermore, CA); Dallum, Gregory E. (Livermore, CA)

    1998-01-01

    An impulse forming circuit is disclosed which produces a clean impulse from a nonlinear transmission line compressed step function without customary soliton ringing by means of a localized pulse shaping and differentiating network which shunts the nonlinear transmission line output to ground.

  12. Modeling

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

    Engine Combustion/Modeling - Modelingadmin2015-10-28T01:54:52+00:00 Modelers at the CRF are developing high-fidelity simulation tools for engine combustion and detailed micro-kinetic, surface chemistry modeling tools for catalyst-based exhaust aftertreatment systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new understanding of the fundamental processes involved in engine

  13. Modeling

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

    Reacting Flow/Modeling - Modelingadmin2015-10-28T02:39:13+00:00 Turbulence models typically involve coarse-graining and/or time averaging. Though adequate for modeling mean transport, this approach does not address turbulence-microphysics interactions that are important in combustion processes. Subgrid models are developed to represent these interactions. The CRF has developed a fundamentally different representation of these interactions that does not involve distinct coarse-grained and subgrid

  14. Modeling

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

    Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project Capabilities, Center for Infrastructure Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News, News & Events, Partnership, Research & Capabilities, Systems Analysis, Systems Engineering, Transportation Energy Widespread Hydrogen Fueling Infrastructure Is

  15. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  16. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, G.; Beale, W.T.

    1990-04-03

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand. 6 figs.

  17. Spin-on-doping for output power improvement of silicon nanowire array based thermoelectric power generators

    SciTech Connect (OSTI)

    Xu, B. Fobelets, K.

    2014-06-07

    The output power of a silicon nanowire array (NWA)-bulk thermoelectric power generator (TEG) with Cu contacts is improved by spin-on-doping (SOD). The Si NWAs used in this work are fabricated via metal assisted chemical etching (MACE) of 0.010.02 ? cm resistivity n- and p-type bulk, converting ~4% of the bulk thickness into NWs. The MACE process is adapted to ensure crystalline NWs. Current-voltage and Seebeck voltage-temperature measurements show that while SOD mainly influences the contact resistance in bulk, it influences both contact resistance and power factor in NWA-bulk based TEGs. According to our experiments, using Si NWAs in combination with SOD increases the output power by an order of 3 under the same heating power due to an increased power factor, decreased thermal conductivity of the NWA and reduced Si-Cu contact resistance.

  18. Experimental investigation of a relativistic magnetron with diffraction output on a repetitive short pulse generator

    SciTech Connect (OSTI)

    Li, Wei; Zhang, Jun; Zhang, Zi-cheng; Sun, Xiao-liang; Liu, Yong-gui

    2014-04-15

    An experimental investigation of a relativistic Magnetron with Diffraction Output (MDO) on a short voltage pulse generator, which has maximum repetition rate of 100?Hz and plateau of 2.5?ns, is detailed in this paper. Compared to the conversional solid cathode, a direct Density Modulation Cathode is capable for desired microwave radiation. When applied voltage is 200?kV and axial magnetic field is ?0.12?T, the MDO radiates 120?MW of microwave with 2.3?GHz of central frequency. Power conversion efficiency reaches 22%. Pulse duration is 3?ns. At repetition rates of 50?Hz and 100?Hz, output microwave powers range from 90?MW to 120?MW. Life time is up to 10{sup 4} shots.

  19. Double Power Output for GaAs Solar Cells Embedded in Luminescent Waveguides

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

    Power Output for GaAs Solar Cells Embedded in Luminescent Waveguides Work w as p erformed a t U niversity o f I llinois X. S heng, L . S hen, T . K im, L . L i, X . W ang, R . D owdy, P . F roeter, K . S higeta, X . L i, R.G. N uzzo, N .C. G iebink, a nd J .A. R ogers, A dv. E nergy M ater., i n p ress ( 2013) GaAs cell transfer printed on a free standing LSC with a diffuse BSR separated by an air gap Scientific Achievement Double power output of bifacial thin-film GaAs microscale solar cells is

  20. Variable gas spring for matching power output from FPSE to load of refrigerant compressor

    DOE Patents [OSTI]

    Chen, Gong (Athens, OH); Beale, William T. (Athens, OH)

    1990-01-01

    The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand.

  1. Modeling

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

    New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Partnership New Project Is the ACME of Computer Science to Address Climate Change Sandia high-performance computing (HPC) researchers are working with DOE and 14 other national laboratories and institutions to develop and apply the most complete climate and Earth system model, to address the most challenging and

  2. Modeling

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

    A rail tank car of the type used to transport crude oil across North America. Recent incidents have raised concerns about the safety of this practice, which the DOE-DOT-sponsored team is investigating. (photo credit: Harvey Henkelmann) Permalink Gallery Expansion of DOE-DOT Tight Oil Research Work Capabilities, Carbon Capture & Storage, Carbon Storage, Energy, Energy Assurance, Energy Assurance, Fuel Options, Infrastructure Assurance, Infrastructure Security, Modeling, Modeling, Modeling

  3. METHOD OF MEASURING THE INTEGRATED ENERGY OUTPUT OF A NEUTRONIC CHAIN REACTOR

    DOE Patents [OSTI]

    Sturm, W.J.

    1958-12-01

    A method is presented for measuring the integrated energy output of a reactor conslsting of the steps of successively irradiating calibrated thin foils of an element, such as gold, which is rendered radioactive by exposure to neutron flux for periods of time not greater than one-fifth the mean life of the induced radioactlvity and producing an indication of the radioactivity induced in each foil, each foil belng introduced into the reactor immediately upon removal of its predecessor.

  4. An accurate system for onsite calibration of electronic transformers with digital output

    SciTech Connect (OSTI)

    Zhi Zhang; Li Hongbin

    2012-06-15

    Calibration systems with digital output are used to replace conventional calibration systems because of principle diversity and characteristics of digital output of electronic transformers. But precision and unpredictable stability limit their onsite application even development. So fully considering the factors influencing accuracy of calibration system and employing simple but reliable structure, an all-digital calibration system with digital output is proposed in this paper. In complicated calibration environments, precision and dynamic range are guaranteed by A/D converter with 24-bit resolution, synchronization error limit is nanosecond by using the novelty synchronization method. In addition, an error correction algorithm based on the differential method by using two-order Hanning convolution window has good inhibition of frequency fluctuation and inter-harmonics interference. To verify the effectiveness, error calibration was carried out in the State Grid Electric Power Research Institute of China and results show that the proposed system can reach the precision class up to 0.05. Actual onsite calibration shows that the system has high accuracy, and is easy to operate with satisfactory stability.

  5. Ota City : characterizing output variability from 553 homes with residential PV systems on a distribution feeder.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Miyamoto, Yusuke; Nakashima, Eichi; Lave, Matthew

    2011-11-01

    This report describes in-depth analysis of photovoltaic (PV) output variability in a high-penetration residential PV installation in the Pal Town neighborhood of Ota City, Japan. Pal Town is a unique test bed of high-penetration PV deployment. A total of 553 homes (approximately 80% of the neighborhood) have grid-connected PV totaling over 2 MW, and all are on a common distribution line. Power output at each house and irradiance at several locations were measured once per second in 2006 and 2007. Analysis of the Ota City data allowed for detailed characterization of distributed PV output variability and a better understanding of how variability scales spatially and temporally. For a highly variable test day, extreme power ramp rates (defined as the 99th percentile) were found to initially decrease with an increase in the number of houses at all timescales, but the reduction became negligible after a certain number of houses. Wavelet analysis resolved the variability reduction due to geographic diversity at various timescales, and the effect of geographic smoothing was found to be much more significant at shorter timescales.

  6. Controlling output pulse and prepulse in a resonant microwave pulse compressor

    SciTech Connect (OSTI)

    Shlapakovski, A.; Artemenko, S.; Chumerin, P.; Yushkov, Yu.

    2013-02-07

    A resonant microwave pulse compressor with a waveguide H-plane-tee-based energy extraction unit was studied in terms of its capability to produce output pulses that comprise a low-power long-duration (prepulse) and a high-power short-duration part. The application of such combined pulses with widely variable prepulse and high-power pulse power and energy ratios is of interest in the research area of electronic hardware vulnerability. The characteristics of output radiation pulses are controlled by the variation of the H-plane tee transition attenuation at the stage of microwave energy storage in the compressor cavity. Results of theoretical estimations of the parameters tuning range and experimental investigations of the prototype S-band compressor (1.5 MW, 12 ns output pulse; {approx}13.2 dB gain) are presented. The achievable maximum in the prepulse power is found to be about half the power of the primary microwave source. It has been shown that the energy of the prepulse becomes comparable with that of the short-duration (nanosecond) pulse, while the power of the latter decreases insignificantly. The possible range of variation of the prepulse power and energy can be as wide as 40 dB. In the experiments, the prepulse level control within the range of {approx}10 dB was demonstrated.

  7. Increasing output power of an 850 MHz tetrode with a floating-deck modulator

    SciTech Connect (OSTI)

    Rees, D.; Friedrichs, C.

    1990-01-01

    Designers of high-power amplifiers generally regard the region above 300 MHz as a domain dominated by velocity-modulated (klystron/TWT) devices. However, as the power requirements diminish, there are attractive alternatives. The high-power 850-MHz requirements of the ground test accelerator (GTA) program can be filled by 1-MW klystrons, but it would be more efficient to use a lower-power device for a 50-kW requirement. To meet the 850-MHz medium-power requirements, Los Alamos National Laboratory is developing an 850-MHz tetrode amplifier. These amplifiers will provide rf power to the momentum compactor and bunch rotator cavities of the GTA. Available tubes provide only a limited safety margin for a low-risk design at the power levels and duty factor required for GTA cavities. At 850 MHz, the output power capability of available tubes is reduced because of transit time effects and limited anode voltage holdoff. Pulsing the anode of the output tetrode amplifier will allow higher output power with minimum design risk. A floating-deck modulator acts as a high-voltage/high-current switch, so voltage is applied to the anode of the gridded tube only during the rf pulse. The anode voltage holdoff capability of the tube is substantially enhanced by operating in this mode. This paper will describe the design of the floating deck modulator and its impact on the design risk of the 850-MHz tetrode amplifier.

  8. Modeling

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

    in warm dense matter experiments with diffuse interface methods in the ALE-AMR code Wangyi Liu ∗ , John Barnard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder † August 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid

  9. Microsoft Word - S02459_2006Annual GW Rpt.doc

    Office of Legacy Management (LM)

    Ground Water Model-Predicted Uranium Concentrations This page intentionally left blank U.S. Department of Energy Monticello Mill Tailings Site OU III Annual Ground Water Report October 2005-April 2006 September 2006 Doc. No. S0245900 Page G-3 Table G-1. Uranium Concentration Variation: Background Locations Observations Loc 92-01 Loc 92-03 Loc 92-05 Loc MW00-01 Loc MW00-02 Date Sampled Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) 11/12/1992 0.0058 0.0048 03/08/1993

  10. DRI Model of the U.S. Economy -- Model Documentation:

    Reports and Publications (EIA)

    1993-01-01

    Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.

  11. modeling

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

    modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  12. Modeling

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

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the Earth looks like at night? NASA provides a clear, cloud-free view of the Earth at night using the Suomi National Polar-orbiting Partnership Satellite. The satellite utilizes an instrument known as the Visible Infrared Radiometer Suite (VIIRS), which allows the satellite to capture images of a "remarkably detailed

  13. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  14. Modeling

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

    diffuse interface methods in ALE-AMR code with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2 LLNL, USA This work was part of the Petascale Initiative in Computational Science at NERSC, supported by the Director, Office of Science, Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work was performed

  15. A 30 MW, 200 MHz Inductive Output Tube for RF Accelerators

    SciTech Connect (OSTI)

    R. Lawrence Ives; Michael Read

    2008-06-19

    This program investigated development of a multiple beam inductive output tube (IOT) to produce 30 MW pulses at 200 MHz. The program was successful in demonstrating feasibility of developing the source to achieve the desired power in microsecond pulses with 70% efficiency. The predicted gain of the device is 24 dB. Consequently, a 200 kW driver would be required for the RF input. Estimated cost of this driver is approximately $1.25 M. Given the estimated development cost of the IOT of approximately $750K and the requirements for a test set that would significantly increase the cost, it was determined that development could not be achieved within the funding constraints of a Phase II program.

  16. A 350 MHz, 200 kW CW, Multiple Beam Inductive Output Tube - Final Report

    SciTech Connect (OSTI)

    R.Lawrece Ives; George Collins; David Marsden Michael Read; Edward Eisen; Takuchi Kamura, Philipp Borchard

    2012-11-28

    This program developed a 200 kW CW, 350 MHz, multiple beam inductive output tube (MBIOT) for driving accelerator cavities. The MBIOT operates at 30 kV with a gain of 23 dB. The estimated efficiency is 70%. The device uses seven electron beams, each transmitting 1.4 A of current. The tube is approximately six feet long and weighs approximately 400 lbs. The prototype device will be evaluated as a potential RF source for the Advanced Photon Source at Argonne National Laboratory (ANL). Because of issues related to delivery of the electron guns, it was not possible to complete assembly and test of the MBIOT during the Phase II program. The device is being completed with support from Calabazas Creek Research, Inc., Communications & Power Industries, LLC. and the Naval Surface Weapons Center (NSWC) in Dahlgren, VA. The MBIOT will be initially tested at NSWC before delivery to ANL. The testing at NSWC is scheduled for February 2013.

  17. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  18. C:\DOCUME~1\wei\LOCALS~1\Temp\WEI13737.loc

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

    WEI13737 S.L.C. AMENDMENT NO.llll Calendar No.lll Purpose: To modify the efficiency standards for grid-enabled water heaters. IN THE SENATE OF THE UNITED STATES-113th Cong., 1st Sess. S. 1392 To promote energy savings in residential buildings and industry, and for other purposes. Referred to the Committee on llllllllll and ordered to be printed Ordered to lie on the table and to be printed AMENDMENT intended to be proposed by Mr. HOEVEN (for himself and Mr. PRYOR) Viz: On page 48, after line 16,

  19. Dynamic cable analysis models

    SciTech Connect (OSTI)

    Palo, P.A.; Meggitt, D.J.; Nordell, W.J.

    1983-05-01

    This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.

  20. NREL: Jobs and Economic Development Impact (JEDI) Models - Limitations of

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

    JEDI Models Limitations of JEDI Models Results are an estimate, not a precise forecast. The Jobs and Economic Development Impact (JEDI) models are input-output based models, also appropriately called calculators or screening tools. As such, they share important limitations with all models based on input-output calculation methodologies. For the interested user, the Environmental Protection Agency recently published EPA Assessing the Multiple Benefits of Clean Energy: A Resource for States1,

  1. A practical and theoretical definition of very small field size for radiotherapy output factor measurements

    SciTech Connect (OSTI)

    Charles, P. H. Crowe, S. B.; Langton, C. M.; Trapp, J. V.; Cranmer-Sargison, G.; Thwaites, D. I.; Kairn, T.; Knight, R. T.; Kenny, J.

    2014-04-15

    Purpose: This work introduces the concept of very small field size. Output factor (OPF) measurements at these field sizes require extremely careful experimental methodology including the measurement of dosimetric field size at the same time as each OPF measurement. Two quantifiable scientific definitions of the threshold of very small field size are presented. Methods: A practical definition was established by quantifying the effect that a 1 mm error in field size or detector position had on OPFs and setting acceptable uncertainties on OPF at 1%. Alternatively, for a theoretical definition of very small field size, the OPFs were separated into additional factors to investigate the specific effects of lateral electronic disequilibrium, photon scatter in the phantom, and source occlusion. The dominant effect was established and formed the basis of a theoretical definition of very small fields. Each factor was obtained using Monte Carlo simulations of a Varian iX linear accelerator for various square field sizes of side length from 4 to 100 mm, using a nominal photon energy of 6 MV. Results: According to the practical definition established in this project, field sizes ?15 mm were considered to be very small for 6 MV beams for maximal field size uncertainties of 1 mm. If the acceptable uncertainty in the OPF was increased from 1.0% to 2.0%, or field size uncertainties are 0.5 mm, field sizes ?12 mm were considered to be very small. Lateral electronic disequilibrium in the phantom was the dominant cause of change in OPF at very small field sizes. Thus the theoretical definition of very small field size coincided to the field size at which lateral electronic disequilibrium clearly caused a greater change in OPF than any other effects. This was found to occur at field sizes ?12 mm. Source occlusion also caused a large change in OPF for field sizes ?8 mm. Based on the results of this study, field sizes ?12 mm were considered to be theoretically very small for 6 MV beams. Conclusions: Extremely careful experimental methodology including the measurement of dosimetric field size at the same time as output factor measurement for each field size setting and also very precise detector alignment is required at field sizes at least ?12 mm and more conservatively?15 mm for 6 MV beams. These recommendations should be applied in addition to all the usual considerations for small field dosimetry, including careful detector selection.

  2. Stirling converters for space dynamic power concepts with 2 to 130 W{sub e} output

    SciTech Connect (OSTI)

    Ross, B.A.

    1995-12-31

    Three innovative Stirling converter concepts are described. Two concepts are based on Pluto Fast Flyby (PFF) mission requirements, where two General Purpose Heat Source (GPHS) modules provide the thermal input. The first concept (PFF2) considers a power system with two opposed Stirling converters; the second concept (PFF4) considers four opposed Stirling converters. For both concepts the Stirling converters are designed to vary their power production capability to compensate for the failure of one Stirling converter. While the net thermal efficiency of PFF4 is a few percentage points lower than PFF2, the total Stirling converter mass of PFF4 is half that for PFF2. The third concept (ITTI) is designed to supply 2 watts of power for weather stations on the Martian surface. The predicted thermal performance of the ITTI is low compared to PFF2 and PFF4, yet the ITTI concept offers significant advantages compared to currently available power systems at the 2-watt power level. All three concepts are based on long-life technology demonstrated by an 11-watt output Stirling generator that as of March 1995 has accumulated over 15,000 operating hours without maintenance.

  3. Performance of improved magnetostrictive vibrational power generator, simple and high power output for practical applications

    SciTech Connect (OSTI)

    Ueno, Toshiyuki

    2015-05-07

    Vibration based power generation technology is utilized effectively in various fields. Author has invented novel vibrational power generation device using magnetostrictive material. The device is based on parallel beam structure consisting of a rod of iron-gallium alloy wound with coil and yoke accompanied with permanent magnet. When bending force is applied on the tip of the device, the magnetization inside the rod varies with induced stress due to the inverse magnetostrictive effect. In vibration, the time variation of the magnetization generates voltage on the wound coil. The magnetostrictive type is advantageous over conventional such using piezoelectric or moving magnet types in high efficiency and high robustness, and low electrical impedance. Here, author has established device configuration, simple, rigid, and high power output endurable for practical applications. In addition, the improved device is lower cost using less volume of Fe-Ga and permanent magnet compared to our conventional, and its assembly by soldering is easy and fast suitable for mass production. Average power of 3 mW/cm{sup 3} under resonant vibration of 212?Hz and 1.2?G was obtained in miniature prototype using Fe-Ga rod of 2 0.5 7?mm{sup 3}. Furthermore, the damping effect was observed, which demonstrates high energy conversion of the generator.

  4. Output Performance and Payback Analysis of a Residential Photovoltaic System in Colorado: Preprint

    SciTech Connect (OSTI)

    Johnston, S.

    2012-06-01

    Cost of installation and ownership of a 9.66-kilowatt (kW) residential photovoltaic system is described, and the performance of this system over the past 3 years is shown. The system is located in Colorado at 40 degrees latitude and consists of arrays on two structures. Two arrays are installed on a detached garage, and these are each composed of 18 Kyocera 130-W modules strung in series facing south at an angle of 40 degrees above horizontal. Each 18-panel array feeds into a Xantrex/Schneider Electric 2.8-kW inverter. The other two arrays are installed on the house and face south at an angle of 30 degrees. One of these arrays has twelve 205-W Kyocera panels in series, and the other is made up of twelve 210-Kyocera panels. Each of these arrays feeds into Xantrex/Schneider Electric 3.3-kW inverters. Although there are various shading issues from trees and utility poles and lines, the overall output resembles that which is expected from PVWatts, a solar estimate program. The array cost, which was offset by rebates from the utility company and federal tax credits, was $1.17 per watt. Considering measured system performance, the estimated payback time of the system is 9 years.

  5. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  6. ARM - Evaluation Product - Aerosol Modeling Testbed

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

    and satellite aerosol optical depth data is included to supplement and enhance the value of the CARES data. The software that is provided in AMT extracts model output from...

  7. PV output smoothing using a battery and natural gas engine-generator.

    SciTech Connect (OSTI)

    Johnson, Jay; Ellis, Abraham; Denda, Atsushi; Morino, Kimio; Shinji, Takao; Ogata, Takao; Tadokoro, Masayuki

    2013-02-01

    In some situations involving weak grids or high penetration scenarios, the variability of photovoltaic systems can affect the local electrical grid. In order to mitigate destabilizing effects of power fluctuations, an energy storage device or other controllable generation or load can be used. This paper describes the development of a controller for coordinated operation of a small gas engine-generator set (genset) and a battery for smoothing PV plant output. There are a number of benefits derived from using a traditional generation resource in combination with the battery; the variability of the photovoltaic system can be reduced to a specific level with a smaller battery and Power Conditioning System (PCS) and the lifetime of the battery can be extended. The controller was designed specifically for a PV/energy storage project (Prosperity) and a gas engine-generator (Mesa Del Sol) currently operating on the same feeder in Albuquerque, New Mexico. A number of smoothing simulations of the Prosperity PV were conducted using power data collected from the site. By adjusting the control parameters, tradeoffs between battery use and ramp rates could be tuned. A cost function was created to optimize the control in order to balance, in this example, the need to have low ramp rates with reducing battery size and operation. Simulations were performed for cases with only a genset or battery, and with and without coordinated control between the genset and battery, e.g., without the communication link between sites or during a communication failure. The degree of smoothing without coordinated control did not change significantly because the battery dominated the smoothing response. It is anticipated that this work will be followed by a field demonstration in the near future.

  8. Gamma-ray Output Spectra from 239 Pu Fission

    SciTech Connect (OSTI)

    Ullmann, John

    2015-05-25

    Gamma-ray multiplicities, individual gamma-ray energy spectra, and total gamma energy spectra following neutron-induced fission of 239Pu were measured using the DANCE detector at Los Alamos. Corrections for detector response were made using a forward-modeling technique based on propagating sets of gamma rays generated from a paramaterized model through a GEANT model of the DANCE array and adjusting the parameters for best fit to the measured spectra. The results for the gamma-ray spectrum and multiplicity are in general agreement with previous results, but the measured total gamma-ray energy is about 10% higher. A dependence of the gamma-ray spectrum on the gamma-ray multplicity was also observed. Global model calculations of the multiplicity and gamma energy distributions are in good agreement with the data, but predict a slightly softer total-energy distribution.

  9. Electrical Power Grid Delivery Dynamic Analysis: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer; Michael E. Reed

    2011-11-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  10. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  11. Photovoltaic System Modeling. Uncertainty and Sensitivity Analyses

    SciTech Connect (OSTI)

    Hansen, Clifford W.; Martin, Curtis E.

    2015-08-01

    We report an uncertainty and sensitivity analysis for modeling AC energy from ph otovoltaic systems . Output from a PV system is predicted by a sequence of models. We quantify u ncertainty i n the output of each model using empirical distribution s of each model's residuals. We propagate uncertainty through the sequence of models by sampli ng these distributions to obtain a n empirical distribution of a PV system's output. We consider models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane - of - array irradiance; (2) estimate effective irradiance; (3) predict cell temperature; (4) estimate DC voltage, current and power ; (5) reduce DC power for losses due to inefficient maximum power point tracking or mismatch among modules; and (6) convert DC to AC power . O ur analysis consider s a notional PV system com prising an array of FirstSolar FS - 387 modules and a 250 kW AC inverter ; we use measured irradiance and weather at Albuquerque, NM. We found the uncertainty in PV syste m output to be relatively small, on the order of 1% for daily energy. We found that unce rtainty in the models for POA irradiance and effective irradiance to be the dominant contributors to uncertainty in predicted daily energy. Our analysis indicates that efforts to reduce the uncertainty in PV system output predictions may yield the greatest improvements by focusing on the POA and effective irradiance models.

  12. Edge-facet pumped, multi-aperture, thin-disk laser geometry for very high average power output scaling

    DOE Patents [OSTI]

    Zapata, Luis E.

    2004-12-21

    The average power output of a laser is scaled, to first order, by increasing the transverse dimension of the gain medium while increasing the thickness of an index matched light guide proportionately. Strategic facets cut at the edges of the laminated gain medium provide a method by which the pump light introduced through edges of the composite structure is trapped and passes through the gain medium repeatedly. Spontaneous emission escapes the laser volume via these facets. A multi-faceted disk geometry with grooves cut into the thickness of the gain medium is optimized to passively reject spontaneous emission generated within the laser material, which would otherwise be trapped and amplified within the high index composite disk. Such geometry allows the useful size of the laser aperture to be increased, enabling the average laser output power to be scaled.

  13. Method for optimizing output in ultrashort-pulse multipass laser amplifiers with selective use of a spectral filter

    DOE Patents [OSTI]

    Backus, Sterling J. (Erie, CO); Kapteyn, Henry C. (Boulder, CO)

    2007-07-10

    A method for optimizing multipass laser amplifier output utilizes a spectral filter in early passes but not in later passes. The pulses shift position slightly for each pass through the amplifier, and the filter is placed such that early passes intersect the filter while later passes bypass it. The filter position may be adjust offline in order to adjust the number of passes in each category. The filter may be optimized for use in a cryogenic amplifier.

  14. Measurement of relative output factors for the 8 and 4 mm collimators of Leksell Gamma Knife Perfexion by film dosimetry

    SciTech Connect (OSTI)

    Novotny, Josef Jr.; Bhatnagar, Jagdish P.; Quader, Mubina A.; Bednarz, Greg; Lunsford, L. Dade; Huq, M. Saiful

    2009-05-15

    Three types of films, Kodak EDR2, Gafchromic EBT, and Gafchromic MD-V2-55, were used to measure relative output factors of 4 and 8 mm collimators of the Leksell Gamma Knife Perfexion. The optical density to dose calibration curve for each of the film types was obtained by exposing the films to a range of known doses. Ten data points were acquired for each of the calibration curves in the dose ranges from 0 to 4 Gy, 0 to 8 Gy, and 0 to 80 Gy for Kodak EDR2, Gafchromic EBT, and Gafchromic MD-V2-55 films, respectively. For the measurement of relative output factors, five films of each film type were exposed to a known dose. All films were scanned using EPSON EXPRESSION 10000 XL scanner with 200 dpi resolution in 16 bit gray scale for EDR2 film and 48 bit color scale for Gafchromic films. The scanned images were imported in the red channel for both Gafchromic films. The background corrections from an unexposed film were applied to all films. The output factors obtained from film measurements were in a close agreement both with the Monte Carlo calculated values of 0.924 and 0.805 for 8 and 4 mm collimators, respectively. These values are provided by the vendor and used as default values in the vendor's treatment planning system. The largest differences were noted for the Kodak EDR 2 films (-2.1% and -4.5% for 8 and 4 mm collimators, respectively). The best agreement observed was for EBT Gafchromic film (-0.8% and +0.6% differences for 8 and 4 mm collimators, respectively). Based on the present values, no changes in the default relative output factor values were made in the treatment planning system.

  15. Nd:YAG pulsed laser output at 1. 064, 1. 073, 1. 061 and 1. 052 micrometers singlet spectral lines

    SciTech Connect (OSTI)

    Not Available

    1981-11-01

    Single spectral lines at 1.064, 1.073, 1.061, and 1.052 micron were obtained respectively by inserting into the cavity the uncoated (or coated) solid etalons of 0.1 mm or both 0.1 mm and 0.14 mm thickness and appropriately controlling the gain of Nd:YAG laser and tilted angles of the etalons. An output cavity mirror which has different reflectivities for different wavelengths was also developed.

  16. Update to industrial drivers in the AEO2015 as a result of new input-output data

    Gasoline and Diesel Fuel Update (EIA)

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  17. Enhancing photovoltaic output power by 3-band spectrum-splitting and concentration using a diffractive micro-optic

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Mohammad, Nabil; Wang, Peng; Friedman, Daniel J.; Menon, Rajesh

    2014-09-17

    We report the enhancement of photovoltaic output power by separating the incident spectrum into 3 bands, and concentrating these bands onto 3 different photovoltaic cells. The spectrum-splitting and concentration is achieved via a thin, planar micro-optical element that demonstrates high optical efficiency over the entire spectrum of interest. The optic (which we call a polychromat) was designed using a modified version of the direct-binary-search algorithm. The polychromat was fabricated using grayscale lithography. Rigorous optical characterization demonstrates excellent agreement with simulation results. Electrical characterization of the solar cells made from GaInP, GaAs and Si indicate increase in the peak output powermore » density of 43.63%, 30.84% and 30.86%, respectively when compared to normal operation without the polychromat. This represents an overall increase of 35.52% in output power density. As a result, the potential for cost-effective large-area manufacturing and for high system efficiencies makes our approach a strong candidate for low cost solar power.« less

  18. Method And Aparatus For Improving Resolution In Spectrometers Processing Output Steps From Non-Ideal Signal Sources

    DOE Patents [OSTI]

    Warburton, William K. (1300 Mills St., Menlo Park, CA 94025); Momayezi, Michael (San Francisco, CA)

    2003-07-01

    A method and apparatus for processing step-like output signals generated by non-ideal, nominally single-pole ("N-1P") devices responding to possibly time-varying, pulse-like input signals of finite duration, wherein the goal is to recover the integrated areas of the input signals. Particular applications include processing step-like signals generated by detector systems in response to absorbed radiation or particles and, more particularly, to digitally processing such step-like signals in high resolution, high rate gamma ray (.gamma.-ray) spectrometers with resistive feedback preamplifiers connected to large volume germanium detectors. Superconducting bolometers can be similarly treated. The method comprises attaching a set of one or more filters to the device's (e.g., preamplifier's) output, capturing a correlated multiple output sample from the filter set in response to a detected event, and forming a weighted sum of the sample values to accurately recover the total area (e.g., charge) of the detected event.

  19. Develop the dual fuel conversion system for high output, medium speed diesel engines. Final report

    SciTech Connect (OSTI)

    1998-07-16

    The original plan for the project involved design modifications to an existing system to enhance its performance and increase the limit of power that was achieved by the original design and to apply the higher performance product to the full sized engine and test its performance. The new system would also be applied to a different engine model. The specific work would include the redesign of gas injectors, piston configurations and two types of igniters, engine instrumentation, monitoring and testing.

  20. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  1. New constraints in absorptive capacity and the optimum rate of petroleum output

    SciTech Connect (OSTI)

    El Mallakh, R

    1980-01-01

    Economic policy in four oil-producing countries is analyzed within a framework that combines a qualitative assessment of the policy-making process with an empirical formulation based on historical and current trends in these countries. The concept of absorptive capacity is used to analyze the optimum rates of petroleum production in Iran, Iraq, Saudi Arabia, and Kuwait. A control solution with an econometric model is developed which is then modified for alternative development strategies based on analysis of factors influencing production decisions. The study shows the consistencies and inconsistencies between the goals of economic growth, oil production, and exports, and the constraints on economic development. Simulation experiments incorporated a number of the constraints on absorptive capacity. Impact of other constraints such as income distribution and political stability is considered qualitatively. (DLC)

  2. Waveguide CO{sub 2} laser with a quasi-homogeneous distribution of the output radiation intensity

    SciTech Connect (OSTI)

    Vlasenko, S A; Gurin, O V; Degtyarev, A V; Maslov, Vyacheslav A; Svich, V A; Topkov, A N

    2013-05-31

    An experimental sample of a waveguide CO{sub 2} laser with a quasi-uniform profile of the output radiation intensity is designed on the basis of a waveguide quasi-optical cavity of a new type comprising the generic confocal cavity with a nonuniform mirror and the hollow waveguide with the dimensions satisfying the conditions for self-imaging the quasi-uniform field. The surface of the mirror has the discrete large-scale absorbing nonuniformities. Results of theoretical and experimental investigations of spatial-energy characteristics of the laser in using uniform or amplitude-stepped reflecting mirrors are presented. (lasers)

  3. U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988 U.S. crude oil production in 2014 is now expected to top 8 million barrels per day for the first time in over a quarter century. The U.S. Energy Information Administration boosted its forecast for daily crude oil production this year by 120,000 barrels to 7.4 million barrels per day. For 2014, EIA's forecast for daily production was revised upward by 310,000 barrels to nearly 8.2 million barrels per

  4. Job and Economic Development Impact Models (JEDI) | Open Energy...

    Open Energy Info (EERE)

    and biofuel plants at the local and state levels. It comes as a separate model for wind, PV, natural gas, CSP, coal, and biofuels. Job's, earnings, and impact are outputs. Inputs...

  5. ALGEBRA: a computer program that algebraically manipulates finite element output data. [In extended FORTRAN for CDC 7600 or CYBER 76 only

    SciTech Connect (OSTI)

    Richgels, M A; Biffle, J H

    1980-09-01

    ALGEBRA is a program that allows the user to process output data from finite-element analysis codes before they are sent to plotting routines. These data take the form of variable values (stress, strain, and velocity components, etc.) on a tape that is both the output tape from the analyses code and the input tape to ALGEBRA. The ALGEBRA code evaluates functions of these data and writes the function values on an output tape that can be used as input to plotting routines. Convenient input format and error detection capabilities aid the user in providing ALGEBRA with the functions to be evaluated. 1 figure.

  6. Enzymatic Filter for Improved Separation of Output Signals in Enzyme Logic Systems towards 'Sense and Treat' Medicine

    SciTech Connect (OSTI)

    Mailloux, Shay; Zavalov, Oleksandr; Guz, Nataliia; Katz, Evgeny; Bocharova, Vera

    2014-01-01

    The major challenge for application of autonomous medical sensing systems is the noise produced by non-zero physiological concentrations of the sensed target. If the level of noise is high, then a real signal indicating abnormal changes in the physiological levels of the analytes might be hindered. Inevitably, this could lead to wrong diagnostics and treatment, and would have a negative impact on human health. Here, we report the realization of a filter system implemented to improve both the fidelity of sensing and accuracy of consequent drug release. A new filtering method was tested in the sensing system for the diagnosis of liver injury. This sensing system used the enzymes alanine transaminase (ALT) and aspartate transaminase (AST) as the inputs. Furthermore, the output of the sensing system was designed to trigger drug release, and therefore, the role of the filter in drug release was also investigated. The drug release system consists of beads with an iron - cross-linked alginate core coated with different numbers of layers of poly-L-lysine. Dissolution of the beads by the output signals of the sensing system in the presence and absence of the filter was monitored by release of encapsulated in the beads rhodamine - 6G dye mimicking release of a real drug. The obtained results offer a new view on the problem of noise reduction for systems intended to be part of sense and treat medical devices.

  7. Design of Low-Noise Output Amplifiers for P-channel Charge-Coupled Devices Fabricated on High-Resistivity Silicon

    SciTech Connect (OSTI)

    Haque, S.; Frost, F. Dion R.; Groulx, R.; Holland, S.E.; Karcher, A.; Kolbe, W.F.; Roe, N. A.; Wang, G.; Yu, Y.

    2011-12-22

    We describe the design and optimization of low-noise, single-stage output amplifiers for p-channel charge-coupled devices (CCDs) used for scientific applications in astronomy and other fields. The CCDs are fabricated on high-resistivity, 40005000 -cm, n-type silicon substrates. Single-stage amplifiers with different output structure designs and technologies have been characterized. The standard output amplifier is designed with an n{sup +} polysilicon gate that has a metal connection to the sense node. In an effort to lower the output amplifier readout noise by minimizing the capacitance seen at the sense node, buried-contact technology has been investigated. In this case, the output transistor has a p{sup +} polysilicon gate that connects directly to the p{sup +} sense node. Output structures with buried-contact areas as small as 2 ?m 2 ?m are characterized. In addition, the geometry of the source-follower transistor was varied, and we report test results on the conversion gain and noise of the various amplifier structures. By use of buried-contact technology, better amplifier geometry, optimization of the amplifier biases and improvements in the test electronics design, we obtain a 45% reduction in noise, corresponding to 1.7 e{sup ?} rms at 70 kpixels/sec.

  8. Method and apparatus for improving resolution in spectrometers processing output steps from non-ideal signal sources

    DOE Patents [OSTI]

    Warburton, William K.; Momayezi, Michael

    2006-06-20

    A method and apparatus for processing step-like output signals (primary signals) generated by non-ideal, for example, nominally single-pole ("N-1P ") devices. An exemplary method includes creating a set of secondary signals by directing the primary signal along a plurality of signal paths to a signal summation point, summing the secondary signals reaching the signal summation point after propagating along the signal paths to provide a summed signal, performing a filtering or delaying operation in at least one of said signal paths so that the secondary signals reaching said summing point have a defined time correlation with respect to one another, applying a set of weighting coefficients to the secondary signals propagating along said signal paths, and performing a capturing operation after any filtering or delaying operations so as to provide a weighted signal sum value as a measure of the integrated area QgT of the input signal.

  9. Hybrid Energy System Modeling in Modelica

    SciTech Connect (OSTI)

    William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia

    2014-03-01

    In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.

  10. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To further satisfy KTI agreements RDTME 3.01 and 3.14 (Reamer and Williams 2001a) by providing the source documentation referred to in the KTI Letter Report, ''Effect of Forced Ventilation on Thermal-Hydrologic Conditions in the Engineered Barrier System and Near Field Environment'' (Williams 2002). Specifically to provide the results of the MULTIFLUX model which simulates the coupled processes of heat and mass transfer in and around waste emplacement drifts during periods of forced ventilation. This portion of the model report is presented as an Alternative Conceptual Model with a numerical application, and also provides corroborative results used for model validation purposes (Section 6.3 and 6.4).

  11. MICROCOMP output file

    National Nuclear Security Administration (NNSA)

    6-65-OCT. 5, 1999 NATIONAL DEFENSE AUTHORIZATION ACT FOR FISCAL YEAR 2000 VerDate 12-OCT-99 23:18 Oct 28, 1999 Jkt 079139 PO 00065 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL065.106 APPS24 PsN: APPS24 113 STAT. 512 PUBLIC LAW 106-65-OCT. 5, 1999 Public Law 106-65 106th Congress An Act To authorize appropriations for fiscal year 2000 for military activities of the Depart- ment of Defense, for military construction, and for defense activities of the Depart- ment of Energy, to prescribe personnel

  12. MICROCOMP output file

    Office of Environmental Management (EM)

    65-OCT. 5, 1999 NATIONAL DEFENSE AUTHORIZATION ACT FOR FISCAL YEAR 2000 VerDate 12-OCT-99 23:18 Oct 28, 1999 Jkt 079139 PO 00065 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL065.106 APPS24 PsN: APPS24 113 STAT. 512 PUBLIC LAW 106-65-OCT. 5, 1999 Public Law 106-65 106th Congress An Act To authorize appropriations for fiscal year 2000 for military activities of the Depart- ment of Defense, for military construction, and for defense activities of the Depart- ment of Energy, to prescribe personnel

  13. MICROCOMP output file

    Office of Environmental Management (EM)

    O:\END\EPAC300.lc (file 1 of 19) S.L.C. 109TH CONGRESS REPORT " ! HOUSE OF REPRESENTATIVES SENATE 1st Session 109- ENERGY POLICY ACT OF 2005 , 2005.-Ordered to be printed , from the committee of conference, submitted the following CONFERENCE REPORT [To accompany H.R. 6] The committee of conference on the disagreeing votes of the two Houses on the amendment of the Senate to the bill (H.R. 6), to en- sure jobs for our future with secure, affordable, and reliable energy, having met, after full

  14. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect (OSTI)

    Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk

    2013-12-01

    We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.

  15. JOBS Models: JOBS FC (Fuel Cells) and JOBS H2 (Hydrogen)

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

    Models JOBS FC (Fuel Cells) & JOBS H2 (Hydrogen) (Argonne National Laboratory) Objectives The JOBS and economic impacts of Fuel Cells (JOBS FC) and JOBS and economic impacts of Hydrogen (JOBS H2) models estimate employment, earnings and economic output from the manufacture, installation and use of select types of fuel cells and hydrogen infrastructure. Key Attributes & Strengths The two JOBS models use input-output methodology to estimate economic impacts associated with expenditures on

  16. VENTILATION MODEL REPORT

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-31

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their postclosure analyses.

  17. Integrated Environmental Control Model

    Energy Science and Technology Software Center (OSTI)

    1999-09-03

    IECM is a powerful multimedia engineering software program for simulating an integrated coal-fired power plant. It provides a capability to model various conventional and advanced processes for controlling air pollutant emissions from coal-fired power plants before, during, or after combustion. The principal purpose of the model is to calculate the performance, emissions, and cost of power plant configurations employing alternative environmental control methods. The model consists of various control technology modules, which may be integratedmore » into a complete utility plant in any desired combination. In contrast to conventional deterministic models, the IECM offers the unique capability to assign probabilistic values to all model input parameters, and to obtain probabilistic outputs in the form of cumulative distribution functions indicating the likelihood of dofferent costs and performance results. A Graphical Use Interface (GUI) facilitates the configuration of the technologies, entry of data, and retrieval of results.« less

  18. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  19. Closed-Form Solution for the Effect of Fuel Decay and Thermoelectric Degradation on Output of SiGe RTGs

    SciTech Connect (OSTI)

    Schock, Alfred

    1991-08-01

    Presented at the 26th IECEC in Boston, MA August 4-9, 1991. The paper derives a closed-form solution for the long-term effect of fuel decay and thermoelectric degradation on the performance of Radioisotope Thermoelectric Generators employing silicon-germanium converter elements. RTGs of this type were used to power the recent Galileo and Ulysses space exploration missions, and are slated for use on the upcoming CRAF and Cassini missions. The method described applies not only to uniform-temperature RTGs, but also to RTGs with significant axial and circumferential variations in the couples' cold-junction temperatures and voltages (due to unsymmetrically obstructed heat rejection paths). This is important for the mutually blocking RTGs on the CRAF and Cassini spacecraft, and even more so for the reflector-blocked Solar Probe RTGs. The method for predicting RTG degradation that is dervied in this paper is based on both analytical and experimental data. It accounts for the effect of diminishing hot-junction temperatures on thermoelectric degradation rates. The method leads to an integral equation, for which the author was able to derive a closed-form solution. The solution was successfully validated by comparison with long-term test data. It enables the RTG designer to predict the power output profile throughout the mission, to ensure that it satisfies the mission's power demand profile. There are four copies in the file.

  20. SciFri AM: Mountain 01: Validation of a new formulism and the related correction factors on output factor determination for small photon fields

    SciTech Connect (OSTI)

    Wang, Yizhen; Younge, Kelly; Nielsen, Michelle; Mutanga, Theodore; Cui, Congwu; Das, Indra J.

    2014-08-15

    Small field dosimetry measurements including output factors are difficult due to lack of charged-particle equilibrium, occlusion of the radiation source, the finite size of detectors, and non-water equivalence of detector components. With available detectors significant variations could be measured that will lead to incorrect delivered dose to patients. IAEA/AAPM have provided a framework and formulation to correct the detector response in small photon fields. Monte Carlo derived correction factors for some commonly used small field detectors are now available, however validation has not been performed prior to this study. An Exradin A16 chamber, EDGE detector and SFD detector were used to perform the output factor measurement for a series of conical fields (530mm) on a Varian iX linear accelerator. Discrepancies up to 20%, 10% and 6% were observed for 5, 7.5 and 10 mm cones between the initial output factors measured by the EDGE detector and the A16 ion chamber, while the discrepancies for the conical fields larger than 10 mm were less than 4%. After the application of the correction, the output factors agree well with each other to within 1%. Caution is needed when determining the output factors for small photon fields, especially for fields 10 mm in diameter or smaller. More than one type of detector should be used, each with proper corrections applied to the measurement results. It is concluded that with the application of correction factors to appropriately chosen detectors, output can be measured accurately for small fields.

  1. Monolithically interconnected GaAs solar cells: A new interconnection technology for high voltage solar cell output

    SciTech Connect (OSTI)

    Dinetta, L.C.; Hannon, M.H.

    1995-10-01

    Photovoltaic linear concentrator arrays can benefit from high performance solar cell technologies being developed at AstroPower. Specifically, these are the integration of thin GaAs solar cell and epitaxial lateral overgrowth technologies with the application of monolithically interconnected solar cell (MISC) techniques. This MISC array has several advantages which make it ideal for space concentrator systems. These are high system voltage, reliable low cost monolithically formed interconnections, design flexibility, costs that are independent of array voltage, and low power loss from shorts, opens, and impact damage. This concentrator solar cell will incorporate the benefits of light trapping by growing the device active layers over a low-cost, simple, PECVD deposited silicon/silicon dioxide Bragg reflector. The high voltage-low current output results in minimal 12R losses while properly designing the device allows for minimal shading and resistance losses. It is possible to obtain open circuit voltages as high as 67 volts/cm of solar cell length with existing technology. The projected power density for the high performance device is 5 kW/m for an AMO efficiency of 26% at 1 5X. Concentrator solar cell arrays are necessary to meet the power requirements of specific mission platforms and can supply high voltage power for electric propulsion systems. It is anticipated that the high efficiency, GaAs monolithically interconnected linear concentrator solar cell array will enjoy widespread application for space based solar power needs. Additional applications include remote man-portable or ultra-light unmanned air vehicle (UAV) power supplies where high power per area, high radiation hardness and a high bus voltage or low bus current are important. The monolithic approach has a number of inherent advantages, including reduced cost per interconnect and increased reliability of array connections. There is also a high potential for a large number of consumer products.

  2. Microsoft Word - S03623_2007AnnRep_091007.doc

    Office of Legacy Management (LM)

    H OU III Ground Water Model-Predicted Uranium Concentrations This page intentionally left blank Page H-3 Table H-1. Uranium Concentration Variation: Background Locations Observations Loc 92-01 Loc 92-03 Loc 92-05 Loc MW00-01 Loc MW00-02 Date Sampled Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) 11/12/1992 0.0058 0.0048 03/08/1993 0.0049 04/22/1993 0.0062 07/20/1993 0.0046 07/22/1993 0.0031 10/26/1993 0.0063 0.0053 10/27/1993 0.0028 05/02/1994 0.0053 0.0057 10/04/1994

  3. Microsoft Word - S06596_GW.doc

    Office of Legacy Management (LM)

    OU III Groundwater Model-Predicted Uranium Concentrations This page intentionally left blank Page G-1 Table G-1. Uranium Concentration Variation: Background Locations Observations Loc 92-01 Loc 92-03 Loc 92-05 Loc MW00-01 Loc MW00-02 Date Sampled Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) Uranium (mg/L) 11/12/1992 0.0058 0.0048 03/08/1993 0.0049 04/22/1993 0.0062 07/20/1993 0.0046 07/22/1993 0.0031 10/26/1993 0.0063 0.0053 10/27/1993 0.0028 05/02/1994 0.0053 0.0057 10/04/1994

  4. Model Documentation Report: Macroeconomic Activity Module of...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industry output. Both current and lagged output values enter in the employment specification, reflecting the tendency for hiring to lag output...

  5. World Climate Research Programme (WCRP) Coupled Model Intercomparison Project phase 3 (CMIP3): Multi-Model Dataset Archive at PCMDI (Program for Climate Model Diagnosis and Intercomparison)

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

    In response to a proposed activity of the WCRP's Working Group on Coupled Modelling (WGCM),PCMDI volunteered to collect model output contributed by leading modeling centers around the world. Climate model output from simulations of the past, present and future climate was collected by PCMDI mostly during the years 2005 and 2006, and this archived data constitutes phase 3 of the Coupled Model Intercomparison Project (CMIP3). In part, the WGCM organized this activity to enable those outside the major modeling centers to perform research of relevance to climate scientists preparing the Fourth Asssessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC was established by the World Meteorological Organization and the United Nations Environmental Program to assess scientific information on climate change. The IPCC publishes reports that summarize the state of the science. This unprecedented collection of recent model output is officially known as the WCRP CMIP3 multi-model dataset. It is meant to serve IPCC's Working Group 1, which focuses on the physical climate system - atmosphere, land surface, ocean and sea ice - and the choice of variables archived at the PCMDI reflects this focus. A more comprehensive set of output for a given model may be available from the modeling center that produced it. As of November 2007, over 35 terabytes of data were in the archive and over 303 terabytes of data had been downloaded among the more than 1200 registered users. Over 250 journal articles, based at least in part on the dataset, have been published or have been accepted for peer-reviewed publication. Countries from which models have been gathered include Australia, Canada, China, France, Germany and Korea, Italy, Japan, Norway, Russia, Great Britain and the United States. Models, variables, and documentation are collected and stored. Check http://www-pcmdi.llnl.gov/ipcc/data_status_tables.htm to see at a glance the output that is available. (Description taken from http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php)

  6. Relative output factor and beam profile measurements of small radiation fields with an L-alanine/K-Band EPR minidosimeter

    SciTech Connect (OSTI)

    Chen Abrego, Felipe; Calcina, Carmen Sandra Guzman; Almeida, Adelaide de; Almeida, Carlos Eduardo de; Baffa, Oswaldo

    2007-05-15

    The performance of an L-alanine dosimeter with millimeter dimensions was evaluated for dosimetry in small radiation fields. Relative output factor (ROF) measurements were made for 0.5x0.5, 1x1, 3x3, 5x5, 10x10 cm{sup 2} square fields and for 5-, 10-, 20-, 40-mm-diam circular fields. In beam profile (BP) measurements, only 1x1, 3x3, 5x5 cm{sup 2} square fields and 10-, 20-, 40-mm-diam circular fields were used. For square and circular field irradiations, Varian/Clinac 2100, and a Siemens/Mevatron 6 MV linear accelerators were used, respectively. For a batch of 800 L-alanine minidosimeters (miniALAs) the average mass was 4.3{+-}0.5 (1{sigma}) mg, the diameter was 1.22{+-}0.07 (1{sigma}) mm, and the length was 3.5{+-}0.2 (1{sigma}) mm. A K-Band (24 GHz) electron paramagnetic resonance (EPR) spectrometer was used for recording the spectrum of irradiated and nonirradiated miniALAs. To evaluate the performance of the miniALAs, their ROF and BP results were compared with those of other types of detectors, such as an ionization chamber (PTW 0.125 cc), a miniTLD (LiF: Mg,Cu,P), and Kodak/X-Omat V radiographic film. Compared to other dosimeters, the ROF results for miniALA show differences of up to 3% for the smallest fields and 7% for the largest ones. These differences were within the miniALA experimental uncertainty ({approx}5-6% at 1{sigma}). For BP measurements, the maximum penumbra width difference observed between miniALA and film (10%-90% width) was less than 1 mm for square fields and within 1-2 mm for circular fields. These penumbra width results indicate that the spatial resolution of the miniALA is comparable to that of radiographic film and its dimensions are adequate for the field sizes used in this experiment. The K-Band EPR spectrometer provided adequate sensitivity for assessment of miniALAs with doses of the order of tens of Grays, making this dosimetry system (K-Band/miniALA) a potential candidate for use in radiosurgery dosimetry.

  7. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  8. BTO Publishes Two Important Building Energy Modeling Documents

    Broader source: Energy.gov [DOE]

    This week, BTO published two important and related documents regarding its Building Energy Modeling (BEM) program. The first is the final revision of the BTO multi-year program plan (MYPP). In conjunction with the MYPP, BTO also published a set of program logic models that trace BTO activities to outputs and market outcomes.

  9. Dynamic Analysis of Electrical Power Grid Delivery: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer

    2011-10-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  10. Synchronous motor with soft start element formed between the motor rotor and motor output shaft to successfully synchronize loads that have high inertia and/or high torque

    DOE Patents [OSTI]

    Umans, Stephen D; Nisley, Donald L; Melfi, Michael J

    2014-10-28

    A line-start synchronous motor has a housing, a rotor shaft, and an output shaft. A soft-start coupling portion is operatively coupled to the output shaft and the rotor shaft. The soft-start coupling portion is configurable to enable the synchronous motor to obtain synchronous operation and to drive, at least near synchronous speed during normal steady state operation of the motor, a load having characteristics sufficient to prevent obtaining normal synchronous operation of the motor when the motor is operatively connected to the load in the absence of the soft-start coupling. The synchronous motor is sufficiently rated to obtain synchronous operation and to drive, at least near synchronous speed during normal steady state operation of the motor, a load having characteristics sufficient to prevent obtaining normal synchronous operation of the motor when the motor is operatively connected to the load in the absence of the soft-start coupling.

  11. Magnetic field-induced phase transformation in NiMnCoIn magnetic shape memory alloys - a new actuation mechanism with large work output.

    SciTech Connect (OSTI)

    Karaca, H. E.; Karaman, I.; Basaran, B.; Ren, Y.; Chumlyakov, Y. I.; Maier, H. J.; X-Ray Science Division; Texsas A&M Univ.; Univ. of Kentucky; Siberian Physical-Technical Inst.; Univ. of Paderborn

    2009-04-09

    Magnetic shape memory alloys (MSMAs) have recently been developed into a new class of functional materials that are capable of magnetic-field-induced actuation, mechanical sensing, magnetic refrigeration, and energy harvesting. In the present work, the magnetic field-induced martensitic phase transformation (FIPT) in Ni{sub 45}Mn{sub 36.5}Co{sub 5}In{sub 13.5} MSMA single crystals is characterized as a new actuation mechanism with potential to result in ultra-high actuation work outputs. The effects of the applied magnetic field on the transformation temperatures, magnetization, and superelastic response are investigated. The magnetic work output of NiMnCoIn alloys is determined to be more than 1 MJ m{sup -3} per Tesla, which is one order of magnitude higher than that of the most well-known MSMAs, i.e., NiMnGa alloys. In addition, the work output of NiMnCoIn alloys is orientation independent, potentially surpassing the need for single crystals, and not limited by a saturation magnetic field, as opposed to NiMnGa MSMAs. Experimental and theoretical transformation strains and magnetostress levels are determined as a function of crystal orientation. It is found that [111]-oriented crystals can demonstrate a magnetostress level of 140 MPa T{sup -1} with 1.2% axial strain under compression. These field-induced stress and strain levels are significantly higher than those from existing piezoelectric and magnetostrictive actuators. A thermodynamical framework is introduced to comprehend the magnetic energy contributions during FIPT. The present work reveals that the magnetic FIPT mechanism is promising for magnetic actuation applications and provides new opportunities for applications requiring high actuation work-outputs with relatively large actuation frequencies. One potential issue is the requirement for relatively high critical magnetic fields and field intervals (1.5-3 T) for the onset of FIPT and for reversible FIPT, respectively.

  12. The Influence of Building Location on Combined Heat and Power/ Hydrogen (Tri-Generation) System Cost, Hydrogen Output and Efficiency (Presentation)

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

    National Hydrogen Association Meeting Darlene M. Steward Mike Penev National Renewable Energy Laboratory Columbia, SC March 30 - April 3, 2009 NREL/PR-560-45628 The Influence of Building Location on Combined Heat and Power/ Hydrogen (Tri-Generation) System Cost, Hydrogen Output and Efficiency This presentation does not contain any proprietary, confidential, or otherwise restricted information National Renewable Energy Laboratory Innovation for Our Energy Future Acknowledgements Development of

  13. Process modeling and industrial energy use

    SciTech Connect (OSTI)

    Howe, S O; Pilati, D A; Sparrow, F T

    1980-11-01

    How the process models developed at BNL are used to analyze industrial energy use is described and illustrated. Following a brief overview of the industry modeling program, the general methodology of process modeling is discussed. The discussion highlights the important concepts, contents, inputs, and outputs of a typical process model. A model of the US pulp and paper industry is then discussed as a specific application of process modeling methodology. Case study results from the pulp and paper model illustrate how process models can be used to analyze a variety of issues. Applications addressed with the case study results include projections of energy demand, conservation technology assessment, energy-related tax policies, and sensitivity analysis. A subsequent discussion of these results supports the conclusion that industry process models are versatile and powerful tools for energy end-use modeling and conservation analysis. Information on the current status of industry models at BNL is tabulated.

  14. Microsoft Word - Updated Air Dispersion Modeling Table _sulfur_.doc

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

    DIVINE STRAKE AIR DISPERSION MODELING RESULTS for SULFUR DIOXIDE The attached table is updated to include estimated sulfur dioxide concentrations resulting from the Divine Strake Experiment. Output from the POLU4WN model was used to estimate quantities of all emissions from the proposed explosive experiment. All emissions of oxides of sulfur were combined to provide input into Open Burn/Open Detonation Model (OBODM) to model the dispersion; thus overestimating the concentration of sulfur dioxide

  15. Model-free adaptive control of supercritical circulating fluidized-bed boilers

    DOE Patents [OSTI]

    Cheng, George Shu-Xing; Mulkey, Steven L

    2014-12-16

    A novel 3-Input-3-Output (3.times.3) Fuel-Air Ratio Model-Free Adaptive (MFA) controller is introduced, which can effectively control key process variables including Bed Temperature, Excess O2, and Furnace Negative Pressure of combustion processes of advanced boilers. A novel 7-input-7-output (7.times.7) MFA control system is also described for controlling a combined 3-Input-3-Output (3.times.3) process of Boiler-Turbine-Generator (BTG) units and a 5.times.5 CFB combustion process of advanced boilers. Those boilers include Circulating Fluidized-Bed (CFB) Boilers and Once-Through Supercritical Circulating Fluidized-Bed (OTSC CFB) Boilers.

  16. Lithium-Ion Ultracapacitors integrated with Wind Turbines Power Conversion Systems to Extend Operating Life and Improve Output Power Quality

    SciTech Connect (OSTI)

    Adel Nasiri

    2012-05-23

    In this project we designed and modeled a system for a full conversion wind turbine and built a scaled down model which utilizes Lithium-Ion Capacitors on the DC bus. One of the objectives is to reduce the mechanical stress on the gearbox and drivetrain of the wind turbine by adjusting the torque on generator side according to incoming wind power. Another objective is to provide short-term support for wind energy to be more ???¢????????grid friendly???¢??????? in order to ultimately increase wind energy penetration. These supports include power smoothing, power ramp rate limitation, low voltage ride through, and frequency (inertia) support. This research shows how energy storage in small scale and in an economical fashion can make a significant impact on performance of wind turbines. Gearbox and drivetrain premature failures are among high cost maintenance items for wind turbines. Since the capacitors are directly applied on the turbine DC bus and their integration does not require addition hardware, the cost of the additional system can be reasonable for the wind turbine manufacturers and utility companies.

  17. Ventilation Model Report

    SciTech Connect (OSTI)

    V. Chipman; J. Case

    2002-12-20

    The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post-closure thermal models (Section 6.6). (3) To satisfy the remainder of KTI agreement TEF 2.07 (Reamer and Williams 2001b). Specifically to provide the results of post-test ANSYS modeling of the Atlas Facility forced convection tests (Section 7.1.2). This portion of the model report also serves as a validation exercise per AP-SIII.10Q, Models, for the ANSYS ventilation model. (4) To asses the impacts of moisture on the ventilation efficiency.

  18. NREL: Jobs and Economic Development Impact (JEDI) Models - Interpreting

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

    Results Interpreting Results Sample Results from JEDI. Download a text-version (MS Excel 44 KB) The Jobs and Economic Development Impact (JEDI) models estimate the number of jobs and economic impacts associated with power generation, fuel production, and other projects. Economic activity in input-output models is typically assessed in three categories. NREL's JEDI models classify the first category of results-on-site labor and professional services results-as dollars spent on labor from

  19. Sequentially Executed Model Evaluation Framework

    SciTech Connect (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, such as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed

  20. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, suchmore » as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed« less

  1. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  2. Macroeconomic Activity Module of the National Energy Modeling...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industry output. Both current and lagged output values enter in the employment specification, reflecting the tendency for hiring to lag output...

  3. Site-Scale Saturated Zone Flow Model

    SciTech Connect (OSTI)

    G. Zyvoloski

    2003-12-17

    The purpose of this model report is to document the components of the site-scale saturated-zone flow model at Yucca Mountain, Nevada, in accordance with administrative procedure (AP)-SIII.lOQ, ''Models''. This report provides validation and confidence in the flow model that was developed for site recommendation (SR) and will be used to provide flow fields in support of the Total Systems Performance Assessment (TSPA) for the License Application. The output from this report provides the flow model used in the ''Site-Scale Saturated Zone Transport'', MDL-NBS-HS-000010 Rev 01 (BSC 2003 [162419]). The Site-Scale Saturated Zone Transport model then provides output to the SZ Transport Abstraction Model (BSC 2003 [164870]). In particular, the output from the SZ site-scale flow model is used to simulate the groundwater flow pathways and radionuclide transport to the accessible environment for use in the TSPA calculations. Since the development and calibration of the saturated-zone flow model, more data have been gathered for use in model validation and confidence building, including new water-level data from Nye County wells, single- and multiple-well hydraulic testing data, and new hydrochemistry data. In addition, a new hydrogeologic framework model (HFM), which incorporates Nye County wells lithology, also provides geologic data for corroboration and confidence in the flow model. The intended use of this work is to provide a flow model that generates flow fields to simulate radionuclide transport in saturated porous rock and alluvium under natural or forced gradient flow conditions. The flow model simulations are completed using the three-dimensional (3-D), finite-element, flow, heat, and transport computer code, FEHM Version (V) 2.20 (software tracking number (STN): 10086-2.20-00; LANL 2003 [161725]). Concurrently, process-level transport model and methodology for calculating radionuclide transport in the saturated zone at Yucca Mountain using FEHM V 2.20 are being carried out in the model report, ''Site-Scale Saturated Zone Transport'', MDL-NBS-HS-000010 Rev 01 (BSC 2003 [162419]). The velocity fields are calculated by the flow model, described herein, independent of the transport processes, and are then used as inputs to the transport model. Justification for this abstraction is presented in the model report, ''Saturated Zone Flow and Transport Model Abstraction'', MDL-NBS-HS-000021 (BSC 2003 [164870]).

  4. Generalized Environment for Modeling Systems

    Energy Science and Technology Software Center (OSTI)

    2012-02-07

    GEMS is an integrated environment that allows technical analysts, modelers, researchers, etc. to integrate and deploy models and/or decision tools with associated data to the internet for direct use by customers. GEMS does not require that the model developer know how to code or script and therefore delivers this capability to a large group of technical specialists. Customers gain the benefit of being able to execute their own scenarios directly without need for technical support.more » GEMS is a process that leverages commercial software products with specialized codes that add connectivity and unique functions to support the overall capability. Users integrate pre-existing models with a commercial product and store parameters and input trajectories in a companion commercial database. The model is then exposed into a commercial web environment and a graphical user interface (GUI) is applied by the model developer. Users execute the model through the web based GUI and GEMS manages supply of proper inputs, execution of models, routing of data to models and display of results back to users. GEMS works in layers, the following description is from the bottom up. Modelers create models in the modeling tool of their choice such as Excel, Matlab, or Fortran. They can also use models from a library of previously wrapped legacy codes (models). Modelers integrate the models (or a single model) by wrapping and connecting the models using the Phoenix Integration tool entitled ModelCenter. Using a ModelCenter/SAS plugin (DOE copyright CW-10-08) the modeler gets data from either an SAS or SQL database and sends results back to SAS or SQL. Once the model is working properly, the ModelCenter file is saved and stored in a folder location to which a SharePoint server tool created at INL is pointed. This enables the ModelCenter model to be run from SharePoint. The modeler then goes into Microsoft SharePoint and creates a graphical user interface (GUI) using the ModelCenter WebPart (CW-12-04) created at INL to work inside SharePoint. The GUI tool links slider bars and drop downs to specific inputs and output of the ModelCenter model that is executable from SharePoint. The modeler also creates in SAS, dashboards, graphs and tables that are exposed by links and SAS and ModelCenter Web Parts into the SharePoint system. The user can then log into SharePoint, move slider bars and select drop down lists to configure the model parameters, click to run the model, and then view the output results that are based on their particular input choices. The main point is that GEMS eliminates the need for a programmer to connect and create the web artifacts necessary to implement and deliver an executable model or decision aid to customers.« less

  5. System level modeling of thermoelectric generators for automotive applications

    Broader source: Energy.gov [DOE]

    Uses a model to predict and analyze the system-level performance of a thermoelectric generator in terms of the power output and the power density ? at the element, module and system-level and for a wide range of operating conditions.

  6. MULTISCALE THERMOHYDROLOGIC MODEL

    SciTech Connect (OSTI)

    T. Buscheck

    2005-07-07

    The intended purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. The goal of the MSTHM is to predict a reasonable range of possible thermal-hydrologic conditions within the emplacement drift. To be reasonable, this range includes the influence of waste-package-to-waste-package heat output variability relevant to the license application design, as well as the influence of uncertainty and variability in the geologic and hydrologic conditions relevant to predicting the thermal-hydrologic response in emplacement drifts. This goal is quite different from the goal of a model to predict a single expected thermal-hydrologic response. As a result, the development and validation of the MSTHM and the associated analyses using this model are focused on the goal of predicting a reasonable range of thermal-hydrologic conditions resulting from parametric uncertainty and waste-package-to-waste-package heat-output variability. Thermal-hydrologic conditions within emplacement drifts depend primarily on thermal-hydrologic conditions in the host rock at the drift wall and on the temperature difference between the drift wall and the drip-shield and waste-package surfaces. Thus, the ability to predict a reasonable range of relevant in-drift MSTHM output parameters (e.g., temperature and relative humidity) is based on valid predictions of thermal-hydrologic processes in the host rock, as well as valid predictions of heat-transfer processes between the drift wall and the drip-shield and waste-package surfaces. Because the invert contains crushed gravel derived from the host rock, the invert is, in effect, an extension of the host rock, with thermal and hydrologic properties that have been modified by virtue of the crushing (and the resulting geometry of the gravel grains). Thus, given that reasonable invert properties are applied, the ability to predict a reasonable range of relevant MSTHM output parameters for the invert are based on valid predictions of thermal-hydrologic processes in the host rock. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes. The thermal-hydrologic parameters used to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' are identified in Table 1-1. The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock.

  7. SU-E-T-364: 6X FFF and 10X FFF Portal Dosimetry Output Factor Verification: Application for SRS/SBRT

    SciTech Connect (OSTI)

    Gulam, M; Bellon, M; Gopal, A; Wen, N; Chetty, I; Gordon, J; Hames, S; Schmidt, M

    2014-06-01

    Purpose: To enhance portal dosimetry of high dose rate SRS/SBRT plan verifications with extensive imager measurement of output factors (OF). Methods: Electronic portal image dosimetry (EPID), implemented on the Varian Edge allows for acquisition of its two energies: 6X FFF and 10 FFF (1400 and 2400 MU/min, respectively) at source to imager distance (SID) =100cm without imager saturation. Square and rectangular aSi OF following EPID calibration were obtained. Data taken was similar to that obtained during beam commissioning (of almost all field sizes from 11 to 1515 and 2020 cm{sup 2}, [Trilogy] and [Edge], respectively) to construct a table using the OF tool for use in the Portal Dosimetry Prediction Algorithm (PDIP v11). The Trilogy 6x SRS 1000 MU/min EPID data were taken at 140 SID. The large number of OF were obtained for comparison to that obtained with diode detectors and ion chambers (cc13 for >33 field size). As Edge PDIP verification is currently ongoing, EPID measurements of three SRS/SBRT plans for the Trilogy were taken and compared to results obtained prior to these measurements. Results: The relative difference output factors of field sizes 22 and higher compared to commissioning data were (mean+/-SD, [range]): Edge 6X (?1.9+/?2.9%, [?5.9%,3.1%]), Edge 10X (?0.7+/?1.2%, [? 3.3%,0.8%] and Trilogy (0.03+/?0.5%, [?1.4%,1.1%]) with EPID over predicting. The results for the 140 SID showed excellent agreement throughout except at the 11 to 115 and 151 field sizes where differences were: ?10.6%, ?6.0% and ?5.8%. The differences were also most pronounced for the 11 at 100 SID. They were ?7.4% and ?11.5% for 6X and 10X, respectively. The Gamma (3%, 1mm) for three clinical plans improved by 8.7+/?1.8%. Conclusion: Results indicate that imager output factor measurements at any SID of high dose rate SRS/SBRT are quite reliable for portal dosimetry plan verification except for the smallest fields. This work was not funded by Varian Oncology Systems. Some authors have other work partly funded by Varian Oncology Systems.

  8. Wind energy conversion system analysis model (WECSAM) computer program documentation

    SciTech Connect (OSTI)

    Downey, W T; Hendrick, P L

    1982-07-01

    Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)

  9. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

    The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

  10. Method for enhancing low frequency output of impulsive type seismic energy sources and its application to a seismic energy source for use while drilling

    DOE Patents [OSTI]

    Radtke, Robert P; Stokes, Robert H; Glowka, David A

    2014-12-02

    A method for operating an impulsive type seismic energy source in a firing sequence having at least two actuations for each seismic impulse to be generated by the source. The actuations have a time delay between them related to a selected energy frequency peak of the source output. One example of the method is used for generating seismic signals in a wellbore and includes discharging electric current through a spark gap disposed in the wellbore in at least one firing sequence. The sequence includes at least two actuations of the spark gap separated by an amount of time selected to cause acoustic energy resulting from the actuations to have peak amplitude at a selected frequency.

  11. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, K.L.; Baum, C.C.; Jones, R.D.

    1997-08-19

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.

  12. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)

    1997-01-01

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.

  13. Neural node network and model, and method of teaching same

    DOE Patents [OSTI]

    Parlos, Alexander G. (College Station, TX); Atiya, Amir F. (College Station, TX); Fernandez, Benito (Austin, TX); Tsai, Wei K. (Irvine, CA); Chong, Kil T. (College Station, TX)

    1995-01-01

    The present invention is a fully connected feed forward network that includes at least one hidden layer 16. The hidden layer 16 includes nodes 20 in which the output of the node is fed back to that node as an input with a unit delay produced by a delay device 24 occurring in the feedback path 22 (local feedback). Each node within each layer also receives a delayed output (crosstalk) produced by a delay unit 36 from all the other nodes within the same layer 16. The node performs a transfer function operation based on the inputs from the previous layer and the delayed outputs. The network can be implemented as analog or digital or within a general purpose processor. Two teaching methods can be used: (1) back propagation of weight calculation that includes the local feedback and the crosstalk or (2) more preferably a feed forward gradient decent which immediately follows the output computations and which also includes the local feedback and the crosstalk. Subsequent to the gradient propagation, the weights can be normalized, thereby preventing convergence to a local optimum. Education of the network can be incremental both on and off-line. An educated network is suitable for modeling and controlling dynamic nonlinear systems and time series systems and predicting the outputs as well as hidden states and parameters. The educated network can also be further educated during on-line processing.

  14. Neural node network and model, and method of teaching same

    DOE Patents [OSTI]

    Parlos, A.G.; Atiya, A.F.; Fernandez, B.; Tsai, W.K.; Chong, K.T.

    1995-12-26

    The present invention is a fully connected feed forward network that includes at least one hidden layer. The hidden layer includes nodes in which the output of the node is fed back to that node as an input with a unit delay produced by a delay device occurring in the feedback path (local feedback). Each node within each layer also receives a delayed output (crosstalk) produced by a delay unit from all the other nodes within the same layer. The node performs a transfer function operation based on the inputs from the previous layer and the delayed outputs. The network can be implemented as analog or digital or within a general purpose processor. Two teaching methods can be used: (1) back propagation of weight calculation that includes the local feedback and the crosstalk or (2) more preferably a feed forward gradient decent which immediately follows the output computations and which also includes the local feedback and the crosstalk. Subsequent to the gradient propagation, the weights can be normalized, thereby preventing convergence to a local optimum. Education of the network can be incremental both on and off-line. An educated network is suitable for modeling and controlling dynamic nonlinear systems and time series systems and predicting the outputs as well as hidden states and parameters. The educated network can also be further educated during on-line processing. 21 figs.

  15. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  16. Statistical modeling support for calibration of a multiphysics model of subcooled boiling flows

    SciTech Connect (OSTI)

    Bui, A. V.; Dinh, N. T.; Nourgaliev, R. R.; Williams, B. J.

    2013-07-01

    Nuclear reactor system analyses rely on multiple complex models which describe the physics of reactor neutronics, thermal hydraulics, structural mechanics, coolant physico-chemistry, etc. Such coupled multiphysics models require extensive calibration and validation before they can be used in practical system safety study and/or design/technology optimization. This paper presents an application of statistical modeling and Bayesian inference in calibrating an example multiphysics model of subcooled boiling flows which is widely used in reactor thermal hydraulic analysis. The presence of complex coupling of physics in such a model together with the large number of model inputs, parameters and multidimensional outputs poses significant challenge to the model calibration method. However, the method proposed in this work is shown to be able to overcome these difficulties while allowing data (observation) uncertainty and model inadequacy to be taken into consideration. (authors)

  17. Systems Modeling

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

    ... Model Nambe Pueblo Water Budget Model Hydrogen Futures Simulations Model Barton Springs ... & Analysis Project Algae Biofuels Techno-Economic Modeling and Analysis Project Climate ...

  18. Which Models Matter: Uncertainty and Sensitivity Analysis for

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

    Models Matter: Uncertainty and Sensitivity Analysis for Photovoltaic Power Systems Clifford W. Hansen and Andrew Pohl Sandia National Laboratories, Albuquerque, NM, 87185-1033, USA Abstract - Predicting power for a photovoltaic system from measured irradiance requires a sequence of models, e.g.: translation of measured irradiance to the plane-of-array; estimation of cell temperature; and calculation of module electrical output. Uncertainty in predicted power arises from the aggregate uncertainty

  19. NREL: Jobs and Economic Development Impact (JEDI) Models - Advanced Users

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

    Advanced Users The Jobs and Economic Development Impact (JEDI) models are an input-output based model designed to provide estimates for project impacts. Due to the many variables involved with developing and analyzing projects of this type, these impact estimates are not intended to be viewed as exact impacts, but rather as reasonable estimates given the available data. To the extent users can use the detailed, local cost data and local share values, the results will be more specific to the

  20. Beyond standard model calculations with Sherpa

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Höche, Stefan; Kuttimalai, Silvan; Schumann, Steffen; Siegert, Frank

    2015-03-24

    We present a fully automated framework as part of the Sherpa event generator for the computation of tree-level cross sections in beyond Standard Model scenarios, making use of model information given in the Universal FeynRules Output format. Elementary vertices are implemented into C++ code automatically and provided to the matrix-element generator Comix at runtime. Widths and branching ratios for unstable particles are computed from the same building blocks. The corresponding decays are simulated with spin correlations. Parton showers, QED radiation and hadronization are added by Sherpa, providing a full simulation of arbitrary BSM processes at the hadron level.

  1. Modeling patterns in data using linear and related models

    SciTech Connect (OSTI)

    Engelhardt, M.E.

    1996-06-01

    This report considers the use of linear models for analyzing data related to reliability and safety issues of the type usually associated with nuclear power plants. The report discusses some of the general results of linear regression analysis, such as the model assumptions and properties of the estimators of the parameters. The results are motivated with examples of operational data. Results about the important case of a linear regression model with one covariate are covered in detail. This case includes analysis of time trends. The analysis is applied with two different sets of time trend data. Diagnostic procedures and tests for the adequacy of the model are discussed. Some related methods such as weighted regression and nonlinear models are also considered. A discussion of the general linear model is also included. Appendix A gives some basic SAS programs and outputs for some of the analyses discussed in the body of the report. Appendix B is a review of some of the matrix theoretic results which are useful in the development of linear models.

  2. THE LOS ALAMOS NATIONAL LABORATORY ATMOSPHERIC TRANSPORT AND DIFFUSION MODELS

    SciTech Connect (OSTI)

    M. WILLIAMS

    1999-08-01

    The LANL atmospheric transport and diffusion models are composed of two state-of-the-art computer codes. The first is an atmospheric wind model called HOThlAC, Higher Order Turbulence Model for Atmospheric circulations. HOTMAC generates wind and turbulence fields by solving a set of atmospheric dynamic equations. The second is an atmospheric diffusion model called RAPTAD, Random Particle Transport And Diffusion. RAPTAD uses the wind and turbulence output from HOTMAC to compute particle trajectories and concentration at any location downwind from a source. Both of these models, originally developed as research codes on supercomputers, have been modified to run on microcomputers. Because the capability of microcomputers is advancing so rapidly, the expectation is that they will eventually become as good as today's supercomputers. Now both models are run on desktop or deskside computers, such as an IBM PC/AT with an Opus Pm 350-32 bit coprocessor board and a SUN workstation. Codes have also been modified so that high level graphics, NCAR Graphics, of the output from both models are displayed on the desktop computer monitors and plotted on a laser printer. Two programs, HOTPLT and RAPLOT, produce wind vector plots of the output from HOTMAC and particle trajectory plots of the output from RAPTAD, respectively. A third CONPLT provides concentration contour plots. Section II describes step-by-step operational procedures, specifically for a SUN-4 desk side computer, on how to run main programs HOTMAC and RAPTAD, and graphics programs to display the results. Governing equations, boundary conditions and initial values of HOTMAC and RAPTAD are discussed in Section III. Finite-difference representations of the governing equations, numerical solution procedures, and a grid system are given in Section IV.

  3. Reference Manual for the System Advisor Model's Wind Power Performance Model

    SciTech Connect (OSTI)

    Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

    2014-08-01

    This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

  4. Measurements and modeling of total solar irradiance in X-class solar flares

    SciTech Connect (OSTI)

    Moore, Christopher Samuel; Chamberlin, Phillip Clyde; Hock, Rachel

    2014-05-20

    The Total Irradiance Monitor (TIM) from NASA's SOlar Radiation and Climate Experiment can detect changes in the total solar irradiance (TSI) to a precision of 2 ppm, allowing observations of variations due to the largest X-class solar flares for the first time. Presented here is a robust algorithm for determining the radiative output in the TIM TSI measurements, in both the impulsive and gradual phases, for the four solar flares presented in Woods et al., as well as an additional flare measured on 2006 December 6. The radiative outputs for both phases of these five flares are then compared to the vacuum ultraviolet (VUV) irradiance output from the Flare Irradiance Spectral Model (FISM) in order to derive an empirical relationship between the FISM VUV model and the TIM TSI data output to estimate the TSI radiative output for eight other X-class flares. This model provides the basis for the bolometric energy estimates for the solar flares analyzed in the Emslie et al. study.

  5. Design Modifications for Increasing the BOM and EOM Power Output and Reducing the Size and Mass of RTG for the Pluto Mission

    SciTech Connect (OSTI)

    Schock, Alfred; Or, Chuen T; Kumar, Vasanth

    1994-06-01

    A companion paper analyzed the effect on source modules for three specific fuel options, and compared the predicted power output with JPL's latest goals for the Pluto Fast Flyby (PFF) mission. The results showed that a 5-module RTG cannot fully meet JPL's goals with any of the available fuels; and that a 6-module RTG more than meets those goals with Russian fuel, almost meets them with U.S. (Cassini-type) fuel, but still falls far short of meeting them with the depleted fuel from the aged (1982) Galileo spare RTG. The inadequacy of the aged fuel was disappointing,because heat source modules made from it already exist, and their use in PFF could result in substantial cost savings. The present paper describes additional analyses which showed that a six-module RTG with the aged fuel can meet JPL's stipulated power margin with a relatively simple design modification, that a second design modification makes it possible to recover all of the mass and size penalty for going from five to six heat source modules, and that a third modification could raise the EOM power margin to 16%. There are four copies in the file. Cross Reference ESD Files FSC-ESD-217-94-531 (CID #8572)

  6. Design Modifications for Increasing the BOm and EOM Power Output and Reducing the Size and Mass of RTG for the Pluto Mission

    SciTech Connect (OSTI)

    Schock, Alfred; Or, Chuen T; Kumar, Vasanth

    1994-08-01

    Paper presented at the 29th IECEC in Monterey, CA in August 1994. A companion paper analyzed the effect on source modules for three specific fuel options, and compared the predicted power output with JPL's latest goals for the Pluto Fast Flyby (PFF) mission. The results showed that a 5-module RTG cannot fully meet JPL's goals with any of the available fuels; and that a 6-module RTG more than meets those goals with Russian fuel, almost meets them with U.S. (Cassini-type) fuel, but still falls far short of meeting them with the depleted fuel from the aged (1982) Galileo spare RTG. The inadequacy of the aged fuel was disappointing,because heat source modules made from it already exist, and their use in PFF could result in substantial cost savings. The present paper describes additional analyses which showed that a six-module RTG with the aged fuel can meet JPL's stipulated power margin with a relatively simple design modification, that a second design modification makes it possible to recover all of the mass and size penalty for going from five to six heat source modules, and that a third modification could raise the EOM power margin to 16%.

  7. Evaluating a model of anaerobic digestion of organic wastes through system identification

    SciTech Connect (OSTI)

    Anex, R.P.; Kiely, G.

    1999-07-01

    Anaerobic digestion of the organic fraction of municipal solid waste (MSW), on its own or co-digested with primary sewage sludge (PSS), produces high quality biogas, suitable as renewable energy. Parameter estimation and evaluation of a two-stage mathematical model of the anaerobic co-digestion of the organic fraction of MSW and PSS are described. Measured data are from a bench scale laboratory experiment using a continuously stirred tank reactor and operated at 36 C for 115 days. The two-stage model simulates acidogenesis and methanogenesis, including ammonia inhibition. Model parameters are estimated using an output error, Levenberg-Marquardt (LM) algorithm. Sensitivity of the estimated parameter values and the model outputs to non-estimated model parameters and measurement errors are evaluated. The estimated mathematical model successfully predicts the performance of the anaerobic reactor. Sensitivity results provide guidance for improving the model structure and experimental procedures.

  8. Method and allocation device for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a packet switching device in successive time slots

    DOE Patents [OSTI]

    Abel, Francois (Rueschlikon, CH); Iliadis, Ilias (Rueschlikon, CH); Minkenberg, Cyriel J. A. (Adliswil, CH)

    2009-02-03

    A method for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a switching system in successive time slots, including a matching method including the steps of providing a first request information in a first time slot indicating data packets at the inputs requesting transmission to the outputs of the switching system, performing a first step in the first time slot depending on the first request information to obtain a first matching information, providing a last request information in a last time slot successive to the first time slot, performing a last step in the last time slot depending on the last request information and depending on the first matching information to obtain a final matching information, and assigning the pending data packets at the number of inputs to the number of outputs based on the final matching information.

  9. Evaluation of PV performance models and their impact on project risk.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Hansen, Clifford W.; Cameron, Christopher P.

    2010-12-01

    Photovoltaic systems are often priced in $/W{sub p}, where Wp refers to the DC power rating of the modules at Standard Test Conditions (1000 W/m{sup 2}, 25 C cell temperature) and $ refers to the installed cost of the system. However, the true value of the system is in the energy it will produce in kWhs, not the power rating. System energy production is a function of the system design and location, the mounting configuration, the power conversion system, and the module technology, as well as the solar resource. Even if all other variables are held constant, the annual energy yield (kWh/kW{sup p}) will vary among module technologies because of differences in response to low-light levels and temperature. Understanding energy yield is a key part of understanding system value. System performance models are used during project development to estimate the expected output of PV systems for a given design and location. Performance modeling is normally done by the system designer/system integrator. Often, an independent engineer will also model system output during a due diligence review of a project. A variety of system performance models are available. The most commonly used modeling tool for project development and due diligence in the United States is probably PVsyst, while those seeking a quick answer to expected energy production may use PVWatts. In this paper, we examine the variation in predicted energy output among modeling tools and users and compare that to measured output.

  10. The Oak Ridge Competitive Electricity Dispatch (ORCED) Model

    SciTech Connect (OSTI)

    Hadley, Stanton W

    2008-06-01

    The Oak Ridge Competitive electricity Dispatch (ORCED) model has been used for multiple analyses of the impacts of different technologies and policies on the electricity grid. The model was developed over ten years ago and has been greatly enhanced since the initial documentation from June 1998 (ORNL/CON-464). The report gives guidance on the workflow and methodologies used, but does not provide a complete user's manual detailing steps necessary to operate the model. It lists the major resources used, shows the main inputs and outputs of the model, and describes how it can be used for a variety of analyses.

  11. New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants |

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

    Department of Energy Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help developers more readily estimate the economic benefits of offshore wind plants, the U.S. Department of Energy (DOE) recently released a new version of the Jobs and Economic Development Impact (JEDI) input-output modeling tool. The original tool was developed by the National Renewable Energy

  12. A predictive ocean oil spill model

    SciTech Connect (OSTI)

    Sanderson, J.; Barnette, D.; Papodopoulos, P.; Schaudt, K.; Szabo, D.

    1996-07-01

    This is the final report of a two-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). Initially, the project focused on creating an ocean oil spill model and working with the major oil companies to compare their data with the Los Alamos global ocean model. As a result of this initial effort, Los Alamos worked closely with the Eddy Joint Industry Project (EJIP), a consortium oil and gas producing companies in the US. The central theme of the project was to use output produced from LANL`s global ocean model to look in detail at ocean currents in selected geographic areas of the world of interest to consortium members. Once ocean currents are well understood this information could be used to create oil spill models, improve offshore exploration and drilling equipment, and aid in the design of semi-permanent offshore production platforms.

  13. Discussion: the design and analysis of the Gaussian process model

    SciTech Connect (OSTI)

    Williams, Brian J; Loeppky, Jason L

    2008-01-01

    The investigation of complex physical systems utilizing sophisticated computer models has become commonplace with the advent of modern computational facilities. In many applications, experimental data on the physical systems of interest is extremely expensive to obtain and hence is available in limited quantities. The mathematical systems implemented by the computer models often include parameters having uncertain values. This article provides an overview of statistical methodology for calibrating uncertain parameters to experimental data. This approach assumes that prior knowledge about such parameters is represented as a probability distribution, and the experimental data is used to refine our knowledge about these parameters, expressed as a posterior distribution. Uncertainty quantification for computer model predictions of the physical system are based fundamentally on this posterior distribution. Computer models are generally not perfect representations of reality for a variety of reasons, such as inadequacies in the physical modeling of some processes in the dynamic system. The statistical model includes components that identify and adjust for such discrepancies. A standard approach to statistical modeling of computer model output for unsampled inputs is introduced for the common situation where limited computer model runs are available. Extensions of the statistical methods to functional outputs are available and discussed briefly.

  14. Stimulation at Desert Peak -modeling with the coupled THM code FEHM

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

    kelkar, sharad

    Numerical modeling of the 2011 shear stimulation at the Desert Peak well 27-15. This submission contains the FEHM executable code for a 64-bit PC Windows-7 machine, and the input and output files for the results presented in the included paper from ARMA-213 meeting.

  15. Short-Term Energy Outlook Model Documentation: Petroleum Products Supply Module

    Reports and Publications (EIA)

    2013-01-01

    The Petroleum Products Supply Module of the Short-Term Energy Outlook (STEO) model provides forecasts of petroleum refinery inputs (crude oil, unfinished oils, pentanes plus, liquefied petroleum gas, motor gasoline blending components, and aviation gasoline blending components) and refinery outputs (motor gasoline, jet fuel, distillate fuel, residual fuel, liquefied petroleum gas, and other petroleum products).

  16. Stimulation at Desert Peak -modeling with the coupled THM code FEHM

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

    kelkar, sharad

    2013-04-30

    Numerical modeling of the 2011 shear stimulation at the Desert Peak well 27-15. This submission contains the FEHM executable code for a 64-bit PC Windows-7 machine, and the input and output files for the results presented in the included paper from ARMA-213 meeting.

  17. Numerical Investigation of Flapwise-Torsional Vibration Model of a Smart Section Blade with Microtab

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Li, Nailu; Balas, Mark J.; Yang, Hua; Jiang, Wei; Magar, Kaman T.

    2015-01-01

    This study presents a method to develop an aeroelastic model of a smart section blade equipped with microtab. The model is suitable for potential passive vibration control study of the blade section in classic flutter. Equations of the model are described by the nondimensional flapwise and torsional vibration modes coupled with the aerodynamic model based on the Theodorsen theory and aerodynamic effects of the microtab based on the wind tunnel experimental data. The aeroelastic model is validated using numerical data available in the literature and then utilized to analyze the microtab control capability on flutter instability case and divergence instabilitymore » case. The effectiveness of the microtab is investigated with the scenarios of different output controllers and actuation deployments for both instability cases. The numerical results show that the microtab can effectively suppress both vibration modes with the appropriate choice of the output feedback controller.« less

  18. Size reduction techniques for vital compliant VHDL simulation models

    DOE Patents [OSTI]

    Rich, Marvin J.; Misra, Ashutosh

    2006-08-01

    A method and system select delay values from a VHDL standard delay file that correspond to an instance of a logic gate in a logic model. Then the system collects all the delay values of the selected instance and builds super generics for the rise-time and the fall-time of the selected instance. Then, the system repeats this process for every delay value in the standard delay file (310) that correspond to every instance of every logic gate in the logic model. The system then outputs a reduced size standard delay file (314) containing the super generics for every instance of every logic gate in the logic model.

  19. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect (OSTI)

    Billman, L.; Keyser, D.

    2013-08-01

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  20. Drift Scale THM Model

    SciTech Connect (OSTI)

    J. Rutqvist

    2004-10-07

    This model report documents the drift scale coupled thermal-hydrological-mechanical (THM) processes model development and presents simulations of the THM behavior in fractured rock close to emplacement drifts. The modeling and analyses are used to evaluate the impact of THM processes on permeability and flow in the near-field of the emplacement drifts. The results from this report are used to assess the importance of THM processes on seepage and support in the model reports ''Seepage Model for PA Including Drift Collapse'' and ''Abstraction of Drift Seepage'', and to support arguments for exclusion of features, events, and processes (FEPs) in the analysis reports ''Features, Events, and Processes in Unsaturated Zone Flow and Transport and Features, Events, and Processes: Disruptive Events''. The total system performance assessment (TSPA) calculations do not use any output from this report. Specifically, the coupled THM process model is applied to simulate the impact of THM processes on hydrologic properties (permeability and capillary strength) and flow in the near-field rock around a heat-releasing emplacement drift. The heat generated by the decay of radioactive waste results in elevated rock temperatures for thousands of years after waste emplacement. Depending on the thermal load, these temperatures are high enough to cause boiling conditions in the rock, resulting in water redistribution and altered flow paths. These temperatures will also cause thermal expansion of the rock, with the potential of opening or closing fractures and thus changing fracture permeability in the near-field. Understanding the THM coupled processes is important for the performance of the repository because the thermally induced permeability changes potentially effect the magnitude and spatial distribution of percolation flux in the vicinity of the drift, and hence the seepage of water into the drift. This is important because a sufficient amount of water must be available within a drift to transport any exposed radionuclides out of the drift to the groundwater below, and eventually to people within the accessible environment. Absent sufficient water, radionuclides cannot be transported and there would be no significant health effect on people, even if radioactive waste containers were damaged or corroded to such an extent that radionuclides were exposed to water.

  1. LA-UR-12-22318

    Office of Scientific and Technical Information (OSTI)

    PAR keyword enhanced New keyword LOC New keyword LOC New keyword DAT Benchmarking (NUSTLGoldhagen collaboration) Atmosphere (primary spectra, soon) ...

  2. Programming models

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

    Task-based models Task-based models and abstractions (such as offered by CHARM++, Legion and HPX, for example) offer many attractive features for mapping computations onto...

  3. Lifecycle Model

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

    1997-05-21

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  4. District heating strategy model: community manual

    SciTech Connect (OSTI)

    Hrabak, R. A.; Kron, Jr., N. F.; Pferdehirt, W. P.

    1981-10-01

    The US Department of Housing and Urban Development (HUD) and the US Department of Energy (DOE) cosponsor a program aimed at increasing the number of district heating and cooling systems. Twenty-eight communities have received HUD cooperative agreements to aid in a national feasibility assessment of district heating and cooling systems. The HUD/DOE program includes technical assistance provided by Argonne National Laboratory and Oak Ridge National Laboratory. Part of this assistance is a computer program, called the district heating strategy model, that performs preliminary calculations to analyze potential district heating and cooling systems. The model uses information about a community's physical characteristics, current electricity-supply systems, and local economic conditions to calculate heat demands, heat supplies from existing power plants and a new boiler, system construction costs, basic financial forecasts, and changes in air-pollutant emissions resulting from installation of a district heating and cooling system. This report explains the operation of the district heating strategy model, provides simplified forms for organizing the input data required, and describes and illustrates the model's output data. The report is written for three groups of people: (1) those in the HUD/DOE-sponsored communities who will be collecting input data, and studying output data, to assess the potential for district heating and cooling applications in their communiites; (2) those in any other communities who may wish to use the model for the same purpose; and (3) technical-support people assigned by the national laboratories to explain to community personnel how the model is used.

  5. Modeling of reciprocating internal combustion engines for power generation and heat recovery

    SciTech Connect (OSTI)

    Yun, Kyung Tae; Cho, Heejin; Luck, Rogelio; Mago, Pedro J.

    2013-02-01

    This paper presents a power generation and heat recovery model for reciprocating internal combustion engines (ICEs). The purpose of the proposed model is to provide realistic estimates of performance/efficiency maps for both electrical power output and useful thermal output for various capacities of engines for use in a preliminary CHP design/simulation process. The proposed model will serve as an alternative to constant engine efficiencies or empirical efficiency curves commonly used in the current literature for simulations of CHP systems. The engine performance/efficiency calculation algorithm has been coded to a publicly distributed FORTRAN Dynamic Link Library (DLL), and a user friendly tool has been developed using Visual Basic programming. Simulation results using the proposed model are validated against manufacturers technical data.

  6. Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1998-01-01

    This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

  7. New approaches for modeling type Ia supernovae (Conference) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Conference: New approaches for modeling type Ia supernovae Citation Details In-Document Search Title: New approaches for modeling type Ia supernovae Type Ia supernovae (SNe Ia) are the largest thermonuclearexplosions in the Universe. Their light output can be seen across greatstances and has led to the discovery that the expansion rate of theUniverse is accelerating. Despite the significance of SNe Ia, there arestill a large number of uncertainties in current theoretical

  8. Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide

    SciTech Connect (OSTI)

    Lantz, E.; Goldberg, M.; Keyser, D.

    2013-06-01

    The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

  9. Performance model assessment for multi-junction concentrating photovoltaic systems.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Riley, Daniel M.; McConnell, Robert.; Sahm, Aaron; Crawford, Clark; King, David L.; Cameron, Christopher P.; Foresi, James S.

    2010-03-01

    Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement. Large photovoltaic systems are typically developed as projects which supply electricity to a utility and are owned by independent power producers. Obtaining financing at favorable rates and attracting investors requires confidence in the projected energy yield from the plant. In this paper, various performance models for projecting annual energy yield from Concentrating Photovoltaic (CPV) systems are assessed by comparing measured system output to model predictions based on measured weather and irradiance data. The results are statistically analyzed to identify systematic error sources.

  10. FASTSim: A Model to Estimate Vehicle Efficiency, Cost and Performance

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Wang, L.; Wood, E.; Lopp, S.; Ramroth, L.

    2015-05-04

    The Future Automotive Systems Technology Simulator (FASTSim) is a high-level advanced vehicle powertrain systems analysis tool supported by the U.S. Department of Energy’s Vehicle Technologies Office. FASTSim provides a quick and simple approach to compare powertrains and estimate the impact of technology improvements on light- and heavy-duty vehicle efficiency, performance, cost, and battery batches of real-world drive cycles. FASTSim’s calculation framework and balance among detail, accuracy, and speed enable it to simulate thousands of driven miles in minutes. The key components and vehicle outputs have been validated by comparing the model outputs to test data for many different vehicles to provide confidence in the results. A graphical user interface makes FASTSim easy and efficient to use. FASTSim is freely available for download from the National Renewable Energy Laboratory’s website (see www.nrel.gov/fastsim).

  11. Asia-Pacific Integrated Model (AIM) | Open Energy Information

    Open Energy Info (EERE)

    (LEDS). Key Outputs Emissions estimates (CO2, SO2, NOx), total primary energy supply, electricity generation by fuel-type, sector-wise energy consumption, economic output...

  12. Adversary Sequence Interruption Model

    Energy Science and Technology Software Center (OSTI)

    1985-11-15

    PC EASI is an IBM personal computer or PC-compatible version of an analytical technique for measuring the effectiveness of physical protection systems. PC EASI utilizes a methodology called Estimate of Adversary Sequence Interruption (EASI) which evaluates the probability of interruption (PI) for a given sequence of adversary tasks. Probability of interruption is defined as the probability that the response force will arrive before the adversary force has completed its task. The EASI methodology is amore » probabilistic approach that analytically evaluates basic functions of the physical security system (detection, assessment, communications, and delay) with respect to response time along a single adversary path. It is important that the most critical scenarios for each target be identified to ensure that vulnerabilities have not been overlooked. If the facility is not overly complex, this can be accomplished by examining all paths. If the facility is complex, a global model such as Safeguards Automated Facility Evaluation (SAFE) may be used to identify the most vulnerable paths. PC EASI is menu-driven with screen forms for entering and editing the basic scenarios. In addition to evaluating PI for the basic scenario, the sensitivities of many of the parameters chosen in the scenario can be analyzed. These sensitivities provide information to aid the analyst in determining the tradeoffs for reducing the probability of interruption. PC EASI runs under the Micro Data Base Systems'' proprietary database management system Knowledgeman. KMAN provides the user environment and file management for the specified basic scenarios, and KGRAPH the graphical output of the sensitivity calculations. This software is not included. Due to errors in release 2 of KMAN, PC EASI will not execute properly; release 1.07 of KMAN is required.« less

  13. PV performance modeling workshop summary report.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Tasca, Coryne Adelle; Cameron, Christopher P.

    2011-05-01

    During the development of a solar photovoltaic (PV) energy project, predicting expected energy production from a system is a key part of understanding system value. System energy production is a function of the system design and location, the mounting configuration, the power conversion system, and the module technology, as well as the solar resource. Even if all other variables are held constant, annual energy yield (kWh/kWp) will vary among module technologies because of differences in response to low-light levels and temperature. A number of PV system performance models have been developed and are in use, but little has been published on validation of these models or the accuracy and uncertainty of their output. With support from the U.S. Department of Energy's Solar Energy Technologies Program, Sandia National Laboratories organized a PV Performance Modeling Workshop in Albuquerque, New Mexico, September 22-23, 2010. The workshop was intended to address the current state of PV system models, develop a path forward for establishing best practices on PV system performance modeling, and set the stage for standardization of testing and validation procedures for models and input parameters. This report summarizes discussions and presentations from the workshop, as well as examines opportunities for collaborative efforts to develop objective comparisons between models and across sites and applications.

  14. Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas)

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

    a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,573,566,415 218,383,703 145,398,976 363,247 5,590,014 1,943,302,355 14,468,564 1,059 984,406

  15. Table 11.5b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas)

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

    b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,520,229,870 169,653,294 133,545,718 363,247 4,365,768 1,828,157,897 13,815,263 832 809,873 6,874

  16. Table 11.5c Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas)

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

    c Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Commercial Sector 8<//td> 1989 2,319,630 1,542,083 637,423 [ –] 803,754 5,302,890 37,398 4

  17. Table 8.6a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c)

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

    a Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Total (All Sectors), 1989-2011 (Sum of Tables 8.6b and 8.6c) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 16,509,639 1,410,151 16,356,550 353,000 247,409 19,356,746

  18. Table 8.6b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a)

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

    b Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Electric Power Sector, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu 1989 638,798 119,640 1,471,031 762 – 1,591,433 81,669,945 2,804 24,182 5,687

  19. Table 8.6c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a)

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

    c Estimated Consumption of Combustible Fuels for Useful Thermal Output at Combined-Heat-and-Power Plants: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.6a) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu Commercial Sector 11<//td> 1989 711,212 202,091 600,653 – –

  20. Modeling the transfer function for the Dark Energy Survey

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Chang, C.; Busha, M. T.; Wechsler, R. H.; Refregier, A.; Amara, A.; Rykoff, E.; Becker, M. R.; Bruderer, C.; Gamper, L.; Leistedt, B.; et al

    2015-03-04

    We present a forward-modelling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfer function a mapping from cosmological and astronomical signals to the final data products used by the scientists. Using output from the cosmological simulations (the Blind Cosmology Challenge), we generate simulated images (the Ultra Fast Image Simulator, Berge et al. 2013) and catalogs representative of the DES data. In this work we simulate the 244 deg2 coadd images and catalogs in 5 bands for the DES Science Verification (SV) data. The simulationmoreoutput is compared with the corresponding data to show that major characteristics of the images and catalogs can be captured. We also point out several directions of future improvements. Two practical examples, star/galaxy classification and proximity effects on object detection, are then used to demonstrate how one can use the simulations to address systematics issues in data analysis. With clear understanding of the simplifications in our model, we show that one can use the simulations side-by-side with data products to interpret the measurements. This forward modelling approach is generally applicable for other upcoming and future surveys. As a result, it provides a powerful tool for systematics studies which is sufficiently realistic and highly controllable.less