National Library of Energy BETA

Sample records for model output ghi

  1. Identification of periods of clear sky irradiance in time series of GHI measurements

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

    Reno, Matthew J.; Hansen, Clifford W.

    2016-01-18

    In this study, we present a simple algorithm for identifying periods of time with broadband global horizontal irradiance (GHI) similar to that occurring during clear sky conditions from a time series of GHI measurements. Other available methods to identify these periods do so by identifying periods with clear sky conditions using additional measurements, such as direct or diffuse irradiance. Our algorithm compares characteristics of the time series of measured GHI with the output of a clear sky model without requiring additional measurements. We validate our algorithm using data from several locations by comparing our results with those obtained from amore » clear sky detection algorithm, and with satellite and ground-based sky imagery.« less

  2. 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

  3. Kenya Hourly DNI, GHI and Diffuse Solar Data - Datasets - OpenEI...

    Open Energy Info (EERE)

    Kenya Hourly DNI, GHI and Diffuse Solar Data Abstract Each data file is a set of hourly values of solar radiation (DNI, GHI and diffuse) and meteorological elements for a 1-year...

  4. 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.

  5. 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.

  6. 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):

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

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

    -limited" experiment, in which emissions are assumed to be constrained, so that the concentration of carbon dioxide levels off at 550 parts per million by volume (ppmv) shortly after 2100. 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.

  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 framework’s functionality to bridge the gap between the user’s 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. Input-output model for MACCS nuclear accident impacts estimation¹

    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.

  12. Characteristic operator functions for quantum input-plant-output models and coherent control

    SciTech Connect (OSTI)

    Gough, John E.

    2015-01-15

    We introduce the characteristic operator as the generalization of the usual concept of a transfer function of linear input-plant-output systems to arbitrary quantum nonlinear Markovian input-output models. This is intended as a tool in the characterization of quantum feedback control systems that fits in with the general theory of networks. The definition exploits the linearity of noise differentials in both the plant Heisenberg equations of motion and the differential form of the input-output relations. Mathematically, the characteristic operator is a matrix of dimension equal to the number of outputs times the number of inputs (which must coincide), but with entries that are operators of the plant system. In this sense, the characteristic operator retains details of the effective plant dynamical structure and is an essentially quantum object. We illustrate the relevance to model reduction and simplification definition by showing that the convergence of the characteristic operator in adiabatic elimination limit models requires the same conditions and assumptions appearing in the work on limit quantum stochastic differential theorems of Bouten and Silberfarb [Commun. Math. Phys. 283, 491-505 (2008)]. This approach also shows in a natural way that the limit coefficients of the quantum stochastic differential equations in adiabatic elimination problems arise algebraically as Schur complements and amounts to a model reduction where the fast degrees of freedom are decoupled from the slow ones and eliminated.

  13. 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.

  14. SAS Output

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

    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 ...

  15. 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) ...

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    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) ...

  17. SAS Output

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

    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 ...

  18. SAS Output

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

    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

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

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

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  1. SAS Output

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

    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 ...

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  3. SAS Output

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

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

  4. SAS Output

    Annual Energy Outlook [U.S. Energy Information Administration (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 ...

  5. SAS Output

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

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

  7. 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) ...

  8. SAS Output

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

    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 ...

  9. SAS Output

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

    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 ...

  10. 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

  11. Evaluation of global horizontal irradiance to plane-of-array irradiance models at locations across the United States

    SciTech Connect (OSTI)

    Lave, Matthew; Hayes, William; Pohl, Andrew; Hansen, Clifford W.

    2015-02-02

    We report an evaluation of the accuracy of combinations of models that estimate plane-of-array (POA) irradiance from measured global horizontal irradiance (GHI). This estimation involves two steps: 1) decomposition of GHI into direct and diffuse horizontal components and 2) transposition of direct and diffuse horizontal irradiance (DHI) to POA irradiance. Measured GHI and coincident measured POA irradiance from a variety of climates within the United States were used to evaluate combinations of decomposition and transposition models. A few locations also had DHI measurements, allowing for decoupled analysis of either the decomposition or the transposition models alone. Results suggest that decomposition models had mean bias differences (modeled versus measured) that vary with climate. Transposition model mean bias differences depended more on the model than the location. Lastly, when only GHI measurements were available and combinations of decomposition and transposition models were considered, the smallest mean bias differences were typically found for combinations which included the Hay/Davies transposition model.

  12. Evaluation of Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground Based Mea...

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

    Tropical Cirrus Cloud Properties and Dynamical Processes Derived from ECMWF Model Output and Ground-Based Measurements Over Nauru Island J. M. Comstock and J. H. Mather Pacific Northwest National Laboratory Richland, Washington C. Jakob Bureau of Meteorology Research Centre Melbourne, Australia Introduction Identifying the mechanisms responsible for the formation of cirrus clouds is important in understanding the role of cirrus in the tropical atmosphere. Thin cirrus clouds near the tropical

  13. SAS Output

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

    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

  14. SAS Output

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

    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

  15. SAS Output

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

    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

  16. SAS Output

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

    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

  17. SAS Output

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

    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

  18. SAS Output

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

    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

  19. SAS Output

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

    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

  20. SAS Output

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

    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

  1. SAS Output

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

    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

  2. SAS Output

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

    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

  3. SAS Output

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

    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

  4. SAS Output

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

    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

  5. SAS Output

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

    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

  6. SAS Output

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

    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

  7. SAS Output

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

    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

  8. SAS Output

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

    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

  9. 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.

  10. 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

  11. Evaluation of global horizontal irradiance to plane-of-array irradiance models at locations across the United States

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

    Lave, Matthew; Hayes, William; Pohl, Andrew; Hansen, Clifford W.

    2015-02-02

    We report an evaluation of the accuracy of combinations of models that estimate plane-of-array (POA) irradiance from measured global horizontal irradiance (GHI). This estimation involves two steps: 1) decomposition of GHI into direct and diffuse horizontal components and 2) transposition of direct and diffuse horizontal irradiance (DHI) to POA irradiance. Measured GHI and coincident measured POA irradiance from a variety of climates within the United States were used to evaluate combinations of decomposition and transposition models. A few locations also had DHI measurements, allowing for decoupled analysis of either the decomposition or the transposition models alone. Results suggest that decompositionmore » models had mean bias differences (modeled versus measured) that vary with climate. Transposition model mean bias differences depended more on the model than the location. Lastly, when only GHI measurements were available and combinations of decomposition and transposition models were considered, the smallest mean bias differences were typically found for combinations which included the Hay/Davies transposition model.« less

  12. 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.

  13. Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model

    SciTech Connect (OSTI)

    Liang Sai; Zhang, Tianzhu; Xu Yijian

    2012-03-15

    Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

  14. 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.

  15. Enhanced performance CCD output amplifier

    DOE Patents [OSTI]

    Dunham, Mark E.; Morley, David W.

    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.

  16. Igniter and actuator output testing

    SciTech Connect (OSTI)

    Evans, N.A.

    1988-01-01

    Closed system mechanical work output measurements were made for five types of thermal battery igniters and one type of valve actuator. Each unit was fired into a high-precision fit piston/cylinder arrangement, and the work output was determined from measuring the rise of a known weight. The results showed that work output for an individual igniter type varied over a considerable range while the mean work output values of the various igniter types appeared to depend principally on the type of closure disc and the details of the charge mix. The large variability in igniter output was the principal inducement to build a second apparatus, with approximately 10 times the capacity of the first, to investigate the output actuators. Compared with igniters, the actuator work output was appropriately in scale, but the variability was considerably reduced (R=1.5), and was attributed to increase in scale. Motion picture photography at 8000 to 9000 frames per second was used to determine the motion of the rising weight and the associated output pressure, which exhibited three distinct phases. Initially, the average acceleration of the weight was of the order of 100 g during the first half-millisecond of weight rise and corresponded to average pressures of 15,000 to 37,000 psi, depending principally on the mass of the weight. This was followed by a significant weight rise at a constant pressure of approximately 150 to 450 psi. Finally, the weight decelerated to rest under gravity to reach the maximum recorded height. 2 refs., 9 figs., 2 tabs.

  17. 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.

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

    Office of Scientific and Technical Information (OSTI)

    APA Chicago Bibtex Export Metadata Endnote Excel CSV XML Save to My Library Send to Email Send to Email Email address: Content: Close Send Cite: MLA Format Close Cite: APA ...

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

    Office of Scientific and Technical Information (OSTI)

    DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Joint Statistical Meetings ; August 2, 2011 ; Miami, FL Research Org: Los Alamos ...

  20. 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.

  1. Global horizontal irradiance clear sky models : implementation and analysis.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.

    2012-03-01

    Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.

  2. 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.

  3. 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.

  4. 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.

  5. Porous radiant burners having increased radiant output

    DOE Patents [OSTI]

    Tong, Timothy W.; Sathe, Sanjeev B.; Peck, Robert E.

    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.

  6. 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.

  7. 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 ...

  8. 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 Authors: Taddeucci, Terry N 1 + Show Author ...

  9. 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...

  10. 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 ...

  11. 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

  12. Off-set stabilizer for comparator output

    DOE Patents [OSTI]

    Lunsford, James S.

    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.

  13. 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.

  14. 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...

  15. 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.

  16. 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.

  17. 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...

  18. Factors Affecting Power Output by Photovoltaic Cells Lesson

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

    Factors Affecting Power Output by Photovoltaic Cells Grade Level(s): IB 2 (Senior - 3 ... C.8 Photovoltaic cells and dye-sensitized solar cells (DSSC) Understandings: * Solar ...

  19. 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).

  20. 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

  1. Engineering microbial consortia for controllable outputs

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

    Lindemann, Stephen R.; Bernstein, Hans C.; Song, Hyun -Seob; Fredrickson, Jim K.; Fields, Matthew W.; Shou, Wenying; Johnson, David R.; Beliaev, Alexander S.

    2016-03-11

    In this study, much research has been invested into engineering microorganisms to perform desired biotransformations; nonetheless, these efforts frequently fall short of expected results due to the unforeseen effects of biofeedback regulation and functional incompatibility. In nature, metabolic function is compartmentalized into diverse organisms assembled into robust consortia, in which the division of labor is thought to lead to increased community efficiency and productivity. Here we consider whether and how consortia can be designed to perform bioprocesses of interest beyond the metabolic flexibility limitations of a single organism. Advances in post-genomic analysis of microbial consortia and application of high-resolution globalmore » measurements now offer the promise of systems-level understanding of how microbial consortia adapt to changes in environmental variables and inputs of carbon and energy. We argue that, when combined with appropriate modeling frameworks, systems-level knowledge can markedly improve our ability to predict the fate and functioning of consortia. Here we articulate our collective perspective on the current and future state of microbial community engineering and control while placing specific emphasis on ecological principles that promote control over community function and emergent properties.« less

  2. Dual output acoustic wave sensor for molecular identification

    DOE Patents [OSTI]

    Frye, Gregory C.; Martin, Stephen J.

    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.

  3. 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.

  4. 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.

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

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

    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. ssgrandchallenge_finance_schrag.pdf (63.07 KB) More Documents & Publications The SunShot Vision Study SunShot Vision Study: February 2012 (Book), SunShot, Energy Efficiency & Renewable Energy (EERE)

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

    Broader source: Energy.gov [DOE]

    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 Celsius. Reducing the module temperature to near ambient levels will increase yearly energy output by 8%. This project will enable lower operating temperatures for modules, resulting in higher module power output and lower levelized cost of electricity (LCOE).

  7. Slide 1

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

    record (number of years of data) Spatial variability (e.g., 14% difference around Dallas) Need for methods using only GHI (estimate DNI and DHI) Advances in modeling ...

  8. Method for separating FEL output beams from long wavelength radiation

    DOE Patents [OSTI]

    Neil, George; Shinn, Michelle D.; Gubeli, Joseph

    2016-04-26

    A method for improving the output beam quality of a free electron laser (FEL) by reducing the amount of emission at wavelengths longer than the electron pulse length and reducing the amount of edge radiation. A mirror constructed of thermally conductive material and having an aperture therein is placed at an oblique angle with respect to the beam downstream of the bending magnet but before any sensitive use of the FEL beam. The aperture in the mirror is sized to deflect emission longer than the wavelength of the FEL output while having a minor impact on the FEL output beam. A properly sized aperture will enable the FEL radiation, which is coherent and generally at a much shorter wavelength than the bending radiations, to pass through the aperture mirror. The much higher divergence bending radiations will subsequently strike the aperture mirror and be reflected safely out of the way.

  9. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    Handbook providing practical information to help regulators decide if they want to use output-based regulations and explains how to develop an output-based emission standard

  11. 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.

  12. 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.

  13. Light-operated proximity detector with linear output

    DOE Patents [OSTI]

    Simpson, Marc L.; McNeilly, David R.

    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.

  14. 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.

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

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

    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

  16. 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.

  17. 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.

  18. 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.

  19. 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)

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

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean; Vuk, Carl Thomas

    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.

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

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean; Vuk, Carl Thomas

    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.

  2. 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

  3. File:NREL-bhutan-10kmsolar-ghi.pdf | Open Energy Information

    Open Energy Info (EERE)

    search File File history File usage Bhutan - Annual Global Horizontal Solar Radiation Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  4. 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.

  5. 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. ...

  6. 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

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

    DOE Patents [OSTI]

    Post, Richard F.

    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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. The effect of output-input isolation on the scaling and energy consumption of all-spin logic devices

    SciTech Connect (OSTI)

    Hu, Jiaxi; Haratipour, Nazila; Koester, Steven J.

    2015-05-07

    All-spin logic (ASL) is a novel approach for digital logic applications wherein spin is used as the state variable instead of charge. One of the challenges in realizing a practical ASL system is the need to ensure non-reciprocity, meaning the information flows from input to output, not vice versa. One approach described previously, is to introduce an asymmetric ground contact, and while this approach was shown to be effective, it remains unclear as to the optimal approach for achieving non-reciprocity in ASL. In this study, we quantitatively analyze techniques to achieve non-reciprocity in ASL devices, and we specifically compare the effect of using asymmetric ground position and dipole-coupled output/input isolation. For this analysis, we simulate the switching dynamics of multiple-stage logic devices with FePt and FePd perpendicular magnetic anisotropy materials using a combination of a matrix-based spin circuit model coupled to the Landau–Lifshitz–Gilbert equation. The dipole field is included in this model and can act as both a desirable means of coupling magnets and a source of noise. The dynamic energy consumption has been calculated for these schemes, as a function of input/output magnet separation, and the results show that using a scheme that electrically isolates logic stages produces superior non-reciprocity, thus allowing both improved scaling and reduced energy consumption.

  13. 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

  14. Development of a 402.5 MHz 140 kW Inductive Output Tube (Technical...

    Office of Scientific and Technical Information (OSTI)

    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 ...

  15. Double Power Output for GaAs Solar Cells Embedded in Luminescent...

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

    Double power output of bifacial thin-film GaAs microscale solar cells is achieved by embedding in luminescent waveguides (LSCs) with light- trapping backside reflectors (BSRs). ...

  16. Building Energy Modeling Sub-Program Logic Model

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

    External Influences: DOE budget, Spin-off modeling tools & applications , Energy prices, Legislation Regulation, Private sector R&D Objectives Activities Partners Outputs Short ...

  17. 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

  18. 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

  19. Estimating Solar PV Output Using Modern Space/Time Geostatistics (Presentation)

    SciTech Connect (OSTI)

    Lee, S. J.; George, R.; Bush, B.

    2009-04-29

    This presentation describes a project that uses mapping techniques to predict solar output at subhourly resolution at any spatial point, develop a methodology that is applicable to natural resources in general, and demonstrate capability of geostatistical techniques to predict the output of a potential solar plant.

  20. 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.

  1. 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.

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

    DOE Patents [OSTI]

    Post, Richard F.

    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.

  3. Technique for enhancing the power output of an electrostatic generator employing parametric resonance

    DOE Patents [OSTI]

    Post, Richard F.

    2016-02-23

    A circuit-based technique enhances the power output of electrostatic generators employing an array of axially oriented rods or tubes or azimuthal corrugated metal surfaces for their electrodes. During generator operation, the peak voltage across the electrodes occurs at an azimuthal position that is intermediate between the position of minimum gap and maximum gap. If this position is also close to the azimuthal angle where the rate of change of capacity is a maximum, then the highest rf power output possible for a given maximum allowable voltage at the minimum gap can be attained. This rf power output is then coupled to the generator load through a coupling condenser that prevents suppression of the dc charging potential by conduction through the load. Optimized circuit values produce phase shifts in the rf output voltage that allow higher power output to occur at the same voltage limit at the minimum gap position.

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

    DOE Patents [OSTI]

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

    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.

  5. 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.

  6. 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.

  7. 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.

  8. Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

    SciTech Connect (OSTI)

    Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

    2012-12-01

    High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

  9. 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).

  10. 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...

  11. 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...

  12. New Research Center to Increase Safety and Power Output of U...

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

    Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research ... at a fraction of the cost of building new reactors, while providing continued ...

  13. 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.

  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. Phasing surface emitting diode laser outputs into a coherent laser beam

    DOE Patents [OSTI]

    Holzrichter, John F.

    2006-10-10

    A system for generating a powerful laser beam includes a first laser element and at least one additional laser element having a rear laser mirror, an output mirror that is 100% reflective at normal incidence and <5% reflective at an input beam angle, and laser material between the rear laser mirror and the output mirror. The system includes an injector, a reference laser beam source, an amplifier and phase conjugater, and a combiner.

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

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

    of Energy 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 vtpn04_lm_schutte_2012_o.pdf (461.49 KB) More Documents & Publications Materials Lightweight Materials Overview Overview of Lightweight Materials

  17. SAS Output

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

    ...1,2730243,2501775,10875372,11870666,-8.4 " Charleston, SC",124,148,1030,563,2223,-74.7 " El Paso, TX",25988,44883,167,122862,7508,"NM" " Houston-Galveston, TX",113426,232428,225146...

  18. SAS Output

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

    0 0 1,518 1,406 Massachusetts 3,491 3,282 3,827 2,521 1,014 2,169 32 47 8,364 8,020 New Hampshire 791 744 640 611 235 225 0 0 1,666 1,579 Rhode Island 527 481 533 474 114 109 4 3 ...

  19. SAS Output

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

    0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 2 2 -10.6% 0 0 2 2 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  20. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 526 2.29 7.8 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- ...

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8,726 2 3 8 9 Maine 3,403 3,675 10 12 8 9 Massachusetts 12,917 14,735 6 11 13 14 New Hampshire 3,458 3,447 3 3 4 5 Rhode Island 2,566 2,838 0.09 1 1 1 Vermont 14 15 0.06 0.07 1 ...

  2. SAS Output

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

    0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- ...

  3. SAS Output

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

    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 -- -- W W Vermont -- -- -- -- -- -- -- ...

  4. SAS Output

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

    0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582 W 1,965 1,496 31.3% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island W 0 W W W W 0 0 -- Vermont 0 0 -- 57 NM NM 0 0 -- ...

  5. SAS Output

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

    0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  6. SAS Output

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

    829 3.8% 0 0 860 829 0 0 0 0 Massachusetts 4,233 4,087 3.6% 0 0 4,233 4,087 0 0 0 0 New Hampshire 1,871 1,839 1.7% 0 0 1,195 1,128 676 711 0 0 Rhode Island 3,980 956 316% 0 0 3,980 ...

  7. SAS Output

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

    -- Maine 85 0.85 8.2 0 -- -- 0 -- -- Massachusetts 1,225 0.72 11.3 0 -- -- 0 -- -- New Hampshire 526 2.29 7.8 0 -- -- 0 -- -- Rhode Island 0 -- -- 254 0.09 2.0 0 -- -- Vermont 0 ...

  8. SAS Output

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

    14% 1 1 476 424 6 6 43 30 Massachusetts 1,646 713 131% 240 126 1,324 546 80 39 1 2 New Hampshire 454 187 143% 216 135 222 41 16 11 0.05 0.19 Rhode Island 113 75 50% 21 22 83 38 NM ...

  9. SAS Output

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

    19 15 27% 0 0 10 7 0 0 9 8 Massachusetts 1,248 1,723 -28% 0 0 1,244 1,718 0 0 5 5 New Hampshire 544 616 -12% 544 616 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 ...

  10. SAS Output

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

    -- 0 -- -- Maine 32 0.94 8.4 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- ...

  11. SAS Output

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

    11.86 Massachusetts 17.39 15.83 14.68 14.23 12.74 13.18 8.76 13.06 15.35 14.51 New Hampshire 17.53 16.33 14.34 13.52 11.93 11.40 -- -- 15.22 14.30 Rhode Island 17.17 15.20 ...

  12. SAS Output

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

    -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- ...

  13. SAS Output

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

    W W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.27 4.21 1.4% 4.27 4.21 -- -- Rhode Island W -- W -- -- W -- Vermont -- -- -- -- ...

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    66 30% 0 0 53 38 0 0 32 28 Massachusetts 1,225 1,805 -32% 0 0 1,225 1,805 0 0 0 0 New Hampshire 526 726 -28% 526 726 0 0 0 0 0 0 Rhode Island 254 0 -- 0 0 254 0 0 0 0 0 Vermont 0 ...

  15. SAS Output

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

    0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -458 -368 24.5% 0 0 -458 -368 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  16. SAS Output

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

    -- 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 -- -- W 5.67 Vermont -- -- -- -- -- -- ...

  17. SAS Output

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

    0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 305 105 191.3% 11 4 289 100 5 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 10 2 388.5% 0 0 10 2 0 0 0 0 Vermont 24 17 ...

  18. SAS Output

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

    " Massachusetts","w","w","-","-","w","w","-","-",-7.4,"s","-","-" " New Hampshire",108.29,"-","-","-",108.33,"-","-","-","s","-","-","-" " Rhode ...

  19. SAS Output

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

    27.6% 1 1 261 204 2 2 41 32 Massachusetts 1,005 390 157.4% 131 71 793 287 80 31 1 1 New Hampshire 287 105 175.0% 108 62 163 28 16 14 0.07 0.26 Rhode Island 88 51 74.9% 11 11 60 26 ...

  20. SAS Output

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

    5,409 14,249 Massachusetts 126,810 148,736 -15% 1,544 1,245 125,265 147,491 0 0 0 0 New Hampshire 31,309 29,644 5.6% 424 355 30,885 29,289 0 0 0 0 Rhode Island 44,839 46,035 -2.6% ...

  1. SAS Output

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

    -- Maine 53 0.80 8.0 0 -- -- 0 -- -- Massachusetts 1,225 0.72 11.3 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 254 0.09 2.0 0 -- -- Vermont 0 -- -- ...

  2. SAS Output

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

    11,855 Massachusetts 20,071 20,728 26,076 17,713 7,961 16,463 361 361 54,469 55,265 New Hampshire 4,510 4,554 4,465 4,517 1,969 1,973 0 0 10,944 11,043 Rhode Island 3,070 3,165 ...

  3. SAS Output

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

    0 0 587 873 0 0 50 25 Massachusetts 1,867 1,300 44% 301 154 1,566 1,146 0 0 0 0 New Hampshire 741 354 110% 455 268 287 86 0 0 0 0 Rhode Island 217 31 594% 0 0 217 31 0 0 0 0 ...

  4. SAS Output

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

    0.1% 0 0 112 115 200 196 0 0 Massachusetts 2,071 2,029 2.1% 0 0 2,071 2,029 0 0 0 0 New Hampshire 125 156 -20% 0 0 125 156 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 ...

  5. 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...

  6. 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 --...

  7. 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...

  8. 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...

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    ... equal to Internal Demand less Direct Control Load Management and Interruptible Demand. ... Capacity Margin is the amount of unused available capability of an electric power system at ...

  10. SAS Output

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

    Underground Coal Production by State and Mining Method, 2014" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",435,"-",12081,12516 "Arkansas",87,"-","-",87 "Colorado",971,10,17142,18123 "Illinois",16944,1634,34136,52713

  11. SAS Output

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

    0. Average Sales Price of Coal by State, County, and Number of Mines, 2014" "Coal-Producing State and County","Number of Mines","Sales","Average Sales Price" ,,"(thousand short tons)","(dollars per short ton)" "Alabama",32,17359,87.17 " Bibb",1,"w","w" " Franklin",2,"w","w" " Jefferson",9,5764,103.31 " Shelby",2,"w","w"

  12. SAS Output

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

    3. Average Sales Price of U.S. Coal by State and Disposition, 2014" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",84.48,"-",87.17 "Alaska","w","-","w" "Arizona","w","-","w" "Arkansas","w","w","w" "Colorado",35.68,44.28,38.64

  13. SAS Output

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

    Coal Production by Coalbed Thickness and Mine Type, 2014" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",922,922 "7 - Under 13","-",2518,2518 "13 - Under 19",343,6236,6579 "19 - Under 25",197,11075,11273 "25 - Under 31",2693,10632,13324 "31 - Under 37",15604,14557,30161 "37 - Under 43",20075,13504,33580

  14. SAS Output

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

    Coal Production and Number of Mines by State and Coal Rank, 2014" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production","Number of

  15. SAS Output

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

    . Coal Production by State, Mine Type, and Union Status, 2014" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface","Underground","Surface" "State and Region1" "Alabama",12081,327,435,3486,12516,3813 "Alaska","-",1502,"-","-","-",1502

  16. SAS Output

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

    Coal Disposition by State, 2014" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales / Transactions2","Exports3","Total" "Alabama",5310,"-",12049,17359 "Alaska",954,"-",554,1508 "Arizona",8182,"-","-",8182 "Arkansas",1,104,9,114 "Colorado",10602,11844,2089,24536 "Illinois",39533,6139,10170,55842

  17. SAS Output

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

    Major U.S. Coal Mines, 2014" "Rank","Mine Name / Operating Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining LLC","Surface","Wyoming",117965515 2,"Black Thunder / Thunder Basin Coal Company LLC","Surface","Wyoming",101016860 3,"Cordero Mine / Cordero Mining

  18. 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...

  19. SAS Output

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

    State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",89.68 "Arkansas","w","-","-","w" "Colorado","w","-","w",37.28 "Illinois",44.23,"w",4...

  20. 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...

  1. SAS Output

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

    1. Average Sales Price of Coal by State and Coal Rank, 2014" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" ...

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Peak Load by North American Electric Reliability Corporation Assessment Area, 2004 - ... Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity ...

  3. SAS Output

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

    Margins by North American Electric Reliability Assessment Area, 2004 - 2014, Actual ... Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity ...

  4. 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...

  5. 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...

  6. 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","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",40.85,44.62,71.22,40.85,71.22,-42.6 " Canada*",85.43,69.79,74.16,85.43,74.16,15.2 " Dominican

  7. SAS Output

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

    U.S. Metallurgical Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",586002,1478020,446185,586002,446185,31.3 " Canada*",440922,1341068,339057,440922,339057,30 "

  8. 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","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",91.86,102.82,92.36,91.86,92.36,-0.5 " Canada*",88.1,104.16,87.3,88.1,87.3,0.9 "

  9. SAS Output

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

    U.S. Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",9472145,9165858,13595691,9472145,13595691,-30.3 " Baltimore, MD",3850539,2991709,4886468,3850539,4886468,-21.2 " Buffalo, NY",3381,570146,96786,3381,96786,-96.5 " New

  10. SAS Output

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

    Metallurgical Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",7922195,7044057,10183046,7922195,10183046,-22.2 " Baltimore, MD",2990819,1811937,3344676,2990819,3344676,-10.6 " Buffalo, NY",196,566999,95591,196,95591,-99.8

  11. SAS Output

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

    U.S. Coal Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",240168,341205,171698,240168,171698,39.9 " Canada",239440,341189,171631,239440,171631,39.5 " Mexico",728,16,67,728,67,"NM" "South America

  12. SAS Output

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

    Price of U.S. Coal Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",71.92,104.33,107.02,71.92,107.02,-32.8 " Canada",71.93,104.32,107.01,71.93,107.01,-32.8 " Mexico",66.79,360.25,113.43,66.79,113.43,-41.1

  13. SAS Output

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

    Coal Production, 2010 - 2016" "(thousand short tons)" "Year","January - March","April - June","July - September","October - December","Total" 2010,265702,264982,277505,276180,1084368 2011,273478,264291,275006,282853,1095628 2012,266865,241047,258956,249591,1016458 2013,244867,243211,257595,239169,984842 2014,245271,245844,255377,253557,1000049 2015,240189,211130,237263,207355,895936

  14. SAS Output

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

    Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",312200,225584,520059,312200,520059,-40 " Baltimore, MD","-",10410,"-","-","-","-" " Boston,

  15. SAS Output

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

    1. U.S. Coke Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",2763,52115,2035,2763,2035,35.8 " Canada",2763,52115,2035,2763,2035,35.8 "Europe Total",1056,1156,14,1056,14,"NM" "

  16. SAS Output

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

    2. Average Price of U.S. Coke Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",181.85,113.11,213.82,181.85,213.82,-15 " Canada",181.85,113.11,213.82,181.85,213.82,-15 "Europe

  17. SAS Output

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

    by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","January - March","October - December","January - March",2016,2015,"Percent" "and State",2016,2015,2015,,,"Change" "Alabama",2446,2298,4022,2446,4022,-39.2 "Alaska",310,328,265,310,265,16.7 "Arizona",1335,1376,1755,1335,1755,-23.9 "Arkansas",11,18,21,11,21,-48

  18. SAS Output

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

    U.S. Coal Exports and Imports, 2010 - 2016" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2010,17807,4803,21965,5058,21074,4680,20870,4811,81716,19353

  19. SAS Output

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

    Average Price of U.S. Coal Exports and Imports, 2010 - 2016" "(dollars per short ton)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports"

  20. SAS Output

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

    Quantity and Average Price of U.S. Coal Imports by Origin, 2010 - 2016" "(short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2010,380404,1766896,14583950,1904040,52869,581700,82828,19352687 2011,61745,1680490,9500387,856038,22128,778887,187931,13087606

  1. SAS Output

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

    U.S. Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",1373100,2359203,1865247,1373100,1865247,-26.4 " Canada*",608869,1671121,715703,608869,715703,-14.9 " Dominican Republic",19,"-",1745,19,1745,-98.9

  2. 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","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",62.62,81.09,76.28,62.62,76.28,-17.9 " Canada*",87.37,97.37,80.39,87.37,80.39,8.7 " Dominican

  3. SAS Output

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

    U.S. Steam Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",787098,881183,1419062,787098,1419062,-44.5 " Canada*",167947,330053,376646,167947,376646,-55.4 " Dominican

  4. SAS Output

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

    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

  5. SAS Output

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

    . 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

  6. SAS Output

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

    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

  7. SAS Output

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

    3. Revenue from Sales of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Million Dollars) Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  8. SAS Output

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

    4. Average Price of Electricity to Ultimate Customers by End-Use Sectors 2004 through 2014 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.26 6.96 10.71 9.74 2009 11.51 10.16 6.83 10.66 9.82 2010 11.54 10.19 6.77 10.56 9.83 2011 11.72 10.24 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2013 12.13

  9. SAS Output

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

    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

  10. SAS Output

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

    6. Revenue from Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Million Dollars) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  11. SAS Output

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

    7. Average Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Cents per Kilowatthour) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.26 6.96 10.71 9.74 2009 11.51 10.16 6.83 10.66 9.82 2010 11.54 10.19 6.77 10.56 9.83 2011 11.72 10.24 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2013

  12. SAS Output

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

    1. Electric Power Industry - Electricity Purchases, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2005 2,760,043 3,250,298 12,201 69,744 6,092,285 2006 2,605,315 2,793,288 26,628 77,353 5,502,584 2007 2,504,002 2,805,833 24,942 76,646 5,411,422 2008 2,483,927 3,024,730 25,431 78,693 5,612,781 2009 2,364,648 2,564,407 27,922 71,669 5,028,647 2010 2,353,086 3,319,211 23,976 73,861 5,770,134

  13. SAS Output

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

    2. Electric Power Industry - Electricity Sales for Resale, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399

  14. SAS Output

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

    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

  15. SAS Output

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

    A. Net Generation by Energy Source: Total (All Sectors), 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

  16. SAS Output

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

    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

  17. SAS Output

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

    A. Net Generation by Energy Source: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities 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 Annual Totals 2004 1,513,641 62,196 11,498 199,662 374 475,682 245,546 6 3,686 -7,526 467 2,505,231 2005 1,484,855 58,572 11,150 238,204 10 436,296 245,553 16 4,930

  18. SAS Output

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

    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

  19. SAS Output

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

    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

  20. SAS Output

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

    B. Net Generation from Renewable Sources: Commercial 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

  1. SAS Output

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

    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

  2. SAS Output

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

    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

  3. SAS Output

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

    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

  4. SAS Output

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

    7. Utility Scale Facility Net Generation 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 Year 2013

  5. SAS Output

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

    8. Utility Scale Facility Net Generation from Coal 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

  6. SAS Output

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

    0. Utility Scale Facility Net Generation from Petroleum Coke 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

  7. SAS Output

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

    1. Utility Scale Facility Net Generation from Natural Gas 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

  8. SAS Output

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

    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

  9. SAS Output

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

    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

  10. SAS Output

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

    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

  11. SAS Output

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

    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

  12. SAS Output

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

    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

  13. SAS Output

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

    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

  14. SAS Output

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

    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

  15. SAS Output

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

    . 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

  16. SAS Output

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

    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

  17. SAS Output

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

    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

  18. SAS Output

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

    3. Existing Capacity by Energy Source, 2014 (Megawatts) Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1,145 325,831.5 299,094.2 300,699.8 Petroleum 3,573 46,897.8 41,135.4 44,739.7 Natural Gas 5,727 495,120.2 432,150.3 464,784.7 Other Gases 93 2,227.6 1,914.3 1,889.9 Nuclear 99 103,860.4 98,569.3 100,610.3 Hydroelectric Conventional 4,029 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

  19. SAS Output

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

    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

  20. SAS Output

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

    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 --

  1. SAS Output

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

    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

  2. SAS Output

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

    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

  3. SAS Output

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

    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

  4. SAS Output

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

    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

  5. SAS Output

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

    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%

  6. SAS Output

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

    9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 2005 through 2014 Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 4,025.0 1,917.0 1,830.0 999.0 -- -- -- -- 995.0 9,766.0 17,371 2006 3,646.0 1,298.0 2,582.0 806.0 -- -- -- -- 1,081.0 9,411.0 5,044 2007 4,624.0 1,990.0 3,596.0 1,051.0 -- -- -- -- 1,441.0 12,702.0 7,103 2008 5,112.0 1,949.0

  7. SAS Output

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

    0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2004 through 2014 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304

  8. SAS Output

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

    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

  9. SAS Output

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

    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

  10. SAS Output

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

    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