National Library of Energy BETA

Sample records for number floor suite

  1. Roof Savings Calculator Suite

    Energy Science and Technology Software Center

    2013-11-22

    The software options currently supported by the simulation engine can be seen/experienced at www.roofcalc.com. It defaults all values to national averages with options to test a base-case (residential or commercial) building versus a comparison building with inputs for building type, location, building vintage, conditioned area, number of floors, and window-to-wall ratio, cooling system efficiency, type of heating, heating system efficiency, duct location, roof/ceiling insulation level, above-sheathing ventilation, radiant barrier, roof thermal mass, roof solar reflectance,more » roof thermal emittance, utility costs, roof pitch. The Roof Savings Caculator Suite adds utilities and website/web service and the integration of AtticSim with DOE-2.1E, with the end-result being Roof Savings Calculator.« less

  2. Roof Savings Calculator Suite

    SciTech Connect

    New, Joshua R; Garrett, Aaron; Erdem, Ender; Huang, Yu

    2013-11-22

    The software options currently supported by the simulation engine can be seen/experienced at www.roofcalc.com. It defaults all values to national averages with options to test a base-case (residential or commercial) building versus a comparison building with inputs for building type, location, building vintage, conditioned area, number of floors, and window-to-wall ratio, cooling system efficiency, type of heating, heating system efficiency, duct location, roof/ceiling insulation level, above-sheathing ventilation, radiant barrier, roof thermal mass, roof solar reflectance, roof thermal emittance, utility costs, roof pitch. The Roof Savings Caculator Suite adds utilities and website/web service and the integration of AtticSim with DOE-2.1E, with the end-result being Roof Savings Calculator.

  3. Roof Savings Calculator Suite () | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Software: Roof Savings Calculator Suite Citation Details Software Request Title: Roof Savings Calculator Suite The software options currently supported by the simulation engine can be seen/experienced at www.roofcalc.com. It defaults all values to national averages with options to test a base-case (residential or commercial) building versus a comparison building with inputs for building type, location, building vintage, conditioned area, number of floors, and window-to-wall ratio, cooling system

  4. PDock Suite

    Energy Science and Technology Software Center

    2007-03-01

    The PDock suite is a software package for performing molecular docking simulations. PDock was designed to bea modular and extensible software package that interfaces easily with third party codes to quickly evaluate and test different methods for moleuclar docking simulations. Docking calculations start with three dimensional atomistic models of two molecules (usually a protein and small molecule) and predict how they will bind to each other. This problem can be broken down into 2 mainmore » steps: 1) predicting various orientation/conformation combinations (called 'poses') of one molecule to "dock" into the other one and 2) scoring each possible pose. The best scoring pose is predicted to be the biological one. PDock has two main algoritms for performing the first step of docking. The first performs a biased search of poses using its own implementation of the published DOCK algorithm. The second is an evolutionary search algorithm. PDock uses a force-field based scoring scheme with an option of perform a more computationally expensive solvation correction. The PDock suite includes the following programs : PDock (main program); PGrid: for pre-processing input files; ProteinPDock (simplified main ()and input file for special case of protein-protein docking); and CombiPDock (simpliefied main() and input file for special case of combinatorial libraries).« less

  5. Property:Building/FloorAreaResidential | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    BuildingFloorAreaResidential Jump to: navigation, search This is a property of type Number. Floor area for Residential Pages using the property "BuildingFloorAreaResidential"...

  6. Property:Building/FloorAreaHotels | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    BuildingFloorAreaHotels Jump to: navigation, search This is a property of type Number. Floor area for Hotels Pages using the property "BuildingFloorAreaHotels" Showing 1 page...

  7. CNP_TEST_SUITE

    Energy Science and Technology Software Center

    002854MLTPL00 Automated Nuclear Data Test Suite file:///usr/gapps/CNP_src/us/RR/test_suite_cz/cnp_test_suite

  8. STAYS PNNL SUITE

    Energy Science and Technology Software Center

    002851IBMPC00 STAYSL PNNL Suite http://radiochemscieng.pnnl.gov/research_areas/research_area_description.asp?id=283

  9. Property:Building/FloorAreaUnheatedRentedPremises | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaUnheatedRentedPremises Jump to: navigation, search This is a property of type Number. Floor area for Unheated but...

  10. Property:Building/FloorAreaHeatedGarages | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaHeatedGarages Jump to: navigation, search This is a property of type Number. Floor area for Heated garages (> 10 C)...

  11. Property:Building/FloorAreaOffices | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaOffices Jump to: navigation, search This is a property of type Number. Floor area for Offices Pages using the property...

  12. Property:Building/FloorAreaRestaurants | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaRestaurants Jump to: navigation, search This is a property of type Number. Floor area for Restaurants Pages using the...

  13. Property:Building/FloorAreaShops | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaShops Jump to: navigation, search This is a property of type Number. Floor area for Shops Pages using the property...

  14. Property:Building/FloorAreaWarehouses | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaWarehouses Jump to: navigation, search This is a property of type Number. Floor area for Warehouses Pages using the...

  15. Property:Building/FloorAreaOtherRetail | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaOtherRetail Jump to: navigation, search This is a property of type Number. Floor area for Other retail Pages using the...

  16. Property:Building/FloorAreaTheatresConcertHallsCinemas | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaTheatresConcertHallsCinemas Jump to: navigation, search This is a property of type Number. Floor area for Theatres,...

  17. Property:Building/FloorAreaHealthServicesDaytime | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Jump to: navigation, search This is a property of type Number. Floor area for Daytime health services Pages using the property "BuildingFloorAreaHealthServicesDaytime" Showing 4...

  18. Property:Building/FloorAreaSportCenters | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    This is a property of type Number. Floor area for Swimming baths, indoor and outdoor sports centres Pages using the property "BuildingFloorAreaSportCenters" Showing 2 pages...

  19. Real-Time Benchmark Suite

    Energy Science and Technology Software Center

    1992-01-17

    This software provides a portable benchmark suite for real time kernels. It tests the performance of many of the system calls, as well as the interrupt response time and task response time to interrupts. These numbers provide a baseline for comparing various real-time kernels and hardware platforms.

  20. Oracle Management Tool Suite

    Energy Science and Technology Software Center

    2007-06-01

    The Oracle Management Tool Suite is used to automatically manage Oracle based systems. This includes startup and shutdown of databases and application servers as well as backup, space management, workload management and log file management.

  1. From Shop Floor to Top Floor: Best Business Practices in Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Shop Floor to Top Floor: Best Business Practices in Energy Efficiency Jump to: navigation, search Tool Summary LAUNCH TOOL Name: From Shop Floor to Top Floor: Best Business...

  2. STAYSL PNNL Suite

    Energy Science and Technology Software Center

    2013-04-12

    The STAYSL PNNL Suite of software provides a set of tools for working with neutron activation rates measured in a nuclear fission reactor, an accelerator-based neutron source, or any neutron field to determine the neutron flux spectrum through a generalized least-squares approach. This process is referred to as neutron spectral adjustment since the preferred approach is to use measured data to adjust neutron spectra provided by neutron physics calculations. The input data consist of themore » reaction rates based on measured activities, an initial estimate of the neutron flux spectrum, neutron activation cross sections and their associated uncertainties (covariances), and relevant correction factors. The output consists of the adjusted neutron flux spectrum and associated covariance matrix, which is useful for neutron dosimetry and radiation damage calculations. The software suite consists of the STAYSL PNNL, SHIELD, BCF, and NJpp Fortran codes and the SigPhi Calculator spreadsheet tool. In addition, the development of this software suite and associated data libraries used the third-party NJOY99 Fortran code (http://t2.lanl.gov/nis/codes/njoy99/). The NJOY99 and NJpp codes are used to assemble cross section and covariance input data libraries (for both SHIELD and STAYSL PNNL) from the International Reactor Dosimetry File of 2002 (IRDF-2002; http://www-nds.iaea.org/irdf2002/) developed by the Nuclear Data Section of the International Atomic Energy Agency (Vienna, Austria). The BCF, SigPhi Calculator, and SHIELD software tools are used to calculate corrected activation rates and neutron self-shielding correction factors, which are inputs to the STAYSL PNNL code.« less

  3. Clementine sensor suite

    SciTech Connect

    Ledebuhr, A.G.

    1994-11-15

    LLNL designed and built the suite of six miniaturized light-weight space-qualified sensors utilized in the Clementine mission. A major goal of the Clementine program was to demonstrate technologies originally developed for Ballistic Missile Defense Organization Programs. These sensors were modified to gather data from the moon. This overview presents each of these sensors and some preliminary on-orbit performance estimates. The basic subsystems of these sensors include optical baffles to reject off-axis stray light, light-weight ruggedized optical systems, filter wheel assemblies, radiation tolerant focal plane arrays, radiation hardened control and readout electronics and low mass and power mechanical cryogenic coolers for the infrared sensors. Descriptions of each sensor type are given along with design specifications, photographs and on-orbit data collected.

  4. Property:Building/FloorAreaSchoolsChildDayCare | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    Property Edit with form History Property:BuildingFloorAreaSchoolsChildDayCare Jump to: navigation, search This is a property of type Number. Floor area for Schools, including...

  5. Geologic Sequestration Software Suite

    Energy Science and Technology Software Center

    2013-11-04

    GS3 is the bundling of the Geological Sequestration Software Suite domain tools with the Velo wiki user interface, rich client interface, and data store. Velo is an application domain independent collaborative user environment for modeling and simulation. Velo has a web browser based wiki interface integrated with a sophisticated content management system supporting data and knowledge management required for large-scale scientific modeling projects. GS3 adds tools and capability specifically in the area of modeling subsurfacemore » reservoirs for the purpose of carbon sequestration. Velo is a core software framework to create scientific domain user environments. Velo is not tied to a specific domain although it provides novel capability needed by many application areas. A well-defined Velo integration layer allows custom applications such as GS3 to leverage the core Velo components to reduce development cost/time and ultimately provide a more capable software product. Compared with previous efforts like ECCE and SALSSA, Velo is a major advancement being a web browser based interface, having a more comprehensive data management architecture, and having intrinsic support for collaboration through the wiki. GS3 adds specific domain tools for looking at site data, developing conceptual and numerical models, building simulation input files, launching and monitoring the progress of those simulations and being able to look at and interpret simulation output.« less

  6. Rooftop Unit Suite: RTU Challenge, RTU Advanced Controls and RTU Smart Monitoring and Diagnostic System

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    RTU Suite of Projects RTU Suite: RTU Challenge, RTU Advanced Controls and RTU Smart Monitoring and Diagnostic System Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Packaged air conditioners and heat pumps (RTUs) are used in about 58% of all cooled commercial buildings, serving about 69% of the cooled commercial building floor space (EIA 2003) - Navigant estimates that packaged

  7. SPOT Suite Transforms Beamline Science

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    SPOT Suite Transforms Beamline Science SPOT Suite Transforms Beamline Science SPOT Suite brings advanced algorithms, high performance computing and data management to the masses August 18, 2014 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov als.jpg Advanced Light Source (ALS) at Berkeley Lab (Photo by Roy Kaltschmidt) Some mysteries of science can only be explained on a nanometer scale -even smaller than a single strand of human DNA, which is about 2.5 nanometers wide. At this scale, scientists

  8. SPOT Suite Transforms Beamline Science

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... One of the first things the SPOT Suite collaboration did was set up data transfer nodes ... at this beamline from anywhere in the world, provided they have Internet access. ...

  9. DC Pro Software Tool Suite

    SciTech Connect

    2009-04-01

    This fact sheet describes how DOE's Data Center Energy Profiler (DC Pro) Software Tool Suite and other resources can help U.S. companies identify ways to improve the efficiency of their data centers.

  10. Low floor mass transit vehicle

    DOEpatents

    Emmons, J. Bruce; Blessing, Leonard J.

    2004-02-03

    A mass transit vehicle includes a frame structure that provides an efficient and economical approach to providing a low floor bus. The inventive frame includes a stiff roof panel and a stiff floor panel. A plurality of generally vertical pillars extend between the roof and floor panels. A unique bracket arrangement is disclosed for connecting the pillars to the panels. Side panels are secured to the pillars and carry the shear stresses on the frame. A unique seating assembly that can be advantageously incorporated into the vehicle taking advantage of the load distributing features of the inventive frame is also disclosed.

  11. Livermore Compiler Analysis Loop Suite

    Energy Science and Technology Software Center

    2013-03-01

    LCALS is designed to evaluate compiler optimizations and performance of a variety of loop kernels and loop traversal software constructs. Some of the loop kernels are pulled directly from "Livermore Loops Coded in C", developed at LLNL (see item 11 below for details of earlier code versions). The older suites were used to evaluate floating-point performances of hardware platforms prior to porting larger application codes. The LCALS suite is geared toward assissing C++ compiler optimizationsmore » and platform performance related to SIMD vectorization, OpenMP threading, and advanced C++ language features. LCALS contains 20 of 24 loop kernels from the older Livermore Loop suites, plus various others representative of loops found in current production appkication codes at LLNL. The latter loops emphasize more diverse loop constructs and data access patterns than the others, such as multi-dimensional difference stencils. The loops are included in a configurable framework, which allows control of compilation, loop sampling for execution timing, which loops are run and their lengths. It generates timing statistics for analysis and comparing variants of individual loops. Also, it is easy to add loops to the suite as desired.« less

  12. Data-Intensive Benchmarking Suite

    Energy Science and Technology Software Center

    2008-11-26

    The Data-Intensive Benchmark Suite is a set of programs written for the study of data-or storage-intensive science and engineering problems, The benchmark sets cover: general graph searching (basic and Hadoop Map/Reduce breadth-first search), genome sequence searching, HTTP request classification (basic and Hadoop Map/Reduce), low-level data communication, and storage device micro-beachmarking

  13. Mojo Application Monitoring Tool Suite

    Energy Science and Technology Software Center

    2009-12-11

    Mojo is a software tool suite that can be used to monitor the progress of compute jobs on Linux Clusters and other high-performance computing platforms.Mojo is designed to allow system administrators to monitor the health and progress of computing jobs, and to allow users to view the progress and status of their own jobs. The facilities provided include the ability to notify users of job “hangs”, and to take an automated action (e.g killing themore » job) when something goes wrong. These operations can lead to a more efficient use of scarce resources.« less

  14. 120 years of U.S. residential housing stock and floor space

    SciTech Connect

    Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.; Zhou, Wei -Xing

    2015-08-11

    Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO₂ emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million square feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.

  15. Property:Building/FloorAreaHealthServices24hr | Open Energy Informatio...

    OpenEI (Open Energy Information) [EERE & EIA]

    Jump to: navigation, search This is a property of type Number. Floor area for 24-hour health services Retrieved from "http:en.openei.orgwindex.php?titleProperty:Building...

  16. Contract carriage battles fought in antitrust suits

    SciTech Connect

    Hume, M.

    1984-11-12

    Antitrust may be the approach natural gas end users need to gain access to gas transmission when pipelines or utilities allegedly resist carriage. Two pending suits could help ease the way for those who have trouble negotiating contract carriage of their self-help gas, and could help set precedents in similar antitrust suits. The cases involve a Colorade brick company's suit against Colorado Interstate Gas Co. and the State of Illinois' suit against Panhandle Eaton Pipeline Co. The issue is whether pipeline companies violate antitrust laws by refusing to carry fuel in competition with their own sales.

  17. CXD 4600, 9103 Second Floor Refurbishment

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    9103 Second Floor Refurbishment (4600) Y-12 Site Oak Ridge, Anderson County, Tennessee The proposed action include: (1) development of the project baseline, design, and and...

  18. From Shop Floor to Top Floor: Best Business Practices in Energy Efficiency

    Energy.gov [DOE]

    This document is the presentation delivered on the Pew Center on Global Climate Change's report From Shop Floor to Top Floor: Best Business Practices in Energy Efficiency, which describes leading corporate energy efficiency programs.

  19. 120 Years of U.S. Residential Housing Stock and Floor Space

    SciTech Connect

    Pinto de Moura, Maria C.; Smith, Steven J.; Belzer, David B.

    2015-08-11

    Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO2 emissions. Floor space is a major driver of building energy demand. This paper develops a historical time series of total residential floor space for 1891-2010 and examines the role of socio-economic drivers GDP, population and household size on floor space. Using primarily data from the U.S. Census Bureau, we develop new construction and vintage-disaggregated housing stock for three building types, and address various data inconsistency issues. An examination of the long-term relationship of GDP and total residential floor space shows a remarkably constant trend over the period. While population increases five times over the period, a 50% decrease in household size contributes towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. Total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years.

  20. NREL: Energy Storage - Battery Lifetime Analysis and Simulation Tool Suite

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Battery Lifetime Analysis and Simulation Tool Suite Lithium-ion (Li-ion) batteries used in EVs and stationary energy storage applications must be optimized to justify their high upfront costs. Given that batteries degrade with use and storage, strategies for optimization must factor in many years of use with a number of variables, including: Temperature State-of-charge histories Electricity current levels Cycle depth and frequency. These factors can all affect rates of battery degradation,

  1. Floor Support | Stanford Synchrotron Radiation Lightsource

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Floor Support Service Responsible Person BLDG Extension (650) 926-XXXX Beam Status Duty Operator 120 926-2326 (BEAM) Duty Operator Cell Duty Operator 120 926-4040 User ProgramBeam...

  2. 120 years of U.S. residential housing stock and floor space

    DOE PAGES [OSTI]

    Moura, Maria Cecilia P.; Smith, Steven J.; Belzer, David B.; Zhou, Wei -Xing

    2015-08-11

    Residential buildings are a key driver of energy consumption and also impact transportation and land-use. Energy consumption in the residential sector accounts for one-fifth of total U.S. energy consumption and energy-related CO₂ emissions, with floor space a major driver of building energy demands. In this work a consistent, vintage-disaggregated, annual long-term series of U.S. housing stock and residential floor space for 1891–2010 is presented. An attempt was made to minimize the effects of the incompleteness and inconsistencies present in the national housing survey data. Over the 1891–2010 period, floor space increased almost tenfold, from approximately 24,700 to 235,150 million squaremore » feet, corresponding to a doubling of floor space per capita from approximately 400 to 800 square feet. While population increased five times over the period, a 50% decrease in household size contributed towards a tenfold increase in the number of housing units and floor space, while average floor space per unit remains surprisingly constant, as a result of housing retirement dynamics. In the last 30 years, however, these trends appear to be changing, as household size shows signs of leveling off, or even increasing again, while average floor space per unit has been increasing. GDP and total floor space show a remarkably constant growth trend over the period and total residential sector primary energy consumption and floor space show a similar growth trend over the last 60 years, decoupling only within the last decade.« less

  3. Introduction to the HPC Challenge Benchmark Suite

    SciTech Connect

    Luszczek, Piotr; Dongarra, Jack J.; Koester, David; Rabenseifner,Rolf; Lucas, Bob; Kepner, Jeremy; McCalpin, John; Bailey, David; Takahashi, Daisuke

    2005-04-25

    The HPC Challenge benchmark suite has been released by the DARPA HPCS program to help define the performance boundaries of future Petascale computing systems. HPC Challenge is a suite of tests that examine the performance of HPC architectures using kernels with memory access patterns more challenging than those of the High Performance Linpack (HPL) benchmark used in the Top500 list. Thus, the suite is designed to augment the Top500 list, providing benchmarks that bound the performance of many real applications as a function of memory access characteristics e.g., spatial and temporal locality, and providing a framework for including additional tests. In particular, the suite is composed of several well known computational kernels (STREAM, HPL, matrix multiply--DGEMM, parallel matrix transpose--PTRANS, FFT, RandomAccess, and bandwidth/latency tests--b{sub eff}) that attempt to span high and low spatial and temporal locality space. By design, the HPC Challenge tests are scalable with the size of data sets being a function of the largest HPL matrix for the tested system.

  4. Alcoa: C-Suite Participation in Energy Efficiency Increases Accountabi...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Alcoa: C-Suite Participation in Energy Efficiency Increases Accountability and Staff Engagement Throughout the Organization Alcoa: C-Suite Participation in Energy Efficiency ...

  5. The coyote universe III: simulation suite and precision emulator...

    Office of Scientific and Technical Information (OSTI)

    simulation suite and precision emulator for the nonlinear matter power spectrum Citation Details In-Document Search Title: The coyote universe III: simulation suite and ...

  6. The LLNL MPI_Tool Suite

    Energy Science and Technology Software Center

    2013-10-25

    MPI_T is an interface for tools introduced in the 3.0 version of MPI. The interface provides mechanisms for tools to access and set performance and control variables that are exposed by an MPI implementation. We have developed an MPI_T tool suite to provide a first set of tools exploiting the new interface and to get tool writers started on the path to more sophisticated support.

  7. Breaking the silos: The art documentation suite

    SciTech Connect

    Kutschke, Robert K.

    2015-12-23

    The art event-processing framework is used by almost all new experiments at Fermilab, and by several outside of Fermilab. All use art as an external product in the same sense that the compiler, ROOT, Geant4, CLHEP and boost are external products. The art team has embarked on a campaign to document art and develop training materials for new users. Many new users of art have little or no knowledge of C++, software engineering, build systems or the many external packages used by art or their experiments, such as ROOT, CLHEP, HEPPDT, and boost. To effectively teach art requires that the training materials include appropriate introductions to these topics as they are encountered. Experience has shown that simply referring readers to the existing native documentation does not work, too often a simple idea that they need to understand is described in a context that presumes prerequisites that are unimportant for a beginning user of art. There is the additional complication that the training materials must be presented in a way that does not presume knowledge of any of the experiments using art. Finally, new users of art arrive at random times throughout the year and the training materials must allow them to start to learn art at any time. This presentation will explain the strategies adopted by the art team to develop a documentation suite that complies with these boundary conditions. It will also show the present status of the documentation suite, including feedback the art team has received from pilot users.

  8. Ocean floor mounting of wave energy converters

    DOEpatents

    Siegel, Stefan G

    2015-01-20

    A system for mounting a set of wave energy converters in the ocean includes a pole attached to a floor of an ocean and a slider mounted on the pole in a manner that permits the slider to move vertically along the pole and rotate about the pole. The wave energy converters can then be mounted on the slider to allow adjustment of the depth and orientation of the wave energy converters.

  9. Specification for the VERA Depletion Benchmark Suite

    SciTech Connect

    Kim, Kang Seog

    2015-12-17

    CASL-X-2015-1014-000 iii Consortium for Advanced Simulation of LWRs EXECUTIVE SUMMARY The CASL neutronics simulator MPACT is under development for the neutronics and T-H coupled simulation for the pressurized water reactor. MPACT includes the ORIGEN-API and internal depletion module to perform depletion calculations based upon neutron-material reaction and radioactive decay. It is a challenge to validate the depletion capability because of the insufficient measured data. One of the detoured methods to validate it is to perform a code-to-code comparison for benchmark problems. In this study a depletion benchmark suite has been developed and a detailed guideline has been provided to obtain meaningful computational outcomes which can be used in the validation of the MPACT depletion capability.

  10. STAYSL PNNL Suite of Software Tools.

    Energy Science and Technology Software Center

    2013-07-19

    Version: 00 The STAYSL PNNL software suite provides a set of tools for working with neutron activation rates measured in a nuclear fission reactor, an accelerator-based neutron source, or any neutron field to determine the neutron flux spectrum through a generalized least-squares approach. This process is referred to as neutron spectral adjustment since the preferred approach is to use measured data to adjust neutron spectra provided by neutron physics calculations. The input data consist ofmore » the reaction rates based on measured activities, an initial estimate of the neutron flux spectrum, neutron activation cross sections and their associated uncertainties (covariances), and relevant correction factors. The output consists of the adjusted neutron flux spectrum and associated covariance matrix, which is useful for neutron dosimetry and radiation damage calculations.« less

  11. Breaking the silos: The art documentation suite

    DOE PAGES [OSTI]

    Kutschke, Robert K.

    2015-12-23

    The art event-processing framework is used by almost all new experiments at Fermilab, and by several outside of Fermilab. All use art as an external product in the same sense that the compiler, ROOT, Geant4, CLHEP and boost are external products. The art team has embarked on a campaign to document art and develop training materials for new users. Many new users of art have little or no knowledge of C++, software engineering, build systems or the many external packages used by art or their experiments, such as ROOT, CLHEP, HEPPDT, and boost. To effectively teach art requires that themore » training materials include appropriate introductions to these topics as they are encountered. Experience has shown that simply referring readers to the existing native documentation does not work, too often a simple idea that they need to understand is described in a context that presumes prerequisites that are unimportant for a beginning user of art. There is the additional complication that the training materials must be presented in a way that does not presume knowledge of any of the experiments using art. Finally, new users of art arrive at random times throughout the year and the training materials must allow them to start to learn art at any time. This presentation will explain the strategies adopted by the art team to develop a documentation suite that complies with these boundary conditions. It will also show the present status of the documentation suite, including feedback the art team has received from pilot users.« less

  12. Rooftop Unit Suite: RTU Challenge, RTU Advanced Controls and...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    and RTU Smart Monitoring and Diagnostic System - 2013 BTO Peer Review Rooftop Unit Suite: RTU Challenge, RTU Advanced Controls and RTU Smart Monitoring and Diagnostic ...

  13. Suite of Cellulase Enzyme Technologies for Biomass Conversion...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Biomass and Biofuels Biomass and Biofuels Find More Like This Return to Search Suite of Cellulase Enzyme Technologies for Biomass Conversion National Renewable Energy Laboratory...

  14. The MCNP6 Analytic Criticality Benchmark Suite (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: The MCNP6 Analytic Criticality Benchmark Suite Authors: Brown, Forrest B. 1 + Show Author Affiliations Los Alamos National Laboratory ...

  15. Request Number:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1074438 Name: Gayle Cooper Organization: nla Address: _ Country: United States Phone Number: Fax Number: nla E-mail: . ~===--------- Reasonably Describe Records Description: Information pertaining to the Department of Energy's cost estimate for reinstating pension benefit service years to the Enterprise Company (ENCO) employees who are active plan participants in the Hanford Site Pension Plan. This cost estimate was an outcome of the DOE's Worker Town Hall Meetings held on September 17-18, 2009.

  16. Exhibit Hall Floor Plan & Hours | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Exhibit Hall Floor Plan & Hours Exhibit Hall Floor Plan & Hours Exhibit Hall Floor Plan & Hours Exhibitor Move-in Hours Tuesday, May 16 9:00 am - 5:00 pm Wednesday, May 17 7:00 am - Noon Exhibit Hall Hours Wednesday, May 17 Opens: Noon - 3:45 pm (Lunch will be served) Closes: 3:45 pm - 5:00 pm) Reopens: 5:00 pm - 7:00 pm (Welcome Reception) Thursday, May 18 Opens: 7:00 am - Noon (Breakfast will be served) Closes: Noon (Lunch will be served) Exhibitor Move-out Hours Thursday, May 18

  17. Savings Project: Insulate and Air Seal Floors Over Unconditioned Garages |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy and Air Seal Floors Over Unconditioned Garages Savings Project: Insulate and Air Seal Floors Over Unconditioned Garages Addthis Project Level Easy Energy Savings Depend on energy cost, R-value increase, and airtightness of newly insulated floor compared to existing. Time to Complete 4-8 hours Overall Cost $0.60 to $1.00 PER SQUARE FOOT FOR R-30 BATTS Careful air sealing and insulation between an unconditioned garage and the conditioned space above can increase comfort,

  18. (Document Number)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A TA-53 TOUR FORM/RADIOLOGICAL LOG (Send completed form to MS H831) _____________ _____________________________ _________________________________ Tour Date Purpose of Tour or Tour Title Start Time and Approximate Duration ___________________________ ______________ _______________________ _________________ Tour Point of Contact/Requestor Z# (if applicable) Organization/Phone Number Signature Locations Visited: (Check all that apply, and list any others not shown. Prior approval must be obtained

  19. Full-scale shear tests of embedded floor modules

    SciTech Connect

    Fricke, K.E.; Jones, W.D.; Burdette, E.G.

    1984-01-01

    A floor module used to support a centrifuge machine is a steel framework embedded in a 2-ft (610-mm) thick concrete slab. This steel framework is made up of four cylindrical hollow sockets tied together with four S-beams to form a square pattern. In the event of a centrifuge machine wreck, large forces are transmitted from the machine to the corner sockets (through connecting steel lugs) and to the concrete slab. The floor modules are loaded with a combination of torsion and shear forces in the plane of the floor slab. Precisely how these wreck loads are transmitted to, and reacted by, the floor modules and the surrounding concrete was the scope of a series of full-scale tests performed at the DOE Gas Centrifuge Enrichment Plant (GCEP) located near Piketon, Ohio. This report describes the tests and the results of the data reduction to date.

  20. Property:Building/FloorAreaMiscellaneous | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    the property "BuildingFloorAreaMiscellaneous" Showing 25 pages using this property. S Sweden Building 05K0002 + 360 + Sweden Building 05K0005 + 110 + Sweden Building 05K0013 +...

  1. Repairing Walls & Floors: How To's for the Handy Homeowner

    SciTech Connect

    2006-01-09

    This brochure provides handy homeowners with tips on how to properly repair walls and floors in their homes that sustained damage during a hurricane. This publications is a part of the How To's for the Handy Homeowner Series.

  2. Floor-supply displacement air-conditioning: Laboratory experiments

    SciTech Connect

    Akimoto, Takashi; Nobe, Tatsuo; Tanabe, Shinichi; Kimura, Kenichi

    1999-07-01

    The results of laboratory measurements on the performance of a floor-supply displacement air-conditioning system in comparison to a displacement ventilation system with a side-wall-mounted diffuser and a ceiling-based distribution system are described. Thermal stratification was observed, as there were greater vertical air temperature differences in both of the displacement systems than in the ceiling-based system. The floor-supply displacement air-conditioning system produced a uniformly low air velocity at each measurement height, while a rather high air velocity near the floor was observed for the displacement ventilation system with a sidewall-mounted diffuser. Local mean age of air of the floor-supply displacement air-conditioning system was lower than that of the other systems, especially in the lower part of the room. According to the simulation results, the floor-supply displacement air-conditioning system with outdoor air cooling requires 34% less energy than the conventional air-conditioning system with outdoor air cooling.

  3. DYNA3D/ParaDyn Regression Test Suite Inventory

    SciTech Connect

    Lin, J I

    2011-01-25

    The following table constitutes an initial assessment of feature coverage across the regression test suite used for DYNA3D and ParaDyn. It documents the regression test suite at the time of production release 10.1 in September 2010. The columns of the table represent groupings of functionalities, e.g., material models. Each problem in the test suite is represented by a row in the table. All features exercised by the problem are denoted by a check mark in the corresponding column. The definition of ''feature'' has not been subdivided to its smallest unit of user input, e.g., algorithmic parameters specific to a particular type of contact surface. This represents a judgment to provide code developers and users a reasonable impression of feature coverage without expanding the width of the table by several multiples. All regression testing is run in parallel, typically with eight processors. Many are strictly regression tests acting as a check that the codes continue to produce adequately repeatable results as development unfolds, compilers change and platforms are replaced. A subset of the tests represents true verification problems that have been checked against analytical or other benchmark solutions. Users are welcomed to submit documented problems for inclusion in the test suite, especially if they are heavily exercising, and dependent upon, features that are currently underrepresented.

  4. The Los Alamos suite of relativistic atomic physics codes

    DOE PAGES [OSTI]

    Fontes, C. J.; Zhang, H. L.; Jr, J. Abdallah; Clark, R. E. H.; Kilcrease, D. P.; Colgan, J.; Cunningham, R. T.; Hakel, P.; Magee, N. H.; Sherrill, M. E.

    2015-05-28

    The Los Alamos SuitE of Relativistic (LASER) atomic physics codes is a robust, mature platform that has been used to model highly charged ions in a variety of ways. The suite includes capabilities for calculating data related to fundamental atomic structure, as well as the processes of photoexcitation, electron-impact excitation and ionization, photoionization and autoionization within a consistent framework. These data can be of a basic nature, such as cross sections and collision strengths, which are useful in making predictions that can be compared with experiments to test fundamental theories of highly charged ions, such as quantum electrodynamics. The suitemore » can also be used to generate detailed models of energy levels and rate coefficients, and to apply them in the collisional-radiative modeling of plasmas over a wide range of conditions. Such modeling is useful, for example, in the interpretation of spectra generated by a variety of plasmas. In this work, we provide a brief overview of the capabilities within the Los Alamos relativistic suite along with some examples of its application to the modeling of highly charged ions.« less

  5. Strategy Guideline: Quality Management in Existing Homes - Cantilever Floor Example

    SciTech Connect

    Taggart, J.; Sikora, J.; Wiehagen, J.; Wood, A.

    2011-12-01

    This guideline is designed to highlight the QA process that can be applied to any residential building retrofit activity. The cantilevered floor retrofit detailed in this guideline is included only to provide an actual retrofit example to better illustrate the QA activities being presented.

  6. The RBDMS is a suite of integrated, electron

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    RBDMS is a suite of integrated, electronic data management tools that assist state regulatory agencies in the oversight of oil and natural gas drilling and production operations. It was developed by the Ground Water Protection Council (GWPC)-a national nonprofit organization whose members are state regulatory and resource management agencies dedicated to protecting and conserving ground water-in partnership with the U.S. Department of Energy's (DOE's) Office of Oil and Natural Gas, the National

  7. Waste Assessment Baseline for the IPOC Second Floor, West Wing

    SciTech Connect

    McCord, Samuel A

    2015-04-01

    Following a building-wide waste assessment in September, 2014, and subsequent presentation to Sandia leadership regarding the goal of Zero Waste by 2025, the occupants of the IPOC Second Floor, West Wing contacted the Materials Sustainability and Pollution Prevention (MSP2) team to guide them to Zero Waste in advance of the rest of the site. The occupants are from Center 3600, Public Relations and Communications , and Center 800, Independent Audit, Ethics and Business Conduct . To accomplish this, MSP2 conducted a new limited waste assessment from March 2-6, 2015 to compare the second floor, west wing to the building as a whole. The assessment also serves as a baseline with which to mark improvements in diversion in approximately 6 months.

  8. pcircle - A Suite of Scalable Parallel File System Tools

    Energy Science and Technology Software Center

    2015-10-01

    Most of the software related to file system are written for conventional local file system, they are serialized and can't take advantage of the benefit of a large scale parallel file system. "pcircle" software builds on top of ubiquitous MPI in cluster computing environment and "work-stealing" pattern to provide a scalable, high-performance suite of file system tools. In particular - it implemented parallel data copy and parallel data checksumming, with advanced features such as asyncmore » progress report, checkpoint and restart, as well as integrity checking.« less

  9. pcircle - A Suite of Scalable Parallel File System Tools

    SciTech Connect

    WANG, FEIYI

    2015-10-01

    Most of the software related to file system are written for conventional local file system, they are serialized and can't take advantage of the benefit of a large scale parallel file system. "pcircle" software builds on top of ubiquitous MPI in cluster computing environment and "work-stealing" pattern to provide a scalable, high-performance suite of file system tools. In particular - it implemented parallel data copy and parallel data checksumming, with advanced features such as async progress report, checkpoint and restart, as well as integrity checking.

  10. PHASE CHANGE MATERIALS IN FLOOR TILES FOR THERMAL ENERGY STORAGE

    SciTech Connect

    Douglas C. Hittle

    2002-10-01

    Passive solar systems integrated into residential structures significantly reduce heating energy consumption. Taking advantage of latent heat storage has further increased energy savings. This is accomplished by the incorporation of phase change materials into building materials used in passive applications. Trombe walls, ceilings and floors can all be enhanced with phase change materials. Increasing the thermal storage of floor tile by the addition of encapsulated paraffin wax is the proposed topic of research. Latent heat storage of a phase change material (PCM) is obtained during a change in phase. Typical materials use the latent heat released when the material changes from a liquid to a solid. Paraffin wax and salt hydrates are examples of such materials. Other PCMs that have been recently investigated undergo a phase transition from one solid form to another. During this process they will release heat. These are known as solid-state phase change materials. All have large latent heats, which makes them ideal for passive solar applications. Easy incorporation into various building materials is must for these materials. This proposal will address the advantages and disadvantages of using these materials in floor tile. Prototype tile will be made from a mixture of quartz, binder and phase change material. The thermal and structural properties of the prototype tiles will be tested fully. It is expected that with the addition of the phase change material the structural properties will be compromised to some extent. The ratio of phase change material in the tile will have to be varied to determine the best mixture to provide significant thermal storage, while maintaining structural properties that meet the industry standards for floor tile.

  11. GNEMRE DBTools : a suite of tools for access, maintenance, and manipulation of seismic data.

    SciTech Connect

    Ballard, Sanford; Lewis, Jennifer E.

    2007-09-01

    DBTools is comprised of a suite of applications for manipulating data in a database. While loading data into a database is a relatively simple operation, loading data intelligently is deceptively difficult. Loading data intelligently means: not duplicating information already in the database, associating new information with related information already in the database, and maintaining a mapping of identification numbers in the input data to existing or new identification numbers in the database to prevent conflicts between the input data and the existing data. Most DBTools applications utilize DBUtilLib--a Java library with functionality supporting database, flatfile, and XML data formats. DBUtilLib is written in a completely generic manner. No schema specific information is embedded within the code; all such information comes from external sources. This approach makes the DBTools applications immune to most schema changes such as addition/deletion of columns from a table or changes to the size of a particular data element.

  12. Integration of APECS and VE-Suite for Data Overlay

    SciTech Connect

    McCorkel, Doug; Bivins, Gerrick; Jordan, Terry; Bryden, Mark; Zitney, S.E.; Widmann, John; Osawe, Maxwell

    2008-06-01

    In the design of advanced power generation facilities, process simulation tools are being utilized to model plant behavior and quickly analyze results. While such tools enable investigation of crucial aspects of plant design, typical commercial process simulators still do not explore some plant design information, including high-fidelity data from computational fluid dynamics (CFD) models of complex thermal and fluid flow phenomena, economics data used for policy decisions, operational data after the plant is constructed, and as-built information for use in as-designed models. Software tools must be created that allow disparate sources of information to be integrated for facilitating accurate and effective plant design. At the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL), the Advanced Process Engineering Co-Simulator (APECS) has been developed as an integrated software suite that combines process simulation (e.g., Aspen Plus®) and high-fidelity equipment simulation (e.g., FLUENT®). In this paper, the integration of the high-fidelity CFD data with overall process data in a virtual power simulation environment will be described. More specifically, we will highlight VE-Suite, an open-source virtual engineering (VE) software toolkit, and its support of Aspen Plus® Hierarchy blocks via the VE-AspenUnit.

  13. Integration of APECS and VE-Suite for data overlay

    SciTech Connect

    McCorkel, D.; Bivins, G.; Jordan, T.; Bryden, M.; Zitney, S.; Widmann, J.; Osawe, M.

    2008-01-01

    In the design of advanced power generation facilities, process simulation tools are being utilized to model plant behavior and quickly analyze results. While such tools enable investigation of crucial aspects of plant design, typical commercial process simulators still do not explore some plant design information, including high-fidelity data from computational fluid dynamics (CFD) models of complex thermal and fluid flow phenomena, economics data used for policy decisions, operational data after the plant is constructed, and as-built information for use in as-designed models. Software tools must be created that allow disparate sources of information to be integrated for facilitating accurate and effective plant design. At the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL), the Advanced Process Engineering Co-Simulator (APECS) has been developed as an integrated software suite that combines process simulation (e.g., Aspen Plus®) and high-fidelity equipment simulation (e.g., FLUENT®). In this paper, the integration of the high-fidelity CFD data with overall process data in a virtual power simulation environment will be described. More specifically, we will highlight VE-Suite, an open-source virtual engineering (VE) software toolkit, and its support of Aspen Plus® Hierarchy blocks via the VE-AspenUnit.

  14. Enhanced Verification Test Suite for Physics Simulation Codes

    SciTech Connect

    Kamm, J R; Brock, J S; Brandon, S T; Cotrell, D L; Johnson, B; Knupp, P; Rider, W; Trucano, T; Weirs, V G

    2008-10-10

    This document discusses problems with which to augment, in quantity and in quality, the existing tri-laboratory suite of verification problems used by Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and Sandia National Laboratories (SNL). The purpose of verification analysis is demonstrate whether the numerical results of the discretization algorithms in physics and engineering simulation codes provide correct solutions of the corresponding continuum equations. The key points of this document are: (1) Verification deals with mathematical correctness of the numerical algorithms in a code, while validation deals with physical correctness of a simulation in a regime of interest. This document is about verification. (2) The current seven-problem Tri-Laboratory Verification Test Suite, which has been used for approximately five years at the DOE WP laboratories, is limited. (3) Both the methodology for and technology used in verification analysis have evolved and been improved since the original test suite was proposed. (4) The proposed test problems are in three basic areas: (a) Hydrodynamics; (b) Transport processes; and (c) Dynamic strength-of-materials. (5) For several of the proposed problems we provide a 'strong sense verification benchmark', consisting of (i) a clear mathematical statement of the problem with sufficient information to run a computer simulation, (ii) an explanation of how the code result and benchmark solution are to be evaluated, and (iii) a description of the acceptance criterion for simulation code results. (6) It is proposed that the set of verification test problems with which any particular code be evaluated include some of the problems described in this document. Analysis of the proposed verification test problems constitutes part of a necessary--but not sufficient--step that builds confidence in physics and engineering simulation codes. More complicated test cases, including physics models of greater

  15. CoMD Implementation Suite in Emerging Programming Models

    Energy Science and Technology Software Center

    2014-09-23

    CoMD-Em is a software implementation suite of the CoMD [4] proxy app using different emerging programming models. It is intended to analyze the features and capabilities of novel programming models that could help ensure code and performance portability and scalability across heterogeneous platforms while improving programmer productivity. Another goal is to provide the authors and venders with some meaningful feedback regarding the capabilities and limitations of their models. The actual application is a classical molecularmore » dynamics (MD) simulation using either the Lennard-Jones method (LJ) or the embedded atom method (EAM) for primary particle interaction. The code can be extended to support alternate interaction models. The code is expected ro run on a wide class of heterogeneous hardware configurations like shard/distributed/hybrid memory, GPU's and any other platform supported by the underlying programming model.« less

  16. User antitrust suit alleges utility cabal limits buy-back

    SciTech Connect

    Efron, S.

    1984-10-15

    An antitrust suit against 90 Georgia electric utilities, charging that their monopoly of retail electricity sales should not preclude cogenerators and small power producers from selling surplus power to utilities elsewhere on the network, could set a national precedent allowing cogenerators to shop around for the best buy-back rate. Greensboro Lumber Co. charges that the utilities' refusal to wheel cogenerated power to potential purchasers represents a restraint of trade. The lumber company contends that cogenerators should sell to the wholesale market, where utilities have no state-granted monopoly. Attorneys for the two sides are unsure of the immediate outcome, but predict that antitrust action or threatened action could give cogenerators unfair leverage.

  17. User Guide for the STAYSL PNNL Suite of Software Tools

    SciTech Connect

    Greenwood, Lawrence R.; Johnson, Christian D.

    2013-02-27

    The STAYSL PNNL software suite provides a set of tools for working with neutron activation rates measured in a nuclear fission reactor, an accelerator-based neutron source, or any neutron field to determine the neutron flux spectrum through a generalized least-squares approach. This process is referred to as neutron spectral adjustment since the preferred approach is to use measured data to adjust neutron spectra provided by neutron physics calculations. The input data consist of the reaction rates based on measured activities, an initial estimate of the neutron flux spectrum, neutron activation cross sections and their associated uncertainties (covariances), and relevant correction factors. The output consists of the adjusted neutron flux spectrum and associated covariance matrix, which is useful for neutron dosimetry and radiation damage calculations.

  18. LLW Notes, Volume 12, Number 7

    SciTech Connect

    Norris, C.; Brown, H.; Gedden, R.; Lovinger, T.; Scheele, L.; Shaker, M.A.

    1997-09-01

    Contents include articles entitled: House votes 309 to 107 to approve Texas compact; Nebraska governor hosts LLRW meeting; Southeast Compact considers funding proposal; Chem-Nuclear explores options re SC revenue requirements; Legislation sets revenue requirements for Barnwell; TCC meets: Supports CA request for technical assistance; DOE approves part of California`s technical assistance request; State legislators discuss LLRW management for OH, IL, NC; Washington governor re Potential New Hanford Role; Federal court enjoins DOE from excluding WCS on new disposal; Appellate court in favor of DOE in surcharge rebates dispute; Hearing set for October in Ward Valley case; court rejects federal motion to dismiss Ward Valley suit; NE sues commission re veto over export authorizations; US Supreme Court dismisses line-item veto challenge; Department of Interior Inspector General investigation requested; USEC privatization plan approved; DOD finalizes LLRW disposal charter; Clinton nominates six DOE appointees; Congress moves FUSRAP to Army Corps of Engineers; Schaefer named interim director of USGS: Nichols leaves EPA: NRC Commissioner Rogers` term expires; NRC: CA ``Well-Quantified`` to license Ward Valley facility; EPA objects to state permit for Louisiana facility; Petitions submitted to EPA oppose Shintech permits; ECOS draft recommendations re Enviro programs; Legislation introduced to prohibit spent fuel shipments to the Goshutes; and HLW legislation ready for floor action.

  19. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis

    2004-03-01

    , Incorporation of capability to map the bottom location of the VLA, Improvements in timing issues for data recording. (2) Sea Floor Probe: The Sea Floor Probe and its delivery system, the Multipurpose sled have been completed; The probe has been modified to penetrate the <1m blanket of hemipelagic ooze at the water/sea floor interface to provide the necessary coupling of the accelerometer with the denser underlying sediments. (3) Electromagnetic bubble detector and counter: Initial tests performed with standard conductivity sensors detected nonconductive objects as small as .6mm, a very encouraging result, Components for the prototype are being assembled, including a dedicated microcomputer to control power, readout and logging of the data, all at an acceptable speed. (4) Acoustic Systems for Monitoring Gas Hydrates: Video recordings of bubbles emitted from a seep in Mississippi Canyon have been made from a submersible dive and the bubbles analyzed with respect to their size, number, and rise rate; these measurements will be used to determine the parameters to build the system capable of measuring gas escaping at the site of the monitoring station; A scattering system and bubble-producing device, being assembled at USM, will be tested in the next two months, and the results compared to a physical scattering model. (5) Mid-Infrared Sensor for Continuous Methane Monitoring: Progress has been made toward minimizing system maintenance through increased capacity and operational longevity, Miniaturization of many components of the sensor systems has been completed, A software package has been designed especially for the MIR sensor data evaluation, Custom electronics have been developed that reduce power consumption and, therefore, increase the length of time the system can remain operational. (6) Seismo-acoustic characterization of sea floor properties and processes at the hydrate monitoring station. (7) Adaptation of the acoustic-logging device, developed as part of the European

  20. Verification Test Suite (VERTS) For Rail Gun Applications using ALE3D: 2-D Hydrodynamics & Thermal Cases

    SciTech Connect

    Najjar, F M; Solberg, J; White, D

    2008-04-17

    A verification test suite has been assessed with primary focus on low reynolds number flow of liquid metals. This is representative of the interface between the armature and rail in gun applications. The computational multiphysics framework, ALE3D, is used. The main objective of the current study is to provide guidance and gain confidence in the results obtained with ALE3D. A verification test suite based on 2-D cases is proposed and includes the lid-driven cavity and the Couette flow are investigated. The hydro and thermal fields are assumed to be steady and laminar in nature. Results are compared with analytical solutions and previously published data. Mesh resolution studies are performed along with various models for the equation of state.

  1. CORE (Common Operating Response Environment) Software Technology Suite

    SciTech Connect

    Gelston, Gariann; Rohlfing, Kerrie

    2015-05-26

    Agencies that oversee complex, multi-stakeholder programs need efficient, secure ways to link people and knowledge within and across organizations. The Common Operating Response Environment (CORE), a software suite developed by PNNL researchers does just that. The CORE tool—which is customizable for a multitude of uses—facilitates situational awareness by integrating diverse data streams without the need to reformat them, summarizing that information, and providing users with the information they need to rapidly understand and appropriately respond to situations. It is mobile device-ready, has a straightforward interface for ease of use across organizations and skill sets, and is incredibly configurable to the needs of each specific user, whether they require data summaries for high-level decision makers or tactical maps, operational data, or weather information for responders in the field. Information can be input into CORE and queried in a variety of ways—using customized forms, reports, visuals, or other organizational templates—according to the needs of each user’s organization, teams, and business processes. CORE data forms, for instance, could be accessed and used in real-time to capture information about vessels being inspected for nuclear material.

  2. Statistical Analysis of Tank 5 Floor Sample Results

    SciTech Connect

    Shine, E. P.

    2013-01-31

    Sampling has been completed for the characterization of the residual material on the floor of Tank 5 in the F-Area Tank Farm at the Savannah River Site (SRS), near Aiken, SC. The sampling was performed by Savannah River Remediation (SRR) LLC using a stratified random sampling plan with volume-proportional compositing. The plan consisted of partitioning the residual material on the floor of Tank 5 into three non-overlapping strata: two strata enclosed accumulations, and a third stratum consisted of a thin layer of material outside the regions of the two accumulations. Each of three composite samples was constructed from five primary sample locations of residual material on the floor of Tank 5. Three of the primary samples were obtained from the stratum containing the thin layer of material, and one primary sample was obtained from each of the two strata containing an accumulation. This report documents the statistical analyses of the analytical results for the composite samples. The objective of the analysis is to determine the mean concentrations and upper 95% confidence (UCL95) bounds for the mean concentrations for a set of analytes in the tank residuals. The statistical procedures employed in the analyses were consistent with the Environmental Protection Agency (EPA) technical guidance by Singh and others [2010]. Savannah River National Laboratory (SRNL) measured the sample bulk density, nonvolatile beta, gross alpha, and the radionuclide1, elemental, and chemical concentrations three times for each of the composite samples. The analyte concentration data were partitioned into three separate groups for further analysis: analytes with every measurement above their minimum detectable concentrations (MDCs), analytes with no measurements above their MDCs, and analytes with a mixture of some measurement results above and below their MDCs. The means, standard deviations, and UCL95s were computed for the analytes in the two groups that had at least some measurements

  3. Strategy Guideline: Quality Management in Existing Homes; Cantilever Floor Example

    SciTech Connect

    Taggart, J.; Sikora, J.; Wiehagen, J.; Wood, A.

    2011-12-01

    This guideline is designed to highlight the QA process that can be applied to any residential building retrofit activity. The cantilevered floor retrofit detailed in this guideline is included only to provide an actual retrofit example to better illustrate the QA activities being presented. The goal of existing home high performing remodeling quality management systems (HPR-QMS) is to establish practices and processes that can be used throughout any remodeling project. The research presented in this document provides a comparison of a selected retrofit activity as typically done versus that same retrofit activity approached from an integrated high performance remodeling and quality management perspective. It highlights some key quality management tools and approaches that can be adopted incrementally by a high performance remodeler for this or any high performance retrofit. This example is intended as a template and establishes a methodology that can be used to develop a portfolio of high performance remodeling strategies.

  4. Experimental study on the floor-supply displacement ventilation system

    SciTech Connect

    Akimoto, Takashi; Nobe, Tatsuo; Takebayashi, Yoshihisa

    1995-12-31

    These results are presented from a research project to investigate the effects of a floor-supply displacement ventilation system with practical indoor heat loads. The experiments were performed in an experimental chamber (35.2 m{sup 2}) located in a controlled environment chamber. Temperature distributions were measured at seven heights throughout the experimental chamber for each test condition. Data were analyzed to observe thermal stratification as affected by lighting, occupants, and heat loads (personal computers), and its disruption caused by walking and change of air volume. In addition, airflow characteristics and ventilation efficiencies were investigated using a smoke machine, tobacco smoke, dust for industrial testing, and a tracer gas (CO{sub 2}) step-up procedure.

  5. Number | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Property:NumOfPlants Property:NumProdWells Property:NumRepWells Property:Number of Color Cameras Property:Number of Devices Deployed Property:Number of Plants included in...

  6. From Hydrogen Fuel Cells to High-Altitude-Pilot Protection Suits...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    From Hydrogen Fuel Cells to High-Altitude-Pilot Protection Suits- Mound Science and Energy Museum Programs Cover a Wide Range of Topics From Hydrogen Fuel Cells to ...

  7. NSR Key Number Retrieval

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NSR Key Number Retrieval Pease enter key in the box Submit

  8. Saran-Chloropel plastic suit worker dose rates from airborne tritium exposure - first exposure hour

    SciTech Connect

    Edwards, T.

    1993-04-20

    Radiological Engineering was requested to develop Tritium Stay Time Chart dose rates for the 9 mil Saran-Chloropel (CPE) plastic suit for a period of one hour or less. Assumptions utilized in previous calculations were revised to better address the first hour of exposure in the suit for emergency situations.

  9. Classification and storage of wastewater from floor finish removal operations

    SciTech Connect

    Hunt, C.E.

    1996-05-01

    This study evaluates the wastewater generated from hard surface floor finish removal operations at Lawrence Livermore Laboratory in order to determine if this wastewater is a hazardous waste, either by statistical evaluation, or other measurable regulatory guidelines established in California Regulations. This research also comparatively evaluates the 55 gallon drum and other portable tanks, all less than 1,000 gallons in size in order to determine which is most effective for the management of this waste stream at Lawrence Livermore Laboratory. The statistical methods in SW-846 were found to be scientifically questionable in their application to hazardous waste determination. In this statistical evaluation, the different data transformations discussed in the regulatory guidance document were applied along with the log transformation to the population of 18 samples from 55 gallon drums. Although this statistical evaluation proved awkward in its application, once the data is collected and organized on a spreadsheet this statistical analysis can be an effective tool which can aid the environmental manager in the hazardous waste classification process.

  10. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis

    2005-08-01

    energy supply and normal functioning of the pressure compensated battery even following recharge after the first deployment, (H) Survival of the acoustic modem following both deployments though it was found to have developed a slow leak through the transducer following the second deployment due, presumably, to deployment in excess of 300m beyond its rating. (2) Progress on the Sea Floor Probe: (A) The Sea Floor Probe and its delivery system, the Multipurpose sled have been completed, (B) The probe has been modified to penetrate the <1m blanket of hemipelagic ooze at the water/sea floor interface to provide the necessary coupling of the accelerometer with the denser underlying sediments, (C) The MPS has been adapted to serve as an energy source for both p- and s-wave studies at the station as well as to deploy the horizontal line arrays and the SFP. (3) Progress on the Electromagnetic Bubble Detector and Counter: (A) Components for the prototype have been assembled, including a dedicated microcomputer to control power, readout and logging of the data, all at an acceptable speed, (B) The prototype has been constructed and preliminary data collected, (C) The construction of the field system is underway. (4) Progress on the Acoustic Systems for Monitoring Gas Hydrates: (A) Video recordings of bubbles emitted from a seep in Mississippi Canyon have been made from a submersible dive and the bubbles analyzed with respect to their size, number, and rise rate. These measurements have been used to determine the parameters to build the system capable of measuring gas escaping at the site of the monitoring station, (B) Laboratory tests performed using the project prototype have produced a conductivity data set that is being used to refine parameters of the field model. (5) Progress on the Mid-Infrared Sensor for Continuous Methane Monitoring: (A) Preliminary designs of mounting pieces for electrical components of ''sphereIR'' have been completed using AutoCAD software, (B) The

  11. Big Numbers | Jefferson Lab

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Big Numbers Big Numbers May 16, 2011 This article has some numbers in it. In principle, numbers are just language, like English or Japanese. Nevertheless, it is true that not everyone is comfortable or facile with numbers and may be turned off by too many of them. To those people, I apologize that this article pays less attention to maximizing the readership than some I do. But sometimes it's just appropriate to indulge one's self, so here goes. When we discuss the performance of some piece of

  12. Florida Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Florida Natural Gas Number of Oil Wells (Number of ... Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Florida ...

  13. Staggered-grid finite-difference acoustic modeling with the Time-Domain Atmospheric Acoustic Propagation Suite (TDAAPS).

    SciTech Connect

    Aldridge, David Franklin; Collier, Sandra L.; Marlin, David H.; Ostashev, Vladimir E.; Symons, Neill Phillip; Wilson, D. Keith

    2005-05-01

    This document is intended to serve as a users guide for the time-domain atmospheric acoustic propagation suite (TDAAPS) program developed as part of the Department of Defense High-Performance Modernization Office (HPCMP) Common High-Performance Computing Scalable Software Initiative (CHSSI). TDAAPS performs staggered-grid finite-difference modeling of the acoustic velocity-pressure system with the incorporation of spatially inhomogeneous winds. Wherever practical the control structure of the codes are written in C++ using an object oriented design. Sections of code where a large number of calculations are required are written in C or F77 in order to enable better compiler optimization of these sections. The TDAAPS program conforms to a UNIX style calling interface. Most of the actions of the codes are controlled by adding flags to the invoking command line. This document presents a large number of examples and provides new users with the necessary background to perform acoustic modeling with TDAAPS.

  14. SNR Denton US LLP 1301 K Street, NW Suite 600, East Tower Washington...

    Energy.gov [DOE] (indexed site)

    SNR Denton US LLP 1301 K Street, NW Suite 600, East Tower Washington, DC 20005-3364 USA Thomas C. Jensen Partner thomas.jensen@snrdenton.com D +1 202 408 3956 M 703 304 5211 T +1 ...

  15. C/O HELP PLLC, 750 SEVENTEETH STREET N.W. SUITE 900 Washington...

    Energy.gov [DOE] (indexed site)

    WIRES Husch Blackwell LLP Hoecker Energy Law & Policy 750 Seventeenth St., N.W. Suite ... J. Hoecker Counsel to WIRES Husch Blackwell LLP Hoecker Energy Law & Policy 750 17th St. ...

  16. DC Pro Software Tool Suite, Data Center Fact Sheet, Industrial Technologies Program

    SciTech Connect

    Not Available

    2009-04-01

    This fact sheet describes how DOE's Data Center Energy Profiler (DC Pro) Software Tool Suite and other resources can help U.S. companies identify ways to improve the efficiency of their data centers.

  17. Browser Testing Suite for Websites Outside of the Energy.gov Drupal

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Environment | Department of Energy Energy.gov Content Management System » Quality Assurance Checklists » Browser Testing Suite for Websites Outside of the Energy.gov Drupal Environment Browser Testing Suite for Websites Outside of the Energy.gov Drupal Environment When developing an EERE website or application outside the Energy.gov Drupal environment, you are required to test its performance on the browsers most used by EERE's visitors: Microsoft Internet Explorer 11 Firefox Google Chrome

  18. Technical bases for plastic suit reduction factors against airborne tritium exposure

    SciTech Connect

    Edwards, T.

    1993-04-19

    Radiological Engineering was requested to provide bases for certain Tritium Stay Time Charts. These charts had evidently been developed by calculating stay times based upon unprotected exposure to HTO concentrations in air and applying correction factors according to the type of plastic suit being worn. No technical justification could be found for results given for 12 mil and 9 mil plastic suits. On the basis of available empirical data, the stay time charts were revised.

  19. Rooftop Unit Suite: RTU Challenge, RTU Advanced Controls and RTU Smart

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Monitoring and Diagnostic System - 2013 BTO Peer Review | Department of Energy Suite: RTU Challenge, RTU Advanced Controls and RTU Smart Monitoring and Diagnostic System - 2013 BTO Peer Review Rooftop Unit Suite: RTU Challenge, RTU Advanced Controls and RTU Smart Monitoring and Diagnostic System - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review commlbldgs16_brambley_040413.pdf (1.52 MB) More Documents &

  20. The Department of Energy Respiratory Acceptance Program for Supplied-Air Suits

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2004-02-04

    The supplied-air suits that protect DOE contractor and federal employees from exposure to harmful atmospheres and radioactive contaminants are not included in the National Institute for Occupational Safety and Health (NIOSH) certification process for respiratory protective devices. Therefore, with the awareness and acknowledgement of NIOSH and the Occupational Safety and Health Administration (OSHA), the Department established a system for acceptance testing of supplied-air suits.

  1. Florida Natural Gas Number of Commercial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Florida Natural Gas Number of Commercial ... Referring Pages: Number of Natural Gas Commercial Consumers Florida Number of Natural Gas ...

  2. Florida Natural Gas Number of Industrial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Florida Natural Gas Number of Industrial ... Referring Pages: Number of Natural Gas Industrial Consumers Florida Number of Natural Gas ...

  3. Florida Natural Gas Number of Residential Consumers (Number of...

    Gasoline and Diesel Fuel Update

    Residential Consumers (Number of Elements) Florida Natural Gas Number of Residential ... Referring Pages: Number of Natural Gas Residential Consumers Florida Number of Natural Gas ...

  4. New York Natural Gas Number of Commercial Consumers (Number of...

    Annual Energy Outlook

    Commercial Consumers (Number of Elements) New York Natural Gas Number of Commercial ... Referring Pages: Number of Natural Gas Commercial Consumers New York Number of Natural Gas ...

  5. New Mexico Natural Gas Number of Commercial Consumers (Number...

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) New Mexico Natural Gas Number of Commercial ... Referring Pages: Number of Natural Gas Commercial Consumers New Mexico Number of Natural ...

  6. North Dakota Natural Gas Number of Commercial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) North Dakota Natural Gas Number of Commercial ... Referring Pages: Number of Natural Gas Commercial Consumers North Dakota Number of Natural ...

  7. Quantum random number generator

    DOEpatents

    Pooser, Raphael C.

    2016-05-10

    A quantum random number generator (QRNG) and a photon generator for a QRNG are provided. The photon generator may be operated in a spontaneous mode below a lasing threshold to emit photons. Photons emitted from the photon generator may have at least one random characteristic, which may be monitored by the QRNG to generate a random number. In one embodiment, the photon generator may include a photon emitter and an amplifier coupled to the photon emitter. The amplifier may enable the photon generator to be used in the QRNG without introducing significant bias in the random number and may enable multiplexing of multiple random numbers. The amplifier may also desensitize the photon generator to fluctuations in power supplied thereto while operating in the spontaneous mode. In one embodiment, the photon emitter and amplifier may be a tapered diode amplifier.

  8. Report number codes

    SciTech Connect

    Nelson, R.N.

    1985-05-01

    This publication lists all report number codes processed by the Office of Scientific and Technical Information. The report codes are substantially based on the American National Standards Institute, Standard Technical Report Number (STRN)-Format and Creation Z39.23-1983. The Standard Technical Report Number (STRN) provides one of the primary methods of identifying a specific technical report. The STRN consists of two parts: The report code and the sequential number. The report code identifies the issuing organization, a specific program, or a type of document. The sequential number, which is assigned in sequence by each report issuing entity, is not included in this publication. Part I of this compilation is alphabetized by report codes followed by issuing installations. Part II lists the issuing organization followed by the assigned report code(s). In both Parts I and II, the names of issuing organizations appear for the most part in the form used at the time the reports were issued. However, for some of the more prolific installations which have had name changes, all entries have been merged under the current name.

  9. Dark matter vs. neutrinos: the effect of astrophysical uncertainties and timing information on the neutrino floor

    SciTech Connect

    Davis, Jonathan H.

    2015-03-09

    Future multi-tonne Direct Detection experiments will be sensitive to solar neutrino induced nuclear recoils which form an irreducible background to light Dark Matter searches. Indeed for masses around 6 GeV the spectra of neutrinos and Dark Matter are so similar that experiments are said to run into a neutrino floor, for which sensitivity increases only marginally with exposure past a certain cross section. In this work we show that this floor can be overcome using the different annual modulation expected from solar neutrinos and Dark Matter. Specifically for cross sections below the neutrino floor the DM signal is observable through a phase shift and a smaller amplitude for the time-dependent event rate. This allows the exclusion power to be improved by up to an order of magnitude for large exposures. In addition we demonstrate that, using only spectral information, the neutrino floor exists over a wider mass range than has been previously shown, since the large uncertainties in the Dark Matter velocity distribution make the signal spectrum harder to distinguish from the neutrino background. However for most velocity distributions it can still be surpassed using timing information, and so the neutrino floor is not an absolute limit on the sensitivity of Direct Detection experiments.

  10. Quantum random number generation

    DOE PAGES [OSTI]

    Ma, Xiongfeng; Yuan, Xiao; Cao, Zhu; Zhang, Zhen; Qi, Bing

    2016-06-28

    Here, quantum physics can be exploited to generate true random numbers, which play important roles in many applications, especially in cryptography. Genuine randomness from the measurement of a quantum system reveals the inherent nature of quantumness -- coherence, an important feature that differentiates quantum mechanics from classical physics. The generation of genuine randomness is generally considered impossible with only classical means. Based on the degree of trustworthiness on devices, quantum random number generators (QRNGs) can be grouped into three categories. The first category, practical QRNG, is built on fully trusted and calibrated devices and typically can generate randomness at amore » high speed by properly modeling the devices. The second category is self-testing QRNG, where verifiable randomness can be generated without trusting the actual implementation. The third category, semi-self-testing QRNG, is an intermediate category which provides a tradeoff between the trustworthiness on the device and the random number generation speed.« less

  11. ALARA notes, Number 8

    SciTech Connect

    Khan, T.A.; Baum, J.W.; Beckman, M.C.

    1993-10-01

    This document contains information dealing with the lessons learned from the experience of nuclear plants. In this issue the authors tried to avoid the `tyranny` of numbers and concentrated on the main lessons learned. Topics include: filtration devices for air pollution abatement, crack repair and inspection, and remote handling equipment.

  12. Equation-of-State Test Suite for the DYNA3D Code

    SciTech Connect

    Benjamin, Russell D.

    2015-11-05

    This document describes the creation and implementation of a test suite for the Equationof- State models in the DYNA3D code. A customized input deck has been created for each model, as well as a script that extracts the relevant data from the high-speed edit file created by DYNA3D. Each equation-of-state model is broken apart and individual elements of the model are tested, as well as testing the entire model. The input deck for each model is described and the results of the tests are discussed. The intent of this work is to add this test suite to the validation suite presently used for DYNA3D.

  13. Testing the Floor Scale Designated for Pacific Northwest National Laboratory's UF6 Cylinder Portal Monitor

    SciTech Connect

    Curtis, Michael M.; Weier, Dennis R.

    2009-03-12

    Pacific Northwest National Laboratory (PNNL) obtained a Mettler Toledo floor scale for the purpose of testing it to determine whether it can replace the International Atomic Energy Agency’s (IAEA) cumbersome, hanging load cell. The floor scale is intended for use as a subsystem within PNNL’s nascent UF6 Cylinder Portal Monitor. The particular model was selected for its accuracy, size, and capacity. The intent will be to use it only for 30B cylinders; consequently, testing did not proceed beyond 8,000 lb.

  14. Can an Iron Man Suit Be Made?: Science Behind Superheroes | GE Global

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research Can an Iron Man Suit Be Made?: Science Behind Superheroes Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Can an Iron Man Suit Be Made?: Science Behind Superheroes Rick Arthur 2013.06.17 On Friday, I hosted a live Reddit Q&A on the Science Behind Superheroes along with several other GE researchers,

  15. Fleet-Wide Prognostic and Health Management Suite: Asset Fault Signature Database

    SciTech Connect

    Vivek Agarwal; Nancy J. Lybeck; Randall Bickford; Richard Rusaw

    2015-06-01

    Proactive online monitoring in the nuclear industry is being explored using the Electric Power Research Institute’s Fleet-Wide Prognostic and Health Management (FW-PHM) Suite software. The FW-PHM Suite is a set of web-based diagnostic and prognostic tools and databases that serves as an integrated health monitoring architecture. The FW-PHM Suite has four main modules: (1) Diagnostic Advisor, (2) Asset Fault Signature (AFS) Database, (3) Remaining Useful Life Advisor, and (4) Remaining Useful Life Database. The paper focuses on the AFS Database of the FW-PHM Suite, which is used to catalog asset fault signatures. A fault signature is a structured representation of the information that an expert would use to first detect and then verify the occurrence of a specific type of fault. The fault signatures developed to assess the health status of generator step-up transformers are described in the paper. The developed fault signatures capture this knowledge and implement it in a standardized approach, thereby streamlining the diagnostic and prognostic process. This will support the automation of proactive online monitoring techniques in nuclear power plants to diagnose incipient faults, perform proactive maintenance, and estimate the remaining useful life of assets.

  16. Modular redundant number systems

    SciTech Connect

    1998-05-31

    With the increased use of public key cryptography, faster modular multiplication has become an important cryptographic issue. Almost all public key cryptography, including most elliptic curve systems, use modular multiplication. Modular multiplication, particularly for the large public key modulii, is very slow. Increasing the speed of modular multiplication is almost synonymous with increasing the speed of public key cryptography. There are two parts to modular multiplication: multiplication and modular reduction. Though there are fast methods for multiplying and fast methods for doing modular reduction, they do not mix well. Most fast techniques require integers to be in a special form. These special forms are not related and converting from one form to another is more costly than using the standard techniques. To this date it has been better to use the fast modular reduction technique coupled with standard multiplication. Standard modular reduction is much more costly than standard multiplication. Fast modular reduction (Montgomery`s method) reduces the reduction cost to approximately that of a standard multiply. Of the fast multiplication techniques, the redundant number system technique (RNS) is one of the most popular. It is simple, converting a large convolution (multiply) into many smaller independent ones. Not only do redundant number systems increase speed, but the independent parts allow for parallelization. RNS form implies working modulo another constant. Depending on the relationship between these two constants; reduction OR division may be possible, but not both. This paper describes a new technique using ideas from both Montgomery`s method and RNS. It avoids the formula problem and allows fast reduction and multiplication. Since RNS form is used throughout, it also allows the entire process to be parallelized.

  17. Support of Gulf of Mexico Hydrate Research Consortium: Activities of Support Establishment of a Sea Floor Monitoring Station Project

    SciTech Connect

    J. Robert Woolsey; Thomas McGee; Carol Lutken

    2008-05-31

    The Gulf of Mexico Hydrates Research Consortium (GOM-HRC) was established in 1999 to assemble leaders in gas hydrates research that shared the need for a way to conduct investigations of gas hydrates and their stability zone in the Gulf of Mexico in situ on a more-or-less continuous basis. The primary objective of the group is to design and emplace a remote monitoring station or sea floor observatory (SFO) on the sea floor in the northern Gulf of Mexico, in an area where gas hydrates are known to be present at, or just below, the sea floor and to discover the configuration and composition of the subsurface pathways or 'plumbing' through which fluids migrate into and out of the hydrate stability zone (HSZ) to the sediment-water interface. Monitoring changes in this zone and linking them to coincident and perhaps consequent events at the seafloor and within the water column is the eventual goal of the Consortium. This mission includes investigations of the physical, chemical and biological components of the gas hydrate stability zone - the sea-floor/sediment-water interface, the near-sea-floor water column, and the shallow subsurface sediments. The eventual goal is to monitor changes in the hydrate stability zone over time. Establishment of the Consortium succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among those involved in gas hydrates research. Complementary expertise, both scientific and technical, has been assembled to promote innovative methods and construct necessary instrumentation. Following extensive investigation into candidate sites, Mississippi Canyon 118 (MC118) was chosen by consensus of the Consortium at their fall, 2004, meeting as the site most likely to satisfy all criteria established by the group. Much of the preliminary work preceding the establishment of the site - sensor development and testing, geophysical surveys, and laboratory studies - has been reported in agency

  18. Wyoming Natural Gas Number of Residential Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Wyoming Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  19. Virginia Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Virginia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  20. Utah Natural Gas Number of Industrial Consumers (Number of Elements...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Utah Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  1. Wisconsin Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Wisconsin Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  2. Virginia Natural Gas Number of Commercial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Virginia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  3. Wyoming Natural Gas Number of Industrial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Wyoming Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  4. Utah Natural Gas Number of Residential Consumers (Number of Elements...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Utah Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  5. Vermont Natural Gas Number of Residential Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Vermont Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  6. Utah Natural Gas Number of Commercial Consumers (Number of Elements...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Utah Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  7. Virginia Natural Gas Number of Industrial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Virginia Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  8. West Virginia Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) West Virginia Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  9. Wisconsin Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Wisconsin Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  10. Vermont Natural Gas Number of Commercial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Vermont Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  11. Wyoming Natural Gas Number of Commercial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Wyoming Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  12. West Virginia Natural Gas Number of Commercial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) West Virginia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  13. Washington Natural Gas Number of Commercial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  14. Washington Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  15. Washington Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Washington Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  16. Wisconsin Natural Gas Number of Commercial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Wisconsin Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  17. Vermont Natural Gas Number of Industrial Consumers (Number of...

    Energy Information Administration (EIA) (indexed site)

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  18. West Virginia Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  19. New York Natural Gas Number of Residential Consumers (Number...

    Annual Energy Outlook

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    Gasoline and Diesel Fuel Update

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  1. New Jersey Natural Gas Number of Residential Consumers (Number...

    Gasoline and Diesel Fuel Update

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  2. North Carolina Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  3. North Carolina Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  4. North Dakota Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  5. North Dakota Natural Gas Number of Residential Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) North Dakota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  6. North Carolina Natural Gas Number of Commercial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) North Carolina Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  7. New Hampshire Natural Gas Number of Commercial Consumers (Number...

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) New Hampshire Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  8. New Hampshire Natural Gas Number of Industrial Consumers (Number...

    Gasoline and Diesel Fuel Update

    Industrial Consumers (Number of Elements) New Hampshire Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  9. New Hampshire Natural Gas Number of Residential Consumers (Number...

    Annual Energy Outlook

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  10. New Mexico Natural Gas Number of Industrial Consumers (Number...

    Energy Information Administration (EIA) (indexed site)

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  11. NREL Finds Nanotube Semiconductors Well-suited for PV Systems | PV | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    NREL Finds Nanotube Semiconductors Well-suited for PV Systems April 25, 2016 Researchers at the Energy Department's National Renewable Energy Laboratory (NREL) discovered single-walled carbon nanotube semiconductors could be favorable for photovoltaic systems because they can potentially convert sunlight to electricity or fuels without losing much energy. The research builds on the Nobel Prize-winning work of Rudolph Marcus, who developed a fundamental tenet of physical chemistry that explains

  12. Cloud Properties from Doppler Radar Spectra - a Growing Suite of Information Extraction Algorithms

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    from Doppler Radar Spectra - a Growing Suite of Information Extraction Algorithms Edward Luke 1 , Pavlos Kollias 2 , Matthew Shupe 3 , Karen Johnson 1 , Eugene Clothiaux 4 1. Brookhaven National Laboratory 2. McGill University 3. CIRES/NOAA/ETL 4. Penn State University C F B A E D Lidar Prediction Algorithm Depolarization C F B A E D Backscatter DOPPLER RADAR SPECTRA HYDROMETEOR PHASE CLASSIFICATION MIXED LIQUID SOLID MIXED LIQUID SOLID Shupe Multi-instrument Technique Doppler Radar Spectra

  13. Diverse Fungi Secrete Similar Suite of Decomposition Enzymes | U.S. DOE

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Office of Science (SC) Diverse Fungi Secrete Similar Suite of Decomposition Enzymes Biological and Environmental Research (BER) BER Home About Research Facilities Science Highlights Searchable Archive of BER Highlights External link Benefits of BER Funding Opportunities Biological & Environmental Research Advisory Committee (BERAC) Community Resources Contact Information Biological and Environmental Research U.S. Department of Energy SC-23/Germantown Building 1000 Independence Ave., SW

  14. Towards the Integration of APECS and VE-Suite for Virtual Power Plant Co-Simulation

    SciTech Connect

    Zitney, S.E.; McCorkle, D.; Yang, C.; Jordan, T.; Swensen, D.; Bryden, M.

    2007-05-01

    Process modeling and simulation tools are widely used for the design and operation of advanced power generation systems. These tools enable engineers to solve the critical process systems engineering problems that arise throughout the lifecycle of a power plant, such as designing a new process, troubleshooting a process unit or optimizing operations of the full process. To analyze the impact of complex thermal and fluid flow phenomena on overall power plant performance, the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) has developed the Advanced Process Engineering Co-Simulator (APECS). The APECS system is an integrated software suite that combines process simulation (e.g., Aspen Plus) and high-fidelity equipment simulations such as those based on computational fluid dynamics (CFD), together with advanced analysis capabilities including case studies, sensitivity analysis, stochastic simulation for risk/uncertainty analysis, and multi-objective optimization. In this paper we discuss the initial phases of the integration of the APECS system with the immersive and interactive virtual engineering software, VE-Suite, developed at Iowa State University and Ames Laboratory. VE-Suite uses the ActiveX (OLE Automation) controls in the Aspen Plus process simulator wrapped by the CASI library developed by Reaction Engineering International to run process/CFD co-simulations and query for results. This integration represents a necessary step in the development of virtual power plant co-simulations that will ultimately reduce the time, cost, and technical risk of developing advanced power generation systems.

  15. Defending mining claims and mineral leases in environmental suits against federal land managers

    SciTech Connect

    Twelker, E. )

    1989-01-01

    Suits in the last 4-5 years jeopardize the title of thousands of mining claims and mineral leases. The cases presenting the most striking examples are National Wildlife Federation v. Burford, Connor v. Burford, Sierra Club V. Watt, and Bob Marshall Alliance v. Watt. From the claimants' and lessees' point of view, these decisions granted environmental groups sweeping, though somewhat ill-defined, relief. The challenges by environmental groups are based on statutes designed to bring environmental considerations before federal decision makers. The claimants and lessees are caught in the middle of the exchange between environmentalists and federal agencies. Lawsuits that indirectly challenge leases and claims are unlike environmental challenges to fixed projects such as highways or dams. Those affected often times do not know exactly what is at stake. When the challenge is indirect, unexplored, or partially explored, proper ties have only speculative value and the claimants and lessees are often unwilling or unable to engage in a fight with well-heeled environmental public interest law firms. While the federal government has defended the suits, their interests and those of the claimants and lessees may diverge. In the context of the four cases mentioned above, this paper addresses the rights and remedies of claimants and lessees before, during, and after environmental procedural suits that indirectly challenge federal mining claims and mineral leases.

  16. Three-dimensional modeling of heat transfer from slab floors. Final report

    SciTech Connect

    Bahnfleth, W.P.

    1989-07-01

    Earth-coupled heat-transfer processes have been recognized in recent years as a potential source of significant energy savings in both conventional and earth-sheltered designs, Because of the complexity of the building/soil/atmosphere interaction, however, important aspects of earth-coupled heat transfer are not well understood. There is a particular lack of three-dimensional foundation heat-loss data. In this study, a detailed three-dimensional finite-difference model of a slab floor was used to generate 93 annual simulations in parametric groups focusing on effects of size and shape, soil properties, boundary conditions, climate, insulation, and building shadow. These results indicate that soil thermal conductivity, ground surface conditions, foundation design, and floor shape/size are essential elements of a general change in heat-transfer rate.

  17. Cleaning of the ocean floor near offshore platforms in the Gulf coast

    SciTech Connect

    Fang, C.S.; Smith, S.A. Jr.

    1986-03-01

    For decades in offshore drilling, the drill cuttings were separated from the circulating drilling fluid by the shale shaker and hydrocyclone, and discharged to the ocean. The drilling fluid itself was discharged to the ocean intermittently to maintain its required properties during the drilling process. These discharges contain many environmentally undesirable chemicals, such as hydrocarbons chemical additives and heavy metals. As a result, the ocean floor near some of the offshore platforms in the Gulf of Mexico are covered by contaminated sediment. Ocean current is not as effective in washing out the discarded ocean muds as previously believed. An attempt was made to clean some of the offshore platforms in the Gulf of Mexico. The quantity and characteristics of the drilling discharges are estimated the technology used to clean the ocean floor near platforms is described, and advanced treatments for hydrocarbon removal, chemical oxidation and activated carbon adsorption, are discussed. 8 references.

  18. Two-dimensional model of direct solar slab-on-grade heating floor

    SciTech Connect

    Youcef, L. )

    1991-01-01

    The altering direction implicit (ADI) method is used to solve the two-dimensional heat equation applied to the system described in this paper. The coupling equations between flat-plate collectors, heating floor and ground had been developed. The model also takes into account the solar flux falling on the floor through the south oriented glazed wall. The theoretical results were compared to the experimental data performed in Bassens (southwest of France) during the period of September 1981 to May 1982. It was shown that the model outputs were in good agreement with the measured data. However, some doubts are considered concerning lower boundary conditions. Also is given a simple technique to evaluate the most appropriate initial conditions to drive the computational program developed here. Finally a study of some main parameters was carried out.

  19. Innovative residential floor construction: Structural evaluation of steel joists with pre-formed web openings

    SciTech Connect

    Elhajj, N.R.

    1999-03-01

    Since 1992, the US Department of Housing and Urban Development has sponsored numerous studies to identify, evaluate, and implement innovative structural materials, such as cold-formed steel (CFS), in the residential market. The use of CFS is still very limited, partly because steel is not being effectively integrated into conventional home construction. One of the major barriers to the use of CFS floor joists is the impact it has on placement of large waste drains and ductwork installed in floor systems. This report provides an overview of tests conducted by the NAHB to integrate these systems with CFS. A brief literature review of relevant work followed by a detailed overview of the experimental and analytical approach are also provided. The report recommends adoption of the research findings in residential and commercial applications.

  20. Grand Junction Projects Office Remedial Action Project: Feasibility test of real-time radiation monitoring during removal of surface contamination from concrete floors

    SciTech Connect

    Leino, R.; Corle, S.

    1995-10-01

    This feasibility test was conducted to determine if real-time radiation-monitoring instruments could be mounted on decontamination machines during remediation activities to provide useful and immediate feedback to equipment operators. The U.S. Department of Energy (DOE) sponsored this field test under the Grand Junction Projects Office Remedial Action Project (GJPORAP) to identify a more efficient method to remove radiological contamination from concrete floor surfaces. This test demonstrated that project durations and costs may be reduced by combining radiation-monitoring equipment with decontamination machines. The test also demonstrated that a microprocessor-based instrument such as a radiation monitor can withstand the type of vibration that is characteristic of floor scabblers with no apparent damage. Combining radiation-monitoring equipment with a decontamination machine reduces the time and costs required to decontaminate concrete surfaces. These time and cost savings result from the reduction in the number of interim radiological surveys that must be conducted to complete remediation. Real-time radiation monitoring allows equipment operators to accurately monitor contamination during the decontamination process without support from radiological technicians, which also reduces the project duration and costs. The DOE Grand Junction Projects Office recommends more extensive and rigorous testing of this real-time radiation monitoring to include a variety of surfaces and decontamination machines. As opportunities arise, additional testing will be conducted under GJPORAP.

  1. Towards the Integration of APECS with VE-Suite to Create a Comprehensive Virtual Engineering Environment

    SciTech Connect

    McCorkle, D.; Yang, C.; Jordan, T.; Swensen, D.; Zitney, S.E.; Bryden, M.

    2007-06-01

    Modeling and simulation tools are becoming pervasive in the process engineering practice of designing advanced power generation facilities. These tools enable engineers to explore many what-if scenarios before cutting metal or constructing a pilot scale facility. While such tools enable investigation of crucial plant design aspects, typical commercial process simulation tools such as Aspen Plus®, gPROMS®, and HYSYS® still do not explore some plant design information, including computational fluid dynamics (CFD) models for complex thermal and fluid flow phenomena, economics models for policy decisions, operational data after the plant is constructed, and as-built information for use in as-designed models. Software tools must be created that allow disparate sources of information to be integrated if environments are to be constructed where process simulation information can be accessed. At the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL), the Advanced Process Engineering Co-Simulator (APECS) has been developed as an integrated software suite that combines process simulation (e.g., Aspen Plus) and high-fidelity equipment simulation (e.g., Fluent® CFD), together with advanced analysis capabilities including case studies, sensitivity analysis, stochastic simulation for risk/uncertainty analysis, and multi-objective optimization. In this paper, we discuss the initial phases of integrating APECS with the immersive and interactive virtual engineering software, VE-Suite, developed at Iowa State University and Ames Laboratory. VE-Suite utilizes the ActiveX (OLE Automation) controls in Aspen Plus wrapped by the CASI library developed by Reaction Engineering International to run the process simulation and query for unit operation results. This integration permits any application that uses the VE-Open interface to integrate with APECS co-simulations, enabling construction of the comprehensive virtual engineering environment needed for the

  2. The Effect of State Policy Suites on the Development of Solar Markets

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Effect of State Policy Suites on the Development of Solar Markets D. Steward and E. Doris National Renewable Energy Laboratory Technical Report NREL/TP- 7A40-62506 November 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308

  3. Number

    Office of Legacy Management (LM)

    It is seen that all operations are performed vet, thus eliminating almost entirely a dust exposure hazard. A* Monazite sand is at present derived from India which supplies an ore ...

  4. Tennessee Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Tennessee Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 52 75 NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Tennessee Natural Gas Summ

  5. Texas Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Texas Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 85,030 94,203 96,949 104,205 105,159 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Texas Natural

  6. Pennsylvania Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Pennsylvania Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 7,046 7,627 7,164 8,481 7,557 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Pennsylvania

  7. Louisiana Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Louisiana Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 5,201 5,057 5,078 5,285 4,968 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Louisiana Natural

  8. Michigan Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Michigan Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 510 514 537 584 532 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Michigan Natural Gas Summary

  9. Mississippi Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Mississippi Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 561 618 581 540 501 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Mississippi Natural Gas

  10. Missouri Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Missouri Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 1 1 1 1 NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Missouri Natural Gas Summary

  11. Montana Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Montana Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 1,956 2,147 2,268 2,377 2,277 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Montana Natural Gas

  12. Nebraska Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Nebraska Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 84 73 54 51 51 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Nebraska Natural Gas Summar

  13. Nevada Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Nevada Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 4 4 4 4 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Nevada Natural Gas Summary

  14. Ohio Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Ohio Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 6,775 6,745 7,038 7,257 5,941 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Ohio Natural Gas

  15. Oklahoma Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Oklahoma Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 6,723 7,360 8,744 7,105 8,368 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Oklahoma Natural

  16. Alabama Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Alabama Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 346 367 402 436 414 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Alabama Natural Gas Sum

  17. Alaska Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Alaska Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 2,040 1,981 2,006 2,042 2,096 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Alaska Natural Gas

  18. Arizona Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Arizona Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 1 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Arizona Natural Gas Summary

  19. Arkansas Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Arkansas Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 165 174 218 233 240 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Arkansas Natural Gas

  20. California Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) California Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 25,958 26,061 26,542 26,835 27,075 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) California

  1. Colorado Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Colorado Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 5,963 6,456 6,799 7,771 7,733 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Colorado Natural

  2. Utah Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Utah Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 3,119 3,520 3,946 4,249 3,966 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Utah Natural Gas

  3. Virginia Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Virginia Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 2 1 1 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Virginia Natural Gas Summary

  4. Wyoming Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Wyoming Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 4,430 4,563 4,391 4,538 4,603 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Wyoming Natural Gas

  5. Kentucky Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) Kentucky Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 317 358 340 NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Kentucky Natural Gas Su

  6. Suite of Software Objects for Arbitrary Spatial Partitioning of Modeling Dataset

    Energy Science and Technology Software Center

    1997-04-30

    SpatialDataSet is an abstract superclass for a suite of object classes which associate data structures with specific regions (Cells) or points (PCells) in two or three-dimensional space. The data structure carried by these Cells/PCells are arbitrary in layout, but the same layout is used for every Cell/PCell within the SpatialDataSet. The SpatialDataSet objects are used within ANL''s Dynamic Information Architecture System (DIAS) to carry spatially distributed attributes of terrestrial, aquatic, and atmospheric objects in amore » simulation domain. DIAS is a flexible object based software framework for concurrent, multidisciplinary modeling. The SpatialDataSet allows access to the information carried within them without requiring knowledge of the details of the spatial partitioning of the data on the part of the requesting agent. The suite of SpatialDataSet objects can be used within object based software architectures other than DIAS. SpatialDataSet has many subclasses covering different modes of partitioning two or three dimensional space, including various forms of grids, meshes, networks, patchworks, etc.« less

  7. Suite of Activity-Based Probes for Cellulose-Degrading Enzymes

    SciTech Connect

    Chauvigne-Hines, Lacie M.; Anderson, Lindsey N.; Weaver, Holly M.; Brown, Joseph N.; Koech, Phillip K.; Nicora, Carrie D.; Hofstad, Beth A.; Smith, Richard D.; Wilkins, Michael J.; Callister, Stephen J.; Wright, Aaron T.

    2012-12-19

    Microbial glycoside hydrolases play a dominant role in the biochemical conversion of cellulosic biomass to high-value biofuels. Anaerobic cellulolytic bacteria are capable of producing multicomplex catalytic subunits containing cell-adherent cellulases, hemicellulases, xylanases, and other glycoside hydrolases to facilitate the degradation of highly recalcitrant cellulose and other related plant cell wall polysaccharides. Clostridium thermocellum is a cellulosome producing bacterium that couples rapid reproduction rates to highly efficient degradation of crystalline cellulose. Herein, we have developed and applied a suite of difluoromethylphenyl aglycone, N-halogenated glycosylamine, and 2-deoxy-2-fluoroglycoside activity-based protein profiling (ABPP) probes to the direct labeling of the C. thermocellum cellulosomal secretome. These activity-based probes (ABPs) were synthesized with alkynes to harness the utility and multimodal possibilities of click chemistry, and to increase enzyme active site inclusion for LC-MS analysis. We directly analyzed ABP-labeled and unlabeled global MS data, revealing ABP selectivity for glycoside hydrolase (GH) enzymes in addition to a large collection of integral cellulosome-containing proteins. By identifying reactivity and selectivity profiles for each ABP, we demonstrate our ability to widely profile the functional cellulose degrading machinery of the bacterium. Derivatization of the ABPs, including reactive groups, acetylation of the glycoside binding groups, and mono- and disaccharide binding groups, resulted in considerable variability in protein labeling. Our probe suite is applicable to aerobic and anaerobic cellulose degrading systems, and facilitates a greater understanding of the organismal role associated within biofuel development.

  8. Moving target indicating radar applications in an integrated site security suite

    SciTech Connect

    Appenzeller, R.C. )

    1991-01-01

    The integration of a small, lightweight, low power consumption radar into a site security sensor suite can provide several key advantages in the ability to detect vehicles and personnel over large ground areas. This paper presents rationale for the inclusion of a man-portable Moving Target Indicator (MTI) radar in several security scenarios and outlines the technical specifics of a candidate radar. The Department of Energy (DOE) is currently investigating the effectiveness of a combination of optical sensors in concert with a scanning narrow beam radar at the Nevada Test Site in Mercury, Nevada. Demonstration results from these previous test activities are included herein. Of particular interest is the complimentary nature of this sensor suite where the large field of view achievable with radar allows the optical sensors to be used as pinpoint target classification devices. The inclusion of a radar minimizes operator fatigue caused by watching cameras scanning in azimuth and elevation. Advances in the areas of nuisance alarm rejection and improved range detection against single personnel targets were made in 1990 and this capability is included in the current production version.

  9. Engineering Evaluation Report on K-311-1 Floor Subsidence (2008 Annual Report) at the East Tennessee Technology Park, Oak Ridge, Tennessee

    SciTech Connect

    Knott R.B.

    2008-11-13

    The purpose of this task is to evaluate the effect of floor settlement on building structure, piping, and equipment foundations between column lines 1 and 2 and B and K of Bldg. K-311-1 (see Fig. A-1 in Appendix A) at East Tennessee Technology Park (ETTP), Oak Ridge, Tennessee. Revision 0 of this document covers the 2005 annual inspection. Revision 1 addresses the 2006 annual inspection, Revision 2 addresses the 2007 annual inspection, and Revision 3 covers the 2008 annual inspection, as indicated by the changed report title. A civil survey and visual inspection were performed. Only a representative number of points were measured during the 2008 survey. The exact location of a number of survey points in Table A-1 could not be accurately determined in the 2008 survey since these points had not been spray painted since 2003. The points measured are deemed adequate to support the conclusions of this report. Based on the survey and observations, there has been no appreciable change in the condition of the unit since the 2007 inspection. The subsidence of the floor presents concerns to the building structure due to the possible indeterminate load on the pipe gallery framing. Prior to demolition activities that involve the piping or removal of the equipment, such as vent, purge and drain and foaming, engineering involvement in the planning is necessary. The piping connected to the equipment is under stress, and actions should be implemented to relieve this stress prior to disturbing any of the equipment or associated piping. In addition, the load on the pipe gallery framing needs to be relieved prior to any activities taking place in the pipe gallery. Access to this area and the pipe gallery is not allowed until the stress is released.

  10. Forest floor community metatranscriptomes identify fungal and bacterial responses to N deposition in two maple forests

    SciTech Connect

    Hesse, Cedar N.; Mueller, Rebecca C.; Vuyisich, Momchilo; Gallegos-Graves, La Verne; Gleasner, Cheryl D.; Zak, Donald R.; Kuske, Cheryl R.

    2015-04-23

    Anthropogenic N deposition alters patterns of C and N cycling in temperate forests, where forest floor litter decomposition is a key process mediated by a diverse community of bacteria and fungi. To track forest floor decomposer activity we generated metatranscriptomes that simultaneously surveyed the actively expressed bacterial and eukaryote genes in the forest floor, to compare the impact of N deposition on the decomposers in two natural maple forests in Michigan, USA, where replicate field plots had been amended with N for 16 years. Site and N amendment responses were compared using about 74,000 carbohydrate active enzyme transcript sequences (CAZymes) in each metatranscriptome. Parallel ribosomal RNA (rRNA) surveys of bacterial and fungal biomass and taxonomic composition showed no significant differences in either biomass or OTU richness between the two sites or in response to N. Site and N amendment were not significant variables defining bacterial taxonomic composition, but they were significant for fungal community composition, explaining 17 and 14% of the variability, respectively. The relative abundance of expressed bacterial and fungal CAZymes changed significantly with N amendment in one of the forests, and N-response trends were also identified in the second forest. Although the two ambient forests were similar in community biomass, taxonomic structure and active CAZyme profile, the shifts in active CAZyme profiles in response to N-amendment differed between the sites. One site responded with an over-expression of bacterial CAZymes, and the other site responded with an over-expression of both fungal and different bacterial CAZymes. Both sites showed reduced representation of fungal lignocellulose degrading enzymes in N-amendment plots. The metatranscriptome approach provided a holistic assessment of eukaryote and bacterial gene expression and is applicable to other systems where eukaryotes and bacteria interact.

  11. Forest floor community metatranscriptomes identify fungal and bacterial responses to N deposition in two maple forests

    DOE PAGES [OSTI]

    Hesse, Cedar N.; Mueller, Rebecca C.; Vuyisich, Momchilo; Gallegos-Graves, La Verne; Gleasner, Cheryl D.; Zak, Donald R.; Kuske, Cheryl R.

    2015-04-23

    Anthropogenic N deposition alters patterns of C and N cycling in temperate forests, where forest floor litter decomposition is a key process mediated by a diverse community of bacteria and fungi. To track forest floor decomposer activity we generated metatranscriptomes that simultaneously surveyed the actively expressed bacterial and eukaryote genes in the forest floor, to compare the impact of N deposition on the decomposers in two natural maple forests in Michigan, USA, where replicate field plots had been amended with N for 16 years. Site and N amendment responses were compared using about 74,000 carbohydrate active enzyme transcript sequences (CAZymes)more » in each metatranscriptome. Parallel ribosomal RNA (rRNA) surveys of bacterial and fungal biomass and taxonomic composition showed no significant differences in either biomass or OTU richness between the two sites or in response to N. Site and N amendment were not significant variables defining bacterial taxonomic composition, but they were significant for fungal community composition, explaining 17 and 14% of the variability, respectively. The relative abundance of expressed bacterial and fungal CAZymes changed significantly with N amendment in one of the forests, and N-response trends were also identified in the second forest. Although the two ambient forests were similar in community biomass, taxonomic structure and active CAZyme profile, the shifts in active CAZyme profiles in response to N-amendment differed between the sites. One site responded with an over-expression of bacterial CAZymes, and the other site responded with an over-expression of both fungal and different bacterial CAZymes. Both sites showed reduced representation of fungal lignocellulose degrading enzymes in N-amendment plots. The metatranscriptome approach provided a holistic assessment of eukaryote and bacterial gene expression and is applicable to other systems where eukaryotes and bacteria interact.« less

  12. Maryland Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Maryland Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Maryland Natural Gas Summary

  13. Oregon Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oregon Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Oregon Natural Gas Summary

  14. Alaska Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Alaska Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 10 11 8 1990's 8 8 10 11 11 9 202 7 7 9 2000's 9 8 9 9 10 12 11 11 6 3 2010's 3 5 3 3 1 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Natural

  15. Hawaii Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Hawaii Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27 26 29 2000's 28 28 29 29 29 28 26 27 27 25 2010's 24 24 22 22 23 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Natural Gas Indu

  16. Indiana Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's NA NA NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Indiana Natural Gas Summary

  17. Kansas Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) Kansas Natural Gas Summary

  18. Method and apparatus for recovering a gas from a gas hydrate located on the ocean floor

    DOEpatents

    Wyatt, Douglas E.

    2001-01-01

    A method and apparatus for recovering a gas from a gas hydrate on the ocean floor includes a flexible cover, a plurality of steerable base members secured to the cover, and a steerable mining module. A suitable source for inflating the cover over the gas hydrate deposit is provided. The mining module, positioned on the gas hydrate deposit, is preferably connected to the cover by a control cable. A gas retrieval conduit or hose extends upwardly from the cover to be connected to a support ship on the ocean surface.

  19. Sm-Nd systematics of lunar ferroan anorthositic suite rocks: Constraints on lunar crust

    DOE PAGES [OSTI]

    Boyet, Maud; Carlson, Richard W.; Borg, Lars E.; Horan, Mary

    2014-09-28

    Here, we have measured Sm–Nd systematics, including the short-lived 146Sm–142Nd chronometer, in lunar ferroan anorthositic suite (FAS) whole rocks (15415, 62236, 62255, 65315, 60025). At least some members of the suite are thought to be primary crystallization products formed by plagioclase flotation during crystallization of the lunar magma ocean (LMO). Most of these samples, except 62236, have not been exposed to galactic cosmic rays for a long period and thus require minimal correction to their 142Nd isotope composition. These samples all have measured deficits in 142Nd relative to the JNdi-1 terrestrial standard in the range –45 to –21 ppm. Themore » range is –45 to –15 ppm once the 62236 142Nd/144Nd ratio is corrected from neutron-capture effects. Analyzed FAS samples do not define a single isochron in either 146Sm–142Nd or 147Sm–143Nd systematics, suggesting that they either do not have the same crystallization age, come from different sources, or have suffered isotopic disturbance. Because the age is not known for some samples, we explore the implications of their initial isotopic compositions for crystallization ages in the first 400 Ma of solar system history, a timing interval that covers all the ages determined for the ferroan anorthositic suite whole rocks as well as different estimates for the crystallization of the LMO. 62255 has the largest deficit in initial 142Nd and does not appear to have followed the same differentiation path as the other FAS samples. The large deficit in 142Nd of FAN 62255 may suggest a crystallization age around 60–125 Ma after the beginning of solar system accretion. This result provides essential information about the age of the giant impact forming the Moon. The initial Nd isotopic compositions of FAS samples can be matched either with a bulk-Moon with chondritic Sm/Nd ratio but enstatite-chondrite-like initial 142Nd/144Nd (e.g. 10 ppm below modern terrestrial), or a bulk-Moon with superchondritic Sm

  20. Sm-Nd systematics of lunar ferroan anorthositic suite rocks: Constraints on lunar crust

    SciTech Connect

    Boyet, Maud; Carlson, Richard W.; Borg, Lars E.; Horan, Mary

    2014-09-28

    Here, we have measured Sm–Nd systematics, including the short-lived 146Sm–142Nd chronometer, in lunar ferroan anorthositic suite (FAS) whole rocks (15415, 62236, 62255, 65315, 60025). At least some members of the suite are thought to be primary crystallization products formed by plagioclase flotation during crystallization of the lunar magma ocean (LMO). Most of these samples, except 62236, have not been exposed to galactic cosmic rays for a long period and thus require minimal correction to their 142Nd isotope composition. These samples all have measured deficits in 142Nd relative to the JNdi-1 terrestrial standard in the range –45 to –21 ppm. The range is –45 to –15 ppm once the 62236 142Nd/144Nd ratio is corrected from neutron-capture effects. Analyzed FAS samples do not define a single isochron in either 146Sm–142Nd or 147Sm–143Nd systematics, suggesting that they either do not have the same crystallization age, come from different sources, or have suffered isotopic disturbance. Because the age is not known for some samples, we explore the implications of their initial isotopic compositions for crystallization ages in the first 400 Ma of solar system history, a timing interval that covers all the ages determined for the ferroan anorthositic suite whole rocks as well as different estimates for the crystallization of the LMO. 62255 has the largest deficit in initial 142Nd and does not appear to have followed the same differentiation path as the other FAS samples. The large deficit in 142Nd of FAN 62255 may suggest a crystallization age around 60–125 Ma after the beginning of solar system accretion. This result provides essential information about the age of the giant impact forming the Moon. The initial Nd isotopic compositions of FAS samples can be matched either with a bulk-Moon with chondritic Sm/Nd ratio but

  1. ARM - Measurement - Particle number concentration

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    number concentration ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Particle number concentration The number of particles present in any given volume of air. Categories Aerosols Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those

  2. Total Number of Operable Refineries

    Energy Information Administration (EIA) (indexed site)

    Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge

  3. Compendium of Experimental Cetane Numbers

    SciTech Connect

    Yanowitz, J.; Ratcliff, M. A.; McCormick, R. L.; Taylor, J. D.; Murphy, M. J.

    2014-08-01

    This report is an updated version of the 2004 Compendium of Experimental Cetane Number Data and presents a compilation of measured cetane numbers for pure chemical compounds. It includes all available single compound cetane number data found in the scientific literature up until March 2014 as well as a number of unpublished values, most measured over the past decade at the National Renewable Energy Laboratory. This Compendium contains cetane values for 389 pure compounds, including 189 hydrocarbons and 201 oxygenates. More than 250 individual measurements are new to this version of the Compendium. For many compounds, numerous measurements are included, often collected by different researchers using different methods. Cetane number is a relative ranking of a fuel's autoignition characteristics for use in compression ignition engines; it is based on the amount of time between fuel injection and ignition, also known as ignition delay. The cetane number is typically measured either in a single-cylinder engine or a constant volume combustion chamber. Values in the previous Compendium derived from octane numbers have been removed, and replaced with a brief analysis of the correlation between cetane numbers and octane numbers. The discussion on the accuracy and precision of the most commonly used methods for measuring cetane has been expanded and the data has been annotated extensively to provide additional information that will help the reader judge the relative reliability of individual results.

  4. Exploring the isopycnal mixing and helium-heat paradoxes in a suite of Earth System Models

    DOE PAGES [OSTI]

    Gnanadesikan, A.; Abernathey, R.; Pradal, M.-A.

    2014-11-20

    This paper uses a suite of Earth System models which simulate the distribution of He isotopes and radiocarbon to examine two paradoxes in Earth science. The helium-heat paradox refers to the fact that helium emissions to the deep ocean are far lower than would be expected given the rate of geothermal heating, since both are thought to be the result of radioactive decay in the earth's interior. The isopycnal mixing paradox comes from the fact that many theoretical parameterizations of the isopycnal mixing coefficient ARedi that link it to baroclinic instability project it to be small (of order a fewmore » hundred m2 s−1) in the ocean interior away from boundary currents. However, direct observations using tracers and floats (largely in the upper ocean) suggest that values of this coefficient are an order of magnitude higher. Because helium isotopes equilibrate rapidly with the atmosphere, but radiocarbon equilibrates slowly, it might be thought that resolving the isopycnal mixing paradox in favor of the higher observational estimates of ARedi might also solve the helium paradox. In this paper we show that this is not the case. In a suite of models with different spatially constant and spatially varying values of ARedi the distribution of radiocarbon and helium isotopes is sensitive to the value of ARedi. However, away from strong helium sources in the Southeast Pacific, the relationship between the two is not sensitive, indicating that large-scale advection is the limiting process for removing helium and radiocarbon from the deep ocean. The helium isotopes, in turn, suggest a higher value of ARedi in the deep ocean than is seen in theoretical parameterizations based on baroclinic growth rates. We argue that a key part of resolving the isopycnal mixing paradox is to abandon the idea that ARedi has a direct relationship to local baroclinic instability and to the so called "thickness" mixing coefficient AGM.« less

  5. Rhode Island Natural Gas Number of Industrial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Industrial Consumers (Number of Elements) Rhode Island Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,158 1,152 1,122 1990's 1,135 1,107 1,096 1,066 1,064 359 363 336 325 302 2000's 317 283 54 236 223 223 245 256 243 260 2010's 249 245 248 271 266 260 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  6. South Dakota Natural Gas Number of Industrial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Industrial Consumers (Number of Elements) South Dakota Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 261 267 270 1990's 275 283 319 355 381 396 444 481 464 445 2000's 416 402 533 526 475 542 528 548 598 598 2010's 580 556 574 566 575 578 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  7. Maine Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Maine Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 73 73 74 1990's 80 81 80 66 89 74 87 81 110 108 2000's 178 233 66 65 69 69 73 76 82 85 2010's 94 102 108 120 126 136 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  8. Montana Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Montana Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 435 435 428 1990's 457 452 459 462 453 463 466 462 454 397 2000's 71 73 439 412 593 716 711 693 693 396 2010's 384 381 372 372 369 366 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  9. Nevada Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Nevada Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 93 98 100 1990's 100 113 114 117 119 120 121 93 93 109 2000's 90 90 96 97 179 192 207 220 189 192 2010's 184 177 177 195 219 215 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  10. Arizona Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Arizona Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 358 344 354 1990's 526 532 532 526 519 530 534 480 514 555 2000's 526 504 488 450 414 425 439 395 383 390 2010's 368 371 379 383 386 400 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release

  11. Delaware Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Delaware Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 241 233 235 1990's 240 243 248 249 252 253 250 265 257 264 2000's 297 316 182 184 186 179 170 185 165 112 2010's 114 129 134 138 141 144 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release

  12. Idaho Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Idaho Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 219 132 64 1990's 62 65 66 75 144 167 183 189 203 200 2000's 217 198 194 191 196 195 192 188 199 187 2010's 184 178 179 183 189 187 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  13. Causes and solutions for cracking of coextruded and weld overlay floor tubes in black liquor recovery boilers

    SciTech Connect

    Keiser, J.R.; Taljat, B.; Wang, X.L.

    1998-09-01

    Cracking of coextruded, black liquor recovery boiler floor tubes is both a safety and an economic issue to mill operators. In an effort to determine the cause of the cracking and to identify a solution, extensive studies, described in this and three accompanying papers, are being conducted. In this paper, results of studies to characterize both the cracking and the chemical and thermal environment are reported. Based on the results described in this series of papers, a possible mechanism is presented and means to lessen the likelihood of cracking or to totally avoid cracking of floor tubes are offered.

  14. Departmental Business Instrument Numbering System

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2005-01-27

    The Order prescribes the procedures for assigning identifying numbers to all Department of Energy (DOE) and National Nuclear Security Administration (NNSA) business instruments. Cancels DOE O 540.1. Canceled by DOE O 540.1B.

  15. Departmental Business Instrument Numbering System

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2000-12-05

    To prescribe procedures for assigning identifying numbers to all Department of Energy (DOE), including the National Nuclear Security Administration, business instruments. Cancels DOE 1331.2B. Canceled by DOE O 540.1A.

  16. Exploring the isopycnal mixing and helium–heat paradoxes in a suite of Earth system models

    DOE PAGES [OSTI]

    Gnanadesikan, A.; Pradal, M.-A.; Abernathey, R.

    2015-07-27

    This paper uses a suite of Earth system models which simulate the distribution of He isotopes and radiocarbon to examine two paradoxes in Earth science, each of which results from an inconsistency between theoretically motivated global energy balances and direct observations. The helium–heat paradox refers to the fact that helium emissions to the deep ocean are far lower than would be expected given the rate of geothermal heating, since both are thought to be the result of radioactive decay in Earth's interior. The isopycnal mixing paradox comes from the fact that many theoretical parameterizations of the isopycnal mixing coefficient ARedimore » that link it to baroclinic instability project it to be small (of order a few hundred m2 s−1) in the ocean interior away from boundary currents. However, direct observations using tracers and floats (largely in the upper ocean) suggest that values of this coefficient are an order of magnitude higher. Helium isotopes equilibrate rapidly with the atmosphere and thus exhibit large gradients along isopycnals while radiocarbon equilibrates slowly and thus exhibits smaller gradients along isopycnals. Thus it might be thought that resolving the isopycnal mixing paradox in favor of the higher observational estimates of ARedi might also solve the helium paradox, by increasing the transport of mantle helium to the surface more than it would radiocarbon. In this paper we show that this is not the case. In a suite of models with different spatially constant and spatially varying values of ARedi the distribution of radiocarbon and helium isotopes is sensitive to the value of ARedi. However, away from strong helium sources in the southeastern Pacific, the relationship between the two is not sensitive, indicating that large-scale advection is the limiting process for removing helium and radiocarbon from the deep ocean. The helium isotopes, in turn, suggest a higher value of ARedi below the thermocline than is seen in theoretical

  17. Tennessee Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Tennessee Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 77,104 81,159 84,040 1990's 88,753 89,863 91,999 94,860 97,943 101,561 103,867 105,925 109,772 112,978 2000's 115,691 118,561 120,130 131,916 125,042 124,755 126,970 126,324 128,007 127,704 2010's 127,914 128,969 130,139 131,091 131,027 132,392 - = No Data Reported; -- = Not Applicable; NA = Not

  18. Tennessee Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Tennessee Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,206 2,151 2,555 1990's 2,361 2,369 2,425 2,512 2,440 2,393 2,306 2,382 5,149 2,159 2000's 2,386 2,704 2,657 2,755 2,738 2,498 2,545 2,656 2,650 2,717 2010's 2,702 2,729 2,679 2,581 2,595 2,651 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. Tennessee Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Tennessee Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 534,882 565,856 599,042 1990's 627,031 661,105 696,140 733,363 768,421 804,724 841,232 867,793 905,757 937,896 2000's 969,537 993,363 1,009,225 1,022,628 1,037,429 1,049,307 1,063,328 1,071,756 1,084,102 1,083,573 2010's 1,085,387 1,089,009 1,084,726 1,094,122 1,106,917 1,124,572 - = No Data

  20. Texas Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Texas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 294,879 284,013 270,227 1990's 268,181 269,411 292,990 297,516 306,376 325,785 329,287 332,077 320,922 314,598 2000's 315,906 314,858 317,446 320,786 322,242 322,999 329,918 326,812 324,671 313,384 2010's 312,277 314,041 314,811 314,036 316,756 319,512 - = No Data Reported; -- = Not Applicable; NA = Not

  1. Texas Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Texas Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,852 4,427 13,383 1990's 13,659 13,770 5,481 5,823 5,222 9,043 8,796 5,339 5,318 5,655 2000's 11,613 10,047 9,143 9,015 9,359 9,136 8,664 11,063 5,568 8,581 2010's 8,779 8,713 8,953 8,525 8,398 6,655 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  2. Texas Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Texas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,155,948 3,166,168 3,201,316 1990's 3,232,849 3,274,482 3,285,025 3,346,809 3,350,314 3,446,120 3,501,853 3,543,027 3,600,505 3,613,864 2000's 3,704,501 3,738,260 3,809,370 3,859,647 3,939,101 3,984,481 4,067,508 4,156,991 4,205,412 4,248,613 2010's 4,288,495 4,326,156 4,370,057 4,424,103 4,469,282

  3. Pennsylvania Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) Pennsylvania Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 166,901 172,615 178,545 1990's 186,772 191,103 193,863 198,299 206,812 209,245 214,340 215,057 216,519 223,732 2000's 228,037 225,911 226,957 227,708 231,051 233,132 231,540 234,597 233,462 233,334 2010's 233,751 233,588 235,049 237,922 239,681 241,682 - = No Data Reported; -- = Not

  4. Pennsylvania Natural Gas Number of Industrial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Industrial Consumers (Number of Elements) Pennsylvania Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,089 6,070 6,023 1990's 6,238 6,344 6,496 6,407 6,388 6,328 6,441 6,492 6,736 7,080 2000's 6,330 6,159 5,880 5,577 5,726 5,577 5,241 4,868 4,772 4,745 2010's 4,624 5,007 5,066 5,024 5,084 4,932 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  5. Pennsylvania Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) Pennsylvania Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,237,877 2,271,801 2,291,242 1990's 2,311,795 2,333,377 2,363,575 2,386,249 2,393,053 2,413,715 2,431,909 2,452,524 2,493,639 2,486,704 2000's 2,519,794 2,542,724 2,559,024 2,572,584 2,591,458 2,600,574 2,605,782 2,620,755 2,631,340 2,635,886 2010's 2,646,211 2,667,392 2,678,547

  6. Rhode Island Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) Rhode Island Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15,128 16,096 16,924 1990's 17,765 18,430 18,607 21,178 21,208 21,472 21,664 21,862 22,136 22,254 2000's 22,592 22,815 23,364 23,270 22,994 23,082 23,150 23,007 23,010 22,988 2010's 23,049 23,177 23,359 23,742 23,934 24,088 - = No Data Reported; -- = Not Applicable; NA = Not

  7. Rhode Island Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) Rhode Island Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 180,656 185,861 190,796 1990's 195,100 196,438 197,926 198,563 200,959 202,947 204,259 212,777 208,208 211,097 2000's 214,474 216,781 219,769 221,141 223,669 224,320 225,027 223,589 224,103 224,846 2010's 225,204 225,828 228,487 231,763 233,786 236,323 - = No Data Reported; -- =

  8. South Carolina Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) South Carolina Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 35,414 37,075 38,856 1990's 39,904 39,999 40,968 42,191 45,487 47,293 48,650 50,817 52,237 53,436 2000's 54,794 55,257 55,608 55,909 56,049 56,974 57,452 57,544 56,317 55,850 2010's 55,853 55,846 55,908 55,997 56,323 56,871 - = No Data Reported; -- = Not Applicable; NA = Not

  9. South Carolina Natural Gas Number of Industrial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Industrial Consumers (Number of Elements) South Carolina Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,256 1,273 1,307 1990's 1,384 1,400 1,568 1,625 1,928 1,802 1,759 1,764 1,728 1,768 2000's 1,715 1,702 1,563 1,574 1,528 1,535 1,528 1,472 1,426 1,358 2010's 1,325 1,329 1,435 1,452 1,442 1,438 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  10. South Carolina Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) South Carolina Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 302,321 313,831 327,527 1990's 339,486 344,763 357,818 370,411 416,773 412,259 426,088 443,093 460,141 473,799 2000's 489,340 501,161 508,686 516,362 527,008 541,523 554,953 570,213 561,196 565,774 2010's 570,797 576,594 583,633 593,286 605,644 620,555 - = No Data Reported; -- =

  11. South Dakota Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) South Dakota Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 12,480 12,438 12,771 1990's 13,443 13,692 14,133 16,523 15,539 16,285 16,880 17,432 17,972 18,453 2000's 19,100 19,378 19,794 20,070 20,457 20,771 21,149 21,502 21,819 22,071 2010's 22,267 22,570 22,955 23,214 23,591 24,040 - = No Data Reported; -- = Not Applicable; NA = Not

  12. South Dakota Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) South Dakota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 101,468 102,084 103,538 1990's 105,436 107,846 110,291 128,029 119,544 124,152 127,269 130,307 133,095 136,789 2000's 142,075 144,310 147,356 150,725 148,105 157,457 160,481 163,458 165,694 168,096 2010's 169,838 170,877 173,856 176,204 179,042 182,568 - = No Data Reported; -- =

  13. Louisiana Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Louisiana Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 67,382 66,472 64,114 1990's 62,770 61,574 61,030 62,055 62,184 62,930 62,101 62,270 63,029 62,911 2000's 62,710 62,241 62,247 63,512 60,580 58,409 57,097 57,127 57,066 58,396 2010's 58,562 58,749 63,381 59,147 58,996 57,873 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  14. Louisiana Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Louisiana Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,617 1,503 1,531 1990's 1,504 1,469 1,452 1,592 1,737 1,383 1,444 1,406 1,380 1,397 2000's 1,318 1,440 1,357 1,291 1,460 1,086 962 945 988 954 2010's 942 920 963 916 883 845 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  15. Louisiana Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Louisiana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 952,079 946,970 934,472 1990's 934,007 936,423 940,403 941,294 945,387 957,558 945,967 962,786 962,436 961,925 2000's 964,133 952,753 957,048 958,795 940,400 905,857 868,353 879,612 886,084 889,570 2010's 893,400 897,513 963,688 901,635 903,686 888,023 - = No Data Reported; -- = Not Applicable; NA

  16. Maine Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Maine Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,435 3,731 3,986 1990's 4,250 4,455 4,838 4,979 5,297 5,819 6,414 6,606 6,662 6,582 2000's 6,954 6,936 7,375 7,517 7,687 8,178 8,168 8,334 8,491 8,815 2010's 9,084 9,681 10,179 11,415 11,810 11,888 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  17. Maine Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Maine Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 12,134 11,933 11,902 1990's 12,000 12,424 13,766 13,880 14,104 14,917 14,982 15,221 15,646 15,247 2000's 17,111 17,302 17,921 18,385 18,707 18,633 18,824 18,921 19,571 20,806 2010's 21,142 22,461 23,555 24,765 27,047 31,011 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  18. Maryland Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Maryland Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 51,252 53,045 54,740 1990's 55,576 61,878 62,858 63,767 64,698 66,094 69,991 69,056 67,850 69,301 2000's 70,671 70,691 71,824 72,076 72,809 73,780 74,584 74,856 75,053 75,771 2010's 75,192 75,788 75,799 77,117 77,846 78,138 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  19. Maryland Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Maryland Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,222 5,397 5,570 1990's 5,646 520 514 496 516 481 430 479 1,472 536 2000's 329 795 1,434 1,361 1,354 1,325 1,340 1,333 1,225 1,234 2010's 1,255 1,226 1,163 1,173 1,179 1,169 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  20. Maryland Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Maryland Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 755,294 760,754 767,219 1990's 774,707 782,373 894,677 807,204 824,137 841,772 871,012 890,195 901,455 939,029 2000's 941,384 959,772 978,319 987,863 1,009,455 1,024,955 1,040,941 1,053,948 1,057,521 1,067,807 2010's 1,071,566 1,077,168 1,078,978 1,099,272 1,101,292 1,113,342 - = No Data Reported;

  1. Massachusetts Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) Massachusetts Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 84,636 93,005 92,252 1990's 85,775 88,746 85,873 102,187 92,744 104,453 105,889 107,926 108,832 113,177 2000's 117,993 120,984 122,447 123,006 125,107 120,167 126,713 128,965 242,693 153,826 2010's 144,487 138,225 142,825 144,246 139,556 140,533 - = No Data Reported; -- = Not

  2. Massachusetts Natural Gas Number of Industrial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Industrial Consumers (Number of Elements) Massachusetts Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,626 7,199 13,057 1990's 6,539 5,006 8,723 7,283 8,019 10,447 10,952 11,058 11,245 8,027 2000's 8,794 9,750 9,090 11,272 10,949 12,019 12,456 12,678 36,928 19,208 2010's 12,751 10,721 10,840 11,063 10,946 11,266 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  3. Massachusetts Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) Massachusetts Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,082,777 1,100,635 1,114,920 1990's 1,118,429 1,127,536 1,137,911 1,155,443 1,179,869 1,180,860 1,188,317 1,204,494 1,212,486 1,232,887 2000's 1,278,781 1,283,008 1,295,952 1,324,715 1,306,142 1,297,508 1,348,848 1,361,470 1,236,480 1,370,353 2010's 1,389,592 1,408,314 1,447,947

  4. Michigan Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Michigan Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 178,469 185,961 191,474 1990's 195,766 198,890 201,561 204,453 207,629 211,817 214,843 222,726 224,506 227,159 2000's 230,558 225,109 247,818 246,123 246,991 253,415 254,923 253,139 252,382 252,017 2010's 249,309 249,456 249,994 250,994 253,127 254,484 - = No Data Reported; -- = Not Applicable; NA =

  5. Michigan Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Michigan Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 10,885 11,117 11,452 1990's 11,500 11,446 11,460 11,425 11,308 11,454 11,848 12,233 11,888 14,527 2000's 11,384 11,210 10,468 10,378 10,088 10,049 9,885 9,728 10,563 18,186 2010's 9,332 9,088 8,833 8,497 8,156 7,931 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  6. Michigan Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Michigan Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,452,554 2,491,149 2,531,304 1990's 2,573,570 2,609,561 2,640,579 2,677,085 2,717,683 2,767,190 2,812,876 2,859,483 2,903,698 2,949,628 2000's 2,999,737 3,011,205 3,110,743 3,140,021 3,161,370 3,187,583 3,193,920 3,188,152 3,172,623 3,169,026 2010's 3,152,468 3,153,895 3,161,033 3,180,349

  7. Minnesota Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Minnesota Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 88,789 90,256 92,916 1990's 95,474 97,388 99,707 93,062 102,857 103,874 105,531 108,686 110,986 114,127 2000's 116,529 119,007 121,751 123,123 125,133 126,310 129,149 128,367 130,847 131,801 2010's 132,163 132,938 134,394 135,557 136,380 138,871 - = No Data Reported; -- = Not Applicable; NA = Not

  8. Minnesota Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Minnesota Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,585 2,670 2,638 1990's 2,574 2,486 2,515 2,477 2,592 2,531 2,564 2,233 2,188 2,267 2000's 2,025 1,996 2,029 2,074 2,040 1,432 1,257 1,146 1,131 2,039 2010's 2,106 1,770 1,793 1,870 1,880 1,868 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  9. Minnesota Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Minnesota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 872,148 894,380 911,001 1990's 946,107 970,941 998,201 1,074,631 1,049,263 1,080,009 1,103,709 1,134,019 1,161,423 1,190,190 2000's 1,222,397 1,249,748 1,282,751 1,308,143 1,338,061 1,364,237 1,401,362 1,401,623 1,413,162 1,423,703 2010's 1,429,681 1,436,063 1,445,824 1,459,134 1,472,663 1,496,790

  10. Mississippi Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Mississippi Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 43,362 44,170 44,253 1990's 43,184 43,693 44,313 45,310 43,803 45,444 46,029 47,311 45,345 47,620 2000's 50,913 51,109 50,468 50,928 54,027 54,936 55,741 56,155 55,291 50,713 2010's 50,537 50,636 50,689 50,153 49,911 49,821 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  11. Mississippi Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Mississippi Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,312 1,263 1,282 1990's 1,317 1,314 1,327 1,324 1,313 1,298 1,241 1,199 1,165 1,246 2000's 1,199 1,214 1,083 1,161 996 1,205 1,181 1,346 1,132 1,141 2010's 980 982 936 933 943 930 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  12. Mississippi Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) Mississippi Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 370,094 372,238 376,353 1990's 382,251 386,264 392,155 398,472 405,312 415,123 418,442 423,397 415,673 426,352 2000's 434,501 438,069 435,146 438,861 445,212 445,856 437,669 445,043 443,025 437,715 2010's 436,840 442,479 442,840 445,589 440,252 439,359 - = No Data Reported; -- =

  13. Missouri Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Missouri Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 96,711 97,939 99,721 1990's 105,164 117,675 125,174 125,571 132,378 130,318 133,445 135,553 135,417 133,464 2000's 133,969 135,968 137,924 140,057 141,258 142,148 143,632 142,965 141,529 140,633 2010's 138,670 138,214 144,906 142,495 143,134 141,216 - = No Data Reported; -- = Not Applicable; NA = Not

  14. Missouri Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Missouri Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,832 2,880 3,063 1990's 3,140 3,096 2,989 3,040 3,115 3,033 3,408 3,097 3,151 3,152 2000's 3,094 3,085 2,935 3,115 3,600 3,545 3,548 3,511 3,514 3,573 2010's 3,541 3,307 3,692 3,538 3,497 3,232 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Missouri Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Missouri Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,180,546 1,194,985 1,208,523 1990's 1,213,305 1,211,342 1,220,203 1,225,921 1,281,007 1,259,102 1,275,465 1,293,032 1,307,563 1,311,865 2000's 1,324,282 1,326,160 1,340,726 1,343,614 1,346,773 1,348,743 1,353,892 1,354,173 1,352,015 1,348,781 2010's 1,348,549 1,342,920 1,389,910 1,357,740

  16. Montana Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Montana Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 21,382 22,246 22,219 1990's 23,331 23,185 23,610 24,373 25,349 26,329 26,374 27,457 28,065 28,424 2000's 29,215 29,429 30,250 30,814 31,357 31,304 31,817 32,472 33,008 33,731 2010's 34,002 34,305 34,504 34,909 35,205 35,777 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  17. Montana Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Montana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 167,883 171,785 171,156 1990's 174,384 177,726 182,641 188,879 194,357 203,435 205,199 209,806 218,851 222,114 2000's 224,784 226,171 229,015 232,839 236,511 240,554 245,883 247,035 253,122 255,472 2010's 257,322 259,046 259,957 262,122 265,849 269,766 - = No Data Reported; -- = Not Applicable; NA =

  18. Nebraska Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Nebraska Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 60,707 61,365 60,377 1990's 60,405 60,947 61,319 60,599 62,045 61,275 61,117 51,661 63,819 53,943 2000's 55,194 55,692 56,560 55,999 57,087 57,389 56,548 55,761 58,160 56,454 2010's 56,246 56,553 56,608 58,005 57,191 57,521 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  19. Nebraska Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Nebraska Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 675 684 702 1990's 712 718 696 718 766 2,432 2,234 11,553 10,673 10,342 2000's 10,161 10,504 9,156 9,022 8,463 7,973 7,697 7,668 11,627 7,863 2010's 7,912 7,955 8,160 8,495 8,791 8,868 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  20. Nebraska Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Nebraska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 400,218 403,657 406,723 1990's 407,094 413,354 418,611 413,358 428,201 427,720 439,931 444,970 523,790 460,173 2000's 475,673 476,275 487,332 492,451 497,391 501,279 499,504 494,005 512,013 512,551 2010's 510,776 514,481 515,338 527,397 522,408 525,165 - = No Data Reported; -- = Not Applicable; NA

  1. Nevada Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Nevada Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 18,294 18,921 19,924 1990's 20,694 22,124 22,799 23,207 24,521 25,593 26,613 27,629 29,030 30,521 2000's 31,789 32,782 33,877 34,590 35,792 37,093 38,546 40,128 41,098 41,303 2010's 40,801 40,944 41,192 41,710 42,338 42,860 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  2. Nevada Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Nevada Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 213,422 219,981 236,237 1990's 256,119 283,307 295,714 305,099 336,353 364,112 393,783 426,221 458,737 490,029 2000's 520,233 550,850 580,319 610,756 648,551 688,058 726,772 750,570 758,315 760,391 2010's 764,435 772,880 782,759 794,150 808,970 824,039 - = No Data Reported; -- = Not Applicable; NA =

  3. Ohio Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Ohio Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 213,601 219,257 225,347 1990's 233,075 236,519 237,861 240,684 245,190 250,223 259,663 254,991 258,076 266,102 2000's 269,561 269,327 271,160 271,203 272,445 277,767 270,552 272,555 272,899 270,596 2010's 268,346 268,647 267,793 269,081 269,758 269,981 - = No Data Reported; -- = Not Applicable; NA = Not

  4. Ohio Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Ohio Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,929 8,163 8,356 1990's 8,301 8,479 8,573 8,678 8,655 8,650 8,672 7,779 8,112 8,136 2000's 8,267 8,515 8,111 8,098 7,899 8,328 6,929 6,858 6,806 6,712 2010's 6,571 6,482 6,381 6,554 6,526 6,502 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  5. Ohio Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Ohio Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,648,972 2,678,838 2,714,839 1990's 2,766,912 2,801,716 2,826,713 2,867,959 2,921,536 2,967,375 2,994,891 3,041,948 3,050,960 3,111,108 2000's 3,178,840 3,195,584 3,208,466 3,225,908 3,250,068 3,272,307 3,263,062 3,273,791 3,262,716 3,253,184 2010's 3,240,619 3,236,160 3,244,274 3,271,074 3,283,968

  6. Oklahoma Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Oklahoma Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 87,824 86,666 86,172 1990's 85,790 86,744 87,120 88,181 87,494 88,358 89,852 90,284 89,711 80,986 2000's 80,558 79,045 80,029 79,733 79,512 78,726 78,745 93,991 94,247 94,314 2010's 92,430 93,903 94,537 95,385 96,005 96,471 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  7. Oklahoma Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Oklahoma Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,772 2,689 2,877 1990's 2,889 2,840 2,859 2,912 2,853 2,845 2,843 2,531 3,295 3,040 2000's 2,821 3,403 3,438 3,367 3,283 2,855 2,811 2,822 2,920 2,618 2010's 2,731 2,733 2,872 2,958 3,062 3,059 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  8. Oklahoma Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Oklahoma Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 809,171 805,107 806,875 1990's 814,296 824,172 832,677 842,130 845,448 856,604 866,531 872,454 877,236 867,922 2000's 859,951 868,314 875,338 876,420 875,271 880,403 879,589 920,616 923,650 924,745 2010's 914,869 922,240 927,346 931,981 937,237 941,137 - = No Data Reported; -- = Not Applicable; NA

  9. Oregon Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Oregon Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 40,967 41,998 43,997 1990's 47,175 55,374 50,251 51,910 53,700 55,409 57,613 60,419 63,085 65,034 2000's 66,893 68,098 69,150 74,515 71,762 73,520 74,683 80,998 76,868 76,893 2010's 77,370 77,822 78,237 79,276 80,480 80,877 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  10. Oregon Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Oregon Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 676 1,034 738 1990's 699 787 740 696 765 791 799 704 695 718 2000's 717 821 842 926 907 1,118 1,060 1,136 1,075 1,051 2010's 1,053 1,066 1,076 1,085 1,099 1,117 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  11. Oregon Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Oregon Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 280,670 288,066 302,156 1990's 326,177 376,166 354,256 371,151 391,845 411,465 433,638 456,960 477,796 502,000 2000's 523,952 542,799 563,744 625,398 595,495 626,685 647,635 664,455 674,421 675,582 2010's 682,737 688,681 693,507 700,211 707,010 717,999 - = No Data Reported; -- = Not Applicable; NA =

  12. Alabama Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Alabama Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 53 54,306 55,400 56,822 1990's 56,903 57,265 58,068 57,827 60,320 60,902 62,064 65,919 76,467 64,185 2000's 66,193 65,794 65,788 65,297 65,223 65,294 66,337 65,879 65,313 67,674 2010's 68,163 67,696 67,252 67,136 67,847 67,746 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  13. Alabama Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Alabama Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2 2,313 2,293 2,380 1990's 2,431 2,523 2,509 2,458 2,477 2,491 2,512 2,496 2,464 2,620 2000's 2,792 2,781 2,730 2,743 2,799 2,787 2,735 2,704 2,757 3,057 2010's 3,039 2,988 3,045 3,143 3,244 3,300 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. Alabama Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Alabama Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 656 662,217 668,432 683,528 1990's 686,149 700,195 711,043 730,114 744,394 751,890 766,322 781,711 788,464 775,311 2000's 805,689 807,770 806,389 809,754 806,660 809,454 808,801 796,476 792,236 785,005 2010's 778,985 772,892 767,396 765,957 769,900 768,568 - = No Data Reported; -- = Not Applicable;

  15. Alaska Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Alaska Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 11,484 11,649 11,806 1990's 11,921 12,071 12,204 12,359 12,475 12,584 12,732 12,945 13,176 13,409 2000's 13,711 14,002 14,342 14,502 13,999 14,120 14,384 13,408 12,764 13,215 2010's 12,998 13,027 13,133 13,246 13,399 13,549 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  16. Alaska Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Alaska Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 66 67,648 68,612 69,540 1990's 70,808 72,565 74,268 75,842 77,670 79,474 81,348 83,596 86,243 88,924 2000's 91,297 93,896 97,077 100,404 104,360 108,401 112,269 115,500 119,039 120,124 2010's 121,166 121,736 122,983 124,411 126,416 128,605 - = No Data Reported; -- = Not Applicable; NA = Not

  17. Arizona Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Arizona Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 46 46,702 46,636 46,776 1990's 47,292 53,982 47,781 47,678 48,568 49,145 49,693 50,115 51,712 53,022 2000's 54,056 54,724 56,260 56,082 56,186 56,572 57,091 57,169 57,586 57,191 2010's 56,676 56,547 56,532 56,585 56,649 56,793 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  18. Arizona Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Arizona Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 545 567,962 564,195 572,461 1990's 586,866 642,659 604,899 610,337 635,335 661,192 689,597 724,911 764,167 802,469 2000's 846,016 884,789 925,927 957,442 993,885 1,042,662 1,088,574 1,119,266 1,128,264 1,130,047 2010's 1,138,448 1,146,286 1,157,688 1,172,003 1,186,794 1,200,783 - = No Data Reported;

  19. Arkansas Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Arkansas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 60 60,355 61,630 61,848 1990's 61,530 61,731 62,221 62,952 63,821 65,490 67,293 68,413 69,974 71,389 2000's 72,933 71,875 71,530 71,016 70,655 69,990 69,475 69,495 69,144 69,043 2010's 67,987 67,815 68,765 68,791 69,011 69,265 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  20. Arkansas Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Arkansas Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1 1,410 1,151 1,412 1990's 1,396 1,367 1,319 1,364 1,417 1,366 1,488 1,336 1,300 1,393 2000's 1,414 1,122 1,407 1,269 1,223 1,120 1,120 1,055 1,104 1,025 2010's 1,079 1,133 990 1,020 1,009 1,023 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Arkansas Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Arkansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 475 480,839 485,112 491,110 1990's 488,850 495,148 504,722 513,466 521,176 531,182 539,952 544,460 550,017 554,121 2000's 560,055 552,716 553,192 553,211 554,844 555,861 555,905 557,966 556,746 557,355 2010's 549,970 551,795 549,959 549,764 549,034 550,108 - = No Data Reported; -- = Not Applicable;

  2. California Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) California Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 413 404,507 407,435 410,231 1990's 415,073 421,278 412,467 411,648 411,140 411,535 408,294 406,803 588,224 416,791 2000's 413,003 416,036 420,690 431,795 432,367 434,899 442,052 446,267 447,160 441,806 2010's 439,572 440,990 442,708 444,342 443,115 446,510 - = No Data Reported; -- = Not Applicable;

  3. California Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) California Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 31 44,764 44,680 46,243 1990's 46,048 44,865 40,528 42,748 38,750 38,457 36,613 35,830 36,235 36,435 2000's 35,391 34,893 33,725 34,617 41,487 40,226 38,637 39,134 39,591 38,746 2010's 38,006 37,575 37,686 37,996 37,548 36,854 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. California Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) California Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,626 7,904,858 8,113,034 8,313,776 1990's 8,497,848 8,634,774 8,680,613 8,726,187 8,790,733 8,865,541 8,969,308 9,060,473 9,181,928 9,331,206 2000's 9,370,797 9,603,122 9,726,642 9,803,311 9,957,412 10,124,433 10,329,224 10,439,220 10,515,162 10,510,950 2010's 10,542,584 10,625,190 10,681,916

  5. Colorado Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Colorado Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 108 109,770 110,769 112,004 1990's 112,661 113,945 114,898 115,924 115,994 118,502 121,221 123,580 125,178 129,041 2000's 131,613 134,393 136,489 138,621 138,543 137,513 139,746 141,420 144,719 145,624 2010's 145,460 145,837 145,960 150,145 150,235 150,545 - = No Data Reported; -- = Not Applicable;

  6. Colorado Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Colorado Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1 896 923 976 1990's 1,018 1,074 1,108 1,032 1,176 1,528 2,099 2,923 3,349 4,727 2000's 4,994 4,729 4,337 4,054 4,175 4,318 4,472 4,592 4,816 5,084 2010's 6,232 6,529 6,906 7,293 7,823 8,098 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  7. Colorado Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Colorado Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 925 942,571 955,810 970,512 1990's 983,592 1,002,154 1,022,542 1,044,699 1,073,308 1,108,899 1,147,743 1,183,978 1,223,433 1,265,032 2000's 1,315,619 1,365,413 1,412,923 1,453,974 1,496,876 1,524,813 1,558,911 1,583,945 1,606,602 1,622,434 2010's 1,634,587 1,645,716 1,659,808 1,672,312 1,690,581

  8. Connecticut Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Connecticut Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 38 40,886 41,594 43,703 1990's 45,364 45,925 46,859 45,529 45,042 45,935 47,055 48,195 47,110 49,930 2000's 52,384 49,815 49,383 50,691 50,839 52,572 52,982 52,389 53,903 54,510 2010's 54,842 55,028 55,407 55,500 56,591 57,403 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  9. Connecticut Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Connecticut Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2 2,709 2,818 2,908 1990's 3,061 2,921 2,923 2,952 3,754 3,705 3,435 3,459 3,441 3,465 2000's 3,683 3,881 3,716 3,625 3,470 3,437 3,393 3,317 3,196 3,138 2010's 3,063 3,062 3,148 4,454 4,217 3,945 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. Connecticut Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) Connecticut Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 400 411,349 417,831 424,036 1990's 428,912 430,078 432,244 427,761 428,157 431,909 433,778 436,119 438,716 442,457 2000's 458,388 458,404 462,574 466,913 469,332 475,221 478,849 482,902 487,320 489,349 2010's 490,185 494,970 504,138 513,492 522,658 531,380 - = No Data Reported; --

  11. Delaware Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Delaware Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6 6,180 6,566 7,074 1990's 7,485 7,895 8,173 8,409 8,721 9,133 9,518 9,807 10,081 10,441 2000's 9,639 11,075 11,463 11,682 11,921 12,070 12,345 12,576 12,703 12,839 2010's 12,861 12,931 12,997 13,163 13,352 13,430 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  12. Delaware Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Delaware Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 81 82,829 84,328 86,428 1990's 88,894 91,467 94,027 96,914 100,431 103,531 106,548 109,400 112,507 115,961 2000's 117,845 122,829 126,418 129,870 133,197 137,115 141,276 145,010 147,541 149,006 2010's 150,458 152,005 153,307 155,627 158,502 161,607 - = No Data Reported; -- = Not Applicable; NA =

  13. Georgia Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Georgia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 94 98,809 102,277 106,690 1990's 108,295 109,659 111,423 114,889 117,980 120,122 123,200 123,367 126,050 225,020 2000's 128,275 130,373 128,233 129,867 128,923 128,389 127,843 127,832 126,804 127,347 2010's 124,759 123,454 121,243 126,060 122,578 123,307 - = No Data Reported; -- = Not Applicable; NA =

  14. Georgia Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Georgia Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 3,034 3,144 3,079 1990's 3,153 3,124 3,186 3,302 3,277 3,261 3,310 3,310 3,262 5,580 2000's 3,294 3,330 3,219 3,326 3,161 3,543 3,053 2,913 2,890 2,254 2010's 2,174 2,184 2,112 2,242 2,481 2,548 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Georgia Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Georgia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,190 1,237,201 1,275,128 1,308,972 1990's 1,334,935 1,363,723 1,396,860 1,430,626 1,460,141 1,495,992 1,538,458 1,553,948 1,659,730 1,732,865 2000's 1,680,749 1,737,850 1,735,063 1,747,017 1,752,346 1,773,121 1,726,239 1,793,650 1,791,256 1,744,934 2010's 1,740,587 1,740,006 1,739,543 1,805,425

  16. Hawaii Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Hawaii Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,896 2,852 2,842 1990's 2,837 2,786 2,793 3,222 2,805 2,825 2,823 2,783 2,761 2,763 2000's 2,768 2,777 2,781 2,804 2,578 2,572 2,548 2,547 2,540 2,535 2010's 2,551 2,560 2,545 2,627 2,789 2,815 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  17. Hawaii Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Hawaii Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 28,502 28,761 28,970 1990's 29,137 29,701 29,805 29,984 30,614 30,492 31,017 30,990 30,918 30,708 2000's 30,751 30,794 30,731 30,473 26,255 26,219 25,982 25,899 25,632 25,466 2010's 25,389 25,305 25,184 26,374 28,919 28,952 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  18. Idaho Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Idaho Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 17,482 18,454 18,813 1990's 19,452 20,328 21,145 21,989 22,999 24,150 25,271 26,436 27,697 28,923 2000's 30,018 30,789 31,547 32,274 33,104 33,362 33,625 33,767 37,320 38,245 2010's 38,506 38,912 39,202 39,722 40,229 40,744 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  19. Idaho Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Idaho Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 104,824 111,532 113,898 1990's 113,954 126,282 136,121 148,582 162,971 175,320 187,756 200,165 213,786 227,807 2000's 240,399 251,004 261,219 274,481 288,380 301,357 316,915 323,114 336,191 342,277 2010's 346,602 350,871 353,963 359,889 367,394 374,557 - = No Data Reported; -- = Not Applicable; NA =

  20. Illinois Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Illinois Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 241,367 278,473 252,791 1990's 257,851 261,107 263,988 268,104 262,308 264,756 265,007 268,841 271,585 274,919 2000's 279,179 278,506 279,838 281,877 273,967 276,763 300,606 296,465 298,418 294,226 2010's 291,395 293,213 297,523 282,743 294,391 295,869 - = No Data Reported; -- = Not Applicable; NA =

  1. Illinois Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Illinois Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19,460 20,015 25,161 1990's 25,991 26,489 27,178 27,807 25,788 25,929 29,493 28,472 28,063 27,605 2000's 27,348 27,421 27,477 26,698 29,187 29,887 26,109 24,000 23,737 23,857 2010's 25,043 23,722 23,390 23,804 23,829 23,049 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  2. Illinois Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Illinois Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,170,364 3,180,199 3,248,117 1990's 3,287,091 3,320,285 3,354,679 3,388,983 3,418,052 3,452,975 3,494,545 3,521,707 3,556,736 3,594,071 2000's 3,631,762 3,670,693 3,688,281 3,702,308 3,754,132 3,975,961 3,812,121 3,845,441 3,869,308 3,839,438 2010's 3,842,206 3,855,942 3,878,806 3,838,120

  3. Indiana Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Indiana Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 116,571 119,458 122,803 1990's 124,919 128,223 129,973 131,925 134,336 137,162 139,097 140,515 141,307 145,631 2000's 148,411 148,830 150,092 151,586 151,943 159,649 154,322 155,885 157,223 155,615 2010's 156,557 161,293 158,213 158,965 159,596 160,051 - = No Data Reported; -- = Not Applicable; NA =

  4. Indiana Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Indiana Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,497 5,696 6,196 1990's 6,439 6,393 6,358 6,508 6,314 6,250 6,586 6,920 6,635 19,069 2000's 10,866 9,778 10,139 8,913 5,368 5,823 5,350 5,427 5,294 5,190 2010's 5,145 5,338 5,204 5,178 5,098 5,095 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  5. Indiana Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Indiana Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,250,476 1,275,401 1,306,747 1990's 1,327,772 1,358,640 1,377,023 1,402,770 1,438,483 1,463,640 1,489,647 1,509,142 1,531,914 1,570,253 2000's 1,604,456 1,613,373 1,657,640 1,644,715 1,588,738 1,707,195 1,661,186 1,677,857 1,678,158 1,662,663 2010's 1,669,026 1,707,148 1,673,132 1,681,841 1,693,267

  6. Iowa Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Iowa Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 80,797 81,294 82,549 1990's 83,047 84,387 85,325 86,452 86,918 88,585 89,663 90,643 91,300 92,306 2000's 93,836 95,485 96,496 96,712 97,274 97,767 97,823 97,979 98,144 98,416 2010's 98,396 98,541 99,113 99,017 99,186 99,662 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  7. Iowa Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Iowa Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,033 1,937 1,895 1990's 1,883 1,866 1,835 1,903 1,957 1,957 2,066 1,839 1,862 1,797 2000's 1,831 1,830 1,855 1,791 1,746 1,744 1,670 1,651 1,652 1,626 2010's 1,528 1,465 1,469 1,491 1,572 1,572 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  8. Iowa Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Iowa Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 690,532 689,655 701,687 1990's 706,842 716,088 729,081 740,722 750,678 760,848 771,109 780,746 790,162 799,015 2000's 812,323 818,313 824,218 832,230 839,415 850,095 858,915 865,553 872,980 875,781 2010's 879,713 883,733 892,123 895,414 900,420 908,058 - = No Data Reported; -- = Not Applicable; NA =

  9. Kansas Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Kansas Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 82,934 83,810 85,143 1990's 85,539 86,874 86,840 87,735 86,457 88,163 89,168 85,018 89,654 86,003 2000's 87,007 86,592 87,397 88,030 86,640 85,634 85,686 85,376 84,703 84,715 2010's 84,446 84,874 84,673 84,969 85,654 86,034 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  10. Kansas Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Kansas Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,440 4,314 4,366 1990's 4,357 3,445 3,296 4,369 3,560 3,079 2,988 7,014 10,706 5,861 2000's 8,833 9,341 9,891 9,295 8,955 8,300 8,152 8,327 8,098 7,793 2010's 7,664 7,954 7,970 7,877 7,328 7,218 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. Kansas Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Kansas Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 725,676 733,101 731,792 1990's 747,081 753,839 762,545 777,658 773,357 797,524 804,213 811,975 841,843 824,803 2000's 833,662 836,486 843,353 850,464 855,272 856,761 862,203 858,304 853,125 855,454 2010's 853,842 854,730 854,800 858,572 860,441 861,419 - = No Data Reported; -- = Not Applicable; NA =

  12. Kentucky Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) Kentucky Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 63,024 63,971 65,041 1990's 67,086 68,461 69,466 71,998 73,562 74,521 76,079 77,693 80,147 80,283 2000's 81,588 81,795 82,757 84,110 84,493 85,243 85,236 85,210 84,985 83,862 2010's 84,707 84,977 85,129 85,999 85,630 85,961 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  13. Kentucky Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) Kentucky Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,391 1,436 1,443 1990's 1,544 1,587 1,608 1,585 1,621 1,630 1,633 1,698 1,864 1,813 2000's 1,801 1,701 1,785 1,695 1,672 1,698 1,658 1,599 1,585 1,715 2010's 1,742 1,705 1,720 1,767 2,008 2,041 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. Kentucky Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Residential Consumers (Number of Elements) Kentucky Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 596,320 606,106 614,058 1990's 624,477 633,942 644,281 654,664 668,774 685,481 696,989 713,509 726,960 735,371 2000's 744,816 749,106 756,234 763,290 767,022 770,080 770,171 771,047 753,531 754,761 2010's 758,129 759,584 757,790 761,575 761,935 764,946 - = No Data Reported; -- = Not Applicable; NA

  15. Illinois Natural Gas Number of Oil Wells (Number of Elements)

    Gasoline and Diesel Fuel Update

    Commercial Consumers (Number of Elements) Illinois Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 241,367 278,473 252,791 1990's 257,851 261,107 263,988 268,104 262,308 264,756 265,007 268,841 271,585 274,919 2000's 279,179 278,506 279,838 281,877 273,967 276,763 300,606 296,465 298,418 294,226 2010's 291,395 293,213 297,523 282,743 294,391 295,869 - = No Data Reported; -- = Not Applicable; NA =

  16. Test Suite for Nuclear Data I: Deterministic Calculations for Critical Assemblies and Replacement Coefficients

    SciTech Connect

    Pruet, J; Brown, D A; Descalle, M

    2006-05-22

    The authors describe tools developed by the Computational Nuclear Physics group for testing the quality of internally developed nuclear data and the fidelity of translations from ENDF formatted data to ENDL formatted data used by Livermore. These tests include S{sub n} calculations for the effective k value characterizing critical assemblies and for replacement coefficients of different materials embedded in the Godiva and Jezebel critical assemblies. For those assemblies and replacement materials for which reliable experimental information is available, these calculations provide an integral check on the quality of data. Because members of the ENDF and reactor communities use calculations for these same assemblies in their validation process, a comparison between their results with ENDF formatted data and their results with data translated into the ENDL format provides a strong check on the accuracy of translations. As a first application of the test suite they present a study comparing ENDL 99 and ENDF/B-V. They also consider the quality of the ENDF/B-V translation previously done by the Computational Nuclear Physics group. No significant errors are found.

  17. SPRNG Scalable Parallel Random Number Generator LIbrary

    Energy Science and Technology Software Center

    2010-03-16

    This revision corrects some errors in SPRNG 1. Users of newer SPRNG versions can obtain the corrected files and build their version with it. This version also improves the scalability of some of the application-based tests in the SPRNG test suite. It also includes an interface to a parallel Mersenne Twister, so that if users install the Mersenne Twister, then they can test this generator with the SPRNG test suite and also use some SPRNGmore » features with that generator.« less

  18. LLW Notes, Volume 12, Number 1

    SciTech Connect

    Norris, C.; Brown, H.; Colsant, J.; Lovinger, T.; Scheele, L.; Shaker, M.A.

    1997-01-01

    Contents include articles entitled: Suit against Envirocare sparks investigations: Formal petition filed with NRC; Group alleges misconduct by USGS re Beatty study; EPA rescinds NESHAPs subpart 1; Northwest Compact executive director changes jobs; New forum participant for the state of New Jersey; and Director of North Carolina division of radiation control retires.

  19. Integration & Co-development of a Geophysical CO2 Monitoring Suite

    SciTech Connect

    Friedmann, S J

    2007-07-24

    Carbon capture and sequestration (CCS) has emerged as a key technology for dramatic short-term reduction in greenhouse gas emissions in particular from large stationary. A key challenge in this arena is the monitoring and verification (M&V) of CO2 plumes in the deep subsurface. Towards that end, we have developed a tool that can simultaneously invert multiple sub-surface data sets to constrain the location, geometry, and saturation of subsurface CO2 plumes. We have focused on a suite of unconventional geophysical approaches that measure changes in electrical properties (electrical resistance tomography, electromagnetic induction tomography) and bulk crustal deformation (til-meters). We had also used constraints of the geology as rendered in a shared earth model (ShEM) and of the injection (e.g., total injected CO{sub 2}). We describe a stochastic inversion method for mapping subsurface regions where CO{sub 2} saturation is changing. The technique combines prior information with measurements of injected CO{sub 2} volume, reservoir deformation and electrical resistivity. Bayesian inference and a Metropolis simulation algorithm form the basis for this approach. The method can (a) jointly reconstruct disparate data types such as surface or subsurface tilt, electrical resistivity, and injected CO{sub 2} volume measurements, (b) provide quantitative measures of the result uncertainty, (c) identify competing models when the available data are insufficient to definitively identify a single optimal model and (d) rank the alternative models based on how well they fit available data. We present results from general simulations of a hypothetical case derived from a real site. We also apply the technique to a field in Wyoming, where measurements collected during CO{sub 2} injection for enhanced oil recovery serve to illustrate the method's performance. The stochastic inversions provide estimates of the most probable location, shape, volume of the plume and most likely CO{sub 2

  20. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis

    2005-09-01

    A Consortium, designed to assemble leaders in gas hydrates research, has been established at the University of Mississippi's Center for Marine Resources and Environmental Technology, CMRET. The primary objective of the group is to design and emplace a remote monitoring station on the sea floor in the northern Gulf of Mexico by the year 2005, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission necessitates assembling a station that will monitor physical and chemical parameters of the sea water and sea floor sediments on a more-or-less continuous basis over an extended period of time. Development of the station allows for the possibility of expanding its capabilities to include biological monitoring, as a means of assessing environmental health. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in this relatively new research arena. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. Noteworthy achievements six months into the extended life of this cooperative agreement include: (1) Progress on the vertical line array (VLA) of sensors: Analysis and repair attempts of the VLA used in the deep water deployment during October 2003 have been completed; Definition of an interface protocol for the VLA DATS to the SFO has been established; Design modifications to allow integration of the VLA to the SFO have been made; Experience gained in the deployments of the first VLA is being applied to the design of the next VLAs; One of the two planned new VLAs being modified to serve as an Oceanographic Line Array (OLA). (2) Progress on the Sea Floor Probe: The decision to replace the Sea Floor Probe technology with the borehole emplacement of a geophysical array was reversed due to the 1300m water depth at the JIP

  1. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis; Bob A. Hardage; Jeffrey Chanton; Rudy Rogers

    2006-03-01

    The Gulf of Mexico Hydrates Research Consortium was established in 1999 to assemble leaders in gas hydrates research. The group is administered by the Center for Marine Resources and Environmental Technology, CMRET, at the University of Mississippi. The primary objective of the group is to design and emplace a remote monitoring station or sea floor observatory on the sea floor in the northern Gulf of Mexico by the year 2005, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission necessitates assembling a station that will monitor physical and chemical parameters of the sea water and sea floor sediments on a more-or-less continuous basis over an extended period of time. Development of the station has always included the possibility of expanding its capabilities to include biological monitoring, as a means of assessing environmental health. This possibility has recently received increased attention and the group of researchers working on the station has expanded to include several microbial biologists. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in this relatively new research arena. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. Initial components of the observatory, a probe that collects pore-fluid samples and another that records sea floor temperatures, were deployed in Mississippi Canyon 118 in May of 2005. Follow-up deployments are planned for fall 2005 and center about the use of the vessel M/V Ocean Quest and its two manned submersibles. The subs will be used to effect bottom surveys, emplace sensors and sea floor experiments and make connections between sensor data loggers and the integrated data power unit (IDP). Station/observatory completion is anticipated for 2007 following the

  2. Effects of different SSI parameters on the floor response spectra of a nuclear Reactor Building

    SciTech Connect

    Kabir, A.F.; Maryak, M.E.; Malik, L.E.

    1991-12-31

    The effects of several critical soil-structure interaction (SSI) parameters on the floor response spectra (FRS) of a typical nuclear Reactor Building have been examined. These parameters are deconvolution effects (reductions in ground motion with depth), strain dependency of soil dynamic properties and calculation of impedance functions using different approaches. The significant conclusions of the study, which are applicable to a deeply embedded very rigid nuclear Reactor Building, are as follows: (1) FRS generated without considering scattering effects are highly conservative; (2) Differences between FRS, generated considering strain-dependency of soil dynamic properties, and those generated using low-strain values, are not significant; and (3) the lumped-parameter approach of SSI calculations, which only uses a single value of soil shear modulus in impedance calculations, may not be able to properly compute the soil impedances for a soil deposit with irregularly varying properties with depth. An SSI approach, which can explicitly consider these variations, needs to be used in FRS calculations in such cases.

  3. Effects of different SSI parameters on the floor response spectra of a nuclear Reactor Building

    SciTech Connect

    Kabir, A.F.; Maryak, M.E.; Malik, L.E.

    1991-01-01

    The effects of several critical soil-structure interaction (SSI) parameters on the floor response spectra (FRS) of a typical nuclear Reactor Building have been examined. These parameters are deconvolution effects (reductions in ground motion with depth), strain dependency of soil dynamic properties and calculation of impedance functions using different approaches. The significant conclusions of the study, which are applicable to a deeply embedded very rigid nuclear Reactor Building, are as follows: (1) FRS generated without considering scattering effects are highly conservative; (2) Differences between FRS, generated considering strain-dependency of soil dynamic properties, and those generated using low-strain values, are not significant; and (3) the lumped-parameter approach of SSI calculations, which only uses a single value of soil shear modulus in impedance calculations, may not be able to properly compute the soil impedances for a soil deposit with irregularly varying properties with depth. An SSI approach, which can explicitly consider these variations, needs to be used in FRS calculations in such cases.

  4. Nonlinear dynamic response of submarine pipelines in contact with the ocean floor

    SciTech Connect

    Chung, C.K.

    1986-01-01

    The nonlinear dynamic response of a submarine pipeline to wave and current excitation is investigated by the finite-element method. The pipeline, in contact with soft clay on the ocean floor, is modeled as a continuous beam. Small-deflection theory with geometric stiffening is employed. Pipeline tension, used in the geometric stiffness matrix, is calculated using pipeline stretch. The hydrodynamic forces are calculated using the modified Morison equation. The excitation involves a long-crested regular wave propagating perpendicular to the pipeline axis with or with out the current. The distributed drag and lift forces are converted into multisegment concentrated forces by means of the beam shape functions, and the inertia force is treated as a uniformly distributed force on each element. The soil-resistance forces due to lateral sliding on a plane surface are calculated using either an elasto-plastic or a hysteretic pipeline-soil interaction model. The Newmark Method is used to integrate the nonlinear equations of dynamic equilibrium using an iterative scheme within each time step. It is found from this study that the use of geometric stiffness is necessary for pipelines in a marine environment. The significant effect of geometric stiffening on pipeline responses for cases involving current is demonstrated.

  5. Inspection of the objects on the sea floor by using 14 MeV tagged neutrons

    SciTech Connect

    Valkovic, V.; Sudac, D.; Obhodas, J.; Matika, D.; Kollar, R.; Nad, K.; Orlic, Z.

    2011-07-01

    Variety of objects found on the sea floor needs to be inspected for the presence of materials which represent the threat to the environment and to the safety of humans. We have demonstrated that the sealed tube 14 MeV neutron generator with the detection of associated alpha particles can be used underwater when mounted inside ROV equipped with the hydraulic legs and variety of sensors for the inspection of such objects for the presence of threat materials. Such a system is performing the measurement by using the NaI gamma detector and an API-120 neutron generator which could be rotated in order to maximize the inspected target volume. The neutron beam intensity during the 10-30 min. measurements is usually 1 x 10{sup 7} n/s in 4{pi}. In this report the experimental results for some of commonly found objects containing TNT explosive or its simulant are presented. The measured gamma spectra are dominant by C, O and Fe peaks enabling the determination of the presence of explosives inside the ammunition shell. Parameters influencing the C/O ratio are discussed in some details. (authors)

  6. Support of Gulf of Mexico Hydrate Research Consortium: Activities to Support Establishment of a Sea Floor Monitoring Station Project

    SciTech Connect

    J. Robert Woolsey; Thomas M. McGee; Carol Blanton Lutken; Elizabeth Stidham

    2007-03-31

    The Gulf of Mexico Hydrates Research Consortium (GOM-HRC) was established in 1999 to assemble leaders in gas hydrates research. The Consortium is administered by the Center for Marine Resources and Environmental Technology, CMRET, at the University of Mississippi. The primary objective of the group is to design and emplace a remote monitoring station or sea floor observatory (MS/SFO) on the sea floor in the northern Gulf of Mexico by the year 2007, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission, although unavoidably delayed by hurricanes and other disturbances, necessitates assembling a station that will monitor physical and chemical parameters of the marine environment, including sea water and sea-floor sediments, on a more-or-less continuous basis over an extended period of time. In 2005, biological monitoring, as a means of assessing environmental health, was added to the mission of the MS/SFO. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in the arena of gas hydrates research. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. The observatory has now achieved a microbial dimension in addition to the geophysical, geological, and geochemical components it had already included. Initial components of the observatory, a probe that collects pore-fluid samples and another that records sea floor temperatures, were deployed in Mississippi Canyon 118 (MC118) in May of 2005. Follow-up deployments, planned for fall 2005, had to be postponed due to the catastrophic effects of Hurricane Katrina (and later, Rita) on the Gulf Coast. Station/observatory completion, anticipated for 2007, will likely be delayed by at least one year. These delays caused scheduling and deployments difficulties but many

  7. Thermal stratification in direct gain passive heating systems with variable heating of the floor and one vertical wall

    SciTech Connect

    Anderson, R.S.; Fisher, E.M.; Bohn, M.S.

    1985-09-01

    This paper reports the results of an experimental study that used a 1/4-scale, water-filled test cell to examine the effect of the natural convection flows created by horizontal and vertical heated surfaces upon thermal stratification in a single-zone enclosure. The study covered the range from pure floor heating to pure wall heating, including various levels of combined floor and wall heating. The presence of a cold window or thermal storage surface was simulated by cooling the wall directly opposite the heated vertical wall. Flow visualization studies were carried out to determine the structure of the flow in the test cell. Correlations are reported for heat transfer, temperature distributions, and thermal stratification as a function of the relative amount of heating that was provided to the floor and wall of the test cell. The results of the study can be used to predict the flow patterns, energy transfer, and levels of thermal stratification that occur in direct gain solar systems that are dominated by natural convection.

  8. Effect of State Policy Suites on the Development of Solar Markets

    SciTech Connect

    Steward, D.; Doris, E.

    2014-11-01

    There are an increasing number of state and local policy initiatives with the goal of encouraging private investment and building robust solar photovoltaic (PV) markets. While some states have seen many-fold increases in solar PV installations over the last decade, many other states, some with very similar policies, have been less successful. The lack of a clear relationship between implementation of specific policies and increases in solar installations has been challenging to policymakers seeking to support such markets within their jurisdictions. This paper builds on recent work that has aimed at clarifying the relationships between policy implementation and successful solar PV markets.

  9. Verification Challenges at Low Numbers

    SciTech Connect

    Benz, Jacob M.; Booker, Paul M.; McDonald, Benjamin S.

    2013-06-01

    Many papers have dealt with the political difficulties and ramifications of deep nuclear arms reductions, and the issues of “Going to Zero”. Political issues include extended deterrence, conventional weapons, ballistic missile defense, and regional and geo-political security issues. At each step on the road to low numbers, the verification required to ensure compliance of all parties will increase significantly. Looking post New START, the next step will likely include warhead limits in the neighborhood of 1000 . Further reductions will include stepping stones at1000 warheads, 100’s of warheads, and then 10’s of warheads before final elimination could be considered of the last few remaining warheads and weapons. This paper will focus on these three threshold reduction levels, 1000, 100’s, 10’s. For each, the issues and challenges will be discussed, potential solutions will be identified, and the verification technologies and chain of custody measures that address these solutions will be surveyed. It is important to note that many of the issues that need to be addressed have no current solution. In these cases, the paper will explore new or novel technologies that could be applied. These technologies will draw from the research and development that is ongoing throughout the national laboratory complex, and will look at technologies utilized in other areas of industry for their application to arms control verification.

  10. Continuous sea-floor spreading in Red Sea: an alternative interpretation of magnetic anomaly pattern

    SciTech Connect

    La Brecque, J.L.; Zitellini

    1985-04-01

    The magnetic anomaly pattern over the Red Sea can be modeled as a continuous system of sea-floor spreading from the early Miocene to the present by using a timevarying process filter. The half spreading rate is approximately 1 cm/yr (0.4 in./yr) since initial rifting. The parameters that determine the process filter and development of the transition zone are the intrusion parameter (a measure of the dispersion of feeder dikes or horizontal strain about the rift axis), a flow parameter (a measure of the average flow width), and the effusion parameter (a measure of the volcanic effusion and thickness of layer 2). The authors estimate the flow parameter to be 2.7km(1.7 mi) and the intrusion parameter to be 7.5km(4.7 mi) at early rifting. These values suggest that a wide distribution of axial dikes or horizontal strain is the dominant factor in forming the magnetic anomaly pattern. Reduction in the width of the intrusion parameter and the effusion rate as rifting proceeded resulted in focusing of the strain, thinning of layer 2, and formation of the Red Sea deeps. Their modeling suggests that phase 2, or the stratoid phase, began about the time of anomaly 5C or chron C5C approximately 16 Ma. This age is compatible with geologic estimates of the initial rifting at the late Oligocene to early Miocene (Coleman, 1974; Gass, 1977). The opening rate for Africa-Arabia plate motion has remained relatively constant since early rifting although the African margin appears to be accreting faster than the Arabian plate.

  11. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    J. Robert Woolsey; Tom McGee; Carol Lutken; Elizabeth Stidham

    2006-06-01

    The Gulf of Mexico Hydrates Research Consortium (GOM-HRC) was established in 1999 to assemble leaders in gas hydrates research. The Consortium is administered by the Center for Marine Resources and Environmental Technology, CMRET, at the University of Mississippi. The primary objective of the group is to design and emplace a remote monitoring station or sea floor observatory (MS/SFO) on the sea floor in the northern Gulf of Mexico by the year 2007, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission, although unavoidably delayed by hurricanes and other disturbances, necessitates assembling a station that will monitor physical and chemical parameters of the marine environment, including sea water and sea-floor sediments, on a more-or-less continuous basis over an extended period of time. In 2005, biological monitoring, as a means of assessing environmental health was added to the mission of the MS/SFO. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in the arena of gas hydrates research. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. The observatory has now achieved a microbial dimension in addition to the geophysical and geochemical components it had already included. Initial components of the observatory, a probe that collects pore-fluid samples and another that records sea floor temperatures, were deployed in Mississippi Canyon 118 in May of 2005. Follow-up deployments, planned for fall 2005, had to be postponed due to the catastrophic effects of Hurricane Katrina (and later, Rita) on the Gulf Coast. Every effort was made to locate and retain the services of a suitable vessel and submersibles or Remotely Operated Vehicles (ROVs) following the storms and the loss of the contracted vessel

  12. SPARTA Stochastic Particle Real Time Analyzer Validation and Verification Test Suite.

    SciTech Connect

    Gallis, Michail A.; Koehler, Timothy; Plimpton, Steven J.

    2014-10-01

    This report presents the test cases used to verify, validate and demonstrate the features and capabilities of the first release of the 3D Direct Simulation Monte Carlo ( DSMC ) code SPARTA (Stochastic Real Time Particle Analyzer). The test cases included in this report exercise the most critical capabilities of the code like the accurate representation of physical phenomena (molecular advection and collisions, energy conservation , etc.) and implementation of numerical methods (grid adaptation, load balancing, etc.) . Several test cases of simple flow examples are shown to demonstrate that the code can reproduce phenomena predicted by an alytical solutions and theory. A number of add itional test cases are presented to illustrate the ability of SPARTA to model flow around complicated shapes. In these cases, the results are compared to other well - est ablished codes or theoretical predictions. This compi lation of test cases is not exha u s t ive , and it is anticipated that more cases will be added in the future.

  13. A summary of recent refinements to the WAKE dispersion model, a component of the HGSYSTEM/UF{sub 6} model suite

    SciTech Connect

    Yambert, M.W.; Lombardi, D.A.; Goode, W.D. Jr.; Bloom, S.G.

    1998-08-01

    The original WAKE dispersion model a component of the HGSYSTEM/UF{sub 6} model suite, is based on Shell Research Ltd.`s HGSYSTEM Version 3.0 and was developed by the US Department of Energy for use in estimating downwind dispersion of materials due to accidental releases from gaseous diffusion plant (GDP) process buildings. The model is applicable to scenarios involving both ground-level and elevated releases into building wake cavities of non-reactive plumes that are either neutrally or positively buoyant. Over the 2-year period since its creation, the WAKE model has been used to perform consequence analyses for Safety Analysis Reports (SARs) associated with gaseous diffusion plants in Portsmouth (PORTS), Paducah (PGDP), and Oak Ridge. These applications have identified the need for additional model capabilities (such as the treatment of complex terrain and time-variant releases) not present in the original utilities which, in turn, has resulted in numerous modifications to these codes as well as the development of additional, stand-alone postprocessing utilities. Consequently, application of the model has become increasingly complex as the number of executable, input, and output files associated with a single model run has steadily grown. In response to these problems, a streamlined version of the WAKE model has been developed which integrates all calculations that are currently performed by the existing WAKE, and the various post-processing utilities. This report summarizes the efforts involved in developing this revised version of the WAKE model.

  14. Implementation of Remaining Useful Lifetime Transformer Models in the Fleet-Wide Prognostic and Health Management Suite

    SciTech Connect

    Agarwal, Vivek; Lybeck, Nancy J.; Pham, Binh; Rusaw, Richard; Bickford, Randall

    2015-02-01

    Research and development efforts are required to address aging and reliability concerns of the existing fleet of nuclear power plants. As most plants continue to operate beyond the license life (i.e., towards 60 or 80 years), plant components are more likely to incur age-related degradation mechanisms. To assess and manage the health of aging plant assets across the nuclear industry, the Electric Power Research Institute has developed a web-based Fleet-Wide Prognostic and Health Management (FW-PHM) Suite for diagnosis and prognosis. FW-PHM is a set of web-based diagnostic and prognostic tools and databases, comprised of the Diagnostic Advisor, the Asset Fault Signature Database, the Remaining Useful Life Advisor, and the Remaining Useful Life Database, that serves as an integrated health monitoring architecture. The main focus of this paper is the implementation of prognostic models for generator step-up transformers in the FW-PHM Suite. One prognostic model discussed is based on the functional relationship between degree of polymerization, (the most commonly used metrics to assess the health of the winding insulation in a transformer) and furfural concentration in the insulating oil. The other model is based on thermal-induced degradation of the transformer insulation. By utilizing transformer loading information, established thermal models are used to estimate the hot spot temperature inside the transformer winding. Both models are implemented in the Remaining Useful Life Database of the FW-PHM Suite. The Remaining Useful Life Advisor utilizes the implemented prognostic models to estimate the remaining useful life of the paper winding insulation in the transformer based on actual oil testing and operational data.

  15. Developing and Enhancing Workforce Training Programs: Number...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Developing and Enhancing Workforce Training Programs: Number of Projects by State Developing and Enhancing Workforce Training Programs: Number of Projects by State Map of the ...

  16. Using the BEopt Automated Residential Simulation Test Suite to Enable Comparative Analysis Between Energy Simulation Engines: Preprint

    SciTech Connect

    Tabares-Velasco, P. C.; Maguire, J.; Horowitz, S.; Christensen, C.

    2014-09-01

    Verification and validation are crucial software quality control procedures when developing and implementing models. This is particularly important as a variety of stakeholders rely on accurate predictions from building simulation programs. This study uses the BEopt Automated Residential Simulation Test Suite (BARTS) to facilitate comparison of two energy simulation engines across various building components and includes models that isolate the impacts of specific building components on annual energy consumption. As a case study, BARTS has been used to identify important discrepancies between the engines for several components of the building models; these discrepancies are caused by differences in the models used by the engines or coding errors.

  17. Using the Beopt Automated Residential Simulation Test Suite to Enable Comparative Analysis Between Energy Simulation Engines: Preprint

    SciTech Connect

    Tabares-Velasco, Paulo Cesar; Maguire, Jeff; Horowitz, Scott; Christensen, Craig

    2014-09-01

    Verification and validation are crucial software quality control procedures to follow when developing and implementing models. This is particularly important because a variety of stakeholders rely on accurate predictions from building simulation programs. This study uses the BEopt Automated Residential Simulation Test Suite (BARTS) to facilitate comparison of two energy simulation engines across various building components and includes building models that isolate the impacts of specific components on annual energy consumption. As a case study, BARTS has been used to identify important discrepancies between the engines for several components of the building models. These discrepancies are caused by differences in the algorithms used by the engines or coding errors.

  18. LLW Notes, Volume 12, Number 9

    SciTech Connect

    Norris, C.; Brown, H.; Gedden, R.; Lovinger, T.

    1997-12-01

    Contents include articles entitled: Senators criticize DOE use of Envirocare and Molten Metal; Officials express concern re implications of WCS ruling; DOE files notice of appeal in WCS suit; WCS responds to critics re implications of ruling; Background: Prior correspondence between the Senators and DOE re Envirocare; Waste control specialists authorized to conduct additional operations at Texas site; Molten Metal files for bankruptcy protection; Envirocare of Texas receives first approval for hazardous waste permit; Envirocare of Utah applies to NRC for SNM license; NRDC alleges death threats and financial intimidation by Envirocare; DOE and NRC sign off on external regulation pilot program; and NRDC requests Inspector General probe re Envirocare.

  19. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis

    2005-11-01

    A Consortium, designed to assemble leaders in gas hydrates research, has been established at the University of Mississippi's Center for Marine Resources and Environmental Technology, CMRET. The primary objective of the group is to design and emplace a remote monitoring station on the sea floor in the northern Gulf of Mexico by the year 2005, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission necessitates assembling a station that will monitor physical and chemical parameters of the sea water and sea floor sediments on a more-or-less continuous basis over an extended period of time. Development of the station allows for the possibility of expanding its capabilities to include biological monitoring, as a means of assessing environmental health. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in this relatively new research arena. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. Noteworthy achievements one year into the extended life of this cooperative agreement include: (1) Progress on the vertical line array (VLA) of sensors: (1a) Repair attempts of the VLA cable damaged in the October >1000m water depth deployment failed; a new design has been tested successfully. (1b) The acoustic modem damaged in the October deployment was repaired successfully. (1c) Additional acoustic modems with greater depth rating and the appropriate surface communications units have been purchased. (1d) The VLA computer system is being modified for real time communications to the surface vessel using radio telemetry and fiber optic cable. (1e) Positioning sensors--including compass and tilt sensors--were completed and tested. (1f) One of the VLAs has been redesigned to collect near sea floor geochemical data. (2

  20. LLW Notes, Volume 12, Number 6

    SciTech Connect

    Norris, C.; Brown, H.; Gedden, R.; Lovinger, T.; Scheele, L.; Shaker, M.A.

    1997-07-01

    Contents include articles entitled: GAO concludes most Ward Valley SEIS issues previously addressed; Midwest compact halts facility development; Texas publishes proposal to issue WCS radioactive materials license; Central Compact issues export authorizations over NE`s objection; Nebraska governor to host LLRW summit; California regulators reassured re US ecology facility in WA; Southeast Compact augments funding for North Carolina; State and compact calendar of events; IAEA Director General to UN: reexamine nuclear power; DOI convenes meetings on Ward Valley Title VI complaint; California BLM: Tribes fully represented and consulted; MW, NE, and SW file amici curiae briefs in Ward Valley suit; Court denies state`s motion for protective order; WCS files suit against Envirocare and others; States attack DOE`s claim re lack of authority to store spent fuel; House committee passes Texas legislation; Ward Valley land transfer bill introduced in Senate; Senate committee holds hearing on Ward Valley legislation and related GAO report; NRDC threatens to sue DOE re Envirocare; NRC chair criticizes Deputy Interior Secretary`s use of Ward Valley fact sheet; Utility consortium submits license application for storage on Goshute land to NRC; Envirocare cited for SNM violation; EPA begins audit; and EPA rejects Title VI claim re Texas site.

  1. LLW Notes, Volume 12, Number 8

    SciTech Connect

    Norris, C.; Brown, H.; Gedden, R.; Lovinger, T.; Scheele, L.; Shaker, M.A.

    1997-12-31

    Contents include articles entitled: Chem-Nuclear documents new plan for Barnwell; Nebraska releases technical analysis of LLRW facility; Southeast Compact suspends funding for NC facility development; NC governor and Southeast Compact differ on proposed MOU; Midwest Compact to return export fees; State legislators` group revises radioactive waste policy; Internal documents discuss administration`s policy on Ward Valley; BLM issues EA for Ward Valley testing; California DHS, NRC criticize DOI`s testing protocols; Army removes training mines from Ward Valley site; The 1997 gubernatorial elections and a look ahead to 1998; Court throws out case challenging Pennsylvania`s siting law; DOE files notice of appeal in WCS suit; Central Compact moves to dismiss ``Veto`` authority suit; Congress exempts NAS from FACA; Judge sets schedule for Ward Valley case; Court won`t order DOE to accept spent fuel by deadline; NRC chairman expresses concern re CERCLA reauthorization; Senators question EPA`s guidance on remediation; EPA issues guidance, criticizes NRC decommissioning rule; Members of Congress clarify FUSRAP transfer; HLW legislation passes House by wide margin; Takings legislation passes House; Energy and water bill signed into law; and Senate confirms 5 of 6 DOE appointees.

  2. Florida Natural Gas Number of Gas and Gas Condensate Wells (Number...

    Gasoline and Diesel Fuel Update

    Gas and Gas Condensate Wells (Number of Elements) Florida Natural Gas Number of Gas and ...2016 Referring Pages: Number of Producing Gas Wells (Summary) Florida Natural Gas Summary

  3. SUPPORT OF GULF OF MEXICO HYDRATE RESEARCH CONSORTIUM: ACTIVITIES TO SUPPORT ESTABLISHMENT OF A SEA FLOOR MONITORING STATION PROJECT

    SciTech Connect

    Paul Higley; J. Robert Woolsey; Ralph Goodman; Vernon Asper; Boris Mizaikoff; Angela Davis; Bob A. Hardage; Jeffrey Chanton; Rudy Rogers

    2006-05-18

    The Gulf of Mexico Hydrates Research Consortium (GOM-HRC) was established in 1999 to assemble leaders in gas hydrates research. The primary objective of the group has been to design and emplace a remote monitoring station or sea floor observatory (MS/SFO) on the sea floor in the northern Gulf of Mexico by the year 2005, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission, although unavoidably delayed by hurricanes and other disturbances, necessitates assembling a station that will monitor physical and chemical parameters of the sea water and sea floor sediments on a more-or-less continuous basis over an extended period of time. Development of the station has always included the possibility of expanding its capabilities to include biological monitoring, as a means of assessing environmental health. This possibility has recently achieved reality via the National Institute for Undersea Science and Technology's (NIUST) solicitation for proposals for research to be conducted at the MS/SFO. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in the arena of gas hydrates research. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. The observatory has achieved a microbial dimension in addition to the geophysical and geochemical components it had already included. Initial components of the observatory, a probe that collects pore-fluid samples and another that records sea floor temperatures, were deployed in Mississippi Canyon 118 in May of 2005. Follow-up deployments, planned for fall 2005, have had to be postponed and the use of the vessel M/V Ocean Quest and its two manned submersibles sacrificed due to the catastrophic effects of Hurricane Katrina (and later, Rita) on the Gulf Coast. Every effort is being

  4. Support of Gulf of Mexico Hydrate Research Consortium: Activities to Support Establishment of a Sea Floor Monitoring Station Project

    SciTech Connect

    Carol Lutken

    2006-09-30

    The Gulf of Mexico Hydrates Research Consortium (GOM-HRC) was established in 1999 to assemble leaders in gas hydrates research. The Consortium is administered by the Center for Marine Resources and Environmental Technology, CMRET, at the University of Mississippi. The primary objective of the group is to design and emplace a remote monitoring station or sea floor observatory (MS/SFO) on the sea floor in the northern Gulf of Mexico by the year 2007, in an area where gas hydrates are known to be present at, or just below, the sea floor. This mission, although unavoidably delayed by hurricanes and other disturbances, necessitates assembling a station that will monitor physical and chemical parameters of the marine environment, including sea water and sea-floor sediments, on a more-or-less continuous basis over an extended period of time. In 2005, biological monitoring, as a means of assessing environmental health, was added to the mission of the MS/SFO. Establishment of the Consortium has succeeded in fulfilling the critical need to coordinate activities, avoid redundancies and communicate effectively among researchers in the arena of gas hydrates research. Complementary expertise, both scientific and technical, has been assembled to promote innovative research methods and construct necessary instrumentation. The observatory has now achieved a microbial dimension in addition to the geophysical, geological, and geochemical components it had already included. Initial components of the observatory, a probe that collects pore-fluid samples and another that records sea floor temperatures, were deployed in Mississippi Canyon 118 in May of 2005. Follow-up deployments, planned for fall 2005, had to be postponed due to the catastrophic effects of Hurricane Katrina (and later, Rita) on the Gulf Coast. Station/observatory completion, anticipated for 2007, will likely be delayed by at least one year. The CMRET has conducted several research cruises during this reporting period

  5. An independent review of the Multi-Path Redundant Avionics Suite (MPRAS) architecture assessment and characterization report

    SciTech Connect

    Johnson, M.R.

    1991-02-01

    In recent years the NASA Langley Research Center has funded several contractors to conduct conceptual designs defining architectures for fault tolerant computer systems. Such a system is referred to as a Multi-Path Redundant Avionics Suite (MPRAS), and would form the basis for avionics systems that would be used in future families of space vehicles in a variety of missions. The principal contractors were General Dynamics, Boeing, and Draper Laboratories. These contractors participated in a series of review meetings, and submitted final reports defining their candidate architectures. NASA then commissioned the Research Triangle Institute (RTI) to perform an assessment of these architectures to identify strengths and weaknesses of each. This report is a separate, independent review of the RTI assessment, done primarily to assure that the assessment was comprehensive and objective. The report also includes general recommendations relative to further MPRAS development.

  6. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect

    Billman, L.; Keyser, D.

    2013-08-01

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  7. Low Mach Number Models in Computational Astrophysics

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Ann Almgren Low Mach Number Models in Computational Astrophysics February 4, 2014 Ann Almgren. Berkeley Lab Downloads Almgren-nug2014.pdf | Adobe Acrobat PDF file Low Mach Number...

  8. Climate Zone Number 5 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Climate Zone Number 5 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 5 is defined as Cool- Humid(5A) with IP Units 5400...

  9. LANL Go Suite

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    libraries, utilities, and software patches related to Google's Go programming language (http:www.golang.org). September 24, 2013 software Available for thumbnail of...

  10. LBNL LLRF Controls Suite

    Energy Science and Technology Software Center

    2005-03-18

    This package provides a complete set of FPGA logic and driver software for the LBNL Interim SNS (Spallation Neutron Source) LLRF (Low Level Radio Frequency) cavity control system, plus a hardware-software cosimulation framework that can demonstrate correct operation of the code. The controls are organized in a traditional three-tier layout. Tier 1 (hardware access): Verilog code targeted at the XC2S15O FPGA that lies at the center of the custom hardware, Includes a direct digital frequencymore » synthesizer (DDS), a low-latency vector PI feedback control loop, four-channel vector waveform capture, and support for on-board housekeeping circuitry. Tier 2 (network presentation): C code targeted at a 32-bit microcontroller, which has a direct connection to both the FPGA and to Ethemet. This layer is itself divided into a HAL (hardware abstraction layer) to mediate access to the FPGA registers, a driver to organize all the application-specific computations (including a waveform curve fit that determines cavity detuning), and a toy network access protocol. Tier 3 (operator interface): A Tcl program that exchanges data with tier 2, and gives the operator a virtual control panel for the hardware In the production SNS installation, the toy network access protocol and tier 3 are replaced with EPICS (http://www.aps.anl.gov/epics/). The code given here is dramatically smaller and simpler than EPICS, yet gives enough functionality to demonstrate proper operation of an RF cavity. The SNS facility now uses three generations of LLRF control hardware. This package is intended to be used in all of them, but is so far only tested on the second ("Interim") generation hardware. It may also be adaptable to future LLRF projects at LBNL, other National Labs, and worldwide.« less

  11. VE-Suite

    Energy Science and Technology Software Center

    2006-10-01

    an open source virtual engineering software toolkit that simplifies information management so users can simultaneously interact with engineering analyses and graphical models to create a virtual decision-making environment.

  12. On the binary expansions of algebraic numbers

    SciTech Connect

    Bailey, David H.; Borwein, Jonathan M.; Crandall, Richard E.; Pomerance, Carl

    2003-07-01

    Employing concepts from additive number theory, together with results on binary evaluations and partial series, we establish bounds on the density of 1's in the binary expansions of real algebraic numbers. A central result is that if a real y has algebraic degree D > 1, then the number {number_sign}(|y|, N) of 1-bits in the expansion of |y| through bit position N satisfies {number_sign}(|y|, N) > CN{sup 1/D} for a positive number C (depending on y) and sufficiently large N. This in itself establishes the transcendency of a class of reals {summation}{sub n{ge}0} 1/2{sup f(n)} where the integer-valued function f grows sufficiently fast; say, faster than any fixed power of n. By these methods we re-establish the transcendency of the Kempner--Mahler number {summation}{sub n{ge}0}1/2{sup 2{sup n}}, yet we can also handle numbers with a substantially denser occurrence of 1's. Though the number z = {summation}{sub n{ge}0}1/2{sup n{sup 2}} has too high a 1's density for application of our central result, we are able to invoke some rather intricate number-theoretical analysis and extended computations to reveal aspects of the binary structure of z{sup 2}.

  13. High-speed quantum-random number generation by continuous measurement of arrival time of photons

    SciTech Connect

    Yan, Qiurong; Zhao, Baosheng; Hua, Zhang; Liao, Qinghong; Yang, Hao

    2015-07-15

    We demonstrate a novel high speed and multi-bit optical quantum random number generator by continuously measuring arrival time of photons with a common starting point. To obtain the unbiased and post-processing free random bits, the measured photon arrival time is converted into the sum of integral multiple of a fixed period and a phase time. Theoretical and experimental results show that the phase time is an independent and uniform random variable. A random bit extraction method by encoding the phase time is proposed. An experimental setup has been built and the unbiased random bit generation rate could reach 128 Mb/s, with random bit generation efficiency of 8 bits per detected photon. The random numbers passed all tests in the statistical test suite.

  14. Self-correcting random number generator

    DOEpatents

    Humble, Travis S.; Pooser, Raphael C.

    2016-09-06

    A system and method for generating random numbers. The system may include a random number generator (RNG), such as a quantum random number generator (QRNG) configured to self-correct or adapt in order to substantially achieve randomness from the output of the RNG. By adapting, the RNG may generate a random number that may be considered random regardless of whether the random number itself is tested as such. As an example, the RNG may include components to monitor one or more characteristics of the RNG during operation, and may use the monitored characteristics as a basis for adapting, or self-correcting, to provide a random number according to one or more performance criteria.

  15. Utah Natural Gas Number of Gas and Gas Condensate Wells (Number...

    Energy Information Administration (EIA) (indexed site)

    Gas and Gas Condensate Wells (Number of Elements) Utah Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  16. Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number...

    Energy Information Administration (EIA) (indexed site)

    Gas and Gas Condensate Wells (Number of Elements) Wyoming Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  17. ARM - Measurement - Cloud particle number concentration

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    number concentration ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Cloud particle number concentration The total number of cloud particles present in any given volume of air. Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available

  18. Particle Number & Particulate Mass Emissions Measurements on...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Heavy-duty Engine using the PMP Methodologies Particle Number & Particulate Mass Emissions Measurements on a 'Euro VI' Heavy-duty Engine using the PMP Methodologies Poster ...

  19. Calculating Atomic Number Densities for Uranium

    Energy Science and Technology Software Center

    1993-01-01

    Provides method to calculate atomic number densities of selected uranium compounds and hydrogenous moderators for use in nuclear criticality safety analyses at gaseous diffusion uranium enrichment facilities.

  20. Identification of Export Control Classification Number - ITER

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of Export Control Classification Number - ITER (April 2012) As the "Shipper of Record" ... be shipped from the United States to the ITER International Organization in Cadarache, ...

  1. SHERATON STATION SQUARE FLOOR PLAN FIRST FLOOR

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Slipstream Pilot-Scale Demonstration of a Novel Amine-Based Post-Combustion Process Technology for CO 2 Capture from Coal-Fired Power Plant Flue Gas (FE0007453) Krish ...

  2. Dispersion of UO{sub 2}F{sub 2} aerosol and HF vapor in the operating floor during winter ventilation at the Paducah Gaseous Diffusion Plant

    SciTech Connect

    Kim, S.H.; Chen, N.C.J.; Taleyarkhan, R.P.; Keith, K.D.; Schmidt, R.W.; Carter, J.C.

    1996-12-30

    The gaseous diffusion process is currently employed at two plants in the US: the Paducah Gaseous Diffusion Plant and the Portsmouth Gaseous Diffusion Plant. As part of a facility-wide safety evaluation, a postulated design basis accident involving large line-rupture induced releases of uranium hexafluoride (UF{sub 6}) into the process building of a gaseous diffusion plant (GDP) is evaluated. When UF{sub 6} is released into the atmosphere, it undergoes an exothermic chemical reaction with moisture (H{sub 2}O) in the air to form vaporized hydrogen fluoride (HF) and aerosolized uranyl fluoride (UO{sub 2}F{sub 2}). These reactants disperse in the process building and transport through the building ventilation system. The ventilation system draws outside air into the process building, distributes it evenly throughout the building, and discharges it to the atmosphere at an elevated temperature. Since air is recirculated from the cell floor area to the operating floor, issues concerning in-building worker safety and evacuation need to be addressed. Therefore, the objective of this study is to evaluate the transport of HF vapor and UO{sub 2}F{sub 2} aerosols throughout the operating floor area following B-line break accident in the cell floor area.

  3. Compendium of Experimental Cetane Number Data

    SciTech Connect

    Murphy, M. J.; Taylor, J. D.; McCormick, R. L.

    2004-09-01

    In this report, we present a compilation of reported cetane numbers for pure chemical compounds. The compiled database contains cetane values for 299 pure compounds, including 156 hydrocarbons and 143 oxygenates. Cetane number is a relative ranking of fuels based on the amount of time between fuel injection and ignition. The cetane number is typically measured either in a combustion bomb or in a single-cylinder research engine. This report includes cetane values from several different measurement techniques - each of which has associated uncertainties. Additionally, many of the reported values are determined by measuring blending cetane numbers, which introduces significant error. In many cases, the measurement technique is not reported nor is there any discussion about the purity of the compounds. Nonetheless, the data in this report represent the best pure compound cetane number values available from the literature as of August 2004.

  4. LLW Notes, Volume 12, Number 4

    SciTech Connect

    Norris, C.; Brown, H.; Gedden, R.; Lovinger, T.; Scheele, L.; Shaker, M.A.

    1997-04-01

    Contents include articles entitled: Texas Authority`s funding pending before conference committee: Auditor`s report favors authority; Revisions likely for Illinois siting law; Midwest Compact votes on Ohio fundings: Less approved than requested; Walter Sturgeon named executive director of North Carolina authority; New forum participant for Massachusetts; CRCPD holds fifth workshop for LLRW regulators; DOD generators hold annual meeting; State legislators` LLRW working group meets; NRC Chairman Jackson responds to proposal to amend the Policy Act; US Ecology uses to recover costs and lost profits and/or to compel Ward Valley land transfer; New suit against Envirocare and others alleges unlawful business practices; Federal court finds line-item veto unconstitutional; States/utilities seek to escrow nuclear waste payments; High-level waste bill passes Senate; NRC releases decommissioning rule; EPA Region VI re La Paz Agreement; EPA, NRC debate NRC`s decommissioning rule: No progress re approaches to risk harmonization; and Mousseau heads DOE`s national low-level waste management program.

  5. Mo Year Report Period: EIA ID NUMBER:

    Energy Information Administration (EIA) (indexed site)

    Mo Year Report Period: EIA ID NUMBER: http:www.eia.govsurveyformeia14instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https:...

  6. Identification of Export Control Classification Number - ITER

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    of Export Control Classification Number - ITER (April 2012) As the "Shipper of Record" please provide the appropriate Export Control Classification Number (ECCN) for the products (equipment, components and/or materials) and if applicable the nonproprietary associated installation/maintenance documentation that will be shipped from the United States to the ITER International Organization in Cadarache, France or to ITER Members worldwide on behalf of the Company. In rare instances an

  7. WIPP Documents - All documents by number

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Note: Documents that do not have document numbers are not included in this listing. Large file size alert This symbol means the document may be a large file size. All documents by number Common document prefixes DOE/CAO DOE/TRU DOE/CBFO DOE/WIPP DOE/EA NM DOE/EIS Other DOE/CAO Back to top DOE/CAO 95-1095, Oct. 1995 Remote Handled Transuranic Waste Study This study was conducted to satisfy the requirements defined by the WIPP Land Withdrawal Act and considered by DOE to be a prudent exercise in

  8. Approximate resolution of hard numbering problems

    SciTech Connect

    Bailleux, O.; Chabrier, J.J.

    1996-12-31

    We present a new method for estimating the number of solutions of constraint satisfaction problems. We use a stochastic forward checking algorithm for drawing a sample of paths from a search tree. With this sample, we compute two values related to the number of solutions of a CSP instance. First, an unbiased estimate, second, a lower bound with an arbitrary low error probability. We will describe applications to the Boolean Satisfiability problem and the Queens problem. We shall give some experimental results for these problems.

  9. Probing lepton number violation on three frontiers

    SciTech Connect

    Deppisch, Frank F. [Department of Physics and Astronomy, University College London (United Kingdom)

    2013-12-30

    Neutrinoless double beta decay constitutes the main probe for lepton number violation at low energies, motivated by the expected Majorana nature of the light but massive neutrinos. On the other hand, the theoretical interpretation of the (non-)observation of this process is not straightforward as the Majorana neutrinos can destructively interfere in their contribution and many other New Physics mechanisms can additionally mediate the process. We here highlight the potential of combining neutrinoless double beta decay with searches for Tritium decay, cosmological observations and LHC physics to improve the quantitative insight into the neutrino properties and to unravel potential sources of lepton number violation.

  10. U.S. Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) U.S. Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 181,241 195,869 203,990 215,815 215,867 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) U.S. Natural

  11. South Dakota Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) South Dakota Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 72 69 74 68 65 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) South Dakota Natural Gas

  12. New Mexico Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) New Mexico Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 12,887 13,791 14,171 14,814 14,580 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) New Mexico

  13. New York Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) New York Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 988 1,170 1,589 1,731 1,697 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) New York Natural Gas

  14. North Dakota Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) North Dakota Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 5,561 7,379 9,363 11,532 12,799 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) North Dakota

  15. West Virginia Natural Gas Number of Oil Wells (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Oil Wells (Number of Elements) West Virginia Natural Gas Number of Oil Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 2,373 2,509 2,675 2,606 2,244 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Gas Producing Oil Wells Number of Gas Producing Oil Wells (Summary) West Virginia

  16. The 17 GHz active region number

    SciTech Connect

    Selhorst, C. L.; Pacini, A. A.; Costa, J. E. R.; Gimnez de Castro, C. G.; Valio, A.; Shibasaki, K.

    2014-08-01

    We report the statistics of the number of active regions (NAR) observed at 17 GHz with the Nobeyama Radioheliograph between 1992, near the maximum of cycle 22, and 2013, which also includes the maximum of cycle 24, and we compare with other activity indexes. We find that NAR minima are shorter than those of the sunspot number (SSN) and radio flux at 10.7 cm (F10.7). This shorter NAR minima could reflect the presence of active regions generated by faint magnetic fields or spotless regions, which were a considerable fraction of the counted active regions. The ratio between the solar radio indexes F10.7/NAR shows a similar reduction during the two minima analyzed, which contrasts with the increase of the ratio of both radio indexes in relation to the SSN during the minimum of cycle 23-24. These results indicate that the radio indexes are more sensitive to weaker magnetic fields than those necessary to form sunspots, of the order of 1500 G. The analysis of the monthly averages of the active region brightness temperatures shows that its long-term variation mimics the solar cycle; however, due to the gyro-resonance emission, a great number of intense spikes are observed in the maximum temperature study. The decrease in the number of these spikes is also evident during the current cycle 24, a consequence of the sunspot magnetic field weakening in the last few years.

  17. Climate Zone Number 1 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Zone Number 1 is defined as Very Hot - Humid(1A) with IP Units 9000 < CDD50F and SI Units 5000 < CDD10C Dry(1B) with IP Units 9000 < CDD50F and SI Units 5000 < CDD10C...

  18. Nevada Number of Natural Gas Consumers

    Annual Energy Outlook

    760,391 764,435 772,880 782,759 794,150 808,970 1987-2014 Sales 764,435 772,880 782,759 794,150 808,970 1997-2014 Commercial Number of Consumers 41,303 40,801 40,944 41,192 41,710 ...

  19. Washington Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

    059,239 1,067,979 1,079,277 1,088,762 1,102,318 1,118,193 1987-2014 Sales 1,067,979 1,079,277 1,088,762 1,102,318 1,118,193 1997-2014 Commercial Number of Consumers 98,965 99,231...

  20. North Carolina Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

    ,102,001 1,115,532 1,128,963 1,142,947 1,161,398 1,183,152 1987-2014 Sales 1,115,532 1,128,963 1,142,947 1,161,398 1,183,152 1997-2014 Commercial Number of Consumers 113,630...

  1. Pennsylvania Number of Natural Gas Consumers

    Annual Energy Outlook

    1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 618 606 604 540 627 666 1967-2014 Industrial Number of Consumers 4,745 4,624 5,007 5,066 5,024 5,084 1987-2014...

  2. The New Element Curium (Atomic Number 96)

    DOE R&D Accomplishments

    Seaborg, G. T.; James, R. A.; Ghiorso, A.

    1948-00-00

    Two isotopes of the element with atomic number 96 have been produced by the helium-ion bombardment of plutonium. The name curium, symbol Cm, is proposed for element 96. The chemical experiments indicate that the most stable oxidation state of curium is the III state.

  3. Oklahoma Number of Natural Gas Consumers

    Annual Energy Outlook

    924,745 914,869 922,240 927,346 931,981 937,237 1987-2014 Sales 914,869 922,240 927,346 931,981 937,237 1997-2014 Transported 0 0 0 0 0 1997-2014 Commercial Number of Consumers ...

  4. New Mexico Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

    560,479 559,852 570,637 561,713 572,224 614,313 1987-2014 Sales 559,825 570,592 561,652 572,146 614,231 1997-2014 Transported 27 45 61 78 82 1997-2014 Commercial Number of...

  5. Kansas Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

    855,454 853,842 854,730 854,800 858,572 861,092 1987-2014 Sales 853,842 854,730 854,779 858,546 861,066 1997-2014 Transported 0 0 21 26 26 2004-2014 Commercial Number of Consumers...

  6. New Hampshire Number of Natural Gas Consumers

    Annual Energy Outlook

    96,924 95,361 97,400 99,738 98,715 99,146 1987-2014 Sales 95,360 97,400 99,738 98,715 99,146 1997-2014 Transported 1 0 0 0 0 2010-2014 Commercial Number of Consumers 16,937 16,645 ...

  7. Minnesota Number of Natural Gas Consumers

    Annual Energy Outlook

    423,703 1,429,681 1,436,063 1,445,824 1,459,134 1,472,663 1987-2014 Sales 1,429,681 1,436,063 1,445,824 1,459,134 1,472,663 1997-2014 Commercial Number of Consumers 131,801 132,163 ...

  8. Energy By The Numbers: An Energy Revolution | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy By The Numbers: An Energy Revolution Energy By The Numbers: An Energy Revolution

  9. Louisiana Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    893,400 897,513 963,688 901,635 903,686 888,023 1987-2015 Sales 893,400 897,513 963,688 901,635 903,686 888,023 1997-2015 Transported 0 0 0 0 0 0 1997-2015 Commercial Number of Consumers 58,562 58,749 63,381 59,147 58,996 57,873 1987-2015 Sales 58,501 58,685 63,256 58,985 58,823 57,695 1998-2015 Transported 61 64 125 162 173 178 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 461 441 415 488 530 515 1967-2015 Industrial Number of Consumers 942 920 963 916 883 845 1987-2015 Sales

  10. Maine Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    21,142 22,461 23,555 24,765 27,047 31,011 1987-2015 Sales 21,141 22,461 23,555 24,765 27,047 31,011 1997-2015 Transported 1 0 0 0 0 0 2010-2015 Commercial Number of Consumers 9,084 9,681 10,179 11,415 11,810 11,888 1987-2015 Sales 7,583 8,081 8,388 9,481 9,859 10,216 1998-2015 Transported 1,501 1,600 1,791 1,934 1,951 1,672 1999-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 642 681 718 714 765 847 1967-2015 Industrial Number of Consumers 94 102 108 120 126 136 1987-2015 Sales 26 29

  11. Mississippi Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    436,840 442,479 442,840 445,589 440,252 439,359 1987-2015 Sales 436,840 439,511 440,171 442,974 440,252 439,359 1997-2015 Transported 0 2,968 2,669 2,615 0 0 2010-2015 Commercial Number of Consumers 50,537 50,636 50,689 50,153 49,911 49,821 1987-2015 Sales 50,503 50,273 50,360 49,829 49,870 49,766 1998-2015 Transported 34 363 329 324 41 55 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 419 400 352 388 445 395 1967-2015 Industrial Number of Consumers 980 982 936 933 943 930

  12. Missouri Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    348,549 1,342,920 1,389,910 1,357,740 1,363,286 1,369,204 1987-2015 Sales 1,348,549 1,342,920 1,389,910 1,357,740 1,363,286 1,369,204 1997-2015 Transported 0 0 0 0 0 0 2010-2015 Commercial Number of Consumers 138,670 138,214 144,906 142,495 143,134 141,216 1987-2015 Sales 137,342 136,843 143,487 141,047 141,587 140,144 1998-2015 Transported 1,328 1,371 1,419 1,448 1,547 1,072 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 441 451 378 453 509 435 1967-2015 Industrial Number of

  13. Montana Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    257,322 259,046 259,957 262,122 265,849 269,766 1987-2015 Sales 256,841 258,579 259,484 261,637 265,323 269,045 1997-2015 Transported 481 467 473 485 526 721 2005-2015 Commercial Number of Consumers 34,002 34,305 34,504 34,909 35,205 35,777 1987-2015 Sales 33,652 33,939 33,967 34,305 34,558 35,022 1998-2015 Transported 350 366 537 604 647 755 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 602 651 557 601 612 541 1967-2015 Industrial Number of Consumers 384 381 372 372 369 366

  14. Nebraska Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    510,776 514,481 515,338 527,397 522,408 525,165 1987-2015 Sales 442,413 446,652 447,617 459,712 454,725 457,504 1997-2015 Transported 68,363 67,829 67,721 67,685 67,683 67,661 1997-2015 Commercial Number of Consumers 56,246 56,553 56,608 58,005 57,191 57,521 1987-2015 Sales 40,348 40,881 41,074 42,400 41,467 41,718 1998-2015 Transported 15,898 15,672 15,534 15,605 15,724 15,803 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 569 568 468 555 567 512 1967-2015 Industrial Number of

  15. Alabama Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    778,985 772,892 767,396 765,957 769,900 768,568 1986-2015 Sales 778,985 772,892 767,396 765,957 769,900 768,568 1997-2015 Transported 0 0 0 0 0 0 1997-2015 Commercial Number of Consumers 68,163 67,696 67,252 67,136 67,847 67,746 1986-2015 Sales 68,017 67,561 67,117 67,006 67,718 67,619 1998-2015 Transported 146 135 135 130 129 127 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 397 371 320 377 406 368 1967-2015 Industrial Number of Consumers 3,039 2,988 3,045 3,143 3,244 3,300

  16. Alaska Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    121,166 121,736 122,983 124,411 126,416 128,605 1986-2015 Sales 121,166 121,736 122,983 124,411 126,416 128,605 1997-2015 Commercial Number of Consumers 12,998 13,027 13,133 13,246 13,399 13,549 1986-2015 Sales 12,673 12,724 13,072 13,184 13,336 13,529 1998-2015 Transported 325 303 61 62 63 20 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 1,225 1,489 1,515 1,411 1,338 1,363 1967-2015 Industrial Number of Consumers 3 5 3 3 1 4 1987-2015 Sales 2 2 3 2 1 4 1998-2015 Transported 1

  17. Arkansas Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    549,970 551,795 549,959 549,764 549,034 550,108 1986-2015 Sales 549,970 551,795 549,959 549,764 549,034 550,108 1997-2015 Commercial Number of Consumers 67,987 67,815 68,765 68,791 69,011 69,265 1986-2015 Sales 67,676 67,454 68,151 68,127 68,291 68,438 1998-2015 Transported 311 361 614 664 720 827 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 592 590 603 692 734 688 1967-2015 Industrial Number of Consumers 1,079 1,133 990 1,020 1,009 1,023 1986-2015 Sales 580 554 523 513 531

  18. Sensitivity in risk analyses with uncertain numbers.

    SciTech Connect

    Tucker, W. Troy; Ferson, Scott

    2006-06-01

    Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques have recently been proposed for use when the model is probabilistic. This report considers the related problem of sensitivity analysis when the model includes uncertain numbers that can involve both aleatory and epistemic uncertainty and the method of calculation is Dempster-Shafer evidence theory or probability bounds analysis. Some traditional methods for sensitivity analysis generalize directly for use with uncertain numbers, but, in some respects, sensitivity analysis for these analyses differs from traditional deterministic or probabilistic sensitivity analyses. A case study of a dike reliability assessment illustrates several methods of sensitivity analysis, including traditional probabilistic assessment, local derivatives, and a ''pinching'' strategy that hypothetically reduces the epistemic uncertainty or aleatory uncertainty, or both, in an input variable to estimate the reduction of uncertainty in the outputs. The prospects for applying the methods to black box models are also considered.

  19. North Dakota Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    23,585 125,392 130,044 133,975 137,972 141,465 1987-2015 Sales 123,585 125,392 130,044 133,975 137,972 141,465 1997-2015 Transported 0 0 0 0 0 0 2004-2015 Commercial Number of Consumers 17,823 18,421 19,089 19,855 20,687 21,345 1987-2015 Sales 17,745 18,347 19,021 19,788 20,623 21,283 1998-2015 Transported 78 74 68 67 64 62 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 578 596 543 667 677 577 1967-2015 Industrial Number of Consumers 307 259 260 266 269 286 1987-2015 Sales 255

  20. Oregon Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    682,737 688,681 693,507 700,211 707,010 717,999 1987-2015 Sales 682,737 688,681 693,507 700,211 707,010 717,999 1997-2015 Commercial Number of Consumers 77,370 77,822 78,237 79,276 80,480 80,877 1987-2015 Sales 77,351 77,793 78,197 79,227 80,422 80,772 1998-2015 Transported 19 29 40 49 58 105 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 352 390 368 386 353 319 1967-2015 Industrial Number of Consumers 1,053 1,066 1,076 1,085 1,099 1,117 1987-2015 Sales 821 828 817 821 839 853

  1. Rhode Island Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    25,204 225,828 228,487 231,763 233,786 236,323 1987-2015 Sales 225,204 225,828 228,487 231,763 233,786 236,323 1997-2015 Commercial Number of Consumers 23,049 23,177 23,359 23,742 23,934 24,088 1987-2015 Sales 21,507 21,421 21,442 21,731 21,947 22,084 1998-2015 Transported 1,542 1,756 1,917 2,011 1,987 2,004 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 454 468 432 490 551 499 1967-2015 Industrial Number of Consumers 249 245 248 271 266 260 1987-2015 Sales 57 53 56 62 62 48

  2. South Carolina Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    570,797 576,594 583,633 593,286 605,644 620,555 1987-2015 Sales 570,797 576,594 583,633 593,286 605,644 620,555 1997-2015 Commercial Number of Consumers 55,853 55,846 55,908 55,997 56,323 56,871 1987-2015 Sales 55,776 55,760 55,815 55,902 56,225 56,768 1998-2015 Transported 77 86 93 95 98 103 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 432 396 383 426 451 413 1967-2015 Industrial Number of Consumers 1,325 1,329 1,435 1,452 1,442 1,438 1987-2015 Sales 1,139 1,137 1,215 1,223

  3. South Dakota Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    69,838 170,877 173,856 176,204 179,042 182,568 1987-2015 Sales 169,838 170,877 173,856 176,204 179,042 182,568 1997-2015 Commercial Number of Consumers 22,267 22,570 22,955 23,214 23,591 24,040 1987-2015 Sales 22,028 22,332 22,716 22,947 23,330 23,784 1998-2015 Transported 239 238 239 267 261 256 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 495 492 406 523 522 434 1967-2015 Industrial Number of Consumers 580 556 574 566 575 578 1987-2015 Sales 453 431 445 444 452 449 1998-2015

  4. Tennessee Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    ,085,387 1,089,009 1,084,726 1,094,122 1,106,917 1,124,572 1987-2015 Sales 1,085,387 1,089,009 1,084,726 1,094,122 1,106,917 1,124,572 1997-2015 Commercial Number of Consumers 127,914 128,969 130,139 131,091 131,027 132,392 1987-2015 Sales 127,806 128,866 130,035 130,989 130,931 132,294 1998-2015 Transported 108 103 104 102 96 98 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 439 404 345 411 438 401 1967-2015 Industrial Number of Consumers 2,702 2,729 2,679 2,581 2,595 2,651

  5. Number of Gas Producing Oil Wells

    Gasoline and Diesel Fuel Update

    73 0 1 2 3 4 5 6 7 8 9 10 11 12 Number of Consumers Eligible Participating Table 26. Number of consumers eligible and participating in a customer choice program in the residential sector, 2015 Figure 26. Top Five States with Participants in a Residential Customer Choice Program, 2015 California 10,969,597 6,712,311 441,523 Colorado 1,712,153 1,254,056 0 Connecticut 531,380 1,121 340 District of Columbia 147,895 147,867 17,167 Florida 701,981 17,626 16,363 Georgia 1,777,558 1,468,084 1,468,084

  6. Utah Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    821,525 830,219 840,687 854,389 869,052 891,917 1987-2015 Sales 821,525 830,219 840,687 854,389 869,052 891,917 1997-2015 Commercial Number of Consumers 61,976 62,885 63,383 64,114 65,134 66,143 1987-2015 Sales 61,929 62,831 63,298 63,960 64,931 65,917 1998-2015 Transported 47 54 85 154 203 226 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 621 643 558 646 586 541 1967-2015 Industrial Number of Consumers 293 286 302 323 326 320 1987-2015 Sales 205 189 189 187 176 157 1998-2015

  7. Vermont Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    38,047 38,839 39,917 41,152 42,231 43,267 1987-2015 Sales 38,047 38,839 39,917 41,152 42,231 43,267 1997-2015 Commercial Number of Consumers 5,137 5,256 5,535 5,441 5,589 5,696 1987-2015 Sales 5,137 5,256 5,535 5,441 5,589 5,696 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 464 472 418 873 864 1,039 1967-2015 Industrial Number of Consumers 38 36 38 13 13 14 1987-2015 Sales 37 35 38 13 13 14 1998-2015 Transported 1 1 0 0 0 0 1999-2015 Average Consumption per Consumer (Thousand

  8. Washington Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    067,979 1,079,277 1,088,762 1,102,318 1,118,193 1,133,629 1987-2015 Sales 1,067,979 1,079,277 1,088,762 1,102,318 1,118,193 1,133,629 1997-2015 Commercial Number of Consumers 99,231 99,674 100,038 100,939 101,730 102,266 1987-2015 Sales 99,166 99,584 99,930 100,819 101,606 102,129 1998-2015 Transported 65 90 108 120 124 137 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 517 567 534 553 535 489 1967-2015 Industrial Number of Consumers 3,372 3,353 3,338 3,320 3,355 3,385 1987-2015

  9. West Virginia Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    344,131 342,069 340,256 340,102 338,652 337,643 1987-2015 Sales 344,125 342,063 340,251 340,098 338,649 337,642 1997-2015 Transported 6 6 5 4 3 1 1997-2015 Commercial Number of Consumers 34,063 34,041 34,078 34,283 34,339 34,448 1987-2015 Sales 33,258 33,228 33,257 33,466 33,574 33,706 1998-2015 Transported 805 813 821 817 765 742 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 731 708 664 707 702 656 1967-2015 Industrial Number of Consumers 102 94 97 95 92 101 1987-2015 Sales 32

  10. Wisconsin Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    663,583 1,671,834 1,681,001 1,692,891 1,705,907 1,721,640 1987-2015 Sales 1,663,583 1,671,834 1,681,001 1,692,891 1,705,907 1,721,640 1997-2015 Transported 0 0 0 0 0 0 1997-2015 Commercial Number of Consumers 164,173 165,002 165,657 166,845 167,901 169,271 1987-2015 Sales 163,060 163,905 164,575 165,718 166,750 168,097 1998-2015 Transported 1,113 1,097 1,082 1,127 1,151 1,174 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 501 528 465 596 637 533 1967-2015 Industrial Number of

  11. Colorado Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    ,634,587 1,645,716 1,659,808 1,672,312 1,690,581 1,712,153 1986-2015 Sales 1,634,582 1,645,711 1,659,803 1,672,307 1,690,576 1,712,150 1997-2015 Transported 5 5 5 5 5 3 1997-2015 Commercial Number of Consumers 145,460 145,837 145,960 150,145 150,235 150,545 1986-2015 Sales 145,236 145,557 145,563 149,826 149,921 150,230 1998-2015 Transported 224 280 397 319 314 315 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 396 383 355 392 386 359 1967-2015 Industrial Number of Consumers

  12. Connecticut Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    490,185 494,970 504,138 513,492 522,658 531,380 1986-2015 Sales 489,380 494,065 503,241 512,110 521,460 530,309 1997-2015 Transported 805 905 897 1,382 1,198 1,071 1997-2015 Commercial Number of Consumers 54,842 55,028 55,407 55,500 56,591 57,403 1986-2015 Sales 50,132 50,170 50,312 48,976 51,613 54,165 1998-2015 Transported 4,710 4,858 5,095 6,524 4,978 3,238 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 741 815 764 836 905 914 1967-2015 Industrial Number of Consumers 3,063

  13. Delaware Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    50,458 152,005 153,307 155,627 158,502 161,607 1986-2015 Sales 150,458 152,005 153,307 155,627 158,502 161,607 1997-2015 Commercial Number of Consumers 12,861 12,931 12,997 13,163 13,352 13,430 1986-2015 Sales 12,706 12,656 12,644 12,777 12,902 12,967 1998-2015 Transported 155 275 353 386 450 463 1999-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 948 810 772 849 890 873 1967-2015 Industrial Number of Consumers 114 129 134 138 141 144 1987-2015 Sales 40 35 29 28 28 29 1998-2015

  14. Florida Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    675,551 679,199 686,994 694,210 703,535 701,981 1986-2015 Sales 661,768 664,564 672,133 679,191 687,766 685,828 1997-2015 Transported 13,783 14,635 14,861 15,019 15,769 16,153 1997-2015 Commercial Number of Consumers 60,854 61,582 63,477 64,772 67,461 65,313 1986-2015 Sales 41,750 41,068 41,102 40,434 41,303 37,647 1998-2015 Transported 19,104 20,514 22,375 24,338 26,158 27,666 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 888 869 861 926 928 961 1967-2015 Industrial Number of

  15. Hawaii Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    25,389 25,305 25,184 26,374 28,919 28,952 1987-2015 Sales 25,389 25,305 25,184 26,374 28,919 28,952 1998-2015 Commercial Number of Consumers 2,551 2,560 2,545 2,627 2,789 2,815 1987-2015 Sales 2,551 2,560 2,545 2,627 2,789 2,815 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 697 691 727 713 692 678 1980-2015 Industrial Number of Consumers 24 24 22 22 23 25 1997-2015 Sales 24 24 22 22 23 25 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 14,111 15,087 16,126

  16. Idaho Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    46,602 350,871 353,963 359,889 367,394 374,557 1987-2015 Sales 346,602 350,871 353,963 359,889 367,394 374,557 1997-2015 Commercial Number of Consumers 38,506 38,912 39,202 39,722 40,229 40,744 1987-2015 Sales 38,468 38,872 39,160 39,681 40,188 40,704 1998-2015 Transported 38 40 42 41 41 40 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 390 433 404 465 422 410 1967-2015 Industrial Number of Consumers 184 178 179 183 189 187 1987-2015 Sales 108 103 105 109 115 117 1998-2015

  17. Iowa Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    879,713 883,733 892,123 895,414 900,420 908,058 1987-2015 Sales 879,713 883,733 892,123 895,414 900,420 908,058 1997-2015 Commercial Number of Consumers 98,396 98,541 99,113 99,017 99,186 99,662 1987-2015 Sales 96,996 97,075 97,580 97,334 97,413 97,834 1998-2015 Transported 1,400 1,466 1,533 1,683 1,773 1,828 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 525 526 442 572 579 494 1967-2015 Industrial Number of Consumers 1,528 1,465 1,469 1,491 1,572 1,572 1987-2015 Sales 1,161

  18. Kentucky Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    758,129 759,584 757,790 761,575 761,935 764,946 1987-2015 Sales 728,940 730,602 730,184 736,011 737,290 742,011 1997-2015 Transported 29,189 28,982 27,606 25,564 24,645 22,935 1997-2015 Commercial Number of Consumers 84,707 84,977 85,129 85,999 85,630 85,961 1987-2015 Sales 80,541 80,392 80,644 81,579 81,338 81,834 1998-2015 Transported 4,166 4,585 4,485 4,420 4,292 4,127 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 435 407 361 435 467 412 1967-2015 Industrial Number of

  19. Wyoming Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    153,852 155,181 157,226 158,889 160,896 159,925 1987-2015 Sales 117,735 118,433 118,691 117,948 118,396 116,456 1997-2015 Transported 36,117 36,748 38,535 40,941 42,500 43,469 1997-2015 Commercial Number of Consumers 19,977 20,146 20,387 20,617 20,894 20,816 1987-2015 Sales 14,319 14,292 14,187 14,221 14,452 14,291 1998-2015 Transported 5,658 5,854 6,200 6,396 6,442 6,525 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 558 580 514 583 583 622 1967-2015 Industrial Number of

  20. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number

    Gasoline and Diesel Fuel Update

    of Elements) Seismic Surveying (Number of Elements) Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 2 3 3 3 1 1 0 0 0 0 2001 0 0 0 0 2 2 0 0 0 0 0 0 2002 2 2 2 2 2 2 2 2 2 2 2 1 2003 0 0 2 2 2 2 2 2

  1. Stockpile Stewardship Quarterly, Volume 2, Number 1

    National Nuclear Security Administration (NNSA)

    1 * May 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 2, Number 1 Inside this Issue 2 LANL and ANL Complete Groundbreaking Shock Experiments at the Advanced Photon Source 3 Characterization of Activity-Size-Distribution of Nuclear Fallout 5 Modeling Mix in High-Energy-Density Plasma 6 Quality Input for Microscopic Fission Theory 8 Fiber Reinforced Composites Under Pressure: A Case Study in

  2. Notices Total Estimated Number of Annual

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    372 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update

  3. WIPP Site By The Numbers August 2015

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    0 ft. By the Numbers The Waste Isolation Pilot Plant (WIPP) is a Department of Energy facility designed to safely isolate defense- related transuranic (TRU) waste from people and the environment. WIPP, which began waste disposal operations in 1999, is located 26 miles outside of Carlsbad, New Mexico. Waste temporarily stored at sites around the country is shipped to WIPP and permanently disposed in rooms mined out of an ancient salt formation below the surface. TRU waste destined for WIPP

  4. Assessing the CAM5 Physics Suite in the WRF-Chem Model: Implementation, Resolution Sensitivity, and a First Evaluation for a Regional Case Study

    SciTech Connect

    Ma, Po-Lun; Rasch, Philip J.; Fast, Jerome D.; Easter, Richard C.; Gustafson, William I.; Liu, Xiaohong; Ghan, Steven J.; Singh, Balwinder

    2014-05-06

    A suite of physical parameterizations (deep and shallow convection, turbulent boundary layer, aerosols, cloud microphysics, and cloud fraction) from the global climate model Community Atmosphere Model version 5.1 (CAM5) has been implemented in the regional model Weather Research and Forecasting with chemistry (WRF-Chem). A downscaling modeling framework with consistent physics has also been established in which both global and regional simulations use the same emissions and surface fluxes. The WRF-Chem model with the CAM5 physics suite is run at multiple horizontal resolutions over a domain encompassing the northern Pacific Ocean, northeast Asia, and northwest North America for April 2008 when the ARCTAS, ARCPAC, and ISDAC field campaigns took place. These simulations are evaluated against field campaign measurements, satellite retrievals, and ground-based observations, and are compared with simulations that use a set of common WRF-Chem Parameterizations. This manuscript describes the implementation of the CAM5 physics suite in WRF-Chem provides an overview of the modeling framework and an initial evaluation of the simulated meteorology, clouds, and aerosols, and quantifies the resolution dependence of the cloud and aerosol parameterizations. We demonstrate that some of the CAM5 biases, such as high estimates of cloud susceptibility to aerosols and the underestimation of aerosol concentrations in the Arctic, can be reduced simply by increasing horizontal resolution. We also show that the CAM5 physics suite performs similarly to a set of parameterizations commonly used in WRF-Chem, but produces higher ice and liquid water condensate amounts and near-surface black carbon concentration. Further evaluations that use other mesoscale model parameterizations and perform other case studies are needed to infer whether one parameterization consistently produces results more consistent with observations.

  5. Droplet Number Concentration Value Added Product

    Energy Science and Technology Software Center

    2015-08-06

    Cloud droplet number concentration is an important factor in understanding aerosol-cloud interactions. As aerosol concentration increases, it is expected that droplet number concentration (Nd) will increase and droplet size will decrease, for a given liquid water path. This will greatly affect cloud albedo as smaller droplets reflect more shortwave radiation; however, the magnitude and variability of these processes under different environmental conditions is still uncertain.McComiskey et al. (2009) have implemented a method, based onBoers andmore » Mitchell (1994), for calculating Nd from ground-based remote sensing measurements of optical depth and liquid water path. They show that the magnitude of the aerosol-cloud interactions (ACI) varies with a range of factors, including the relative value of the cloud liquid water path (LWP), the aerosol size distribution, and the cloud updraft velocity. Estimates of Nd under a range of cloud types and conditions and at a variety of sites are needed to further quantify the impacts of aerosol cloud interactions. In order to provide data sets for studying aerosol-cloud interactions, the McComiskey et al. (2009) method was implemented as the Droplet Number Concentration (NDROP) value-added product (VAP).« less

  6. Table B14. Number of Establishments in Building, Number of Buildings, 1999

    Energy Information Administration (EIA) (indexed site)

    4. Number of Establishments in Building, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Establishments in Building" ,,"One","Two to Five","Six to Ten","Eleven to Twenty","More than Twenty","Currently Unoccupied" "All Buildings ................",4657,3528,688,114,48,27,251 "Building Floorspace" "(Square Feet)" "1,001 to 5,000

  7. U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number

    Energy Information Administration (EIA) (indexed site)

    of Elements) Acquifers Capacity (Number of Elements) U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49 2000's 49 39 38 43 43 44 44 43 43 43 2010's 43 43 44 47 46 47 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of

  8. Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5 5 4 4 2000's 4 4 4 4 4 4 4 4 0 0 2010's 0 0 0 0 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of Producing Gas

  9. Reservoir characterization of a Permian Slope Fan/basin-floor fan complex: Cherry Canyon Formation, Ward County, Texas

    SciTech Connect

    Spain, D.R. )

    1990-05-01

    The Cherry Canyon Formation consists of a 925-ft- (280-m) thick section of up to 25 different sandstone and siltstone units that were deposited in a deep-water environment in the Delaware basin. Lowstand sedimentation by fluid density currents with periodic turbidity currents resulted in a broad-migrating channelized slope fan/basin-floor fan complex interpreted to exhibit an intricate reservoir geometry. Thirteen lithofacies are identified. Primary reservoirs are found in massive channel sandstones, and beds of lesser reservoir quality are present in laminated overbank/interchannel sandstones. Original depositional fabric modified by diagenetic cements and authigenic clays created three petrophysical rock types. Type I reservoirs contain intergranular macroporosity relatively free of carbonate cement and authigenic clay. Types II and III reservoirs contain mesoporosity and abundant microporosity created by moderate to abundant carbonate cementation and plugging of pore throats by authigenic grain-coating chlorite and pore-bridging fibrous illite. Depositional and diagenetic factors combine with insufficient oil column height to yield low initial oil saturations that decrease with depth in a hydrocarbon-water transition zone. Mercury injection capillary pressure measurements illustrate the vertical stratification of petrophysical rock types that exist in the section; reservoirs which contain all water are interbedded with reservoirs containing mostly oil. Subsequently, a slight change in height above free water can drive production from all water to all oil. Hydrocarbon column heights greater than 60 ft are required to establish water-free oil production. Accurate reservoir water saturations can be derived using Archie's equation; when combined with a movable oil analysis and drainage relative permeability/fractional flow curves, initial water cuts can be predicted to maximize deliverability.

  10. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of

    Gasoline and Diesel Fuel Update

    Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 615 717 624 481 563 655 728 848 NA 787 2010's 774

  11. Health Code Number (HCN) Development Procedure

    SciTech Connect

    Petrocchi, Rocky; Craig, Douglas K.; Bond, Jayne-Anne; Trott, Donna M.; Yu, Xiao-Ying

    2013-09-01

    This report provides the detailed description of health code numbers (HCNs) and the procedure of how each HCN is assigned. It contains many guidelines and rationales of HCNs. HCNs are used in the chemical mixture methodology (CMM), a method recommended by the department of energy (DOE) for assessing health effects as a result of exposures to airborne aerosols in an emergency. The procedure is a useful tool for proficient HCN code developers. Intense training and quality assurance with qualified HCN developers are required before an individual comprehends the procedure to develop HCNs for DOE.

  12. The New Element Berkelium (Atomic Number 97)

    DOE R&D Accomplishments

    Seaborg, G. T.; Thompson, S. G.; Ghiorso, A.

    1950-04-26

    An isotope of the element with atomic number 97 has been discovered as a product of the helium-ion bombardment of americium. The name berkelium, symbol Bk, is proposed for element 97. The chemical separation of element 97 from the target material and other reaction products was made by combinations of precipitation and ion exchange adsorption methods making use of its anticipated (III) and (IV) oxidation states and its position as a member of the actinide transition series. The distinctive chemical properties made use of in its separation and the equally distinctive decay properties of the particular isotope constitute the principal evidence for the new element.

  13. Experimental Stations by Number | Stanford Synchrotron Radiation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Lightsource Experimental Stations by Number Beam Line by Techniques Photon Source Parameters Station Type Techniques Energy Range Contact Person Experimental Station 1-5 X-ray Materials Small-angle X-ray Scattering (SAXS) focused 4600-16000 eV Christopher J. Tassone Tim J. Dunn Experimental Station 2-1 X-ray Powder diffraction Thin film diffraction Focused 5000 - 14500 eV Apurva Mehta Charles Troxel Jr Experimental Station 2-2 X-ray X-ray Absorption Spectroscopy 5000 to 37000 eV Ryan Davis

  14. Property:NumberOfLEDSTools | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Name NumberOfLEDSTools Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLEDSTools&oldid322418" Feedback Contact needs updating Image...

  15. Property:Number of Plants Included in Planned Estimate | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Number of Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of...

  16. Property:Number of Color Cameras | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Color Cameras Jump to: navigation, search Property Name Number of Color Cameras Property Type Number Pages using the property "Number of Color Cameras" Showing 25 pages using this...

  17. The New Element Californium (Atomic Number 98)

    DOE R&D Accomplishments

    Seaborg, G. T.; Thompson, S. G.; Street, K. Jr.; Ghiroso, A.

    1950-06-19

    Definite identification has been made of an isotope of the element with atomic number 98 through the irradiation of Cm{sup 242} with about 35-Mev helium ions in the Berkeley Crocker Laboratory 60-inch cyclotron. The isotope which has been identified has an observed half-life of about 45 minutes and is thought to have the mass number 244. The observed mode of decay of 98{sup 244} is through the emission of alpha-particles, with energy of about 7.1 Mev, which agrees with predictions. Other considerations involving the systematics of radioactivity in this region indicate that it should also be unstable toward decay by electron capture. The chemical separation and identification of the new element was accomplished through the use of ion exchange adsorption methods employing the resin Dowex-50. The element 98 isotope appears in the eka-dysprosium position on elution curves containing berkelium and curium as reference points--that is, it precedes berkelium and curium off the column in like manner that dysprosium precedes terbium and gadolinium. The experiments so far have revealed only the tripositive oxidation state of eka-dysprosium character and suggest either that higher oxidation states are not stable in aqueous solutions or that the rates of oxidation are slow. The successful identification of so small an amount of an isotope of element 98 was possible only through having made accurate predictions of the chemical and radioactive properties.

  18. Tennessee Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Tennessee Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 700 1990's 690 650 600 505 460 420 2000's 380 350 400 430 280 400 330 305 285 310 2010's 230 1,027 1,027 1,089 NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  19. South Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) South Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 53 1990's 54 54 38 47 55 56 61 60 59 60 2000's 71 68 69 61 61 69 69 71 71 89 2010's 102 155 159 133 128 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  20. Maryland Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Maryland Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 8 1990's 7 7 9 7 7 7 8 8 8 8 2000's 7 7 5 7 7 7 7 7 7 7 2010's 7 7 7 7 5 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages:

  1. Missouri Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Missouri Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4 1990's 8 6 5 8 12 15 24 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 19 15 7 6 NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring

  2. Nebraska Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Nebraska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15 1990's 11 12 22 59 87 87 88 91 95 96 2000's 98 96 106 109 111 114 114 186 322 285 2010's 276 307 299 246 109 140 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  3. Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 18 1990's 19 16 16 18 19 17 18 17 15 19 2000's 17 20 18 15 15 15 14 18 21 24 2010's 26 28 24 24 12 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  4. Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Alaska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 108 1990's 111 110 112 113 104 100 102 141 148 99 2000's 152 170 165 195 224 227 231 239 261 261 2010's 269 274 281 300 338 329 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  5. Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 1990's 5 6 6 6 6 7 7 8 8 8 2000's 9 8 7 9 6 6 7 7 6 6 2010's 5 5 4 3 6 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages:

  6. Illinois Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Illinois Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 241 1990's 356 373 382 385 390 372 370 372 185 300 2000's 280 300 225 240 251 316 316 43 45 51 2010's 50 40 40 34 36 35 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016

  7. Maryland Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    071,566 1,077,168 1,078,978 1,099,272 1,101,292 1,113,342 1987-2015 Sales 923,870 892,844 867,627 852,555 858,352 875,150 1997-2015 Transported 147,696 184,324 211,351 246,717 242,940 238,192 1997-2015 Commercial Number of Consumers 75,192 75,788 75,799 77,117 77,846 78,138 1987-2015 Sales 54,966 53,778 52,383 52,763 53,961 53,651 1998-2015 Transported 20,226 22,010 23,416 24,354 23,885 24,487 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 898 891 846 923 961 898 1967-2015

  8. Massachusetts Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    389,592 1,408,314 1,447,947 1,467,578 1,461,350 1,478,072 1987-2015 Sales 1,387,842 1,406,447 1,445,934 1,464,120 1,457,055 1,471,658 1997-2015 Transported 1,750 1,867 2,013 3,458 4,295 6,414 1997-2015 Commercial Number of Consumers 144,487 138,225 142,825 144,246 139,556 140,533 1987-2015 Sales 128,256 121,065 124,099 124,963 120,803 121,754 1998-2015 Transported 16,231 17,160 18,726 19,283 18,753 18,779 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 499 586 511 692 758 750

  9. Michigan Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    3,152,468 3,153,895 3,161,033 3,180,349 3,192,807 3,213,910 1987-2015 Sales 2,952,550 2,946,507 2,939,693 2,950,315 2,985,315 3,016,548 1997-2015 Transported 199,918 207,388 221,340 230,034 207,492 197,362 1997-2015 Commercial Number of Consumers 249,309 249,456 249,994 250,994 253,127 254,484 1987-2015 Sales 217,325 213,995 212,411 213,532 219,240 222,427 1998-2015 Transported 31,984 35,461 37,583 37,462 33,887 32,057 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 611 656 578

  10. New Jersey Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    2,649,282 2,659,205 2,671,308 2,686,452 2,705,274 2,728,340 1987-2015 Sales 2,556,514 2,514,492 2,467,520 2,428,664 2,482,281 2,559,463 1997-2015 Transported 92,768 144,713 203,788 257,788 222,993 168,877 1997-2015 Commercial Number of Consumers 234,158 234,721 237,602 236,746 240,083 241,417 1987-2015 Sales 200,680 196,963 192,913 185,030 186,591 190,255 1998-2015 Transported 33,478 37,758 44,689 51,716 53,492 51,162 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 775 817 735

  11. California Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    0,542,584 10,625,190 10,681,916 10,754,908 10,781,720 10,969,597 1986-2015 Sales 10,469,734 10,545,585 10,547,706 10,471,814 10,372,973 10,539,966 1997-2015 Transported 72,850 79,605 134,210 283,094 408,747 429,631 1997-2015 Commercial Number of Consumers 439,572 440,990 442,708 444,342 443,115 446,510 1986-2015 Sales 399,290 390,547 387,760 387,806 385,878 391,672 1998-2015 Transported 40,282 50,443 54,948 56,536 57,237 54,838 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 564

  12. Ohio Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    3,240,619 3,236,160 3,244,274 3,271,074 3,283,968 3,294,010 1987-2015 Sales 1,418,217 1,352,292 855,055 636,744 664,114 670,508 1997-2015 Transported 1,822,402 1,883,868 2,389,219 2,634,330 2,619,854 2,623,502 1997-2015 Commercial Number of Consumers 268,346 268,647 267,793 269,081 269,758 269,981 1987-2015 Sales 92,621 85,877 51,308 35,966 37,035 36,612 1998-2015 Transported 175,725 182,770 216,485 233,115 232,723 233,369 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 583 601

  13. Texas Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    4,288,495 4,326,156 4,370,057 4,424,103 4,469,282 4,523,977 1987-2015 Sales 4,287,929 4,326,076 4,369,990 4,424,037 4,469,220 4,523,911 1997-2015 Transported 566 80 67 66 62 66 1997-2015 Commercial Number of Consumers 312,277 314,041 314,811 314,036 316,756 319,512 1987-2015 Sales 310,842 312,164 312,574 311,493 313,971 316,538 1998-2015 Transported 1,435 1,877 2,237 2,543 2,785 2,974 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 605 587 512 553 584 556 1967-2015 Industrial

  14. Georgia Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    1,740,587 1,740,006 1,739,543 1,805,425 1,759,394 1,777,558 1986-2015 Sales 321,290 321,515 319,179 377,652 319,109 320,228 1997-2015 Transported 1,419,297 1,418,491 1,420,364 1,427,773 1,440,285 1,457,330 1997-2015 Commercial Number of Consumers 124,759 123,454 121,243 126,060 122,578 123,307 1986-2015 Sales 32,318 32,162 31,755 36,556 31,850 31,850 1998-2015 Transported 92,441 91,292 89,488 89,504 90,728 91,457 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 482 458 428 454 482

  15. Illinois Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    ,842,206 3,855,942 3,878,806 3,838,120 3,870,670 3,876,362 1987-2015 Sales 3,568,120 3,594,047 3,605,796 3,550,217 3,570,339 3,545,188 1997-2015 Transported 274,086 261,895 273,010 287,903 300,331 331,174 1997-2015 Commercial Number of Consumers 291,395 293,213 297,523 282,743 294,391 295,869 1987-2015 Sales 240,197 241,582 244,480 225,913 235,097 231,769 1998-2015 Transported 51,198 51,631 53,043 56,830 59,294 64,100 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 680 735 632

  16. Indiana Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

    1,669,026 1,707,148 1,673,132 1,681,841 1,693,267 1,704,243 1987-2015 Sales 1,579,351 1,614,042 1,584,155 1,600,366 1,618,827 1,635,444 1997-2015 Transported 89,675 93,106 88,977 81,475 74,440 68,799 1997-2015 Commercial Number of Consumers 156,557 161,293 158,213 158,965 159,596 160,051 1987-2015 Sales 139,058 143,227 139,676 139,589 140,196 141,013 1998-2015 Transported 17,499 18,066 18,537 19,376 19,400 19,038 1998-2015 Average Consumption per Consumer (Thousand Cubic Ft.) 485 471 421 520 570

  17. Federal Offshore--Gulf of Mexico Natural Gas Number of Oil Wells (Number of

    Gasoline and Diesel Fuel Update

    Condensate Wells (Number of Elements) Gas and Gas Condensate Wells (Number of Elements) Federal Offshore--Gulf of Mexico Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 NA 2000's NA 3,271 3,245 3,039 2,781 2,123 2,419 2,552 1,527 1,984 2010's 1,852 2,226 1,892 1,588 1,377 1,163 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  18. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of

    Gasoline and Diesel Fuel Update

    Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 62 63 59 63 58 61 59 63 62 65 2001 61 61 63 65 64 60 58 56 54 58 59 58 2002 54 57 54 50 51 50 52 50 56 57 50 43 2003 40 41 41 40 38 39 41 43 39 39 38 42 2004 43 45 45 45 44 49 48 49 48 48 49 50 2005 52 53 51 50 55 57 54 55 56 57 57 58 2006 55 57 59 58 58 57

  19. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number

    Gasoline and Diesel Fuel Update

    of Elements) Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 13 4 23 12

  20. Texas Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Texas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 48,609 1990's 50,867 47,615 46,298 47,101 48,654 54,635 53,816 56,747 58,736 58,712 2000's 60,577 63,704 65,779 68,572 72,237 74,827 74,265 76,436 87,556 93,507 2010's 95,014 139,368 140,087 140,964 142,292 142,368 - = No Data Reported; -- = Not Applicable; NA = Not

  1. U.S. Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    (Number of Elements) U.S. Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4,013,040 4,124,745 4,168,048 1990's 4,236,280 4,357,252 4,409,699 4,464,906 4,533,905 4,636,500 4,720,227 4,761,409 5,044,497 5,010,189 2000's 5,010,817 4,996,446 5,064,384 5,152,177 5,139,949 5,198,028 5,273,379 5,308,785 5,444,335 5,322,332 2010's 5,301,576 5,319,817 5,356,397 5,372,522 5,413,546 5,449,180 - = No Data

  2. U.S. Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) U.S. Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 262,483 1990's 269,790 276,987 276,014 282,152 291,773 298,541 301,811 310,971 316,929 302,421 2000's 341,678 373,304 387,772 393,327 406,147 425,887 440,516 452,945 476,652 493,100 2010's 487,627 574,593 577,916 572,742 565,951 555,364 - = No Data Reported; -- = Not

  3. U.S. Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    (Number of Elements) U.S. Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 195,544 199,041 225,346 1990's 218,341 216,529 209,616 209,666 202,940 209,398 206,049 234,855 226,191 228,331 2000's 220,251 217,026 205,915 205,514 209,058 206,223 193,830 198,289 225,044 207,624 2010's 192,730 189,301 189,372 192,288 192,139 188,585 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. U.S. Natural Gas Number of Residential Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    (Number of Elements) U.S. Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 47,710,444 48,474,449 49,309,593 1990's 50,187,178 51,593,206 52,331,397 52,535,411 53,392,557 54,322,179 55,263,673 56,186,958 57,321,746 58,223,229 2000's 59,252,728 60,286,364 61,107,254 61,871,450 62,496,134 63,616,827 64,166,280 64,964,769 65,073,996 65,329,582 2010's 65,542,345 65,940,522 66,375,134 66,812,393

  5. Pennsylvania Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Pennsylvania Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 30,000 1990's 30,300 31,000 31,000 31,100 31,150 31,025 31,792 32,692 21,576 23,822 2000's 36,000 40,100 40,830 42,437 44,227 46,654 49,750 52,700 55,631 57,356 2010's 44,500 61,815 62,922 61,838 67,621 68,536 - = No Data Reported; -- = Not Applicable; NA = Not

  6. Louisiana Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Louisiana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 16,309 1990's 16,889 15,271 13,512 15,569 12,958 14,169 15,295 14,958 18,399 16,717 2000's 15,700 16,350 17,100 16,939 20,734 18,838 17,459 18,145 19,213 18,860 2010's 19,137 19,318 19,345 18,802 18,660 18,382 - = No Data Reported; -- = Not Applicable; NA = Not

  7. Michigan Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Michigan Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,207 1990's 1,438 2,620 3,257 5,500 6,000 5,258 5,826 6,825 7,000 6,750 2000's 7,068 7,425 7,700 8,600 8,500 8,900 9,200 9,712 9,995 10,600 2010's 10,100 10,480 10,381 10,322 10,246 9,929 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  8. Mississippi Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Mississippi Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 543 1990's 585 629 507 620 583 535 568 560 527 560 2000's 997 1,143 979 427 1,536 1,676 1,836 2,315 2,343 2,320 2010's 1,979 1,703 1,666 1,632 1,594 1,560 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  9. Montana Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Montana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,700 1990's 2,607 2,802 2,890 3,075 2,940 2,918 2,990 3,071 3,423 3,634 2000's 3,321 4,331 4,544 4,539 4,971 5,751 6,578 6,925 7,095 7,031 2010's 6,059 6,615 6,366 5,870 5,682 5,655 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  10. New Jersey Natural Gas Number of Commercial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Commercial Consumers (Number of Elements) New Jersey Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 200,387 206,261 212,496 1990's 217,548 215,408 212,726 215,948 219,061 222,632 224,749 226,714 234,459 232,831 2000's 243,541 212,726 214,526 223,564 223,595 226,007 227,819 230,855 229,235 234,125 2010's 234,158 234,721 237,602 236,746 240,083 241,417 - = No Data Reported; -- = Not Applicable; NA

  11. New Jersey Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) New Jersey Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,265 6,123 6,079 1990's 5,976 8,444 11,474 11,224 10,608 10,362 10,139 17,625 16,282 10,089 2000's 9,686 9,247 8,473 9,027 8,947 8,500 8,245 8,036 7,680 7,871 2010's 7,505 7,391 7,290 7,216 7,157 7,019 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  12. New York Natural Gas Number of Industrial Consumers (Number of Elements)

    Energy Information Administration (EIA) (indexed site)

    Industrial Consumers (Number of Elements) New York Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 23,276 24,654 27,426 1990's 25,008 28,837 28,198 23,833 21,833 22,484 15,300 23,099 5,294 6,136 2000's 6,553 6,501 3,068 2,984 2,963 3,752 3,642 7,484 7,080 6,634 2010's 6,236 6,609 5,910 6,311 6,313 6,030 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  13. Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 34,450 1990's 34,586 34,760 34,784 34,782 34,731 34,520 34,380 34,238 34,098 33,982 2000's 33,897 33,917 34,593 33,828 33,828 33,735 33,945 34,416 34,416 34,963 2010's 34,931 31,966 31,647 30,804 31,060 26,599 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  14. Oklahoma Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Oklahoma Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 27,443 1990's 24,547 28,216 28,902 29,118 29,121 29,733 29,733 29,734 30,101 21,790 2000's 21,507 32,672 33,279 34,334 35,612 36,704 38,060 38,364 41,921 43,600 2010's 44,000 51,712 51,472 50,606 50,044 49,852 - = No Data Reported; -- = Not Applicable; NA = Not

  15. Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,701 1990's 2,362 3,392 3,350 3,514 3,565 3,526 4,105 4,156 4,171 4,204 2000's 4,359 4,597 4,803 5,157 5,526 5,523 6,227 6,591 6,860 6,913 2010's 7,026 6,243 6,203 6,174 6,117 6,044 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  16. Arkansas Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Arkansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,830 1990's 2,952 2,780 3,500 3,500 3,500 3,988 4,020 3,700 3,900 3,650 2000's 4,000 4,825 6,755 7,606 3,460 3,462 3,814 4,773 5,592 6,314 2010's 7,397 8,428 9,012 9,324 9,778 9,965 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  17. California Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) California Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,214 1990's 1,162 1,377 1,126 1,092 1,261 997 978 930 847 1,152 2000's 1,169 1,244 1,232 1,249 1,272 1,356 1,451 1,540 1,645 1,643 2010's 1,580 4,240 4,356 4,183 4,211 4,209 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  18. Colorado Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Colorado Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,125 1990's 5,741 5,562 5,912 6,372 7,056 7,017 8,251 12,433 13,838 13,838 2000's 22,442 22,117 23,554 18,774 16,718 22,691 20,568 22,949 25,716 27,021 2010's 28,813 43,792 46,141 46,883 46,876 46,322 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  19. District of Columbia Natural Gas Number of Commercial Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Commercial Consumers (Number of Elements) District of Columbia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 14,683 11,370 11,354 1990's 11,322 11,318 11,206 11,133 11,132 11,089 10,952 10,874 10,658 12,108 2000's 11,106 10,816 10,870 10,565 10,406 10,381 10,410 9,915 10,024 10,288 2010's 9,879 10,050 9,771 9,963 10,049 9,975 - = No Data Reported; -- = Not Applicable; NA = Not

  20. District of Columbia Natural Gas Number of Residential Consumers (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Residential Consumers (Number of Elements) District of Columbia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 134 130,748 134,758 134,837 1990's 136,183 136,629 136,438 135,986 135,119 135,299 135,215 134,807 132,867 137,206 2000's 138,252 138,412 143,874 136,258 138,134 141,012 141,953 142,384 142,819 143,436 2010's 144,151 145,524 145,938 146,712 147,877 147,895 - = No Data

  1. Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Indiana Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,310 1990's 1,307 1,334 1,333 1,336 1,348 1,347 1,367 1,458 1,479 1,498 2000's 1,502 1,533 1,545 2,291 2,386 2,321 2,336 2,350 525 563 2010's 620 914 819 921 895 899 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  2. Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 13,935 1990's 16,980 17,948 18,400 19,472 19,365 22,020 21,388 21,500 21,000 17,568 2000's 15,206 15,357 16,957 17,387 18,120 18,946 19,713 19,713 17,862 21,243 2010's 22,145 25,362 25,013 24,802 24,840 24,451 - = No Data Reported; -- = Not Applicable; NA = Not Available;

  3. Kentucky Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Kentucky Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11,248 1990's 11,713 12,169 12,483 12,836 13,036 13,311 13,501 13,825 14,381 14,750 2000's 13,487 14,370 14,367 12,900 13,920 14,175 15,892 16,563 16,290 17,152 2010's 17,670 12,708 13,179 14,557 NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. U.S. Natural Gas Number of Commercial Consumers - Sales (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) - Sales (Number of Elements) U.S. Natural Gas Number of Commercial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,823,842 4,599,494 2000's 4,576,873 4,532,034 4,588,964 4,662,853 4,644,363 4,698,626 4,733,822 2010's 4,584,884 4,556,220 4,518,745 4,491,326 4,528,749 4,559,406 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  5. U.S. Natural Gas Number of Commercial Consumers - Transported (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Commercial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 220,655 410,695 2000's 433,944 464,412 475,420 489,324 495,586 499,402 539,557 2010's 716,692 763,597 837,652 881,196 884,797 889,774 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016

  6. U.S. Natural Gas Number of Industrial Consumers - Sales (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Sales (Number of Elements) U.S. Natural Gas Number of Industrial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 182,424 157,050 2000's 157,806 152,974 143,177 142,816 151,386 146,450 135,070 2010's 129,119 124,552 121,821 123,124 122,502 120,426 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release

  7. U.S. Natural Gas Number of Industrial Consumers - Transported (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Industrial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49,014 71,281 2000's 75,826 64,052 62,738 62,698 57,672 59,773 58,760 2010's 63,611 64,749 67,551 69,164 69,637 68,159 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date:

  8. U.S. Natural Gas Number of Residential Consumers - Sales (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Sales (Number of Elements) U.S. Natural Gas Number of Residential Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 55,934,175 56,520,482 56,023,710 2000's 56,261,031 56,710,548 57,267,445 57,815,669 58,524,797 59,787,524 60,129,047 2010's 60,267,648 60,408,842 60,010,723 59,877,464 60,189,501 60,921,844 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  9. U.S. Natural Gas Number of Residential Consumers - Transported (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Residential Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 252,783 801,264 2,199,519 2000's 2,978,319 3,576,181 3,839,809 4,055,781 3,971,337 3,829,303 4,037,233 2010's 5,274,697 5,531,680 6,364,411 6,934,929 7,007,250 6,952,017 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  10. Results of detailed analyses performed on boring cores extracted from the concrete floors of the Fukushima Daiichi nuclear power plant reactor buildings

    SciTech Connect

    Maeda, Koji; Sasaki, S.; Kumai, M.; Sato, Isamu; Osaka, Masahiko; Fukushima, Mineo; Kawatsuma, Shinji; Goto, Tetsuo; Sakai, Hitoshi; Chigira, Takayuki; Murata, Hirotoshi

    2013-07-01

    Due to the massive earthquake and tsunami on March 11, 2011, and the following severe accident at the Fukushima Daiichi Nuclear Power Plant, concrete surfaces within the reactor buildings were exposed to radioactive liquid and vapor phase contaminants. In order to clarify the situation of this contamination in the reactor buildings of Units 1, 2 and 3, selected samples were transported to the Fuels Monitoring Facility in the Oarai Engineering Center of JAEA where they were subjected to analyses to determine the surface radionuclide concentrations and to characterize the radionuclide distributions in the samples. In particular, penetration of radiocesium in the surface coatings layer and sub-surface concrete was evaluated. The analysis results indicate that the situation of contamination in the building of Unit 2 was different from others, and the protective surface coatings on the concrete floors provided significant protection against radionuclide penetration. The localized penetration of contamination in the concrete floors was found to be confined within a millimeter of the surface of the coating layer of some millimeters. (authors)

  11. Property:NEPA SerialNumber | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    SerialNumber Jump to: navigation, search Property Name NEPA SerialNumber Property Type String This is a property of type String. Pages using the property "NEPA SerialNumber"...

  12. Property:OutagePhoneNumber | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    OutagePhoneNumber Jump to: navigation, search Property Name OutagePhoneNumber Property Type String Description An outage hotline or 24-hour customer service number Note: uses...

  13. Virginia Natural Gas Number of Gas and Gas Condensate Wells ...

    Energy Information Administration (EIA) (indexed site)

    Gas and Gas Condensate Wells (Number of Elements) Virginia Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  14. East Tennessee Technology Park by the Numbers | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    East Tennessee Technology Park by the Numbers East Tennessee Technology Park by the Numbers September 13, 2016 - 12:15pm Addthis East Tennessee Technology Park by the Numbers East Tennessee Technology Park by the Numbers East Tennessee Technology Park by the Numbers East Tennessee Technology Park by the Numbers Statistics associated with decontaminating, decommissioning and demolishing the five gaseous diffusion buildings at the East Tennessee Technology Park. Notable figures from the EM

  15. Property:NumberOfLowEmissionDevelopmentStrategiesExample | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    issionDevelopmentStrategiesExample Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLowEmissionDevelopmentStrategiesExample&oldid326472...

  16. Property:NumberOfLowEmissionDevelopmentStrategiesExamples | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    sionDevelopmentStrategiesExamples Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLowEmissionDevelopmentStrategiesExamples&oldid323715...

  17. Property:NumberOfResourceAssessments | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Jump to: navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfResourceAssessments&oldid31439...

  18. Property:Number of Plants included in Capacity Estimate | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    Plants included in Capacity Estimate Jump to: navigation, search Property Name Number of Plants included in Capacity Estimate Property Type Number Retrieved from "http:...

  19. Local Energy Assurance Planning: Map of States with Number of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities ...

  20. A combined Sm-Nd, Rb-Sr, and U-Pb isotopic study of Mg-suite norite 78238: Further evidence for early differentiation of the Moon

    SciTech Connect

    Edmunson, J; E.Borg, L; Nyquist, L E; Asmerom, Y

    2008-11-17

    Lunar Mg-suite norite 78238 was dated using the Sm-Nd, Rb-Sr, and U-Pb isotopic systems in order to constrain the age of lunar magma ocean solidification and the beginning of Mg-suite magmatism, as well as to provide a direct comparison between the three isotopic systems. The Sm-Nd isotopic system yields a crystallization age for 78238 of 4334 {+-} 37 Ma and an initial {var_epsilon}{sub Nd}{sup 143} value of -0.27 {+-} 0.74. The age-initial {var_epsilon}{sub Nd}{sup 143} (T-I) systematics of a variety of KREEP-rich samples, including 78238 and other Mg-suite rocks, KREEP basalts, and olivine cumulate NWA 773, suggest that lunar differentiation was completed by 4492 {+-} 61 Ma assuming a Chondritic Uniform Reservoir bulk composition for the Moon. The Rb-Sr isotopic systematics of 78238 were disturbed by post-crystallization processes. Nevertheless, selected data points yield two Rb-Sr isochrons. One is concordant with the Sm-Nd crystallization age, 4366 {+-} 53 Ma. The other is 4003 {+-} 95 Ma and is concordant with an Ar-Ar age for 78236. The {sup 207}Pb-{sup 206}Pb age of 4333 {+-} 59 Ma is concordant with the Sm-Nd age. The U-Pb isotopic systematics of 78238 yield linear arrays equivalent to younger ages than the Pb-Pb system, and may reflect fractionation of U and Pb during sample handling. Despite the disturbed nature of the U-Pb systems, a time-averaged {mu} ({sup 238}U/{sup 204}Pb) value of the source can be estimated at 27 {+-} 30 from the Pb-Pb isotopic systematics. Because KREEP-rich samples are likely to be derived from source regions with the highest U/Pb ratios, the relatively low {mu} value calculated for the 78238 source suggests the bulk Moon does not have an exceedingly high {mu} value.