National Library of Energy BETA

Sample records for matrix client number

  1. Clients

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

    396 2.273 2.156 2.155 2.211 2.147 2003-2016 All Grades - Conventional Areas 2.396 2.273 2.156 2.155 2.211 2.147 2003-2016 Regular 2.265 2.144 2.023 2.019 2.074 2.015 2003-2016 Conventional Areas 2.265 2.144 2.023 2.019 2.074 2.015 2003-2016 Midgrade 2.564 2.427 2.329 2.336 2.391 2.323 2003-2016 Conventional Areas 2.564 2.427 2.329 2.336 2.391 2.323 2003-2016 Premium 2.875 2.754 2.641 2.647 2.711 2.623 2003-2016 Conventional Areas 2.875 2.754 2.641 2.647 2.711 2.623 2003

    Clients Clients There

  2. BACnet Client

    Energy Science and Technology Software Center

    2013-06-30

    The BACnet Client is designed to gather data from building control systems through the BACnet protocol and send to various destinations for data logging and collection.

  3. Grid Client Tools

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

    Client Tools Grid Client Tools Using OSG and Globus client software You can either run the OSG/Globus client software directly on the NERSC systems via "modules" or by downloading it to your workstation. On your workstation: Download and install the OSG client software. Then run the following to setup your environment: % . $INSTALL_DIR/setup.sh or % source $INSTALL_DIR/setup.csh On NERSC Compute Systems: Use the module command to load the OSG or Globus toolkit. Where possible, you

  4. Sophia Client Version 12

    SciTech Connect

    2012-08-09

    Sophia Client Version 12 offers command line access to the Sophia Daemon and the Sophia database files. It provides print, fingerprint, acknowledge, color coding and status access to these other resources.

  5. OTP/LDAP Client Library

    Energy Science and Technology Software Center

    2007-10-01

    The OTP/LDAP Client Library provides a C library, PAM module and Perl module which can be used by developers to easily incorporate two-factor authentication in to their various client applications.

  6. ATTORNEY-CLIENT PRIVILEGED DOCUMENT

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

    ATTORNEY-CLIENT PRIVILEGED DOCUMENT 1 The Competition in Contracting Act (CICA) and Indian Preference Statutes and Preferences August 5, 2011 I. Background Issue: Does Section 2602(d) of the Energy Policy Act of 2005 (Pub. L. 109-58) (EPAct) Indian preference program have the necessary language to permit the use of noncompetitive procedures because EPAct provides for procurement procedures "otherwise expressly authorized by statute"? * Short answer: Yes. The plain language and

  7. Agreement Matrix

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

    be limited to 5 years. Certification: The Lab provided this DOE technology transfer matrix and explained all the options available including the availability of WFO agreements...

  8. Client and Tenant Education on Multifamily Retrofits | Department of Energy

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

    Client and Tenant Education on Multifamily Retrofits Client and Tenant Education on Multifamily Retrofits Client education is a critical step in successful building retrofits. | Photo by Dennis Schroeder, NREL 28546 Client education is a critical step in successful building retrofits. | Photo by Dennis Schroeder, NREL 28546 Even the best energy retrofit plans work only as well as the people occupying the building will allow. The Weatherization Assistance Program understands that a building is

  9. A Network Client Using the Gopher Information Discovery Protocol

    Energy Science and Technology Software Center

    1993-10-05

    WSGOPHER uses the protocol known as Gopher, which is described in Internet RFC 1436. Specifically Gopher is a client/server protocol. Gopher servers provide information across the network to Gopher clients. WSGOPHER is an implementation of a Gopher client for Microsoft Windows 3.1 and Windows Sockets version 1.1.

  10. Sync Matrix

    Energy Science and Technology Software Center

    2004-12-31

    Sync Matrix provides a graphic display of the relationships among all of the response activities of each jurisdiction. This is accomplished through software that organizes and displays the activities by jurisdiction, function, and time for easy review and analysis. The software can also integrate the displays of multiple jurisdictions to allow examination of the total response.

  11. V-082: Novell GroupWise Client Two Vulnerabilities

    Energy.gov [DOE]

    Two vulnerabilities have been reported in Novell GroupWise Client, which can be exploited by malicious people to compromise a user's system.

  12. Effective Energy Behavior Change for Low-Income Weatherization Clients

    Office of Energy Efficiency and Renewable Energy (EERE)

    This document contains the transcript for the Effective Energy Behavior Change for Low-Income Weatherization Clients webinar presented on May 31, 2012.

  13. The Weatherization Assistance Program: A Client's Story | Department of

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

    Energy The Weatherization Assistance Program: A Client's Story The Weatherization Assistance Program: A Client's Story Addthis Description Below is the text version for the "The Weatherization Assistance Program: A Client's Story" video. The video opens with a shot of the front of a ranch home. It pans through an image of a plaque presented to Len and Claudette Jones from her neighbors, given to them for their work to improve the neighborhood, before shifting to an elderly woman

  14. DOE VPN Client User Guide | Department of Energy

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

    32 and 64-bit versions. DOE VPN Client.pdf (1.01 MB) More Documents & Publications Instructions for WebVPN Connectivity Using Two-Factor RSA Token with WebVPN Remote Access Options

  15. Request queues for interactive clients in a shared file system of a parallel computing system

    DOEpatents

    Bent, John M.; Faibish, Sorin

    2015-08-18

    Interactive requests are processed from users of log-in nodes. A metadata server node is provided for use in a file system shared by one or more interactive nodes and one or more batch nodes. The interactive nodes comprise interactive clients to execute interactive tasks and the batch nodes execute batch jobs for one or more batch clients. The metadata server node comprises a virtual machine monitor; an interactive client proxy to store metadata requests from the interactive clients in an interactive client queue; a batch client proxy to store metadata requests from the batch clients in a batch client queue; and a metadata server to store the metadata requests from the interactive client queue and the batch client queue in a metadata queue based on an allocation of resources by the virtual machine monitor. The metadata requests can be prioritized, for example, based on one or more of a predefined policy and predefined rules.

  16. 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.

  17. Hybrid matrix fiber composites

    DOEpatents

    Deteresa, Steven J.; Lyon, Richard E.; Groves, Scott E.

    2003-07-15

    Hybrid matrix fiber composites having enhanced compressive performance as well as enhanced stiffness, toughness and durability suitable for compression-critical applications. The methods for producing the fiber composites using matrix hybridization. The hybrid matrix fiber composites include two chemically or physically bonded matrix materials, whereas the first matrix materials are used to impregnate multi-filament fibers formed into ribbons and the second matrix material is placed around and between the fiber ribbons that are impregnated with the first matrix material and both matrix materials are cured and solidified.

  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. MetaMatrix Groupe | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Jump to: navigation, search Name: MetaMatrix Groupe Address: 3206 Lamond Ct Place: San Jose, California Zip: 95148 Region: Bay Area Number of Employees: 1-10 Year Founded: 2004...

  20. V-147: IBM Lotus Notes Mail Client Lets Remote Users Execute...

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

    7: IBM Lotus Notes Mail Client Lets Remote Users Execute Java Applets V-147: IBM Lotus Notes Mail Client Lets Remote Users Execute Java Applets May 2, 2013 - 6:00am Addthis...

  1. V-134: Cisco AnyConnect Secure Mobility Client Heap Overflow...

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

    4: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local Users Gain Elevated Privileges V-134: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local Users ...

  2. Finding Nonoverlapping Substructures of a Sparse Matrix

    SciTech Connect

    Pinar, Ali; Vassilevska, Virginia

    2005-08-11

    Many applications of scientific computing rely on computations on sparse matrices. The design of efficient implementations of sparse matrix kernels is crucial for the overall efficiency of these applications. Due to the high compute-to-memory ratio and irregular memory access patterns, the performance of sparse matrix kernels is often far away from the peak performance on a modern processor. Alternative data structures have been proposed, which split the original matrix A into A{sub d} and A{sub s}, so that A{sub d} contains all dense blocks of a specified size in the matrix, and A{sub s} contains the remaining entries. This enables the use of dense matrix kernels on the entries of A{sub d} producing better memory performance. In this work, we study the problem of finding a maximum number of nonoverlapping dense blocks in a sparse matrix, which is previously not studied in the sparse matrix community. We show that the maximum nonoverlapping dense blocks problem is NP-complete by using a reduction from the maximum independent set problem on cubic planar graphs. We also propose a 2/3-approximation algorithm that runs in linear time in the number of nonzeros in the matrix. This extended abstract focuses on our results for 2x2 dense blocks. However we show that our results can be generalized to arbitrary sized dense blocks, and many other oriented substructures, which can be exploited to improve the memory performance of sparse matrix operations.

  3. V-134: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local

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

    Users Gain Elevated Privileges | Department of Energy 4: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local Users Gain Elevated Privileges V-134: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local Users Gain Elevated Privileges April 15, 2013 - 1:30am Addthis PROBLEM: Cisco AnyConnect Secure Mobility Client Heap Overflow Lets Local Users Gain Elevated Privileges PLATFORM: Cisco AnyConnect Secure Mobility Client Cisco Secure Desktop ABSTRACT: Some vulnerabilities

  4. Carbonate fuel cell matrix

    DOEpatents

    Farooque, Mohammad; Yuh, Chao-Yi

    1996-01-01

    A carbonate fuel cell matrix comprising support particles and crack attenuator particles which are made platelet in shape to increase the resistance of the matrix to through cracking. Also disclosed is a matrix having porous crack attenuator particles and a matrix whose crack attenuator particles have a thermal coefficient of expansion which is significantly different from that of the support particles, and a method of making platelet-shaped crack attenuator particles.

  5. Carbonate fuel cell matrix

    DOEpatents

    Farooque, M.; Yuh, C.Y.

    1996-12-03

    A carbonate fuel cell matrix is described comprising support particles and crack attenuator particles which are made platelet in shape to increase the resistance of the matrix to through cracking. Also disclosed is a matrix having porous crack attenuator particles and a matrix whose crack attenuator particles have a thermal coefficient of expansion which is significantly different from that of the support particles, and a method of making platelet-shaped crack attenuator particles. 8 figs.

  6. Nanocrystal doped matrixes

    DOEpatents

    Parce, J. Wallace; Bernatis, Paul; Dubrow, Robert; Freeman, William P.; Gamoras, Joel; Kan, Shihai; Meisel, Andreas; Qian, Baixin; Whiteford, Jeffery A.; Ziebarth, Jonathan

    2010-01-12

    Matrixes doped with semiconductor nanocrystals are provided. In certain embodiments, the semiconductor nanocrystals have a size and composition such that they absorb or emit light at particular wavelengths. The nanocrystals can comprise ligands that allow for mixing with various matrix materials, including polymers, such that a minimal portion of light is scattered by the matrixes. The matrixes of the present invention can also be utilized in refractive index matching applications. In other embodiments, semiconductor nanocrystals are embedded within matrixes to form a nanocrystal density gradient, thereby creating an effective refractive index gradient. The matrixes of the present invention can also be used as filters and antireflective coatings on optical devices and as down-converting layers. Processes for producing matrixes comprising semiconductor nanocrystals are also provided. Nanostructures having high quantum efficiency, small size, and/or a narrow size distribution are also described, as are methods of producing indium phosphide nanostructures and core-shell nanostructures with Group II-VI shells.

  7. Finding nonoverlapping substructures of a sparse matrix

    SciTech Connect

    Pinar, Ali; Vassilevska, Virginia

    2004-08-09

    Many applications of scientific computing rely on computations on sparse matrices, thus the design of efficient implementations of sparse matrix kernels is crucial for the overall efficiency of these applications. Due to the high compute-to-memory ratio and irregular memory access patterns, the performance of sparse matrix kernels is often far away from the peak performance on a modern processor. Alternative data structures have been proposed, which split the original matrix A into A{sub d} and A{sub s}, so that A{sub d} contains all dense blocks of a specified size in the matrix, and A{sub s} contains the remaining entries. This enables the use of dense matrix kernels on the entries of A{sub d} producing better memory performance. In this work, we study the problem of finding a maximum number of non overlapping rectangular dense blocks in a sparse matrix, which has not been studied in the sparse matrix community. We show that the maximum non overlapping dense blocks problem is NP-complete by using a reduction from the maximum independent set problem on cubic planar graphs. We also propose a 2/3-approximation algorithm for 2 times 2 blocks that runs in linear time in the number of nonzeros in the matrix. We discuss alternatives to rectangular blocks such as diagonal blocks and cross blocks and present complexity analysis and approximation algorithms.

  8. Automatic switching matrix

    DOEpatents

    Schlecht, Martin F.; Kassakian, John G.; Caloggero, Anthony J.; Rhodes, Bruce; Otten, David; Rasmussen, Neil

    1982-01-01

    An automatic switching matrix that includes an apertured matrix board containing a matrix of wires that can be interconnected at each aperture. Each aperture has associated therewith a conductive pin which, when fully inserted into the associated aperture, effects electrical connection between the wires within that particular aperture. Means is provided for automatically inserting the pins in a determined pattern and for removing all the pins to permit other interconnecting patterns.

  9. Fire Danger Matrix

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

    Danger Matrix Fire Danger Matrix Focusing on fire prevention and protection. Matrix of fire danger ratings and descriptions Fire Danger Ratings Fire Danger Rating Wind Parameters Shot, Burn Activity Construction Sites Fuels Mitigation Spark Producing Activities Non- Motorized Activities Red Flag PROHIBITED: Approved with Restrictions: Approved Hazard Control Plan PROHIBITED: PROHIBITED: Approved with Restrictions: Two-way Communications Management Accountability Extreme *<10 mph Approved with

  10. MATRIX AND VECTOR SERVICES

    Energy Science and Technology Software Center

    2001-10-18

    PETRA V2 provides matrix and vector services and the ability construct, query, and use matrix and vector objects that are used and computed by TRILINOS solvers. It provides all basic matr5ix and vector operations for solvers in TRILINOS.

  11. Improve client-contractor working relationships under PSM

    SciTech Connect

    Early, W.F. II [Early Consulting, Houston, TX (United States)

    1996-10-01

    Many operating companies rely on engineering/procurement/construction (EPC) contractors to provide needed services during expansions and other capital project ventures. These service providers are obligated to work under the same process safety management (PSM) guidelines as the operating company. So what are the responsibilities for the operating company (client), contractor and others under PSM? Following the checklist, EPC contractors and operating companies can develop and assign process safety responsibilities early in project planning. Under these conditions, all involved project parties are fully aware of their individual obligations as mandated by 29 CFR 1910.119 Process Safety Management of Highly Hazardous Chemicals (OSHA PSM). Fully disclosing individual party responsibilities ensures dialogue between the client and the EPC contractor and other involved service providers. Clearly defining and communicating project responsibilities may influence project execution and associated costs considerably. The paper describes the project planning under PSM, PSM elements, process safety information, process hazard analysis, operating procedures, training, contractor programs, pre-startup safety review, mechanical integrity, incident investigations, emergency planning and response, and compliance audits.

  12. T-573: Windows Remote Desktop Client DLL Loading Error Lets Remote Users Execute Arbitrary Code

    Energy.gov [DOE]

    A vulnerability was reported in Windows Remote Desktop Client. A remote user can cause arbitrary code to be executed on the target user's system.

  13. V-148: Novell iPrint Client Unspecified Buffer Overflow Vulnerability

    Energy.gov [DOE]

    A vulnerability has been reported in Novell iPrint Client, which can be exploited by malicious people to compromise a user's system

  14. Hybrid matrix amplifier

    DOEpatents

    Martens, Jon S.; Hietala, Vincent M.; Plut, Thomas A.

    1995-01-01

    The present invention comprises a novel matrix amplifier. The matrix amplifier includes an active superconducting power divider (ASPD) having N output ports; N distributed amplifiers each operatively connected to one of the N output ports of the ASPD; and a power combiner having N input ports each operatively connected to one of the N distributed amplifiers. The distributed amplifier can included M stages of amplification by cascading superconducting active devices. The power combiner can include N active elements. The resulting (N.times.M) matrix amplifier can produce signals of high output power, large bandwidth, and low noise.

  15. Hybrid matrix amplifier

    DOEpatents

    Martens, J.S.; Hietala, V.M.; Plut, T.A.

    1995-01-03

    The present invention comprises a novel matrix amplifier. The matrix amplifier includes an active superconducting power divider (ASPD) having N output ports; N distributed amplifiers each operatively connected to one of the N output ports of the ASPD; and a power combiner having N input ports each operatively connected to one of the N distributed amplifiers. The distributed amplifier can included M stages of amplification by cascading superconducting active devices. The power combiner can include N active elements. The resulting (N[times]M) matrix amplifier can produce signals of high output power, large bandwidth, and low noise. 6 figures.

  16. DEAR Contract Clause Matrix

    Office of Energy Efficiency and Renewable Energy (EERE)

    Attached for your information is a corrected Department of Energy Acquisition Regulation contract clause matrix. This corrected clause matrix is also being posted to the Stripes library. The earlier edition incorrectly identified 952.204-73 and 952.211-70 as Section K Certifications but they are correctly identified as Section L Instructions. The clause at 952.5223-3 Agreement regarding workplace substance abuse programs at Department of Energy sites has also been added. Thanks to Christopher Miller in Albuquerque for spotting the errors. A revised matrix is attached.

  17. Contract Clause Matrix

    Energy.gov [DOE]

    Attached for your information is a corrected Department of Energy Acquisition Regulation contract clause matrix. This corrected clause matrix is also being posted to the Stripes library. The earlier edition incorrectly designated 970.5223-78, Sustainable acquisition, as a required clause. It is only required in contracts under which the contractor operates Government-owned facilities, Government owned fleets or performs construction at a Government-owned facility.

  18. Symmetrical parametrizations of the lepton mixing matrix

    SciTech Connect

    Rodejohann, W. [Max-Planck-Institut fuer Kernphysik, Postfach 103980, 69029 Heidelberg (Germany); Valle, J. W. F. [AHEP Group, Institut de Fisica Corpuscular--C.S.I.C./Universitat de Valencia, Edificio Institutos de Paterna, Apt 22085, E-46071 Valencia (Spain)

    2011-10-01

    Advantages of the original symmetrical form of the parametrization of the lepton mixing matrix are discussed. It provides a conceptually more transparent description of neutrino oscillations and lepton number violating processes like neutrinoless double beta decay, clarifying the significance of Dirac and Majorana phases. It is also ideal for parametrizing scenarios with light sterile neutrinos.

  19. Sync Matrix Enterprise

    Energy Science and Technology Software Center

    2007-12-01

    SME is an emergency response planning and exercise design and management software. SME implements an innovative approach of hosting its data in a customized Windows SharPoint Services (WSS) 3.0 site, and uses a Microsoft Win Forms technology as front-end to access the backend SharePoint list data as a client-server application. The utilization of WSS 3.0 allowed for a light weight application with the pwoer or project, data, document and user management tools that can linkmore » with everyday application such as Microsoft Office products, especially Outlook. The WinForms front-end application programmatically accesses the SharePoint List data through the exposed SharePoint Web Services application programming inerface (API). The SharePoint environment includes customized Web Parts that programmatically create new SharePoint sites with custom lists. The application also takes advantage of AJAX and Silverlight technologies to create a richer user experience for the SharePoint users.« less

  20. T-635: Cisco AnyConnect Secure Mobility Client Lets Remote Users...

    Office of Environmental Management (EM)

    remote users with secure IPsec (IKEv2) or SSL Virtual Private Network (VPN) connections ... When the Cisco AnyConnect Secure Mobility Client is deployed from the VPN headend, an SSL ...

  1. Solid Waste Information and Tracking System Client Server Conversion Project Management Plan

    SciTech Connect

    GLASSCOCK, J.A.

    2000-02-10

    The Project Management Plan governing the conversion of SWITS to a client-server architecture. The PMP describes the background, planning and management of the SWITS conversion. Requirements and specification documentation needed for the SWITS conversion

  2. U-196: Cisco AnyConnect VPN Client Two Vulnerabilities | Department...

    Office of Environmental Management (EM)

    Two vulnerabilities have been reported in Cisco AnyConnect VPN Client, which can be exploited by malicious people to compromise a user's system. PLATFORM: Cisco AnyConnect VPN ...

  3. WIPP Field Practices: The Weatherization Client File: Accountability and Best Practices Webinar (text version)

    Office of Energy Efficiency and Renewable Energy (EERE)

    It is about the client file, but more so it's about the large impact it has on the weatherized unit and how it can be used to track and complete a quality weatherized house.

  4. 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...

  5. Basic Matrix Library (bml), Version 0.x

    Energy Science and Technology Software Center

    2015-11-24

    The basic matrix library (bml) is a collection of various matrix data formats (in dense and sparse) and their associated algorithms for basic matrix operations.

  6. 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

  7. Technique for information retrieval using enhanced latent semantic analysis generating rank approximation matrix by factorizing the weighted morpheme-by-document matrix

    DOEpatents

    Chew, Peter A; Bader, Brett W

    2012-10-16

    A technique for information retrieval includes parsing a corpus to identify a number of wordform instances within each document of the corpus. A weighted morpheme-by-document matrix is generated based at least in part on the number of wordform instances within each document of the corpus and based at least in part on a weighting function. The weighted morpheme-by-document matrix separately enumerates instances of stems and affixes. Additionally or alternatively, a term-by-term alignment matrix may be generated based at least in part on the number of wordform instances within each document of the corpus. At least one lower rank approximation matrix is generated by factorizing the weighted morpheme-by-document matrix and/or the term-by-term alignment matrix.

  8. Remote information service access system based on a client-server-service model

    DOEpatents

    Konrad, A.M.

    1997-12-09

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user`s local host, thereby providing ease of use and minimal software maintenance for users of that remote service. 16 figs.

  9. Remote information service access system based on a client-server-service model

    DOEpatents

    Konrad, A.M.

    1996-08-06

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user`s local host, thereby providing ease of use and minimal software maintenance for users of that remote service. 16 figs.

  10. Remote information service access system based on a client-server-service model

    DOEpatents

    Konrad, Allan M.

    1997-01-01

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user's local host, thereby providing ease of use and minimal software maintenance for users of that remote service.

  11. Remote information service access system based on a client-server-service model

    DOEpatents

    Konrad, Allan M.

    1996-01-01

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user's local host, thereby providing ease of use and minimal software maintenance for users of that remote service.

  12. Remote information service access system based on a client-server-service model

    DOEpatents

    Konrad, Allan M.

    1999-01-01

    A local host computing system, a remote host computing system as connected by a network, and service functionalities: a human interface service functionality, a starter service functionality, and a desired utility service functionality, and a Client-Server-Service (CSS) model is imposed on each service functionality. In one embodiment, this results in nine logical components and three physical components (a local host, a remote host, and an intervening network), where two of the logical components are integrated into one Remote Object Client component, and that Remote Object Client component and the other seven logical components are deployed among the local host and remote host in a manner which eases compatibility and upgrade problems, and provides an illusion to a user that a desired utility service supported on a remote host resides locally on the user's local host, thereby providing ease of use and minimal software maintenance for users of that remote service.

  13. 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

  14. 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 ...

  15. Scale dependency of the effective matrix diffusion coefficient

    SciTech Connect

    Liu, H.H.; Bodvarsson, G.S.; Zhang, G.

    2003-05-30

    It has been recognized that matrix diffusion is an important process for retarding solute transport in fractured rock. Based on analyses of tracer transport data from a number of field tests, we demonstrate for the first time that the effective matrix-diffusion coefficient may be scale dependent and generally increases with test scale. A preliminary theoretical explanation of this scale dependency is also presented, based on the hypothesis that solute travel paths within a fracture network are fractals.

  16. Categorizing Threat Building and Using a Generic Threat Matrix | Department

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

    of Energy Categorizing Threat Building and Using a Generic Threat Matrix Categorizing Threat Building and Using a Generic Threat Matrix The key piece of knowledge necessary for building defenses capable of withstanding or surviving cyber and kinetic attacks is an understanding of the capabilities posed by threats to a government, function, or system. With the number of threats continuing to increase, it is no longer feasible to enumerate the capabilities of all known threats and then build

  17. Glass matrix armor

    DOEpatents

    Calkins, Noel C.

    1991-01-01

    An armor system which utilizes glass. A plurality of constraint cells are mounted on a surface of a substrate, which is metal armor plate or a similar tough material, such that the cells almost completely cover the surface of the substrate. Each constraint cell has a projectile-receiving wall parallel to the substrate surface and has sides which are perpendicular to and surround the perimeter of the receiving wall. The cells are mounted such that, in one embodiment, the substrate surface serves as a sixth side or closure for each cell. Each cell has inside of it a plate, termed the front plate, which is parallel to and in contact with substantially all of the inside surface of the receiving wall. The balance of each cell is completely filled with a projectile-abrading material consisting of glass and a ceramic material and, in certain embodiments, a polymeric material. The glass may be in monolithic form or particles of ceramic may be dispersed in a glass matrix. The ceramic material may be in monolithic form or may be in the form of particles dispersed in glass or dispersed in said polymer.

  18. Emergency Response Synchronization Matrix

    Energy Science and Technology Software Center

    1999-06-01

    An emergency response to a disaster is complex, requiring the rapid integration, coordination, and synchronization of multiple levels of governmental and non-governmental organizations from numerous jurisdictions into a unified community response. For example, a community’s response actions to a fixed site hazardous materials incident could occur in an area extending from an on-site storage location to points 25 or more miles away. Response actions are directed and controlled by local governments and agencies situated withinmore » the response area, as well as by state and federal operaticns centers quite removed from the area of impact. Time is critical and the protective action decision-making process is greatly compressed. The response community must carefully plan and coordinate response operations in order to have confidence that they will be effectively implemented when faced with the potentially catastrophic nature of such releases. A graphical depiction of the entire response process via an emergency response synchronization matrix is an effective tool in optimizing the planning, exercising, and implementation of emergency plans. This system—based approach to emergency planning depicts how a community organizes its response tasks across space and time in relation to hazard actions. It provides the opportunity to make real—time adjustments as necessary for maximizing the often limited resources in protecting area residents. A response must involve the entire community and must not be limited by individual jurisdictions and organizations acting on their own without coordination, integration, and synchronization.« less

  19. WKB approximation for general matrix Hamiltonians

    SciTech Connect

    Bjorken, J.D.; Orbach, H.S.

    1981-05-15

    We present a method of obtaining WKB-type solutions for generalized Schroedinger equations for which the Hamiltonian is an arbitrary matrix function of any number of pairs of canonical operators. Our solution reduces the problem to that of finding the matrix which diagonalizes the classical Hamiltonian and determining the scalar WKB wave functions for the diagonalized Hamiltonian's entries (presented explicitly in terms of classical quantities). If the classical Hamiltonian has degenerate eigenvalues, the solution contains a vector in the classically degenerate subspace. This vector satisfies a classical equation and is given explicitly in terms of the classical Hamiltonian as a Dyson series. As an example, we obtain, from the Dirac equation for an electron with anomalous magnetic moment, the relativistic spin-precession equation.

  20. Ceramic matrix composite article and process of fabricating a ceramic matrix composite article

    DOEpatents

    Cairo, Ronald Robert; DiMascio, Paul Stephen; Parolini, Jason Robert

    2016-01-12

    A ceramic matrix composite article and a process of fabricating a ceramic matrix composite are disclosed. The ceramic matrix composite article includes a matrix distribution pattern formed by a manifold and ceramic matrix composite plies laid up on the matrix distribution pattern, includes the manifold, or a combination thereof. The manifold includes one or more matrix distribution channels operably connected to a delivery interface, the delivery interface configured for providing matrix material to one or more of the ceramic matrix composite plies. The process includes providing the manifold, forming the matrix distribution pattern by transporting the matrix material through the manifold, and contacting the ceramic matrix composite plies with the matrix material.

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

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

    Energy Information Administration (EIA) (indexed site)

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

    Gasoline and Diesel Fuel Update

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  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

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  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. Molybdenum disilicide alloy matrix composite

    DOEpatents

    Petrovic, J.J.; Honnell, R.E.; Gibbs, W.S.

    1991-12-03

    Compositions of matter consisting of matrix materials having silicon carbide dispersed throughout them and methods of making the compositions are disclosed. A matrix material is an alloy of an intermetallic compound, molybdenum disilicide, and at least one secondary component which is a refractory silicide. The silicon carbide dispersant may be in the form of VLS whiskers, VS whiskers, or submicron powder or a mixture of these forms. 3 figures.

  9. 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.

  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. Analytical techniques for instrument design - matrix methods

    SciTech Connect

    Robinson, R.A.

    1997-09-01

    We take the traditional Cooper-Nathans approach, as has been applied for many years for steady-state triple-axis spectrometers, and consider its generalisation to other inelastic scattering spectrometers. This involves a number of simple manipulations of exponentials of quadratic forms. In particular, we discuss a toolbox of matrix manipulations that can be performed on the 6- dimensional Cooper-Nathans matrix: diagonalisation (Moller-Nielsen method), coordinate changes e.g. from ({Delta}k{sub I},{Delta}k{sub F} to {Delta}E, {Delta}Q & 2 dummy variables), integration of one or more variables (e.g. over such dummy variables), integration subject to linear constraints (e.g. Bragg`s Law for analysers), inversion to give the variance-covariance matrix, and so on. We show how these tools can be combined to solve a number of important problems, within the narrow-band limit and the gaussian approximation. We will argue that a generalised program that can handle multiple different spectrometers could (and should) be written in parallel to the Monte-Carlo packages that are becoming available. We will also discuss the complementarity between detailed Monte-Carlo calculations and the approach presented here. In particular, Monte-Carlo methods traditionally simulate the real experiment as performed in practice, given a model scattering law, while the Cooper-Nathans method asks the inverse question: given that a neutron turns up in a particular spectrometer configuration (e.g. angle and time of flight), what is the probability distribution of possible scattering events at the sample? The Monte-Carlo approach could be applied in the same spirit to this question.

  12. Ceramic Matrix Composites | GE Global Research

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

    Ceramic Matrix Composites Improve Engine Efficiency Ceramic matrix composites (CMCs) are a breakthrough materials technology for jet engines that started at our Global Research Center ...

  13. 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.

  14. Assessing data quality for a federal environmental restoration project: Rationalizing the requirements of multiple clients

    SciTech Connect

    Kiszka, V.R.; Carlsen, T.M.

    1994-07-01

    Most environmental restoration projects at federal facilities face the difficult task of melding the quality assurance (QA) requirements of multiple clients, as well as dealing with historical data that are often of unknown quality. At Lawrence Livermore National Laboratory (LLNL), we have successfully integrated the requirements of our multiple clients by carefully developing a QA program that efficiently meets our clients` needs. The Site 300 Experimental Test Site is operated by LLNL in support of its national defense program. The responsibility for conducting environmental contaminant investigations and restoration at Site 300 is vested in the Site 300 Environmental Restoration Project (Site 300 ERP) of LLNL`s Environmental Restoration Division. LLNL Site 300 ERP must comply with the QA requirements of several clients, which include: the LLNL Environmental Protection Department, the DOE, the US Environmental Protection Agency-Region IX (EPA), the California Regional Water Quality Control Board -- Central Valley Region, and the California Department of Toxic Substances Control. This comprehensive QA program was used to determine the acceptability of historical data. The Site 300 ERP began soil and ground water investigations in 1982. However, we did not begin receiving analytical quality assurance/quality control (QA/QC) data until 1989; therefore, the pre-1989 data that were collected are of unknown quality. The US EPA QAMS-005/80 defines data quality as the totality of features and characteristics of data that bears on its ability to satisfy a given purpose. In the current context, the characteristics of major importance are accuracy, precision, completeness, representativeness, and comparability. Using our established QA program, we determined the quality of this historical data based on its comparability to the post-1989 data. By accepting this historical data, we were able to save a considerable amount of money in recharacterization costs.

  15. Sandia Generated Matrix Tool (SGMT) v. 1.0

    Energy Science and Technology Software Center

    2010-03-24

    Provides a tool with which create and characterize a very large set of matrix-based visual analogy problems that have properties that are similar to Raven™s Progressive Matrices (RPMs). The software uses the same underlying patterns found in RPMs to generate large numbers of unique matrix problems using parameters chosen by the researcher. Specifically, the software is designed so that researchers can choose the type, direction, and number of relations in a problem and then createmore » any number of unique matrices that share the same underlying structure (e.g. changes in numerosity in a diagonal pattern) but have different surface features (e.g. shapes, colors).Raven™s Progressive Matrices (RPMs) are a widely-used test for assessing intelligence and reasoning ability. Since the test is non-verbal, it can be applied to many different populations and has been used all over the world. However, there are relatively few matrices in the sets developed by Raven, which limits their use in experiments requiring large numbers of stimuli. This tool creates a matrix set in a systematic way that allows researchers to have a great deal of control over the underlying structure, surface features, and difficulty of the matrix problems while providing a large set of novel matrices with which to conduct experiments.« less

  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. Semiclassical S-matrix for black holes

    DOE PAGES [OSTI]

    Bezrukov, Fedor; Levkov, Dmitry; Sibiryakov, Sergey

    2015-12-01

    In this study, we propose a semiclassical method to calculate S-matrix elements for two-stage gravitational transitions involving matter collapse into a black hole and evaporation of the latter. The method consistently incorporates back-reaction of the collapsing and emitted quanta on the metric. We illustrate the method in several toy models describing spherical self-gravitating shells in asymptotically flat and AdS space-times. We find that electrically neutral shells reflect via the above collapse-evaporation process with probability exp(–B), where B is the Bekenstein-Hawking entropy of the intermediate black hole. This is consistent with interpretation of exp(B) as the number of black hole states.more » The same expression for the probability is obtained in the case of charged shells if one takes into account instability of the Cauchy horizon of the intermediate Reissner-Nordström black hole. As a result, our semiclassical method opens a new systematic approach to the gravitational S-matrix in the non-perturbative regime.« less

  18. The TRUPACT-II Matrix Depleton Program

    SciTech Connect

    Connolly, M.J.; Djordjevic, S.M.; Loehr, C.A.; Smith, M.C.; Banjac, V.; Lyon, W.F.

    1995-12-01

    Contact-handled transuranic (CH-TRU) wastes will be shipped and disposed at the Waste Isolation Pilot Plant (WIPP) repository in the Transuranic Package Transporter-II (TRUPACT-II) shipping package. A primary transportation requirement for the TRUPACT-II is that the concentration of potentially flammable gases (i.e., hydrogen and methane) must not exceed 5 percent by volume in the package or the payload during a 60-day shipping period. Decomposition of waste materials by radiation, or radiolysis, is the predominant mechanism of gas generation during transport. The gas generation potential of a target waste material is characterized by a G-value, which is the number of molecules of gas generated per 100 eV of ionizing radiation absorbed by the target material. To demonstrate compliance with the flammable gas concentration requirement, theoretical worst-case calculations were performed to establish allowable wattage (decay heat) limits for waste containers. The calculations were based on the G-value for the waste material with the highest potential for flammable gas generation. The calculations also made no allowances for decreases of the G-value over time due to matrix depletion phenomena that have been observed by many experimenters. Matrix depletion occurs over time when an alpha-generating source particle alters the target material (by evaporation, reaction, or decomposition) into a material of lower gas generating potential. The net effect of these alterations is represented by the ``effective G-value.``

  19. Conductance matrix of multiterminal semiconductor devices with edge channels

    SciTech Connect

    Danilovskii, E. Yu. Bagraev, N. T.

    2014-12-15

    A method for determining the conductance matrix of multiterminal semiconductor structures with edge channels is proposed. The method is based on the solution of a system of linear algebraic equations based on Kirchhoff equations, made up of potential differences U{sub ij} measured at stabilized currents I{sub kl}, where i, j, k, l are terminal numbers. The matrix obtained by solving the system of equations completely describes the structure under study, reflecting its configuration and homogeneity. This method can find wide application when using the known Landauer-Buttiker formalism to analyze carrier transport in the quantum Hall effect and quantum spin Hall effect modes. Within the proposed method, the contribution of the contact area resistances R{sub c} to the formation of conductance matrix elements is taken into account. The possibilities of practical application of the results obtained in developing analog cryptographic devices are considered.

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

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

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  13. SAMQUA - Quantum Numbers of Compound Nuclear States for R-Matrix...

    Office of Scientific and Technical Information (OSTI)

    Authors: Bouland, Olivier ; Babut, Richard 1 ; Larson, Nancy M. 2 + Show Author Affiliations Commissariat a l'Energie Atomique - DENLEPh - C.E. Cadarache, F-13108 St. ...

  14. Using the Domain Name System to Thwart Automated Client-Based Attacks

    SciTech Connect

    Taylor, Curtis R; Shue, Craig A

    2011-09-01

    On the Internet, attackers can compromise systems owned by other people and then use these systems to launch attacks automatically. When attacks such as phishing or SQL injections are successful, they can have negative consequences including server downtime and the loss of sensitive information. Current methods to prevent such attacks are limited in that they are application-specific, or fail to block attackers. Phishing attempts can be stopped with email filters, but if the attacker manages to successfully bypass these filters, then the user must determine if the email is legitimate or not. Unfortunately, they often are unable to do so. Since attackers have a low success rate, they attempt to compensate for it in volume. In order to have this high throughput, attackers take shortcuts and break protocols. We use this knowledge to address these issues by implementing a system that can detect malicious activity and use it to block attacks. If the client fails to follow proper procedure, they can be classified as an attacker. Once an attacker has been discovered, they will be isolated and monitored. This can be accomplished using existing software in Ubuntu Linux applications, along with our custom wrapper application. After running the system and seeing its performance on three popular Web browsers Chromium, Firefox and Internet Explorer as well as two popular email clients, Thunderbird and Evolution, we found that not only is this system conceivable, it is effective and has low overhead.

  15. Microsoft Word - Cross Reference Matrix Introduction.doc | Department...

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

    Cross Reference Matrix Introduction.doc Microsoft Word - Cross Reference Matrix Introduction.doc PDF icon Microsoft Word - Cross Reference Matrix Introduction.doc More Documents & ...

  16. Uniform-burning matrix burner

    DOEpatents

    Bohn, Mark S.; Anselmo, Mark

    2001-01-01

    Computer simulation was used in the development of an inward-burning, radial matrix gas burner and heat pipe heat exchanger. The burner and exchanger can be used to heat a Stirling engine on cloudy days when a solar dish, the normal source of heat, cannot be used. Geometrical requirements of the application forced the use of the inward burning approach, which presents difficulty in achieving a good flow distribution and air/fuel mixing. The present invention solved the problem by providing a plenum with just the right properties, which include good flow distribution and good air/fuel mixing with minimum residence time. CFD simulations were also used to help design the primary heat exchanger needed for this application which includes a plurality of pins emanating from the heat pipe. The system uses multiple inlet ports, an extended distance from the fuel inlet to the burner matrix, flow divider vanes, and a ring-shaped, porous grid to obtain a high-temperature uniform-heat radial burner. Ideal applications include dish/Stirling engines, steam reforming of hydrocarbons, glass working, and any process requiring high temperature heating of the outside surface of a cylindrical surface.

  17. 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 ...

  18. Energy density matrix formalism for interacting quantum systems: a quantum Monte Carlo study

    SciTech Connect

    Krogel, Jaron T; Kim, Jeongnim; Reboredo, Fernando A

    2014-01-01

    We develop an energy density matrix that parallels the one-body reduced density matrix (1RDM) for many-body quantum systems. Just as the density matrix gives access to the number density and occupation numbers, the energy density matrix yields the energy density and orbital occupation energies. The eigenvectors of the matrix provide a natural orbital partitioning of the energy density while the eigenvalues comprise a single particle energy spectrum obeying a total energy sum rule. For mean-field systems the energy density matrix recovers the exact spectrum. When correlation becomes important, the occupation energies resemble quasiparticle energies in some respects. We explore the occupation energy spectrum for the finite 3D homogeneous electron gas in the metallic regime and an isolated oxygen atom with ground state quantum Monte Carlo techniques imple- mented in the QMCPACK simulation code. The occupation energy spectrum for the homogeneous electron gas can be described by an effective mass below the Fermi level. Above the Fermi level evanescent behavior in the occupation energies is observed in similar fashion to the occupation numbers of the 1RDM. A direct comparison with total energy differences demonstrates a quantita- tive connection between the occupation energies and electron addition and removal energies for the electron gas. For the oxygen atom, the association between the ground state occupation energies and particle addition and removal energies becomes only qualitative. The energy density matrix provides a new avenue for describing energetics with quantum Monte Carlo methods which have traditionally been limited to total energies.

  19. Solid waste information and tracking system client-server conversion project management plan

    SciTech Connect

    May, D.L.

    1998-04-15

    This Project Management Plan is the lead planning document governing the proposed conversion of the Solid Waste Information and Tracking System (SWITS) to a client-server architecture. This plan presents the content specified by American National Standards Institute (ANSI)/Institute of Electrical and Electronics Engineers (IEEE) standards for software development, with additional information categories deemed to be necessary to describe the conversion fully. This plan is a living document that will be reviewed on a periodic basis and revised when necessary to reflect changes in baseline design concepts and schedules. This PMP describes the background, planning and management of the SWITS conversion. It does not constitute a statement of product requirements. Requirements and specification documentation needed for the SWITS conversion will be released as supporting documents.

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. FERC Licensing Processes Matrix | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: FERC Licensing Processes MatrixPermittingRegulatory GuidanceGuideHandbook...

  3. Zinc Matrix Power Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    California Zip: 93101 Product: Develops high-performance rechargeable alkaline battery technology for commercial and military markets. References: Zinc Matrix Power Inc1...

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Two new constraints for the cumulant matrix

    SciTech Connect

    Ramos-Cordoba, Eloy; Salvador, Pedro; Matito, Eduard; Piris, Mario

    2014-12-21

    We suggest new strict constraints that the two-particle cumulant matrix should fulfill. The constraints are obtained from the decomposition of ?S-^{sup 2}?, previously developed in our laboratory, and the vanishing number of electrons shared by two non-interacting fragments. The conditions impose stringent constraints into the cumulant structure without any need to perform an orbital optimization procedure thus carrying very small or no computational effort. These constraints are tested on the series of Piris natural orbital functionals (PNOF), which are among the most accurate ones available in the literature. Interestingly, even though all PNOF cumulants ensure correct overall ?S{sup ^2}? values, none of them is consistent with the local spin structure of systems that dissociate more than one pair of electrons. A careful analysis of the local spin components reveals the most important missing contributions in the cumulant expression thus suggesting a means to improve PNOF5. The constraints provide an inexpensive tool for the construction and testing of cumulant structures that complement previously known conditions such as the N-representability or the square of the total spin angular momentum, ?S{sup ^2}?.

  11. Matrix-free constructions of circulant and block circulant preconditioners

    SciTech Connect

    Yang, Chao; Ng, Esmond G.; Penczek, Pawel A.

    2001-12-01

    A framework for constructing circulant and block circulant preconditioners (C) for a symmetric linear system Ax=b arising from certain signal and image processing applications is presented in this paper. The proposed scheme does not make explicit use of matrix elements of A. It is ideal for applications in which A only exists in the form of a matrix vector multiplication routine, and in which the process of extracting matrix elements of A is costly. The proposed algorithm takes advantage of the fact that for many linear systems arising from signal or image processing applications, eigenvectors of A can be well represented by a small number of Fourier modes. Therefore, the construction of C can be carried out in the frequency domain by carefully choosing its eigenvalues so that the condition number of C{sup T} AC can be reduced significantly. We illustrate how to construct the spectrum of C in a way such that the smallest eigenvalues of C{sup T} AC overlaps with those of A extremely well while the largest eigenvalues of C{sup T} AC are smaller than those of A by several orders of magnitude. Numerical examples are provided to demonstrate the effectiveness of the preconditioner on accelerating the solution of linear systems arising from image reconstruction application.

  12. Polymer Matrix Composites: A Perspective for a Special Issue of Polymer Reviews

    SciTech Connect

    Kessler, Michael R.

    2012-09-04

    Polymer matrix composites, with their high specific strength and stiffness, are used in a wide range of applications from large wind turbine blades to microelectronics. This perspective article provides a brief primer on polymer matrix composites, discusses some of their advantages and limitations, and describes a number of emerging trends in the field. In addition, it introduces four review articles on the topics of recent developments in carbon fibers, natural fiber reinforced composites, evaluation of the interface between the fiber reinforcement and polymer matrix, and carbon nanotube reinforced polymers.

  13. 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

  14. 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

  15. Maximizing sparse matrix vector product performance in MIMD computers

    SciTech Connect

    McLay, R.T.; Kohli, H.S.; Swift, S.L.; Carey, G.F.

    1994-12-31

    A considerable component of the computational effort involved in conjugate gradient solution of structured sparse matrix systems is expended during the Matrix-Vector Product (MVP), and hence it is the focus of most efforts at improving performance. Such efforts are hindered on MIMD machines due to constraints on memory, cache and speed of memory-cpu data transfer. This paper describes a strategy for maximizing the performance of the local computations associated with the MVP. The method focuses on single stride memory access, and the efficient use of cache by pre-loading it with data that is re-used while bypassing it for other data. The algorithm is designed to behave optimally for varying grid sizes and number of unknowns per gridpoint. Results from an assembly language implementation of the strategy on the iPSC/860 show a significant improvement over the performance using FORTRAN.

  16. 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.

  17. 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

  18. 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:

  19. 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

  20. 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:

  1. 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:

  2. 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

  3. 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

  4. 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:

  5. 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.

  6. 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.

  7. Visual Matrix Clustering of Social Networks

    SciTech Connect

    Wong, Pak C.; Mackey, Patrick S.; Foote, Harlan P.; May, Richard A.

    2013-07-01

    The prevailing choices to graphically represent a social network in todays literature are a node-link graph layout and an adjacency matrix. Both visualization techniques have unique strengths and weaknesses when applied to different domain applications. In this article, we focus our discussion on adjacency matrix and how to turn the matrix-based visualization technique from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. We also use node-link layouts to supplement the discussion.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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; -- =

  19. 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

  20. 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

  1. 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; -- =

  2. 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

  3. 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; -- =

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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;

  12. 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

  13. 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 =

  14. 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

  15. 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 =

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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 =

  2. 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

  3. 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; -- =

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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 =

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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 =

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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:

  2. 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 =

  3. 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

  4. 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

  5. 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;

  6. 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

  7. 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

  8. 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

  9. 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;

  10. 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 =

  11. 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

  12. 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;

  13. 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;

  14. 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 =

  15. 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

  16. 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;

  17. 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

  18. 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

  19. 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 =

  20. 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

  1. 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; --

  2. 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

  3. 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 =

  4. 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 =

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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 =

  11. 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 =

  12. 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

  13. 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

  14. 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 =

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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 =

  20. 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

  1. 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

  2. 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 =

  3. 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

  4. 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

  5. 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

  6. 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 =

  7. Neutrinoless double beta decay and nuclear matrix elements

    SciTech Connect

    Simkovic, Fedor [BLTP, JINR Dubna, 141980 Dubna, Moscow region (Russian Federation); Comenius University, Mlynska dolina, Bratislava (Slovakia)

    2011-11-23

    The fundamental importance of searching for neutrinoless double-beta decay (0{nu}{beta}{beta}-decay) is widely recognized. Observation of the decay would tell us that the total lepton number is not conserved and that, consequently, neutrinos are massive Majorana fermions. The 0{nu}{beta}{beta}-decay is discussed in context of neutrino oscillation data. The perspectives of the experimental 0{nu}{beta}{beta}-decay searches are analyzed. The importance of reliable determination of the 0{nu}{beta}{beta}-decay nuclear matrix elements is pointed out.

  8. Nuclear waste storage container with metal matrix

    DOEpatents

    Sump, Kenneth R.

    1978-01-01

    The invention relates to a storage container for high-level waste having a metal matrix for the high-level waste, thereby providing greater impact strength for the waste container and increasing heat transfer properties.

  9. Integrated optic vector-matrix multiplier

    DOEpatents

    Watts, Michael R. (Albuquerque, NM)

    2011-09-27

    A vector-matrix multiplier is disclosed which uses N different wavelengths of light that are modulated with amplitudes representing elements of an N.times.1 vector and combined to form an input wavelength-division multiplexed (WDM) light stream. The input WDM light stream is split into N streamlets from which each wavelength of the light is individually coupled out and modulated for a second time using an input signal representing elements of an M.times.N matrix, and is then coupled into an output waveguide for each streamlet to form an output WDM light stream which is detected to generate a product of the vector and matrix. The vector-matrix multiplier can be formed as an integrated optical circuit using either waveguide amplitude modulators or ring resonator amplitude modulators.

  10. JOBAID-VIEWING AN EMPLOYEE MATRIX (SUPERVISOR)

    Energy.gov [DOE]

    The purpose of this job aid is to guide supervisor users through the step-by-step process of viewing an employee matrix within SuccessFactors Learning.

  11. Nanophosphor composite scintillator with a liquid matrix

    DOEpatents

    McKigney, Edward Allen; Burrell, Anthony Keiran; Bennett, Bryan L.; Cooke, David Wayne; Ott, Kevin Curtis; Bacrania, Minesh Kantilal; Del Sesto, Rico Emilio; Gilbertson, Robert David; Muenchausen, Ross Edward; McCleskey, Thomas Mark

    2010-03-16

    An improved nanophosphor scintillator liquid comprises nanophosphor particles in a liquid matrix. The nanophosphor particles are optionally surface modified with an organic ligand. The surface modified nanophosphor particle is essentially surface charge neutral, thereby preventing agglomeration of the nanophosphor particles during dispersion in a liquid scintillator matrix. The improved nanophosphor scintillator liquid may be used in any conventional liquid scintillator application, including in a radiation detector.

  12. Fuel cell with electrolyte matrix assembly

    DOEpatents

    Kaufman, Arthur; Pudick, Sheldon; Wang, Chiu L.

    1988-01-01

    This invention is directed to a fuel cell employing a substantially immobilized electrolyte imbedded therein and having a laminated matrix assembly disposed between the electrodes of the cell for holding and distributing the electrolyte. The matrix assembly comprises a non-conducting fibrous material such as silicon carbide whiskers having a relatively large void-fraction and a layer of material having a relatively small void-fraction.

  13. Cure shrinkage effects in epoxy and polycyanate matrix composites

    SciTech Connect

    Spellman, G.P.

    1995-12-22

    A relatively new advanced composite matrix, polycyanate ester, was evaluated for cure shrinkage. The chemical cure shrinkage of composites is difficult to model but a number of clever experimental techniques are available to the investigator. In this work the method of curing a prepreg layup on top of a previously cured laminate of identical ply composition is utilized. The polymeric matrices used in advanced composites have been primarily epoxies and therefore a common system of this type, Fiberite 3501-6, was used as a base case material. Three polycyanate matrix systems were selected for the study. These are: Fiberite 954-2A, YLA RS-3, and Bryte Technology BTCy-1. The first three of these systems were unidirectional prepreg with carbon fiber reinforcement. The Bryte Technology material was reinforced with E-glass fabric. The technique used to evaluate cure shrinkage results in distortion of the flatness of an otherwise symmetric laminate. The first laminate is cured in a conventional fashion. An identical layup is cured on this first laminate. During the second cure all constituents are exposed to the same thermal cycles. However, only the new portion of the laminate will experience volumetric changes associate with matrix cure. The additional strain of cure shrinkage results in an unsymmetric distribution of residual stresses and an associated warpage of the laminate. The baseline material, Fiberite 3501-6, exhibited cure shrinkage that was in accordance with expectations. Cure strains were {minus}4.5E-04. The YLA RS-3 material had cure strains somewhat lower at {minus}3.2E-04. The Fiberite 954-2A cure strain was {minus}1.5E-04 that is 70% lower than the baseline material. The glass fabric material with the Bryte BTCy-1 matrix did not result in meaningful results because the processing methods were not fully compatible with the material.

  14. Weak signal detection in hyperspectral imagery using sparse matrix transform (SMT) covariance estimation

    SciTech Connect

    Theiler, James P; Cao, Guangzhi; Bouman, Charles A

    2009-01-01

    Many detection algorithms in hyperspectral image analysis, from well-characterized gaseous and solid targets to deliberately uncharacterized anomalies and anomlous changes, depend on accurately estimating the covariance matrix of the background. In practice, the background covariance is estimated from samples in the image, and imprecision in this estimate can lead to a loss of detection power. In this paper, we describe the sparse matrix transform (SMT) and investigate its utility for estimating the covariance matrix from a limited number of samples. The SMT is formed by a product of pairwise coordinate (Givens) rotations, which can be efficiently estimated using greedy optimization. Experiments on hyperspectral data show that the estimate accurately reproduces even small eigenvalues and eigenvectors. In particular, we find that using the SMT to estimate the covariance matrix used in the adaptive matched filter leads to consistently higher signal-to-noise ratios.

  15. Method of producing a hybrid matrix fiber composite

    DOEpatents

    Deteresa, Steven J. (Livermore, CA); Lyon, Richard E. (Absecon, NJ); Groves, Scott E. (Brentwood, CA)

    2006-03-28

    Hybrid matrix fiber composites having enhanced compressive performance as well as enhanced stiffness, toughness and durability suitable for compression-critical applications. The methods for producing the fiber composites using matrix hybridization. The hybrid matrix fiber composites comprised of two chemically or physically bonded matrix materials, whereas the first matrix materials are used to impregnate multi-filament fibers formed into ribbons and the second matrix material is placed around and between the fiber ribbons that are impregnated with the first matrix material and both matrix materials are cured and solidified.

  16. Matrix Agro Pvt Ltd MAPL | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Matrix Agro Pvt Ltd MAPL Jump to: navigation, search Name: Matrix Agro Pvt. Ltd. (MAPL) Place: Hyderabad, Andhra Pradesh, India Zip: 500034 Sector: Biomass Product: Hyderabad-based...

  17. Chiral random matrix model at finite chemical potential: Characteristi...

    Office of Scientific and Technical Information (OSTI)

    Chiral random matrix model at finite chemical potential: Characteristic determinant and edge universality Prev Next Title: Chiral random matrix model at finite chemical ...

  18. Electrolyte matrix for molten carbonate fuel cells

    DOEpatents

    Huang, Chao M.; Yuh, Chao-Yi

    1999-01-01

    A matrix for a carbonate electrolyte including a support material and an additive constituent having a relatively low melting temperature and a relatively high coefficient of thermal expansion. The additive constituent is from 3 to 45 weight percent of the matrix and is formed from raw particles whose diameter is in a range of 0.1 .mu.m to 20 .mu.m and whose aspect ratio is in a range of 1 to 50. High energy intensive milling is used to mix the support material and additive constituent during matrix formation. Also disclosed is the use of a further additive constituent comprising an alkaline earth containing material. The further additive is mixed with the support material using high energy intensive milling.

  19. Electrolyte matrix for molten carbonate fuel cells

    DOEpatents

    Huang, C.M.; Yuh, C.Y.

    1999-02-09

    A matrix is described for a carbonate electrolyte including a support material and an additive constituent having a relatively low melting temperature and a relatively high coefficient of thermal expansion. The additive constituent is from 3 to 45 weight percent of the matrix and is formed from raw particles whose diameter is in a range of 0.1 {micro}m to 20 {micro}m and whose aspect ratio is in a range of 1 to 50. High energy intensive milling is used to mix the support material and additive constituent during matrix formation. Also disclosed is the use of a further additive constituent comprising an alkaline earth containing material. The further additive is mixed with the support material using high energy intensive milling. 5 figs.

  20. t matrix of metallic wire structures

    SciTech Connect

    Zhan, T. R. Chui, S. T.

    2014-04-14

    To study the electromagnetic resonance and scattering properties of complex structures of which metallic wire structures are constituents within multiple scattering theory, the t matrix of individual structures is needed. We have recently developed a rigorous and numerically efficient equivalent circuit theory in which retardation effects are taken into account for metallic wire structures. Here, we show how the t matrix can be calculated analytically within this theory. We illustrate our method with the example of split ring resonators. The density of states and cross sections for scattering and absorption are calculated, which are shown to be remarkably enhanced at resonant frequencies. The t matrix serves as the basic building block to evaluate the interaction of wire structures within the framework of multiple scattering theory. This will open the door to efficient design and optimization of assembly of wire structures.

  1. Brief announcement: Hypergraph parititioning for parallel sparse matrix-matrix multiplication

    SciTech Connect

    Ballard, Grey; Druinsky, Alex; Knight, Nicholas; Schwartz, Oded

    2015-01-01

    The performance of parallel algorithms for sparse matrix-matrix multiplication is typically determined by the amount of interprocessor communication performed, which in turn depends on the nonzero structure of the input matrices. In this paper, we characterize the communication cost of a sparse matrix-matrix multiplication algorithm in terms of the size of a cut of an associated hypergraph that encodes the computation for a given input nonzero structure. Obtaining an optimal algorithm corresponds to solving a hypergraph partitioning problem. Furthermore, our hypergraph model generalizes several existing models for sparse matrix-vector multiplication, and we can leverage hypergraph partitioners developed for that computation to improve application-specific algorithms for multiplying sparse matrices.

  2. Brief announcement: Hypergraph parititioning for parallel sparse matrix-matrix multiplication

    DOE PAGES [OSTI]

    Ballard, Grey; Druinsky, Alex; Knight, Nicholas; Schwartz, Oded

    2015-01-01

    The performance of parallel algorithms for sparse matrix-matrix multiplication is typically determined by the amount of interprocessor communication performed, which in turn depends on the nonzero structure of the input matrices. In this paper, we characterize the communication cost of a sparse matrix-matrix multiplication algorithm in terms of the size of a cut of an associated hypergraph that encodes the computation for a given input nonzero structure. Obtaining an optimal algorithm corresponds to solving a hypergraph partitioning problem. Furthermore, our hypergraph model generalizes several existing models for sparse matrix-vector multiplication, and we can leverage hypergraph partitioners developed for that computationmore » to improve application-specific algorithms for multiplying sparse matrices.« less

  3. Interaction picture density matrix quantum Monte Carlo

    SciTech Connect

    Malone, Fionn D. Lee, D. K. K.; Foulkes, W. M. C.; Blunt, N. S.; Shepherd, James J.; Spencer, J. S.

    2015-07-28

    The recently developed density matrix quantum Monte Carlo (DMQMC) algorithm stochastically samples the N-body thermal density matrix and hence provides access to exact properties of many-particle quantum systems at arbitrary temperatures. We demonstrate that moving to the interaction picture provides substantial benefits when applying DMQMC to interacting fermions. In this first study, we focus on a system of much recent interest: the uniform electron gas in the warm dense regime. The basis set incompleteness error at finite temperature is investigated and extrapolated via a simple Monte Carlo sampling procedure. Finally, we provide benchmark calculations for a four-electron system, comparing our results to previous work where possible.

  4. Polymeric matrix materials for infrared metamaterials

    DOEpatents

    Dirk, Shawn M; Rasberry, Roger D; Rahimian, Kamyar

    2014-04-22

    A polymeric matrix material exhibits low loss at optical frequencies and facilitates the fabrication of all-dielectric metamaterials. The low-loss polymeric matrix material can be synthesized by providing an unsaturated polymer, comprising double or triple bonds; partially hydrogenating the unsaturated polymer; depositing a film of the partially hydrogenated polymer and a crosslinker on a substrate; and photopatterning the film by exposing the film to ultraviolet light through a patterning mask, thereby cross-linking at least some of the remaining unsaturated groups of the partially hydrogenated polymer in the exposed portions.

  5. HXeOBr in a xenon matrix

    SciTech Connect

    Khriachtchev, Leonid; Tapio, Salla; Domanskaya, Alexandra V.; Raesaenen, Markku; Isokoski, Karoliina; Lundell, Jan

    2011-03-28

    We report on a new noble-gas molecule HXeOBr prepared in a low-temperature xenon matrix from the HBr and N{sub 2}O precursors by UV photolysis and thermal annealing. This molecule is assigned with the help of deuteration experiments and ab initio calculations including anharmonic methods. The H-Xe stretching frequency of HXeOBr is observed at 1634 cm{sup -1}, which is larger by 56 cm{sup -1} than the frequency of HXeOH identified previously. The experiments show a higher thermal stability of HXeOBr molecules in a xenon matrix compared to HXeOH.

  6. Analytical solutions to matrix diffusion problems

    SciTech Connect

    Keklinen, Pekka

    2014-10-06

    We report an analytical method to solve in a few cases of practical interest the equations which have traditionally been proposed for the matrix diffusion problem. In matrix diffusion, elements dissolved in ground water can penetrate the porous rock surronuding the advective flow paths. In the context of radioactive waste repositories this phenomenon provides a mechanism by which the area of rock surface in contact with advecting elements is greatly enhanced, and can thus be an important delay mechanism. The cases solved are relevant for laboratory as well for in situ experiments. Solutions are given as integral representations well suited for easy numerical solution.

  7. Polymer matrix electroluminescent materials and devices

    DOEpatents

    Marrocco, III, Matthew L.; Motamedi, Farshad J.; Abdelrazzaq, Feras Bashir; Abdelrazzaq, legal representative, Bashir Twfiq

    2012-06-26

    Photoluminescent and electroluminescent compositions are provided which comprise a matrix comprising aromatic repeat units covalently coordinated to a phosphorescent or luminescent metal ion or metal ion complexes. Methods for producing such compositions, and the electroluminescent devices formed therefrom, are also disclosed.

  8. Density matrix embedding in an antisymmetrized geminal power bath

    SciTech Connect

    Tsuchimochi, Takashi; Welborn, Matthew; Van Voorhis, Troy

    2015-07-14

    Density matrix embedding theory (DMET) has emerged as a powerful tool for performing wave function-in-wave function embedding for strongly correlated systems. In traditional DMET, an accurate calculation is performed on a small impurity embedded in a mean field bath. Here, we extend the original DMET equations to account for correlation in the bath via an antisymmetrized geminal power (AGP) wave function. The resulting formalism has a number of advantages. First, it allows one to properly treat the weak correlation limit of independent pairs, which DMET is unable to do with a mean-field bath. Second, it associates a size extensive correlation energy with a given density matrix (for the models tested), which AGP by itself is incapable of providing. Third, it provides a reasonable description of charge redistribution in strongly correlated but non-periodic systems. Thus, AGP-DMET appears to be a good starting point for describing electron correlation in molecules, which are aperiodic and possess both strong and weak electron correlation.

  9. Device for collecting and analyzing matrix-isolated samples

    DOEpatents

    Reedy, Gerald T.

    1979-01-01

    A gas-sample collection device is disclosed for matrix isolation of individual gas bands from a gas chromatographic separation and for presenting these distinct samples for spectrometric examination. The device includes a vacuum chamber containing a rotatably supported, specular carrousel having a number of external, reflecting surfaces around its axis of rotation for holding samples. A gas inlet is provided for depositing sample and matrix material on the individual reflecting surfaces maintained at a sufficiently low temperature to cause solidification. Two optical windows or lenses are installed in the vacuum chamber walls for transmitting a beam of electromagnetic radiation, for instance infrared light, through a selected sample. Positioned within the chamber are two concave mirrors, the first aligned to receive the light beam from one of the lenses and focus it to the sample on one of the reflecting surfaces of the carrousel. The second mirror is aligned to receive reflected light from that carrousel surface and to focus it outwardly through the second lens. The light beam transmitted from the sample is received by a spectrometer for determining absorption spectra.

  10. 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.

  11. High-frequency matrix converter with square wave input

    SciTech Connect

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  12. Random matrix models for chiral and diquark condensation

    SciTech Connect

    Vanderheyden, B.; Jackson, A.D.

    2005-06-14

    We consider random matrix models for the thermodynamic competition between chiral symmetry breaking and diquark condensation in QCD at finite temperature and finite baryon density. The models produce mean field phase diagrams whose topology depends solely on the global symmetries of the theory. We discuss the block structure of the interactions that is imposed by chiral, spin, and color degrees of freedom and comment on the treatment of density and temperature effects. Extension of the coupling parameters to a larger class of theories allows us to investigate the robustness of the phase topology with respect to variations in the dynamics of the interactions. We briefly study the phase structure as a function of coupling parameters and the number of colors.

  13. Ceramic fiber ceramic matrix filter development

    SciTech Connect

    Judkins, R.R.; Stinton, D.P.; Smith, R.G.; Fischer, E.M.

    1994-09-01

    The objectives of this project were to develop a novel type of candle filter based on a ceramic fiber-ceramic matrix composite material, and to extend the development to full-size, 60-mm OD by 1-meter-long candle filters. The goal is to develop a ceramic filter suitable for use in a variety of fossil energy system environments such as integrated coal gasification combined cycles (IGCC), pressurized fluidized-bed combustion (PFBC), and other advanced coal combustion environments. Further, the ceramic fiber ceramic matrix composite filter, hereinafter referred to as the ceramic composite filter, was to be inherently crack resistant, a property not found in conventional monolithic ceramic candle filters, such as those fabricated from clay-bonded silicon carbide. Finally, the adequacy of the filters in the fossil energy system environments is to be proven through simulated and in-plant tests.

  14. Absorption properties of waste matrix materials

    SciTech Connect

    Briggs, J.B.

    1997-06-01

    This paper very briefly discusses the need for studies of the limiting critical concentration of radioactive waste matrix materials. Calculated limiting critical concentration values for some common waste materials are listed. However, for systems containing large quantities of waste materials, differences up to 10% in calculated k{sub eff} values are obtained by changing cross section data sets. Therefore, experimental results are needed to compare with calculation results for resolving these differences and establishing realistic biases.

  15. Nanophosphor composite scintillators comprising a polymer matrix

    DOEpatents

    Muenchausen, Ross Edward; Mckigney, Edward Allen; Gilbertson, Robert David

    2010-11-16

    An improved nanophosphor composite comprises surface modified nanophosphor particles in a solid matrix. The nanophosphor particle surface is modified with an organic ligand, or by covalently bonding a polymeric or polymeric precursor material. The surface modified nanophosphor particle is essentially charge neutral, thereby preventing agglomeration of the nanophosphor particles during formation of the composite material. The improved nanophosphor composite may be used in any conventional scintillator application, including in a radiation detector.

  16. G - Risk, Responsibility, and Performance Matrix

    Energy.gov [DOE] (indexed site)

    RRPM-1 The Risk, Responsibility, and Performance Matrix (RRPM) - Testing in Oregon, the WET-NZ is an innovative wave energy converter that interacts with all components of the wave to maximize energy capture. (Photo Courtesy of Justin Klure / Northwest Energy Innovations through NREL Image Gallery.) Recognizing and Assigning Risks and Responsibilities * Acquisition Planning Phase 1 * ESCO Selection 2 * Preliminary Assessment 2 * Notice of Intent to Award 2 * Request for Proposal 3 *

  17. Graphite matrix materials for nuclear waste isolation

    SciTech Connect

    Morgan, W.C.

    1981-06-01

    At low temperatures, graphites are chemically inert to all but the strongest oxidizing agents. The raw materials from which artificial graphites are produced are plentiful and inexpensive. Morover, the physical properties of artificial graphites can be varied over a very wide range by the choice of raw materials and manufacturing processes. Manufacturing processes are reviewed herein, with primary emphasis on those processes which might be used to produce a graphite matrix for the waste forms. The approach, recommended herein, involves the low-temperature compaction of a finely ground powder produced from graphitized petroleum coke. The resultant compacts should have fairly good strength, low permeability to both liquids and gases, and anisotropic physical properties. In particular, the anisotropy of the thermal expansion coefficients and the thermal conductivity should be advantageous for this application. With two possible exceptions, the graphite matrix appears to be superior to the metal alloy matrices which have been recommended in prior studies. The two possible exceptions are the requirements on strength and permeability; both requirements will be strongly influenced by the containment design, including the choice of materials and the waste form, of the multibarrier package. Various methods for increasing the strength, and for decreasing the permeability of the matrix, are reviewed and discussed in the sections in Incorporation of Other Materials and Elimination of Porosity. However, it would be premature to recommend a particular process until the overall multi-barrier design is better defined. It is recommended that increased emphasis be placed on further development of the low-temperature compacted graphite matrix concept.

  18. 2d PDE Linear Asymmetric Matrix Solver

    Energy Science and Technology Software Center

    1983-10-01

    ILUCG2 (Incomplete LU factorized Conjugate Gradient algorithm for 2d problems) was developed to solve a linear asymmetric matrix system arising from a 9-point discretization of two-dimensional elliptic and parabolic partial differential equations found in plasma physics applications, such as plasma diffusion, equilibria, and phase space transport (Fokker-Planck equation) problems. These equations share the common feature of being stiff and requiring implicit solution techniques. When these parabolic or elliptic PDE''s are discretized with finite-difference or finite-elementmore » methods, the resulting matrix system is frequently of block-tridiagonal form. To use ILUCG2, the discretization of the two-dimensional partial differential equation and its boundary conditions must result in a block-tridiagonal supermatrix composed of elementary tridiagonal matrices. A generalization of the incomplete Cholesky conjugate gradient algorithm is used to solve the matrix equation. Loops are arranged to vectorize on the Cray1 with the CFT compiler, wherever possible. Recursive loops, which cannot be vectorized, are written for optimum scalar speed. For problems having a symmetric matrix ICCG2 should be used since it runs up to four times faster and uses approximately 30% less storage. Similar methods in three dimensions are available in ICCG3 and ILUCG3. A general source, containing extensions and macros, which must be processed by a pre-compiler to obtain the standard FORTRAN source, is provided along with the standard FORTRAN source because it is believed to be more readable. The pre-compiler is not included, but pre-compilation may be performed by a text editor as described in the UCRL-88746 Preprint.« less

  19. T-635: Cisco AnyConnect Secure Mobility Client Lets Remote Users Execute Arbitrary Code and Local Users Gain Elevated Privileges

    Energy.gov [DOE]

    Cisco AnyConnect Secure Mobility Client contains a vulnerability that could allow an unauthenticated, remote attacker to execute arbitrary code on a targeted system. The vulnerability exists due to improper validation of program executables downloaded by the Cisco AnyConnect Secure Mobility Client. An unauthenticated, remote attacker could exploit the vulnerability by convincing the targeted user to view a malicious website. If successful, the attacker could execute arbitrary code on the system with the privileges of the user. Cisco confirmed the vulnerability in a security advisory and released software updates.

  20. Gas chromatography/matrix-isolation apparatus

    DOEpatents

    Reedy, Gerald T.

    1986-01-01

    A gas-sample collection device provides matrix isolation of individual gas bands from a gas chromatographic separation and for the spectroscopic analysis of the individual sample bands. The device includes a vacuum chamber containing a rotatably supported, specular carousel having at least one reflecting surface for holding a sample deposited thereon. A gas inlet is provided for depositing a mixture of sample and matrix material on the reflecting surface which is maintained at a sufficiently low temperature to cause solidification. A first parabolic mirror directs an incident beam of electromagnetic radiation, such as in the infrared (IR) spectrum, from a source onto the sample/matrix mixture while a second parabolic mirror directs a second beam of electromagnetic radiation reflected by the specular surface to an IR spectrometer for determining the absorption spectra of the sample material deposited on the reflecting surface. The pair of off-axis parabolic mirrors having a common focal point are positioned outside of the vacuum chamber and may be displaced in combination for improved beam positioning and alignment. The carousel is provided with an aperture for each reflecting surface to facilitate accurate positioning of the incident beam relative to the gas-samples under analysis. Improved gas-sample deposition is insured by the use of a long focal length stereomicroscope positioned outside of the vacuum chamber for monitoring sample formation through a window, while the sample collector is positioned outside of the zone bounded by the incident and reflected electromagnetic beams for improved sample access and monitoring.

  1. Full CKM matrix with lattice QCD

    SciTech Connect

    Okamoto, Masataka; /Fermilab

    2004-12-01

    The authors show that it is now possible to fully determine the CKM matrix, for the first time, using lattice QCD. |V{sub cd}|, |V{sub cs}|, |V{sub ub}|, |V{sub cb}| and |V{sub us}| are, respectively, directly determined with the lattice results for form factors of semileptonic D {yields} {pi}lv, D {yields} Klv, B {yields} {pi}lv, B {yields} Dlv and K {yields} {pi}lv decays. The error from the quenched approximation is removed by using the MILC unquenced lattice gauge configurations, where the effect of u, d and s quarks is included. The error from the ''chiral'' extrapolation (m{sub l} {yields} m{sub ud}) is greatly reduced by using improved staggered quarks. The accuracy is comparable to that of the Particle Data Group averages. In addition, |V{sub ud}|, |V{sub ts}|, |V{sub ts}| and |V{sub td}| are determined by using unitarity of the CKM matrix and the experimental result for sin (2{beta}). In this way, they obtain all 9 CKM matrix elements, where the only theoretical input is lattice QCD. They also obtain all the Wolfenstein parameters, for the first time, using lattice QCD.

  2. Low-rank matrix decomposition and spatio-temporal sparse recovery for STAP radar

    SciTech Connect

    Sen, Satyabrata

    2015-08-04

    We develop space-time adaptive processing (STAP) methods by leveraging the advantages of sparse signal processing techniques in order to detect a slowly-moving target. We observe that the inherent sparse characteristics of a STAP problem can be formulated as the low-rankness of clutter covariance matrix when compared to the total adaptive degrees-of-freedom, and also as the sparse interference spectrum on the spatio-temporal domain. By exploiting these sparse properties, we propose two approaches for estimating the interference covariance matrix. In the first approach, we consider a constrained matrix rank minimization problem (RMP) to decompose the sample covariance matrix into a low-rank positive semidefinite and a diagonal matrix. The solution of RMP is obtained by applying the trace minimization technique and the singular value decomposition with matrix shrinkage operator. Our second approach deals with the atomic norm minimization problem to recover the clutter response-vector that has a sparse support on the spatio-temporal plane. We use convex relaxation based standard sparse-recovery techniques to find the solutions. With extensive numerical examples, we demonstrate the performances of proposed STAP approaches with respect to both the ideal and practical scenarios, involving Doppler-ambiguous clutter ridges, spatial and temporal decorrelation effects. As a result, the low-rank matrix decomposition based solution requires secondary measurements as many as twice the clutter rank to attain a near-ideal STAP performance; whereas the spatio-temporal sparsity based approach needs a considerably small number of secondary data.

  3. Low-rank matrix decomposition and spatio-temporal sparse recovery for STAP radar

    DOE PAGES [OSTI]

    Sen, Satyabrata

    2015-08-04

    We develop space-time adaptive processing (STAP) methods by leveraging the advantages of sparse signal processing techniques in order to detect a slowly-moving target. We observe that the inherent sparse characteristics of a STAP problem can be formulated as the low-rankness of clutter covariance matrix when compared to the total adaptive degrees-of-freedom, and also as the sparse interference spectrum on the spatio-temporal domain. By exploiting these sparse properties, we propose two approaches for estimating the interference covariance matrix. In the first approach, we consider a constrained matrix rank minimization problem (RMP) to decompose the sample covariance matrix into a low-rank positivemore » semidefinite and a diagonal matrix. The solution of RMP is obtained by applying the trace minimization technique and the singular value decomposition with matrix shrinkage operator. Our second approach deals with the atomic norm minimization problem to recover the clutter response-vector that has a sparse support on the spatio-temporal plane. We use convex relaxation based standard sparse-recovery techniques to find the solutions. With extensive numerical examples, we demonstrate the performances of proposed STAP approaches with respect to both the ideal and practical scenarios, involving Doppler-ambiguous clutter ridges, spatial and temporal decorrelation effects. As a result, the low-rank matrix decomposition based solution requires secondary measurements as many as twice the clutter rank to attain a near-ideal STAP performance; whereas the spatio-temporal sparsity based approach needs a considerably small number of secondary data.« less

  4. Fission matrix-based Monte Carlo criticality analysis of fuel storage pools

    SciTech Connect

    Farlotti, M.; Larsen, E. W.

    2013-07-01

    Standard Monte Carlo transport procedures experience difficulties in solving criticality problems in fuel storage pools. Because of the strong neutron absorption between fuel assemblies, source convergence can be very slow, leading to incorrect estimates of the eigenvalue and the eigenfunction. This study examines an alternative fission matrix-based Monte Carlo transport method that takes advantage of the geometry of a storage pool to overcome this difficulty. The method uses Monte Carlo transport to build (essentially) a fission matrix, which is then used to calculate the criticality and the critical flux. This method was tested using a test code on a simple problem containing 8 assemblies in a square pool. The standard Monte Carlo method gave the expected eigenfunction in 5 cases out of 10, while the fission matrix method gave the expected eigenfunction in all 10 cases. In addition, the fission matrix method provides an estimate of the error in the eigenvalue and the eigenfunction, and it allows the user to control this error by running an adequate number of cycles. Because of these advantages, the fission matrix method yields a higher confidence in the results than standard Monte Carlo. We also discuss potential improvements of the method, including the potential for variance reduction techniques. (authors)

  5. 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 ...

  6. Large N (=3) Neutrinos and Random Matrix Theory (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Large N (3) Neutrinos and Random Matrix Theory Citation Details In-Document Search Title: Large N (3) Neutrinos and Random Matrix Theory You are accessing a ...

  7. Microsoft Word - Cross Reference Matrix Introduction.doc

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

    Cross Reference Matrix Introduction This cross-reference matrix is intended to provide NRC reviewers with an aid to show where Yucca Mountain Review Plan (YMRP) (NUREG-1804) acceptance criteria as well as 10 CFR Part 63 regulations are addressed within the Yucca Mountain Repository License Application. This matrix does not assert compliance with 10 CFR Part 63 or the YMRP; it is provided as an aid to reviewers. The information contained in this matrix is generally repeated in tables at the

  8. Matrix, Drug Testing for DOE Security Clearance - September 1, 2011 |

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

    Department of Energy Matrix, Drug Testing for DOE Security Clearance - September 1, 2011 Matrix, Drug Testing for DOE Security Clearance - September 1, 2011 September 1, 2011 The following matrix identifies those individuals required to have a current negative drug test as a prerequisite for being processed for a security clearance The following matrix identifies those individuals required to have a current negative drug test as a prerequisite for being processed for a security clearance. A

  9. CESP Tool 2.1: Stakeholder Matrix | Department of Energy

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

    1: Stakeholder Matrix CESP Tool 2.1: Stakeholder Matrix Tool 2.1: Stakeholder Matrix from Step 2: Identify and Engage Stakeholders of the Guide to Community Energy Strategic Planning. CESP Tool 2.1: Stakeholder Matrix (27.87 KB) More Documents & Publications Guide to Community Energy Strategic Planning: Step 2 Guide to Community Energy Strategic Planning CESP Tool 9.1: Monitoring Plan Template

  10. SALTSTONE MATRIX CHARACTERIZATION AND STADIUM SIMULATION RESULTS

    SciTech Connect

    Langton, C.

    2009-07-30

    SIMCO Technologies, Inc. was contracted to evaluate the durability of the saltstone matrix material and to measure saltstone transport properties. This information will be used to: (1) Parameterize the STADIUM{reg_sign} service life code, (2) Predict the leach rate (degradation rate) for the saltstone matrix over 10,000 years using the STADIUM{reg_sign} concrete service life code, and (3) Validate the modeled results by conducting leaching (water immersion) tests. Saltstone durability for this evaluation is limited to changes in the matrix itself and does not include changes in the chemical speciation of the contaminants in the saltstone. This report summarized results obtained to date which include: characterization data for saltstone cured up to 365 days and characterization of saltstone cured for 137 days and immersed in water for 31 days. Chemicals for preparing simulated non-radioactive salt solution were obtained from chemical suppliers. The saltstone slurry was mixed according to directions provided by SRNL. However SIMCO Technologies Inc. personnel made a mistake in the premix proportions. The formulation SIMCO personnel used to prepare saltstone premix was not the reference mix proportions: 45 wt% slag, 45 wt% fly ash, and 10 wt% cement. SIMCO Technologies Inc. personnel used the following proportions: 21 wt% slag, 65 wt% fly ash, and 14 wt% cement. The mistake was acknowledged and new mixes have been prepared and are curing. The results presented in this report are assumed to be conservative since the excessive fly ash was used in the SIMCO saltstone. The SIMCO mixes are low in slag which is very reactive in the caustic salt solution. The impact is that the results presented in this report are expected to be conservative since the samples prepared were deficient in slag and contained excess fly ash. The hydraulic reactivity of slag is about four times that of fly ash so the amount of hydrated binder formed per unit volume in the SIMCO saltstone samples is

  11. Metal Matrix Microencapsulated (M3) fuel neutronics performance in PWRs

    SciTech Connect

    Fratoni, Massimiliano; Terrani, Kurt A

    2012-01-01

    Metal Matrix Microencapsulated (M3) fuel consists of TRISO or BISO coated fuel particles directly dispersed in a matrix of zirconium metal to form a solid rod (Fig. 1). In this integral fuel concept the cladding tube and the failure mechanisms associated with it have been eliminated. In this manner pellet-clad-interactions (PCI), thin tube failure due to oxidation and hydriding, and tube pressurization and burst will be absent. M3 fuel, given the high stiffness of the integral rod design, could as well improve grid-to-rod wear behavior. Overall M3 fuel, compared to existing fuel designs, is expected to provide greatly improved operational performance. Multiple barriers to fission product release (ceramic coating layers in the coated fuel particle and te metal matrix) and the high thermal conductivity zirconium alloy metal matrix contribute to the enhancement in fuel behavior. The discontinuous nature of fissile material encapsulated in coated particles provides additional assistance; for instance if the M3 fuel rod is snapped into multiple pieces, only the limited number of fuel particles at the failure cross section are susceptible to release fission products. This is in contrast to the conventional oxide fuel where the presence of a small opening in the cladding provides the pathway for release of the entire inventory of fission products from the fuel rod. While conventional metal fuels (e.g. U-Zr and U-Mo) are typically expected to experience large swelling under irradiation due to the high degree of damage from fission fragments and introduction of fission gas into the lattice, this is not the case for M3 fuels. The fissile portion of the fuel is contained within the coated particle where enough room is available to accommodate fission gases and kernel swelling. The zirconium metal matrix will not be exposed to fission products and its swelling is known to be very limited when exposed solely to neutrons. Under design basis RIA and LOCA, fuel performance will be

  12. Gas chromatography/matrix-isolation apparatus

    DOEpatents

    Reedy, G.T.

    1986-06-10

    A gas-sample collection device provides matrix isolation of individual gas bands from a gas chromatographic separation and for the spectroscopic analysis of the individual sample bands. The device includes a vacuum chamber containing a rotatably supported, specular carousel having at least one reflecting surface for holding a sample deposited thereon. A gas inlet is provided for depositing a mixture of sample and matrix material on the reflecting surface which is maintained at a sufficiently low temperature to cause solidification. A first parabolic mirror directs an incident beam of electromagnetic radiation, such as in the infrared (IR) spectrum, from a source onto the sample/matrix mixture while a second parabolic mirror directs a second beam of electromagnetic radiation reflected by the specular surface to an IR spectrometer for determining the absorption spectra of the sample material deposited on the reflecting surface. The pair of off-axis parabolic mirrors having a common focal point are positioned outside of the vacuum chamber and may be displaced in combination for improved beam positioning and alignment. The carousel is provided with an aperture for each reflecting surface to facilitate accurate positioning of the incident beam relative to the gas-samples under analysis. Improved gas-sample deposition is insured by the use of a long focal length stereomicroscope positioned outside of the vacuum chamber for monitoring sample formation through a window, while the sample collector is positioned outside of the zone bounded by the incident and reflected electromagnetic beams for improved sample access and monitoring. 10 figs.

  13. 2d PDE Linear Symmetric Matrix Solver

    Energy Science and Technology Software Center

    1983-10-01

    ICCG2 (Incomplete Cholesky factorized Conjugate Gradient algorithm for 2d symmetric problems) was developed to solve a linear symmetric matrix system arising from a 9-point discretization of two-dimensional elliptic and parabolic partial differential equations found in plasma physics applications, such as resistive MHD, spatial diffusive transport, and phase space transport (Fokker-Planck equation) problems. These problems share the common feature of being stiff and requiring implicit solution techniques. When these parabolic or elliptic PDE''s are discretized withmore » finite-difference or finite-element methods,the resulting matrix system is frequently of block-tridiagonal form. To use ICCG2, the discretization of the two-dimensional partial differential equation and its boundary conditions must result in a block-tridiagonal supermatrix composed of elementary tridiagonal matrices. The incomplete Cholesky conjugate gradient algorithm is used to solve the linear symmetric matrix equation. Loops are arranged to vectorize on the Cray1 with the CFT compiler, wherever possible. Recursive loops, which cannot be vectorized, are written for optimum scalar speed. For matrices lacking symmetry, ILUCG2 should be used. Similar methods in three dimensions are available in ICCG3 and ILUCG3. A general source containing extensions and macros, which must be processed by a pre-compiler to obtain the standard FORTRAN source, is provided along with the standard FORTRAN source because it is believed to be more readable. The pre-compiler is not included, but pre-compilation may be performed by a text editor as described in the UCRL-88746 Preprint.« less

  14. 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

  15. Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix

    DOE PAGES [OSTI]

    Smallwood, D. O.

    1996-01-01

    It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.

  16. Systems and methods for deactivating a matrix converter

    DOEpatents

    Ransom, Ray M.

    2013-04-02

    Systems and methods are provided for deactivating a matrix conversion module. An electrical system comprises an alternating current (AC) interface, a matrix conversion module coupled to the AC interface, an inductive element coupled between the AC interface and the matrix conversion module, and a control module. The control module is coupled to the matrix conversion module, and in response to a shutdown condition, the control module is configured to operate the matrix conversion module to deactivate the first conversion module when a magnitude of a current through the inductive element is less than a threshold value.

  17. Polymer matrix composites research: A survey of federally sponsored programs

    SciTech Connect

    Not Available

    1990-06-01

    This report identifies research conducted by agencies of the federal government other than the Department of Energy (DOE) in the area of advanced polymer matrix composites (PMCs). DOE commissioned the report to avoid duplicating other agencies' efforts in planning its own research program for PMCs. PMC materials consist of high-strength, short or continuous fibers fused together by an organic matrix. Compared to traditional structural metals, PMCs provide greater strength and stiffness, reduced weight and increased heat resistance. The key contributors to PMC research identified by the survey are the Department of Defense (DOD), the National Aeronautics and Space Administration (NASA), the National Science Foundation (NSF), and the Department of Transportation (DOT). The survey identified a total of 778 projects. More than half of the total projects identified emphasize materials research with a goal toward developing materials with improved performance. Although an almost equal number of identified materials projects focus on thermosets and thermoplastics receive more attention because of their increased impact resistance and their easy formability and re-formability. Slightly more than one third of projects identified target structures research. Only 15 percent of the projects identified focus on manufacturing techniques, despite the need for efficient, economical methods manufacturing products constructed of PMCs--techniques required for PMCs to gain widespread acceptance. Three issues to be addressed concerning PMCs research are economy of use, improvements in processing, and education and training. Five target technologies have been identified that could benefit greatly from increased use of PMCs: aircraft fuselages, automobile frames, high-speed machinery, electronic packaging, and construction.

  18. Unitarity and the Holographic S-Matrix

    SciTech Connect

    Fitzpatrick, A.Liam; Kaplan, Jared; /SLAC

    2012-08-28

    The bulk S-Matrix can be given a non-perturbative definition in terms of the flat space limit of AdS/CFT. We show that the unitarity of the S-Matrix, ie the optical theorem, can be derived by studying the behavior of the OPE and the conformal block decomposition in the flat space limit. When applied to perturbation theory in AdS, this gives a holographic derivation of the cutting rules for Feynman diagrams. To demonstrate these facts we introduce some new techniques for the analysis of conformal field theories. Chief among these is a method for conglomerating local primary operators O{sub 1} and O{sub 2} to extract the contribution of an individual primary O{sub {Delta},{ell}} in their OPE. This provides a method for isolating the contribution of specific conformal blocks which we use to prove an important relation between certain conformal block coefficients and anomalous dimensions. These techniques make essential use of the simplifications that occur when CFT correlators are expressed in terms of a Mellin amplitude.

  19. Measuring Sparticles with the Matrix Element

    SciTech Connect

    Alwall, Johan; /SLAC /Taiwan, Natl. Taiwan U.; Freitas, Ayres; /Pittsburgh U.; Mattelaer, Olivier; /INFN, Rome3 /Rome III U. /Louvain U.

    2012-04-10

    We apply the Matrix Element Method (MEM) to mass determination of squark pair production with direct decay to quarks and LSP at the LHC, showing that simultaneous mass determination of squarks and LSP is possible. We furthermore propose methods for inclusion of QCD radiation effects in the MEM. The goal of the LHC at CERN, scheduled to start this year, is to discover new physics through deviations from the Standard Model (SM) predictions. After discovery of deviations from the SM, the next step will be classification of the new physics. An important first goal in this process will be establishing a mass spectrum of the new particles. One of the most challenging scenarios is pair-production of new particles which decay to invisible massive particles, giving missing energy signals. Many methods have been proposed for mass determination in such scenarios (for a recent list of references, see e.g. [1]). In this proceeding, we report the first steps in applying the Matrix Element Method (MEM) in the context of supersymmetric scenarios giving missing energy signals. After a quick review of the MEM, we will focus on squark pair production, a process where other mass determination techniques have difficulties to simultaneously determine the LSP and squark masses. Finally, we will introduce methods to extend the range of validity of the MEM, by taking into account initial state radiation (ISR) in the method.

  20. Electrometallurgical treatment of aluminum-matrix fuels

    SciTech Connect

    Willit, J.L.; Gay, E.C.; Miller, W.E.; McPheeters, C.C.; Laidler, J.J.

    1996-08-01

    The electrometallurgical treatment process described in this paper builds on our experience in treating spent fuel from the Experimental Breeder Reactor (EBR-II). The work is also to some degree, a spin-off from applying electrometallurgical treatment to spent fuel from the Hanford single pass reactors (SPRs) and fuel and flush salt from the Molten Salt Reactor Experiment (MSRE) in treating EBR-II fuel, we recover the actinides from a uranium-zirconium fuel by electrorefining the uranium out of the chopped fuel. With SPR fuel, uranium is electrorefined out of the aluminum cladding. Both of these processes are conducted in a LiCl-KCl molten-salt electrolyte. In the case of the MSRE, which used a fluoride salt-based fuel, uranium in this salt is recovered through a series of electrochemical reductions. Recovering high-purity uranium from an aluminum-matrix fuel is more challenging than treating SPR or EBR-II fuel because the aluminum- matrix fuel is typically -90% (volume basis) aluminum.

  1. 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...

  2. 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...

  3. High temperature insulation for ceramic matrix composites

    DOEpatents

    Merrill, Gary B.; Morrison, Jay Alan

    2000-01-01

    A ceramic composition is provided to insulate ceramic matrix composites under high temperature, high heat flux environments. The composite comprises a plurality of hollow oxide-based spheres of varios dimentions, a phosphate binder, and at least one oxide filler powder, whereby the phosphate binder partially fills gaps between the spheres and the filler powders. The spheres are situated in the phosphate binder and the filler powders such that each sphere is in contact with at least one other sphere. The spheres may be any combination of Mullite spheres, Alumina spheres, or stabilized Zirconia spheres. The filler powder may be any combination of Alumina, Mullite, Ceria, or Hafnia. Preferably, the phosphate binder is Aluminum Ortho-Phosphate. A method of manufacturing the ceramic insulating composition and its application to CMC substates are also provided.

  4. High temperature insulation for ceramic matrix composites

    DOEpatents

    Merrill, Gary B.; Morrison, Jay Alan

    2001-01-01

    A ceramic composition is provided to insulate ceramic matrix composites under high temperature, high heat flux environments. The composition comprises a plurality of hollow oxide-based spheres of various dimensions, a phosphate binder, and at least one oxide filler powder, whereby the phosphate binder partially fills gaps between the spheres and the filler powders. The spheres are situated in the phosphate binder and the filler powders such that each sphere is in contact with at least one other sphere. The spheres may be any combination of Mullite spheres, Alumina spheres, or stabilized Zirconia spheres. The filler powder may be any combination of Alumina, Mullite, Ceria, or Hafnia. Preferably, the phosphate binder is Aluminum Ortho-Phosphate. A method of manufacturing the ceramic insulating composition and its application to CMC substrates are also provided.

  5. Localization of peroxisomal matrix proteins by photobleaching

    SciTech Connect

    Buch, Charlotta; Hunt, Mary C.; Alexson, Stefan E.H.; Hallberg, Einar

    2009-10-16

    The distribution of some enzymes between peroxisomes and cytosol, or a dual localization in both these compartments, can be difficult to reconcile. We have used photobleaching in live cells expressing green fluorescent protein (GFP)-fusion proteins to show that imported bona fide peroxisomal matrix proteins are retained in the peroxisome. The high mobility of the GFP-fusion proteins in the cytosol and absence of peroxisomal escape makes it possible to eliminate the cytosolic fluorescence by photobleaching, to distinguish between exclusively cytosolic proteins and proteins that are also present at low levels in peroxisomes. Using this technique we found that GFP tagged bile acid-CoA:amino acid N-acyltransferase (BAAT) was exclusively localized in the cytosol in HeLa cells. We conclude that the cytosolic localization was due to its carboxyterminal non-consensus peroxisomal targeting signal (-SQL) since mutation of the -SQL to -SKL resulted in BAAT being efficiently imported into peroxisomes.

  6. Solid oxide fuel cell matrix and modules

    DOEpatents

    Riley, B.

    1988-04-22

    Porous refractory ceramic blocks arranged in an abutting, stacked configuration and forming a three dimensional array provide a support structure and coupling means for a plurality of solid oxide fuel cells (SOFCs). The stack of ceramic blocks is self-supporting, with a plurality of such stacked arrays forming a matrix enclosed in an insulating refractory brick structure having an outer steel layer. The necessary connections for air, fuel, burnt gas, and anode and cathode connections are provided through the brick and steel outer shell. The ceramic blocks are so designed with respect to the strings of modules that by simple and logical design the strings could be replaced by hot reloading if one should fail. The hot reloading concept has not been included in any previous designs. 11 figs.

  7. High temperature insulation for ceramic matrix composites

    DOEpatents

    Merrill, Gary B.; Morrison, Jay Alan

    2004-01-13

    A ceramic composition is provided to insulate ceramic matrix composites under high temperature, high heat flux environments. The composition comprises a plurality of hollow oxide-based spheres of various dimensions, a phosphate binder, and at least one oxide filler powder, whereby the phosphate binder partially fills gaps between the spheres and the filler powders. The spheres are situated in the phosphate binder and the filler powders such that each sphere is in contact with at least one other sphere. The spheres may be any combination of Mullite spheres, Alumina spheres, or stabilized Zirconia spheres. The filler powder may be any combination of Alumina, Mullite, Ceria, or Hafnia. Preferably, the phosphate binder is Aluminum Ortho-Phosphate. A method of manufacturing the ceramic insulating composition and its application to CMC substrates are also provided.

  8. Matrix Characterization in Threat Material Detection Processes

    SciTech Connect

    Obhodas, J.; Sudac, D.; Valkovic, V.

    2009-03-10

    Matrix characterization in the threat material detection is of utmost importance, it generates the background against which the threat material signal has to be identified. Threat materials (explosive, chemical warfare, ...) are usually contained within small volume inside large volumes of variable matrices. We have studied the influence of matrix materials on the capability of neutron systems to identify hidden threat material. Three specific scenarios are considered in some details: case 1--contraband material in the sea containers, case 2 - explosives in soil (landmines), case 3 - explosives and chemical warfare on the sea bottom. Effects of container cargo material on tagged neutron system are seen in the increase of gamma background and the decrease of neutron beam intensity. Detection of landmines is more complex because of variable soil properties. We have studied in detail space and time variations of soil elemental compositions and in particular hydrogen content (humidity). Of special interest are ammunitions and chemical warfare on the sea bottom, damping sites and leftovers from previous conflicts (WW-I, WW-II and local). In this case sea sediment is background source and its role is similar to the role of the soil in the landmine detection. In addition to geochemical cycling of chemical elements in semi-enclosed sea, like the Adriatic Sea, one has to consider also anthropogenic influence, especially when studying small scale variations in concentration levels. Some preliminary experimental results obtained with tagged neutron sensor inside an underwater vehicle are presented as well as data on sediment characterization by X-Ray Fluorescence.

  9. Fission matrix capability for MCNP, Part II - Applications

    SciTech Connect

    Carney, S. E.; Brown, F. B.; Kiedrowski, B. C.; Martin, W. R.

    2013-07-01

    This paper describes the initial experience and results from implementing a fission matrix capability into the MCNP Monte Carlo code. The fission matrix is obtained at essentially no cost during the normal simulation for criticality calculations. It can be used to provide estimates of the fundamental mode power distribution, the reactor dominance ratio, the eigenvalue spectrum, and higher mode spatial eigenfunctions. It can also be used to accelerate the convergence of the power method iterations. Past difficulties and limitations of the fission matrix approach are overcome with a new sparse representation of the matrix, permitting much larger and more accurate fission matrix representations. Numerous examples are presented. A companion paper (Part I - Theory) describes the theoretical basis for the fission matrix method. (authors)

  10. Application of nuclear density functionals to lepton number violating weak processes

    SciTech Connect

    Rodriguez, Tomas R.; Martinez-Pinedo, Gabriel

    2012-10-20

    We present an application of energy density functional methods with the Gogny interaction to the calculation of nuclear matrix elements (NME) for neutrinoless double beta decay and double electron capture. Beyond mean field effects have been included by particle number and angular momentum restoration and shape mixing within the generator coordinate method (GCM) framework. We analyze in detail the NME for {sup 116}Cd nucleus which is one of the most promising candidates to detect neutrinoless double beta decay.

  11. An advanced algorithm for construction of Integral Transport Matrix Method operators using accumulation of single cell coupling factors

    SciTech Connect

    Powell, B. P.; Azmy, Y. Y.

    2013-07-01

    The Integral Transport Matrix Method (ITMM) has been shown to be an effective method for solving the neutron transport equation in large domains on massively parallel architectures. In the limit of very large number of processors, the speed of the algorithm, and its suitability for unstructured meshes, i.e. other than an ordered Cartesian grid, is limited by the construction of four matrix operators required for obtaining the solution in each sub-domain. The existing algorithm used for construction of these matrix operators, termed the differential mesh sweep, is computationally expensive and was developed for a structured grid. This work proposes the use of a new algorithm for construction of these operators based on the construction of a single, fundamental matrix representing the transport of a particle along every possible path throughout the sub-domain mesh. Each of the operators is constructed by multiplying an element of this fundamental matrix by two factors dependent only upon the operator being constructed and on properties of the emitting and incident cells. The ITMM matrix operator construction time for the new algorithm is demonstrated to be shorter than the existing algorithm in all tested cases with both isotropic and anisotropic scattering considered. While also being a more efficient algorithm on a structured Cartesian grid, the new algorithm is promising in its geometric robustness and potential for being applied to an unstructured mesh, with the ultimate goal of application to an unstructured tetrahedral mesh on a massively parallel architecture. (authors)

  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. Introducing the Target-Matrix Paradigm for Mesh Optimization...

    Office of Scientific and Technical Information (OSTI)

    Title: Introducing the Target-Matrix Paradigm for Mesh Optimization via Node-movement. Abstract not provided. Authors: Knupp, Patrick Michael Publication Date: 2010-10-01 OSTI ...

  14. Gas generation matrix depletion quality assurance project plan

    SciTech Connect

    NONE

    1998-05-01

    The Los Alamos National Laboratory (LANL) is to provide the necessary expertise, experience, equipment and instrumentation, and management structure to: Conduct the matrix depletion experiments using simulated waste for quantifying matrix depletion effects; and Conduct experiments on 60 cylinders containing simulated TRU waste to determine the effects of matrix depletion on gas generation for transportation. All work for the Gas Generation Matrix Depletion (GGMD) experiment is performed according to the quality objectives established in the test plan and under this Quality Assurance Project Plan (QAPjP).

  15. Matrix multiplication operations with data pre-conditioning in...

    Office of Scientific and Technical Information (OSTI)

    with data pre-conditioning in a high performance computing architecture Citation Details In-Document Search Title: Matrix multiplication operations with data ...

  16. RE-Powering America’s Land Initiative Tracking Matrix

    Energy.gov [DOE]

    Using publically available information, the Environmental Protection Agency’s RE-Powering America’s Land Initiative project tracking matrix maintains a list of completed renewable energy...

  17. Scale-Dependent Fracture-Matrix Interactions and Their Impact...

    Office of Scientific and Technical Information (OSTI)

    Due to computational limitations and difficulties in characterizing complex subsurface systems, diffusive exchange between a fracture network and surrounding rock matrix is often ...

  18. CP Violation and the Determination of the CKM Matrix (Conference...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: CP Violation and the Determination of the CKM Matrix Authors: Porter, Frank ; Caltech Publication Date: 2013-06-04 OSTI Identifier: ...

  19. Matrix multiplication operations with data pre-conditioning in...

    Office of Scientific and Technical Information (OSTI)

    Matrix multiplication operations with data pre-conditioning in a high performance computing architecture Eichenberger, Alexandre E; Gschwind, Michael K; Gunnels, John A Mechanisms...

  20. Random-matrix approach to the statistical compound nuclear reaction...

    Office of Scientific and Technical Information (OSTI)

    Resource Type: Conference Resource Relation: Conference: Random Matrix Theory, Integrable Systems, and Topology in Physics ; 2015-11-02 - 2015-11-02 ; Stony Brook, New York, United ...

  1. Complex matrix multiplication operations with data pre-conditioning...

    Office of Scientific and Technical Information (OSTI)

    operand of the complex matrix multiplication operation to a first target vector register. ... and replicate the second complex vector value within a second target vector register. ...

  2. Matrix multiplication operations with data pre-conditioning in...

    Office of Scientific and Technical Information (OSTI)

    vector operand of the matrix multiplication operation to a first target vector register. ... the element to each of a plurality of elements of a second target vector register. ...

  3. M-flation: inflation from matrix valued scalar fields

    SciTech Connect

    Ashoorioon, Amjad; Firouzjahi, Hassan; Sheikh-Jabbari, M.M. E-mail: firouz@physics.mcgill.ca

    2009-06-01

    We propose an inflationary scenario, M-flation, in which inflation is driven by three N N hermitian matrices ?{sub i}, i = 1, 2, 3. The inflation potential of our model, which is strongly motivated from string theory, is constructed from ?{sub i} and their commutators. We show that one can consistently restrict the classical dynamics to a sector in which the ?{sub i} are proportional to the N N irreducible representations of SU(2). In this sector our model effectively behaves as an N-flation model with 3N{sup 2} number of fields and the effective inflaton field has a super-Planckian field value. Furthermore, the fine-tunings associated with unnaturally small couplings in the chaotic type inflationary scenarios are removed. Due to the matrix nature of the inflaton fields there are 3N{sup 2}?1 extra scalar fields in the dynamics. These have the observational effects such as production of iso-curvature perturbations on cosmic microwave background. Moreover, the existence of these extra scalars provides us with a natural preheating mechanism and exit from inflation. As the effective inflaton field can traverse super-Planckian distances in the field space, the model is capable of producing a considerable amount of gravity waves that can be probed by future CMB polarization experiments such as PLANCK, QUIET and CMBPOL.

  4. Improved parallel solution techniques for the integral transport matrix method

    SciTech Connect

    Zerr, Robert J; Azmy, Yousry Y

    2010-11-23

    Alternative solution strategies to the parallel block Jacobi (PBJ) method for the solution of the global problem with the integral transport matrix method operators have been designed and tested. The most straightforward improvement to the Jacobi iterative method is the Gauss-Seidel alternative. The parallel red-black Gauss-Seidel (PGS) algorithm can improve on the number of iterations and reduce work per iteration by applying an alternating red-black color-set to the subdomains and assigning multiple sub-domains per processor. A parallel GMRES(m) method was implemented as an alternative to stationary iterations. Computational results show that the PGS method can improve on the PBJ method execution by up to {approx}50% when eight sub-domains per processor are used. However, compared to traditional source iterations with diffusion synthetic acceleration, it is still approximately an order of magnitude slower. The best-performing case are opticaUy thick because sub-domains decouple, yielding faster convergence. Further tests revealed that 64 sub-domains per processor was the best performing level of sub-domain division. An acceleration technique that improves the convergence rate would greatly improve the ITMM. The GMRES(m) method with a diagonal block preconditioner consumes approximately the same time as the PBJ solver but could be improved by an as yet undeveloped, more efficient preconditioner.

  5. 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.

  6. 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 ...

  7. 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 ...

  8. 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

  9. 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 ...

  10. 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.

  11. 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, ...

  12. Hanford 222-S Laboratory Analysis and Testing Services Contract Number DE-EM0003722

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

    Contract Number DE-EM0003722 Modification 001 J-1 PART III - LIST OF DOCUMENTS, EXHIBITS, AND OTHER ATTACHMENTS SECTION J - LIST OF ATTACHMENTS Attachment Description Page Number J.1 LIST OF APPLICABLE DOE DIRECTIVES J-2 J.2 LIST OF DELIVERABLES J-5 J.3 HANFORD SITE SERVICES AND INTERFACE REQUIREMENTS MATRIX J-11 J.4 APPLICATIONS, PERMITS, AND NOTICES OF CONSTRUCTION J-120 J.5 DEPARTMENT OF LABOR WAGE DETERMINATIONS  J-5.1 Wage Determination No.: 2005-2570 Rev No.15 Dated 06/19/2013  J-5.2

  13. Photoconductivity of structures based on the SnO{sub 2} porous matrix coupled with core-shell CdSe/CdS quantum dots

    SciTech Connect

    Drozdov, K. A.; Kochnev, V. I.; Dobrovolsky, A. A.; Khokhlov, D. R.; Popelo, A. V.; Rumyantseva, M. N.; Gaskov, A. M.; Ryabova, L. I.; Vasiliev, R. B.

    2013-09-23

    Embedding of quantum dots into porous oxide matrixes is a perspective technique for photosensitization of a structure. We show that the sensitization efficiency may be increased by the use of core-shell quantum dots. It is demonstrated that the photoresponse amplitude in a SnO{sub 2} porous matrix with CdSe/CdS quantum dots depends non-monotonously on the number of atomic layers in a shell. The best results are obtained for SnO{sub 2} matrixes coupled with the quantum dots with three atomic layers of a shell. Mechanisms responsible for the structure sensitization are discussed.

  14. Digraph matrix analysis applications to systems interactions

    SciTech Connect

    Alesso, H.P.; Altenbach, T.; Lappa, D.; Kimura, C.; Sacks, I.J.; Ashmore, B.C.; Fromme, D.; Smith, C.F.; Williams, W.

    1984-01-01

    Complex events such as Three Mile Island-2, Brown's Ferry-3 and Crystal River-3 have demonstrated that previously unidentified system interdependencies can be important to safety. A major aspect of these events was dependent faults (common cause/mode failures). The term systems interactions has been introduced by the Nuclear Regulatory Commission (NRC) to identify the concepts of spatial and functional coupling of systems which can lead to system interdependencies. Spatial coupling refers to dependencies resulting from a shared environmental condition; functional coupling refers to both dependencies resulting from components shared between safety and/or support systems, and to dependencies involving human actions. The NRC is currently developing guidelines to search for and evaluate adverse systems interactions at light water reactors. One approach utilizes graph theoretical methods and is called digraph matrix analysis (DMA). This methodology has been specifically tuned to the systems interaction problem. The objective of this paper is to present results from two DMA applications and to contrast them with the results from more traditional fault tree approaches.

  15. Solid oxide fuel cell matrix and modules

    DOEpatents

    Riley, Brian (Willimantic, CT)

    1990-01-01

    Porous refractory ceramic blocks arranged in an abutting, stacked configuration and forming a three dimensional array provide a support structure and coupling means for a plurality of solid oxide fuel cells (SOFCs). Each of the blocks includes a square center channel which forms a vertical shaft when the blocks are arranged in a stacked array. Positioned within the channel is a SOFC unit cell such that a plurality of such SOFC units disposed within a vertical shaft form a string of SOFC units coupled in series. A first pair of facing inner walls of each of the blocks each include an interconnecting channel hole cut horizontally and vertically into the block walls to form gas exit channels. A second pair of facing lateral walls of each block further include a pair of inner half circular grooves which form sleeves to accommodate anode fuel and cathode air tubes. The stack of ceramic blocks is self-supporting, with a plurality of such stacked arrays forming a matrix enclosed in an insulating refractory brick structure having an outer steel layer. The necessary connections for air, fuel, burnt gas, and anode and cathode connections are provided through the brick and steel outer shell. The ceramic blocks are so designed with respect to the strings of modules that by simple and logical design the strings could be replaced by hot reloading if one should fail. The hot reloading concept has not been included in any previous designs.

  16. 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.

  17. Method of making molten carbonate fuel cell ceramic matrix tape

    DOEpatents

    Maricle, Donald L.; Putnam, Gary C.; Stewart, Jr., Robert C.

    1984-10-23

    A method of making a thin, flexible, pliable matrix material for a molten carbonate fuel cell is described. The method comprises admixing particles inert in the molten carbonate environment with an organic polymer binder and ceramic particle. The composition is applied to a mold surface and dried, and the formed compliant matrix material removed.

  18. Summary of Granulation Matrix Testing for the Plutonium Immobilization Program

    SciTech Connect

    Herman, C.C.

    2001-10-19

    In FY00, a matrix for process development testing was created to identify those items related to the ceramic process that had not been fully developed or tested and to help identify variables that needed to be tested. This matrix, NMTP/IP-99-003, was jointly created between LLNL and SRTC and was issued to all affected individuals. The matrix was also used to gauge the progress of the development activities. As part of this matrix, several series of tests were identified for the granulation process. This summary provides the data and results from the granulation testing. The results of the granulation matrix testing were used to identify the baseline process for testing in the PuCTF with cold surrogates in B241 at LLNL.

  19. An Innovative Carbonate Fuel Cell Matrix, Abstract #188

    SciTech Connect

    Hilmi, Abdelkader; Surendranath, Arun; Yuh, Chao-Yi

    2015-05-28

    The electrolyte matrix in direct carbonate fuel cell (DFC) is a microporous ceramic structure sandwiched between the electrodes to isolate the fuel from the oxidant, store electrolyte and facilitate ionic transport. FCE has advanced DFC electrolyte matrix over the years and demonstrated that the matrix meets the requirements for greater than 5 year life based on accelerated tests and field stack operations. However, development of advanced designs and materials that can further increase the performance and extend cell life will enable accelerated MCFC deployment. This paper will report the progress on the development of an unique and innovative matrix design that offers numerous benefits to the carbonate fuel cell performance and durability. In addition, this paper will also review parameters that affect matrix material stability and approaches to extend cell life.

  20. Presentation to: Client

    Energy Information Administration (EIA) (indexed site)

    ... Kathleen Hogan, "Energy Efficiency's Role in Greenhouse Gas Policies," presentation to National Association of Regulatory Utility Commissioners, EPA, February 19, 2008. States with ...

  1. 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:...

  2. 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

  3. Nanoscale Reinforced, Polymer Derived Ceramic Matrix Coatings

    SciTech Connect

    Rajendra Bordia

    2009-07-31

    The goal of this project was to explore and develop a novel class of nanoscale reinforced ceramic coatings for high temperature (600-1000 C) corrosion protection of metallic components in a coal-fired environment. It was focused on developing coatings that are easy to process and low cost. The approach was to use high-yield preceramic polymers loaded with nano-size fillers. The complex interplay of the particles in the polymer, their role in controlling shrinkage and phase evolution during thermal treatment, resulting densification and microstructural evolution, mechanical properties and effectiveness as corrosion protection coatings were investigated. Fe-and Ni-based alloys currently used in coal-fired environments do not possess the requisite corrosion and oxidation resistance for next generation of advanced power systems. One example of this is the power plants that use ultra supercritical steam as the working fluid. The increase in thermal efficiency of the plant and decrease in pollutant emissions are only possible by changing the properties of steam from supercritical to ultra supercritical. However, the conditions, 650 C and 34.5 MPa, are too severe and result in higher rate of corrosion due to higher metal temperatures. Coating the metallic components with ceramics that are resistant to corrosion, oxidation and erosion, is an economical and immediate solution to this problem. Good high temperature corrosion protection ceramic coatings for metallic structures must have a set of properties that are difficult to achieve using established processing techniques. The required properties include ease of coating complex shapes, low processing temperatures, thermal expansion match with metallic structures and good mechanical and chemical properties. Nanoscale reinforced composite coatings in which the matrix is derived from preceramic polymers have the potential to meet these requirements. The research was focused on developing suitable material systems and

  4. Pacific Northwest Laboratory`s Lighting Technology Screening Matrix

    SciTech Connect

    Harris, L.R.; Stucky, D.J.; Dirks, J.A.; Schultz, R.W.; Shankle, S.A.; Richman, E.E.; Purcell, C.W.

    1994-04-01

    Pacific Northwest Laboratory has developed the Lighting Technology Screening Matrix (LTSM), a software tool to evaluate alternative lighting retrofit technologies according to life-cycle cost. The LTSM can be used to evaluate retrofits for most configurations of fluorescent, incandescent, high- and low-pressure sodium, metal halide, mercury vapor, and exit lighting systems for any level of operation, electricity price, discount rate, and utility rebate. This tool was developed, in support of the Federal Relighting Initiative as part of the Department of Energy`s Office of Federal Energy Management Program (DOE/FEMP) to assist federal government facilities in their efforts to comply with the 10 CFR 436 mandated life-cycle costing for energy equipment investments. The LTSM has been used in the course of seven site modernization projects. These projects consisted of determining the cost-effective, energy-efficiency potential at military installations. Each project treated the entire military installation as an integrated system, proposed a large number of potential efficiency projects affecting all end-uses and fuel types, and analyzed the cost-effectiveness of each project. The LTSM was used for the lighting portion of these projects. Lighting was, overall, one of the major areas of potential efficiency improvements, accounting for over 30% of the cost-effective resource. Altogether over $43 million worth of cost-effective efficiency investments were identified, worth an estimated $6 million annually in energy, demand, and operations and maintenance (O&M) savings. This paper describes the LTSM and demonstrates its application in a case study at one of the federal installations analyzed.

  5. Low-temperature random matrix theory at the soft edge

    SciTech Connect

    Edelman, Alan; Persson, Per-Olof; Sutton, Brian D.

    2014-06-15

    Low temperature random matrix theory is the study of random eigenvalues as energy is removed. In standard notation, ? is identified with inverse temperature, and low temperatures are achieved through the limit ? ? ?. In this paper, we derive statistics for low-temperature random matrices at the soft edge, which describes the extreme eigenvalues for many random matrix distributions. Specifically, new asymptotics are found for the expected value and standard deviation of the general-? Tracy-Widom distribution. The new techniques utilize beta ensembles, stochastic differential operators, and Riccati diffusions. The asymptotics fit known high-temperature statistics curiously well and contribute to the larger program of general-? random matrix theory.

  6. Supersymmetry of Green-Schwarz superstring and matrix string theory

    SciTech Connect

    Hyun, Seungjoon; Shin, Hyeonjoon

    2001-08-15

    We study the dynamics of a Green-Schwarz superstring on the gravitational wave background corresponding to the matrix string theory and the supersymmetry transformation rules of the superstring. The dynamics is obtained in the light-cone formulation and is shown to agree with that derived from matrix string theory. The supersymmetry structure has corrections due to the effect of the background and is identified with that of the low-energy one-loop effective action of matrix string theory in a two superstring background in the weak string coupling limit.

  7. Communication: Active space decomposition with multiple sites: Density matrix renormalization group algorithm

    SciTech Connect

    Parker, Shane M.; Shiozaki, Toru

    2014-12-07

    We extend the active space decomposition method, recently developed by us, to more than two active sites using the density matrix renormalization group algorithm. The fragment wave functions are described by complete or restricted active-space wave functions. Numerical results are shown on a benzene pentamer and a perylene diimide trimer. It is found that the truncation errors in our method decrease almost exponentially with respect to the number of renormalization states M, allowing for numerically exact calculations (to a few μE{sub h} or less) with M = 128 in both cases. This rapid convergence is because the renormalization steps are used only for the interfragment electron correlation.

  8. Combinatorial theory of the semiclassical evaluation of transport moments. I. Equivalence with the random matrix approach

    SciTech Connect

    Berkolaiko, G.; Kuipers, J.

    2013-11-15

    To study electronic transport through chaotic quantum dots, there are two main theoretical approaches. One involves substituting the quantum system with a random scattering matrix and performing appropriate ensemble averaging. The other treats the transport in the semiclassical approximation and studies correlations among sets of classical trajectories. There are established evaluation procedures within the semiclassical evaluation that, for several linear and nonlinear transport moments to which they were applied, have always resulted in the agreement with random matrix predictions. We prove that this agreement is universal: any semiclassical evaluation within the accepted procedures is equivalent to the evaluation within random matrix theory. The equivalence is shown by developing a combinatorial interpretation of the trajectory sets as ribbon graphs (maps) with certain properties and exhibiting systematic cancellations among their contributions. Remaining trajectory sets can be identified with primitive (palindromic) factorisations whose number gives the coefficients in the corresponding expansion of the moments of random matrices. The equivalence is proved for systems with and without time reversal symmetry.

  9. 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

  10. 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.

  11. 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.

  12. Transparent Metal-Organic Framework/Polymer Mixed Matrix Membranes...

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

    Transparent Metal-Organic FrameworkPolymer Mixed Matrix Membranes as Water Vapor Barriers Previous Next List Bae, Youn Jue; Cho, Eun Seon; Qu, Fen; Sun, Daniel T.; Williams, ...

  13. An efficient parallel algorithm for matrix-vector multiplication

    SciTech Connect

    Hendrickson, B.; Leland, R.; Plimpton, S.

    1993-03-01

    The multiplication of a vector by a matrix is the kernel computation of many algorithms in scientific computation. A fast parallel algorithm for this calculation is therefore necessary if one is to make full use of the new generation of parallel supercomputers. This paper presents a high performance, parallel matrix-vector multiplication algorithm that is particularly well suited to hypercube multiprocessors. For an n x n matrix on p processors, the communication cost of this algorithm is O(n/[radical]p + log(p)), independent of the matrix sparsity pattern. The performance of the algorithm is demonstrated by employing it as the kernel in the well-known NAS conjugate gradient benchmark, where a run time of 6.09 seconds was observed. This is the best published performance on this benchmark achieved to date using a massively parallel supercomputer.

  14. Effect of significant processing variables on thermoplastic matrix pultruded composites

    SciTech Connect

    Madenjian, A.R.; Tessier, N.J.; Schott, N.R.; Arnold, E.

    1985-04-01

    Thermoplastic matrix pultruded composites offer attractive cost savings in production. Processing techniques which lead to high speed production are discussed. The major advantages and limitations of thermoplastic materials are also presented.

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. Higher order matrix differential equations with singular coefficient matrices

    SciTech Connect

    Fragkoulis, V. C.; Kougioumtzoglou, I. A.; Pantelous, A. A.; Pirrotta, A.

    2015-03-10

    In this article, the class of higher order linear matrix differential equations with constant coefficient matrices and stochastic process terms is studied. The coefficient of the highest order is considered to be singular; thus, rendering the response determination of such systems in a straightforward manner a difficult task. In this regard, the notion of the generalized inverse of a singular matrix is used for determining response statistics. Further, an application relevant to engineering dynamics problems is included.

  2. Steel-SiC Metal Matrix Composite Development

    SciTech Connect

    Smith, Don D.

    2005-07-17

    The goal of this project is to develop a method for fabricating SiC-reinforced high-strength steel. We are developing a metal-matrix composite (MMC) in which SiC fibers are be embedded within a metal matrix of steel, with adequate interfacial bonding to deliver the full benefit of the tensile strength of the SiC fibers in the composite.

  3. Novel Transparent Phosphor Conversion Matrix with High Thermal Conductivity

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

    for Next-Generation Phosphor-Converted LED-based Solid State Lighting | Department of Energy Transparent Phosphor Conversion Matrix with High Thermal Conductivity for Next-Generation Phosphor-Converted LED-based Solid State Lighting Novel Transparent Phosphor Conversion Matrix with High Thermal Conductivity for Next-Generation Phosphor-Converted LED-based Solid State Lighting Lead Performer: Carnegie Mellon University - Pittsburgh, PA Partner: Osram Sylvania - Danvers, MA DOE Total Funding:

  4. Distributions of off-diagonal scattering matrix elements: Exact results

    SciTech Connect

    Nock, A. Kumar, S. Sommers, H.-J. Guhr, T.

    2014-03-15

    Scattering is a ubiquitous phenomenon which is observed in a variety of physical systems which span a wide range of length scales. The scattering matrix is the key quantity which provides a complete description of the scattering process. The universal features of scattering in chaotic systems is most generally modeled by the Heidelberg approach which introduces stochasticity to the scattering matrix at the level of the Hamiltonian describing the scattering center. The statistics of the scattering matrix is obtained by averaging over the ensemble of random Hamiltonians of appropriate symmetry. We derive exact results for the distributions of the real and imaginary parts of the off-diagonal scattering matrix elements applicable to orthogonally-invariant and unitarily-invariant Hamiltonians, thereby solving a long standing problem. -- Highlights: Scattering problem in complex or chaotic systems. Heidelberg approach to model the chaotic nature of the scattering center. A novel route to the nonlinear sigma model based on the characteristic function. Exact results for the distributions of off-diagonal scattering-matrix elements. Universal aspects of the scattering-matrix fluctuations.

  5. 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.

  6. 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...

  7. 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 ...

  8. 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...

  9. 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...

  10. 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...

  11. 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.

  12. 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 ...

  13. 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...

  14. 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...

  15. 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 ...

  16. 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 ...

  17. 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

  18. Nondestructive Waste Assay Using Gamma-Ray Active & Passive Computed Tomography. Mixed Waste Focus Area. OST Reference Number 2123

    SciTech Connect

    None, None

    1999-09-01

    This project was supported by the Mixed Waste Focus Area (MWFA) and the Federal Environmental Technology Center (FETC) to develop an improved nondestructive assay (NDA) capability that uses gamma-ray computed tomography and gamma-energy spectral analysis techniques to perform waste assay measurements. It was the intent of the Gamma-Ray Active & Passive Computed Tomography (A&PCT) development and demonstration project to enhance the overall utility of waste assay through the implementation of techniques that can accommodate known measurement complications, e.g., waste matrix and radioactive material distribution heterogeneities. This technology can measure the radionuclide content in all types of waste regardless of their classification as low level (LLW), transuranic (TRU) or mixed (MLLW or MTRU). The nondestructive waste assay capability needed to support Department of Energy (DOE) mixed waste characterization needs is necessarily a function of the waste form configurations in inventory. These waste form configurations exhibit a number of variables impacting assay system response that must be accounted for to ensure valid measurement data. Such variables include: matrix density, matrix elemental composition, matrix density distribution, radioactive material radionuclidic/isotopic composition, radioactive material physical/chemical form, and physical distribution in the waste matrix. Existing nondestructive assay technologies have identified capability limits with respect to these variables. Certain combinations of these variables result in waste configurations within the capability of one or more of the existing systems. Other combinations that are prevalent in the inventory are outside of the capability of such systems.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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.

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Practical and fast quantum random number generation based on photon arrival time relative to external reference

    SciTech Connect

    Nie, You-Qi; Zhang, Jun Pan, Jian-Wei; Zhang, Hong-Fei; Wang, Jian; Zhang, Zhen; Ma, Xiongfeng

    2014-02-03

    We present a practical high-speed quantum random number generator, where the timing of single-photon detection relative to an external time reference is measured as the raw data. The bias of the raw data can be substantially reduced compared with the previous realizations. The raw random bit rate of our generator can reach 109 Mbps. We develop a model for the generator and evaluate the min-entropy of the raw data. Toeplitz matrix hashing is applied for randomness extraction, after which the final random bits are able to pass the standard randomness tests.

  19. Spin orbit coupling for molecular ab initio density matrix renormalization group calculations: Application to g-tensors

    SciTech Connect

    Roemelt, Michael

    2015-07-28

    Spin Orbit Coupling (SOC) is introduced to molecular ab initio density matrix renormalization group (DMRG) calculations. In the presented scheme, one first approximates the electronic ground state and a number of excited states of the Born-Oppenheimer (BO) Hamiltonian with the aid of the DMRG algorithm. Owing to the spin-adaptation of the algorithm, the total spin S is a good quantum number for these states. After the non-relativistic DMRG calculation is finished, all magnetic sublevels of the calculated states are constructed explicitly, and the SOC operator is expanded in the resulting basis. To this end, spin orbit coupled energies and wavefunctions are obtained as eigenvalues and eigenfunctions of the full Hamiltonian matrix which is composed of the SOC operator matrix and the BO Hamiltonian matrix. This treatment corresponds to a quasi-degenerate perturbation theory approach and can be regarded as the molecular equivalent to atomic Russell-Saunders coupling. For the evaluation of SOC matrix elements, the full Breit-Pauli SOC Hamiltonian is approximated by the widely used spin-orbit mean field operator. This operator allows for an efficient use of the second quantized triplet replacement operators that are readily generated during the non-relativistic DMRG algorithm, together with the Wigner-Eckart theorem. With a set of spin-orbit coupled wavefunctions at hand, the molecular g-tensors are calculated following the scheme proposed by Gerloch and McMeeking. It interprets the effective molecular g-values as the slope of the energy difference between the lowest Kramers pair with respect to the strength of the applied magnetic field. Test calculations on a chemically relevant Mo complex demonstrate the capabilities of the presented method.

  20. Modeling fatigue crack growth in cross ply titanium matrix composites

    SciTech Connect

    Bakuckas, J.G. Jr.; Johnson, W.S.

    1993-05-01

    In this study, the fatigue crack growth behavior of fiber bridging matrix cracks in cross-ply SCS-6/Ti-15-3 and SCS-6/Timetal-21S laminates containing center holes was investigated. Experimental observations revealed that matrix cracking was far more extensive and wide spread in the SCS-6/Ti-15-3 laminates compared to that in the SCS-6/Timetal-21S laminates. In addition, the fatigue life of the SCS-6/Ti-15-3 laminates was significantly longer than that of the SCS-6/Timetal-21S laminates. The matrix cracking observed in both material systems was analyzed using a fiber bridging (FB) model which was formulated using the boundary correction factors and weight functions for center hole specimen configurations. A frictional shear stress is assumed in the FB model and was used as a curve fitting parameter to model matrix crack growth data. The higher frictional shear stresses calculated in the SCS-6/Timetal-21S laminates resulted in lower stress intensity factors in the matrix and higher axial stresses in the fibers compared to those in the SCS-6/Ti-15-3 laminates at the same applied stress levels.

  1. Fission matrix capability for MCNP, Part I - Theory

    SciTech Connect

    Brown, F. B.; Carney, S. E.; Kiedrowski, B. C.; Martin, W. R.

    2013-07-01

    The theory underlying the fission matrix method is derived using a rigorous Green's function approach. The method is then used to investigate fundamental properties of the transport equation for a continuous-energy physics treatment. We provide evidence that an infinite set of discrete, real eigenvalues and eigenfunctions exist for the continuous-energy problem, and that the eigenvalue spectrum converges smoothly as the spatial mesh for the fission matrix is refined. We also derive equations for the adjoint solution. We show that if the mesh is sufficiently refined so that both forward and adjoint solutions are valid, then the adjoint fission matrix is identical to the transpose of the forward matrix. While the energy-dependent transport equation is strictly bi-orthogonal, we provide surprising results that the forward modes are very nearly self-adjoint for a variety of continuous-energy problems. A companion paper (Part II - Applications) describes the initial experience and results from implementing this fission matrix capability into the MCNP Monte Carlo code. (authors)

  2. 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

  3. 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.

  4. 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.

  5. 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

  6. A two-dimensional matrix correction for off-axis portal dose prediction errors

    SciTech Connect

    Bailey, Daniel W.; Kumaraswamy, Lalith; Bakhtiari, Mohammad; Podgorsak, Matthew B.

    2013-05-15

    Purpose: This study presents a follow-up to a modified calibration procedure for portal dosimetry published by Bailey et al. ['An effective correction algorithm for off-axis portal dosimetry errors,' Med. Phys. 36, 4089-4094 (2009)]. A commercial portal dose prediction system exhibits disagreement of up to 15% (calibrated units) between measured and predicted images as off-axis distance increases. The previous modified calibration procedure accounts for these off-axis effects in most regions of the detecting surface, but is limited by the simplistic assumption of radial symmetry. Methods: We find that a two-dimensional (2D) matrix correction, applied to each calibrated image, accounts for off-axis prediction errors in all regions of the detecting surface, including those still problematic after the radial correction is performed. The correction matrix is calculated by quantitative comparison of predicted and measured images that span the entire detecting surface. The correction matrix was verified for dose-linearity, and its effectiveness was verified on a number of test fields. The 2D correction was employed to retrospectively examine 22 off-axis, asymmetric electronic-compensation breast fields, five intensity-modulated brain fields (moderate-high modulation) manipulated for far off-axis delivery, and 29 intensity-modulated clinical fields of varying complexity in the central portion of the detecting surface. Results: Employing the matrix correction to the off-axis test fields and clinical fields, predicted vs measured portal dose agreement improves by up to 15%, producing up to 10% better agreement than the radial correction in some areas of the detecting surface. Gamma evaluation analyses (3 mm, 3% global, 10% dose threshold) of predicted vs measured portal dose images demonstrate pass rate improvement of up to 75% with the matrix correction, producing pass rates that are up to 30% higher than those resulting from the radial correction technique alone. As in

  7. 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...

  8. 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...

  9. 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...

  10. Acceleration of matrix element computations for precision measurements

    DOE PAGES [OSTI]

    Brandt, O.; Gutierrez, G.; Wang, M. H.L.S.; Ye, Z.

    2015-03-01

    The matrix element technique provides a superior statistical sensitivity for precision measurements of important parameters at hadron colliders, such as the mass of the top quark or the cross section for the production of Higgs bosons. The main practical limitation of the technique is its high computational demand. Using the concrete example of the top quark mass, we present two approaches to reduce the computation time of the technique by a factor of 90. First, we utilize low-discrepancy sequences for numerical Monte Carlo integration in conjunction with a dedicated estimator of numerical uncertainty, a novelty in the context of themorematrix element technique. Second, we utilize a new approach that factorizes the overall jet energy scale from the matrix element computation, a novelty in the context of top quark mass measurements. The utilization of low-discrepancy sequences is of particular general interest, as it is universally applicable to Monte Carlo integration, and independent of the computing environment.less

  11. Uncertainties in nuclear transition matrix elements of neutrinoless ?? decay

    SciTech Connect

    Rath, P. K.

    2013-12-30

    To estimate the uncertainties associated with the nuclear transition matrix elements M{sup (K)} (K=0?/0N) for the 0{sup +} ? 0{sup +} transitions of electron and positron emitting modes of the neutrinoless ?? decay, a statistical analysis has been performed by calculating sets of eight (twelve) different nuclear transition matrix elements M{sup (K)} in the PHFB model by employing four different parameterizations of a Hamiltonian with pairing plus multipolar effective two-body interaction and two (three) different parameterizations of Jastrow short range correlations. The averages in conjunction with their standard deviations provide an estimate of the uncertainties associated the nuclear transition matrix elements M{sup (K)} calculated within the PHFB model, the maximum of which turn out to be 13% and 19% owing to the exchange of light and heavy Majorana neutrinos, respectively.

  12. Acceleration of matrix element computations for precision measurements

    SciTech Connect

    Brandt, Oleg; Gutierrez, Gaston; Wang, M. H.L.S.; Ye, Zhenyu

    2014-11-25

    The matrix element technique provides a superior statistical sensitivity for precision measurements of important parameters at hadron colliders, such as the mass of the top quark or the cross-section for the production of Higgs bosons. The main practical limitation of the technique is its high computational demand. Using the example of the top quark mass, we present two approaches to reduce the computation time of the technique by a factor of 90. First, we utilize low-discrepancy sequences for numerical Monte Carlo integration in conjunction with a dedicated estimator of numerical uncertainty, a novelty in the context of the matrix element technique. We then utilize a new approach that factorizes the overall jet energy scale from the matrix element computation, a novelty in the context of top quark mass measurements. The utilization of low-discrepancy sequences is of particular general interest, as it is universally applicable to Monte Carlo integration, and independent of the computing environment.

  13. 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.

  14. Building Number/Name: Date prepared: Responsible Contractor...

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

    22-S February 2, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: LIQUID matrix Period of beryllium operations (dates): (1) ...

  15. Neutron Resonance Parameters and Covariance Matrix of 239Pu

    SciTech Connect

    Derrien, Herve; Leal, Luiz C; Larson, Nancy M

    2008-08-01

    In order to obtain the resonance parameters in a single energy range and the corresponding covariance matrix, a reevaluation of 239Pu was performed with the code SAMMY. The most recent experimental data were analyzed or reanalyzed in the energy range thermal to 2.5 keV. The normalization of the fission cross section data was reconsidered by taking into account the most recent measurements of Weston et al. and Wagemans et al. A full resonance parameter covariance matrix was generated. The method used to obtain realistic uncertainties on the average cross section calculated by SAMMY or other processing codes was examined.

  16. INERT-MATRIX FUEL: ACTINIDE ''BURINGIN'' AND DIRECT DISPOSAL

    SciTech Connect

    Rodney C. Ewing; Lumin Wang

    2002-10-30

    Excess actinides result from the dismantlement of nuclear weapons (Pu) and the reprocessing of commercial spent nuclear fuel (mainly 241 Am, 244 Cm and 237 Np). In Europe, Canada and Japan studies have determined much improved efficiencies for burnup of actinides using inert-matrix fuels. This innovative approach also considers the properties of the inert-matrix fuel as a nuclear waste form for direct disposal after one-cycle of burn-up. Direct disposal can considerably reduce cost, processing requirements, and radiation exposure to workers.

  17. 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

  18. 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

  19. 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:

  20. 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

  1. 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

  2. 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:

  3. 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:

  4. 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:

  5. 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

  6. Method of bonding diamonds in a matrix and articles thus produced

    DOEpatents

    Taylor, G.W.

    1981-01-27

    By fluorinating diamond grit, the grit may be readily bonded into a fluorocarbon resin matrix. The matrix is formed by simple hot pressing techniques. Diamond grinding wheels may advantageously be manufactured using such a matrix. Teflon fluorocarbon resins are particularly well suited for using in forming the matrix.

  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. Evaluation of Concepts for Mulitiple Application Thermal Reactor for Irradiation eXperiments (MATRIX)

    SciTech Connect

    Michael A. Pope; Hans D. Gougar; John M. Ryskamp

    2013-09-01

    The Advanced Test Reactor (ATR) is a high power density test reactor specializing in fuel and materials irradiation. For more than 45 years, the ATR has provided irradiations of materials and fuels testing along with radioisotope production. Originally operated primarily in support of the Offcie of Naval Reactors (NR), the mission has gradually expanded to cater to other customers, such as the DOE Office of Nuclear Energy (NE), private industry, and universities. Unforeseen circumstances may lead to the decommissioning of ATR, thus leaving the U.S. Government without a large-scale materials irradiation capability to meet the needs of its nuclear energy and naval reactor missions. In anticipation of this possibility, work was performed under the Laboratory Directed Research and Development (LDRD) program to investigate test reactor concepts that could satisfy the current missions of the ATR along with an expanded set of secondary missions. This work can be viewed as an update to a project from the 1990’s called the Broad Application Test Reactor (BATR). In FY 2012, a survey of anticipated customer needs was performed, followed by analysis of the original BATR concepts with fuel changed to low-enriched uranium. Departing from these original BATR designs, four concepts were identified for further analysis in FY2013. The project informally adopted the acronym MATRIX (Multiple-Application Thermal Reactor for Irradiation eXperiments). This report discusses analysis of the four MATRIX concepts along with a number of variations on these main concepts. Designs were evaluated based on their satisfaction of anticipated customer requirements and the “Cylindrical” variant was selected for further analysis of options. This downselection should be considered preliminary and the backup alternatives should include the other three main designs. The baseline Cylindrical MATRIX design is expected to be capable of higher burnup than the ATR (or longer cycle length given a

  1. Pre-form ceramic matrix composite cavity and method of forming and method of forming a ceramic matrix composite component

    DOEpatents

    Monaghan, Philip Harold; Delvaux, John McConnell; Taxacher, Glenn Curtis

    2015-06-09

    A pre-form CMC cavity and method of forming pre-form CMC cavity for a ceramic matrix component includes providing a mandrel, applying a base ply to the mandrel, laying-up at least one CMC ply on the base ply, removing the mandrel, and densifying the base ply and the at least one CMC ply. The remaining densified base ply and at least one CMC ply form a ceramic matrix component having a desired geometry and a cavity formed therein. Also provided is a method of forming a CMC component.

  2. Exponential of a matrix, a nonlinear problem, and quantum gates

    SciTech Connect

    Steeb, Willi-Hans; Hardy, Yorick

    2015-01-15

    We describe solutions of the matrix equation exp(z(A − I{sub n})) = A, where z ∈ ℂ. Applications in quantum computing are given. Both normal and non-normal matrices are studied. For normal matrices, the Lambert W-function plays a central role.

  3. Two modulator generalized ellipsometer for complete mueller matrix measurement

    DOEpatents

    Jellison, Jr., Gerald E.; Modine, Frank A.

    1999-01-01

    A two-modulator generalized ellipsometer (2-MGE) comprising two polarizer-photoelastic modulator (PEM) pairs, an optical light source, an optical detection system, and associated data processing and control electronics, where the PEMs are free-running. The input light passes through the first polarizer-PEM pair, reflects off the sample surface or passes through the sample, passes through the second PEM-polarizer pair, and is detected. Each PEM is free running and operates at a different resonant frequency, e.g., 50 and 60 kHz. The resulting time-dependent waveform of the light intensity is a complicated function of time, and depends upon the exact operating frequency and phase of each PEM, the sample, and the azimuthal angles of the polarizer-PEM pairs, but can be resolved into a dc component and eight periodic components. In one embodiment, the waveform is analyzed using a new spectral analysis technique that is similar to Fourier analysis to determine eight sample Mueller matrix elements (normalized to the m.sub.00 Mueller matrix element). The other seven normalized elements of the general 4.times.4 Mueller matrix can be determined by changing the azimuthal angles of the PEM-polarizer pairs with respect to the plane of incidence. Since this instrument can measure all elements of the sample Mueller matrix, it is much more powerful than standard ellipsometers.

  4. Matrix Effects in Biological Mass Spectrometry Imaging: Identification and Compensation

    SciTech Connect

    Lanekoff, Ingela T.; Stevens, Susan; Stenzel-Poore, Mary; Laskin, Julia

    2014-07-21

    Matrix effects in mass spectrometry imaging (MSI) may affect the observed molecular distribution in chemical and biological systems. In this study, we introduce an experimental approach that efficiently compensates for matrix effects in nanospray desorption electrospray ionization (nano-DESI) MSI without introducing any complexity into the experimental protocol. We demonstrate compensation for matrix effects in nano-DESI MSI of phosphatidylcholine (PC) in normal and ischemic mouse brain tissue by doping the nano-DESI solvent with PC standards. Specifically, we use mouse brain tissue of a middle cerebral artery occlusion (MCAO) stroke model with an ischemic region localized to one hemisphere of the brain. Due to similar suppression in ionization of endogenous PC molecules extracted from the tissue and PC standards added to the solvent, matrix effects are eliminated by normalizing the intensity of the sodium and potassium adducts of endogenous PC to the intensity of the corresponding adduct of the PC standard. This approach efficiently compensates for signal variations resulting from differences in the local concentrations of sodium and potassium in tissue sections and from the complexity of the extracted analyte mixture derived from local variations in molecular composition.

  5. Some measurements for determining strangeness matrix elements in the nucleon

    SciTech Connect

    Henley, E.M.; Pollock, S.J.; Ying, S. ); Frederico, T. , Sao Jose dos Campos, SP . Inst. de Estudos Avancados); Krein, . Inst. de Fisica Teorica); Williams, A.G. )

    1991-01-01

    Some experiments to measure strangeness matrix elements of the proton are proposed. Two of these suggestions are described in some detail, namely electro-production of phi mesons and the difference between neutrino and antineutrino scattering for isospin zero targets such as deuterium.

  6. Some measurements for determining strangeness matrix elements in the nucleon

    SciTech Connect

    Henley, E.M.; Pollock, S.J.; Ying, S.; Frederico, T.; Krein,; Williams, A.G.

    1991-12-31

    Some experiments to measure strangeness matrix elements of the proton are proposed. Two of these suggestions are described in some detail, namely electro-production of phi mesons and the difference between neutrino and antineutrino scattering for isospin zero targets such as deuterium.

  7. New Advances in Neutrinoless Double Beta Decay Matrix Elements

    SciTech Connect

    Munoz, Jose Barea [Instituto de Estructura de la Materia, C.S.I.C. Unidad Asociada al Departamento de Fisica Atomica, Molecular y Nuclear, Facultad de Fisica, Universidad de Sevilla, Apartado 1065, 41080 Sevilla (Spain)

    2010-08-04

    We present the matrix elements necessary to evaluate the half-life of some neutrinoless double beta decay candidates in the framework of the microscopic interacting boson model (IBM). We compare our results with those from other models and extract some simple features of the calculations.

  8. Remediation of Occupied Commercial Property Subject to Widespread Radium-226 Contamination - Confidential Client in the South-West of England - 12570

    SciTech Connect

    Sinclair, Philip

    2012-07-01

    AMEC was contacted by a company that managed commercial office space in 2010. High Rn- 222 measurements had been observed throughout the facility and the landlord had been advised to commission a radiological survey of the site. The site had been purchased by the client in the 1990's. Initial desk studies found that the building had operated for around 50 years as a compass factory. Non-intrusive investigation identified widespread Ra-226 contamination. Ra-226 was found in the fabric of the building, in attic spaces, buried under floor boards and underlying car parks. Intrusive investigation was undertaken to estimate volume(s) of waste, waste categories, activity concentrations and the total inventory of radioactive materials on site. This work identified the presence of 180 GBq of Ra-226 on site. A programme of work is currently underway to remediate the site tackling areas posing the greatest risk to site occupants as a priority. We have worked closely with Regulators, our client, and tenants, to decontaminate the fabric of the building whilst areas of the building remain occupied. The radiological risk, from irradiation, ingestion and inhalation (of Ra-226 and Rn- 222) has been assessed before, during and after intervention to minimise the risks to site occupants. Tenants were moved from areas of unacceptable radiological risk to areas unaffected by the presence of radioactive materials. Rn-222 mitigation measures were installed during the remedial operations to minimise the hazard from Rn-222 that was liberated as a result of decontamination activities. Decontamination techniques were required to be sympathetic to the building as the ageing structure was in danger of collapse during several phases of work. The first phase of remediation is now complete and the decontaminated building is being returned for use as office space. The radiological risks have been significantly reduced and, in areas where decontamination was not possible (e.g. due to concerns over

  9. The problem of the universal density functional and the density matrix functional theory

    SciTech Connect

    Bobrov, V. B. Trigger, S. A.

    2013-04-15

    The analysis in this paper shows that the Hohenberg-Kohn theorem is the constellation of two statements: (i) the mathematically rigorous Hohenberg-Kohn lemma, which demonstrates that the same ground-state density cannot correspond to two different potentials of an external field, and (ii) the hypothesis of the existence of the universal density functional. Based on the obtained explicit expression for the nonrel-ativistic particle energy in a local external field, we prove that the energy of the system of more than two non-interacting electrons cannot be a functional of the inhomogeneous density. This result is generalized to the system of interacting electrons. It means that the Hohenberg-Kohn lemma cannot provide justification of the universal density functional for fermions. At the same time, statements of the density functional theory remain valid when considering any number of noninteracting ground-state bosons due to the Bose condensation effect. In the framework of the density matrix functional theory, the hypothesis of the existence of the universal density matrix functional corresponds to the cases of noninteracting particles and to interaction in the Hartree-Fock approximation.

  10. 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

  11. 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

  12. 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

  13. 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 =

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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