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Sample records for ip number study

  1. WP-07 IP Studies & Documentation (wp07/initial)

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

    Initial Proposal Studies and Documentation were provided to rate case parties on CD-ROM at the Prehearing Conference and filed with the hearing clerk via the Rate Case Parties...

  2. IP address management : augmenting Sandia's capabilities through open source tools.

    SciTech Connect (OSTI)

    Nayar, R. Daniel

    2005-08-01

    Internet Protocol (IP) address management is an increasingly growing concern at Sandia National Laboratories (SNL) and the networking community as a whole. The current state of the available IP addresses indicates that they are nearly exhausted. Currently SNL doesn't have the justification to obtain more IP address space from Internet Assigned Numbers Authority (IANA). There must exist a local entity to manage and allocate IP assignments efficiently. Ongoing efforts at Sandia have been in the form of a multifunctional database application notably known as Network Information System (NWIS). NWIS is a database responsible for a multitude of network administrative services including IP address management. This study will explore the feasibility of augmenting NWIS's IP management capabilities utilizing open source tools. Modifications of existing capabilities to better allocate available IP address space are studied.

  3. PVM and IP multicast

    SciTech Connect (OSTI)

    Dunigan, T.H.; Hall, K.A.

    1996-12-01

    This report describes a 1994 demonstration implementation of PVM that uses IP multicast. PVM`s one-to-many unicast implementation of its pvm{_}mcast() function is replaced with reliable IP multicast. Performance of PVM using IP multicast over local and wide-area networks is measured and compared with the original unicast implementation. Current limitations of IP multicast are noted.

  4. Standard Intellectual Property (IP) Provisions for Financial Assistance

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

    Awards | Department of Energy Standard Intellectual Property (IP) Provisions for Financial Assistance Awards Standard Intellectual Property (IP) Provisions for Financial Assistance Awards Click on Set Number to Access Provisions: Standard Intellectual Property (IP) Provisions for Financial Assistance Awards issued ON OR AFTER December 26, 2014 Type of Award Type of Project Special Data Statute e.g., EPACT) Type of Recipient Set Number (PDF) Cooperative Agreement Research, Development, or

  5. Number

    Office of Legacy Management (LM)

    ' , /v-i 2 -i 3 -A, This dow'at consists ~f--~-_,_~~~p.~,::, Number -------of.-&--copies, 1 Series.,-a-,-. ! 1 THE UNIVERSITY OF ROCHESTER 1; r-.' L INTRAMURALCORRESPONDENCE i"ks' 3 2.. September 25, 1947 Memo.tor Dr. A. H, Dovdy . From: Dr. H. E, Stokinger Be: Trip Report - Mayvood Chemical Works A trip vas made Nednesday, August 24th vith Messrs. Robert W ilson and George Sprague to the Mayvood Chemical F!orks, Mayvood, New Jersey one of 2 plants in the U.S.A. engaged in the

  6. Treatability study Number PDC-1-O-T. Final report

    SciTech Connect (OSTI)

    1998-04-22

    Los Alamos National Laboratory provided treatability study samples from four waste streams, designated Stream {number_sign}1, Stream {number_sign}3, Stream {number_sign}6, and Stream {number_sign}7. Stream {number_sign}1 consisted of one 55-gallon drum of personal protective equipment (PPE), rags, and neutralizing agent (bicarbonate) generated during the cleanup of a sodium dichromate solution spill. Stream {number_sign}3 was one 55-gallon drum of paper, rags, lab utensils, tools, and tape from the decontamination of a glovebox. The sample of Stream {number_sign}6 was packaged in three 30-gallon drums and a 100 ft{sup 3} wooden box. It consisted of plastic sheeting, PPE, and paper generated from the cleanup of mock explosive (barium nitrate) from depleted uranium parts. Stream {number_sign}7 was scrap metal (copper, stainless and carbon steel joined with silver solder) from the disassembly of gas manifolds. The objective of the treatability study is to determine: (1) whether the Perma-Fix stabilization/solidification process can treat the waste sample to meet Land Disposal Restrictions and the Waste Acceptance Criteria for LANL Technical Area 54, Area G, and (2) optimum loading and resulting weight and volume of finished waste form. The stabilized waste was mixed into grout that had been poured into a lined drum. After each original container of waste was processed, the liner was closed and a new liner was placed in the same drum on top of the previous closed liner. This allowed an overall reduction in waste volume but kept waste segregated to minimize the amount of rework in case analytical results indicated any batch did not meet treatment standards. Samples of treated waste from each waste stream were analyzed by Perma-Fix Analytical Services to get a preliminary approximation of TCLP metals. Splits of these samples were sent to American Environmental Network`s mixed waste analytical lab in Cary, NC for confirmation analysis. Results were all below applicable limits.

  7. Intellectual Property (IP) Service Providers for Acquisition...

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

    Intellectual Property (IP) Service Providers for Acquisition and Assistance Transactions WA05056IBMWATSONRESEARCHCENTERWaiverofDomesticand.pdf Need to Consider ...

  8. Intellectual Property (IP) Service Providers for Acquisition...

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

    Assistance More Documents & Publications Intellectual Property (IP) Service Providers for Acquisition and Assistance Transactions Microsoft Word - FAL2004-03.doc Microsoft Word -...

  9. SLCA/IP power alternative screening method (SPASM)

    SciTech Connect (OSTI)

    Palmer, S.C. |; Ancrile, J.D.

    1995-03-01

    This report describes the SLCA/IP Power Alternative Screening Method (SPASM), which was used to screen 784 possible combinations of electric power marketing alternatives and dam operational scenarios to provide a representative range for analysis in the Western Area Power Administration Salt Lake City Area Integrated Projects (SLCA/IP) Electric Power Marketing Environmental Impact Statement (EIS). Each combination consists of one energy and capacity commitment level and one operational scenario for each of the hydroelectric facilities at Glen Canyon Dam, Flaming Gorge Dam, and the Aspinall Unit. The total annual cost to the SLCA/IP firm power customers of each of the 784 combinations is estimated and included in a relative frequency distribution. A relative frequency distribution is also generated for each marketing alternative. The number of combinations is reduced to 12 by taking the mean value and endpoint value for each of four marketing alternatives. Some minor deviations from this procedure, which are made for political purposes, are explained. 9 figs., 14 tabs.

  10. Climate Zone Number 5 | Open Energy Information

    Open Energy Info (EERE)

    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...

  11. Climate Zone Number 1 | Open Energy Information

    Open Energy Info (EERE)

    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...

  12. Study of Engine Operating Parameter Effects on GDI Engine Particle-Number

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

    Emissions | Department of Energy Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Study of Engine Operating Parameter Effects on GDI Engine Particle-Number Emissions Results show that fuel-injection timing is the dominant factor contributing to PN emissions from this wall-guided GDI engine. PDF icon p-10_he.pdf More Documents & Publications Advanced Combustion and Fuels Vehicle Technologies Office Merit Review 2014: Particulate Emissions Control by

  13. IP Kids Page | The Ames Laboratory

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

    IP Kids Page For some fun and interactive sites for our oung scientists and entrepreneurs, please visit the below websites: US Patent and Trademark Office's Kids Page: http://www.uspto.gov/web/offices/ac/ahrpa/opa/kids/index.html Smithsonian's Lemelson Center's Invention at Play: http://invention.smithsonian.org/centerpieces/iap/playhouse_main.html Invent Iowa: http://www.education.uiowa.edu/belinblank/Students/inventia/ InventNow.org - World: http://www.inventnow.org/ American Intellectual

  14. Mid-Atomic-Number Cylindrical Wire Array Precursor Plasma Studies on Zebra

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

    Stafford, A; Safronova, A. S.; Kantsyrev, V. L.; Coverdale, Christine Anne; Weller, M. E.; Shrestha, I.; Shlyaptseva, V. V.; Chuvatin, A. S.

    2014-12-30

    The precursor plasmas from low wire number cylindrical wire arrays (CWAs) were previously shown to radiate at temperatures >300 eV for Ni-60 (94% Cu and 6% Ni) wires in experiments on the 1-MA Zebra generator. Continued research into precursor plasmas has studied additional midatomic-number materials including Cu and Alumel (95% Ni, 2% Al, 2% Mn, and 1% Si) to determine if the >300 eV temperatures are common for midatomic-number materials. Additionally, current scaling effects were observed by performing CWA precursor experiments at an increased current of 1.5 MA using a load current multiplier. Our results show an increase in amore » linear radiation yield of ~50% (16 versus 10 kJ/cm) for the experiments at increased current. However, plasma conditions inferred through the modeling of X-ray time-gated spectra are very similar for the precursor plasma in both current conditions.« less

  15. Lessons Learned in the Design and Use of IP1 / IP2 Flexible Packaging - 13621

    SciTech Connect (OSTI)

    Sanchez, Mike; Reeves, Wendall; Smart, Bill

    2013-07-01

    For many years in the USA, Low Level Radioactive Waste (LLW), contaminated soils and construction debris, have been transported, interim stored, and disposed of, using IP1 / IP2 metal containers. The performance of these containers has been more than adequate, with few safety occurrences. The containers are used under the regulatory oversight of the US Department of Transportation (DOT), 49 Code of Federal Regulations (CFR). In the late 90's the introduction of flexible packaging for the transport, storage, and disposal of low level contaminated soils and construction debris was introduced. The development of flexible packaging came out of a need for a more cost effective package, for the large volumes of waste generated by the decommissioning of many of the US Department of Energy (DOE) legacy sites across the US. Flexible packaging had to be designed to handle a wide array of waste streams, including soil, gravel, construction debris, and fine particulate dust migration. The design also had to meet all of the IP1 requirements under 49CFR 173.410, and be robust enough to pass the IP2 testing 49 CFR 173.465 required for many LLW shipments. Tens of thousands of flexible packages have been safely deployed and used across the US nuclear industry as well as for hazardous non-radioactive applications, with no recorded release of radioactive materials. To ensure that flexible packages are designed properly, the manufacturer must use lessons learned over the years, and the tests performed to provide evidence that these packages are suitable for transporting low level radioactive wastes. The design and testing of flexible packaging for LLW, VLLW and other hazardous waste streams must be as strict and stringent as the design and testing of metal containers. The design should take into consideration the materials being loaded into the package, and should incorporate the right materials, and manufacturing methods, to provide a quality, safe product. Flexible packaging can be shown to meet the criteria for safe and fit for purpose packaging, by meeting the US DOT regulations, and the IAEA Standards for IP-1 and IP-2 including leak tightness. (authors)

  16. Intellectual Property (IP) Service Providers for Acquisition and Assistance

    Office of Environmental Management (EM)

    Transactions | Department of Energy DOE_IP_Counsel_for_DOE_Laboratories 2015 More Documents & Publications Intellectual Property (IP) Service Providers for Acquisition and Assistance Transactions WA_05_056_IBM_WATSON_RESEARCH_CENTER_Waiver_of_Domestic_and_.pdf Need to Consider Intentional Destructive Acts in NEPA Documents

  17. Neutrino properties deduced from the study of lepton number violating processes at low and high energies

    SciTech Connect (OSTI)

    Stoica, Sabin [Horia Hulubei Foundation, P.O. Box MG-12, 077125 Magurele-Bucharest (Romania) and Horia Hulubei National Institute for Physics and Nuclear Engineering, P.O. Box MG-6, Magurele-Bucharest 077125 (Romania)

    2012-11-20

    There is nowadays a significant progress in understanding the neutrino properties. The results of the neutrino oscillation experiments have convincingly showed that neutrinos have mass and oscillate, in contradiction with the Standard Model (SM) assumptions, and these are the first evidences of beyond SM physics. However, fundamental properties of the neutrinos like their absolute mass, their character (are they Dirac or Majorana particles?), their mass hierarchy, the number of neutrino flavors, etc., still remain unknown. In this context there is an increased interest in the study of the lepton number violating (LNV) processes, since they could complete our understanding on the neutrino properties. Since recently, the neutrinoless double beta decay was considered the only process able to distinguish between Dirac or Majorana neutrinos and to give a hint on the absolute mass of the electron neutrino. At present, the increased luminosity of the LHC experiments makes feasible the search of LNV processes at high energy as well. In this lecture I will make a brief review on our present knowledge of the neutrino properties, on the present status of the double-beta decay studies and on the first attempts to search LNV processes at LHC.

  18. IPS- Industrial Power Systems | Open Energy Information

    Open Energy Info (EERE)

    Solar, Vehicles, Wind energy Product: Engineeringarchitecturaldesign;Installation; Maintenance and repair; Other:Construction Phone Number: 419-531-3121 Website:...

  19. Experimental study of Markstein number effects on laminar flamelet velocity in turbulent premixed flames

    SciTech Connect (OSTI)

    Weiss, M.; Zarzalis, N. [Division of Combustion Technology, Engler-Bunte-Institute, University of Karlsruhe (TH), Karlsruhe (Germany); Suntz, R. [Institute for Chemical Technology, University of Karlsruhe (TH), Karlsruhe (Germany)

    2008-09-15

    Effects of turbulent flame stretch on mean local laminar burning velocity of flamelets, u{sub n}, were investigated experimentally in an explosion vessel at normal temperature and pressure. In this context, the wrinkling, A{sub t}/A{sub l}, and the burning velocity, u{sub t}, of turbulent flames were measured simultaneously. With the flamelet assumption the mean local laminar burning velocity of flamelets, u{sub n}=u{sub t} x (A{sub t}/A{sub l}){sup -1}, was calculated for different turbulence intensities. The results were compared to the influence of stretch on spherically expanding laminar flames. For spherically expanding laminar flames the stretched laminar burning velocity, u{sub n}, varied linearly with the Karlovitz stretch factor, yielding Markstein numbers that depend on the mixture composition. Six different mixtures with positive and negative Markstein numbers were investigated. The measurements of the mean local laminar burning velocity of turbulent flamelets were used to derive an efficiency parameter, I, which reflects the impact of the Markstein number and turbulent flame stretch - expressed by the turbulent Karlovitz stretch factor - on the local laminar burning velocity of flamelets. The results showed that the efficiency is reduced with increasing turbulence intensity and the reduction can be correlated to unsteady effects. (author)

  20. Document Number 00029500 Focused Feasibilitv Studv 5.0 Focused Feasibility Study

    Office of Legacy Management (LM)

    00029500 Focused Feasibilitv Studv 5.0 Focused Feasibility Study The purpose of a CERCLA feasibility study is to develop, screen, and analyze potential remedial options for managing risk at uncontrolled hazardous waste sites (EPA 1988) in a manner that "reflect[s] the scope and complexity of the remedial action under consideration and the site problems being addressed" (EPA 1990). The feasibility study presented in this section is a focused feasibility study (FFS) because it follows

  1. Intellectual Property (IP) Service Providers for Acquisition and Assistance

    Office of Environmental Management (EM)

    Transactions | Department of Energy Intellectual Property Provides ACQ and Assistance More Documents & Publications Intellectual Property (IP) Service Providers for Acquisition and Assistance Transactions Microsoft Word - FAL2004-03.doc Microsoft Word - AcqGuide71pt1.doc

  2. p{sub x}+ip{sub y} Superfluid from s-Wave Interactions of Fermionic Cold Atoms

    SciTech Connect (OSTI)

    Zhang Chuanwei; Tewari, Sumanta; Lutchyn, Roman M.; Das Sarma, S.

    2008-10-17

    Two-dimensional (p{sub x}+ip{sub y}) superfluids or superconductors offer a playground for studying intriguing physics such as quantum teleportation, non-Abelian statistics, and topological quantum computation. Creating such a superfluid in cold fermionic atom optical traps using p-wave Feshbach resonance is turning out to be challenging. Here we propose a method to create a p{sub x}+ip{sub y} superfluid directly from an s-wave interaction making use of a topological Berry phase, which can be artificially generated. We discuss ways to detect the spontaneous Hall mass current, which acts as a diagnostic for the chiral p-wave superfluid.

  3. Research Study - Global Enterprise VoIP Equipment Market Forecasts...

    Open Energy Info (EERE)

    we deeply analyzed the world's main region market conditions that including the product price, profit, capacity, production, capacity utilization, supply, demand and industry...

  4. Request Number:

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

    3023307 Name: Madeleine Brown Organization: nJa Address: --- -------- -------- -- Country: Phone Number: United States Fax Number: n/a E-mail: --- -------- --------_._------ --- Reasonably Describe Records Description: Please send me a copy of the emails and records relating to the decision to allow the underage son of Bill Gates to tour Hanford in June 2010. Please also send the emails and records that justify the Department of Energy to prevent other minors from visiting B Reactor. Optional

  5. Request Number:

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

  6. Laminar round jet diffusion flame buoyant instabilities: Study on the disappearance of varicose structures at ultra-low Froude number

    SciTech Connect (OSTI)

    Boulanger, Joan [Gas Turbine Laboratory, Institute for Aerospace Research, Ottawa, Ontario (Canada)

    2010-04-15

    At very low Froude number, buoyancy instabilities of round laminar jet diffusion flames disappear (except for small tip oscillations referred to as flickering) and those flames look stable and smooth. This study examines the contributions of the different phenomena in the flow dynamics that may explain this effect. It is observed that, at ultra-low Froude/Reynolds numbers, the material influenced by buoyancy is the plume of the flame and not the flame itself (reaction zone) that is short. Therefore, the vorticity creation zone does not profit from the reaction neighbourhood promoting a sharp gradient of density. Expansion and stretch are also important as they push vorticity creation terms more inside the flame and closer to the burner rim compared to moderate Froude flames. In these latter, the vorticity is continuously created around the flame reaction zone, along its developed height and closer to the vertical direction (in average). (author)

  7. Linear Collider Test Facility: Twiss Parameter Analysis at the IP/Post-IP Location of the ATF2 Beam Line

    SciTech Connect (OSTI)

    Bolzon, Benoit; Jeremie, Andrea; Bai, Sha; Bambade, Philip; White, Glen; /SLAC

    2012-07-02

    At the first stage of the ATF2 beam tuning, vertical beam size is usually bigger than 3 {micro}m at the IP. Beam waist measurements using wire scanners and a laser wire are usually performed to check the initial matching of the beam through to the IP. These measurements are described in this paper for the optics currently used ({beta}{sub x} = 4cm and {beta}{sub y} = 1mm). Software implemented in the control room to automate these measurements with integrated analysis is also described. Measurements showed that {beta} functions and emittances were within errors of measurements when no rematching and coupling corrections were done. However, it was observed that the waist in the horizontal (X) and vertical (Y) plane was abnormally shifted and simulations were performed to try to understand these shifts. They also showed that multiknobs are needed in the current optics to correct simultaneously {alpha}{sub x}, {alpha}{sub y} and the horizontal dispersion (D{sub x}). Such multiknobs were found and their linearity and orthogonality were successfully checked using MAD optics code. The software for these multiknobs was implemented in the control room and waist scan measurements using the {alpha}{sub y} knob were successfully performed.

  8. MHK ISDB/Instruments/CDL MiniSense 2-IPS | Open Energy Information

    Open Energy Info (EERE)

    CDL MiniSense 2-IPS < MHK ISDB Jump to: navigation, search MHK Instrumentation & Sensor Database Menu Home Search Add Instrument Add Sensor Add Company Community FAQ Help...

  9. Energy star compliant voice over internet protocol (VoIP) telecommunications network including energy star compliant VoIP devices

    DOE Patents [OSTI]

    Kouchri, Farrokh Mohammadzadeh

    2012-11-06

    A Voice over Internet Protocol (VoIP) communications system, a method of managing a communications network in such a system and a program product therefore. The system/network includes an ENERGY STAR (E-star) aware softswitch and E-star compliant communications devices at system endpoints. The E-star aware softswitch allows E-star compliant communications devices to enter and remain in power saving mode. The E-star aware softswitch spools messages and forwards only selected messages (e.g., calls) to the devices in power saving mode. When the E-star compliant communications devices exit power saving mode, the E-star aware softswitch forwards spooled messages.

  10. A study of the spray injection Reynolds number effects on gasoline yields of an FCC riser reactor

    SciTech Connect (OSTI)

    Bowman, B. J.; Zhou, C. Q.; Chang, S. L.; Lottes, S. A.

    2000-04-03

    A computational analysis of the combined effects of feed oil injection parameters in a commercial-scale fluidized catalytic cracking riser reactor was performed using a three-phase, multiple species kinetic cracking computer code. The analysis showed that the injection operating parameters (droplet diameter and injection velocity) had strong impacts on the gasoline yields of the FCC unit. A spray injection Reynolds number combining the two parameters was defined. A correlation between the spray injection Reynolds number and the gasoline product yields for various feed injection conditions was developed. A range of spray injection Reynolds number for the maximum gasoline yield was identified.

  11. SU-E-T-629: Feasibility Study of Treating Multiple Brain Tumors with Large Number of Noncoplanar IMRT Beams

    SciTech Connect (OSTI)

    Dong, P; Ma, L

    2014-06-15

    Purpose: To study the feasibility of treating multiple brain tumors withlarge number of noncoplanar IMRT beams. Methods: Thirty beams are selected from 390 deliverable beams separated by six degree in 4pi space. Beam selection optimization is based on a column generation algorithm. MLC leaf size is 2 mm. Dose matrices are calculated with collapsed cone convolution and superposition method in a 2 mm by 2mm by 2 mm grid. Twelve brain tumors of various shapes, sizes and locations are used to generate four plans treating 3, 6, 9 and 12 tumors. The radiation dose was 20 Gy prescribed to the 100% isodose line. Dose Volume Histograms for tumor and brain were compared. Results: All results are based on a 2 mm by 2 mm by 2 mm CT grid. For 3, 6, 9 and 12 tumor plans, minimum tumor doses are all 20 Gy. Mean tumor dose are 20.0, 20.1, 20.1 and 20.1 Gy. Maximum tumor dose are 23.3, 23.6, 25.4 and 25.4 Gy. Mean ventricles dose are 0.7, 1.7, 2.4 and 3.1 Gy.Mean subventricular zone dose are 0.8, 1.3, 2.2 and 3.2 Gy. Average Equivalent uniform dose (gEUD) values for tumor are 20.1, 20.1, 20.2 and 20.2 Gy. The conformity index (CI) values are close to 1 for all 4 plans. The gradient index (GI) values are 2.50, 2.05, 2.09 and 2.19. Conclusion: Compared with published Gamma Knife treatment studies, noncoplanar IMRT treatment plan is superior in terms of dose conformity. Due to maximum limit of beams per plan, Gamma knife has to treat multiple tumors separately in different plans. Noncoplanar IMRT plans theoretically can be delivered in a single plan on any modern linac with an automated couch and image guidance. This warrants further study of using noncoplanar IMRT as a viable treatment solution for multiple brain tumors.

  12. U-107: Cisco NX-OS IP Packet Processing Flaw Lets Remote Users Deny Service

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

    | Department of Energy 7: Cisco NX-OS IP Packet Processing Flaw Lets Remote Users Deny Service U-107: Cisco NX-OS IP Packet Processing Flaw Lets Remote Users Deny Service February 21, 2012 - 6:00am Addthis PROBLEM: A vulnerability was reported in Cisco NX-OS. A remote user can cause denial of service conditions. PLATFORM: Nexus 1000v, 5000, and 7000 Series Switches ABSTRACT: A remote user can send a specially crafted IP packet to cause the target device to reload. reference LINKS: Cisco

  13. U-107: Cisco NX-OS IP Packet Processing Flaw Lets Remote Users...

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

    reload. The vulnerability occurs when the device attepts to obtain Layer 4 (e.g., UDP, TCP) data from the specially crafted IP packet. Nexus 1000v, 5000, and 7000 Series Switches...

  14. T-648: Avaya IP Office Manager TFTP Server Lets Remote Users Traverse the Directory

    Broader source: Energy.gov [DOE]

    The software does not properly validate user-supplied input. A remote user can supply a specially crafted request to view files on target system running the IP Office Manager software.

  15. Quantitative Visualization of ChIP-chip Data by Using Linked...

    Office of Scientific and Technical Information (OSTI)

    Data by Using Linked Views Most analyses of ChIP-chip in vivo DNA binding have focused on qualitative descriptions of whether genomic regions are bound or not. There is increasing...

  16. Quantitative Visualization of ChIP-chip Data by Using Linked...

    Office of Scientific and Technical Information (OSTI)

    VA at www.ntis.gov. Most analyses of ChIP-chip in vivo DNA binding have focused on qualitative descriptions of whether genomic regions are bound or not. There is increasing...

  17. Weatherization Beyond the Numbers: Case Studies of Fifteen High-performing Weatherization Agencies - Conducted May 2011 through July 2012

    SciTech Connect (OSTI)

    Tonn, Bruce Edward; Rose, Erin M.; Hawkins, Beth A.

    2014-09-01

    The report presents fifteen individual case studies of high-performing and unique local weatherization agencies. This research was one component of the retrospective evaluation of the U.S. Department of Energy s Weatherization Assistance Program. The agencies were chosen to represent a range of contexts and approaches to weatherization. For example, the set of agencies includes a mix of urban and rural agencies, those that mainly use in-house crews to weatherize homes versus those that use contractor crews, and a mix of locations, from very cold climates to moderate to hot humid and dry climates. The case studies were mainly based on site visits to the agencies that encompassed interviews with program directors, weatherization crews, and recipients of weatherization. This information was supplemented by secondary materials. The cases document the diversity of contexts and challenges faced by the agencies and how they operate on a day-by-day basis. The cases also high common themes found throughout the agencies, such as their focus on mission and respect for their clients.

  18. Number | Open Energy Information

    Open Energy Info (EERE)

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

  19. NSR Key Number Retrieval

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

    NSR Key Number Retrieval Pease enter key in the box Submit

  20. Spectroscopic Studies of Photosynthetic Systems and Their Application in Photovoltaic Devices - Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-06-175

    SciTech Connect (OSTI)

    Seibert, M.

    2014-09-01

    Spectral hole-burning (SHB) and single photosynthetic complex spectroscopy (SPCS) will be used to study the excitonic structure and excitation energy transfer (EET) processes of several photosynthetic protein complexes at low temperatures. The combination of SHB on bulk samples and SPCS is a powerful frequency domain approach for obtaining data that will address a number of issues that are key to understanding excitonic structure and energy transfer dynamics. The long-term goal is to reach a better understanding of the ultrafast solar energy driven primary events of photosynthesis as they occur in higher plants, cyanobacteria, purple bacteria, and green algae. A better understanding of the EET and charge separation (CS) processes taking place in photosynthetic complexes is of great interest, since photosynthetic complexes might offer attractive architectures for a future generation of circuitry in which proteins are crystallized.

  1. An Information Services Algorithm to Heuristically Summarize IP Addresses for a Distributed, Hierarchical Directory Service

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

    information services algorithm to heuristically summarize IP addresses for a distributed, hierarchical directory service Marcos Portnoi, Martin Swany Department of Computer and Information Sciences University of Delaware Newark, DE 19716, U.S.A. {portnoi, swany}@cis.udel.edu Jason Zurawski Internet2 Washington, DC 20036, U.S.A. zurawski@internet2.edu Abstract- A distributed, hierarchical information service for computer networks might use several service instances, located in different layers. A

  2. Surveillance study of health effects associated with cleanup of a hazardous waste site, Ralph Gray Trucking Company (a/k/a Westminster Tract Number 2633), Westminster, Orange County, California, Region 9: CERCLIS number CAD981995947

    SciTech Connect (OSTI)

    Hoshiko, S.; Underwood, M.C.; Smith, D.; DeLorenze, G.; Neuhaus, J.

    1999-04-01

    Excavation of a Superfund site, the Ralph Gray Truncking Company located in Westminster Orange County, California was anticipated to release sulfur dioxide and other chemicals. The California Department of Health Services, under cooperative agreement with the Agency for Toxic Substances and Disease Registry, conducted a surveillance study to assess whether illnesses were associated with cleanup activities. A panel primarily composed of more sensitive persons (n = 36) was selected to report daily respiratory symptoms and odors. Exposures included sulfur dioxide (SO{sub 2}) measurements and daily tonnage of waste removed. Analysis used Conditional Likelihood Regression and Generalized Estimating Equations (GEE) methods. Levels of SO{sub 2} were generally higher than usual ambient air, at times exceeding levels which can cause health effects among asthmatics in laboratory settings. Wheeze and cough were significantly associated with tonnage of waste removed, especially on days when the highest amounts of waste were removed. Upper respiratory symptoms were found to be associated with SO{sub 2}, and weak relationships were found with nausea and burning nose and SO{sub 2}.

  3. Big Numbers | Jefferson Lab

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

    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 equipment, we

  4. Clues to the nature of SN 2009ip from photometric and spectroscopic evolution to late times

    SciTech Connect (OSTI)

    Graham, M. L. [Astronomy Department, University of California, Berkeley, CA 94720 (United States); Sand, D. J. [Physics Department, Texas Tech University, Lubbock, TX 79409 (United States); Valenti, S.; Howell, D. A.; Parrent, J. [Las Cumbres Observatory Global Telescope Network, Goleta, CA 93117 (United States); Halford, M.; Zaritsky, D. [Astronomy Department, University of Arizona, Tucson, AZ 85721 (United States); Bianco, F. [Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States); Rest, A. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Dilday, B., E-mail: melissagraham@berkeley.edu [North Idaho College, 1000 W. Garden Avenue, Coeur d'Alene, ID 83814 (United States)

    2014-06-01

    We present time series photometric and spectroscopic data for the transient SN 2009ip from the start of its outburst in 2012 September until 2013 November. These data were collected primarily with the new robotic capabilities of the Las Cumbres Observatory Global Telescope Network, a specialized facility for time domain astrophysics, and includes supporting high-resolution spectroscopy from the Southern Astrophysical Research Telescope, Kitt Peak National Observatory, and Gemini Observatory. Based on our nightly photometric monitoring, we interpret the strength and timing of fluctuations in the light curve as interactions between fast-moving ejecta and an inhomogeneous circumstellar material (CSM) produced by past eruptions of this massive luminous blue variable (LBV) star. Our time series of spectroscopy in 2012 reveals that, as the continuum and narrow H? flux from CSM interactions declines, the broad component of H? persists with supernova (SN)-like velocities that are not typically seen in LBVs or SN impostor events. At late times, we find that SN 2009ip continues to decline slowly, at ? 0.01 mag day{sup 1}, with small fluctuations in slope similar to Type IIn supernovae (SNe IIn) or SN impostors but no further LBV-like activity. The late-time spectrum features broad calcium lines similar to both late-time SNe and SN impostors. In general, we find that the photometric and spectroscopic evolution of SN 2009ip is more similar to SNe IIn than either continued eruptions of an LBV star or SN impostors but we cannot rule out a nonterminal explosion. In this context, we discuss the implications for episodic mass loss during the late stages of massive star evolution.

  5. Document ID Number: RL-721

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

    ---------------------------------------------------------- Document ID Number: RL-721 REV 4 NEPA REVIEW SCREENING FORM DOE/CX-00066 I. Project Title: Nesting Bird Deterrent Study at the 241-C Tank Farm CX B3.8, "Outdoor Terrestrial Ecological and Environmental Research" II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings,

  6. Report number codes

    SciTech Connect (OSTI)

    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.

  7. Characterization, Monitoring, and Sensor Technology Integrated Program (CMST-IP). Technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    The Characterization, Monitoring, and Sensor Technology Integrated Program seeks to deliver needed technologies, timely and cost-effectively, to the Office of Waste Management (EM-30), the Office of Environmental Restoration (EM-40), and the Office of Facility Transition and Management (EM-60). The scope of characterizations monitoring, and sensor technology needs that are required by those organizations encompass: (1) initial location and characterization of wastes and waste environments - prior to treatment; (2) monitoring of waste retrieval, remediation and treatment processes; (3) characterization of the co-position of final waste treatment forms to evaluate the performance of waste treatments processes; and (4) site closure and compliance monitoring. Wherever possible, the CMST-IP fosters technology transfer and commercialization of technologies that it sponsors.

  8. Document Details Document Number

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

    Document Details Document Number Date of Document Document Title/Description [Links below to each document] D195066340 Not listed. N/A REVISIONS IN STRATIGRAPHIC NOMENCLATURE OF COLUMBIA RIVER BASALT GROUP D196000240 Not listed. N/A EPA DENIAL OF LINER LEACHATE COLLECTION SYSTEM REQUIREMENTS D196005916 Not listed. N/A LATE CENOZOIC STRATIGRAPHY AND TECTONIC EVOLUTION WITHIN SUBSIDING BASIN SOUTH CENTRAL WASHINGTON D196025993 RHO-BWI-ST-14 N/A SUPRABASALT SEDIMENTS OF COLD CREEK SYNCLINE AREA

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  10. Texas Natural Gas Number of Commercial Consumers (Number of Elements...

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

    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...

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

    U.S. 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...

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

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

    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...

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

    Commercial Consumers (Number of Elements) New York 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...

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

    Gasoline and Diesel Fuel Update (EIA)

    Residential Consumers (Number of Elements) New York 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...

  16. Indiana Natural Gas Number of Industrial Consumers (Number of...

    U.S. 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...

  17. DOE/ID-Number

    Office of Environmental Management (EM)

    Results of Stainless Steel Canister Corrosion Studies and Environmental Sample Investigations Prepared for U.S. Department of Energy Used Fuel Disposition Program Charles Bryan and David Enos Sandia National Laboratories September 25, 2014 FCRD-UFD-2014-000055 SAND2014-20347 O Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security

  18. Operational Experiences Tuning the ATF2 Final Focus Optics Towards Obtaining a 37nm Electron Beam IP Spot Size

    SciTech Connect (OSTI)

    White, Glen; Seryi, Andrei; Woodley, Mark; Bai, Sha; Bambade, Philip; Renier, Yves; Bolzon, Benoit; Kamiya, Yoshio; Komamiya, Sachio; Oroku, Masahiro; Yamaguchi, Yohei; Yamanaka, Takashi; Kubo, Kiyoshi; Kuroda, Shigeru; Okugi, Toshiyuki; Tauchi, Toshiaki; Marin, Eduardo; /CERN

    2012-07-06

    The primary aim of the ATF2 research accelerator is to test a scaled version of the final focus optics planned for use in next-generation linear lepton colliders. ATF2 consists of a 1.3 GeV linac, damping ring providing low-emittance electron beams (< 12pm in the vertical plane), extraction line and final focus optics. The design details of the final focus optics and implementation at ATF2 are presented elsewhere. The ATF2 accelerator is currently being commissioned, with a staged approach to achieving the design IP spot size. It is expected that as we implement more demanding optics and reduce the vertical beta function at the IP, the tuning becomes more difficult and takes longer. We present here a description of the implementation of the tuning procedures and describe operational experiences and performances.

  19. SN 2009ip: CONSTRAINTS ON THE PROGENITOR MASS-LOSS RATE

    SciTech Connect (OSTI)

    Ofek, E. O.; Lin, L.; Goegues, E.; Kouveliotou, C.; Kasliwal, M. M.; Cao, Y.

    2013-05-01

    Some supernovae (SNe) show evidence for mass-loss events taking place prior to their explosions. Measuring their pre-outburst mass-loss rates provides essential information regarding the mechanisms that are responsible for these events. Here we present XMM-Newton and Swift X-ray observations taken after the latest, and presumably the final, outburst of SN 2009ip. We use these observations as well as new near-infrared and visible-light spectra and published radio and visible-light observations to put six independent order-of-magnitude constraints on the mass-loss rate of the SN progenitor prior to the explosion. Our methods utilize the X-ray luminosity, the bound-free absorption, the H{alpha} luminosity, the SN rise time, free-free absorption, and the bolometric luminosity of the outburst detected prior to the explosion. Assuming spherical mass loss with a wind-density profile, we estimate that the effective mass-loss rate from the progenitor was between 10{sup -3} and 10{sup -2} M{sub Sun} yr{sup -1}, over a few years prior to the explosion, with a velocity of {approx}10{sup 3} km s{sup -1}. This mass-loss rate corresponds to a total circumstellar matter (CSM) mass of {approx}0.04 M{sub Sun }, within 6 Multiplication-Sign 10{sup 15} cm of the SN. We note that the mass-loss rate estimate based on the H{alpha} luminosity is higher by an order of magnitude. This can be explained if the narrow-line H{alpha} component is generated at radii larger than the shock radius, or if the CSM has an aspherical geometry. We discuss simple geometries which are consistent with our results.

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Number of Natural Gas

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Number of Natural Gas Industrial

  2. Total Number of Operable Refineries

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

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

  3. Compendium of Experimental Cetane Numbers

    SciTech Connect (OSTI)

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

    2014-08-01

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

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

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

    U.S. 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 184 177 177 195 218 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

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

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

    Elements) Industrial Consumers (Number of Elements) New Hampshire Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 153 295 376 1990's 364 361 344 334 324 332 367 385 389 417 2000's 432 331 437 550 305 397 421 578 5,298 155 2010's 306 362 466 403 326 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

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

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

    Elements) Industrial Consumers (Number of Elements) North 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 138 148 151 1990's 165 170 171 174 186 189 206 216 404 226 2000's 192 203 223 234 241 239 241 253 271 279 2010's 307 259 260 266 269 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

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

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

    Industrial Consumers (Number of Elements) Utah Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 551 627 550 1990's 1,508 631 783 345 252 713 923 3,379 3,597 3,625 2000's 3,576 3,535 949 924 312 191 274 278 313 293 2010's 293 286 302 323 328 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release

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

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

    Industrial Consumers (Number of Elements) Vermont 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 22 21 14 1990's 15 13 18 20 24 23 27 30 36 37 2000's 38 36 38 41 43 41 35 37 35 36 2010's 38 36 38 13 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

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

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

    Industrial Consumers (Number of Elements) Florida 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 575 552 460 1990's 452 377 388 433 481 515 517 561 574 573 2000's 520 518 451 421 398 432 475 467 449 607 2010's 581 630 507 528 520 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

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

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

    Elements) Industrial Consumers (Number of Elements) West Virginia Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 463 208 211 1990's 182 198 159 197 191 192 182 173 217 147 2000's 207 213 184 142 137 145 155 114 109 101 2010's 102 94 97 95 92 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

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

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

    Industrial Consumers (Number of Elements) Wyoming Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 190 200 230 1990's 284 228 244 194 135 126 170 194 317 314 2000's 308 295 877 179 121 127 133 133 155 130 2010's 120 123 127 132 131 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  19. A closer look at the fluctuations in the brightness of SN 2009IP during its late 2012 eruption

    SciTech Connect (OSTI)

    Martin, J. C. [Barber Observatory, University of Illinois Springfield, Springfield, IL 62704 (United States); Hambsch, F.-J. [Remote Observatory, Atacama Desert, Chile Vereniging Voor Sterrenkunde (VVS), Oude Bleken 12, B-2400 Mol (Belgium); Margutti, R.; Soderberg, A. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02318 (United States); Tan, T. G. [Perth Exoplanet Survey Telescope, Perth (Australia); Curtis, I., E-mail: jmart5@uis.edu [Adelaide (Australia)

    2015-01-01

    The supernova (SN) impostor SN 2009ip has re-brightened several times since its initial discovery in 2009 August. During its last outburst in late 2012 September, it reached a peak brightness of m{sub v} ?13.5 (M{sub v} brighter than ?18), causing some to speculate that it had undergone a terminal core-collapse SN. Relatively high-cadence multi-wavelength photometry of the post-peak decline revealed bumps in brightness infrequently observed in other SNe IIn. These bumps occurred synchronously in all ultraviolet (UV) and optical bands with amplitudes of 0.10.4 mag at intervals of 1030 days. Episodic continuum brightening and dimming in the UV and optical with these characteristics is not easily explained within the context of models that have been proposed for the late September 2012 outburst of SN 2009ip. We also present evidence that the post-peak fluctuations in brightness occur at regular intervals and raise more questions about their origin.

  20. Departmental Business Instrument Numbering System

    Broader source: Directives, Delegations, and 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.

  1. Departmental Business Instrument Numbering System

    Broader source: Directives, Delegations, and 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.

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

    U.S. 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 67,806 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 778,985 772,892 767,396 765,957 769,418 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = No Data Reported; -- = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA =

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

    U.S. 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 - = No Data Reported; -- = Not Applicable;

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

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

    U.S. 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)

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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)

    U.S. 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 132,163 132,938 134,394 135,557 136,382 - = No Data Reported; -- = Not Applicable; NA = Not Available;

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

    U.S. 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 1,878 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No

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

    U.S. 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 50,238 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = 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

    U.S. 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 436,840 442,479 442,840 445,589 444,423 - = No Data Reported; -- = Not

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

    U.S. 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 138,670 138,214 144,906 142,495 143,024 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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)

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

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

    Elements) Commercial Consumers (Number of Elements) New Hampshire Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 8,831 9,159 10,237 1990's 10,521 11,088 11,383 11,726 12,240 12,450 12,755 13,225 13,512 13,932 2000's 14,219 15,068 15,130 15,047 15,429 16,266 16,139 16,150 41,332 16,937 2010's 16,645 17,186 17,758 17,298 17,421 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

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

    Elements) Residential Consumers (Number of Elements) New Hampshire 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 60,078 61,969 64,059 1990's 65,310 67,991 69,356 70,938 72,656 74,232 75,175 77,092 78,786 80,958 2000's 82,813 84,760 87,147 88,170 88,600 94,473 94,600 94,963 67,945 96,924 2010's 95,361 97,400 99,738 98,715 99,146 - = No Data Reported; -- = Not Applicable; NA = Not Available;

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

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

    Elements) Industrial Consumers (Number of Elements) North 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 3,236 3,196 3,381 1990's 2,802 3,506 3,119 2,664 3,401 3,652 3,973 5,375 6,228 5,672 2000's 5,288 2,962 3,200 3,101 3,021 2,891 2,701 2,991 2,984 2,384 2010's 2,457 2,468 2,525 2,567 2,596 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

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

    Elements) Residential Consumers (Number of Elements) North 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 435,826 472,928 492,821 1990's 520,140 539,321 575,096 607,388 652,307 678,147 699,159 740,013 777,805 815,908 2000's 858,004 891,227 905,816 953,732 948,283 992,906 1,022,430 1,063,871 1,095,362 1,102,001 2010's 1,115,532 1,128,963 1,142,947 1,161,398 1,183,152 - = No Data

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

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

    Elements) Commercial Consumers (Number of Elements) North 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 11,905 12,104 12,454 1990's 12,742 12,082 12,353 12,650 12,944 13,399 13,789 14,099 14,422 15,050 2000's 15,531 15,740 16,093 16,202 16,443 16,518 16,848 17,013 17,284 17,632 2010's 17,823 18,421 19,089 19,855 20,687 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

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

    Elements) Residential Consumers (Number of Elements) North Dakota Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 83,517 84,059 84,643 1990's 85,646 87,880 89,522 91,237 93,398 95,818 97,761 98,326 101,930 104,051 2000's 105,660 106,758 108,716 110,048 112,206 114,152 116,615 118,100 120,056 122,065 2010's 123,585 125,392 130,044 133,975 137,972 - = No Data Reported; -- = Not Applicable; NA =

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 3,283,869 -

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

    U.S. 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 96,004 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 3,063 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

    U.S. 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 - = No Data Reported; -- = Not

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

    U.S. 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 56,172 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

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

    U.S. 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 1,426 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 570,797 576,594 583,633 593,286 604,743 - = No Data Reported; -- = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

    U.S. 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 - = No Data Reported; -- = Not

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

    U.S. 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 127,914 128,969 130,139 131,091 131,001 - = No Data Reported; -- = Not Applicable; NA = Not Available;

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 1,106,681 - = No Data Reported; -- =

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

    U.S. 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 8,406 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

    Commercial Consumers (Number of Elements) Utah Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 31,329 32,637 32,966 1990's 34,697 35,627 36,145 37,816 39,183 40,101 40,107 40,689 42,054 43,861 2000's 47,201 47,477 50,202 51,063 51,503 55,174 55,821 57,741 59,502 60,781 2010's 61,976 62,885 63,383 64,114 65,134 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  3. Utah Natural Gas Number of Residential Consumers (Number of Elements)

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

    Residential Consumers (Number of Elements) Utah Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 414,020 418,569 432,377 1990's 453,023 455,649 467,664 484,438 503,583 523,622 562,343 567,786 588,364 609,603 2000's 641,111 657,728 660,677 678,833 701,255 743,761 754,554 778,644 794,880 810,442 2010's 821,525 830,219 840,687 854,389 869,052 - = No Data Reported; -- = Not Applicable; NA = Not

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

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

    Commercial Consumers (Number of Elements) Vermont Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,447 2,698 2,768 1990's 2,949 3,154 3,198 3,314 3,512 3,649 3,790 3,928 4,034 4,219 2000's 4,316 4,416 4,516 4,602 4,684 4,781 4,861 4,925 4,980 5,085 2010's 5,137 5,256 5,535 5,441 5,589 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

    Residential Consumers (Number of Elements) Vermont Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15,553 16,616 16,920 1990's 18,300 19,879 20,468 21,553 22,546 23,523 24,383 25,539 26,664 27,931 2000's 28,532 29,463 30,108 30,856 31,971 33,015 34,081 34,937 35,929 37,242 2010's 38,047 38,839 39,917 41,152 42,231 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

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

    Commercial Consumers (Number of Elements) Virginia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 54,071 54,892 61,012 1990's 63,751 67,997 69,629 70,161 72,188 74,690 77,284 78,986 77,220 80,500 2000's 84,646 84,839 86,328 87,202 87,919 90,577 91,481 93,015 94,219 95,704 2010's 95,401 96,086 96,503 97,499 98,741 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

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

    Industrial Consumers (Number of Elements) Virginia Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 877 895 895 1990's 929 1,156 1,101 2,706 2,740 2,812 2,822 2,391 2,469 2,984 2000's 1,749 1,261 1,526 1,517 1,217 1,402 1,256 1,271 1,205 1,126 2010's 1,059 1,103 1,132 1,132 1,123 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

    Residential Consumers (Number of Elements) Virginia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 550,318 573,731 601,906 1990's 622,883 651,203 664,500 690,061 721,495 753,003 789,985 812,866 847,938 893,887 2000's 907,855 941,582 982,521 996,564 1,029,389 1,066,302 1,085,509 1,101,863 1,113,016 1,124,717 2010's 1,133,103 1,145,049 1,155,636 1,170,161 1,183,894 - = No Data Reported; -- = Not

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

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

    Commercial Consumers (Number of Elements) Washington 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 51,365 56,487 55,231 1990's 58,148 60,887 63,391 65,810 68,118 70,781 73,708 75,550 77,770 80,995 2000's 83,189 84,628 85,286 87,082 93,559 92,417 93,628 95,615 97,799 98,965 2010's 99,231 99,674 100,038 100,939 101,730 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

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

    Industrial Consumers (Number of Elements) Washington Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,355 3,564 3,365 1990's 3,428 3,495 3,490 3,448 3,586 3,544 3,587 3,748 3,848 4,040 2000's 4,007 3,898 3,928 3,775 3,992 3,489 3,428 3,630 3,483 3,428 2010's 3,372 3,353 3,338 3,320 3,355 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

    Residential Consumers (Number of Elements) Washington 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 392,469 413,008 425,624 1990's 458,013 492,189 528,913 565,475 604,315 638,603 673,357 702,701 737,208 779,104 2000's 813,319 841,617 861,943 895,800 926,510 966,199 997,728 1,025,171 1,047,319 1,059,239 2010's 1,067,979 1,079,277 1,088,762 1,102,318 1,118,193 - = No Data Reported; -- = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA =

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 -

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

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

    Commercial Consumers (Number of Elements) Florida 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 41 42,376 43,178 43,802 1990's 43,674 45,012 45,123 47,344 47,851 46,459 47,578 48,251 46,778 50,052 2000's 50,888 53,118 53,794 55,121 55,324 55,479 55,259 57,320 58,125 59,549 2010's 60,854 61,582 63,477 64,772 67,460 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

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

    Residential Consumers (Number of Elements) Florida 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 442 444,848 446,690 452,544 1990's 457,648 467,221 471,863 484,816 497,777 512,365 521,674 532,790 542,770 556,628 2000's 571,972 590,221 603,690 617,373 639,014 656,069 673,122 682,996 679,265 674,090 2010's 675,551 679,199 686,994 694,210 703,535 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 124,759 123,454 121,243 126,060 122,573 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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

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

    U.S. 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 99,182 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 85,867 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 7,429 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 853,842 854,730 854,800 858,572 861,092 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 85,318 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 1,780 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 758,129 759,584 757,790 761,575 760,131 - = No Data Reported; -- = Not Applicable; NA = Not

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

    U.S. 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 58,611 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

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

    U.S. 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 - = No Data Reported; -- = Not

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

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

    Elements) Commercial Consumers (Number of Elements) West Virginia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 31,283 33,192 33,880 1990's 32,785 32,755 33,289 33,611 33,756 36,144 33,837 33,970 35,362 35,483 2000's 41,949 35,607 35,016 35,160 34,932 36,635 34,748 34,161 34,275 34,044 2010's 34,063 34,041 34,078 34,283 34,339 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

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

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

    Elements) Residential Consumers (Number of Elements) West Virginia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 351,024 349,765 349,347 1990's 349,673 350,489 352,463 352,997 352,929 353,629 358,049 362,432 359,783 362,292 2000's 360,471 363,126 361,171 359,919 358,027 374,301 353,292 347,433 347,368 343,837 2010's 344,131 342,069 340,256 340,102 338,652 - = No Data Reported; -- = Not

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

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

    Commercial Consumers (Number of Elements) Wisconsin Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 96,760 99,157 102,492 1990's 106,043 109,616 112,761 115,961 119,788 125,539 129,146 131,238 134,651 135,829 2000's 140,370 144,050 149,774 150,128 151,907 155,109 159,074 160,614 163,026 163,843 2010's 164,173 165,002 165,657 166,845 167,901 - = No Data Reported; -- = Not Applicable; NA = Not

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

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

    Industrial Consumers (Number of Elements) Wisconsin Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 7,411 7,218 7,307 1990's 7,154 7,194 7,396 7,979 7,342 6,454 5,861 8,346 9,158 9,756 2000's 9,630 9,864 9,648 10,138 10,190 8,484 5,707 5,999 5,969 6,396 2010's 6,413 6,376 6,581 6,677 7,000 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

    Residential Consumers (Number of Elements) Wisconsin Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,054,347 1,072,585 1,097,514 1990's 1,123,557 1,151,939 1,182,834 1,220,500 1,253,333 1,291,424 1,324,570 1,361,348 1,390,068 1,426,909 2000's 1,458,959 1,484,536 1,514,700 1,541,455 1,569,719 1,592,621 1,611,772 1,632,200 1,646,644 1,656,614 2010's 1,663,583 1,671,834 1,681,001 1,692,891

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

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

    Commercial Consumers (Number of Elements) Wyoming Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15,342 15,093 14,012 1990's 13,767 14,931 15,064 15,315 15,348 15,580 17,036 15,907 16,171 16,317 2000's 16,366 16,027 16,170 17,164 17,490 17,904 18,016 18,062 19,286 19,843 2010's 19,977 20,146 20,387 20,617 20,894 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

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

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

    Residential Consumers (Number of Elements) Wyoming Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 113,175 112,126 113,129 1990's 113,598 113,463 114,793 116,027 117,385 119,544 131,910 125,740 127,324 127,750 2000's 129,274 129,897 133,445 135,441 137,434 140,013 142,385 143,644 152,439 153,062 2010's 153,852 155,181 157,226 158,889 160,896 - = No Data Reported; -- = Not Applicable; NA = Not

  18. WIPP Documents - All documents by number

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

  19. ACCELERATING VERY FAST GAS IN THE SUPERNOVA IMPOSTOR SN 2009ip WITH JETS FROM A STELLAR COMPANION

    SciTech Connect (OSTI)

    Tsebrenko, Danny; Soker, Noam E-mail: soker@physics.technion.ac.il

    2013-11-10

    Using hydrodynamic numerical simulations we show that high-velocity ejecta with v ? 10{sup 4} km s{sup 1} in the outbursts of the supernova impostor SN 2009ip and similar luminous blue variable (LBV) stars can be explained by the interaction of fast jets, having v {sub jet} ? 2000-3000 km s{sup 1}, with a circumbinary shell (extended envelope). The density profile in the shell is very steep such that the shock wave, that is excited by the jets' interaction with the shell, accelerates to high velocities as it propagates outward. The amount of very fast ejecta is small, but sufficient to account for some absorption lines. Such an extended envelope can be formed from the binary interaction and/or the unstable phase of the LBV primary star. The jets themselves are launched by the more compact secondary star near periastron passages.

  20. Sensitivity in risk analyses with uncertain numbers.

    SciTech Connect (OSTI)

    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.

  1. ChIP-seq Accurately Predicts Tissue-Specific Activity of Enhancers

    SciTech Connect (OSTI)

    Visel, Axel; Blow, Matthew J.; Li, Zirong; Zhang, Tao; Akiyama, Jennifer A.; Holt, Amy; Plajzer-Frick, Ingrid; Shoukry, Malak; Wright, Crystal; Chen, Feng; Afzal, Veena; Ren, Bing; Rubin, Edward M.; Pennacchio, Len A.

    2009-02-01

    A major yet unresolved quest in decoding the human genome is the identification of the regulatory sequences that control the spatial and temporal expression of genes. Distant-acting transcriptional enhancers are particularly challenging to uncover since they are scattered amongst the vast non-coding portion of the genome. Evolutionary sequence constraint can facilitate the discovery of enhancers, but fails to predict when and where they are active in vivo. Here, we performed chromatin immunoprecipitation with the enhancer-associated protein p300, followed by massively-parallel sequencing, to map several thousand in vivo binding sites of p300 in mouse embryonic forebrain, midbrain, and limb tissue. We tested 86 of these sequences in a transgenic mouse assay, which in nearly all cases revealed reproducible enhancer activity in those tissues predicted by p300 binding. Our results indicate that in vivo mapping of p300 binding is a highly accurate means for identifying enhancers and their associated activities and suggest that such datasets will be useful to study the role of tissue-specific enhancers in human biology and disease on a genome-wide scale.

  2. 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

  3. The 17 GHz active region number

    SciTech Connect (OSTI)

    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.

  4. Verification Challenges at Low Numbers

    SciTech Connect (OSTI)

    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.

  5. ip_11.indd

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

    Intellectual Property: A Laboratory Asset FAQs of Protecting LANL's Intellectual Property A new method for fabricating microelectronics, Lasonix (a 2008 R&D 100 Award winner) can be used to form standard semiconductor microcircuits in vertical arrays, conductive interconnects, and hybrid integrated circuits in three dimensions. Shown are potential electric fi eld emitters for microvacuum electronic devices. How can my ideas produce value for the Laboratory beyond my programmatic

  6. THE DIVERSITY OF MASSIVE STAR OUTBURSTS. I. OBSERVATIONS OF SN2009ip, UGC 2773 OT2009-1, AND THEIR PROGENITORS

    SciTech Connect (OSTI)

    Foley, Ryan J.; Berger, Edo; Challis, Peter J.; Soderberg, Alicia M.; Fox, Ori; Levesque, Emily M.; Ivans, Inese I.; Rhoads, James E.

    2011-05-01

    Despite both being outbursts of luminous blue variables (LBVs), SN 2009ip and UGC 2773 OT2009-1 have very different progenitors, spectra, circumstellar environments, and possibly physical mechanisms that generated the outbursts. From pre-eruption Hubble Space Telescope images, we determine that SN 2009ip and UGC 2773 OT2009-1 have initial masses of {approx}> 60 and {approx}> 25 M{sub sun}, respectively. Optical spectroscopy shows that at peak, SN 2009ip had a 10,000 K photosphere and its spectrum was dominated by narrow H Balmer emission, similar to classical LBV giant outbursts, also known as 'supernova impostors'. The spectra of UGC 2773 OT2009-1, which also have narrow H{alpha} emission, are dominated by a forest of absorption lines, similar to an F-type supergiant. Blueshifted absorption lines corresponding to ejecta at a velocity of 2000-7000 km s{sup -1} are present in later spectra of SN 2009ip-an unprecedented observation for LBV outbursts, indicating that the event was the result of a supersonic explosion rather than a subsonic outburst. The velocity of the absorption lines increases between two epochs, suggesting that there were two explosions in rapid succession. A rapid fading and rebrightening event concurrent with the onset of the high-velocity absorption lines is consistent with the double-explosion model. A near-infrared excess is present in the spectra and photometry of UGC 2773 OT2009-1 that is consistent with {approx}2100 K dust emission. We compare the properties of these two events and place them in the context of other known massive star outbursts such as {eta} Car, NGC 300 OT2008-1, and SN 2008S. This qualitative analysis suggests that massive star outbursts have many physical differences that can manifest as the different observables seen in these two interesting objects.

  7. Document Number Q0029500 Introduction

    Office of Legacy Management (LM)

    Introduction 1.0 Introduction This Remedial Investigation (RI) AddendumRocused Feasibility Study (FFS) report updates the 1998 final RI and presents the results of a FFS conducted for Operable Unit (OU) 111, contaminated surface water and ground water, of the Monticello Mill Tailings Site (MMTS). These documents are combined to promote better reference between the updated RI information and the remedy comparisons of the FFS. This document is prepared by the U.S. Department of Energy (DOE) Grand

  8. California's Efforts for Advancing Ultrafine Particle Number...

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

    Efforts for Advancing Ultrafine Particle Number Measurements for Clean Diesel Exhaust California's Efforts for Advancing Ultrafine Particle Number Measurements for Clean Diesel...

  9. Identification of Export Control Classification Number - ITER

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

    Identification of Export Control Classification Number - ITER (April 2012) As the "Shipper of Record" please provide the appropriate Export Control Classification Number (ECCN) for...

  10. GEOCENTRIFUGE STUDIES OF FLOW AND TRANSPORT IN POROUS MEDIA, FINAL REPORT FOR GRANT NUMBER DE-FG02-03ER63567 TO THE UNIVERSITY OF IDAHO (RW SMITH), ENVIRONMENTAL MANAGEMENT SCIENCE PROGRAM PROJECT NUMBER 86598, COUPLED FLOW AND REACTIVITY IN VARIABLY SATURATED POROUS MEDIA

    SciTech Connect (OSTI)

    Robert W. Smith; Carl D. Palmer; Earl D. Mattson

    2007-06-15

    Improved models of contaminant migration in heterogeneous, variably saturated porous media are required to better define the long-term stewardship requirements for U.S. Department of Energy (DOE) lands and to assist in the design of effective vadose-zone barriers to contaminant migrations. The development of these improved models requires field and laboratory results to evaluate their efficacy. However, controlled laboratory experiments simulating vadose conditions can require extensive period of time, and often are conducted at condition near saturation rather than the much drier conditions common in many contaminated arid vadose zone sites. Collaborative research undertaken by the Idaho National Laboratory (INL) and the University of Idaho as part of this Environmental Management Science Program project focused on the development and evaluation of geocentrifuge techniques and equipment that allows vadose zone experiments to be conducted for relevant conditions in time frames not possible in conventional bench top experiments. A key and novel aspect of the research was the use of the 2-meter radius geocentrifuge capabilities at the Idaho National Laboratory to conduct unsaturated transport experiments. Specifically, the following activities were conducted ** Reviewing of the theory of unsaturated flow in the geocentrifuge to establish the range of centrifuge accelerations/experimental conditions and the translation of centrifuge results to 1 gravity applications. ** Designing, constructing, and testing of in-flight experimental apparatus allowing the replication of traditional bench top unsaturated transport experiments on the geocentrifuge. ** Performing unsaturated 1-dimenstional column geocentrifuge experiments using conservative tracers to evaluate the effects of increased centrifugal acceleration on derived transport properties and assessing the scaling relationships for these properties. Because the application of geocentrifuge techniques to vadose transport is in its infancy experimental apparatus such as pumps, flow meters, columns, fraction collectors, etc. that would reliably function under the increased self weight experienced on the centrifuge had to be developed and tested as part of this project. Although, we initially planed to conduct experiments using reactive tracer and 2-dimensional heterogeneities, the cost and time associated with designing, building, and testing of experimental apparatus limited our experimental program to conservative tracer experiments using 1-dimensional columns. The results we obtained in this study indicate that the geocentrifuge technique is a viable experimental method for the study of subsurface processes where gravitational acceleration is important. The geocentrifuge allows experiments to be completed more quickly than tests conducted at 1-g, can be used to experimentally address important scaling issues, and permits experiments under a range of conditions that would be difficult or impossible using conventional approaches. The application of the geocentrifuge approaches and associated models developed in this project allows more meaningful investigation of DOE relevant vadose-zone issues under scalable conditions in time frames previously not obtainable.

  11. Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number...

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

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

  12. Ohio Natural Gas Number of Gas and Gas Condensate Wells (Number...

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

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

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

    U.S. 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...

  14. Texas Natural Gas Number of Gas and Gas Condensate Wells (Number...

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

    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...

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

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

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

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

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

    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...

  17. Oregon Natural Gas Number of Gas and Gas Condensate Wells (Number...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  18. U.S. Natural Gas Number of Gas and Gas Condensate Wells (Number...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  19. Nevada Natural Gas Number of Gas and Gas Condensate Wells (Number...

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

    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...

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

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

    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...

  1. Marbled murrelet abundance and breeding activity at Naked Island, Prince William Sound, and Kachemak Bay, Alaska, before and after the Exxon Valdez oil spill. Bird study number 6. Exxon Valdez oil spill state/federal natural resource damage assessment final report

    SciTech Connect (OSTI)

    Kuletz, K.J.

    1994-08-01

    The author compared pre- and post-spill abundance and breeding activity of murrelets near the Naked Island group in central Prince William Sound, and in Kachemak Bay in lower Cook Inlet. Murrelet numbers at Naked Island were lower in 1989 than in 1978-1980 but not in 1990-1992. At Kachemak Bay, where oiling was minimal, murrelet densities did not change between 1988 and 1989. The results suggest that the murrelet population at Kachemak Bay, further removed temporally and spatially from the spill epicenter, was not affected as the Naked Island populations in 1989. Murrelet numbers were negatively correlated to numbers of boats at both study sites, and cleanup activities likely contributed to disruption in 1989.

  2. ARM - Measurement - Cloud particle number concentration

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

  3. Calculating Atomic Number Densities for Uranium

    Energy Science and Technology Software Center (OSTI)

    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.

  4. OMB Control Number: 1910-5165

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

    damages assessed under Contract Work Hours and Safety Standards Act: Page 1 OMB Control Number: 1910-5165 Expires: 04302015 SEMI-ANNUAL DAVIS-BACON ENFORCEMENT REPORT...

  5. Low Mach Number Models in Computational Astrophysics

    Broader source: All U.S. Department of Energy (DOE) Office 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 Models in Computational Astrophysics - Ann Almgren, Berkeley Lab Last edited: 2016-02-01 08:06:52

  6. Compendium of Experimental Cetane Number Data

    SciTech Connect (OSTI)

    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.

  7. Study Reveals Fuel Injection Timing Impact on Particle Number...

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

    expected to account for 60% of the U.S. market by 2016, and the technology offers fuel economy and CO 2 reduction benefits, it can have higher particulate matter (PM) mass and...

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

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

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

  9. Identification of Export Control Classification Number - ITER

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

    Identification 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

  10. Stockpile Stewardship Quarterly Volume 1, Number 4

    National Nuclear Security Administration (NNSA)

    1, Number 4 * February 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 1, Number 4 Inside this Issue 2 Applying Advanced Simulation Models to Neutron Tube Ion Extraction 3 Advanced Optical Cavities for Subcritical and Hydrodynamic Experiments 5 Progress Toward Ignition on the National Ignition Facility 7 Commissioning URSA Minor: The First LTD-Based Accelerator for Radiography 8 Publication

  11. Probing lepton number violation on three frontiers

    SciTech Connect (OSTI)

    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. Battling bird flu by the numbers

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

    Battling bird flu by the numbers Battling bird flu by the numbers Lab theorists have developed a mathematical tool that could help health experts and crisis managers determine in real time whether an emerging infectious disease such as avian influenza H5N1 is poised to spread globally. May 27, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience,

  13. Pennsylvania Number of Natural Gas Consumers

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

    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...

  14. The New Element Curium (Atomic Number 96)

    DOE R&D Accomplishments [OSTI]

    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.

  15. Washington Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    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...

  16. Minnesota Number of Natural Gas Consumers

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

    1,436,063 1,445,824 1,459,134 1,472,663 1997-2014 Commercial Number of Consumers 131,801 132,163 132,938 134,394 135,557 136,382 1987-2014 Sales 131,986 132,697 134,165 135,235...

  17. West Virginia Number of Natural Gas Consumers

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

    343,837 344,131 342,069 340,256 340,102 338,652 1987-2014 Sales 344,125 342,063 340,251 340,098 338,649 1997-2014 Transported 6 6 5 4 3 1997-2014 Commercial Number of Consumers...

  18. Connecticut Number of Natural Gas Consumers

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

    489,349 490,185 494,970 504,138 513,492 522,658 1986-2014 Sales 489,380 494,065 503,241 512,110 521,460 1997-2014 Transported 805 905 897 1,382 1,198 1997-2014 Commercial Number of...

  19. North Carolina Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    ,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...

  20. Maine Number of Natural Gas Consumers

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

    20,806 21,142 22,461 23,555 24,765 27,047 1987-2014 Sales 21,141 22,461 23,555 24,765 27,047 1997-2014 Transported 1 0 0 0 0 2010-2014 Commercial Number of Consumers 8,815 9,084...

  1. South Dakota Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    173,856 176,204 179,042 1997-2014 Commercial Number of Consumers 22,071 22,267 22,570 22,955 23,214 23,591 1987-2014 Sales 22,028 22,332 22,716 22,947 23,330 1998-2014...

  2. IMPACT OF CAPILLARY AND BOND NUMBERS ON RELATIVE PERMEABILITY

    SciTech Connect (OSTI)

    Kishore K. Mohanty

    2002-09-30

    Recovery and recovery rate of oil, gas and condensates depend crucially on their relative permeability. Relative permeability in turn depends on the pore structure, wettability and flooding conditions, which can be represented by a set of dimensionless groups including capillary and bond numbers. The effect of flooding conditions on drainage relative permeabilities is not well understood and is the overall goal of this project. This project has three specific objectives: to improve the centrifuge relative permeability method, to measure capillary and bond number effects experimentally, and to develop a pore network model for multiphase flows. A centrifuge has been built that can accommodate high pressure core holders and x-ray saturation monitoring. The centrifuge core holders can operate at a pore pressure of 6.9 MPa (1000 psi) and an overburden pressure of 17 MPa (2500 psi). The effect of capillary number on residual saturation and relative permeability in drainage flow has been measured. A pore network model has been developed to study the effect of capillary numbers and viscosity ratio on drainage relative permeability. Capillary and Reynolds number dependence of gas-condensate flow has been studied during well testing. A method has been developed to estimate relative permeability parameters from gas-condensate well test data.

  3. Rhode Island Number of Natural Gas Consumers

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

    24,846 225,204 225,828 228,487 231,763 233,786 1987-2014 Sales 225,204 225,828 228,487 231,763 233,786 1997-2014 Commercial Number of Consumers 22,988 23,049 23,177 23,359 23,742 23,934 1987-2014 Sales 21,507 21,421 21,442 21,731 21,947 1998-2014 Transported 1,542 1,756 1,917 2,011 1,987 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 467 454 468 432 490 551 1967-2014 Industrial Number of Consumers 260 249 245 248 271 266 1987-2014 Sales 57 53 56 62 62 1998-2014 Transported 192

  4. South Carolina Number of Natural Gas Consumers

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

    565,774 570,797 576,594 583,633 593,286 604,743 1987-2014 Sales 570,797 576,594 583,633 593,286 604,743 1997-2014 Commercial Number of Consumers 55,850 55,853 55,846 55,908 55,997 56,172 1987-2014 Sales 55,776 55,760 55,815 55,902 56,074 1998-2014 Transported 77 86 93 95 98 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 393 432 396 383 426 452 1967-2014 Industrial Number of Consumers 1,358 1,325 1,329 1,435 1,452 1,426 1987-2014 Sales 1,139 1,137 1,215 1,223 1,199 1998-2014

  5. Tennessee Number of Natural Gas Consumers

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

    ,083,573 1,085,387 1,089,009 1,084,726 1,094,122 1,106,681 1987-2014 Sales 1,085,387 1,089,009 1,084,726 1,094,122 1,106,681 1997-2014 Commercial Number of Consumers 127,704 127,914 128,969 130,139 131,091 131,001 1987-2014 Sales 127,806 128,866 130,035 130,989 130,905 1998-2014 Transported 108 103 104 102 96 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 406 439 404 345 411 438 1967-2014 Industrial Number of Consumers 2,717 2,702 2,729 2,679 2,581 2,595 1987-2014 Sales 2,340

  6. Texas Number of Natural Gas Consumers

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

    4,248,613 4,288,495 4,326,156 4,370,057 4,424,103 4,469,282 1987-2014 Sales 4,287,929 4,326,076 4,369,990 4,424,037 4,469,220 1997-2014 Transported 566 80 67 66 62 1997-2014 Commercial Number of Consumers 313,384 312,277 314,041 314,811 314,036 317,217 1987-2014 Sales 310,842 312,164 312,574 311,493 313,971 1998-2014 Transported 1,435 1,877 2,237 2,543 3,246 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 534 605 587 512 553 583 1967-2014 Industrial Number of Consumers 8,581

  7. Kentucky Number of Natural Gas Consumers

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

    754,761 758,129 759,584 757,790 761,575 760,131 1987-2014 Sales 728,940 730,602 730,184 736,011 735,486 1997-2014 Transported 29,189 28,982 27,606 25,564 24,645 1997-2014 Commercial Number of Consumers 83,862 84,707 84,977 85,129 85,999 85,318 1987-2014 Sales 80,541 80,392 80,644 81,579 81,026 1998-2014 Transported 4,166 4,585 4,485 4,420 4,292 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 423 435 407 361 435 469 1967-2014 Industrial Number of Consumers 1,715 1,742 1,705 1,720

  8. Louisiana Number of Natural Gas Consumers

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

    889,570 893,400 897,513 963,688 901,635 899,378 1987-2014 Sales 893,400 897,513 963,688 901,635 899,378 1997-2014 Transported 0 0 0 0 0 1997-2014 Commercial Number of Consumers 58,396 58,562 58,749 63,381 59,147 58,611 1987-2014 Sales 58,501 58,685 63,256 58,985 58,438 1998-2014 Transported 61 64 125 162 173 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 405 461 441 415 488 532 1967-2014 Industrial Number of Consumers 954 942 920 963 916 883 1987-2014 Sales 586 573 628 570 546

  9. Maryland Number of Natural Gas Consumers

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

    067,807 1,071,566 1,077,168 1,078,978 1,099,272 1,101,292 1987-2014 Sales 923,870 892,844 867,627 852,555 858,352 1997-2014 Transported 147,696 184,324 211,351 246,717 242,940 1997-2014 Commercial Number of Consumers 75,771 75,192 75,788 75,799 77,117 77,846 1987-2014 Sales 54,966 53,778 52,383 52,763 53,961 1998-2014 Transported 20,226 22,010 23,416 24,354 23,885 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 912 898 891 846 923 961 1967-2014 Industrial Number of Consumers

  10. Mississippi Number of Natural Gas Consumers

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

    437,715 436,840 442,479 442,840 445,589 444,423 1987-2014 Sales 436,840 439,511 440,171 442,974 444,423 1997-2014 Transported 0 2,968 2,669 2,615 0 2010-2014 Commercial Number of Consumers 50,713 50,537 50,636 50,689 50,153 50,238 1987-2014 Sales 50,503 50,273 50,360 49,829 50,197 1998-2014 Transported 34 363 329 324 41 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 377 419 400 352 388 442 1967-2014 Industrial Number of Consumers 1,141 980 982 936 933 943 1987-2014 Sales 860 853

  11. Missouri Number of Natural Gas Consumers

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

    348,781 1,348,549 1,342,920 1,389,910 1,357,740 1,363,286 1987-2014 Sales 1,348,549 1,342,920 1,389,910 1,357,740 1,363,286 1997-2014 Transported 0 0 0 0 0 2010-2014 Commercial Number of Consumers 140,633 138,670 138,214 144,906 142,495 143,024 1987-2014 Sales 137,342 136,843 143,487 141,047 141,477 1998-2014 Transported 1,328 1,371 1,419 1,448 1,547 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 437 441 451 378 453 510 1967-2014 Industrial Number of Consumers 3,573 3,541 3,307

  12. Montana Number of Natural Gas Consumers

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

    255,472 257,322 259,046 259,957 262,122 265,849 1987-2014 Sales 256,841 258,579 259,484 261,637 265,323 1997-2014 Transported 481 467 473 485 526 2005-2014 Commercial Number of Consumers 33,731 34,002 34,305 34,504 34,909 35,205 1987-2014 Sales 33,652 33,939 33,967 34,305 34,558 1998-2014 Transported 350 366 537 604 647 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 699 602 651 557 601 612 1967-2014 Industrial Number of Consumers 396 384 381 372 372 369 1987-2014 Sales 312 304

  13. Utah Number of Natural Gas Consumers

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

    810,442 821,525 830,219 840,687 854,389 869,052 1987-2014 Sales 821,525 830,219 840,687 854,389 869,052 1997-2014 Commercial Number of Consumers 60,781 61,976 62,885 63,383 64,114 65,134 1987-2014 Sales 61,929 62,831 63,298 63,960 64,931 1998-2014 Transported 47 54 85 154 203 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 609 621 643 558 646 586 1967-2014 Industrial Number of Consumers 293 293 286 302 323 328 1987-2014 Sales 205 189 189 187 178 1998-2014 Transported 88 97 113

  14. Vermont Number of Natural Gas Consumers

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

    37,242 38,047 38,839 39,917 41,152 42,231 1987-2014 Sales 38,047 38,839 39,917 41,152 42,231 1997-2014 Commercial Number of Consumers 5,085 5,137 5,256 5,535 5,441 5,589 1987-2014 Sales 5,137 5,256 5,535 5,441 5,589 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 488 464 472 418 873 864 1967-2014 Industrial Number of Consumers 36 38 36 38 13 13 1987-2014 Sales 37 35 38 13 13 1998-2014 Transported 1 1 0 0 0 1999-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 80,290

  15. Virginia Number of Natural Gas Consumers

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

    1,124,717 1,133,103 1,145,049 1,155,636 1,170,161 1,183,894 1987-2014 Sales 1,076,080 1,081,581 1,088,340 1,102,646 1,114,224 1997-2014 Transported 57,023 63,468 67,296 67,515 69,670 1997-2014 Commercial Number of Consumers 95,704 95,401 96,086 96,503 97,499 98,741 1987-2014 Sales 85,521 85,522 85,595 86,618 87,470 1998-2014 Transported 9,880 10,564 10,908 10,881 11,271 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 707 722 669 624 699 731 1967-2014 Industrial Number of

  16. Washington Number of Natural Gas Consumers

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

    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 99,674 100,038 100,939 101,730 1987-2014 Sales 99,166 99,584 99,930 100,819 101,606 1998-2014 Transported 65 90 108 120 124 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 563 517 567 534 553 535 1967-2014 Industrial Number of Consumers 3,428 3,372 3,353 3,338 3,320 3,355 1987-2014 Sales 3,056 3,031

  17. Wisconsin Number of Natural Gas Consumers

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

    656,614 1,663,583 1,671,834 1,681,001 1,692,891 1,705,907 1987-2014 Sales 1,663,583 1,671,834 1,681,001 1,692,891 1,705,907 1997-2014 Transported 0 0 0 0 0 1997-2014 Commercial Number of Consumers 163,843 164,173 165,002 165,657 166,845 167,901 1987-2014 Sales 163,060 163,905 164,575 165,718 166,750 1998-2014 Transported 1,113 1,097 1,082 1,127 1,151 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 558 501 528 465 596 637 1967-2014 Industrial Number of Consumers 6,396 6,413 6,376

  18. Wyoming Number of Natural Gas Consumers

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

    153,062 153,852 155,181 157,226 158,889 160,896 1987-2014 Sales 117,735 118,433 118,691 117,948 118,396 1997-2014 Transported 36,117 36,748 38,535 40,941 42,500 1997-2014 Commercial Number of Consumers 19,843 19,977 20,146 20,387 20,617 20,894 1987-2014 Sales 14,319 14,292 14,187 14,221 14,452 1998-2014 Transported 5,658 5,854 6,200 6,396 6,442 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 523 558 580 514 583 583 1967-2014 Industrial Number of Consumers 130 120 123 127 132 131

  19. Nebraska Number of Natural Gas Consumers

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

    512,551 510,776 514,481 515,338 527,397 522,408 1987-2014 Sales 442,413 446,652 447,617 459,712 454,725 1997-2014 Transported 68,363 67,829 67,721 67,685 67,683 1997-2014 Commercial Number of Consumers 56,454 56,246 56,553 56,608 58,005 57,191 1987-2014 Sales 40,348 40,881 41,074 42,400 41,467 1998-2014 Transported 15,898 15,672 15,534 15,605 15,724 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 563 569 568 468 555 567 1967-2014 Industrial Number of Consumers 7,863 7,912 7,955

  20. Nevada Number of Natural Gas Consumers

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

    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 42,338 1987-2014 Sales 40,655 40,786 41,023 41,536 42,163 1998-2014 Transported 146 158 169 174 175 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 715 722 751 704 748 687 1967-2014 Industrial Number of Consumers 192 184 177 177 195 218 1987-2014 Sales 152 147 146 162 183 1998-2014 Transported 32 30 31

  1. New Hampshire Number of Natural Gas Consumers

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

    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 17,186 17,758 17,298 17,421 1987-2014 Sales 15,004 15,198 15,429 14,685 14,527 1998-2014 Transported 1,641 1,988 2,329 2,613 2,894 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 587 505 517 458 532 540 1967-2014 Industrial Number of Consumers 155 306 362 466 403 326 1987-2014 Sales 31 25 30 35 45

  2. New Mexico Number of Natural Gas Consumers

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

    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 Consumers 48,846 48,757 49,406 48,914 50,163 55,689 1987-2014 Sales 45,679 46,104 45,298 46,348 51,772 1998-2014 Transported 3,078 3,302 3,616 3,815 3,917 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 506 516 507 509 534 461 1967-2014 Industrial Number of Consumers 471 438 360 121 123 116 1987-2014 Sales 390

  3. North Dakota Number of Natural Gas Consumers

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

    22,065 123,585 125,392 130,044 133,975 137,972 1987-2014 Sales 123,585 125,392 130,044 133,975 137,972 1997-2014 Transported 0 0 0 0 0 2004-2014 Commercial Number of Consumers 17,632 17,823 18,421 19,089 19,855 20,687 1987-2014 Sales 17,745 18,347 19,021 19,788 20,623 1998-2014 Transported 78 74 68 67 64 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 623 578 596 543 667 677 1967-2014 Industrial Number of Consumers 279 307 259 260 266 269 1987-2014 Sales 255 204 206 211 210

  4. Oklahoma Number of Natural Gas Consumers

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

    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 94,314 92,430 93,903 94,537 95,385 96,004 1987-2014 Sales 88,217 89,573 90,097 90,861 91,402 1998-2014 Transported 4,213 4,330 4,440 4,524 4,602 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 439 452 430 382 464 489 1967-2014 Industrial Number of Consumers 2,618 2,731 2,733 2,872 2,958 3,063 1987-2014

  5. Oregon Number of Natural Gas Consumers

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

    675,582 682,737 688,681 693,507 700,211 707,010 1987-2014 Sales 682,737 688,681 693,507 700,211 707,010 1997-2014 Commercial Number of Consumers 76,893 77,370 77,822 78,237 79,276 80,480 1987-2014 Sales 77,351 77,793 78,197 79,227 80,422 1998-2014 Transported 19 29 40 49 58 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 387 352 390 368 386 353 1967-2014 Industrial Number of Consumers 1,051 1,053 1,066 1,076 1,085 1,099 1987-2014 Sales 821 828 817 821 839 1998-2014 Transported

  6. Colorado Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    ,622,434 1,634,587 1,645,716 1,659,808 1,672,312 1,690,581 1986-2014 Sales 1,634,582 1,645,711 1,659,803 1,672,307 1,690,576 1997-2014 Transported 5 5 5 5 5 1997-2014 Commercial Number of Consumers 145,624 145,460 145,837 145,960 150,145 150,235 1986-2014 Sales 145,236 145,557 145,563 149,826 149,921 1998-2014 Transported 224 280 397 319 314 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 429 396 383 355 392 386 1967-2014 Industrial Number of Consumers 5,084 6,232 6,529 6,906

  7. Delaware Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    9,006 150,458 152,005 153,307 155,627 158,502 1986-2014 Sales 150,458 152,005 153,307 155,627 158,502 1997-2014 Commercial Number of Consumers 12,839 12,861 12,931 12,997 13,163 13,352 1986-2014 Sales 12,706 12,656 12,644 12,777 12,902 1998-2014 Transported 155 275 353 386 450 1999-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 910 948 810 772 849 890 1967-2014 Industrial Number of Consumers 112 114 129 134 138 141 1987-2014 Sales 40 35 29 28 28 1998-2014 Transported 74 94 105 110

  8. Florida Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    674,090 675,551 679,199 686,994 694,210 703,535 1986-2014 Sales 661,768 664,564 672,133 679,191 687,766 1997-2014 Transported 13,783 14,635 14,861 15,019 15,769 1997-2014 Commercial Number of Consumers 59,549 60,854 61,582 63,477 64,772 67,460 1986-2014 Sales 41,750 41,068 41,102 40,434 41,303 1998-2014 Transported 19,104 20,514 22,375 24,338 26,157 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 846 888 869 861 926 929 1967-2014 Industrial Number of Consumers 607 581 630 507 528

  9. Georgia Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    1,744,934 1,740,587 1,740,006 1,739,543 1,805,425 1,755,847 1986-2014 Sales 321,290 321,515 319,179 377,652 315,562 1997-2014 Transported 1,419,297 1,418,491 1,420,364 1,427,773 1,440,285 1997-2014 Commercial Number of Consumers 127,347 124,759 123,454 121,243 126,060 122,573 1986-2014 Sales 32,318 32,162 31,755 36,556 31,845 1998-2014 Transported 92,441 91,292 89,488 89,504 90,728 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 421 482 458 428 454 482 1967-2014 Industrial Number

  10. Hawaii Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    25,466 25,389 25,305 25,184 26,374 28,919 1987-2014 Sales 25,389 25,305 25,184 26,374 28,919 1998-2014 Commercial Number of Consumers 2,535 2,551 2,560 2,545 2,627 2,789 1987-2014 Sales 2,551 2,560 2,545 2,627 2,789 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 691 697 691 727 713 692 1980-2014 Industrial Number of Consumers 25 24 24 22 22 23 1997-2014 Sales 24 24 22 22 23 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 13,753 14,111 15,087 16,126 17,635 17,

  11. Idaho Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    42,277 346,602 350,871 353,963 359,889 367,394 1987-2014 Sales 346,602 350,871 353,963 359,889 367,394 1997-2014 Commercial Number of Consumers 38,245 38,506 38,912 39,202 39,722 40,229 1987-2014 Sales 38,468 38,872 39,160 39,681 40,188 1998-2014 Transported 38 40 42 41 41 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 412 390 433 404 465 422 1967-2014 Industrial Number of Consumers 187 184 178 179 183 189 1987-2014 Sales 108 103 105 109 115 1998-2014 Transported 76 75 74 74 74

  12. Iowa Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    875,781 879,713 883,733 892,123 895,414 900,420 1987-2014 Sales 879,713 883,733 892,123 895,414 900,420 1997-2014 Commercial Number of Consumers 98,416 98,396 98,541 99,113 99,017 99,182 1987-2014 Sales 96,996 97,075 97,580 97,334 97,409 1998-2014 Transported 1,400 1,466 1,533 1,683 1,773 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 576 525 526 442 572 579 1967-2014 Industrial Number of Consumers 1,626 1,528 1,465 1,469 1,491 1,572 1987-2014 Sales 1,161 1,110 1,042 1,074 1,135

  13. Kansas Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    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 84,715 84,446 84,874 84,673 84,969 85,867 1987-2014 Sales 78,310 78,559 78,230 78,441 79,231 1998-2014 Transported 6,136 6,315 6,443 6,528 6,636 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 384 377 378 301 391 425 1967-2014 Industrial Number of Consumers 7,793 7,664 7,954 7,970 7,877 7,429 1987-2014

  14. Alabama Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    785,005 778,985 772,892 767,396 765,957 769,418 1986-2014 Sales 778,985 772,892 767,396 765,957 769,418 1997-2014 Transported 0 0 0 0 0 1997-2014 Commercial Number of Consumers 67,674 68,163 67,696 67,252 67,136 67,806 1986-2014 Sales 68,017 67,561 67,117 67,006 67,677 1998-2014 Transported 146 135 135 130 129 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 359 397 371 320 377 406 1967-2014 Industrial Number of Consumers 3,057 3,039 2,988 3,045 3,143 3,244 1986-2014 Sales 2,758

  15. Alaska Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    120,124 121,166 121,736 122,983 124,411 126,416 1986-2014 Sales 121,166 121,736 122,983 124,411 126,416 1997-2014 Commercial Number of Consumers 13,215 12,998 13,027 13,133 13,246 13,399 1986-2014 Sales 12,673 12,724 13,072 13,184 13,336 1998-2014 Transported 325 303 61 62 63 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 1,258 1,225 1,489 1,515 1,411 1,338 1967-2014 Industrial Number of Consumers 3 3 5 3 3 1 1987-2014 Sales 2 2 3 2 1 1998-2014 Transported 1 3 0 1 0 1998-2014

  16. Arizona Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    ,130,047 1,138,448 1,146,286 1,157,688 1,172,003 1,186,794 1986-2014 Sales 1,138,448 1,146,280 1,157,682 1,171,997 1,186,788 1997-2014 Transported 0 6 6 6 6 1997-2014 Commercial Number of Consumers 57,191 56,676 56,547 56,532 56,585 56,649 1986-2014 Sales 56,510 56,349 56,252 56,270 56,331 1998-2014 Transported 166 198 280 315 318 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 563 564 577 558 581 538 1967-2014 Industrial Number of Consumers 390 368 371 379 383 386 1987-2014

  17. Arkansas Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    557,355 549,970 551,795 549,959 549,764 549,034 1986-2014 Sales 549,970 551,795 549,959 549,764 549,034 1997-2014 Commercial Number of Consumers 69,043 67,987 67,815 68,765 68,791 69,011 1986-2014 Sales 67,676 67,454 68,151 68,127 68,291 1998-2014 Transported 311 361 614 664 720 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 527 592 590 603 692 734 1967-2014 Industrial Number of Consumers 1,025 1,079 1,133 990 1,020 1,009 1986-2014 Sales 580 554 523 513 531 1998-2014 Transported

  18. Volume, Number of Shipments Surpass Goals

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

    shatters records in first year of accelerated shipping effort October 3, 2012 Los Alamos National Laboratory shatters records in first year of accelerated shipping effort Volume, Number of Shipments Surpass Goals LOS ALAMOS, NEW MEXICO, October 3, 2012-In the first year of an effort to accelerate shipments of transuranic (TRU) waste to the Waste Isolation Pilot Plant (WIPP), Los Alamos National Laboratory shattered its own record with 59 more shipments than planned, and became one of the largest

  19. Low Mach Number Models in Computational Astrophysics

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

    In memoriam: Michael Welcome 1957 - 2014 RIP Almgren CCSE Low Mach Number Models in Computational Astrophysics Ann Almgren Center for Computational Sciences and Engineering Lawrence Berkeley National Laboratory NUG 2014: NERSC@40 February 4, 2014 Collaborators: John Bell, Chris Malone, Andy Nonaka, Stan Woosley, Michael Zingale Almgren CCSE Introduction We often associate astrophysics with explosive phenomena: novae supernovae gamma-ray bursts X-ray bursts Type Ia Supernovae Largest

  20. Notices Total Estimated Number of Annual

    Energy Savers [EERE]

    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

  1. U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Number of

  2. Property:Number of Plants Included in Planned Estimate | Open...

    Open Energy Info (EERE)

    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...

  3. Property:NumberOfLEDSTools | Open Energy Information

    Open Energy Info (EERE)

    Name NumberOfLEDSTools Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLEDSTools&oldid322418" Feedback Contact needs updating Image...

  4. Property:Number of Color Cameras | Open Energy Information

    Open Energy Info (EERE)

    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...

  5. Health Code Number (HCN) Development Procedure

    SciTech Connect (OSTI)

    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.

  6. The numbers will follow | Jefferson Lab

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

    The numbers will follow September 26, 2008 As all of you well know, the safety performance of Jefferson Lab, our laboratory, has been nothing short of stellar over the past couple of years. To cap it all, you were subjected to what is usually rated as the toughest of the sit-down examinations, the HSS audit. Not only did you exceed expectations, but you did so by a large margin. A basis for this great result, as documented by the HSS team, was the engagement and commitment of the workforce, the

  7. Mo Year Report Period: EIA ID NUMBER:

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

    Mo Year Report Period: EIA ID NUMBER: http://www.eia.gov/survey/form/eia_14/instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https://signon.eia.doe.gov/upload/noticeoog.jsp Electronic Transmission: The PC Electronic Zip Code - Data Reporting Option (PEDRO) is available. If interested in software, call (202) 586-9659. Email form to: OOG.SURVEYS@eia.doe.gov - - - - Fax form to: (202) 586-9772 Mail form to: Oil & Gas Survey Email address: U.S.

  8. Experimental Stations by Number | Stanford Synchrotron Radiation

    Broader source: All U.S. Department of Energy (DOE) Office 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 1000-40000 eV Ryan Davis

  9. OMB Control Number: 1910-5165

    Energy Savers [EERE]

    OMB Control Number: 1910-5165 Expires: xx/xx/201x SEMI-ANNUAL DAVIS-BACON ENFORCEMENT REPORT Please submit this Semi-Annual Davis-Bacon Enforcement Report to your site DOE/NNSA Contractor Human Resource Division (CHRD) Office. If you do not have a DOE/NNSA CHRD Office, please submit the report to: DBAEnforcementReports@hq.doe.gov. The following questions regarding enforcement activity (Davis-Bacon and Related Acts) by this Agency are required by 29 CFR, Part 5.7(b), and Department of Labor, All

  10. What's Behind the Numbers? | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    What's Behind the Numbers? Dr. Richard Newell Dr. Richard Newell What does this mean for me? New website shows data on the why's, when's and how's of crude oil prices. Among the most visible prices that consumers may see on a daily basis are the ones found on the large signs at the gasoline stations alongside our streets and highways. The biggest single factor affecting gasoline prices is the cost of crude oil, the main raw material for gasoline production, which accounts for well over half the

  11. Arizona Natural Gas Number of Gas and Gas Condensate Wells (Number of

    U.S. 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 5 5 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  12. Michigan Number of Natural Gas Consumers

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

    3,169,026 3,152,468 3,153,895 3,161,033 3,180,349 3,192,807 1987-2014 Sales 2,952,550 2,946,507 2,939,693 2,950,315 2,985,315 1997-2014 Transported 199,918 207,388 221,340 230,034 207,492 1997-2014 Commercial Number of Consumers 252,017 249,309 249,456 249,994 250,994 253,127 1987-2014 Sales 217,325 213,995 212,411 213,532 219,240 1998-2014 Transported 31,984 35,461 37,583 37,462 33,887 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 649 611 656 578 683 736 1967-2014 Industrial

  13. New Jersey Number of Natural Gas Consumers

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

    2,635,324 2,649,282 2,659,205 2,671,308 2,686,452 2,705,274 1987-2014 Sales 2,556,514 2,514,492 2,467,520 2,428,664 2,482,281 1997-2014 Transported 92,768 144,713 203,788 257,788 222,993 1997-2014 Commercial Number of Consumers 234,125 234,158 234,721 237,602 236,746 240,083 1987-2014 Sales 200,680 196,963 192,913 185,030 186,591 1998-2014 Transported 33,478 37,758 44,689 51,716 53,492 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 771 775 817 735 726 842 1967-2014 Industrial

  14. Ohio Number of Natural Gas Consumers

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

    3,253,184 3,240,619 3,236,160 3,244,274 3,271,074 3,283,869 1987-2014 Sales 1,418,217 1,352,292 855,055 636,744 664,015 1997-2014 Transported 1,822,402 1,883,868 2,389,219 2,634,330 2,619,854 1997-2014 Commercial Number of Consumers 270,596 268,346 268,647 267,793 269,081 269,758 1987-2014 Sales 92,621 85,877 51,308 35,966 37,035 1998-2014 Transported 175,725 182,770 216,485 233,115 232,723 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 594 583 601 543 625 679 1967-2014

  15. California Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    0,510,950 10,542,584 10,625,190 10,681,916 10,754,908 10,781,720 1986-2014 Sales 10,469,734 10,545,585 10,547,706 10,471,814 10,372,973 1997-2014 Transported 72,850 79,605 134,210 283,094 408,747 1997-2014 Commercial Number of Consumers 441,806 439,572 440,990 442,708 444,342 443,115 1986-2014 Sales 399,290 390,547 387,760 387,806 385,878 1998-2014 Transported 40,282 50,443 54,948 56,536 57,237 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 561 564 558 572 574 536 1967-2014

  16. Illinois Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    ,839,438 3,842,206 3,855,942 3,878,806 3,838,120 3,868,501 1987-2014 Sales 3,568,120 3,594,047 3,605,796 3,550,217 3,570,339 1997-2014 Transported 274,086 261,895 273,010 287,903 298,162 1997-2014 Commercial Number of Consumers 294,226 291,395 293,213 297,523 282,743 294,391 1987-2014 Sales 240,197 241,582 244,480 225,913 235,097 1998-2014 Transported 51,198 51,631 53,043 56,830 59,294 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 757 680 735 632 816 837 1967-2014 Industrial

  17. Contractor: Contract Number: Contract Type: Total Estimated

    Office of Environmental Management (EM)

    Contract Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Paid FY2004 $294,316 FY2005 $820,074 FY2006 $799,449 FY2007 $877,898 FY2008 $866,608 FY2009 $886,404 FY2010 $800,314 FY2011 $871,280 FY2012 $824,517 FY2013 Cumulative Fee Paid $7,040,860 $820,074 $799,449 $877,898 $916,130 $886,608 Computer Sciences Corporation DE-AC06-04RL14383 $895,358 $899,230 $907,583 Cost Plus Award Fee $134,100,336 $8,221,404 Fee Available Contract Period: Fee Information Minimum

  18. IP_Climate_Poster 121312

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

    le 2011 2012 In the graph above, the mean (gray line) and 90th, 75th, 25th, and 10th percentiles (light to dark gray shaded areas) represent the his- torical, 19-year baseline of...

  19. IP_Climate_Poster 121312

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

    671 Approved for public release; distribution is unlimited. Los Alamos National Laboratory, an affirmative action/equal opportunity employer, is operated by the Los Alamos National Security, LLC for the National Nuclear Security Administration of the U.S. Department of Energy under contract DE-AC52-06NA25396. By acceptance of this article, the publisher recognizes that the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this

  20. Dynaically Responsive IP Window Coatings

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

    Kyle J. Alvine, kyle.alvine@pnnl.gov Pacific Northwest National Laboratory Dynamically Responsive IR Window Coatings 2014 Building Technologies Office Peer Review 2 Project Summary Timeline: Start date: 10/1/2013 (NEW PROJECT) PPG subcontract start: 1/10/2014 Planned end date: 9/30/2015 Key Milestones 1. Milestone 1 (9/30/14) - Go/No Go to demonstrate lab scale dynamic IR responsive coating with 20% NIR Δ and average (visible transmittance) VT ≥ 50%, with T switch range of 30-90°C. 2.

  1. U.S. Natural Gas Number of Commercial Consumers - Sales (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) - Sales (Number of Elements) U.S. Natural Gas Number of Commercial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,823,842 4,599,494 2000's 4,576,873 4,532,034 4,588,964 4,662,853 4,644,363 4,698,626 4,733,822 2010's 4,584,884 4,556,220 4,518,745 4,491,326 4,533,729 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. U.S. Natural Gas Number of Commercial Consumers - Transported (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Commercial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 220,655 410,695 2000's 433,944 464,412 475,420 489,324 495,586 499,402 539,557 2010's 716,692 763,597 837,652 881,196 885,257 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release

  3. U.S. Natural Gas Number of Industrial Consumers - Sales (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Sales (Number of Elements) U.S. Natural Gas Number of Industrial Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 182,424 157,050 2000's 157,806 152,974 143,177 142,816 151,386 146,450 135,070 2010's 129,119 124,552 121,821 123,124 122,182 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  4. U.S. Natural Gas Number of Industrial Consumers - Transported (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Industrial Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49,014 71,281 2000's 75,826 64,052 62,738 62,698 57,672 59,773 58,760 2010's 63,611 64,749 67,551 69,164 69,953 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  5. U.S. Natural Gas Number of Residential Consumers - Sales (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Sales (Number of Elements) U.S. Natural Gas Number of Residential Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 55,934,175 56,520,482 56,023,710 2000's 56,261,031 56,710,548 57,267,445 57,815,669 58,524,797 59,787,524 60,129,047 2010's 60,267,648 60,408,842 60,010,723 59,877,464 60,222,681 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  6. U.S. Natural Gas Number of Residential Consumers - Transported (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Transported (Number of Elements) U.S. Natural Gas Number of Residential Consumers - Transported (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 252,783 801,264 2,199,519 2000's 2,978,319 3,576,181 3,839,809 4,055,781 3,971,337 3,829,303 4,037,233 2010's 5,274,697 5,531,680 6,364,411 6,934,929 7,005,081 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  7. Montana Natural Gas Number of Gas and Gas Condensate Wells (Number of

    U.S. 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 6,477 6,240 5,754 5,754 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  8. New Jersey Natural Gas Number of Commercial Consumers (Number of Elements)

    U.S. 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 - = No Data Reported; -- = Not Applicable; NA = Not

  9. New Jersey Natural Gas Number of Industrial Consumers (Number of Elements)

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

    Industrial Consumers (Number of Elements) New Jersey Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6,265 6,123 6,079 1990's 5,976 8,444 11,474 11,224 10,608 10,362 10,139 17,625 16,282 10,089 2000's 9,686 9,247 8,473 9,027 8,947 8,500 8,245 8,036 7,680 7,871 2010's 7,505 7,391 7,290 7,216 7,157 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. New Jersey Natural Gas Number of Residential Consumers (Number of Elements)

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

    Residential Consumers (Number of Elements) New Jersey 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 1,869,903 1,918,185 1,950,165 1990's 1,982,136 2,005,020 2,032,115 2,060,511 2,089,911 2,123,323 2,147,622 2,193,629 2,252,248 2,245,904 2000's 2,364,058 2,466,771 2,434,533 2,562,856 2,582,714 2,540,283 2,578,191 2,609,788 2,601,051 2,635,324 2010's 2,649,282 2,659,205 2,671,308 2,686,452

  11. New Mexico Natural Gas Number of Commercial Consumers (Number of Elements)

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

    Commercial Consumers (Number of Elements) New Mexico 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 36,444 36,940 36,960 1990's 38,026 38,622 40,312 40,166 39,846 38,099 37,796 38,918 42,067 43,834 2000's 44,164 44,306 45,469 45,491 45,961 47,745 47,233 48,047 49,235 48,846 2010's 48,757 49,406 48,914 50,163 55,689 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  12. New Mexico Natural Gas Number of Gas and Gas Condensate Wells (Number of

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

    Elements) Gas and Gas Condensate Wells (Number of Elements) New 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 1980's 17,087 1990's 17,124 20,021 18,040 20,846 23,292 23,510 24,134 27,421 28,200 26,007 2000's 33,948 35,217 35,873 37,100 38,574 40,157 41,634 42,644 44,241 44,784 2010's 44,748 32,302 28,206 27,073 27,957 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  13. New Mexico Natural Gas Number of Industrial Consumers (Number of Elements)

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

    Industrial Consumers (Number of Elements) New Mexico 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 1,703 1,668 1,653 1990's 1,407 1,337 141 152 1,097 1,065 1,365 1,366 1,549 1,482 2000's 1,517 1,875 1,356 1,270 1,164 988 1,062 470 383 471 2010's 438 360 121 123 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  14. New Mexico Natural Gas Number of Residential Consumers (Number of Elements)

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

    Residential Consumers (Number of Elements) New Mexico 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 348,759 356,192 361,521 1990's 369,451 379,472 389,063 397,681 409,095 421,896 428,621 443,167 454,065 473,375 2000's 479,894 485,969 496,577 498,852 509,119 530,277 533,971 547,512 556,905 560,479 2010's 559,852 570,637 561,713 572,224 614,313 - = No Data Reported; -- = Not Applicable; NA = Not

  15. New York Natural Gas Number of Industrial Consumers (Number of Elements)

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

    Industrial Consumers (Number of Elements) New York Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 23,276 24,654 27,426 1990's 25,008 28,837 28,198 23,833 21,833 22,484 15,300 23,099 5,294 6,136 2000's 6,553 6,501 3,068 2,984 2,963 3,752 3,642 7,484 7,080 6,634 2010's 6,236 6,609 5,910 6,311 6,313 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  16. U.S. Natural Gas Number of Commercial Consumers (Number of Elements)

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

    Commercial Consumers (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 5,418,986 - =

  17. U.S. Natural Gas Number of Industrial Consumers (Number of Elements)

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

    Industrial Consumers (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 192,730 189,301 189,372 192,288 192,135 - = No Data Reported; -- = Not Applicable; NA = Not

  18. U.S. Natural Gas Number of Residential Consumers (Number of Elements)

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

    Residential Consumers (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

  19. California Natural Gas Number of Gas and Gas Condensate Wells (Number of

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

    Elements) Gas and Gas Condensate Wells (Number of Elements) California Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 1,214 1990's 1,162 1,377 1,126 1,092 1,261 997 978 930 847 1,152 2000's 1,169 1,244 1,232 1,249 1,272 1,356 1,451 1,540 1,645 1,643 2010's 1,580 1,308 1,423 1,335 1,118 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  20. District of Columbia Natural Gas Number of Commercial Consumers (Number of

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

    Elements) Commercial Consumers (Number of Elements) District of Columbia Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 14,683 11,370 11,354 1990's 11,322 11,318 11,206 11,133 11,132 11,089 10,952 10,874 10,658 12,108 2000's 11,106 10,816 10,870 10,565 10,406 10,381 10,410 9,915 10,024 10,288 2010's 9,879 10,050 9,771 9,963 10,049 - = No Data Reported; -- = Not Applicable; NA = Not

  1. District of Columbia Natural Gas Number of Residential Consumers (Number of

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

    Elements) Residential Consumers (Number of Elements) District of Columbia Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 134 130,748 134,758 134,837 1990's 136,183 136,629 136,438 135,986 135,119 135,299 135,215 134,807 132,867 137,206 2000's 138,252 138,412 143,874 136,258 138,134 141,012 141,953 142,384 142,819 143,436 2010's 144,151 145,524 145,938 146,712 147,877 - = No Data Reported; --

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

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

    Elements) Gas and Gas Condensate Wells (Number of Elements) Kansas Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 13,935 1990's 16,980 17,948 18,400 19,472 19,365 22,020 21,388 21,500 21,000 17,568 2000's 15,206 15,357 16,957 17,387 18,120 18,946 19,713 19,713 17,862 21,243 2010's 22,145 25,758 24,697 23,792 24,354 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  3. Project Registration Number Assignments (Active) | Department of Energy

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

    Project Registration Number Assignments (Active) Project Registration Number Assignments (Active) As of: October 2015 Provides a table of Project Registration Number Assignments (Active) PDF icon Project Registration Number Assignment (Active) More Documents & Publications Project Registration Number Assignments (Completed) All Active DOE Technical Standards Document Active Project Justification Statement For Additional Information Contact: Jeffrey Feit phone: 301-903-0471 e-mail:

  4. Project Registration Number Assignments (Completed) | Department of Energy

    Energy Savers [EERE]

    Registration Number Assignments (Completed) Project Registration Number Assignments (Completed) As of: March 2016 Provides a table of Project Registration Number Assignments (Completed) PDF icon Project Registration Number Assignments (Completed) More Documents & Publications All Active DOE Technical Standards Document Project Registration Number Assignments (Active) The Proposed Reaffirmations and Cancellations For Additional Information Contact: Jeffrey Feit phone: 301-903-0471 e-mail:

  5. Quarkyonic Matter and Quark Number Scaling of Elliptic Flow

    SciTech Connect (OSTI)

    Csernai, L. P.; Zschocke, S.; Horvat, Sz.; Cheng Yun; Mishustin, I. N.

    2011-05-23

    The constituent quark number scaling of elliptic flow is studied in a non-equilibrium hadronization and freeze-out model with rapid dynamical transition from ideal, deconfined and chirally symmetric Quark Gluon Plasma, to final non-interacting hadrons. In this transition a Bag model of constituent quarks is considered, where the quarks gain constituent quark mass while the background Bag-field breaks up and vanishes. The constituent quarks then recombine into simplified hadron states, while chemical, thermal and flow equilibrium break down one after the other. In this scenario the resulting temperatures and flow velocities of baryons and mesons are different. Using a simplified few source model of the elliptic flow, we are able to reproduce the constituent quark number scaling, with assumptions on the details of the non-equilibrium processes.

  6. LLW Notes, Volume 12, Number 1

    SciTech Connect (OSTI)

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

    1997-01-01

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

  7. Property:NEPA SerialNumber | Open Energy Information

    Open Energy Info (EERE)

    SerialNumber Jump to: navigation, search Property Name NEPA SerialNumber Property Type String This is a property of type String. Pages using the property "NEPA SerialNumber"...

  8. Property:OutagePhoneNumber | Open Energy Information

    Open Energy Info (EERE)

    OutagePhoneNumber Jump to: navigation, search Property Name OutagePhoneNumber Property Type String Description An outage hotline or 24-hour customer service number Note: uses...

  9. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    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...

  10. Virginia Natural Gas Number of Gas and Gas Condensate Wells ...

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Colorado Natural Gas Number of Gas and Gas Condensate Wells ...

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

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

  12. Nebraska Natural Gas Number of Gas and Gas Condensate Wells ...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  13. Missouri Natural Gas Number of Gas and Gas Condensate Wells ...

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

    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...

  14. Michigan Natural Gas Number of Gas and Gas Condensate Wells ...

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

    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...

  15. Kentucky Natural Gas Number of Gas and Gas Condensate Wells ...

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

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

  16. Tennessee Natural Gas Number of Gas and Gas Condensate Wells...

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

    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...

  17. Pennsylvania Natural Gas Number of Gas and Gas Condensate Wells...

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

    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...

  18. Mississippi Natural Gas Number of Gas and Gas Condensate Wells...

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

    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...

  19. Oklahoma Natural Gas Number of Gas and Gas Condensate Wells ...

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Illinois Natural Gas Number of Gas and Gas Condensate Wells ...

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

    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...

  1. Arkansas Natural Gas Number of Gas and Gas Condensate Wells ...

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

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

  2. Maryland Natural Gas Number of Gas and Gas Condensate Wells ...

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

    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...

  3. Louisiana Natural Gas Number of Gas and Gas Condensate Wells...

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

    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...

  4. Property:Number of Plants included in Capacity Estimate | Open...

    Open Energy Info (EERE)

    Plants included in Capacity Estimate Jump to: navigation, search Property Name Number of Plants included in Capacity Estimate Property Type Number Retrieved from "http:...

  5. Property:NumberOfLowEmissionDevelopmentStrategiesExample | Open...

    Open Energy Info (EERE)

    issionDevelopmentStrategiesExample Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLowEmissionDevelopmentStrategiesExample&oldid326472...

  6. Property:NumberOfLowEmissionDevelopmentStrategiesExamples | Open...

    Open Energy Info (EERE)

    sionDevelopmentStrategiesExamples Property Type Number Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfLowEmissionDevelopmentStrategiesExamples&oldid323715...

  7. Property:NumberOfResourceAssessments | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Number. Retrieved from "http:en.openei.orgwindex.php?titleProperty:NumberOfResourceAssessments&oldid31439...

  8. LLW Notes, Volume 12, Number 3

    SciTech Connect (OSTI)

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

    1997-03-01

    Contents include articles entitled: California DHS sues US Interior Department to compel land transfer; LLW Forum holds winter meeting; LLW Forum waste information working group meets; LLW Forum regulatory issues discussion group meets; Envirocare investigation transferred to feds; Host state TCC meets in Laughlin, Nevada; BLM to require new permit for California site testing; Federal agencies and committees; Pena sworn in as Energy Secretary, Grumbly departs DOE; U.S. Supreme Court tackles property rights issues; GAO to study DOI`s actions; Congress scrutinizes FY `98 budget requests; and Senate committee passes high-level waste bill: Clinton threatens to veto.

  9. Document Number Q0029500 Summary and Conclusions

    Office of Legacy Management (LM)

    Summary and Conclusions 6.0 Summary and Conclusions In 1990, a RIBS and ROD were completed for MMTS OUs I and 11. A RI was completed for OU I11 in 1998 and subsequent interim action performed. This report presents the results of the interim remedial action and completes' the remedial investigatiodfeasibility study process. Info~mation presented in this RI A d d e n d u d F S for OU 111 of MMTS is summarized in the following sections. 6.1 Physical Site Characteristics The hydrostratigraphic units

  10. Export support of renewable energy industries. Task number 1, deliverable number 3. Final report

    SciTech Connect (OSTI)

    1998-01-14

    The United States Export Council for Renewable Energy (US/ECRE), a consortium of six industry associations, promotes the interests of the renewable energy and energy efficiency member companies which provide goods and services in biomass, geothermal, hydropower, passive solar, photovoltaics, solar thermal, wind, wood energy, and energy efficiency technologies. US/ECRE`s mission is to catalyze export markets for renewable energy and energy efficiency technologies worldwide. Under this grant, US/ECRE has conducted a number of in-house activities, as well as to manage activities by member trade associations, affiliate organizations and non-member contractors and consultants. The purpose of this document is to report on task coordination and effectiveness.

  11. Export support of renewable energy industries, grant number 1, deliverable number 3. Final report

    SciTech Connect (OSTI)

    1998-01-14

    The United States Export Council for Renewable Energy (US/ECRE), a consortium of six industry associations, promotes the interests of the renewable energy and energy efficiency member companies which provide goods and services in biomass, geothermal, hydropower, passive solar, photovoltaics, solar thermal, wind, wood energy, and energy efficiency technologies. US/ECRE`s mission is to catalyze export markets for renewable energy and energy efficiency technologies worldwide. Under this grant, US/ECRE has conducted a number of in-house activities, as well as to manage activities by member trade associations, affiliate organizations and non-member contractors and consultants. The purpose of this document is to report on grant coordination and effectiveness.

  12. Property:ASHRAE 169 Climate Zone Number | Open Energy Information

    Open Energy Info (EERE)

    5 + Adair County, Oklahoma ASHRAE 169-2006 Climate Zone + Climate Zone Number 3 + Adams County, Colorado ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adams County,...

  13. Modeling the Number of Ignitions Following an Earthquake: Developing

    Office of Environmental Management (EM)

    Prediction Limits for Overdispersed Count Data | Department of Energy the Number of Ignitions Following an Earthquake: Developing Prediction Limits for Overdispersed Count Data Modeling the Number of Ignitions Following an Earthquake: Developing Prediction Limits for Overdispersed Count Data Modeling the Number of Ignitions Following an Earthquake: Developing Prediction Limits for Overdispersed Count Data Authors: Elizabeth J. Kelly and Raymond N. Tell PDF icon Modeling the Number of

  14. Social Security Number Reduction Project | Department of Energy

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

    Social Security Number Reduction Project Social Security Number Reduction Project The document below provides information regarding acceptable uses of the Social Security Number (SSN). PDF icon Baseline Inventory.pdf More Documents & Publications DOE Guidance on the Use of the SSN Manchester Software 1099 Reporting PIA, Idaho National Laboratory Occupational Medicine - Assistant PIA, Idaho National Laboratory

  15. Heaviest Nuclei: New Element with Atomic Number 117

    ScienceCinema (OSTI)

    Oganessian, Yuri [Flerov Laboratory of Nuclear Reactions, Russia and Joint Institute for Nuclear Research

    2010-09-01

    One of the fundamental outcomes of the nuclear shell model is the prediction of the 'stability islands' in the domain of the hypothetical super heavy elements. The talk is devoted to the experimental verification of these predictions - the synthesis and study of both the decay and chemical properties of the super heavy elements. The discovery of a new chemical element with atomic number Z=117 is reported. The isotopes 293117 and 294117 were produced in fusion reactions between 48Ca and 249Bk. Decay chains involving 11 new nuclei were identified by means of the Dubna gas-filled recoil separator. The measured decay properties show a strong rise of stability for heavier isotopes with Z =111, validating the concept of the long sought island of enhanced stability for heaviest nuclei.

  16. Projection techniques as methods of particle-number symmetry restoration

    SciTech Connect (OSTI)

    Oudih, M. R.; Fellah, M.; Allal, N. H.; Benhamouda, N. [Laboratoire de Physique Theorique, Faculte de Physique, Universite des Sciences et de la Technologie Houari Boumediene, BP 32, El Alia, 16111 Bab Ezzouar, Algiers, Algeria, and Centre de Recherche Nucleaire d'Alger - COMENA, BP 399, Alger-Gare, Algiers (Algeria)

    2007-10-15

    The accuracy of the variation before (VBP) and after (VAP) particle-number projection methods, the Lipkin-Nogami (LN) prescription, and the projected Lipkin-Nogami (PLN) method have been studied using two exactly solvable models. It is shown that the VBP and the LN methods are rather dubious not only in a weak pairing regime, but also in strong pairing for the evaluation of quantities other than the ground state energy. The PLN method provides good results for the ground and the excited state energies, but it must be used with caution for the occupation probabilities and the observables that strongly depend on it. It seems that the VAP is the only suitable method for a global description of the nuclear properties.

  17. ORISE: Report shows number of health physics degrees for 2010

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

    report shows number of health physics degrees increased for graduates, decreased for undergraduates in 2010 Decreased number of B.S. degrees remains higher than levels in the early 2000 FOR IMMEDIATE RELEASE Dec. 20, 2011 FY12-09 OAK RIDGE, Tenn.-The number of health physics graduate degrees increased for both master's and doctoral candidates in 2010, but decreased for bachelor's degrees, says a report released this year by the Oak Ridge Institute for Science and Education. The ORISE report,

  18. Heavy pair production currents with general quantum numbers in

    Office of Scientific and Technical Information (OSTI)

    dimensionally regularized nonrelativistic QCD (Journal Article) | SciTech Connect Heavy pair production currents with general quantum numbers in dimensionally regularized nonrelativistic QCD Citation Details In-Document Search Title: Heavy pair production currents with general quantum numbers in dimensionally regularized nonrelativistic QCD We discuss the form and construction of general color singlet heavy particle-antiparticle pair production currents for arbitrary quantum numbers, and

  19. Developing and Enhancing Workforce Training Programs: Number of Projects by

    Energy Savers [EERE]

    State | Department of Energy 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 United States showing the location of Workforce Training Projects, funded through the American Recovery and Reinvestment Act PDF icon Developing and Enhancing Workforce Training Programs: Number of Projects by State More Documents & Publications Workforce Development Wind Projects

  20. Modeling the Number of Ignitions Following an Earthquake: Developing...

    Office of Environmental Management (EM)

    Developing Prediction Limits for Overdispersed Count Data Authors: Elizabeth J. Kelly and Raymond N. Tell PDF icon Modeling the Number of Ignitions Following an Earthquake:...

  1. Conducting Your Annual VPP Self-Evaluation by the Numbers

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

    ... VPP Annual Self-evaluation: By the Numbers Example pre-meeting training 5. Picking who to interview * Fixed - Pick by positionlocation - Safety Council Chair - Union Steward - ...

  2. Dependence of Band Renormalization Effect on the Number of Copper...

    Office of Scientific and Technical Information (OSTI)

    DOE Contract Number: AC02-76SF00515 Resource Type: Journal Article Resource Relation: Journal Name: Submitted to Physical Review Letters; Journal Volume: 103; Journal Issue: 6 ...

  3. Request for Proposals Number RHB-5-52483

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

    9 National Renewable Energy Laboratory Managed and Operated by the Alliance for Sustainable Energy, LLC Request for Proposals Number RHB-5-52483 "Subsurface Utility Engineering...

  4. Quark-Gluon Plasma Model and Origin of Magic Numbers

    SciTech Connect (OSTI)

    Ghahramany, N.; Ghanaatian, M.; Hooshmand, M.

    2008-04-21

    Using Boltzman distribution in a quark-gluon plasma sample it is possible to obtain all existing magic numbers and their extensions without applying the spin and spin-orbit couplings. In this model it is assumed that in a quark-gluon thermodynamic plasma, quarks have no interactions and they are trying to form nucleons. Considering a lattice for a central quark and the surrounding quarks, using a statistical approach to find the maximum number of microstates, the origin of magic numbers is explained and a new magic number is obtained.

  5. Number of NERSC Users and Projects Through the Years

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

    Through the Years Careers Visitor Info Web Policies Home About Usage and User Demographics Users and Projects Through the Years Number of NERSC Users and Projects Through...

  6. Temporary EPA ID Number Request | Open Energy Information

    Open Energy Info (EERE)

    Temporary EPA ID Number RequestLegal Abstract A developer that may "generate hazardous waste only from an episodic event" may instead apply for a temporary hazardous waste...

  7. Table B10. Employment Size Category, Number of Buildings, 1999

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

    0. Employment Size Category, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Workers" ,,"Fewer than 5 Workers","5 to 9 Workers","10 to 19 Workers","20 to 49 Workers","50 to 99 Workers","100 to 249 Workers","250 or More Workers" "All Buildings ................",4657,2376,807,683,487,174,90,39 "Building Floorspace" "(Square

  8. Mailing Addresses and Information Numbers for Operations, Field, and Site

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

    Offices | Department of Energy About Energy.gov » Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Name Telephone Number U.S. Department of Energy Ames Site Office 111 TASF, Iowa State University Ames, Iowa 50011 515-294-9557 U.S. Department of Energy Argonne Site Office 9800 S. Cass Avenue Argonne, IL 60439 630-252-2000 U.S. Department of Energy Berkeley Site Office Berkeley

  9. Prediction of Ice Crystal Number in Community Atmospheric Model (CAM3.0)

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

    Prediction of Ice Crystal Number in Community Atmospheric Model (CAM3.0) Liu, Xiaohong Pacific Northwest National Laboratory Ghan, Steven Pacific Northwest National Laboratory Wang, M University of Michigan Penner, Joyce University of Michigan Category: Modeling A prognostic equation of ice crystal number concentrations is implemented in the Community Atmospheric Model (CAM3.0) with the aim to study the aerosol effects on climate through changing the ice cloud properties. The microphysical

  10. Modeling the Number of Ignitions Following an Earthquake: Developing...

    Office of Environmental Management (EM)

    the likelihood of various fire scenarios. The first component of the approach is a statistical model to predict the number of ignitions for a new earthquake event. This model is...

  11. Property:NumberOfUsers | Open Energy Information

    Open Energy Info (EERE)

    property "NumberOfUsers" Showing 25 pages using this property. (previous 25) (next 25) H HOMER + 578 + HOMER + 14 + HOMER + 1 + HOMER + 34 + HOMER + 6 + HOMER + 68 + HOMER + 89...

  12. Number of NERSC Users and Projects Through the Years

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

    Users and Projects Through the Years Careers Visitor Info Web Policies Home » About » Usage and User Demographics » Users and Projects Through the Years Number of NERSC Users and Projects Through the Years These numbers exclude staff and vendor accounts. Year Number of Users Number of Projects 2014 5,950 846 2013 5.191 768 2012 4,659 728 2011 4,934 641 2010 4,294 540 2009 3,731 506 2008 3,271 464 2007 3,111 404 2006 2,978 385 2005 2,677 348 2004 2,416 347 2003 2,323 318 2002 2,594 337 2001

  13. Property:Buildings/ReportNumber | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type String. Pages using the property "BuildingsReportNumber" Showing 2 pages using this property. G General Merchandise 50%...

  14. Parameterized reduced-order models using hyper-dual numbers....

    Office of Scientific and Technical Information (OSTI)

    This report presents a methodology for developing parameterized ROMs, which is based on ... DOE Contract Number: AC04-94AL85000 Resource Type: Technical Report Research Org: Sandia ...

  15. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    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...

  16. Physical Modeling of Spinel Crystals Settling at Low Reynolds Numbers

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: Physical Modeling of Spinel Crystals Settling at Low Reynolds Numbers Citation Details In-Document Search Title: Physical Modeling of Spinel Crystals Settling at Low Reynolds Numbers The crystallization of large octahedral crystals of spinel during the high-level waste (HLW) vitrification process poses a potential danger to electrically heated ceramic melters. Large spinel crystals rapidly settle under gravitational attraction and

  17. Reducing the Particulate Emission Numbers in DI Gasoline Engines |

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

    Department of Energy the Particulate Emission Numbers in DI Gasoline Engines Reducing the Particulate Emission Numbers in DI Gasoline Engines Formation of droplets was minimized through optimization of fuel vaporization and distribution avoiding air/fuel zones richer than stoichiometric and temperatures that promote particle formation PDF icon deer10_klindt.pdf More Documents & Publications Bosch Powertrain Technologies Vehicle Emissions Review - 2012 Ethanol Effects on Lean-Burn and

  18. Treatment of the intrinsic Hamiltonian in particle-number nonconserving

    Office of Scientific and Technical Information (OSTI)

    theories (Journal Article) | SciTech Connect Treatment of the intrinsic Hamiltonian in particle-number nonconserving theories Citation Details In-Document Search Title: Treatment of the intrinsic Hamiltonian in particle-number nonconserving theories Authors: Hergert, H. ; Roth, R. Publication Date: 2009-11-01 OSTI Identifier: 1209398 Type: Published Article Journal Name: Physics Letters. Section B Additional Journal Information: Journal Volume: 682; Journal Issue: 1; Journal ID: ISSN

  19. California's Efforts for Advancing Ultrafine Particle Number Measurements

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

    for Clean Diesel Exhaust | Department of Energy Efforts for Advancing Ultrafine Particle Number Measurements for Clean Diesel Exhaust California's Efforts for Advancing Ultrafine Particle Number Measurements for Clean Diesel Exhaust Presentation given at DEER 2006, August 20-24, 2006, Detroit, Michigan. Sponsored by the U.S. DOE's EERE FreedomCar and Fuel Partnership and 21st Century Truck Programs. PDF icon 2006_deer_huai.pdf More Documents & Publications Measurement of diesel solid

  20. Record Number Attend EM's Science Alliance | Department of Energy

    Energy Savers [EERE]

    Record Number Attend EM's Science Alliance Record Number Attend EM's Science Alliance October 30, 2013 - 12:00pm Addthis A record 1,200 students and educators visited EM’s Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. A record 1,200 students and educators visited EM's Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. PIKETON, Ohio - More than 1,200 students and educators from 23 southern Ohio schools visited EM's Portsmouth Gaseous

  1. Video: Recovery Act by the Numbers | Department of Energy

    Energy Savers [EERE]

    Recovery Act by the Numbers Video: Recovery Act by the Numbers February 17, 2016 - 11:30am Addthis Watch this video to learn how the Recovery Act helped jumpstart America's clean energy economy. | Video by Simon Edelman and graphics by Carly Wilkins, Energy Department. Paul Lester Paul Lester Digital Content Specialist, Office of Public Affairs Simon Edelman Simon Edelman Chief Creative Officer Carly Wilkins Carly Wilkins Multimedia Designer MORE ON THE RECOVERY ACT MAP: Learn about the impact

  2. INTERACTIVE: Energy Intensity and Carbon Intensity by the Numbers |

    Energy Savers [EERE]

    Department of Energy INTERACTIVE: Energy Intensity and Carbon Intensity by the Numbers INTERACTIVE: Energy Intensity and Carbon Intensity by the Numbers February 19, 2016 - 11:53am Addthis Daniel Wood Daniel Wood Data Visualization and Cartographic Specialist, Office of Public Affairs Watch our CO2 drop dramatically compared to other countries in this interactive Curious about the total amount of carbon we emit into the atmosphere? Compare countries from around the globe using this tool. If

  3. Investigation of Rossby-number similarity in the neutral boundary layer using large-eddy simulation

    SciTech Connect (OSTI)

    Ohmstede, W.D.; Cederwall, R.T.; Meyers, R.E.

    1988-01-01

    One special case of particular interest, especially to theoreticians, is the steady-state, horizontally homogeneous, autobarotropic (PLB), hereafter referred to as the neutral boundary layer (NBL). The NBL is in fact a 'rare' atmospheric phenomenon, generally associated with high-wind situations. Nevertheless, there is a disproportionate interest in this problem because Rossby-number similarity theory provides a sound approach for addressing this issue. Rossby-number similarity theory has rather wide acceptance, but because of the rarity of the 'true' NBL state, there remains an inadequate experimental database for quantifying constants associated with the Rossby-number similarity concept. Although it remains a controversial issue, it has been proposed that large-eddy simulation (LES) is an alternative to physical experimentation for obtaining basic atmospherc 'data'. The objective of the study reported here is to investigate Rossby-number similarity in the NBL using LES. Previous studies have not addressed Rossby-number similarity explicitly, although they made use of it in the interpretation of their results. The intent is to calculate several sets of NBL solutions that are ambiguous relative to the their respective Rossby numbers and compare the results for similarity, or the lack of it. 14 refs., 1 fig.

  4. STATEMENT AND ACKNOWLEDGMENT OMB Control Number: 9000-0014

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

    ACKNOWLEDGMENT OMB Control Number: 9000-0014 Expiration Date: 12/31/2017 PART I - STATEMENT OF PRIME CONTRACTOR 1. PRIME CONTRACT NO. 2. DATE SUBCONTRACT AWARDED 3. SUBCONTRACT NUMBER 15b. TITLE OF PERSON SIGNING AUTHORIZED FOR LOCAL REPRODUCTION PREVIOUS EDITION IS NOT USABLE STANDARD FORM 1413 (REV. 4/2013) Prescribed by GSA/FAR (48 CFR) 53.222(e) 4. PRIME CONTRACTOR 5. SUBCONTRACTOR a. NAME a. NAME b. STREET ADDRESS b. STREET ADDRESS c. CITY d. STATE e. ZIP CODE c. CITY d. STATE e. ZIP CODE

  5. Contract Number DE-AC27-10RV15051

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

    Contract Number DE-AC27-10RV15051 Modification 106 SF-30 Attachment Attachment DE-AC27-10RV15051 MODIFICATION 106 Replacement Pages (Total: 53, including this Cover Page)  Section B.1, Type of Contract - Items Being Acquired, Page B-8  Section H, Special Contract Requirements, Pages i, ii, and H-27  Section I, Contract Clauses, Pages I-1 thru I-48 222-S LAS&T Contract DE-AC27-10RV15051 Conformed thru Contract Modification No. 106 B-8 (e) OPTION PERIOD III: CLIN Number Description

  6. Method for rapidly determining a pulp kappa number using spectrophotometry

    DOE Patents [OSTI]

    Chai, Xin-Sheng (Atlanta, GA); Zhu, Jun Yong (Marietta, GA)

    2002-01-01

    A system and method for rapidly determining the pulp kappa number through direct measurement of the potassium permanganate concentration in a pulp-permanganate solution using spectrophotometry. Specifically, the present invention uses strong acidification to carry out the pulp-permanganate oxidation reaction in the pulp-permanganate solution to prevent the precipitation of manganese dioxide (MnO.sub.2). Consequently, spectral interference from the precipitated MnO.sub.2 is eliminated and the oxidation reaction becomes dominant. The spectral intensity of the oxidation reaction is then analyzed to determine the pulp kappa number.

  7. Table B8. Year Constructed, Number of Buildings, 1999

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

    B8. Year Constructed, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Year Constructed" ,,"1919 or Before","1920 to 1945","1946 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999" "All Buildings ................",4657,419,499,763,665,774,846,690 "Building Floorspace" "(Square Feet)" "1,001 to 5,000

  8. Energy By The Numbers: Recovery Act | Department of Energy

    Energy Savers [EERE]

    By The Numbers: Recovery Act Energy By The Numbers: Recovery Act Addthis America is now a world leader in clean energy. But how did we get there? One key reason is the Recovery Act of 2009, a historic investment to revitalize the economy during the worst financial crisis since the Great Depression. This investment created millions of jobs -- including thousands of clean energy jobs in sectors that never even existed before. For example, in 2009 there was not a single utility-scale photovoltaic

  9. Survey of lepton number violation via effective operators

    SciTech Connect (OSTI)

    Gouvea, Andre de; Jenkins, James [Northwestern University, Department of Physics and Astronomy, 2145 Sheridan Road, Evanston, Illinois 60208 (United States)

    2008-01-01

    We survey 129 lepton number violating effective operators, consistent with the minimal standard model gauge group and particle content, of mass dimension up to and including 11. Upon requiring that each one radiatively generates the observed neutrino masses, we extract an associated characteristic cutoff energy scale which we use to calculate other observable manifestations of these operators for a number of current and future experimental probes, concentrating on lepton number violating phenomena. These include searches for neutrinoless double-beta decay and rare meson, lepton, and gauge boson decays. We also consider searches at hadron/lepton collider facilities in anticipation of the CERN LHC and the future ILC. We find that some operators are already disfavored by current data, while more are ripe to be probed by next-generation experiments. We also find that our current understanding of lepton mixing disfavors a subset of higher dimensional operators. While neutrinoless double-beta decay is the most promising signature of lepton number violation for the majority of operators, a handful is best probed by other means. We argue that a combination of constraints from various independent experimental sources will help to pinpoint the ''correct'' model of neutrino mass, or at least aid in narrowing down the set of possibilities.

  10. Energy Intensity and Carbon Intensity by the Numbers | Department of Energy

    Energy Savers [EERE]

    Intensity and Carbon Intensity by the Numbers Energy Intensity and Carbon Intensity by the Numbers

  11. Property:Number of Prime Movers | Open Energy Information

    Open Energy Info (EERE)

    Farms + 1 + Distributed Generation StudyPatterson Farms CHP System Using Renewable Biogas + 1 + Distributed Generation StudySUNY Buffalo + 2 + Distributed Generation StudySea...

  12. Proton NMR analysis of octane number for motor gasoline: Part IV

    SciTech Connect (OSTI)

    Ichikawa, M.; Nonaka, N.; Amano, H.; Takada, I.; Ishimori, S.; Andoh, H.; Kumamoto, K.

    1992-08-01

    Software for predicting the octane number of motor gasoline by proton magnetic resonance (PMR) spectrometry has been formulated. At the same time, a method has been studied to predict the composition of gasoline (in terms of the contents of paraffin, olefin, and aromatic compounds). The formulated program was evaluated by using it to predict the octane numbers of 31 samples of marketed summer gasoline (including 16 regular and 15 premium products), whose octane numbers and compositions were identified according to the ASTM standards. Also, the relationship between the PMR spectrum and gasoline composition was subjected to linear regression analysis by using the 31 samples whose octane numbers were calculated, and the appropriateness of the resultant regression equations was assessed. This report concerns the results of the study in which the octane numbers of the 31 samples were satisfactorily predicted by the formulated program and useful linear regression equation were obtained for the prediction of the composition of gasoline. 9 refs., 9 figs., 3 tabs.

  13. Total number of longwall faces drops below 50

    SciTech Connect (OSTI)

    Fiscor, S.

    2009-02-15

    For the first time since Coal Age began its annual Longwall Census the number of faces has dropped below 50. A total of five mines operate two longwall faces. CONSOL Energy remains the leader with 12 faces. Arch Coal operates five longwall mines; Robert E. Murray owns five longwall mines. West Virginia has 13 longwalls, followed by Pennsylvania (8), Utah (6) and Alabama (6). A detailed table gives for each longwall installation, the ownership, seam height, cutting height, panel width and length, overburden, number of gate entries, depth of cut, model of equipment used (shearer, haulage system, roof support, face conveyor, stage loader, crusher, electrical controls and voltage to face). 2 tabs., 1 photo.

  14. Table B6. Building Size, Number of Buildings, 1999

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

    B6. Building Size, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings ","Building Size" ,,"1,001 to 5,000 Square Feet","5,001 to 10,000 Square Feet","10,001 to 25,000 Square Feet","25,001 to 50,000 Square Feet","50,001 to 100,000 Square Feet","100,001 to 200,000 Square Feet","200,001 to 500,000 Square Feet","Over 500,000 Square Feet" "All Buildings

  15. Regulation Indentifier Number Title/Subject/Purpose Rule Type

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

    as of 10/26/2015 Regulation Indentifier Number Title/Subject/Purpose Rule Type Status 1990-AA40 Adminstrative Requirements for Other Transactions: revise requirements for technology investment agreements to broaden to support all types of other transactions. NOPR Federal Register notice drafted and under review for significance determination per EO 12866 1991-AB73 Property Management Regulation: Update and eliminate inconsistencies and redundancies in DOE's personal property management

  16. Regulation Indentifier Number Title/Subject/Purpose Rule Type

    Energy Savers [EERE]

    as of 3/10/2016 The information contained herein is current as of its last update. Updates are only accomplished periodically for the entire list. For the official status of a specific rule, please see the Federal Register at https://www.regulations.gov/. Regulation Indentifier Number Title/Subject/Purpose Rule Type Status 1990-AA40 Adminstrative Requirements for Other Transactions: revise requirements for technology investment agreements to broaden to support all types of other transactions.

  17. FINAL MECHANICAL EXAMINATION FORM PS-6 Pressure System Number:

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

    MECHANICAL EXAMINATION FORM PS-6 Pressure System Number: Pressure System Name: Design Authority: CHECK IF COMPLETE, N/A IF NOT APPLICABLE: Materials, components and products meet specifications and the requirements of engineering design Applicable procedures for assembly, glue bonding, etc. Assembly of threaded, bolted and other joints conforms to Code and engineering design Alignment, supports and/or cold spring meet engineering design Dimensional checks of components and materials meet Code

  18. Inventive Thinkers at NREL Reach Record Number - News Feature | NREL

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

    Inventive Thinkers at NREL Reach Record Number December 17, 2015 A man wearing safety glasses stands next to large solar panels. NREL engineer Chris Deline came up with an idea for a device that would allow firefighters to quickly power down solar panels in case of a fire. Photo by Dennis Schroeder The eureka moments can come fast and furious at the Energy Department's National Renewable Energy Laboratory (NREL), which last fiscal year racked up a record 169 inventions. Chris Deline's idea came

  19. Maria Goeppert Mayer, the Nuclear Shell Structure, and Magic Numbers

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

    Maria Goeppert-Mayer, the Nuclear Shell Model, and Magic Numbers Resources with Additional Information Maria Goeppert-Mayer Courtesy Argonne National Laboratory While working at Argonne National Laboratory (ANL) in 1948, physicist Maria Goeppert-Mayer developed the explanation of how neutrons and protons within atomic nuclei are structured. Called the "nuclear shell model," her work explains why the nuclei of some atoms are more stable than others and why some elements have many

  20. Chicago Office NEPA Tracking Number U. S. DEPARTMENT OF ENERGY

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

    SFCH F 560-ACQ (11/05) Previous editions are obsolete. ~1,6~.. --1 b Chicago Office NEPA Tracking Number U. S. DEPARTMENT OF ENERGY OFFICE OF SCIENCE -- CHICAGO OFFICE NATIONAL ENVIRONMENTAL POLICY ACT (NEPA) ENVIRONMENTAL EVALUATION NOTIFICATION FORM To be completed by "financial assistance award" organization receiving Federal funding. For assistance (including a point of contact), see "Instructions for Preparing SC-CH F-560, Environmental Evaluation Notification Form ".

  1. MENTEE QUESTIONNAIRE Name: Title: Email: Office Phone Number:

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

    MENTEE QUESTIONNAIRE Name: Title: Email: Office Phone Number: Office Address: Why are you interested in the mentoring program? (This information will be included with the invitation to your potential mentor.) What goals do you want to work on during your participation in the mentoring program? Is there someone you would like to be your mentor? Yes No If yes, please list their name and any other possible mentors in order of preference: Expectations of the Mentoring Program How long? 6-months

  2. NNSA Achievements: 2015 by the Numbers | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    Administration Achievements: 2015 by the Numbers | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for

  3. VIDEO: 2015 By the Numbers | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    VIDEO: 2015 By the Numbers | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs Working

  4. Detailed Chemical Kinetic Reaction Mechanisms for Primary Reference Fuels for Diesel Cetane Number and Spark-Ignition Octane Number

    SciTech Connect (OSTI)

    Westbrook, C K; Pitz, W J; Mehl, M; Curran, H J

    2010-03-03

    For the first time, a detailed chemical kinetic reaction mechanism is developed for primary reference fuel mixtures of n-hexadecane and 2,2,4,4,6,8,8-heptamethyl nonane for diesel cetane ratings. The mechanisms are constructed using existing rules for reaction pathways and rate expressions developed previously for the primary reference fuels for gasoline octane ratings, n-heptane and iso-octane. These reaction mechanisms are validated by comparisons between computed and experimental results for shock tube ignition and for oxidation under jet-stirred reactor conditions. The combined kinetic reaction mechanism contains the submechanisms for the primary reference fuels for diesel cetane ratings and submechanisms for the primary reference fuels for gasoline octane ratings, all in one integrated large kinetic reaction mechanism. Representative applications of this mechanism to two test problems are presented, one describing fuel/air autoignition variations with changes in fuel cetane numbers, and the other describing fuel combustion in a jet-stirred reactor environment with the fuel varying from pure 2,2,4,4,6,8,8-heptamethyl nonane (Cetane number of 15) to pure n-hexadecane (Cetane number of 100). The final reaction mechanism for the primary reference fuels for diesel fuel and gasoline is available on the web.

  5. Company/Product Description Contract Number Contract Holders

    Broader source: Energy.gov (indexed) [DOE]

    Company/Product Description Contract Number Contract Holders (contact directly) Small Business Product POCs DOE POC Adobe Adobe's Government Cumulative Licenses Program (CLP) and Enterprise Agreement (EA2) Program. Most Adobe desktop products and services DE-IM0000595 Emergent, LLC: Blake Weiss ph: 571-419-6423 bweiss@emergent360.com Matthew Frazee ph: 206-714-0569 MFrazee@emergent360.com YES Adobe: Tiffany Person ph: 847-224-2746 tiperson@adobe.com Rob Gettings Robert.Gettings@hq.doe.gov

  6. Quantum Statistical Testing of a Quantum Random Number Generator

    SciTech Connect (OSTI)

    Humble, Travis S

    2014-01-01

    The unobservable elements in a quantum technology, e.g., the quantum state, complicate system verification against promised behavior. Using model-based system engineering, we present methods for verifying the opera- tion of a prototypical quantum random number generator. We begin with the algorithmic design of the QRNG followed by the synthesis of its physical design requirements. We next discuss how quantum statistical testing can be used to verify device behavior as well as detect device bias. We conclude by highlighting how system design and verification methods must influence effort to certify future quantum technologies.

  7. Poster Title LA-UR Number Author(s) Thumbnail

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

    Water Individual Permit Posters 1 December 4, 2013 Poster Title LA-UR Number Author(s) Thumbnail Contributions of Nitrite-Nitrogen, Nitrate-Nitrogen, and Orthophosphate Levels in Surface Water Runoff from Wildfire Severity Classes from the Las Conchas Fire in the Jemez Mountains, New Mexico, 2012 July 2013 Student Symposium LA-UR-13-25819 Anita Lavadie Solid and Dissolved Phase Aluminum in Storm Water Runoff on the Pajarito Plateau July 2013 Student Symposium LA-UR-13-25505 Daria Cuthbertson

  8. Site: Contract Name: Contractor: Contract Number: Contract Type:

    Office of Environmental Management (EM)

    Number: Contract Type: Total Estimated Contract Cost: Contract Base Period: Contract Option Periods: Minimum Fee Maximum Fee Performance Period Fee Available Fee Earned FY2009/2010 $22,386,342 $19,332,431 FY2011 $26,164,766 $23,956,349 FY2012 $21,226,918 $19,099,251 FY2013 $21,030,647 $19,352,402 FY2014 $18,986,489 $16,518,626 FY2015 $21,043,816 FY2016 FY2017 Cumulative Fee $130,838,978 $98,259,059 $130,838,978 EM Contractor Fee Richland Operations Office - Richland, WA Infrastructure and Site

  9. Other Contracting Authority NNSA ORGANIZATION HCA LIMIT PHONE NUMBER

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

    Other Contracting Authority NNSA ORGANIZATION HCA LIMIT PHONE NUMBER NNSA HQ, NA-63, Deputy Director, Office of Acquisition and Supply Management Barbara H. Stearrett > $25M 202-586-7439 NNSA Service Center, Associate Director, Office of Business Services, Albuquerque, NM Donald J. Garcia < or equal to $25M 505-845-5878 Site offices do not have any HCA authority. NNSA SITE OFFICE CO NAME PHONE M&O CONTRACTOR NAME Bettis/Knolls Atomic Power Laboratory Mark Dickinson 202-781-6237 Bechtel

  10. In Archive} Re: Number of ships at JBC

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

    Re: Number of ships at JBC Jeffrey Galan to: Maxcine Maxted 07/31/2015 06:02 PM Cc: Michael Dunsmuir History: This message has been forwarded. Archive: This message is being viewed in an archive. Hey Maxine, I spoke to my Joint Base Charleston contact and he told me that JBC gets an average of 8-10 vessels a year at Wharf Alpha and 35-45 vessels base wide. Jeff Galan Program Manager U.S.-Origin Nuclear Material Removal Program Office of Material Management and Minimization National Nuclear

  11. Contract Number DE-AC27-10RV15051

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

    Contract Number DE-AC27-10RV15051 Modification 100 SF-30 Attachment Attachment DE-AC27-10RV15051 MODIFICATION 100 Replacement Pages (Total: 37, including this Cover Page)  Section B.1, Type of Contract - Items Being Acquired, Page B-i and B-1  Section G.1(d), Electronic Media for Reports/Plans/Documents, Page G-1  Section J, Attachment 1, DOE Directives Applicable to the 222-S Lab, Pages J-1 thru J-3  Section J, Attachment 4, Washington Department of Labor Wage Determination, Pages

  12. Contract Number DE-AC27-10RV15051

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

    Number DE-AC27-10RV15051 Modification 116 SF-30 Attachment Attachment DE-AC27-10RV15051 MODIFICATION 116 Replacement Pages (Total: 21, including this Cover Page)  Section J, Attachment 7, Performance Evaluation and Measurement Plan, Pages J-127 thru J-146 ¡ ¢ £ ¤ ¢ ¥ ¦ § ¨ ©       ¨    ¡ ¤ §  ¡  ! "  # #  § ¨ © $ ¨  % & '  (  ) § ¨ ©      0 ¨ ' 1 $ 1 

  13. Number of Customers by State by Sector, 1990-2014

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

    Number of Customers by State by Sector, 1990-2014" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2014,"AK","Total Electric Industry",281438,51017,1287,0,"NA",333742 2014,"AL","Total Electric Industry",2169790,360901,7236,0,"NA",2537927 2014,"AR","Total Electric

  14. MENTOR QUESTIONNAIRE Name: Title: Email: Office Phone Number:

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

    MENTOR QUESTIONNAIRE Name: Title: Email: Office Phone Number: Office Address: is interested in this program because: Are you willing to act as a mentor for ? Yes No Expectations of the Mentoring Program How long? 6-months minimum commitment. Are you willing to commit to the 6-months minimum timeframe? Yes No How much time? You decide with your mentee; 1-4 hours/month is recommended. Please return completed form to Ames Lab Human Resources, 105 TASF. Are you willing to commit 1-4 hours per month

  15. Winnebago Resource Study. Cooperative Research and Development Final Report, CRADA Number CRD-09-329

    SciTech Connect (OSTI)

    Jimenez, A.; Robichaud, R.

    2015-03-01

    Since 2005 the NREL Native American Tall Tower Loan program has assisted Native American tribes to assess their wind resource by lending tall (30m - 50m) anemometer. This program has allowed tribes a lower risk way to gather financeable wind data for potential utility scale wind energy projects. These projects offer Tribes a significant economic development opportunity.

  16. Study Reveals Fuel Injection Timing Impact on Particle Number Emissions (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-12-01

    Start of injection can improve environmental performance of fuel-efficient gasoline direct injection engines.

  17. Finite Mach number spherical shock wave, application to shock ignition

    SciTech Connect (OSTI)

    Vallet, A.; Ribeyre, X.; Tikhonchuk, V.

    2013-08-15

    A converging and diverging spherical shock wave with a finite initial Mach number M{sub s0} is described by using a perturbative approach over a small parameter M{sub s}{sup ?2}. The zeroth order solution is the Guderley's self-similar solution. The first order correction to this solution accounts for the effects of the shock strength. Whereas it was constant in the Guderley's asymptotic solution, the amplification factor of the finite amplitude shock ?(t)?dU{sub s}/dR{sub s} now varies in time. The coefficients present in its series form are iteratively calculated so that the solution does not undergo any singular behavior apart from the position of the shock. The analytical form of the corrected solution in the vicinity of singular points provides a better physical understanding of the finite shock Mach number effects. The correction affects mainly the flow density and the pressure after the shock rebound. In application to the shock ignition scheme, it is shown that the ignition criterion is modified by more than 20% if the fuel pressure prior to the final shock is taken into account. A good agreement is obtained with hydrodynamic simulations using a Lagrangian code.

  18. ARM Evaluation Product : Droplet Number Concentration Value-Added Product

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

    Riihimaki, Laura

    2014-05-15

    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 decrease, for a given liquid water path (Twomey 1977), which 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 on Boers and 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.

  19. Constituent quark scaling violation due to baryon number transport

    SciTech Connect (OSTI)

    Dunlop J. C.; Lisa, M.A., Sorensen, P.

    2011-10-31

    In ultrarelativistic heavy-ion collisions at {radical}s{sub NN} {approx} 200 GeV, the azimuthal emission anisotropy of hadrons with low and intermediate transverse momentum (p{sub T} {approx}< 4 GeV/c) displays an intriguing scaling. In particular, the baryon (meson) emission patterns are consistent with a scenario in which a bulk medium of flowing quarks coalesces into three-quark (two-quark) 'bags.' While a full understanding of this number-of-constituent-quark (NCQ) scaling remains elusive, it is suggestive of a thermalized bulk system characterized by colored dynamical degrees of freedom - a quark-gluon plasma (QGP). In this scenario, one expects the scaling to break down as the central energy density is reduced below the QGP formation threshold; for this reason, NCQ-scaling violation searches are of interest in the energy scan program at the Relativistic Heavy Ion Collider. However, as {radical}s{sub NN} is reduced, it is not only the initial energy density that changes; there is also an increase in the net baryon number at midrapidity, as stopping transports entrance-channel partons to midrapidity. This phenomenon can result in violations of simple NCQ scaling. Still in the context of the quark coalescence model, we describe a specific pattern for the breakdown of the scaling that includes different flow strengths for particles and their antipartners. Related complications in the search for recently suggested exotic phenomena are also discussed.

  20. ARM Evaluation Product : Droplet Number Concentration Value-Added Product

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

    Riihimaki, Laura

    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 decrease, for a given liquid water path (Twomey 1977), which 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 on Boers and 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.

  1. Message passing with a limited number of DMA byte counters

    DOE Patents [OSTI]

    Blocksome, Michael (Rochester, MN); Chen, Dong (Croton on Hudson, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Kumar, Sameer (White Plains, NY); Parker, Jeffrey J. (Rochester, MN)

    2011-10-04

    A method for passing messages in a parallel computer system constructed as a plurality of compute nodes interconnected as a network where each compute node includes a DMA engine but includes only a limited number of byte counters for tracking a number of bytes that are sent or received by the DMA engine, where the byte counters may be used in shared counter or exclusive counter modes of operation. The method includes using rendezvous protocol, a source compute node deterministically sending a request to send (RTS) message with a single RTS descriptor using an exclusive injection counter to track both the RTS message and message data to be sent in association with the RTS message, to a destination compute node such that the RTS descriptor indicates to the destination compute node that the message data will be adaptively routed to the destination node. Using one DMA FIFO at the source compute node, the RTS descriptors are maintained for rendezvous messages destined for the destination compute node to ensure proper message data ordering thereat. Using a reception counter at a DMA engine, the destination compute node tracks reception of the RTS and associated message data and sends a clear to send (CTS) message to the source node in a rendezvous protocol form of a remote get to accept the RTS message and message data and processing the remote get (CTS) by the source compute node DMA engine to provide the message data to be sent.

  2. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    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...

  3. Federal Offshore--Gulf of Mexico Natural Gas Number of Gas and...

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas Number of 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)...

  4. Level repulsion, nuclear chaos, and conserved quantum numbers

    SciTech Connect (OSTI)

    Garrett, J.D.

    1993-12-01

    A statistical analysis of the distribution of level spacings for states with the same spin and parity is described in which the average spacing is calculated for the total ensemble. Though the resulting distribution of level spacings for states of deformed nuclei with Z = 62 - 75 and A = 155 - 185 is the closest to that of a Poisson distribution yet obtained for nuclear levels, significant deviations are observed for small level spacings. Many, but not all, of the very closely-spaced levels have K-values differing by several units. The analysis of level spacings in {sup 157}Ho indicate that considerable caution should be excerised when drawing conclusions from such an analysis for a single deformed nucleus, since the sizable number of spacings that can be obtained from a few rotational bands are not all independent.

  5. Axial asymmetry, finite particle number and the IBA

    SciTech Connect (OSTI)

    Casten, R.F.

    1984-01-01

    Although the IBA-1 contains no solutions corresponding to a rigid triaxial shape, it does contain an effective asymmetry. This arises from zero point motion in a ..gamma..-soft potential leading to a non-zero mean or rms ..gamma... Three aspects of this feature will be discussed: (1) The relation between IBA-1 calculations and the corresponding ..gamma... This point is developed in the context of the Consistent Q Formalism (CQF) of the IBA. (2) The dependence of this asymmetry on boson number, N, and the exploitation of this dependence to set limits on both the relative and absolute values of N for deformed nuclei. (3) The relation between this asymmetry and the triaxiality arising from the introduction of cubic terms into the IBA Hamiltonian. Various observables will be inspected in order both to determine their sensitivity to these two structural features and to explore empirical ways of distinguishing which origin of asymmetry applies in any given nucleus. 16 references.

  6. Site: Contract Name: Contractor: Contract Number: Contract Type:

    Office of Environmental Management (EM)

    Number: Contract Type: Total Estimated Contract Cost: Contract Base Period: Contract Option Period: Minimum Fee Target Fee Maximum Fee Performance Period Fee Available (N/A) Fee Earned (Equals 10% of Target) FY2005 $223,991 FY2006 $1,548,986 FY2007 $1,170,889 FY2008 $1,270,755 FY2009 $1,567,325 FY2010 $2,374,992 FY2011 $2,498,835 FY2012 $1,440,273 FY2013 $1,595,460 FY2014 $33,113,257 FY2015 $1,546,386 FY2016 $1,200,000 Cumulative Fee $49,551,149 N/A EM Contractor Fee Richland Operations Office -

  7. District of Columbia Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    3,436 144,151 145,524 145,938 146,712 147,877 1986-2014 Sales 130,048 130,888 129,674 129,641 129,942 1997-2014 Transported 14,103 14,636 16,264 17,071 17,935 1997-2014 Commercial Number of Consumers 10,288 9,879 10,050 9,771 9,963 10,049 1986-2014 Sales 6,429 6,494 6,478 6,636 6,665 1998-2014 Transported 3,450 3,556 3,293 3,327 3,384 1998-2014 Average Consumption per Consumer (Thousand Cubic Ft.) 1,818 1,877 1,681 1,572 1,730 1,741 1967-2014 Industrial Average Consumption per Consumer (Thousand

  8. CILC Studies with Comparative Analysis to Existing Plants L2.MPO.P7.06

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

    CILC Studies with Comparative Analysis to Existing Plants L2.MPO.P7.06 BRIAN KENDRICK Los Alamos National Laboratory VICTOR PETROV DANIEL WALTER ANNALISA MANERA University of Michigan CASL-U-2013-0 -000 CASL-U-2013-0224-000 L2.MPO.P7.06 ii REVISION LOG Revision Date Affected Pages Revision Description 0 09/30/2013 All Initial Issuance Document pages that are: Export Controlled ________________ ___________________________________ IP/Proprietary/NDA Controlled _____

  9. Evaluation of Computational Method of High Reynolds Number Slurry Flow for Caverns Backfilling

    SciTech Connect (OSTI)

    Bettin, Giorgia

    2015-05-01

    The abandonment of salt caverns used for brining or product storage poses a significant environmental and economic risk. Risk mitigation can in part be address ed by the process of backfilling which can improve the cavern geomechanical stability and reduce the risk o f fluid loss to the environment. This study evaluate s a currently available computational tool , Barracuda, to simulate such process es as slurry flow at high Reynolds number with high particle loading . Using Barracuda software, a parametric sequence of simu lations evaluated slurry flow at Re ynolds number up to 15000 and loading up to 25%. Li mitations come into the long time required to run these simulation s due in particular to the mesh size requirement at the jet nozzle. This study has found that slurry - jet width and centerline velocities are functions of Re ynold s number and volume fractio n The solid phase was found to spread less than the water - phase with a spreading rate smaller than 1 , dependent on the volume fraction. Particle size distribution does seem to have a large influence on the jet flow development. This study constitutes a first step to understand the behavior of highly loaded slurries and their ultimate application to cavern backfilling.

  10. THE STELLAR NUMBER DENSITY DISTRIBUTION IN THE LOCAL SOLAR NEIGHBORHOOD IS NORTH-SOUTH ASYMMETRIC

    SciTech Connect (OSTI)

    Yanny, Brian; Gardner, Susan

    2013-11-10

    We study the number density distribution of a sample of K and M dwarf stars, matched north and south of the Galactic plane within a distance of 2 kpc from the Sun, using observations from the Ninth Data Release of the Sloan Digital Sky Survey. We determine distances using the photometric parallax method, and in this context systematic effects exist which could potentially impact the determination of the number density profile with height from the Galactic planeand ultimately affect a number density north-south asymmetry. They include: (1) the calibration of the various photometric parallax relations, (2) the ability to separate dwarfs from giants in our sample, (3) the role of stellar population differences such as age and metallicity, (4) the ability to determine the offset of the Sun from the Galactic plane, and (5) the correction for reddening from dust in the Galactic plane, though our stars are at high Galactic latitudes. We find the various analyzed systematic effects to have a negligible impact on our observed asymmetry, and using a new and larger sample of stars we confirm and refine the earlier discovery of Widrow et al. of a significant Galactic north-south asymmetry in the stellar number density distribution.

  11. Search for baryon number violation in top-quark decays

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

    Chatrchyan, Serguei

    2014-02-20

    A search for baryon number violation (BNV) in top-quark decays is performed using pp collisions produced by the LHC at sqrt(s) = 8 TeV. The top-quark decay considered in this search results in one light lepton (muon or electron), two jets, but no neutrino in the final state. Data used for the analysis were collected by the CMS detector and correspond to an integrated luminosity of 19.5 inverse femtobarns. The event selection is optimized for top quarks produced in pairs, with one undergoing the BNV decay and the other the standard model hadronic decay to three jets. No significant excessmore » of events over the expected yield from standard model processes is observed. The upper limits at 95% confidence level on the branching fraction of the BNV top-quark decay are calculated to be 0.0016 and 0.0017 for the muon and the electron channels, respectively. Assuming lepton universality, an upper limit of 0.0015 results from the combination of the two channels. These limits are the first that have been obtained on a BNV process involving the top quark.« less

  12. Kubo relations and radiative corrections for lepton number washout

    SciTech Connect (OSTI)

    Bdeker, Dietrich; Laine, M. E-mail: laine@itp.unibe.ch

    2014-05-01

    The rates for lepton number washout in extensions of the Standard Model containing right-handed neutrinos are key ingredients in scenarios for baryogenesis through leptogenesis. We relate these rates to real-time correlation functions at finite temperature, without making use of any particle approximations. The relations are valid to quadratic order in neutrino Yukawa couplings and to all orders in Standard Model couplings. They take into account all spectator processes, and apply both in the symmetric and in the Higgs phase of the electroweak theory. We use the relations to compute washout rates at next-to-leading order in g, where g denotes a Standard Model gauge or Yukawa coupling, both in the non-relativistic and in the relativistic regime. Even in the non-relativistic regime the parametrically dominant radiative corrections are only suppressed by a single power of g. In the non-relativistic regime radiative corrections increase the washout rate by a few percent at high temperatures, but they are of order unity around the weak scale and in the relativistic regime.

  13. Turbulent mixing of a slightly supercritical van der Waals fluid at low-Mach number

    SciTech Connect (OSTI)

    Battista, F.; Casciola, C. M.; Picano, F.

    2014-05-15

    Supercritical fluids near the critical point are characterized by liquid-like densities and gas-like transport properties. These features are purposely exploited in different contexts ranging from natural products extraction/fractionation to aerospace propulsion. Large part of studies concerns this last context, focusing on the dynamics of supercritical fluids at high Mach number where compressibility and thermodynamics strictly interact. Despite the widespread use also at low Mach number, the turbulent mixing properties of slightly supercritical fluids have still not investigated in detail in this regime. This topic is addressed here by dealing with Direct Numerical Simulations of a coaxial jet of a slightly supercritical van der Waals fluid. Since acoustic effects are irrelevant in the low Mach number conditions found in many industrial applications, the numerical model is based on a suitable low-Mach number expansion of the governing equation. According to experimental observations, the weakly supercritical regime is characterized by the formation of finger-like structures the so-called ligaments in the shear layers separating the two streams. The mechanism of ligament formation at vanishing Mach number is extracted from the simulations and a detailed statistical characterization is provided. Ligaments always form whenever a high density contrast occurs, independently of real or perfect gas behaviors. The difference between real and perfect gas conditions is found in the ligament small-scale structure. More intense density gradients and thinner interfaces characterize the near critical fluid in comparison with the smoother behavior of the perfect gas. A phenomenological interpretation is here provided on the basis of the real gas thermodynamics properties.

  14. Searching for gluon number fluctuations effects in eA collisions

    SciTech Connect (OSTI)

    Kugeratski, M. S.; Gonalves, V. P.; Santana Amaral, J. T. de

    2014-11-11

    We propose to investigate the gluon number fluctuations effects in deep inelastic electron-ion scattering at high energies. We estimate the nuclear structure function F{sub 2}{sup A}(x,Q{sup 2}), as well the longitudinal and charm contributions, using a generalization for nuclear targets of the Golec-Biernat-Wusthoff (GBW) model which describes the electron proton HERA data. Here we consider that the nucleus at high energies acts as an amplifier of the physics of high parton densities. For a first investigation we study the scattering with Ca and Pb nuclei. Our preliminary results predict that the effects of gluon number fluctuations are small in the region of the future electron ion collider.

  15. DOCUMENT RELEASE FORM S (1) Document Number: RPP-RPT-42296

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

    FORM S (1) Document Number: RPP-RPT-42296 (2) Revision Number: 0 (3) Effective Date: 04122010 (4) Document Type: EQ Digital Image El Hard copy (a) Number of pages (including the...

  16. U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged...

    Gasoline and Diesel Fuel Update (EIA)

    Onshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged in Seismic Surveying...

  17. U.S. Lower 48 States Offshore Maximum Number of Active Crews...

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

    Offshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Lower 48 States Offshore Maximum Number of Active Crews Engaged in Seismic Surveying...

  18. New York Natural Gas Number of Gas and Gas Condensate Wells ...

    Gasoline and Diesel Fuel Update (EIA)

    Gas and Gas Condensate Wells (Number of Elements) New York 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...

  19. North Dakota Natural Gas Number of Gas and Gas Condensate Wells...

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

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

  20. West Virginia Natural Gas Number of Gas and Gas Condensate Wells...

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

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

  1. South Dakota Natural Gas Number of Gas and Gas Condensate Wells...

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

    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...

  2. Applications of Modern Pyrolysis Gas Chromatography for the Study...

    Office of Scientific and Technical Information (OSTI)

    Book: Applications of Modern Pyrolysis Gas Chromatography for the Study of Degradation and ... OSTI Identifier: 1124879 Report Number(s): LLNL-BOOK-646761 DOE Contract Number: ...

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

    Office of Scientific and Technical Information (OSTI)

    SAMQUA - Quantum Numbers of Compound Nuclear States for R-Matrix Analyses Citation Details In-Document Search Title: SAMQUA - Quantum Numbers of Compound Nuclear States for ...

  4. ORISE: Number of health physics degrees granted in 2013 has increased...

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

    Number of health physics degrees granted in 2013 has increased for undergraduates, ... OAK RIDGE, Tenn.-The number of college students graduating with majors in health physics ...

  5. SOLAR CYCLE 24: CURIOUS CHANGES IN THE RELATIVE NUMBERS OF SUNSPOT GROUP TYPES

    SciTech Connect (OSTI)

    Kilcik, A.; Yurchyshyn, V. B.; Ozguc, A.; Rozelot, J. P.

    2014-10-10

    Here, we analyze different sunspot group (SG) behaviors from the points of view of both the sunspot counts (SSCs) and the number of SGs, in four categories, for the time period of 1982 January-2014 May. These categories include data from simple (A and B), medium (C), large (D, E, and F), and decaying (H) SGs. We investigate temporal variations of all data sets used in this study and find the following results. (1) There is a very significant decrease in the large groups' SSCs and the number of SGs in solar cycle 24 (cycle 24) compared to cycles 21-23. (2) There is no strong variation in the decaying groups' data sets for the entire investigated time interval. (3) Medium group data show a gradual decrease for the last three cycles. (4) A significant decrease occurred in the small groups during solar cycle 23, while no strong changes show in the current cycle (cycle 24) compared to the previous ones. We confirm that the temporal behavior of all categories is quite different from cycle to cycle and it is especially flagrant in solar cycle 24. Thus, we argue that the reduced absolute number of the large SGs is largely, if not solely, responsible for the weak cycle 24. These results might be important for long-term space weather predictions to understand the rate of formation of different groups of sunspots during a solar cycle and the possible consequences for the long-term geomagnetic activity.

  6. 0{sup +} states in the large boson number limit of the Interacting Boson Approximation model

    SciTech Connect (OSTI)

    Bonatsos, Dennis; McCutchan, E. A.; Casten, R. F.

    2008-11-11

    Studies of the Interacting Boson Approximation (IBA) model for large boson numbers have been triggered by the discovery of shape/phase transitions between different limiting symmetries of the model. These transitions become sharper in the large boson number limit, revealing previously unnoticed regularities, which also survive to a large extent for finite boson numbers, corresponding to valence nucleon pairs in collective nuclei. It is shown that energies of 0{sub n}{sup +} states grow linearly with their ordinal number n in all three limiting symmetries of IBA [U(5), SU(3), and O(6)]. Furthermore, it is proved that the narrow transition region separating the symmetry triangle of the IBA into a spherical and a deformed region is described quite well by the degeneracies E(0{sub 2}{sup +}) = E(6{sub 1}{sup +}, E(0{sub 3}{sup +}) = E(10{sub 1}{sup +}), E(0{sub 4}{sup +}) = E(14{sub 1}{sup +}, while the energy ratio E(6{sub 1}{sup +})/E(0{sub 2}{sup +} turns out to be a simple, empirical, easy-to-measure effective order parameter, distinguishing between first- and second-order transitions. The energies of 0{sub n}{sup +} states near the point of the first order shape/phase transition between U(5) and SU(3) are shown to grow as n(n+3), in agreement with the rule dictated by the relevant critical point symmetries resulting in the framework of special solutions of the Bohr Hamiltonian. The underlying partial dynamical symmetries and quasi-dynamical symmetries are also discussed.

  7. Plasmoid instability in high-Lundquist-number magnetic reconnection

    SciTech Connect (OSTI)

    Huang, Yi-Min; Bhattacharjee, A.

    2013-05-15

    Our understanding of magnetic reconnection in resistive magnetohydrodynamics has gone through a fundamental change in recent years. The conventional wisdom is that magnetic reconnection mediated by resistivity is slow in laminar high Lundquist (S) plasmas, constrained by the scaling of the reconnection rate predicted by Sweet-Parker theory. However, recent studies have shown that when S exceeds a critical value ?10{sup 4}, the Sweet-Parker current sheet is unstable to a super-Alfvnic plasmoid instability, with a linear growth rate that scales as S{sup 1/4}. In the fully developed statistical steady state of two-dimensional resistive magnetohydrodynamic simulations, the normalized average reconnection rate is approximately 0.01, nearly independent of S, and the distribution function f(?) of plasmoid magnetic flux ? follows a power law f(?)??{sup ?1}. When Hall effects are included, the plasmoid instability may trigger onset of Hall reconnection even when the conventional criterion for onset is not satisfied. The rich variety of possible reconnection dynamics is organized in the framework of a phase diagram.

  8. Emergence of pygmy dipole resonances: Magic numbers and neutron skins

    SciTech Connect (OSTI)

    Inakura, Tsunenori; Nakatsukasa, Takashi; Yabana, Kazuhiro

    2011-08-15

    The pygmy dipole resonances (PDR) for even-even nuclei in 8{<=}Z{<=}40 are studied performing a systematic calculation of the random-phase approximation with the Skyrme functional of SkM*. The calculation is fully self-consistent and does not assume any symmetry in the nuclear shape of the ground state. In every isotopic chain, the PDR emerges by showing a peak of the E1 strength at energies less than 10 MeV. The E1 strength of the PDR strongly depends on the position of the Fermi level and shows a clear correlation with the occupation of the orbits with the orbital angular momenta less than 3({h_bar}/2{pi}) (l{<=}2). We also found a strong correlation between the isotopic dependence of the neutron skin thickness and the pygmy dipole strength. The fraction of the energy-weighted strength exhausted by the PDR and the neutron skin thickness show a linear correlation with the universal rate of about 0.2 fm{sup -1}.

  9. Change Number

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

    Date: M-16-04-04 Federal Facility Agreement and Consent Order Change Control Form Do not use blue ink. Type or print using black ink. May 27, 2004 Originator: K. A. Klein Phone:...

  10. Change Number

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

    Tank Space Evaluation and Milestone M-46-01 for Ecology concurrence of Additional Tank Acquisition and incorporates those requirements into modifications pursuant to Milestone...

  11. Change Number

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

    Date Approved Disapproved L. Hoffman, Ecology Interim Director Date Approved Disapproved Tri-Party...

  12. Change Number

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

    piping, valve pits, diversion boxes, vaults, inactive miscellaneous underground storage tanks IMUST etc.), contaminated soils, and contaminated groundwater. The process...

  13. Change Number

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

    6-02-01 Federal Facility Agreement and Consent Order Change Control Form Do not use blue ink. Type or print using black ink. Date 2/11/2002 Originator Phone P. M. Knollmeyer, Assistant Manager Central Plateau 376-7435 Class of Change [X] I - Signatories [ ] II - Executive Manager [ ] III - Project Manager Change Title Modification of the M-016 Series Milestones Description/Justification of Change The Hanford Federal Facility Agreement and Consent Order (TPA) contains commitments for the U.S.

  14. Change Number

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

    5-02-01 Federal Facility Agreement and Consent Order Change Control Form Do not use blue ink. Type or print using black ink. Date 2/5/2002 Originator Phone P. M. Knollmeyer, RL Assistant Manager Central Plateau 376-7435 Class of Change [ I - Signatories [X ] II - Executive Manager [ ] III - Project Manager Change Title Modify Tri-Party Agreement Milestone Series M-015 in Accordance with the Central Plateau Agreement In Principle Description/Justification of Change The Hanford Federal Facility

  15. Change Number

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

    E KEY INDIVIDUALS U.S. Environmental Protection Agency Region 10 Washington State Department of Ecology U.S. Department of Energy, Richland Operations Executive Managers Program Manager for the Hanford Project Office (509) 376-6865 Program Manager for the Nuclear Waste Program (509) 372-7950 Assistant Manager for the Central Plateau (509) 373-9971 Assistant Manager for the Office of River Protection, Waste Treatment and Immobilization Plant (509) 372-3864 Assistant Manager for the Office of

  16. Change Number

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

    13-02-01 Federal Facility Agreement and Consent Order Change Control Form Do not use blue ink. Type or print using black ink. Date 2/11/2002 Originator Phone P. M. Knollmeyer, Assistant Manager Central Plateau 376-7435 Class of Change [X] I - Signatories [ ] II - Executive Manager [ ] III - Project Manager Change Title Modification of the Central Plateau 200 Area Non-Tank Farm Remedial Action Work Plans (M-013 Series Milestones) Description/Justification of Change The Hanford Federal Facility

  17. Change Number

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

    20-02-01 Federal Facility Agreement and Consent Order Change Control Form Do not use blue ink. Type or print using black ink. Date 2/11/2002 Originator Phone P. M. Knollmeyer, RL Assistant Manager Central Plateau 376-7435 Class of Change [X] I - Signatories [ ] II - Executive Manager [ ] III - Project Manager Change Title Modify Tri-Party Agreement Milestone Series M-020 in Accordance with the Central Plateau Agreement In Principle Description/Justification of Change The Hanford Federal Facility

  18. Section Number:

    Energy Savers [EERE]

    QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES Pursuant to the contract clause entitled, "Laws, Regulations, and DOE Directives," the following list of directives is applicable to this contract. List A Pursuant to the contract clause entitled, "Laws, Regulations, and DOE Directives," the Contractor shall comply with the requirements of applicable Federal, State, and local laws and regulations, unless relief has been granted in writing by the appropriate

  19. Report Number

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

    design whereby the reactor core is submerged in molten sodium. Figure 1 shows the core geometry model constructed using the frameworks tools Coregen 4 and MeshKit 4....

  20. Design studies for the next generation electron ion colliders

    SciTech Connect (OSTI)

    Sayed, Hisham Kamal; Bogacz, Slawomir A.; Krafft, Geoffrey A.

    2014-04-01

    The next generation Electron Ion Collider (EIC) at Thomas Jefferson National Accelerator Facility (JLAB) utilizes a figure-8 shaped ion and electron rings. EIC has the ability to preserve the ion polarization during acceleration, where the electron ring matches in footprint with a figure-8 ion ring. The electron ring is designed to deliver a highly polarized high luminous electron beam at interaction point (IP). The main challenges of the electron ring design are the chromaticity compensation and maintaining high beam polarization of 70% at all energies 311 GeV without introducing transverse orbital coupling before the IP. The very demanding detector design limits the minimum distance between the final focus quadrupole and the interaction point to 3.5 m which results in a large ? function inside the final focus quadrupoles leading to increased beam chromaticity. In this paper, we present a novel chromaticity compensation scheme that mitigates IP chromaticity by a compact chromaticity compensation section with multipole magnet components. In addition, a set of spin rotators are utilized to manipulate the polarization vector of the electron beam in order to preserve the beam polarization. The spin rotator solenoids introduce undesired coupling between the horizontal and vertical betatron motion of the beam. We introduce a compact and modular orbit decoupling insert that can fit in the limited space of the straight section in the figure-8 ring. We show a numerical study of the figure-8 ring design with the compact straight section, which includes the interaction region, chromaticity compensation section, and the spin rotators, the figure-8 design performance is evaluated with particle tracking.

  1. Lepton number violation as a key to low-scale leptogenesis

    SciTech Connect (OSTI)

    Abada, Asmaa; Arcadi, Giorgio; Domcke, Valerie; Lucente, Michele

    2015-11-24

    We explore the possibility of having a successful leptogenesis through oscillations between new sterile fermion states added to the Standard Model field content in a well motivated framework, naturally giving rise to the required mass splitting between the sterile states through a small total lepton number violation. We propose a framework with only two sterile states forming a pseudo-Dirac state, in which their mass difference as well as the smallness of the neutrino masses are due to two sources of lepton number violation with ΔL=2, corresponding to an Inverse Seesaw framework extended by a Linear Seesaw mass term. We also explore the pure Inverse Seesaw mechanism in its minimal version, requiring at least four new sterile states in order to comply with neutrino data. Our analytical and numerical studies reveal that one can have a successful leptogenesis at the temperature of the electroweak scale through oscillations between the two sterile states with a “natural” origin of the strong degeneracy in their mass spectrum. We also revisit the analytical expression of the baryon asymmetry of the Universe in the weak washout regime of this framework.

  2. Fluctuations of the number of particles within a given volume in cold quantum gases

    SciTech Connect (OSTI)

    Astrakharchik, G. E.; Combescot, R.; Pitaevskii, L. P.

    2007-12-15

    In ultracold gases many experiments use atom imaging as a basic observable. The resulting image is averaged over a number of realizations and mostly only this average is used. Only recently the noise has been measured to extract physical information. In the present paper we investigate the quantum noise arising in these gases at zero temperature. We restrict ourselves to the homogeneous situation and study the fluctuations in particle number found within a given volume in the gas, and more specifically inside a sphere of radius R. We show that zero-temperature fluctuations are not extensive and the leading term scales with sphere radius R as R{sup 2} ln R (or ln R) in three- (or one-) dimensional systems. We calculate systematically the next term beyond this leading order. We consider first the generic case of a compressible superfluid. Then we investigate the whole Bose-Einstein-condensation (BEC) -BCS crossover, and in particular the limiting cases of the weakly interacting Bose gas and of the free Fermi gas.

  3. Baryon number and electric charge fluctuations in Pb+Pb collisions at relativistic energies

    SciTech Connect (OSTI)

    Konchakovski, V. P.; Gorenstein, M. I.; Bratkovskaya, E. L.; Stoecker, H.

    2006-12-15

    Event-by-event fluctuations of the net baryon number and electric charge in nucleus-nucleus collisions are studied in Pb+Pb at SPS energies within the Hadron-String Dynamics (HSD) transport model. We reveal an important role of the fluctuations in the number of target nucleon participants. They strongly influence all measured fluctuations even in the samples of events with rather rigid centrality trigger. This fact can be used to check different scenarios of nucleus-nucleus collisions by measuring the multiplicity fluctuations as a function of collision centrality in fixed kinematical regions of the projectile and target hemispheres. The HSD results for the event-by-event fluctuations of electric charge in central collisions at 20A,30A,40A,80A, and 158A GeV are in a good agreement with the NA49 experimental data and considerably larger than expected in a quark-gluon plasma. This demonstrates that the distortions of the initial fluctuations by the hadronization phase and, in particular, by the final resonance decays dominate the observable fluctuations.

  4. Docket No. EERE-2011-BT-NOA-0067 and RIN Number 1904-AC52 Ex...

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

    and RIN Number 1904-AC52 Ex parte Communication Docket No. EERE-2011-BT-NOA-0067 and RIN Number 1904-AC52 Ex parte Communication This memorandum for the record provides a ...

  5. Property:NEPA LeadAgencyDocNumber | Open Energy Information

    Open Energy Info (EERE)

    LeadAgencyDocNumber Jump to: navigation, search Property Name NEPA LeadAgencyDocNumber Property Type String This is a property of type String. Pages using the property "NEPA...

  6. U.S. Lower 48 States Offshore Maximum Number of Active Crews...

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

    Offshore 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 167...

  7. U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged...

    Gasoline and Diesel Fuel Update (EIA)

    Onshore 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 435 512...

  8. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  9. Fact #738: July 30, 2012 Number of New Light Vehicle Dealerships Decreasing

    Broader source: Energy.gov [DOE]

    The number of franchised new light vehicle dealerships peaked in 1949 with more than 49,000 dealers. By 2012, the number is less than half of that – 17,540 dealers.

  10. PRESSURE RELIEF DEVICE DATA SHEET FORM PS-5 Pressure System Number: Date:

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

    RELIEF DEVICE DATA SHEET FORM PS-5 Pressure System Number: Date: Pressure System Name: Pressure Vessel Number (if Applicable): Device installed directly on vessel?: __Yes __No Code: System Fluid: Code Year: Fluid State: Fluid Category: RELIEF DEVICE DATA Device Type ___Safety Relief Valve ____Rupture Disk ___Other (specify) Certification Type: ___ASME ___CE/PED ___Other (specify) Manufacturer Rated Flow Capacity: Part Number Converted Flow Capacity: Serial Number Set Pressure Inspection/Test

  11. Local Energy Assurance Planning: Map of States with Number of Cities

    Energy Savers [EERE]

    Selected | Department of Energy States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities selected for Local Energy Assurance Planning grants and the number of cities selected within those States under the American Recovery and Reinvestment Act. PDF icon Local Energy Assurance Planning: Map of States with Number of Cities Selected More Documents & Publications Local

  12. Picosecond pulses produced by mode locking a Nd:glass laser with Kodak dye number26

    SciTech Connect (OSTI)

    Schiller, N.H.; Foresti, M.; Alfano, R.R.

    1985-05-01

    Kodak dye number26 was used to generate picosecond laser pulses by mode locking a Nd:glass laser. The intensity profiles and characteristics of the pulses were compared with those of pulses emitted using dyes number5 and number9860.

  13. Particle-number fluctuations and neutron-proton pairing effects on proton and neutron radii of even-even N Almost-Equal-To Z nuclei

    SciTech Connect (OSTI)

    Douici, M.; Allal, N. H.; Fellah, M.; Benhamouda, N.; Oudih, M. R.

    2012-10-20

    The particle-number fluctuation effect on the root-mean-square (rms) proton and neutron radii of even-even N Almost-Equal-To Z nuclei is studied in the isovector neutron-proton (np) pairing case using an exact particle-number projection method and the Woods-Saxon model.

  14. Extended Glauber Model of Antiproton-Nucleus Annihilation for All Energies and Mass Numbers

    SciTech Connect (OSTI)

    Lee, Teck-Ghee; Wong, Cheuk-Yin

    2014-01-01

    Previous analytical formulas in the Glauber model for high-energy nucleus-nucleus collisions developed by Wong are utilized and extended to study Antiproton-nucleus annihilations for both high and low energies, after taking into account the effects of Coulomb and nuclear interactions, and the change of the antiproton momentum inside a nucleus. The extended analytical formulas capture the main features of the experimental antiproton-nucleus annihilation cross sections for all energies and mass numbers. At high antiproton energies, they exhibit the granular property for the lightest nuclei and the black-disk limit for the heavy nuclei. At low antiproton energies, they display the effect of the antiproton momentum increase due to the nuclear interaction for the light nuclei, and the effect of the magnification due to the attractive Coulomb interaction for the heavy nuclei.

  15. Search for baryon-number and lepton-number violating decays of $Lambda$ hyperons using the CLAS detector at Jefferson Laboratory

    SciTech Connect (OSTI)

    McCracken, Michael E.

    2015-10-09

    We present a search for ten baryon-number violating decay modes of $\\Lambda$ hyperons using the CLAS detector at Jefferson Laboratory. Nine of these decay modes result in a single meson and single lepton in the final state ($\\Lambda \\rightarrow m \\ell$) and conserve either the sum or the difference of baryon and lepton number ($B \\pm L$). The tenth decay mode ($\\Lambda \\rightarrow \\bar{p}\\pi^+$) represents a difference in baryon number of two units and no difference in lepton number. We observe no significant signal and set upper limits on the branching fractions of these reactions in the range $(4-200)\\times 10^{-7}$ at the $90\\%$ confidence level.

  16. Search for baryon-number and lepton-number violating decays of $Lambda$ hyperons using the CLAS detector at Jefferson Laboratory

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

    McCracken, Michael E.

    2015-10-09

    We present a search for ten baryon-number violating decay modes of $\\Lambda$ hyperons using the CLAS detector at Jefferson Laboratory. Nine of these decay modes result in a single meson and single lepton in the final state ($\\Lambda \\rightarrow m \\ell$) and conserve either the sum or the difference of baryon and lepton number ($B \\pm L$). The tenth decay mode ($\\Lambda \\rightarrow \\bar{p}\\pi^+$) represents a difference in baryon number of two units and no difference in lepton number. We observe no significant signal and set upper limits on the branching fractions of these reactions in the range $(4-200)\\times 10^{-7}$moreat the $90\\%$ confidence level.less

  17. Search for baryon-number and lepton-number violating decays of Λ hyperons using the CLAS detector at Jefferson Laboratory

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

    McCracken, Michael E.

    2015-10-09

    We present a search for ten baryon-number violating decay modes of Λ hyperons using the CLAS detector at Jefferson Laboratory. Nine of these decay modes result in a single meson and single lepton in the final state (Λ → mΙ) and conserve either the sum or the difference of baryon and lepton number (Β ± L). The tenth decay mode (Λ → p¯π+) represents a difference in baryon number of two units and no difference in lepton number. Furthermore, we observe no significant signal and set upper limits on the branching fractions of these reactions in the range (4 –more » 200) x 107 at the 90% confidence level.« less

  18. Using Hyper-Dual Numbers To Construct Parameterized Reduced-Order Models.

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Using Hyper-Dual Numbers To Construct Parameterized Reduced-Order Models. Citation Details In-Document Search Title: Using Hyper-Dual Numbers To Construct Parameterized Reduced-Order Models. Abstract not provided. Authors: Brake, Matthew Robert ; Fike, Jeffrey A. ; Topping, Sean D. Publication Date: 2014-10-01 OSTI Identifier: 1242114 Report Number(s): SAND2014-19346C 540913 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation:

  19. 6-D weak-strong beam-beam simulation study of proton lifetime in presence of head-on beam-beam compensation in the RHIC

    SciTech Connect (OSTI)

    Luo, Y.; Fischer, W.

    2010-08-01

    In this note we summarize the calculated particle loss of a proton bunch in the presence of head-on beam-beam compensation in the Relativistic Heavy Ion Collider (RHIC). To compensate the head-on beam-beam effect in the RHIC 250 GeV polarized proton run, we are introducing a DC electron beam with the same transverse profile as the proton beam to collide with the proton beam. Such a device is called an electron lens (e-lens). In this note we first present the optics and beam parameters and the tracking setup. Then we calculate and compare the particle loss of a proton bunch with head-on beam-beam compensation, phase advance of k{pi} between IP8 and the center of the e-lens and second order chromaticity correction. We scanned the proton beam's linear chromaticity, working point and bunch intensity. We also scanned the electron beam's intensity, transverse beam size. The effect of the electron-proton transverse offset in the e-lens was studied. In the study 6-D weak-strong beam-beam interaction model a la Hirata is used for proton collisions at IP6 and IP8. The e-lens is modeled as 8 slices. Each slice is modeled with as drift - (4D beam-beam kick) - drift.

  20. Lepton number violating processes mediated by Majorana neutrinos at hadron colliders

    SciTech Connect (OSTI)

    Kovalenko, Sergey; Lu Zhun; Schmidt, Ivan [Departamento de Fisica, Universidad Tecnica Federico, Santa Maria, Casilla 110-V, Valparaiso (Chile) and Center of Subatomic Physics, Valparaiso (Chile)

    2009-10-01

    We study the lepton number violating like-sign dilepton processes h{sub 1}h{sub 2}{yields}l{sup {+-}}l{sup '{+-}}jjX and h{sub 1}h{sub 2}{yields}l{sup {+-}}l{sup '{+-}}W{sup {+-}}X, mediated by heavy GeV scale Majorana neutrinos. We focus on the resonantly enhanced contributions with a nearly on-mass-shell Majorana neutrino in the s channel. We study the constraints on like-sign dilepton production at the Tevatron and the LHC on the basis of the existing experimental limits on the masses of heavy neutrinos and their mixings U{sub {alpha}}{sub N} with {alpha}={nu}{sub e}, {nu}{sub {mu}}, {nu}{sub {tau}}. Special attention is paid to the constraints from neutrinoless double beta decay. We note that searches for like-sign e{sup {+-}}e{sup {+-}} events at Tevatron and LHC may provide evidence of CP violation in the neutrino sector. We also discuss the conditions under which it is possible to extract individual constraints on the mixing matrix elements in a model independent way.

  1. NUMBERED MEMORANDUM Records Management 2007-08, DOE-STD-4001-2000 |

    Office of Environmental Management (EM)

    Department of Energy NUMBERED MEMORANDUM Records Management 2007-08, DOE-STD-4001-2000 NUMBERED MEMORANDUM Records Management 2007-08, DOE-STD-4001-2000 Design Criteria Standard For Eletronic Records Management Software Applications PDF icon NUMBERED MEMORANDUM Records Management 2007-08, DOE-STD-4001-2000 More Documents & Publications DOE-STD-4001-2000 Electronic Records Management Software Applications Design Criteria Standard Technical Standards, DOE Orders and Applicable CFRs/DEAR

  2. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Michael Brisson

    Broader source: Energy.gov [DOE]

    Commenter: Michael Brisson 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  3. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- William R. Kleem

    Broader source: Energy.gov [DOE]

    Commenter: William R. Kleem 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  4. 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP -

    Office of Environmental Management (EM)

    Cheryl Floreen | Department of Energy Cheryl Floreen 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Cheryl Floreen Commenter: Cheryl Floreen 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011 PDF icon 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Cheryl Floreen More Documents & Publications 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Thomas Peterson 10 CFR 850, Request

  5. 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Marc

    Office of Environmental Management (EM)

    Kolanz | Department of Energy Marc Kolanz 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Marc Kolanz Commenter: Marc Kolanz 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011 PDF icon 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Marc Kolanz More Documents & Publications 10 CFR 850, Request for Information - Docket Number: HS-RM-10-CBDPP - Michael Brisson 10 CFR 850, Request for Information -

  6. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Thomas Peterson

    Broader source: Energy.gov [DOE]

    Commenter: Thomas Peterson 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  7. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Cameron Anderson

    Broader source: Energy.gov [DOE]

    Commenter: Cameron Anderson 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  8. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Mario Moreno

    Broader source: Energy.gov [DOE]

    Commenter: Mario Moreno 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  9. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Paul A. Schulte

    Broader source: Energy.gov [DOE]

    Commenter: Paul A. Schulte 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  10. Bad Estimates as a Function of Exceeding the MCNP Random Number Stride

    SciTech Connect (OSTI)

    Booth, Thomas E.

    2014-05-05

    Examples of bad MCNP estimates resulting from exceeding the MCNP random number stride are given for a simple infinite medium problem.

  11. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Kenneth Meyer

    Broader source: Energy.gov [DOE]

    Commenter: Kenneth Meyer 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  12. Ex Parte Communications, Docket Number EERE-2008-BT-STD-0005...

    Office of Environmental Management (EM)

    discuss the Notice of Proposed Rulemaking (NOPR) for Energy Conservation Standards for Battery Chargers and External Power Supplies, Docket Number EERE-2008-BT-STD-0005, RIN...

  13. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Curtis Valle

    Broader source: Energy.gov [DOE]

    Commenter: Curtis Valle 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  14. Alaska Maximum Number of Active Crews Engaged in Three-Dimensional Seismic

    Gasoline and Diesel Fuel Update (EIA)

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

  15. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Mark Strauch

    Broader source: Energy.gov [DOE]

    Commenter: Mark Strauch 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  16. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Faye Vleger

    Broader source: Energy.gov [DOE]

    Commenter: Faye Vleger 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  17. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Roby Enge

    Broader source: Energy.gov [DOE]

    Commenter: Roby Enge 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  18. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- John Walter

    Broader source: Energy.gov [DOE]

    Commenter: John Walter 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  19. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Troy Bodily

    Broader source: Energy.gov [DOE]

    Commenter: Troy Bodily 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011

  20. 10 CFR 850, Request for Information- Docket Number: HS-RM-10-CBDPP- Mark Fisher

    Broader source: Energy.gov [DOE]

    Commenter: Mark Fisher 10 CFR 850 - Request for Information Docket Number: HS-RM-10-CBDPP Comment Close Date: 2/22/2011