National Library of Energy BETA

Sample records for order case number

  1. Galaxy number counts to second order and their bispectrum

    SciTech Connect

    Dio, Enea Di; Durrer, Ruth; Marozzi, Giovanni; Montanari, Francesco E-mail: Ruth.Durrer@unige.ch E-mail: Francesco.Montanari@unige.ch

    2014-12-01

    We determine the number counts to second order in cosmological perturbation theory in the Poisson gauge and allowing for anisotropic stress. The calculation is performed using an innovative approach based on the recently proposed ''geodesic light-cone'' gauge. This allows us to determine the number counts in a purely geometric way, without using Einstein's equation. The result is valid for general dark energy models and (most) modified gravity models. We then evaluate numerically some relevant contributions to the number counts bispectrum. In particular we consider the terms involving the density, redshift space distortion and lensing.

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

    SciTech Connect

    Fike, Jeffrey A.; Brake, Matthew Robert

    2013-10-01

    The goal of most computational simulations is to accurately predict the behavior of a real, physical system. Accurate predictions often require very computationally expensive analyses and so reduced order models (ROMs) are commonly used. ROMs aim to reduce the computational cost of the simulations while still providing accurate results by including all of the salient physics of the real system in the ROM. However, real, physical systems often deviate from the idealized models used in simulations due to variations in manufacturing or other factors. One approach to this issue is to create a parameterized model in order to characterize the effect of perturbations from the nominal model on the behavior of the system. This report presents a methodology for developing parameterized ROMs, which is based on Craig-Bampton component mode synthesis and the use of hyper-dual numbers to calculate the derivatives necessary for the parameterization.

  3. 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 Craig-Bampton component mode synthesis and the use of hyper-dual numbers to calculate the ...

  4. First and second order approximations to stage numbers in multicomponent enrichment cascades

    SciTech Connect

    Scopatz, A.

    2013-07-01

    This paper describes closed form, Taylor series approximations to the number product stages in a multicomponent enrichment cascade. Such closed form approximations are required when a symbolic, rather than a numeric, algorithm is used to compute the optimal cascade state. Both first and second order approximations were implemented. The first order solution was found to be grossly incorrect, having the wrong functional form over the entire domain. On the other hand, the second order solution shows excellent agreement with the 'true' solution over the domain of interest. An implementation of the symbolic, second order solver is available in the free and open source PyNE library. (authors)

  5. Observed galaxy number counts on the lightcone up to second order: I. Main result

    SciTech Connect

    Bertacca, Daniele; Maartens, Roy; Clarkson, Chris E-mail: roy.maartens@gmail.com

    2014-09-01

    We present the galaxy number overdensity up to second order in redshift space on cosmological scales for a concordance model. The result contains all general relativistic effects up to second order that arise from observing on the past light cone, including all redshift effects, lensing distortions from convergence and shear, and contributions from velocities, Sachs-Wolfe, integrated SW and time-delay terms. This result will be important for accurate calculation of the bias on estimates of non-Gaussianity and on precision parameter estimates, introduced by nonlinear projection effects.

  6. Observed galaxy number counts on the lightcone up to second order: II. Derivation

    SciTech Connect

    Bertacca, Daniele; Maartens, Roy; Clarkson, Chris E-mail: roy.maartens@gmail.com

    2014-11-01

    We present a detailed derivation of the observed galaxy number over-density on cosmological scales up to second order in perturbation theory. We include all relativistic effects that arise from observing on the past lightcone. The derivation is in a general gauge, and applies to all dark energy models (including interacting dark energy) and to metric theories of modified gravity. The result will be important for accurate cosmological parameter estimation, including non-Gaussianity, since all projection effects need to be taken into account. It also offers the potential for new probes of General Relativity, dark energy and modified gravity. This paper accompanies Paper I which presents the key results for the concordance model in Poisson gauge.

  7. ORDER

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

    PP&L EnergyPlus Company Order No. EA-210 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C. §824a(e)). On May 4, 1999, PP&L EnergyPlus Company (PP&L EnergyPlus) applied to the Office of Fossil Energy (FE) of the Department of Energy (DOE) for authorization to transmit electric energy to Canada as a power marketer. PP&L EnergyPlus, a limited

  8. Nevada test site underground storage tank number 12-13-1: Nevada division of emergency management case number H931130E corrective action unit 450. Closure report

    SciTech Connect

    1997-01-01

    The project site was identified as an abandoned Underground Storage Tank (UST) to be closed under the Department of Energy/Nevada Operations Office (DOE/NV) Environmental Restoration Division (ERD) Program during Fiscal Year 1993. The United States Environmental Protection Agency (EPA) requires that before permanent closure is completed an assessment of the site must take place. The Nevada Division of Environmental Protection (NDEP) requires assessment and corrective actions for a petroleum substance in the soil which exceeds 100 milligrams per kilogram (mg/kg). Subsequent to the tank removal, a hydrocarbon release was identified at the site. The release was reported to the NDEP by DOE/NV on November 30, 1993. Nevada Division of Environmental Management (NDEM) Case Number H931130E was assigned. This final closure report documents the assessment and corrective actions taken for the hydrocarbon release identified at the site. The Notification of Closure, EPA Form 7530-1 dated March 22, 1994, is provided in Appendix A. A 45-day report documenting the notification for a hydrocarbon release was submitted to NDEP on April 6, 1994.

  9. IDC Reengineering Phase 2 & 3 Rough Order of Magnitude (ROM) Cost Estimate Summary (Leveraged NDC Case).

    SciTech Connect

    Harris, James M.; Prescott, Ryan; Dawson, Jericah M.; Huelskamp, Robert M.

    2014-11-01

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, based on leveraging a fully funded, Sandia executed NDC Modernization project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  10. 1982 Orders

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

    DOCKET FE CITE DATE NUMBER APPLICANT NAME ORDER NO. 70116.ERA 121482 82-04-LNG PhillipsMarathon 49 70552.ERA 113082 82-09-NG Northern Natural Gas 48 70541.ERA 110182...

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

    SciTech Connect

    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.

  12. Toxic Substances Control Act (TSCA)-PMN file: ASCII text data. TSCA chemical substances inventory: PMN number to EPA accession number link, August 1996 (for microcomputers). Data file

    SciTech Connect

    1996-08-01

    The PMN Number to EPA Accession Number Link Diskette provides a cross-reference of these numbers for commenced PMNs on the confidential portion of the TSCA Master Inventory File. Neither this cross-reference nor the additional information included is TSCA Confidential Business Information. Provided on the diskette for each confidential commenced PMN are the PMN Case Number, EPA Accession Number, Generic Name, and EPA special flags. The sequence of the file is in ascending PMN case Number order with `P` case numbers sorted first, followed by `Y` case numbers.

  13. Note: Matching index technique for avoiding higher order mode resonance in accelerators: INDUS-2 accelerator as a case study

    SciTech Connect

    Jain, V.; Joshi, S. C.; Bhandarkar, U. V.; Krishnagopal, S.; Centre for Excellence in Basic Sciences, Mumbai 400098

    2013-08-15

    Resonance between circulating beam frequencies and RF cavity Higher Order Modes (HOMs) of accelerators can lead to coupled-bunch instabilities. Shifting these HOMs to avoid the resonance is a topic of active interest. A study has been carried out for the accelerating cavities of the INDUS-2. For quantitative measure of deciding which modes have to be moved and by how much, we introduce a new index called the matching index (I{sub M}), as a measure of how close a HOM is to the nearest beam mode. Depending on the value of I{sub M}, the operating scenarios are classified as safe and unsafe.

  14. Toxic Substances Control Act (TSCA) chemical substances inventory: PMN number to EPA accession number link (for microcomputers). Data file

    SciTech Connect

    1995-11-01

    The PMN Number to EPA Accession Number Link Diskette provides a cross-reference of these numbers for commenced PMNs on the confidential portion of the TSCA Master Inventory File. Neither this cross-reference nor the additional information included is TSCA Confidential Business Information. Provided on the diskette for each confidential commenced PMN are the PMN Case Number, EPA Accession Number, Generic Name, and EPA special flags. The sequence of the file is in ascending PMN Case Number order with `P` case numbers sorted first, followed by `Y` case numbers. For more detailed information on the confidential portion of the TSCA Inventory, including generic names, users can consult the introductory material of the printed TSCA Inventory: 1985 Edition and its 1990 Supplement. New versions of this file may be issued in the future. No search software is provided with this DOS formatted diskette.

  15. Request Number:

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

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

  16. Change Number

    U.S. Department of Energy (DOE) - all 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:...

  17. Change Number

    U.S. Department of Energy (DOE) - all 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.

  18. (Document Number)

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

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

  19. Change Number

    U.S. Department of Energy (DOE) - all 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

  20. Change Number

    U.S. Department of Energy (DOE) - all 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

  1. Change Number

    U.S. Department of Energy (DOE) - all 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

  2. TASK ORDER

    National Nuclear Security Administration (NNSA)

    NA0000XXX Task Order No: DE-DT000XXXX Statement of Work August 7, 2015 Task Order Title: Design, Integration, Construction, Communications, and Engineering (DICCE) Services for Port of Cat Lai, Vietnam. Scope: The Contractor shall design, construct, and integrate fully functional portal monitor and communications systems at designated sites in Vietnam. * Port of Cat Lai Requirements Documents: The following task order requirements describe key milestones and deliverables. For a more complete

  3. Ordering Information

    Gasoline and Diesel Fuel Update

    coal industry Natural gas trade (Table 4.3) Ordering Information This publication and other Energy Information Administration (EIA) publications may be purchased from the...

  4. Toxic Substances Control Act (TSCA) chemical substances inventory: PMN number to EPA accession number link, February 1996 (for microcomputers). Data file

    SciTech Connect

    1996-02-01

    The PMN Number to EPA Accession Number Link Diskette provides a cross-reference of these numbers for commenced PMNs on the confidential portion of the TSCA Master Inventory File. Neither this cross-reference nor the additional information included is TSCA Confidential Business Information. Provided on the diskette for each confidential commenced PMN are the PMN Case Number, EPA Accession Number, Generic Name, an EPA special flags. The sequence of the file is in ascending PMN case Number order with `P` case numbers sorted first, followed by `Y` case numbers. For more detailed information on the confidential portion of the TSCA Inventory, including generic names, users can consult the introductory material of the printed TSCA Inventory: 1985 Edition (PB87-129409) and its 1990 Supplement (PB91-159665 and PB91-145458). New versions of this file may be issued in the future. No search software is provided with this DOS formatted diskette.

  5. Uterine Artery Embolization in 101 Cases of Uterine Fibroids: Do Size, Location, and Number of Fibroids Affect Therapeutic Success and Complications?

    SciTech Connect

    Firouznia, Kavous Ghanaati, Hossein; Jalali, Amir H.; Shakiba, Madjid

    2008-05-15

    The purpose of this study was to evaluate whether the size, location, or number of fibroids affects therapeutic efficacy or complications of uterine artery embolization (UAE). Patients with symptomatic uterine fibroids (n = 101) were treated by selective bilateral UAE using 500- to 710-{mu}m polyvinyl alcohol (PVA) particles. Baseline measures of clinical symptoms, sonography, and MRI taken before the procedure were compared to those taken 1, 3, 6, and 12 months later. Complications and outcomes were analyzed for associations with fibroid size, location, and number. Reductions in mean fibroid volume were similar in patients with single (66.6 {+-} 21.5%) and multiple (67.4 {+-} 25.0%) fibroids (p-value = 0.83). Menstrual improvement occurred in patients with single (93.3%) and multiple (72.2%) fibroids (p = 0.18). Changes in submucosal and other fibroids were not significantly different between the two groups (p's > 0.56). Linear regression analysis between primary fibroid volume as independent variable and percentage reduction of fibroid volume after 1 year yielded an R{sup 2} of 0.083 and the model coefficient was not statistically significant (p = 0.072). Multivariate regression models revealed no statistically or clinically significant coefficients or odds ratios for three independent variables (primary fibroid size, total number, and fibroid location) and all outcome variables (percent reduction of uterus and fibroid volumes in 1 year, improvement of clinical symptoms [menstrual, bulk related, and urinary] in 1 year, and complications after UAE). In conclusion, neither the success rate nor the probability of complications was affected by the primary fibroid size, location, or total number of fibroids.

  6. Departmental Business Instrument Numbering System

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

    2005-01-27

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

  7. Maxlite: Order (2010-CE-2701) | Department of Energy

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

    Maxlite: Order (2010-CE-2701) Maxlite: Order (2010-CE-2701) In the Matter of Maxlite, SK America, Inc. (general service flourescent lamps), DOE Case Number 2010-CE-2701, Adopting Order and Compromise Agreement. Order adopting accompanying Compromise Agreement. DOE found that Maxlite failed to submit compliance certifications for its products under 10 C.F.R. Section 430.62, and here assesses a civil penalty of $5,000 (if paid within 30 days) or of $10,000 (if paid between 31-60 days). Maxlite

  8. Case Numbers: TBH-0063, TBZ-0063

    Energy.gov [DOE] (indexed site)

    Department of Energy's (DOE) Contractor Employee Protection Program regulations found at ... A. Regulatory Background The DOE established its Contractor Employee Protection Program to ...

  9. STANDING ORDER 1. Standing Order Number: EP-DIV-S0-20222, R.O

    Office of Environmental Management (EM)

    Department of Energy Information Resources » Webcasts » SSL Luminaire Performance in the Lab: Just How Well Do They Perform? SSL Luminaire Performance in the Lab: Just How Well Do They Perform? On December 13, 2007, Mia Paget, Pacific Northwest National Laboratory, gave an overview of the Commercially Available LED Product Evaluation and Reporting (CALiPER) Program, test procedures for SSL products, and recent test results. CALiPER provides objective product performance information,

  10. STANDING ORDER 1. Standing Order Number: EP-DIV-S0-20222, R.O

    Office of Environmental Management (EM)

    , ;, . USQ Qualified E1 luator (QEV) JLl. p M r .L .. r- c. 'i:> i" L v....ur- 1 rA .?4-- L1 I 2.t::.c'-- 0- 0 Print name Signa Date ERID-257356 Verified...

  11. Number | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  12. NSR Key Number Retrieval

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

    NSR Key Number Retrieval Pease enter key in the box Submit

  13. Big Numbers | Jefferson Lab

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

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

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

    Energy Information Administration (EIA) (indexed site)

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

  15. Engineered Solutions: Order (2010-CE-2112)

    Energy.gov [DOE]

    DOE issued an Order after entering into a Compromise Agreement with Engineered Solutions, Inc. to resolve a case involving the failure to certify dehumidifier basic model SD109.

  16. Case No. VBU-0077

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

    No. VBU-0077 October 25, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Decision of the Director Name of Petitioner: Ronald E. Timm Date of Filing: September 25, 2001 Case Number: VBU-0077 Ronald E. Timm (the Complainant), the President of RETA Security, a Department of Energy (DOE) subcontractor, appeals the dismissal of his whistleblower complaint filed under 10 C.F.R. Part 708, the DOE Contractor Employee Protection Program. On September 10, 2001, the Employee Concerns Program Manager at

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Gasoline and Diesel Fuel Update

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

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

    Annual Energy Outlook

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

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

    Gasoline and Diesel Fuel Update

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

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

    Energy Information Administration (EIA) (indexed site)

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

  3. Quantum random number generator

    DOEpatents

    Pooser, Raphael C.

    2016-05-10

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

  4. Report number codes

    SciTech Connect

    Nelson, R.N.

    1985-05-01

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

  5. High order Chin actions in path integral Monte Carlo

    SciTech Connect

    Sakkos, K.; Casulleras, J.; Boronat, J.

    2009-05-28

    High order actions proposed by Chin have been used for the first time in path integral Monte Carlo simulations. Contrary to the Takahashi-Imada action, which is accurate to the fourth order only for the trace, the Chin action is fully fourth order, with the additional advantage that the leading fourth-order error coefficients are finely tunable. By optimizing two free parameters entering in the new action, we show that the time step error dependence achieved is best fitted with a sixth order law. The computational effort per bead is increased but the total number of beads is greatly reduced and the efficiency improvement with respect to the primitive approximation is approximately a factor of 10. The Chin action is tested in a one-dimensional harmonic oscillator, a H{sub 2} drop, and bulk liquid {sup 4}He. In all cases a sixth-order law is obtained with values of the number of beads that compare well with the pair action approximation in the stringent test of superfluid {sup 4}He.

  6. Quantum random number generation

    DOE PAGES [OSTI]

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

    2016-06-28

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

  7. Polymers with increased order

    DOEpatents

    Sawan, Samuel P.; Talhi, Abdelhafid; Taylor, Craig M.

    1998-08-25

    The invention features polymers with increased order, and methods of making them featuring a dense gas.

  8. Implementing Executive Order 13423

    Energy.gov [DOE]

    Guide describes the instructions on the requirements and how fleets should implement the Executive Order 13423.

  9. ALARA notes, Number 8

    SciTech Connect

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

    1993-10-01

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

  10. Compliance Order on Consent

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

    Compliance Order on Consent Compliance Order on Consent The Compliance Order on Consent provides the requirements for environmental cleanup of hazardous constituents for LANL. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email What is the Compliance Order on Consent? The Compliance Order on Consent between the State of New Mexico Environment Department and the United States Department of Energy and Los Alamos National

  11. Consent Order public meeting

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

    Consent Order public meeting Consent Order public meeting WHEN: Apr 28, 2016 5:00 PM - 7:00 PM WHERE: Los Alamos County Council Chambers CATEGORY: Community TYPE: Meeting INTERNAL: Calendar Login Event Description On March 1, 2005, NMED, the Department of Energy (DOE) and the Regents of the University of California entered into the 2005 Consent Order that prescribed fence-to-fence cleanup requirements for the Laboratory. The public comment period on the Consent Order closes May 16, 2016

  12. Nusselt numbers in rectangular ducts with laminar viscous dissipation

    SciTech Connect

    Morini, G.L.; Spiga, M.

    1999-11-01

    The need for high thermal performance has stimulated the use of rectangular ducts in a wide variety of compact heat exchangers, mainly in tube-fin and plate-fin exchangers, in order to obtain an enhancement in heat transfer, with the same cross-sectional area of the duct. In this paper, the steady temperature distribution and the Nusselt numbers are analytically determined for a Newtonian incompressible fluid in a rectangular duct, in fully developed laminar flow with viscous dissipation, for any combination of heated and adiabatic sides of the duct, in H1 boundary condition, and neglecting the axial heat conduction in the fluid. The Navier-Stokes and the energy balance equations are solved using the technique of the finite integral transforms. For a duct with four uniformly heated sides (4 version), the temperature distribution and the Nusselt numbers are obtained as a function of the aspect ratio and of the Brinkman number and presented in graphs and tables Finally it is proved that the temperature field in a fully developed T boundary condition can be obtained as a particular case of the H1 problem and that the corresponding Nusselt numbers do not depend on the Brinkman number.

  13. Modular redundant number systems

    SciTech Connect

    1998-05-31

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

  14. Self-correcting random number generator

    DOEpatents

    Humble, Travis S.; Pooser, Raphael C.

    2016-09-06

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

  15. Aero-Tech: Order (2010-CE-1012)

    Energy.gov [DOE]

    DOE issued an Order and closed this case against Aero-Tech Light Bulb Co., without civil penalty, after DOE found that Aero-Tech manufactured and/or privately labeled incandescent reflector lamps, but did not violate DOE regulations.

  16. NNSA orders security enhancements

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

    NNSA orders security enhancements NNSA orders security enhancements Because of this government order, until further notice all vehicles entering government property will be required to stop at the East and West Jemez Road "Vehicle Access Portals" (VAPs) for a vehicle check. December 21, 2012 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,

  17. HSI Tape Ordering

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

    Tape Ordering HSI Tape Ordering General Procedure If you are retrieving multiple files from HPSS, it is best to order your retrieval requests in a way that makes sense for the HPSS system. In HPSS, files initially go onto a disk cache and migrate to tape as time passes. This means that files that were put into HPSS at the same time could end up spread across multiple tapes. Since each tape must by loaded into the reader, it will be fastest if you order your requests so that you are pulling all

  18. Directives System Order

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

    1995-10-16

    The order prescribes the process for development of Policy Statements, Orders, Notices, Manuals and Guides, which are intended to guide, inform, and instruct employees in the performance of their jobs, and enable them to work effectively within the Department and with agencies, contractors, and the public.

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    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 ...

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

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Annual Energy Outlook

    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 ...

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

    Gasoline and Diesel Fuel Update

    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 ...

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

    Gasoline and Diesel Fuel Update

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

    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 ...

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Gasoline and Diesel Fuel Update

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

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

    Gasoline and Diesel Fuel Update

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

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

    Annual Energy Outlook

    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 ...

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

    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 ...

  12. Supplement Number 1 to Operating Plan of Mirnat Potomac River...

    Energy Saver

    1 to Operating Plan of Mirnat Potomac River, LLC in Compliance with Order No. 202-05-03 Supplement Number 1 to Operating Plan of Mirnat Potomac River, LLC in Compliance with Order ...

  13. Compendium of Experimental Cetane Number Data

    SciTech Connect

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

    2004-09-01

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

  14. Consent Order Update

    Energy.gov [DOE]

    At the September 24, 2014 Board meeting Pete Maggiore DOE, Provided Information on the Consent Order Work that Needs to be Completed. Information on the Fiscal Year Work Plan was also Provided.

  15. URS Consent Order

    Office of Environmental Management (EM)

    ... requires the written consent of both Parties. 10. URS waives any and all rights to appeal or otherwise seek judicial or administrative review of the terms of this Consent Order. ...

  16. Determining Reduced Order Models for Optimal Stochastic Reduced Order Models

    SciTech Connect

    Bonney, Matthew S.; Brake, Matthew R.W.

    2015-08-01

    The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a Taylor series using finite difference, a proper orthogonal decomposition of the the output, a Craig-Bampton representation of the model, a method that uses Hyper-Dual numbers to determine the sensitivities, and a Meta-Model method that uses the Hyper-Dual results and constructs a polynomial curve to better represent the output data. The methods are compared against a parameter sweep and a distribution propagation where the first four statistical moments are used as a comparison. Each method produces very accurate results with the Craig-Bampton reduction having the least accurate results. The models are also compared based on time requirements for the evaluation of each model where the Meta- Model requires the least amount of time for computation by a significant amount. Each of the five models provided accurate results in a reasonable time frame. The determination of which model to use is dependent on the availability of the high-fidelity model and how many evaluations can be performed. Analysis of the output distribution is examined by using a large Monte-Carlo simulation along with a reduced simulation using Latin Hypercube and the stochastic reduced order model sampling technique. Both techniques produced accurate results. The stochastic reduced order modeling technique produced less error when compared to an exhaustive sampling for the majority of methods.

  17. Verification Challenges at Low Numbers

    SciTech Connect

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

    2013-06-01

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

  18. Order 13287, Preserve America

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

    4 In response to requirements of Executive Order 13287, Preserve America Office of History and Heritage Resources Office of the Executive Secretariat U.S. Department of Energy September 2014 An Assessment of Historic Properties and Preservation Activities at the U.S. Department of Energy Table of Contents Introduction ............................................................................................................................................ 3 Part I. Background and Overview

  19. Number

    Office of Legacy Management (LM)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  2. NMED Consent Order

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

    begins environmental sampling in townsite September 25, 2008 Vicinity of Upper LA Canyon Investigated as Part of NMED Consent Order LOS ALAMOS, New Mexico, September 25, 2008-Environmental sampling, conducted on behalf of Los Alamos National Laboratory in the town of Los Alamos near upper Los Alamos Canyon, has begun. Known as the Upper Los Alamos Canyon Project, this effort is an environmental assessment of areas that have been or could have been affected by Laboratory operations from the days

  3. 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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  10. ARM - Measurement - Particle number concentration

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

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

  11. Total Number of Operable Refineries

    Energy Information Administration (EIA) (indexed site)

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

  12. Compendium of Experimental Cetane Numbers

    SciTech Connect

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

    2014-08-01

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  1. Two variants of minimum discarded fill ordering

    SciTech Connect

    D'Azevedo, E.F. ); Forsyth, P.A.; Tang, Wei-Pai . Dept. of Computer Science)

    1991-01-01

    It is well known that the ordering of the unknowns can have a significant effect on the convergence of Preconditioned Conjugate Gradient (PCG) methods. There has been considerable experimental work on the effects of ordering for regular finite difference problems. In many cases, good results have been obtained with preconditioners based on diagonal, spiral or natural row orderings. However, for finite element problems having unstructured grids or grids generated by a local refinement approach, it is difficult to define many of the orderings for more regular problems. A recently proposed Minimum Discarded Fill (MDF) ordering technique is effective in finding high quality Incomplete LU (ILU) preconditioners, especially for problems arising from unstructured finite element grids. Testing indicates this algorithm can identify a rather complicated physical structure in an anisotropic problem and orders the unknowns in the preferred'' direction. The MDF technique may be viewed as the numerical analogue of the minimum deficiency algorithm in sparse matrix technology. At any stage of the partial elimination, the MDF technique chooses the next pivot node so as to minimize the amount of discarded fill. In this work, two efficient variants of the MDF technique are explored to produce cost-effective high-order ILU preconditioners. The Threshold MDF orderings combine MDF ideas with drop tolerance techniques to identify the sparsity pattern in the ILU preconditioners. These techniques identify an ordering that encourages fast decay of the entries in the ILU factorization. The Minimum Update Matrix (MUM) ordering technique is a simplification of the MDF ordering and is closely related to the minimum degree algorithm. The MUM ordering is especially for large problems arising from Navier-Stokes problems. Some interesting pictures of the orderings are presented using a visualization tool. 22 refs., 4 figs., 7 tabs.

  2. In Case of Emergency

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

    In Case of Emergency In Case of Emergency Print FirePolice Emergency: ext. 7911 Cell phone or off-site: 510-486-7911 When dialing from off-site, the following numbers need to be...

  3. Using Hyper-Dual Numbers To Construct Parameterized Reduced-Order...

    Office of Scientific and Technical Information (OSTI)

    Resource Type: Conference Resource Relation: Conference: Proposed for presentation at the ASME 2014 International Mechanical Engineering Congress & Exposition held November 14-20, ...

  4. Unsymmetric ordering using a constrained Markowitz scheme

    SciTech Connect

    Amestoy, Patrick R.; Xiaoye S.; Pralet, Stephane

    2005-01-18

    We present a family of ordering algorithms that can be used as a preprocessing step prior to performing sparse LU factorization. The ordering algorithms simultaneously achieve the objectives of selecting numerically good pivots and preserving the sparsity. We describe the algorithmic properties and challenges in their implementation. By mixing the two objectives we show that we can reduce the amount of fill-in in the factors and reduce the number of numerical problems during factorization. On a set of large unsymmetric real problems, we obtained the median reductions of 12% in the factorization time, of 13% in the size of the LU factors, of 20% in the number of operations performed during the factorization phase, and of 11% in the memory needed by the multifrontal solver MA41-UNS. A byproduct of this ordering strategy is an incomplete LU-factored matrix that can be used as a preconditioner in an iterative solver.

  5. HODIF:High-Order Discretizations, Interpolations and

    Energy Science and Technology Software Center

    2006-06-20

    This software, a library, contains FORTRAN77 subroutines to calculate first and second derivatives up to 8th order, interpolations (1D and 2D) up to 10th order and filters up to 14th order. Only even orders are addressed and finite-difference stencils are implemented on a vertex-centered mesh. The primary aim of this library is to be used in block-structured adaptive mesh simulations where high order is desired. The interpolants in this library are essentially designed to domore » prolongations and restrictions between levels of rfinement - however, they assume that the refinement ratio is 2. The filters are provided to remove high wavenumber content from solutions in case Runge phenomenon occurs - a common occurrence in case of marginal resolution of the solution. Details of the derivation and use are to be found in "Using high-order methods on adaptively refined block-structured meshes - discretizations, interpolations and filters", by J. Ray, C.A. Kennedy, S. Lefantzi and H.N. Najm, Sandia Technical Report, SAND2005-7981. The software comes with a User's Guide and examples how to use it.« less

  6. Paperclips Etc. Special Order Form

    Energy Saver

    ...... Date: ... ALL SPECIAL ORDERS ARE SUBJECT TO FULL PAYMENT OR A RESTOCKING FEE WHEN ITEMS ORDERED ARE RETURNED TO THE SUPPLIER DUE TO THE ...

  7. Contract Number DE-AC27-10RV15051

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

    ... Order NumberChanges Title DOE O 130.1 CRD Budget Formulation DOE M 140.1-1B, CRD Interface with the Defense Nuclear Facilities Safety Board DOE O 142.1, CRD Classified Visits ...

  8. Departmental Business Instrument Numbering System

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

    2000-12-05

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Gasoline and Diesel Fuel Update

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

  8. SU-E-P-08: Alarming Range of Seed Activities Ordered for I-125 Plaque Brachytherapy

    SciTech Connect

    Merz, B

    2014-06-01

    Purpose: To investigate the variation in I-125 seed activities ordered by various clinics for their plaque brachytherapy cases under a standardized set of assumptions. Methods: A majority of the plaque programs in North America were contacted and a survey was designed to give a few standardized cases to allow inter-comparison of seed activities ordered. Tumor dose, treatment duration, number of seeds, plaque, and tumor apex were held constant in order to reveal differences in prescription point, seed type, and seed activity. Results: While the survey is presently underway, preliminary results show alarmingly wide variations between centers. Differences up to 45% have been found with 15% differences being common. Conclusion: Though knowledge of the TG-43 dose calculation formalism is common, a number of factors in the field of plaque brachytherapy lead to alarming differences in activity of I-125 seeds being ordered for a given tumor. Knowledge of the present reality of widely varying treatment activities, and thus doses to tumor and normal structures, should serve as motivation for centers involved in this modality to review their programs with others in the community and share their experiences.

  9. Sensitivity in risk analyses with uncertain numbers.

    SciTech Connect

    Tucker, W. Troy; Ferson, Scott

    2006-06-01

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

  10. Evaluation of Geometrically Nonlinear Reduced Order Models with Nonlinear Normal Modes

    SciTech Connect

    Kuether, Robert J.; Deaner, Brandon J.; Hollkamp, Joseph J.; Allen, Matthew S.

    2015-09-15

    Several reduced-order modeling strategies have been developed to create low-order models of geometrically nonlinear structures from detailed finite element models, allowing one to compute the dynamic response of the structure at a dramatically reduced cost. But, the parameters of these reduced-order models are estimated by applying a series of static loads to the finite element model, and the quality of the reduced-order model can be highly sensitive to the amplitudes of the static load cases used and to the type/number of modes used in the basis. Our paper proposes to combine reduced-order modeling and numerical continuation to estimate the nonlinear normal modes of geometrically nonlinear finite element models. Not only does this make it possible to compute the nonlinear normal modes far more quickly than existing approaches, but the nonlinear normal modes are also shown to be an excellent metric by which the quality of the reduced-order model can be assessed. Hence, the second contribution of this work is to demonstrate how nonlinear normal modes can be used as a metric by which nonlinear reduced-order models can be compared. Moreover, various reduced-order models with hardening nonlinearities are compared for two different structures to demonstrate these concepts: a clampedclamped beam model, and a more complicated finite element model of an exhaust panel cover.

  11. Evaluation of Geometrically Nonlinear Reduced Order Models with Nonlinear Normal Modes

    SciTech Connect

    Kuether, Robert J.; Deaner, Brandon J.; Hollkamp, Joseph J.; Allen, Matthew S.

    2015-09-15

    Several reduced-order modeling strategies have been developed to create low-order models of geometrically nonlinear structures from detailed finite element models, allowing one to compute the dynamic response of the structure at a dramatically reduced cost. But, the parameters of these reduced-order models are estimated by applying a series of static loads to the finite element model, and the quality of the reduced-order model can be highly sensitive to the amplitudes of the static load cases used and to the type/number of modes used in the basis. Our paper proposes to combine reduced-order modeling and numerical continuation to estimate the nonlinear normal modes of geometrically nonlinear finite element models. Not only does this make it possible to compute the nonlinear normal modes far more quickly than existing approaches, but the nonlinear normal modes are also shown to be an excellent metric by which the quality of the reduced-order model can be assessed. Hence, the second contribution of this work is to demonstrate how nonlinear normal modes can be used as a metric by which nonlinear reduced-order models can be compared. Moreover, various reduced-order models with hardening nonlinearities are compared for two different structures to demonstrate these concepts: a clamped–clamped beam model, and a more complicated finite element model of an exhaust panel cover.

  12. Evaluation of Geometrically Nonlinear Reduced Order Models with Nonlinear Normal Modes

    DOE PAGES [OSTI]

    Kuether, Robert J.; Deaner, Brandon J.; Hollkamp, Joseph J.; Allen, Matthew S.

    2015-09-15

    Several reduced-order modeling strategies have been developed to create low-order models of geometrically nonlinear structures from detailed finite element models, allowing one to compute the dynamic response of the structure at a dramatically reduced cost. But, the parameters of these reduced-order models are estimated by applying a series of static loads to the finite element model, and the quality of the reduced-order model can be highly sensitive to the amplitudes of the static load cases used and to the type/number of modes used in the basis. Our paper proposes to combine reduced-order modeling and numerical continuation to estimate the nonlinearmore » normal modes of geometrically nonlinear finite element models. Not only does this make it possible to compute the nonlinear normal modes far more quickly than existing approaches, but the nonlinear normal modes are also shown to be an excellent metric by which the quality of the reduced-order model can be assessed. Hence, the second contribution of this work is to demonstrate how nonlinear normal modes can be used as a metric by which nonlinear reduced-order models can be compared. Moreover, various reduced-order models with hardening nonlinearities are compared for two different structures to demonstrate these concepts: a clamped–clamped beam model, and a more complicated finite element model of an exhaust panel cover.« less

  13. Executive Order 13423 Implementing Instructions

    Energy.gov [DOE]

    INSTRUCTIONS FOR IMPLEMENTING EXECUTIVE ORDER 13423“Strengthening Federal Environmental, Energy, and Transportation Management”

  14. The 17 GHz active region number

    SciTech Connect

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

    2014-08-01

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

  15. Competition Advocates and Task-Order and Delivery Order Ombudsman |

    National Nuclear Security Administration (NNSA)

    National Nuclear Security Administration | (NNSA) Acquisition Management Competition Advocates and Task-Order and Delivery Order Ombudsman There are two senior agency positions dedicated to ensuring full and open competition as a part of the federal contracting process: Competition Advocates and Task-Order and Delivery Order Ombudsman. Competition Advocates are responsible for: Promoting full and open competition; Promoting the acquisition of commercial items; Removing barriers to full and

  16. Paperclips Etc. Special Order Form

    Energy.gov [DOE] (indexed site)

    PSS-02.2 (March 7, 2011) Replaces PSS-02.1 PAPERCLIPS Etc. SPECIAL Orders Form This form is used to order supplies that are not readily available in the DOE HQ self-service supply...

  17. DOE - Fossil Energy: Orders-2013

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

    Order Granting Blanket Authority to Export Natural Gas to Mexico 3366 13-146-NG 121213 Iberdrola Energy Services, LLC Order Granting Blanket Authority to ImportExport Natural ...

  18. Price Quotes and Isotope Ordering

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

    Ordering Price Quotes and Isotope Ordering Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Isotope...

  19. ORDER

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

    rack or container with the firing chamber empty. During normal operations, long guns (e.g., rifles, shotguns, submachine guns) must not be carried with a round in the...

  20. High order finite difference methods with subcell resolution for advection equations with stiff source terms

    SciTech Connect

    Wang, Wei; Shu, Chi-Wang; Yee, H.C.; Sjgreen, Bjrn

    2012-01-01

    A new high order finite-difference method utilizing the idea of Harten ENO subcell resolution method is proposed for chemical reactive flows and combustion. In reaction problems, when the reaction time scale is very small, e.g., orders of magnitude smaller than the fluid dynamics time scales, the governing equations will become very stiff. Wrong propagation speed of discontinuity may occur due to the underresolved numerical solution in both space and time. The present proposed method is a modified fractional step method which solves the convection step and reaction step separately. In the convection step, any high order shock-capturing method can be used. In the reaction step, an ODE solver is applied but with the computed flow variables in the shock region modified by the Harten subcell resolution idea. For numerical experiments, a fifth-order finite-difference WENO scheme and its anti-diffusion WENO variant are considered. A wide range of 1D and 2D scalar and Euler system test cases are investigated. Studies indicate that for the considered test cases, the new method maintains high order accuracy in space for smooth flows, and for stiff source terms with discontinuities, it can capture the correct propagation speed of discontinuities in very coarse meshes with reasonable CFL numbers.

  1. Droplet Number Concentration Value Added Product

    Energy Science and Technology Software Center

    2015-08-06

    Cloud droplet number concentration is an important factor in understanding aerosol-cloud interactions. As aerosol concentration increases, it is expected that droplet number concentration (Nd) will increase and droplet size will decrease, for a given liquid water path. This will greatly affect cloud albedo as smaller droplets reflect more shortwave radiation; however, the magnitude and variability of these processes under different environmental conditions is still uncertain.McComiskey et al. (2009) have implemented a method, based onBoers andmore » Mitchell (1994), for calculating Nd from ground-based remote sensing measurements of optical depth and liquid water path. They show that the magnitude of the aerosol-cloud interactions (ACI) varies with a range of factors, including the relative value of the cloud liquid water path (LWP), the aerosol size distribution, and the cloud updraft velocity. Estimates of Nd under a range of cloud types and conditions and at a variety of sites are needed to further quantify the impacts of aerosol cloud interactions. In order to provide data sets for studying aerosol-cloud interactions, the McComiskey et al. (2009) method was implemented as the Droplet Number Concentration (NDROP) value-added product (VAP).« less

  2. De'Longhi USA: Order (2010-CE-2114)

    Energy.gov [DOE]

    DOE issued an Order after entering into a Compromise Agreement with De'Longhi USA, Inc. to resolve a case involving the failure to certify that a variety of dehumidifiers comply with the applicable energy conservation standards.

  3. Public Order and Safety Buildings

    Energy Information Administration (EIA) (indexed site)

    | Activity Subcategories | Energy Use Public Order and Safety Buildings... Volunteer fire stations tend not to be government owned, which probably explains why 33 percent of...

  4. DOE Order on Quality Assurance

    Energy.gov [DOE]

    The purpose of this order is to ensure that Department of Energy (DOE), including National Nuclear Security Administration (NNSA), products and services meet or exceed customers’ requirements and...

  5. High-Order/Low-Order methods for ocean modeling

    DOE PAGES [OSTI]

    Newman, Christopher; Womeldorff, Geoff; Chacón, Luis; Knoll, Dana A.

    2015-06-01

    We examine a High Order/Low Order (HOLO) approach for a z-level ocean model and show that the traditional semi-implicit and split-explicit methods, as well as a recent preconditioning strategy, can easily be cast in the framework of HOLO methods. The HOLO formulation admits an implicit-explicit method that is algorithmically scalable and second-order accurate, allowing timesteps much larger than the barotropic time scale. We demonstrate how HOLO approaches, in particular the implicit-explicit method, can provide a solid route for ocean simulation to heterogeneous computing and exascale environments.

  6. ESPC ENABLE Draft Task Order

    Energy.gov [DOE]

    Document provides a draft for an agency to use when forming an ESPC ENABLE contract and making a task order award. This draft task order provides the framework for a contract that agencies and energy service companies can tailor to the particular needs of each site or project.

  7. LLW Notes, Volume 12, Number 8

    SciTech Connect

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

    1997-12-31

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

  8. ORDER FOR SUPPLIES OR SERVICES

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

    SH P VIA 8. TYPE OF ORDER b. COMPANY NAME c. STREET ADDRESS d. CITY e. STATE f. Z P CODE 9. ACCOUNTING AND APPROPRIATION DATA a. PURCHASE b. DELIVERY REFERENCE YOUR: Please furnish the following on the terms and conditions specified on both sides of this order and on the attached sheet, if any including delivery as indicated. Except for billing instructions on the reverse, this delivery order is subject to instructions contained on this side only of this form and is issued subject to the terms

  9. American Indian Policy and Relevant DOE and Executive Orders | Department

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

    of Energy Tribal Programs » American Indian Policy and Relevant DOE and Executive Orders American Indian Policy and Relevant DOE and Executive Orders Over the course of American history, the Federal government's relationship with Indian Tribes has been defined and modified by treaties, executive orders, court decisions, specific legislation passed by Congress, and regulations. Important rights were guaranteed to Tribes by treaty, with many of these rights still enforceable today. Case law,

  10. Environmental embrittlement in ordered intermetallic alloys

    SciTech Connect

    Liu, C.T.; Stoloff, N.S.

    1992-12-31

    Ordered intermetallics based on aluminides and silicides possess many promising properties for elevated-temperature applications; however, poor fracture resistance and limited fabricability restrict their use as engineering material. Recent studies have shown that environmental embrittlement is a major cause of low ductility and brittle fracture in many ordered intermetallic alloys. There are two types of environmental embrittlement observed in intermetallic alloys. One is hydrogen-induced embrittlement occurring at ambient temperatures in air. The other is oxygen-induced embrittlement in oxidizing atmospheres at elevated temperatures. In most cases, the embrittlements are due to a dynamic effect involving generation and penetration of embrittling agents (i.e., hydrogen or oxygen ) during testing. Diffusion of embrittling agents plays a dominant role in fracture of these intermetallic alloys. This chapter summarizes recent progress in understanding and reducing environmental embrittlement in these alloys.

  11. Absocold: Order (2010-CE-1212)

    Energy.gov [DOE]

    DOE and Absocold Corporation entered into a Compromise Agreement to resolve a case involving the failure to submit a certification report and compliance statement for residential refrigerators and refrigerator-freezers.

  12. CATERING ORDER;SA 4500-CCC

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

    4500-CCC (4-2015) Supersedes (11-2014) issue CATERING ORDER Your Name: ____ I certify that I have Completed and had my Manager complete: FIN100.1.TNT.6 Obtain Business Meeting Meal and Refreshment Approval procedure. Phone: Date of Delivery: Charging Organization # / Purpose: Project: Task: Delivery Location (Building/Room): Number of attendees to be served: A.M. Service Time: P.M. Service Time: Lunch Service Time: * A replacement fee will be charged if equipment is missing or not returned in 24

  13. Dialight: Order (2013-CE-4902)

    Energy.gov [DOE]

    DOE ordered Dialight Corporation to pay a $8,000 civil penalty after finding Dialight had failed to certify that certain models of traffic signal modules and pedestrian modules comply with the applicable energy conservation standards.

  14. Legacy: Order (2015-CE-14025)

    Energy.gov [DOE]

    DOE ordered The Legacy Companies to pay a $8,000 civil penalty after finding Legacy had failed to certify that refrigerator Maxx-Ice brand basic model MCR3U complies with the applicable energy conservation standards.

  15. Leotek: Order (2013-CE-4903)

    Energy.gov [DOE]

    DOE ordered Leotek Electronics USA Corp. to pay a $8,000 civil penalty after finding Leotek had failed to certify that certain models of traffic signal modules and pedestrian modules comply with the applicable energy conservation standards.

  16. Amerikooler: Order (2013-CE-5307)

    Energy.gov [DOE]

    DOE ordered Amerikooler, Inc. to pay a $8,000 civil penalty after finding Amerikooler had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

  17. TMP: Order (2013-CE-5334)

    Energy.gov [DOE]

    DOE ordered TMP Manufacturing Company, Inc. to pay a $8,000 civil penalty after finding TMP had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

  18. Sylvane: Order (2013-CE-36005)

    Energy.gov [DOE]

    DOE ordered Sylvane, Inc. to pay a $4,000 civil penalty after finding Sylvane had failed to certify that certain models of dehumidifiers comply with the applicable energy conservation standards.

  19. Trastar: Order (2013-CE-49003)

    Energy.gov [DOE]

    DOE ordered Trastar Inc. to pay a $8,000 civil penalty after finding Trastar had failed to certify that certain basic models of traffic signal modules and pedestrian modules comply with the applicable energy conservation standards.

  20. Emerson: Order (2014-CE-54001)

    Energy.gov [DOE]

    DOE ordered Emerson Electric Co. to pay a $8,000 civil penalty after finding Emerson had failed to certify that certain models of metal halide lamp fixtures comply with the applicable energy conservation standards.

  1. Sunpentown: Order (2012-CE-1505)

    Energy.gov [DOE]

    DOE ordered Sunpentown International Inc. to pay a $12,160 civil penalty after finding Sunpentown had failed to certify that certain models of room air conditioners comply with the applicable energy conservation standards.

  2. Sears: Order (2012-CE-3606)

    Energy.gov [DOE]

    DOE ordered Sears, Roebuck & Co. to pay an $8,000 civil penalty after finding Sears had failed to certify that Sears dehumidifiers comply with the applicable energy conservation standard.

  3. Litex: Order (2014-CE-32011)

    Energy.gov [DOE]

    DOE ordered Litex Industries, Limited to pay a $8,000 civil penalty after finding Litex had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  4. Hydac: Order (2012-SE-4107)

    Energy.gov [DOE]

    DOE ordered Hydac Technology Corporation to pay a $29,000 civil penalty after finding Hydac had manufactured and distributed in commerce in the U.S. noncompliant electric motors.

  5. Crane: Order (2016-CE-52001)

    Energy.gov [DOE]

    DOE ordered Crane Merchandising Systems, Inc. to pay a $16,000 civil penalty after finding Crane had failed to certify that certain models of refrigerated bottled or canned beverage vending machines comply with the applicable energy conservation standards.

  6. Avanti: Order (2013-CE-2105)

    Energy.gov [DOE]

    DOE ordered Avanti Products, LLC to pay a $8,000 civil penalty after finding Avanti had failed to certify that certain models of residential clothes dryers comply with the applicable energy conservation standards.

  7. Acuity: Order (2013-CE-4802)

    Energy.gov [DOE]

    DOE ordered Acuity Brands Lighting to pay a $8,000 civil penalty after finding Acuity had failed to certify that certain models of illuminated exit signs comply with the applicable energy conservation standards.

  8. Leer: Order (2013-CE-5325)

    Energy.gov [DOE]

    DOE ordered Leer, Inc. to pay a $8,000 civil penalty after finding Leer had failed to certify that certain models of walk-in cooler and freezer (WICF) components comply with the applicable energy conservation standards.

  9. Smeg: Order (2014-CE-23003)

    Energy.gov [DOE]

    DOE ordered Smeg USA, Inc. to pay a $16,000 civil penalty after finding Smeg had failed to certify that certain models of refrigerators/refrigerator-freezers/freezers, dishwashers, and cooking products comply with the applicable energy conservation standards.

  10. Electrolux: Order (2014-CE-23015)

    Energy.gov [DOE]

    DOE ordered Electrolux North America, Inc. to pay a $16,000 civil penalty after finding Electrolux had failed to certify that certain models of cooking products comply with the applicable energy conservation standards.

  11. Keystone: Order (2013-CE-2601)

    Energy.gov [DOE]

    DOE ordered Keystone Technologies, LLC to pay a $8,000 civil penalty after finding Keystone had failed to certify that certain models of fluorescent lamp ballasts comply with the applicable energy conservation standards.

  12. Aircooler: Order (2013-CE-5338)

    Energy.gov [DOE]

    DOE ordered Aircooler Corporation to pay a $8,000 civil penalty after finding Aircooler had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

  13. Electrolux: Order (2012-CE-1901)

    Energy.gov [DOE]

    DOE ordered Electrolux North America to pay a $6,500 civil penalty after finding Electrolux had failed to certify that certain dishwashers comply with the applicable energy conservation standard.

  14. TCP: Order (2011-CE-3501)

    Energy.gov [DOE]

    DOE ordered Technical Consumer Products, Inc. to pay a $3,000 civil penalty after finding TCP had failed to certify that a certain model of medium base compact fluorescent lamp (CFL) complies with the applicable energy conservation standards.

  15. Dacor: Order (2014-CE-23010)

    Energy.gov [DOE]

    DOE ordered Dacor to pay a $8,000 civil penalty after finding Dacor had failed to certify that certain models of cooking products comply with the applicable energy conservation standards.

  16. Whirlpool: Order (2014-CE-21010)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered Whirlpool Corporation to pay a $8,000 civil penalty after finding Whirlpool had failed to certify that certain models of residential clothes dryers comply with the applicable energy conservation standards.

  17. DHI: Order (2014-CE-32004)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered DHI Corp. to pay a $8,000 civil penalty after finding DHI had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  18. Vaxcel: Order (2014-CE-32006)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered Vaxcel International Co., Ltd. to pay a $8,000 civil penalty after finding Vaxcel had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  19. ETL: Order (2015-CW-29003)

    Energy.gov [DOE]

    DOE ordered ETL, LLC to pay a $8,000 civil penalty after finding ETL had failed to certify that certain models of showerheads comply with the applicable water conservation standards.

  20. Daewoo: Order (2010-CE-0410)

    Energy.gov [DOE]

    DOE ordered Daewoo International, Inc. to pay a $5,000 civil penalty after finding Daewoo had failed to certify that certain models of residential clothes dryers comply with the applicable energy conservation standards.

  1. Simkar: Order (2012-SE-5408)

    Energy.gov [DOE]

    DOE ordered Simkar Corporation to pay a $28,193 civil penalty after finding Simkar had manufactured and distributed in commerce in the U.S. 326 units of a variety of noncompliant metal halide lamp fixtures basic models.

  2. LG: Order (2015-CE-14022)

    Energy.gov [DOE]

    DOE ordered LG Electronics USA, Inc. to pay a $8,000 civil penalty after finding LG had failed to certify that various refrigerator-freezer basic models comply with the applicable energy conservation standards.

  3. Maxlite: Order (2015-CE-27018)

    Energy.gov [DOE]

    DOE ordered Maxlite, Inc. to pay a $8,000 civil penalty after finding Maxlite had failed to certify that certain models of general service fluorescent lamps comply with the applicable energy conservation standards.

  4. Electrolux: Order (2015-CE-14020)

    Energy.gov [DOE]

    DOE ordered Electrolux North America, Inc. to pay a $20,000 civil penalty after finding Electrolux had failed to certify that certain models of refrigerator-freezers comply with the applicable energy conservation standards.

  5. Eurodib: Order (2014-CE-45001)

    Energy.gov [DOE]

    DOE ordered Eurodib Inc. to pay a $8,000 civil penalty after finding Eurodib had failed to certify that certain models of automatic commercial ice makers comply with the applicable energy conservation standards.

  6. RPI: Order (2015-CE-42065)

    Energy.gov [DOE]

    DOE ordered RPI Industries, Inc. to pay a $8,000 civil penalty after finding RPI had failed to certify that certain models of commercial refrigeration equipment comply with the applicable energy conservation standards.

  7. Barron: Order (2013-CE-48004)

    Energy.gov [DOE]

    DOE ordered Barron Lighting Group, Inc. to pay a $8,000 civil penalty after finding Barron had failed to certify that certain models of illuminated exit signs comply with the applicable energy conservation standards.

  8. Quorum: Order (2014-CE-32013)

    Energy.gov [DOE]

    DOE ordered Davoil, Inc. d/b/a Quorum International, Inc. to pay a $8,000 civil penalty after finding Quorum had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  9. Satco: Order (2013-CE-2702)

    Energy.gov [DOE]

    DOE ordered Satco Products, Inc. to pay a $8,000 civil penalty after finding Satco had failed to certify that certain models of general service fluorescent lamps comply with the applicable energy conservation standards.

  10. Perlick: Order (2011-SE-1401)

    Energy.gov [DOE]

    DOE ordered Perlick Corporation to pay a $400 civil penalty after finding Perlick had manufactured and distributed in commerce in the U.S. at least two noncompliant model HP48RO, electric refrigerators.

  11. Winix: Order (2012-CE-3607)

    Energy.gov [DOE]

    DOE ordered Cloud 9 Marketing, Inc. d/b/a Winix, Inc., to pay a $8,000 civil penalty after finding Winix had failed to certify that certain models of dehumidifiers comply with the applicable energy conservation standards.

  12. BSH: Order (2013-CE-2001)

    Energy.gov [DOE]

    DOE ordered BSH Home Appliances Corp. to pay a $8,000 civil penalty after finding BSH had failed to certify that certain models of residential clothes washers comply with the applicable energy/water conservation standards.

  13. Almo: Order (2012-CE-1416)

    Energy.gov [DOE]

    DOE ordered Almo Corporation to pay a $6,500 civil penalty after finding Almo had failed to certify that certain models of residential refrigerators comply with the applicable energy conservation standards.

  14. Averen: Order (2010-CW-0711)

    Energy.gov [DOE]

    DOE ordered Averen, Inc. to pay a $5,000 civil penalty after finding Averen had failed to certify that certain models of faucets comply with the applicable water conservation standards.

  15. Danco: Order (2015-CW-28006)

    Energy.gov [DOE]

    DOE ordered Danco, Inc. to pay a $8,000 civil penalty after finding Danco had failed to certify that certain models of faucets comply with the applicable water conservation standards.

  16. Kohler: Order (2014-CW-30003)

    Energy.gov [DOE]

    DOE ordered Kohler Co. to pay a $8,000 civil penalty after finding Kohler had failed to certify that certain models of water closets comply with the applicable water conservation standards.

  17. Morris: Order (2013-SE-5403)

    Energy.gov [DOE]

    DOE ordered Morris Products, Inc. to pay a $170,720 civil penalty after finding Morris had manufactured and distributed in commerce in the U.S. a large quantity of noncompliant metal halide lamp fixtures.

  18. Curtis: Order (2015-CE-14021)

    Energy.gov [DOE]

    DOE ordered Curtis International, Ltd. to pay a $5,800 civil penalty after finding Curtis had failed to certify that refrigerator-freezer basic model FR9211 complies with the applicable energy conservation standards.

  19. Harrington: Order (2014-SW-28011)

    Energy.gov [DOE]

    DOE ordered Harrington Brass Works to pay a $10,000 civil penalty after finding Harrington had manufactured and distributed in commerce in the U.S. 832 units of individual model 20-210-026, a noncompliant faucet.

  20. Nicor: Order (2014-CE-32016)

    Energy.gov [DOE]

    DOE ordered Nicor, Inc. to pay a $8,000 civil penalty after finding Nicor had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  1. Perlick: Order (2013-SE-14002)

    Energy.gov [DOE]

    DOE ordered Perlick Corporation to pay a $60,725 civil penalty after finding Perlick had manufactured and distributed in commerce in the U.S. 347 units of basic model HP48RR, a noncompliant refrigerator.

  2. Perlick: Order (2013-SE-14001)

    Energy.gov [DOE]

    DOE ordered Perlick Corporation to pay a $168,200 civil penalty after finding Perlick had manufactured and distributed in commerce in the U.S. 841 units of basic model HP24F, a noncompliant freezer.

  3. Northland: Order (2014-CE-23002)

    Energy.gov [DOE]

    DOE ordered Northland Corporation d/b/a AGA Marvel to pay a $16,000 civil penalty after finding Northland had failed to certify that certain models of cooking products comply with the applicable energy conservation standards.

  4. Haier: Order (2011-CE-2104)

    Energy.gov [DOE]

    DOE ordered Haier to pay an $20,000 civil penalty after finding Haier had failed to certify that Haier residential clothes dryers comply with the applicable energy conservation standard.

  5. Amerisink: Order (2010-CW-0710)

    Energy.gov [DOE]

    DOE ordered Amerisink, Inc. to pay a $5,000 civil penalty after finding Amerisink had failed to certify that certain models of faucets comply with the applicable water conservation standards.

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

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

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

  7. Toxic Substances Control Act (TSCA) chemical substances inventory: PMN number to EPA accession number link (for microcomputers). Data file

    SciTech Connect

    Not Available

    1994-05-01

    The PMN Number to EPA Accession Number Link Diskette provides a cross-reference of these numbers for commenced PMNs on the confidential portion of the Toxic Substances Control Act (TSCA) Master Inventory File. Neither this cross-reference nor the additional information included is TSCA Confidential Business Information. Provided on the diskette for each confidential commenced PMN are the PMN Case Number, EPA Accession Number, Generic Name, and EPA special flags. For more detailed information on the confidential portion of the TSCA Inventory, including generic names, users can consult the introductory material of the printed TSCA Inventory: 1985 Edition and its 1990 Supplement. New versions of this file may be issued in the future.

  8. Exploring intertwined orders in cuprate superconductors

    SciTech Connect

    Tranquada, John M.

    2014-11-22

    In this study, the concept of intertwined orders has been introduced to describe the cooperative relationship between antiferromagnetic spin correlations and electron (or hole) pair correlations that develop in copper-oxide superconductors. This contrasts with systems in which, for example, charge-density-wave (CDW) order competes for Fermi surface area with superconductivity. La2-xBaxCuO4 with x = 0.125 provides an example in which the ordering of spin stripes coincides with the onset of two-dimensional superconducting correlations. The apparent frustration of the interlayer Josephson coupling has motivated the concept of the pair-density-wave superconductor, a state that theoretical calculations show to be energetically competitive with the uniform d-wave superconductor. Even at x = 0.095, where there is robust superconductivity below 32 K in zero field, the coexistence of strong, low-energy, incommensurate spin excitations implies a spatially modulated and intertwined pair wave function. Recent observations of CDW order in YBa2Cu3O6+x and other cuprate families have raised interesting questions regarding the general role of charge modulations and the relation to superconductivity. While there are differences in the doping dependence of the modulation wave vectors in YBa2Cu3O6+x and La2-xBaxCuO4, the maximum ordering strength is peaked at the hole concentration of 1/8 in both cases. There are also possible connections with the quantum oscillations that have been detected about the same hole concentration but at high magnetic fields. Resolving these relationships remains a research challenge.

  9. Exploring intertwined orders in cuprate superconductors

    DOE PAGES [OSTI]

    Tranquada, John M.

    2014-11-22

    In this study, the concept of intertwined orders has been introduced to describe the cooperative relationship between antiferromagnetic spin correlations and electron (or hole) pair correlations that develop in copper-oxide superconductors. This contrasts with systems in which, for example, charge-density-wave (CDW) order competes for Fermi surface area with superconductivity. La2-xBaxCuO4 with x = 0.125 provides an example in which the ordering of spin stripes coincides with the onset of two-dimensional superconducting correlations. The apparent frustration of the interlayer Josephson coupling has motivated the concept of the pair-density-wave superconductor, a state that theoretical calculations show to be energetically competitive with themore » uniform d-wave superconductor. Even at x = 0.095, where there is robust superconductivity below 32 K in zero field, the coexistence of strong, low-energy, incommensurate spin excitations implies a spatially modulated and intertwined pair wave function. Recent observations of CDW order in YBa2Cu3O6+x and other cuprate families have raised interesting questions regarding the general role of charge modulations and the relation to superconductivity. While there are differences in the doping dependence of the modulation wave vectors in YBa2Cu3O6+x and La2-xBaxCuO4, the maximum ordering strength is peaked at the hole concentration of 1/8 in both cases. There are also possible connections with the quantum oscillations that have been detected about the same hole concentration but at high magnetic fields. Resolving these relationships remains a research challenge.« less

  10. Fluctuations of the number of particles within a given volume in cold quantum gases

    SciTech Connect

    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.

  11. Teddico: Order (2012-SE-5409)

    Energy.gov [DOE]

    DOE ordered The Electrical Design, Development and Implementation Company d/b/a Teddico to pay a $18,994 civil penalty after finding Teddico had manufactured and distributed in commerce in the U.S. 218 units of a variety of noncompliant metal halide lamp fixtures basic models.

  12. Hicon: Order (2013-SE-1426)

    Energy.gov [DOE]

    DOE ordered Ningbo Hicon International Industry Company, Ltd. to pay a $1,912,714 civil penalty after finding Hicon had manufactured and distributed in commerce in the U.S. 115,126 units of basic model BD-200, a noncompliant freezer.

  13. Topaz: Order (2014-CE-35005)

    Energy.gov [DOE]

    DOE ordered Topaz Lighting Corp. to pay a $8,000 civil penalty after finding Topaz had failed to certify that certain basic models of medium base compact fluorescent lamps, general service fluorescent lamps, and illuminated exit signs comply with the applicable energy conservation standards.

  14. PQL: Order (2013-CE-27001)

    Energy.gov [DOE]

    DOE ordered P.Q.L., Inc. to pay a $8,000 civil penalty after finding PQL had failed to certify that various basic models of medium base compact fluorescent lamps, general service fluorescent lamps, fluorescent lamp ballasts, and illuminated exit signs comply with the applicable energy conservation standards.

  15. Versonel: Order (2014-CE-21009)

    Energy.gov [DOE]

    DOE ordered Smart Surplus, Inc. d/b/a Versonel to pay a $8,000 civil penalty after finding Versonel had failed to certify that certain models of refrigerators and residential clothes dryers comply with the applicable energy conservation standards.

  16. Watermark: Order (2011-SW-2908)

    Energy.gov [DOE]

    DOE ordered Watermark Designs, Ltd. to pay a $4,200 civil penalty after finding Watermark Designs, Ltd. had manufactured and distributed in commerce in the U.S. sixty-three units of basic model SH-FAL90, a noncompliant showerhead.

  17. ELCO: Order (2014-SE-54005)

    Energy.gov [DOE]

    DOE ordered ELCO Lighting to pay a $14,000 civil penalty after finding ELCO had failed to certify that certain models of illuminated exit signs and metal halide lamp fixtures comply with the applicable energy conservation standards and had failed to provide requested test data.

  18. Midea: Order (2013-SE-1505)

    Energy.gov [DOE]

    DOE ordered GD Midea Air-Conditioning Equipment Co. Ltd. to pay a $416,800 civil penalty after finding Midea had manufactured and distributed in commerce in the U.S. atleast 14,968 units of basic model MWJ1-08ERN1-BI8, a noncompliant room air conditioner.

  19. Philips: Order (2014-SE-48006)

    Energy.gov [DOE]

    DOE ordered Philips Lighting North America Corp. to pay a $75,000 civil penalty after finding Philips had manufactured and distributed in commerce in the U.S. at least 12,275 units of a variety of illuminated exit sign models.

  20. Whirlpool: Order (2013-SE-1420)

    Energy.gov [DOE]

    DOE ordered Whirlpool Corporation to pay a $5,329,800 civil penalty after finding Whirlpool had manufactured and distributed in commerce in the U.S. at least 26,649 units of basic model 8TAR81 noncompliant refrigerator-freezer.

  1. Kichler: Order (2014-CE-32007)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered The L.D. Kichler Co. d/b/a Kichler Lighting to pay a $8,000 civil penalty after finding Kichler had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  2. Yosemite: Order (2014-CE-32015)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered Northern Central Distributing, Inc. d/b/a Yosemite Home Dcor to pay a $8,000 civil penalty after finding Yosemite had failed to certify that certain models of ceiling fans comply with the applicable energy conservation standards.

  3. True: Order (2015-SE-42049)

    Energy.gov [DOE]

    DOE ordered True Manufacturing Co., Inc., to pay a $36,400 civil penalty after finding True had manufactured and distributed in commerce in the U.S. 182 units of True commercial refrigerator basic models TCGG-72 and TCGG-72-S, which did not meet the application energy conservation standard.

  4. LG: Order (2014-SE-15011)

    Energy.gov [DOE]

    DOE ordered LG Electronics USA, Inc. to pay a $1,479,860 civil penalty after finding LG had manufactured and distributed in commerce in the U.S. at least 7,438 units of basic model LT143CNR, a noncompliant room air conditioner.

  5. Philips: Order (2012-SE-2605)

    Energy.gov [DOE]

    DOE ordered Philips Lighting Electronics N. A. to pay a $82,478 civil penalty after finding Philips had manufactured and distributed in commerce in the U.S. 7,498 units of basic model VEL-1S40-SC, noncompliant fluorescent lamp ballasts.

  6. Universal: Order (2013-SE-26004)

    Energy.gov [DOE]

    DOE ordered Universal Lighting Technologies, Inc. to pay a $7,264 civil penalty after finding Universal had manufactured and distributed in commerce in the U.S. 454 units of model B140R277HP, a noncompliant fluorescent lamp ballast.

  7. Order 430.1D

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

    4 In response to requirements of Executive Order 13287, Preserve America Office of History and Heritage Resources Office of the Executive Secretariat U.S. Department of Energy September 2014 An Assessment of Historic Properties and Preservation Activities at the U.S. Department of Energy Table of Contents Introduction ............................................................................................................................................ 3 Part I. Background and Overview

  8. Order 580.1D

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

    580.1D Title: PERSONAL PROPERTY MANAGEMENT Owner: Thomas Wilson, Jr., Office of Institutional Operations Approving Official: Bradley J. Tomer, Chief Operating Officer, Office of the Director {signature} /s/ Bradley J. Tomer Approval Date: 8/3/12 Last Reviewed Date: 8/3/12 Cancellation: Order 580.1C, Personal Property Management TABLE OF CONTENTS 1. PURPOSE ..................................................................................................................................... 2 2.

  9. Midea: Order (2014-SW-20001)

    Energy.gov [DOE]

    DOE ordered Hefei Rongshida Washing Equipment Manufacturing Co., Ltd. ("Hefei Rongshida"), a subsidiary of Midea Group, to pay a $64,780 civil penalty after finding Hefei Rongshida had manufactured and distributed in commerce in the U.S. 324 units of MAE80-S1702GPS, a noncompliant residential clothes washer.

  10. Traulsen: Order (2015-SE-42002)

    Energy.gov [DOE]

    DOE ordered Traulsen – ITW Food Group LLC to pay a $52,600 civil penalty after finding Traulsen had manufactured and distributed in commerce in the U.S. at least 284 units of commercial refrigerator-freezer basic model RDT132DUT-HHS, a noncompliant product.

  11. Bigwall: Order (2014-SE-15006)

    Energy.gov [DOE]

    DOE ordered Bigwall Enterprises, Inc. to abide by the terms of the Notice of Noncompliance Determination, issued on February 11, 2014, after finding Bigwall Enterprises, Inc. had privately labeled and distributed in commerce in the U.S. at least 600 units of PerfectAire brand room air conditioner model PACH8000.

  12. INTERSTELLAR SONIC AND ALFVENIC MACH NUMBERS AND THE TSALLIS DISTRIBUTION

    SciTech Connect

    Tofflemire, Benjamin M.; Burkhart, Blakesley; Lazarian, A.

    2011-07-20

    In an effort to characterize the Mach numbers of interstellar medium (ISM) magnetohydrodynamic (MHD) turbulence, we study the probability distribution functions (PDFs) of spatial increments of density, velocity, and magnetic field for 14 ideal isothermal MHD simulations at a resolution of 512{sup 3}. In particular, we fit the PDFs using the Tsallis function and study the dependency of the fit parameters on the compressibility and magnetization of the gas. We find that the Tsallis function fits PDFs of MHD turbulence well, with fit parameters showing sensitivities to the sonic and Alfven Mach numbers. For three-dimensional density, column density, and Position-Position-Velocity data, we find that the amplitude and width of the PDFs show a dependency on the sonic Mach number. We also find that the width of the PDF is sensitive to the global Alfvenic Mach number especially in cases where the sonic number is high. These dependencies are also found for mock observational cases, where cloud-like boundary conditions, smoothing, and noise are introduced. The ability of Tsallis statistics to characterize the sonic and Alfvenic Mach numbers of simulated ISM turbulence points to it being a useful tool in the analysis of the observed ISM, especially when used simultaneously with other statistical techniques.

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

    Gasoline and Diesel Fuel Update

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

  14. Case Studies

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

    OSCARS Case Studies Science DMZ Case Studies Multi-facility Workflow Case Study News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog...

  15. YMGI: Order (2011-SCE-1605)

    Energy.gov [DOE]

    DOE ordered YMGI Group LLC to pay a $31,400 civil penalty after finding (1) YMGI had failed to certify that certain models of residential central air conditioners comply with the applicable energy conservation standards and (2) YMGI had distributed in commerce model TTWC-18K-31B, a through-the-wall air conditioner that does not meet the applicable energy conservation standard.

  16. Cooper: Order (2012-SE-4701)

    Energy.gov [DOE]

    DOE ordered Cooper Power Systems, LLC to abide by the Compromise Agreement, which waived the civil penalty after finding Cooper had inadvertently distributed in commerce in the U.S. three models (total of five units) of distribution transformers. Cooper agrees to abide by the terms of a Notice of Noncompliance Determination to be issued pursuant to 10 C.F.R. § 429.114.

  17. International Refrigeration: Order (2012-CE-1510) | Department...

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

    International Refrigeration: Order (2012-CE-1510) International Refrigeration: Order (2012-CE-1510) July 20, 2012 DOE ordered International Refrigeration Products to pay an 8,000 ...

  18. Theory of Electron Nematic Order in LaOFeAs (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    Theory of Electron Nematic Order in LaOFeAs Citation Details ... OSTI Identifier: 975035 Report Number(s): SLAC-PUB-13975 ... Language: English Subject: 72 PHYSICS OF ELEMENTARY ...

  19. Ohio, et al. v. EPA, Order of Stay | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Ohio, et al. v. EPA, Order of Stay Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal CaseHearing: Ohio, et al. v. EPA, Order of StayLegal Abstract US Sixth...

  20. Low Mach Number Models in Computational Astrophysics

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

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

  1. Climate Zone Number 5 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  2. ORDER FOR SUPPLIES OR SERVICES

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

    2/12/2016 DE-DT0010705 16EM000994 EMCBC U.S. Department of Energy EM Consolidated Business Center 250 E. 5th Street, Suite 500 GILBERT TORRES SIGMA SCIENCE INC 500 MARQUETTE AVE. NW SUITE 1200 ALBUQUERQUE NM 87102 12. F.O.B. POINT Destination 0682/15/505460/01 ITEM NO. (a) SUPPLIES OR SERVICES (b) QUANTITY ORDERED (c) UNIT (d) UNIT PRICE (e) AMOUNT (f) QUANTITY ACCEPTED (g) X X 14 Destination Destination Cincinnati OH 45202 DE-EM0003878/ NET 30 f. SERVICE-DISABLED e. HUBZone g. WOMEN-OWNED SMALL

  3. Executive Order 13423: Strengthening Federal Environmental, Energy...

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

    Executive Order 13423: Strengthening Federal Environmental, Energy, and Transportation Management Executive Order 13423: Strengthening Federal Environmental, Energy, and ...

  4. MENTEE QUESTIONNAIRE Name: Title: Email: Office Phone Number:

    U.S. Department of Energy (DOE) - all 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

  5. On the binary expansions of algebraic numbers

    SciTech Connect

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

    2003-07-01

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

  6. Innovative Concept Appliances: Order (2010-CE-03/0415)

    Energy.gov [DOE]

    DOE issued an Order after entering into a Compromise Agreement with Innovative Concept Appliances, LLC. to resolve a case involving the failure to certify that a variety of residential clothes washers and clothes dryers comply with the applicable energy conservation standards.

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  9. Scaling exponents for ordered maxima

    SciTech Connect

    Ben-Naim, E.; Krapivsky, P. L.; Lemons, N. W.

    2015-12-22

    We study extreme value statistics of multiple sequences of random variables. For each sequence with N variables, independently drawn from the same distribution, the running maximum is defined as the largest variable to date. We compare the running maxima of m independent sequences and investigate the probability SN that the maxima are perfectly ordered, that is, the running maximum of the first sequence is always larger than that of the second sequence, which is always larger than the running maximum of the third sequence, and so on. The probability SN is universal: it does not depend on the distribution from which the random variables are drawn. For two sequences, SN~N–1/2, and in general, the decay is algebraic, SN~N–σm, for large N. We analytically obtain the exponent σ3≅1.302931 as root of a transcendental equation. Moreover, the exponents σm grow with m, and we show that σm~m for large m.

  10. Scaling exponents for ordered maxima

    DOE PAGES [OSTI]

    Ben-Naim, E.; Krapivsky, P. L.; Lemons, N. W.

    2015-12-22

    We study extreme value statistics of multiple sequences of random variables. For each sequence with N variables, independently drawn from the same distribution, the running maximum is defined as the largest variable to date. We compare the running maxima of m independent sequences and investigate the probability SN that the maxima are perfectly ordered, that is, the running maximum of the first sequence is always larger than that of the second sequence, which is always larger than the running maximum of the third sequence, and so on. The probability SN is universal: it does not depend on the distribution frommore » which the random variables are drawn. For two sequences, SN~N–1/2, and in general, the decay is algebraic, SN~N–σm, for large N. We analytically obtain the exponent σ3≅1.302931 as root of a transcendental equation. Moreover, the exponents σm grow with m, and we show that σm~m for large m.« less

  11. ARM - Measurement - Cloud particle number concentration

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

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

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

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

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

  13. Calculating Atomic Number Densities for Uranium

    Energy Science and Technology Software Center

    1993-01-01

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

  14. Identification of Export Control Classification Number - ITER

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

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

  15. Executive Order 13673 | Department of Energy

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

    673 Executive Order 13673 Executive Order 13673, proposed Federal Acquisition Regulation rule, and proposed Department of Labor guidance are available at: Executive Order 13673 Final Federal Acquisition Regulation Rule Final Department of Labor Guidance Informational slides about the Executive Order are available below: Executive Order 13673 (176.38 KB)

  16. Lattice Quantum Chromodynamics (SPI, mapping, site ordering,...

    Office of Scientific and Technical Information (OSTI)

    LCF Publication Date: 2013-05-14 OSTI Identifier: 1079769 Report Number(s): ANLALCFESP-1311 DOE Contract Number: DE-AC02-06CH11357 Resource Type: Technical Report Research...

  17. Bond Order Potentials for AlCuH and C. (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Bond Order Potentials for AlCuH and C. Citation Details In-Document Search Title: Bond Order Potentials for AlCuH and C. Abstract not provided. Authors: Zhou, Xiaowang ; Ward, Donald ; Foster, Michael E. ; Zimmerman, Jonathan A. Publication Date: 2015-07-01 OSTI Identifier: 1263961 Report Number(s): SAND2015-5559C 594950

  18. Cancellation Notice - Policies, Notices, Orders - DOE Directives,

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

    Delegations, and Requirements Policies, Notices, Orders by Patricia Greeson Upload File Upload the file here CancellationNotice-PoliciesNoticesOrdersManuals.docx - 27 KB Short Name cancellation-notice-policy-notice-order

  19. Metabolic Capabilities of the Members of the Order Halanaerobiales and Their Potential Biotechnological Applications

    SciTech Connect

    Roush, Daniel W; Elias, Dwayne A; Mormile, Dr. Melanie R.

    2014-01-01

    The order Halanaerobiales contains a number of well-studied halophiles that possess great potential for biotechnological applications. The unique halophilic adaptations that these organisms utilize, such as salting-in mechanisms to increase their intercellular concentration of KCl, combined with their ability to ferment simple sugars, provides an excellent platform for biotechnological development over a wide range of salt levels and possible other extreme conditions, such as alkaline conditions. From fermented foods to oil reservoirs, members of Halanaerobiales are found in many environments. The environmental conditions many of these organisms grow are similar to industrially important processes, such as alkaline pre-treated biomass stocks, treatment of crude glycerol from biodiesel production, salty fermented foods, as well as bioremediation of contaminants under extreme conditions of salinity and in some cases, alkalinity. From salt stable enzymes to waste fermentations, bioremediation options, bioenergy, and microbially enhanced oil recovery (MEOR), Halanaerobiales can provide a wide spectrum of environmentally friendly solutions to current problems.

  20. Case Studies

    Energy.gov [DOE]

    The following case studies are examples of integrating renewable energy into Federal new construction and major renovation projects. Additional renewable energy case studies are also available.

  1. Triangular Alignment (TAME). A Tensor-based Approach for Higher-order Network Alignment

    SciTech Connect

    Mohammadi, Shahin; Gleich, David F.; Kolda, Tamara G.; Grama, Ananth

    2015-11-01

    Network alignment is an important tool with extensive applications in comparative interactomics. Traditional approaches aim to simultaneously maximize the number of conserved edges and the underlying similarity of aligned entities. We propose a novel formulation of the network alignment problem that extends topological similarity to higher-order structures and provide a new objective function that maximizes the number of aligned substructures. This objective function corresponds to an integer programming problem, which is NP-hard. Consequently, we approximate this objective function as a surrogate function whose maximization results in a tensor eigenvalue problem. Based on this formulation, we present an algorithm called Triangular AlignMEnt (TAME), which attempts to maximize the number of aligned triangles across networks. We focus on alignment of triangles because of their enrichment in complex networks; however, our formulation and resulting algorithms can be applied to general motifs. Using a case study on the NAPABench dataset, we show that TAME is capable of producing alignments with up to 99% accuracy in terms of aligned nodes. We further evaluate our method by aligning yeast and human interactomes. Our results indicate that TAME outperforms the state-of-art alignment methods both in terms of biological and topological quality of the alignments.

  2. Lattice vibrations in the Frenkel-Kontorova model. I. Phonon dispersion, number density, and energy

    DOE PAGES [OSTI]

    Meng, Qingping; Wu, Lijun; Welch, David O.; Zhu, Yimei

    2015-06-17

    We studied the lattice vibrations of two inter-penetrating atomic sublattices via the Frenkel-Kontorova (FK) model of a linear chain of harmonically interacting atoms subjected to an on-site potential, using the technique of thermodynamic Green's functions based on quantum field-theoretical methods. General expressions were deduced for the phonon frequency-wave-vector dispersion relations, number density, and energy of the FK model system. In addition, as the application of the theory, we investigated in detail cases of linear chains with various periods of the on-site potential of the FK model. Some unusual but interesting features for different amplitudes of the on-site potential of themore » FK model are discussed. In the commensurate structure, the phonon spectrum always starts at a finite frequency, and the gaps of the spectrum are true ones with a zero density of modes. In the incommensurate structure, the phonon spectrum starts from zero frequency, but at a non-zero wave vector; there are some modes inside these gap regions, but their density is very low. In our approximation, the energy of a higher-order commensurate state of the one-dimensional system at a finite temperature may become indefinitely close to the energy of an incommensurate state. This finding implies that the higher-order incommensurate-commensurate transitions are continuous ones and that the phase transition may exhibit a “devil's staircase” behavior at a finite temperature.« less

  3. Effect of cation ordering on oxygen vacancy diffusion pathways in double perovskites

    DOE PAGES [OSTI]

    Uberuaga, Blas Pedro; Pilania, Ghanshyam

    2015-07-08

    Perovskite structured oxides (ABO3) are attractive for a number of technological applications, including as superionics because of the high oxygen conductivities they exhibit. Double perovskites (AA’BB’O6) provide even more flexibility for tailoring properties. Using accelerated molecular dynamics, we examine the role of cation ordering on oxygen vacancy mobility in one model double perovskite SrLaTiAlO6. We find that the mobility of the vacancy is very sensitive to the cation ordering, with a migration energy that varies from 0.6 to 2.7 eV. In the extreme cases, the mobility is both higher and lower than either of the two end member single perovskites.more » Further, the nature of oxygen vacancy diffusion, whether one-dimensional, two-dimensional, or three-dimensional, also varies with cation ordering. We correlate the dependence of oxygen mobility on cation structure to the distribution of Ti4+ cations, which provide unfavorable environments for the positively charged oxygen vacancy. The results demonstrate the potential of using tailored double perovskite structures to precisely control the behavior of oxygen vacancies in these materials.« less

  4. Implementation of Executive Order 12114 Environmental Effects...

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

    Implementation of Executive Order 12114 Environmental Effects Abroad of Major Federal Actions: Final Guideline (DOE, 1981) Implementation of Executive Order 12114 Environmental ...

  5. Idaho National Engineering Laboratory Consent Order, November...

    Office of Environmental Management (EM)

    Consent Order, November 1, 1995 State Idaho Agreement Type Consent Order Legal Driver(s) FFCAct Scope Summary Resolve LDR storage violations. Approve the modified "INEL Site...

  6. Public Order and Safety | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Safety Jump to: navigation, search Building Type Public Order and Safety Definition Buildings used for the preservation of law and order or public safety. Sub Categories police...

  7. Order - DOE Directives, Delegations, and Requirements

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

    Order by Website Administrator application/vnd.openxmlformats-officedocument.wordprocessingml.document icon order template.docx - application/vnd.openxmlformats-officedocument.wordprocessingml.document, 48 KB (49165

  8. West Valley Demonstration Project Administrative Consent Order...

    Office of Environmental Management (EM)

    West Valley Demonstration Project (WVDP) Adminstrative Consent Order, August 27, 1996 State New York Agreement Type Consent Order Legal Driver(s) FFCAct Scope Summary Establish ...

  9. Departmental Business Instrument Numbering System for Actions Conducted Outside of the Strategic Integrated Procurement Enterprise System (STRIPES)

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

    2008-05-23

    The Order prescribes procedures for assigning identifying numbers to all new business instruments processed outside the Strategic Integrated Procurement Enterprise System. Cancels DOE O 540.1A.

  10. Administrative Order Requiring Compliance and Assessing Civil Penalty

    Energy.gov [DOE]

    Administrative Compliance Order No. HWB-14-20 (CO) Pursuant to the New Mexico Hazardous Waste Act ("HWA"), NMSA 1978, Sections 74-4-1 to -14, the Hazardous Waste Bureau ("HWB") of the Environmental Health Division ("Division") of the New Mexico Environmental Department ("NMED") issues this Administrative Compliance Order ("Order") to the United States Department of Energy ("DOE"), and Los Alamos National Security, LLC ("LANS"; collectively, with DOE, the "Respondents"), requiring the Respondents to comply with the terms and conditions of this Order relating to the Los Alamos National Laboratory ("LANL" or "Facility"), and assessing a civil penalty for violations of the HWA, the Hazardous Waste Management Regulations, 20.4.1 NMAC ("HWMR"), and the Facility Permit, EPA I.D. NUMBER NM0890010515-TSDF (Permit").

  11. Physician Treatment Order | Department of Energy

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

    Physician Treatment Order Physician Treatment Order FEDERAL OCCUPATIONAL HEALTH Physician Treatment Orders - FOH-24 Form (formerly 229-B) FOH-24 Physician Treatment Orders.pdf (14.87 KB) More Documents & Publications Allergy Injection Policy Handicapped Parking Guidance Before the House Foreign Affairs Subcommittee on Asia, the Pacific and the Global Environment

  12. Executive Order 12123 | Department of Energy

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

    2123 Executive Order 12123 Document covers the extracted pages of Executive Order 12123. Download pages of Executive Order 12123. (124.43 KB) More Documents & Publications EO 13123-Greening the Government Through Efficient Energy Management Project Reports for Yukon-Kuskokwim Health Corporation - 2002 Project Executive Order 13221-Energy Efficient Standby Power Devices

  13. Supplement Number 5 to the Operating Plan of Mirant Potomac River...

    Energy Saver

    5 to the Operating Plan of Mirant Potomac River, LLC in Compliance with Order No. 202-05-03 Supplement Number 5 to the Operating Plan of Mirant Potomac River, LLC in Compliance ...

  14. Mo Year Report Period: EIA ID NUMBER:

    Energy Information Administration (EIA) (indexed site)

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

  15. Identification of Export Control Classification Number - ITER

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

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

  16. Microscopic analysis of order parameters in nuclear quantum phase transitions

    SciTech Connect

    Li, Z. P.; Niksic, T.; Vretenar, D.; Meng, J.

    2009-12-15

    Microscopic signatures of nuclear ground-state shape phase transitions in Nd isotopes are studied using excitation spectra and collective wave functions obtained by diagonalization of a five-dimensional Hamiltonian for quadrupole vibrational and rotational degrees of freedom, with parameters determined by constrained self-consistent relativistic mean-field calculations for triaxial shapes. As a function of the physical control parameter, the number of nucleons, energy gaps between the ground state and the excited vibrational states with zero angular momentum, isomer shifts, and monopole transition strengths exhibit sharp discontinuities at neutron number N=90, which is characteristic of a first-order quantum phase transition.

  17. Higher-order photon correlations in pulsed photonic crystal nanolasers

    SciTech Connect

    Elvira, D.; Hachair, X.; Braive, R.; Beaudoin, G.; Robert-Philip, I.; Sagnes, I.; Abram, I.; Beveratos, A.; Verma, V. B.; Baek, B.; Nam, S. W.; Stevens, M. J.; Dauler, E. A.

    2011-12-15

    We report on the higher-order photon correlations of a high-{beta} nanolaser under pulsed excitation at room temperature. Using a multiplexed four-element superconducting single-photon detector we measured g{sup (n)}(0-vector) with n=2,3,4. All orders of correlation display partially chaotic statistics, even at four times the threshold excitation power. We show that this departure from coherence and Poisson statistics is due to the quantum fluctuations associated with the small number of photons at the lasing threshold.

  18. Atomic scale studies of La/Sr ordering in colossal magnetoresistant La2-2xSr1+2xMn2O7 single crystals

    DOE PAGES [OSTI]

    Roldan, Manuel A.; Oxley, Mark P.; Li, Qing'an A.; Zheng, Hong; Gray, Kenneth E.; Mitchell, John F.; Pennycook, Stephen J.; Varela, Maria

    2014-09-29

    In this study, it is unclear whether chemical order (or disorder) is in any way connected to double exchange, electronic phase separation, or charge ordering (CO) in manganites. In this work, we carry out an atomic resolution study of the colossal magnetoresistant manganite La2–2xSr1+2xMn2O7 (LSMO). We combine aberration-corrected electron microscopy and spectroscopy with spectroscopic image simulations, to analyze cation ordering at the atomic scale in real space in a number of LSMO single crystals. We compare three different compositions within the phase diagram: a ferromagnetic metallic material (x=0.36), an insulating, antiferromagnetic charge ordered (AF-CO) compound (x=0.5), which also exhibits orbitalmore » ordering, and an additional AF sample (x=0.56). Detailed image simulations are essential to accurately quantify the degree of chemical ordering of these samples. We find a significant degree of long-range chemical ordering in all cases, which increases in the AF-CO range. However, the degree of ordering is never complete nor can it explain the strongly correlated underlying ordering phenomena. Our results show that chemical ordering over distinct crystallographic sites is not needed for electronic ordering phenomena to appear in manganites, and cannot by itself explain the complex electronic behavior of LSMO.« less

  19. Kubo relations and radiative corrections for lepton number washout

    SciTech Connect

    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.

  20. WIPP Documents - All documents by number

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

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

  1. Approximate resolution of hard numbering problems

    SciTech Connect

    Bailleux, O.; Chabrier, J.J.

    1996-12-31

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

  2. Probing lepton number violation on three frontiers

    SciTech Connect

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

    2013-12-30

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

  3. Case Studies

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

    Case Studies Case Studies The following case studies will be included in the HEP report. Final case studies are due January 7, 2013. Lattice Gauge Theories - Lead: Doug Toussaint Simulations for Cosmic Frontier Experiments - Leads: Peter Nugent & Andrew Connelly Cosmic Microwave Background Data Analysis - Lead: Julian Borrill Cosmological Simulations - Lead: Salman Habib Plasma Accelerator Simulation Using Laser and Particle Beam Drivers - Leads: Cameron Geddes & Frank Tsung Community

  4. Feasibility and robustness of dose painting by numbers in proton therapy with contour-driven plan optimization

    SciTech Connect

    Barragán, A. M. Differding, S.; Lee, J. A.; Sterpin, E.; Janssens, G.

    2015-04-15

    Purpose: To prove the ability of protons to reproduce a dose gradient that matches a dose painting by numbers (DPBN) prescription in the presence of setup and range errors, by using contours and structure-based optimization in a commercial treatment planning system. Methods: For two patients with head and neck cancer, voxel-by-voxel prescription to the target volume (GTV{sub PET}) was calculated from {sup 18}FDG-PET images and approximated with several discrete prescription subcontours. Treatments were planned with proton pencil beam scanning. In order to determine the optimal plan parameters to approach the DPBN prescription, the effects of the scanning pattern, number of fields, number of subcontours, and use of range shifter were separately tested on each patient. Different constant scanning grids (i.e., spot spacing = Δx = Δy = 3.5, 4, and 5 mm) and uniform energy layer separation [4 and 5 mm WED (water equivalent distance)] were analyzed versus a dynamic and automatic selection of the spots grid. The number of subcontours was increased from 3 to 11 while the number of beams was set to 3, 5, or 7. Conventional PTV-based and robust clinical target volumes (CTV)-based optimization strategies were considered and their robustness against range and setup errors assessed. Because of the nonuniform prescription, ensuring robustness for coverage of GTV{sub PET} inevitably leads to overdosing, which was compared for both optimization schemes. Results: The optimal number of subcontours ranged from 5 to 7 for both patients. All considered scanning grids achieved accurate dose painting (1% average difference between the prescribed and planned doses). PTV-based plans led to nonrobust target coverage while robust-optimized plans improved it considerably (differences between worst-case CTV dose and the clinical constraint was up to 3 Gy for PTV-based plans and did not exceed 1 Gy for robust CTV-based plans). Also, only 15% of the points in the GTV{sub PET} (worst case) were

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

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

  11. Reduced Order Model Implementation in the Risk-Informed Safety Margin Characterization Toolkit

    SciTech Connect

    Mandelli, Diego; Smith, Curtis L.; Alfonsi, Andrea; Rabiti, Cristian; Cogliati, Joshua J.; Talbot, Paul W.; Rinaldi, Ivan; Maljovec, Dan; Wang, Bei; Pascucci, Valerio; Zhao, Haihua

    2015-09-01

    The RISMC project aims to develop new advanced simulation-based tools to perform Probabilistic Risk Analysis (PRA) for the existing fleet of U.S. nuclear power plants (NPPs). These tools numerically model not only the thermo-hydraulic behavior of the reactor primary and secondary systems but also external events temporal evolution and components/system ageing. Thus, this is not only a multi-physics problem but also a multi-scale problem (both spatial, µm-mm-m, and temporal, ms-s-minutes-years). As part of the RISMC PRA approach, a large amount of computationally expensive simulation runs are required. An important aspect is that even though computational power is regularly growing, the overall computational cost of a RISMC analysis may be not viable for certain cases. A solution that is being evaluated is the use of reduce order modeling techniques. During the FY2015, we investigated and applied reduced order modeling techniques to decrease the RICM analysis computational cost by decreasing the number of simulations runs to perform and employ surrogate models instead of the actual simulation codes. This report focuses on the use of reduced order modeling techniques that can be applied to any RISMC analysis to generate, analyze and visualize data. In particular, we focus on surrogate models that approximate the simulation results but in a much faster time (µs instead of hours/days). We apply reduced order and surrogate modeling techniques to several RISMC types of analyses using RAVEN and RELAP-7 and show the advantages that can be gained.

  12. GreenOrder | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    York Zip: 10016 Product: Founded in 2000, GreenOrder is a sustainability strategy and marketing firm References: GreenOrder1 This article is a stub. You can help OpenEI by...

  13. cd ordering | netl.doe.gov

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

    CD-DVD Ordering System Please complete the following information so the National Energy Technology Lab (NETL) can promptly process your order. Below is a sample of the fields...

  14. Consent Order EA-2005-01

    Office of Environmental Management (EM)

    ... Final Order upon receipt of said amount referenced in Item 1, above. 4. Bechtel Hanford waives any and all rights to appeal or otherwise seek judicial review of this Consent Order. ...

  15. West Valley Demonstration Project Administrative Consent Order...

    Office of Environmental Management (EM)

    Administrative Order on Consent DOCKET No. II RCRA-3008(h)-I 92-0202 State New York Agreement Type Consent Order Legal Driver(s) RCRA Scope Summary Protect human health and the ...

  16. Quarterly Reports 2016 as Required by Admin Orders

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

    Quarterly Report 2016 Quarterly Report for the Reporting Period between July 1, 2016, through September 30, 2016, as required by NMED Administrative Orders dated February 27, 2014, and May 12, 2014, as amended by NMED Directives dated August 29, 2014, December 9, 2014, July 15, 2015, and February 26, 2016 Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Todd Shrader/CBFO and Phillp J. Breidenbach/NWP dated October 26, 2016. Quarterly Report for the Reporting

  17. Attachment J-16 Portfolio Management Task Order 14-001

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

    Mod 323 Attachment J-16 Portfolio Management Task Order 14-001 Statement of Work - 1 - Title: AMRP PBS 41 - Project Management / Project Controls Support Revision Number: 0 Date: September 17, 2013 Start: October 1, 2013 Finish: September 30, 2014 1.0 DESCRIPTION Mission Support Alliance (MSA) Portfolio Management (PFM) will provide the following project management/project controls support services as described below. The services will be performed in accordance with Contract DE-AC06-09RL14728,

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

    SciTech Connect

    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

  19. LLNS Beryllium Consent Order Fact Sheet

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

    - LLNS Beryllium Consent Order SUMMARY OF CONSENT ORDER In November 2010, the U.S. Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) issued a consent order to Lawrence Livermore National Security, LLC (LLNS) for deficiencies related to LLNS's implementation of DOE's Chronic Beryllium Disease Prevention Program (CBDPP) regulation at Lawrence Livermore National Laboratory. The consent order requires LLNS to implement corrective actions that will ensure LLNS meets

  20. Portsmouth Administrative Consent Order | Department of Energy

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

    Administrative Consent Order Portsmouth Administrative Consent Order Portsmouth Administrative Consent Order ensures compliance by DOE at the Portsmouth Site with the Resource Recovery and Compensation Act, the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) 42 U.S.C. 6901, and implementing regulations. The Order establishes a structure for oversight of DOE activities which encourages expeditious and efficient cleanup of hazardous waste, hazardous constituents

  1. Executive Order 13423- Strengthening Federal Environmental, Energy...

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

    Environmental, Energy, and Transportation Management Executive Order 13423- Strengthening Federal Environmental, Energy, and Transportation Management It is the policy of ...

  2. DNA Clone Ordering from Shotgun Clone Libraries

    Energy Science and Technology Software Center

    1995-11-28

    CORD is an implementation of an algorithm for determining the order of clones from shotgun clone libraries.

  3. Climate Zone Number 1 | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

  4. Nevada Number of Natural Gas Consumers

    Annual Energy Outlook

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

  5. Washington Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

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

  6. North Carolina Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

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

  7. Pennsylvania Number of Natural Gas Consumers

    Annual Energy Outlook

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

  8. The New Element Curium (Atomic Number 96)

    DOE R&D Accomplishments

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

    1948-00-00

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

  9. Oklahoma Number of Natural Gas Consumers

    Annual Energy Outlook

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

  10. New Mexico Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

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

  11. Kansas Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update

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

  12. New Hampshire Number of Natural Gas Consumers

    Annual Energy Outlook

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

  13. Minnesota Number of Natural Gas Consumers

    Annual Energy Outlook

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

  14. Antenna factorization in strongly ordered limits

    SciTech Connect

    Kosower, David A.

    2005-02-15

    When energies or angles of gluons emitted in a gauge-theory process are small and strongly ordered, the emission factorizes in a simple way to all orders in perturbation theory. I show how to unify the various strongly ordered soft, mixed soft-collinear, and collinear limits using antenna factorization amplitudes, which are generalizations of the Catani-Seymour dipole factorization function.

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

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

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

  16. Finite Mach number spherical shock wave, application to shock ignition

    SciTech Connect

    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.

  17. Louisiana Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  18. Maine Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  19. Mississippi Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  20. Missouri Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  1. Montana Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  2. Nebraska Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  3. Alabama Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  4. Alaska Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  5. Arkansas Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  6. North Dakota Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  7. Oregon Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  8. Rhode Island Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  9. South Carolina Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  10. South Dakota Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  11. Tennessee Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  12. Number of Gas Producing Oil Wells

    Gasoline and Diesel Fuel Update

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

  13. Utah Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  14. Vermont Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  15. Washington Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  16. West Virginia Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  17. Wisconsin Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  18. Colorado Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  19. Connecticut Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  20. Delaware Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  1. Florida Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  2. Hawaii Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  3. Idaho Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  4. Iowa Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  5. Kentucky Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

  6. Wyoming Number of Natural Gas Consumers

    Energy Information Administration (EIA) (indexed site)

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

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

    Gasoline and Diesel Fuel Update

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

  8. Notices Total Estimated Number of Annual

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

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

  9. WIPP Site By The Numbers August 2015

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

    0 ft. By the Numbers The Waste Isolation Pilot Plant (WIPP) is a Department of Energy facility designed to safely isolate defense- related transuranic (TRU) waste from people and the environment. WIPP, which began waste disposal operations in 1999, is located 26 miles outside of Carlsbad, New Mexico. Waste temporarily stored at sites around the country is shipped to WIPP and permanently disposed in rooms mined out of an ancient salt formation below the surface. TRU waste destined for WIPP

  10. Table B14. Number of Establishments in Building, Number of Buildings, 1999

    Energy Information Administration (EIA) (indexed site)

    4. Number of Establishments in Building, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Establishments in Building" ,,"One","Two to Five","Six to Ten","Eleven to Twenty","More than Twenty","Currently Unoccupied" "All Buildings ................",4657,3528,688,114,48,27,251 "Building Floorspace" "(Square Feet)" "1,001 to 5,000

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

    Energy Information Administration (EIA) (indexed site)

    of Elements) Acquifers Capacity (Number of Elements) U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49 2000's 49 39 38 43 43 44 44 43 43 43 2010's 43 43 44 47 46 47 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Number of

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

    Energy Information Administration (EIA) (indexed site)

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

  13. Amendment No. 3 to Delegation Order No. 204-108 Delegation Order...

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

    Amendment No. 3 to Delegation Order No. 204-108 Delegation Order for Approval of Power Marketing Administration Power and Transmission Rates by johnsonmd Functional areas:...

  14. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of

    Gasoline and Diesel Fuel Update

    Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 615 717 624 481 563 655 728 848 NA 787 2010's 774

  15. Resonant radiation from oscillating higher order solitons

    SciTech Connect

    Driben, R.; Yulin, A. V.; Efimov, A.

    2015-07-15

    We present radiation mechanism exhibited by a higher order soliton. In a course of its evolution the higher-order soliton emits polychromatic radiation resulting in formation of multipeak frequency comb-like spectral band. The shape and spectral position of this band can be effectively controlled by the relative strength of the third order dispersion. An analytical description is corroborated by numerical simulations. Research showed that for longer pulses the described effect persists also under the action of higher order perturbations such as Raman and self-steepening.

  16. Executive Order 13583, Establishing a Coordinated Government...

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

    13583, Establishing a Coordinated Government-Wide Initiative to Promote Diversity and Inclusion in the Federal Workforce Executive Order 13583, Establishing a Coordinated...

  17. President Truman Orders Development of Thermonuclear Weapon ...

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

    Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home About Us Our History NNSA Timeline President Truman Orders Development of Thermonuclear Weapon...

  18. West Valley Demonstration Project Administrative Consent Order...

    Office of Environmental Management (EM)

    ......... 7 CONCLUSIONS OF LAW...... 22 ORDER: ... New York State Environmental.Consenration Law ("ECL") Article 27, Titles 9 and 13 and 10 ...

  19. Order 3638: Corpus Christi Liquefaction Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is the order authorizing the Corpus Christi Liquefaction Project to export Liquefied Natural Gas (LNG) to non-FTA countries.

  20. Consent Order, Lawrence Livermore National National Security...

    Office of Environmental Management (EM)

    Lawrence Livermore National National Security, LLC - WCO-2010-01 Consent Order, Lawrence Livermore National National Security, LLC - WCO-2010-01 October 29, 2010 Issued to Lawrence ...

  1. NPS Director's Order | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    NPS Director's Order Author NPS Recipient NPS Published Publisher Not Provided, 02232010 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet...

  2. Executive Order 13514: Comprehensive Federal Fleet Management...

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

    Handbook offers guidance on meeting the fleet management requirements outlined in section 12 of Executive Order 13514: Federal Leadership in Environmental, Energy, and Economic ...

  3. Hexagonal Ordering of Nanoparticles | Argonne National Laboratory

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

    electron microscope, researchers can see the hexagonal ordering of nanoparticles in a gold nanoparticle membranes (right). This configuration helps researchers to simulate their...

  4. Consent Order, Brookhaven Science Associates, LLC | Department...

    Energy Saver

    Consent Order issued to Brookhaven Science Associates, LLC relating to an electrical shock event that occurred at the Brookhaven National Laboratory. On November 23,...

  5. Health Code Number (HCN) Development Procedure

    SciTech Connect

    Petrocchi, Rocky; Craig, Douglas K.; Bond, Jayne-Anne; Trott, Donna M.; Yu, Xiao-Ying

    2013-09-01

    This report provides the detailed description of health code numbers (HCNs) and the procedure of how each HCN is assigned. It contains many guidelines and rationales of HCNs. HCNs are used in the chemical mixture methodology (CMM), a method recommended by the department of energy (DOE) for assessing health effects as a result of exposures to airborne aerosols in an emergency. The procedure is a useful tool for proficient HCN code developers. Intense training and quality assurance with qualified HCN developers are required before an individual comprehends the procedure to develop HCNs for DOE.

  6. The New Element Berkelium (Atomic Number 97)

    DOE R&D Accomplishments

    Seaborg, G. T.; Thompson, S. G.; Ghiorso, A.

    1950-04-26

    An isotope of the element with atomic number 97 has been discovered as a product of the helium-ion bombardment of americium. The name berkelium, symbol Bk, is proposed for element 97. The chemical separation of element 97 from the target material and other reaction products was made by combinations of precipitation and ion exchange adsorption methods making use of its anticipated (III) and (IV) oxidation states and its position as a member of the actinide transition series. The distinctive chemical properties made use of in its separation and the equally distinctive decay properties of the particular isotope constitute the principal evidence for the new element.

  7. Experimental Stations by Number | Stanford Synchrotron Radiation

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

    Lightsource Experimental Stations by Number Beam Line by Techniques Photon Source Parameters Station Type Techniques Energy Range Contact Person Experimental Station 1-5 X-ray Materials Small-angle X-ray Scattering (SAXS) focused 4600-16000 eV Christopher J. Tassone Tim J. Dunn Experimental Station 2-1 X-ray Powder diffraction Thin film diffraction Focused 5000 - 14500 eV Apurva Mehta Charles Troxel Jr Experimental Station 2-2 X-ray X-ray Absorption Spectroscopy 5000 to 37000 eV Ryan Davis

  8. Supplement Number 1 to Operating Plan of Mirnat Potomac River, LLC in

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

    Compliance with Order No. 202-05-03 | Department of Energy 1 to Operating Plan of Mirnat Potomac River, LLC in Compliance with Order No. 202-05-03 Supplement Number 1 to Operating Plan of Mirnat Potomac River, LLC in Compliance with Order No. 202-05-03 Docket No. EO-05-01: Pursuant to Section 202(c) of the Federal Power Act, 16 USC §824a(c), Section 301 (b) of the Department of Energy Organization Act, 42 USC §7151 (b), and Order No. 202-05-3, issued by the Department of Energy

  9. Supplement Number 5 to the Operating Plan of Mirant Potomac River, LLC in

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

    Compliance with Order No. 202-05-03 | Department of Energy 5 to the Operating Plan of Mirant Potomac River, LLC in Compliance with Order No. 202-05-03 Supplement Number 5 to the Operating Plan of Mirant Potomac River, LLC in Compliance with Order No. 202-05-03 Docket No. EO-05-01: Pursuant to Section 202(c) of the Federal Power Act, 16 USC §824a(c), Section 301(b) of the Department of Energy Organization Act, 42 USC §7151(b), and Order No. 202-05-3, issued by the Department of Energy

  10. Property:NumberOfLEDSTools | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

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

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

    OpenEI (Open Energy Information) [EERE & EIA]

    Number of Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of...

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

    OpenEI (Open Energy Information) [EERE & EIA]

    Color Cameras Jump to: navigation, search Property Name Number of Color Cameras Property Type Number Pages using the property "Number of Color Cameras" Showing 25 pages using this...

  13. LLW Notes supplement, Volume 12, Number 6

    SciTech Connect

    1997-07-01

    Contents include articles related to environmental justice concerns and Title VI, entitled as follows: Civil Rights Act of 1964; Exec order on environmental justice; Applicability to states; Philosophical differences -- Environmental justice and Title VI; Ambiguities in existing Title VI guidance; Clarification of existing Title VI guidance; Federal financial assistance; Administrative complaints vs. lawsuits; Effect and disparate impact; Termination, suspension or refusal to grant federal financial assistance; DOJ guidance defines environmental justice; NEJAC meets, adopts far-reaching resolution re siting; Indigenous Peoples Resolution No. 23; and States meet, support environmental justice concept and express concerns about federal approach and composition of NEJAC.

  14. The New Element Californium (Atomic Number 98)

    DOE R&D Accomplishments

    Seaborg, G. T.; Thompson, S. G.; Street, K. Jr.; Ghiroso, A.

    1950-06-19

    Definite identification has been made of an isotope of the element with atomic number 98 through the irradiation of Cm{sup 242} with about 35-Mev helium ions in the Berkeley Crocker Laboratory 60-inch cyclotron. The isotope which has been identified has an observed half-life of about 45 minutes and is thought to have the mass number 244. The observed mode of decay of 98{sup 244} is through the emission of alpha-particles, with energy of about 7.1 Mev, which agrees with predictions. Other considerations involving the systematics of radioactivity in this region indicate that it should also be unstable toward decay by electron capture. The chemical separation and identification of the new element was accomplished through the use of ion exchange adsorption methods employing the resin Dowex-50. The element 98 isotope appears in the eka-dysprosium position on elution curves containing berkelium and curium as reference points--that is, it precedes berkelium and curium off the column in like manner that dysprosium precedes terbium and gadolinium. The experiments so far have revealed only the tripositive oxidation state of eka-dysprosium character and suggest either that higher oxidation states are not stable in aqueous solutions or that the rates of oxidation are slow. The successful identification of so small an amount of an isotope of element 98 was possible only through having made accurate predictions of the chemical and radioactive properties.

  15. Order, chaos and nuclear dynamics: An introduction

    SciTech Connect

    Swiatecki, W.J.

    1990-08-01

    This is an introductory lecture illustrating by simple examples the anticipated effect on collective nuclear dynamics of a transition from order to chaos in the motions of nucleons inside an idealized nucleus. The destruction of order is paralleled by a transition from a rubber-like to a honey-like behaviour of the independent-particle nuclear model. 10 refs., 6 figs.

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

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Tennessee Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 700 1990's 690 650 600 505 460 420 2000's 380 350 400 430 280 400 330 305 285 310 2010's 230 1,027 1,027 1,089 NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  17. South Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) South Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 53 1990's 54 54 38 47 55 56 61 60 59 60 2000's 71 68 69 61 61 69 69 71 71 89 2010's 102 155 159 133 128 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  18. Maryland Natural Gas Number of Gas and Gas Condensate Wells (Number of

    Energy Information Administration (EIA) (indexed site)

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

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

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Missouri Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 4 1990's 8 6 5 8 12 15 24 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 19 15 7 6 NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring

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

    Energy Information Administration (EIA) (indexed site)

    Elements) Gas and Gas Condensate Wells (Number of Elements) Nebraska Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 15 1990's 11 12 22 59 87 87 88 91 95 96 2000's 98 96 106 109 111 114 114 186 322 285 2010's 276 307 299 246 109 140 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next