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1

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

2

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

3

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

4

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

5

Energy Research Information System. Volume 1, Number 4. cumulative indexes (project nos. 00000001 through 00000539). Quarterly report  

SciTech Connect

This cumulative index includes a state location index, an organization index and a subject keyword index incorporating the indexes from Energy Research Information System (ERIS), Volume 1, Numbers 1, 2, and 3. This issue, plus the first three ERIS reports, comprise a set of 539 research project references for the states of the Old West Region -- Montana, Nebraska, North Dakota, South Dakota and Wyoming.

Givens, B.M.; Boyd, C.A.

1976-08-01T23:59:59.000Z

6

Energy Research Information System. Projects report. Volume 2, Number 4. Cumulative Indexes (Project Nos. 00000540 through 00001080)  

SciTech Connect

The Cumulative Indexes include a state-location index, a personal name index, an organization index and a subject keyword index incorporating the indexes from ERIS Volume 2, Nos. 1, 2, and 3. This issue, plus the entire contents of Volume 1 and Volume 2, comprise a set of 1080 research project references for the states of the Old West region - Montana, Nebraska, North Dakota, South Dakota and Nebraska.

Boyd, C.A.; Schillinger, L.A.

1977-12-01T23:59:59.000Z

7

The Influence of Variations in Surface Treatment on 24-Hour Forecasts with a Limited Area Model, Including a Comparison of Modeled and Satellite-Measured Surface Temperatures  

Science Conference Proceedings (OSTI)

The effect of variations in surface parameters on 24-hour limited area forecasts has been examined on a day in July 1981. The vehicle for the study is a ten-level primitive equation model covering most of the continental United States. Variations ...

George Diak; Stacey Heikkinen; John Rates

1986-01-01T23:59:59.000Z

8

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

9

Comparison of Average Heart Rates Determined by Surface ECG and 24-Hour Ambulatory ECG (Holter) in Dogs with Spontaneous Atrial Fibrillation  

E-Print Network (OSTI)

The purpose of this study was to compare the heart rates of dogs presenting with spontaneous atrial fibrillation (AF) by a surface electrocardiogram (ECG) and a 24 hour ambulatory ECG (Holter recording) in order to determine if there was a difference between these two diagnostic tests. Seven dogs with clinically stable, spontaneous AF were evaluated with a 6 lead surface ECG (MAC 5000, GE® Milwaukee) and a Holter monitor (Monitor device: LifecardCE Delmar Reynolds Medical, Holter analysis:Aria Holter software). Statistical analyses, including t-tests and linear regression models, were performed using Stata® data-analysis and statistical software. When heart rates (bpm) determined by both diagnostic testing methods were compared individually and among all of the dogs, no statistically significant differences were found. Complete data for analysis were available in 4 of the 7 dogs. This study demonstrates that despite the potential superiority of Holter monitoring relative to the surface ECG for the diagnosis of cardiac arrhythmias, average heart rates were not statistically different in these 4 dogs with controlled AF. Therefore, the average HR determined by surface ECG in the hospital may be as reliable as the average HR determined by Holter monitoring in dogs with well controlled spontaneous AF.

Perea Lugo, Adriana

2010-12-01T23:59:59.000Z

10

Primer on Cumulative Impacts  

Science Conference Proceedings (OSTI)

Cumulative impacts have become one of the most important aspects of environmental analysis and reporting in terms of transmission siting. This primer provides EPRI members with background information and fundamental understanding of the analysis process. The primer reviews the legal and regulatory framework, briefly examines case law that has helped to define both the cumulative impacts concept and subsequent analysis, and provides a structure for conducting or reviewing cumulative impacts analyses.

2009-12-15T23:59:59.000Z

11

RESEARCH and RELATED BUDGET - Cumulative Budget  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cumulative Budget Cumulative Budget 0 Totals ($) Section A, Senior/Key Person - $ Section B, Other Personnel - $ Total Number Other Personnel 0 Total Salary, Wages and Fringe Benefits (A+B) - $ Section C, Equipment - $ Section D, Travel - $ 1. Domestic - $ 2. Foreign - $ Section E, Participant/Trainee Support Costs - $ 1. Tuition/Fees/Health Insurance - $ 2. Stipends - $ 3. Travel - $ 4. Subsistence - $ 5. Other - $ 6. Number of Participants/Trainees 0 Section F, Other Direct Costs - $ 1. Materials and Supplies

12

Number  

Office of Legacy Management (LM)

' ' , /v-i 2 -i 3 -A, This dow'at consists ~f--~-_,_~~~p.~,::, Number -------of.-&--copies, 1 Series.,-a-,-. ! 1 THE UNIVERSITY OF ROCHESTER 1; r-.' L INTRAMURALCORRESPONDENCE i"ks' 3 2.. September 25, 1947 Memo.tor Dr. A. H, Dovdy . From: Dr. H. E, Stokinger Be: Trip Report - Mayvood Chemical Works A trip vas made Nednesday, August 24th vith Messrs. Robert W ilson and George Sprague to the Mayvood Chemical F!orks, Mayvood, New Jersey one of 2 plants in the U.S.A. engaged in the production of thorium compounds. The purpose of the trip vas to: l 1. Learn the type of chemical processes employed in the thorium industry (thorium nitrate). 2. Survey conditions of eeosure of personnel associated vith these chemical processes. 3. Obtain samples of atmospheric contaminants in the plant, as

13

Cumulative Impacts | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cumulative Impacts Cumulative Impacts Cumulative Impacts Selected documents on the topic of Cumulative Impacts and NEPA. June 24, 2005 Guidance on the Consideration of Past Actions in Cumulative Effects Analysis In this Memorandum, the Council on Environmental Quality provides guidance on the extent to which agencies of the Federal government are required to analyze the environmental effects of past actions when they describe the cumulative environmental effect of a proposed action. May 1, 1999 Consideration Of Cumulative Impacts In EPA Review of NEPA Documents The purpose of this guidance is to assist EPA reviewers of NEPA documents in providing accurate, realistic, and consistent comments on the assessment of cumulative impacts. The guidance focuses on specific issues that are

14

Cumulative Crude Production Additions (Annual)  

U.S. Energy Information Administration (EIA)

This graph shows the cumulative growth of the Atlantic Basin light sweet crude oil production relative to the growth in crude oil production from the rest of the ...

15

Report - Considering Cumulative Effects Under NEPA  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Considering Considering Cumulative Effects Under the National Environmental Policy Act Council on Environmental Quality January 1997 TABLE OF CONTENTS EXECUTIVE SUMMARY I INTRODUCTION TO CUMULATIVE EFFECTS ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Purpose of Cumulative Effect sAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Agency Experience with Cumulative Effects Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Principles of Cumulative Effects Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 How Environmental EffectsAccumulate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Roadmap tothe Handbook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2 SCOPING FOR CUMULATIVE EFFECTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Identifying Cumulative Effects Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Bounding Cumulative Effects Analysis . . . . . . . . . .

16

Lessons Learned Quarterly Report Cumulative Index | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

& Requirements Lessons Learned Lessons Learned Quarterly Report Cumulative Index Lessons Learned Quarterly Report Cumulative Index Guidance Requirements Lessons...

17

Convergence Characteristics of the Cumulant Expansion for Fourier Path Integrals  

E-Print Network (OSTI)

The cumulant representation of the Fourier path integral method is examined to determine the asymptotic convergence characteristics of the imaginary-time density matrix with respect to the number of path variables $N$ included. It is proved that when the cumulant expansion is truncated at order $p$, the asymptotic convergence rate of the density matrix behaves like $N^{-(2p+1)}$. The complex algebra associated with the proof is simplified by introducing a diagrammatic representation of the contributing terms along with an associated linked-cluster theorem. The cumulant terms at each order are expanded in a series such that the the asymptotic convergence rate is maintained without the need to calculate the full cumulant at order $p$. Using this truncated expansion of each cumulant at order $p$, the numerical cost in developing Fourier path integral expressions having convergence order $N^{-(2p+1)}$ is shown to be approximately linear in the number of required potential energy evaluations making the method promising for actual numerical implementation.

Sharif D. Kunikeev; David L. Freeman; J. D. Doll

2010-06-08T23:59:59.000Z

18

Considering Cumulative Effects Under the National Environmental...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Act Considering Cumulative Effects Under the National Environmental Policy Act This handbook presents the results of research and consultations by the Council on Environmental...

19

Gait identification using cumulants of accelerometer data  

Science Conference Proceedings (OSTI)

This paper describes gait identification using cumulants of accelerometer data. Accelerometer data of three different walking speeds for each subject (normal, slow and fast) was acquired by a cell phone placed on the person's hip. Data analysis was based ... Keywords: accelerometer, body sensor, cumulants, gait identification, gait recognition, high-order statistics, pattern recognition

Sebastijan Sprager; Damjan Zazula

2009-11-01T23:59:59.000Z

20

Cumulative Federal Payments to OE Recovery Act Recipients, through...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

August 31, 2013 Cumulative Federal Payments to OE Recovery Act Recipients, through August 31, 2013 Graph of cumulative Federal Payments to OE Recovery Act Recipients, through...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

EPA: Consideration of Cumulative Impacts in EPA Review of NEPA...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

how cumulative impacts are assessed in environmental impact analysis, CEQ developed a handbook entitled "Considering Cumulative Effects under the National Environmental Policy Act"...

22

Cumulative mass approach for column testing  

Science Conference Proceedings (OSTI)

A cumulative mass approach for laboratory column testing using an analytical solution for miscible transport through soil is presented. The cumulative mass approach differs from the more traditional approach for column testing in that the analysis of the measured data is in terms of mass of solute instead of solute concentration. The potential advantages of the cumulative mass approach are: (1) The influence of increment in effluent sample volume on the measured concentrations is removed from consideration; (2) the effluent sampling procedure is less labor-intensive, and therefore potentially more cost-effective; and (3) the retardation factor and effective porosity can be evaluated directly from plots of the test results. A comparison of analyses of measured data based on the cumulative mass approach with the more traditional concentration-based approach indicates slight differences (less than 3%) in the regressed values of the dispersion coefficient and retardation factor. These differences are attributed to greater scatter in the data for the more traditional approach and to slight errors involved in the traditional approach due to plotting the average, incremental concentrations at the pore volumes of flow corresponding to the middle of the sampling interval.

Shackelford, C.D. [Colorado State Univ., Fort Collins, CO (United States)] [Colorado State Univ., Fort Collins, CO (United States)

1995-10-01T23:59:59.000Z

23

Considering Cumulative Effects Under the National Environmental Policy Act  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Considering Cumulative Effects Under the National Environmental Considering Cumulative Effects Under the National Environmental Policy Act Considering Cumulative Effects Under the National Environmental Policy Act This handbook presents the results of research and consultations by the Council on Environmental Quality concerning the consideration of cumulative effects in analyses prepared under the National Environmental Policy Act (NEPA). It introduces the NEPA practitioner and other interested parties to the complex issue of cumulative effects, outlines general principles, presents useful steps, and provides information on methods of cumulative effects analysis and data sources. Considering Cumulative Effects Under the National Environmental Policy Act More Documents & Publications EIS-0333: Draft Environmental Impact Statement

24

Crossover of aging dynamics in polymer glass: from cumulative aging to non-cumulative aging  

E-Print Network (OSTI)

The aging behavior of polymer glass, poly(methyl methacrylate), has been investigated through the measurement of ac dielectric susceptibility ata fixed frequency after a temperature shift $\\Delta T$ ($\\le $ 20 K)between two temperatures, $T_1$ and $T_2$. A crossover from cumulative aging to non-cumulative aging could be observed with increasing $\\Delta T$ using a twin temperature ($T$-) shift measurement. Based on a growth law of a dynamical coherent length given by activated dynamics, we obtained a unique coherent length for positive and negative $T$-shifts. The possibility of the existence of temperature chaos in polymer glasses is discussed.

Koji Fukao; Sinpei Yamawaki

2008-01-05T23:59:59.000Z

25

Figure 65. Cumulative growth in value of shipments from energy ...  

U.S. Energy Information Administration (EIA)

Cumulative growth in value of shipments from energy-intensive industries in three cases, 2011-2040 ... Iron and steel Bulk Chemicals Glass Paper products Food products

26

Figure 67. Cumulative growth in value of shipments from energy ...  

U.S. Energy Information Administration (EIA)

Cumulative growth in value of shipments from energy-intensive industries, 2011-2040, 2011-2025, and 2025 ... Iron and steel Bulk chemicals Glass Paper products Food ...

27

Number of Interactions Involved in Software Failures ...  

Science Conference Proceedings (OSTI)

... Table 2. Number of variables in avionics software branches. Vars, Count, Pct, Cumulative. 1, 5691, 74.1%, 74.1%. 2, 1509, 19.6%, 93.7%. ...

28

Standardization of the cumulative absolute velocity  

SciTech Connect

EPRI NP-5930, A Criterion for Determining Exceedance of the Operating Basis Earthquake,'' was published in July 1988. As defined in that report, the Operating Basis Earthquake (OBE) is exceeded when both a response spectrum parameter and a second damage parameter, referred to as the Cumulative Absolute Velocity (CAV), are exceeded. In the review process of the above report, it was noted that the calculation of CAV could be confounded by time history records of long duration containing low (nondamaging) acceleration. Therefore, it is necessary to standardize the method of calculating CAV to account for record length. This standardized methodology allows consistent comparisons between future CAV calculations and the adjusted CAV threshold value based upon applying the standardized methodology to the data set presented in EPRI NP-5930. The recommended method to standardize the CAV calculation is to window its calculation on a second-by-second basis for a given time history. If the absolute acceleration exceeds 0.025g at any time during each one second interval, the earthquake records used in EPRI NP-5930 have been reanalyzed and the adjusted threshold of damage for CAV was found to be 0.16g-set.

O'Hara, T.F.; Jacobson, J.P. (Yankee Atomic Electric Co., Bolton, MA (United States))

1991-12-01T23:59:59.000Z

29

Consideration Of Cumulative Impacts In EPA Review of NEPA Documents |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Consideration Of Cumulative Impacts In EPA Review of NEPA Documents Consideration Of Cumulative Impacts In EPA Review of NEPA Documents Consideration Of Cumulative Impacts In EPA Review of NEPA Documents The purpose of this guidance is to assist EPA reviewers of NEPA documents in providing accurate, realistic, and consistent comments on the assessment of cumulative impacts. The guidance focuses on specific issues that are critical in EPA's review of NEPA documents under Section 309 of the Clean Air Act. The guidance offers information on what issues to look for in the analysis, what practical considerations should be kept in mind when reviewing the analysis, and what should be said in EPA comments concerning the adequacy of the analysis. Consideration Of Cumulative Impacts In EPA Review of NEPA Documents More Documents & Publications

30

EA-1758: Supplement to the Cumulative Impact Analysis | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

EA-1758: Supplement to the Cumulative Impact Analysis EA-1758: Supplement to the Cumulative Impact Analysis EA-1758: Supplement to the Cumulative Impact Analysis Drilling, Testing, and Monitoring of up to 12 Temperature Gradient/Passive Seismic Geothermal Exploratory Wells Deschutes County, Oregon This document presents information supplemental to the Environmental Assessment (EA), Drilling, Testing, and Monitoring of up to 12 Temperature Gradient/Passive Seismic Geothermal Exploratory Wells Deschutes County, Oregon (DOE/EA-1758) prepared by the Bureau of Land Management (BLM). This document addresses potential impacts associated with other proposed future geothermal projects in the area of the Newberry National Volcanic Monument that may be cumulative with those described in the EA. Supplement to the Cumulative Impact Analysis of Drilling, Testing, and

31

EA-1758: Supplement to the Cumulative Impact Analysis | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

: Supplement to the Cumulative Impact Analysis : Supplement to the Cumulative Impact Analysis EA-1758: Supplement to the Cumulative Impact Analysis Drilling, Testing, and Monitoring of up to 12 Temperature Gradient/Passive Seismic Geothermal Exploratory Wells Deschutes County, Oregon This document presents information supplemental to the Environmental Assessment (EA), Drilling, Testing, and Monitoring of up to 12 Temperature Gradient/Passive Seismic Geothermal Exploratory Wells Deschutes County, Oregon (DOE/EA-1758) prepared by the Bureau of Land Management (BLM). This document addresses potential impacts associated with other proposed future geothermal projects in the area of the Newberry National Volcanic Monument that may be cumulative with those described in the EA. Supplement to the Cumulative Impact Analysis of Drilling, Testing, and

32

Cumulative impact assessments and bird/wind farm interactions: Developing a conceptual framework  

Science Conference Proceedings (OSTI)

The wind power industry has grown rapidly in the UK to meet EU targets of sourcing 20% of energy from renewable sources by 2020. Although wind power is a renewable energy source, there are environmental concerns over increasing numbers of wind farm proposals and associated cumulative impacts. Individually, a wind farm, or indeed any action, may have minor effects on the environment, but collectively these may be significant, potentially greater than the sum of the individual parts acting alone. EU and UK legislation requires a cumulative impact assessment (CIA) as part of Environmental Impact Assessments (EIA). However, in the absence of detailed guidance and definitions, such assessments within EIA are rarely adequate, restricting the acquisition of basic knowledge about the cumulative impacts of wind farms on bird populations. Here we propose a conceptual framework to promote transparency in CIA through the explicit definition of impacts, actions and scales within an assessment. Our framework requires improved legislative guidance on the actions to include in assessments, and advice on the appropriate baselines against which to assess impacts. Cumulative impacts are currently considered on restricted scales (spatial and temporal) relating to individual development EIAs. We propose that benefits would be gained from elevating CIA to a strategic level, as a component of spatially explicit planning.

Masden, Elizabeth A., E-mail: e.masden.1@research.gla.ac.u [Department of Ecology and Evolutionary Biology, University of Glasgow, Glasgow, G12 8QQ (United Kingdom) and Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, G12 8QQ (United Kingdom); Fox, Anthony D., E-mail: tfo@dmu.d [Department of Wildlife Ecology and Biodiversity, National Environmental Research Institute, University of Aarhus, Kalo, Grenavej 14, 8410 Ronde (Denmark); Furness, Robert W., E-mail: r.furness@bio.gla.ac.u [Department of Ecology and Evolutionary Biology, University of Glasgow, Glasgow, G12 8QQ (United Kingdom); Bullman, Rhys, E-mail: rhys.bullman@rpsgroup.co [Scottish Natural Heritage, The Beta Centre, Innovation Park, University of Stirling, Stirling FK9 4NF (United Kingdom); Haydon, Daniel T., E-mail: d.haydon@bio.gla.ac.u [Department of Ecology and Evolutionary Biology, University of Glasgow, Glasgow, G12 8QQ (United Kingdom); Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, G12 8QQ (United Kingdom)

2010-01-15T23:59:59.000Z

33

Session: What do we know about cumulative or population impacts  

DOE Green Energy (OSTI)

This session at the Wind Energy and Birds/Bats workshop consisted of a panel discussion followed by a discussion/question and answer period. The panelists were Paul Kerlinger, Curry and Kerlinger, LLC, Al Manville, U.S. Fish and Wildlife Service, and Bill Kendall, US Geological Service. The panel addressed the potential cumulative impacts of wind turbines on bird and bat populations over time. Panel members gave brief presentations that touched on what is currently known, what laws apply, and the usefulness of population modeling. Topics addressed included which sources of modeling should be included in cumulative impacts, comparison of impacts from different modes of energy generation, as well as what research is still needed regarding cumulative impacts of wind energy development on bird and bat populations.

Kerlinger, Paul; Manville, Al; Kendall, Bill

2004-09-01T23:59:59.000Z

34

Double Cumulative and Lorenz Curves in Weather Modification  

Science Conference Proceedings (OSTI)

A graphical presentation of precipitation data has been used for some years in which the cumulative percentage of the total mass falling on various days of a sample of precipitation days, ordered from the largest to the smallest mass, is plotted ...

Edwin L. Crow

1982-08-01T23:59:59.000Z

35

A cumulative belief-degree approach for nuclear safeguards evaluation  

Science Conference Proceedings (OSTI)

Nuclear safeguards are a set of activities to verify that a State is living up to its international undertakings not to use nuclear programs for nuclear weapons purposes. International Atomic Energy Agency (IAEA) uses a hierarchical assessment system ... Keywords: cumulative belif degree, decision making, fuzzy linguistic terms, nuclear safeguards

Özgür Kabak; Da Ruan

2009-10-01T23:59:59.000Z

36

Public service impacts of geothermal development: cumulative impacts study of the Geysers KGRA. Final staff report  

DOE Green Energy (OSTI)

The number of workers currently involved in the various aspects of geothermal development in the Geysers are identified. Using two different development scenarios, projections are made for the number of power plants needed to reach the electrical generation capacity of the steam resource in the Geysers. The report also projects the cumulative number of workers needed to develop the steam field and to construct, operate, and maintain these power plants. Although the number of construction workers fluctuates, most are not likely to become new, permanent residents of the KGRA counties. The administrative and public service costs of geothermal development to local jurisdications are examined, and these costs are compared to geothermal revenues accruing to the local governments. Revenues do not cover the immediate fiscal needs resulting from increases in local road maintenance and school enrollment attributable to geothermal development. Several mitigation options are discussed and a framework presented for calculating mitigation costs for school and road impacts.

Matthews, K.M.

1983-07-01T23:59:59.000Z

37

Australian Nuclear Science & Technology Organization (ANSTO) Interdicted Samples 24-Hour Report  

Science Conference Proceedings (OSTI)

Categorization is complete. Samples 11-3-1 (NSR-F-270409-01) and 11-3-2 (NSR-F-270409-02) are depleted uranium powders of moderate purity ({approx}65-80 % U). The uranium feed stocks for 11-3-1 and 11-3-2 have both experienced a neutron flux (as demonstrated by the presence of {sup 232}U). Sample 11-3-3 is indistinguishable from a natural uranium ore concentrate of moderate purity ({approx}70-80% U). Two anomalous objects (11-3-1-4 and 11-3-2-5) were found in the material during aliquoting. These objects might be valuable for route attribution.

Kristo, M J; Hutcheon, I D; Grant, P M; Borg, L E; Sharp, M A; Moody, K J; Conrado, C L; Wooddy, P T

2011-01-27T23:59:59.000Z

38

Help when you need it: 24 hours a day! That's Online Tutoring: Anywhere, Anytime  

E-Print Network (OSTI)

.smarthinking.com Troubleshooting Tips: Make sure that your browser is set up to allow cookies and pop-up windows. SMARTHINKING

District of Columbia, University of the

39

Leveraging temporal and spatial separations with the 24-hour knowledge factory paradigm  

Science Conference Proceedings (OSTI)

The 24-H Knowledge Factory facilitates collaboration between geographically and temporally distributed teams. The teams themselves form a strategic partnership whose joint efforts contribute to the completion of a project. Project-related tasks are likewise ... Keywords: Data management, Global software development, Knowledge representation, Offshoring

Amar Gupta; Igor Crk; Rajdeep Bondade

2011-07-01T23:59:59.000Z

40

Here is your MEDEX Identification Card WORLDWIDE 24-HOURS A DAY  

E-Print Network (OSTI)

of Medical Records Continuous Updates to Family, Employer and Home Physician Hotel Arrangements 1977, MEDEX has been assisting travelers worldwide by utilizing highly trained, multilingual

Quigg, Chris

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

24 Hour Day-Ahead Reactive Power Forecasting and Optimal Scheduling  

Science Conference Proceedings (OSTI)

Reactive power management affects not only the system voltage profiles but also system efficiencies. Changes in the flow of reactive power have an influence on system losses. Reactive power forecasting and optimal scheduling of power system control elements can be conducted to efficiently and reliably transfer power across the system. The tool discussed in this report optimizes the power system to produce a security-constrained case, reduce losses, increase reactive reserve, and securely maintain ...

2013-12-29T23:59:59.000Z

42

Linear Regime Duration: Is 24 Hours a Long Time in Synoptic Weather Forecasting?  

Science Conference Proceedings (OSTI)

Day-to-day variations in the growth of uncertainty in the current state of the atmosphere have led to operational ensemble weather predictions in which an ensemble of different initial conditions, each perturbed from the best estimate of the ...

Isla Gilmour; Leonard A. Smith; Roberto Buizza

2001-11-01T23:59:59.000Z

43

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Lower Columbia River and Estuary, 2008  

Science Conference Proceedings (OSTI)

Draft annual report for the Cumulative Effects Study for the US Army Corps of Engineers, Portland District

Johnson, Gary E.; Diefenderfer, Heida L.; Borde, Amy B.; Dawley, Earl M.; Ebberts, Blaine D.; Roegner, G. Curtis; Russell, Micah T.; Skalski, John R.; Thom, Ronald M.; Vavrinec, John; Zimmerman, Shon A.

2009-12-17T23:59:59.000Z

44

Neutron source capability assessment for cumulative fission yields measurements  

Science Conference Proceedings (OSTI)

A recent analysis of high-quality cumulative fission yields data for Pu-239 published in the peer-reviewed literature showed that the quoted experimental uncertainties do not allow a clear statement on how the fission yields vary as a function of energy. [Prussin2009] To make such a statement requires a set of experiments with well 'controlled' and understood sources of experimental errors to reduce uncertainties as low as possible, ideally in the 1 to 2% range. The Inter Laboratory Working Group (ILWOG) determined that Directed Stockpile Work (DSW) would benefit from an experimental program with the stated goal to reduce the measurement uncertainties significantly in order to make a definitive statement of the relationship of energy dependence to the cumulative fission yields. Following recent discussions between Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL), there is a renewed interest in developing a concerted experimental program to measure fission yields in a neutron energy range from thermal energy (0.025 eV) to 14 MeV with an emphasis on discrete energies from 0.5 to 4 MeV. Ideally, fission yields would be measured at single energies, however, in practice there are only 'quasi-monoenergetic' neutrons sources of finite width. This report outlines a capability assessment as of June 2011 of available neutron sources that could be used as part of a concerted experimental program to measure cumulative fission yields. In a framework of international collaborations, capabilities available in the United States, at the Atomic Weapons Establishment (AWE) in the United Kingdom and at the Commissariat Energie Atomique (CEA) in France are listed. There is a need to develop an experimental program that will reduce the measurement uncertainties significantly in order to make a definitive statement of the relationship of energy dependence to the cumulative fission yields. Fission and monoenergetic neutron sources are available that could support these fission yield experiments in the US, as well as at AWE and CEA. Considerations that will impact the final choice of experimental venues are: (1) Availability during the timeframe of interest; (2) Ability to accommodate special nuclear materials; (3) Cost; (4) Availability of counting facilities; and (5) Expected experimental uncertainties.

Descalle, M A; Dekin, W; Kenneally, J

2011-04-06T23:59:59.000Z

45

A SAS-macro for estimation of the cumulative incidence using Poisson regression  

Science Conference Proceedings (OSTI)

In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative ... Keywords: Competing risks, Cox regression, Cumulative incidence, Hazard rate, Poisson regression, Survival analysis

Berit Lindum Waltoft

2009-02-01T23:59:59.000Z

46

Calculation of the cumulative reaction probability via a discrete variable representation with absorbing boundary conditions  

SciTech Connect

A new method is suggested for the calculation of the microcanonical cumulative reaction probability {ital via} flux autocorrelation relations. The Hamiltonian and the flux operators are computed in a discrete variable representation (DVR) and a well-behaved representation for the Green's operator, {ital G}({ital E}{sup +}), is obtained by imposing absorbing boundary conditions (ABC). Applications to a one-dimensional-model problem and to the collinear H+H{sub 2} reaction show that the DVR-ABC scheme provides a very efficient method for the {ital direct} calculation of the microcanonical probability, circumventing the need to compute the state-to-state dynamics. Our results indicate that the cumulative reaction probability can be calculated to a high accuracy using a rather small number of DVR points, confined to the vicinity of the transition state. Only limited information regarding the potential-energy surface is therefore required, suggesting that this method would be applicable also to higher dimensionality problems, for which the complete potential surface is often unknown.

Seideman, T.; Miller, W.H. (Department of Chemistry, University of California, Berkeley, California 94720 (United States))

1992-03-15T23:59:59.000Z

47

Assessing the cumulative effects of projects using geographic information systems  

SciTech Connect

Systems that allow users to store and retrieve spatial data, provide for analyses of spatial data, and offer highly detailed display of spatial data are referred to as geographic information systems, or more typically, GIS. Since their initial usage in the 1960s, GISs have evolved as a means of assembling and analyzing diverse data pertaining to specific geographical areas, with spatial locations of the data serving as the organizational basis for the information systems. The structure of GISs is built around spatial identifiers and the methods used to encode data for storage and manipulation. This paper examines how GIS has been used in typical environmental assessment, its use for cumulative impact assessment, and explores litigation that occurred in the United States Federal court system where GIS was used in some aspect of cumulative effects. The paper also summarizes fifteen case studies that range from area wide transportation planning to wildlife and habitat impacts, and draws together a few lessons learned from this review of literature and litigation.

Atkinson, Samuel F., E-mail: atkinson@unt.edu [Institute of Applied Science, University of North Texas, 1155 Union Circle 310559, Denton, TX 76203 (United States); Canter, Larry W., E-mail: envimptr@aol.com [Environmental Impact Training, P.O. Box 9143, Horseshoe Bay, TX 78657 (United States)

2011-09-15T23:59:59.000Z

48

Consideration of Cumulative Impacts in EPA Review of NEPA Documents, EPA  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Consideration of Cumulative Impacts in EPA Review of NEPA Consideration of Cumulative Impacts in EPA Review of NEPA Documents, EPA Office of Federal Activities Consideration of Cumulative Impacts in EPA Review of NEPA Documents, EPA Office of Federal Activities The purpose of this guidance is to assist EPA reviewers of NEPA documents in providing accurate, realistic, and consistent comments on the assessment of cumulative impacts. The guidance focuses on specific issues that are critical in EPA's review of NEPA documents under Section 309 of the Clean Air Act. G-EPA-cumulative_impacts.pdf More Documents & Publications Consideration Of Cumulative Impacts In EPA Review of NEPA Documents Considering Cumulative Effects Under the National Environmental Policy Act DRAFT NEPA Guidance on Consideration of the Effects of Climate Change and

49

Microsoft Word - SGIG FAQ SIPRIS Jobs cumulative 11222010 1300.docx  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November 2010 1 Reporting of Jobs Created/Retained in SIPRIS November 2010 1 Reporting of Jobs Created/Retained in SIPRIS Reporting of Jobs Created/Retained in SIPRIS This FAQ compliments the DOE SGIG Reporting Guidance (Section 4) available at the following URL: http://www.oe.energy.gov/DocumentsandMedia/SGIG_DOE_REPORTING_GUIDANCE_OCT_2010.pdf For more information regarding SIPRIS reporting, please contact the SIPRIS Help Desk at 1-202-251- 4181 or siprishelpdesk@hq.doe.gov. For information regarding federalreporting.gov, please contact the DOE Recovery Act Clearinghouse at 1-888-363-7289 or http://www.energy.gov/recovery/ARRA_Reporting_Requirements.htm. Question: I will be reporting jobs data into SIPRIS for the first time in the next quarterly cycle. Do I report cumulative jobs created/retained or just jobs created/retained during the quarter?

50

Cumulative impacts study of The Geysers KGRA: public-service impacts of geothermal development  

DOE Green Energy (OSTI)

Geothermal development in The Geysers KGRA has affected local public services and fiscal resources in Sonoma, Lake, Mendocino, and Napa counties. Each of these counties underwent rapid population growth between 1970 and 1980, some of which can be attributed to geothermal development. The number of workers currently involved in the various aspects of geothermal development in The Geysers is identified. Using three different development scenarios, projections are made for the number of power plants needed to reach the electrical generation capacity of the steam resource in The Geysers. The report also projects the cumulative number of workers needed to develop the steam field and to construct, operate, and maintain these power plants. Although the number of construction workers fluctuates, most are not likely to become new, permanent residents of the KGRA counties. The administrative and public service costs of geothermal development to local jurisdictions are examined and compared to geothermal revenues accruing to the local governments. Revenues do not cover the immediate fiscal needs resulting from increases in local road maintenance and school enrollment attributable to geothermal development. Several mitigation options are discussed, and a framework is presented for calculating mitigation costs per unit of public service.

Matthews, K.M.

1982-05-01T23:59:59.000Z

51

Cumulative analysis of the association between the gravitational wave detectors NAUTILUS and EXPLORER and the gamma-ray bursts detected by BATSE and BeppoSAX  

E-Print Network (OSTI)

The statistical association between the output of the Gravitational Wave (GW) detectors EXPLORER and NAUTILUS and a list of Gamma Ray Bursts (GRBs) detected by the satellite experiments BATSE and BeppoSAX has been analyzed using cumulative algorithms. GW detector data collected between 1991 and 1999 have been correlated to the GRB flux peak times. The cumulative analysis of a large number of GRBs (387) allows to push the upper bound for the corresponding GW burst amplitude down to $h = 2.5\\cdot10^{-19}$.

P. Astone; D. Babusci; M. Bassan; P. Carelli; E. Coccia; C. Cosmelli; S. D'Antonio; V. Fafone; F. Frontera; G. Giordano; C. Guidorzi; A. Marini; Y. Minenkov; I. Modena; G. Modestino; A. Moleti; E. Montanari; G. V. Pallottino; G. Pizzella; L. Quintieri; A. Rocchi; F. Ronga; L. Sperandio; R. Terenzi; G. Torrioli; M. Visco

2004-08-30T23:59:59.000Z

52

JOB NUMBER  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

. . . . . . . . . .: LEAVE BLANK (NARA use only) JOB NUMBER N/-&*W- 9d - 3 DATE RECEIVED " -1s - 9 J - NOTIFICATION TOAGENCY , In accordance with the provisions of 44 U.S.C. 3303a the disposition request. including amendments, is ap roved except , . l for items that may be marke,, ,"dis osition not approved" or "withdrawn in c o i m n 10. 4. NAME OF PERSON WITH WHOM TO CONFER 5 TELEPHONE Jannie Kindred (202) 5&-333 5 - 2 -96 6 AGENCYCERTIFICATION -. ~ - I hereby certify that I am authorized to act for this agency in matters pertaining to the disposition of its records and that the records roposed for disposal are not now needed for the business of this agency or wiRnot be needed after t G t r & s s d ; and that written concurrence from

53

KPA Number  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Supports CMM-SW Level 3 Supports CMM-SW Level 3 Mapping of the DOE Information Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM-SW) level 3. Date: September 2002 Page 1 KPA Number KPA Activity SEM Section SEM Work Product SQSE Web site http://cio.doe.gov/sqse ORGANIZATION PROCESS FOCUS OPF-1 The software process is assessed periodically, and action plans are developed to address the assessment findings. Chapter 1 * Organizational Process Management * Process Improvement Action Plan * Methodologies ! DOE Methodologies ! SEM OPF-2 The organization develops and maintains a plan for its software process development and improvement activities. Chapter 1 * Organizational Process Management * Process Improvement

54

Case Number:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Name of Petitioner: Name of Petitioner: Date of Filing: Case Number: Department of Energy Washington, DC 20585 JUL 2 2 2009 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Appeal Dean P. Dennis March 2, 2009 TBA-0072 Dean D. Dennis filed a complaint of retaliation under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Dennis alleged that he engaged in protected activity and that his employer, National Security Technologies, LLC (NSTec ), subsequently terminated him. An Office of Hearings and Appeals (OHA) Hearing Officer denied relief in Dean P. Dennis, Case No. TBH-0072, 1 and Mr. Dennis filed the instant appeal. As discussed below, the appeal is denied. I. Background The DOE established its Contractor Employee Protection Program to "safeguard public

55

May 19, 2011, HSS/Union Focus Group Meeting - HSS Project, Cumulative...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0 HSS total directives: 107 (as of 312010) Safety and Security Directives Reform - Cumulative Progress (June 15, 2011) 90 100 Total - Directives with JMs Approved by DRB Total -...

56

Cumulative biological impacts of The Geysers geothermal development  

DOE Green Energy (OSTI)

The cumulative nature of current and potential future biological impacts from full geothermal development in the steam-dominated portion of The Geysers-Calistoga KGRA are identified by the California Energy Commission staff. Vegetation, wildlife, and aquatic resources information have been reviewed and evaluated. Impacts and their significance are discussed and staff recommendations presented. Development of 3000 MW of electrical energy will result in direct vegetation losses of 2790 acres, based on an estimate of 11.5% loss per lease-hold of 0.93 acres/MW. If unmitigated, losses will be greater. Indirect vegetation losses and damage occur from steam emissions which contain elements (particularly boron) toxic to vegetation. Other potential impacts include chronic low-level boron exposure, acid rain, local climate modification, and mechanical damage. A potential exists for significant reduction and changes in wildlife from direct habitat loss and development influences. Highly erosive soils create the potential for significant reduction of aquatic resources, particularly game fish. Toxic spills have caused some temporary losses of aquatic species. Staff recommends monitoring and implementation of mitigation measures at all geothermal development stages.

Brownell, J.A.

1981-10-01T23:59:59.000Z

57

Status of Cumulative Risk Methods in Air-Based Risk Assessments  

Science Conference Proceedings (OSTI)

Developments in cumulative risk assessment practices and influence on public health and environmental regulation continue to increase. Primary drivers include stakeholder-based concerns over environmental justice, as well as recent initiatives to reevaluate the current regulatory risk assessment paradigm. The United States Environmental Protection Agencyalong with other state agencies, public health advocates, and researcherscontinues to strive toward application of cumulative risk methodologies capable ...

2011-12-21T23:59:59.000Z

58

Equality in cumulative voting: A systematic review with an improvement proposal  

Science Conference Proceedings (OSTI)

Context: Prioritization is an essential part of requirements engineering, software release planning and many other software engineering disciplines. Cumulative Voting (CV) is known as a relatively simple method for prioritizing requirements on a ratio ... Keywords: Compositional data, Cumulative voting, Log-ratio, Prioritization, Requirements engineering

K. Rievi?S; R. Torkar

2013-02-01T23:59:59.000Z

59

EPA: Consideration of Cumulative Impacts in EPA Review of NEPA Documents  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Consideration Of Cumulative Impacts In EPA Review of Consideration Of Cumulative Impacts In EPA Review of NEPA Documents U.S. Environmental Protection Agency, Office of Federal Activities (2252A) EPA 315-R-99-002/May 1999 1. INTRODUCTION The combined, incremental effects of human activity, referred to as cumulative impacts, pose a serious threat to the environment. While they may be insignificant by themselves, cumulative impacts accumulate over time, from one or more sources, and can result in the degradation of important resources. Because federal projects cause or are affected by cumulative impacts, this type of impact must be assessed in documents prepared under the National Environmental Policy Act (NEPA). The purpose of this guidance is to assist EPA reviewers of NEPA documents in providing accurate, realistic, and consistent

60

Nonequilibrium time evolution of higher order cumulants of conserved charges and event-by-event analysis  

E-Print Network (OSTI)

We investigate the time evolution of higher order cumulants of conserved charges in a volume with the diffusion master equation. Applying the result to the diffusion of non-Gaussian fluctuations in the hadronic stage of relativistic heavy ion collisions, we show that the fourth-order cumulant of net-electric charge at LHC energy is suppressed compared with the recently observed second-order cumulant at ALICE, if the higher order cumulants at hadronization are suppressed compared with their values in the hadron phase in equilibrium. The significance of the experimental information on the rapidity window dependence of various cumulants in investigating the history of the dynamical evolution of the hot medium created in relativistic heavy ion collisions is emphasized.

Masakiyo Kitazawa; Masayuki Asakawa; Hirosato Ono

2013-07-11T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Glossary Term - Atomic Number  

NLE Websites -- All DOE Office Websites (Extended Search)

Particle Previous Term (Alpha Particle) Glossary Main Index Next Term (Avogadro's Number) Avogadro's Number Atomic Number Silver's atomic number is 47 The atomic number is equal to...

62

Cumulative biophysical impact of small and large hydropower development, Nu River, China  

E-Print Network (OSTI)

Cumulative biophysical impact of small and large hydropower development, Nu River, China Authors biophysical effects of small (China's Nu River basin, and compare effects The hydropower sector currently comprises eighty percent of global capacity for renewable energy generation

Tullos, Desiree

63

Constraining the Ratio of Global Warming to Cumulative CO2 Emissions Using CMIP5 Simulations  

Science Conference Proceedings (OSTI)

The ratio of warming to cumulative emissions of carbon dioxide has been shown to be approximately independent of time and emissions scenarios and directly relates emissions to temperature. It is therefore a potentially important tool for climate ...

Nathan P. Gillett; Vivek K. Arora; Damon Matthews; Myles R. Allen

2013-09-01T23:59:59.000Z

64

Constraining the ratio of global warming to cumulative CO2 emissions using CMIP5 simulations  

Science Conference Proceedings (OSTI)

The ratio of warming to cumulative emissions of carbon dioxide has been shown to be approximately independent of time and emissions scenario, and directly relates emissions to temperature. It is therefore a potentially important tool for climate ...

Nathan P. Gillett; Vivek K. Arora; Damon Matthews; Myles R. Allen

65

Characterization of Weekly Cumulative Rainfall Forecasts over Meteorological Subdivisions of India Using a GCM  

Science Conference Proceedings (OSTI)

Weekly cumulative rainfall forecasts were made for the meteorologically homogeneous areas of the Indian subcontinent, divided into meteorological subdivisions, by performing 7-day integrations of the operational Indian T80 Global Spectral Model ...

S. A. Saseendran; S. V. Singh; L. S. Rathore; Someshwar Das

2002-08-01T23:59:59.000Z

66

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Columbia River Estuary, Annual Report 2007  

Science Conference Proceedings (OSTI)

The goal of this multi-year study (2004-2010) is to develop a methodology to evaluate the cumulative effects of multiple habitat restoration projects intended to benefit ecosystems supporting juvenile salmonids in the lower Columbia River and estuary. Literature review in 2004 revealed no existing methods for such an evaluation and suggested that cumulative effects could be additive or synergistic. Field research in 2005, 2006, and 2007 involved intensive, comparative studies paired by habitat type (tidal swamp vs. marsh), trajectory (restoration vs. reference site), and restoration action (tide gate vs. culvert vs. dike breach). The field work established two kinds of monitoring indicators for eventual cumulative effects analysis: core and higher-order indicators. Management implications of limitations and applications of site-specific effectiveness monitoring and cumulative effects analysis were identified.

Johnson, Gary E.; Diefenderfer, Heida L.; Borde, Amy B.; Dawley, Earl M.; Ebberts, Blaine D.; Putman, Douglas A.; Roegner, G. C.; Russell, Micah; Skalski, John R.; Thom, Ronald M.; Vavrinec, John

2008-10-01T23:59:59.000Z

67

The Cumulative Impact of Cloud Droplet Nucleating Aerosols on Orographic Snowfall in Colorado  

Science Conference Proceedings (OSTI)

Hygroscopic pollution aerosols have the potential to alter winter orographic snowfall totals and spatial distributions by modification of high-elevation supercooled orographic clouds and the riming process. The authors investigate the cumulative ...

Stephen M. Saleeby; William R. Cotton; Jamie D. Fuller

2011-03-01T23:59:59.000Z

68

Glossary Term - Avogadro's Number  

NLE Websites -- All DOE Office Websites (Extended Search)

Atomic Number Previous Term (Atomic Number) Glossary Main Index Next Term (Beta Decay) Beta Decay Avogadro's Number Avogadro's number is the number of particles in one mole of a...

69

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Lower Columbia River and Estuary, 2009  

SciTech Connect

This is the sixth annual report of a seven-year project (2004 through 2010) to evaluate the cumulative effects of habitat restoration actions in the lower Columbia River and estuary (LCRE). The project, called the Cumulative Effects Study, is being conducted for the U.S. Army Corps of Engineers Portland District (USACE) by the Marine Sciences Laboratory of the Pacific Northwest National Laboratory (PNNL), the Pt. Adams Biological Field Station of the National Marine Fisheries Service (NMFS), the Columbia River Estuary Study Taskforce (CREST), and the University of Washington. The goal of the Cumulative Effects Study is to develop a methodology to evaluate the cumulative effects of multiple habitat restoration projects intended to benefit ecosystems supporting juvenile salmonids in the 235-km-long LCRE. Literature review in 2004 revealed no existing methods for such an evaluation and suggested that cumulative effects could be additive or synergistic. From 2005 through 2009, annual field research involved intensive, comparative studies paired by habitat type (tidal swamp versus marsh), trajectory (restoration versus reference site), and restoration action (tidegate replacement vs. culvert replacement vs. dike breach).

Johnson, Gary E.; Diefenderfer, Heida L.; Borde, Amy B.; Bryson, Amanda J.; Cameron, April; Coleman, Andre M.; Corbett, C.; Dawley, Earl M.; Ebberts, Blaine D.; Kauffman, Ronald; Roegner, G. Curtis; Russell, Micah T.; Silva, April; Skalski, John R.; Thom, Ronald M.; Vavrinec, John; Woodruff, Dana L.; Zimmerman, Shon A.

2010-10-26T23:59:59.000Z

70

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Number: Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 $2,550,203 FY2009 $39,646,446 FY2010 $64,874,187 FY2011 $66,253,207 FY2012 $41,492,503 FY2013 $0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Earned $214,816,546 Fee Available $2,550,203 Minimum Fee $77,931,569 $69,660,249 Savannah River Nuclear Solutions LLC $458,687,779 $0 Maximum Fee Fee Information $88,851,963 EM Contractor Fee Site: Savannah River Site Office, Aiken, SC Contract Name: Management & Operating Contract September 2013 DE-AC09-08SR22470

71

Evaluation of Cumulative Ecosystem Response to Restoration Projects in the Lower Columbia River and Estuary, 2010  

Science Conference Proceedings (OSTI)

This is the seventh and final annual report of a project (2004–2010) addressing evaluation of the cumulative effects of habitat restoration actions in the 235-km-long lower Columbia River and estuary. The project, called the Cumulative Effects (CE) study, was conducted for the U.S. Army Corps of Engineers Portland District by a collaboration of research agencies led by the Pacific Northwest National Laboratory. We achieved the primary goal of the CE study to develop a methodology to evaluate the cumulative effects of habitat actions in the Columbia Estuary Ecosystem Restoration Program. We delivered 1) standard monitoring protocols and methods to prioritize monitoring activities; 2) the theoretical and empirical basis for a CE methodology using levels-of-evidence; 3) evaluations of cumulative effects using ecological relationships, geo-referenced data, hydrodynamic modeling, and meta-analyses; and 4) an adaptive management process to coordinate and coalesce restoration efforts in the LCRE. A solid foundation has been laid for future comprehensive evaluations of progress made by the Columbia Estuary Ecosystem Restoration Program to understand, conserve, and restore ecosystems in the lower Columbia River and estuary.

Johnson, Gary E.; Diefenderfer, Heida L.; Thom, Ronald M.; Roegner, G. Curtis; Ebberts, Blaine D.; Skalski, John R.; Borde, Amy B.; Dawley, Earl; Coleman, Andre M.; Woodruff, Dana L.; Breithaupt, Stephen A.; Cameron, April; Corbett, C.; Donley, Erin E.; Jay, D. A.; Ke, Yinghai; Leffler, K.; McNeil, C.; Studebaker, Cindy; Tagestad, Jerry D.

2012-05-01T23:59:59.000Z

72

Supporting international entry decisions for construction firms using fuzzy preference relations and cumulative prospect theory  

Science Conference Proceedings (OSTI)

This paper emphasizes on supporting international entry decisions for construction firms in a three-phase analysis process. Phase I identified significant factors as two categories, namely country and project factor levels. Phase II stuck on identifying ... Keywords: Alternative selection, Construction firms, Cumulative prospect theory, Fuzzy preference relations, International construction market

Min-Yuan Cheng; Hsing-Chih Tsai; Kai-Hsiang Chuang

2011-11-01T23:59:59.000Z

73

Interim Report on Cumulative Risk Assessment for Radiological and Chemical Constituents of Concern at Decommissioning Sites  

Science Conference Proceedings (OSTI)

Decommissioning nuclear facilities focus extensive efforts on site characterization to demonstrate regulatory compliance in the termination of site licenses. Many decommissioning sites, while recognizing radiological characterization and assessment needs, lacked experience in chemical risk assessment. This report documents plant approaches for performing cumulative risk assessments of both radiological and non-radiological constituents of concern.

2005-12-08T23:59:59.000Z

74

Risk decision analysis in emergency response: A method based on cumulative prospect theory  

Science Conference Proceedings (OSTI)

Emergency response of a disaster is generally a risk decision-making problem with multiple states. In emergency response analysis, it is necessary to consider decision-maker's (DM's) psychological behavior such as reference dependence, loss aversion ... Keywords: Cumulative prospect theory (CPT), Emergency response, Ranking, Risk decision-making

Yang Liu, Zhi-Ping Fan, Yao Zhang

2014-02-01T23:59:59.000Z

75

RECOGNITION OF NOISY SPEECH USING CUMULANT-BASED LINEAR PREDICTION ANALYSIS K.K. Paliwal and M.M. Sondhi  

E-Print Network (OSTI)

]. The cumulant-based LF analysis method can suppress the effects of ad&he Gaussiannoise whether white or colored to deal with thus problem [2,3,4, 5,6,7]. In this paper, we propose to use LF parameters derived through-order cumulants in thuspaper. However, the results reported in this paper can be extended to higher

76

Blind channel identification algorithms based on the Parafac decomposition of cumulant tensors: The single and multiuser cases  

Science Conference Proceedings (OSTI)

In this paper, we exploit the symmetry properties of 4th-order cumulants to develop new blind channel identification algorithms that utilize the parallel factor (Parafac) decomposition of cumulant tensors by solving a single-step (SS) least squares (LS) ... Keywords: Channel identification, Parameter estimation, Tensor decomposition, Underdetermined linear mixtures

Carlos Estêvão R. Fernandes; Gérard Favier; João Cesar M. Mota

2008-06-01T23:59:59.000Z

77

A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine  

Science Conference Proceedings (OSTI)

In this paper a cumulant-based method for identification of gait using accelerometer data is presented. Acceleration data of three different walking speeds (slow, normal and fast) for each subject was acquired by the accelerometer embedded in cell phone ... Keywords: accelerometer, body sensor, cumulants, gait identification, gait recognition, high-order statistics, pattern recognition

Sebastijan Sprager; Damjan Zazula

2009-11-01T23:59:59.000Z

78

Gaussian random number generators  

Science Conference Proceedings (OSTI)

Rapid generation of high quality Gaussian random numbers is a key capability for simulations across a wide range of disciplines. Advances in computing have brought the power to conduct simulations with very large numbers of random numbers and with it, ... Keywords: Gaussian, Random numbers, normal, simulation

David B. Thomas; Wayne Luk; Philip H.W. Leong; John D. Villasenor

2007-11-01T23:59:59.000Z

79

CDFTBL: A statistical program for generating cumulative distribution functions from data  

SciTech Connect

This document describes the theory underlying the CDFTBL code and gives details for using the code. The CDFTBL code provides an automated tool for generating a statistical cumulative distribution function that describes a set of field data. The cumulative distribution function is written in the form of a table of probabilities, which can be used in a Monte Carlo computer code. A a specific application, CDFTBL can be used to analyze field data collected for parameters required by the PORMC computer code. Section 2.0 discusses the mathematical basis of the code. Section 3.0 discusses the code structure. Section 4.0 describes the free-format input command language, while Section 5.0 describes in detail the commands to run the program. Section 6.0 provides example program runs, and Section 7.0 provides references. The Appendix provides a program source listing. 11 refs., 2 figs., 19 tabs.

Eslinger, P.W. (Pacific Northwest Lab., Richland, WA (United States))

1991-06-01T23:59:59.000Z

80

Program on Technology Innovation: Cumulative Risk Assessment of Urban Air Toxics: Pilot Modeling Study  

Science Conference Proceedings (OSTI)

Cumulative risk modeling for estimating the burden of exposure to urban air toxics requires consideration of a range of factors influencing population health. These factors include multiple toxic compounds, a variety of pollutant sources, background levels of air pollutants, and non-chemical stressors not historically considered in regulatory risk assessments. To date, quantitative methods to account for all these factors remain sporadic and relatively untested. However, the United States ...

2013-10-29T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Quantum Random Number Generator  

Science Conference Proceedings (OSTI)

... trusted beacon of random numbers. You could conduct secure auctions, or certify randomized audits of data. One of the most ...

2013-08-30T23:59:59.000Z

82

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Columbia River Estuary, Annual Report 2004  

SciTech Connect

The restoration of wetland salmon habitat in the tidal portion of the Columbia River is occurring at an accelerating pace and is anticipated to improve habitat quality and effect hydrological reconnection between existing and restored habitats. Currently multiple groups are applying a variety of restoration strategies in an attempt to emulate historic estuarine processes. However, the region lacks both a standardized means of evaluating the effectiveness of individual projects as well as methods for determining the cumulative effects of all restoration projects on a regional scale. This project is working to establish a framework to evaluate individual and cumulative ecosystem responses to restoration activities in order to validate the effectiveness of habitat restoration activities designed to benefit salmon through improvements to habitat quality and habitat opportunity (i.e. access) in the Columbia River from Bonneville Dam to the ocean. The review and synthesis of approaches to measure the cumulative effects of multiple restoration projects focused on defining methods and metrics of relevance to the CRE, and, in particular, juvenile salmon use of this system. An extensive literature review found no previous study assessing the cumulative effects of multiple restoration projects on the fundamental processes and functions of a large estuarine system, although studies are underway in other large land-margin ecosystems including the Florida Everglades and the Louisiana coastal wetlands. Literature from a variety of scientific disciplines was consulted to identify the ways that effects can accumulate (e.g., delayed effects, cross-boundary effects, compounding effects, indirect effects, triggers and thresholds) as well as standard and innovative tools and methods utilized in cumulative effects analyses: conceptual models, matrices, checklists, modeling, trends analysis, geographic information systems, carrying capacity analysis, and ecosystem analysis. Potential indicators for detecting a signal in the estuarine system resulting from the multiple projects were also reviewed, i.e. organic matter production, nutrient cycling, sedimentation, food webs, biodiversity, salmon habitat usage, habitat opportunity, and allometry. In subsequent work, this information will be used to calculate the over net effect on the ecosystem. To evaluate the effectiveness of habitat restoration actions in the lower Columbia River and estuary, a priority of this study has been to develop a set of minimum ecosystem monitoring protocols based on metrics important for the CRE. The metrics include a suite of physical measurements designed to evaluate changes in hydrological and topographic features, as well as biological metrics that will quantify vegetation and fish community structure. These basic measurements, intended to be conducted at all restoration sites in the CRE, will be used to (1) evaluate the effectiveness of various restoration procedures on target metrics, and (2) provide the data to determine the cumulative effects of many restoration projects on the overall system. A protocol manual is being developed for managers, professional researchers, and informed volunteers, and is intended to be a practical technical guide for the design and implementation of monitoring for the effects of restoration activities. The guidelines are intended to standardize the collection of data critical for analyzing the anticipated ecological change resulting from restoration treatments. Field studies in 2005 are planned to initiate the testing and evaluation of these monitoring metrics and protocols and initiate the evaluation of higher order metrics for cumulative effects.

Diefenderfer, Heida L.; Roegner, Curtis; Thom, Ronald M.; Dawley, Earl M.; Whiting, Allan H.; Johnson, Gary E.; Sobocinski, Kathryn L.; Anderson, Michael G.; Ebberts, Blaine

2005-12-15T23:59:59.000Z

83

Hardware generation of arbitrary random number distributions from uniform distributions via the inversion method  

Science Conference Proceedings (OSTI)

We present an automated methodology for producing hardware-based random number generator (RNG) designs for arbitrary distributions using the inverse cumulative distribution function (ICDF). The ICDF is evaluated via piecewise polynomial approximation ... Keywords: Chebyshev approximation and theory, algorithms implemented in hardware, automatic synthesis, computer arithmetic, elementary function approximation, error analysis, gate arrays, piecewise polynomial approximation

Ray C. C. Cheung; Dong-U Lee; Wayne Luk; John D. Villasenor

2007-08-01T23:59:59.000Z

84

Quark cluster contribution to cumulative proton emission in fragmentation of carbon ions  

E-Print Network (OSTI)

In the FRAGM experiment at heavy ion accelerator complex TWAC-ITEP, the proton yields at an angle 3.5$^\\circ$ have been measured at fragmentation of carbon ions at $T_0 = $ 0.6, 0.95 and 2.0 GeV/nucleon on beryllium target. The data are presented as invariant proton yields on cumulative variable $x$ in the range 0.9 carbon nuclei are estimated to be 8--12% for six-quark clusters and 0.2--0.6% for nine-quark clusters.

B. M. Abramov; P. N. Alekseev; Yu. A. Borodin; S. A. Bulychjov; I. A. Dukhovskoy; A. I. Khanov; A. P. Krutenkova; V. V. Kulikov; M. A. Martemyanov; M. A. Matsyuk; E. N. Turdakina

2013-04-23T23:59:59.000Z

85

NEPA Lessons Learned Cumulative Index December 2012 1 DOE NEPA Lessons Learned Quarterly Report  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cumulative Index December 2012 1 Cumulative Index December 2012 1 DOE NEPA Lessons Learned Quarterly Report A Accident Analyses Sep 95/12; Dec 95/15; Sep 97/7; Sep 98/7; Dec 98/5; Jun 00/3, 8 guidance issued for preparation of Sep 02/16; Dec 02/20 Adaptive Management also see: Environmental Management Systems Dec 02/8; Jun 07/17; Jun 08/8 training Dec 06/16 Administrative Record also see: Legal Issues Mar 97/13; Sep 97/7; Jun 98/7; Dec 98/4 Advisory Council on Historic Preservation also see: National Historic Preservation Act Dec 98/11; Jun 99/3; Sep 99/2; Dec 00/6; Jun 01/8; Dec 01/6; Sep 02/17; Dec 03/13; Sep 04/16 Affected Environment Sep 95/12; Dec 98/7; Sep 00/8 Air Force Sep 11/10 Alternative Arrangements (emergency actions) see: Council on Environmental Quality: alternative arrangements

86

Effect of cumulative seismic damage and corrosion on life-cycle cost of reinforced concrete bridges  

E-Print Network (OSTI)

Bridge design should take into account not only safety and functionality, but also the cost effectiveness of investments throughout a bridge life-cycle. This work presents a probabilistic approach to compute the life-cycle cost (LCC) of corroding reinforced concrete (RC) bridges in earthquake prone regions. The approach is developed by combining cumulative seismic damage and damage associated to corrosion due to environmental conditions. Cumulative seismic damage is obtained from a low-cycle fatigue analysis. Chloride-induced corrosion of steel reinforcement is computed based on Fick’s second law of diffusion. The proposed methodology accounts for the uncertainties in the ground motion parameters, the distance from source, the seismic demand on the bridge, and the corrosion initiation time. The statistics of the accumulated damage and the cost of repairs throughout the bridge life-cycle are obtained by Monte-Carlo simulation. As an illustration of the proposed approach, the effect of design parameters on the life-cycle cost of an example RC bridge is studied. The results are shown to be valuable in better estimating the condition of existing bridges (i.e., total accumulated damage at any given time) and, therefore, can help schedule inspection and maintenance programs. In addition, by taking into consideration the deterioration process over a bridge life-cycle, it is possible to make an estimate of the optimum design parameters by minimizing, for example, the expected cost throughout the life of the structure.

Kumar, Ramesh

2007-12-01T23:59:59.000Z

87

Assessing cumulative impacts to wintering Bald Eagles and their habitats in western Washington  

Science Conference Proceedings (OSTI)

Bald Eagles (Haliaeetus leucocephalus) of Washington, the largest wintering population in the lower 48 states, are subject to numerous pressures and impacts from human activites. An evaluative method potential cumulative impacts of multiple hydroelectric development and logging activities on known and potential eagle use areas. Four resource components include food supply, roost sites, mature riparian forest, and disturbance. In addition to actual estimates of losses in food supply (fish biomass in kg) and habitat (km/sup 2/) in one river basin, impact levels from 0 (none) to 4 (high) were assigned for each development and for each component based on the impacts anticipated and the estimated value of the site to eagles. Midwinter eagle surveys, aerial photography, topographic and forest stand maps, and site visits were used in the analysis. Impacts were considered additive for all but the disturbance component, which was adjusted for potential synergism between developments. Adjustments were made for mitigation before the impacts were aggregated into a single, dimensionless cumulative impact score. 50 refs., 1 fig., 1 tab.

Witmer, G.W.; O'Neil, T.A.

1988-01-01T23:59:59.000Z

88

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

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) Texas Natural Gas Number of Industrial Consumers (Number of Elements) Texas Natural Gas Number of Industrial Consumers (Number of...

89

Number | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Number More Documents & Publications Analysis of Open Office of Inspector General Recommendations, OAS-L-08-07 Policy and International Affairs (WFP) Open Government Plan 2.0...

90

Expected Frobenius numbers  

E-Print Network (OSTI)

We show that for large instances the order of magnitude of the expected Frobenius number is (up to a constant depending only on the dimension) given by its lower bound.

Aliev, Iskander; Hinrichs, Aicke

2009-01-01T23:59:59.000Z

91

Report number codes  

SciTech Connect

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.

Nelson, R.N. (ed.)

1985-05-01T23:59:59.000Z

92

Number | Open Energy Information  

Open Energy Info (EERE)

Number Number Jump to: navigation, search Properties of type "Number" Showing 200 properties using this type. (previous 200) (next 200) A Property:AvgAnnlGrossOpCpcty Property:AvgTempGeoFluidIntoPlant Property:AvgWellDepth B Property:Building/FloorAreaChurchesChapels Property:Building/FloorAreaGroceryShops Property:Building/FloorAreaHealthServices24hr Property:Building/FloorAreaHealthServicesDaytime Property:Building/FloorAreaHeatedGarages Property:Building/FloorAreaHotels Property:Building/FloorAreaMiscellaneous Property:Building/FloorAreaOffices Property:Building/FloorAreaOtherRetail Property:Building/FloorAreaResidential Property:Building/FloorAreaRestaurants Property:Building/FloorAreaSchoolsChildDayCare Property:Building/FloorAreaShops Property:Building/FloorAreaSportCenters

93

Using Fractional Numbers of . . .  

E-Print Network (OSTI)

One of the design parameters in closed queueing networks is Np, the number of customers of class p. It has been assumed that Np must be an integer. However, integer choices will usually not achieve the target throughput for each class simultaneously. We use Mean Value Analysis with the Schweitzer-Bard approximation and nonlinear programming to determine the value of Np needed to achieve the production targets exactly, although the values of Np may be fractional. We interpret these values to represent the average number of customers of each class in the network. We implement a control rule to achieve these averages and verify our approach through simulation.

Rajan Suri; Rahul Shinde; Mary Vernon

2005-01-01T23:59:59.000Z

94

Appraising the sustainability of project alternatives: An increasing role for cumulative effects assessment  

Science Conference Proceedings (OSTI)

Evaluating and comparing development alternatives with regard to sustainability is an important goal for comprehensive project appraisal. In the United States, this component has been largely missing from standard environmental impact assessment practice. Cumulative effects assessment provides a way to appraise the sustainability of project alternatives in terms of their probable contributions to long-term trends affecting the condition of valued environmental components. Sustainability metrics and predictors are being developed as criteria for rating systems and evaluation processes that are applied to community planning, building design, and transportation infrastructure. Increasing interest in adaptive management is also providing cost-effective solutions to optimizing safety and function throughout the long-term operation of a facility or infrastructure. Recent federal legislation is making it easier to integrate sustainability features into development alternatives through early, community-based planning.

Senner, Robert, E-mail: robin.senner@ch2m.com

2011-09-15T23:59:59.000Z

95

Multiple uses of indicators and indices in cumulative effects assessment and management  

SciTech Connect

Both environmental indicators and multi-metric indices are useful for describing baseline conditions and qualitatively predicting the cumulative consequences of multiple actions. Several examples and case studies associated with indicators and/or indices are presented herein. They can be easily modified for usage in CEAM. Habitat suitability models reflect special indices related to habitat needs and quality for specific species or broad habitat types. Such models have been used to address direct and indirect effects, and with some modification, they can be also used to address cumulative effects of multiple actions. This review has indicated that there are numerous examples of such tools which have been or could be used in both EIA and CEAM. Some key lessons are: (1) in conducting CEAM studies, it is useful to think from the mindset that 'I am the VEC or indicator, and what is my historical and current condition and how have I, or will I, be affected by multiple past, present, and future actions?'; (2) due to the likely absence of detailed information on future actions, the described tools can still be used to 'predict' future conditions by focusing on qualitative up-or-down changes in individual indicators or indices with their aggregated displays; and (3) numerous regional and site-specific tools are currently available, with one example being indices of biological integrity for specific watersheds and water bodies. Such tools, even though they may not have been developed for CEAM usage, can certainly benefit CEAM studies and practice. Finally, usage of selected and appropriate tools as described herein can aid in conducting science-based, systematic, and documentable CEAM studies.

Canter, L.W., E-mail: envimptr@aol.com [University of Oklahoma and Environmental Impact Training, Horseshoe Bay, TX (United States); Atkinson, S.F. [Institute of Applied Science, University of North Texas, Denton, TX (United States)

2011-09-15T23:59:59.000Z

96

Evaluating Cumulative Ecosystem Response to Restoration Projects in the Columbia River Estuary, Annual Report 2005  

DOE Green Energy (OSTI)

This report is the second annual report of a six-year project to evaluate the cumulative effects of habitat restoration projects in the Columbia River Estuary, conducted by Pacific Northwest National Laboratory's Marine Sciences Laboratory, NOAA's National Marine Fisheries Service Pt. Adams Biological Field Station, and the Columbia River Estuary Study Taskforce for the US Army Corps of Engineers. In 2005, baseline data were collected on two restoration sites and two associated reference sites in the Columbia River estuary. The sites represent two habitat types of the estuary--brackish marsh and freshwater swamp--that have sustained substantial losses in area and that may play important roles for salmonids. Baseline data collected included vegetation and elevation surveys, above and below-ground biomass, water depth and temperature, nutrient flux, fish species composition, and channel geometry. Following baseline data collection, three kinds of restoration actions for hydrological reconnection were implemented in several locations on the sites: tidegate replacements (2) at Vera Slough, near the city of Astoria in Oregon State, and culvert replacements (2) and dike breaches (3) at Kandoll Farm in the Grays River watershed in Washington State. Limited post-restoration data were collected: photo points, nutrient flux, water depth and temperature, and channel cross-sections. In subsequent work, this and additional post-restoration data will be used in conjunction with data from other sites to estimate net effects of hydrological reconnection restoration projects throughout the estuary. This project is establishing methods for evaluating the effectiveness of individual projects and a framework for assessing estuary-wide cumulative effects including a protocol manual for monitoring restoration and reference sites.

Diefenderfer, Heida L.; Thom, Ronald M.; Borde, Amy B.; Roegner, G. C.; Whiting, Allan H.; Johnson, Gary E.; Dawley, Earl; Skalski, John R.; Vavrinec, John; Ebberts, Blaine D.

2006-12-20T23:59:59.000Z

97

Student Name: __________________________R Number: ____________________Catalog Year:___________ Honors: ______ Date:_____________ Texas Tech Cumulative G.P.A. _________ Energy Commerce Qualifying G.P.A.: _______  

E-Print Network (OSTI)

+ENCO 4362. U.S. Energy Policy & Regulation. 3 +ENCO 3386. Oil and Gas Agreements. or +ENCO 4396. Oil ENCO 3361 Natural Gas Transportation and Marketing. Prerequisite(s): C or better in ENCO 3301 and 3385 4395. Oil and Gas Law I. 3 +ENCO 3376. Exploration and Production Techniques. 3 PROGRESS CHECKLIST o

Westfall, Peter H.

98

A number of organizations,  

E-Print Network (OSTI)

buying power to purchase green power. The city of Chicago has formed an alliance with 47 other local installed solar electric systems on a number of the city's buildings, including the Chicago Center for Green to competition, the city of Chicago and 47 other local government agencies formed the Local Government Power

99

CHEMICAL SAFETY Emergency Numbers  

E-Print Network (OSTI)

- 1 - CHEMICAL SAFETY MANUAL 2010 #12;- 2 - Emergency Numbers UNBC Prince George Campus Security Prince George Campus Chemstores 6472 Chemical Safety 6472 Radiation Safety 5530 Biological Safety 5530 use, storage, handling, waste and emergency management of chemicals on the University of Northern

Bolch, Tobias

100

Disjunctive Rado numbers  

Science Conference Proceedings (OSTI)

If L1 and L2 are linear equations, then the disjunctive Rado number of the set {L1, L2} is the least integer n, provided that it exists, such that for every 2-coloring of ... Keywords: Rado, Ramsey, Schur, disjunctive

Brenda Johnson; Daniel Schaal

2005-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

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

Gasoline and Diesel Fuel Update (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Commercial Consumers (Number of Elements) South Dakota Natural Gas Number of Commercial Consumers...

102

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

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Residential Consumers (Number of Elements) South Dakota Natural Gas Number of Residential...

103

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

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

View History: Annual Download Data (XLS File) South Dakota Natural Gas Number of Industrial Consumers (Number of Elements) South Dakota Natural Gas Number of Industrial Consumers...

104

Preventive Action Number:  

NLE Websites -- All DOE Office Websites (Extended Search)

7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 7 Corrective Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Corrective Action Report Planning Worksheet Document Number: F-017 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-017 Corrective Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 11_0414 Added problem statement to first block. F-017 Corrective Action Report Planning Worksheet 11_0414 3 of 3 Corrective Action Report Planning Worksheet Corrective Action Number: Source: Details/Problem Statement: Raised By: Raised Date: Target Date:

105

ELECTRICAL DISTRICT NUMBER EIGHT  

NLE Websites -- All DOE Office Websites (Extended Search)

ELECTRICAL DISTRICT NUMBER EIGHT ELECTRICAL DISTRICT NUMBER EIGHT Board of Directors Reply to: Ronald Rayner C. W. Adams James D. Downing, P.E. Chairman Billy Hickman 66768 Hwy 60 Brian Turner Marvin John P.O. Box 99 Vice-Chairman Jason Pierce Salome, AZ 85348 Denton Ross Jerry Rovey Secretary James N. Warkomski ED8@HARCUVARCO.COM John Utz Gary Wood PHONE:(928) 859-3647 Treasurer FAX: (928) 859-3145 Sent via e-mail Mr. Darrick Moe, Regional Manager Western Area Power Administration Desert Southwest Region P. O. Box 6457 Phoenix, AZ 85005-6457 moe@wapa.gov; dswpwrmrk@wapa.gov Re: ED5-Palo Verde Hub Project Dear Mr. Moe, In response to the request for comments issued at the October 6 Parker-Davis Project customer th meeting, and in conjunction with comments previously submitted by the Southwest Public Power

106

Preventive Action Number:  

NLE Websites -- All DOE Office Websites (Extended Search)

8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 8 Preventive Action Report Planning Worksheet 11_0414 1 of 3 EOTA - Business Form Document Title: Preventive Action Report Planning Worksheet Document Number: F-018 Rev 11_0414 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: P-008, Corrective/Preventive Action Notify of Changes: EOTA Employees Referenced Document(s): N/A F-018 Preventive Action Report Planning Worksheet 11_0414 2 of 3 Revision History: Rev. Description of Change 08_0613 Initial Release 09_0924 Worksheet modified to reflect External Audit recommendation for identification of "Cause for Potential Nonconformance". Minor editing changes. 11_0414 Added Preventive Action Number block to match Q-Pulse

107

Methodologies for Assessing the Cumulative Environmental Effects of Hydroelectric Development of Fish and Wildlife in the Columbia River Basin, Volume 1, Recommendations, 1987 Final Report.  

DOE Green Energy (OSTI)

This volume is the first of a two-part set addressing methods for assessing the cumulative effects of hydropower development on fish and wildlife in the Columbia River Basin. Species and habitats potentially affected by cumulative impacts are identified for the basin, and the most significant effects of hydropower development are presented. Then, current methods for measuring and assessing single-project effects are reviewed, followed by a review of methodologies with potential for use in assessing the cumulative effects associated with multiple projects. Finally, two new approaches for cumulative effects assessment are discussed in detail. Overall, this report identifies and reviews the concepts, factors, and methods necessary for understanding and conducting a cumulative effects assessment in the Columbia River Basin. Volume 2 will present a detailed procedural handbook for performing a cumulative assessment using the integrated tabular methodology introduced in this volume. 308 refs., 18 figs., 10 tabs.

Stull, Elizabeth Ann

1987-07-01T23:59:59.000Z

108

Finite Neutrosophic Complex Numbers  

E-Print Network (OSTI)

In this book for the first time the authors introduce the notion of real neutrosophic complex numbers. Further the new notion of finite complex modulo integers is defined. For every $C(Z_n)$ the complex modulo integer $i_F$ is such that $2F_i = n - 1$. Several algebraic structures on $C(Z_n)$ are introduced and studied. Further the notion of complex neutrosophic modulo integers is introduced. Vector spaces and linear algebras are constructed using these neutrosophic complex modulo integers.

W. B. Vasantha Kandasamy; Florentin Smarandache

2011-11-01T23:59:59.000Z

109

Construction Project Number  

NLE Websites -- All DOE Office Websites (Extended Search)

North Execution - (2009 - 2011) North Execution - (2009 - 2011) Construction Project Number 2009 2010 2011 Project Description ANMLPL 0001C 76,675.32 - - Animas-Laplata circuit breaker and power rights CRGRFL 0001C - - 7,177.09 Craig Rifle Bay and transfer bay upgrade to 2000 amps; / Convert CRG RFL to 345 kV out of Bears Ear Sub FGE 0019C - - 39,207.86 Replace 69/25kV transformer KX2A at Flaming Gorge FGE 0020C - - 52,097.12 Flaming Gorge: Replace failed KW2A transformer HDN 0069C 16,638.52 208,893.46 3,704,578.33 Replace failed transformer with KZ1A 250 MVA 230/138kv

110

KPA Activity Number  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

supports CMM-SW Level 2 supports CMM-SW Level 2 Mapping of the DOE Systems Engineering Methodology to the Software Engineering Institute (SEI) Software Capability Maturity Model (CMM- SW) level 2. Date: September 2002 Page 1 KPA Activity Number KPA Activity SEM Section SME Work Product SQSE Web Site http://cio.doe.gov/sqse REQUIREMENTS MANAGEMENT RM-1 The software engineering group reviews the allocated requirements before they are incorporated in the software project. Chapter 3.0 * Develop High-Level Project Requirements Chapter 4.0 * Establish Functional Baseline * Project Plan * Requirements Specification Document * Requirements Management awareness * Defining Project Requirements RM-2 The software engineering group uses the allocated requirements as the basis for

111

Cumulative Effects of Micro-Hydro Development on the Fisheries of the Swan River Drainage, Montana, Volume III, Fish and Habitat Inventory of Tributary Streams, 1983-1984 Final Report.  

DOE Green Energy (OSTI)

This report summarizes a study of the fisheries of the Swan River drainage in relation to potential small hydro development. This information was collected in order to obtain a reliable basin-wide database which was used to evaluate the potential cumulative effects of a number of proposed small hydro developments on the fisheries of the drainage. For each named tributary stream there is a reach-by-reach narrative summary of general habitat characteristics, outstanding features of the stream, and fish populations and spawning use. An attempt was made to rank many of the measured parameters relative to other surveyed stream reaches in the drainage. 3 refs.

Leathe, Stephen A.

1985-03-01T23:59:59.000Z

112

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

Gasoline and Diesel Fuel Update (EIA)

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...

113

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

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

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

114

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

Annual Energy Outlook 2012 (EIA)

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...

115

California Natural Gas Number of Industrial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

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...

116

California Natural Gas Number of Commercial Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

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...

117

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

Gasoline and Diesel Fuel Update (EIA)

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...

118

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

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

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

119

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

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

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

120

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

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

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

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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

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

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

122

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

Annual Energy Outlook 2012 (EIA)

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...

123

Michigan Natural Gas Number of Residential Consumers (Number...  

Gasoline and Diesel Fuel Update (EIA)

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...

124

Michigan Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

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...

125

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

Annual Energy Outlook 2012 (EIA)

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...

126

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

Annual Energy Outlook 2012 (EIA)

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...

127

Idaho Natural Gas Number of Residential Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

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...

128

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

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

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

129

Hawaii Natural Gas Number of Residential Consumers (Number of...  

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

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

130

Kentucky Natural Gas Number of Residential Consumers (Number...  

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

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

131

Tennessee Natural Gas Number of Residential Consumers (Number...  

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

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

132

Maryland Natural Gas Number of Residential Consumers (Number...  

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

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

133

Louisiana Natural Gas Number of Residential Consumers (Number...  

U.S. 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...

134

Alabama Natural Gas Number of Residential Consumers (Number of...  

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

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

135

Oklahoma Natural Gas Number of Residential Consumers (Number...  

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

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

136

Alaska Natural Gas Number of Residential Consumers (Number of...  

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

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

137

Kansas Natural Gas Number of Residential Consumers (Number of...  

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

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

138

Illinois Natural Gas Number of Residential Consumers (Number...  

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

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

139

Maine Natural Gas Number of Residential Consumers (Number of...  

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

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

140

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

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

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

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

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

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

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

142

Georgia Natural Gas Number of Residential Consumers (Number of...  

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

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

143

Arkansas Natural Gas Number of Residential Consumers (Number...  

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

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

144

Missouri Natural Gas Number of Residential Consumers (Number...  

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

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

145

Montana Natural Gas Number of Residential Consumers (Number of...  

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

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

146

Nevada Natural Gas Number of Residential Consumers (Number of...  

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

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

147

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

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

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...

148

Arizona Natural Gas Number of Residential Consumers (Number of...  

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

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

149

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

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

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...

150

Nebraska Natural Gas Number of Residential Consumers (Number...  

U.S. 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...

151

Minnesota Natural Gas Number of Residential Consumers (Number...  

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

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

152

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

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

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...

153

Delaware Natural Gas Number of Residential Consumers (Number...  

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

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

154

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

Gasoline and Diesel Fuel Update (EIA)

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...

155

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

Annual Energy Outlook 2012 (EIA)

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...

156

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

Annual Energy Outlook 2012 (EIA)

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...

157

Colorado Natural Gas Number of Industrial Consumers (Number of...  

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

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

158

Colorado Natural Gas Number of Residential Consumers (Number...  

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

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

159

Colorado Natural Gas Number of Commercial Consumers (Number of...  

Gasoline and Diesel Fuel Update (EIA)

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...

160

Illinois Natural Gas Number of Industrial Consumers (Number of...  

Annual Energy Outlook 2012 (EIA)

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...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

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

Annual Energy Outlook 2012 (EIA)

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...

162

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

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

(Number of Elements) New Mexico Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

163

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

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

(Number of Elements) New Mexico Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's...

164

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

Gasoline and Diesel Fuel Update (EIA)

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

165

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

Annual Energy Outlook 2012 (EIA)

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

166

Number: 305 Most Dangerous Vehicles ...  

Science Conference Proceedings (OSTI)

... top> Number: 314 Marine Vegetation Description: Commercial harvesting of marine vegetation such as algae, seaweed and ...

2002-12-12T23:59:59.000Z

167

Company/Product Description Contract Number Contract Holders  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Company/Product Company/Product Description Contract Number Contract Holders (contact directly) Small Business Product POCs DOE POC Adobe Adobe's Government Cumulative Licenses Program (CLP) and Enterprise Agreement (EA2) Program. Most Adobe desktop products and services DE-IM0000595 Emergent, LLC: Tenley White ph: 571-419-6430 twhite@emergent360.com Matthew Frazee ph: 571-419-6419 MFrazee@emergent360.com YES Adobe: Tiffany Person ph: 847-224-2746 tiperson@adobe.com Alan Andon Alan.Andon@hq.doe.gov 301-903-9722 AT&T email Cybersecurity Services (DEX) DE-IM0000695 AT&T: Linda D. Blanchard ph: 443-896-5291 lb4826@att.com NO AT&T PM: Linda D. Blanchard ph: 443-896-5291 lb4826@att.com DOE PM: Brian Varine ph: : 202-586-8139 Brian.varine@hq.doe.gov Core Security

168

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number  

E-Print Network (OSTI)

CHANGE OF NAME TIAA Annuity Number CREF Annuity Number TIAA Policy Number Social Security Number and only use black or dark blue ink. Return this form to: TIAA-CREF P.O. Box 1264 Charlotte, NC 28201 NOTE City State Zip Code For TIAA-CREF USE ONLY Accepted -- Teachers Insurance and Annuity Association

Snider, Barry B.

169

Number  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

NATIONAL ENERGY POLICY NATIONAL ENERGY POLICY STATUS REPORT on Implementation of NEP Recommendations January, 2005 1 NEP RECOMMENDATIONS: STATUS OF IMPLEMENTATION Chapter 1 1. That the President issue an Executive Order to direct all federal agencies to include in any regulatory action that could significantly and adversely affect energy supplies, distribution, or use, a detailed statement of energy effects and alternatives in submissions to the Office of Management and Budget of proposed regulations covered and all notices of proposed regulations published in the Federal Register. STATUS: IMPLEMENTED. In May 2001, President Bush issued Executive Order 13211 requiring federal agencies to include, in any regulatory action that could significantly and

170

Regulatory and technical reports (abstract index journal): Annual compilation for 1994. Volume 19, Number 4  

SciTech Connect

This compilation consists of bibliographic data and abstracts for the formal regulatory and technical reports issued by the US Nuclear Regulatory Commission (NRC) Staff and its contractors. It is NRC`s intention to publish this compilation quarterly and to cumulate it annually. The main citations and abstracts in this compilation are listed in NUREG number order. These precede the following indexes: secondary report number index, personal author index, subject index, NRC originating organization index (staff reports), NRC originating organization index (international agreements), NRC contract sponsor index (contractor reports), contractor index, international organization index, and licensed facility index. A detailed explanation of the entries precedes each index.

NONE

1995-03-01T23:59:59.000Z

171

The Distribution of Ramsey Numbers  

E-Print Network (OSTI)

We prove that the number of integers in the interval [0,x] that are non-trivial Ramsey numbers r(k,n) (3 order of magnitude (x ln x)**(1/2).

Clark, Lane

2013-01-01T23:59:59.000Z

172

Number: 1394 Description: In what ...  

Science Conference Proceedings (OSTI)

... Number: 1752 Description: When was the Oklahoma City bombing? ... name of the plane that dropped the Atomic Bomb on Hiroshima? ...

2003-02-12T23:59:59.000Z

173

Data Compression with Prime Numbers  

E-Print Network (OSTI)

A compression algorithm is presented that uses the set of prime numbers. Sequences of numbers are correlated with the prime numbers, and labeled with the integers. The algorithm can be iterated on data sets, generating factors of doubles on the compression.

Gordon Chalmers

2005-11-16T23:59:59.000Z

174

An experimental evaluation of S-N curves and validity of miner's cumulative damage hypothesis for an ACSR conductor  

Science Conference Proceedings (OSTI)

Laboratory simulation of aeolian vibrations was used in determining the fatigue characteristics of an ACSR conductor subjected to constant and varied amplitude loadings. Using linear regression analyses, S-N curves for first through fifth strand breaks were fit to the data, and a pseudo endurance limit of 21.31 MPa (3.09 ksi) estimated. Subjecting the conductor to three different types of load sequences revealed that Miner's Cumulative Damage hypothesis is somewhat conservative, but can be assumed valid for design purposes. This information, in conjunction with the actual load histories, will allow electric utility companies to more accurately design transmission lines.

Brunair, R.M.; Ramey, G. (Auburn Univ., Auburn, AL (US)); Duncan, R.R. III (Univ. of Texas, Austin, TX (US))

1988-07-01T23:59:59.000Z

175

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

04 294,316 FY2005 820,074 FY2006 799,449 FY2007 877,898 FY2008 866,608 FY2009 886,404 FY2010 800,314 FY2011 871,280 FY2012 824,517 FY2013 Cumulative Fee Paid 7,040,860...

176

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

16,237,181 FY2010 6,222,832 FY2011 59,831,257 FY2012 0 FY2013 0 FY2014 FY2015 FY2016 FY2017 FY2018 Cumulative Fee Paid 82,291,270 CH2MHill Plateau Remediation Company...

177

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2010 19,332,431 FY2011 23,956,349 FY2012 19,099,251 FY2013 0 FY2014 FY2015 FY2016 FY2017 FY2018 FY2019 Cumulative Fee Paid 62,388,031 209,254,793 21,226,918 21,030,647 Fee...

178

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

13 0 FY2014 0 FY2015 0 FY2016 0 FY2017 0 FY2018 0 Cumulative Fee Paid 0 310,000 320,000 330,000 340,000 HPM Corporation DE-EM0002043 350,000 Firm Fixed Price Plus Award...

179

Candidate wind-turbine generator site cumulative meteorological data summary and data for January 1982 through September 1982  

DOE Green Energy (OSTI)

Summarized cumulative hourly meteorological data for 20 new sites selected in early 1980 as part of the expanded candidate site program are presented. The reporting period is July 1980 through September 1982. The data collection program at some individual sites may not span this entire period, but will be contained within the reporting period. The purpose of providing the summarized data is to document the data collection program and to provide data that could be considered representative of longer-term meteorological conditions at each site. For each site, data are given in eight tables and in a topographic map showing the approximated location of the meteorological tower and turbine, if applicable. Use of the information from these tables, along with information about specific wind turbines, should allow the user to estimate the potential for longer-term average wind energy production at each site. Two appendices of other data are provided. Appendix A contains summarized data collected at new and original sites during the period January 1982 through September 1982. Appendix B contains cumulative summarized data for those original sites selected in 1976 with data collection programs continuing into 1982.

Sandusky, W.F.; Buck, J.W.; Renne, D.S.; Hadley, D.L.; Abbey, O.B.; Bradymire, S.L.; Gregory, J.L.

1983-08-01T23:59:59.000Z

180

Dynamic virtual credit card numbers  

Science Conference Proceedings (OSTI)

Theft of stored credit card information is an increasing threat to e-commerce.We propose a dynamic virtual credit card number scheme that reduces the damage caused by stolen credit card numbers. A user can use an existing credit card account to generate ... Keywords: credit card theft, e-commerce

Ian Molloy; Jiangtao Li; Ninghui Li

2007-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

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

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

Residential Consumers (Number of Elements) 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 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Number of Natural Gas Residential

182

Stochastic Low Reynolds Number Swimmers  

E-Print Network (OSTI)

As technological advances allow us to fabricate smaller autonomous self-propelled devices, it is clear that at some point directed propulsion could not come from pre-specified deterministic periodic deformation of the swimmer's body and we need to develop strategies to extract a net directed motion from a series of random transitions in the conformation space of the swimmer. We present a theoretical formulation to describe the "stochastic motor" that drives the motion of low Reynolds number swimmers based on this concept, and use it to study the propulsion of a simple low Reynolds number swimmer, namely, the three-sphere swimmer model. When the detailed-balanced is broken and the motor is driven out of equilibrium, it can propel the swimmer in the required direction. The formulation can be used to study optimal design strategies for molecular-scale low Reynolds number swimmers.

Ramin Golestanian; Armand Ajdari

2009-01-12T23:59:59.000Z

183

Document ID Number: RL-721  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Document ID Number: Document ID Number: RL-721 REV 4 NEPA REVIEW SCREENING FORM DOE/CX-00066 I. Project Title: Nesting Bird Deterrent Study at the 241-C Tank Farm CX B3.8, "Outdoor Terrestrial Ecological and Environmental Research" II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): Washington River Protection Solutions LLC (WRPS) will perform an outdoor, terrestrial ecological research study to attempt to control and deter nesting birds at the 241-C Tank Farm. This will be a preventative study to test possible methods for controlling &/or minimizing the presence and impacts of nesting birds inside the tank farm. A nesting bird

184

Undergraduate Catalog Phone Numbers & Address  

E-Print Network (OSTI)

Interest Research Exemption Programs 11 ReglsJrationPeriod III 6 Group (WashPIRG) 14 Faculty Number 9 State NaUonal Guard ' . , Full-Time Student Requirements __'_ 9 Service and Research Credit 10 Tuition notice. All announcements in the Time Schedule are subject to change without notice and do not constitute

Kelly, Scott David

185

MOTOR POOL RESERVATIONS Reservation Number:_______________  

E-Print Network (OSTI)

MOTOR POOL RESERVATIONS Reservation Number:_______________ Evanston campus: Chicago campus: 2020: 312/503-9243 E-mail: motor-pool@northwestern.edu E-mail: motor-pool@northwestern.edu Hours: 8:00 a reservations require the "Organization Authorization for University Vehicles" form to be faxed to Motor Pool

Shull, Kenneth R.

186

On the changes in number and intensity of North Atlantic tropical cyclones  

E-Print Network (OSTI)

Bayesian statistical models were developed for the number of tropical cyclones and the rate at which these cyclones became hurricanes in the North Atlantic. We find that, controlling for the cold tongue index and the North Atlantic oscillation index, there is high probability that the number of cyclones has increased in the past thirty years; but the rate at which these storms become hurricanes appears to be constant. We also investigate storm intensity by measuring the distribution of individual storm lifetime in days, storm track length, and Emanuel's power dissiptation index. We find little evidence that the distribution of individual storm intensity is changing through time. Any increase in cumulative yearly storm intensity and potential destructiveness, therefore, is due to the increasing number of storms and not due to any increase in the intensity of individual storms.

Briggs, W M

2007-01-01T23:59:59.000Z

187

RL·721 Document ID Number:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Document ID Number: Document ID Number: REV 3 NEPA REVIEW SCREENING FORM DOE/CX-00045 . J.proj(;l~t Titl~: - - - -- - - - - - - - - - - - - - - - - - -- --------- ------_. . _ - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - LIMITED FIREBREAK MAINTENANCE ON THE HANFORD SITE DURING CALENDAR YEAR 2012 II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions· e.g., acres displaced/disturbed, excavation length/depth, etc.): The Department of Energy (DOE) proposes to perform firebreak maintenance in selected areas of the Hanford Site during calendar year 2012 with limited use of physical, chemical, and prescribed burning methods. Prescribed burning will be performed by the Hanford Fire Department under approved burn plans and permits; and only in previously disturbed

188

RIN Number 1904-AB68  

NLE Websites -- All DOE Office Websites (Extended Search)

Federal Procurement of Energy Efficient Products Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752 Rosslyn, VA 22209

189

RIN Number 1904-AB68  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RULEMAKING TITLE: Federal Procurement of Energy Efficient Products RIN NUMBER: 1904-AB68 CLOSING DATE: August 20, 2007 COMMENT NUMBER DATE RECEIVED/ DATE OF LETTER NAME & TITLE OF COMMENTATOR AFFILIATION & ADDRESS OF COMMENTATOR 1 ? 7/31/07 Edwin Pinero Federal Environmental Executive Office of the Federal Environmental Executive 1200 Pennsylvania Avenue, NW Mail Code 1600J Washington, DC 20460 2 8/8/07 (e-mail) Bob Null President Arkansas Lamp Manufacturing bnull@arkansaslamp.com 3 8/10/07 (e-mail) Dawn Gunning Environmental Program Manager Department of Justice Dawn.M.Gunning@usdoj.gov 4 8/14/07 8/14/07 Kyle Pitsor Vice President, Government Relations National Electrical Manufacturers Association 1300 North 17th Street, Suite 1752

190

Old SmNd ages for cumulate eucrites and redetermination of the solar system initial Maud Boyet a,b,c,  

E-Print Network (OSTI)

Short-lived 146 Sm­142 Nd and long-lived 147 Sm­143 Nd chronometers have been measured in three cumulate initial 146 Sm/144 Sm ratio is obtained using the five-point regression line determined for Binda. The 146 different groups of achondrites relative to ordinary chondrites. This work suggests that 146 Sm

Reiners, Peter W.

191

Grantee Total Number of Homes  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

192

The Scalable Parallel Random Number Generators (SPRNG) ...  

Science Conference Proceedings (OSTI)

... Random Number Generators (SPRNG) Library is a widely used tool for random number generation on high-performance computing platforms. ...

2011-05-04T23:59:59.000Z

193

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

194

RL-721 Document ID Number:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 4 NEPA REVIEW SCREENING FORM DOE/CX-00075 I. Project Title: Project 1-718, Electrical Utili ties Transformer Management Support Facility II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions -e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): The proposed action includes design, procurement, and construction of a pre-engineered metal building for transformer management; including inspections, routine maintenance, testing, refurbishing, and disposition of excess transformers. The building will be constructed in the previously disturbed, gravel-covered electrical utilities lay-down yard west of the 2101-M Building in 200 East Area of the Hanford Site. The building footprint

195

Control Measure Title Reference Number *  

E-Print Network (OSTI)

exhaustive search for emissions reductions to use in meeting federal Clean Air Act requirements for this 2008 PM2.5 Plan. Chapter 6 details the District’s process for developing control measures for reducing emissions of primary PM2.5 and PM2.5 precursors. This Appendix presents the product of this process: a master list of all candidate control measure ideas identified and evaluated for this plan. After assembling Appendix I, the District then screened the candidate measures into several categories: high priority measures to be implemented in the years immediately following plan adoption; measures that might be implemented in future years to allow for expected technology development; and those measures that require further study to identify when they could be implemented and what reductions they could achieve. Candidate control measure descriptions in Appendix I have the following major components:! Title and Number

unknown authors

2008-01-01T23:59:59.000Z

196

Natural Gas Development and Grassland Songbird Abundance in Southwestern Saskatchewan: The Impact of Gas Wells and Cumulative Disturbance .  

E-Print Network (OSTI)

??The quantity and quality of remaining grasslands in southwestern Saskatchewan, Canada, are threatened by expansion of natural gas development. The number of natural gas wells… (more)

Bogard, Holly Jayne Kalyn

2011-01-01T23:59:59.000Z

197

Development of a Prototype Optical Hydrogen Gas Sensor Using a Getter-Doped Polymer Transducer for Monitoring Cumulative Exposure: Preliminary Results  

DOE Green Energy (OSTI)

A novel prototype optical sensor for monitoring cumulative hydrogen gas exposure was fabricated and evaluated. Chemical-to-optical transduction was accomplished by detecting the intensity of 670 nm laser light transmitted through a hydrogen getter-doped polymer film mounted at the end of an optical fiber; the transmittance of the composite film increased with uptake of hydrogen by the embedded getter. The composite film consisted of the hydrogen getter 1,4-bis(phenylethynyl)benzene, also known as DEB, with carbon-supported palladium catalyst embedded in silicone elastomer. Because the change in transmittance was irreversible and occurred continuously as the getter captured hydrogen, the sensor behaved like a dosimeter, providing a unique indication of the cumulative gas exposure.

Small IV, W; Maitland, D J; Wilson, T S; Bearinger, J P; Letts, S A; Trebes, J E

2008-06-05T23:59:59.000Z

198

Cumulative Effects of Micro-Hydro Development on the Fisheries of the Swan River Drainage, Montana, Volume II, Technical Information, 1983-1984 Final Report.  

DOE Green Energy (OSTI)

This report summarizes a study to determine the potential cumulative effects of proposed small hydro development on the fisheries of the Swan River drainage. This report contains technical information and is a support document for the main report (Leathe and Enk, 1985). Consequently, discussion of results was minimized. The sections on fish population monitoring, streambed monitoring, habitat survey comparisons, and water temperature are the only portions that were not discussed in the main report. 5 refs., 55 figs., 44 tabs.

Leathe, Stephen A.

1985-07-01T23:59:59.000Z

199

Alternative Fuels Data Center: Renewable Identification Numbers  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Renewable Renewable Identification Numbers to someone by E-mail Share Alternative Fuels Data Center: Renewable Identification Numbers on Facebook Tweet about Alternative Fuels Data Center: Renewable Identification Numbers on Twitter Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Google Bookmark Alternative Fuels Data Center: Renewable Identification Numbers on Delicious Rank Alternative Fuels Data Center: Renewable Identification Numbers on Digg Find More places to share Alternative Fuels Data Center: Renewable Identification Numbers on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Renewable Identification Numbers RIN Format EPA uses the following format to determine RINs for each physical gallon of

200

Why is hydrogen's atomic number 1?  

NLE Websites -- All DOE Office Websites (Extended Search)

the number of protons in an atom's nucleus. Hydrogen's atomic number is 1 because all hydrogen atoms contain exactly one proton. Author: Steve Gagnon, Science Education Specialist...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Reference Number PCR Kit Name Manufacturer Kit ...  

Science Conference Proceedings (OSTI)

Page 1. Reference Number PCR Kit Name Manufacturer Kit Description 1 Profiler Life Technologies AmpFlSTR® Profiler® (Part number 403038) ...

2013-11-20T23:59:59.000Z

202

Number: 894 Description: How far is it ...  

Science Conference Proceedings (OSTI)

... Number: 1198 Description: When was Hiroshima bombed? ... 1264 Description: What is the atomic weight of ...

2002-04-29T23:59:59.000Z

203

Fast library for number theory: an introduction  

Science Conference Proceedings (OSTI)

We discuss FLINT (Fast Library for Number Theory), a library to support computations in number theory, including highly optimised routines for polynomial arithmetic and linear algebra in exact rings.

William B. Hart

2010-09-01T23:59:59.000Z

204

,"New Mexico Number of Natural Gas Consumers"  

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

1: Residential" "Sourcekey","NA1501SNM8","NA1508SNM8","NA1509SNM8" "Date","New Mexico Natural Gas Number of Residential Consumers (Count)","New Mexico Natural Gas Number of...

205

Number: 1 Description: How did the ...  

Science Conference Proceedings (OSTI)

... Number: 80 Description: What part did ITT (International Telephone and Telegraph) and Anaconda Copper play in the ...

2003-03-03T23:59:59.000Z

206

Number: 1 Description: What powers did ...  

Science Conference Proceedings (OSTI)

... top> Number: 10 Description: What is one of the major problems with electronic producing turbines (windmills) in California? ...

2002-11-04T23:59:59.000Z

207

Cumulative Effects of Micro-Hydro Development on the Fisheries of the Swan River Drainage, Montana, Volume I, Summary, 1983-1984 Final Report.  

DOE Green Energy (OSTI)

This study was designed to develop and apply methods to evaluate the cumulative effects of 20 proposed small hydro projects on the fisheries resources of the Swan River drainage located in northwestern Montana. Fish population and reach classification information was used to estimate total populations of 107,000 brook trout, 65,000 cut-throat trout and 31,000 juvenile bull trout within the tributary system. Distribution, abundance, and life history of fish species in the drainage and their contribution to the sport fishery were considered in the cumulative impact analysis. Bull trout were chosen as the primary species of concern because of their extensive use of project areas, sensitivity to streambed sedimentation, and their importance to the lake and river sport fisheries. Dewatering of hydroelectric diversion zones and streambed sedimentation (resulting from forest and small hydro development) were the major impacts considered. The developer proposed to divert up to the entire streamflow during low flow months because maintenance of recommended minimum bypass flows would not allow profitable project operation. Dewatering was assumed to result in a total loss of fish production in these areas. 105 refs., 19 figs., 38 tabs.

Leathe, Stephen A.; Enk, Michael D.

1985-04-01T23:59:59.000Z

208

Cumulative Effects of Micro-Hydro Development on the Fisheries of the Swan River Drainage, Montana, First Annual Progress Report (Covering Field Season July-November 1982).  

DOE Green Energy (OSTI)

This fisheries study is to determine the potential cumulative biological and economic effects of 20 small or micro-hydro-electric facilities (less than 5 megawatts) proposed to be constructed on tributaries to the Swan River, a 1738 square kilometer (671 square mile) drainage located in northwestern Montana. The study addresses portions of measure 1204 (b) (2) of the Norwthwest Power Planning Council's Columbia River Basin Fish and Wildlife Program. Aerial pre-surveys conducted during 1982 identified 102 stream reaches that may support fish populations in the Swan drainage between Swan and Lindbergh lakes. These reaches were located in 49 tributary streams and constituted 416 kilometers (258 miles) of potential fish habitat. Construction of all proposed small hydro projects would divert water from 54 kilometers (34 miles) or about 13 percent of the tributary system. Only two of the 20 proposed hydro sites did not support trout populations and most were populated by migratory bull trout and westslope cutthroat trout. Potential cumulative habitat losses that could result from dewatering of all proposed project areas were predicted using a stream reach classification scheme involving stream gradient, drainage ara, and fish population data. Preliminary results of this worst case analysis indicate that 23, 19 and 6 percent of the high quality rearing habitat for cutthroat, bull, and brook trout respectively would be lost.

Leathe, Stephen A.; Graham, Patrick J.

1984-03-01T23:59:59.000Z

209

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

Annual Energy Outlook 2012 (EIA)

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

210

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

Annual Energy Outlook 2012 (EIA)

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

211

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

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

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

212

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

Annual Energy Outlook 2012 (EIA)

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

213

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

Annual Energy Outlook 2012 (EIA)

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

214

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

Gasoline and Diesel Fuel Update (EIA)

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...

215

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

Gasoline and Diesel Fuel Update (EIA)

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

216

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

Annual Energy Outlook 2012 (EIA)

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...

217

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

Annual Energy Outlook 2012 (EIA)

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

218

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

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

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

219

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

Annual Energy Outlook 2012 (EIA)

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

220

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

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 152 170 165 195 224 Production (million cubic feet)...

222

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 280 300 225 240 251 Production (million cubic feet)...

223

Production mechanisms, number concentration, size distribution...  

NLE Websites -- All DOE Office Websites (Extended Search)

Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002asl2.441 Meeting Report Production mechanisms, number concentration, size distribution, chemical composition, and...

224

Project Registration Number Assignments (Completed) | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

& Publications Project Registration Number Assignments (Active) Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002 All Active DOE Technical...

225

Project Registration Number Assignments (Active) | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Registration Number Assignments (Completed) All Active DOE Technical Standards Document Technical Standards, DOE Orders and Applicable CFRsDEAR Crosswalk - February 2, 2002...

226

Regulatory and technical reports (abstract index journal): Compilation for third quarter 1994, July--September. Volume 19, Number 3  

SciTech Connect

This compilation consists of bibliographic data and abstracts for the formal regulatory and technical reports issues by the U.S. Nuclear Regulatory Commission (NRC) Staff and its contractors. It is NRC`s intention to publish this compilation quarterly and to cumulate it annually. The main citations and abstracts in this compilation are listed in NUREG number order: NUREG-XXXX, NUREG/CP-XXXX, NUREG/CR-XXXX, and NUREG/IA-XXXX. These precede the following indexes: Secondary Report Number Index, Personal Author Index, Subject Index, NRC Originating Organization Index (Staff Reports), NRC Originating Organization Index (International Agreements), NRC Contract Sponsor Index (Contractor Reports) Contractor Index, International Organization Index, Licensed Facility Index. A detailed explanation of the entries precedes each index.

Not Available

1994-12-01T23:59:59.000Z

227

Customer Service Specialist Job Number: 54844874  

E-Print Network (OSTI)

. The credit company is able to link a customer's identification number with 1 A discussion of signatures can: identification numbers for the customer, the customer's credit company, and the merchant; the amount customers' identities. ffl The credit company will not know what customers buy. Security is implemented

Heller, Barbara

228

enter part number BNC / RP-BNC  

E-Print Network (OSTI)

enter part number Products 7/16 1.0/2.3 1.6/5.6 AFI AMC BNC / RP-BNC C FAKRA SMB FME HN MCX Mini ------- Product Search ------- Inventory Search Search Results for: 31-10152-RFX Results: 1 - 1 of 1 Part Number. All rights reserved. Copyright | Terms & Conditions | RF E-Mail Client | Contact Us | Amphenol

Berns, Hans-Gerd

229

Compendium of Experimental Cetane Number Data  

DOE Green Energy (OSTI)

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.

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

2004-09-01T23:59:59.000Z

230

Compare Activities by Number of Computers  

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

Number of Computers Number of Computers Compare Activities by ... Number of Computers Office buildings contained the most computers per square foot, followed by education and outpatient health care buildings. Education buildings were the only type with more than one computer per employee. Religious worship and food sales buildings had the fewest computers per square foot. Percent of All Computers by Building Type Figure showing percent of all computers by building type. If you need assistance viewing this page, please call 202-586-8800. Computer Data by Building Type Number of Buildings (thousand) Total Floorspace (million square feet) Number of Employees (thousand) Total Computers (thousand) Computers per Million Square Feet Computers per Thousand Employees All Buildings 4,657

231

Photon-number tomography and fidelity  

E-Print Network (OSTI)

The scheme of photon-number tomography is discussed in the framework of star-product quantization. The connection of dual quantization scheme and observables is reviewed. The quantizer and dequantizer operators and kernels of star product of tomograms in photon-number tomography scheme and its dual one are presented in explicit form. The fidelity and state purity are discussed in photon{number tomographic scheme, and the expressions for fidelity and purity are obtained in the form of integral of the product of two photon-number tomograms with integral kernel which is presented in explicit form. The properties of quantumness are discussed in terms of inequalities on state photon{number tomograms.

O. V. Man'ko

2012-12-23T23:59:59.000Z

232

Radionuclide contaminant analysis of small mammals at Area G, Technical Area 54, 1996 (with cumulative summary for 1994--1996)  

Science Conference Proceedings (OSTI)

Small mammals were sampled at two waste burial sites at Area G, Technical Area (TA) 54 and a control site within the proposed Area G expansion area in 1996 to (1) identify radionuclides that are present within rodent tissues at waste burial sites, (2) to compare the amount of radionuclide uptake by small mammals at waste burial sites to a control site, and (3) to identify the primary mode of contamination to small mammals, either through surface contact or ingestion/inhalation. Three composite samples of approximately five animals per sample were collected at each site. Pelts and carcasses of each animal were separated and analyzed independently. Samples were analyzed for {sup 241}Am, {sup 90}Sr, {sup 238}Pu, {sup 239}Pu, total U, {sup 137}Cs, and {sup 3}H. Higher levels of total U, {sup 241}Am, {sup 238}Pu, and {sup 239}Pu were detected in pelts as compared to the carcasses of small mammals at TA-54. Concentrations of other measured radionuclides in carcasses were nearly equal to or exceeded the mean concentrations in the pelts. Due to low sample sizes in total number of animals captured, statistical analysis to compare site to site could not be conducted. However, mean concentrations of total U, {sup 238}Pu, {sup 239}Pu, and {sup 137}Cs in rodent carcasses were higher at Site 1 than site 2 or the Control Site and {sup 241}Am was higher at Site 2 than Site 1 or the Control Site.

Biggs, J.R.; Bennett, K.D.; Fresquez, P.R.

1997-07-01T23:59:59.000Z

233

Stockpile Stewardship Quarterly Volume 1, Number 4  

National Nuclear Security Administration (NNSA)

1, Number 4 * February 2012 1, Number 4 * February 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 1, Number 4 Inside this Issue 2 Applying Advanced Simulation Models to Neutron Tube Ion Extraction 3 Advanced Optical Cavities for Subcritical and Hydrodynamic Experiments 5 Progress Toward Ignition on the National Ignition Facility 7 Commissioning URSA Minor: The First LTD-Based Accelerator for Radiography 8 Publication Highlights 9 2011 NNSA Stewardship Science Graduate Fellowship Class S tockpile Stewardship Science is not for wimps, and

234

Radionuclide Contaminant Analysis of Small Mammals at Area G, Technical Area 54, 1997 (with cumulative summary 1994-1997)  

SciTech Connect

In 1997, small mammals were sampled at four locations at Area G, Technical Area 54, a control site within the proposed Area G expansion area, and a background site on Frijoles Mesa. The purpose of the sampling was to (1) identify radionuclides that are present within rodent tissues at waste burial sites, (2) compare the amount of radionuclide uptake by small mammals at waste burial sites to a control site, and (3) identifi the primary mode of contamination to small mammals, either through surface contact or ingestion/inhalation. Three composite samples of approximately five animals per sample were collected at each site. Pelts and carcasses of each animal were separated and analyzed independently. Samples were analyzed for 241Am, 90Sr, 238Pu, 239Pu, total U, 137Cs, and 3H. Higher levels of total U and 137CS were detected in pelts as compared to the carcasses of small mammals, and 90Sr was found to be higher in carcasses. Concentrations of other measured radionuclides in carcasses were not found to be statistically different (p< 0.05) from that measured in pelts. However, pelts generally had higher concentrations than carcasses, indicating surface contamination may be the primary contamination mode. Low sample sizes in total number of animals captured during 1997 prevented statistical analysis to compare site to site to all but four sites. Mean concentrations of 241Am, 238Pu, 239Pu, and 3H in small mammal carcasses were found to be statistically greater at the transuranic (TRU) waste pad #2. In addition, mean concentrations of total U, ~lAm, and 3H in pelts of small mammals were also statistically greater. The Control Site and Background Site consistently had the lowest mean concentrations of radionuclides. Year to year comparison of mean radionuclide concentrations was conducted where suftlcient sample size existed. We found 241Am, 238Pu, 239Pu, and 3H mean concentrations in carcasses to be statistically greater in 1997 than previous years at TRU waste pad #2. However, mean concentrations of 137CS in small mammal carcasses were higher at the TRU waste pad #2 and Pits 17 and 18 during 1996.

James R. Biggs; Kathryn D. Bennett; P. R. Fresquez

1998-12-01T23:59:59.000Z

235

What's Behind the Numbers? | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

What's Behind the Numbers? What's Behind the Numbers? What's Behind the Numbers? June 24, 2011 - 3:39pm Addthis What's Behind the Numbers? Dr. Richard Newell Dr. Richard Newell What does this mean for me? New website shows data on the why's, when's and how's of crude oil prices. Among the most visible prices that consumers may see on a daily basis are the ones found on the large signs at the gasoline stations alongside our streets and highways. The biggest single factor affecting gasoline prices is the cost of crude oil, the main raw material for gasoline production, which accounts for well over half the price of gasoline at the pump. But what is behind the price of crude oil? This week the U.S. Energy Information Administration (EIA) launched a new web-based assessment highlighting key factors that can affect crude oil

236

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 22,442 22,117 23,554 18,774 16,718 Production...

237

Number of Gas and Gas Condensate Wells  

Annual Energy Outlook 2012 (EIA)

2004 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year... 341,678 373,304 387,772 393,327 405,048 Production...

238

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ... 1,169 1,244 1,232 1,249 1,272 Production (million...

239

Climate Zone Number 1 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 1 Climate Zone Number 1 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 1 is defined as Very Hot - Humid(1A) with IP Units 9000 < CDD50ºF and SI Units 5000 < CDD10ºC Dry(1B) with IP Units 9000 < CDD50ºF and SI Units 5000 < CDD10ºC . The following places are categorized as class 1 climate zones: Broward County, Florida Hawaii County, Hawaii Honolulu County, Hawaii Kalawao County, Hawaii Kauai County, Hawaii Maui County, Hawaii Miami-Dade County, Florida Monroe County, Florida Retrieved from "http://en.openei.org/w/index.php?title=Climate_Zone_Number_1&oldid=21604" Category: ASHRAE Climate Zones What links here Related changes Special pages Printable version Permanent link Browse properties

240

Climate Zone Number 8 | Open Energy Information  

Open Energy Info (EERE)

Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon Climate Zone Number 8 Jump to: navigation, search A type of climate defined in the ASHRAE...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Contractor: Contract Number: Contract Type: Total Estimated  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Earned FY2008 2,550,203 FY2009 39,646,446 FY2010 64,874,187 FY2011 66,253,207 FY2012...

242

Theorem Proving with the Real Numbers  

E-Print Network (OSTI)

This thesis discusses the use of the real numbers in theorem proving. Typically, theorem provers only support a few `discrete' datatypes such as the natural numbers. However the availability of the real numbers opens up many interesting and important application areas, such as the verification of floating point hardware and hybrid systems. It also allows the formalization of many more branches of classical mathematics, which is particularly relevant for attempts to inject more rigour into computer algebra systems. Our work is conducted in a version of the HOL theorem prover. We describe the rigorous definitional construction of the real numbers, using a new version of Cantor's method, and the formalization of a significant portion of real analysis. We also describe an advanced derived decision procedure for the `Tarski subset' of real algebra as well as some more modest but practically useful tools for automating explicit calculations and routine linear arithmetic reasoning. Finally,...

John Robert Harrison

1996-01-01T23:59:59.000Z

243

Richardson Number Statistics in the Seasonal Thermocline  

Science Conference Proceedings (OSTI)

Statistics of Richardson number in the seasonal thermocline are determined for a simple model and from experiments over the continental shelf. The model consists of normally distributed and uncorrelated density gradient and shear (such as may be ...

Laurie Padman; Ian S. F. Jones

1985-07-01T23:59:59.000Z

244

Source codes as random number generators  

E-Print Network (OSTI)

Abstract—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asymptotically fair coin flips from a stationary ergodic source at a rate of bits per source symbol equal to the entropy rate of the source. Since optimal noiseless data compression codes produce incompressible outputs, it is natural to investigate their capabilities as optimal random number generators. In this paper we show under general conditions that optimal variable-length source codes asymptotically achieve optimal variable-length random bit generation in a rather strong sense. In particular, we show in what sense the Lempel–Ziv algorithm can be considered an optimal universal random bit generator from arbitrary stationary ergodic random sources with unknown distributions. Index Terms — Data compression, entropy, Lempel–Ziv algorithm, random number generation, universal source coding.

Karthik Visweswariah; Student Member; Sanjeev R. Kulkarni; Senior Member; Sergio Verdú

1998-01-01T23:59:59.000Z

245

Ion Stopping Powers and CT Numbers  

SciTech Connect

One of the advantages of ion beam therapy is the steep dose gradient produced near the ion's range. Use of this advantage makes knowledge of the stopping powers for all materials through which the beam passes critical. Most treatment planning systems calculate dose distributions using depth dose data measured in water and an algorithm that converts the kilovoltage X-ray computed tomography (CT) number of a given material to its linear stopping power relative to water. Some materials present in kilovoltage scans of patients and simulation phantoms do not lie on the standard tissue conversion curve. The relative linear stopping powers (RLSPs) of 21 different tissue substitutes and positioning, registration, immobilization, and beamline materials were measured in beams of protons accelerated to energies of 155, 200, and 250 MeV; carbon ions accelerated to 290 MeV/n; and iron ions accelerated to 970 MeV/n. These same materials were scanned with both kilovoltage and megavoltage CT scanners to obtain their CT numbers. Measured RLSPs and CT numbers were compared with calculated and/or literature values. Relationships of RLSPs to physical densities, electronic densities, kilovoltage CT numbers, megavoltage CT numbers, and water equivalence values converted by a treatment planning system are given. Usage of CT numbers and substitution of measured values into treatment plans to provide accurate patient and phantom simulations are discussed.

Moyers, Michael F., E-mail: MFMoyers@roadrunner.co [Department of Proton Therapy, Inc., Colton, CA (United States); Sardesai, Milind [Department of Long Beach Memorial Medical Center, Long Beach, CA (United States); Sun, Sean [Department of City of Hope National Medical Center, Duarte, CA (United States); Miller, Daniel W. [Department of Loma Linda University Medical Center, Loma Linda, CA (United States)

2010-10-01T23:59:59.000Z

246

Microsoft Word - Vol II.docx  

Office of Legacy Management (LM)

of Energy Revision 7 Final This page intentionally left blank Emergency Contact Legacy Management 24-hour Monitored Security Telephone Number (877) 695-5322 This page...

247

U  

Office of Legacy Management (LM)

material information, approved confirmations from both shipper and receiver, 24-hour emergency response telephone numbers, cargo tie-down restraint configurations, and name of the...

248

Notices OMB Control Number: 1850-0803.  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

870 Federal Register 870 Federal Register / Vol. 78, No. 140 / Monday, July 22, 2013 / Notices OMB Control Number: 1850-0803. Type of Review: Extension without change of an existing collection of information. Respondents/Affected Public: Individuals or households. Total Estimated Number of Annual Responses: 135,000. Total Estimated Number of Annual Burden Hours: 27,000. Abstract: This is a request for a 3-year renewal of the generic clearance to allow the National Center for Education Statistics (NCES) to continue to develop, test, and improve its survey and assessment instruments and methodologies. The procedures utilized to this effect include but are not limited to experiments with levels of incentives for various types of survey operations, focus groups, cognitive laboratory

249

Climate Zone Number 3 | Open Energy Information  

Open Energy Info (EERE)

Number 3 Number 3 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 3 is defined as Warm - Humid(3A) with IP Units 4500 < CDD50ºF ≤ 6300 and SI Units 2500 < CDD10ºC < 3500 Dry(3B) with IP Units 4500 < CDD50ºF ≤ 6300 and SI Units 2500 < CDD10ºC < 3500 Warm - Marine(3C) with IP Units CDD50ºF ≤ 4500 AND HDD65ºF ≤ 3600 and SI Units CDD10ºC ≤ 2500 AND HDD18ºC ≤ 2000 . The following places are categorized as class 3 climate zones: Abbeville County, South Carolina Adair County, Oklahoma Adams County, Mississippi Aiken County, South Carolina Alameda County, California Alcorn County, Mississippi Alfalfa County, Oklahoma Allendale County, South Carolina Amite County, Mississippi Anderson County, South Carolina

250

Climate Zone Number 7 | Open Energy Information  

Open Energy Info (EERE)

Climate Zone Number 7 Climate Zone Number 7 Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard. Climate Zone Number 7 is defined as Very Cold with IP Units 9000 < HDD65ºF ≤ 12600 and SI Units 5000 < HDD18ºC ≤ 7000 . The following places are categorized as class 7 climate zones: Aitkin County, Minnesota Aleutians East Borough, Alaska Aleutians West Census Area, Alaska Anchorage Borough, Alaska Aroostook County, Maine Ashland County, Wisconsin Baraga County, Michigan Barnes County, North Dakota Bayfield County, Wisconsin Becker County, Minnesota Beltrami County, Minnesota Benson County, North Dakota Bottineau County, North Dakota Bristol Bay Borough, Alaska Burke County, North Dakota Burnett County, Wisconsin Carlton County, Minnesota Cass County, Minnesota

251

SPRNG Parallel Random Number Generators at NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

SPRNG SPRNG SPRNG Description The SPRNG libraries of generators produce good quality random numbers, and are also fast. They have been subjected to some of the largest random number tests, with around 10^13 RNs per test. SPRNG provides both FORTRAN and C (also C++) interfaces for the use of the parallel random number generators. Access SPRNG v2.0 is available on Carver (gcc, intel and pgi) and Cray systems (pgi and cce). Use the module utility to load the software. module load sprng Using SPRNG On Cray systems: ftn sprng_test.F $SPRNG -lsprng On Carver: mpif90 sprng_test.F $SPRNG -lsprng Documentation On Carver there are various documents in $SPRNG/DOCS and various examples in $SPRNG/EXAMPLES. See the SPRNG web site at Florida State University for complete details. For help using SPRNG at NERSC contact the

252

Microsoft Word - Document Numbering Plan.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

document Number Plan 11/3/2005 document Number Plan 11/3/2005 All documents numbers start with a 9 9 _ _ ___ | | | | | Document per chart | Generation (i.e. PSS has 1,2&3, FEEPS has 1&2) Use 0 when the document doesn't apply to any of these System 0- Non system Specific (group wide) 1- PSS 2- Reserved for PSS expansion 3- FEEPS 4- Reserved for FEEPS expansion 5- BLEPS 6- Reserved for BLEPS expansion 7- DIW 8- Reserved for future use 9- Reserved for future use 000-099 Requirements 000 - Statement of work For x.1.4.1.4 - Design Statement of Work For Beamlines - Installation Statement of Work 001-009 Reserved for Statement of Works for upgrade, revisions, add-ons, etc. 010 - Cost Estimate 011-019 Additional Cost Estimates

253

Towards a Number Theoretic Discrete Hilbert Transform  

E-Print Network (OSTI)

This paper presents an approach for the development of a number theoretic discrete Hilbert transform. The forward transformation has been applied by taking the odd reciprocals that occur in the DHT matrix with respect to a power of 2. Specifically, the expression for a 16-point transform is provided and results of a few representative signals are provided. The inverse transform is the inverse of the forward 16-point matrix. But at this time the inverse transform is not identical to the forward transform and, therefore, our proposed number theoretic transform must be taken as a provisional result.

Kandregula, Renuka

2009-01-01T23:59:59.000Z

254

An Evidence-Based Evaluation of the Cumulative Effects of Tidal Freshwater and Estuarine Ecosystem Restoration on Endangered Juvenile Salmon in the Columbia River: Final Report  

SciTech Connect

The listing of 13 salmon and steelhead stocks in the Columbia River basin (hereafter collectively referred to as “salmon”) under the Endangered Species Act of 1973, as amended, has stimulated tidal wetland restoration in the lower 235 kilometers of the Columbia River and estuary for juvenile salmon habitat functions. The purpose of the research reported herein was to evaluate the effect on listed salmon of the restoration effort currently being conducted under the auspices of the federal Columbia Estuary Ecosystem Restoration Program (CEERP). Linking changes in the quality and landscape pattern of tidal wetlands in the lower Columbia River and estuary (LCRE) to salmon recovery is a complex problem because of the characteristics of the ecosystem, the salmon, the restoration actions, and available sampling technologies. Therefore, we designed an evidence-based approach to develop, synthesize, and evaluate information to determine early-stage (~10 years) outcomes of the CEERP. We developed an ecosystem conceptual model and from that, a primary hypothesis that habitat restoration activities in the LCRE have a cumulative beneficial effect on juvenile salmon. There are two necessary conditions of the hypothesis: • habitat-based indicators of ecosystem controlling factors, processes, and structures show positive effects from restoration actions, and • fish-based indicators of ecosystem processes and functions show positive effects from restoration actions and habitats undergoing restoration. Our evidence-based approach to evaluate the primary hypothesis incorporated seven lines of evidence, most of which are drawn from the LCRE. The lines of evidence are spatial and temporal synergies, cumulative net ecosystem improvement, estuary-wide meta-analysis, offsite benefits to juvenile salmon, landscape condition evaluation, and evidence-based scoring of global literature. The general methods we used to develop information for the lines of evidence included field measurements, data analyses, modeling, meta-analysis, and reanalysis of previously collected data sets. We identified a set of 12 ancillary hypotheses regarding habitat and salmon response. Each ancillary hypothesis states that the response metric will trend toward conditions at relatively undisturbed reference sites. We synthesized the evidence for and against the two necessary conditions by using eleven causal criteria: strength, consistency, specificity, temporality, biological gradient, plausibility, coherence, experiment, analogy, complete exposure pathway, and predictive performance. Our final evaluation included cumulative effects assessment because restoration is occurring at multiple sites and the collective effect is important to salmon recovery. We concluded that all five lines of evidence from the LCRE indicated positive habitat-based and fish-based responses to the restoration performed under the CEERP, although tide gate replacements on small sloughs were an exception. Our analyses suggested that hydrologic reconnections restore access for fish to move into a site to find prey produced there. Reconnections also restore the potential for the flux of prey from the site to the main stem river, where our data show that they are consumed by salmon. We infer that LCRE ecosystem restoration supports increased juvenile salmon growth and enhanced fitness (condition), thereby potentially improving survival rates during the early ocean stage.

Diefenderfer, Heida L.; Johnson, Gary E.; Thom, Ronald M.; Borde, Amy B.; Woodley, Christa M.; Weitkamp, Laurie A.; Buenau, Kate E.; Kropp, Roy K.

2013-12-01T23:59:59.000Z

255

Utah Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

754,554 778,644 794,880 810,442 821,525 830,219 1987-2011 Sales 754,554 821,525 830,219 1997-2011 Commercial Number of Consumers 55,821 57,741 59,502 60,781 61,976 62,885 1987-2011...

256

Michigan Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

1997-2011 Commercial Number of Consumers 254,923 253,139 252,382 252,017 249,309 249,456 1987-2011 Sales 236,447 217,325 213,995 1998-2011 Transported 18,476 31,984 35,461...

257

Beamline Phone Numbers| Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

Interactive Map Interactive Map Beamlines Map Beamlines Directory Techniques Directory Sectors Directory Beamline Phone Numbers Status and Schedule Beamline Phone Numbers From on-site, dial 2, then a number listed below. From off-site, dial 630-252 and a number listed below. Sector 1 1-BM-A: 1701 1-BM-C: 5468 1-ID: 1801 Sector 2 2-BM: 1702 2-ID-B: 1628 2-ID-D: 1802 2-ID-E: 3711 Sector 3 3-ID: 1803 Sector 4 4-ID-C: 1704 4-ID-D: 1804 Sector 5 5-BM: 1705 5-ID: 1805 Sector 6 6-ID-B: 1806 6-ID-C: 1406 6-ID-D: 1606 Sector 7 7-ID-B: 1607 7-ID-C: 1707 7-ID-D: 1807 7-ID-E: 1207 Sector 8 8-ID-E: 1908 8-ID-I: 1808 Sector 9 9-BM-B: 1709 9-ID-B: 0349 9-ID-C: 1809 Column 95: 4705 Sector 10 10-BM-B: 6792 10-ID-B: 1710 Sector 11 11-BM-B: 5877 11-ID-B: 1711 11-ID-C: 1711 11-ID-D: 2162 Laser lab: 0379 Sector 12 12-BM-B: 0378 12-ID-B,C: 1712

258

New Jersey Number of Natural Gas Consumers  

U.S. Energy Information Administration (EIA)

Number of Consumers: 8,245: 8,036: 7,680: 7,871: 7,505: 7,391: 1987-2011: Sales: 7,248 : 6,282: 6,036: 1998-2011: Transported: 997 : 1,223: 1,355: 1998-2011: Average ...

259

Wisconsin Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

,611,772 1,632,200 1,646,644 1,656,614 1,663,583 1,671,834 1987-2011 Sales 1,611,772 1,663,583 1,671,834 1997-2011 Transported 0 0 0 1997-2011 Commercial Number of Consumers...

260

Michigan Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

3,193,920 3,188,152 3,172,623 3,169,026 3,152,468 3,153,895 1987-2011 Sales 3,066,542 2,952,550 2,946,507 1997-2011 Transported 127,378 199,918 207,388 1997-2011 Commercial Number...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Idaho Number of Natural Gas Consumers  

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

23,114 336,191 342,277 346,602 350,871 353,963 1987-2012 Sales 346,602 350,871 353,963 1997-2012 Commercial Number of Consumers 33,767 37,320 38,245 38,506 38,912 39,202 1987-2012...

262

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

Universities 30 2,886,684 State of Colorado** 35 2,210,660 Miscellaneous agencies 11 498 the University of Colorado and Colorado State University Colorado School of Mines Awards by Funding Agency FiscalNumber of Award Federal Agencies Awards Amount Department of Agriculture Department of Commerce 4

263

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

289 13,089,070 Other Universities 31 2,399,092 State of Colorado** 27 2,139,037 Miscellaneous agencies the University of Colorado and Colorado State University Colorado School of Mines Awards by Funding Agency FiscalNumber of Award Federal Agencies Awards Amount Department of Agriculture 1 499,815 Department

264

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

,739,813 State of Colorado** 26 1,846,825 Miscellaneous agencies 10 697,285 326 29,281,431 Total Awards ReceivedNumber of Award Federal Agencies Awards Amount Department of Commerce 2 25,613 Department 215,000 Environmental Protection Agency 0 - National Aeronautics and Space Administration 1 30

265

Number of Award Federal Agencies Awards Amount  

E-Print Network (OSTI)

,096,445 State of Colorado 22 1,007,618 Miscellaneous agencies 10 514,288 327 24,608,655 Total Awards ReceivedNumber of Award Federal Agencies Awards Amount Department of Commerce 3 117,227 Department,385,219 Environmental Protection Agency 1 21,602 National Aeronautics and Space Administration 5 703,140 National

266

The New Element Curium (Atomic Number 96)  

DOE R&D Accomplishments (OSTI)

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.

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

1948-00-00T23:59:59.000Z

267

Vermont Number of Natural Gas Consumers  

Gasoline and Diesel Fuel Update (EIA)

34,081 34,937 35,929 37,242 38,047 38,839 1987-2011 Sales 34,081 38,047 38,839 1997-2011 Commercial Number of Consumers 4,861 4,925 4,980 5,085 5,137 5,256 1987-2011 Sales 4,861...

268

On crossing numbers of geometric proximity graphs  

Science Conference Proceedings (OSTI)

Let P be a set of n points in the plane. A geometric proximity graph on P is a graph where two points are connected by a straight-line segment if they satisfy some prescribed proximity rule. We consider four classes of higher order proximity graphs, ... Keywords: Crossing number, Geometric graphs, Proximity graphs

Bernardo M. Ábrego; Ruy Fabila-Monroy; Silvia Fernández-Merchant; David Flores-Peñaloza; Ferran Hurtado; Vera Sacristán; Maria Saumell

2011-05-01T23:59:59.000Z

269

Colorado Number of Natural Gas Consumers  

Gasoline and Diesel Fuel Update (EIA)

,558,911 1,583,945 1,606,602 1,622,434 1,634,587 1,645,716 1986-2011 Sales 1,558,908 1,634,582 1,645,711 1997-2011 Transported 3 5 5 1997-2011 Commercial Number of Consumers...

270

Octane Number Prediction in a Reforming Plant  

Science Conference Proceedings (OSTI)

In this work a neural network for the prediction of the complex and non-linear behavior of a Catalytic Reforming of a refinery has been developed. In a fuel, refinery reforming is a conversion process to increase octane number (RON) of the desulphurated ...

E. Chibaro

2000-07-01T23:59:59.000Z

271

Illinois Number of Natural Gas Consumers  

Annual Energy Outlook 2012 (EIA)

,812,121 3,845,441 3,869,308 3,839,438 3,842,206 3,855,997 1987-2011 Sales 3,619,628 3,568,120 3,594,102 1997-2011 Transported 192,493 274,086 261,895 1997-2011 Commercial Number...

272

Table B14. Number of Establishments in Building, Number of Buildings, 1999  

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

4. Number of Establishments in Building, Number of Buildings, 1999" 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 ...............",2348,1897,272,"Q","Q","Q",164 "5,001 to 10,000 ..............",1110,802,222,17,"Q","Q","Q" "10,001 to 25,000 .............",708,506,121,51,12,"Q",17 "25,001 to 50,000 .............",257,184,33,15,15,"Q","Q"

273

{sup 137}Cs concentration in soil samples from an early survey of Hiroshima atomic bomb and cumulative dose estimation from the fallout  

Science Conference Proceedings (OSTI)

Low background gamma-ray measurement has been performed to determine the {sup 137}Cs content in soil samples collected in a very early survey of the Hiroshima atomic bomb. These soil samples were collected just 3 d after the explosion within 5 km from the hypocenter and were not exposed to the global fallout from nuclear weapon tests. Out of 22 samples, {sup 137}Cs was detected for 11 samples, and their radionactivities ranged from 0.16-10.6mBq g{sup {minus}1} at the time of the measurement. A comparison of the {sup 137}Cs deposition with the rainfall area within Hiroshima city indicates that the rainfall area was wider than the previously proposed one. Cumulative exposure by the fallout has been estimated to be 0.31 mC kg{sup {minus}1} (0.12 R) 1.0 mC kg{sup {minus}1} (4 R) in the heavy fallout area. 20 refs., 6 figs., 2 tabs.

Shizuma, Kiyoshi; Iwatani, Kazuo; Hasai, Hiromi [Hiroshima Univ., Kagamiyama (Japan)] [and others

1996-09-01T23:59:59.000Z

274

Battling bird flu by the numbers  

NLE Websites -- All DOE Office Websites (Extended Search)

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

275

Sensitivity in risk analyses with uncertain numbers.  

SciTech Connect

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.

Tucker, W. Troy; Ferson, Scott

2006-06-01T23:59:59.000Z

276

AMR for low Mach number reacting flow  

Science Conference Proceedings (OSTI)

We present a summary of recent progress on the development and application of adaptive mesh refinement algorithms for low Mach number reacting flows. Our approach uses a form of the low Mach number equations based on a general equation of state that discretely conserves both mass and energy. The discretization methodology is based on a robust projection formulation that accommodates large density contrasts. The algorithm supports modeling of multicomponent systems and incorporates an operator-split treatment of stiff reaction terms. The basic computational approach is embedded in an adaptive projection framework that uses structured hierarchical grids with subcycling in time that preserves the discrete conservation properties of the underlying single-grid algorithm. We present numerical examples illustrating the application of the methodology to turbulent premixed combustion and nuclear flames in type Ia supernovae.

Bell, John B.

2004-01-16T23:59:59.000Z

277

Entanglement Distillation Protocols and Number Theory  

E-Print Network (OSTI)

We show that the analysis of entanglement distillation protocols for qudits of arbitrary dimension $D$ benefits from applying basic concepts from number theory, since the set $\\zdn$ associated to Bell diagonal states is a module rather than a vector space. We find that a partition of $\\zdn$ into divisor classes characterizes the invariant properties of mixed Bell diagonal states under local permutations. We construct a very general class of recursion protocols by means of unitary operations implementing these local permutations. We study these distillation protocols depending on whether we use twirling operations in the intermediate steps or not, and we study them both analitically and numerically with Monte Carlo methods. In the absence of twirling operations, we construct extensions of the quantum privacy algorithms valid for secure communications with qudits of any dimension $D$. When $D$ is a prime number, we show that distillation protocols are optimal both qualitatively and quantitatively.

H. Bombin; M. A. Martin-Delgado

2005-03-01T23:59:59.000Z

278

Case Numbers: TBH-0063, TBZ-0063  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

May 21, 2008 May 21, 2008 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Motion To Dismiss Name of Case: Richard L. Urie Dates of Filing: May 15, 2007 July 19, 2007 Case Numbers: TBH-0063 TBZ-0063 This Decision concerns a Complaint filed by Richard L. Urie (hereinafter referred to as "Mr. Urie" or "the Complainant") against Los Alamos National Laboratory (hereinafter referred to as "LANL" or "the Respondent"), his former employer, under the Department of Energy's (DOE) Contractor

279

Faster Quantum Number Factoring via Circuit Synthesis  

E-Print Network (OSTI)

A major obstacle to implementing Shor's quantum number-factoring algorithm is the large size of modular-exponentiation circuits. We reduce this bottleneck by customizing reversible circuits for modular multiplication to individual runs of Shor's algorithm. Our circuit-synthesis procedure exploits spectral properties of multiplication operators and constructs optimized circuits from the traces of the execution of an appropriate GCD algorithm. Empirically, gate counts are reduced by 4-5 times, and circuit latency is reduced by larger factors.

Igor L. Markov; Mehdi Saeedi

2013-01-15T23:59:59.000Z

280

Higgs Quantum Numbers in Weak Boson Fusion  

E-Print Network (OSTI)

Recently, the ATLAS and CMS experiments have reported the discovery of a Higgs like resonance at the LHC. The next analysis step will include the determination of its spin and CP quantum numbers or the form of its interaction Lagrangian channel-by-channel. We show how weak-boson-fusion Higgs production and associated ZH production can be used to separate different spin and CP states.

C. Englert; D. Goncalves-Netto; K. Mawatari; T. Plehn

2012-12-04T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

The probability distribution of the number of electron-positron pairs produced in a uniform electric field  

E-Print Network (OSTI)

The probability-generating function of the number of electron-positron pairs produced in a uniform electric field is constructed. The mean and variance of the numbers of pairs are calculated, and analytical expressions for the probability of low numbers of electron-positron pairs are given. A recursive formula is derived for evaluating the probability of any number of pairs. In electric fields of supercritical strength |eE| > \\pi m^2/ \\ln 2, where e is the electron charge, E is the electric field, and m is the electron mass, a branch-point singularity of the probability-generating function penetrates the unit circle |z| = 1, which leads to the asymptotic divergence of the cumulative probability. This divergence indicates a failure of the continuum limit approximation. In the continuum limit and for any field strength, the positive definiteness of the probability is violated in the tail of the distribution. Analyticity, convergence, and positive definiteness are restored upon the summation over discrete levels of electrons in the normalization volume. Numerical examples illustrating the field strength dependence of the asymptotic behavior of the probability distribution are presented.

M. I. Krivoruchenko

2012-06-18T23:59:59.000Z

282

Property:PhoneNumber | Open Energy Information  

Open Energy Info (EERE)

PhoneNumber PhoneNumber Jump to: navigation, search This is a property of type String. Pages using the property "PhoneNumber" Showing 25 pages using this property. (previous 25) (next 25) 1 1st Light Energy, Inc. + 209-824-5500 + 2 21-Century Silicon, Inc. + 972-591-0713 + 3 3Degrees + 415.449.0500 + 3M + 1-888-364-3577 + 4 4C Offshore Limited + +44 (0)1502 509260 + 4th Day Energy + 877-484-3291 + @ @Ventures (California) + (650) 322-3246 + @Ventures (Massachusetts) + (978) 658-8980 + A A.J. Rose Manufacturing Company + 440-934-2859 + A.O. Smith + 414-359-4000 + A1 Sun, Inc. + (510) 526-5715 + A10 Power + 415-729-4A10 or 415-729-4210 + ABC Solar, Inc. + 1-866-40-SOLAR + ABS Alaskan Inc + (800) 235-0689 + ACME solar works + 877-226-3004 + ACORE + 202-393-0001 +

283

Prefix-based node numbering for temporal XML  

Science Conference Proceedings (OSTI)

Prefix-based numbering (also called Dewey numbering, Dewey level order, or dynamic level numbering) is a popular method for numbering nodes in an XML data model instance. The nodes are numbered so that spatial relationships (e.g., is a node a descendant ... Keywords: Dewey numbering, XML, prefix-based numbering, temporal, versioning

Curtis E. Dyreson; Kalyan G. Mekala

2011-10-01T23:59:59.000Z

284

[Federal Register: April 19, 2006 (Volume 71, Number 75)] | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Federal Register: April 19, 2006 (Volume 71, Number 75) Federal Register: April 19, 2006 (Volume 71, Number 75) Federal Register: April 19, 2006 (Volume 71, Number 75) More...

285

Stockpile Stewardship Quarterly, Volume 2, Number 1  

National Nuclear Security Administration (NNSA)

1 * May 2012 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 Non-hydrostatic Behavior in the Diamond Anvil Cell 8 Emission of Shocked Inhomogeneous Materials 9 2012 NNSA Stewardship Science Academic

286

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

287

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 17 20 18 15 15 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,412 1,112 837 731 467 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 1,412 1,112 837 731 467 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 1,412 1,112 837 731 467 Nonhydrocarbon Gases Removed ..................... 198 3 0 0 0 Marketed Production

288

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

289

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

290

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

291

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

292

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 7,279 6,446 3,785 3,474 3,525 Total................................................................... 7,279 6,446 3,785 3,474 3,525 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 7,279 6,446 3,785 3,474 3,525 Nonhydrocarbon Gases Removed ..................... 788 736 431

293

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 15,206 15,357 16,957 17,387 18,120 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 463,929 423,672 401,396 369,624 350,413 From Oil Wells.................................................. 63,222 57,773 54,736 50,403 47,784 Total................................................................... 527,151 481,445 456,132 420,027 398,197 Repressuring ...................................................... 896 818 775 714 677 Vented and Flared.............................................. 527 481 456 420 398 Wet After Lease Separation................................

294

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 9 8 7 9 6 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 368 305 300 443 331 From Oil Wells.................................................. 1 1 0 0 0 Total................................................................... 368 307 301 443 331 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 368 307 301 443 331 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

295

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 98 96 106 109 111 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 869 886 904 1,187 1,229 From Oil Wells.................................................. 349 322 288 279 269 Total................................................................... 1,218 1,208 1,193 1,466 1,499 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 5 12 23 Wet After Lease Separation................................ 1,218 1,208 1,188 1,454 1,476 Nonhydrocarbon Gases Removed .....................

296

Notices Total Estimated Number of Annual  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

72 Federal Register 72 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 student financial aid records using telecommunication software. Eligible respondents include the following, but are not limited to, institutions of higher education that participate in Title IV, HEA assistance programs, third-party servicers of eligible institutions,

297

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4 4 4 4 4 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 7 7 6 6 5 Total................................................................... 7 7 6 6 5 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 7 7 6 6 5 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

298

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

299

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

300

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

302

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

303

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

304

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 380 350 400 430 280 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 1,150 2,000 2,050 1,803 2,100 Total................................................................... 1,150 2,000 2,050 1,803 2,100 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 1,150 2,000 2,050 1,803 2,100 Nonhydrocarbon Gases Removed .....................

305

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

306

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 1,502 1,533 1,545 2,291 2,386 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 899 1,064 1,309 1,464 3,401 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 899 1,064 1,309 1,464 3,401 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 899 1,064 1,309 1,464 3,401 Nonhydrocarbon Gases Removed .....................

307

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

308

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

309

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

310

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 7 7 5 7 7 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 34 32 22 48 34 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 34 32 22 48 34 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 34 32 22 48 34 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

311

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

312

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ......................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells...................................................... 0 0 0 0 0 From Oil Wells........................................................ 0 0 0 0 0 Total......................................................................... 0 0 0 0 0 Repressuring ............................................................ 0 0 0 0 0 Vented and Flared .................................................... 0 0 0 0 0 Wet After Lease Separation...................................... 0 0 0 0 0 Nonhydrocarbon Gases Removed............................ 0 0 0 0 0 Marketed Production

313

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 0 0 0 0 0 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 0 0 0 0 0 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ..................... 0 0 0 0 0 Marketed Production ..........................................

314

Risk communication: Uncertainties and the numbers game  

Science Conference Proceedings (OSTI)

The science of risk assessment seeks to characterize the potential risk in situations that may pose hazards to human health or the environment. However, the conclusions reached by the scientists and engineers are not an end in themselves - they are passed on to the involved companies, government agencies, legislators, and the public. All interested parties must then decide what to do with the information. Risk communication is a type of technical communication that involves some unique challenges. This paper first defines the relationships between risk assessment, risk management, and risk communication and then explores two issues in risk communication: addressing uncertainty and putting risk number into perspective.

Ortigara, M. [ed.

1995-08-30T23:59:59.000Z

315

The New Element Berkelium (Atomic Number 97)  

DOE R&D Accomplishments (OSTI)

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.

Seaborg, G. T.; Thompson, S. G.; Ghiorso, A.

1950-04-26T23:59:59.000Z

316

The New Element Californium (Atomic Number 98)  

DOE R&D Accomplishments (OSTI)

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.

Seaborg, G. T.; Thompson, S. G.; Street, K. Jr.; Ghiroso, A.

1950-06-19T23:59:59.000Z

317

THE OPERATOR © FOR THE CHROMATIC NUMBER OF A GRAPH£ ¡  

E-Print Network (OSTI)

We introduce an operator © mapping any graph parameter ¬( ), nested between the stability number ...... Local chromatic number and Sperner capacity. ?ournal.

318

Weighted trapezoidal approximation-preserving cores of a fuzzy number  

Science Conference Proceedings (OSTI)

Recently, various researchers have proved that approximations of fuzzy numbers may fail to be fuzzy numbers. In this contribution, we suggest a new weighted trapezoidal approximation of an arbitrary fuzzy number, which preserves its cores. We prove that ... Keywords: Core of fuzzy number, Fuzzy numbers, Trapezoidal fuzzy numbers, Weighted approximation

S. Abbasbandy; T. Hajjari

2010-05-01T23:59:59.000Z

319

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 5,775 5,913 6,496 5,878 5,781 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 17,741 27,632 36,637 35,943 45,963 From Oil Wells.................................................. 16 155 179 194 87 Total................................................................... 17,757 27,787 36,816 36,137 46,050 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 17,757 27,787 36,816 36,137 46,050 Nonhydrocarbon Gases Removed

320

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4,000 4,825 6,755 7,606 3,460 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 156,333 150,972 147,734 157,039 176,221 From Oil Wells.................................................. 15,524 16,263 14,388 12,915 11,088 Total................................................................... 171,857 167,235 162,122 169,953 187,310 Repressuring ...................................................... 8 0 0 0 0 Vented and Flared.............................................. 206 431 251 354 241 Wet After Lease Separation................................ 171,642 166,804

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Mo Year Report Period: EIA ID NUMBER:  

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

Version No: 2013.01 Mo Year Report Period: EIA ID NUMBER: http://www.eia.gov/survey/form/eia_14/instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https://signon.eia.doe.gov/upload/noticeoog.jsp Electronic Transmission: The PC Electronic Zip Code - Data Reporting Option (PEDRO) is available. If interested in software, call (202) 586-9659. Email form to: OOG.SURVEYS@eia.doe.gov - - - - Fax form to: (202) 586-9772 Mail form to: Oil & Gas Survey Email address: U.S. Department of Energy Ben Franklin Station PO Box 279 Washington, DC 20044-0279 Questions? Call toll free: 1-800-638-8812 PADD 4 Type of Report (Check One ): (Thousands of dollars) (Thousands of barrels) PADD 2 PADD 3 PAD DISTRICT (a) Revision to Report:

322

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 4,178 4,601 3,005 3,220 3,657 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 244,826 264,809 260,554 254,488 259,432 From Oil Wells.................................................. 36,290 36,612 32,509 29,871 31,153 Total................................................................... 281,117 301,422 293,063 284,359 290,586 Repressuring ...................................................... 563 575 2,150 1,785 1,337 Vented and Flared.............................................. 1,941 1,847 955 705 688 Wet After Lease Separation................................

323

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 7,068 7,425 7,700 8,600 8,500 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 241,776 224,560 224,112 194,121 212,276 From Oil Wells.................................................. 60,444 56,140 56,028 48,530 53,069 Total................................................................... 302,220 280,700 280,140 242,651 265,345 Repressuring ...................................................... 2,340 2,340 2,340 2,340 2,340 Vented and Flared.............................................. 3,324 3,324 3,324 3,324 3,324 Wet After Lease Separation................................

324

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 13,487 14,370 14,367 12,900 13,920 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 81,545 81,723 88,259 87,608 94,259 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 81,545 81,723 88,259 87,608 94,259 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 81,545 81,723 88,259 87,608 94,259 Nonhydrocarbon Gases Removed

325

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 33,897 33,917 34,593 33,828 33,828 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 98,551 97,272 97,154 87,993 85,018 From Oil Wells.................................................. 6,574 2,835 6,004 5,647 5,458 Total................................................................... 105,125 100,107 103,158 93,641 90,476 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 105,125 100,107 103,158

326

Case Numbers: TBH-0098, TBZ-0098  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November 9, 2010 November 9, 2010 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Motion to Dismiss Initial Agency Decision Names of Petitioners: Mark D. Siciliano Battelle Energy Alliance LLC Dates of Filings: March 15, 2010 August 16, 2010 Case Numbers: TBH-0098 TBZ-0098 This Decision will consider a Motion to Dismiss filed by Battelle Energy Alliance LLC (Battelle), the Management and Operating Contractor for the Department of Energy's (DOE) Idaho National Laboratory (INL), in connection with the pending Complaint of Retaliation filed by Mark Siciliano against Battelle under the DOE's Contractor Employee Protection Program and its governing regulations set forth at 10 C.F.R. Part 708. The Office of Hearings and Appeals

327

Case Numbers: TBH-0073, TBH-0075  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9, 2008 9, 2008 DECISION AND ORDER OF THE DEPARMENT OF ENERGY Initial Agency Decision Names of Petitioners: Jonathan K. Strausbaugh Richard L. Rieckenberg Date of Filing: February 1, 2008 Case Numbers: TBH-0073 TBH-0075 This Initial Agency Decision involves two whistleblower complaints, one filed by Jonathan K. Strausbaugh (Case No. TBH-0073) and the other filed by Richard L. Rieckenberg (Case No. TBH-0075) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Both complainants were employees of KSL Services, Inc. ("KSL" or "the contractor"), a contractor providing technical services on the site of the DOE Los Alamos National Laboratory (LANL) in Los Alamos, New Mexico, where they were employed until June 14, 2007. In their respective

328

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 21,507 32,672 33,279 34,334 35,612 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,473,792 1,466,833 1,476,204 1,487,451 1,604,709 From Oil Wells.................................................. 139,097 148,551 105,402 70,704 58,439 Total................................................................... 1,612,890 1,615,384 1,581,606 1,558,155 1,663,148 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................

329

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 94 95 100 117 117 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 13,527 13,846 15,130 14,524 15,565 From Oil Wells.................................................. 42,262 44,141 44,848 43,362 43,274 Total................................................................... 55,789 57,987 59,978 57,886 58,839 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 3,290 3,166 2,791 2,070 3,704 Wet After Lease Separation................................ 52,499 54,821 57,187 55,816 55,135

330

Case Numbers: TBH-0080, TBZ-0080  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7, 2009 7, 2009 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Order to Show Cause Motion for Summary Judgment Initial Agency Decision Name of Cases: Billy Joe Baptist Dates of Filing: December 19, 2008 February 18, 2009 Case Numbers: TBH-0080 TBZ-0080 This decision will consider an Order to Show Cause that I issued on February 3, 2009, regarding a March 6, 2008, whistleblower complaint filed by Billy Joe Baptist (Baptist) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708, against his employer, CH2M-WG Idaho, LLC (CWI). I will also consider in this decision as a Motion for Summary Judgment that CWI filed on February 18, 2009 regarding this complaint. Pursuant to Part 708, an OHA attorney conducted an investigation of Baptist's whistleblower

331

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

1 1 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 997 1,143 979 427 437 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 109,041 131,608 142,070 156,727 171,915 From Oil Wells.................................................. 5,339 5,132 5,344 4,950 4,414 Total................................................................... 114,380 136,740 147,415 161,676 176,329 Repressuring ...................................................... 6,353 6,194 5,975 6,082 8,069 Vented and Flared.............................................. 2,477 2,961 3,267 3,501 3,493 Wet After Lease Separation................................

332

Climate Zone Number 5 | Open Energy Information  

Open Energy Info (EERE)

5 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 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 Dry(5B) with IP Units 5400 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 Marine(5C) with IP Units 5400 < HDD65ºF ≤ 7200 and SI Units 3000 < HDD18ºC ≤ 4000 . The following places are categorized as class 5 climate zones: Ada County, Idaho Adair County, Iowa Adair County, Missouri Adams County, Colorado Adams County, Illinois Adams County, Indiana Adams County, Iowa Adams County, Nebraska Adams County, Pennsylvania Adams County, Washington Albany County, New York Allegan County, Michigan Alleghany County, North Carolina

333

Case Numbers: TBD-0073, TBD-0075  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

16, 2008 16, 2008 DECISION AND ORDER OFFICE OF HEARINGS AND APPEALS Motion to Compel Discovery Case Names: Jonathan K. Strausbaugh Richard L. Rieckenberg Date of Filing: April 2, 2008 Case Numbers: TBD-0073 TBD-0075 Pending before me is a consolidated Motion to Compel Discovery filed with the Office of Hearings and Appeals (OHA) on behalf of Jonathan K. Strausbaugh and Richard L. Rieckenberg (the complainants) by their attorney. This Motion relates to a hearing requested by the complainants under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708), in connection with the Part 708 complaints they filed against KSL Services, Inc. (KSL). The OHA has assigned Mr. Strausbaugh's and Mr. Rieckenberg's hearing

334

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 42,475 42,000 45,000 46,203 47,117 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 264,139 191,889 190,249 187,723 197,217 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 264,139 191,889 190,249 187,723 197,217 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 264,139 191,889 190,249 187,723 197,217 Nonhydrocarbon Gases Removed

335

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 9,907 13,978 15,608 18,154 20,244 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,188,657 1,467,331 1,572,728 1,652,504 1,736,136 From Oil Wells.................................................. 137,385 167,656 174,748 183,612 192,904 Total................................................................... 1,326,042 1,634,987 1,747,476 1,836,115 1,929,040 Repressuring ...................................................... 50,216 114,407 129,598 131,125 164,164 Vented and Flared.............................................. 9,945 7,462 12,356 16,685 16,848

336

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 71 68 69 61 61 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 648 563 531 550 531 From Oil Wells.................................................. 10,032 10,751 9,894 11,055 11,238 Total................................................................... 10,680 11,313 10,424 11,605 11,768 Repressuring ...................................................... 0 0 0 0 0 Vented and Flared.............................................. 1,806 2,043 1,880 2,100 2,135 Wet After Lease Separation................................ 8,875 9,271 8,545 9,504 9,633 Nonhydrocarbon Gases Removed

337

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 60,577 63,704 65,779 68,572 72,237 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 5,859,358 4,897,366 4,828,188 4,947,589 5,074,067 From Oil Wells.................................................. 999,624 855,081 832,816 843,735 659,851 Total................................................................... 6,858,983 5,752,446 5,661,005 5,791,324 5,733,918 Repressuring ...................................................... 138,372 195,150 212,638 237,723 284,491 Vented and Flared.............................................. 32,010 26,823 27,379 23,781 26,947

338

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 15,700 16,350 17,100 16,939 20,734 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 4,260,529 1,398,981 1,282,137 1,283,513 1,293,204 From Oil Wells.................................................. 895,425 125,693 100,324 94,615 88,209 Total................................................................... 5,155,954 1,524,673 1,382,461 1,378,128 1,381,413 Repressuring ...................................................... 42,557 10,838 9,754 18,446 19,031 Vented and Flared.............................................. 20,266 11,750 10,957 9,283 5,015 Wet After Lease Separation................................

339

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

9 9 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 36,000 40,100 40,830 42,437 44,227 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 150,000 130,853 157,800 159,827 197,217 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 150,000 130,853 157,800 159,827 197,217 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. NA NA NA 0 NA Wet After Lease Separation................................ 150,000 130,853 157,800 159,827 197,217

340

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

3 3 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year.................................... 4,359 4,597 4,803 5,157 5,526 Production (million cubic feet) Gross Withdrawals From Gas Wells ................................................ 555,043 385,915 380,700 365,330 333,583 From Oil Wells .................................................. 6,501 6,066 5,802 5,580 5,153 Total................................................................... 561,544 391,981 386,502 370,910 338,735 Repressuring ...................................................... 13,988 12,758 10,050 4,062 1,307 Vented and Flared .............................................. 1,262 1,039 1,331 1,611 2,316 Wet After Lease Separation................................

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 3,321 4,331 4,544 4,539 4,971 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 61,974 71,985 76,053 78,175 87,292 From Oil Wells.................................................. 8,451 9,816 10,371 8,256 10,546 Total................................................................... 70,424 81,802 86,424 86,431 97,838 Repressuring ...................................................... 1 0 0 2 5 Vented and Flared.............................................. 488 404 349 403 1,071 Wet After Lease Separation................................ 69,936 81,397 86,075 86,027 96,762

342

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 3,051 3,521 3,429 3,506 3,870 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 71,545 71,543 76,915 R 143,644 152,495 From Oil Wells.................................................. 0 0 0 0 0 Total................................................................... 71,545 71,543 76,915 R 143,644 152,495 Repressuring ...................................................... NA NA NA 0 NA Vented and Flared.............................................. 0 0 0 0 0 Wet After Lease Separation................................ 71,545 71,543 76,915 R 143,644 152,495 Nonhydrocarbon Gases Removed

343

Number of Gas and Gas Condensate Wells  

Gasoline and Diesel Fuel Update (EIA)

5 5 2000 2001 2002 2003 2004 Number of Gas and Gas Condensate Wells Producing at End of Year ................................... 33,948 35,217 35,873 37,100 38,574 Production (million cubic feet) Gross Withdrawals From Gas Wells................................................ 1,484,269 1,484,856 1,432,966 1,391,916 1,397,934 From Oil Wells.................................................. 229,437 227,534 222,940 224,263 246,804 Total................................................................... 1,713,706 1,712,390 1,655,906 1,616,179 1,644,738 Repressuring ...................................................... 15,280 20,009 20,977 9,817 8,674 Vented and Flared.............................................. 3,130 3,256 2,849 2,347 3,525 Wet After Lease Separation................................

344

Title, Location, Document Number Estimated Cost Description  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed

345

Case Numbers: TBH-0087, TBZ-0087  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

January 22, 2010 January 22, 2010 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Motion to Dismiss Name of Case: David P. Sanchez Dates of Filing: October 30, 2009 December 21, 2009 Case Numbers: TBH-0087 TBZ-0087 This Decision will consider a Motion to Dismiss filed by Los Alamos National Laboratory ("LANL" or "the Respondent"). LANL seeks dismissal of a pending complaint filed by David P. Sanchez ("Mr. Sanchez" or "the Complainant") against his employer, Los Alamos National Security, L. L. C. ("LANS"), 1 on October 30, 2009, under the Department of Energy's (DOE) Contractor Employee Protection Program, set for that 10 C.F.R. Part 708. OHA has assigned Mr. Sanchez' hearing request Case No. TBH-0087, and the present Motion to Dismiss Case No.

346

U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of  

Gasoline and Diesel Fuel Update (EIA)

Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 62 63 59 63 58 61 59 63 62 65 2001 61 61 63 65 64 60 58 56 54 58 59 58 2002 54 57 54 50 51 50 52 50 56 57 50 43 2003 40 41 41 40 38 39 41 43 39 39 38 42 2004 43 45 45 45 44 49 48 49 48 48 49 50 2005 52 53 51 50 55 57 54 55 56 57 57 58 2006 55 57 59 58 58 57 66 62 63 64 65 64 2007 63 63 68 71 70 69 69 71 73 77 79 75 2008 76 77 75 72 73 73 72 72 NA 77 72 73 2009 75 76 72 70 65 60 61 60 60 63 62 63 2010 64 65 63 66 67 67 67 65 64 62 62 62

347

Number of Producing Gas Wells (Summary)  

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

Count) Count) Data Series: Wellhead Price Imports Price Price of Imports by Pipeline Price of LNG Imports Exports Price Price of Exports by Pipeline Price of LNG Exports Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period:

348

FLINT Fast Library for Number Theory  

E-Print Network (OSTI)

FLINT is a C library of functions for doing number theory. It is highly optimised and can be compiled on numerous platforms. FLINT also has the aim of providing support for multicore and multiprocessor computer architectures, though we do not yet provide this facility. FLINT is currently maintained by William Hart of Warwick University in the UK. Its main authors are William Hart, Sebastian Pancratz, Fredrik Johannson, Andy Novocin and David Harvey (no longer active). FLINT 2 and following should compile on any machine with GCC and a standard GNU toolchain, however it is specially optimized for x86 (32 and 64 bit) machines. As of version 2.0 FLINT required GCC version 2.96 or later, MPIR 2.1.1 or later and MPFR 3.0.0 or later. FLINT is supplied as a set of modules, fmpz, fmpz_poly, etc., each of which can be linked to a C program making use of their functionality. All of the functions in FLINT have a corresponding test function provided in an appropriately named test le. For example, the function fmpz_poly_add located in fmpz_poly/add.c has test code in the le fmpz_poly/test/t-add.c.

William Hart; *Fredrik Johansson; Sebastian Pancratz

2011-01-01T23:59:59.000Z

349

About the logic of the prime number distribution  

E-Print Network (OSTI)

There are two basic number sequences which play a major role in the prime number distribution. The first Number Sequence SQ1 contains all prime numbers of the form 6n+5 and the second Number Sequence SQ2 contains all prime numbers of the form 6n+1. All existing prime numbers seem to be contained in these two number sequences, except of the prime numbers 2 and 3. Riemanns Zeta Function also seems to indicate, that there is a logical connection between the mentioned number sequences and the distribution of prime numbers. This connection is indicated by lines in the diagram of the Zeta Function, which are formed by the points s where the Zeta Function is real. Another key role in the distribution of the prime numbers plays the number 5 and its periodic occurrence in the two number sequences SQ1 and SQ2. All non-prime numbers in SQ1 and SQ2 are caused by recurrences of these two number sequences with increasing wave-lengths in themselves, in a similar fashion as Overtones (harmonics) or Undertones derive from a fundamental frequency. On the contrary prime numbers represent spots in these two basic Number Sequences SQ1 and SQ2 where there is no interference caused by these recurring number sequences. The distribution of the non-prime numbers and prime numbers can be described in a graphical way with a -Wave Model- (or Interference Model) -- see Table 2.

Harry K. Hahn

2008-01-28T23:59:59.000Z

350

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

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

Gas and Gas Condensate Wells (Number of Elements) 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...

351

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

Gasoline and Diesel Fuel Update (EIA)

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

352

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

Gasoline and Diesel Fuel Update (EIA)

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

353

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

Gasoline and Diesel Fuel Update (EIA)

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

354

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

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

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

355

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

Annual Energy Outlook 2012 (EIA)

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...

356

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

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

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

357

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

Gasoline and Diesel Fuel Update (EIA)

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

358

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

Annual Energy Outlook 2012 (EIA)

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

359

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

Gasoline and Diesel Fuel Update (EIA)

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

360

New Mexico Natural Gas Number of Underground Storage Depleted...  

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

Depleted Fields Capacity (Number of Elements) New Mexico Natural Gas Number of Underground Storage Depleted Fields Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

New Mexico Natural Gas Number of Residential Consumers - Sales...  

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

Sales (Number of Elements) New Mexico Natural Gas Number of Residential Consumers - Sales (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

362

New Mexico Natural Gas Number of Commercial Consumers - Sales...  

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

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

363

New Mexico Natural Gas Number of Residential Consumers - Transported...  

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

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

364

New Mexico Natural Gas Number of Commercial Consumers - Transported...  

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

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

365

New Mexico Natural Gas Number of Underground Storage Acquifers...  

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

Acquifers Capacity (Number of Elements) New Mexico Natural Gas Number of Underground Storage Acquifers Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

366

New Mexico Natural Gas Number of Industrial Consumers - Sales...  

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

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

367

New Mexico Natural Gas Number of Industrial Consumers - Transported...  

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

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

368

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

U.S. Energy Information Administration (EIA)

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

369

Number of Marketers Serving Residential Customers, December 2002  

U.S. Energy Information Administration (EIA)

Number of Marketers Serving Residential Customers, December 2002. State/District *Total Marketers ... Gives number of marketers but no names: Georgia: 10: 10:

370

Property:NEPA FundingNumber | Open Energy Information  

Open Energy Info (EERE)

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

371

Local Energy Assurance Planning: Map of States with Number of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

States with Number of Cities Selected Local Energy Assurance Planning: Map of States with Number of Cities Selected Map of the United States identifying the States with cities...

372

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

Open Energy Info (EERE)

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

373

Property:ASHRAE 169 Climate Zone Number | Open Energy Information  

Open Energy Info (EERE)

Number Number Jump to: navigation, search This is a property of type Page. Pages using the property "ASHRAE 169 Climate Zone Number" Showing 25 pages using this property. (previous 25) (next 25) A Abbeville County, South Carolina ASHRAE 169-2006 Climate Zone + Climate Zone Number 3 + Acadia Parish, Louisiana ASHRAE 169-2006 Climate Zone + Climate Zone Number 2 + Accomack County, Virginia ASHRAE 169-2006 Climate Zone + Climate Zone Number 4 + Ada County, Idaho ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Iowa ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Kentucky ASHRAE 169-2006 Climate Zone + Climate Zone Number 4 + Adair County, Missouri ASHRAE 169-2006 Climate Zone + Climate Zone Number 5 + Adair County, Oklahoma ASHRAE 169-2006 Climate Zone + Climate Zone Number 3 +

374

An improved ranking method for fuzzy numbers with integral values  

Science Conference Proceedings (OSTI)

Ranking fuzzy numbers is a very important decision-making procedure in decision analysis and applications. The last few decades have seen a large number of approaches investigated for ranking fuzzy numbers, yet some of these approaches are non-intuitive ... Keywords: Index of optimism, Integral value, Ranking fuzzy numbers

Vincent F. Yu, Luu Quoc Dat

2014-01-01T23:59:59.000Z

375

72 Los Alamos Science Number 24 1996 Russian Federation  

E-Print Network (OSTI)

inspection by signing the Nu- clear Nonproliferation Treaty (NPT). However, a number of states, as well

376

Property:NumberOfEZFeedDsirePolicies | Open Energy Information  

Open Energy Info (EERE)

NumberOfEZFeedDsirePolicies NumberOfEZFeedDsirePolicies Jump to: navigation, search Property Name NumberOfEZFeedDsirePolicies Property Type Number Description Number for query that includes EZ policies and DSIRE entries. Populated from Template:StatisticsForPlace Pages using the property "NumberOfEZFeedDsirePolicies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 +

377

Scale Free Analysis and the Prime Number Theorem  

E-Print Network (OSTI)

We present an elementary proof of the prime number theorem. The relative error follows a golden ratio scaling law and respects the bound obtained from the Riemann's hypothesis. The proof is derived in the framework of a scale free nonarchimedean extension of the real number system exploiting the concept of relative infinitesimals introduced recently in connection with ultrametric models of Cantor sets. The extended real number system is realized as a completion of the field of rational numbers $Q$ under a {\\em new} nonarchimedean absolute value, which treats arbitrarily small and large numbers separately from a finite real number.

Dhurjati Prasad Datta; Anuja Roy Choudhuri

2010-01-10T23:59:59.000Z

378

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

DOE Green Energy (OSTI)

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

NONE

1998-01-14T23:59:59.000Z

379

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

DOE Green Energy (OSTI)

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

NONE

1998-01-14T23:59:59.000Z

380

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

U.S. Energy Information Administration (EIA)

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:

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

ORISE: Report shows number of health physics degrees for 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

ORISE report shows number of health physics degrees increased for graduates, decreased for undergraduates in 2010 Decreased number of B.S. degrees remains higher than levels in the...

382

Montana Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Montana Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

383

Utah Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Utah Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

384

Virginia Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Virginia Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

385

Kansas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Kansas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

386

Alabama Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Alabama Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

387

Michigan Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Michigan Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

388

Maryland Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Maryland Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

389

Arkansas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Arkansas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

390

Iowa Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Iowa Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

391

Colorado Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Colorado Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

392

Illinois Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Illinois Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

393

Nebraska Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Nebraska Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

394

Texas Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Texas Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

395

Ohio Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Ohio Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

396

Missouri Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Missouri Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

397

Oklahoma Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Oklahoma Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

398

Indiana Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Indiana Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

399

Wyoming Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Wyoming Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

400

Oregon Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Oregon Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Kentucky Natural Gas Count of Underground Storage Capacity (Number...  

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

Count of Underground Storage Capacity (Number of Elements) Kentucky Natural Gas Count of Underground Storage Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

402

Property:NumberOfMeasuringStations | Open Energy Information  

Open Energy Info (EERE)

Property Edit with form History Facebook icon Twitter icon Property:NumberOfMeasuringStations Jump to: navigation, search This is a property of type Number. Pages using the...

403

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

U.S. Energy Information Administration (EIA)

Mississippi Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's:

404

HYPERPERFECT NUMBERS WITH FIVE AND SIX DIFFERENT PRIME FACTORS  

E-Print Network (OSTI)

A natural number N is hyperperfect if there exists an integer k such that N ?1 = k[?(N)? N ? 1], where ?(N) is the sum of the positive divisors of N. The classical perfect numbers are hyperperfect numbers corresponding to k = 1. In this paper we exhibit several hyperperfect numbers with five different prime factors and the first known hyperperfect number with six different prime factors. A natural number N is said to be hyperperfect if there exists an integer k such that N ? 1 = k[?(N) ? N ? 1], where ?(N) is the sum of the positive divisors of N. The ordinary perfect numbers, for which ?(N) = 2 · N, correspond to the case where k = 1. Hyperperfect numbers have been studied by Minoli [2], [3], [4], Bear [2], te Riele [6], [7], [8], McCranie, [1], and Nash [5]. Several examples have been found of hyperperfect numbers with two, three and four different prime factors and one such number with five different prime factors was discovered be te Riele [8]. In this paper we include some new hyperperfect numbers with five different prime factors and the first known example with six different prime factors as well. These numbers were

Mariano Garcia

2002-01-01T23:59:59.000Z

405

A preconditioned method for rotating flows at arbitrary mach number  

Science Conference Proceedings (OSTI)

An improved preconditioning is proposed for viscous flow computations in rotating and nonrotating frames at arbitrary Mach numbers. The key to the current method is the use of both free stream Mach number and rotating Mach number to construct a preconditioning ...

Chunhua Sheng

2011-01-01T23:59:59.000Z

406

Property:NumberOfIncentives | Open Energy Information  

Open Energy Info (EERE)

NumberOfIncentives NumberOfIncentives Jump to: navigation, search Property Name NumberOfIncentives Property Type Number Pages using the property "NumberOfIncentives" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

407

Property:NumberOfUtilityCompanies | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:NumberOfUtilityCompanies Jump to: navigation, search Property Name NumberOfUtilityCompanies Property Type Number Description Number of Utility Companies. Pages using the property "NumberOfUtilityCompanies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 +

408

Property:NumberOfEZFeedPolicies | Open Energy Information  

Open Energy Info (EERE)

NumberOfEZFeedPolicies NumberOfEZFeedPolicies Jump to: navigation, search Property Name NumberOfEZFeedPolicies Property Type Number Pages using the property "NumberOfEZFeedPolicies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

409

Number fluctuations of cold, spatially split bosonic objects  

Science Conference Proceedings (OSTI)

We investigate the number fluctuations of spatially split many-boson systems employing a theorem about the maximally and minimally attainable variances of an observable. The number fluctuations of many-boson systems are given for different numbers of lattice sites and both mean-field and many-body wave functions. It is shown which states maximize the particle number fluctuations, both in lattices and double wells. The fragmentation of the states is discussed, and it is shown that the number fluctuations of some fragmented states are identical to those of fully condensed states.

Sakmann, Kaspar; Streltsov, Alexej I.; Cederbaum, Lorenz S. [Theoretische Chemie, Physikalisch-Chemisches Institut, Universitaet Heidelberg, Im Neuenheimer Feld 229, D-69120 Heidelberg (Germany); Alon, Ofir E. [Department of Physics, University of Haifa at Oranim, Tivon 36006 (Israel)

2011-11-15T23:59:59.000Z

410

ISOTOPE FRACTIONATION Isotopes are atoms whose nuclei contain the same number of protons but a different number of neutrons. The  

E-Print Network (OSTI)

for the utilization of stable isotopes in geology, geochemistry, biogeochemistry, paleoceanography and elsewhere____________________________ ISOTOPE FRACTIONATION ____________________________ Isotopes are atoms whose nuclei contain the same number of protons but a different number of neutrons. The term `isotope

Zeebe, Richard E.

411

Property:NumberOfEmployees | Open Energy Information  

Open Energy Info (EERE)

NumberOfEmployees NumberOfEmployees Jump to: navigation, search Property Name NumberOfEmployees Property Type Number Description The number of employees in a company or organization. This is a property of type Number. Subproperties This property has the following 10 subproperties: A American Electric Power Co., Inc. B BMW D Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH G General Electric S Saudi Aramco T Texas Department of Transportation The Hartford V Veolia Energy W World Bank X Xcel Energy Pages using the property "NumberOfEmployees" Showing 25 pages using this property. (previous 25) (next 25) 2 21-Century Silicon, Inc. + 11 + 3 3Degrees + 51 + 3TIER + 51 + 5 5 boro biofuel + 11 + A A.O. Smith + 10,000 + A1 Sun, Inc. + 1 + A10 Power + 1 + AAON + 1,001 +

412

T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

05: Linux Kernel Weakness in Sequence Number Generation 05: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks T-705: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks August 30, 2011 - 3:46am Addthis PROBLEM: A remote user can conduct packet injection attacks. PLATFORM: Linux Kernel ABSTRACT: Linux Kernel Weakness in Sequence Number Generation Facilitates Packet Injection Attacks. reference LINKS: SecurityTracker Alert ID: 1025977 CVE-2011-3188 (under review) The Linux Kernel Archives IMPACT ASSESSMENT: Medium Discussion: A vulnerability was reported in the Linux Kernel. A remote user can conduct packet injection attacks. The kernel's sequence number generation function uses partial MD4 with 24-bits unguessable. A remote user may be able to brute-force guess a valid sequence number to inject a packet into a

413

Property:GRR/SubsectionElementNumber | Open Energy Information  

Open Energy Info (EERE)

SubsectionElementNumber SubsectionElementNumber Jump to: navigation, search Property Name GRR/SubsectionElementNumber Property Type Number Description The subsection element number of an element in the Geothermal Regulatory Roadmap. The value of this property is derived automatically by the element template and is used in sorting elements within a section. Pages using the property "GRR/SubsectionElementNumber" Showing 25 pages using this property. (previous 25) (next 25) G GRR/Elements/14-CA-b.1 - NPDES Permit Application + 1 + GRR/Elements/14-CA-b.10 - Did majority of RWQCB approve the permit + 10 + GRR/Elements/14-CA-b.11 - EPA Review of Adopted Permit + 11 + GRR/Elements/14-CA-b.12 - Were all EPA objections resolved + 12 + GRR/Elements/14-CA-b.13 - NPDES Permit issued + 13 +

414

Property:GRR/SectionNumber | Open Energy Information  

Open Energy Info (EERE)

SectionNumber SectionNumber Jump to: navigation, search Property Name GRR/SectionNumber Property Type Number Description The section number of a section in the Geothermal Regulatory Roadmap. The value of this property is derived automatically by the section template and is used in sorting sections on the GRR Home page. Subproperties This property has the following 2 subproperties: G GRR/Section 6-HI-d - Oversize and/or Overweight Vehicles and Loads Permit GRR/Section 7 - Power Plant Siting/Construction Overview Pages using the property "GRR/SectionNumber" Showing 25 pages using this property. (previous 25) (next 25) G GRR/Section 1 - Land Use Overview + 1 + GRR/Section 1-AK-a - Land Use Considerations + 1 + GRR/Section 1-CA-a - State Land Use Planning + 1 +

415

Generating Multivariate Nonnormal Distribution Random Numbers Based on Copula Function  

E-Print Network (OSTI)

Abstract. Random numbers of multivariate nonnormal distribution are strongly requested by the area of theoretic research and application in practice. A new algorithm of generating multivariate nonnormal distribution random numbers is given based on the Copula function, and theoretic analysis suggests that the algorithm is suitable to be feasible. Furthermore, simulation shows that the empirical distribution which is formed by random numbers generating from the proposed algorithm can well approach the original distribution.

Xiaoping Hu; Jianmin He; Hongsheng Ly

2006-01-01T23:59:59.000Z

416

Property:NumberOfCompanies | Open Energy Information  

Open Energy Info (EERE)

NumberOfCompanies NumberOfCompanies Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfCompanies" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 1 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 + Aberdeen, North Carolina + 0 +

417

Property:NumberOfNonCorporateOrganizations | Open Energy Information  

Open Energy Info (EERE)

NumberOfNonCorporateOrganizations NumberOfNonCorporateOrganizations Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfNonCorporateOrganizations" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 0 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 +

418

Property:NumberOfOrganizations | Open Energy Information  

Open Energy Info (EERE)

NumberOfOrganizations NumberOfOrganizations Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfOrganizations" Showing 25 pages using this property. (previous 25) (next 25) A Aaronsburg, Pennsylvania + 0 + Abbeville County, South Carolina + 0 + Abbeville, Alabama + 0 + Abbeville, Georgia + 0 + Abbeville, Louisiana + 0 + Abbeville, Mississippi + 0 + Abbeville, South Carolina + 0 + Abbot, Maine + 0 + Abbotsford, Australia + 1 + Abbotsford, Wisconsin + 0 + Abbott, Texas + 0 + Abbottstown, Pennsylvania + 0 + Abbyville, Kansas + 0 + Abercrombie, North Dakota + 0 + Aberdeen Gardens, Washington + 0 + Aberdeen Proving Ground, Maryland + 0 + Aberdeen, Idaho + 0 + Aberdeen, Maryland + 0 + Aberdeen, Mississippi + 0 + Aberdeen, North Carolina + 0 +

419

Navigating the Numbers: Greenhouse Gas Data and International...  

Open Energy Info (EERE)

Tool Summary Name: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy AgencyCompany Organization: World Resources Institute Sector: Energy, Land...

420

Number, Energy Consumption, and Energy-Related Carbon ...  

U.S. Energy Information Administration (EIA)

Tabulation of changes in the number, energy consumption, and energy-related carbon emissions of U.S. households, 1980-1997.

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Request for Proposals Number RHB-3-23115  

NLE Websites -- All DOE Office Websites (Extended Search)

9 National Renewable Energy Laboratory Managed and Operated by the Alliance for Sustainable Energy, LLC Request for Proposals Number RHB-3-23115 "Construction Project Management...

422

Site: Contract Name: Contractor: Contract Number: Contract Type...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Contract Name: Contractor: Contract Number: Contract Type: Total Estimated Contract Cost: Contract Period: Minimum Fee Maximum Fee Performance Period Fee Available Total Fee Paid...

423

Alterations in mitochondrial gene copy numbers following irradiation...  

NLE Websites -- All DOE Office Websites (Extended Search)

Alterations in mitochondrial gene copy numbers following irradiation in radiosensitive mice Sumita Raha Northwestern University Abstract We have developed a quantitative real-time...

424

Alterations in mitochondrial gene copy numbers following irradiation...  

NLE Websites -- All DOE Office Websites (Extended Search)

Alterations in mitochondrial gene copy numbers following irradiation in radiosensitive mice. Sumita Raha, Qiong Wang, Emily Mirkin, M. Beau Wanzer, Tatjana Paunesku and Gayle...

425

Federal Register Volume 64 Number 14; Friday, January 22, 1999  

Energy.gov (U.S. Department of Energy (DOE))

This document is a FEMP rulemaking excerpt from the January 22, 1999, issue of the Federal Register - Volume 64 Number 14.

426

Procedure for MOUs Between Fermilab & Foreign SUBJECT NUMBER ...  

SUBJECT: Procedure for MOUs Between Fermilab & Foreign Partners NUMBER: 4501 RESPONSIBILITY: Fermilab Chief Operating Officer REVISION: 01 APPROVED BY: Fermilab Chief ...

427

Traveling Salesman Problem Formulations with $N \\log N$ Number ...  

E-Print Network (OSTI)

Feb 13, 2013 ... Traveling Salesman Problem Formulations with $N \\log N$ Number of Binary Variables. Thomas A. Pogiatzis(tp309 ***at*** cam.ac.uk)

428

Social Security Number Reduction Project | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

regarding acceptable uses of the Social Security Number (SSN). PA09BASELINEINVENTORY.xls More Documents & Publications DOE Guidance on the Use of the SSN Occupational...

429

EIA Renewable Energy- Number of Companies Involved in Photovoltaic ...  

U.S. Energy Information Administration (EIA)

Renewable data table showing the number of companies involved with cell manufacturing, module/system design, prototype module and systems development, wholesale ...

430

Universal Characteristics of Fractal Fluctuations in Prime Number Distribution  

E-Print Network (OSTI)

The frequency of occurrence of prime numbers at unit number spacing intervals exhibits selfsimilar fractal fluctuations concomitant with inverse power law form for power spectrum generic to dynamical systems in nature such as fluid flows, stock market fluctuations, population dynamics, etc. The physics of long-range correlations exhibited by fractals is not yet identified. A recently developed general systems theory visualises the eddy continuum underlying fractals to result from the growth of large eddies as the integrated mean of enclosed small scale eddies, thereby generating a hierarchy of eddy circulations, or an inter-connected network with associated long-range correlations. The model predictions are as follows: (i) The probability distribution and power spectrum of fractals follow the same inverse power law which is a function of the golden mean. The predicted inverse power law distribution is very close to the statistical normal distribution for fluctuations within two standard deviations from the mean of the distribution. (ii) Fractals signify quantumlike chaos since variance spectrum represents probability density distribution, a characteristic of quantum systems such as electron or photon. (ii) Fractal fluctuations of frequency distribution of prime numbers signify spontaneous organisation of underlying continuum number field into the ordered pattern of the quasiperiodic Penrose tiling pattern. The model predictions are in agreement with the probability distributions and power spectra for different sets of frequency of occurrence of prime numbers at unit number interval for successive 1000 numbers. Prime numbers in the first 10 million numbers were used for the study.

A. M. Selvam

2008-11-12T23:59:59.000Z

431

Responding to consumer fairness concerns about Number Portability policies  

Science Conference Proceedings (OSTI)

Mobile telecommunication has been growing very rapidly, surpassing the number of land lines in 2002. Competition between telecommunication companies is very intense. However, in some market segments, the indirect costs of changing carriers may reduce ... Keywords: Leventhal criteria, consumer fairness, customer loyalty, good will, mobile communications, mobile number portability, procedural justice, telecommunications

Jengchung V. Chen; William H. Ross; Shaoyu F. Huang

2007-06-01T23:59:59.000Z

432

NUMBER: BUSF 4.12 SECTION: Finance and Planning  

E-Print Network (OSTI)

by an unusually large number of other persons opening accounts or by other Customers. 16. The person opening1 NUMBER: BUSF 4.12 SECTION: Finance and Planning SUBJECT: University Identity Theft and Detection of the account. 3. "Customer" means a person that has a Covered Account with the University. 4. "Identity Theft

Almor, Amit

433

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE  

E-Print Network (OSTI)

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT Contract Number: #500 GAS PIPELINE ASSESSMENT #50010050 Legal Notice This information was prepared by Gas Technology;CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT #50010050 Task 3Summary Report AssessmentofCurrentlyAvailablePipeline

434

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE  

E-Print Network (OSTI)

GTI PROJECT NUMBER 21222 CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT Contract Number: #500 GAS PIPELINE ASSESSMENT #500-10-050 Legal Notice This information was prepared by Gas Technology;CALIFORNIA NATURAL GAS PIPELINE ASSESSMENT #500-10-050 Baseline Technology Assessment for Pipeline Integrity

435

Class Permission Numbers Instructor/Department Consent Required classes  

E-Print Network (OSTI)

into the search fields to find the correct class. Academic Institution = KCITY Term: (use the magnifying glass/13/2009 9:38 AM Page 1 Records and Enrollment > Term Processing > Class Permissions > Class Permission Numbers When a class requires department or instructor consent, you must enter a student's ID number

Zeng, Yong - Department of Mathematics and Statistics, University of Missouri

436

Decoherence of number states in phase-sensitive reservoirs  

E-Print Network (OSTI)

The non-unitary evolution of initial number states in general Gaussian environments is solved analytically. Decoherence in the channels is quantified by determining explicitly the purity of the state at any time. The influence of the squeezing of the bath on decoherence is discussed. The behavior of coherent superpositions of number states is addressed as well.

Alessio Serafini; Fabrizio Illuminati; Silvio De Siena

2003-01-01T23:59:59.000Z

437

The distribution of prime numbers on the square root spiral  

E-Print Network (OSTI)

Prime Numbers clearly accumulate on defined spiral graphs,which run through the Square Root Spiral. These spiral graphs can be assigned to different spiral-systems, in which all spiral-graphs have the same direction of rotation and the same -second difference- between the numbers, which lie on these spiral-graphs. A mathematical analysis shows, that these spiral graphs are caused exclusively by quadratic polynomials. For example the well known Euler Polynomial x2+x+41 appears on the Square Root Spiral in the form of three spiral-graphs, which are defined by three different quadratic polynomials. All natural numbers,divisible by a certain prime factor, also lie on defined spiral graphs on the Square Root Spiral (or Spiral of Theodorus, or Wurzelspirale). And the Square Numbers 4, 9, 16, 25, 36 even form a highly three-symmetrical system of three spiral graphs, which divides the square root spiral into three equal areas. Fibonacci number sequences also play a part in the structure of the Square Root Spiral. With the help of the Number-Spiral, described by Mr. Robert Sachs, a comparison can be drawn between the Square Root Spiral and the Ulam Spiral. The shown sections of his study of the number spiral contain diagrams, which are related to my analysis results, especially in regards to the distribution of prime numbers.

Harry K. Hahn; Robert Sachs

2008-01-09T23:59:59.000Z

438

Navigating the Numbers: Greenhouse Gas Data and International Climate  

Open Energy Info (EERE)

Navigating the Numbers: Greenhouse Gas Data and International Climate Navigating the Numbers: Greenhouse Gas Data and International Climate Policy Jump to: navigation, search Tool Summary Name: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy Agency/Company /Organization: World Resources Institute Sector: Energy, Land Topics: Co-benefits assessment, GHG inventory, Policies/deployment programs Resource Type: Publications Website: pdf.wri.org/navigating_numbers.pdf References: Navigating the Numbers: Greenhouse Gas Data and International Climate Policy[1] Overview "This report examines greenhouse gas (GHG) emissions at the global, national, sectoral, and fuel levels and identifies implications of the data for international cooperation on global climate change. Emissions are assessed within the broader socioeconomic context faced by countries,

439

Property:NumberOfSolarResources | Open Energy Information  

Open Energy Info (EERE)

NumberOfSolarResources NumberOfSolarResources Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfSolarResources" Showing 25 pages using this property. (previous 25) (next 25) A Afghanistan + 1 + Albania + 0 + Algeria + 1 + Andorra + 0 + Angola + 0 + Anguilla + 0 + Antigua and Barbuda + 0 + Argentina + 2 + Armenia + 0 + Aruba + 0 + Australia + 0 + Austria + 0 + Azerbaijan + 0 + B Bahamas + 0 + Bahrain + 0 + Bangladesh + 0 + Barbados + 0 + Belarus + 0 + Belgium + 0 + Belize + 0 + Benin + 0 + Bermuda + 0 + Bhutan + 2 + Bolivia + 0 + Bosnia and Herzegovina + 0 + (previous 25) (next 25) Retrieved from "http://en.openei.org/w/index.php?title=Property:NumberOfSolarResources&oldid=313617#SMWResults" What links here

440

ARM - Evaluation Product - Droplet Number Concentration Value-Added Product  

NLE Websites -- All DOE Office Websites (Extended Search)

ProductsDroplet Number Concentration Value-Added ProductsDroplet Number Concentration Value-Added Product Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Droplet Number Concentration Value-Added Product 2005.01.01 - 2010.12.30 Site(s) SGP General Description Cloud droplet number concentration is an important factor in understanding aerosol-cloud interactions. As aerosol concentration increases, it is expected that droplet number concentration, Nd, will increase and droplet size decrease, for a given liquid water path (Twomey 1977), which will greatly affect cloud albedo as smaller droplets reflect more shortwave radiation. However, the magnitude and variability of these processes under different environmental conditions is still uncertain. McComiskey et al.

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Property:NumberOfResourceAssessmentsEnergy | Open Energy Information  

Open Energy Info (EERE)

NumberOfResourceAssessmentsEnergy NumberOfResourceAssessmentsEnergy Jump to: navigation, search This is a property of type Number. Pages using the property "NumberOfResourceAssessmentsEnergy" Showing 25 pages using this property. (previous 25) (next 25) A Afghanistan + 1 + Albania + 0 + Algeria + 1 + Andorra + 0 + Angola + 0 + Anguilla + 0 + Antigua and Barbuda + 1 + Argentina + 0 + Armenia + 1 + Aruba + 0 + Australia + 3 + Austria + 0 + Azerbaijan + 0 + B Bahamas + 1 + Bahrain + 0 + Bangladesh + 1 + Barbados + 1 + Belarus + 0 + Belgium + 0 + Belize + 2 + Benin + 0 + Bermuda + 0 + Bhutan + 0 + Bolivia + 1 + Bosnia and Herzegovina + 0 + (previous 25) (next 25) Retrieved from "http://en.openei.org/w/index.php?title=Property:NumberOfResourceAssessmentsEnergy&oldid=314431

442

Phone Numbers for Beam Lines and Other Services | Stanford Synchrotron  

NLE Websites -- All DOE Office Websites (Extended Search)

Phone Numbers for Beam Lines and Other Services Phone Numbers for Beam Lines and Other Services The local area code for SSRL is 650. All numbers listed below should be dialed as 650-926-xxxx from other area codes. When calling an onsite location from within SSRL simply dial the 4-digit extension. When calling an offsite number within the 650 area code dial, dial 9 plus the 7-digit number. To call a number in another area code dial 9-1-area code - phone number. Beam Lines Beam Line Extension 1-4 5214 1-5 5215 2-1 5221 2-2 5222 2-3 5223 3-3 5233 3-4 5234 4-1 5241 4-2 5242 4-3 5243 5-2 5252 5-3 5253 5-4 5254 6-2 5262 7-1 5271 7-2 5272 7-3 5273 8-1 5281 8-2 5282 9-1 5291 9-2 5292 9-3 5293 10-1 5101 10-2 5102 11-1 8648 11-2 8650 11-3 8656 12-2 5212 13-1 5131 13-2 5132 13-3 5133 User Labs/Services Building Lab/Service Extension

443

Table B15. Number of Establishments in Building, Floorspace, 1999  

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

5. Number of Establishments in Building, Floorspace, 1999" 5. Number of Establishments in Building, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","Number of Establishments in Building" ,,"One","Two to Five","Six to Ten","Eleven to Twenty","More than Twenty","Currently Unoccupied" "All Buildings ................",67338,43343,10582,3574,3260,4811,1769 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,5358,857,"Q","Q","Q",512 "5,001 to 10,000 ..............",8238,5952,1630,137,"Q","Q","Q" "10,001 to 25,000 .............",11153,7812,1982,784,"Q","Q",296

444

ORISE: Report shows number of health physics degrees for 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

report shows number of health physics degrees increased for report shows number of health physics degrees increased for graduates, decreased for undergraduates in 2010 Decreased number of B.S. degrees remains higher than levels in the early 2000 FOR IMMEDIATE RELEASE Dec. 20, 2011 FY12-09 OAK RIDGE, Tenn.-The number of health physics graduate degrees increased for both master's and doctoral candidates in 2010, but decreased for bachelor's degrees, says a report released this year by the Oak Ridge Institute for Science and Education. The ORISE report, Health Physics Enrollments and Degrees Survey, 2010 Data, surveyed 24 academic programs with enrollment and degree data and included students majoring in health physics or in an option program equivalent to a major, such as other health physics-based programs embedded in life

445

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

About Energy.gov » Mailing Addresses and Information Numbers for About Energy.gov » Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Mailing Addresses and Information Numbers for Operations, Field, and Site Offices Name Telephone Number U.S. Department of Energy Ames Site Office 111 TASF, Iowa State University Ames, Iowa 50011 515-294-9557 U.S. Department of Energy Argonne Site Office 9800 S. Cass Avenue Argonne, IL 60439 630-252-2000 U.S. Department of Energy Berkeley Site Office Berkeley National Laboratory 1 Cyclotron Road Berkeley, CA 94720 510-486-5784 U.S. Department of Energy Bonneville Power Administration P.O. Box 3621 905 NE 11th Avenue Portland, OR 97232 Bonneville Power Administration General and Regional Offices 503-230-3000 U.S. Department of Energy Brookhaven Site Office Upton, NY 11973 631-344-5050

446

A Cryptographically Secure Random Number G enerator for ... - CECM  

E-Print Network (OSTI)

*The work was supported by the MI T ACS NCE o f C a n ada . 1. Page 2. 1 Introduction. Definition 1.1 A pseudo random number generator, PRNG for short, is a.

447

Chern numbers hiding in time-of-flight images  

SciTech Connect

We present a technique for detecting topological invariants--Chern numbers--from time-of-flight images of ultracold atoms. We show that the Chern numbers of integer quantum Hall states of lattice fermions leave their fingerprints in the atoms' momentum distribution. We analytically demonstrate that the number of local maxima in the momentum distribution is equal to the Chern number in two limiting cases, for large hopping anisotropy and in the continuum limit. In addition, our numerical simulations beyond these two limits show that these local maxima persist for a range of parameters. Thus, an everyday observable in cold atom experiments can serve as a useful tool to characterize and visualize quantum states with nontrivial topology.

Zhao Erhai; Satija, Indubala I. [School of Physics, Astronomy, and Computational Sciences, George Mason University, Fairfax, Virginia 22030 (United States); Joint Quantum Institute, National Institute of Standards and Technology and University of Maryland, Gaithersburg, Maryland 20899 (United States); Bray-Ali, Noah; Williams, Carl J.; Spielman, I. B. [Joint Quantum Institute, National Institute of Standards and Technology and University of Maryland, Gaithersburg, Maryland 20899 (United States)

2011-12-15T23:59:59.000Z

448

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

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

0. Employment Size Category, Number of Buildings, 1999" 0. Employment Size Category, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Number of Workers" ,,"Fewer than 5 Workers","5 to 9 Workers","10 to 19 Workers","20 to 49 Workers","50 to 99 Workers","100 to 249 Workers","250 or More Workers" "All Buildings ................",4657,2376,807,683,487,174,90,39 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,1567,482,226,66,"Q","Q","N" "5,001 to 10,000 ..............",1110,511,180,249,144,"Q","Q","N" "10,001 to 25,000 .............",708,250,105,146,157,46,"Q","Q"

449

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Record Number Attend EM's Science Alliance Record Number Attend EM's Science Alliance Record Number Attend EM's Science Alliance October 30, 2013 - 12:00pm Addthis A record 1,200 students and educators visited EM’s Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. A record 1,200 students and educators visited EM's Portsmouth Gaseous Diffusion Plant for the fourth annual Science Alliance. PIKETON, Ohio - More than 1,200 students and educators from 23 southern Ohio schools visited EM's Portsmouth Gaseous Diffusion Plant site for the fourth annual Science Alliance earlier this month. That is a record number of students and schools that participated in the science fair, which includes demonstrations related to science, technology, engineering and math (STEM) and provides the students with career

450

Property:NumberOfUnits | Open Energy Information  

Open Energy Info (EERE)

NumberOfUnits NumberOfUnits Jump to: navigation, search This is a property of type Number. Subproperties This property has the following 8 subproperties: B Black River Farm Solar Project H Hall's Warehouse Corp Solar Project L Lightning Dock Geothermal Facility S Sacramento Municipal Utility District Solar Array Sacramento Soleil Solar Project Salton Sea IV Geothermal Facility Sun Harvest Solar Project W Windy Flats Phase III Pages using the property "NumberOfUnits" Showing 25 pages using this property. (previous 25) (next 25) 3 3-D Metals + 1 + A AB Tehachapi Wind Farm + 31 + AFCEE MMR Turbines + 2 + AG Land 1 + 1 + AG Land 2 + 1 + AG Land 3 + 1 + AG Land 4 + 1 + AG Land 5 + 1 + AG Land 6 + 1 + AVTEC + 1 + Adair Wind Farm I + 1 + Adair Wind Farm II + 230 + Adams Wind Project + 12 +

451

P-adic Reconstruction of Rational Numbers - Computer Science  

E-Print Network (OSTI)

P-adic Reconstruction of Rational Numbers. Paul S. Wang*. Kent State University . Department of Mathematical Sciences. Kent. Ohio U.S.A.. 44242. M.J.T. Guy.

452

A Geometric Analysis of Renegar's Condition Number, and its ...  

E-Print Network (OSTI)

Apr 11, 2007 ... Herein we show that Renegar's condition number is bounded from above ... associated with C, where Y ? is the dual space of Y . C is said to be ...

453

Two properties of condition numbers for convex programs via ...  

E-Print Network (OSTI)

has to do with the growth of the condition numbers of the linear equations arising in ...... Endow the data space with a norm as follows: Let (A, b) be the operator ...

454

Conserved number fluctuations in a hadron resonance gas model  

E-Print Network (OSTI)

Net-baryon, net-charge and net-strangeness number fluctuations in high energy heavy-ion collisions are discussed within the framework of a hadron resonance gas (HRG) model. Ratios of the conserved number susceptibilities calculated in HRG are being compared to the corresponding experimental measurements to extract information about the freeze-out condition and the phase structure of systems with strong interactions. We emphasize the importance of considering the actual experimental acceptances in terms of kinematics (pseudorapidity ($\\eta$) and transverse momentum ($p_{T}$)), the detected charge state, effect of collective motion of particles in the system and the resonance decay contributions before comparisons are made to the theoretical calculations. In this work, based on HRG model, we report that the net-baryon number fluctuations are least affected by experimental acceptances compared to the net-charge and net-strangeness number fluctuations.

P. Garg; D. K. Mishra; P. K. Netrakanti; B. Mohanty; A. K. Mohanty; B. K. Singh; N. Xu

2013-04-26T23:59:59.000Z

455

Some ideas from the geometry of numbers - CECM  

E-Print Network (OSTI)

... are d-2 nonreal conjugates, where denotes not the discriminant of the field , but rather the discriminant of the order i.e., ... Then is a beta number (and hence ).

456

The non-commutative n-th Chern number.  

E-Print Network (OSTI)

The theory of the higher Chern numbers in the presence of strong disorder is developed. Sharp quantization and homotopy invariance conditions are provided. The relevance of the result to the field of strongly disordered topological insulators is discussed.

457

Traveling Salesman Problem Formulations with N log N Number of ...  

E-Print Network (OSTI)

time reducing the number of binary variables to O(N log2 N). The expense is the increase in the constraint set cardinality measuring at O(N2 log2 N), and in the ...

458

Champernowne's Number, Strong Normality, and the X ... - CECM  

E-Print Network (OSTI)

A number ? is simply normal in the base r if every 1-string in its .... The results for [ 0, 1) are extended to R in the same way. 5. .... Science and Applications), 1988.

459

Improving the Accuracy of Mapping Cyclone Numbers and Frequencies  

Science Conference Proceedings (OSTI)

The uncertainties associated with the mapping of cyclone numbers and frequencies are analyzed using the 42-yr winter climatology of cyclone tracks derived from 6-hourly NCEP–NCAR reanalysis. Tracking is performed using an automated procedure, ...

Olga Zolina; Sergey K. Gulev

2002-03-01T23:59:59.000Z

460

On the CRAY-System Random Number Generator  

E-Print Network (OSTI)

erator Karl Entacher University of Salzburg Department of Mathematics Salzburg, Austria E-mail: Karl.Entacher@sbg.ac.at We present a theoretical and empirical analysis of the quality of the CRAY-system random number generator RANF in parallel settings. Subsequences of this generator are used to obtain parallel streams of random numbers for each processor. We use the spectral test to analyze the quality of lagged subsequences of RANF with step sizes 2 , l 1, appropriate for CRAY systems. Our results demonstrate that with increasing l, the quality of lagged subsequences is strongly reduced in comparison to the original sequence. The results are supported by a numerical Monte Carlo integration study. We also use the spectral test to exhibit the well known longrange correlations between consecutive blocks of random numbers obtained from RANF. Keywords: Random number ge

Harl Entacher

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Using linear congruential generators for parallel random number generation  

Science Conference Proceedings (OSTI)

Linear congruential random number generators are widely used in simulation and Monte Carlo calculations. Because they are very fast, and because they have minimal state space, they remain attractive for use in parallel computing environments. We discuss ...

M. J. Durst

1989-10-01T23:59:59.000Z

462

Adaptive low Mach number simulations of nuclear flame microphysics  

Science Conference Proceedings (OSTI)

We introduce a numerical model for the simulation of nuclear flames in Type Ia supernovae. This model is based on a low Mach number formulation that analytically removes acoustic wave propagation while retaining the compressibility effects resulting ...

J. B. Bell; M. S. Day; C. A. Rendleman; S. E. Woosley; M. A. Zingale

2004-04-01T23:59:59.000Z

463

TTRDC - Publications - TransForum Volume 11 Number 1  

NLE Websites -- All DOE Office Websites (Extended Search)

Reducing Greenhouse Gas Emissions from U.S. Transportation ghg graph Reduction of GHG Emissions per Scenario. Larger image. Transportation is the number one cause of U.S. oil...

464

Debunching into a bucket of lower harmonic number  

SciTech Connect

The adiabatic debunching of beam from buckets of higher harmonic number into waiting buckets of lower harmonic number is a critical step in the current scheme of operation for Tev I. The optimum choice of rf system parameters for this ''bunch coalescing'' process is not immediately obvious. In this note two examples are presented along with generalizations based upon them and experience with the Tevatron I design which can simplify the selection of appropriate parameters for different conditions.

MacLachlan, J.A.; Griffin, J.E.

1987-12-09T23:59:59.000Z

465

See Behind the Numbers at WSU Tri-Cities  

Science Conference Proceedings (OSTI)

The enrollment numbers for WSU were released this week. The enrollment at the Tri-Cities campus remained flat, but these numbers do not tell the full story of WSU Tri-Cities and the many things we have to celebrate about our local campus. WSU Tri-Cities has gone through significant growth and change over the past several years and has fostered closer ties to its alumni, the community, region and state.

Fisher, Brad; Kluse, Michael; Novich, Carolynn M.

2011-09-18T23:59:59.000Z

466

The Stokes-Einstein Relation at Moderate Schmidt Number  

E-Print Network (OSTI)

The Stokes-Einstein relation for the self-diffusion coefficient of a spherical particle suspended in an incompressible fluid is an asymptotic result in the limit of large Schmidt number, that is, when momentum diffuses much faster than the particle. When the Schmidt number is moderate, which happens in most particle methods for hydrodynamics, deviations from the Stokes-Einstein prediction are expected. We study these corrections computationally using a recently-developed minimally-resolved method for coupling particles to an incompressible fluctuating fluid in both two and three dimensions. We find that for moderate Schmidt numbers the diffusion coefficient is reduced relative to the Stokes-Einstein prediction by an amount inversely proportional to the Schmidt number in both two and three dimensions. We find, however, that the Einstein formula is obeyed at all Schmidt numbers, consistent with linear response theory. The numerical data is in good agreement with an approximate self-consistent theory, which can be used to estimate finite-Schmidt number corrections in a variety of methods. Our results indicate that the corrections to the Stokes-Einstein formula come primarily from the fact that the particle itself diffuses together with the momentum. Our study separates effects coming from corrections to no-slip hydrodynamics from those of finite separation of time scales, allowing for a better understanding of widely observed deviations from the Stokes-Einstein prediction in particle methods such as molecular dynamics.

F. Balboa Usabiaga; X. Xie; R. Delgado-Buscalioni; A. Donev

2013-09-27T23:59:59.000Z

467

Parallel Streams of Linear Random Numbers in the Spectral Test  

E-Print Network (OSTI)

ing with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works, requires prior specific permission and/or a fee. Permissions may be requested from Publications Dept, ACM Inc., 1515 Broadway, New York, NY 10036 USA fax +1 (212) 869-0481, or permissions@acm.org. Parallel Streams of Linear Random Numbers in the Spectral Test Karl Entacher Austrian Science Fund (FWF projects no. P11143-MAT and P12441-MAT) This paper reports analyses of subsequences of linear congruential pseudorandom numbers by means of the spectral test. Such subsequences occur in particular simulation setups or as methods to obtain parallel streams of pseudorandom numbers for parallel and distributed simulation. Especially in the latter case, two kinds of sub-streams are of special interest: lagged random numbers with step sizes k, and consecutive streams of random numbers of length l. We show how to analyze correlations ...

Karl Entacher

1998-01-01T23:59:59.000Z

468

Adaptive low Mach number simulations of nuclear flame microphysics  

SciTech Connect

We introduce a numerical model for the simulation of nuclear flames in Type Ia supernovae. This model is based on a low Mach number formulation that analytically removes acoustic wave propagation while retaining the compressibility effects resulting from nuclear burning. The formulation presented here generalizes low Mach number models used in combustion that are based on an ideal gas approximation to the arbitrary equations of state such as those describing the degenerate matter found in stellar material. The low Mach number formulation permits time steps that are controlled by the advective time scales resulting in a substantial improvement in computational efficiency compared to a compressible formulation. We briefly discuss the basic discretization methodology for the low Mach number equations and their implementation in an adaptive projection framework. We present validation computations in which the computational results from the low Mach number model are compared to a compressible code and present an application of the methodology to the Landau-Darrieus instability of a carbon flame.

Bell, J.B.; Day, M.S.; Rendleman, C.A.; Woosley, S.E.; Zingale, M.A.

2003-03-20T23:59:59.000Z

469

IMPACT OF CAPILLARY AND BOND NUMBERS ON RELATIVE PERMEABILITY  

SciTech Connect

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

Kishore K. Mohanty

2002-09-30T23:59:59.000Z

470

Los Alamos National Laboratory attracts record number of students this  

NLE Websites -- All DOE Office Websites (Extended Search)

LANL attracts record number of students LANL attracts record number of students Los Alamos National Laboratory attracts record number of students this summer More than 1,300 students interned in both technical and nontechnical fields. September 7, 2010 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, sustainable energy sources, to plasma physics and new materials. 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, sustainable energy sources, to plasma physics and new materials. Contact Steve Sandoval

471

Turning Numbers into Knowledge: Mastering the Art of Problem Solving  

NLE Websites -- All DOE Office Websites (Extended Search)

Turning Numbers into Knowledge: Mastering the Art of Problem Solving Turning Numbers into Knowledge: Mastering the Art of Problem Solving Speaker(s): Jonathan Koomey Date: February 12, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: David Faulkner In this talk, Jonathan Koomey, Staff Scientist and Group Leader in the End-use Forecasting Group, will summarize key "tricks of the trade" summarized in his new book "Turning Numbers into Knowledge: Mastering the Art of Problem Solving". The book focuses on many lessons relevant to working effectively in the research world, including being prepared, creating appropriate documentation, doing back of the envelope calculations, and making good tables and graphs. For more details, check out the book's web site at: http://www.numbersintoknowledge.com

472

Table B8. Year Constructed, Number of Buildings, 1999  

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

B8. Year Constructed, Number of Buildings, 1999" B8. Year Constructed, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","Year Constructed" ,,"1919 or Before","1920 to 1945","1946 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999" "All Buildings ................",4657,419,499,763,665,774,846,690 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,227,270,359,321,367,413,390 "5,001 to 10,000 ..............",1110,107,102,240,166,193,156,145 "10,001 to 25,000 .............",708,63,90,97,84,130,179,65 "25,001 to 50,000 .............",257,13,20,39,53,44,43,44 "50,001 to 100,000 ............",145,7,9,19,24,26,33,27

473

Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids  

E-Print Network (OSTI)

We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive mixing in isothermal mixtures of fluids with different density and transport coefficients. These equations eliminate the fast isentropic fluctuations in pressure associated with the propagation of sound waves by replacing the equation of state with a local thermodynamic constraint. We demonstrate that the low Mach number model preserves the spatio-temporal spectrum of the slower diffusive fluctuations. We develop a strictly conservative finite-volume spatial discretization of the low Mach number fluctuating equations in both two and three dimensions. We construct several explicit Runge-Kutta temporal integrators that strictly maintain the equation of state constraint. The resulting spatio-temporal discretization is second-order accurate deterministically and maintains fluctuation-dissipation balance in the linearized stochastic equations. We apply our algorithms to model the development of giant concentration fl...

Donev, A; Sun, Y; Fai, T; Garcia, A L; Bell, J B

2012-01-01T23:59:59.000Z

474

Property:FERC License Docket Number | Open Energy Information  

Open Energy Info (EERE)

License Docket Number License Docket Number Jump to: navigation, search This is a property of type string. Pages using the property "FERC License Docket Number" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/Admirality Inlet Tidal Energy Project + P-12690 + MHK Projects/Algiers Light Project + P-12848 + MHK Projects/Anconia Point Project + P-12928 + MHK Projects/Astoria Tidal Energy + P-12665 + MHK Projects/Avalon Tidal + P-14228 + MHK Projects/Avondale Bend Project + P-12866 + MHK Projects/BW2 Tidal + P-14222 + MHK Projects/Bar Field Bend + P-12942 + MHK Projects/Barfield Point + P-13489 + MHK Projects/Bayou Latenache + P-13542 + MHK Projects/Belair Project + P-13125 + MHK Projects/Bondurant Chute + P-13477 + MHK Projects/Breeze Point + P-13480 +

475

Table B6. Building Size, Number of Buildings, 1999  

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

B6. Building Size, Number of Buildings, 1999" B6. Building Size, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings ","Building Size" ,,"1,001 to 5,000 Square Feet","5,001 to 10,000 Square Feet","10,001 to 25,000 Square Feet","25,001 to 50,000 Square Feet","50,001 to 100,000 Square Feet","100,001 to 200,000 Square Feet","200,001 to 500,000 Square Feet","Over 500,000 Square Feet" "All Buildings ................",4657,2348,1110,708,257,145,59,23,7 "Principal Building Activity" "Education ....................",327,119,61,52,49,30,10,5,"Q" "Food Sales ...................",174,138,"Q","Q","Q","Q","Q","N","N"

476

Property:Number of Devices Deployed | Open Energy Information  

Open Energy Info (EERE)

Devices Deployed Devices Deployed Jump to: navigation, search Property Name Number of Devices Deployed Property Type Number Pages using the property "Number of Devices Deployed" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/40MW Lewis project + 0 + MHK Projects/ADM 3 + 1 + MHK Projects/ADM 5 + 1 + MHK Projects/AW Energy EMEC + 1 + MHK Projects/AWS II + 2 + MHK Projects/Admirality Inlet Tidal Energy Project + 450 + MHK Projects/Agucadoura + 3 + MHK Projects/Alaska 18 + 100 + MHK Projects/Alaska 36 + 100 + MHK Projects/Algiers Cutoff Project + 40 + MHK Projects/Algiers Light Project + 0 + MHK Projects/Anconia Point Project + 0 + MHK Projects/Ashley Point Project + 0 + MHK Projects/Avondale Bend Project + 0 + MHK Projects/Bar Field Bend + 0 +

477

Property:Number of Color Cameras | Open Energy Information  

Open Energy Info (EERE)

Color Cameras 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 property. (previous 25) (next 25) A Alden Large Flume + 2 + Alden Small Flume + 2 + Alden Tow Tank + 2 + Alden Wave Basin + 2 + C Chase Tow Tank + 1 + Conte Large Flume + 5 + Conte Small Flume + 5 + D Davidson Laboratory Tow Tank + 2 + DeFrees Flume 1 + 5 + DeFrees Flume 2 + 5 + DeFrees Flume 3 + 5 + DeFrees Flume 4 + 5 + DeFrees Large Wave Basin + 5 + DeFrees Small Wave Basin + 5 + F Flood Fighting Research Facility + 1 + H Haynes Tow Tank + 6 + Haynes Wave Basin + 6 + Hinsdale Wave Basin 1 + 20 + Hinsdale Wave Basin 2 + 20 + M MIT Tow Tank + 1 + MMA Tugboat/ Barge/ Vessel + 1 +

478

Property:Number of Prime Movers | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Number of Prime Movers Jump to: navigation, search This is a property of type Number. Pages using the property "Number of Prime Movers" Showing 22 pages using this property. D Distributed Generation Study/10 West 66th Street Corp + 1 + Distributed Generation Study/615 kW Waukesha Packaged System + 1 + Distributed Generation Study/Aisin Seiki G60 at Hooligans Bar and Grille + 1 + Distributed Generation Study/Arrow Linen + 2 + Distributed Generation Study/Dakota Station (Minnegasco) + 1 + Distributed Generation Study/Elgin Community College + 4 + Distributed Generation Study/Emerling Farm + 1 + Distributed Generation Study/Floyd Bennett + 2 + Distributed Generation Study/Harbec Plastics + 25 +

479

Quantum receivers with squeezing and photon-number-resolving detectors  

E-Print Network (OSTI)

We propose quantum receivers with optical squeezing and photon-number-resolving detector (PNRD) for the near-optimal discrimination of quaternary phase-shift-keyed coherent state signals. The basic scheme is similar to the previous proposals (e.g. Phys. Rev. A 84, 042328 (2012)) in which displacement operations, on-off detectors, and electrical feedforward operations were used. Here we study two types of receivers where one installs optical squeezings and the other uses PNRDs instead of on-off detectors. We show that both receivers can attain lower error rates than that by the previous scheme and in particular, the PNRD based receiver has a significant gain under the fixed number of feedfoward steps. Moreover, we show that the PNRD based receiver can suppress the errors due to dark counts, which is not possible by the on-off detector based receiver with a limited number of feedforwards.

Shuro Izumi; Masahiro Takeoka; Kazuhiro Ema; Masahide Sasaki

2013-02-12T23:59:59.000Z

480

Bifurcation of low Reynolds number flows in symmetric channels  

E-Print Network (OSTI)

The ow elds in two-dimensional channels with discontinuous expansions are studied numerically to understand how the channel expansion ratio in uences the symmetric and non-symmetric solutions that are known to occur. For improved con dence and understanding, two distinct numerical techniques are used. The general ow eld characteristics in both symmetric and asymmetric regimes are ascertained by a time-marching nite volume procedure. The ow elds and the bifurcation structure of the steady solutions of the Navier-Stokes equations are determined independently using the nite-element technique. The two procedures are then compared both as to their predicted critical Reynolds numbers and the resulting ow eld characteristics. Following this, both numerical procedures are compared with experiments. The results show that the critical Reynolds number decreases with increasing channel expansion ratio. At a xed supercritical Reynolds number, the location at which the jet rst impinges on the channel wall grows linearly with the expansion ratio. 1

Francine Battaglia; Simon J. Tavener Y; Anil K. Kulkarni Z; Charles L. Merkle X

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "24-hour cumulative number" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Name Name Address Place Zip Category Sector Telephone number Website  

Open Energy Info (EERE)

Category Sector Telephone number Website Category Sector Telephone number Website Coordinates Testing Facilities Overseen References Alden Research Laboratory Inc Alden Research Laboratory Inc Shrewsbury Street Shrewsbury Street Holden Massachusetts Category Testing Facility Operators Hydro Hydro http www aldenlab com http www aldenlab com Alden Tow Tank Alden Wave Basin Alden Small Flume Alden Large Flume Bucknell University Bucknell University Civil Mechanical Engineering Departments Hydraulic Flume Moore Avenue Dana Engineering Building Lewisburg Pennsylvania Category Testing Facility Operators Hydro http www bucknell edu x16287 xml Bucknell Hydraulic Flume Colorado State University Hydrodynamics Colorado State University Hydrodynamics Daryl B Simons Building Engineering Research Center Campus Delivery

482

ON THE NUMBER OF NEUTRONS FROM SOME FISSION FRAGMENTS  

SciTech Connect

The number of neutrons emitted by individual fragments from U/sup 235/ fission by thermal neutrons was measured using a large detector filled with a liquid organic cadmiumcontaining scintillator. The numbers of prompt neutrons were measured under 4 pi geometry conditions as a function of fragment mass. The excitation energy spent on prompt neutrons was derived on the basis of Weizsacker's semiempirical formula. A sharp asymmetry was noticed in the distribution of excitation energies between heavy and light fragments. The new data do not agree with the Fong statistical fission theory. (tr-auth)

Apalin, V.F.; Dobrynin, Yu.P.; Zakharova, V.P.; Kutikov, I.E.; Mikaelyan, L.A.

1960-01-01T23:59:59.000Z

483

Counting the number of correlated pairs in a nucleus  

E-Print Network (OSTI)

We suggest that the number of correlated nucleon pairs in an arbitrary nucleus can be estimated by counting the number of proton-neutron, proton-proton, and neutron-neutron pairs residing in a relative $S$ state. We present numerical calculations of those amounts for the nuclei $^{4}$He, $^{9}$Be, $ ^{12}$C, $ ^{27}$Al, $ ^{40}$Ca, $ ^{48}$Ca, $ ^{56}$Fe, $ ^{63}$Cu, $ ^{108}$Ag, and $ ^{197}$Au. The results are used to predict the values of the ratios of the per-nucleon electron-nucleus inelastic scattering cross section to the deuteron in the kinematic regime where correlations dominate.

Maarten Vanhalst; Wim Cosyn; Jan Ryckebusch

2011-05-05T23:59:59.000Z

484

Cumulative Gasoline Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

relatively quickly at retail in the Midwest. However, it's important to note that this process still takes a total of 7 weeks, and that the lag is fairly consistent in both...

485

Cumulative attestation kernels for embedded systems  

Science Conference Proceedings (OSTI)

There are increasing deployments of networked embedded systems and rising threats of malware intrusions on such systems. To mitigate this threat, it is desirable to enable commonly-used embedded processors known as flash MCUs to provide remote attestation ...

Michael LeMay; Carl A. Gunter

2009-09-01T23:59:59.000Z

486

Measurement of Black Carbon and Particle Number Emission Factors from  

NLE Websites -- All DOE Office Websites (Extended Search)

Measurement of Black Carbon and Particle Number Emission Factors from Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Title Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Publication Type Journal Article Year of Publication 2009 Authors Ban-Weiss, George, Melissa M. Lunden, Thomas W. Kirchstetter, and Robert A. Harley Journal Environmental Science and Technology Abstract Emission factors for black carbon (BC) and particle number (PN) were measured from 226 individual heavy-duty (HD) diesel-fueled trucks driving through a 1 km-long California highway tunnel in August 2006. Emission factors were based on concurrent increases in BC, PN, and COB2B concentrations (measured at 1 Hz) that corresponded to the passage of individual HD trucks. The distributions of BC and PN emission factors from individual HD trucks are skewed, meaning that a large fraction of pollution comes from a small fraction of the in-use vehicle fleet. The highest-emitting 10% of trucks were

487

Test 2 PURE MATHEMATICS 2320 Fall 2001 Name MUN Number  

E-Print Network (OSTI)

Test 2 PURE MATHEMATICS 2320 Fall 2001 Name MUN Number Marks [9] 1. Let A = f1; 2; 3; 4; 5; 10; 11 that (A; #22;) is a poset. (this question continues...) #12; Pure Mathematics 2320 {2{ Test 2, Fall 2001(s)? iii. minimum element(s)? iv. minimal element(s)? #12; Pure Mathematics 2320 {3{ Test 2, Fall 2001 [4

deYoung, Brad

488

Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids  

E-Print Network (OSTI)

We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive mixing in isothermal mixtures of fluids with different density and transport coefficients. These equations eliminate the fast isentropic fluctuations in pressure associated with the propagation of sound waves by replacing the equation of state with a local thermodynamic constraint. We demonstrate that the low Mach number model preserves the spatio-temporal spectrum of the slower diffusive fluctuations. We develop a strictly conservative finite-volume spatial discretization of the low Mach number fluctuating equations in both two and three dimensions. We construct several explicit Runge-Kutta temporal integrators that strictly maintain the equation of state constraint. The resulting spatio-temporal discretization is second-order accurate deterministically and maintains fluctuation-dissipation balance in the linearized stochastic equations. We apply our algorithms to model the development of giant concentration fluctuations in the presence of concentration gradients, and investigate the validity of common simplifications neglecting the spatial non-homogeneity of density and transport properties. We perform simulations of diffusive mixing of two fluids of different densities in two dimensions and compare the results of low Mach number continuum simulations to hard-disk molecular dynamics simulations. Excellent agreement is observed between the particle and continuum simulations of giant fluctuations during time-dependent diffusive mixing.

A. Donev; A. J. Nonaka; Y. Sun; T. G. Fai; A. L. Garcia; J. B. Bell

2012-12-11T23:59:59.000Z

489

Ramsey numbers of long cycles versus books or wheels  

Science Conference Proceedings (OSTI)

Given two graphs G"1 and G"2, denote by G"1*G"2 the graph obtained from G"1@?G"2 by joining all the vertices of G"1 to the vertices of G"2. The Ramsey number R(G"1,G"2) is the smallest positive integer n such that every graph G of order n contains a ...

Lingsheng Shi

2010-04-01T23:59:59.000Z

490

Property:NEPA SerialNumber | Open Energy Information  

Open Energy Info (EERE)

SerialNumber SerialNumber Jump to: navigation, search Property Name NEPA SerialNumber Property Type String This is a property of type String. Pages using the property "NEPA SerialNumber" Showing 25 pages using this property. (previous 25) (next 25) B BLM-NV-WN-ES-08-01-1310, NV-020-08-01 + NV-020-08-01 + C CA-670-2010-107 + GDP-670-10-1 + D DOI-BLM-CA-ES-2013-002+1793-EIS + CACA 054722 + DOI-BLM-ID-110-2009-3825-CE + IDI-036864 + DOI-BLM-ID-B010-2010-??-CX + IDI-036869 + DOI-BLM-ID-I020-2012-0017-CX + IDI-37208 + DOI-BLM-ID-T020-2012-0003-CX + IDI-37320 + DOI-BLM-NM-L000-2012-0020-DNA + L000-2012-0020 + DOI-BLM-NM-L000-2012-0042-DNA + L000-2012-0042 + DOI-BLM-NM-L000-2012-0046-CX + NMNM-120643 + DOI-BLM-NM-L000-2012-0111-DNA + L000-2012-0111 + DOI-BLM-NM-L000-2012-0200-DNA + L000-2012-0200 +

491

Statistics of Richardson Number and Instability in Oceanic Internal Waves  

Science Conference Proceedings (OSTI)

The probability density function (pdf) of Richardson number in a Gaussian internal-wave field is derived. It is found to compare well with available data. The pdf depends on only parameter ?, the rms stain in the field, which is very weakly ...

Yves Desaubies; Woollcott K. Smith

1982-11-01T23:59:59.000Z

492

On the existence of high Lewis number combustion fronts  

Science Conference Proceedings (OSTI)

We study a mathematical model for high Lewis number combustion processes with the reaction rate of the form of an Arrhenius law with or without an ignition cut-off. An efficient method for the proof of the existence and uniqueness of combustion fronts ... Keywords: Combustion fronts, Geometric singular perturbation theory, Ignition cut-off

Anna Ghazaryan; Christopher Jones

2012-02-01T23:59:59.000Z

493

NUMBER: FCMN 2.15 SECTION: Business and Finance  

E-Print Network (OSTI)

for generating, distributing and maintaining the high pressure steam (for heating and hot water) and chilledNUMBER: FCMN 2.15 SECTION: Business and Finance SUBJECT: Campus Utilities and Energy Distribution water (for air conditioning)distribution systems. In addition, Energy Services personnel maintain all

Almor, Amit

494

Number of degrees of freedom of two-dimensional turbulence  

E-Print Network (OSTI)

We derive upper bounds for the number of degrees of freedom of two-dimensional Navier--Stokes turbulence freely decaying from a smooth initial vorticity field $\\omega(x,y,0)=\\omega_0$. This number, denoted by $N$, is defined as the minimum dimension such that for $n\\ge N$, arbitrary $n$-dimensional balls in phase space centred on the solution trajectory $\\omega(x,y,t)$, for $t>0$, contract under the dynamics of the system linearized about $\\omega(x,y,t)$. In other words, $N$ is the minimum number of greatest Lyapunov exponents whose sum becomes negative. It is found that $N\\le C_1R_e$ when the phase space is endowed with the energy norm, and $N\\le C_2R_e(1+\\ln R_e)^{1/3}$ when the phase space is endowed with the enstrophy norm. Here $C_1$ and $C_2$ are constant and $R_e$ is the Reynolds number defined in terms of $\\omega_0$, the system length scale, and the viscosity $\

Chuong V. Tran; Luke Blackbourn

2009-04-20T23:59:59.000Z

495

IFRF Combustion Journal Article Number 200303, July 2003  

E-Print Network (OSTI)

IFRF Combustion Journal Article Number 200303, July 2003 ISSN 1562-479X Waste Incineration European-mail: klaus.goerner@uni-essen.den URL: http://www.luat.uni-essen.de #12;IFRF Combustion Journal - 2 - Goerner the lower calorific value of normal municipal waste increased with the consequence of increasing combustion

Columbia University

496

Semidualizing Modules and Bass Numbers Sean Sather-Wagstaff  

E-Print Network (OSTI)

of Mathematical Sciences Lahore, Pakistan arXiv:0812.0643 Sean Sather-Wagstaff Semidualizing Modules and Bass Numbers #12;Themes Throughout this talk (R, m, k) is a commutative local artinian ring with unique maximal ideal m and residue field k = R/m. Theme. Module theory is representation theory for rings. Ring

Sather-Wagstaff, Sean

497

Statistics of the Richardson Number: Mixing Models and Finestructure  

Science Conference Proceedings (OSTI)

Parameterization of the dissipation rate of turbulent kinetic energy (?) in terms of Richardson number (Ri = N2/S2) is examined for a variety in internal wave environments. Previous work with these data suggests a scaling of ? E2N?2g(w) to ...

Kurt Polzin

1996-08-01T23:59:59.000Z

498

Degenerate flag varieties: moment graphs and Schröder numbers  

Science Conference Proceedings (OSTI)

We study geometric and combinatorial properties of the degenerate flag varieties of type A. These varieties are acted upon by the automorphism group of a certain representation of a type A quiver, containing a maximal torus T. Using the group ... Keywords: Flag varieties, Moment graphs, Quiver Grassmannians, Schröder numbers

Giovanni Cerulli Irelli; Evgeny Feigin; Markus Reineke

2013-08-01T23:59:59.000Z

499

On Graph Crossing Number and Edge Planarization Julia Chuzhoy  

E-Print Network (OSTI)

. In the Minimum Crossing Number Toyota Technological Institute, Chicago, IL 60637. Email: cjulia@ttic.edu. Supported in part by NSF CAREER award CCF-0844872. Toyota Technological Institute, Chicago, IL 60637. Email: yury@ttic.edu Toyota Technological Institute, Chicago, IL 60637. Email: tasos@ttic.edu problem, given

Chuzhoy, Julia

500

Millard W. Hall, Director Volume 10, Number 4  

E-Print Network (OSTI)

following exposure to the stress. Water use efficiency in terms of grain produced per unit of water used may in 991 kg grain produced per k-liter water used, compared to 888 kg grain produced by unstressed controlsMillard W. Hall, Director Volume 10, Number 4 GUEST EDITORIAL State Water Planning Process

Nebraska-Lincoln, University of