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We encourage you to perform a real-time search of NLEBeta
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1

Folder Contents New Search | Folder | Preferences | Help | Exit  

E-Print Network [OSTI]

Folder Contents New Search | Folder | Preferences | Help | Exit Basic Search Advanced Search Visual Advanced Search Visual Search Choose Databases UNIV OF MONTANA-MISSOULA Sign In to My EBSCOhost Keyword Search Choose Databases UNIV OF MONTANA-MISSOULA Sign In to My EBSCOhost Keyword | Publications | Subject

Bardsley, John

2

PARSII - New Reports and Reports With New Reporting Folder Location...  

Energy Savers [EERE]

- New Reports and Reports With New Reporting Folder Location More Documents & Publications PARSII - New Reports and Reports With New Reporting Folder Location Slide 1 Slide 1...

3

PARSII - New Reports and Reports With New Reporting Folder Location  

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

PARSII - New Reports and Reports With New Reporting Folder Location PARSII - New Reports and Reports With New Reporting Folder Location Page 1 of 3 as of 1/24/2011 Report Name Previous Location New Location Brief Description Multi-Project or Single Project Report 2A Project Summary by Program PARS Reports Monthly Reports All active projects listing Pre/Post CD-2 $ and #'s including RYG status. Multi-Project 3A Red-Yellow Project Status Report PARS Reports Monthly Reports For every project that has been assessed by the OECM Analyst as being either Red or Yellow a worksheet is created that includes the OECM Analyst's written assessment of the project. The FPD, Site and Contractor with its EVM Certification Status are listed in the report. All appropriate EVM metrics, TPC values and CD approved dates as of the current OA Status Date are a part of the report.

4

Scattering length density profile of Ni film under controlled corrosion: A study in neutron reflectometry  

Science Journals Connector (OSTI)

We report the density depth profile of an as-deposited Ni film and density profile for the same film after controlled electrochemical corrosion by chloride ions, measured by unpolarized neutron reflectometry. The...

Surendra Singh; A. K. Poswal; S. K. Ghosh; Saibal Basu

2008-11-01T23:59:59.000Z

5

A control-oriented model of the current profile in Tokamak , E JOFFRIN2  

E-Print Network [OSTI]

A control-oriented model of the current profile in Tokamak plasma E WITRANT1 , E JOFFRIN2 , S BR.witrant@ee.kth.se Abstract. This paper proposes a control-oriented approach to the tokamak plasma current profile dynamics). Its inputs are some real-time measurements available on modern tokamaks and the effects of some major

Boyer, Edmond

6

Control of the electric-field profile in the Hall thruster A. Fruchtman  

E-Print Network [OSTI]

electric field. This ability to generate a large electric field at a specific location along the channelControl of the electric-field profile in the Hall thruster A. Fruchtman Holon Academic Institute; accepted 27 November 2000 Control of the electric-field profile in the Hall thruster through

7

Quantum interference controlled resonance profiles: From lasing without inversion to photo-detection  

E-Print Network [OSTI]

In this work we report a quantum interference mediated control of the resonance profiles in a generic three-level system and investigate its effect on key quantum interference (QI) phenomena. Namely in a three level configuration with doublets in the ground or excited states, we show control over enhancement and suppression of the emission (absorption) profiles. This is achieved by manipulation of the strength of QI and the energy spacing of the doublets. We analyze the application of such QI induced control of the resonance profile in the framework of two limiting cases of lasing without inversion and photo-detection.

Konstantin E. Dorfman; Pankaj K. Jha; Sumanta Das

2011-08-07T23:59:59.000Z

8

Where are Functions in PRISM 11.5.10? File Edit View Folder Tools Inquire Window Help  

E-Print Network [OSTI]

Where are Functions in PRISM 11.5.10? File Edit View Folder Tools Inquire Window Help New Help Desk ­ 412624help Switch Responsibility #12; Undo Typing Show Navigator New Acceptances View Lines Cascade Window Help Open Cut Zoom Open

Sibille, Etienne

9

Quality Control and Verification of Weather Radar Wind Profiles IWAN HOLLEMAN  

E-Print Network [OSTI]

- tions of the vertical velocity, which is a sum of the vertical wind velocity and the hydrometeor fall. 1986). Profiles of wind speed and direction, hydrometeor fall speed, and divergence have been obtainedQuality Control and Verification of Weather Radar Wind Profiles IWAN HOLLEMAN Royal Netherlands

Stoffelen, Ad

10

Lyapunov-Based Distributed Control of the Safety Factor Profile in a Tokamak Plasma  

E-Print Network [OSTI]

Lyapunov-Based Distributed Control of the Safety Factor Profile in a Tokamak Plasma Federico safety-factor profile in a tokamak plasma. Using relevant physical models and simplifying assumptions within a tokamak plasma is a key issue to achieve (and maintain) in a safe manner high

Boyer, Edmond

11

Numerical simulation of profile control by clay particles after polymer flooding  

Science Journals Connector (OSTI)

A three-dimensional, two-phase, five-component mathematical model has been developed to describe flow characteristics of clay particles and flocs in the profile control process, in which the clay particle susp...

Qihong Feng; Shubin Shi; Sen Wang; Lu Zheng

2010-12-01T23:59:59.000Z

12

Adaptive beam profile control using a simulated annealing algorithm  

E-Print Network [OSTI]

adaptive optics system," Opt. Commun. 176, 339-345 (2000). 3. R. B. Shake and B. C. Platt, "Production. Murnane, H. C. Kapteyn, S. Backus, G. Vdovin "Adaptive pulse compensation for transform-limited 15-fs high-energy transverse mode control and optimisation of an all-solid-state laser using an intracavity adaptive

13

Project Profile: Heliostat System with Wireless Closed-Loop Control  

Broader source: Energy.gov [DOE]

Thermata, under the 2012 SunShot Concentrating Solar Power (CSP) R&D funding opportunity announcement (FOA), is demonstrating a collector system with enhanced optical tracking capability. The unit includes a control system that provides real-time information to adjust the location of the reflected sunlight. It demonstrates a prototype heliostat system that meets the cost, performance, and reliability objectives of the SunShot Initiative.

14

Bay Controls & Ford Teaming Profile | ENERGY STAR Buildings & Plants  

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

Bay Controls & Ford Teaming Profile Bay Controls & Ford Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

15

Startup of distillation columns using profile position control based on nonlinear wave model  

SciTech Connect (OSTI)

Startup of distillation columns is a very challenging control problem because of its strong nonlinearity and a wide operating range during the transient period. A nonlinear wave model captures the essential dynamic behavior of the distillation process so that it is possible to deal with the difficulties encountered during startup operation. This paper is concerned with the startup of distillation systems using nonlinear wave model based control developed by Han and Park. This control scheme uses profile positions as controlled variables and is based on the nonlinear wave model by Hwang and generic model control scheme by Lee and Sullivan. It can be applied to a binary or a multicomponent distillation system that can be represented as a pseudobinary. The proposed control scheme is shown by simulation studies to provide a safe and economic startup operation not only for dual composition control of a simple distillation column but also for a complex distillation configuration.

Han, M.; Park, S. [Chungnam National Univ., Taejon (Korea, Republic of). Chemical Engineering Dept.] [Chungnam National Univ., Taejon (Korea, Republic of). Chemical Engineering Dept.; [Korea Advanced Inst. of Science and Technology, Taejon (Korea, Republic of). Chemical Engineering Dept.

1999-04-01T23:59:59.000Z

16

Real-time MSE measurements for current profile control on KSTAR  

SciTech Connect (OSTI)

To step up from current day fusion experiments to power producing fusion reactors, it is necessary to control long pulse, burning plasmas. Stability and confinement properties of tokamak fusion reactors are determined by the current or q profile. In order to control the q profile, it is necessary to measure it in real-time. A real-time motional Stark effect diagnostic is being developed at Korean Superconducting Tokamak for Advanced Research for this purpose. This paper focuses on 3 topics important for real-time measurements: minimize the use of ad hoc parameters, minimize external influences and a robust and fast analysis algorithm. Specifically, we have looked into extracting the retardance of the photo-elastic modulators from the signal itself, minimizing the influence of overlapping beam spectra by optimizing the optical filter design and a multi-channel, multiharmonic phase locking algorithm.

De Bock, M. F. M.; Aussems, D.; Huijgen, R.; Scheffer, M. [Eindhoven University of Technology, Eindhoven (Netherlands); Chung, J. [National Fusion Research Institute, Daejeon (Korea, Republic of)

2012-10-15T23:59:59.000Z

17

A new profile control design based on quantitative identification of steam breakthrough channel in heavy oil reservoirs  

Science Journals Connector (OSTI)

Steam breakthrough has a great negative influence on the development of steam flooding in heavy oil reservoirs. In this article, a new profile control design based on quantitative identification of steam break...

Chuan Lu; Huiqing Liu; Zhanxi Pang…

2014-03-01T23:59:59.000Z

18

Final Technical Report: Numerical and Experimental Investigation of Turbulent Transport Control via Shaping of Radial Plasma Flow Profiles  

SciTech Connect (OSTI)

The strong coupling between the different physical variables involved in the plasma transport phenomenon and the high complexity of its dynamics call for a model-based, multivariable approach to profile control where those predictive models could be exploited. The overall objective of this project has been to extend the existing body of work by investigating numerically and experimentally active control of unstable fluctuations, including fully developed turbulence and the associated cross-field particle transport, via manipulation of flow profiles in a magnetized laboratory plasma device. Fluctuations and particle transport can be monitored by an array of electrostatic probes, and Ex#2;B flow profiles can be controlled via a set of biased concentric ring electrodes that terminate the plasma column. The goals of the proposed research have been threefold: i- to develop a predictive code to simulate plasma transport in the linear HELCAT (HELicon-CAThode) plasma device at the University of New Mexico (UNM), where the experimental component of the proposed research has been carried out; ii- to establish the feasibility of using advanced model-based control algorithms to control cross-field turbulence-driven particle transport through appropriate manipulation of radial plasma flow profiles, iii- to investigate the fundamental nonlinear dynamics of turbulence and transport physics. Lehigh University (LU), including Prof. Eugenio Schuster and one full-time graduate student, has been primarily responsible for control-oriented modeling and model-based control design. Undergraduate students have also participated in this project through the National Science Foundation Research Experience for Undergraduate (REU) program. The main goal of the LU Plasma Control Group has been to study the feasibility of controlling turbulence-driven transport by shaping the radial poloidal flow profile (i.e., by controlling flow shear) via biased concentric ring electrodes.

Schuster, Eugenio

2014-05-02T23:59:59.000Z

19

Building America Top Innovations Hall of Fame Profile … Outside Air Ventilation Controller  

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

partner Davis Energy partner Davis Energy Group worked with Monley Cronin Construction to build 100 energy-efficient homes in Woodland, CA, with night- cooling ventilation systems. BUILDING AMERICA TOP INNOVATIONS HALL OF FAME PROFILE INNOVATIONS CATEGORY: 1. Advanced Technologies and Practices 1.3 Assured Health, Safety, and Durability Outside Air Ventilation Controller Building America researchers developed technologies to harness the natural day-night temperature swings in the U.S. Southwest to cut cooling energy peak demand with no compromise in comfort. Building America research has shown that, in dry climates, the use of ventilation cooling can significantly reduce, delay, or completely eliminate air conditioner operation resulting in both energy savings and reduction of peak demand

20

Active Diesel Emission Control Technology for Sub-50 HP Engines with Low Exhaust Temperature Profiles  

Broader source: Energy.gov [DOE]

A new type of emission control technology was presented for the small engines used in APU's and TRU's.

Note: This page contains sample records for the topic "folder profile control" 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

IEEE JOURNAL OF OCEANIC ENGINEERING 1 Controlling Buoyancy-Driven Profiling Floats  

E-Print Network [OSTI]

on experimentally-validated techniques for utilising ocean current models to control autonomous gliders generated from predictions of ocean currents. This computes a path between start and goal waypoints that has entirely by environmental parameters, e.g., ocean currents. The The authors are with the School

Smith, Ryan N.

22

Generation of non-axisymmetric scrape-off layer perturbations for controlling tokamak edge plasma profiles and stability  

SciTech Connect (OSTI)

A critical requirement for tokamak fusion reactors is the control of the divertor heat load, both the time-averaged value and the impulsive fluxes that accompany edge-localized modes. We propose driving toroidally varying currents through the scrape-off layer (SOL) plasma both to broaden the SOL by inducing radial convection and to control the edge pressure gradient by inducing resonant magnetic perturbations. The generation of additional convective transport via steady-state convective cells or increased turbulence drive requires that the electric potential perturbations exceed a threshold in amplitude that depends on wavelength. The generation of a coherent magnetic perturbation is optimized by choosing the appropriate width and phasing of the biasing region at the target plate in order to optimize the profile of the SOL current. Longer wavelength modes produce a larger effect because they are not sheared as strongly by the magnetic X-point. Generation of the necessary currents is challenging due to the possibly substantial power requirements and the possible need for internal insulators. We analyze passive current-drive mechanisms that rely on puffing and pumping of neutral gas in a toroidally asymmetric fashion using the UEDGE code to model the ITER divertor.

Joseph, Ilon; Cohen, Ronald H.; Rognlien, Thomas D.; Ryutov, Dmitri D. [Lawrence Livermore National Laboratory, P.O. Box 808, L-637, Livermore, California 94551 (United States)

2012-05-15T23:59:59.000Z

23

cession Numb Main Entry Title Description Restrictions Material type Extent in container Location Slides Map Case M/A Date MM/DD/YY Accession date Notes Folder List 81-002 Froman, Lenore Photographs, 1959  

E-Print Network [OSTI]

Slides Map Case M/A Date MM/DD/YY Accession date Notes Folder List 81-002 Froman, Lenore Photographs, 1959 Five color 35mm slides depicting the departure of R/V Stranger on Naga Expedition, 15 June 1959. Photographs 5 items Slides 1A 1A 7/21/1981 1981 Not Needed 81-003 SIO Ship Operations and Marine Technical

Russell, Lynn

24

Get Smart About Energy: Office of Building Technology, State and Community Programs (OBT) EnergySmart Schools Program Folder (Revision)  

SciTech Connect (OSTI)

While improving their energy use in buildings and bus fleets, schools are likely to create better places for teaching and learning with better lighting, temperature control, acoustics, and air quality. Smart districts also realize benefits in student performance.

Not Available

2002-02-01T23:59:59.000Z

25

Cryptree: A Folder Tree Structure for Cryptographic File Systems Dominik Grolimund, Luzius Meisser, Stefan Schmid, Roger Wattenhofer  

E-Print Network [OSTI]

, it cannot be used in systems that operate on untrusted storage, as it is of- ten the case in distributed first discuss the context of this paper in Section 2. Then, in Section 3, our desired access control semantics are specified in more detail. Section 4 introduces cryptographic links--the building blocks

Schmid, Stefan

26

Title: Analyzing Occupancy Profiles from a Lighting Controls Field Study Authors: Francis Rubinstein, Nesrin Colak, Judith Jennings, and Danielle Neils  

E-Print Network [OSTI]

. The lighting energy usage in each zone was recorded automatically every 15 minutes. Using this data, we were of the occupancy sensor to reduce lighting energy usage. In selecting data for analysis, we chose to examine only-4], only one US study [5] examines the occupancy patterns of building occupants. Occupancy profiles allow

27

Contrôle et stabilité Entrée-Etat en dimension infinie du profil du facteur de sécurité dans un plasma Tokamak Infinite dimensional control and Input-to-State stability of the safety factor profile in a Tokamak plasma.  

E-Print Network [OSTI]

??Dans cette thèse, on s'intéresse au contrôle du profil de facteur de sécurité dans un plasma tokamak. Cette variable physique est liée à plusieurs phénomènes… (more)

Bribiesca argomedo, Fédérico

2012-01-01T23:59:59.000Z

28

Force Control and Nonlinear Master-Slave Force Profile to Manage an Admittance Type Multi-Fingered Haptic User Interface  

SciTech Connect (OSTI)

Natural movements and force feedback are important elements in using teleoperated equipment if complex and speedy manipulation tasks are to be accomplished in remote and/or hazardous environments, such as hot cells, glove boxes, decommissioning, explosives disarmament, and space to name a few. In order to achieve this end the research presented in this paper has developed an admittance type exoskeleton like multi-fingered haptic hand user interface that secures the user’s palm and provides 3-dimensional force feedback to the user’s fingertips. Atypical to conventional haptic hand user interfaces that limit themselves to integrating the human hand’s characteristics just into the system’s mechanical design this system also perpetuates that inspiration into the designed user interface’s controller. This is achieved by manifesting the property differences of manipulation and grasping activities as they pertain to the human hand into a nonlinear master-slave force relationship. The results presented in this paper show that the admittance-type system has sufficient bandwidth that it appears nearly transparent to the user when the user is in free motion and when the system is subjected to a manipulation task, increased performance is achieved using the nonlinear force relationship compared to the traditional linear scaling techniques implemented in the vast majority of systems.

Anthony L. Crawford

2012-08-01T23:59:59.000Z

29

People Profiles  

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

What Is NIF? How NIF Works Seven Wonders Beamline NIF Construction Who Works for NIF & PS? People Profiles Management Awards Honors Fellows Who Partners with NIF? FAQs Visit Us...

30

Control Profiles of Complex Networks  

Science Journals Connector (OSTI)

...distributed processing possible, which is characteristic of the systems that fall into this class...circuits, airport interconnectivity, intranets, and the Internet’s autonomous systems...internal dilations themselves reveal characteristics of forbidden regions of state space...

Justin Ruths; Derek Ruths

2014-03-21T23:59:59.000Z

31

Mentee Profile  

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

Mentee Profile Mentee Profile The information you provide on this form will assist us in providing you with a list of prospective mentor from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Are you student or intern? Do you have a preference on mentor? For example, male, female, particular career field, specific person or other? If so, what or who? Do you want a mentor in your career field? What are your career goals?

32

Mentor Profile  

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

Mentor Profile Mentor Profile The information you provide on this form will assist us in providing you with a list of prospective mentee from which to choose the most appropriate match. Once you've completed the form, please email it to doementoringprogram@hq.doe.gov . Thank you for your interest in the DOE Mentoring Program. Name (last/first): Phone Number: Job Title/Series/Grade: Organization (indicate HQ or field - complete address): Email Address: Are you a Veteran? If yes, do want a veteran mentee? If yes, which branch of the service? Do you want a student or intern mentee? Do you have a preference on mentee? For example, male, female, particular career field or other? If so, what or state name of pre selected mentee? Do you want a mentee in your career field? What are your hobbies?

33

Field measurements of incision rates following bedrock exposure: Implications for process controls on the long profiles of valleys cut by rivers and debris flows  

Science Journals Connector (OSTI)

...manner predicted by the stream power law, despite the observation...their profiles are well fit by power-law plots of drainage area...S. Department of Energy, Bonneville Power Administration, Report DOE/BP-02246-5...

Jonathan D. Stock; David R. Montgomery; Brian D. Collins; William E. Dietrich; Leonard Sklar

34

Texas Crop Profile: Potatoes  

E-Print Network [OSTI]

175 pounds of nitrogen, 80 pounds of phosphorus, and 80 pounds of potassium. Potassium is generally not needed in the High Plains, although many growers apply it. Texas Crop Profile P O T A T O E S E-19 3-00 Prepared by Kent D. Hall, Rodney L. Holloway..., following drag-off or after potato plants have fully emerged. Controls weeds by disrupting growth process during germination. Does not control established weeds. State Contacts Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

35

EIA - State Nuclear Profiles  

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

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy...

36

EIA - State Nuclear Profiles  

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

Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw)...

37

EIA - State Nuclear Profiles  

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

Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

38

EIA - State Nuclear Profiles  

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

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer...

39

A Comparative Analysis of Speed Profile Models for Ankle Pointing Movements: Evidence that Lower and Upper Extremity Discrete Movements are Controlled by a Single Invariant Strategy  

E-Print Network [OSTI]

Little is known about whether our knowledge of how the central nervous system controls the upper extremities (UE), can generalize, and to what extent to the lower limbs. Our continuous efforts to design the ideal adaptive ...

Vaisman, Lev

40

A framework for nonparametric profile monitoring  

Science Journals Connector (OSTI)

Control charts have been widely used for monitoring the functional relationship between a response variable and some explanatory variable(s) (called profile) in various industrial applications. In this article, we propose an easy-to-implement framework ... Keywords: B-spline, Block bootstrap, Confidence band, Curve depth, Nonparametric profile monitoring

Shih-Chung Chuang; Ying-Chao Hung; Wen-Chi Tsai; Su-Fen Yang

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

User_TalentProfile  

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

Accessing and Modifying Talent Profile Accessing and Modifying Talent Profile © 2011 SuccessFactors, Inc. - 1 - SuccessFactors Learning Confidential. All rights reserved. Job Aid: Accessing and Modifying Talent Profile Purpose The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile information. Task A. Access Talent Profile Enter the web address (URL) of the user application into your browser Address field and press the Enter key. Enter your user ID in the User ID textbox. Enter your password in the Password textbox. Click Sign In. Access Talent Profile 4 Steps Task A Add Information to Talent Profile Sections 5 Steps Task B Edit Talent Profile Sections

42

LANSCE | News & Media | Profiles  

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

Profiles Shea Mosby: Lighting the way for nuclear science discoveries By Diana Del Mauro ADEPS Communications Photos by Richard Robinson, IRM-CAS Shea Mosby Cradling a heavy...

43

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity (megawatts)...

44

Management's Discussion & Analysis Profile  

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

7-26-2013. Management's Discussion & Analysis Profile The Bonneville Power Administration is a federal agency under the Department of Energy. BPA markets wholesale electrical power...

45

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity...

46

EIA - State Electricity Profiles  

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

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

47

EIA - State Electricity Profiles  

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

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

48

EIA - State Electricity Profiles  

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

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

49

EIA - State Electricity Profiles  

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

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

50

EIA - State Electricity Profiles  

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

Arizona Electricity Profile 2010 Arizona profile Arizona Electricity Profile 2010 Arizona profile Table 1. 2010 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,392 15 Electric Utilities 20,115 14 Independent Power Producers & Combined Heat and Power 6,277 16 Net Generation (megawatthours) 111,750,957 12 Electric Utilities 91,232,664 11 Independent Power Producers & Combined Heat and Power 20,518,293 17 Emissions (thousand metric tons) Sulfur Dioxide 33 33 Nitrogen Oxide 57 17 Carbon Dioxide 55,683 15 Sulfur Dioxide (lbs/MWh) 0.7 43 Nitrogen Oxide (lbs/MWh) 1.1 31 Carbon Dioxide (lbs/MWh) 1,099 35 Total Retail Sales (megawatthours) 72,831,737 21 Full Service Provider Sales (megawatthours) 72,831,737 20

51

EIA - State Electricity Profiles  

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

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

52

EIA - State Electricity Profiles  

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

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

53

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

54

EIA - State Electricity Profiles  

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

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

55

EIA - State Electricity Profiles  

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

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

56

EIA - State Electricity Profiles  

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

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

57

EIA - State Electricity Profiles  

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

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

58

EIA - State Electricity Profiles  

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

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

59

EIA - State Electricity Profiles  

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

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

60

EIA - State Electricity Profiles  

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

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

62

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mexico Electricity Profile 2010 New Mexico profile Mexico Electricity Profile 2010 New Mexico profile Table 1. 2010 Summary Statistics (New Mexico) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 8,130 36 Electric Utilities 6,345 33 Independent Power Producers & Combined Heat and Power 1,785 36 Net Generation (megawatthours) 36,251,542 37 Electric Utilities 30,848,406 33 Independent Power Producers & Combined Heat and Power 5,403,136 37 Emissions (thousand metric tons) Sulfur Dioxide 15 38 Nitrogen Oxide 56 19 Carbon Dioxide 29,379 31 Sulfur Dioxide (lbs/MWh) 0.9 42 Nitrogen Oxide (lbs/MWh) 3.4 5 Carbon Dioxide (lbs/MWh) 1,787 11 Total Retail Sales (megawatthours) 22,428,344 39 Full Service Provider Sales (megawatthours) 22,428,344 38

63

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

64

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Ohio Electricity Profile 2010 Ohio profile Ohio Electricity Profile 2010 Ohio profile Table 1. 2010 Summary Statistics (Ohio) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 33,071 8 Electric Utilities 20,179 13 Independent Power Producers & Combined Heat and Power 12,892 7 Net Generation (megawatthours) 143,598,337 7 Electric Utilities 92,198,096 10 Independent Power Producers & Combined Heat and Power 51,400,241 7 Emissions (thousand metric tons) Sulfur Dioxide 610 1 Nitrogen Oxide 122 3 Carbon Dioxide 121,964 4 Sulfur Dioxide (lbs/MWh) 9.4 1 Nitrogen Oxide (lbs/MWh) 1.9 17 Carbon Dioxide (lbs/MWh) 1,872 8 Total Retail Sales (megawatthours) 154,145,418 4 Full Service Provider Sales (megawatthours) 105,329,797 9

65

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Electricity Profile 2010 Arkansas profile Arkansas Electricity Profile 2010 Arkansas profile Table 1. 2010 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 15,981 25 Electric Utilities 11,488 23 Independent Power Producers & Combined Heat and Power 4,493 24 Net Generation (megawatthours) 61,000,185 25 Electric Utilities 47,108,063 20 Independent Power Producers & Combined Heat and Power 13,892,122 27 Emissions (thousand metric tons) Sulfur Dioxide 74 22 Nitrogen Oxide 40 29 Carbon Dioxide 34,018 28 Sulfur Dioxide (lbs/MWh) 2.7 22 Nitrogen Oxide (lbs/MWh) 1.5 24 Carbon Dioxide (lbs/MWh) 1,229 29 Total Retail Sales (megawatthours) 48,194,285 29 Full Service Provider Sales (megawatthours) 48,194,285 27

66

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

67

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

68

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

West Virginia Electricity Profile 2010 West Virginia profile West Virginia Electricity Profile 2010 West Virginia profile Table 1. 2010 Summary Statistics (West Virginia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 16,495 24 Electric Utilities 11,719 21 Independent Power Producers & Combined Heat and Power 4,775 19 Net Generation (megawatthours) 80,788,947 20 Electric Utilities 56,719,755 18 Independent Power Producers & Combined Heat and Power 24,069,192 13 Emissions (thousand metric tons) Sulfur Dioxide 105 20 Nitrogen Oxide 49 23 Carbon Dioxide 74,283 12 Sulfur Dioxide (lbs/MWh) 2.9 20 Nitrogen Oxide (lbs/MWh) 1.3 25 Carbon Dioxide (lbs/MWh) 2,027 5 Total Retail Sales (megawatthours) 32,031,803 34 Full Service Provider Sales (megawatthours) 32,031,803 33

69

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont Electricity Profile 2010 Vermont profile Vermont Electricity Profile 2010 Vermont profile Table 1. 2010 Summary Statistics (Vermont) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 1,128 50 Electric Utilities 260 45 Independent Power Producers & Combined Heat and Power 868 43 Net Generation (megawatthours) 6,619,990 49 Electric Utilities 720,853 44 Independent Power Producers & Combined Heat and Power 5,899,137 35 Emissions (thousand metric tons) Sulfur Dioxide * 51 Nitrogen Oxide 1 50 Carbon Dioxide 8 51 Sulfur Dioxide (lbs/MWh) * 51 Nitrogen Oxide (lbs/MWh) 0.2 51 Carbon Dioxide (lbs/MWh) 3 51 Total Retail Sales (megawatthours) 5,594,833 51 Full Service Provider Sales (megawatthours) 5,594,833 48 Direct Use (megawatthours) 19,806 47

70

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Electricity Profile 2010 Mississippi profile Mississippi Electricity Profile 2010 Mississippi profile Table 1. 2010 Summary Statistics (Mississippi) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 15,691 26 Electric Utilities 10,858 26 Independent Power Producers & Combined Heat and Power 4,833 18 Net Generation (megawatthours) 54,487,260 28 Electric Utilities 40,841,436 27 Independent Power Producers & Combined Heat and Power 13,645,824 28 Emissions (thousand metric tons) Sulfur Dioxide 59 26 Nitrogen Oxide 31 32 Carbon Dioxide 26,845 32 Sulfur Dioxide (lbs/MWh) 2.4 26 Nitrogen Oxide (lbs/MWh) 1.2 30 Carbon Dioxide (lbs/MWh) 1,086 36 Total Retail Sales (megawatthours) 49,687,166 28 Full Service Provider Sales (megawatthours) 49,687,166 26

71

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin Electricity Profile 2010 Wisconsin profile Wisconsin Electricity Profile 2010 Wisconsin profile Table 1. 2010 Summary Statistics (Wisconsin) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 17,836 23 Electric Utilities 13,098 19 Independent Power Producers & Combined Heat and Power 4,738 20 Net Generation (megawatthours) 64,314,067 24 Electric Utilities 45,579,970 22 Independent Power Producers & Combined Heat and Power 18,734,097 18 Emissions (thousand metric tons) Sulfur Dioxide 145 12 Nitrogen Oxide 49 25 Carbon Dioxide 47,238 19 Sulfur Dioxide (lbs/MWh) 5.0 9 Nitrogen Oxide (lbs/MWh) 1.7 20 Carbon Dioxide (lbs/MWh) 1,619 16 Total Retail Sales (megawatthours) 68,752,417 22 Full Service Provider Sales (megawatthours) 68,752,417 21

72

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

73

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Electricity Profile 2010 New Hampshire profile Hampshire Electricity Profile 2010 New Hampshire profile Table 1. 2010 Summary Statistics (New Hampshire) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 4,180 43 Electric Utilities 1,132 41 Independent Power Producers & Combined Heat and Power 3,048 32 Net Generation (megawatthours) 22,195,912 42 Electric Utilities 3,979,333 41 Independent Power Producers & Combined Heat and Power 18,216,579 19 Emissions (thousand metric tons) Sulfur Dioxide 34 32 Nitrogen Oxide 6 46 Carbon Dioxide 5,551 43 Sulfur Dioxide (lbs/MWh) 3.4 17 Nitrogen Oxide (lbs/MWh) 0.6 46 Carbon Dioxide (lbs/MWh) 551 47 Total Retail Sales (megawatthours) 10,890,074 47 Full Service Provider Sales (megawatthours) 7,712,938 45

74

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

75

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

76

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

77

EIA - State Electricity Profiles  

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

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

78

EIA - State Electricity Profiles  

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

Missouri Electricity Profile 2010 Missouri profile Missouri Electricity Profile 2010 Missouri profile Table 1. 2010 Summary Statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 21,739 18 Electric Utilities 20,360 12 Independent Power Producers & Combined Heat and Power 1,378 39 Net Generation (megawatthours) 92,312,989 18 Electric Utilities 90,176,805 12 Independent Power Producers & Combined Heat and Power 2,136,184 46 Emissions (thousand metric tons) Sulfur Dioxide 233 8 Nitrogen Oxide 56 18 Carbon Dioxide 78,815 10 Sulfur Dioxide (lbs/MWh) 5.6 6 Nitrogen Oxide (lbs/MWh) 1.3 26 Carbon Dioxide (lbs/MWh) 1,882 7 Total Retail Sales (megawatthours) 86,085,117 17 Full Service Provider Sales (megawatthours) 86,085,117 15

79

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

80

EIA - State Electricity Profiles  

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

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

82

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

83

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

84

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Dakota Electricity Profile 2010 North Dakota profile Dakota Electricity Profile 2010 North Dakota profile Table 1. 2010 Summary Statistics (North Dakota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 6,188 40 Electric Utilities 4,912 34 Independent Power Producers & Combined Heat and Power 1,276 40 Net Generation (megawatthours) 34,739,542 39 Electric Utilities 31,343,796 32 Independent Power Producers & Combined Heat and Power 3,395,746 41 Emissions (thousand metric tons) Sulfur Dioxide 116 17 Nitrogen Oxide 52 21 Carbon Dioxide 31,064 30 Sulfur Dioxide (lbs/MWh) 7.3 3 Nitrogen Oxide (lbs/MWh) 3.3 6 Carbon Dioxide (lbs/MWh) 1,971 6 Total Retail Sales (megawatthours) 12,956,263 42 Full Service Provider Sales (megawatthours) 12,956,263 41

85

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

86

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Electricity Profile 2010 Minnesota profile Minnesota Electricity Profile 2010 Minnesota profile Table 1. 2010 Summary Statistics (Minnesota) Item Value U.S. Rank NERC Region(s) MRO Primary Energy Source Coal Net Summer Capacity (megawatts) 14,715 27 Electric Utilities 11,547 22 Independent Power Producers & Combined Heat and Power 3,168 31 Net Generation (megawatthours) 53,670,227 29 Electric Utilities 45,428,599 23 Independent Power Producers & Combined Heat and Power 8,241,628 32 Emissions (thousand metric tons) Sulfur Dioxide 57 27 Nitrogen Oxide 44 27 Carbon Dioxide 32,946 29 Sulfur Dioxide (lbs/MWh) 2.3 27 Nitrogen Oxide (lbs/MWh) 1.8 18 Carbon Dioxide (lbs/MWh) 1,353 21 Total Retail Sales (megawatthours) 67,799,706 23 Full Service Provider Sales (megawatthours) 67,799,706 22

87

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Electricity Profile 2010 Maryland profile Maryland Electricity Profile 2010 Maryland profile Table 1. 2010 Summary Statistics (Maryland) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 12,516 33 Electric Utilities 80 47 Independent Power Producers & Combined Heat and Power 12,436 9 Net Generation (megawatthours) 43,607,264 33 Electric Utilities 2,996 48 Independent Power Producers & Combined Heat and Power 43,604,268 9 Emissions (thousand metric tons) Sulfur Dioxide 45 28 Nitrogen Oxide 25 34 Carbon Dioxide 26,369 33 Sulfur Dioxide (lbs/MWh) 2.3 29 Nitrogen Oxide (lbs/MWh) 1.3 29 Carbon Dioxide (lbs/MWh) 1,333 24 Total Retail Sales (megawatthours) 65,335,498 24 Full Service Provider Sales (megawatthours) 36,082,473 31

88

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

York Electricity Profile 2010 New York profile York Electricity Profile 2010 New York profile Table 1. 2010 Summary Statistics (New York) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 39,357 6 Electric Utilities 11,032 25 Independent Power Producers & Combined Heat and Power 28,325 5 Net Generation (megawatthours) 136,961,654 9 Electric Utilities 34,633,335 31 Independent Power Producers & Combined Heat and Power 102,328,319 5 Emissions (thousand metric tons) Sulfur Dioxide 62 25 Nitrogen Oxide 44 28 Carbon Dioxide 41,584 22 Sulfur Dioxide (lbs/MWh) 1.0 40 Nitrogen Oxide (lbs/MWh) 0.7 44 Carbon Dioxide (lbs/MWh) 669 42 Total Retail Sales (megawatthours) 144,623,573 7 Full Service Provider Sales (megawatthours) 79,119,769 18

89

EIA - State Electricity Profiles  

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

Carolina Electricity Profile 2010 North Carolina profile Carolina Electricity Profile 2010 North Carolina profile Table 1. 2010 Summary Statistics (North Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,674 12 Electric Utilities 25,553 6 Independent Power Producers & Combined Heat and Power 2,121 34 Net Generation (megawatthours) 128,678,483 10 Electric Utilities 121,251,138 3 Independent Power Producers & Combined Heat and Power 7,427,345 34 Emissions (thousand metric tons) Sulfur Dioxide 131 14 Nitrogen Oxide 57 16 Carbon Dioxide 73,241 13 Sulfur Dioxide (lbs/MWh) 2.2 31 Nitrogen Oxide (lbs/MWh) 1.0 34 Carbon Dioxide (lbs/MWh) 1,255 28 Total Retail Sales (megawatthours) 136,414,947 9 Full Service Provider Sales (megawatthours) 136,414,947 5

90

EIA - State Electricity Profiles  

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

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

91

EIA - State Electricity Profiles  

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

Iowa Electricity Profile 2010 Iowa profile Iowa Electricity Profile 2010 Iowa profile Table 1. 2010 Summary Statistics (Iowa) Item Value U.S. Rank NERC Region(s) MRO/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 14,592 28 Electric Utilities 11,282 24 Independent Power Producers & Combined Heat and Power 3,310 30 Net Generation (megawatthours) 57,508,721 26 Electric Utilities 46,188,988 21 Independent Power Producers & Combined Heat and Power 11,319,733 30 Emissions (thousand metric tons) Sulfur Dioxide 108 18 Nitrogen Oxide 50 22 Carbon Dioxide 47,211 20 Sulfur Dioxide (lbs/MWh) 4.1 11 Nitrogen Oxide (lbs/MWh) 1.9 14 Carbon Dioxide (lbs/MWh) 1,810 10 Total Retail Sales (megawatthours) 45,445,269 31 Full Service Provider Sales (megawatthours) 45,445,269 28

92

EIA - State Electricity Profiles  

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

Illinois Electricity Profile 2010 Illinois profile Illinois Electricity Profile 2010 Illinois profile Table 1. 2010 Summary Statistics (Illinois) Item Value U.S. Rank NERC Region(s) MRO/RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 44,127 5 Electric Utilities 4,800 35 Independent Power Producers & Combined Heat and Power 39,327 3 Net Generation (megawatthours) 201,351,872 5 Electric Utilities 12,418,332 35 Independent Power Producers & Combined Heat and Power 188,933,540 3 Emissions (thousand metric tons) Sulfur Dioxide 232 9 Nitrogen Oxide 83 8 Carbon Dioxide 103,128 6 Sulfur Dioxide (lbs/MWh) 2.5 25 Nitrogen Oxide (lbs/MWh) 0.9 38 Carbon Dioxide (lbs/MWh) 1,129 34 Total Retail Sales (megawatthours) 144,760,674 6 Full Service Provider Sales (megawatthours) 77,890,532 19

93

EIA - State Electricity Profiles  

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

Louisiana Electricity Profile 2010 Louisiana profile Louisiana Electricity Profile 2010 Louisiana profile Table 1. 2010 Summary Statistics (Louisiana) Item Value U.S. Rank NERC Region(s) SERC/SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 26,744 14 Electric Utilities 16,471 17 Independent Power Producers & Combined Heat and Power 10,272 10 Net Generation (megawatthours) 102,884,940 16 Electric Utilities 51,680,682 19 Independent Power Producers & Combined Heat and Power 51,204,258 8 Emissions (thousand metric tons) Sulfur Dioxide 126 15 Nitrogen Oxide 75 11 Carbon Dioxide 58,706 14 Sulfur Dioxide (lbs/MWh) 2.7 21 Nitrogen Oxide (lbs/MWh) 1.6 21 Carbon Dioxide (lbs/MWh) 1,258 27 Total Retail Sales (megawatthours) 85,079,692 18 Full Service Provider Sales (megawatthours) 85,079,692 16

94

EIA - State Electricity Profiles  

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

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

95

EIA - State Electricity Profiles  

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

Dakota Electricity Profile 2010 South Dakota profile Dakota Electricity Profile 2010 South Dakota profile Table 1. 2010 Summary Statistics (South Dakota) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,623 45 Electric Utilities 2,994 37 Independent Power Producers & Combined Heat and Power 629 48 Net Generation (megawatthours) 10,049,636 46 Electric Utilities 8,682,448 36 Independent Power Producers & Combined Heat and Power 1,367,188 47 Emissions (thousand metric tons) Sulfur Dioxide 12 43 Nitrogen Oxide 12 43 Carbon Dioxide 3,611 47 Sulfur Dioxide (lbs/MWh) 2.6 23 Nitrogen Oxide (lbs/MWh) 2.6 8 Carbon Dioxide (lbs/MWh) 792 41 Total Retail Sales (megawatthours) 11,356,149 46 Full Service Provider Sales (megawatthours) 11,356,149 42

96

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

97

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Electricity Profile 2010 Massachusetts profile Massachusetts Electricity Profile 2010 Massachusetts profile Table 1. 2010 Summary Statistics (Massachusetts) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 13,697 31 Electric Utilities 937 42 Independent Power Producers & Combined Heat and Power 12,760 8 Net Generation (megawatthours) 42,804,824 34 Electric Utilities 802,906 43 Independent Power Producers & Combined Heat and Power 42,001,918 10 Emissions (thousand metric tons) Sulfur Dioxide 35 31 Nitrogen Oxide 17 38 Carbon Dioxide 20,291 36 Sulfur Dioxide (lbs/MWh) 1.8 34 Nitrogen Oxide (lbs/MWh) 0.9 39 Carbon Dioxide (lbs/MWh) 1,045 38 Total Retail Sales (megawatthours) 57,123,422 26 Full Service Provider Sales (megawatthours) 31,822,942 34

98

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Electricity Profile 2010 Nebraska profile Nebraska Electricity Profile 2010 Nebraska profile Table 1. 2010 Summary Statistics (Nebraska) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 7,857 38 Electric Utilities 7,647 30 Independent Power Producers & Combined Heat and Power 210 50 Net Generation (megawatthours) 36,630,006 36 Electric Utilities 36,242,921 30 Independent Power Producers & Combined Heat and Power 387,085 50 Emissions (thousand metric tons) Sulfur Dioxide 65 24 Nitrogen Oxide 40 30 Carbon Dioxide 24,461 34 Sulfur Dioxide (lbs/MWh) 3.9 12 Nitrogen Oxide (lbs/MWh) 2.4 9 Carbon Dioxide (lbs/MWh) 1,472 19 Total Retail Sales (megawatthours) 29,849,460 36 Full Service Provider Sales (megawatthours) 29,849,460 35

99

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Montana Electricity Profile 2010 Montana profile Montana Electricity Profile 2010 Montana profile Table 1. 2010 Summary Statistics (Montana) Item Value U.S. Rank NERC Region(s) MRO/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 5,866 41 Electric Utilities 2,340 38 Independent Power Producers & Combined Heat and Power 3,526 27 Net Generation (megawatthours) 29,791,181 41 Electric Utilities 6,271,180 39 Independent Power Producers & Combined Heat and Power 23,520,001 14 Emissions (thousand metric tons) Sulfur Dioxide 22 35 Nitrogen Oxide 21 35 Carbon Dioxide 20,370 35 Sulfur Dioxide (lbs/MWh) 1.6 35 Nitrogen Oxide (lbs/MWh) 1.6 22 Carbon Dioxide (lbs/MWh) 1,507 18 Total Retail Sales (megawatthours) 13,423,138 41 Full Service Provider Sales (megawatthours) 10,803,422 43

100

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maine Electricity Profile 2010 Maine profile Maine Electricity Profile 2010 Maine profile Table 1. 2010 Summary Statistics (Maine) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Gas Net Summer Capacity (megawatts) 4,430 42 Electric Utilities 19 49 Independent Power Producers & Combined Heat and Power 4,410 25 Net Generation (megawatthours) 17,018,660 43 Electric Utilities 1,759 49 Independent Power Producers & Combined Heat and Power 17,016,901 22 Emissions (thousand metric tons) Sulfur Dioxide 12 42 Nitrogen Oxide 8 44 Carbon Dioxide 4,948 44 Sulfur Dioxide (lbs/MWh) 1.6 36 Nitrogen Oxide (lbs/MWh) 1.1 33 Carbon Dioxide (lbs/MWh) 641 44 Total Retail Sales (megawatthours) 11,531,568 45 Full Service Provider Sales (megawatthours) 151,588 51 Energy-Only Provider Sales (megawatthours) 11,379,980 10

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

102

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Electricity Profile 2010 Florida profile Florida Electricity Profile 2010 Florida profile Table 1. 2010 Summary Statistics (Florida) Item Value U.S. Rank NERC Region(s) FRCC/SERC Primary Energy Source Gas Net Summer Capacity (megawatts) 59,147 3 Electric Utilities 50,853 1 Independent Power Producers & Combined Heat and Power 8,294 13 Net Generation (megawatthours) 229,095,935 3 Electric Utilities 206,062,185 1 Independent Power Producers & Combined Heat and Power 23,033,750 15 Emissions (thousand metric tons) Sulfur Dioxide 160 11 Nitrogen Oxide 101 5 Carbon Dioxide 123,811 2 Sulfur Dioxide (lbs/MWh) 1.5 37 Nitrogen Oxide (lbs/MWh) 1.0 35 Carbon Dioxide (lbs/MWh) 1,191 31 Total Retail Sales (megawatthours) 231,209,614 3 Full Service Provider Sales (megawatthours) 231,209,614 3

103

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hawaii Electricity Profile 2010 Hawaii profile Hawaii Electricity Profile 2010 Hawaii profile Table 1. 2010 Summary Statistics (Hawaii) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Petroleum Net Summer Capacity (megawatts) 2,536 47 Electric Utilities 1,828 40 Independent Power Producers & Combined Heat and Power 708 47 Net Generation (megawatthours) 10,836,036 45 Electric Utilities 6,416,068 38 Independent Power Producers & Combined Heat and Power 4,419,968 38 Emissions (thousand metric tons) Sulfur Dioxide 17 36 Nitrogen Oxide 21 36 Carbon Dioxide 8,287 42 Sulfur Dioxide (lbs/MWh) 3.4 16 Nitrogen Oxide (lbs/MWh) 4.3 2 Carbon Dioxide (lbs/MWh) 1,686 13 Total Retail Sales (megawatthours) 10,016,509 48 Full Service Provider Sales (megawatthours) 10,016,509 44

104

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

105

EIA - State Electricity Profiles  

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

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

106

profiles | OpenEI  

Open Energy Info (EERE)

profiles profiles Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

107

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

108

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Electricity Profile 2010 California profile California Electricity Profile 2010 California profile Table 1. 2010 Summary Statistics (California) Item Value U.S. Rank NERC Region(s) SPP/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 67,328 2 Electric Utilities 28,689 2 Independent Power Producers & Combined Heat and Power 38,639 4 Net Generation (megawatthours) 204,125,596 4 Electric Utilities 96,939,535 8 Independent Power Producers & Combined Heat and Power 107,186,061 4 Emissions (thousand metric tons) Sulfur Dioxide 3 47 Nitrogen Oxide 80 9 Carbon Dioxide 55,406 16 Sulfur Dioxide (lbs/MWh) * 49 Nitrogen Oxide (lbs/MWh) 0.9 41 Carbon Dioxide (lbs/MWh) 598 46 Total Retail Sales (megawatthours) 258,525,414 2 Full Service Provider Sales (megawatthours) 240,948,673 2

109

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

110

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia Electricity Profile 2010 District of Columbia profile District of Columbia Electricity Profile 2010 District of Columbia profile Table 1. 2010 Summary Statistics (District of Columbia) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Petroleum Net Summer Capacity (megawatts) 790 51 Independent Power Producers & Combined Heat and Power 790 46 Net Generation (megawatthours) 199,858 51 Independent Power Producers & Combined Heat and Power 199,858 51 Emissions (thousand metric tons) Sulfur Dioxide 1 49 Nitrogen Oxide * 51 Carbon Dioxide 191 50 Sulfur Dioxide (lbs/MWh) 8.8 2 Nitrogen Oxide (lbs/MWh) 4.0 3 Carbon Dioxide (lbs/MWh) 2,104 1 Total Retail Sales (megawatthours) 11,876,995 43 Full Service Provider Sales (megawatthours) 3,388,490 50 Energy-Only Provider Sales (megawatthours) 8,488,505 12

111

EIA - State Electricity Profiles  

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

Virginia Electricity Profile 2010 Virginia profile Virginia Electricity Profile 2010 Virginia profile Table 1. 2010 Summary Statistics (Virginia) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 24,109 16 Electric Utilities 19,434 15 Independent Power Producers & Combined Heat and Power 4,676 21 Net Generation (megawatthours) 72,966,456 21 Electric Utilities 58,902,054 16 Independent Power Producers & Combined Heat and Power 14,064,402 25 Emissions (thousand metric tons) Sulfur Dioxide 120 16 Nitrogen Oxide 49 24 Carbon Dioxide 39,719 25 Sulfur Dioxide (lbs/MWh) 3.6 15 Nitrogen Oxide (lbs/MWh) 1.5 23 Carbon Dioxide (lbs/MWh) 1,200 30 Total Retail Sales (megawatthours) 113,806,135 10 Full Service Provider Sales (megawatthours) 113,806,135 7

112

EIA - State Electricity Profiles  

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

Delaware Electricity Profile 2010 Delaware profile Delaware Electricity Profile 2010 Delaware profile Table 1. 2010 Summary Statistics (Delaware) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Gas Net Summer Capacity (megawatts) 3,389 46 Electric Utilities 55 48 Independent Power Producers & Combined Heat and Power 3,334 29 Net Generation (megawatthours) 5,627,645 50 Electric Utilities 30,059 46 Independent Power Producers & Combined Heat and Power 5,597,586 36 Emissions (thousand metric tons) Sulfur Dioxide 13 41 Nitrogen Oxide 5 47 Carbon Dioxide 4,187 45 Sulfur Dioxide (lbs/MWh) 5.2 7 Nitrogen Oxide (lbs/MWh) 1.9 16 Carbon Dioxide (lbs/MWh) 1,640 15 Total Retail Sales (megawatthours) 11,605,932 44 Full Service Provider Sales (megawatthours) 7,582,539 46

113

EIA - State Electricity Profiles  

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

Colorado Electricity Profile 2010 Colorado profile Colorado Electricity Profile 2010 Colorado profile Table 1. 2010 Summary Statistics (Colorado) Item Value U.S. Rank NERC Region(s) RFC/WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 13,777 30 Electric Utilities 9,114 28 Independent Power Producers & Combined Heat and Power 4,662 22 Net Generation (megawatthours) 50,720,792 30 Electric Utilities 39,584,166 28 Independent Power Producers & Combined Heat and Power 11,136,626 31 Emissions (thousand metric tons) Sulfur Dioxide 45 29 Nitrogen Oxide 55 20 Carbon Dioxide 40,499 24 Sulfur Dioxide (lbs/MWh) 2.0 32 Nitrogen Oxide (lbs/MWh) 2.4 10 Carbon Dioxide (lbs/MWh) 1,760 12 Total Retail Sales (megawatthours) 52,917,786 27 Full Service Provider Sales (megawatthours) 52,917,786 24

114

EIA - State Electricity Profiles  

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

Kansas Electricity Profile 2010 Kansas profile Kansas Electricity Profile 2010 Kansas profile Table 1. 2010 Summary Statistics (Kansas) Item Value U.S. Rank NERC Region(s) MRO/SPP Primary Energy Source Coal Net Summer Capacity (megawatts) 12,543 32 Electric Utilities 11,732 20 Independent Power Producers & Combined Heat and Power 812 45 Net Generation (megawatthours) 47,923,762 32 Electric Utilities 45,270,047 24 Independent Power Producers & Combined Heat and Power 2,653,716 44 Emissions (thousand metric tons) Sulfur Dioxide 41 30 Nitrogen Oxide 46 26 Carbon Dioxide 36,321 26 Sulfur Dioxide (lbs/MWh) 1.9 33 Nitrogen Oxide (lbs/MWh) 2.1 13 Carbon Dioxide (lbs/MWh) 1,671 14 Total Retail Sales (megawatthours) 40,420,675 32 Full Service Provider Sales (megawatthours) 40,420,675 30

115

EIA - State Electricity Profiles  

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

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

116

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Electricity Profile 2010 Pennsylvania profile Pennsylvania Electricity Profile 2010 Pennsylvania profile Table 1. 2010 Summary Statistics (Pennsylvania) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 45,575 4 Electric Utilities 455 44 Independent Power Producers & Combined Heat and Power 45,120 2 Net Generation (megawatthours) 229,752,306 2 Electric Utilities 1,086,500 42 Independent Power Producers & Combined Heat and Power 228,665,806 2 Emissions (thousand metric tons) Sulfur Dioxide 387 3 Nitrogen Oxide 136 2 Carbon Dioxide 122,830 3 Sulfur Dioxide (lbs/MWh) 3.7 13 Nitrogen Oxide (lbs/MWh) 1.3 27 Carbon Dioxide (lbs/MWh) 1,179 32 Total Retail Sales (megawatthours) 148,963,968 5 Full Service Provider Sales (megawatthours) 114,787,417 6

117

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wyoming Electricity Profile 2010 Wyoming profile Wyoming Electricity Profile 2010 Wyoming profile Table 1. 2010 Summary Statistics (Wyoming) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,986 37 Electric Utilities 6,931 31 Independent Power Producers & Combined Heat and Power 1,056 41 Net Generation (megawatthours) 48,119,254 31 Electric Utilities 44,738,543 25 Independent Power Producers & Combined Heat and Power 3,380,711 42 Emissions (thousand metric tons) Sulfur Dioxide 67 23 Nitrogen Oxide 61 15 Carbon Dioxide 45,703 21 Sulfur Dioxide (lbs/MWh) 3.1 19 Nitrogen Oxide (lbs/MWh) 2.8 7 Carbon Dioxide (lbs/MWh) 2,094 2 Total Retail Sales (megawatthours) 17,113,458 40 Full Service Provider Sales (megawatthours) 17,113,458 39

118

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kentucky Electricity Profile 2010 Kentucky profile Kentucky Electricity Profile 2010 Kentucky profile Table 1. 2010 Summary Statistics (Kentucky) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 20,453 21 Electric Utilities 18,945 16 Independent Power Producers & Combined Heat and Power 1,507 38 Net Generation (megawatthours) 98,217,658 17 Electric Utilities 97,472,144 7 Independent Power Producers & Combined Heat and Power 745,514 48 Emissions (thousand metric tons) Sulfur Dioxide 249 7 Nitrogen Oxide 85 7 Carbon Dioxide 93,160 7 Sulfur Dioxide (lbs/MWh) 5.6 5 Nitrogen Oxide (lbs/MWh) 1.9 15 Carbon Dioxide (lbs/MWh) 2,091 3 Total Retail Sales (megawatthours) 93,569,426 14 Full Service Provider Sales (megawatthours) 93,569,426 12

119

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Electricity Profile 2010 Michigan profile Michigan Electricity Profile 2010 Michigan profile Table 1. 2010 Summary Statistics (Michigan) Item Value U.S. Rank NERC Region(s) MRO/RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 29,831 11 Electric Utilities 21,639 10 Independent Power Producers & Combined Heat and Power 8,192 14 Net Generation (megawatthours) 111,551,371 13 Electric Utilities 89,666,874 13 Independent Power Producers & Combined Heat and Power 21,884,497 16 Emissions (thousand metric tons) Sulfur Dioxide 254 6 Nitrogen Oxide 89 6 Carbon Dioxide 74,480 11 Sulfur Dioxide (lbs/MWh) 5.0 8 Nitrogen Oxide (lbs/MWh) 1.8 19 Carbon Dioxide (lbs/MWh) 1,472 20 Total Retail Sales (megawatthours) 103,649,219 12 Full Service Provider Sales (megawatthours) 94,565,247 11

120

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Electricity Profile 2010 Alabama profile Alabama Electricity Profile 2010 Alabama profile Table 1. 2010 Summary Statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 32,417 9 Electric Utilities 23,642 7 Independent Power Producers & Combined Heat and Power 8,775 12 Net Generation (megawatthours) 152,150,512 6 Electric Utilities 122,766,490 2 Independent Power Producers & Combined Heat and Power 29,384,022 12 Emissions (thousand metric tons) Sulfur Dioxide 218 10 Nitrogen Oxide 66 14 Carbon Dioxide 79,375 9 Sulfur Dioxide (lbs/MWh) 3.2 18 Nitrogen Oxide (lbs/MWh) 1.0 36 Carbon Dioxide (lbs/MWh) 1,150 33 Total Retail Sales (megawatthours) 90,862,645 15 Full Service Provider Sales (megawatthours) 90,862,645 13

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,837 14...

122

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,587...

123

Profiling for Performance  

Science Journals Connector (OSTI)

Performance and profiling are critical words in our everyday conversations in the office where I work, in our engagements with clients, and in our teaching. Both words apply equally well to all aspec...

Ron Crisco

2011-01-01T23:59:59.000Z

124

EIA - State Electricity Profiles  

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

Connecticut Electricity Profile 2010 Connecticut profile Connecticut Electricity Profile 2010 Connecticut profile Table 1. 2010 Summary Statistics (Connecticut) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 8,284 35 Electric Utilities 160 46 Independent Power Producers & Combined Heat and Power 8,124 15 Net Generation (megawatthours) 33,349,623 40 Electric Utilities 65,570 45 Independent Power Producers & Combined Heat and Power 33,284,053 11 Emissions (thousand metric tons) Sulfur Dioxide 2 48 Nitrogen Oxide 7 45 Carbon Dioxide 9,201 41 Sulfur Dioxide (lbs/MWh) 0.1 48 Nitrogen Oxide (lbs/MWh) 0.5 49 Carbon Dioxide (lbs/MWh) 608 45 Total Retail Sales (megawatthours) 30,391,766 35 Full Service Provider Sales (megawatthours) 13,714,958 40

125

EIA - State Electricity Profiles  

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

Utah Electricity Profile 2010 Utah profile Utah Electricity Profile 2010 Utah profile Table 1. 2010 Summary Statistics (Utah) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 7,497 39 Electric Utilities 6,648 32 Independent Power Producers & Combined Heat and Power 849 44 Net Generation (megawatthours) 42,249,355 35 Electric Utilities 39,522,124 29 Independent Power Producers & Combined Heat and Power 2,727,231 43 Emissions (thousand metric tons) Sulfur Dioxide 25 34 Nitrogen Oxide 68 13 Carbon Dioxide 35,519 27 Sulfur Dioxide (lbs/MWh) 1.3 38 Nitrogen Oxide (lbs/MWh) 3.6 4 Carbon Dioxide (lbs/MWh) 1,853 9 Total Retail Sales (megawatthours) 28,044,001 37 Full Service Provider Sales (megawatthours) 28,044,001 36

126

EIA - State Electricity Profiles  

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

Carolina Electricity Profile 2010 South Carolina profile Carolina Electricity Profile 2010 South Carolina profile Table 1. 2010 Summary Statistics (South Carolina) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 23,982 17 Electric Utilities 22,172 9 Independent Power Producers & Combined Heat and Power 1,810 35 Net Generation (megawatthours) 104,153,133 14 Electric Utilities 100,610,887 6 Independent Power Producers & Combined Heat and Power 3,542,246 39 Emissions (thousand metric tons) Sulfur Dioxide 106 19 Nitrogen Oxide 30 33 Carbon Dioxide 41,364 23 Sulfur Dioxide (lbs/MWh) 2.2 30 Nitrogen Oxide (lbs/MWh) 0.6 45 Carbon Dioxide (lbs/MWh) 876 40 Total Retail Sales (megawatthours) 82,479,293 19 Full Service Provider Sales (megawatthours) 82,479,293 17

127

EIA - State Electricity Profiles  

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

Alaska Electricity Profile 2010 Alaska profile Alaska Electricity Profile 2010 Alaska profile Table 1. 2010 Summary Statistics (Alaska) Item Value U.S. Rank NERC Region(s) -- Primary Energy Source Gas Net Summer Capacity (megawatts) 2,067 48 Electric Utilities 1,889 39 Independent Power Producers & Combined Heat and Power 178 51 Net Generation (megawatthours) 6,759,576 48 Electric Utilities 6,205,050 40 Independent Power Producers & Combined Heat and Power 554,526 49 Emissions (thousand metric tons) Sulfur Dioxide 3 46 Nitrogen Oxide 16 39 Carbon Dioxide 4,125 46 Sulfur Dioxide (lbs/MWh) 1.0 41 Nitrogen Oxide (lbs/MWh) 5.2 1 Carbon Dioxide (lbs/MWh) 1,345 23 Total Retail Sales (megawatthours) 6,247,038 50 Full Service Provider Sales (megawatthours) 6,247,038 47

128

EIA - State Electricity Profiles  

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

Nevada Electricity Profile 2010 Nevada profile Nevada Electricity Profile 2010 Nevada profile Table 1. 2010 Summary Statistics (Nevada) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 11,421 34 Electric Utilities 8,713 29 Independent Power Producers & Combined Heat and Power 2,708 33 Net Generation (megawatthours) 35,146,248 38 Electric Utilities 23,710,917 34 Independent Power Producers & Combined Heat and Power 11,435,331 29 Emissions (thousand metric tons) Sulfur Dioxide 7 44 Nitrogen Oxide 15 40 Carbon Dioxide 17,020 38 Sulfur Dioxide (lbs/MWh) 0.4 46 Nitrogen Oxide (lbs/MWh) 1.0 37 Carbon Dioxide (lbs/MWh) 1,068 37 Total Retail Sales (megawatthours) 33,772,595 33 Full Service Provider Sales (megawatthours) 32,348,879 32

129

EIA - State Electricity Profiles  

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

Washington Electricity Profile 2010 Washington profile Washington Electricity Profile 2010 Washington profile Table 1. 2010 Summary Statistics (Washington) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 30,478 10 Electric Utilities 26,498 5 Independent Power Producers & Combined Heat and Power 3,979 26 Net Generation (megawatthours) 103,472,729 15 Electric Utilities 88,057,219 14 Independent Power Producers & Combined Heat and Power 15,415,510 23 Emissions (thousand metric tons) Sulfur Dioxide 14 39 Nitrogen Oxide 21 37 Carbon Dioxide 13,984 39 Sulfur Dioxide (lbs/MWh) 0.3 47 Nitrogen Oxide (lbs/MWh) 0.4 50 Carbon Dioxide (lbs/MWh) 298 49 Total Retail Sales (megawatthours) 90,379,970 16 Full Service Provider Sales (megawatthours) 88,116,958 14

130

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Oregon Electricity Profile 2010 Oregon profile Oregon Electricity Profile 2010 Oregon profile Table 1. 2010 Summary Statistics (Oregon) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 14,261 29 Electric Utilities 10,846 27 Independent Power Producers & Combined Heat and Power 3,415 28 Net Generation (megawatthours) 55,126,999 27 Electric Utilities 41,142,684 26 Independent Power Producers & Combined Heat and Power 13,984,316 26 Emissions (thousand metric tons) Sulfur Dioxide 16 37 Nitrogen Oxide 15 42 Carbon Dioxide 10,094 40 Sulfur Dioxide (lbs/MWh) 0.6 44 Nitrogen Oxide (lbs/MWh) 0.6 47 Carbon Dioxide (lbs/MWh) 404 48 Total Retail Sales (megawatthours) 46,025,945 30 Full Service Provider Sales (megawatthours) 44,525,865 29

131

EIA - State Electricity Profiles  

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

Texas Electricity Profile 2010 Texas profile Texas Electricity Profile 2010 Texas profile Table 1. 2010 Summary Statistics (Texas) Item Value U.S. Rank NERC Region(s) SERC/SPP/TRE/WECC Primary Energy Source Gas Net Summer Capacity (megawatts) 108,258 1 Electric Utilities 26,533 4 Independent Power Producers & Combined Heat and Power 81,724 1 Net Generation (megawatthours) 411,695,046 1 Electric Utilities 95,099,161 9 Independent Power Producers & Combined Heat and Power 316,595,885 1 Emissions (thousand metric tons) Sulfur Dioxide 430 2 Nitrogen Oxide 204 1 Carbon Dioxide 251,409 1 Sulfur Dioxide (lbs/MWh) 2.3 28 Nitrogen Oxide (lbs/MWh) 1.1 32 Carbon Dioxide (lbs/MWh) 1,346 22 Total Retail Sales (megawatthours) 358,457,550 1 Full Service Provider Sales (megawatthours) 358,457,550 1

132

EIA - State Electricity Profiles  

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

Indiana Electricity Profile 2010 Indiana profile Indiana Electricity Profile 2010 Indiana profile Table 1. 2010 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,638 13 Electric Utilities 23,008 8 Independent Power Producers & Combined Heat and Power 4,630 23 Net Generation (megawatthours) 125,180,739 11 Electric Utilities 107,852,560 5 Independent Power Producers & Combined Heat and Power 17,328,179 20 Emissions (thousand metric tons) Sulfur Dioxide 385 4 Nitrogen Oxide 120 4 Carbon Dioxide 116,283 5 Sulfur Dioxide (lbs/MWh) 6.8 4 Nitrogen Oxide (lbs/MWh) 2.1 12 Carbon Dioxide (lbs/MWh) 2,048 4 Total Retail Sales (megawatthours) 105,994,376 11 Full Service Provider Sales (megawatthours) 105,994,376 8

133

EIA - State Electricity Profiles  

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

Oklahoma Electricity Profile 2010 Oklahoma profile Oklahoma Electricity Profile 2010 Oklahoma profile Table 1. 2010 Summary Statistics (Oklahoma) Item Value U.S. Rank NERC Region(s) SPP Primary Energy Source Gas Net Summer Capacity (megawatts) 21,022 20 Electric Utilities 16,015 18 Independent Power Producers & Combined Heat and Power 5,006 17 Net Generation (megawatthours) 72,250,733 22 Electric Utilities 57,421,195 17 Independent Power Producers & Combined Heat and Power 14,829,538 24 Emissions (thousand metric tons) Sulfur Dioxide 85 21 Nitrogen Oxide 71 12 Carbon Dioxide 49,536 17 Sulfur Dioxide (lbs/MWh) 2.6 24 Nitrogen Oxide (lbs/MWh) 2.2 11 Carbon Dioxide (lbs/MWh) 1,512 17 Total Retail Sales (megawatthours) 57,845,980 25 Full Service Provider Sales (megawatthours) 57,845,980 23

134

EIA - State Electricity Profiles  

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

Jersey Electricity Profile 2010 New Jersey profile Jersey Electricity Profile 2010 New Jersey profile Table 1. 2010 Summary Statistics (New Jersey) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 18,424 22 Electric Utilities 460 43 Independent Power Producers & Combined Heat and Power 17,964 6 Net Generation (megawatthours) 65,682,494 23 Electric Utilities -186,385 50 Independent Power Producers & Combined Heat and Power 65,868,878 6 Emissions (thousand metric tons) Sulfur Dioxide 14 40 Nitrogen Oxide 15 41 Carbon Dioxide 19,160 37 Sulfur Dioxide (lbs/MWh) 0.5 45 Nitrogen Oxide (lbs/MWh) 0.5 48 Carbon Dioxide (lbs/MWh) 643 43 Total Retail Sales (megawatthours) 79,179,427 20 Full Service Provider Sales (megawatthours) 50,482,035 25

135

EIA - State Electricity Profiles  

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

Idaho Electricity Profile 2010 Idaho profile Idaho Electricity Profile 2010 Idaho profile Table 1. 2010 Summary Statistics (Idaho) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 3,990 44 Electric Utilities 3,035 36 Independent Power Producers & Combined Heat and Power 955 42 Net Generation (megawatthours) 12,024,564 44 Electric Utilities 8,589,208 37 Independent Power Producers & Combined Heat and Power 3,435,356 40 Emissions (thousand metric tons) Sulfur Dioxide 7 45 Nitrogen Oxide 4 48 Carbon Dioxide 1,213 49 Sulfur Dioxide (lbs/MWh) 1.2 39 Nitrogen Oxide (lbs/MWh) 0.8 43 Carbon Dioxide (lbs/MWh) 222 50 Total Retail Sales (megawatthours) 22,797,668 38 Full Service Provider Sales (megawatthours) 22,797,668 37

136

Restoring the Patient Control over her Medical History1 Nicolas Anciaux*  

E-Print Network [OSTI]

-social networks, but they introduce some burning issues (e.g. privacy protection, remote access to the folder the day-to-day use of this paper folder has proved its efficiency, some burning issues are still prone and time waste task. 1.2. Motivation During the last decade, several countries launched ambitious

137

Using Dublin Core application profiles to manage diverse metadata developments  

Science Journals Connector (OSTI)

This paper discusses the use of Dublin Core application profiles at the British Library as part of a resource discovery strategy. It shows how they can be used to control the proliferation of metadata formats in digitisation activity and provide interoperability ... Keywords: British library, Dublin Core application profiles, SRU, Z39.50, gateway, interoperability, metadata formats, resource discovery strategy

Robina Clayphan; Bill Oldroyd

2005-09-01T23:59:59.000Z

138

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

Performance Profiles of Major Energy Producers 2009 Performance Profiles of Major Energy Producers 2009 vii Major Findings This edition of Performance Profiles reviews financial and operating data for the calendar year 2009 and discusses important trends and emerging issues relevant to U.S. energy company operations. Major U.S.-based oil and natural gas producers and petroleum refiners submit the data in this report annually on Form EIA-28, the Financial Reporting System (FRS). FRS companies' net income declined to the lowest level since 2002.  Net income fell 66 percent (in constant 2009 dollars) to $30 billion in 2009 from $88 billion in 2008. Substantial reductions in oil and natural gas prices in 2009 slowed revenue growth. FRS companies cut operating costs but by less than the decline in revenue, resulting in a 69-percent drop in operating income.

139

State Nuclear Profiles 2010  

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

State Nuclear Profiles 2010 State Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. U.S. Energy Information Administration | State Nuclear Profiles 2010 i Contacts This report was prepared by the staff of the Renewables and Uranium Statistics Team, Office of Electricity,

140

Institutional Investors, Managerial Incentives, and Firms' Risk Profiles  

E-Print Network [OSTI]

(Vega). Instead, I find that institutional investors appear to influence the risk profile of firm through the firm’s investment, financing and diversification policy choices even after I control for the CEO’s compensation structure. The results suggest...

Celil, Hursit S

2013-04-11T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Nuclear Profiles  

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

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

142

EIA - State Nuclear Profiles  

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

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

143

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

144

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

145

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

146

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

147

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031 22.1 296 0.7 Total 13,697 100.0 42,805 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

148

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

149

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Florida Nuclear Profile 2010 Florida profile Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3 9,122 4.0 Total 59,147 100.0 229,096 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

150

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

151

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

152

EIA - State Nuclear Profiles  

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

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

153

EIA - State Nuclear Profiles  

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

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

154

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

155

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

156

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

North Carolina Nuclear Profile 2010 North Carolina profile North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6 Petroleum 573 2.1 293 0.2 Total 27,674 100.0 128,678 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

157

EIA - State Nuclear Profiles  

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

Hampshire Nuclear Profile 2010 New Hampshire profile Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0 72 0.3 Total 4,180 100.0 22,196 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

158

EIA - State Nuclear Profiles  

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

Georgia Nuclear Profile 2010 Georgia profile Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5 Total 36,636 100.0 128,698 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

159

EIA - State Nuclear Profiles  

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

Michigan Nuclear Profile 2010 Michigan profile Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3 Total 29,831 100.0 111,551 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

160

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Louisiana Nuclear Profile 2010 Louisiana profile Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3 3,281 3.2 Total 26,744 100.0 102,885 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Illinois Nuclear Profile 2010 Illinois profile Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110 0.1 Total 44,127 100.0 201,352 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

162

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

163

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Iowa Nuclear Profile 2010 Iowa profile Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

164

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Minnesota Nuclear Profile 2010 Minnesota profile Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31 0.1 Total 14,715 100.0 53,670 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

165

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

166

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

167

EIA - State Nuclear Profiles  

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

Mississippi Nuclear Profile 2010 Mississippi profile Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

168

EIA - State Nuclear Profiles  

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

Arkansas Nuclear Profile 2010 Arkansas profile Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total 15,981 100.0 61,000 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable * = Absolute percentage less than 0.05.

169

EIA - State Nuclear Profiles  

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

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

170

EIA - State Nuclear Profiles  

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

Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8 Petroleum 4,534 9.9 571 0.2 Total 45,575 100.0 229,752 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

171

EIA - State Nuclear Profiles  

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

Ohio Nuclear Profile 2010 Ohio profile Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total 33,071 100.0 143,598 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

172

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Arizona Nuclear Profile 2010 Arizona profile Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total 26,392 100.0 111,751 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

173

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Kansas Nuclear Profile 2010 Kansas profile Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05. Notes: Totals may not equal sum of components due to independent rounding.

174

EIA - State Nuclear Profiles  

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

Jersey Nuclear Profile 2010 New Jersey profile Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235 0.4 Total 18,424 100.0 65,682 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

175

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

176

EIA - State Nuclear Profiles  

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

Alabama Nuclear Profile 2010 Alabama profile Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200 0.1 Total 32,417 100.0 152,151 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

177

EIA - State Nuclear Profiles  

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

Missouri Nuclear Profile 2010 Missouri profile Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total 21,739 100.0 92,313 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

178

EIA - State Nuclear Profiles  

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

California Nuclear Profile 2010 California profile California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum 701 1.0 1,059 0.5 Total 63,328 100.0 204,126 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

179

EIA - State Nuclear Profiles  

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

Maryland Nuclear Profile 2010 Maryland profile Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322 0.7 Total 12,516 100.0 43,607 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

180

EIA - State Nuclear Profiles  

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

Connecticut Nuclear Profile 2010 Connecticut profile Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409 1.2 Total 8,284 100.0 33,350 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Nuclear Profiles  

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

York Nuclear Profile 2010 New York profile York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3 2,005 1.5 Total 39,357 100.0 136,962 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable.

182

EIA - State Nuclear Profiles  

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

Nebraska Nuclear Profile 2010 Nebraska profile Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

183

Debugging & Profiling | Argonne Leadership Computing Facility  

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

Debugging & Profiling Debugging & Profiling Allinea DDT Core File Settings Determining Memory Use Using VNC with a Debugger bgq_stack gdb Coreprocessor TotalView on BG/Q Systems Performance Tools & APIs Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Debugging & Profiling Initial setups Core file settings - this page contains some environment variables that allow you to control code file creation and contents. Using VNC with a Debugger - when displaying an X11 client (e.g. Totalview) remotely over the network, interactive response is typically slow. Using the VNC server can often help you improve the situation.

184

EIA - State Electricity Profiles  

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

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

185

Performance profiles style sheet  

Gasoline and Diesel Fuel Update (EIA)

06) 06) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2006 December 2007 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts Performance Profiles of Major Energy Producers 2006 is prepared by the Energy Information Administration, Office of Energy Markets and End Use, Energy Markets and Contingency Information Division, Financial

186

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Tennessee Electricity Profile 2010 Tennessee full report Tennessee Electricity Profile 2010 Tennessee full report Table 1. 2010 Summary Statistics (Tennessee) Item Value U.S. Rank NERC Region(s) RFC/SERC Primary Energy Source Coal Net Summer Capacity (megawatts) 21,417 19 Electric Utilities 20,968 11 Independent Power Producers & Combined Heat and Power 450 49 Net Generation (megawatthours) 82,348,625 19 Electric Utilities 79,816,049 15 Independent Power Producers & Combined Heat and Power 2,532,576 45 Emissions (thousand metric tons) Sulfur Dioxide 138 13 Nitrogen Oxide 33 31 Carbon Dioxide 48,196 18 Sulfur Dioxide (lbs/MWh) 3.7 14 Nitrogen Oxide (lbs/MWh) 0.9 40 Carbon Dioxide (lbs/MWh) 1,290 26 Total Retail Sales (megawatthours) 103,521,537 13 Full Service Provider Sales (megawatthours) 103,521,537 10

187

Chemical profiles of switchgrass  

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

profiles profiles of switchgrass Zhoujian Hu a,b , Robert Sykes a,c , Mark F. Davis a,c , E. Charles Brummer a,d , Arthur J. Ragauskas a,b,e, * a BioEnergy Science Center, USA b School of Chemistry and Biochemistry, Institute of Paper Science and Technology, Georgia Institute of Technology, Atlanta, GA 30332, USA c National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401, USA d Institute for Plant Breeding, Genetics, and Genomics, Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA e Forest Products and Chemical Engineering Department, Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Göteborg, Sweden a r t i c l e i n f o Article history: Received 15 April 2009 Received in revised form 10 December 2009 Accepted 10 December 2009 Available online 13 January 2010 Keywords: Switchgrass Morphological components Chemical

188

Temperature profile detector  

DOE Patents [OSTI]

Disclosed is a temperature profile detector shown as a tubular enclosure surrounding an elongated electrical conductor having a plurality of meltable conductive segments surrounding it. Duplicative meltable segments are spaced apart from one another along the length of the enclosure. Electrical insulators surround these elements to confine molten material from the segments in bridging contact between the conductor and a second electrical conductor, which might be the confining tube. The location and rate of growth of the resulting short circuits between the two conductors can be monitored by measuring changes in electrical resistance between terminals at both ends of the two conductors. Additional conductors and separate sets of meltable segments operational at differing temperatures can be monitored simultaneously for measuring different temperature profiles. 8 figs.

Tokarz, R.D.

1983-10-11T23:59:59.000Z

189

NOTES ON NEUTRON DEPTH PROFILING  

E-Print Network [OSTI]

NOTES ON NEUTRON DEPTH PROFILING by J.K. Shultis Department of Mechanical and Nuclear Engineering College of Engineering Kansas State University Manhattan, Kansas 66506 Dec. 2003 #12;Notes on Neutron Depth Profiling J. Kenneth Shultis December 2003 1 Introduction The purpose of neutron depth profiling

Shultis, J. Kenneth

190

Directory  

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

AREVA Folder Argonne National Laboratory Folder Dominion Engineering, Inc Folder Entergy Folder General Atomics Folder Industry Alliance Folder Oak Ridge National Laboratory...

191

Project Cost Profile Spreadsheet | Department of Energy  

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

Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet Project Cost Profile Spreadsheet.xlsx More Documents & Publications Statement of Work (SOW) Template (Combined...

192

EIA - State Nuclear Profiles  

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

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

193

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

194

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Texas profile Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0 411,695 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

195

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

196

EIA - State Nuclear Profiles  

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

Vermont profile Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported. Notes: Totals may not equal sum of components due to independent rounding. Other Renewable: Wood, black liquor, other wood waste, biogenic municipal solid waste, landfill gas, sludge waste, agriculture byproducts, other biomass, geothermal, solar thermal, photovoltaic energy, and wind.

197

EIA - State Nuclear Profiles  

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

Tennessee profile Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

198

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Virginia profile Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

199

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

200

EIA - State Nuclear Profiles  

Gasoline and Diesel Fuel Update (EIA)

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

Note: This page contains sample records for the topic "folder profile control" 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

EIA - State Nuclear Profiles  

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

Washington profile Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. * = Absolute percentage less than 0.05.

202

EIA - State Nuclear Profiles  

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

South Carolina profile South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982 100.0 104,153 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. - = No data reported.

203

EIA - State Nuclear Profiles  

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

Wisconsin profile Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314 100.0 1Municipal Solid Waste net generation is allocated according to the biogenic and non-biogenic components of the fuel; however, all Municipal Solid Waste summer capacity is classified as Renewable. Notes: Totals may not equal sum of components due to independent rounding.

204

Approximate Stokes Drift Profiles in Deep Water  

Science Journals Connector (OSTI)

A deep-water approximation of the Stokes drift velocity profile is explored as an alternative to the monochromatic profile. The alternative profile investigated relies on the same two quantities required for the monochromatic profile, namely, the ...

Øyvind Breivik; Peter A. E. M. Janssen; Jean-Raymond Bidlot

2014-09-01T23:59:59.000Z

205

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_001b.htm06/07/2004 13:02:41 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_001d.htm06/07/2004 13:02:52 #12;5 Year

206

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities http://www.fin.mmu.ac.uk/f18_0029.htm06/07/2004 13:01:23 #12;5 Year Financial Profile - Charts - Income 5 Year Financial Profile Charts Income Back http://www.fin.mmu.ac.uk/f18 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_002d.htm06/07/2004 13:01:34 #12;5 Year

207

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0067.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_006b.htm06/07/2004 13:04:46 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

208

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities & Reserves http://www.fin.mmu.ac.uk/f18_0079.htm06/07/2004 13 Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_007b.htm06/07/2004 13:05:59 #12;5 Year Financial Profile - Charts - Assets 5 Year Financial Profile Charts Assets Back http://www.fin.mmu.ac.uk/f18

209

Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles  

DOE Patents [OSTI]

A widely used scanner device that rotates a single helically shaped wire probe in and out of a particle beam at different beamline positions to give a pair of mutually perpendicular beam profiles is modified by the addition of a second wire probe. As a result, a pair of mutually perpendicular beam profiles is obtained at a first beamline position, and a second pair of mutually perpendicular beam profiles is obtained at a second beamline position. The simple modification not only provides more accurate beam profiles, but also provides a measurement of the beam divergence and quality in a single compact device.

Havener, Charles C [Knoxville, TN; Al-Rejoub, Riad [Oak Ridge, TN

2005-12-26T23:59:59.000Z

210

PARSII - New Reports and Reports With New Reporting Folder Location  

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

Report Name Previous Location New Location Brief Description Multi-Project or Single Project Report 2A Project Summary by Program PARS Reports Monthly Reports All active projects listing Pre/Post CD-2 $ and #'s including RYG status. Multi-Project 3A Red-Yellow Project Status Report PARS Reports Monthly Reports For every project that has been assessed by the OECM Analyst as being either Red or Yellow a worksheet is created that includes the OECM Analyst's written assessment of the project. The FPD, Site and Contractor with its EVM Certification Status are listed in the report. All appropriate EVM metrics, TPC values and CD approved dates as of the current OA Status Date are a part of the report. Multi-Project 4B Projects Post-CD-2 PARS Reports Monthly Reports

211

PARSII - New Reports and Reports With New Reporting Folder Location  

Office of Environmental Management (EM)

active projects listing PrePost CD-2 and 's including RYG status. Multi-Project 3A Red-Yellow Project Status Report PARS Reports Monthly Reports For every project that has...

212

Name of Article Country Folder Location within "Articles"  

E-Print Network [OSTI]

Rapporteur on the human right to safe drinking water and sanitation, Catarina de Albuquerque: Stigma and the realization of the human rights to water and sanitation N/A Access to Health Services UN General Assembly Various Access to Health Services Tackling poor healthcare: an evaluation of Ethiopia's Health services

MacMillan, Andrew

213

Scholarship Search Profile Personal Information  

E-Print Network [OSTI]

Scholarship Search Profile Personal Information Name: ____________________________________ Address) ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Work Experience: List most recent job first Employer/Company Name _______________________________________________________________ Reference: Name and telephone _____________________________________________ Employer/Company Name

Mather, Patrick T.

214

Evaluate Greenhouse Gas Emissions Profile  

Broader source: Energy.gov [DOE]

Evaluating a Federal agency's greenhouse gas (GHG) emissions profile means getting a solid understanding of the organization's largest emission categories, largest emission sources, and its potential for improvement.

215

http://edocsrpts.doe.gov:80/edocsreports/SingleItem.rpt  

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

Folder Profile with Route History Folder Profile with Route History EXEC-2010-004759 U.S. Department of Energy Executive Secretariat - Correspondence Control 1. Title: Memorandum to Secretary Steven Chu from Peter R. Orszag, Director, Office of the Management and Budget, The White House Subject: Informs the Department of Energy regarding the District Court Ruling on Appropriations Provisions regarding the Association of Community Organizations for Reform Now Control Number: Due Date: Correspondence Date: Date Created: Addressee Office: Signature Level: Assigned To: 18-Mar-2010 1:17PM 16-Mar-2010 Priority: EXEC-2010-004759 Steven Chu GC NA Essential Critical Entered by: Action Requested: POC: Program Determination External Assign to: Program Contact: Date Received: Completed Date: Holloway, Geneva Holloway, Geneva

216

Downstream Heat Flux Profile vs. Midplane T Profile in Tokamaks  

SciTech Connect (OSTI)

The relationship between the midplane scrape-off-layer electron temperature profile and the parallel heat flux profile at the divertor in tokamaks is investigated. A model is applied which takes into account anisotropic thermal diffusion, in a rectilinear geometry with constant density. Eigenmode analysis is applied to the simplified problem with constant thermal diffusivities. A self-similar nonlinear solution is found for the more realistic problem with anisotropically temperature-dependent thermal diffusivities. Numerical solutions are developed for both cases, with spatially dependent heat flux emerging from the plasma. For both constant and temperature-dependent thermal diffusivities it is found that, below about one-half of its peak, the heat flux profile shape at the divertor, compared with the midplane temperature profile shape, is robustly described by the simplest two-point model. However the physical processes are not those assumed in the simplest two-point model, nor is the numerical coefficient relating q||div to Tmp ?||mp/L|| as predicted. For realistic parameters the peak in the heat flux, moreover, can be reduced by a factor of two or more from the two-point model scaling which fits the remaining profile. For temperature profiles in the SOL region above the x-point set by marginal stability, the heat flux profile to the divertor can be largely decoupled from the prediction of the two-point model. These results suggest caveats for data interpretation, and possibly favorable outcomes for divertor configurations with extended field lines.

Robert J. Goldston

2009-08-20T23:59:59.000Z

217

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_004b.htm06/07/2004 12:57:08 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_004c.htm06 http://www.fin.mmu.ac.uk/f18_004d.htm06/07/2004 12:57:19 #12;5 Year Financial Profile - Charts - zoom 5

218

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_008b.htm06/07/2004 12:51:21 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_008c.htm06 http://www.fin.mmu.ac.uk/f18_008d.htm06/07/2004 12:51:31 #12;5 Year Financial Profile - Charts - zoom 5

219

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

Charts Income Back http://www.fin.mmu.ac.uk/f18_010b.htm06/07/2004 10:57:23 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_010c.htm06 http://www.fin.mmu.ac.uk/f18_010d.htm06/07/2004 12:40:15 #12;5 Year Financial Profile - Charts - zoom 5

220

Texas Crop Profile: Spinach  

E-Print Network [OSTI]

C H E-20 3-00 Prepared by Rodney L. Holloway, Kent D. Hall and Dudley T. Smith 1 In collaboration with Mark Black, Noel Troxclair, Frank Dainello and Allen Mize 2 1 Extension Specialist, Extension Associate and Experiment Station Associate Professor... no alternative controls for winter annual broadleaf weeds. Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843-2488 979-845-3849 rholloway@tamu.edu Kent D. Hall Extension Associate 2488 TAMU College Station, Texas 77843-2488 979...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

5 Year Financial Profile -Charts 5 Year Financial Profile Charts  

E-Print Network [OSTI]

. Income Expenditure Assets Liabilities Income Breakdown Expenditure Breakdown http://www.fin.mmu.ac.uk/f18 Charts Income Back http://www.fin.mmu.ac.uk/f18_005b.htm06/07/2004 13:00:29 #12;5 Year Financial Profile - Charts - zoom 5 Year Financial Profile Charts Expenditure Back http://www.fin.mmu.ac.uk/f18_005c.htm06

222

Enron Documents  

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

8 8 :. Thursday, March 14, 2002 3:10 PM Profile Page: 1 Folder Profile Control # 1998000752 Name letter to the Deputy Secretary from the Northeast States for Priority Important Folder Trigger Letter DOE Addressee Source PM-0 Elizabeth Moler I ___I |_______________ Correspondence Date 1/16/98 Subject Text e RE:AIR POLLUTION IMPACTS OF RIDS Information ead of Agency INCREASED DEREGULATION IN THE J ELECTRIC POWER INDUSTRY: AN INITIAL Sensitivity Not Applicable ANALYSIS - 1115/98 l Classification None Topical Index Point of Contact LOHRM -- i-na--u--e--Ap --- o--al 202 586-0471 Lohr, Michael Signature/Approval l _______________________________ _ . A ction O ffice # I l Action Requested Assigned To Appropriate Action _ PO Special Instructions Date Due I I Date Completed 1121/98

223

SPEAK UP, EPPING! COMMUNITY PROFILE  

E-Print Network [OSTI]

SPEAK UP, EPPING! COMMUNITY PROFILE REPORT Epping, New Hampshire April 14, 2007 #12;TABLE ............................................................................................. 21 6. Community Services, Facilities and Utilities........................................................................................................................... 38 1. Natural Resources & Environment 2. Communication 3. Infrastructure & Public Safety 4

New Hampshire, University of

224

Profile of Alec J. Jeffreys  

Science Journals Connector (OSTI)

Profile of Alec J. Jeffreys 10.1073/pnas.0603953103 Nick Zagorski As one of the great contributors to modern genetics...the forensic sciences. That achievement alone is worthy of merit, contributing to Jeffreys' receiving three high distinctions...

Nick Zagorski

2006-01-01T23:59:59.000Z

225

Neuropsychological Profile of Stuttering Children  

Science Journals Connector (OSTI)

The purpose of this study was to analyze the cognitive profile of stuttering children. A sample of 290 children was ... classified as stutterers. In general, performance in stuttering children was similar to the ...

Alfredo Ardila; Mónica Rosselli…

2000-06-01T23:59:59.000Z

226

Energy Consumption Profile for Energy  

E-Print Network [OSTI]

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

227

Vibration of Tethered Microstructure Profilers  

Science Journals Connector (OSTI)

Although loosely tethered turbulence profilers have many advantages, they are prone to resonant vibrations at frequencies in the dissipation range when they are falling rapidly or when the tether is strummed. Using the Advanced Microstructure ...

Jack B. Miller; M. C. Gregg; Vernon W. Miller; Gordon L. Welsh

1989-12-01T23:59:59.000Z

228

JOBAID-ACCESSING AND MODIFYING TALENT PROFILE  

Broader source: Energy.gov [DOE]

The purpose of this job aid is to guide users through the step-by-step process of accessing their talent profiles, adding information to their profiles, and editing existing talent profile...

229

Pepsico Teaming Profile  

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

Pneu-Logic Corporation PepsiCo, Gatorade Pneu-Logic Corporation PepsiCo, Gatorade 6650 SW Redwood Lane, Suite 390 409 South 104th Avenue Portland, Oregon 970224 Tolleson, Arizona 85323 Business: Compressed Air Management Business: Beverage Dusty Smith Tom Schaefer Director of Engineering Principal Engineer - Resource Conservation Phone: 503-718-0114 Phone: 480-495-3349 Email: dusty.smith@pneulogic.com Email: Tom.A.Schaefer@pepsico.com Pneu-Logic installs compressor controls and saves Gatorade $70,000 in annual energy Project Scope After undergoing an independent Compressed Air Analysis, several issues were identified within the plant's compressed air system. Most significant was the lack of automation. With seven compressors in three locations and no monitoring in place to observe system-wide pressures, the compressors

230

ECR apparatus with magnetic coil for plasma refractive index control  

DOE Patents [OSTI]

The present invention describes a technique to control the radial profile of microwave power in an ECR plasma discharge. In order to provide for a uniform plasma density to a specimen, uniform energy absorption by the plasma is desired. By controlling the radial profile of the microwave power transmitted through the microwave window of a reactor, the profile of the transmitted energy to the plasma can be controlled in order to have uniform energy absorption by the plasma. An advantage of controlling the profile using the window transmission characteristics is that variations to the radial profile of microwave power can be made without changing the microwave coupler or reactor design. 9 figures.

Berry, L.A.

1994-04-26T23:59:59.000Z

231

Phenotype MicroArray Profiling  

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

MicroArray MicroArray Profiling of Zymomonas mobilis ZM4 Barry Bochner & Vanessa Gomez & Michael Ziman & Shihui Yang & Steven D. Brown Received: 22 May 2009 / Accepted: 26 October 2009 # The Author(s) 2009. This article is published with open access at Springerlink.com Abstract In this study, we developed a Phenotype MicroArray(tm) (PM) protocol to profile cellular phenotypes in Zymomonas mobilis, which included a standard set of nearly 2,000 assays for carbon, nitrogen, phosphorus and sulfur source utilization, nutrient stimulation, pH and osmotic stresses, and chemical sensitivities with 240 inhibitory chemicals. We observed two positive assays for C-source utilization (fructose and glucose) using the PM screen, which uses redox chemistry and cell respiration as a universal reporter to profile growth phenotypes in a high-throughput 96-well plate-based format.

232

Industry Profile | Department of Energy  

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

Industry Profile Industry Profile Industry Profile November 1, 2013 - 11:40am Addthis The largest energy consuming industrial sectors account for the largest share of CHP capacity; namely: Chemicals (30%), Petroleum Refining (17%), and Paper Products (14%). Other industrial sectors include: Commercial/Institutional (12%), Food (8%), Primary Metals (5%), Other Manufacturing (8%), and Other Industrial (6%). Combined heat and power (CHP)-sometimes referred to as cogeneration-involves the sequential process of producing and utilizing electricity and thermal energy from a single fuel. CHP is widely recognized to save energy and costs, while reducing carbon dioxide (CO2) and other pollutants. CHP is a realistic, near-term option for large energy efficiency improvements and significant CO2 reductions.

233

Enron Documents  

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

2 2 r.age: 1 Folder Profile Control 2002-000322 Name Letter to Deputy Secretary Francis Blake from Luke Ele Priority [ Important Folder Trigger I Invitation DOE Addressee Source PM-O Francis S. Blake l- IriBa Date Received 1/7/02 Subject Text Correspondence Date 10/15/01 Luke Eleftheriou, Infocast, Inc.encloses information for the Energy Investor Policy & _ RIDS Information Head of Agency l Regulation Conference on 12/3/01 thru 12/4/01 in New York, NY Sensitivity Not Applicable Action Office # [ - |Classification [ None Signature/Approval____ Point of Contact CUNNINGD NA -A I| Organization ID EXECCORR2 Action Requested Assigned To Appropriate Action Francis S. Blake Special Instructions Date Due | Due to delay in mail service, rec'd in ES on J- 1/7102. Being controlled after the fact Date Completed 1/802

234

gprof Profiling Tools | Argonne Leadership Computing Facility  

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

Tuning MPI on BG/Q Tuning and Analysis Utilities (TAU) HPCToolkit HPCTW mpiP gprof Profiling Tools Darshan PAPI BG/Q Performance Counters BGPM Openspeedshop Scalasca BG/Q DGEMM Performance Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] gprof Profiling Tools Contents Introduction Profiling on the Blue Gene Enabling Profiling Collecting Profile Information Profiling Threaded Applications Using gprof Routine Level Flat Profile Line Level Flat Profile Call Graph Analysis Routine Execution Count List Annotated Source Listing Issues in Interpreting Profile Data Profiling Concepts Programs in Memory

235

Test profiles for stationary energy storage applications  

SciTech Connect (OSTI)

Evaluation of battery and other energy storage technologies for stationary uses is progressing rapidly toward application-specific testing that uses computer-based data acquisition and control equipment, active electronic loads and power supplies, and customized software, to enable sophisticated test regimes that simulate actual use conditions. These simulated-use tests provide more accurate performance and life evaluations than simple constant resistance or current testing regimes. Some of the tests use stepped constant-power charge and discharge regimes to simulate conditions created by electric utility applications such as frequency regulation and spinning reserve. Other test profiles under development simulate conditions for the energy storage component of Remote Area Power Supplies (RAPS) that include renewable and/or fossil-fueled generators. Various RAPS applications have unique sets of service conditions that require specialized test profiles. However, almost all RAPS tests and many tests that represent other stationary applications need to simulate significant time periods during which storage devices operate at low-to-medium states-of-charge without full recharge. Consideration of these and similar issues in simulated-use test regimes is necessary to effectively predict the responses of the various types of batteries in specific stationary applications. This paper describes existing and evolving stationary applications for energy storage technologies and test regimes that are designed to simulate them. The paper also discusses efforts to develop international testing standards.

Butler, P.C. [Sandia National Labs., Albuquerque, NM (United States); Cole, J.F. [International Lead Zinc Research Organization, Research Triangle Park, NC (United States); Taylor, P.A. [Energetics, Inc., Columbia, MD (United States)

1998-09-01T23:59:59.000Z

236

Central Appalachia: Coal industry profile  

SciTech Connect (OSTI)

Central Appalachia, the most complex and diverse coal-producing region in the United States, is also the principal source of very low sulfur coal in the East. This report provides detailed profiles of companies and facilities responsible for about 90% of the area's production, conveying a unique view of the aggregate industry as well as its many parts.

McMahan, R.L.; Kendall, L.K. (Resource Data International, Inc., Boulder, CO (USA))

1991-05-01T23:59:59.000Z

237

Microfluidics and Nanoscale Research Profile  

E-Print Network [OSTI]

Microfluidics and Nanoscale Science Research Profile Our research group is engaged in a broad range of activities in the general area of microfluidics and nanoscale science. At a primary level, our interest that when compared to macroscale tech- nology, microfluidic systems engender a number of distinct advantages

238

Turfgrass Disease Profiles Brown Patch  

E-Print Network [OSTI]

Turfgrass Disease Profiles Brown Patch Richard Latin, Professor of Plant Pathology Brown patch to algae and moss infestation. Even mild brown patch outbreaks can spoil the appearance of golf greens and perennial ryegrass) also may sustain damage from brown patch infection. Disease Characteristics and Symptom

239

MODELING OF CHANGING ELECTRODE PROFILES  

SciTech Connect (OSTI)

A model for simulating the transient behavior of solid electrodes undergoing deposition or dissolution has been developed. The model accounts for ohmic drop, charge transfer overpotential, and mass transport limitations. The finite difference method, coupled with successive overrelaxation, was used as the basis of the solution technique. An algorithm was devised to overcome the computational instabilities associated with the calculations of the secondary and tertiary current distributions. Simulations were performed on several model electrode profiles: the sinusoid, the rounded corner, and the notch. Quantitative copper deposition data were obtained in a contoured rotating cylinder system, Sinusoidal cross-sections, machined on stainless steel cylinders, were used as model geometries, Kinetic parameters for use in the simulation were determined from polarization curves obtained on copper rotating cylinders, These parameters, along with other physical property and geometric data, were incorporated in simulations of growing sinusoidal profiles. The copper distributions on the sinusoidal cross-sections were measured and found to compare favorably with the simulated results. At low Wagner numbers the formation of a slight depression at the profile peak was predicted by the simulation and observed on the profile. At higher Wagner numbers, the simulated and experimental results showed that the formation of a depression was suppressed. This phenomenon was shown to result from the competition between ohmic drop and electrode curvature.

Prentice, Geoffrey Allen

1980-12-01T23:59:59.000Z

240

Definition: Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

Profiling Configurations Profiling Configurations Jump to: navigation, search Dictionary.png Electrical Profiling Configurations Electrical profiling is a DC resistivity survey which aims to trace lateral variations in the apparent resistivity structure of the subsurface. Traditionally, electrical profiling provides qualitative information of relative apparent resistivity values in order to detect anomalous geological features.[1] Also Known As Electrical mapping References ↑ http://www.amazon.com/Principles-Electric-Borehole-Geophysics-Geochemistry/dp/0444529942 Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Definition:Electrical_Profiling_Configurations&oldid=596184" Category: Definitions

Note: This page contains sample records for the topic "folder profile control" 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

Long range constant force profiling for measurement of engineering surfaces  

Science Journals Connector (OSTI)

A new instrument bridging the gap between atomic force microscopes (AFMs) and stylus profiling instruments is described. The constant force profiler is capable of subnanometer resolution over a 15??m vertical range with a horizontal traverse length of 50 mm. This long traverse length coupled with the possibilities of utilizing standard radius diamondmeasurement styli make the force profiler more compatible with existing profiling instrument standards. The forces between the specimen and a diamond stylus tipped cantilever spring are sensed as displacements using a capacitance bridge. This displacement signal is then fed through a proportional plus integral controller to a high stability piezoelectric actuator to maintain a constant tip?to?sample force of approximately 100 nN. Much of the sensor head and traverse mechanism is made of Zerodur glass?ceramic to provide the thermal stability needed for long travel measurements. Profiles of a 30?nm silica step height standard and an 8.5??m step etched on Zerodur are presented.

L. P. Howard; S. T. Smith

1992-01-01T23:59:59.000Z

242

IPM Profiling Tool at NERSC  

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

IPM IPM IPM Description and Overview IPM is a portable profiling infrastructure which provide a high level report on the execution of a parallel job. IPM reports hardware counters data, MPI function timings, and memory usage. It provides a low overhead means to generate scaling studies or performance data for ERCAP submissions. When you run a job using the IPM module you will get a performance summary (see below) to stdout as well as a web accessible summary of all your IPM jobs. The two main objectives of IPM are ease-of-use and scalability in performance analysis. Usage % module load ipm On HPC architectures that support shared libraries that's all you need to do. Once the module is loaded you can run as you normally and get a performance profile once the job has successfully completed. You do not

243

Enron Documents  

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

2001 2001 Folder Profile Control # 2001-000102 Name ICopy of letter to Secretary Bill Richardson to David Boerge t Priority Important Folder Trigger Letter DOE Addressee Source PM-O Bill Richardson l l [ Bill Richardson I Date Received 1/4/01l Subject Text-- ------ Correspondence Date 1/2/01 Enclosing for filing Docket No. RM99-2-000, Utah Associated Municipal Power Systems' RIDS Information | Head of Agency Answer to Joint Motion of Electricity I Consumers Resource Council, Et Al. Sensitivity Not Applicable 1 Action Office # Classification None Signature/Approval____ Point of Contact GREENA [NA | Organization ID EXECCORR2 Action Requested Assigned To Prog Determination GC Special Instructions Date Due | Date Completed 1/4/01 I -uu i-uUU102 1/4/01 9:14 a SHEA & GARDNER

244

Enron Documents  

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

0 0 Page: 1 Folder Profile Control 9 2000001366 Name Letter to Secretary Bil Richardson from Antonia Herande Priority [Important| Folder Trigger Letter DOE Addressee Source []PM-O Bill Richardson I-- ' ______ " ardson ___________1 ]Date Received 1i27/00 Subject Text Correspondence Date 1R2000 Thanks the Secretary for agreeing to accept I I the Excellence in Government award at RIDS Information I ead of Agency I MALDEFs 1st Annual Noche de Celebracion I on May 16,2000 Sensitivity Not Applicable Action Office I Classification None Signature/Approval _______Point of Contact MAUSERB |I N A -I Organization-D I EXECCORR2 Action Requested Assigned To Appropriate Action OSNWatkins Special Instructions Date Due Info:ES/Carpenter. Accept Date Completed 1128/00 I-- - 2000-001366 1/27 P 12:01

245

Transport reduction by current profile control in the reversed...  

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

in a boron nitride insulator with a small hole through which current is extracted. The arc discharge is H, gas fed, to the metal impurities generated on the (molybde- num) arc...

246

Control and verification of the safetyfactor profile in tokamaks using  

E-Print Network [OSTI]

for quenching the ever increasing energy demands of the world. However, since fossil fuel reserves are limited Fossil fuel energy or cheap energy, as known in the common vernacular, until now has been responsible this oil peak is achieved there would be an energy shortfall. There is a general consensus that we

Peet, Matthew M.

247

Benchmarking optimization software with performance profiles  

E-Print Network [OSTI]

Abstract: We propose performance profiles -- probability distribution functions for a performance metric -- as a tool for benchmarking and comparing optimization ...

Elizabeth Dolan

248

EQPT: Ecological Quality Profiling Tool  

SciTech Connect (OSTI)

EQPT uses"Habitat Value Units" to assess the ecological quality of selected areas. A Habitat Value Unit is equal to one unit area of pristine or desired habitat. The proximity of waste reduces the value of the habitat. The GIS uses a proximity-based iterative algorithm to aggregate similarly classified waste sites. A variable size buffering algorithm is then used to approximate the effects of the waste on the environmental quality of the surrounding areas. The user designated areas are analyzed, and the resulting quality profiles are presented quantitatively in tabular summaries and graphically as grids on vector base maps.

Tzemos, Spyridon (BATTELLE (PACIFIC NW LAB)); Sackschewsky, Michael R. (BATTELLE (PACIFIC NW LAB)); Bilyard, Gordon R. (BATTELLE (PACIFIC NW LAB))

2002-08-21T23:59:59.000Z

249

Texas Crop Profile: Sweet Potatoes  

E-Print Network [OSTI]

is between 120 to 135 days. Texas Crop Profile S W E E T P O T A T O E S E-22 3-00 Prepared by Rodney L. Holloway, Kent D. Hall and Dudley T. Smith 1 In collaboration with James V. Robinson, George Philley and Marvin Baker 2 1 Extension Specialist, Extension... Command will not. Rodney L. Holloway Extension Specialist 2488 TAMU College Station, Texas 77843-2488 979-845-3849 rholloway@tamu.edu Kent D. Hall Extension Associate 2488 TAMU College Station, Texas 77843-2488 979-845-3849 kd-hall@tamu.edu Dudley Smith...

Hall, Kent D.; Holloway, Rodney L.; Smith, Dudley

2000-04-12T23:59:59.000Z

250

PWR AXIAL BURNUP PROFILE ANALYSIS  

SciTech Connect (OSTI)

The purpose of this activity is to develop a representative ''limiting'' axial burnup profile for pressurized water reactors (PWRs), which would encompass the isotopic axial variations caused by different assembly irradiation histories, and produce conservative isotopics with respect to criticality. The effect that the low burnup regions near the ends of spent fuel have on system reactivity is termed the ''end-effect''. This calculation will quantify the end-effects associated with Pressurized Water Reactor (PWR) fuel assemblies emplaced in a hypothetical 21 PWR waste package. The scope of this calculation covers an initial enrichment range of 3.0 through 5.0 wt% U-235 and a burnup range of 10 through 50 GWd/MTU. This activity supports the validation of the process for ensuring conservative generation of spent fuel isotopics with respect to criticality safety applications, and the use of burnup credit for commercial spent nuclear fuel. The intended use of these results will be in the development of PWR waste package loading curves, and applications involving burnup credit. Limitations of this evaluation are that the limiting profiles are only confirmed for use with the B&W 15 x 15 fuel assembly design. However, this assembly design is considered bounding of all other typical commercial PWR fuel assembly designs. This calculation is subject to the Quality Assurance Requirements and Description (QARD) because this activity supports investigations of items or barriers on the Q-list (YMP 2001).

J.M. Acaglione

2003-09-17T23:59:59.000Z

251

An Autonomous Doppler Sodar Wind Profiling System PHILIP S. ANDERSON, RUSSELL S. LADKIN, AND IAN A. RENFREW  

E-Print Network [OSTI]

An Autonomous Doppler Sodar Wind Profiling System PHILIP S. ANDERSON, RUSSELL S. LADKIN, AND IAN A form 27 September 2004) ABSTRACT An autonomous Doppler sodar wind profiling system has been designed panels, and two vertical axis wind generators, plus charging control and isolation circuitry. The sodar

Renfrew, Ian

252

ARM - Campaign Instrument - s-band-profiler  

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

govInstrumentss-band-profiler govInstrumentss-band-profiler Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : NOAA S-band (2835 Mhz) Profiler (S-BAND-PROFILER) Instrument Categories Cloud Properties, Atmospheric Profiling Campaigns CRYSTAL-FACE [ Download Data ] Off Site Campaign : various, including non-ARM sites, 2002.06.26 - 2002.08.01 Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers [ Download Data ] Southern Great Plains, 2011.04.22 - 2011.06.06 Tropical Warm Pool - International Cloud Experiment (TWP-ICE) [ Download Data ] Tropical Western Pacific, 2006.01.21 - 2006.02.13 Primary Measurements Taken The following measurements are those considered scientifically relevant. Refer to the datastream (netcdf) file headers for the list of all available

253

Definition: Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

Electromagnetic Profiling Techniques Electromagnetic Profiling Techniques Jump to: navigation, search Dictionary.png Electromagnetic Profiling Techniques Electromagnetic profiling techniques map lateral variations in subsurface resistivity.[1] View on Wikipedia Wikipedia Definition Exploration geophysics is the applied branch of geophysics which uses surface methods to measure the physical properties of the subsurface Earth, along with the anomalies in these properties, in order to detect or infer the presence and position of ore minerals, hydrocarbons, geothermal reservoirs, groundwater reservoirs, and other geological structures. Exploration geophysics is the practical application of physical methods (such as seismic, gravitational, magnetic, electrical and electromagnetic) to measure the physical properties of rocks, and in particular, to detect

254

Project Profile: Forecasting and Influencing Technological Progress...  

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

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

255

Project Profile: Regenerative Carbonate-Based Thermochemical...  

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

Regenerative Carbonate-Based Thermochemical Energy Storage System for Concentrating Solar Power Project Profile: Regenerative Carbonate-Based Thermochemical Energy Storage System...

256

Project Profile: Concentrated Solar Thermoelectric Power | Department...  

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

Solar Thermoelectric Power Project Profile: Concentrated Solar Thermoelectric Power MIT logo The Rohsenow-Kendall Heat Transfer Lab at Massachusetts Institute of...

257

Plant Energy Profiler | Department of Energy  

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

Energy Profiler Pumping System Assessment Tool Process Heating Assessment and Survey Tool Steam System Modeler Advanced Manufacturing Home Key Activities Research &...

258

TAU Portable Performance Profiling Tools Sameer Shende  

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

Laboratory, Los Alamos National Laboratory sameer@cs.uoregon.edu Tuning and Analysis Utilities http:www.acl.lanl.govtau TAU Profiling Team Members (In alphabetical order) Peter...

259

Wire Scanner Beam Profile Measurements: LANSCE Facility Beam Development  

SciTech Connect (OSTI)

The Los Alamos Neutron Science Center (LANSCE) is replacing Wire Scanner (WS) beam profile measurement systems. Three beam development tests have taken place to test the new wire scanners under beam conditions. These beam development tests have integrated the WS actuator, cable plant, electronics processors and associated software and have used H{sup -} beams of different beam energy and current conditions. In addition, the WS measurement-system beam tests verified actuator control systems for minimum profile bin repeatability and speed, checked for actuator backlash and positional stability, tested the replacement of simple broadband potentiometers with narrow band resolvers, and tested resolver use with National Instruments Compact Reconfigurable Input and Output (cRIO) Virtual Instrumentation. These beam tests also have verified how trans-impedance amplifiers react with various types of beam line background noise and how noise currents were not generated. This paper will describe these beam development tests and show some resulting data.

Gilpatrick, John D. [Los Alamos National Laboratory; Batygin, Yuri K. [Los Alamos National Laboratory; Gonzales, Fermin [Los Alamos National Laboratory; Gruchalla, Michael E. [Los Alamos National Laboratory; Kutac, Vincent G. [Los Alamos National Laboratory; Martinez, Derwin [Los Alamos National Laboratory; Sedillo, James Daniel [Los Alamos National Laboratory; Pillai, Chandra [Los Alamos National Laboratory; Rodriguez Esparza, Sergio [Los Alamos National Laboratory; Smith, Brian G. [Los Alamos National Laboratory

2012-05-15T23:59:59.000Z

260

Parent and Teacher Report: Comparing Results from the Sensory Profile and the Sensory Profile School Companion  

E-Print Network [OSTI]

OBJECTIVE. This study investigated the similarities and differences between parent and teacher report on the Sensory Profile and the Sensory Profile School Companion (School Companion). METHOD. Using data gathered during ...

Clark, Jessica Saiter

2008-08-13T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

Research profiling for `standardization and innovation'  

Science Journals Connector (OSTI)

This paper addresses the profiling of research papers on `standardization and innovation'--exploring major topics and arguments in this field. Drawing on 528 papers retrieved from the database, Web of Science, we employed trend, factor, and clustering ... Keywords: Bibliometrics, Clustering analysis, Innovation, Publication analysis, Research profiling, Standardization, Taxonomy

Dong Geun Choi; Heesang Lee; Tae-Kyung Sung

2011-07-01T23:59:59.000Z

262

A PROFILE OF KENTUCKY MEDICAID MENTAL HEALTH  

E-Print Network [OSTI]

can be advanced--among patients, health care providers, and the community at large. This workA PROFILE OF KENTUCKY MEDICAID MENTAL HEALTH DIAGNOSES, 2000-2010 #12; #12; i A Profile of Kentucky Medicaid Mental Health Diagnoses, 20002010 BY Michael T. Childress

Hayes, Jane E.

263

TOF Profile function used at POWGEN  

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

TOF Profile function used at POWGEN: TOF Profile function used at POWGEN: Powgen uses a TOF profile function which is a variation on the standard profile function originally derived by VonDreele, Jorgensen and Windsor (VonDreele RB, Jorgensen JD and Windsor CG, "Rietveld Refinement with Spallation Neutron Powder Diffraction Data", J. Appl. Cryst. 15, 581 (1982). This function is implemented in GSAS (profile function 3, 4 & 5) and Fullprof NPROF 9 and is most applicable to diffractometers viewing ambient polyethylene or water moderators. The POWGEN diffractometer, however, views a poisoned cryogenic H 2 (liquid) moderator. The variation in peak shape and peak position with TOF (or d-spacing d) is calculated using a more complex function related to thermal and epithermal components of the neutron spectrum that was

264

Simulations and Experiments on Modifying the q-Profile for Advanced Tokamak Discharges on Alcator C-Mod  

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

and Experiments on and Experiments on Modifying the q-Profile for Advanced Tokamak Discharges on Alcator C-Mod C. E. Kessel 1 , A. E. Hubbard 2 P. Bonoli 2 , M. Greenwald, J. Ko 2 , Y. Lin 2 , R. Parker 2 , A. E. Schmidt 2 , S. Scott 1 , J. Snipes, D. Terry 2 , G. Wallace 2 , R. Wilson 1 , S. Wolfe 2 , S. Wukitch 2 1 Princeton Plasma Physics Laboratory 2 Plasma Science and Fusion Center, MIT APS Division of Plasma Physics, November 2007 Controlling the q-Profile in Alcator C-Mod * Lower Hybrid current drive provides a strong source of non- inductive current at large minor radius * ICRF provides central and off-axis heating * Cryopump provides density control * MSE/Faraday rotation provide current profile diagnostics * Goal is to produce 100% non-inductive plasma current with LHCD and bootstrap current * Goal is to elevate the safety factor and control the q-profile

265

Performance Profiles of Major Energy Producers 1993  

Gasoline and Diesel Fuel Update (EIA)

3) 3) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1993 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 Energy Information Administration/ Performance Profiles of Major Energy Producers 1993 ii This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1993 iii The Financial Reporting System, 1977-1993 diskette is available from the Energy Information Administration.

266

Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

Electromagnetic Profiling Techniques Electromagnetic Profiling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Electromagnetic Profiling Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Ground Electromagnetic Techniques Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature

267

Vertical Seismic Profiling | Open Energy Information  

Open Energy Info (EERE)

Vertical Seismic Profiling Vertical Seismic Profiling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Vertical Seismic Profiling Details Activities (4) Areas (3) Regions (1) NEPA(0) Exploration Technique Information Exploration Group: Downhole Techniques Exploration Sub Group: Borehole Seismic Techniques Parent Exploration Technique: Borehole Seismic Techniques Information Provided by Technique Lithology: Rock unit density influences elastic wave velocities. Stratigraphic/Structural: Structural geology- faults, folds, grabens, horst blocks, sedimentary layering, discontinuities, etc. Hydrological: Combining compressional and shear wave results can indicate the presence of fluid saturation in the formation. Thermal: High temperatures and pressure impact the compressional and shear wave velocities.

268

Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

Electrical Profiling Configurations Electrical Profiling Configurations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Electrical Profiling Configurations Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Geophysical Techniques Exploration Sub Group: Electrical Techniques Parent Exploration Technique: Direct-Current Resistivity Survey Information Provided by Technique Lithology: Rock composition, mineral and clay content Stratigraphic/Structural: Detection of permeable pathways, fracture zones, faults Hydrological: Resistivity influenced by porosity, grain size distribution, permeability, fluid saturation, fluid type and phase state of the pore water Thermal: Resistivity influenced by temperature

269

Numerical control user experience  

SciTech Connect (OSTI)

AUTOCON is an acronym for Automatic Contouring, a program which generates a contour toolpath for the external profile of printed writing boards (PWB) using ICEM DDN. AUTOCON originates from the Computer Aided Process Planning (CAPP) Procedure developed by Electrical Manufacturing at Allied Bendix. The CAPP program uses electronically transmitted graphics files received from a design agency to generate automatic panel layouts and travellers for Process Engineers. The objective of AUTOCON is to utilize the information from the CAPP program to generate Numerical Control tapes. If the CAPP program can be utilized to its full potential, it is estimated that a good portion of the 60 to 90 PWB tapes shipped each month from our Numerical Control Department could be eliminated from conventional N/C Programming. The purpose of AUTOCON is to automatically generate a toolpath around the external profile of a PWB with no user intervention. The Process Engineer can generate a profile contour N/C tape after he has completed the panel layout and traveller through CAPPS for a part. After the layout and traveller illustrations have been completed, the same geometry can then be utilized again for the N/C tape. An N/C Analysist then reviews the listing for a final checkout of the job. 13 figs.

Butler, J.

1985-10-01T23:59:59.000Z

270

Subsurface imaging with reverse vertical seismic profiles  

E-Print Network [OSTI]

This thesis presents imaging results from a 3D reverse vertical seismic profile (RVSP) dataset measured at a hydrocarbon bearing pinnacle reef in northern Michigan. The study presented many challenges in seismic data ...

Krasovec, Mary L. (Mary Lee), 1972-

2001-01-01T23:59:59.000Z

271

load profile | OpenEI Community  

Open Energy Info (EERE)

data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL Files: applicationzip icon System Advisor Model Tool for Downloading Load Data...

272

Longitudinal profile of channels cut by springs  

E-Print Network [OSTI]

We propose a simple theory for the longitudinal profile of channels incised by groundwater flow. The aquifer surrounding the stream is represented in two dimensions through Darcy's law and the Dupuit approximation. The ...

Devauchelle, O.

273

Automatic program timing profiles with FTN4  

SciTech Connect (OSTI)

Design of a scheme for producing execution timing profiles of FORTRAN programs automatically is proposed with a recommendation to implement it as an option to the compiler. An experimental implementation on the LBL 7600 is also described. 1 figure.

Friedman, R.

1980-09-01T23:59:59.000Z

274

Definition: Vertical Seismic Profiling | Open Energy Information  

Open Energy Info (EERE)

Profiling Profiling Jump to: navigation, search Dictionary.png Vertical Seismic Profiling Vertical Seismic Profile (VSP) is a technique of seismic measurements used for high resolution seismic imaging. It can also be used for correlation with surface seismic data providing velocity information and information for processing such as deconvolution parameters. The defining characteristic of a VSP is that the detectors are in a borehole.[1][2][3] View on Wikipedia Wikipedia Definition Also Known As Advanced Borehole Seismology (ABS), Related Terms Seismic Techniques, High Resolution Imaging and Monitoring References ↑ Bob Hardage VSP Principles ↑ High resolution 3D seismic imaging using 3C data from large downhole seismic arrays Paulsson et al. (2004) ↑ Mueller Soroka Paulsson (2010)

275

Experiment Profile: Mu2e  

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

Mu2e Mu2e NAME: Muon-to-electron conversion, or Mu2e WHAT IS THE EXPERIMENT LOOKING FOR? A muon that does not follow the traditional weak- force decay pattern into a lighter electron and two neutrinos, but converts wholly into an electron. WHAT WILL THIS TELL US ABOUT THE WORLD? * Observing Mu2e conversion would point the way to a unification of all the forces of nature controlling the interactions of matter. This unification of the four existing forces we observe today - gravity, the electromagnetic force, and the weak and strong forces - is considered Albert Einstein's dream of "grand unification. * Finding signs of this "grand unification" could explain how the universe evolved from being

276

Instrument Development Tethered Balloon Sounding System for Vertical Radiation Profiles  

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

Tethered Balloon Sounding System Tethered Balloon Sounding System for Vertical Radiation Profiles C. D. Whiteman J. M. Alzheimer G. A. Anderson M. R. Garnich W. J. Shaw Pacific Northwest Laboratory Richland, WA 99352 platform is built on a triangular frame identical to the one on the Sky Platform, but the MSP carries no radiometric sensors, control loop, or leveling motors. Rather. the MSP is instrumented to measure the motions to which the Sky Platform will be subjected; the data provide engineering information to be used in the final design of the control loop and structural elements of the Sky Platform. An array of six miniature solid state accelerometers provides the raw data from which balloon motions are determined. Future plans call for the installation of a small attitude gyroscope on the

277

Analysis Methodology for Industrial Load Profiles  

E-Print Network [OSTI]

ANALYSIS METHODOLOGY FOR INDUSTRIAL LOAD PROFILES Thomas W. Reddoch Executive Vice President Eleclrolek Concepts, Inc. Knoxvillc, Tennessee ABSTRACT A methodology is provided for evaluating the impact of various demand-side management... (OSM) options on industrial customers. The basic approach uses customer metered load profile data as a basis for the customer load shape. OSM technologies are represented as load shapes and are used as a basis for altering the customers existing...

Reddoch, T. W.

278

Maine Geological Survey Borehole Temperature Profiles  

SciTech Connect (OSTI)

This dataset includes temperature profiles from 30 boreholes throughout Maine that were selected for their depth, location, and lithologies encountered. Depths range from about 300 feet to 2,200 feet. Most of the boreholes selected for measurement were completed in granite because this lithology can be assumed to be nearly homogeneous over the depth of the borehole. Boreholes were also selected to address gaps in existing geothermal datasets. Temperature profiles were collected in October and November, 2012.

Marvinney, Robert

2013-11-06T23:59:59.000Z

279

ITP Petroleum Refining: Energy and Environmental Profile of the...  

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

and Environmental Profile of the U.S. Petroleum Refining Industry (November 2007) ITP Petroleum Refining: Energy and Environmental Profile of the U.S. Petroleum Refining Industry...

280

ITP Petroleum Refining: Profile of the Petroleum Refining Industry...  

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

Profile of the Petroleum Refining Industry in California: California Industries of the Future Program ITP Petroleum Refining: Profile of the Petroleum Refining Industry in...

Note: This page contains sample records for the topic "folder profile control" 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

Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011)...  

Open Energy Info (EERE)

Vertical Seismic Profiling At Rye Patch Area (DOE GTP, 2011) Exploration Activity Details Location Rye Patch Area Exploration Technique Vertical Seismic Profiling Activity Date...

282

Improving the Accuracy of Vehicle Emissions Profiles for Urban Transportation Greenhouse Gas and Air Pollution Inventories  

Science Journals Connector (OSTI)

Improving the Accuracy of Vehicle Emissions Profiles for Urban Transportation Greenhouse Gas and Air Pollution Inventories ... Metropolitan greenhouse gas and air emissions inventories can better account for the variability in vehicle movement, fleet composition, and infrastructure that exists within and between regions, to develop more accurate information for environmental goals. ... Older vehicles tend to have higher levels of CAP not only because of less-advanced pollution control technology, but also because of the deterioration of aging control systems. ...

Janet L. Reyna; Mikhail V. Chester; Soyoung Ahn; Andrew M. Fraser

2014-12-01T23:59:59.000Z

283

Directory  

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

Archive, Sample Requests in Progress, Swipe Results Folder Miscellaneous Folder Process Procedures Folder Project Plans Folder RAD Records Area Surveys, Completed RPR13...

284

Dynamic user profiles for web personalisation  

Science Journals Connector (OSTI)

Abstract Web personalisation systems are used to enhance the user experience by providing tailor-made services based on the user’s interests and preferences which are typically stored in user profiles. For such systems to remain effective, the profiles need to be able to adapt and reflect the users’ changing behaviour. In this paper, we introduce a set of methods designed to capture and track user interests and maintain dynamic user profiles within a personalisation system. User interests are represented as ontological concepts which are constructed by mapping web pages visited by a user to a reference ontology and are subsequently used to learn short-term and long-term interests. A multi-agent system facilitates and coordinates the capture, storage, management and adaptation of user interests. We propose a search system that utilises our dynamic user profile to provide a personalised search experience. We present a series of experiments that show how our system can effectively model a dynamic user profile and is capable of learning and adapting to different user browsing behaviours.

Ahmad Hawalah; Maria Fasli

2015-01-01T23:59:59.000Z

285

AUTOMATIC PROGRAM TIMING PROFILES WITH FTN4  

E-Print Network [OSTI]

SECTION Presented at the VIM-33/ECODU-30 Control Data Userof California Presented at the VIM-33/ECODU- 30 CONTROL DATA

Friedman, Richard.

2010-01-01T23:59:59.000Z

286

DOE Solar Decathlon: News Blog » Profiles  

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

Profiles Profiles Below you will find Solar Decathlon news from the Profiles archive, sorted by date. Instrumentation for Dummies Sunday, September 29, 2013 By Alexis Powers If your head spins at the thought of 105 sensors collecting 12 data points every 15 minutes for all 19 houses competing in the U.S. Department of Energy Solar Decathlon 2013, you might want to pay a visit to Miss Barbara. This bodiless mannequin acts as the student liaison for the instrumentation team. Perhaps the steadiest head on the competition site, Miss Barbara helps student decathletes locate the instrumentation trailer when questions arise about measured contests. Photo of a mannequin's head looking out of a construction trailer's window. The unwavering gaze of Miss Barbara serves as a beacon for decathletes who

287

Beam profile effects on NPB performance  

SciTech Connect (OSTI)

A comparison of neutral particle beam (NPB) brightness for various neutral beam profiles indicates that the widely used assumption of a Gaussian profile may be misleading for collisional neutralizers. An analysis of available experimental evidence shows that lower peaks and higher tails, compared to a Gaussian beam profile, are observed out of collisional neutralizers, which implies that peak brightness is over estimated, and for a given NPB platform-to-target range, the beam current (power), dwell time or some combination of such engagement parameters would have to be altered to maintain a fixed dose on the target. Based on the present analysis, this factor is nominally about 2.4 but may actually be as low as 1.8 or as high as 8. This is an important consideration in estimating NPB constellation performance in SDI engagement contexts.

Leclaire, R.J. Jr.; Bunker, W.J.

1988-03-01T23:59:59.000Z

288

Natural gas annual 1993 supplement: Company profiles  

SciTech Connect (OSTI)

The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. This report, the Natural Gas Annual 1993 Supplement: Company Profiles, presents a detailed profile of 45 selected companies in the natural gas industry. The purpose of this report is to show the movement of natural gas through the various States served by the companies profiled. The companies in this report are interstate pipeline companies or local distribution companies (LDC`s). Interstate pipeline companies acquire gas supplies from company owned production, purchases from producers, and receipts for transportation for account of others. Pipeline systems, service area maps, company supply and disposition data are presented.

Not Available

1995-02-01T23:59:59.000Z

289

Commercial Building Profiles | OpenEI  

Open Energy Info (EERE)

Building Profiles Building Profiles Dataset Summary Description This dataset includes simulation results from a national-scale study of the commercial buildings sector. Electric load profiles contain the hour-by-hour demand for electricity for each building. Summary tables describe individual buildings and their overall annual energy performance. The study developed detailed EnergyPlus models for 4,820 different samples in 2003 CBECS. Simulation output is available for all and organized by CBECS's identification number in public use datasets. Three modeling scenarios are available: existing stock (with 2003 historical weather), stock as if rebuilt new (with typical weather), and the stock if rebuilt using maximum efficiency technology (with typical weather). The following reports describe how the dataset was developed:

290

Sector Profiles of Significant Large CHP Markets, March 2004  

Broader source: Energy.gov [DOE]

Overview of market assessments of large CHP sector profiles of the chemicals, food, and pharmaceuticals sectors

291

Compton profiles of LiF  

Science Journals Connector (OSTI)

?-ray Compton profiles of LiF with the scattering vector along the , , and axes are reported. Both the absolute profiles and their anisotropy are derived from a tight-binding model and compared with experiments. The overall agreement between theory and experiment is found to be satisfactory for all three directions. Recent calculations of Euwema et al. are compared with the present work and found to predict incorrect anisotropies, particularly at small momentum transfers. It is also shown that momentum distributions can be orders of magnitude more sensitive to anisotropy in the electron distributions than x-ray structure factors, at least in materials where overlap of the wave functions is small.

K. -F. Berggren; F. Martino; P. Eisenberger; W. A. Reed

1976-03-15T23:59:59.000Z

292

Process for forming retrograde profiles in silicon  

DOE Patents [OSTI]

A process is disclosed for forming retrograde and oscillatory profiles in crystalline and polycrystalline silicon. The process consisting of introducing an n- or p-type dopant into the silicon, or using prior doped silicon, then exposing the silicon to multiple pulses of a high-intensity laser or other appropriate energy source that melts the silicon for short time duration. Depending on the number of laser pulses directed at the silicon, retrograde profiles with peak/surface dopant concentrations which vary are produced. The laser treatment can be performed in air or in vacuum, with the silicon at room temperature or heated to a selected temperature.

Weiner, K.H.; Sigmon, T.W.

1996-10-15T23:59:59.000Z

293

Process for forming retrograde profiles in silicon  

DOE Patents [OSTI]

A process for forming retrograde and oscillatory profiles in crystalline and polycrystalline silicon. The process consisting of introducing an n- or p-type dopant into the silicon, or using prior doped silicon, then exposing the silicon to multiple pulses of a high-intensity laser or other appropriate energy source that melts the silicon for short time duration. Depending on the number of laser pulses directed at the silicon, retrograde profiles with peak/surface dopant concentrations which vary from 1-1e4 are produced. The laser treatment can be performed in air or in vacuum, with the silicon at room temperature or heated to a selected temperature.

Weiner, Kurt H. (San Jose, CA); Sigmon, Thomas W. (Phoenix, AZ)

1996-01-01T23:59:59.000Z

294

AVESTAR® - Control  

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

Control Control AVESTAR control system efforts are focused on development of computational approaches for simulation and advanced controls for energy systems. Power generation technologies are growing more sophisticated and require control strategies and systems to be updated to allow plant owners to take full advantage of their increased capabilities. A well designed control system can provide the ability to hit and maintain setpoints without oscillation for optimum power plant operation. Implementation of complex control systems developed through advanced computational approaches will increase efficiency and reduce emissions. The AVESTAR team is focusing on the following three areas of process control research: 1) Plant-wide control system design, 2) Advanced regulatory control, and 3) Advanced process control. Process control models, methods, and tools are developed and applied to a wide variety of energy systems ranging from smart plant to smart grid.

295

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

296

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

297

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe1mcfarlane  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

298

Broadband Heating Rate Profile Project (BBHRP) - SGP ripbe370mcfarlane  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

299

DISPLACEMENT CONTROL OF HYDRAULIC ACTUATORS USING A PASSIVITY BASED NONLINEAR CONTROLLER  

E-Print Network [OSTI]

/motor is lower than the control bandwidth of a valve. In addition, one variable flow source can drive only one control inputs, including the displacement of a variable displacement pump, the opening area reduction. The proportional valve will follow a high frequency opening profile, while the nominal valve

Li, Perry Y.

300

Viscosity profile of the lower mantle  

Science Journals Connector (OSTI)

......October 1985 research-article Articles Viscosity profile of the lower mantle Kirk Ellsworth...determine the variation of effective viscosity across the lower mantle from models of...consistent with recent estimates of mantle viscosity from post-glacial rebound and true......

Kirk Ellsworth; Gerald Schubert; Charles G. Sammis

1985-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

Route profile analysis system and method  

DOE Patents [OSTI]

A system for recording terrain profile information is disclosed. The system accurately senses incremental distances traveled by a vehicle along with vehicle inclination, recording both with elapsed time. The incremental distances can subsequently be differentiated with respect to time to obtain acceleration. The computer acceleration can then be used to correct the sensed inclination.

Mullenhoff, D.J.; Wilson, S.W.

1982-07-29T23:59:59.000Z

302

MATLAB Functions for Profiled Estimation of  

E-Print Network [OSTI]

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

303

Performance Profiles of Major Energy Producers  

Reports and Publications (EIA)

The information and analyses in Performance Profiles of Major Energy Producers is intended to provide a critical review, and promote an understanding, of the possible motivations and apparent consequences of investment decisions made by some of the largest corporations in the energy industry.

2011-01-01T23:59:59.000Z

304

Child and Family Poverty Saskatchewan Profile 2008  

E-Print Network [OSTI]

Child and Family Poverty Saskatchewan Profile 2008 Summary 19.9% of Saskatchewan's children under Saskatchewan's child poverty rate is the second· highest in the country, following only British Columbia.1% in Canada and 21.7% in Saskatchewan (Chart 1). Seventeen years later, in 2006, the national child poverty

Argerami, Martin

305

utility functions scaling profiles utility-fair  

E-Print Network [OSTI]

bandwidth utility functions scaling profiles utility-fair I. INTRODUCTION The emerging MPEG-4 video. This can result in a significant increase in the utilization of network capacity [1]. These techniques. Bandwidth utility functions [9] can be used to characterize an application's capability to adapt over

Chang, Shih-Fu

306

An Economic Profile of the Biosciences Industry  

E-Print Network [OSTI]

An Economic Profile of the Biosciences Industry in West Virginia1 February 2008 By Anthony C. Gregory & Tom S. Witt Bureau of Business and Economic Research College of Business and Economics West are the responsibility of the authors. Mr. Gregory is a graduate research assistant, Bureau of Business and Economic

Mohaghegh, Shahab

307

Triangular-profile single-mode fiber  

Science Journals Connector (OSTI)

A low-loss triangular-profile single-mode fiber is reported. The fiber loss at 1.3–1.55-?m wavelengths is below 0.4 dB/km, and its zero-chromatic-dispersion wavelength is 1.402 ?m.

Saifi, M A; Cohen, L G; Stone, J; Jang, S J

1982-01-01T23:59:59.000Z

308

Chemical Depth Profiling from Neutron Reflectometry  

SciTech Connect (OSTI)

The material profile of a thin film can be analyzed by placing the film on a substrate and by sending a neutron beam onto it at various angles of incidence. Technically, the scattering length density of the film needs to be determined as a function of depth. A reflectometer is used to measure the amount of reflection (reflectivity) as a function of the angle of incidence. Mathematically, this is equivalent to sending the neutron beam onto the film at every energy but at a fixed angle of incidence. The film profile needs to be recovered from the measured reflectivity data. Unfortunately, the unique recovery is impossible, and many distinct unrelated profiles may correspond to the same reflectivity data. In our DOE/EPSCoR sponsored research, we have developed an analytical method to uniquely recover the profile of a thin film from the measured reflectivity data. We have shown that by taking reflectivity measurements with two different substrates, one can uniquely determine the film profile. Previously, it was known that one could uniquely recover the profile by taking reflectivity measurements with three different substrates, and our findings indicate that the same goal can be accomplished by using fewer measurements. At Mississippi State University we started an informal weekly seminar (called ''the reflectometry meeting'') at to attract various undergraduate and graduate students into the field. There were about 3 undergraduate students, 6 graduate students, and 2 faculty members attending these seminars. The PI has collaborated with Dr. Norm Berk at National Institute of Standards and Technology (NIST) on various aspects of neutron reflectometry, from which various interesting problems of theoretical and practical importance have arisen. One of these problems is closely related to the important mathematical problem known as analytic extrapolation. Under appropriate conditions (known to hold in neutron reflectometry), the reflection data taken in a finite interval of neutron energies uniquely determines the data at all energies. Even though the uniqueness is assured mathematically, there are currently no available methods for analytic extrapolation. Currently, we are working on this problem as it arises in neutron reflectometry and looking for mathematical and numerical methods to extrapolate reflection data to higher and lower neutron energies. A solution to this problem is expected to have a big impact not only in neutron reflectometry, but in many areas of physics and engineering. The PI has collaborated with Prof. Paul Sacks of Iowa State University, Prof. Daniil Sarkissian of Mississippi State University, and Prof. Levon Babadzanjanz of St. Petersburg State University, Russia on mathematical and numerical aspects of neutron reflectometry. These researchers jointly worked with the PI towards the preparation of numerical routines to extract the film profile from the reflection data. We have prepared a Mathematica interface running Fortran 95 algorithms to produce reflection data from a given profile. These Fortran 95 algorithms have been prepared by updating and modifying Prof. Sacks' Fortran 77 routine and by updating Dr. Gian Felcher's (of Argonne National Laboratory) Fortran 77 routine. We are also preparing similar algorithms written in Mathematica so that they can be used without needing Fortran. We are also working towards preparing algorithms in Fortran 95 and in Mathematica to produce the film profile from the given sets of reflectivity data.

Tuncay Aktosun

2006-03-21T23:59:59.000Z

309

Fast solution of optimal control problems in the selective cooling of steel  

E-Print Network [OSTI]

Fast solution of optimal control problems in the selective cooling of steel F. Tr¨oltzsch and A of cooling milled steel profiles at a maximum rate subject to given bounds on the difference of temperatures in prescribed points of the steel profile. This leads to a nonlinear parabolic control problem with state

Chemnitz, Technische Universität

310

Balance Engineering - Eli Lilly Teaming Profile  

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

Industrial SPP / Partner Teaming Profile Industrial SPP / Partner Teaming Profile UService/Product Provider Balance Engineering Inc. 3711 East Carmel Drive Carmel, IN 46033 Business: Consulting Engineering Jack F. Staley President Phone: 317-844-3178 Email: HTUjack@balanceeng.comUT U I ndustrial Partner Eli Lilly and Company Lilly Corporate Center Indianapolis, IN 46285 Business: Pharmaceuticals David S. Drzewiecki Group Leader, Energy & Utilities Phone: 317-433-0336 Email: HTUDrzewiecki_David_S@Lilly.comUT Balance Engineering identifies $3 million in energy savings at Lilly facility Project Scope Balance Engineering conducted a facility energy assessment of the Eli Lilly Clinton Laboratories, a large multi-building pharmaceutical campus. The goals of the assessment were to determine the major uses of

311

DOE Solar Decathlon: News Blog » Profiles  

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

'Profiles' 'Profiles' Instrumentation for Dummies Sunday, September 29, 2013 By Alexis Powers If your head spins at the thought of 105 sensors collecting 12 data points every 15 minutes for all 19 houses competing in the U.S. Department of Energy Solar Decathlon 2013, you might want to pay a visit to Miss Barbara. This bodiless mannequin acts as the student liaison for the instrumentation team. Perhaps the steadiest head on the competition site, Miss Barbara helps student decathletes locate the instrumentation trailer when questions arise about measured contests. Photo of a mannequin's head looking out of a construction trailer's window. The unwavering gaze of Miss Barbara serves as a beacon for decathletes who are searching for answers related to monitored performance-and baked

312

Experiment Profile: MINERvA NAME:  

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

Profile: MINERvA Profile: MINERvA NAME: Main Injector Experiment for v-A, or MINERvA ORIGIN OF THE NAME: The Main Injector is the name of the link in the Fermilab accelerator chain that takes protons and accelerates them before "injecting" them in a beamline to hit a target. Nuclear physics uses the term "v-A" as shorthand for atomic number studies. WHAT WILL MINERvA TELL US ABOUT THE WORLD? * MINERvA opens a new window for seeing how matter evolved from simple particles to more complex composites of particles, which eventually created everything you see. * Data from MINERvA provides crucial first steps so that current and future neutrino experiments can answer the following questions: * Were neutrinos key to the evolution of the galaxy by allowing

313

Industrial SSP Partner Teaming Profile SWEPCO Intertape  

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

Industrial SPP / Partner Teaming Profile Industrial SPP / Partner Teaming Profile Industrial Partner Intertape Polymer Group 1101 Eagle Springs Rd. Danville, VA 24540 Business: Specialized Polyolefin Plastic/Paper Products Mike Jones Manager of Engineering Phone: 434-797-8359 Email: mbjones@itape.com Service/Product Provider Southwestern Petroleum Corporation 534 N. Main St Fort Worth, TX 76164 Business: High Performance Lubricants Paul J. Dickerson Senior Vice President & COO Phone: 817-348-7275 Email: pjd@swepcousa.com Southwestern Petroleum Corporation (SWEPCO) captures "low-hanging fruit" with superior lubricants for Intertape Polymer Project Scope SWEPCO analyzed four problematic gear boxes at the Intertape Polymer Group facility in Danville, VA, which over-heated and tripped the circuit due to high amperage overload. SWEPCO implemented

314

Performance Profiles of Major Energy Producers 1995  

Gasoline and Diesel Fuel Update (EIA)

5) 5) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1995 January 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1995 ii To download the Financial Reporting System 1977-1995 data files, access the Energy Information Center's FTP site, at ftp: //ftp.eia.doe.gov or access the Energy Information Administration's Home Page at http://www.eia.doe.gov.

315

Performance Profiles of Major Energy Producers 1996  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1996 January 1998 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1996 ii The Financial Reporting System 1977-1996 data files can be downloaded from the Energy Information

316

Performance Profiles of Major Energy Producers 1997  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1997 January 1999 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Energy Information Administration/ Performance Profiles of Major Energy Producers 1997 ii The Financial Reporting System 1977-1997 data files can be downloaded from the Energy Information Administration's

317

Vertical profiles of halocarbons in the stratosphere  

SciTech Connect (OSTI)

Stratospheric air samples collected between 10 and 35 km altitude by means of a cryogenic sampler were analyzed by gaschromatography. Thus vertical profiles of source gases for halogen radicals were derived, such as CCl4, CCl3F, CCl2F2, CClF3, CF4, C2F3Cl3, C2F4Cl2, C2F5Cl, C2F6, CH3Cl, CH3CCl3, CHF2Cl, CH3Br, CBrF3, and CBrCl2F. Systematic discrepancies between measured and modelled halocarbon profiles point to deficiencies of present one- and two-dimensional models. Measurements of fully halogenated hydrocarbons provide a tool for systematically studying these deficiencies and thus improving the models. 40 references.

Fabian, P.; Borchers, R.

1984-01-01T23:59:59.000Z

318

Compton profiles of Ne, Ar, and Kr  

Science Journals Connector (OSTI)

Compton profiles of Ne, Ar, and Kr are calculated from ground-state energies and wave functions with full correlation contributions included. The latter is carried out by regarding atoms as inhomogeneous interacting electron-gas systems using the Kohn-Sham self-consistent scheme in the local-density approximation. The calculated values are brought closer to the experimental values from Hartree-Fock results. There are numerical problems for large atoms.

B. Y. Tong and L. Lam

1978-08-01T23:59:59.000Z

319

Surface skeleton generation based on 360-degree profile scan  

E-Print Network [OSTI]

A rapid prototyping method is invented, which works on a specific data structure produced by an optical metrology technique: 360-degree surface profile scanning. A computer algorithm takes an object profile data, restructure ...

Chen, Lujie

320

Building America Top Innovations 2013 Profile - Zero Energy-Ready...  

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

Top Innovations 2013 Profile - Zero Energy-Ready Single-Family Homes Building America Top Innovations 2013 Profile - Zero Energy-Ready Single-Family Homes Many Building America...

Note: This page contains sample records for the topic "folder profile control" 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

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......White et al., 2009) are provided for comparing profiles organized into two groups. STAMP implements the ANOVA and Kruskal-Wallis H-test for comparing three or more groups of profiles. Statistically significant features can be further examined......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

322

Turbulence Patch Identification in Potential Density or Temperature Profiles  

Science Journals Connector (OSTI)

The Thorpe analysis is a recognized method used to identify and characterize turbulent regions within stably stratified fluids. By comparing an observed profile of potential temperature or potential density to a reference profile obtained by ...

Richard Wilson; Hubert Luce; Francis Dalaudier; Jacques Lefrère

2010-06-01T23:59:59.000Z

323

Activity-based protein profiling of secreted cellulolytic enzyme...  

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

based protein profiling of secreted cellulolytic enzyme activity dynamics in Trichoderma reesei QM6a, NG14, and RUT-C30 Activity-based protein profiling of secreted cellulolytic...

324

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Christopher Williams; Mike Jensen

325

ARM - Midlatitude Continental Convective Clouds Experiment (MC3E): Multi-Frequency Profilers, 449 MHz Profiler(williams-449_prof)  

SciTech Connect (OSTI)

This data was collected by the NOAA 449-MHz and 2.8-GHz profilers in support of the Department of Energy (DOE) and NASA sponsored Mid-latitude Continental Convective Cloud Experiment (MC3E). The profiling radars were deployed in Northern Oklahoma at the DOE Atmospheric Radiation Mission (ARM) Southern Great Plans (SGP) Central Facility from 22 April through 6 June 2011. NOAA deployed three instruments: a Parsivel disdrometer, a 2.8-GHz profiler, and a 449-MHz profiler. The parasivel provided surface estimates of the raindrop size distribution and is the reference used to absolutely calibrate the 2.8 GHz profiler. The 2.8-GHz profiler provided unattenuated reflectivity profiles of the precipitation. The 449-MHz profiler provided estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. By using the combination of 2.8-GHz and 449-MHz profiler observations, vertical profiles of raindrop size distributions can be retrieved. The profilers are often reference by their frequency band: the 2.8-GHz profiler operates in the S-band and the 449-MHz profiler operates in the UHF band. The raw observations are available as well as calibrated spectra and moments. This document describes how the instruments were deployed, how the data was collected, and the format of the archived data.

Williams, Christopher; Jensen, Mike

2012-11-06T23:59:59.000Z

326

Thermohaline convection with nonlinear salt profiles N. J. Balmfortha)  

E-Print Network [OSTI]

of tem- perature and salinity; the background temperature gradient is constant, while the salt profile tangent profile is presented. It is shown that nonlinearity in the background salinity profile leads of temperature and salinity. Hence we need to jus- tify our study of the stability of this background

Julien, Keith

327

.Heat Generation Patterns and Temperature Profiles in_ Electroslag Welding  

E-Print Network [OSTI]

l .Heat Generation Patterns and Temperature Profiles in_ Electroslag Welding ) · T. DEBROY, J process parameters such as the voltage profiles, heat generation patterns and temperature profiles with equivalent slag, electrode and other geometrical variable; Calcu- 0 lations show that the heat generation

Eagar, Thomas W.

328

Dynamic control of remelting processes  

DOE Patents [OSTI]

An apparatus and method of controlling a remelting process by providing measured process variable values to a process controller; estimating process variable values using a process model of a remelting process; and outputting estimated process variable values from the process controller. Feedback and feedforward control devices receive the estimated process variable values and adjust inputs to the remelting process. Electrode weight, electrode mass, electrode gap, process current, process voltage, electrode position, electrode temperature, electrode thermal boundary layer thickness, electrode velocity, electrode acceleration, slag temperature, melting efficiency, cooling water temperature, cooling water flow rate, crucible temperature profile, slag skin temperature, and/or drip short events are employed, as are parameters representing physical constraints of electroslag remelting or vacuum arc remelting, as applicable.

Bertram, Lee A. (Dublin, CA); Williamson, Rodney L. (Albuquerque, NM); Melgaard, David K. (Albuquerque, NM); Beaman, Joseph J. (Austin, TX); Evans, David G. (Clinton, NY)

2000-01-01T23:59:59.000Z

329

GDI+ Controls  

Science Journals Connector (OSTI)

Owner-drawn controls...are one of the most ambitious projects a developer can undertake. This is not because they are conceptually tricky, but because a moderately sophisticated control needs a great...

Matthew MacDonald

2002-01-01T23:59:59.000Z

330

Project Controls  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Project controls are systems used to plan, schedule, budget, and measure the performance of a project/program. The cost estimation package is one of the documents that is used to establish the baseline for project controls. This chapter gives a brief description of project controls and the role the cost estimation package plays.

1997-03-28T23:59:59.000Z

331

KMC Controls Inc Kreuter Manufacturing Company | Open Energy Information  

Open Energy Info (EERE)

KMC Controls Inc Kreuter Manufacturing Company KMC Controls Inc Kreuter Manufacturing Company Jump to: navigation, search Name KMC Controls, Inc. (Kreuter Manufacturing Company) Place New Paris, Indiana Zip IN 46553 Product Manufacturer of building management control products and systems. References KMC Controls, Inc. (Kreuter Manufacturing Company)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. KMC Controls, Inc. (Kreuter Manufacturing Company) is a company located in New Paris, Indiana . References ↑ "KMC Controls, Inc. (Kreuter Manufacturing Company)" Retrieved from "http://en.openei.org/w/index.php?title=KMC_Controls_Inc_Kreuter_Manufacturing_Company&oldid=348127" Categories:

332

A forensic STR profiling system for the Eurasian badger: A framework for developing profiling systems for wildlife species  

E-Print Network [OSTI]

A forensic STR profiling system for the Eurasian badger: A framework for developing profiling short tandem repeat (STR) profiling systems for forensic identification is complicated in animal species and a lack of developed STR markers can make adhering to human forensic guidelines difficult. Furthermore

Thorpe, Roger Stephen

333

Analysis and Control of Heteroazeotropic Batch Distillation  

E-Print Network [OSTI]

Analysis and Control of Heteroazeotropic Batch Distillation S. Skouras and S. Skogestad Dept.interscience.wiley.com). The separation of close-boiling and azeotropic mixtures by heterogeneous azeotropic distillation is addressed. The results show that heteroazeotropic batch distillation exhibits substantial flexibility. The column profile

Skogestad, Sigurd

334

Characterization of X-ray generator beam profiles.  

SciTech Connect (OSTI)

T to compute the radiography properties of various materials, the flux profiles of X-ray sources must be characterized. This report describes the characterization of X-ray beam profiles from a Kimtron industrial 450 kVp radiography system with a Comet MXC-45 HP/11 bipolar oil-cooled X-ray tube. The empirical method described here uses a detector response function to derive photon flux profiles based on data collected with a small cadmium telluride detector. The flux profiles are then reduced to a simple parametric form that enables computation of beam profiles for arbitrary accelerator energies.

Mitchell, Dean J; Harding, Lee T.; Thoreson, Gregory G.; Theisen, Lisa Anne; Parmeter, John Ethan; Thompson, Kyle Richard

2013-07-01T23:59:59.000Z

335

The density profiles of hot galactic halo gas  

E-Print Network [OSTI]

Extended gas haloes around galaxies are a ubiquitous prediction of galaxy formation scenarios. However, the density profiles of this hot halo gas is virtually unknown, although various profiles have been suggested on theoretical grounds. In order to quantitatively address the gas profile, we compare galaxies from direct cosmological simulations with analytical solutions of the underlying gas equations. We find remarkable agreement between simulations and theoretical predictions. We present an expression for this gas profile with a non-trivial dependence on the total mass profile. This expression is useful when setting up equilibrium galaxy models for numerical experiments.

Steen H. Hansen; Jesper Sommer-Larsen

2006-06-13T23:59:59.000Z

336

Institutional Controls  

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

Institutional Controls Institutional Controls Many major Federal laws (e.g., Atomic Energy Act (AEA), Resource Conservation Recovery Act (RCRA), Comprehensive Environmental Response, Compensation and Liability Act (CERCLA)), Executive Orders, regulations and various other drivers influence the use of institutional controls at DOE sites. Some drivers directly authorize or require the use of institutional controls, while others do not. DOE also uses institutional controls when no specific statutory requirement exists to supplement active remediation, pollution control, public and resource protection, and physical security, or to bolster the integrity of engineered remedies. DOE and its predecessor agencies have conducted activities for over 50 years, using land ownership and access control, environmental monitoring and surveillance, and other tools to support protection efforts at operational and inactive facilities, including radioactive waste burial grounds.

337

Performance Profiles of Major Energy Producers 2001  

Gasoline and Diesel Fuel Update (EIA)

1) 1) Distribution Category UC-950 Performance Profiles of Major Energy Producers 2001 January 2003 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This report was prepared in the Office of Energy Markets and End Use of the Energy Information Administration

338

Performance profiles of major energy producers 1989  

SciTech Connect (OSTI)

Performance Profiles of Major Energy Producers 1989 is the thirteenth annual report of the Energy Information Administration's (EIA) Financial Reporting System (FRS). The report examines financial and operating developments, with particular reference to the 23 major energy companies (the FRS companies'') required to report annually on Form EIA-28. Financial information is reported by major lines of business including oil and gas production, petroleum refining and marketing, and other energy operations. Domestic and international operations are examined separately in this report. It also traces key developments affecting the financial performance of major energy companies in 1989, as well as review of important trends.

Not Available

1991-01-23T23:59:59.000Z

339

Category:Electromagnetic Profiling Techniques | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Electromagnetic Profiling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Electromagnetic Profiling Techniques page? For detailed information on Electromagnetic Profiling Techniques, click here. Category:Electromagnetic Profiling Techniques Add.png Add a new Electromagnetic Profiling Techniques Technique Pages in category "Electromagnetic Profiling Techniques" This category contains only the following page. F Frequency-Domain Electromagnetic Survey Retrieved from "http://en.openei.org/w/index.php?title=Category:Electromagnetic_Profiling_Techniques&oldid=689835"

340

Density Profiles and Interaction between Irreversibly Adsorbed Polymer J. M. Mendez-Alcaraz,, A. Johner, and J. F. Joanny*,  

E-Print Network [OSTI]

Density Profiles and Interaction between Irreversibly Adsorbed Polymer Layers J. M. Me by irreversibly adsorbed polymer layers in good solvents are controlled by the crossover distance between strongly depends on the adsorbed polymer amount. For extremely over- and undersaturated surfaces (when

Méndez Alcaraz, José Miguel

Note: This page contains sample records for the topic "folder profile control" 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

Impact of Agrochemicals on Peronospora sparsa and Phenolic Profiles in Three Rubus arcticus Cultivars  

Science Journals Connector (OSTI)

Impact of Agrochemicals on Peronospora sparsa and Phenolic Profiles in Three Rubus arcticus Cultivars ... Pima and Mespi and newly selected clone 12B14, to P. sparsa under controlled environment in a greenhouse, (ii) to measure P. sparsa DNA as a marker for pathogen growth in the host, (iii) to analyze phenolic profiles of leaves qualitatively and quantitatively in different cultivars and treatments, and (iv) to evaluate disease control by different types of agrochemicals and, specifically, their impact on growth (pathogen DNA and symptoms) and propagation (sporulation) of the pathogen and on the composition of phenolic compounds. ... The agrochemicals used in the experiment were distilled water (positive control for infection), 0.15% (w/v) Euparen M 50WG (negative control for infection, tolylfluanid fungicide, Bayer), 0.3% (w/v) Aliette 80WG (the second negative control for infection, fosetyl-Al/fungicide, Bayer), 0.4% (v/v) Phostrol (potassium, sodium, and ammonium salts of phosphorous acid/fungicide, Nufarm Americas Inc.), 0.5% (v/v) Phosfik (undefined salts of phosphorous acid, Kemira Growhow Oyj.), 0.5% (v/v) Farm-Fos-44 (potassium salt of phosphorous acid, Farm-Fos Ltd.), 0.4% (v/v) Kaliumfosfiet (potassium salt of phosphorous acid, van Iperen), and 0.025 and 0.2 g/L active ingredient (ai) of Bion 50WG [benzo-(1,2,3)-thiadiazole-7-carbothioic acid S-methyl ester, Syngenta]. ...

Anne Hukkanen; Katri Kostamo; Sirpa Kärenlampi; Harri Kokko

2008-01-10T23:59:59.000Z

342

State Nuclear Profiles - Energy Information Administration  

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

Nuclear Reports Nuclear Reports State Nuclear Profiles Data for 2010 | Release Date: April 26, 2012 | Next Release: April 2014 | full report Archived State Nuclear Profiles Choose a Year: Select a Year 2009 Go State Net summer capacity (megawatts) Rank Net generation (thousand megawatthours) Rank Alabama 5,043 5 37,941 7 Arizona 3,937 12 31,200 11 Arkansas 1,835 19 15,023 19 California 4,390 8 32,201 10 Connecticut 2,103 18 16,750 17 Florida 3,924 13 23,936 15 Georgia 4,061 10 33,512 8 Illinois 11,441 1 96,190 1 Iowa 601 31 4,451 31 Kansas 1,160 27 9,556 26 Louisiana 2,142 16 18,639 16 Maryland 1,705 20 13,994 20 Massachusetts 685 29 5,918 29 Michigan 3,947 11 29,625 12 Minnesota 1,594 21 13,478 21 Mississippi 1,251 23 9,643 25

343

Load Control  

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

Visualization and Controls Peer Review Visualization and Controls Peer Review Load Control for System Reliability and Measurement-Based Stability Assessment Dan Trudnowski, PhD, PE Montana Tech Butte, MT 59701 dtrudnowski@mtech.edu 406-496-4681 October 2006 2 Presentation Outline * Introduction - Goals, Enabling technologies, Overview * Load Control - Activities, Status * Stability Assessment - Activities, Status * Wrap up - Related activities, Staff 3 Goals * Research and develop technologies to improve T&D reliability * Technologies - Real-time load control methodologies - Measurement-based stability-assessment 4 Enabling Technologies * Load control enabled by GridWise technology (e.g. PNNL's GridFriendly appliance) * Real-time stability assessment enabled by Phasor Measurement (PMU) technology 5 Project Overview * Time line: April 18, 2006 thru April 17, 2008

344

EMPIRICAL MODELS FOR DARK MATTER HALOS. II. INNER PROFILE SLOPES, DYNAMICAL PROFILES, AND /3  

E-Print Network [OSTI]

simulated dark matter halos better than a Navarro- Frenk-WhiteYlike model with an equal number of parameters]) density profiles of simulated dark matter halos (Navarro et al. 2004). Intriguingly, this function was shown to provide a better fit than thethree-parameter Navarro-Frenk-White (NFW)Ylike model

Terzi, BalÂ?a

345

Controlling Fleas  

E-Print Network [OSTI]

. Control An integrated flea control program includes good sanitation and treatment of the pet and environment. You can eliminate fleas from your home with proper treatment, but it may take time, especially if the infes- tation is heavy. Sanitation. Change... of an integrated flea control program for your home. Don?t wait until fleas get out of hand. Begin your flea control program early for best results. Start a fre- quent and thorough sanitation program, regularly inspect your pet for fleas, carefully follow...

Merchant, Michael E.; Robinson, James V.

2006-12-18T23:59:59.000Z

346

Friction Control Solutions Inc FriCSo | Open Energy Information  

Open Energy Info (EERE)

Friction Control Solutions Inc FriCSo Friction Control Solutions Inc FriCSo Jump to: navigation, search Name Friction Control Solutions Inc. (FriCSo) Place Farmington Hills, Michigan Zip 48331 Product FriCSo offers surface engineering solutions to reduce friction between metal parts and its resulting costs. Main market targeted is engine manufacturing for the shipping and military industries. References Friction Control Solutions Inc. (FriCSo)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Friction Control Solutions Inc. (FriCSo) is a company located in Farmington Hills, Michigan . References ↑ "Friction Control Solutions Inc. (FriCSo)" Retrieved from "http://en.openei.org/w/index.php?title=Friction_Control_Solutions_Inc_FriCSo&oldid=345507"

347

International Rectifier Power Control Systems | Open Energy Information  

Open Energy Info (EERE)

Rectifier Power Control Systems Rectifier Power Control Systems Jump to: navigation, search Name International Rectifier Power Control Systems Place El Segundo, California Zip 90245 Product Originally a division of International Rectifier Corporation manufacturing semiconductor and module components for power management products. References International Rectifier Power Control Systems[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. International Rectifier Power Control Systems is a company located in El Segundo, California . References ↑ "International Rectifier Power Control Systems" Retrieved from "http://en.openei.org/w/index.php?title=International_Rectifier_Power_Control_Systems&oldid=347055"

348

Optimizing a Mobile Robot Control System using GPU Acceleration  

E-Print Network [OSTI]

Guinness, and Fred Martin University of Massachusetts Lowell, 1 University Ave, Lowell, MA, US ABSTRACT This paper CPU on our custom robot platform. The process of profiling the ROS control program and selecting of Stark, consisting of the same chassis and sensor load-out. The primary control program for Stark

349

Feedback control of resistive instabilities  

SciTech Connect (OSTI)

Resistive instabilities are responsible for much of the global behavior and the determination of the possible domains of operation of tokamaks. Their successful control could have definite advantages, even making available new regimes of operation. Elimination of sawtoothing might allow operation with higher currents and more peaked current profiles, with q on axis well below unity. In this work different feedback schemes are explored. Simple analytical derivations of the effects of local heating and current drive feedback are presented. Although control of modes with m greater than or equal to 2 is fairly straightforward, the control of the m = 1 mode is more difficult because of its proximity to ideal instability. The most promising scheme utilizes high energy trapped particles. 20 refs., 3 figs.

White, R.B.; Rutherford, P.H.; Furth, H.P.; Park, W.; Chen, L.

1985-12-01T23:59:59.000Z

350

Building Technologies Program - Funding Profile by Subprogram  

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

Efficiency and Renewable Energy/ Efficiency and Renewable Energy/ Building Technologies FY 2013 Congressional Budget Building Technologies Program Funding Profile by Subprogram Non-Comparable Structure (Dollars in Thousands) FY 2011 Current a FY 2012 Enacted FY 2013 Request Building Technologies Program Commercial Buildings Integration 37,308 31,913 61,079 Emerging Technologies 75,694 84,694 108,344 Equipment and Buildings Standards 35,000 58,302 98,250 Residential Buildings Integration 37,308 31,282 35,872 Technology Validation and Market Introduction 22,000 8,500 0 SBIR/STTR 0 4,513 6,455 Total, Building Technologies Program 207,310 219,204 310,000 Comparable Structure (Dollars in Thousands) FY 2011 Current a FY 2012 Enacted FY 2013 Request Building Technologies Program

351

Performance Profiles of Major Energy Producers 1994  

Gasoline and Diesel Fuel Update (EIA)

4) 4) Distribution Category UC-950 Performance Profiles of Major Energy Producers 1994 January 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This report was prepared in the Office of Energy Markets and End Use of the Energy Information Administration, U.S. Department of Energy, under the general direction of W. Calvin Kilgore. The project was directed by Mark E. Rodekohr, Director of the Energy Markets and Contingency Information Division (202) 586-1441, and Mary E. Northup, Chief of

352

Performance profiles of major energy producers 1993  

SciTech Connect (OSTI)

Performance Profiles of Major Energy Producers 1993 is the seventeenth annual report of the Energy Information Administration`s (EIA) Financial Reporting System (FRS). The report examines financial and operating developments in energy markets, with particular reference to the 25 major US energy companies required to report annually on Form EIA-28. Financial information is reported by major liens of business, including oil and gas production, petroleum refining and marketing, other energy operations, and nonenergy businesses. Financial and operating results are presented in the context of energy market developments with a view toward identifying changing corporate strategies and measuring the performance of ongoing operations both in the US and abroad. This year`s report analyzes financial and operating developments for 1993 (Part 1: Developments in 1993) and also reviews key developments during the 20 years following the Arab Oil Embargo of 1973--1974 (Part 2: Major Energy Company Strategies Since the Arab Oil Embargo). 49 figs., 104 tabs.

NONE

1995-01-01T23:59:59.000Z

353

Electron profile stiffness and critical gradient studies  

SciTech Connect (OSTI)

Electron profile stiffness was studied in DIII-D L-mode discharges by systematically varying the heat flux in a narrow region with electron cyclotron heating and measuring the local change produced in {nabla}T{sub e}. Electron stiffness was found to slowly increase with toroidal rotation velocity. A critical inverse temperature gradient scale length 1/L{sub C} {approx} 3 m{sup -1} was identified at {rho}=0.6 and found to be independent of rotation. Both the heat pulse diffusivity and the power balance diffusivity, the latter determined by integrating the measured dependence of the heat pulse diffusivity on -{nabla}T{sub e}, were fit reasonably well by a model containing a critical inverse temperature gradient scale length and varying linearly with 1/L{sub T} above the threshold.

DeBoo, J. C.; Petty, C. C.; Burrell, K. H.; Smith, S. P. [General Atomics, P.O. Box 85608, San Diego, California 92186-5608 (United States); White, A. E. [Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Doyle, E. J.; Hillesheim, J. C.; Rhodes, T. L.; Schmitz, L.; Wang, G.; Zeng, L. [University of California-Los Angeles, Los Angeles, California 90095-7099 (United States); Holland, C. [University of California-San Diego, La Jolla, California 92093-0417 (United States); McKee, G. R. [University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)

2012-08-15T23:59:59.000Z

354

US EIA Country Energy Profiles | Open Energy Information  

Open Energy Info (EERE)

US EIA Country Energy Profiles US EIA Country Energy Profiles Jump to: navigation, search Tool Summary LAUNCH TOOL Name: US EIA Country Energy Profiles Agency/Company /Organization: United States Department of Energy Partner: United States Energy Information Agency Sector: Energy Topics: GHG inventory, Background analysis Website: tonto.eia.doe.gov/country/index.cfm Equivalent URI: cleanenergysolutions.org/content/country-energy-profiles-website Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. References: US EIA Country Energy Profiles[1] This reegle website provides comprehensive energy profiles for all countries with information from reliable sources such as UN or the World

355

Leadership in Energy and Environmental Design (LEED) Project Profiles |  

Open Energy Info (EERE)

Leadership in Energy and Environmental Design (LEED) Project Profiles Leadership in Energy and Environmental Design (LEED) Project Profiles Jump to: navigation, search Tool Summary Name: Leadership in Energy and Environmental Design (LEED) Project Profiles Agency/Company /Organization: U.S. Green Building Council Sector: Energy Focus Area: Buildings Phase: Create a Vision, Evaluate Options, Develop Goals Resource Type: Case studies/examples User Interface: Website Website: www.usgbc.org/DisplayPage.aspx?CMSPageID=1721 Cost: Free The LEED Project Profile (page) is repository of LEED certified projects which provides profiles for specific projects, including strategies which were included in the project. This page can be used to generate ideas for various building types through a community. Overview The LEED Project Profile (page) is repository of LEED certified projects

356

Category:Electrical Profiling Configurations | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Electrical Profiling Configurations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Electrical Profiling Configurations page? For detailed information on Electrical Profiling Configurations as exploration techniques, click here. Category:Electrical Profiling Configurations Add.png Add a new Electrical Profiling Configurations Technique Pages in category "Electrical Profiling Configurations" The following 3 pages are in this category, out of 3 total. D DC Resistivity Survey (Dipole-Dipole Array) DC Resistivity Survey (Mise-Á-La-Masse)

357

Gaussian beam profile shaping apparatus, method therefor and evaluation thereof  

DOE Patents [OSTI]

A method and apparatus maps a Gaussian beam into a beam with a uniform irradiance profile by exploiting the Fourier transform properties of lenses. A phase element imparts a design phase onto an input beam and the output optical field from a lens is then the Fourier transform of the input beam and the phase function from the phase element. The phase element is selected in accordance with a dimensionless parameter which is dependent upon the radius of the incoming beam, the desired spot shape, the focal length of the lens and the wavelength of the input beam. This dimensionless parameter can also be used to evaluate the quality of a system. In order to control the radius of the incoming beam, optics such as a telescope can be employed. The size of the target spot and the focal length can be altered by exchanging the transform lens, but the dimensionless parameter will remain the same. The quality of the system, and hence the value of the dimensionless parameter, can be altered by exchanging the phase element. The dimensionless parameter provides design guidance, system evaluation, and indication as to how to improve a given system.

Dickey, Fred M. (Albuquerque, NM); Holswade, Scott C. (Albuquerque, NM); Romero, Louis A. (Albuquerque, NM)

1999-01-01T23:59:59.000Z

358

SHOCKWAVE PROFILE AND BAUSCHINGER EFFECT IN DEPLETED URANIUM  

Science Journals Connector (OSTI)

Dynamic damage evolution in materials is of growing interest in particular the role of defect structure on material strength during a dynamic experiment. Many studies in the past have seen strong correlations between the shockwave profile and the defect structure during dynamic experiments such as quasi?elastic release behavior. Bauschinger effect is a microstructurally controlled process in which a material displays a change in stress?strain characterisitics due to a change in the defect structure. Studies on depleted uranium have revealed indications of Bauschinger effect being a mechanism present during quasi?static experiments which could be a result of the large amount of twinning observed in these materials. As work continues to improve strength models it becomes imperitive to understand the role of defect structure on the properties of materials under dynamic conditions. The study reported here is an observation of the release wave behavior in depleted uranium that first undergoes compressive shock loading followed by a reversal of the loading direction upon release.

D. D. Koller; G. T. Gray III; R. S. Hixson

2007-01-01T23:59:59.000Z

359

Project Profile: Low-Cost, Lightweight Solar Concentrators |...  

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

Cost, Lightweight Solar Concentrators Project Profile: Low-Cost, Lightweight Solar Concentrators JPL logo The Jet Propulsion Laboratory (JPL), with funding from the 2012 SunShot...

360

Project Profile: Innovative Thermal Energy Storage for Baseload...  

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

Thermal Energy Storage for Baseload Solar Power Generation Project Profile: Innovative Thermal Energy Storage for Baseload Solar Power Generation University of South Florida logo...

Note: This page contains sample records for the topic "folder profile control" 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

Project Profile: Innovative Phase Change Thermal Energy Storage...  

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

Phase Change Thermal Energy Storage Solution for Baseload Power Project Profile: Innovative Phase Change Thermal Energy Storage Solution for Baseload Power Infinia logo Infinia,...

362

Project Profile: Influence of Novel Behavioral Strategies in...  

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

Influence of Novel Behavioral Strategies in Promoting the Diffusion of Solar Energy Project Profile: Influence of Novel Behavioral Strategies in Promoting the Diffusion of Solar...

363

Remote Sensing of Cirrus Particle Size Vertical Profile Using...  

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

inhomogeneity in terms of ice crystal sizes and shapes. The vertical variation of ice crystal size can alter the radiative heatingcooling profiles in cirrus cloudy...

364

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings  

Broader source: Energy.gov [DOE]

After assessing the potential for agency size changes, a Federal agency should evaluate its greenhouse gas (GHG) emissions profile using renewable energy in buildings.

365

Characterizing Ion Profiles in Dynamic Junction Light-Emitting...  

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

advantage in applications such as light-emitting devices, transistors, and electrochromic devices, among others. Evidence suggests that the profiles of ions and...

366

Project Profile: Reducing the Cost of Thermal Energy Storage...  

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

Reducing the Cost of Thermal Energy Storage for Parabolic Trough Solar Power Plants Project Profile: Reducing the Cost of Thermal Energy Storage for Parabolic Trough Solar Power...

367

Improved Humidity Profiling by Combining Passive and Active Remote...  

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

resolution of atmospheric humidity profiles. We show preliminary results and discuss advantages and limitations related to this technique. Basic Principles The role of ground-based...

368

Project Profile: Baseload CSP Generation Integrated with Sulfur...  

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

Related Links FAQs Contact Us Offices You are here Home Concentrating Solar Power Project Profile: Baseload CSP Generation Integrated with Sulfur-Based...

369

Project Profile: Novel Thermal Energy Storage Systems for Concentratin...  

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

Solar Power Project Profile: Novel Thermal Energy Storage Systems for Concentrating Solar Power University of Connecticut logo The University of Connecticut, under the Thermal...

370

2014 Race to Zero Student Design Competition: Auburn University Profile  

Broader source: Energy.gov [DOE]

2014 Race to Zero Student Design Competition: Auburn University Profile, as posted on the U.S. Department of Energy website.

371

Coke profile and effect on methane/ethylene conversion process.  

E-Print Network [OSTI]

??The objective of this study was to investigate the coke profile with respect to time on stream and the change of product distribution due to… (more)

Al-Solami, Bandar

2012-01-01T23:59:59.000Z

372

Design and Implementation of an Ion Beam Profiling System.  

E-Print Network [OSTI]

?? The work describes the development of a reliable device for profiling anion beam in the intensity cross section. A sensor head consisting of a… (more)

Stude, Joan

2009-01-01T23:59:59.000Z

373

Project Profile: Novel Molten Salts Thermal Energy Storage for...  

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

Novel Molten Salts Thermal Energy Storage for Concentrating Solar Power Generation Project Profile: Novel Molten Salts Thermal Energy Storage for Concentrating Solar Power...

374

Project Profile: Development and Performance Evaluation of High...  

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

Development and Performance Evaluation of High Temperature Concrete for Thermal Energy Storage for Solar Power Generation Project Profile: Development and Performance Evaluation of...

375

LIMITATIONS ON MEASURING A TRANSVERSE PROFILE OF ULTRA- DENSE...  

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

LIMITATIONS ON MEASURING A TRANSVERSE PROFILE OF ULTRA- DENSE ELECTRON BEAMS WITH SCINTILLATORS A. Murokh * , J. Rosenzweig, University of California, Los Angeles, CA 90095-1547,...

376

Relativistic formulation for the Doppler-broadened line profile  

SciTech Connect (OSTI)

Profiles of spectral lines due to the thermal motion of light-emitting particles are formulated based on the classical and the relativistic Doppler effects, respectively. For the classical case, the well-known Doppler-broadened line profile is reproduced. For the relativistic case, the line profile obtained is asymmetrically broadened with increasing temperature. However, the peak frequency remains unshifted, in contrast to blueshifted, as has been predicted in the current literature. Reasoning is given as to why the relativistic Doppler-broadened line profile currently accepted is probably invalid.

Huang, Young-Sea; Chiue, Juang-Han; Huang, Yi-Chi; Hsiung, Te-Chih [Department of Physics, Soochow University, Shih-Lin, Taipei, Taiwan (China); Department of Physics, National Central University, Chung-Li, Taiwan (China)

2010-07-15T23:59:59.000Z

377

Project Profile: Deep Eutectic Salt Formulations Suitable as...  

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

Deep Eutectic Salt Formulations Suitable as Advanced Heat Transfer Fluids Project Profile: Deep Eutectic Salt Formulations Suitable as Advanced Heat Transfer Fluids Halotechnics...

378

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting  

Broader source: Energy.gov [DOE]

For evaluating a greenhouse gas (GHG) profile for employee commuting, data on behavior and attitudes are best collected through an agency-wide survey.

379

Project Profile: Next-Generation Parabolic Trough Collectors...  

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

Trough Collectors and Components for CSP Applications Project Profile: Next-Generation Parabolic Trough Collectors and Components for CSP Applications Abengoa logo Abengoa...

380

DARK MATTER HALO PROFILES OF MASSIVE CLUSTERS: THEORY VERSUS OBSERVATIONS  

SciTech Connect (OSTI)

Dark-matter-dominated cluster-scale halos act as an important cosmological probe and provide a key testing ground for structure formation theory. Focusing on their mass profiles, we have carried out (gravity-only) simulations of the concordance {Lambda}CDM cosmology, covering a mass range of 2 Multiplication-Sign 10{sup 12} to 2 Multiplication-Sign 10{sup 15} h {sup -1} M{sub Sun} and a redshift range of z = 0-2, while satisfying the associated requirements of resolution and statistical control. When fitting to the Navarro-Frenk-White profile, our concentration-mass (c-M) relation differs in normalization and shape in comparison to previous studies that have limited statistics in the upper end of the mass range. We show that the flattening of the c-M relation with redshift is naturally expressed if c is viewed as a function of the peak height parameter, {nu}. Unlike the c-M relation, the slope of the c-{nu} relation is effectively constant over the redshift range z = 0-2, while the amplitude varies by {approx}30% for massive clusters. This relation is, however, not universal: using a simulation suite covering the allowed wCDM parameter space, we show that the c-{nu} relation varies by about {+-}20% as cosmological parameters are varied. At fixed mass, the c(M) distribution is well fit by a Gaussian with {sigma}{sub c}/(c) {approx_equal} 1/3, independent of the radius at which the concentration is defined, the halo dynamical state, and the underlying cosmology. We compare the {Lambda}CDM predictions with observations of halo concentrations from strong lensing, weak lensing, galaxy kinematics, and X-ray data, finding good agreement for massive clusters (M{sub vir} > 4 Multiplication-Sign 10{sup 14} h {sup -1} M{sub Sun }), but with some disagreements at lower masses. Because of uncertainty in observational systematics and modeling of baryonic physics, the significance of these discrepancies remains unclear.

Bhattacharya, Suman; Habib, Salman; Heitmann, Katrin [High Energy Physics Division, Argonne National Laboratory, Argonne, IL 60439 (United States)] [High Energy Physics Division, Argonne National Laboratory, Argonne, IL 60439 (United States); Vikhlinin, Alexey [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)] [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States)

2013-03-20T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

Deactivation models by fitting the progression of temperature profiles – Coking model for the MTG process in adiabatic reactors  

Science Journals Connector (OSTI)

Abstract A methodology for estimating deactivation models for catalysts in industrial application is proposed. The method applies the movement of the measured axial temperature profile to gain information of the deactivating phenomena. For adiabatic reactors the conditions must be obtained by controlled heat compensation in a reactor furnace. As an example a deactivation model for the industrial methanol-to-gasoline (MTG) process is developed. The deactivation model together with suitable reactor models is a system of coupled partial differential equations with time and spatial coordinate as the independent variables. The unknown model parameters are estimated via a non-linear least square method, by matching predicted axial temperature profiles with measured profiles obtained in a pilot reactor containing a gasoline synthesis test catalyst.

Martin Dan Palis Sørensen

2014-01-01T23:59:59.000Z

382

CP-Violating Profile of the Electroweak Bubble Wall  

Science Journals Connector (OSTI)

......November 1995 research-article Articles CP-Violating Profile of the Electroweak Bubble...electroweak baryogenesis, the profile of the CP violating bubble wall, created at the first-order...solutions. Two of them smoothly connect the CP-violating broken phase and the symmetric......

Koichi Funakubo; Akira Kakuto; Shoichiro Otsuki; Kazunori Takenaga; Fumihiko Toyoda

1995-11-01T23:59:59.000Z

383

Security-oriented Data Grids for Microarray Expression Profiles  

E-Print Network [OSTI]

Security-oriented Data Grids for Microarray Expression Profiles Richard SINNOTT a,1 Christopher and comparison of microarray experiment results. Keywords. Microarray Expression Profiles, Grid security shedding light and understanding for ex- ample on biological processes. The BBSRC funded Grid enabled

Glasgow, University of

384

Identifying trait clusters by linkage profiles: application in genetical genomics  

Science Journals Connector (OSTI)

......point, s.p., mapping or CIM), and reject when , are derived...the LOD score profiles with CIM, and then using those new profiles...processes, as determined by Gene Ontology (GO) annotations (see Supplementary...experimental results with Gene Ontology (GO) annotations show that......

Joshua N. Sampson; Steven G. Self

2008-04-01T23:59:59.000Z

385

Continuous Seismic Reflexion Profiles in the Red Sea  

Science Journals Connector (OSTI)

...October 1970 research-article Continuous Seismic Reflexion Profiles in the Red Sea J. D. Phillips D. A. Ross Twenty continuous seismic reflexion profiles have been made across...in the deeper axial trough. A strong seismic reflector is observed at depths up to...

1970-01-01T23:59:59.000Z

386

Doppler Radar Wind Profiles Iwan Holleman (holleman@knmi.nl)  

E-Print Network [OSTI]

is required before it can be presented to users or assimilated into numerical weather prediction (NWP) models Institute (KNMI), The Netherlands ABSTRACT Doppler weather radars can be employed to determine wind profiles profiles has been performed at KNMI. The verification results indicate that weather radars can provide high

Stoffelen, Ad

387

Domain boundary prediction based on profile domain linker propensity index  

Science Journals Connector (OSTI)

Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of multi-domain proteins but also for the experimental structure determination. In this work, a novel index at the profile ... Keywords: Domain, Domain linker, Profile

Qiwen Dong; Xiaolong Wang; Lei Lin; Zhiming Xu

2006-04-01T23:59:59.000Z

388

Lithium intercalated graphite : experimental Compton profile for stage one  

E-Print Network [OSTI]

L-301 Lithium intercalated graphite : experimental Compton profile for stage one G. Loupias, J différence des profils Compton est compatible avec un transfert total de l'électron de conduction du lithium électronique due à l'insertion. Abstract. 2014 Electron momentum distribution of the first stage lithium

Paris-Sud XI, Université de

389

Analyis of Path Profiling Information Generated with Performance Monitoring Hardware  

E-Print Network [OSTI]

is to exploit hardware Performance Monitoring Units (PMUs) present in modern microprocessors. The Itanium-2 PMU can be correlated into full paths. As sta- tistically hot paths are most likely to occur in PMU sam techniques carry a high overhead, a PMU-based path profiler represents an ef- fective lightweight profiling

Colorado at Boulder, University of

390

ARM - Evaluation Product - Broadband Heating Rate Profile Project (BBHRP)  

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

ProductsBroadband Heating Rate Profile Project ProductsBroadband Heating Rate Profile Project (BBHRP) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Broadband Heating Rate Profile Project (BBHRP) 2000.03.01 - 2006.02.28 Site(s) SGP General Description The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties

391

Method and apparatus for measuring irradiated fuel profiles  

DOE Patents [OSTI]

A new apparatus is used to substantially instantaneously obtain a profile of an object, for example a spent fuel assembly, which profile (when normalized) has unexpectedly been found to be substantially identical to the normalized profile of the burnup monitor Cs-137 obtained with a germanium detector. That profile can be used without normalization in a new method of identifying and monitoring in order to determine for example whether any of the fuel has been removed. Alternatively, two other new methods involve calibrating that profile so as to obtain a determination of fuel burnup (which is important for complying with safeguards requirements, for utilizing fuel to an optimal extent, and for storing spent fuel in a minimal amount of space). Using either of these two methods of determining burnup, one can reduce the required measurement time significantly (by more than an order of magnitude) over existing methods, yet retain equal or only slightly reduced accuracy.

Lee, David M. (Los Alamos, NM)

1982-01-01T23:59:59.000Z

392

Radiological Control  

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

DOE-STD-1098-2008 October 2008 DOE STANDARD RADIOLOGICAL CONTROL U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. ii DOE-STD-1098-2008 This document is available on the Department of Energy Technical Standards Program Website at http://www.standards.doe.gov/ DOE-STD-1098-2008 Radiological Control DOE Policy October 2008 iii Foreword The Department of Energy (DOE) has developed this Standard to assist line managers in meeting their responsibilities for implementing occupational radiological control programs. DOE has established regulatory requirements for occupational radiation protection in Title 10 of the Code of Federal

393

ACCESS CONTROL  

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

TERMS/DEFINITIONS FROM DOE M 470.4-7 TERMS/DEFINITIONS FROM DOE M 470.4-7 ACCESS CONTROL. The process of permitting access or denying access to information, facilities, nuclear materials, resources, or designated security areas. ACCESS CONTROL MEASURES. Hardware and software features, physical controls, operating procedures, administrative procedures, and various combinations of these designed to detect or prevent unauthorized access to classified information; special nuclear materials; Government property; automated information systems, facilities, or materials; or areas containing the above and to enforce use of these measures to protect Departmental security and property interests. CRITICAL PATH SCENARIO. An adversary-based scenario that is generated during the conduct of a vulnerability assessment and accounts for adversary tactics that

394

Profile Plastic Deformation Joining2006.pmd  

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

JOINING ADVANCED MATERIALS BY PLASTIC FLOW JOINING ADVANCED MATERIALS BY PLASTIC FLOW PROVIDES SOLUTION FOR OXYGEN SENSOR APPLICATIONS The Challenge: Industry has sought robust and less expensive sensors to more accurately monitor and control combustion processes. Improved control can be obtained by positioning the sensors closer to the combustion environment in applications such as coal-fired power plants, petrochemical plants, blast furnaces, glass processing equipment, industrial burners, and even in internal combustion engines. Typically, operation in such environments has necessitated an external supply of conditioned air to provide a reference source necessary for the sensor to determine the constituents of the combustion process. This complexity has imposed significant cost and maintenance difficulties on

395

Radiological Control  

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

DOE-STD-1098-2008 October 2008 ------------------------------------- Change Notice 1 May 2009 DOE STANDARD RADIOLOGICAL CONTROL U.S. Department of Energy SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. DOE-STD-1098-2008 ii This document is available on the Department of Energy Technical Standards Program Website at http://www.standards.doe.gov/ iii DOE-STD-1098-2008 Change Notice 1: DOE-STD-1098-2008, Radiological Control Standard Section/page/paragraph Change Section 211, page 2-3, paragraph 1 Add new paragraph 1: "Approval by the appropriate Secretarial Officer or designee should be required

396

Nanoencapsulation Strategies for Antimicrobial Controlled Release to Enhance Fresh and Fresh-Cut Produce Safety  

E-Print Network [OSTI]

, polydispersity index, entrapment efficiency, phase-solubility, and controlled release profile. Following physical and chemical characterization, the oils and their nanocapsules were analyzed for their antimicrobial activity against Salmonella enterica serovar...

Hill, Laura Ellen

2014-05-03T23:59:59.000Z

397

Dynamics and control of a heterogeneous azeotropic distillation column: Conventional control approach  

SciTech Connect (OSTI)

In this work, bifurcation analysis and dynamic simulation were used to investigate the optimum conventional control strategy of an isopropyl alcohol (IPA), cyclohexane (CyH), and water (H{sub 2}O) heterogeneous azeotropic column. Steady-state process analysis shows that the optimal operation point should be located at a critical reflux, a transition point at which the distillation path switches from a route that passes through the IPA + H{sub 2}O azeotrope to one that passes through the IPA + CyH azeotrope. A good control strategy must be able to maintain a steady column temperature profile that shows a plateau near 70 C to ensure passage around the IPA + CyH azeotrope. An inverse double-loop control strategy is proposed based on principal component analysis. This scheme is capable of maintaining the desired column temperature profile given all kinds of feed disturbances, thus keeping the product IPA purity at the desired level.

Chien, I.L. [National Taiwan Univ. of Science and Technology, Taipei (Taiwan, Province of China). Dept. of Chemical Engineering; Wang, C.J.; Wong, D.S.H. [National Tsing Hua Univ., Hsinchu (Taiwan, Province of China). Dept. of Chemical Engineering

1999-02-01T23:59:59.000Z

398

Graphic profile In the event of problems of interpretation or differences between the Swedish and  

E-Print Network [OSTI]

profile? 1.1 Brand strategy 2 Basic concepts 2.1 The graphic profile ­ elements and rules 2.2 Name 2 and image. Our graphic profile and logotype comprise important parts of our communication. Background We. The graphic profile Our graphic profile is based on extensive work on our identity and image and helps us give

Johannesson, Henrik

399

Hanes Brandes Vilanueva Sewing CDV Plant Profile  

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

The HanesBrands Villanueva, Honduras sewing complex (also known as Confecciones del Valle) began operations in 1992 and manufactures bras and other innerwear apparel. Villanueva Sewing achieved the ENERGY STAR Challenge for Industry in 2011, reducing energy usage intensity by 24.1% within 3 years of its 2008 baseline. The Villanueva Sewing complex achieved the ENERGY STAR Challenge for Industry through the implementation of several energy efficiency projects, including the following: Installation of new air conditioning units and automated controls. Review of electrical loading and distribution to optimize transformer use. Completion of major lighting upgrades: o Replacing dated T12 fluorescent fixtures with high-efficiency T8 high-bay

400

Water Energy Load Profiling (WELP) Tool | Open Energy Information  

Open Energy Info (EERE)

Water Energy Load Profiling (WELP) Tool Water Energy Load Profiling (WELP) Tool Jump to: navigation, search Tool Summary Name: Water Energy Load Profiling (WELP) Tool Agency/Company /Organization: California Public Utilities Commission (CPUC) Sector: Energy, Water Focus Area: Energy Efficiency, - Embodied Energy, Water Conservation Phase: Determine Baseline, "Evaluate Effectiveness and Revise" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property. Topics: GHG inventory, Policies/deployment programs, Resource assessment, Background analysis

Note: This page contains sample records for the topic "folder profile control" 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

Physician Cost Profiling — Reliability and Risk of Misclassification  

Science Journals Connector (OSTI)

...and reliability the proportion of variability in a measure that is due to real differences in performance. The use of episode-grouping tools is accepted as a valid means of constructing clinically homogeneous cost groups. With respect to cost profiling, validity indicates whether the method of assigning... Some insurance companies are offering patients incentives to choose lower-cost physicians. This study shows that the current methods used to generate physicians' cost profiles do not have high reliability and that the systems using these cost profiles to identify lower-cost physicians will incorrectly classify many physicians.

Adams J.L.Mehrotra A.Thomas J.W.McGlynn E.A.

2010-03-18T23:59:59.000Z

402

Combustion Control  

E-Print Network [OSTI]

using a liquid fuel. The air and fuel valve designs are vastly different, with different flow characteristics. These factors make the initial adjustment of the system difficult, and proper maintenance of ratio accuracy unlikely. Linked valves... casing of the fuel control regulator with the combustion air piping. The upstream pressure on the burner air orifice is applied to the main diaphragm of the pressure balanced regulator. Assuming sufficient gas pressure at the regulator inlet...

Riccardi, R. C.

1984-01-01T23:59:59.000Z

403

Determination of vertical profiles of aerosol extinction, single scatter  

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

Determination of vertical profiles of aerosol extinction, single scatter Determination of vertical profiles of aerosol extinction, single scatter albedo and asymmetry parameter at Barrow. Sivaraman, Chitra Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Turner, David University of Wisconsin-Madison Category: Aerosols Efforts are currently underway to run and evaluate the Broadband Heating Rate Profile project at the ARM North Slope of Alaska (NSA) Barrow site for the time period March 2004 - February 2005. The Aerosol Best-Estimate (ABE) Value-Added Procedure (VAP) is to provide continuous estimates of vertical profiles of aerosol extinction, single-scatter albedo, and asymmetry parameter above the Northern Slopes of Alaska (NSA) facility. In the interest of temporal continuity, we have developed an algorithm that

404

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business  

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

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business Travel Collect Data to Evaluate Greenhouse Gas Emissions Profile for Business Travel October 7, 2013 - 1:27pm Addthis YOU ARE HERE Step 2 To evaluate a greenhouse gas (GHG) emissions profile, most of the information required to support air travel demand management is currently available through Federal agency-level travel information systems, such as GovTrip. However, that information may not be distributed to programs, regional offices, and sites, which are in the best position to evaluate opportunities to reduce travel. Considerations that may help the agency determine the level at which data should be collected and analyzed include: Where are budgets and policies regarding travel made and modified?

405

Identify Employee Commuting Clusters for Greenhouse Gas Profile |  

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

Identify Employee Commuting Clusters for Greenhouse Gas Profile Identify Employee Commuting Clusters for Greenhouse Gas Profile Identify Employee Commuting Clusters for Greenhouse Gas Profile October 7, 2013 - 1:53pm Addthis YOU ARE HERE: Step 2 For evaluating a greenhouse gas profile for employee commuting, use survey data on employee home location and arrival/departure times to identify geographic areas to target for vanpool and carpool ride-matching efforts. Those who live in close proximity or en route to the workplace and with similar hours may be clustered to determine which locations might represent the best candidates for ride-share matching. As illustrated in Figure 1, areas with higher concentrations of employees that live farther from the worksite might be good candidate locations for targeted carpool and vanpool

406

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting  

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

Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting Survey Employees to Evaluate Greenhouse Gas Emissions Profile for Commuting October 7, 2013 - 1:47pm Addthis YOU ARE HERE Step 2 For evaluating a greenhouse gas (GHG) profile for employee commuting, data on behavior and attitudes are best collected through an agency-wide survey. The default survey methodology in the Federal GHG Accounting Guidance is designed to collect the minimum data for emissions calculations. Additional information may be necessary to determine which trip reduction strategies are best suited for specific employee populations. The optional questions in the advanced survey methodology or data gathered through an agency-defined employee commute survey can provide this understanding.

407

Project Profile: Commercial Development of an Advanced Linear...  

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

Commercial Development of an Advanced Linear-Fresnel-Based CSP Concept Project Profile: Commercial Development of an Advanced Linear-Fresnel-Based CSP Concept SkyFuel logo SkyFuel,...

408

Project Profile: Low-Cost Heliostat Development | Department...  

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

Cost Heliostat Development Project Profile: Low-Cost Heliostat Development HiTek logo HiTek Services, under the Baseload CSP FOA, is conducting fundamental parametric analyses of...

409

Depth profiling ambient noise in the deep ocean  

E-Print Network [OSTI]

al. , 2005). The vertical profile of wind speed over the seavertical directionality…………… Depth-dependence of wind speedVertical noise directional density function versus depth. 93 Measured and acoustically estimated wind speeds.

Barclay, David Readshaw

2011-01-01T23:59:59.000Z

410

What's the Gist? Privacy-Preserving Aggregation of User Profiles  

E-Print Network [OSTI]

) its overhead is appreciably low. 1 Introduction The digital footprint of Internet users is growing consumer profiles [45], and governments might abuse their surveillance power [17, 18] by obtaining datasets

411

Change of energy profiles for muons upon lattice relaxation  

Science Journals Connector (OSTI)

Systematic calculations of potentials for muons and protons in various simple metals have...?SR are discussed. The modification of the energy profiles with lattice relaxation is studied in...

S. Estreicher; P. F. Meier

1984-01-01T23:59:59.000Z

412

Considering the potential of criminal profiling to combat hacking  

Science Journals Connector (OSTI)

This paper outlines the results of a case study focusing upon hacking incidents in Germany. This work aims to ... of a Criminal Profile. Therefore cases of hacking incidents have been studied to find commonalitie...

Jörg Preuß; Steven M. Furnell; Maria Papadaki

2007-06-01T23:59:59.000Z

413

Comparison of instruments for measuring step heights and surface profiles  

Science Journals Connector (OSTI)

Data for step heights and surface profiles obtained using two commercially available instruments are compared. It is shown that step height data obtained with the Dektak IIA are good...

Bennett, Jean M

1985-01-01T23:59:59.000Z

414

Effect of Adhesive Tape on the Velocity Profile of Water  

Science Journals Connector (OSTI)

... fully developed turbulent flow in order to discover the effect on the velocity profile of roughening the channel bed by sticking sand grains of various known dimensions to it by means ...

ALAN E. COSSAR

1970-09-05T23:59:59.000Z

415

Guide to the Use of Researcher Profile Safety Coordinators  

E-Print Network [OSTI]

by the Help Desk. Simply select the Researcher Profiles tab in the green navigation area at the top of the "My-- Use this communication tool as specified by the EHS staff. Checkbox for Safety Training Participant

416

TH.D. STUDENT PROFILES 2006 Entering Class  

E-Print Network [OSTI]

TH.D. STUDENT PROFILES 2006 Entering Class Jeff Conklin-Miller Primary Concentration: Theology ecclesiology, drawing on insights of John Howard Yoder, Rowan Williams, and the Wesleyan tradition. Tommy

Reif, John H.

417

Functional Consequences in Metabolic Pathways from Phylogenetic Profiles  

Science Journals Connector (OSTI)

Phylogenetic profiling is an ingenious computational method for identifying functional linkage between proteins. It is based on the assumption that a set of proteins involved in a common pathway or composing a structural complex tends to evolve in a ...

Yonatan Bilu; Michal Linial

2002-09-01T23:59:59.000Z

418

Project Profile: Low-Cost Solar Thermal Collector | Department...  

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

Solar Thermal Collector Project Profile: Low-Cost Solar Thermal Collector SunTrough Energy logo SunTrough, under the Baseload CSP FOA, is developing a new class of solar...

419

Recovery of SIMS depth profiles with account for nonstationary effects  

Science Journals Connector (OSTI)

Abstract In this work we consider a method of accounting for the nonstationary effects in recovery of SIMS depth profiles. The depth resolution function (DRF) is described by Hofmann's nonstationary MRI (mixing-roughness-information depth) model using the depth-dependent parameters. The effects in question include the nonstationary atomic mixing and development of surface roughness. A mathematical description of the nonstationary depth profiling process by the Fredholm integral equation of the first kind is proposed. The inverse problem is solved using an algorithm based on the Tikhonov regularization method. The proposed nonstationary recovery method is tested on both model and real structures. The development of surface roughness in SIMS depth profiling of the real structure was observed. Grazing incidence x-ray reflectometry (XRR) technique was used to verify the results of SIMS profiles restoration for periodic structure containing thin Ge layers in the Si matrix. The advantages of the proposed recovery algorithm to allow for the nonstationary effects are shown.

Pavel Andreevich Yunin; Yurii Nikolaevich Drozdov; Mikhail Nikolaevich Drozdov; Dmitry Vladimirovich Yurasov

2014-01-01T23:59:59.000Z

420

Molecular Depth Profiling of Sucrose Films: A Comparative Study...  

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

Cs and O Ions. Abstract: Time-of-flight secondary ion mass spectrometry (ToF-SIMS) depth profiling of sucrose thin films were investigated using 10 keV C60+, 20 keV...

Note: This page contains sample records for the topic "folder profile control" 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

Comparison Between Simulated And Experimental Au-ion Profiles...  

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

irradiation. The Au ion profiling was measured by secondary ion mass spectrometry (SIMS) and compared to the Au ion distribution predicted by the Stopping and Range of Ions in...

422

STAMP: statistical analysis of taxonomic and functional profiles  

Science Journals Connector (OSTI)

......package that provides statistical hypothesis tests and exploratory plots for analysing taxonomic and functional profiles. It supports tests for comparing pairs of samples or samples...assessment of the biological relevancy of test results. A user-friendly graphical interface......

Donovan H. Parks; Gene W. Tyson; Philip Hugenholtz; Robert G. Beiko

2014-11-01T23:59:59.000Z

423

Summer temperature profiles within supraglacial debris on Khumbu Glacier, Nepal  

E-Print Network [OSTI]

Summer temperature profiles within supraglacial debris on Khumbu Glacier, Nepal H. CONWAY, and L. A Glacier, Nepal show a strong diurnal signal that diffused downward into the debris with decreasing

Rasmussen, L.A.

424

[NeII] emission line profiles from photoevaporative disc winds  

E-Print Network [OSTI]

I model profiles of the [NeII] forbidden emission line at 12.81um, emitted by photoevaporative winds from discs around young, solar-mass stars. The predicted line luminosities (~ 1E-6 Lsun) are consistent with recent data, and the line profiles vary significantly with disc inclination. Edge-on discs show broad (30-40km/s) double-peaked profiles, due to the rotation of the disc, while in face-on discs the structure of the wind results in a narrower line (~10km/s) and a significant blue-shift (5-10km/s). These results suggest that observations of [NeII] line profiles can provide a direct test of models of protoplanetary disc photoevaporation.

R. D. Alexander

2008-09-01T23:59:59.000Z

425

Theoretical X-ray Line Profiles from Colliding Wind Binaries  

E-Print Network [OSTI]

We present theoretical X-ray line profiles from a range of model colliding wind systems. In particular, we investigate the effects of varying the stellar mass-loss rates, the wind speeds, and the viewing orientation. We find that a wide range of theoretical line profile shapes is possible, varying with orbital inclination and phase. At or near conjunction, the lines have approximately Gaussian profiles, with small widths (HWHM ~ 0.1 v_infty) and definite blue- or redshifts (depending on whether the star with the weaker wind is in front or behind). When the system is viewed at quadrature, the lines are generally much broader (HWHM ~ v_infty), flat-topped and unshifted. Local absorption can have a major effect on the observed profiles - in systems with mass-loss rates of a few times 10^{-6} Msol/yr the lower energy lines (E wind of the primary. The orbital variation ...

Henley, D B; Pittard, J M

2003-01-01T23:59:59.000Z

426

Compton Profile Study of Intermetallic Ti{sub 3}Al  

SciTech Connect (OSTI)

The Compton scattering measurement on intermetallic alloy Ti{sub 3}Al is reported in this work. The measurement is made using 59.54 keV gamma-rays from Am{sup 241} source. Theoretical calculation of Compton profile is also performed employing CRYSTAL code within the framework of density functional theory to compare with the measurement. The theoretical profile of the alloy is also synthesized following the superposition model taking the published Compton profiles of elemental solids from the APW method. The experimental study of charge transfer in the alloys has also been done by performing the experimental Compton profile measurements on Ti and Al following the superposition model and charge transfer from Al to Ti is clearly seen on the alloy formation.

Vyas, V.; Sharma, G. [Department of Physics, Banasthali University, Banasthali-304022 (India); Mishra, M. C.; Sharma, B. K. [Department of Physics, University of Rajasthan, Jaipur-302004 (India); Joshi, K. B. [Department of Physics, University College of Science, M.L.Sukhadia University, Udaipur-313 002 (India)

2011-10-20T23:59:59.000Z

427

Lithologic Descriptions and Temperature Profiles of Five Wells...  

Open Energy Info (EERE)

and Temperature Profiles of Five Wells in the Southwestern Valles Caldera Region, New Mexico Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Lithologic...

428

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in  

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

Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings Evaluate Greenhouse Gas Emissions Profile Using Renewable Energy in Buildings October 7, 2013 - 11:16am Addthis After assessing the potential for agency size changes, a Federal agency should evaluate its greenhouse gas (GHG) emissions profile using renewable energy in buildings. When using renewable energy in buildings, the approach for evaluating GHG emissions involves evaluating the renewable energy resource potential and determining what type of renewable energy technology to use in a building. To help determine renewable energy resource potential at a site, see FEMP's information on Renewable Energy Resource Maps and Screening Tools. Also see Renewable Energy Project Planning and Implementation.

429

Evaluate Greenhouse Gas Emissions Profile | Department of Energy  

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

Emissions Profile Emissions Profile Evaluate Greenhouse Gas Emissions Profile October 7, 2013 - 10:14am Addthis Evaluating a Federal agency's greenhouse gas (GHG) emissions profile means getting a solid understanding of the organization's largest emission categories, largest emission sources, and its potential for improvement: Buildings Vehicles and mobile equipment Business travel Employee commuting. While the data required for annual GHG reporting are sufficient to establish an agency's overall emission inventory, these data are not typically enough information for effectively managing emissions. A detailed, bottom-up assessment can provide the foundation for much more robust Strategic Sustainability Performance Plans. Because detailed analyses of all assets can be time-intensive, strategic planning helps the

430

High speed switching between arbitrary spatial light profiles  

Science Journals Connector (OSTI)

Complex images, inscribed into the spatial profile of a laser beam or even a single photon, offer a highly efficient method of data encoding. Here we present a prototype system which...

Radwell, N; Brickus, D; Clark, T W; Franke-Arnold, S

2014-01-01T23:59:59.000Z

431

Full tokamak discharge simulation and kinetic plasma profile control for ITER.  

E-Print Network [OSTI]

??Understanding non-linearly coupled physics between plasma transport and free-boundary equilibrium evolution is essential to operating future tokamak devices, such as ITER and DEMO, in the… (more)

Kim, Sun Hee

2009-01-01T23:59:59.000Z

432

Control and Verification of the Safety-Factor Profile in Tokamaks Using  

E-Print Network [OSTI]

has been responsible for quenching the ever increasing energy demands of the world. However, since tokamak. 1. INTRODUCTION Fossil fuel energy or cheap energy, as known in the common vernacular, until now fossil fuel reserves are limited, we would inevitably reach a maximum extraction rate of petroleum also

Peet, Matthew M.

433

Microsoft Word - Managing Your iSupplier Profile Job Aid R12 05092012.docx  

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

of Contents of Contents Summary of Your iSupplier Profile...........................................................................................................................2 Accessing Your Account for the First Time.............................................................................................................2 Navigating to Your Profile.........................................................................................................................................3 Company Information (a.k.a. Profile Management)............................................................................................4 Organization...............................................................................................................................................................5

434

Turbulent Patch Identification in Microstructure Profiles: A Method Based on Wavelet Denoising and Thorpe Displacement Analysis  

Science Journals Connector (OSTI)

A new method based on wavelet denoising and the analysis of Thorpe displacements dT profiles is presented for turbulent patch identification. Thorpe profiles are computed by comparing the observed density profile ?(z) and the monotonic density ...

Jaume Piera; Elena Roget; Jordi Catalan

2002-09-01T23:59:59.000Z

435

Rockwell Automation - Owens Corning Teaming Profile  

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

Rockwell Automation Owens Corning Rockwell Automation Owens Corning 1201 S. Second Street 247 York Road Milwaukee, WI 53204 Guelph, Ontario N1E 3G4 Business: Industrial Automation Business: Textile / Fiber Nigel Hitchings Frank Peel Marketing Manager Electrical Support Specialist Phone: 508-357-8404 Phone: 519-823-7208 Email: nehitchings@ra.rockwell.com Email: frank.peel@owenscorning.com Owens Corning partners with Rockwell Automation to retrofit fans with VFDs, saving $67,000 annually Project Scope Owens Corning and Rockwell Automation installed Variable Frequency Drives (VFDs) on one 125HP cooling fan and three 40HP recirculation fans at the Owens Corning Guelph Glass Plant. The VFDs were integrated with the existing Rockwell Automation programmable automation controller to collect

436

Profiled spectral lines generated in the field of Kerr superspinars  

SciTech Connect (OSTI)

String Theory suggests existence of primordial Kerr superspinars, extremely compact objects with external spacetime described by the Kerr naked singularity geometry. The primordial Kerr superspinars have to be converted to a near-extreme black hole due to accretion, but they could survive to the era of highly redshifted quasars. We study the shape of the profiled spectral lines generated by radiating rings or the innermost parts of Keplerian discs orbiting the Kerr superspinars. Influence of the superspinar surface location on the profiled lines is also considered. We demonstrate strong difference of the character of the profiled lines generated by radiating rings for all values of the superspinar spin and all values of the inclination angles of the observer when compared to those generated in the field of Kerr black holes. For small and mediate inclination angles there are large quantitative differences in the extension and position of the lines. For large inclination angles even strong qualitative difference appears as the profiled lines have a clear doubled character. The smaller, redshifted region of the profiled line is related to the photons reaching the regions near the superspinar surface. Strong differences are obtained also for profiled lines generated by the innermost parts of Keplerian discs especially in the shape of the line. The influence of the superspinar surface location is reflected in the intermediate parts of the the profiled lines. The line profiles can give a clear signature of the presence of a Kerr superspinar and in principle enable estimates of its surface location since the signatures of the superspinar surface location are of different character as those corresponding to the presence of the black hole horizon.

Schee, Jan; Stuchlík, Zdenek, E-mail: jan.schee@fpf.slu.cz, E-mail: zdenek.stuchlik@fpf.slu.cz [Institute of Physics, Faculty of Philosophy and Science, Silesian University in Opava, Bezru?ovo nám. 13, Opava (Czech Republic)

2013-04-01T23:59:59.000Z

437

ANALYTICAL CALCULATION OF STOKES PROFILES OF ROTATING STELLAR MAGNETIC DIPOLE  

SciTech Connect (OSTI)

The observation of the polarization emerging from a rotating star at different phases opens up the possibility to map the magnetic field in the stellar surface thanks to the well-known Zeeman-Doppler imaging. When the magnetic field is sufficiently weak, the circular and linear polarization profiles locally in each point of the star are proportional to the first and second derivatives of the unperturbed intensity profile, respectively. We show that the weak-field approximation (for weak lines in the case of linear polarization) can be generalized to the case of a rotating star including the Doppler effect and taking into account the integration on the stellar surface. The Stokes profiles are written as a linear combination of wavelength-dependent terms expressed as series expansions in terms of Hermite polynomials. These terms contain the surface-integrated magnetic field and velocity components. The direct numerical evaluation of these quantities is limited to rotation velocities not larger than eight times the Doppler width of the local absorption profiles. Additionally, we demonstrate that in a rotating star, the circular polarization flux depends on the derivative of the intensity flux with respect to the wavelength and also on the profile itself. Likewise, the linear polarization depends on the profile and on its first and second derivatives with respect to the wavelength. We particularize the general expressions to a rotating dipole.

Martinez Gonzalez, M. J. [Instituto de Astrofisica de Canarias, Via Lactea s/n, 38200 La Laguna, Tenerife (Spain); Asensio Ramos, A. [Departamento de Astrofisica, Universidad de La Laguna, E-38205 La Laguna, Tenerife (Spain)

2012-08-20T23:59:59.000Z

438

Models of Forbidden Line Emission Profiles from Axisymmetric Stellar Winds  

E-Print Network [OSTI]

A number of strong infrared forbidden lines have been observed in several evolved Wolf-Rayet star winds, and these are important for deriving metal abundances and testing stellar evolution models. In addition, because these optically thin lines form at large radius in the wind, their resolved profiles carry an imprint of the asymptotic structure of the wind flow. This work presents model forbidden line profile shapes formed in axisymmetric winds. It is well-known that an optically thin emission line formed in a spherical wind expanding at constant velocity yields a flat-topped emission profile shape. Simulated forbidden lines are produced for a model stellar wind with an axisymmetric density distribution that treats the latitudinal ionization self-consistently and examines the influence of the ion stage on the profile shape. The resulting line profiles are symmetric about line centre. Within a given atomic species, profile shapes can vary between centrally peaked, doubly peaked, and approximately flat-topped in appearance depending on the ion stage (relative to the dominant ion) and viewing inclination. Although application to Wolf-Rayet star winds is emphasized, the concepts are also relevant to other classes of hot stars such as luminous blue variables and Be/B[e] stars.

Richard Ignace; Adam Brimeyer

2006-05-10T23:59:59.000Z

439

Pyrethroid Activity-Based Probes for Profiling Cytochrome P450 Activities Associated with Insecticide Interactions  

SciTech Connect (OSTI)

Pyrethroid insecticides are used to control a diverse spectrum of diseases spread by arthropods. We have developed a suite of pyrethroid mimetic activity based probes (PyABPs) to selectively label and identify P450s associated with pyrethroid metabolism. The probes were screened against pyrethroid metabolizing and non-metabolizing mosquito P450s, as well as rodent microsomes to measure labeling specificity, plus CPR and b5 knockout mouse livers to validate P450 activation and establish the role for b5 in probe activation. Using a deltamethrin mimetic PyABP we were able to profile active enzymes in rat liver microsomes and identify pyrethroid metabolizing enzymes in the target tissue. The most reactive enzyme was a P450, CYP2C11, which is known to metabolize deltamethrin. Furthermore, several other pyrethroid metabolizers were identified (CYPs 2C6, 3A4, 2C13 and 2D1) along with related detoxification enzymes, notably UDP-g’s 2B1 - 5, suggesting a network of associated pyrethroid metabolizing enzymes, or ‘pyrethrome’. Considering the central role that P450s play in metabolizing insecticides, we anticipate that PyABPs will aid the identification and profiling of P450s associated with insecticide pharmacology in a wide range of species, improving understanding of P450-insecticide interactions and aiding the development of new tools for disease control.

Ismail, Hanafy M.; O'Neill, Paul M.; Hong, David; Finn, Robert; Henderson, Colin; Wright, Aaron T.; Cravatt, Benjamin; Hemingway, Janet; Paine, Mark J.

2014-01-18T23:59:59.000Z

440

Chapter 8: Plasma operation and control  

Science Journals Connector (OSTI)

The ITER plasma control system has the same functional scope as the control systems in present tokamaks. These are plasma operation scenario sequencing, plasma basic control (magnetic and kinetic), plasma advanced control (control of RWMs, NTMs, ELMs, error fields, etc) and plasma fast shutdown. This chapter considers only plasma initiation and plasma basic control. This chapter describes the progress achieved in these areas in the tokamak experiments since the ITER Physics Basis (1999 Nucl. Fusion 39 2577) was written and the results of assessment of ITER to provide the plasma initiation and basic control. This assessment was done for the present ITER design (15?MA machine) at a more detailed level than it was done for the ITER design 1998 (21?MA machine) described in the ITER Physics Basis (1999 Nucl. Fusion 39 2577). The experiments on plasma initiation performed in DIII-D and JT-60U, as well as the theoretical studies performed for ITER, have demonstrated that, within specified assumptions on the plasma confinement and the impurity influx, ITER can produce plasma initiation in a low toroidal electric field (0.3?V?m?1), if it is assisted by about 2?MW of ECRF heating. The plasma basic control includes control of the plasma current, position and shape—the plasma magnetic control, as well as control of other plasma global parameters or their profiles—the plasma performance control. The magnetic control is based on more reliable and simpler models of the control objects than those available at present for the plasma kinetic control. Moreover the real time diagnostics used for the magnetic control in many cases are more precise than those used for the kinetic control. Because of these reasons, the plasma magnetic control was developed for modern tokamaks and assessed for ITER better than the kinetic control. However, significant progress has been achieved in the plasma performance control during the last few years. Although the physics basis of plasma operation and control is similar in ITER and present tokamaks, there is a principal qualitative difference. To minimize its cost, ITER has been designed with small margins in many plasma and engineering parameters. These small margins result in a significantly narrower operational space compared with present tokamaks. Furthermore, ITER operation is expensive and component damage resulting from purely operational errors might lead to a high and avoidable repair cost. These factors make it judicious to use validated plasma diagnostics and employ simulators to 'pre-test' the combined ITER operation and control systems. Understanding of how to do this type of pre-test validation is now developed in present day experiments. This research push should provide us with fully functional simulators before the first ITER operation.

Y. Gribov; D. Humphreys; K. Kajiwara; E.A. Lazarus; J.B. Lister; T. Ozeki; A. Portone; M. Shimada; A.C.C. Sips; J.C. Wesley

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "folder profile control" 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

Profile of teen mothers in a Salt Lake County school district;.  

E-Print Network [OSTI]

??The purpose of this descriptive study was to profile young women currently enrolled in a Salt Lake Count school district Young Parent Program. This profile… (more)

Wanlass, Bonnie J.

1999-01-01T23:59:59.000Z

442

Heliostat control  

SciTech Connect (OSTI)

An improvement in a system and method of controlling heliostat in which the heliostat is operable in azimuth and elevation by respective stepper motors and including the respective steps or means for calculating the position for the heliostat to be at a commanded position, determining the number of steps in azimuth and elevation for each respective motor to get to the commanded position and energizing both the azimuth and elevation stepper motors to run in parallel until predetermined number of steps away from the closest commanded position in azimuth and elevation so that the closest position has been achieved, and thereafter energizing only the remaining motor to bring it to its commanded position. In this way, the heliostat can be started from a stowed position in the morning and operated by a computer means to its commanded position and kept correctly oriented throughout the day using only the time of the day without requiring the usual sensors and feedback apparatus. A computer, or microprocessor, can then control a plurality of many heliostats easily and efficiently throughout the day.

Kaehler, James A. (Littleton, CO)

1984-01-01T23:59:59.000Z

443

Heliostat control  

SciTech Connect (OSTI)

An improvement in a system and method of controlling heliostat in which the heliostat is operable in azimuth and elevation by respective stepper motors and including the respective steps or means for calculating the position for the heliostat to be at a commanded position, determining the number of steps in azimuth and elevation for each respective motor to get to the commanded position and energizing both the azimuth and elevation stepper motors to run in parallel until predetermined number of steps away from the closest commanded position in azimuth and elevation so that the closest position has been achieved, and thereafter energizing only the remaining motor to bring it to its commanded position. In this way, the heliostat can be started from a stowed position in the morning and operated by a computer means to its commanded position and kept correctly oriented throughout the day using only the time of the day without requiring the usual sensors and feedback apparatus. A computer, or microprocessor, can then control a plurality of many heliostats easily and efficiently throughout the day.

Kaehler, J.A.

1984-04-03T23:59:59.000Z

444

Human Remains and the Construction of Race and History, 1897-1945  

E-Print Network [OSTI]

22. Folder 8: Expositions: Panama California Exposition San22. Folder 9: Exposition: Panama-California Exposition 1914-22. Folder 9: Exposition: Panama-California Exposition 1914-

Redman, Samuel James

2012-01-01T23:59:59.000Z

445

INSTITUTE OF PHYSICS PUBLISHING PLASMA PHYSICS AND CONTROLLED FUSION Plasma Phys. Control. Fusion 49 (2007) 4367 doi:10.1088/0741-3335/49/1/004  

E-Print Network [OSTI]

INSTITUTE OF PHYSICS PUBLISHING PLASMA PHYSICS AND CONTROLLED FUSION Plasma Phys. Control. Fusion profile to access regimes with an improved confinement and detecting instabilities for plasma diagnostics plasmas A Jaun1,4 , E R Tracy2 and A N Kaufman3 1 NADA, Royal Institute of Technology, 100 44 Stockholm

Jaun, André

446

Investigating the Correspondence Between Transcriptomic and Proteomic Expression Profiles Using Coupled Cluster Models.  

SciTech Connect (OSTI)

Modern transcriptomics and proteomics enable us to survey the expression of RNAs and proteins at large scales. While these data are usually generated and analysed separately, there is an increasing interest in comparing and co-analysing transcriptome and proteome expression data. A major open question is whether transcriptome and proteome expression is linked and how it is coordinated. Results: Here we have developed a probabilistic clustering model that permits analysis of the links between transcriptomic and proteomic profiles in a sensible and flexible manner. Our coupled mixture model defines a prior probability distribution over the component to which a protein profile should be assigned conditioned on which component the associated mRNA profile belongs to. By providing probabilistic assignments this approach sits between the two extremes of concatenating the data on the assumption that mRNA and protein clusters would have a one-to-one relationship, and independent clustering where the mRNA profile provides no information on the protein profile and vice-versa. We apply this approach to a large dataset of quantitative transcriptomic and proteomic expression data obtained from a human breast epithelial cell line (HMEC) stimulated by epidermal growth factor (EGF) over a series of timepoints corresponding to one cell cycle. The results reveal a complex relationship between transcriptome and proteome with most mRNA clusters linked to at least two protein clusters, and vice versa. A more detailed analysis incorporating information on gene function from the gene ontology database shows that a high correlation of mRNA and protein expression is limited to the components of some molecular machines, such as the ribosome, cell adhesion complexes and the TCP-1 chaperonin involved in protein folding. Conclusions: The dynamic regulation of the transcriptome and proteome in mammalian cells in response to an acute mitogenic stimulus appears largely independent with very little correspondence between mRNA and protein expression. The exceptions involve a few selected multi-protein complexes that require the stoichiometric expression of components for correct function. This finding has wide ramifications regarding the understanding of gene and protein expression including its control and evolution. It also shows that transcriptomic and proteomic expression analysis are complementary and non-redundant.

Rogers, Simon; Girolami, Mark; Kolch, Walter; Waters, Katrina M.; Liu, Tao; Thrall, Brian D.; Wiley, H. S.

2008-12-01T23:59:59.000Z

447

Well control simulation with the Macintosh II computer  

E-Print Network [OSTI]

equipment parameters are defined. When the simulation process is initiated, a series of windows representing the driller's control panel, the choke panel, and the wellbore in cross-sectional profile may be viewed. The simulation process is controlled...: EXPERIMENTS WITH BUBBLE MIGRATION VELOCITY VITA 157 174 182 LIST OF TABLES Table 1 Default Well Configuration 2 Kick Pressures from a Simulated Gas Kick 3 Kick Fluid Properties for a Simulated Oil Kick B-1 Gas Kick Fluid Properties B-2 Oil Kick...

Wallis, Gregory Tad

1991-01-01T23:59:59.000Z

448

Theoretical X-ray Line Profiles from Colliding Wind Binaries  

E-Print Network [OSTI]

We present theoretical X-ray line profiles from a range of model colliding wind systems. In particular, we investigate the effects of varying the stellar mass-loss rates, the wind speeds, and the viewing orientation. We find that a wide range of theoretical line profile shapes is possible, varying with orbital inclination and phase. At or near conjunction, the lines have approximately Gaussian profiles, with small widths (HWHM ~ 0.1 v_\\infty) and definite blue- or redshifts (depending on whether the star with the weaker wind is in front or behind). When the system is viewed at quadrature, the lines are generally much broader (HWHM ~ v_\\infty), flat-topped and unshifted. Local absorption can have a major effect on the observed profiles - in systems with mass-loss rates of a few times 10^{-6} Msol/yr the lower energy lines (E wind of the primary. The orbital variation of the line widths and shifts is reduced in a low inclination binary. The extreme case is a binary with i = 0 degrees, for which we would expect no line profile variation.

D. B. Henley; I. R. Stevens; J. M. Pittard

2003-06-23T23:59:59.000Z

449

Testing gravity with halo density profiles observed through gravitational lensing  

SciTech Connect (OSTI)

We present a new test of the modified gravity endowed with the Vainshtein mechanism with the density profile of a galaxy cluster halo observed through gravitational lensing. A scalar degree of freedom in the galileon modified gravity is screened by the Vainshtein mechanism to recover Newtonian gravity in high-density regions, however it might not be completely hidden on the outer side of a cluster of galaxies. Then the modified gravity might yield an observational signature in a surface mass density of a cluster of galaxies measured through gravitational lensing, since the scalar field could contribute to the lensing potential. We investigate how the transition in the Vainshtein mechanism affects the surface mass density observed through gravitational lensing, assuming that the density profile of a cluster of galaxies follows the original Navarro-Frenk-White (NFW) profile, the generalized NFW profile and the Einasto profile. We compare the theoretical predictions with observational results of the surface mass density reported recently by other researchers. We obtain constraints on the amplitude and the typical scale of the transition in the Vainshtein mechanism in a subclass of the generalized galileon model.

Narikawa, Tatsuya; Yamamoto, Kazuhiro, E-mail: narikawa@theo.phys.sci.hiroshima-u.ac.jp, E-mail: kazuhiro@hiroshima-u.ac.jp [Department of Physical Science, Hiroshima University, Higashi-Hiroshima 739-8526 (Japan)

2012-05-01T23:59:59.000Z

450

Lighting Group: Controls: Advanced Digital Controls  

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

Advanced Digital Controls Advanced Digital Controls HPCBS Advanced Digital Controls Objective The goal of this project is to hasten the adoption of digital lighting control systems to allow commercial building operators to optimize the neergy performance of their lighting systems, implement demand responsive control, and improve occupant comfort and productivity. The specific objectives are as follows: (1) Advance the adoption of digital lighting control systems by working with industry to embed IBECS technology into existing analog control and DALI products, and by developing compelling demonstrations of digital control systems for evaluation by early adopters. (2) In collaboration with equipment manufacturers, produce digital lighting system prototypes that demonstrate the advantages of digitally controlled lighting systems to innovative property managers and other energy stakeholders. A digitally controlled lighting system consists of lights that are individually controllable via a network. The advantages of digital control are:

451

A Systems Genetics Approach to Evaluate Serum Cytokine Expression Profiles  

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

Evaluate Serum Cytokine Expression Profiles Evaluate Serum Cytokine Expression Profiles in 10 cGy-Irradiated Mice: Possible Connection to Susceptibility/Resistance to Cancer E.A. Blakely Lawrence Berkeley National Laboratory Abstract Goal: To use a systems-genetics approach to evaluate serum cytokine expression profiles in 10 cGy-whole-body-irradiated mice (BALB/c and Spret/EiJ parental strains, and their F1 offspring backcrossed (F1Bx) to female BALB/c). Background and Significance: Even low doses of ionizing radiation (∼10 cGy) can alter the composition of the tissue microenvironment by rapidly affecting cytokine production and activities, extracellular matrix (ECM) composition, and the expression of receptors that mediate cell-to-cell interactions (1). The stroma in mammary glands is constantly changing

452

Building Energy Software Tools Directory: Prophet Load Profiler  

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

Prophet Load Profiler Prophet Load Profiler Prophet Load Profiler logo. Internet-enabled software that empowers business energy customers to manage energy and reduce costs. Valuable to facility managers, energy managers and energy service companies, the Prophet web-based service delivers real-time and near-real-time energy information on energy consumption and demand for any size facility. A number of facilities can be managed using consumption data gathered in 15 minute, 30 minute, 60 minute, daily, weekly and monthly intervals. Users can immediately view and analyze data with an eye toward load shedding, cost avoidance strategies, energy budget management, utility cost validation and energy forecasting. All tools are contained within the Prophet Web application and enabled via the internet using a standard web

453

Recovery Act Funds at Work: Smart Grid Investment Grant Profiles |  

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

Funds at Work: Smart Grid Investment Grant Profiles Funds at Work: Smart Grid Investment Grant Profiles Recovery Act Funds at Work: Smart Grid Investment Grant Profiles DOE is working with regional and local utilities and co-ops across the nation to improve the reliability of the grid and helping communities recover faster when disruptions occur. Case studies are available from several grant recipients describing how Smart Grid Investment Grants are making an impact. Additional information is available on SmartGrid.gov, including impact metrics, tracking data, and specifics on all projects. Case Study - Oklahoma Gas and Electric - Using Time-Based Rate Program to Reduce Peak Demand - April 2013 Case Study - Idaho Power Company - Smart Grid Savings and Grid Integration of Renewables - April 2013 Case Study - Powder River Energy Corp - Providing Grid Flexibility in WY

454

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Buildings |  

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

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Collect Data to Evaluate Greenhouse Gas Emissions Profile for Buildings Collect Data to Evaluate Greenhouse Gas Emissions Profile for Buildings October 7, 2013 - 10:45am Addthis YOU ARE HERE Step 2 Strategic planning for greenhouse gas (GHG) mitigation in buildings requires an understanding of a Federal agency's buildings portfolio, including which programs, building types, and sites contribute the most to the agency's emissions. The data described in Table 1 below will support this type of analysis. It is recommended that this information be collected at the agency and program level. Programs refer to major operating units within the agency where there is a significant degree of autonomy in planning and decision-making. In many cases, the type of data required for portfolio planning may already

455

EcoCAR Challenge Profile: Virginia Tech | Department of Energy  

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

Challenge Profile: Virginia Tech Challenge Profile: Virginia Tech EcoCAR Challenge Profile: Virginia Tech Addthis Description Since childhood, Lynn Gantt has had a deep seeded passion for cars and the mechanics that drive them. The Virginia native spent his weekends rebuilding antique tractors with his dad to race at tractor pulls across the state, and now the Virginia Tech graduate student is the proud team co-leader of Virginia Tech's EcoCAR Challenge team -- the winners of the three-year long competition, as announced last night at an awards ceremony in Washington, D.C.. Speakers Lynn Gantt Duration 1:43 Topic Alternative Fuel Vehicles Fuel Economy Batteries Consumption Credit Energy Department Video LYNN GANTT: My name is Lynn Gantt and I'm the team leader for the Virginia Tech EcoCAR team.

456

Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed  

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

Favorable Supplies, Costs, Environmental Profile for Natural Gas Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed in New Department of Energy Study Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed in New Department of Energy Study August 23, 2012 - 1:00pm Addthis Washington, DC - The nation's large resource base of natural gas can be used for cost-effective power generation, with environmental burdens coming primarily from fuel combustion, not resource extraction, according to a new Department of Energy (DOE) study. The report, Role of Alternative Energy Sources: Natural Gas Power Technology Assessment, was prepared by the Office of Fossil Energy's National Energy Technology Laboratory (NETL). Analysts focused on seven criteria to evaluate the role of natural gas in the U.S. energy supply

457

Edge profile measurements using Thomson scattering on the KSTAR tokamak  

SciTech Connect (OSTI)

In the KSTAR Tokamak, a “Tangential Thomson Scattering” (TTS) diagnostic system has been designed and installed to measure electron density and temperature profiles. In the edge system, TTS has 12 optical fiber bundles to measure the edge profiles with 10–15 mm spatial resolution. These 12 optical fibers and their spatial resolution are not enough to measure the pedestal width with a high accuracy but allow observations of L-H transition or H-L transitions at the edge. For these measurements, the prototype ITER edge Thomson Nd:YAG laser system manufactured by JAEA in Japan is installed. In this paper, the KSTAR TTS system is briefly described and some TTS edge profiles are presented and compared against the KSTAR Charge Exchange Spectroscopy and other diagnostics. The future upgrade plan of the system is also discussed in this paper.

Lee, J. H., E-mail: jhleel@nfri.re.kr; Ko, W. H. [National Fusion Research Institute, Daejeon (Korea, Republic of); Department of Nuclear Fusion and Plasma Science, University of Science and Technology (UST), Daejeon (Korea, Republic of); Oh, S.; Lee, W. R.; Kim, K. P.; Lee, K. D.; Jeon, Y. M.; Yoon, S. W.; Cho, K. W. [National Fusion Research Institute, Daejeon (Korea, Republic of); Narihara, K.; Yamada, I.; Yasuhara, R. [National Institute for Fusion Science, Nagoya (Japan); Hatae, T.; Yatsuka, E.; Ono, T. [Japan Atomic Energy Agency, Naka (Japan); Hong, J. H. [Department of Physics, KAIST (Korea, Republic of)

2014-11-15T23:59:59.000Z

458

Combining data mining and machine learning for effective user profiling  

SciTech Connect (OSTI)

This paper describes the automatic design of methods for detecting fraudulent behavior. Much of the design is accomplished using a series of machine learning methods. In particular, we combine data mining and constructive induction with more standard machine learning techniques to design methods for detecting fraudulent usage of cellular telephones based on profiling customer behavior. Specifically, we use a rule-learning program to uncover indicators of fraudulent behavior from a large database of cellular calls. These indicators are used to create profilers, which then serve as features to a system that combines evidence from multiple profilers to generate high-confidence alarms. Experiments indicate that this automatic approach performs nearly as well as the best hand-tuned methods for detecting fraud.

Fawcett, T.; Provost, F. [NYNEX Science and Technology, White Plains, NY (United States)

1996-12-31T23:59:59.000Z

459

915-MHz Radar Wind Profiler (915RWP) Handbook  

SciTech Connect (OSTI)

The 915 MHz radar wind profiler/radio acoustic sounding system (RWP/RASS) measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. It operates by transmitting electromagnetic energy into the atmosphere and measuring the strength and frequency of backscattered energy. Virtual temperatures are recovered by transmitting an acoustic signal vertically and measuring the electromagnetic energy scattered from the acoustic wavefront. Because the propagation speed of the acoustic wave is proportional to the square root of the virtual temperature of the air, the virtual temperature can be recovered by measuring the Doppler shift of the scattered electromagnetic wave.

Coulter, R

2005-01-01T23:59:59.000Z

460

Compton profile study of polycrystalline ZnBr{sub 2}  

SciTech Connect (OSTI)

The first ever Compton profile study of polycrystalline ZnBr{sub 2} is presented in this paper. The measurement of polycrystalline sample of ZnBr{sub 2} is performed using 59.54 keV gamma-rays emanating from an {sup 241}Am radioisotope. Theoretical calculations are performed following the Ionic model calculations for a number of configurations Zn{sup +x}Br{sub 2}{sup -x/2}(0.0{<=}x{<=}2.0 in step of 0.5) utilizing free atom profiles. The ionic model suggest transfer of 2.0 electrons from 4 s state of Zn to 4 p state of two Br atoms. The autocorrelation function B(z) is also derived from experiment and the most favoured ionic valence Compton profiles.

Dhaka, M. S. [Department of Physics, Engineering College Bikaner, Bikaner, 334004, Rajasthan (India); Sharma, G. [Department of Physics, Bansthali University, Bansthali, 304022, Rajasthan (India); Mishra, M. C.; Kothari, R. K.; Sharma, B. K. [Department of Physics, University of Rajasthan, Jaipur, 302004, Rajasthan (India)

2010-12-01T23:59:59.000Z

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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

Establish Employee Commuting Behavior Baseline for Greenhouse Gas Profile |  

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

Establish Employee Commuting Behavior Baseline for Greenhouse Gas Establish Employee Commuting Behavior Baseline for Greenhouse Gas Profile Establish Employee Commuting Behavior Baseline for Greenhouse Gas Profile October 7, 2013 - 1:49pm Addthis YOU ARE HERE Step 2 For evaluating a greenhouse gas (GHG) profile, once employee commuting survey data are collected and priority worksites have been identified, the survey responses should be analyzed for each major worksite to establish a behavior baseline. Depending on the agency's size and where it places accountability for GHG commuting emissions reduction goals, it may be to most appropriate to have individual programs or operating units assess their own employee commute data. Exceptions should be made when programs share facilities. For example, at a headquarters office building, a single program may take

462

Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed  

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

Favorable Supplies, Costs, Environmental Profile for Natural Gas Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed in New Department of Energy Study Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed in New Department of Energy Study August 23, 2012 - 1:00pm Addthis Washington, DC - The nation's large resource base of natural gas can be used for cost-effective power generation, with environmental burdens coming primarily from fuel combustion, not resource extraction, according to a new Department of Energy (DOE) study. The report, Role of Alternative Energy Sources: Natural Gas Power Technology Assessment, was prepared by the Office of Fossil Energy's National Energy Technology Laboratory (NETL). Analysts focused on seven criteria to evaluate the role of natural gas in the U.S. energy supply

463

Optically-initiated silicon carbide high voltage switch with contoured-profile electrode interfaces  

DOE Patents [OSTI]

An improved photoconductive switch having a SiC or other wide band gap substrate material with opposing contoured profile cavities which have a contoured profile selected from one of Rogowski, Bruce, Chang, Harrison, and Ernst profiles, and two electrodes with matching contoured-profile convex interface surfaces.

Sullivan, James S.; Hawkins, Steven A.

2012-09-04T23:59:59.000Z

464

Controlled Synthesis  

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

lUU lUU iIII---11111 q o m Controlled Synthesis of Polyenes by Catalytic Methods Progress Report for the period 12/01/92 - 11/30/93 Richard R. Schrock Five papers have appeared in the last year (see list at end), numbers 225,229, 233, 236, and 240. The living cyclopolymerization of dipropargyl derivatives has been reported for diethyl dipropargylmalonate (X = C(CO2Et)2; Scheme I; #225). We have found that c_ addition and [3 addition take place approximately to an equivalent degree, on the basis of the 13C NMR chemical shift for the quaternary carbon atom in the five or si×-membered ring, and in the presence of ethylene have isolated a molecule that contains a si×-membered ring that is formed when ethylene cleaves the cyclized species from the metal in a chain transfer-like reaction. On this basis also we can say that the polymer prepared from this monomer using classical catalysts contain

465

Thermal Control & System Integration  

Broader source: Energy.gov [DOE]

The thermal control and system integration activity focuses on issues such as the integration of motor and power control technologies and the development of advanced thermal control technologies....

466

Armstrong International & Pfizer Teaming Profile | ENERGY STAR Buildings &  

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

Pfizer Teaming Profile Pfizer Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

467

Armstrong International & Pepsi Americas Teaming Profile | ENERGY STAR  

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

Pepsi Americas Teaming Profile Pepsi Americas Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

468

Rockwell Automation & General Mills Teaming Profile | ENERGY STAR Buildings  

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

Rockwell Automation & General Mills Teaming Profile Rockwell Automation & General Mills Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

469

Accurate Air Engineering, Inc. and Kraft Foods Teaming Profile | ENERGY  

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

Accurate Air Engineering, Inc. and Kraft Foods Teaming Profile Accurate Air Engineering, Inc. and Kraft Foods Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

470

Status of the Broadband Heating Rate Profile (BBHRP) VAP  

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

Status of the Broadband Heating Rate Profile (BBHRP) VAP Status of the Broadband Heating Rate Profile (BBHRP) VAP Mlawer, Eli Atmospheric & Environmental Research, Inc. Clough, Shepard Atmospheric and Environmental Research Delamere, Jennifer Atmospheric and Environmental Research, Inc. Miller, Mark Brookhaven National Laboratory Johnson, Karen Brookhaven National Laboratory Troyan, David Brookhaven National Laboratory Jensen, Michael Brookhaven National Laboratory Shippert, Timothy Pacific Northwest National Laboratory Long, Chuck Pacific Northwest National Laboratory Flynn, Connor Pacific Northwest National Laboratory Sivaraman, Chitra Pacific Northwest National Laboratory Turner, David University of Wisconsin-Madison Heck, Patrick University of Wisconsin Rutan, David Analytical Services & Materials, Inc.

471

VIMOS total transmission profiles for broad-band filters  

E-Print Network [OSTI]

VIMOS is a wide-field imager and spectrograph mounted on UT3 at the VLT, whose FOV consists of four 7'x8' quadrants. Here we present the measurements of total transmission profiles -- i.e. the throughput of telescope + instrument -- for the broad band filters U, B, V, R, I, and z for each of its four quadrants. Those measurements can also be downloaded from the public VIMOS web-page. The transmission profiles are compared with previous estimates from the VIMOS consortium.

S. Mieske; M. Rejkuba; S. Bagnulo; C. Izzo; G. Marconi

2007-04-13T23:59:59.000Z

472

Development of a low-profile portable concrete barrier  

E-Print Network [OSTI]

A low-profile portable concrete barrier (PCB) has been developed for use in low-speed (approximately 45 mph [73 km/h] or less) work zones. The purpose of the low-profile barrier is to shield the work zone and redirect errant vehicles while.... SEQUENTIAL PHOTOGRAPHS OF CRASH TESTS APPENDIX D. ACCELEROMETER TRACES AND PLOTS OF ROLL, PITCH AND YAW RATES APPENDIX E. TEST VEHICLE PROPERTIES VITA Page 6 8 8 10 10 13 13 17 18 19 20 24 29 29 41 50 52 53 63 68 73 82 85 LIST...

Guidry, Todd Randall

2012-06-07T23:59:59.000Z

473

Probing the Universal Critical-Adsorption Profile by Neutron Reflectometry  

Science Journals Connector (OSTI)

We present the results of a neutron-reflectivity study of the universal critical-adsorption profile near the liquid-vapor interface of a binary-liquid mixture (methanol + deuterated cyclohexane) near criticality. As the critical temperature is approached from the one-phase region, we observed an abrupt decrease in the intensity of the specularly reflected neutron beam near the total-reflection edge. By interpreting the observation as the expected neutron-reflectivity discontinuity associated with a slowly decaying power-law profile, we evaluated the power-law exponent ( ?/?=0.50±0.05).

Hong Zhao; Anne Penninckx-Sans; Lay-Theng Lee; Daniel Beysens; Gérard Jannink

1995-09-04T23:59:59.000Z

474

Optimira Energy, Inc. & Subaru Teaming Profile- Optimira Energy, Inc.  

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

Optimira Energy, Inc. & Subaru Teaming Profile- Optimira Energy, Optimira Energy, Inc. & Subaru Teaming Profile- Optimira Energy, Inc. formerly Cinergy Solutions ...providing total energy solutions Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing

475

Minimizing control variation in nonlinear optimal control  

Science Journals Connector (OSTI)

In any real system, changing the control signal from one value to another will usually cause wear and tear on the system's actuators. Thus, when designing a control law, it is important to consider not just predicted system performance, but also the ... Keywords: Constrained optimal control, Nonlinear optimization, Optimal control computation, Total variation

Ryan Loxton; Qun Lin; Kok Lay Teo

2013-09-01T23:59:59.000Z

476

Acute caffeine consumption enhances the executive control of visual attention in habitual consumers  

E-Print Network [OSTI]

Acute caffeine consumption enhances the executive control of visual attention in habitual consumers vigilance and the executive control of visual attention in individuals with low caffeine consumption consumption profiles would show similar advantages. To this end, we examined the effects of four caffeine

Patel, Aniruddh D.

477

Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane  

SciTech Connect (OSTI)

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

2014-11-05T23:59:59.000Z

478

Broadband Heating Rate Profile Project (BBHRP) - SGP 1bbhrpripbe1mcfarlane  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for BBHRP into a single gridded input file. Additionally, an interface between the RIPBE input file and the RRTM was developed using the new ARM integrated software development environment (ISDE) and effort was put into developing quality control (qc) flags and provenance information on the BBHRP output files so that analysis of the output would be more straightforward. This new version of BBHRP, sgp1bbhrpripbeC1.c1, uses the RIPBE files as input to RRTM, and calculates broadband SW and LW fluxes and heating rates at 1-min resolution using the independent column approximation. The vertical resolution is 45 m in the lower and middle troposphere to match the input cloud properties, but is at coarser resolution in the upper atmosphere. Unlike previous versions, the vertical grid is the same for both clear-sky and cloudy-sky calculations.

Riihimaki, Laura; Shippert, Timothy

479

Navy Estimated Average Hourly Load Profile by Month (in MW)  

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

Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

480

17PANTHER EYES Part of a series profiling undergraduate  

E-Print Network [OSTI]

17PANTHER EYES Part of a series profiling undergraduate researchers provided by University enough to buy an undergraduate a little cachet. Of course, if the car is 22 years old, sporting patches, a patina," says Lambert of the car, which he describes as a "big, old, bulletproof diesel Mercedes

Jiang, Huiqiang

Note: This page contains sample records for the topic "folder profile control" 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

Probing the Temperature Profile of Energy Production in the Sun  

Science Journals Connector (OSTI)

The particle kinetic energies of thermonuclear pp fusion in the Sun (Gamow energy) produce small changes in the energies of pp solar neutrinos relative to those due only to exothermal energetics. This effect may be observable via the unique tools of the LENS solar neutrino detector. The temperature profile of energy production in the Sun may thus be directly probed for the first time.

Christian Grieb and R. S. Raghavan

2007-04-02T23:59:59.000Z

482

Characterizing Vertical Mass Flux Profiles in Aeolian Saltation Systems  

E-Print Network [OSTI]

*) - 0.4133 (r^2=0.65). The values of beta ranged from 6.11 ? 17.83 for all the experiments. The Rouse profiles calculated using this approach predict very similar vertical distributions to the observed data and predicted 86% and 81% of the observed...

Farrell, Eugene

2012-07-16T23:59:59.000Z

483

STUDENT PROFILE A junior in biomedical engineering, Caroline plans to  

E-Print Network [OSTI]

STUDENT PROFILE A junior in biomedical engineering, Caroline plans to use her education her come to NC State to study engineering. Her Dean's Merit Scholarship has given her the opportunity been an Engineering Ambassador, volunteered with Habitat for Humanity during a spring break trip

484

Leaching induced concentration profiles in the solid phase of cement  

SciTech Connect (OSTI)

Analysis of the solid phase of portland cement specimens by energy dispersive x-ray spectrometry before and after leaching provided elemental profiles within the cement. Releases of potassium were calculated from the solid phase profiles and were compared to releases determined from leachate analyses of potassium and cesium-137. The fraction of potassium released in the leachate was found to correlate closely to that of cesium-137 under varying time and temperature conditions, despite the different manner in which each was originally contained in the cement. Agreement was obtained among potassium releases as determined from the solid, potassium in the leachate and cesium-137 in the leachate. These correlations allowed the use of potassium as an analog for cesium-137 in cement. Profiles of potassium in the solid showed varying degrees of depletion. A specimen, sectioned immediately after leaching for 471 days, showed complete removal of potassium to 9 mm depth from the specimens surface. From 9 mm to the center of the specimen, an apparently linear increase in concentration was observed. Specimens that had been air dried prior to sectioning had profiles that were produced by evaporative transport of dissolved species toward the surface. Carbonation of the surface appears to have retarded migration of the dissolved material. This prevented it from reaching the outer edge and resulted in increased potassium concentrations several mm inside the surface. 9 refs., 10 figs., 2 tabs.

Fuhrmann, M.; Colombo, P.

1987-04-01T23:59:59.000Z

485

Jordan: A Refugee Haven ---Country Profile Graldine Chatelard  

E-Print Network [OSTI]

Jordan: A Refugee Haven --- Country Profile Géraldine Chatelard August 2010, Migration Information Jordan since the Palestinian exodus of 1948 has played a key role in the country's politics, economy's Hashemite monarchy to ensure its own stability. Jordan is a case in point for how various forms of mobility

Paris-Sud XI, Université de

486

1. How To Get Access Complete Your Company Profile  

E-Print Network [OSTI]

1. How To Get Access Complete Your Company Profile Go to www.niu.edu/careerservices In the center you notify us otherwise. 3. Search Resume Books Log into your eRecruiting account Select Resume majors. You can choose to search resumes by using the Resume Key Words search or break down your search

Kostic, Milivoje M.

487

Profiles of heating in turbulent coronal magnetic loops  

E-Print Network [OSTI]

Context: The location of coronal heating in magnetic loops has been the subject of a long-lasting controversy: does it occur mostly at the loop footpoints, at the top, is it random, or is the average profile uniform? Aims: We try to address this question in model loops with MHD turbulence and a profile of density and/or magnetic field along the loop. Methods: We use the ShellAtm MHD turbulent heating model described in Buchlin & Velli (2006), with a static mass density stratification obtained by the HydRad model (Bradshaw & Mason 2003). This assumes the absence of any flow or heat conduction subsequent to the dynamic heating. Results: The average profile of heating is quasi-uniform, unless there is an expansion of the flux tube (non-uniform axial magnetic field) or the variation of the kinetic and magnetic diffusion coefficients with temperature is taken into account: in the first case the heating is enhanced at footpoints, whereas in the second case it is enhanced where the dominant diffusion coefficient is enhanced. Conclusions: These simulations shed light on the consequences on heating profiles of the complex interactions between physical effects involved in a non-uniform turbulent coronal loop.

E. Buchlin; P. J. Cargill; S. J. Bradshaw; M. Velli

2007-02-28T23:59:59.000Z

488

Student Profile Application Form 2014 Page 1 VTAC Number:__________________________________________________  

E-Print Network [OSTI]

):______________________________________ Bachelor of Applied Science (Outdoor Recreation and Ecotourism) Student Profile Application Form 2014 IMPORTANT INFORMATION · We recommend that you put the Outdoor Recreation and Ecotourism course as your first. Address your application to: Outdoor Recreation and Ecotourism Course School of Environmental Sciences

Thomas, Richard C.

489

College of Engineering Profile The College of Engineering at Colorado  

E-Print Network [OSTI]

College of Engineering Profile 2007-2008 The College of Engineering at Colorado State has a strong tradition of excellence in science and engineering. The vision of the College of Engineering services, and outreach. We will serve society by solving problems of global importance and through

490

Charged-species profiles in electronegative radio-frequency plasmas  

Science Journals Connector (OSTI)

The negative ion density profile in a low pressure oxygen rf plasma has been measured by a photodetachment technique. At an rf power of 10 W and a neutral pressure of 10 mTorr, a parabolic negative ion density profile is obtained with a peak density of 8×1015 m-3 and a maximum ratio of negative ion to electron densities n-/ne?18. Under these conditions, the most abundant positive ion, determined by ion mass spectrometry, is O2+ with O+ being less than 10% of the positive ion density. The most abundant negative ion is O- with O2- and O3- being less than 20% of the total negative charge density. The maximum in the density profile of negative ions shifts closer to the powered rf electrode as the pressure is increased in the asymmetric system. Comparison of the results to theory indicates that the asymmetry follows from an enhancement of the ionization rate near the powered electrode sheath. The parabolic profile is also obtained in CCl2F2 at low pressure. Simulations and measurements show a rapid drop in ion density near the sheath that may be related to the recently discussed ‘‘stratification’’ phenomenon in electronegative plasmas.

D. Vender; W. W. Stoffels; E. Stoffels; G. M. W. Kroesen; F. J. de Hoog

1995-03-01T23:59:59.000Z

491

Random Profiles of Laser Marks S. Saloomeh Shariati1  

E-Print Network [OSTI]

of the random profile of laser marks that are engraved on the surface or in the bulk of physical objects. Given is Radio Frequency Identification (RFID) Tag that contains digital identifier used to authenticate a credit card and serves as an identification tag. For a more in-depth view of PUF and its use

Nesterov, Yurii

492

Dynamic modeling and learning user profile in personalized news agent  

E-Print Network [OSTI]

to changing user interests. In this thesis, a novel scheme is proposed to learn user profile. The proposed scheme is designed to handle multiple domains of long-term and short-term users' interests simultaneously, which are learned through positive...

Widyantoro, Dwi Hendratmo

1999-01-01T23:59:59.000Z

493

Profiles of foreign direct investment in US energy, 1992  

SciTech Connect (OSTI)

The report reviews the patterns of foreign ownership interest in US energy enterprises, exclusive of portfolio investment (<10% ownership of a US enterprise). It profiles the involvement of foreign-affiliated US companies in the following areas: domestic petroleum production (including natural gas), reserve holdings, refining and marketing activities, coal production, and uranium exploration and development.

Not Available

1994-05-16T23:59:59.000Z

494

Profile of party supporters in the 2011 Saskatchewan provincial election  

E-Print Network [OSTI]

Profile of party supporters in the 2011 Saskatchewan provincial election: A research brief December 2011 Saskatchewan Election Study team Dr. Michael Atkinson, Johnson-Shoyama Graduate School of Public Policy Dr. David McGrane, St. Thomas More College, University of Saskatchewan Dr. Loleen Berdahl

Saskatchewan, University of

495

SPECIES PROFILE New Hampshire Wildlife Action PlanA-276  

E-Print Network [OSTI]

SPECIES PROFILE New Hampshire Wildlife Action PlanA-276 Federal Listing: Not listed State Listing caused by direct solar insolation and benefit from the cooling effects of wind caused by evaporative, as well as benefits from the cooling effects of wind. Eastern Red Bat Lasiurus borealis Roost trees

New Hampshire, University of

496

ANALYSIS OF GENE EXPRESSION PROFILES AND DRUG ACTIVITY PATTERNS BY  

E-Print Network [OSTI]

are more related to the kind of cancer than to drug activity patterns. Dependency analysis using Bayesian1 11 ANALYSIS OF GENE EXPRESSION PROFILES AND DRUG ACTIVITY PATTERNS BY CLUSTERING AND BAYESIAN of data produced from up- to-date biological experimental processes needs appropriate data mining

497

Cloud Condensation Nuclei Profile Value-Added Product  

SciTech Connect (OSTI)

The cloud condensation nuclei (CCN) concentration at cloud base is the most relevant measure of the aerosol that influences droplet formation in clouds. Since the CCN concentration depends on supersaturation, a more general measure of the CCN concentration is the CCN spectrum (values at multiple supersaturations). The CCN spectrum is now measured at the surface at several fixed ARM sites and by the ARM Mobile Facility (AMF), but is not measured at the cloud base. Rather than rely on expensive aircraft measurements for all studies of aerosol effects on clouds, a way to project CCN measurements at the surface to cloud base is needed. Remote sensing of aerosol extinction provides information about the vertical profile of the aerosol, but cannot be directly related to the CCN concentration because the aerosol extinction is strongly influenced by humidification, particularly near cloud base. Ghan and Collins (2004) and Ghan et al. (2006) propose a method to remove the influence of humidification from the extinction profiles and tie the “dry extinction” retrieval to the surface CCN concentration, thus estimating the CCN profile. This methodology has been implemented as the CCN Profile (CCNPROF) value-added product (VAP).

McFarlane, S; Sivaraman, C; Ghan, S

2012-10-08T23:59:59.000Z

498

Profiling the Thermoelectric Power of Semiconductor Junctions with  

E-Print Network [OSTI]

sources realize energy conversion between heat and electricity without the use of moving me- chanical the thermoelectric power, band struc- tures, and carrier concentrations of semiconductor junctions that constitute S is governed by local carrier statistics, SThEM allows us to profile precise elec- tronic junction locations

499

PARTNERSHIP PROFILE: THE GAVI ALLIANCE | 1 About the GAVI Alliance  

E-Print Network [OSTI]

PARTNERSHIP PROFILE: THE GAVI ALLIANCE | 1 APRIL 2014 About the GAVI Alliance The GAVI Alliance (also known as "GAVI,"and formerly called the Global Alliance for Vaccines and Immunisation in the poorest countries. The Alliance brings together governments of industrialized and developing coun- tries

Klein, Ophir

500

Calibrated nanoscale dopant profiling using a scanning microwave microscope  

SciTech Connect (OSTI)

The scanning microwave microscope is used for calibrated capacitance spectroscopy and spatially resolved dopant profiling measurements. It consists of an atomic force microscope combined with a vector network analyzer operating between 1-20 GHz. On silicon semiconductor calibration samples with doping concentrations ranging from 10{sup 15} to 10{sup 20} atoms/cm{sup 3}, calibrated capacitance-voltage curves as well as derivative dC/dV curves were acquired. The change of the capacitance and the dC/dV signal is directly related to the dopant concentration allowing for quantitative dopant profiling. The method was tested on various samples with known dopant concentration and the resolution of dopant profiling determined to 20% while the absolute accuracy is within an order of magnitude. Using a modeling approach the dopant profiling calibration curves were analyzed with respect to varying tip diameter and oxide thickness allowing for improvements of the calibration accuracy. Bipolar samples were investigated and nano-scale defect structures and p-n junction interfaces imaged showing potential applications for the study of semiconductor device performance and failure analysis.

Huber, H. P.; Hochleitner, M.; Hinterdorfer, P. [University of Linz, Christian Doppler Laboratory for Nanoscopic Methods in Biophysics, Altenbergerstrasse 69, 4040 Linz (Austria); Humer, I.; Smoliner, J. [Technical University of Vienna, Institute for Solid State Electronics, 1040 Vienna (Austria); Fenner, M.; Moertelmaier, M.; Rankl, C.; Tanbakuchi, H.; Kienberger, F. [Agilent Technologies, Inc., 5301 Stevens Creek Blvd., Santa Clara, California 95051 (United States); Imtiaz, A.; Wallis, T. M.; Kabos, P. [National Institute for Standards and Technology, Electromagnetic Division, 325 Broadway, Boulder, Colorado 80305-3337 (United States); Kopanski, J. J. [National Institute of Standards and Technology, Semiconductor Measurements Division, Gaithersburg, Maryland 20899-8120 (United States)

2012-01-01T23:59:59.000Z