Sample records for load profile openei

  1. load profile | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel'slinked open data Home

  2. OpenEI Community - load profile

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0 en The

  3. Special Issue Load Profiling Based Routing for

    E-Print Network [OSTI]

    Special Issue Load Profiling Based Routing for Guaranteed Bandwidth Flows \\Lambda IBRAHIM MATTA y the load across the set of candidate routes. In this paper, we propose the use of load profiling as an attractive alternative to load balancing for routing guaranteed bandwidth VCs (flows). Load profiling

  4. LOAD AND THE SPATIAL PROFILE OF VISUAL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 PhD Thesis LOAD AND THE SPATIAL PROFILE OF VISUAL SELECTIVE ATTENTION Serge Caparos Goldsmiths). This thesis examined (1) the shape of the profile of perceptual resources in space and (2) the effect of several factors on the focus of this profile. The spatial profile of perceptual resources was indexed

  5. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Load Profiles Nobuyuki Yamaguchi, Central Research Institute of Electric PowerElectric Power Industry. A Meanwhile, load profiles of each

  6. Newbie question: How to view commercial/residential load profile...

    Open Energy Info (EERE)

    Newbie question: How to view commercialresidential load profile datasets? Home > Groups > Buildings I have downloaded SAM (20112414) and cannot access open the .tar files. Help...

  7. Evaluation of A Load Profiling Approach to Routing Guaranteed Bandwidth Flows \\Lambda

    E-Print Network [OSTI]

    Evaluation of A Load Profiling Approach to Routing Guaranteed Bandwidth Flows \\Lambda Ibrahim Matta balancing practice and proposed the use of load profiling as an alternative. Load profiling techniques allow profiling and contrast it to routing using load balancing and load packing. We do so both analytically

  8. Load Profiling for Efficient Route Selection in MultiClass Networks \\Lambda Azer Bestavros Ibrahim Matta

    E-Print Network [OSTI]

    Load Profiling for Efficient Route Selection in Multi­Class Networks \\Lambda Azer Bestavros Ibrahim on the concept of ``load profiling'', which allows a distribution of ``available'' bandwidth across a set load­profiling approach when compared to traditional load­balancing and load­packing VC routing schemes

  9. A Load Profiling Approach to Routing Guaranteed Bandwidth Flows \\Lambda Ibrahim Matta

    E-Print Network [OSTI]

    A Load Profiling Approach to Routing Guaranteed Bandwidth Flows \\Lambda Ibrahim Matta College recently proposed concept of load profiling [4]. We thoroughly characterize routing performance using load profiling and contrast it to rout­ ing using load balancing and load packing. We do so both analytically

  10. LOAD PROFILING IN DISTRIBUTED REALTIME SYSTEMS \\Lambda ``One Size Doesn't Fit All''

    E-Print Network [OSTI]

    LOAD PROFILING IN DISTRIBUTED REAL­TIME SYSTEMS \\Lambda ``One Size Doesn't Fit All'' Azer Bestavros a new load­profiling strategy that allows the nodes of a distributed system to be unequally loaded. Using load profiling, the system attempts to distribute the load amongst its nodes so as to maximize

  11. 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...

  12. Field Profile and Loading Measurements on Higher Order Modes in a Two Cell 500 MHz Superconducting Structure

    E-Print Network [OSTI]

    Barry, W.

    2011-01-01T23:59:59.000Z

    in the Proceedings Field Profile and Loading Measurements onNo. N00014-91-4152. Field Profile and Loading Measurementspart of this study, field profile and loading measurements

  13. Remote Area Power Supply (RAPS) load and resource profiles.

    SciTech Connect (OSTI)

    Giles, Lauren (Energetics, Inc., Washington, DC); Skolnik, Edward G. (Energetics, Inc., Washington, DC); Marchionini, Brian (Energetics, Inc., Washington, DC); Fall, Ndeye K. (Energetics, Inc., Washington, DC)

    2007-07-01T23:59:59.000Z

    In 1997, an international team interested in the development of Remote Area Power Supply (RAPS) systems for rural electrification projects around the world was organized by the International Lead Zinc Research Organization (ILZRO) with the support of Sandia National Laboratories (SNL). The team focused on defining load and resource profiles for RAPS systems. They identified single family homes, small communities, and villages as candidates for RAPS applications, and defined several different size/power requirements for each. Based on renewable energy and resource data, the team devised a ''strawman'' series of load profiles. A RAPS system typically consists of a renewable and/or conventional generator, power conversion equipment, and a battery. The purpose of this report is to present data and information on insolation levels and load requirements for ''typical'' homes, small communities, and larger villages around the world in order to facilitate the development of robust design practices for RAPS systems, and especially for the storage battery component. These systems could have significant impact on areas of the world that would otherwise not be served by conventional electrical grids.

  14. Grid Integration of Aggregated Demand Response, Part 1: Load Availability Profiles and Constraints for the Western Interconnection

    E-Print Network [OSTI]

    Olsen, Daniel J.

    2014-01-01T23:59:59.000Z

    Demand (MW) 4000 Residential Hourly Average Load Profilesdaily profile showing average hourly demand. Residential:Total Demand (MW) 8 8 Residential Daily Averaqe Load Profile

  15. Profile-Supported Confidence Estimation for Load-Value-Prediction Martin Burtscher and Benjamin G. Zorn

    E-Print Network [OSTI]

    Burtscher, Martin

    Profile-Supported Confidence Estimation for Load-Value-Prediction Martin Burtscher and Benjamin G}@cs.colorado.edu Abstract Due to their occasional very long latency, load instruc- tions are among the slowest instructions the execution of its dependent instructions, which can significantly affect system performance. Load value

  16. LOAD PROFILING IN DISTRIBUTED REAL-TIME SYSTEMS \\One Size Doesn't Fit All"

    E-Print Network [OSTI]

    LOAD PROFILING IN DISTRIBUTED REAL-TIME SYSTEMS \\One Size Doesn't Fit All" Azer Bestavros (best@cs.bu.edu) Boston University Computer Science Department 111 Cummington street Boston, MA 02215 Abstract Load balancing is often used to ensure that nodes in a distributed systems are equally loaded. In this paper, we

  17. Are domestic load profiles stable over time? An attempt to identify target households for demand

    E-Print Network [OSTI]

    Are domestic load profiles stable over time? An attempt to identify target households for demand Bamberg, Germany Email: thorsten.staake@uni-bamberg.de Abstract--Elaborating demand side management future demand side will largely depend on an automatic control of larger loads, it is also widely agreed

  18. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    SciTech Connect (OSTI)

    Yamaguchi, Nobuyuki; Han, Junqiao; Ghatikar, Girish; Piette, Mary Ann; Asano, Hiroshi; Kiliccote, Sila

    2009-06-28T23:59:59.000Z

    This paper provides new regression models for demand reduction of Demand Response programs for the purpose of ex ante evaluation of the programs and screening for recruiting customer enrollment into the programs. The proposed regression models employ load sensitivity to outside air temperature and representative load pattern derived from cluster analysis of customer baseline load as explanatory variables. The proposed models examined their performances from the viewpoint of validity of explanatory variables and fitness of regressions, using actual load profile data of Pacific Gas and Electric Company's commercial and industrial customers who participated in the 2008 Critical Peak Pricing program including Manual and Automated Demand Response.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation, search Contents 1Wastes HazardousEnergy Load

  20. Low profile, high load vertical rolling positioning stage

    DOE Patents [OSTI]

    Shu, Deming (Darien, IL); Barraza, Juan (Aurora, IL)

    1996-01-01T23:59:59.000Z

    A stage or support platform assembly for use in a synchrotron accurately positions equipment to be used in the beam line of the synchrotron. The support platform assembly includes an outer housing in which is disposed a lifting mechanism having a lifting platform or stage at its upper extremity on which the equipment is mounted. A worm gear assembly is located in the housing and is adapted to raise and lower a lifting shaft that is fixed to the lifting platform by an anti-binding connection. The lifting platform is moved vertically as the lifting shaft is moved vertically. The anti-binding connection prevents the shaft from rotating with respect to the platform, but does permit slight canting of the shaft with respect to the lifting platform so as to eliminate binding and wear due to possible tolerance mismatches. In order to ensure that the lifting mechanism does not move in a horizontal direction as it is moved vertically, at least three linear roller bearing assemblies are arranged around the outer-periphery of the lifting mechanism. One of the linear roller bearing assemblies can be adjusted so that the roller bearings apply a loading force against the lifting mechanism. Alternatively, a cam mechanism can be used to provide such a loading force.

  1. Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the

    E-Print Network [OSTI]

    Aickelin, Uwe

    Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time://ima.ac.uk/dent 2 The James Hutton Institute, Aberdeen, UK Abstract. UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benefit of the overall elec- tricity

  2. Effect of Drug Loading and Laser Surface Melting on Drug Release Profile from Biodegradable Polymer

    E-Print Network [OSTI]

    Yao, Y. Lawrence

    Effect of Drug Loading and Laser Surface Melting on Drug Release Profile from Biodegradable Polymer(L-lactic acid) is promising in drug delivery applications because it allows for drug release in a controlled manner. In a polymer-based drug delivery system, drug release is controlled by polymer degradation

  3. Effect of Drug Loading and Laser Surface Melting on Drug Release Profile from Biodegradable Polymer

    E-Print Network [OSTI]

    Yao, Y. Lawrence

    1 Effect of Drug Loading and Laser Surface Melting on Drug Release Profile from Biodegradable The biodegradable polymer such as poly(L-lactic acid) is promising in drug delivery applications because it allows for drug release in a controlled manner. In a polymer-based drug delivery system, drug release

  4. Load Scheduling with Profile Information ? Gotz Lindenmaier 1 , Kathryn S. M c Kinley 2 , and Olivier Temam 3

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Load Scheduling with Profile Information ? GË?otz Lindenmaier 1 , Kathryn S. M c Kinley 2 have added hardware per­ formance counters to their microprocessors to generate profile data cheaply. We show how to use Compaq's DCPI tool to determine load latencies which are at a fine, instruction

  5. Welcome - OpenEI Datasets

    Open Energy Info (EERE)

    Search for a topic or click on a statistic to dive into our datasets. This is a featured section Placeholder OpenEI Datasets statistics 1k datasets 2 organizations 0 related items...

  6. Open Energy Information Systems (OpenEIS) | Department of Energy

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

    Open Energy Information Systems (OpenEIS) Open Energy Information Systems (OpenEIS) Lead Performer: Lawrence Berkeley National Laboratory - Berkeley, CA Project Partners: --...

  7. Using measured equipment load profiles to "right-size" HVAC systems and reduce energy use in laboratory buildings (Pt. 2)

    E-Print Network [OSTI]

    Mathew, Paul; Greenberg, Steve; Frenze, David; Morehead, Michael; Sartor, Dale; Starr, William

    2008-01-01T23:59:59.000Z

    load profiles to “right-size” HVAC systems and reduce energyGeorgia. ASHRAE [1999]. HVAC Applications Handbook 1999.Inefficiency of a Common Lab HVAC System,” presented at the

  8. Newbie question: How to view commercial/residential load profile datasets?

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania:Information296593°, -122.0402399°| OpenEI Community

  9. building load data | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picture Submitted by Home Sfomail's

  10. building load | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picture Submitted by Home Sfomail's

  11. commercial load | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picture Submittedcitingcode

  12. electric load data | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel's picturecontestdrought

  13. load data | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel'slinked open data Home Jweers'sload

  14. residential load | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind Home Rmckeel'slinkedpolicy Homepvrequest forload

  15. OpenEI Community - building load

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff thedrivingGivenGhost" entries

  16. OpenEI Community - building load data

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff thedrivingGivenGhost" entries

  17. OpenEI Community - commercial load

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff thedrivingGivenGhost"overview

  18. OpenEI Community - electric load data

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff

  19. OpenEI Community - load data

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0 en The

  20. OpenEI Community - residential load

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0

  1. Regression Models for Demand Reduction based on Cluster Analysis of Load Profiles

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    Automated Demand Response in a Large Office Building”, CECBuilding Control Strategies and Techniques for Demand Response”,Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings

  2. Todd Park | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  3. Separating out IOUs | OpenEI Community

    Open Energy Info (EERE)

    12:46 Points: 0 Not directly, but you can determine which utilities are IOUs from this dataset: http:en.openei.orgdoe-opendatadatasetu-s-electric-utility-companies-and-rates-l...

  4. version 1 | OpenEI Community

    Open Energy Info (EERE)

    generation web service for the utility rate database is finally here I encourage you to check out the V2 Utility Rates API at http:en.openei.orgservicesdocrestutilrates...

  5. OpenEI Community Central | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff<div/0Agencycontent2050OpenEI

  6. OpenEI Community Central | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil andOpenEI Community Central Home > OpenEI

  7. OpenEI dashboard | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI Town

  8. Groups | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater Sampling

  9. Groups | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater SamplingFeatured

  10. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    Rest REST Documentation Explore our available RESTful Web services. Term extraction & content recommendation engine new Documentation Also see: OpenEI search United States Utility...

  11. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    content recommendations. Request URL Request Parameters Response Fields Examples JSON Output Format Errors Request URL GET http:en.openei.orgservicesapicontentassist...

  12. Tim O'reilly | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  13. Using measured equipment load profiles to 'right-size' HVACsystems and reduce energy use in laboratory buildings (Pt. 2)

    SciTech Connect (OSTI)

    Mathew, Paul; Greenberg, Steve; Frenze, David; Morehead, Michael; Sartor, Dale; Starr, William

    2005-06-29T23:59:59.000Z

    There is a general paucity of measured equipment load datafor laboratories and other complex buildings and designers often useestimates based on nameplate rated data or design assumptions from priorprojects. Consequently, peak equipment loads are frequentlyoverestimated, and load variation across laboratory spaces within abuilding is typically underestimated. This results in two design flaws.Firstly, the overestimation of peak equipment loads results in over-sizedHVAC systems, increasing initial construction costs as well as energy usedue to inefficiencies at low part-load operation. Secondly, HVAC systemsthat are designed without accurately accounting for equipment loadvariation across zones can significantly increase simultaneous heatingand cooling, particularly for systems that use zone reheat fortemperature control. Thus, when designing a laboratory HVAC system, theuse of measured equipment load data from a comparable laboratory willsupport right-sizing HVAC systems and optimizing their configuration tominimize simultaneous heating and cooling, saving initial constructioncosts as well as life-cycle energy costs.In this paper, we present datafrom recent studies to support the above thesis. We first presentmeasured equipment load data from two sources: time-series measurementsin several laboratory modules in a university research laboratorybuilding; and peak load data for several facilities recorded in anational energy benchmarking database. We then contrast this measureddata with estimated values that are typically used for sizing the HVACsystems in these facilities, highlighting the over-sizing problem. Next,we examine the load variation in the time series measurements and analyzethe impact of this variation on energy use, via parametric energysimulations. We then briefly discuss HVAC design solutions that minimizesimultaneous heating and cooling energy use.

  14. Geothermal Regulatory Roadmap | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpen

  15. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title Author

  16. Geothermal Regulatory Roadmap | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEA Type

  17. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEA

  18. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title AuthorEAdata

  19. Geothermal Regulatory Roadmap | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term Title

  20. Geothermal Regulatory Roadmap | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term TitleRecovery Type

  1. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term TitleRecovery

  2. Geothermal Regulatory Roadmap | OpenEI Community

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  3. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Term

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  5. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type Termflora and fauna

  6. Geothermal Regulatory Roadmap | OpenEI Community

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  9. Geothermal Regulatory Roadmap | OpenEI Community

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  10. Geothermal Regulatory Roadmap | OpenEI Community

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  11. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

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  12. Geothermal Regulatory Roadmap | OpenEI Community

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  13. Geothermal Regulatory Roadmap | OpenEI Community

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  14. Geothermal Regulatory Roadmap | OpenEI Community

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  15. Geothermal Regulatory Roadmap | OpenEI Community

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  16. Geothermal Regulatory Roadmap | OpenEI Community

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  17. Geothermal Regulatory Roadmap | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type Type

  18. Geothermal Regulatory Roadmap | OpenEI Community

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  19. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpenCX Type TermfloraFauna Type

  20. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

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  1. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

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  2. Geothermal Regulatory Roadmap | OpenEI Community

    Open Energy Info (EERE)

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  3. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Green Button

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    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Green

  5. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Greenblog Type

  6. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:Greenblog

  7. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump to:GreenblogData

  8. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term Title

  10. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term

  11. Green Button Applications | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term Type

  12. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Term

  13. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Termutility

  14. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type Termutility

  15. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Type

  16. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump Typeterm >

  17. Green Button Applications | OpenEI Community

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  18. Green Button Applications | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump TypetermDOE Type

  19. Green Button FAQ | OpenEI Community

    Open Energy Info (EERE)

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  20. About OpenEI | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindey Wind6:00-06:00About OpenEI Jump to: navigation, search

  1. OpenEI Community - data

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivic HackingHourly Load Data Now

  2. OpenEI Community - developer

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivic HackingHourly Load Data

  3. OpenEI Community - energy

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivic HackingHourly Load Data/0

  4. OpenEI Community - forum

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivic HackingHourly Load

  5. OpenEI Community - gateway

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivic HackingHourly Load

  6. Green Button Apps on OpenEI | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II WindAirplane Jump TypetermDOE

  7. Groups in OpenEI Community Central | OpenEI Community

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy Information Groundwater Sampling AtFeatured

  8. OpenEI Town Hall Meeting #4 | OpenEI Community

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  9. OpenEI maintenance March 8-9, 2013 | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI TownOpenEI

  10. OpenEI part of the Federal Digital Strategy | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green FuelsperCivicVersion 2OpenEI

  11. What do you wish OpenEI would work more on? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would work

  12. What is your favorite OpenEI dataset? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would

  13. Open Energy Info (OpenEI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01T23:59:59.000Z

    The Open Energy Information (OpenEI.org) initiative is a free, open-source, knowledge-sharing platform. OpenEI was created to provide access to data, models, tools, and information that accelerate the transition to clean energy systems through informed decisions.

  14. What Can OpenEI Do For You?

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    Open Energy Information (OpenEI) is an open source web platform?similar to the one used by Wikipedia?developed by the US Department of Energy (DOE) and the National Renewable Energy Laboratory (NREL) to make the large amounts of energy-related data and information more easily searched, accessed, and used both by people and automated machine processes. Built utilizing the standards and practices of the Linked Open Data community, the OpenEI platform is much more robust and powerful than typical web sites and databases. As an open platform, all users can search, edit, add, and access data in OpenEI for free. The user community contributes the content and ensures its accuracy and relevance; as the community expands, so does the content's comprehensiveness and quality. The data are structured and tagged with descriptors to enable cross-linking among related data sets, advanced search functionality, and consistent, usable formatting. Data input protocols and quality standards help ensure the content is structured and described properly and derived from a credible source. Although DOE/NREL is developing OpenEI and seeding it with initial data, it is designed to become a true community model with millions of users, a large core of active contributors, and numerous sponsors.

  15. Protecting Consumer Privacy from Electric Load Stephen McLaughlin Patrick McDaniel

    E-Print Network [OSTI]

    McDaniel, Patrick Drew

    energy use. These profiles can be mined by Non Intrusive Load Monitors (NILMs) to expose much sensors to collect and report load profiles. Load profiles are histories of energy usage collected as Non-Intrusive Load Monitoring (NILM): Load monitoring Load profile Lighting Oven Heater ... Appliance

  16. Geothermal Exploration Case Studies on OpenEI (Presentation)

    SciTech Connect (OSTI)

    Young, K.; Bennett, M.; Atkins, D.

    2014-03-01T23:59:59.000Z

    The U.S. Geological Survey (USGS) resource assessment (Williams et al., 2008) outlined a mean 30 GWe of undiscovered hydrothermal resource in the western United States. One goal of the U.S. Department of Energy's (DOE) Geothermal Technology Office (GTO) is to accelerate the development of this undiscovered resource. DOE has focused efforts on helping industry identify hidden geothermal resources to increase geothermal capacity in the near term. Increased exploration activity will produce more prospects, more discoveries, and more readily developable resources. Detailed exploration case studies akin to those found in oil and gas (e.g. Beaumont and Foster, 1990-1992) will give developers central location for information gives models for identifying new geothermal areas, and guide efficient exploration and development of these areas. To support this effort, the National Renewable Energy Laboratory (NREL) has been working with GTO to develop a template for geothermal case studies on the Geothermal Gateway on OpenEI. In 2012, the template was developed and tested with two case studies: Raft River Geothermal Area (http://en.openei.org/wiki/Raft_River_Geothermal_Area) and Coso Geothermal Area (http://en.openei.org/wiki/Coso_Geothermal_Area). In 2013, ten additional case studies were completed, and Semantic MediaWiki features were developed to allow for more data and the direct citations of these data. These case studies are now in the process of external peer review. In 2014, NREL is working with universities and industry partners to populate additional case studies on OpenEI. The goal is to provide a large enough data set to start conducting analyses of exploration programs to identify correlations between successful exploration plans for areas with similar geologic occurrence models.

  17. How do I push or pull bulk wiki pages from OpenEI mediawiki instance...

    Open Energy Info (EERE)

    on this Please check out http:en.openei.orgcommunityblogopenei-downloadupload-automation-scripts Rmckeel on 10 October, 2012 - 10:00 Groups Menu You must login in order to...

  18. OpenEI: Datasets in the OpenEnergyInfo Data Repository

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

    The Open Energy Information initiative (OpenEI) is a platform to connect the world's energy data. It is a linked open data platform bringing together energy information to provide improved analyses, unique visualizations, and real-time access to data. OpenEI follows guidelines set by the White House Open Government Initiative , which is focused on transparency, collaboration, and participation. OpenEI strives to provide open access to this energy information, with the ultimate goal of spurring creativity and driving innovation in the energy sector.[Copied from the OpenEI Wiki main page]. It features a wiki, a blog, a list of information gateways, and a browsing list of deposited data sets.

  19. Tim O'reilly interviews Todd Park | OpenEI Community

    Open Energy Info (EERE)

    OpenEI Tim O'reilly Todd Park Check out theTim O'Reilly interview of Todd Park, US Chief Technology Officer, on his innovation agenda and his tips for creating a culture of...

  20. Geothermal CSC Data Tables Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:

  1. Geothermal CSC Exploration Activities Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:Exploration Activities

  2. Geothermal CSC Narratives Template | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:Exploration

  3. Geothermal CSC Reference List | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site:ExplorationReference List

  4. Global Biomass Power Generation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrock III

  5. Global Coal Fired Power Generation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrockGCEH

  6. Global Dicyandiamide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete

  7. Global Dicyandiamide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCreteCommunity Global

  8. Global Fuel Cells Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008)InformationGlobal Fuel Cells

  9. Global Offshore Lubricants Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation Livestock Production andGlobal

  10. Global Power Rental Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation LivestockCommunityGlobal

  11. Hawai'i Meeting #2 | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |Hatchet Ridge Wind Farm JumpHavoco1 -2

  12. What is the Vehicle API? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraphWellton-MohawkWesternwish OpenEI would workis

  13. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQL

  14. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQLAsk

  15. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's SPARQLAsk

  16. Energy Information, Data, and other Resources | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQL SPARQL OpenEI's

  17. Detecting Load Imbalance on the Cray XT

    E-Print Network [OSTI]

    @cray.com) © Cray Inc. Slide 10 Profile with Load Distribution by Groups Table 1: Profile by Function GroupDetecting Load Imbalance on the Cray XT Luiz DeRose Programming Environment Director Cray Inc. ldr@cray.com #12;Slide 2 Motivation for Load Imbalance Analysis Increasing system software and architecture

  18. Improved Load Plan Design Through Integer Programming Based ...

    E-Print Network [OSTI]

    2011-12-21T23:59:59.000Z

    The load plan determines which shipments are packed together into the ...... More importantly, however, from an implementation perspective, this “profile”.

  19. Energy Systems Integration | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQLFailed to loadEnergy

  20. Energy Systems Integration | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum,SPARQLFailed to loadEnergySystems

  1. SmartGrid: Quarterly Data Summaries from the Data Hub and SmartGrid Project Information (from OpenEI and SmartGrid.gov)

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

    Both OpenEI and SmartGrid.gov are DOE portals to a wealth of information about the federal initiatives that support the development of the technologies, policies and projects transforming the electric power industry. Projects funded through the U.S. Recovery Act are organized by type and pinned to an interactive map at http://en.openei.org/wiki/Gateway:Smart_Grid. Each project title links to more detailed information. The Quarterly Data Summaries from the Data Hub at SmartGrid.gov are also available on OpenEI at http://en.openei.org/datasets/node/928. In addition, the SmartGrid Information Center contains documents and reports that can be searched or browsed. Smart Grid Resources introduces international SmartGrid programs and sites, while OpenEI encourages users to add SmartGrid information to the repository.

  2. Geothermal NEPA Database on OpenEI (Poster)

    SciTech Connect (OSTI)

    Young, K. R.; Levine, A.

    2014-09-01T23:59:59.000Z

    The National Renewable Energy Laboratory (NREL) developed the Geothermal National Environmental Policy Act (NEPA) Database as a platform for government agencies and industry to access and maintain information related to geothermal NEPA documents. The data were collected to inform analyses of NEPA timelines, and the collected data were made publically available via this tool in case others might find the data useful. NREL staff and contractors collected documents from agency websites, during visits to the two busiest Bureau of Land Management (BLM) field offices for geothermal development, and through email and phone call requests from other BLM field offices. They then entered the information into the database, hosted by Open Energy Information (http://en.openei.org/wiki/RAPID/NEPA). The long-term success of the project will depend on the willingness of federal agencies, industry, and others to populate the database with NEPA and related documents, and to use the data for their own analyses. As the information and capabilities of the database expand, developers and agencies can save time on new NEPA reports by accessing a single location to research related activities, their potential impacts, and previously proposed and imposed mitigation measures. NREL used a wiki platform to allow industry and agencies to maintain the content in the future so that it continues to provide relevant and accurate information to users.

  3. Commercial and Residential Hourly Load Data Now Available on OpenEI! |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCityCoated ConductorsColonialComanche CleanCommerce

  4. Commercial and Residential Hourly Load Data Question | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia, North Carolina:Cooking Equipmentand

  5. Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

    SciTech Connect (OSTI)

    Denholm, P.; Ong, S.; Booten, C.

    2012-05-01T23:59:59.000Z

    This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

  6. Analysis Methodology for Industrial Load Profiles

    E-Print Network [OSTI]

    Reddoch, T. W.

    of potential for elcctricity conversion or im[Jroved cfficicncy in electricity usagc. EPRI's Electrotechnology Reference Guide [1] is an excellent place to bcgin an evaluation. Perhaps the single largest potential to ill1[Jrove electric encrgy utilization... Exhibit I: Methodology Flow Diagram 81 A variety of electrotechnologies exisl with a range of potential for electricity conversion or im["lroved efficiency in electricity usage. EPRI's Electrotechnology Reference Guide [1] is an excellent place to begin...

  7. Efficient approaches for the robust network loading problem

    E-Print Network [OSTI]

    2014-10-14T23:59:59.000Z

    The next section presents the formulations of the robust network load-. 3 ...... Figure 1: Performance profile comparing Compact-2, Benders-3, and Benders-4 for ...

  8. Grid Integration of Aggregated Demand Response, Part I: Load Availability

    E-Print Network [OSTI]

    LBNL-6417E Grid Integration of Aggregated Demand Response, Part I: Load Availability Profiles Resources 4 #12;#12;#12;CHAPTER 3: Results: DR Profiles 3.1 Projected Demand Response Availability in 2020

  9. Getting Rate Information from the utility_rates api | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) | OpenSilver PeakGeserv

  10. Global Combined Heat And Power Installation Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete IncIGlenrockGCEHGlobal

  11. Global High-purity Pentoxide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008)InformationGlobalIndustries

  12. Global High-purity Pentoxide Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd

  13. Global POF Shrink Film Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation Livestock

  14. Global POF Shrink Film Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformation LivestockCommunity POF

  15. Global Shuttleless Loom Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergy InformationGREP

  16. Global Shuttleless Loom Industry 2015 Market Research Report | OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergy

  17. Global Subsea Pumps Market to be Led by Brazil | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergyEnergy Jump to:|

  18. Global Synthetic & Bio-Based Lubricants Market | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAddInformationEnergyEnergy Jump to:|Global

  19. Google lends support to the software behind OpenEI.org | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation, searchGoodyear, Arizona: EnergyGoogle

  20. File:RAPID OpenEI Tutorial.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdf Jump to:Original Rule from OARProof2.pdf JumpRAPID OpenEI

  1. Hawai'i Meeting #1 - Flowchart Development | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |Hatchet Ridge Wind Farm JumpHavoco1 -

  2. Plug Load

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum38 (1996)representative of thePlug-Load Sign In

  3. Exploratory Divertor Heat Load Studies for Compact Stellarator Reactors

    E-Print Network [OSTI]

    Raffray, A. René

    of the divertor system is described in Sec. III, together with the plate heat load profile, and the conditions is power reaching the plate, AD is the total plate area, Wpk is the design peak heat load limitExploratory Divertor Heat Load Studies for Compact Stellarator Reactors T.K. Maua , H. Mc

  4. Alum Profile

    E-Print Network [OSTI]

    Alum Profile. Kathryn E. Brenan Engineering Specialist The Aerospace Corporation. Kathryn Brenan is an Engineering Specialist with the Engineering ...

  5. USB Key Profile Manager for Advisor: Dr. Chris Pollett

    E-Print Network [OSTI]

    Pollett, Chris

    . · Search for profiles. · Load the profile to Mozilla's registry. · Clean up at shutdown. #12;Feature 2USB Key Profile Manager for Mozilla by Yun Zhou Advisor: Dr. Chris Pollett Committee Members: Dr. Design and Implementation · Event-driven structure · USB profile loader · User authentication · Bulk

  6. An Evaluation of the HVAC Load Potential for Providing Load Balancing Service

    SciTech Connect (OSTI)

    Lu, Ning

    2012-09-30T23:59:59.000Z

    This paper investigates the potential of providing aggregated intra-hour load balancing services using heating, ventilating, and air-conditioning (HVAC) systems. A direct-load control algorithm is presented. A temperature-priority-list method is used to dispatch the HVAC loads optimally to maintain consumer-desired indoor temperatures and load diversity. Realistic intra-hour load balancing signals were used to evaluate the operational characteristics of the HVAC load under different outdoor temperature profiles and different indoor temperature settings. The number of HVAC units needed is also investigated. Modeling results suggest that the number of HVACs needed to provide a {+-}1-MW load balancing service 24 hours a day varies significantly with baseline settings, high and low temperature settings, and the outdoor temperatures. The results demonstrate that the intra-hour load balancing service provided by HVAC loads meet the performance requirements and can become a major source of revenue for load-serving entities where the smart grid infrastructure enables direct load control over the HAVC loads.

  7. Load Management for Industry

    E-Print Network [OSTI]

    Konsevick, W. J., Jr.

    1982-01-01T23:59:59.000Z

    customer management programs exist. EPRI Report (EM-1606) loads to beneficially alter a'utility's load curve. (Page 1-2) list them as: Load management alternatives are covered. 1. Direct or voluntary control of customer Load management methods can... and Electric Power Research Institute (EPRI) Report energy management programs. (EM-1606) states that "the objective of load manage ment is to alter the real or apparent pattern of Our load management program was designed electricity use in order to...

  8. Federal Bulk Transmission Regulatory Roadmapping | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazelPennsylvania:57427°, -89.4742177° Show Map LoadingFayston,Federal Bulk

  9. TRAINING-AND CONTEST-SCHEDULING IN ENDURANCE SPORTS BY MEANS OF COURSE PROFILES AND PERPOT-BASED ANALYSIS

    E-Print Network [OSTI]

    Perl, Jürgen

    profile (graphic on bottom), that the slope-caused load can affect the heart rate profile (graphic-based analysis can help for predicting perform- ance profiles in context-depending load situations and supportingTRAINING- AND CONTEST-SCHEDULING IN ENDURANCE SPORTS BY MEANS OF COURSE PROFILES AND PERPOT

  10. Isoperimetric profile of algebras

    E-Print Network [OSTI]

    D'Adderio, Michele

    2010-01-01T23:59:59.000Z

    2.4 Isoperimetric profile of groups . . . . . . . . . . .3.1 The Isoperimetric Profile . . . . . . . . . . . . . . .3.2 Isoperimetric profile and Amenability . . . . . . . .

  11. A commercial electromechanical actuator (EMA) is to be dynamically tested with predetermined stroke and load

    E-Print Network [OSTI]

    Wu, Thomas

    aircraft mission duty cycle. A hydraulic press will exert a corresponding load profile onto the EMA-model validation. For this test, a Danaher EMA (EC-5) and an MTS hydraulic press (MTS 458.20 controller) are used. The hydraulic press is commanded to exert a corresponding load profile. Due to the limitation of the selected

  12. Length: 238' Width: 55' Draft: 15' Full-load displacement: 3,024 LT

    E-Print Network [OSTI]

    Russell, Lynn

    AGOR 28 Length: 238' Width: 55' Draft: 15' Full-load displacement: 3,024 LT Berthing: 20 Crew, 24 profiling system, deep-, mid- and shallow-water acoustic doppler current profilers, acoustic navigation safety and load control · Condition-based power monitoring system for improved efficiency and control

  13. VITREOUS GEO2 RESPONSE UNDER IMPACT LOADING , T. J. Ahrens1

    E-Print Network [OSTI]

    Stewart, Sarah T.

    . Abstract. Stress wave profiles in vitreous GeO2 under planar shock loading were measured using stress wave profiles under planar impact. Two two- channel power supplies (CK-2, Dynasen, Inc.) were usedVITREOUS GEO2 RESPONSE UNDER IMPACT LOADING C. Liu1 , T. J. Ahrens1 and N. S. Brar2 1 Seismological

  14. Small-Signal Stability Assessment of Active Distribution Networks with Dynamic Loads

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    the flow of power and the voltage profiles of the system and these profiles are different for different types of loads [3]. In addition to the power flow at and around N. K. Roy, H. R. Pota, and T. F. OrchiSmall-Signal Stability Assessment of Active Distribution Networks with Dynamic Loads N. K. Roy

  15. The Effect of Cognitive Load on Human Mate Choice in Online Dating 

    E-Print Network [OSTI]

    Chisholm, Martin

    2011-06-29T23:59:59.000Z

    time spent viewing a profile, the number of times a certain area is fixated upon and the sections of a profile that catch the eye first. 61 participants between the ages of 18 and 29 provided data and the results of three 2 (Condition: Load vs. No Load...

  16. Buildings Stock Load Control

    E-Print Network [OSTI]

    Joutey, H. A.; Vaezi-Nejad, H.; Clemoncon, B.; Rosenstein, F.

    2006-01-01T23:59:59.000Z

    and distribution electricity infrastructures The second part presents the approach used to rise the objectives : ? To aggregat the individual loads and to analyze the impact of different strategies from load shedding to reduce peak power demand by: ? Developing...

  17. Load sensing system

    DOE Patents [OSTI]

    Sohns, Carl W. (Oak Ridge, TN); Nodine, Robert N. (Knoxville, TN); Wallace, Steven Allen (Knoxville, TN)

    1999-01-01T23:59:59.000Z

    A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast

  18. University Profile Profile 2006-2008

    E-Print Network [OSTI]

    Hickman, Mark

    University Profile 2006­2008 #12;Profile 2006-2008 #12;Page 2 University of Canterbury Profile 2006-2008 #12;University of Canterbury Profile 2006-2008 Page 3 Contents Part A: Strategic Direction Page 1. Appendix 1: Points of Connection between 18 STEP 2005-2007 and UC Profile Key Strategic Areas 12. Appendix

  19. Strong Interest Inventory Profile with College Profile

    E-Print Network [OSTI]

    Peak, Derek

    Strong Interest Inventory ® Profile with College Profile College Profile developed by Jeffrey P Interest Inventory® Profile JANE SAMPLE Date taken 1.1.2005 F HOW THE STRONG CAN HELP YOU The Strong in your Strong results. Understanding your Strong Profile can help you identify a career focus and begin

  20. Towards A Structural Load Testing Tool CheerSun D. Yang and Lori L. Pollock

    E-Print Network [OSTI]

    Pollock, Lori L.

    by the tester within an operational profile. This method of load testing is applied at system inte­ gration timeTowards A Structural Load Testing Tool Cheer­Sun D. Yang and Lori L. Pollock Department of Computer and Information Sciences University of Delaware Newark, DE 19716 (302) 831­1953 Abstract Load sensitive faults

  1. People Profiles

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear AstrophysicsPayroll, Taxes Payroll, TaxesPeople Profiles

  2. Mentor Profile

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment3311, 3312), OctoberMay 18-19,Department of EnergyMentor Profile

  3. 1990 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1990-12-01T23:59:59.000Z

    The Pacific Northwest Loads and Resources Study analyzes the Pacific Northwest's projected loads and available generating resources in two parts: (1) the loads and resources of the federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional profile, which includes loads and resources in addition to the federal system. The loads and resources analysis in this study emulates the operation of the power system under the Pacific Northwest Coordination Agreement as completed by the Pacific Northwest Coordinating Group. This study presents the federal system and regional analyses for five load forecasts: high, medium-high, medium, medium-low, and low. This analysis projects the yearly average energy consumption and resource availability for Operating Years 1991--92 through 2010--11. The study shows the federal system's and the region's monthly estimated maximum electrical demand and monthly maximum generating capability -- capacity -- for OY 1991--92, 1996--97, 2001--02 and 2010--11. The federal system and regional monthly capacity surpluses/deficits are summarized for 20 operating years. 17 figs., 11 tabs.

  4. Load sensing system

    DOE Patents [OSTI]

    Sohns, C.W.; Nodine, R.N.; Wallace, S.A.

    1999-05-04T23:59:59.000Z

    A load sensing system inexpensively monitors the weight and temperature of stored nuclear material for long periods of time in widely variable environments. The system can include an electrostatic load cell that encodes weight and temperature into a digital signal which is sent to a remote monitor via a coaxial cable. The same cable is used to supply the load cell with power. When multiple load cells are used, vast inventories of stored nuclear material can be continuously monitored and inventoried of minimal cost. 4 figs.

  5. Load regulating expansion fixture

    DOE Patents [OSTI]

    Wagner, Lawrence M. (San Jose, CA); Strum, Michael J. (San Jose, CA)

    1998-01-01T23:59:59.000Z

    A free standing self contained device for bonding ultra thin metallic films, such as 0.001 inch beryllium foils. The device will regulate to a predetermined load for solid state bonding when heated to a bonding temperature. The device includes a load regulating feature, whereby the expansion stresses generated for bonding are regulated and self adjusting. The load regulator comprises a pair of friction isolators with a plurality of annealed copper members located therebetween. The device, with the load regulator, will adjust to and maintain a stress level needed to successfully and economically complete a leak tight bond without damaging thin foils or other delicate components.

  6. Load regulating expansion fixture

    DOE Patents [OSTI]

    Wagner, L.M.; Strum, M.J.

    1998-12-15T23:59:59.000Z

    A free standing self contained device for bonding ultra thin metallic films, such as 0.001 inch beryllium foils is disclosed. The device will regulate to a predetermined load for solid state bonding when heated to a bonding temperature. The device includes a load regulating feature, whereby the expansion stresses generated for bonding are regulated and self adjusting. The load regulator comprises a pair of friction isolators with a plurality of annealed copper members located therebetween. The device, with the load regulator, will adjust to and maintain a stress level needed to successfully and economically complete a leak tight bond without damaging thin foils or other delicate components. 1 fig.

  7. Statistical Review of UK Residential Sector Electrical Loads

    E-Print Network [OSTI]

    Tsagarakis, G; Kiprakis, A E

    2013-01-01T23:59:59.000Z

    This paper presents a comprehensive statistical review of data obtained from a wide range of literature on the most widely used electrical appliances in the UK residential load sector. It focuses on individual appliances and begins by consideration of the electrical operations performed by the load. This approach allows for the loads to be categorised based on the electrical characteristics, and also provides information on the reactive power characteristics of the load, which is often neglected from standard consumption statistics. This data is particularly important for power system analysis. In addition to this, device ownership statistics and probability distribution functions of power demand are presented for the main residential loads. Although the data presented is primarily intended as a resource for the development of load profiles for power system analysis, it contains a large volume of information which provides a useful database for the wider research community.

  8. 16 Load Data Cleansing and Bus Load

    E-Print Network [OSTI]

    Wang, Ke

    -to-day operations, system analysis in smart grids, system visualization, system performance reliability, energy..............................................................................................................397 #12;376 Smart Grids The load forecast generally provides annual peak values for the whole system saving, and accuracy in system planning [1­4]. * This work is partly supported by a collaborative

  9. Cary Conference XIV Participant Profiles P a g e | 19

    E-Print Network [OSTI]

    Canham, Charles D.

    Cary Conference XIV Participant Profiles P a g e | 19 Timothy Allen Professor of Botany XIV Participant Profiles P a g e | 20 Rosemond. 2009. Do introduced North American beavers engineer and biomass loads of canopy emergent trees in Chilean temperate rain forests: A neglected functional component

  10. Commercial and Residential Hourly Load Profiles for all TMY3...

    Open Energy Info (EERE)

    Building America House Simulation Protocols). This dataset also uses the Residential Energy Consumption Survey (RECS) for statistical references of building types by location...

  11. Load research manual. Volume 3. Load research for advanced technologies

    SciTech Connect (OSTI)

    None

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. The manual includes guides to load research literature and glossaries of load research and statistical terms. In Volume 3, special load research procedures are presented for solar, wind, and cogeneration technologies.

  12. Load Monitoring CEC/LMTF Load Research Program

    SciTech Connect (OSTI)

    Huang, Zhenyu; Lesieutre, B.; Yang, Steve; Ellis, A.; Meklin, A.; Wong, B.; Gaikwad, A.; Brooks, D.; Hammerstrom, Donald J.; Phillips, John; Kosterev, Dmitry; Hoffman, M.; Ciniglio, O.; Hartwell, R.; Pourbeik, P.; Maitra, A.; Lu, Ning

    2007-11-30T23:59:59.000Z

    This white paper addresses the needs, options, current practices of load monitoring. Recommendations on load monitoring applications and future directions are also presented.

  13. Computing & Communications PROFILE MANAGEMENT

    E-Print Network [OSTI]

    Warkentin, Ian G.

    Computing & Communications PROFILE MANAGEMENT What is a profile? If you use a SWGC computing account, a profile will be created for you. A profile is a special file which is used to store your are provided with a default profile which is the same for all users. Any changes you then make to your working

  14. Power System load management

    SciTech Connect (OSTI)

    Rudenko, Yu.N.; Semenov, V.A.; Sovalov, S.A.; Syutkin, B.D.

    1984-01-01T23:59:59.000Z

    The variation in demand nonuniformity is analyzed for the Unified Electric Power System of the USSR and certain interconnected power systems; the conditions for handling such nonuniformity with utilization of generating equipment having differing flexibility capabilities are also considered. On this basis approaches and techniques for acting on user loads, load management, in order to assure a balance between generated and consumed power are considered.

  15. Composite Load Model Evaluation

    SciTech Connect (OSTI)

    Lu, Ning; Qiao, Hong (Amy)

    2007-09-30T23:59:59.000Z

    The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: • the model initializes properly, • all the parameter settings are functioning, and • the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.

  16. Industrial-Load-Shaping: The Practice of and Prospects for Utility/Industry Cooperation to Manage Peak Electricity Demand

    E-Print Network [OSTI]

    Bules, D. J.; Rubin, D. E.; Maniates, M. F.

    in programs that influence electric demand in ways that produce desired changes in the pattern and magnitude of a utility's electric load profile. These programs, commonly termed "de mand side management" (DSH) , have a customer orien tation... such a rescheduling. The residential customer class appears least suited to load-shaping efforts. Al though characterized by a relatively low load-profile (high peak-to-average ratio) and consistent electricity consumption pat terns, the timing...

  17. NREL EFM DATA: Disaggregated Residential Load Cost Data - Residential...

    Open Energy Info (EERE)

    Cost Data for Common Household Items URL: http:en.openei.orgdoe-opendatadatasetaabb13aa-7049-4ec4-af67-1986e10f721aresource9944a9da-8de4-472e-9184-2470df049594...

  18. Analysis of the behavior of 5 axially loaded single piles in sand at Hunter's Point

    E-Print Network [OSTI]

    Kon, Chee Min

    1989-01-01T23:59:59.000Z

    . 2. 1 Prediction methods 57 4. 2. 2 Comparison of predicted and measured results 58 5. CLOSED-ENDED PIPE PILE 64 5. 1 Background 5. 2 Residual loads 5. 3 Compression test 5. 3. 1 Load versus settlement curve 5. 3. 2 Load versus depth 64 66.... Horizontal earth pressure coefficient from load test of closed-ended pipe pile. (1 ft = 0. 3048 m) 89 51. Toe piezometer readings (Toe 2) versus time. (1 psi = 6. 89 kPa) 90 52. Assumed residual load profile of uplift test on closed-ended pipe pile. (1...

  19. Establishing a Pivot profile

    E-Print Network [OSTI]

    Simaan, Nabil

    Establishing a Pivot profile and finding funding opportunities PIVOT.COS.COM #12;Expertise Database with Researcher Profiles Approx. 3.2M scholarly profiles Created from publications, public web sites Claim your profile and expand it Funding Opportunities Database Approx. 28k opportunities 70% domestic, 30

  20. Load research manual. Volume 1. Load research procedures

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. In Volumes 1 and 2, procedures are suggested for determining data requirements for load research, establishing the size and customer composition of a load survey sample, selecting and using equipment to record customer electricity usage, processing data tapes from the recording equipment, and analyzing the data. Statistical techniques used in customer sampling are discussed in detail. The costs of load research also are estimated, and ongoing load research programs at three utilities are described. The manual includes guides to load research literature and glossaries of load research and statistical terms.

  1. Transportation Electrification Load Development For A Renewable Future Analysis: Preprint

    SciTech Connect (OSTI)

    Markel, T.; Mai, T.; Kintner-Meyer, M.

    2010-12-01T23:59:59.000Z

    The transition to electricity as a transportation fuel will create a new load for electricity generation. A set of regional hourly load profiles for electrified vehicles was developed for the 2010 to 2050 timeframe. The transportation electrical energy was determined using regional population forecast data, historical vehicle per capita data, and market penetration growth functions to determine the number of plug-in electric vehicles (PEVs) in each analysis region. Market saturation scenarios of 30% and 50% of sales of PEVs consuming on average approx. 6 kWh per day were considered. PEV aggregate load profiles from previous work were combined with vehicle population data to generate hourly loads on a regional basis. A transition from consumer-controlled charging toward utility-controlled charging was assumed such that by 2050 approximately 45% of the transportation energy demands could be delivered across four daily time slices under optimal control from the utility?s perspective. This electrified transportation analysis resulted in an estimate for both the flexible load and fixed load shapes on a regional basis that may evolve under two PEV market penetration scenarios.

  2. contingency Nominal loading margin

    E-Print Network [OSTI]

    Member Member Fellow Electrical and Computer Engineering Department University of Wisconsin, Madison WI 53706 USA Abstract: The change in the loading margin to voltage collapse when line outages occur the line outages of the IEEE 118 bus system. The results show the effective ranking of contingencies

  3. Cooling load estimation methods

    SciTech Connect (OSTI)

    McFarland, R.D.

    1984-01-01T23:59:59.000Z

    Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

  4. Field Test Protocol: Standard Internal Load Generation in Unoccupied Test Homes

    SciTech Connect (OSTI)

    Fang, X.; Christensen, D.; Barker, G.; Hancock, E.

    2011-06-01T23:59:59.000Z

    This document describes a simple and general way to generate House Simulation Protocol (HSP)-consistent internal sensible and latent loads in unoccupied homes. It is newly updated based on recent experience, and provides instructions on how to calculate and set up the operational profiles in unoccupied homes. The document is split into two sections: how to calculate the internal load magnitude and schedule, and then what tools and methods should be used to generate those internal loads to achieve research goals.

  5. Does your facility have CHP potential? Ideal sites will fit the following profile, but sites meeting only a few of these

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Does your facility have CHP potential? Ideal sites will fit the following profile, but sites electricity prices (>5 cents/kWh); average electric load >1 MW; ratio of average electric load to peak load operating hours (> 6000); thermal demand closely matches electric load; and energy security and reliability

  6. Transportation Electrification Load Development For a Renewable Future Analysis

    SciTech Connect (OSTI)

    Markel, Tony; Mai, Trieu; Kintner-Meyer, Michael CW

    2010-09-30T23:59:59.000Z

    Electrification of the transportation sector offers the opportunity to significantly reduce petroleum consumption. The transportation sector accounts for 70% of US petroleum consumption. The transition to electricity as a transportation fuel will create a new load for electricity generation. In support of a recent US Department of Energy funded activity that analyzed a future generation scenario with high renewable energy technology contributions, a set of regional hourly load profiles for electrified vehicles were developed for the 2010 to 2050 timeframe. These load profiles with their underlying assumptions will be presented in this paper. The transportation electrical energy was determined using regional population forecast data, historical vehicle per capita data, and market penetration growth functions to determine the number of plug-in electric vehicles (PEVs) in each analysis region. Two market saturation scenarios of 30% of sales and 50% of sales of PEVs consuming on average {approx}6 kWh per day were considered. Results were generated for 3109 counties and were consolidated to 134 Power Control Areas (PCA) for the use NREL's's regional generation planning analysis tool ReEDS. PEV aggregate load profiles from previous work were combined with vehicle population data to generate hourly loads on a regional basis. A transition from consumer-controlled charging toward utility-controlled charging was assumed such that by 2050 approximately 45% of the transportation energy demands could be delivered across 4 daily time slices under optimal control from the utility perspective. No other literature has addressed the potential flexibility in energy delivery to electric vehicles in connection with a regional power generation study. This electrified transportation analysis resulted in an estimate for both the flexible load and fixed load shapes on a regional basis that may evolve under two PEV market penetration scenarios. EVS25 Copyright.

  7. The effects of shockwave profile shape and shock obliquity on spallation : studies of kinetics and stress state effects on damage evolution

    SciTech Connect (OSTI)

    Gray, George T., III [Los Alamos National Laboratory; Hull, Larry M [Los Alamos National Laboratory; Faulkner, J R [Los Alamos National Laboratory; Briggs, M E [Los Alamos National Laboratory; Cerreta, E K [Los Alamos National Laboratory; Addessio, F L [Los Alamos National Laboratory; Bourne, N K [AWE. ALDERMASTON UK

    2009-06-22T23:59:59.000Z

    Shock-loading of a material in contact with a high explosive (HE) experiences a 'Taylor wave' (triangular wave) loading profile in contrast to the square-wave loading profile imparted via the impact of a flyer plate. Detailed metallographic and mlcrotextural analysis of the damage evolution in spalled Cu samples as a function of square/triangle and sweeping detonation-wave loading is presented.

  8. Load responsive hydrodynamic bearing

    DOE Patents [OSTI]

    Kalsi, Manmohan S. (Houston, TX); Somogyi, Dezso (Sugar Land, TX); Dietle, Lannie L. (Stafford, TX)

    2002-01-01T23:59:59.000Z

    A load responsive hydrodynamic bearing is provided in the form of a thrust bearing or journal bearing for supporting, guiding and lubricating a relatively rotatable member to minimize wear thereof responsive to relative rotation under severe load. In the space between spaced relatively rotatable members and in the presence of a liquid or grease lubricant, one or more continuous ring shaped integral generally circular bearing bodies each define at least one dynamic surface and a plurality of support regions. Each of the support regions defines a static surface which is oriented in generally opposed relation with the dynamic surface for contact with one of the relatively rotatable members. A plurality of flexing regions are defined by the generally circular body of the bearing and are integral with and located between adjacent support regions. Each of the flexing regions has a first beam-like element being connected by an integral flexible hinge with one of the support regions and a second beam-like element having an integral flexible hinge connection with an adjacent support region. A least one local weakening geometry of the flexing region is located intermediate the first and second beam-like elements. In response to application of load from one of the relatively rotatable elements to the bearing, the beam-like elements and the local weakening geometry become flexed, causing the dynamic surface to deform and establish a hydrodynamic geometry for wedging lubricant into the dynamic interface.

  9. The International Mass Loading Service

    E-Print Network [OSTI]

    Petrov, Leonid

    2015-01-01T23:59:59.000Z

    The International Mass Loading Service computes four loadings: a) atmospheric pressure loading; b) land water storage loading; c) oceanic tidal loading; and d) non-tidal oceanic loading. The service provides to users the mass loading time series in three forms: 1) pre-computed time series for a list of 849 space geodesy stations; 2) pre-computed time series on the global 1deg x 1deg grid; and 3) on-demand Internet service for a list of stations and a time range specified by the user. The loading displacements are provided for the time period from 1979.01.01 through present, updated on an hourly basis, and have latencies 8-20 hours.

  10. Accelerator beam profile analyzer

    DOE Patents [OSTI]

    Godel, Julius B. (Bayport, NY); Guillaume, Marcel (Grivegnee, BE); Lambrecht, Richard M. (East Quogue, NY); Withnell, Ronald (East Setauket, NY)

    1976-01-01T23:59:59.000Z

    A beam profile analyzer employing sector or quadrant plates each servo controlled to outline the edge of a beam.

  11. Influence Of Lateral Load Distributions On Pushover Analysis Effectiveness

    SciTech Connect (OSTI)

    Colajanni, P.; Potenzone, B. [Dipartimento di Ingegneria Civile, Universita di Messina, Contrada Di Dio, S. Agata, 98166 Messina (Italy)

    2008-07-08T23:59:59.000Z

    The effectiveness of two simple load distributions for pushover analysis recently proposed by the authors is investigated through a comparative study, involving static and dynamic analyses of seismic response of eccentrically braced frames. It is shown that in the upper floors only multimodal pushover procedures provide results close to the dynamic profile, while the proposed load patterns are always conservative in the lower floors. They over-estimate the seismic response less than the uniform distribution, representing a reliable alternative to the uniform or more sophisticated adaptive procedures proposed by seismic codes.

  12. Multidimensional spectral load balancing

    SciTech Connect (OSTI)

    Hendrickson, B.; Leland, R.

    1993-01-01T23:59:59.000Z

    We describe an algorithm for the static load balancing of scientific computations that generalizes and improves upon spectral bisection. Through a novel use of multiple eigenvectors, our new spectral algorithm can divide a computation into 4 or 8 pieces at once. These multidimensional spectral partitioning algorithms generate balanced partitions that have lower communication overhead and are less expensive to compute than those produced by spectral bisection. In addition, they automatically work to minimize message contention on a hypercube or mesh architecture. These spectral partitions are further improved by a multidimensional generalization of the Kernighan-Lin graph partitioning algorithm. Results on several computational grids are given and compared with other popular methods.

  13. On the Linear Profile of Indices for the Prediction of Saddle-node and Limit-induced Bifurcation

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    1 On the Linear Profile of Indices for the Prediction of Saddle-node and Limit-induced Bifurcation profiles presented by certain classes of bifurcation indices with respect to the variation of the loading to saddle-node and some types of limit-induced bifurcations, given their special profiles. Thus

  14. Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Vanessa Frias-Martinez Salvatore J. Stolfo

    E-Print Network [OSTI]

    Yang, Junfeng

    , redundancy tends to over- load the host since the computation of profiles takes away computing cycles fromBehavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors Vanessa Frias profile. Unfortunately, the majority of AD sensors suffer from high volumes of false alerts either

  15. COMMUNITY PROFILE Greenland, New Hampshire

    E-Print Network [OSTI]

    New Hampshire, University of

    GREENLAND COMMUNITY PROFILE REPORT Greenland, New Hampshire February 3 & 4, 2006 #12;TABLE......................................................................................................................................3 Creating a Community Profile in Greenland

  16. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    components such as power sources, loads,  transformers and components such as power sources, loads,  transformers and 

  17. Notes 04. Static load performance of plain journal bearings

    E-Print Network [OSTI]

    San Andres, Luis

    2010-01-01T23:59:59.000Z

    .s/m 2 ] ? 2 4 LR L WC ? ? ? ?? = ?? ?? Modified Sommerfeld number (short length bearing) ? Journal angular speed (rad/s) NOTES 4. STATIC LOAD PERFORMANCE OF PLAIN JOURNAL BEARINGS. Dr. Luis San Andr?s ? 2010 2 For incompressible...) pressure profiles for a short length journal bearing with the following dimensions and operating characteristics. Length L=50 mm; clearance, C=100 ?m, rotational speed at 3,000 rpm (?=314 rad/s), and lubricant viscosity ?=19 centipoise (19 10 -3 N...

  18. Demand Response: Load Management Programs

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

    CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs... V. Residential Discussion Points Demand Response Definition of load management per energy efficiency rule 25.181: ? Load control activities that result in a reduction in peak demand, or a shifting of energy usage from a peak to an off...

  19. Dynamic load balancing of applications

    DOE Patents [OSTI]

    Wheat, S.R.

    1997-05-13T23:59:59.000Z

    An application-level method for dynamically maintaining global load balance on a parallel computer, particularly on massively parallel MIMD computers is disclosed. Global load balancing is achieved by overlapping neighborhoods of processors, where each neighborhood performs local load balancing. The method supports a large class of finite element and finite difference based applications and provides an automatic element management system to which applications are easily integrated. 13 figs.

  20. Texas Crop Profile: Onions

    E-Print Network [OSTI]

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

    2000-04-12T23:59:59.000Z

    This profile of onion production in Texas gives an overview of basic commodity information; discusses insect, disease and weed pests; and covers cultural and chemical control methods....

  1. Sandia National Laboratories: hydrodynamic loading

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

    loading High-Fidelity Hydrostructural Analysis of Ocean Renewable Power Company's (ORPC's) TidGen Turbine On March 19, 2014, in Computational Modeling & Simulation, Energy, News,...

  2. High-Power Rf Load

    DOE Patents [OSTI]

    Tantawi, Sami G. (San Mateo, CA); Vlieks, Arnold E. (Livermore, CA)

    1998-09-01T23:59:59.000Z

    A compact high-power RF load comprises a series of very low Q resonators, or chokes [16], in a circular waveguide [10]. The sequence of chokes absorb the RF power gradually in a short distance while keeping the bandwidth relatively wide. A polarizer [12] at the input end of the load is provided to convert incoming TE.sub.10 mode signals to circularly polarized TE.sub.11 mode signals. Because the load operates in the circularly polarized mode, the energy is uniformly and efficiently absorbed and the load is more compact than a rectangular load. Using these techniques, a load having a bandwidth of 500 MHz can be produced with an average power dissipation level of 1.5 kW at X-band, and a peak power dissipation of 100 MW. The load can be made from common lossy materials, such as stainless steel, and is less than 15 cm in length. These techniques can also produce loads for use as an alternative to ordinary waveguide loads in small and medium RF accelerators, in radar systems, and in other microwave applications. The design is easily scalable to other RF frequencies and adaptable to the use of other lossy materials.

  3. Model for Aggregated Water Heater Load Using Dynamic Bayesian Networks

    SciTech Connect (OSTI)

    Vlachopoulou, Maria; Chin, George; Fuller, Jason C.; Lu, Shuai; Kalsi, Karanjit

    2012-07-19T23:59:59.000Z

    The transition to the new generation power grid, or “smart grid”, requires novel ways of using and analyzing data collected from the grid infrastructure. Fundamental functionalities like demand response (DR), that the smart grid needs, rely heavily on the ability of the energy providers and distributors to forecast the load behavior of appliances under different DR strategies. This paper presents a new model of aggregated water heater load, based on dynamic Bayesian networks (DBNs). The model has been validated against simulated data from an open source distribution simulation software (GridLAB-D). The results presented in this paper demonstrate that the DBN model accurately tracks the load profile curves of aggregated water heaters under different testing scenarios.

  4. Investigation of residential central air conditioning load shapes in NEMS

    SciTech Connect (OSTI)

    Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

    2002-05-01T23:59:59.000Z

    This memo explains what Berkeley Lab has learned about how the residential central air-conditioning (CAC) end use is represented in the National Energy Modeling System (NEMS). NEMS is an energy model maintained by the Energy Information Administration (EIA) that is routinely used in analysis of energy efficiency standards for residential appliances. As part of analyzing utility and environmental impacts related to the federal rulemaking for residential CAC, lower-than-expected peak utility results prompted Berkeley Lab to investigate the input load shapes that characterize the peaky CAC end use and the submodule that treats load demand response. Investigations enabled a through understanding of the methodology by which hourly load profiles are input to the model and how the model is structured to respond to peak demand. Notably, it was discovered that NEMS was using an October-peaking load shape to represent residential space cooling, which suppressed peak effects to levels lower than expected. An apparent scaling down of the annual load within the load-demand submodule was found, another significant suppressor of the peak impacts. EIA promptly responded to Berkeley Lab's discoveries by updating numerous load shapes for the AEO2002 version of NEMS; EIA is still studying the scaling issue. As a result of this work, it was concluded that Berkeley Lab's customary end-use decrement approach was the most defensible way for Berkeley Lab to perform the recent CAC utility impact analysis. This approach was applied in conjunction with the updated AEO2002 load shapes to perform last year's published rulemaking analysis. Berkeley Lab experimented with several alternative approaches, including modifying the CAC efficiency level, but determined that these did not sufficiently improve the robustness of the method or results to warrant their implementation. Work in this area will continue in preparation for upcoming rulemakings for the other peak coincident end uses, commercial air conditioning and distribution transformers.

  5. Development of a Detailed Simulation Model to Support Evaluation of Water Load Shifting Across a Range of Use Patterns

    E-Print Network [OSTI]

    Samuel, A.; Tuohy, P.

    2014-01-01T23:59:59.000Z

    ). DHWcalc: Program to generate domestic hot water profiles with statistical means for user defined conditions. Proc. ISES Solar World Congress 2005, Orlando, USA. Lorenzetti, D. M. 2002. Computational Aspects of Nodal Multizone Airflow Systems... Optimum demand matched Weather: Based on monitored conditions Renewables: Wind Solar thermal Bio-mass Loads available for shifting: Hot water tank Space heating Plug loads Refrigeration Laundry Load shifting (Orchestration) function: input power...

  6. LOAD FORECASTING Eugene A. Feinberg

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    , regression, artificial intelligence. 1. Introduction Accurate models for electric power load forecasting to make important decisions including decisions on pur- chasing and generating electric power, load for different operations within a utility company. The natures 269 #12;270 APPLIED MATHEMATICS FOR POWER SYSTEMS

  7. Name: ____________________ Stream Profile Lab 1

    E-Print Network [OSTI]

    Name: ____________________ Stream Profile Lab 1 LAB 4. Stream Profiles and Mass Balance: Supply vs hillslope diffusion experiments. We will now examine a slightly more complicated profile-evolution model on longitudinal channel profile shapes. The Questions: I. Why do streams generally have concave profiles

  8. The Effect of Profile Choice and Profile Gathering Methods on Profile-Driven

    E-Print Network [OSTI]

    The Effect of Profile Choice and Profile Gathering Methods on Profile-Driven Optimization Systems;Keywords: Compilers, Optimization, Performance of systems, Modeling tech- niques #12;Abstract Profile-time optimizer. In this work, we ana- lyze several important aspects of profile-driven optimization. We examine

  9. LANL Data Profile

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

    Data Profile 2012-2013 Total: 10,407 Quick Facts FY2013 Operating Budget ..... 1.95 billion Operating costs 54% NNSA Weapons Programs 12% Work for other agencies 10%...

  10. Electrical and Production Load Factors 

    E-Print Network [OSTI]

    Sen, Tapajyoti

    2010-07-14T23:59:59.000Z

    Load factors are an important simplification of electrical energy use data and depend on the ratio of average demand to peak demand. Based on operating hours of a facility they serve as an important benchmarking tool for ...

  11. Sandia Wind Turbine Loads Database

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

    The Sandia Wind Turbine Loads Database is divided into six files, each corresponding to approximately 16 years of simulation. The files are text files with data in columnar format. The 424MB zipped file containing six data files can be downloaded by the public. The files simulate 10-minute maximum loads for the NREL 5MW wind turbine. The details of the loads simulations can be found in the paper: “Decades of Wind Turbine Loads Simulations”, M. Barone, J. Paquette, B. Resor, and L. Manuel, AIAA2012-1288 (3.69MB PDF). Note that the site-average wind speed is 10 m/s (class I-B), not the 8.5 m/s reported in the paper.

  12. Demand Response: Load Management Programs 

    E-Print Network [OSTI]

    Simon, J.

    2012-01-01T23:59:59.000Z

    CenterPoint Load Management Programs CATEE Conference October, 2012 Agenda Outline I. General Demand Response Definition II. General Demand Response Program Rules III. CenterPoint Commercial Program IV. CenterPoint Residential Programs...

  13. Electrical and Production Load Factors

    E-Print Network [OSTI]

    Sen, Tapajyoti

    2010-07-14T23:59:59.000Z

    Load factors are an important simplification of electrical energy use data and depend on the ratio of average demand to peak demand. Based on operating hours of a facility they serve as an important benchmarking tool for the industrial sector...

  14. Building load control and optimization

    E-Print Network [OSTI]

    Xing, Hai-Yun Helen, 1976-

    2004-01-01T23:59:59.000Z

    Researchers and practitioners have proposed a variety of solutions to reduce electricity consumption and curtail peak demand. This research focuses on load control by improving the operations in existing building HVAC ...

  15. Advanced nonintrusive load monitoring system

    E-Print Network [OSTI]

    Wichakool, Warit, 1977-

    2011-01-01T23:59:59.000Z

    There is a need for flexible, inexpensive metering technologies that can be deployed in many different monitoring scenarios. Individual loads may be expected to compute information about their power consumption. Utility ...

  16. Loading and conjugating cavity biostructures

    DOE Patents [OSTI]

    Hainfeld, J.F.

    1997-11-25T23:59:59.000Z

    Methods for the preparation and use of a biological delivery system are disclosed. The method of preparation includes the loading of a non-biological material into a biostructure having a load-bearing structure. The method also includes the removal of some of the biostructure`s contents and the loading of a non-biological material into the biostructure. The biostructure is biologically compatible with the host, and preferably is derived from the host, the host`s species or a related species. The loaded biostructure is used directly, or it can be targeted to specific cells, tissues and/or organs within a host. The targeted biostructure can be used to deliver the non-biological material to a specified tissue, organ or cell within a host for diagnostic, therapeutic or other purposes. 11 figs.

  17. Loading and conjugating cavity biostructures

    DOE Patents [OSTI]

    Hainfeld, J.F.

    1995-08-22T23:59:59.000Z

    Methods for the preparation and use of a biological delivery system are disclosed. The method of preparation includes the loading of a non-biological material into a biostructure having a load-bearing structure. The method also includes the removal of some of the biostructure`s contents and the loading of a non-biological material into the biostructure. The biostructure is biologically compatible with the host, and preferably is derived from the host, the host`s species or a related species. The loaded biostructure is used directly, or it can be targeted to specific cells, tissues and/or organs within a host. The targeted biostructure can be used to deliver the non-biological material to a specified tissue, organ or cell within a host for diagnostic, therapeutic or other purposes. 11 figs.

  18. Shock compression profiles in ceramics

    SciTech Connect (OSTI)

    Grady, D.E.; Moody, R.L.

    1996-03-01T23:59:59.000Z

    An investigation of the shock compression properties of high-strength ceramics has been performed using controlled planar impact techniques. In a typical experimental configuration, a ceramic target disc is held stationary, and it is struck by plates of either a similar ceramic or by plates of a well-characterized metal. All tests were performed using either a single-stage propellant gun or a two-stage light-gas gun. Particle velocity histories were measured with laser velocity interferometry (VISAR) at the interface between the back of the target ceramic and a calibrated VISAR window material. Peak impact stresses achieved in these experiments range from about 3 to 70 GPa. Ceramics tested under shock impact loading include: Al{sub 2}O{sub 3}, AlN, B{sub 4}C, SiC, Si{sub 3}N{sub 4}, TiB{sub 2}, WC and ZrO{sub 2}. This report compiles the VISAR wave profiles and experimental impact parameters within a database-useful for response model development, computational model validation studies, and independent assessment of the physics of dynamic deformation on high-strength, brittle solids.

  19. To appear at the Seventh International Symposium on High Performance Computer Architecture (HPCA-7), January 19-24, 2001 Aggressive program optimization requires accurate profile

    E-Print Network [OSTI]

    Sohi, Guri S.

    the proposed design through a detailed evaluation of load value profiling. Our implementation quickly), January 19-24, 2001 Abstract Aggressive program optimization requires accurate profile information, but such accuracy requires many samples to be collected. We explore a novel profiling architecture that reduces

  20. Decentralized customerlevel under frequency load shedding in...

    Open Energy Info (EERE)

    enables the management of large groups of distributed loads under a single innovative control schemes to use the flexibility of electrical loads for power system purposes....

  1. Sandia Energy - Sandia Wind Turbine Loads Database

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

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  2. Cooling load design tool for UFAD systems.

    E-Print Network [OSTI]

    Bauman, Fred; Schiavon, Stefano; Webster, Tom; Lee, Kwang Ho

    2010-01-01T23:59:59.000Z

    De- velopment of a Simplified Cooling Load Design Tool forand C. Benedek. 2007. “Cooling airflow design calculationscalculation method for design cooling loads in underfloor

  3. Laser Driven Dynamic Loading of Condensed Matter

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

    Laser Driven Dynamic Loading of Condensed Matter Laser Driven Dynamic Loading of Condensed Matter Advanced diagnostics of experiments covering many orders of magnitude in strain...

  4. PROFILE SHAPE PARAMETERIZATION OF JET ELECTRON TEMPERATURE AND DENSITY PROFILES

    E-Print Network [OSTI]

    PROFILE SHAPE PARAMETERIZATION OF JET ELECTRON TEMPERATURE AND DENSITY PROFILES Beatrix Schunke JET Mercer St., New York NY 10012-1185 The temperature and density profiles of the Joint European Torus to determine which terms in the log-linear model to include. The density and temperature profiles

  5. PROFILE SHAPE PARAMETERIZATION OF JET ELECTRON TEMPERATURE AND DENSITY PROFILES

    E-Print Network [OSTI]

    PROFILE SHAPE PARAMETERIZATION OF JET ELECTRON TEMPERATURE AND DENSITY PROFILES Beatrix Schunke JET Mercer St., New York NY 10012­1185 Abstract The temperature and density profiles of the Joint European are used to determine which terms in the log­linear model to include. The density and temperature profiles

  6. University Profile University of Canterbury

    E-Print Network [OSTI]

    Hickman, Mark

    University Profile 2007­2009 #12;University of Canterbury PROFILE 2007 - 2009 Submitted to the Tertiary Education Commission, 31 October, 2006 #12;University of Canterbury Profile 2007-2009 Page 2 of 64 #12;Contents Page Profile Purpose and Structure 4 Part A: Strategic Direction 5 Part B: Key Strategic

  7. Connexxus Traveler Profile Arranger Assignment

    E-Print Network [OSTI]

    Tsien, Roger Y.

    Connexxus Traveler Profile Arranger Assignment Travelers have the option of submitting an email to UCTravel@ucop.edu authorizing UC Travel Management Services to access the traveler's profile and assign profile information. Specify permission options: Can Book Travel Can Access Traveler Profile Can Book

  8. Beam characteristics of the new DESY H{sup -} source and investigations of the plasma load

    SciTech Connect (OSTI)

    Peters, J.; Sahling, H.-H.; Hansen, I. [Deutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg (Germany)

    2008-02-15T23:59:59.000Z

    The new DESY H{sup -} source with a completely insulated plasma has been thoroughly investigated with emittance and beam profile measurements. The beam profile was measured with a multi-Faraday cup, and for the emittance measurements a slit and grid device was used. More than 200 beam profile and emittance measurements for x as well as y were done. Their dependences on rf power, filter field strength, and gas pressure were measured. The plasma load was investigated with a substitution method. It was possible to determine the real and imaginary parts which is seen by the rf antenna.

  9. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary's energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  10. Country profile: Hungary

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    Country Profile: Hungary has been prepared as a background document for use by US Government agencies and US businesses interested in becoming involved with the new democracies of Eastern Europe as they pursue sustainable economic development. The focus of the Profile is on energy and highlights information on Hungary`s energy supply, demand, and utilization. It identifies patterns of energy usage in the important economic sectors, especially industry, and provides a preliminary assessment for opportunities to improve efficiencies in energy production, distribution and use by introducing more efficient technologies. The use of more efficient technologies would have the added benefit of reducing the environmental impact which, although is not the focus of the report, is an issue that effects energy choices. The Profile also presents considerable economic information, primarily in the context of how economic restructuring may affect energy supply, demand, and the introduction of more efficient technologies.

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013Montana Electricity Profile

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvania Electricity Profile

  13. Assessment of Industrial Load for Demand Response across Western Interconnect

    SciTech Connect (OSTI)

    Alkadi, Nasr E [ORNL; Starke, Michael R [ORNL; Ma, Ookie [United States Department of Energy (DOE), Office of Efficiency and Renewable Energy (EERE)

    2013-11-01T23:59:59.000Z

    Demand response (DR) has the ability to both increase power grid reliability and potentially reduce operating system costs. Understanding the role of demand response in grid modeling has been difficult due to complex nature of the load characteristics compared to the modeled generation and the variation in load types. This is particularly true of industrial loads, where hundreds of different industries exist with varying availability for demand response. We present a framework considering industrial loads for the development of availability profiles that can provide more regional understanding and can be inserted into analysis software for further study. The developed framework utilizes a number of different informational resources, algorithms, and real-world measurements to perform a bottom-up approach in the development of a new database with representation of the potential demand response resource in the industrial sector across the U.S. This tool houses statistical values of energy and demand response (DR) potential by industrial plant and geospatially locates the information for aggregation for different territories without proprietary information. This report will discuss this framework and the analyzed quantities of demand response for Western Interconnect (WI) in support of evaluation of the cost production modeling with power grid modeling efforts of demand response.

  14. MODELING AND CONTROL OF THERMOSTATICALLY CONTROLLED LOADS

    E-Print Network [OSTI]

    Hiskens, Ian A.

    controlled loads (TCLs) has demonstrated that such load following is feasible, but analyt- ical models) is well matched to the role of load following. Re- search into the behavior of TCLs began with the work was then employed in a minimum variance control law to demonstrate the load following capability of a population

  15. Flow Duration Curve Load Duration Curve

    E-Print Network [OSTI]

    #12;Flow Duration Curve Load Duration Curve #12;1. Develop Flow Duration Curve 2. Estimate load given flow and concentration data--select appropriate conversion factors 3. Develop Load Duration Curve 4. Plot observed data with Load Duration Curve #12;What are they? How do you make one? #12;Describes

  16. Flow Duration Curve Load Duration Curve

    E-Print Network [OSTI]

    Flow Duration Curve Load Duration Curve 1. Develop Flow Duration Curve 2. Estimate load given flow and concentration data--select appropriate conversion factors 3. Develop Load Duration Curve 4. Plot observed data with Load Duration Curve What are they? How do you make one? Describes the percent of time a flow rate

  17. Low profile thermite igniter

    DOE Patents [OSTI]

    Halcomb, Danny L. (Camden, OH); Mohler, Jonathan H. (Spring Valley, OH)

    1991-03-05T23:59:59.000Z

    A thermite igniter/heat source comprising a housing, high-density thermite, and low-density thermite. The housing has a relatively low profile and can focus energy by means of a torch-like ejection of hot reaction products and is externally ignitable.

  18. Refinery Energy Profiling Procedure

    E-Print Network [OSTI]

    Maier, R. W.

    1981-01-01T23:59:59.000Z

    This paper discusses a four-step procedure developed with support from the U.S. Department of Energy for preparing energy profiles for a refinery, for a single unit, or for an individual piece of equipment. The four steps are preparation, data...

  19. Upper Atmospheric Density Profiles

    E-Print Network [OSTI]

    Withers, Paul

    · Uncertainties in aerodynamics, problems with signals from shaking solar panel, rotation of instrument about · Change in latitude per unit change in longitude along profile set by orbit inclination and latitude (not engineering) instrument, very high sensitivity, unseen part of 11-yr solar cycle · Current science

  20. Refinery Energy Profiling Procedure 

    E-Print Network [OSTI]

    Maier, R. W.

    1981-01-01T23:59:59.000Z

    This paper discusses a four-step procedure developed with support from the U.S. Department of Energy for preparing energy profiles for a refinery, for a single unit, or for an individual piece of equipment. The four steps are preparation, data...

  1. Cyclic Plasticity under Shock Loading in an HCP Metal

    SciTech Connect (OSTI)

    Prime, Michael B. [Los Alamos National Laboratory; Hunter, Abigail [Los Alamos National Laboratory; Canfield, Thomas R. [Los Alamos National Laboratory; Adams, Chris D. [Los Alamos National Laboratory

    2012-06-08T23:59:59.000Z

    Plate impact experiments with pressures from 2 to 20 GPa, including one shock-partial release-reshock experiment, were performed on vacuum hot-pressed S-200F Beryllium. This hexagonal close-packed (HCP) metal shows significant plasticity effects in such conditions. The experiments were modeled in a Lagrangian hydrocode using an experimentally calibrated Preston-Tonks-Wallace (PTW) constitutive model. By using the shock data to constrain a high rate portion of PTW, the model was able to generally match plasticity effects on the measured wave profile (surface velocity) during the shock loading, but not unloading. A backstress-based cyclic plasticity model to capture the quasi-elastic release (Bauschinger-type effect) was explored in order to match the unloading and reloading portions of the measured wave profiles. A comparison is made with other approaches in the literature to capture the cyclic plasticity in shock conditions.

  2. PRB rail loadings shatter record

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2008-09-15T23:59:59.000Z

    Rail transport of coal in the Powder River Basin has expanded, with a record 2,197 trains loaded in a month. Arch Coal's Thunder basin mining complex has expanded by literally bridging the joint line railway. The dry fork mine has also celebrated its safety achievements. 4 photos.

  3. OpenEI | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPowerKaitianOstsee Wind AG Jump to:OhioDataOpenEI

  4. OpenEI Community - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green Fuelsper CategoryPresidential Memorandum

  5. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, Richard D. (West Richland, WA)

    1983-01-01T23:59:59.000Z

    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.

  6. Temperature profile detector

    DOE Patents [OSTI]

    Tokarz, R.D.

    1983-10-11T23:59:59.000Z

    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.

  7. Independent review of estimated load reductions for PJM's small customer load response pilot project

    E-Print Network [OSTI]

    Heffner, G.; Moezzi, M.; Goldman, C.

    2004-01-01T23:59:59.000Z

    of Estimated Load Reductions for PJM’s Small Customer Loadof Estimated Load Reductions for PJM’s Small Customer LoadResponse Pilot Project Prepared for PJM Interconnection, LLC

  8. Price-Responsive Load (PRL) Program - Framing Paper No.1

    SciTech Connect (OSTI)

    Goldman, Charles A.

    2002-03-01T23:59:59.000Z

    By definition, effective and efficient competitive markets need a supply side and a demand side. One criticism of electric restructuring efforts in many states is that most of the attention has been focused on the supply side, in a market focused on the short term. In general, the demand side of the market has been under-addressed. The objective of the New England Demand Response Initiative (NEDRI) is to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI aims to maximize the capability of demand response to compete in the wholesale market and to improve the economic efficiency and environmental profile of the electric sector. To those ends, NEDRI is focusing its efforts in four interrelated areas: (1) ISO-level reliability programs, (2) Market-based price-responsive load programs, (3) Demand response at retail through pricing, rate design, and advanced metering, and (4) End-use energy efficiency resources as demand response. The fourth area, energy efficiency, is the subject of this framing paper. Energy efficiency reduces the energy used by specific end-use devices and systems, typically without affecting the level of service and without loss of amenity. Energy savings and peak load reductions are achieved by substituting technically more advanced equipment, processes, or operational strategies to produce the same or an improved level of end-use service with less electricity. In contrast, load management programs lower peak demand during specific, limited time periods by either (1) influencing the timing of energy use by shifting load to another time period, or (2) reducing the level of energy use by curtailing or interrupting the load, typically with some loss of service or amenity.

  9. Surface profiling interferometer

    DOE Patents [OSTI]

    Takacs, Peter Z. (P.O. Box 385, Upton, NY 11973); Qian, Shi-Nan (Hefei Synchrotron Radiation Laboratory, University of Science and, Hefei, Anhui, CN)

    1989-01-01T23:59:59.000Z

    The design of a long-trace surface profiler for the non-contact measurement of surface profile, slope error and curvature on cylindrical synchrotron radiation (SR) mirrors. The optical system is based upon the concept of a pencil-beam interferometer with an inherent large depth-of-field. The key feature of the optical system is the zero-path-difference beam splitter, which separates the laser beam into two colinear, variable-separation probe beams. A linear array detector is used to record the interference fringe in the image, and analysis of the fringe location as a function of scan position allows one to reconstruct the surface profile. The optical head is mounted on an air bearing slide with the capability to measure long aspheric optics, typical of those encountered in SR applications. A novel feature of the optical system is the use of a transverse "outrigger" beam which provides information on the relative alignment of the scan axis to the cylinder optic symmetry axis.

  10. Write an informative profile headline.

    E-Print Network [OSTI]

    Bordenstein, Seth

    Write an informative profile headline. Your headline is a short, memorable professional slogan. For example, "Honors student seeking marketing position." Check out the profiles of students and recent alumni (your profile will be 7x more likely to be viewed) of you alone, professionally dressed. No party shots

  11. A Historical Profile of the Higgs Boson

    E-Print Network [OSTI]

    Ellis, John

    2013-01-01T23:59:59.000Z

    Nanopoulos, A phenomenological profile of the Higgs boson,January 2012 A Historical Profile of the Higgs Boson Johnits phenomenolog- ical profile [12]. At the time, the Higgs

  12. Santa Cruz Harbor Commercial Fishing Community Profile

    E-Print Network [OSTI]

    Pomeroy, Caroline

    2008-01-01T23:59:59.000Z

    2002). Socio-economic profile of the California wetfishCommercial Fishing Community Profile, July 2008 Mangelsdorf,Commercial Fishing Community Profile, July 2008 Santa Cruz

  13. Spinning Reserve From Responsive Loads

    SciTech Connect (OSTI)

    Kirby, B.J.

    2003-04-08T23:59:59.000Z

    Responsive load is the most underutilized reliability resource available to the power system today. It is currently not used at all to provide spinning reserve. Historically there were good reasons for this, but recent technological advances in communications and controls have provided new capabilities and eliminated many of the old obstacles. North American Electric Reliability Council (NERC), Federal Energy Regulatory Commission (FERC), Northeast Power Coordinating Council (NPCC), New York State Reliability Council (NYSRC), and New York Independent System Operator (NYISO) rules are beginning to recognize these changes and are starting to encourage responsive load provision of reliability services. The Carrier ComfortChoice responsive thermostats provide an example of these technological advances. This is a technology aimed at reducing summer peak demand through central control of residential and small commercial air-conditioning loads. It is being utilized by Long Island Power Authority (LIPA), Consolidated Edison (ConEd), Southern California Edison (SCE), and San Diego Gas and Electric (SDG&E). The technology is capable of delivering even greater response in the faster spinning reserve time frame (while still providing peak reduction). Analysis of demand reduction testing results from LIPA during the summer of 2002 provides evidence to back up this claim. It also demonstrates that loads are different from generators and that the conventional wisdom, which advocates for starting with large loads as better ancillary service providers, is flawed. The tempting approach of incrementally adapting ancillary service requirements, which were established when generators were the only available resources, will not work. While it is easier for most generators to provide replacement power and non-spinning reserve (the slower response services) than it is to supply spinning reserve (the fastest service), the opposite is true for many loads. Also, there is more financial reward for supplying spinning reserve than for supplying the other reserve services as a result of the higher spinning reserve prices. The LIPAedge program (LIPA's demand reduction program using Carrier ComfortChoice thermostats) provides an opportunity to test the use of responsive load for spinning reserve. With potentially 75 MW of spinning reserve capability already installed, this test program can also make an important contribution to the capacity needs of Long Island during the summer of 2003. Testing could also be done at ConEd ({approx}30 MW), SCE ({approx}15 MW), and/or SDG&E ({approx}15 MW). This paper is divided into six chapters. Chapter 2 discusses the contingency reserve ancillary services, their functions in supporting power system reliability, and their technical requirements. It also discusses the policy and tariff requirements and attempts to distinguish between ones that are genuinely necessary and ones that are artifacts of the technologies that were historically used to provide the services. Chapter 3 discusses how responsive load could provide contingency reserves (especially spinning reserve) for the power system. Chapter 4 specifically discusses the Carrier ComfortChoice responsive thermostat technology, the LIPAedge experience with that technology, and how the technology could be used to supply spinning reserve. Chapter 5 discusses a number of unresolved issues and suggests areas for further research. Chapter 6 offers conclusions and recommendations.

  14. Exploration And Discovery In Yellowstone Lake- Results From High...

    Open Energy Info (EERE)

    Discovery In Yellowstone Lake- Results From High-Resolution Sonar Imaging, Seismic Reflection Profiling, And Submersible Studies Jump to: navigation, search OpenEI Reference...

  15. PASSIVE DETECTION OF VEHICLE LOADING

    SciTech Connect (OSTI)

    Garrett, A.

    2012-01-03T23:59:59.000Z

    The Digital Imaging and Remote Sensing Laboratory (DIRS) at the Rochester Institute of Technology, along with the Savannah River National Laboratory is investigating passive methods to quantify vehicle loading. The research described in this paper investigates multiple vehicle indicators including brake temperature, tire temperature, engine temperature, acceleration and deceleration rates, engine acoustics, suspension response, tire deformation and vibrational response. Our investigation into these variables includes building and implementing a sensing system for data collection as well as multiple full-scale vehicle tests. The sensing system includes; infrared video cameras, triaxial accelerometers, microphones, video cameras and thermocouples. The full scale testing includes both a medium size dump truck and a tractor-trailer truck on closed courses with loads spanning the full range of the vehicle's capacity. Statistical analysis of the collected data is used to determine the effectiveness of each of the indicators for characterizing the weight of a vehicle. The final sensing system will monitor multiple load indicators and combine the results to achieve a more accurate measurement than any of the indicators could provide alone.

  16. System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads

    DOE Patents [OSTI]

    Lu, Bin; Yang, Yi; Sharma, Santosh K; Zambare, Prachi; Madane, Mayura A

    2014-12-23T23:59:59.000Z

    A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.

  17. 1994 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-12-01T23:59:59.000Z

    The 1994 Pacific Northwest Loads and Resources Study presented herein establishes a picture of how the agency is positioned today in its loads and resources balance. It is a snapshot of expected resource operation, contractual obligations, and rights. This study does not attempt to present or analyze future conservation or generation resource scenarios. What it does provide are base case assumptions from which scenarios encompassing a wide range of uncertainties about BPA`s future may be evaluated. The Loads and Resources Study is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources and (2) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates the 1993 Pacific Northwest Loads and Resources Study, published in December 1993. In this loads and resources study, resource availability is compared with a range of forecasted electricity consumption. The Federal system and regional analyses for medium load forecast are presented.

  18. A Novel Approach to Determining Motor Load

    E-Print Network [OSTI]

    Brown, M.

    A NOVEL APPROACH TO DETERMINING MOTOR LOAD by Michael Brown Georgia Tech Research Institute Atlanta, Georgia ABSTRACf Properly sized electric motors are essential if industrial plant efficiency is to be optimized and energy costs... minimized. Because of the difficully in making power measurements on three phase motors, loading is rarely, if ever, checked. A simple indication of motor load can be achieved by measuring operating speed because speed and load are almost linearly...

  19. Communication Load Reduction for Neural Network Implementations

    E-Print Network [OSTI]

    Behnke, Sven

    the total amount of communication load, followed by a placement of partitions onto proces- sors 3]. We

  20. Load Management DSM: Past, Present & Future

    E-Print Network [OSTI]

    Gardner, E.

    1994-01-01T23:59:59.000Z

    . Several current load control programs have discovered that the best FIGURE 6 I marketing method is a "direct mailing" that gets across the message "Load Management will help keep everyone's electrical rates ~ low." The offer of the rebate may catch... thermostat was satisfied or whether the LCR prevented the electrical demand. At the 1993 DA/DSM conference, Scientific-Atlanta introduced the industry's first Load Management Interface &MI) circuit board which fits in a standard load control receiver...

  1. Plug Load Behavioral Change Demonstration Project

    SciTech Connect (OSTI)

    Metzger, I.; Kandt, A.; VanGeet, O.

    2011-08-01T23:59:59.000Z

    This report documents the methods and results of a plug load study of the Environmental Protection Agency's Region 8 Headquarters in Denver, Colorado, conducted by the National Renewable Energy Laboratory. The study quantified the effect of mechanical and behavioral change approaches on plug load energy reduction and identified effective ways to reduce plug load energy. Load reduction approaches included automated energy management systems and behavioral change strategies.

  2. Investigation of sands subjected to dynamic loading

    E-Print Network [OSTI]

    Reeves, Gary Neil

    1967-01-01T23:59:59.000Z

    become apparent that dynamic, or sud- denly applied loads, present a different type of problem to the engineer. Wind loads on tall structures, pile driving, nuclear blasts, and many other familiar loading conditions cannot be de- scribed or handled... an earthquake or nuclear blast. Also under this category of loading is the pulse which would be purposely induced to fail the soil structure for the purpose of excavation or pile driving. As part of a broader research project concerned with pile dri- ving...

  3. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    SciTech Connect (OSTI)

    Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

    2008-11-10T23:59:59.000Z

    Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

  4. State Nuclear Profiles 2010

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard ErrorsSeptemberState Nuclear Profiles 2010

  5. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest Region AboutGeorgia Nuclear Profile 2010

  6. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest Region AboutGeorgia Nuclear Profile

  7. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest Region AboutGeorgia Nuclear ProfileIowa

  8. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest RegionMississippi Nuclear Profile 2010

  9. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest RegionMississippi Nuclear Profile

  10. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest RegionMississippiNorthSouthTexas profile

  11. EIA - State Nuclear Profiles

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877SouthwestWisconsin profile Wisconsin total

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013 Summary

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013 SummaryGeorgia

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013Idaho Electricity

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013Idaho

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013IdahoIndiana

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1. 2013IdahoIndianaIowa

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1.

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1.Kentucky Electricity

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1.Kentucky

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1.KentuckyMaine

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table 1.KentuckyMaineMaryland

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 Table

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 TableMichigan Electricity

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 TableMichigan

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013 TableMichiganMississippi

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile 2013Montana Electricity

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

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  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity Profile

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvania Electricity

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvania ElectricityCarolina

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvania

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvaniaTennessee Electricity

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvaniaTennessee

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvaniaTennesseeUnited States

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvaniaTennesseeUnited

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida Electricity ProfilePennsylvaniaTennesseeUnitedVermont

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida ElectricityWashington Electricity Profile 2013 Table 1.

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida ElectricityWashington Electricity Profile 2013 Table

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida ElectricityWashington Electricity Profile 2013

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0EFlorida ElectricityWashington Electricity Profile 2013Wyoming

  12. Tools for Profiling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances Tips:Harper receivesRecipientProfiling

  13. Properly Evaluating load-following products

    SciTech Connect (OSTI)

    Cavicchi, Joseph; Lemon, Andrew

    2009-01-15T23:59:59.000Z

    The authors briefly survey the jurisdictions where load-following products have been successfully used, examine the characteristics of the load-following products, and explain the shortcomings and inaccurate conclusions of previous analyses. A more thorough analysis reveals that the load-following products fulfill the public policy objectives for which they have been designed and do not adversely impact wholesale electricity markets.

  14. Plutonium Immobilization Can Loading Preliminary Specifications

    SciTech Connect (OSTI)

    Kriikku, E.

    1998-11-25T23:59:59.000Z

    This report discusses the Plutonium Immobilization can loading preliminary equipment specifications and includes a process block diagram, process description, equipment list, preliminary equipment specifications, plan and elevation sketches, and some commercial catalogs. This report identifies loading pucks into cans and backfilling cans with helium as the top priority can loading development areas.

  15. Beam heat load in superconducting wigglers

    E-Print Network [OSTI]

    Casalbuoni, S

    2013-01-01T23:59:59.000Z

    The beam heat load is a fundamental input parameter for the design of superconducting wigglers since it is needed to specify the cooling power. In this presentation I will review the possible beam heat load sources and the measurements of beam heat load performed and planned onto the cold vacuum chambers installed at different synchrotron light sources.

  16. Test profiles for stationary energy storage applications

    SciTech Connect (OSTI)

    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

    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.

  17. A scanning wire beam profile monitor

    SciTech Connect (OSTI)

    Steinbach, Ch.; van Rooij, M.

    1985-10-01T23:59:59.000Z

    The transverse profile of the circulating beam of the CERN PS is obtained from the interaction between the particles and a thin wire rapidly moving through it. The signal from a secondary particles monitor or the secondary emission current of the wire is sampled against the wire position every four beam revolutions in the machine. A stand-alone desk computer performs the real-time control of the wire displacement as well as the acquisitions and calculations necessary to display the profiles and the corresponding emittances. A traversing speed of 20 m/s in the measurement area is reached, using a high torque motor rigidly linked to a U shaped wire holder. All elements are carefully designed and chosen for low inertia and minimum load on the wire. This enables measurements of high energy beams of more than 10/sup 13/ p/p in the PS with negligible emittance blow-up due to multiple scattering. This blow-up is still acceptable at injection energy. A link to the PS main computer allows operation from any one of the main consoles.

  18. Deflagration Wave Profiles

    SciTech Connect (OSTI)

    Menikoff, Ralph [Los Alamos National Laboratory

    2012-04-03T23:59:59.000Z

    Shock initiation in a plastic-bonded explosives (PBX) is due to hot spots. Current reactive burn models are based, at least heuristically, on the ignition and growth concept. The ignition phase occurs when a small localized region of high temperature (or hot spot) burns on a fast time scale. This is followed by a growth phase in which a reactive front spreads out from the hot spot. Propagating reactive fronts are deflagration waves. A key question is the deflagration speed in a PBX compressed and heated by a shock wave that generated the hot spot. Here, the ODEs for a steady deflagration wave profile in a compressible fluid are derived, along with the needed thermodynamic quantities of realistic equations of state corresponding to the reactants and products of a PBX. The properties of the wave profile equations are analyzed and an algorithm is derived for computing the deflagration speed. As an illustrative example, the algorithm is applied to compute the deflagration speed in shock compressed PBX 9501 as a function of shock pressure. The calculated deflagration speed, even at the CJ pressure, is low compared to the detonation speed. The implication of this are briefly discussed.

  19. 1993 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1993-12-01T23:59:59.000Z

    The Loads and Resources Study is presented in three documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; (2) a technical appendix detailing forecasted Pacific Northwest economic trends and loads, and (3) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. In this loads and resources study, resource availability is compared with a range of forecasted electricity consumption. The forecasted future electricity demands -- firm loads -- are subtracted from the projected capability of existing and {open_quotes}contracted for{close_quotes} resources to determine whether Bonneville Power Administration (BPA) and the region will be surplus or deficit. If resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which BPA can sell to increase revenues. Conversely, if firm loads exceed available resources, there is a deficit of energy and/or capacity, and additional conservation, contract purchases, or generating resources will be needed to meet load growth. The Pacific Northwest Loads and Resources Study analyzes the Pacific Northwest`s projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional power system, which includes loads and resource in addition to the Federal system. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA) produced by the Pacific Northwest Coordinating Group. This study presents the Federal system and regional analyses for five load forecasts: high, medium-high, medium, medium-low, and low. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 1994--95 through 2003--04.

  20. AdaptLoad: e ective balancing in clustered web servers under transient load conditions

    E-Print Network [OSTI]

    Riska, Alma

    manner [4, 17]. In this paper we concentrate on e#11;ective load sharing for a clustered web server makes e#11;ective request scheduling a diÆcult task that traditional load balancing methods failAdaptLoad: e#11;ective balancing in clustered web servers under transient load conditions #3; Alma

  1. Balancing load under large and fast load changes in distributed computing systems A case study

    E-Print Network [OSTI]

    Berthomieu, Bernard

    have been written about load sharing or load balancing (see e.g. [2] for references), but our sharing'' [7] technique. Load transfer can be implemented by moving processes at the time they are created (placement), but this method would not handle load implosions. Instead, we will use preemptive migrations

  2. Dynamic Load Balancing of Virtualized Database Services Using Hints and Load

    E-Print Network [OSTI]

    Kemper, Alfons

    server during runtime. Figure 1 shows the load curve of a typical interactive service. In the morningDynamic Load Balancing of Virtualized Database Services Using Hints and Load Forecasting Daniel-organizing infrastructures to react proactively. For this pur- pose we present two techniques: Short-term load forecasting

  3. An Energy and Peak Loads Analysis of the TYC/TRC Building – Final Report

    E-Print Network [OSTI]

    Katipamula, S.; O'Neal, D. L.

    1987-01-01T23:59:59.000Z

    the alternatives reduced energy consumption of the building. The ASHRAE and California standards had a reductions of more than 38% and 44%, respectively. iii iv TABLE OF CONTENTS CHAPTER Page SUMMARY ii ABSTRACT iii TABLE OF CONTENTS iv I INTRODUCTION 1 II... using the DOE 2.IB building energy simulation program [4]. The program simulates hourly loads profiles and hourly system performance of HVAC equipment in the building. It also has a provision to output various data, such as, peak loads for each zone...

  4. Beam Profile Monitor With Accurate Horizontal And Vertical Beam Profiles

    DOE Patents [OSTI]

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

    2005-12-26T23:59:59.000Z

    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.

  5. High loading uranium fuel plate

    DOE Patents [OSTI]

    Wiencek, Thomas C. (Bolingbrook, IL); Domagala, Robert F. (Indian Head Park, IL); Thresh, Henry R. (Palos Heights, IL)

    1990-01-01T23:59:59.000Z

    Two embodiments of a high uranium fuel plate are disclosed which contain a meat comprising structured uranium compound confined between a pair of diffusion bonded ductile metal cladding plates uniformly covering the meat, the meat having a uniform high fuel loading comprising a content of uranium compound greater than about 45 Vol. % at a porosity not greater than about 10 Vol. %. In a first embodiment, the meat is a plurality of parallel wires of uranium compound. In a second embodiment, the meat is a dispersion compact containing uranium compound. The fuel plates are fabricated by a hot isostatic pressing process.

  6. High payload six-axis load sensor

    DOE Patents [OSTI]

    Jansen, John F. (Knoxville, TN); Lind, Randall F. (Knoxville, TN)

    2003-01-01T23:59:59.000Z

    A repairable high-payload six-axis load sensor includes a table, a base, and at least three shear-pin load transducers removably mounted between the table and the base. Removable mounting permits easy replacement of damaged shear pins. Preferably, the shear-pin load transducers are responsive to shear forces imparted along the two axes perpendicular to an axis of minimum sensitivity characteristic of the transducer. Responsive to an applied shear force, each shear-pin load transducer can produce an electrical signal proportional to the reaction force. The load sensor can further include a structure for receiving the proportional electrical signals and computing the applied load corresponding to the proportional electrical signals. The computed load can be expressed in terms of a three-dimensional XYZ Cartesian coordinate system.

  7. Low reflectance radio frequency load

    DOE Patents [OSTI]

    Ives, R. Lawrence; Mizuhara, Yosuke M

    2014-04-01T23:59:59.000Z

    A load for traveling microwave energy has an absorptive volume defined by cylindrical body enclosed by a first end cap and a second end cap. The first end cap has an aperture for the passage of an input waveguide with a rotating part that is coupled to a reflective mirror. The inner surfaces of the absorptive volume consist of a resistive material or are coated with a coating which absorbs a fraction of incident RF energy, and the remainder of the RF energy reflects. The angle of the reflector and end caps is selected such that reflected RF energy dissipates an increasing percentage of the remaining RF energy at each reflection, and the reflected RF energy which returns to the rotating mirror is directed to the back surface of the rotating reflector, and is not coupled to the input waveguide. Additionally, the reflector may have a surface which generates a more uniform power distribution function axially and laterally, to increase the power handling capability of the RF load. The input waveguide may be corrugated for HE11 mode input energy.

  8. Microstructure evolution during tensile loading histories of a polyurea

    SciTech Connect (OSTI)

    Rinaldi, R.G.; Boyce, M.C.; Weigand, S.J.; Londono, D.J.; Guise, M.W. (MIT); (NWU); (Dupont)

    2012-02-07T23:59:59.000Z

    The evolution in the hard/soft domain microstructure of an elastomeric-like polyurea during different tensile loading histories was studied using in situ small- and wide-angle X-ray scattering (SAXS/WAXS). The nonlinear stress-strain behavior is initially stiff with a rollover yield to a more compliant response; unloading is highly nonlinear showing substantial hysteresis while also exhibiting significant recovery. Reloading reveals a substantially more compliant 'softened' behavior and dramatically reduced hysteresis. WAXS peaks monitor characteristic dimensions of regular features within the hard domains; the peak location remains unchanged with tensile deformation indicating no separation of the internal structure within a domain, but the peak intensity becomes anisotropic with deformation evolving in a reversible manner consistent with orientation due to stretch. The SAXS profiles provide information between major hard domains. SAXS peaks are found to shift with tensile loading in a relatively affine manner up to a tensile true strain of {approx}0.4, which, using a Bragg reduction to aid interpretation, reveals an axial increase and a transverse decrease in interdomain spacings; this evolution is reversible for strains less than {approx}0.4. Increasing axial strain beyond a true strain of {approx}0.4 is accompanied by a dramatic, progressive, and irreversible reduction in axial Bragg spacing, indicating a breakdown in the hard domain aggregate network structure. A four-point pattern is seen to develop during stretching. The breakdown in networked structure during a first load cycle gives a new structure for subsequent load cycles, which is seen to evolve in a reversible manner for strains less than or equal to the prior maximum strain. However, for strains exceeding the prior maximum strain excursion, additional breakdown is found. These SAXS results show that a breakdown in the hard domain aggregate network structure is a governing mechanism for the large dissipation (hysteresis) loops of the first load cycle and are also responsible for the softened reloading response. The absence of structure breakdown during subsequent load cycles corresponds to the substantially reduced hysteresis loops as well as the stable softened behavior. DMA data on pristine and previously deformed samples show a more compliant storage modulus in the predeformed sample, supporting the softened cyclic stress-strain data and the structural breakdown observed in the SAXS; the loss modulus was unchanged with deformation, which correlates with the lossy features measured in DMA with time-dependent viscosity rather than losses due to structural breakdown.

  9. Loads Providing Ancillary Services: Review of International Experience

    E-Print Network [OSTI]

    Heffner, Grayson

    2008-01-01T23:59:59.000Z

    for generators. A partial list of load attributes andpartial list includes: • Minimum run times • Minimum off times • Minimum load

  10. Vertical profiles of O3, aerosols, CO and NMHCs in the Northeast Pacific during the TRACE-P and ACE-ASIA experiments

    E-Print Network [OSTI]

    McKendry, Ian

    Vertical profiles of O3, aerosols, CO and NMHCs in the Northeast Pacific during the TRACE-P and ACE April 2001. This event contained substantial CO, NMHC, and aerosol loadings and was identifiedKendry, and T. L. Anderson, Vertical profiles of O3, aerosols, CO and NMHCs in the Northeast Pacific during

  11. Paper No. ICETECH12-132-RF P. S. Reddy Gudimetla Page number: 1 Strength and Pressure Profiles from Conical Ice Crushing Experiments

    E-Print Network [OSTI]

    Bruneau, Steve

    Paper No. ICETECH12-132-RF P. S. Reddy Gudimetla Page number: 1 Strength and Pressure Profiles from for obtaining the crushing strength and pressure profiles of cone shaped ice samples are presented the response of a full size structural grillage for both quasi-static and dynamic ice loading. To prepare

  12. Edge-Localized-Mode Suppression through Density-Profile Modification with Lithium-Wall Coatings in the National Spherical Torus Experiment

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    a pulsed power load that would limit the lifetime of plasma-facing components (PFCs) unless the energyEdge-Localized-Mode Suppression through Density-Profile Modification with Lithium-Wall Coatings to low-n peeling or ballooning modes, while broader pressure profiles stabilized the post-Li discharges

  13. Load research manual. Volume 2. Fundamentals of implementing load research procedures

    SciTech Connect (OSTI)

    Brandenburg, L.; Clarkson, G.; Grund, Jr., C.; Leo, J.; Asbury, J.; Brandon-Brown, F.; Derderian, H.; Mueller, R.; Swaroop, R.

    1980-11-01T23:59:59.000Z

    This three-volume manual presents technical guidelines for electric utility load research. Special attention is given to issues raised by the load data reporting requirements of the Public Utility Regulatory Policies Act of 1978 and to problems faced by smaller utilities that are initiating load research programs. In Volumes 1 and 2, procedures are suggested for determining data requirements for load research, establishing the size and customer composition of a load survey sample, selecting and using equipment to record customer electricity usage, processing data tapes from the recording equipment, and analyzing the data. Statistical techniques used in customer sampling are discussed in detail. The costs of load research also are estimated, and ongoing load research programs at three utilities are described. The manual includes guides to load research literature and glossaries of load research and statistical terms.

  14. Local Load Analysis with Periodic Time Series and Temperature Adjustment Marcelo Espinoza, Bart De Moor Caroline Joye Ronnie Belmans

    E-Print Network [OSTI]

    Time Series, Load Profiles, Temperature Sensitivity, Weather Adjustment 1 Introduction The quantitative, it is required to use indirect techniques to assess the type of demand they face [10, 11] in order to support their long-term investment planning. In this context, categories of residential, business and in- dustrial

  15. Tribometer with programmable motion and load to investigate the influence of molecular structure on wear of orthopaedic polyethylene 

    E-Print Network [OSTI]

    Kilgour, Alastair Scott

    2010-01-01T23:59:59.000Z

    ; Polytetrafluroethylene, Polyacetal, and UHMWPE were subjected to linear-reciprocating (LR) and novel elliptical motion paths under a Paul-type load profile. All three polymers showed higher wear factors under elliptical motion, by up to 2 orders of magnitude, agreeing...

  16. Bulk Modulus Capacitor Load Cells

    SciTech Connect (OSTI)

    Dickey, C.E.

    1990-04-01T23:59:59.000Z

    Measurement of forces present at various locations within the SSC Model Dipole collared coil assembly is of great practical interest to development engineers. Of particular interest are the forces between coils at the parting plane and forces that exist between coils and pole pieces. It is also desired to observe these forces under the various conditions that a magnet will experience such as: during the collaring process, post-collaring, under the influence of cryogens, and during field excitation. A twenty eight thousandths of an inch thick capacitor load cell which utilizes the hydrostatic condition of a stressed plastic dielectric has been designed. These cells are currently being installed on SSC Model Dipoles. The theory, development, and application of these cells will be discussed.

  17. Tar loads on Omani beaches

    SciTech Connect (OSTI)

    Badawy, M.I.; Al-Harthy, F.T. (National Research Center, Cairo (Egypt))

    1991-11-01T23:59:59.000Z

    Owing to Oman's geographic position and long coastal line, the coastal areas of Oman are particularly vulnerable to oil pollution from normal tanker operations, illegal discharges, and accidental spills as well as local sources of oil input. UNEP carried out a survey on the coasts of Oman to determine the major sources of oil pollution and concluded that the major shoreline pollution problems in Oman arose from operational discharges of oil from passing vessels traffic. The oil, because of the high sea and air temperatures in the area, was subjected to relatively high rates of evaporation and photo-oxidation and tended to arrive at the coast as heavy petroleum particulate residues (tar balls). The aim of the present study was to measure the loads of tar balls in Omani coastal areas and to identify the source of oil pollutants on beaches.

  18. Research Profile a Department of

    E-Print Network [OSTI]

    Kim, Tae-Kyun

    in this area embraces fundamentals and applications, including work on novel materials synthesis (including characterization and applications of inorganic and hybrid inorganic-organic framework materials), on corrosionResearch Profile a Department of Materials Science and Metallurgy Research Profile #12;b Research

  19. System and method employing a self-organizing map load feature database to identify electric load types of different electric loads

    SciTech Connect (OSTI)

    Lu, Bin; Harley, Ronald G.; Du, Liang; Yang, Yi; Sharma, Santosh K.; Zambare, Prachi; Madane, Mayura A.

    2014-06-17T23:59:59.000Z

    A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.

  20. Measured Peak Equipment Loads in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul A.

    2007-09-12T23:59:59.000Z

    This technical bulletin documents measured peak equipment load data from 39 laboratory spaces in nine buildings across five institutions. The purpose of these measurements was to obtain data on the actual peak loads in laboratories, which can be used to rightsize the design of HVAC systems in new laboratories. While any given laboratory may have unique loads and other design considerations, these results may be used as a 'sanity check' for design assumptions.

  1. Downstream Heat Flux Profile vs. Midplane T Profile in Tokamaks

    SciTech Connect (OSTI)

    Robert J. Goldston

    2009-08-20T23:59:59.000Z

    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.

  2. Building Technologies Office Load Control Strategies

    Broader source: Energy.gov [DOE]

    BTO researches and implements load control strategies, which support the Sustainable and Holistic IntegratioN of Energy storage and Solar PV (SHINES) FOA.

  3. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    of individual appliances. For off-grid applications, solarinappropriate load for an off-grid solar system. Increasedsolar systems in general, and off-grid solar systems in

  4. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    Air Conditioner Testing in WECC,” IEEE Power  Engineering Air Conditioner Modeling, WECC Load Modeling Task  Force in power system studies: WECC progress update,? Power and 

  5. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    Lights HVAC Figure 15 Demand Response and Market AnalysisHVAC Load % of Total Hour of Day Figure 16 Demand Response and Market

  6. IGFC response to initial fuel cell load for various syngas compositions

    SciTech Connect (OSTI)

    Tucker, David [U.S DOE; Hughes, Dimitri O. [Georgia Institute of Technology; Haynes, Comas L. [Georgia Institute of Technology

    2012-01-01T23:59:59.000Z

    The system response to an initial electric load of the fuel cell during the startup of a direct-fired fuel cell turbine power system was studied using the Hybrid Performance (Hyper) project hardware-based simulation facility at the U.S. Department of Energy, National Energy Technology Laboratory for a range of input fuel compositions. The facility was brought to a steady condition at a temperature deemed adequate to minimize stress on the fuel cell during the initial load transient. A 1D distributed fuel cell model operating in real-time was used to produce individual cell transient temperature profiles during the course of the load change. The process was conducted with humidified hydrogen, and then repeated with various syngas compositions representative of different gasifier technologies. The results provide insight into control strategy requirements for mitigation of expected fuel cell failure modes relevant to available gasifier technology.

  7. University Profile The University of Canterbury

    E-Print Network [OSTI]

    Hickman, Mark

    05 University Profile 2005-2007 #12;The University of Canterbury Te Whare Wnanga o Waitaha PROFILE Profile 2005-2007 Page 1 of 66 #12;University of Canterbury Profile 2005-2007 Page 2 of 66 #12;University of Canterbury PROFILE 2005-2007 Part A Overview of Strategic Direction and relationship to the Tertiary

  8. Accelerated Profile HMM Searches Sean R. Eddy *

    E-Print Network [OSTI]

    Eddy, Sean

    Accelerated Profile HMM Searches Sean R. Eddy * Abstract Profile hidden Markov models (profile HMMs search. However, practical use of profile HMM methods has been hindered by the computational expense of existing software implementations. Here I describe an acceleration heuristic for profile HMMs

  9. OpenEI Community

    Open Energy Info (EERE)

    Home All Questions Unanswered Questions Question Post date sort icon Answers how is the growth of the Smart Grid described 22 Apr 2015 - 01:39 1 How do I contribute utility rates...

  10. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and GasOff the GridHome All Questions Unanswered

  11. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green Fuels JumpData+entrepreneur HomeAPIHome

  12. OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: EnergyExcellenceOfficeOhio: Energy Resourcesen)

  13. Effects of dynamic conditions and sheave efficiency on hook load, derrick load, and line tension

    E-Print Network [OSTI]

    Luke, Gregory Robert

    1991-01-01T23:59:59.000Z

    EFFECTS OF DYNAMIC CONDITIONS AND SHEAVE EFFICIENCY ON HOOK LOAD, DERRICK LOAD, AND LINE TENSION A Thesis by GREGORY ROBERT LUKE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1991 Major Subject: Petroleum Engineering EFFECTS OF DYNAMIC CONDITIONS AND SHEAVE EFFICIENCY ON HOOK LOAD, DERRICK LOAD, AND LINE TENSION A Thesis by GREGORY ROBERT LUKE Approved as to style and content by: Hans...

  14. Commercial and Residential Hourly Load Profiles for all TMY3 Locations in

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew York:Governor s(RedirectedColusaCommack,Referencethe

  15. Thermionic converter in load-switching mode

    SciTech Connect (OSTI)

    Mendel'baum, M.A.; Es'kov, V.D.

    1983-01-01T23:59:59.000Z

    An electrical equivalent circuit is proposed for a thermionic electrogenerating element. It is suitable for calculation of transients in load-switching mode. Formulas are given for estimating circuit parameters. A sample numerical calculation is given for the transient between no-load and short-circuit regimes. The results may be employed to identify experimental data in the frequency domain.

  16. Nonparametric models for electricity load forecasting

    E-Print Network [OSTI]

    Genève, Université de

    Electricity consumption is constantly evolving due to changes in people habits, technological innovations1 Nonparametric models for electricity load forecasting JANUARY 23, 2015 Yannig Goude, Vincent at University Paris-Sud 11 Orsay. His research interests are electricity load forecasting, more generally time

  17. REACTIVE LOAD MODELINGIMPACTS ONNODAL PRICESINPOOL MODELELECTRICITYMARKETS

    E-Print Network [OSTI]

    Gross, George

    REACTIVE LOAD MODELINGIMPACTS ONNODAL PRICESINPOOL MODELELECTRICITYMARKETS EttoreBompard, Enrico of the nodal prices in competitive electricity markets based on the Pool paradigm. Such prices focus of the paper is on the explicit evaluation of the impactsof the reactive load onthenodal real

  18. Wind induced torsional loads on structures

    E-Print Network [OSTI]

    Kareem, Ahsan

    Wind induced torsional loads on structures A. Kareem Department of Civil Engineering, University degrees of freedom. If the resultant wind forces do not coincide with the centre of mass at each floor is also sensitive to the ratio of torsional to translational frequencies. There is no existing wind load

  19. 1997 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1997-12-01T23:59:59.000Z

    The 1997 White Book is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; and (2) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. Data detailing Pacific Northwest non-utility generating (NUG) resources is also available upon request. This analysis updates the 1996 pacific Northwest Loads and Resources Study, published in December 1996. In this loads and resources study, resource availability is compared with a medium forecast of electricity consumption. This document analyzes the Pacific Northwest`s projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency; and (2) the larger Pacific Northwest regional power system which includes loads and resources in addition to the Federal system. This study presents the Federal system and regional analyses for the medium load forecast. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 1998--99 through 2007--08.

  20. Steam Load Reduction Guidance Emergency Management Program

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    Steam Load Reduction Guidance Emergency Management Program v October 2014 Steam_Load_Reduction_Guidance_DSRDSR 1.0 PurposeandScope Utilities provides steam to the campus community for space heating, hot water in the steam distribution system or the Central Energy Plant, the preservation of building infrastructure

  1. 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...

  2. Equilibrium Configurations of Cantilever under Terminal Loads

    E-Print Network [OSTI]

    Milan Batista

    2013-03-27T23:59:59.000Z

    The paper provides an exact analytical solution for equilibrium configurations of cantilever rod subject to inclined force and torque acting on its free end. The solution is given in terms of Jacobi elliptical functions and illustrated by several numerical examples and several graphical presentations of shapes of deformed cantilever. Possible forms of cantilever underlying elastica are discussed in details and various simple formulas are given for calculation of characteristic dimensions of elastica. For the case when cantilever is subject only to applied force four load conditions are discussed: follower load problem, load determination problem, conservative load problem and rotational load problem. For all the cases the formulas or effective procedure for solution is given.

  3. Profiles in Leadership: Christopher Smith, Assistant Secretary...

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

    Profiles in Leadership: Christopher Smith, Assistant Secretary for Fossil Energy Profiles in Leadership: Christopher Smith, Assistant Secretary for Fossil Energy July 15, 2015 -...

  4. Data Source: OIT frozen database on 10/16/2013 and revised data from Law School Office of Registrar on 4/25/2014. 2013 FALL SEMESTER STUDENT ENROLLMENT PROFILE*

    E-Print Network [OSTI]

    District of Columbia, University of the

    on 4/25/2014. 2013 FALL SEMESTER STUDENT ENROLLMENT PROFILE* TOTAL ENROLLMENT Number Percent FTE/16/2013 and revised data from Law School Office of Registrar on 4/25/2014. ENROLLMENT BY ACADEMIC LOAD: UNDERGRADUATE

  5. Beam Profile Measurement in MTA Beam Line for High Pressure RF Cavity Beam Test

    SciTech Connect (OSTI)

    Jana, M.R.; Bross, A.; Chung, M.; Greer, S.; Johnstone, C.; Kobilarcik, T.; Koizumi, G.; Leonova, M.; Moretti, A.; Popovic, M.; Schwartz, T.; /Fermilab /IIT, Chicago /PDT, Torino

    2012-05-15T23:59:59.000Z

    Recent High Pressure RF (HPRF) cavity experiment at MuCool Test Area (MTA) has used 400 MeV Linac proton beam to study the beam loading effect. When the energetic proton beam passes through the cavity, it ionizes the inside gas and produces the electrons. These electrons consume RF power inside the cavity. Number of electrons produced per cm inside the cavity (at 950 psi Hydrogen gas) per incident proton is {approx} 1200. The measurement of beam position and profile are necessary. MTA is flammable gas (Hydrogen) hazard zone so we have developed a passive beam diagnostic instrument using Chromox-6 scintillation screen and CCD camera. This paper presents quantitative information about beam position and beam profile. Neutral density filter was used to avoid saturation of CCD camera. Image data is filtered and fitted with Gaussian function to compute the beam size. The beam profile obtained from scintillation screen shall be compared with multi-wire beam profile.

  6. Synthesis of polyoxometalate-loaded epoxy composites

    DOE Patents [OSTI]

    Anderson, Benjamin J

    2014-10-07T23:59:59.000Z

    The synthesis of a polyoxometalate-loaded epoxy uses a one-step cure by applying an external stimulus to release the acid from the polyoxometalate and thereby catalyze the cure reaction of the epoxy resin. Such polyoxometalate-loaded epoxy composites afford the cured epoxy unique properties imparted by the intrinsic properties of the polyoxometalate. For example, polyoxometalate-loaded epoxy composites can be used as corrosion resistant epoxy coatings, for encapsulation of electronics with improved dielectric properties, and for structural applications with improved mechanical properties.

  7. Load apparatus and method for bolt-loaded compact tension test specimen

    DOE Patents [OSTI]

    Buescher, B.J. Jr.; Lloyd, W.R.; Ward, M.B.; Epstein, J.S.

    1997-02-04T23:59:59.000Z

    A bolt-loaded compact tension test specimen load apparatus includes: (a) a body having first and second opposing longitudinal ends, the first end comprising an externally threaded portion sized to be threadedly received within the test specimen threaded opening; (b) a longitudinal loading rod having first and second opposing longitudinal ends, the loading rod being slidably received in a longitudinal direction within the body internally through the externally threaded portion and slidably extending longitudinally outward of the body first longitudinal end; (c) a force sensitive transducer slidably received within the body and positioned to engage relative to the loading rod second longitudinal end; and (d) a loading bolt threadedly received relative to the body, the loading bolt having a bearing end surface and being positioned to bear against the transducer to forcibly sandwich the transducer between the loading bolt and loading rod. Also disclosed is a method of in situ determining applied force during crack propagation in a bolt-loaded compact tension test specimen. 6 figs.

  8. Load apparatus and method for bolt-loaded compact tension test specimen

    DOE Patents [OSTI]

    Buescher, Jr., Brent J. (Idaho Falls, ID); Lloyd, W. Randolph (Idaho Falls, ID); Ward, Michael B. (Idaho Falls, ID); Epstein, Jonathan S. (Idaho Falls, ID)

    1997-01-01T23:59:59.000Z

    A bolt-loaded compact tension test specimen load apparatus includes: a) a body having first and second opposing longitudinal ends, the first end comprising an externally threaded portion sized to be threadedly received within the test specimen threaded opening; b) a longitudinal loading rod having first and second opposing longitudinal ends, the loading rod being slidably received in a longitudinal direction within the body internally through the externally threaded portion and slidably extending longitudinally outward of the body first longitudinal end; c) a force sensitive transducer slidably received within the body and positioned to engage relative to the loading rod second longitudinal end; and d) a loading bolt threadedly received relative to the body, the loading bolt having a bearing end surface and being positioned to bear against the transducer to forcibly sandwich the transducer between the loading bolt and loading rod. Also disclosed is a method of in situ determining applied force during crack propagation in a bolt-loaded compact tension test specimen.

  9. General solutions for thermopiezoelectrics with various holes under thermal loading

    E-Print Network [OSTI]

    Qin, Qinghua

    induced by thermal loads. The loads may be uniform remote heat ¯ow, point heat source and temperature elastic plate with an hole of various shapes subjected to remote uniform mechanical loading. For plane

  10. Psychosocial mediators of ethnic disparities in Allostatic Load /

    E-Print Network [OSTI]

    Tomfohr, Lianne Marie

    2013-01-01T23:59:59.000Z

    in Allostatic Load A dissertation submitted in partialPartial Associations between Posited Mediators with Ethnicity and Allostatic Load……………………………………………………………………………………Partial Associations between Posited Mediators with Ethnicity and Allostatic Load

  11. axial compressive load: Topics by E-print Network

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

    as the electromagnetic and thermal contraction loads are large but also for the heat load from the AC coupling loss. Reduction of the transverse load and warm-up cool-down...

  12. axial loads: Topics by E-print Network

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

    as the electromagnetic and thermal contraction loads are large but also for the heat load from the AC coupling loss. Reduction of the transverse load and warm-up cool-down...

  13. axial loaded mri: Topics by E-print Network

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

    as the electromagnetic and thermal contraction loads are large but also for the heat load from the AC coupling loss. Reduction of the transverse load and warm-up cool-down...

  14. axial compressive loading: Topics by E-print Network

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

    as the electromagnetic and thermal contraction loads are large but also for the heat load from the AC coupling loss. Reduction of the transverse load and warm-up cool-down...

  15. Harmonic approaches to non-intrusive load diagnostics

    E-Print Network [OSTI]

    Fuller, Ashley E. (Ashley Eliot)

    2008-01-01T23:59:59.000Z

    The Non-Intrusive Load Monitor (NILM) is a system that monitors, records and processes voltage and current measurements to establish the operating characteristics of individual loads on a load center from a single aggregate ...

  16. Load-follow control simulation with optimization

    SciTech Connect (OSTI)

    Yim, Man-Sung; Christenson, J.M.

    1989-01-01T23:59:59.000Z

    For the simulation of load-follow control operation of pressurized water reactors (PWRs), the system model needs to describe both primary and secondary system behaviors, because the load-change signal in the secondary system delivers a change in the primary system through the thermal-hydraulic interactions in the steam generator. In this study, the characteristics of load-follow control for a PWR were investigated using a one-dimensional core model combined with a simplified nuclear steam supply system model using optimization. The overall system model includes one-dimensional core neutronics with all the space-dependent feedback effects, Xe-I dynamics, core thermal balances, primary loop thermal balances, and steam generator dynamic responses to turbine load changes. The final system equations were manipulated for the lumped parameter representations by using the model expansion technique for the core model.

  17. Modeling and control of thermostatically controlled loads

    SciTech Connect (OSTI)

    Backhaus, Scott N [Los Alamos National Laboratory; Sinitsyn, Nikolai [Los Alamos National Laboratory; Kundu, S. [UNIV OF MICHIGAN; Hiskens, I. [UNIV OF MICHIGAN

    2011-01-04T23:59:59.000Z

    As the penetration of intermittent energy sources grows substantially, loads will be required to play an increasingly important role in compensating the fast time-scale fluctuations in generated power. Recent numerical modeling of thermostatically controlled loads (TCLs) has demonstrated that such load following is feasible, but analytical models that satisfactorily quantify the aggregate power consumption of a group of TCLs are desired to enable controller design. We develop such a model for the aggregate power response of a homogeneous population of TCLs to uniform variation of all TCL setpoints. A linearized model of the response is derived, and a linear quadratic regulator (LQR) has been designed. Using the TCL setpoint as the control input, the LQR enables aggregate power to track reference signals that exhibit step, ramp and sinusoidal variations. Although much of the work assumes a homogeneous population of TCLs with deterministic dynamics, we also propose a method for probing the dynamics of systems where load characteristics are not well known.

  18. Final Project Report Load Modeling Transmission Research

    SciTech Connect (OSTI)

    Lesieutre, Bernard [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Bravo, Richard [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Yinger, Robert [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Chassin, Dave [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Huang, Henry [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Lu, Ning [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hiskens, Ian [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Venkataramanan, Giri [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2012-03-31T23:59:59.000Z

    The research presented in this report primarily focuses on improving power system load models to better represent their impact on system behavior. The previous standard load model fails to capture the delayed voltage recovery events that are observed in the Southwest and elsewhere. These events are attributed to stalled air conditioner units after a fault. To gain a better understanding of their role in these events and to guide modeling efforts, typical air conditioner units were testing in laboratories. Using data obtained from these extensive tests, new load models were developed to match air conditioner behavior. An air conditioner model is incorporated in the new WECC composite load model. These models are used in dynamic studies of the West and can impact power transfer limits for California. Unit-level and systemlevel solutions are proposed as potential solutions to the delayed voltage recovery problem.

  19. High density load bearing insulation peg

    DOE Patents [OSTI]

    Nowobilski, J.J.; Owens, W.J.

    1985-01-29T23:59:59.000Z

    A high density peg is disclosed which can support a large load and exhibits excellent thermal resistance produced by a method wherein the peg is made in compliance with specified conditions of time, temperature and pressure. 4 figs.

  20. FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH

    E-Print Network [OSTI]

    Lesieutre, Bernard

    2013-01-01T23:59:59.000Z

    to voltage and frequency  disturbances by offering a much to voltage and frequency  disturbances by offering a much disturbances is that modeling the voltage sensitivity of the load is far more important than the  frequency 

  1. Impact of load type on microgrid stability

    E-Print Network [OSTI]

    Monnin, Jared P

    2012-01-01T23:59:59.000Z

    Microgrids show great promise as a means of integrating distributed generation sources into the public grid distribution system. In order to provide uninterrupted,high quality power to local loads, microgrids must have the ...

  2. UTS GRADUATE PROFILE FRAMEWORK August 2011

    E-Print Network [OSTI]

    University of Technology, Sydney

    UTS GRADUATE PROFILE FRAMEWORK August 2011 Approved by Academic Board (AB 11.79.2) meeting 11. What is a UTS Graduate Profile Each course (or suite of courses) at UTS will have a graduate profile that describes the intended capability of a graduate from the course. The graduate profile includes the graduate

  3. Creating and Managing Your COS Expertise Profile

    E-Print Network [OSTI]

    Ollivier-Gooch, Carl

    Creating and Managing Your COS Expertise Profile Managing Your CV and Promoting Your Work ® #12;Contents: · Creating your COS Expertise profile · Updating your COS Expertise profile · Managing your CV · Using your COS Workbench #12;Contents: · Creating your COS Expertise profile -benefits of creating

  4. Disruptions, loads, and dynamic response of ITER

    SciTech Connect (OSTI)

    Nelson, B.; Riemer, B.; Sayer, R.; Strickler, D. [Oak Ridge National Lab., TN (United States); Barabaschi, P.; Ioki, K.; Johnson, G.; Shimizu, K.; Williamson, D. [Max-Planck-Institut fuer Plasmaphysik, Garching (Germany). International Thermonuclear Experimental Reactor (ITER) Team

    1995-12-31T23:59:59.000Z

    Plasma disruptions and the resulting electromagnetic loads are critical to the design of the vacuum vessel and in-vessel components of the International Thermonuclear Experimental Reactor (ITER). This paper describes the status of plasma disruption simulations and related analysis, including the dynamic response of the vacuum vessel and in-vessel components, stresses and deflections in the vacuum vessel, and reaction loads in the support structures.

  5. MCO loading and cask loadout technical manual

    SciTech Connect (OSTI)

    PRAGA, A.N.

    1998-10-01T23:59:59.000Z

    A compilation of the technical basis for loading a multi-canister overpack (MCO) with spent nuclear fuel and then placing the MCO into a cask for shipment to the Cold Vacuum Drying Facility. The technical basis includes a description of the process, process technology that forms the basis for loading alternatives, process control considerations, safety considerations, equipment description, and a brief facility structure description.

  6. Gearbox Reliability Collaborative (GRC) Description and Loading

    SciTech Connect (OSTI)

    Oyague, F.

    2011-11-01T23:59:59.000Z

    This document describes simulated turbine load cases in accordance to the IEC 61400-1 Ed.3 standard, which is representative of the typical wind turbine design process. The information presented herein is intended to provide a broad understanding of the gearbox reliability collaborative 750kW drivetrain and turbine configuration. In addition, fatigue and ultimate strength drivetrain loads resulting from simulations are presented. This information provides the bases for the analytical work of the gearbox reliability collaborative effort.

  7. Development of an Accelerated Ash-Loading Protocol for Diesel...

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

    an Accelerated Ash-Loading Protocol for Diesel Particulate Filters Development of an Accelerated Ash-Loading Protocol for Diesel Particulate Filters Poster presentation at the 2007...

  8. Local Soot Loading Distribution in Cordierite Diesel Particulate...

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

    Local Soot Loading Distribution in Cordierite Diesel Particulate Filters by Dynamic Neutron Radiography Local Soot Loading Distribution in Cordierite Diesel Particulate Filters by...

  9. amplitude dynamic loading: Topics by E-print Network

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

    University February 6, 2001 Abstract We present the load-calculus, used to model dynamic loading, and prove it sound. The calculus extends the polymorphic -calculus with a...

  10. Y-12 Finishes Initial HEUMF Loading Ahead of Schedule | National...

    National Nuclear Security Administration (NNSA)

    Home Field Offices Welcome to the NNSA Production Office NPO News Releases Y-12 Finishes Initial HEUMF Loading Ahead of Schedule Y-12 Finishes Initial HEUMF Loading...

  11. acute acid loading an: Topics by E-print Network

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

    7 queries Meagher, Mary 29 An Automatic Load Sharing Approach for a DFIG Based Wind Generator in a Microgrid Engineering Websites Summary: An Automatic Load Sharing Approach...

  12. Nanosegregated Cathode Catalysts with Ultra-Low Platinum Loading...

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

    Nanosegregated Cathode Catalysts with Ultra-Low Platinum Loading Nanosegregated Cathode Catalysts with Ultra-Low Platinum Loading Presented at the Department of Energy Fuel Cell...

  13. Characterization of Dynamic Loads on Solar Modules with Respect...

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

    Characterization of Dynamic Loads on Solar Modules with Respect to Fracture of Solar Cells Characterization of Dynamic Loads on Solar Modules with Respect to Fracture of Solar...

  14. Activity Stream - NREL EFM DATA: Disaggregated Residential Load...

    Open Energy Info (EERE)

    EFM DATA: Disaggregated Residential Load Cost Data 22 days ago harvest created the dataset NREL EFM DATA: Disaggregated Residential Load Cost Data 1 month ago harvest created...

  15. 1999 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1999-12-01T23:59:59.000Z

    The Pacific Northwest Loads and Resources Study (White Book) is published annually by BPA and establishes the planning basis for supplying electricity to customers. It serves a dual purpose. First, the White Book presents projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. Second, the White Book serves as a benchmark for annual BPA determinations made pursuant to its regional power sales contracts. Specifically, BPA uses the information in the White Book for determining the notice required when customers request to increase or decrease the amount of power purchased from BPA. The White Book will not be used in calculations for the 2002 regional power sales contract subscription process. The White Book compiles information obtained from several formalized resource planning reports and data submittals, including those from the Northwest Power Planning Council (Council) and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions, including expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. In this loads and resources study, resource availability is compared with a medium forecast of electricity consumption. The forecasted future electricity demands--firm loads--are subtracted from the projected capability of existing and ''contracted for'' resources to determine whether BPA and the region will be surplus or deficit. If Federal system resources are greater than loads in any particular year or month, there is a surplus of energy and/or capacity, which BPA may use or market to increase revenues. Conversely, if Federal system firm loads exceed available resources, there is a deficit of energy and/or capacity and BPA would add conservation or contract purchases as needed to meet its firm loads. The load forecast is derived by using econometric models and analysis to predict the loads that will be placed on electric utilities in the region. This study incorporates information on contract obligations and contract resources, combined with the resource capabilities obtained from public utility and investor-owned utility (IOU) customers through their annual data submittals to the PNUCC, from BPA's Firm Resource Exhibit (FRE Exhibit I) submittals, and through analysis of the Federal hydroelectric power system. The loads and resources analysis in this study simulates the operation of the power system under the Pacific Northwest Coordination Agreement (PNCA) produced by the Pacific Northwest Coordinating Group. The PNCA defines the planning and operation of the regional hydrosystem. The 1999 White Book is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources; and (2) a technical appendix (available electronically only) detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates the December 1998 Pacific Northwest Loads and Resources Study. This analysis projects the yearly average energy consumption and resource availability for Operating Years (OY) 2000-01 through 2009-10. The study shows the Federal system's and the region's monthly estimated maximum electricity demand, monthly energy demand, monthly energy generation, and monthly maximum generating capability--capacity--for OY 2000-01, 2004-05, and 2009-10. The Federal system and regional monthly capacity surplus/deficit projections are summarized for 10 operating years. This document analyzes the Pacific Northwest's projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for wh

  16. Load controller and method to enhance effective capacity of a photovoltaic power supply using a dynamically determined expected peak loading

    DOE Patents [OSTI]

    Perez, Richard

    2005-05-03T23:59:59.000Z

    A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply.

  17. The Profile Editor: Designing a direct manipulative tool for assembling profiles

    E-Print Network [OSTI]

    Baudisch, Patrick

    1 The Profile Editor: Designing a direct manipulative tool for assembling profiles Patrick Baudisch interests represented by so-called profiles. The Profile Editor proposed in this article allows the in- teractive, direct manipulative construction of profiles. It takes a set of ranked queries and compiles them

  18. Role Profile Head of School

    E-Print Network [OSTI]

    Edinburgh, University of

    Role Profile Head of School Purpose of the Role The Head of School is accountable for:- · The provision of academic leadership, developing and delivering School objectives for, in particular, teaching, · The effective governance and management of the School and all of its resources. Context of the Role

  19. 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

  20. Country Energy Profile, South Africa

    SciTech Connect (OSTI)

    NONE

    1995-08-01T23:59:59.000Z

    This country energy profile provides energy and economic information about South Africa. Areas covered include: Economics, demographics, and environment; Energy situation; Energy structure; Energy investment opportunities; Department of Energy (DOE) programs in South Africa; and a listing of International aid to South Africa.

  1. A comparison of measured wind park load histories with the WISPER and WISPERX load spectra

    SciTech Connect (OSTI)

    Kelley, N.D.

    1995-01-01T23:59:59.000Z

    The blade-loading histories from two adjacent Micon 65/13 wind turbines are compared with the variable-amplitude test-loading histories known as the WISPER and WISPERX spectra. These standardized loading sequences were developed from blade flapwise load histories taken from nine different horizontal-axis wind turbines operating under a wide range of conditions in Europe. The subject turbines covered a broad spectrum of rotor diameters, materials, and operating environments. The final loading sequences were developed as a joint effort of thirteen different European organizations. The goal was to develop a meaningful loading standard for horizontal-axis wind turbine blades that represents common interaction effects seen in service. In 1990, NREL made extensive load measurements on two adjacent Micon 65/13 wind turbines in simultaneous operation in the very turbulent environment of a large wind park. Further, before and during the collection of the loads data, comprehensive measurements of the statistics of the turbulent environment were obtained at both the turbines under test and at two other locations within the park. The trend to larger but lighter wind turbine structures has made an understanding of the expected lifetime loading history of paramount importance. Experience in the US has shown that the turbulence-induced loads associated with multi-row wind parks in general are much more severe than for turbines operating individually or within widely spaced environments. Multi-row wind parks are much more common in the US than in Europe. In this paper we report on our results in applying the methodology utilized to develop the WISPER and WISPERX standardized loading sequences using the available data from the Micon turbines. While the intended purpose of the WISPER sequences were not to represent a specific operating environment, we believe the exercise is useful, especially when a turbine design is likely to be installed in a multi-row wind park.

  2. 2006 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-03-01T23:59:59.000Z

    The Pacific Northwest Loads and Resources Study (White Book), which is published annually by the Bonneville Power Administration (BPA), establishes one of the planning bases for supplying electricity to customers. The White Book contains projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. The White Book also contains information obtained from formalized resource planning reports and data submittals including those from individual utilities, the Northwest Power and Conservation Council (Council), and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues, although the database that generates the data for the White Book analysis contributes to the development of BPA's inventory and ratemaking processes. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions that include expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. The load resource balance of both the Federal system and the region is determined by comparing resource availability to an expected level of total retail electricity consumption. Resources include projected energy capability plus contract purchases. Loads include a forecast of retail obligations plus contract obligations. Surplus energy is available when resources are greater than loads. This surplus energy could be marketed to increase revenues. Energy deficits occur when resources are less than loads. These energy deficits will be met by any combination of the following: better-than-critical water conditions, demand-side management and conservation programs, permanent loss of loads due to economic conditions or closures, additional contract purchases, and/or the addition of new generating resources. This study incorporates information on Pacific Northwest (PNW) regional retail loads, contract obligations, and contract resources. This loads and resources analysis simulates the operation of the power system in the PNW. The simulated hydro operation incorporates plant characteristics, streamflows, and non-power requirements from the current Pacific Northwest Coordination Agreement (PNCA). Additional resource capability estimates were provided by BPA, PNW Federal agency, public agency, cooperative, U.S. Bureau of Reclamation (USBR), and investor-owned utility (IOU) customers furnished through annual PNUCC data submittals for 2005 and/or direct submittals to BPA. The 2006 White Book is presented in two documents: (1) this summary document of Federal system and PNW region loads and resources, and (2) a technical appendix which presents regional loads, grouped by major PNW utility categories, and detailed contract and resource information. The technical appendix is available only in electronic form. Individual customer information for marketer contracts is not detailed due to confidentiality agreements. The 2006 White Book analysis updates the 2004 White Book. This analysis shows projections of the Federal system and region's yearly average annual energy consumption and resource availability for the study period, OY 2007-2016. The study also presents projections of Federal system and region expected 1-hour monthly peak demand, monthly energy demand, monthly 1-hour peak generating capability, and monthly energy generation for OY 2007, 2011, and 2016. BPA is investigating a new approach in capacity planning depicting the monthly Federal system 120-hour peak generating capability and 120-hour peak surplus/deficit for OY 2007, 2011, and 2016. This document analyzes the PNW's projected loads and available generating resources in two parts: (1) the loads and resources of the Federal system, for which BPA is the marketing agency;

  3. Improved Load Distribution for Load Rating of Low-Fill Box Structures

    E-Print Network [OSTI]

    Acharya, Raju

    2012-12-31T23:59:59.000Z

    . The distribution of live loads on the top slab of a box culvert plays a major role in determining the rating factor of the culvert. The current AASHTO guidelines do not consider the effects of pavements present above the fill while determining the load distribution...

  4. Modality Effects on Cognitive Load and Performance in High-Load Information Presentation

    E-Print Network [OSTI]

    Nijholt, Anton

    INTRODUCTION Intelligent human-computer interfaces are often multimodal, i.e. the human-computer communications into the modality planning procedure for systems that support high-load human-computer interaction. Author Keywords-load information presenta- tion scenario. Mainly based on modality-related psychology theories, we selected five

  5. Dielectric breakdown model for conductor-loaded and insulator-loaded composite materials P. Bergero,1

    E-Print Network [OSTI]

    Peruani, Fernando

    Dielectric breakdown model for conductor-loaded and insulator-loaded composite materials P. Bergero strength is highly desirable, and in the past years composite materials such as resin matrix filled- tors, and composites containing carbon black and titanium dioxide have recently been tested

  6. Reconstruction of a wind turbine's endured load spectrum using a short-time load measurement

    E-Print Network [OSTI]

    Berlin,Technische Universität

    Reconstruction of a wind turbine's endured load spectrum using a short-time load measurement Abstract Wind turbines (WT) are normally designed for a service life (SL) of 20 years. In Germany, over safety. 1 Introduction A wind turbine (WT) is normally designed, tested and certified for a design life

  7. Classification and forecasting of load curves Nolwen Huet

    E-Print Network [OSTI]

    Cuesta, Juan Antonio

    Classification and forecasting of load curves Nolwen Huet Abstract The load curve, which gives of electricity customer uses. This load curve is only available for customers with automated meter reading. For the others, EDF must estimate this curve. Usually a clustering of the load curves is performed, followed

  8. Discharge indices for water quality loads Richard M. Vogel

    E-Print Network [OSTI]

    Vogel, Richard M.

    : effective discharge, transport, sediment, constituents, rating curve, half-load Citation: Vogel, R. M., J. RDischarge indices for water quality loads Richard M. Vogel Department of Civil and Environmental load is ultimately the quantity of interest, we define a new index, the half-load discharge, which

  9. ANALYTICAL APPROACH TO TRANSIENT HEAT CONDUCTION IN COOLING LOAD CALCULATIONS

    E-Print Network [OSTI]

    Michal Duška; Martin Barták; František Drkal; Jan Hensen

    equation in cooling load calculations. The performance of nine different procedures (the four methods and

  10. MEASUREMENT OF WASTE LOADING IN SALTSTONE

    SciTech Connect (OSTI)

    Harbour, J; Vickie Williams, V

    2008-07-18T23:59:59.000Z

    One of the goals of the Saltstone variability study is to identify the operational and compositional variables that control or influence the important processing and performance properties of Saltstone grout mixtures. One of those properties of importance is the Waste Loading (WL) of the decontaminated salt solution (DSS) in the Saltstone waste form. Waste loading is a measure of the amount of waste that can be incorporated within a waste form. The value of the Saltstone waste loading ultimately determines the number of vaults that will be required to disposition all of the DSS. In this report, the waste loading is defined as the volume in milliliters of DSS per liter of Saltstone waste form. The two most important parameters that determine waste loading for Saltstone are water to cementitious material (w/cm) ratio and the cured grout density. Data are provided that show the dependence of waste loading on the w/cm ratio for a fixed DSS composition using the current premix material (45% Blast Furnace Slag (BFS), 45% Fly Ash (FA) and 10% Ordinary Portland Cement (OPC)). The impact of cured grout density on waste loading was also demonstrated. Mixes (at 0.60 w/cm) made with a Modular Caustic side extraction Unit (MCU) simulant and either OPC or BFS have higher cured grout densities than mixes made with premix and increase the WL to 709 mL/L for the OPC mix and 689 mL/L for the BFS mix versus the value of 653 mL/L for MCU in premix at 0.60 w/cm ratio. Bleed liquid reduces the waste loading and lowers the effective w/cm ratio of Saltstone. A method is presented (and will be used in future tasks) for correcting the waste loading and the w/cm ratio of the as-batched mixes in those cases where bleed liquid is present. For example, the Deliquification, Dissolution and Adjustment (DDA) mix at an as-batched 0.60 w/cm ratio, when corrected for % bleed, gives a mix with a 0.55 w/cm ratio and a WL that has been reduced from 662 to 625 mL/L. An example is provided that demonstrated the quantitative impact of WL on the number of cells (each Saltstone vault contains two cells) required to disposition all of the {approx}100 million gallons of DSS available in the tanks. This calculation revealed that the number of cells required over the range of 0.48 to 0.62 w/cm ratio (equivalent to a WL range of 591 to 666 mL/L) varies from 65 to 57 cells (33 to 29 vaults). The intent of this oversimplified example was to show the range of variation in vaults expected due to w/cm ratio rather than to estimate the actual number of vaults required. There is a tradeoff between the waste loading and the processing and performance properties of Saltstone. The performance properties improve in general as the w/cm ratio decreases whereas the waste loading is reduced at lower w/cm ratios resulting in a larger number of Saltstone vaults. The final performance and processing requirements of Saltstone will determine the maximum waste loading achievable.

  11. Load attenuating passively adaptive wind turbine blade

    DOE Patents [OSTI]

    Veers, Paul S. (Albuquerque, NM); Lobitz, Donald W. (Albuquerque, NM)

    2003-01-01T23:59:59.000Z

    A method and apparatus for improving wind turbine performance by alleviating loads and controlling the rotor. The invention employs the use of a passively adaptive blade that senses the wind velocity or rotational speed, and accordingly modifies its aerodynamic configuration. The invention exploits the load mitigation prospects of a blade that twists toward feather as it bends. The invention includes passively adaptive wind turbine rotors or blades with currently preferred power control features. The apparatus is a composite fiber horizontal axis wind-turbine blade, in which a substantial majority of fibers in the blade skin are inclined at angles of between 15 and 30 degrees to the axis of the blade, to produces passive adaptive aeroelastic tailoring (bend-twist coupling) to alleviate loading without unduly jeopardizing performance.

  12. Load attenuating passively adaptive wind turbine blade

    DOE Patents [OSTI]

    Veers, Paul S.; Lobitz, Donald W.

    2003-01-07T23:59:59.000Z

    A method and apparatus for improving wind turbine performance by alleviating loads and controlling the rotor. The invention employs the use of a passively adaptive blade that senses the wind velocity or rotational speed, and accordingly modifies its aerodynamic configuration. The invention exploits the load mitigation prospects of a blade that twists toward feather as it bends. The invention includes passively adaptive wind turbine rotors or blades with currently preferred power control features. The apparatus is a composite fiber horizontal axis wind-turbine blade, in which a substantial majority of fibers in the blade skin are inclined at angles of between 15 and 30 degrees to the axis of the blade, to produces passive adaptive aeroelastic tailoring (bend-twist coupling) to alleviate loading without unduly jeopardizing performance.

  13. Demand-Side Response from Industrial Loads

    SciTech Connect (OSTI)

    Starke, Michael R [ORNL; Alkadi, Nasr E [ORNL; Letto, Daryl [Enbala Power Networks; Johnson, Brandon [University of Tennessee, Knoxville (UTK); Dowling, Kevin [University of Tennessee, Knoxville (UTK); George, Raoule [Enbala Power Networks; Khan, Saqib [University of Texas, Austin

    2013-01-01T23:59:59.000Z

    Through a research study funded by the Department of Energy, Smart Grid solutions company ENBALA Power Networks along with the Oak Ridge National Laboratory (ORNL) have geospatially quantified the potential flexibility within industrial loads to leverage their inherent process storage to help support the management of the electricity grid. The study found that there is an excess of 12 GW of demand-side load flexibility available in a select list of top industrial facilities in the United States. Future studies will expand on this quantity of flexibility as more in-depth analysis of different industries is conducted and demonstrations are completed.

  14. Investigation of sands subjected to dynamic loading 

    E-Print Network [OSTI]

    Reeves, Gary Neil

    1967-01-01T23:59:59.000Z

    INVESTIGATION OF SP&NDS SUBJECTED TO DTNAMIC LOADING A Tucsis By Gary N. Reeves Submitted to the Grad ate Coll Ee of the T xas AGM University in partial fulfillment of the requirements for the deEree of MASTER OF SCIPNCE AuBust 19G7 Major... Subject: Civil EnEineering LABORATORY INVESTIGATION OF SANDS SUBJECTED TO DYNAMIC LOADING A Thesis by Gary N. Reeves Approved as to style and content by: Chairman of Committee Head of Department Membe Me er August 1967 ACIINOWLEDGR&J. 'NTS I...

  15. Telemetering system supports load curtailment and billing

    SciTech Connect (OSTI)

    Mabry, R. (Potomac Electric Power Co., Washington, DC (United States)); Biagini, D. (Landis and Gyr Systems, Inc., San Jose, CA (United States))

    1993-04-01T23:59:59.000Z

    One of the greatest challenges facing electric utilities today is satisfying increasing peak demand without adding new generating capacity. Supporting utilities in this quest are state-of-the-art computer systems designed to accommodate complex load management as well as billing and load survey programs. The Potomac Electric Power Company (PEPCO) is utilizing such computer technology along with an innovative organizational approach to implement a comprehensive energy plan for its customers. The plan is enabling the utility to meet the growing demand placed on its power system by intensive expansion in the greater Washington DC area.

  16. Field Trial of a Low-Cost, Distributed Plug Load Monitoring System

    SciTech Connect (OSTI)

    Auchter, B.; Cautley, D.; Ahl, D.; Earle, L.; Jin, X.

    2014-03-01T23:59:59.000Z

    Researchers have struggled to inventory and characterize the energy use profiles of the ever-growing category of so-called miscellaneous electric loads (MELs) because plug-load monitoring is cost-prohibitive to the researcher and intrusive to the homeowner. However, these data represent a crucial missing link to our understanding of how homes use energy, and we cannot control what we do not understand. Detailed energy use profiles would enable the nascent automated home energy management (AHEM) industry to develop effective control algorithms that target consumer electronics and other plug loads. If utility and other efficiency programs are to incent AHEM devices, they need large-scale datasets that provide statistically meaningful justification of their investments by quantifying the aggregate energy savings achievable. To address this need, we have investigated a variety of plug-load measuring devices available commercially and tested them in the laboratory to identify the most promising candidates for field applications. The scope of this report centers around the lessons learned from a field validation of one proof-of-concept system, called Smartenit (formerly SimpleHomeNet). The system was evaluated based on the rate of successful data queries, reliability over a period of days to weeks, and accuracy. This system offers good overall performance when deployed with up to ten end nodes in a residential environment, although deployment with more nodes and in a commercial environment is much less robust. We conclude that the current system is useful in selected field research projects, with the recommendation that system behavior is observed over time.

  17. Dynamic model for electromagnetic field and heating patterns in loaded cylindrical cavities

    SciTech Connect (OSTI)

    Tian, Y.L.; Black, W.M.; Sa`adaldin, H.S. [George Mason Univ., Fairfax, VA (United States). Dept. of Electrical and Computer Engineering; Ahmad, I.; Silberglitt, R. [FM Technologies, Inc., Fairfax, VA (United States)

    1995-07-01T23:59:59.000Z

    An analytical solution for the electromagnetic fields in a cylindrical cavity, partially filled with a cylindrical dielectric has been recently reported. A program based on this solution has been developed and combined with the authors` previous program for heat transfer analysis. The new software has been used to simulate the dynamic temperature profiles of microwave heating and to investigate the role of electromagnetic field in heating uniformity and stability. The effects of cavity mode, cavity dimension, the dielectric properties of loads on electromagnetic field and heating patterns can be predicted using this software.

  18. Surface Brightness Profiles of Seyfert Galaxies

    E-Print Network [OSTI]

    Tugay, A V

    2014-01-01T23:59:59.000Z

    We built r-band surface brightness profiles by SDSS data for 16 Seyfert galaxies observed in Crimean Astrophysical Observatory. Obtained profiles can be used for finding more accurate lightcurves for these galaxies.

  19. State coal profiles, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-02T23:59:59.000Z

    The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.

  20. Project Profile: Thermochemical Storage with Anhydrous Ammonia...

    Office of Environmental Management (EM)

    Storage with Anhydrous Ammonia: Optimizing the Synthesis Reactor for Direct Production of Supercritical Steam Project Profile: Thermochemical Storage with Anhydrous...

  1. Project Profile: Direct Supercritical Carbon Dioxide Receiver...

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

    Direct Supercritical Carbon Dioxide Receiver Development Project Profile: Direct Supercritical Carbon Dioxide Receiver Development National Renewable Energy Laboratory logo The...

  2. Independent review of estimated load reductions for PJM's small customer load response pilot project

    SciTech Connect (OSTI)

    Heffner, G.; Moezzi, M.; Goldman, C.

    2004-06-01T23:59:59.000Z

    This study describes the results of a low-cost approach used to measure reported load reductions from a residential electric water heater (EWH) load control program operated as part of PJM Interconnection's Demand Response small customer pilot program. Lawrence Berkeley National Laboratory (LBNL) conducted this independent review of the engineering estimates for EWH load control reported by a Curtailment Service Provider (CSP) at PJM's request. LBNL employed low-cost measurement and verification (M&V) approaches that utilized existing interval metering equipment to monitor results for a series of load control tests. The CSP collected hourly load data for two substations and several hundred households over a six-week period in October and November 2003. During this time period, the CSP operated its electric water heater load control program during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems signifiogram during pre-specified test periods in the morning, afternoon and early evening. LBNL then analyzed substation and premise-level data from these tests in order to verify the diversified demand reductions claimed by the CSP for customers participating in the EWH load control program. We found that the observed load reductions for the premise-level data aggregated over all households in the two participating electric cooperatives were, respectively, 40 percent-60 percent less and 3 percent less-10 percent higher than the estimated diversified demand reduction values assumed by the CSP, depending on whether observed or normalized results are considered. We also analyzed sub-station level data and found that the observed load reductions during the test periods were significantly lower than expected, although confounding influences and operational problems significantly limit our ability to differentiate between control-related and non-control related differences in substation-level load shape data. The usefulness and accuracy of the results were hampered by operational problems encountered during the measurement period as well as in sufficient number of load research grade interval meters at one cooperative. Given the larger sample size at one electric cooperative and more statistically-robust results, there is some basis to suggest that the Adjusted Diversified Demand Factor (ADDF) values used by the CSP somewhat over-state the actual load reductions. Given the results and limitations of the M&V approach as implemented, we suggest several options for PJM to consider: (1) require load aggregators participating in ISODR programs to utilize formal PURPA-compliant load research samples in their M&V plans, and (2) continue developing lower cost M&V approaches for mass market load control programs that incorporate suggested improvements described in this study.

  3. Smard Grid Software Applications for Distribution Network Load Forecasting Eugene A. Feinberg, Jun Fei

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    of the distribution network. Keywords: load forecasting, feeder, transformer, load pocket, SmartGrid I. INTRODUCTION

  4. Modularization and simulation techniques for heat balance-based energy and load calculation

    E-Print Network [OSTI]

    Richard K. Strand

    2001-01-01T23:59:59.000Z

    the Loads Toolkit research project is to obtain a heat balance based load calculation procedure that

  5. Preferential Path Profiling: Compactly Numbering Interesting Paths

    E-Print Network [OSTI]

    Chilimbi, Trishul

    preferential path profiling (PPP), that reduces the overhead of path profiling. PPP leverages the observation that most consumers of path profiles are only inter- ested in a subset of all program paths. PPP achieves produced by PPP. This compact path numbering enables our PPP implementation to record path information

  6. EXPERIMENTAL SIMULATION OF DISTILLATION COLUMN PROFILE MAPS

    E-Print Network [OSTI]

    Skogestad, Sigurd

    EXPERIMENTAL SIMULATION OF DISTILLATION COLUMN PROFILE MAPS Tshepo Sehole David Modise A thesis or in combination, such as distillation, extraction, crystallization, ect. Among these, distillation is by far profiles for the preliminary design of distillation columns. Residue curves and column profile are not only

  7. GLOBAL LINE PROFILE ASYMMETRIES IN DISK GALAXIES

    E-Print Network [OSTI]

    Bershady, Matthew A.

    GLOBAL LINE PROFILE ASYMMETRIES IN DISK GALAXIES David R. Andersen1, Matthew A. Bershady2 1NRC profiles of 39 disk galaxies with H i and H ii data. We find good agreement between the first and second mo- ments of the profiles and recession and rotation velocities, respectively. The shapes of H i and H ii

  8. Discrete profile alignment via constrained information bottleneck

    E-Print Network [OSTI]

    Chechik, Gal

    Discrete profile alignment via constrained information bottleneck Sean O'Rourke seano@cs.ucsd.edu Abstract Amino acid profiles, which capture position-specific mutation prob- abilities, are a richer encoding of biological sequences than the in- dividual sequences themselves. However, profile comparisons

  9. Profile hidden Markov models Sean R. Eddy

    E-Print Network [OSTI]

    Eddy, Sean

    Profile hidden Markov models Sean R. Eddy Dept. of Genetics, Washington University School of Medicine 4566 Scott Ave., St. Louis MO 63110 USA eddy@genetics.wustl.edu keywords: profiles, hidden Markov models, protein families Abstract Summary: I review the recent literature on profile hid­ den Markov

  10. Discrete profile alignment via constrained information bottleneck

    E-Print Network [OSTI]

    Chechik, Gal

    Discrete profile alignment via constrained information bottleneck Sean O'Rourke # seano@cs.ucsd.edu Abstract Amino acid profiles, which capture position­specific mutation prob­ abilities, are a richer encoding of biological sequences than the in­ dividual sequences themselves. However, profile comparisons

  11. Restricting profile function of hedgehog Skyrmion

    E-Print Network [OSTI]

    Jun Yamashita; Minoru Hirayama

    2006-10-19T23:59:59.000Z

    The profile function for the hedgehog Skyrmion is investigated. After discussing how the form of the profile function is restricted by the field equation, the s tatic energy is numerically calculated. It is found that the profile functions c onsidered here sometimes give the static energy smaller than previous ones.

  12. Doppler Radar Wind Profiles Iwan Holleman

    E-Print Network [OSTI]

    Stoffelen, Ad

    ). The potential impact of a network of boundary layer wind profilers and sodars for mesoscale wind analysisDoppler Radar Wind Profiles Iwan Holleman Scientific Report, KNMI WR-2003-02, 2003 #12;2 #12 Strategy 18 3 Methods for Wind Profile Retrieval 25 3.1 Radial Velocity from Local Wind Model 25 3

  13. Development and application of the spatially explicit load enrichment calculation tool (select) to determine potential E. coli loads in watersheds

    E-Print Network [OSTI]

    Riebschleager, Kendra Jean

    2009-05-15T23:59:59.000Z

    to contamination is the Load Duration Curve (LDC) method (USEPA, 2006a). The LDC approach was developed for assessing nutrient loading in streams (Cleland, 2002). This graphical approach combines daily 9 stream flow with water quality data for the pollutant... on the field data available, thus the LDC determines load reductions for the flow conditions at which measurements were taken (Li and Guo, 2003). Load reduction is based on the percent exceedance above the maximum allowable load line. In Texas, the water...

  14. Load responsive multilayer insulation performance testing

    SciTech Connect (OSTI)

    Dye, S.; Kopelove, A. [Quest Thermal Group, 6452 Fig Street Suite A, Arvada, CO 80004 (United States); Mills, G. L. [Ball Aerospace and Technologies Corp, 1600 Commerce Street, Boulder, CO 80301 (United States)

    2014-01-29T23:59:59.000Z

    Cryogenic insulation designed to operate at various pressures from one atmosphere to vacuum, with high thermal performance and light weight, is needed for cryogenically fueled space launch vehicles and aircraft. Multilayer insulation (MLI) performs well in a high vacuum, but the required vacuum shell for use in the atmosphere is heavy. Spray-on foam insulation (SOFI) is often used in these systems because of its light weight, but can have a higher heat flux than desired. We report on the continued development of Load Responsive Multilayer Insulation (LRMLI), an advanced thermal insulation system that uses dynamic beam discrete spacers that provide high thermal performance both in atmosphere and vacuum. LRMLI consists of layers of thermal radiation barriers separated and supported by micromolded polymer spacers. The spacers have low thermal conductance, and self-support a thin, lightweight vacuum shell that provides internal high vacuum in the insulation. The dynamic load responsive spacers compress to support the external load of a vacuum shell in one atmosphere, and decompress under reduced atmospheric pressure for lower heat leak. Structural load testing was performed on the spacers with various configurations. LRMLI was installed on a 400 liter tank and boil off testing with liquid nitrogen performed at various chamber pressures from one atmosphere to high vacuum. Testing was also performed with an MLI blanket on the outside of the LRMLI.

  15. Valve for fuel pin loading system

    DOE Patents [OSTI]

    Christiansen, David W. (Kennewick, WA)

    1985-01-01T23:59:59.000Z

    A cyclone valve surrounds a wall opening through which cladding is projected. An axial valve inlet surrounds the cladding. Air is drawn through the inlet by a cyclone stream within the valve. An inflatable seal is included to physically engage a fuel pin subassembly during loading of fuel pellets.

  16. Valve for fuel pin loading system

    DOE Patents [OSTI]

    Christiansen, D.W.

    1984-01-01T23:59:59.000Z

    A cyclone valve surrounds a wall opening through which cladding is projected. An axial valve inlet surrounds the cladding. Air is drawn through the inlet by a cyclone stream within the valve. An inflatable seal is included to physically engage a fuel pin subassembly during loading of fuel pellets.

  17. load balancing tool for OASIS coupled systems

    E-Print Network [OSTI]

    LUCIA, load balancing tool for OASIS coupled systems Eric Maisonnave, Arnaud Caubel TR-CMGC-14-63 #12;Table of contents 1. Description of an OASIS3-MCT-based coupled system..............................................................................................14 #12;This document focuses on how to optimize performances of an OASIS3-MCT-based coupled system

  18. Analysis of the Load Impacts and Economic

    E-Print Network [OSTI]

    of the Time of Use (TOU) rate plan, called "Analysis of the Load Impacts and Economic Benefits model. The TOU data was rerun through the new spreadsheet model and the results are reported here. · Participation in the TOU rate option also resulted in an average net reduction of 292 kWh/year in annual

  19. DAMAGE LOCALIZATION USING LOAD VECTORS Dionisio Bernal

    E-Print Network [OSTI]

    Bernal, Dionisio

    DAMAGE LOCALIZATION USING LOAD VECTORS Dionisio Bernal Associate Professor Department of Civil: A technique to localize damage in structures that can be treated as linear in the pre and post-damage state is presented. Central to the approach is the computation of a set of vectors, designated as Damage Locating

  20. A LOADING-DEPENDENT MODEL OF PROBABILISTIC

    E-Print Network [OSTI]

    Dobson, Ian

    of the salient features of large blackouts of electric power trans- mission systems+ This leads to a new loadings+ 1. INTRODUCTION Cascading failure is the usual mechanism for large blackouts of electric power and containing 50 million people @33#+ The vital importance of the electrical infrastructure to society motivates

  1. Fig. 1. Example System phase loads

    E-Print Network [OSTI]

    power system (SPS) consists of various components such as generators, cables, switchboards, load centers Transformer 9 25 12 Alternate path Generator switchboard Bus-tie breaker Generator 1 Generator 3 Generator 2 4 26 G 29 7 8 ABT 3 single phase cables Visualization for Shipboard Power Systems Karen L. Butler

  2. CALIFORNIA'S NEXT GENERATION OF LOAD MANAGEMENT STANDARDS

    E-Print Network [OSTI]

    upon privately owned rights. This report has not been approved or disapproved by the California Energy the need for new peaking generation capacity and associated transmission and distribution capacity's "load management" authority as a way to achieve higher levels of costeffective demand response

  3. Right-Sizing Laboratory Equipment Loads

    SciTech Connect (OSTI)

    Frenze, David; Greenberg, Steve; Mathew, Paul; Sartor, Dale; Starr, William

    2005-11-29T23:59:59.000Z

    Laboratory equipment such as autoclaves, glass washers, refrigerators, and computers account for a significant portion of the energy use in laboratories. However, because of the general lack of measured equipment load data for laboratories, designers often use estimates based on 'nameplate' rated data, or design assumptions from prior projects. Consequently, peak equipment loads are frequently overestimated. This results in oversized HVAC systems, increased initial construction costs, and increased energy use due to inefficiencies at low part-load operation. This best-practice guide first presents the problem of over-sizing in typical practice, and then describes how best-practice strategies obtain better estimates of equipment loads and right-size HVAC systems, saving initial construction costs as well as life-cycle energy costs. This guide is one in a series created by the Laboratories for the 21st Century ('Labs21') program, a joint program of the U.S. Environmental Protection Agency and U.S. Department of Energy. Geared towards architects, engineers, and facilities managers, these guides provide information about technologies and practices to use in designing, constructing, and operating safe, sustainable, high-performance laboratories.

  4. Doxorubicin-Loaded QuadraSphere Microspheres: Plasma Pharmacokinetics and Intratumoral Drug Concentration in an Animal Model of Liver Cancer

    SciTech Connect (OSTI)

    Lee, Kwang-Hun; Liapi, Eleni A. [Johns Hopkins University School of Medicine, Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology (United States); Cornell, Curt [BioSphere Medical (United States); Reb, Philippe [Biosphere Medical, Research and Development Department (France); Buijs, Manon; Vossen, Josephina A.; Ventura, Veronica Prieto; Geschwind, Jean-Francois H., E-mail: jfg@jhmi.ed [Johns Hopkins University School of Medicine, Division of Vascular and Interventional Radiology, Russell H. Morgan Department of Radiology (United States)

    2010-06-15T23:59:59.000Z

    The purpose of this study was to evaluate, in vitro and in vivo, doxorubicin-loaded poly (vinyl alcohol-sodium acrylate) copolymer microspheres [QuadraSphere microspheres (QSMs)] for transcatheter arterial delivery in an animal model of liver cancer. Doxorubicin loading efficiency and release profile were first tested in vitro. In vivo, 15 rabbits, implanted with a Vx-2 tumor in the liver, were divided into three groups of five rabbits each, based on the time of euthanasia. Twenty-five milligrams of QSMs was diluted in 10 ml of a 10 mg/ml doxorubicin solution and 10 ml of nonionic contrast medium for a total volume of 20 ml. One milliliter of a drug-loaded QSM solution containing 5 mg of doxorubicin was injected into the tumor feeding artery. Plasma doxorubicin and doxorubicinol concentrations, and intratumoral and peritumoral doxorubicin tissue concentrations, were measured. Tumor specimens were pathologically evaluated to record tumor necrosis. As a control, one animal was blandly embolized with plain QSMs in each group. In vitro testing of QSM doxorubicin loadability and release over time showed 82-94% doxorubicin loadability within 2 h and 6% release within the first 6 h after loading, followed by a slow release pattern. In vivo, the doxorubicin plasma concentration declined at 40 min. The peak doxorubicin intratumoral concentration was observed at 3 days and remained detectable till the study's end point (7 days). Mean percentage tumor cell death in the doxorubicin QSM group was 90% at 7 days and 60% in the bland QSM embolization group. In conclusion, QSMs can be efficiently loaded with doxorubicin. Initial experiments with doxorubicin-loaded QSMs show a safe pharmacokinetic profile and effective tumor killing in an animal model of liver cancer.

  5. 2004 Pacific Northwest Loads and Resources Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2004-12-01T23:59:59.000Z

    The Pacific Northwest Loads and Resources Study (White Book), which is published annually by the Bonneville Power Administration (BPA), establishes one of the planning bases for supplying electricity to customers. The White Book contains projections of regional and Federal system load and resource capabilities, along with relevant definitions and explanations. The White Book also contains information obtained from formalized resource planning reports and data submittals including those from individual utilities, the Northwest Power and Conservation Council (Council), and the Pacific Northwest Utilities Conference Committee (PNUCC). The White Book is not an operational planning guide, nor is it used for determining BPA revenues, although the database that generates the data for the White Book analysis contributes to the development of BPA's inventory and ratemaking processes. Operation of the Federal Columbia River Power System (FCRPS) is based on a set of criteria different from that used for resource planning decisions. Operational planning is dependent upon real-time or near-term knowledge of system conditions that include expectations of river flows and runoff, market opportunities, availability of reservoir storage, energy exchanges, and other factors affecting the dynamics of operating a power system. The load resource balance of BPA and/or the region is determined by comparing resource availability to an expected level of total retail electricity consumption. Resources include projected energy capability plus contract purchases. Loads include a forecast of retail obligations plus contract obligations. Surplus energy is available when resources are greater than loads. This energy could be marketed to increase revenues. Energy deficits occur when resources are less than loads. These deficits could be met by any combination of the following: better-than-critical water conditions, demand-side management and conservation programs, permanent loss of loads due to economic conditions or closures, additional contract purchases, and/or the addition of new generating resources. The loads and resources analysis in this study simulates the operation of the power system under the current Pacific Northwest Coordination Agreement (PNCA). The PNCA defines the planning and operation of seventeen U.S. Pacific Northwest utilities and other parties with generating facilities within the region's hydroelectric (hydro) system. The hydroregulation study used for the 2004 White Book incorporates measures from the National Oceanographic and Atmospheric Administration Fisheries (NOAA Fisheries) Biological Opinion dated December 2000, and the U.S. Fish and Wildlife Service's 2000 Biological Opinion (2000 FCRPS BiOps) for the Snake River and Columbia River projects. These measures include: (1) Increased flow augmentation for juvenile fish migrations in the Snake and Columbia rivers in the spring and summer; (2) Mandatory spill requirements at the Lower Snake and Columbia dams to provide for non-turbine passage routes for juvenile fish migrants; and (3) Additional flows for Kootenai River white sturgeon in the spring; The hydroregulation criteria for this analysis includes the following: (1) Detailed Operation Plan operation for Treaty reservoirs for Operating Year (OY) 2004; (2) PNCA planning criteria for OY 2004; and (3) Juvenile fish bypass spill levels for 2000 FCRPS BiOps implementation. The 2004 White Book is presented in two documents: (1) this summary document of Federal system and PNW region loads and resources, and (2) a technical appendix which presents regional loads, grouped by major PNW utility categories, and detailed contract and resource information. The technical appendix is available only in electronic form. Individual customer information for marketer contracts is not detailed due to confidentiality agreements. The 2004 White Book analysis updates the 2003 White Book. This analysis projects the yearly average energy consumption and resource availability for the study period, OY 2006 through 2015. The study shows the Federal s

  6. Load controller and method to enhance effective capacity of a photovotaic power supply using a dynamically determined expected peak loading

    DOE Patents [OSTI]

    Perez, Richard (Delmar, NY)

    2003-04-01T23:59:59.000Z

    A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply. The expected peak loading of the variable load can be dynamically determined within a defined time interval with reference to variations in the variable load.

  7. Hemodynamic profile, compensation deficit, and ambulatory blood pressure

    E-Print Network [OSTI]

    Ottaviani, C; Shapiro, D; Goldstein, I B; James, J E; Weiss, R

    2006-01-01T23:59:59.000Z

    1999). Hemodynamic profile of stress-induced anticipationdifferences in hemodynamic profile and blood pressureG. A. (1995). Circadian profile of systemic hemodynamics.

  8. Novel transcriptional profile in wrist muscles from cerebral palsy patients

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    article Novel transcriptional profile in wrist muscles fromMethod: The transcriptional profile of spastic muscles werefirst transcriptional profile performed on spastic muscle of

  9. aerial density profiles: Topics by E-print Network

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

    present an analytic approach to predict gas density and temperature profiles in dark matter haloes. We assume that the gas density profile traces the dark matter density profile...

  10. C-V Profiling of Ultrashallow Junctions using a Step-Like Background Doping Profile

    E-Print Network [OSTI]

    Technische Universiteit Delft

    C-V Profiling of Ultrashallow Junctions using a Step-Like Background Doping Profile Milos Popadi, Delft, The Netherlands m.popadic@tudelft.nl Abstract--A novel C-V profiling method that enables profiling of ultrashallow and ultra-abrupt junctions is described. The method takes advantage of a peculiar

  11. Researcher Profile This cheatsheet will briefly explain how to utilise your Researcher Profile in IRMA.

    E-Print Network [OSTI]

    Researcher Profile This cheatsheet will briefly explain how to utilise your Researcher Profile Username (MAIS ID (Staff, Student or MAIS other number)) and MAIS Password. Researcher Profile 1) After straightaway, click on Home in the top right corner, then click on Researcher Profile. #12;Printed: 17 December

  12. To apply for positions, you will create a profile. Your profile will save your

    E-Print Network [OSTI]

    Holsinger, Kent

    To apply for positions, you will create a profile. Your profile will save your information including contact, education, experience, etc. After setting up your profile, you can update regularly · Track Career Search · Manage Profile http://www.jobs.uconn.edu Website: #12;The most recent postings

  13. ATHENA Student Account Refund Profile ATHENA Student Account Refund Profile Setup

    E-Print Network [OSTI]

    Hall, Daniel

    ATHENA Student Account Refund Profile ATHENA Student Account Refund Profile Setup What is a Refund Profile? UGA allows for online viewing and refunding of a student's account for payments and Financial Aid up a Refund Profile? Refunds that you receive can be direct deposited into the bank account of your

  14. Microstructural parameters from Multiple Whole Profile (MWP) or Convolutional Multiple Whole Profile

    E-Print Network [OSTI]

    Balzar, Davor

    Microstructural parameters from Multiple Whole Profile (MWP) or Convolutional Multiple Whole Profile (CMWP) computer programs 54th Annual Denver X-ray Conference Line Profile Analysis Workshop system, 2) hexagonal crystal system, 4) MWP (Multiple Whole Profile Fitting), 5) CMWP (Convolutional

  15. IP Profiling via Service Cluster Membership Vectors

    SciTech Connect (OSTI)

    Bartoletti, A

    2009-02-23T23:59:59.000Z

    This study investigates the feasibility of establishing and maintaining a system of compact IP behavioral profiles as a robust means of computer anomaly definition and detection. These profiles are based upon the degree to which a system's (IP's) network traffic is distributed among stable characteristic clusters derived of the aggregate session traffic generated by each of the major network services. In short, an IP's profile represents its degree of membership in these derived service clusters. The goal is to quantify and rank behaviors that are outside of the statistical norm for the services in question, or present significant deviation from profile for individual client IPs. Herein, we establish stable clusters for accessible features of common session traffic, migrate these clusters over time, define IP behavior profiles with respect to these clusters, migrate individual IP profiles over time, and demonstrate the detection of IP behavioral changes in terms of deviation from profile.

  16. Methods for Analyzing Electric Load Shape and its Variability

    SciTech Connect (OSTI)

    Price, Philip

    2010-05-12T23:59:59.000Z

    Current methods of summarizing and analyzing electric load shape are discussed briefly and compared. Simple rules of thumb for graphical display of load shapes are suggested. We propose a set of parameters that quantitatively describe the load shape in many buildings. Using the example of a linear regression model to predict load shape from time and temperature, we show how quantities such as the load?s sensitivity to outdoor temperature, and the effectiveness of demand response (DR), can be quantified. Examples are presented using real building data.

  17. Loading and pre-loading processes generate a distinct siRNA population in Tetrahymena

    SciTech Connect (OSTI)

    Mochizuki, Kazufumi, E-mail: kazufumi.mochizuki@imba.oeaw.ac.at; Kurth, Henriette M.

    2013-07-05T23:59:59.000Z

    Highlights: •The Tetrahymena Argonaute protein Twi1p binds to ?28–30-nt siRNAs called scnRNAs. •The size of scnRNAs is determined during a pre-loading process. •The 5? uracil bias of scnRNAs is attributed to pre-loading and loading processes. •The thermodynamic asymmetry of scnRNA duplex doesnot affect the guide strand decision. •scnRNAs may be produced non-sequentially from dsRNA substrates by Dicer. -- Abstract: The various properties of small RNAs, such as length, terminal nucleotide, thermodynamic asymmetry and duplex mismatches, can impact their sorting into different Argonaute proteins in diverse eukaryotes. The developmentally regulated 26- to 32-nt siRNAs (scnRNAs) are loaded to the Argonaute protein Twi1p and display a strong bias for uracil at the 5? end. In this study, we used deep sequencing to analyze loaded and unloaded populations of scnRNAs. We show that the size of the scnRNA is determined during a pre-loading process, whereas their 5? uracil bias is attributed to both pre-loading and loading processes. We also demonstrate that scnRNAs have a strong bias for adenine at the third base from the 3? terminus, suggesting that most scnRNAs are direct Dicer products. Furthermore, we show that the thermodynamic asymmetry of the scnRNA duplex does not affect the guide and passenger strand decision. Finally, we show that scnRNAs frequently have templated uracil at the last base without a strong bias for adenine at the second base indicating non-sequential production of scnRNAs from substrates. These findings provide a biochemical basis for the varying attributes of scnRNAs, which should help improve our understanding of the production and turnover of scnRNAs in vivo.

  18. Fermilab Today - Experiment Profiles Archive

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget » FYU.S. DOEFigure 1. The2015JulyProfiles

  19. Controlling a rabbet load and air/oil seal temperatures in a turbine

    DOE Patents [OSTI]

    Schmidt, Mark Christopher (Niskayuna, NY)

    2002-01-01T23:59:59.000Z

    During a standard fired shutdown of a turbine, a loaded rabbet joint between the fourth stage wheel and the aft shaft of the machine can become unloaded causing a gap to occur due to a thermal mismatch at the rabbet joint with the bearing blower turned on. An open or unloaded rabbet could cause the parts to move relative to each other and therefore cause the rotor to lose balance. If the bearing blower is turned off during a shutdown, the forward air/oil seal temperature may exceed maximum design practice criterion due to "soak-back." An air/oil seal temperature above the established maximum design limits could cause a bearing fire to occur, with catastrophic consequences to the machine. By controlling the bearing blower according to an optimized blower profile, the rabbet load can be maintained, and the air/oil seal temperature can be maintained below the established limits. A blower profile is determined according to a thermodynamic model of the system.

  20. Deterministic Josephson Vortex Ratchet with a load

    E-Print Network [OSTI]

    M. Knufinke; K. Ilin; M. Siegel; D. Koelle; R. Kleiner; E. Goldobin

    2011-09-29T23:59:59.000Z

    We investigate experimentally a deterministic underdamped Josephson vortex ratchet -- a fluxon-particle moving along a Josephson junction in an asymmetric periodic potential. By applying a sinusoidal driving current one can compel the vortex to move in a certain direction, producing average dc voltage across the junction. Being in such a rectification regime we also load the ratchet, i.e., apply an additional dc bias current I_dc (counterforce) which tilts the potential so that the fluxon climbs uphill due to the ratchet effect. The value of the bias current at which the fluxon stops climbing up defines the strength of the ratchet effect and is determined experimentally. This allows us to estimate the loading capability of the ratchet, the output power and efficiency. For the quasi-static regime we present a simple model which delivers simple analytic expressions for the above mentioned figures of merit.

  1. Electricity pricing for conservation and load shifting

    SciTech Connect (OSTI)

    Orans, Ren; Woo, C.K.; Horii, Brian; Chait, Michele; DeBenedictis, Andrew

    2010-04-15T23:59:59.000Z

    The electricity industry is facing the challenge of increasing costs of reliably meeting demand growth and fully complying with legislative renewable portfolio standards and greenhouse gas reduction targets. However, an electric utility's existing tariffs often don't have rates that increase with consumption volume or vary by time of use, thus not fully exploiting the potential benefits from customer conservation and load shifting. (author)

  2. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    BOWEN, W.W.

    1999-11-08T23:59:59.000Z

    The Advanced Reactors Transition (ART) Resource Loaded Schedule (RLS) provides a cost and schedule baseline for managing the project elements within the ART Program. The Fast Flux Test Facility (FFTF) activities are delineated through the end of FY 2000, assuming continued standby. The Nuclear Energy (NE) Legacies and Plutonium Recycle Test Reactor (PRTR) activities are delineated through the end of the deactivation process. This document reflects the 1 Oct 1999 baseline.

  3. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    GANTT, D.A.

    2000-01-12T23:59:59.000Z

    The Advanced Reactors Transition (ART) Resource Loaded Schedule (RLS) provides a cost and schedule baseline for managing the project elements within the ART Program. The Fast Flux Test Facility (FETF) activities are delineated through the end of FY 2000, assuming continued standby. The Nuclear Energy (NE) Legacies and Plutonium Recycle Test Reactor (PRTR) activities are delineated through the end of the deactivation process. This revision reflects the 19 Oct 1999 baseline.

  4. Composition containing aerogel substrate loaded with tritium

    DOE Patents [OSTI]

    Ashley, Carol S. (Albuquerque, NM); Brinker, C. Jeffrey (Albuquerque, NM); Ellefson, Robert E. (Centerville, OH); Gill, John T. (Miamisburg, OH); Reed, Scott (Albuquerque, NM); Walko, Robert J. (Albuquerque, NM)

    1992-01-01T23:59:59.000Z

    The invention provides a process for loading an aerogel substrate with tritium and the resultant compositions. According to the process, an aerogel substrate is hydrolyzed so that surface OH groups are formed. The hydrolyzed aerogel is then subjected to tritium exchange employing, for example, a tritium-containing gas, whereby tritium atoms replace H atoms of surface OH groups. OH and/or CH groups of residual alcohol present in the aerogel may also undergo tritium exchange.

  5. Batch load anaerobic digestion of dairy manure

    E-Print Network [OSTI]

    Egg, Richard P

    1979-01-01T23:59:59.000Z

    and resource recovery. Anaerobic digestion of manure has re- ceived much attention as a method to reduce the pollution threat to the environment while reclaiming energy in the form of methane gas from the biomass. Currently there is one commercial anaerobic... production than the conventional process used in most studies to date. The objective of this research was to evaluate a batch load digestion process for methane production from dairy manure to determine the optimum influent total solids concentration...

  6. Thermal loading considerations for synchrotron radiation mirrors

    SciTech Connect (OSTI)

    Holdener, F.R.; Berglin, E.J.; Fuchs, B.A.; Humpal, H.H.; Karpenko, V.P.; Martin, R.W.; Tirsell, K.G.

    1986-03-26T23:59:59.000Z

    Grazing incidence mirrors used to focus synchrotron radiation beams through small distant apertures have severe optical requirements. The surface distortion due to heat loading of the first mirror in a bending magnet beam line is of particular concern when a large fraction of the incident beam is absorbed. In this paper we discuss mirror design considerations involved in minimizing the thermal/mechanical loading on vertically deflecting first surface mirrors required for SPEAR synchrotron radiation beam lines. Topics include selection of mirror material and cooling method, the choice of SiC for the substrate, optimization of the thickness, and the design of the mirror holder and cooling mechanism. Results obtained using two-dimensional, finite-element thermal/mechanical distortion analysis are presented for the case of a 6/sup 0/ grazing incidence SiC mirror absorbing up to 260 W at Beam Line VIII on the SPEAR ring. Test descriptions and results are given for the material used to thermally couple this SiC mirror to a water-cooled block. The interface material is limited to applications for which the equivalent normal heat load is less than 20 W/cm/sup 2/.

  7. Load Management and Houston Lighting and Power Co.

    E-Print Network [OSTI]

    Drawe, R. G.; Ramsay, I. M.

    1984-01-01T23:59:59.000Z

    Defining Load Management as influencing of customer loads in order to shift the time use of electric power and energy, encompasses a broad spectrum of activities at Houston Lighting & Power Company. This paper describes those activities by directing...

  8. Structural loading of cross deck connections for trimaran vessels

    E-Print Network [OSTI]

    Rhoads, Jason L

    2004-01-01T23:59:59.000Z

    This work investigates the fundamental relationships of wave loading on cross deck structures for trimaran vessels. In contrast with a monohull ship, trimaran vessels experience several possible structural loading cases ...

  9. Crack coalescence in rock-like material under cycling loading

    E-Print Network [OSTI]

    Ko, Tae Young, 1973-

    2005-01-01T23:59:59.000Z

    A total of 170 tests (68 tests for monotonic loading, 102 tests for cyclic loading) have been performed to investigate crack initiation, propagation and coalescence. The specimens have two pre-existing flaws which are ...

  10. acute cholesterol loading: Topics by E-print Network

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

    of sector 78 1. The estimate of the helium inventory, a prerequisite for the heat load calculation, is also presented. Heat loads to the cold mass are evaluated from the...

  11. acute sodium loading: Topics by E-print Network

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

    of sector 78 1. The estimate of the helium inventory, a prerequisite for the heat load calculation, is also presented. Heat loads to the cold mass are evaluated from the...

  12. Cooling load differences between radiant and air systems

    E-Print Network [OSTI]

    Feng, Jingjuan Dove; Schiavon, Stefano; Bauman, Fred

    2013-01-01T23:59:59.000Z

    radiant heat transfer for cooling load calculation.heat gain is well recognized by cooling load calculationload calculation approach for radiant systems, Corgnati [17] also tackled the direct radiant heat

  13. assessing critical loads: Topics by E-print Network

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

    of sector 78 1. The estimate of the helium inventory, a prerequisite for the heat load calculation, is also presented. Heat loads to the cold mass are evaluated from the...

  14. aerodynamic loads estimated: Topics by E-print Network

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

    of sector 78 1. The estimate of the helium inventory, a prerequisite for the heat load calculation, is also presented. Heat loads to the cold mass are evaluated from the...

  15. SLUDGE TREATMENT PROJECT COST COMPARISON BETWEEN HYDRAULIC LOADING AND SMALL CANISTER LOADING CONCEPTS

    SciTech Connect (OSTI)

    GEUTHER J; CONRAD EA; RHOADARMER D

    2009-08-24T23:59:59.000Z

    The Sludge Treatment Project (STP) is considering two different concepts for the retrieval, loading, transport and interim storage of the K Basin sludge. The two design concepts under consideration are: (1) Hydraulic Loading Concept - In the hydraulic loading concept, the sludge is retrieved from the Engineered Containers directly into the Sludge Transport and Storage Container (STSC) while located in the STS cask in the modified KW Basin Annex. The sludge is loaded via a series of transfer, settle, decant, and filtration return steps until the STSC sludge transportation limits are met. The STSC is then transported to T Plant and placed in storage arrays in the T Plant canyon cells for interim storage. (2) Small Canister Concept - In the small canister concept, the sludge is transferred from the Engineered Containers (ECs) into a settling vessel. After settling and decanting, the sludge is loaded underwater into small canisters. The small canisters are then transferred to the existing Fuel Transport System (FTS) where they are loaded underwater into the FTS Shielded Transfer Cask (STC). The STC is raised from the basin and placed into the Cask Transfer Overpack (CTO), loaded onto the trailer in the KW Basin Annex for transport to T Plant. At T Plant, the CTO is removed from the transport trailer and placed on the canyon deck. The CTO and STC are opened and the small canisters are removed using the canyon crane and placed into an STSC. The STSC is closed, and placed in storage arrays in the T Plant canyon cells for interim storage. The purpose of the cost estimate is to provide a comparison of the two concepts described.

  16. ICRF Power-Deposition Profiles, Heating and Confinement of Monster-Sawtooth and Peaked-Density Profile Discharges in JET

    E-Print Network [OSTI]

    ICRF Power-Deposition Profiles, Heating and Confinement of Monster-Sawtooth and Peaked-Density Profile Discharges in JET

  17. Industrial Load Shaping: A Utility Strategy to Deal with Competition

    E-Print Network [OSTI]

    Bules, D.

    manufacturing facilities. Both the customer and the utility should realize benefits from these changes. There are five generic load shaping categories: rescheduling operations, capacity additions, product storage, automation and flexible manufacturing... Implementation * Program Monitoring LOAD SHAPE ALTERNATIVES General categories of load shape alternatives include process rescheduling, capacity additions, product storage, automation and flexible manufacturing and electrotechnologies. Process rescheduling...

  18. Coupling Wind Generation with Controllable Load and Storage

    E-Print Network [OSTI]

    Coupling Wind Generation with Controllable Load and Storage: A Time-Series Application of the Super Electric Energy System #12;Coupling Wind Generation with Controllable Load and Storage: A Time Wind Generation with Controllable Load and Storage: A Time-Series Application of the SuperOPF." (PSERC

  19. AIAA980057 RELATING TURBULENCE TO WIND TURBINE BLADE LOADS

    E-Print Network [OSTI]

    Sweetman, Bert

    AIAA­98­0057 RELATING TURBULENCE TO WIND TURBINE BLADE LOADS: PARAMETRIC STUDY WITH MULTIPLE that is most useful in estimating fatigue loads on wind turbine blades. The histograms of rainflow counted turbulence measures---can be used to estimate fatigue loads on wind turbine blades. We first de­ scribe

  20. Load Alleviation on Wind Turbine Blades using Variable Airfoil Geometry

    E-Print Network [OSTI]

    Load Alleviation on Wind Turbine Blades using Variable Airfoil Geometry Peter Bjørn Andersen, Mac Loads, Trailing Edge Flaps, PID control, Signal Noise. 1 Introduction Wind turbine blades are subject to 40% when signal noise is added to the control. Keywords: Wind Turbine, Load Alleviation, Fatigue