Sample records for rate schedule area

  1. 2012 Transmission Rate Schedules

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

    2014 Transmission, Ancillary, and Control Area Service Rate Schedules and General Rate Schedule Provisions (FY 2014-2015) October 2013 United States Department of Energy...

  2. Rate Schedule CPP-2

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

    CPP-2 (Supersedes Schedule CPP-1) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATES FOR CUSTOM PRODUCT POWER Effective:...

  3. Rate Schedules

    Broader source: Energy.gov [DOE]

    One of the major responsibilities of Southeastern is to design, formulate, and justify rate schedules. Repayment studies prepared by the agency determine revenue requirements and appropriate rate...

  4. Rate Schedule COTP-T3

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

    COTP-T3 (Supersedes Schedule COTP-T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CALIFORNIA-OREGON TRANSMISSION PROJECT SCHEDULE OF RATE FOR...

  5. Rate Schedule CV-NWT5

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

    NWT5 (Supersedes Schedule CV-NWT4) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR NETWORK INTEGRATION TRANSMISSION...

  6. Rate Schedule CV-SUR4

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

    SUR4 (Supersedes Schedule CV-SUR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SUPPLEMENTAL RESERVE SERVICE...

  7. Rate Schedule CV-F13

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

    F13 (Supersedes Schedule CV-F12) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATES FOR BASE RESOURCE AND FIRST...

  8. Rate Schedule PACI-T3

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

    PACI-T3 (Supersedes Schedule PACI -T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION PACIFIC ALTERNATING CURRENT INTERTIE PROJECT SCHEDULE OF RATE FOR...

  9. Rate Schedule CV-RFS4

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

    RFS4 (Supersedes Schedule CV-RFS3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR REGULATION AND FREQUENCY...

  10. Rate Schedule CV-EID4

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

    EID4 (Supersedes Schedule CV-EID3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR ENERGY IMBALANCE SERVICE...

  11. Rate Schedule CV-SPR4

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

    SPR4 (Supersedes Schedule CV-SPR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SPINNING RESERVE SERVICE...

  12. Rate Schedule CV-TPT7

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

    TPT7 (Supersedes Schedule CV-TPT6) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR TRANSMISSION OF WESTERN POWER BY...

  13. Santee-3-E Wholesale Power Rate Schedule | Department of Energy

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

    Santee-3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public...

  14. Rate Schedule CV-T3 (Supersedes Schedules CV- T2) UNITED STATES...

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

    T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR POINT-TO-POINT TRANSMISSION...

  15. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  16. Rate Schedules | Department of Energy

    Energy Savers [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 directed offOCHCO Overview OCHCO Overview OCHCODepartmentEnergy April 20138Rate Schedules Rate Schedules

  17. 1996 Wholesale Power and Transmission Rate Schedules.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1996-10-01T23:59:59.000Z

    Bonneville Power Administration`s (BPA) 1996 Wholesale Power Rate Schedules, 1996 Ancillary Products and Services Rate Schedule, 1996 Transmission Rate Schedules, and General Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1996. These rate schedules and provisions were approved by the Federal Energy Regulatory Commission (FERC), United States Department of Energy, in September 1996 (Docket Nos EF96-2011-000 and EF96f-2021-000). These rate schedules and General Rate Schedule Provisions were approved on a final basis by the FERC July 30, 1997, in Dept. of Energy--Bonneville Power Administration, Docket Nos. EF96-2011-000 and EF96-2021-000. Except as noted elsewhere, these 1996 rate schedules and provisions supersede BPA`s Wholesale Power Rate Schedules and General Rate Schedule Provisions, and Transmission Rate Schedules and General Transmission Rate Schedule Provisions, effective October 1, 1995. These rate schedules and general rate schedule provisions include all errata.

  18. CM-1-H Wholesale Power Rate Schedule

    Broader source: Energy.gov [DOE]

    Availability:This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter...

  19. New Rate Schedule CV-UUP1 UNITED STATES DEPARTMENT OF ENERGY

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

    UUP1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR UNRESERVED USE PENALTIES Effective: October 1, 2011, through...

  20. New Rate Schedule CV-GID1 UNITED STATES DEPARTMENT OF ENERGY

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

    GID1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR GENERATOR IMBALANCE SERVICE Effective: October 1, 2011,...

  1. 2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  2. Salt Lake City Area Integrated Projects Power Sales Rate History

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

    Salt Lake City Area Integrated Projects Power Sales Rate History Updated: 9112013 Rate Schedule Effective Dates Energy (MillskWh) Capacity (kW-mo.) Combined (MillskWh) 1...

  3. Figure 3. Production Schedules at Two Development Rates

    Gasoline and Diesel Fuel Update (EIA)

    3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

  4. Figure 5. Production Schedules at Two Development Rates for the...

    Gasoline and Diesel Fuel Update (EIA)

    5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

  5. igure 4. Production Schedules at Two Development Rates for the...

    Gasoline and Diesel Fuel Update (EIA)

    4. Production Schedules at Two Development Rates for the Statistical Mean of Recovering 10.3 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska...

  6. Priority and fair scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Dugar, Anurag

    2001-01-01T23:59:59.000Z

    always inspired me to do my best. TABLE OF CONTENTS CHAPTER Page INTRODUCTION . BACKGROUND A. Wireless Local Area Network Standards . 1. IEEE 802. 11 Access Mechanism 2. Hiperlan Access Mechanism . B. Priority and Fair Scheduling in Wireless LANs... 1. Comparison of Proposed Scheme with IEEE 802. 11 Distributed Coordination Function (DCF) . 2. Comparison of the Proposed Scheme with DFS B. Priority Scheduling and Weighted Fairness ALTERNATIVE SCHEME FOR CONTENTION RESOLUTION A. Alternative...

  7. A study of enhancements to rate monotone scheduling

    E-Print Network [OSTI]

    Menon, Radhika Kozhikodakatha Veetil

    1991-01-01T23:59:59.000Z

    . The lrighest level first policy is shown to be optimal for nonpreemptive scheduling, for two processor systems by Chandy and Reynolds [8]. They define the level of a, task in a tree to be the length of the longest path between the task and any leaf task... periods being Ti, Tz and their run-times being Ci, Cz. The request rate of a task is defined to be reciprocal of its request period. 29 III. A Structure of the periods In this section we derive the request patterns over different periods for the case...

  8. Study of distributed Fair Scheduling in wireless local area networks 

    E-Print Network [OSTI]

    Gupta, Seema

    2000-01-01T23:59:59.000Z

    A Fair Scheduling policy is required to support differentiated QoS requirements of contending flows in a wireless channel. This thesis presents a study of the Distributed Fair Scheduling (DFS) algorithm proposed for wireless ...

  9. Approximation Algorithms for Wireless Link Scheduling with Flexible Data Rates

    E-Print Network [OSTI]

    Kesselheim, Thomas

    2012-01-01T23:59:59.000Z

    We consider scheduling problems in wireless networks with respect to flexible data rates. That is, more or less data can be transmitted per time depending on the signal quality, which is determined by the signal-to-interference-plus-noise ratio (SINR). Each wireless link has a utility function mapping SINR values to the respective data rates. We have to decide which transmissions are performed simultaneously and (depending on the problem variant) also which transmission powers are used. In the capacity-maximization problem, one strives to maximize the overall network throughput, i.e., the summed utility of all links. For arbitrary utility functions (not necessarily continuous ones), we present an O(log n)-approximation when having n communication requests. This algorithm is built on a constant-factor approximation for the special case of the respective problem where utility functions only consist of a single step. In other words, each link has an individual threshold and we aim at maximizing the number of lin...

  10. Integrated Scheduling Using Rendezvous Window and Sniff Mode for Wireless Personal Area Networks

    E-Print Network [OSTI]

    Lee, Tae-Jin

    by connecting many light-weight personal devices such as PDAs, mobile phones, and media players. UWB (Ultra WideIntegrated Scheduling Using Rendezvous Window and Sniff Mode for Wireless Personal Area Networks and in a piconet level as well as power saving, which is desired for wireless personal area network systems. 1

  11. Schedules

    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 > TheNuclearHomeland andEffectsScanning/TransmissionScheduledSchedules

  12. Energy-Efficient Sampling Schedules for Body Area Vishwa Goudar and Miodrag Potkonjak

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    Energy-Efficient Sampling Schedules for Body Area Networks Vishwa Goudar and Miodrag Potkonjak a novel sampling method to overcome the tradeoff between sensing fidelity and energy-efficiency considerations in the design and deployment of WSNs, energy-efficiency has been identified as the most important

  13. Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Critical Path and Area Based Scheduling of Parallel Task Graphs on Heterogeneous Platforms Tchimou research has been done in the context of single homogeneous clus- ters, heterogeneous platforms have become) a novel "virtual" cluster methodology for handling platform het- erogeneity; (ii) a novel task placement

  14. Santee-1-E Wholesale Power Rate Schedule | Department of Energy

    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'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate

  15. Santee-2-E Wholesale Power Rate Schedule | Department of Energy

    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'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate2-E

  16. Schedules

    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 > TheNuclearHomeland andEffectsScanning/TransmissionScheduled

  17. Rate schedule

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

    kWh 9302015 Demand Charge SLIP 5.18kW-month 9302015 Energy Charge SLIP 12.19 millskWh 9302015 Cost Recovery Charge (CRC) SLIP 0 millskWh 9302015 Transmission Service...

  18. Rates and Repayment Services

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

    Tariff Rates FY 2015 Rates and Rate Schedules **Effective October 1, 2014** FY 2014 Rates and Rate Schedules FY 2013 Rates and Rate Schedules FY 2012 Rates and Rate Schedules FY...

  19. RATES

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

    Marketing > RATES RATES Current Rates Past Rates 2006 2007 2008 2009 2010 2011 2012 Rates Schedules Power CV-F13 CPP-2 Transmissions CV-T3 CV-NWT5 PACI-T3 COTP-T3 CV-TPT7 CV-UUP1...

  20. Rates and Repayment Services

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

    Customer Letter - Preliminary Review of Drought Adder Component for 2011 Firm Power Rates 2015 Rates and Rate Schedule - Current * 2010 Rates and Rate Schedule 2009 Rates and...

  1. Rates and Repayment Services

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

    Rates and Repayment Services Consolidated Rate Schedules FY 2015 Consolidated Rate Schedules FY 2014 Rates BCP Annual Rate Process Central Arizona Project Transmission Rate Process...

  2. Optimal Scheduling for Constant-Rate Multi-Mode Systems Rajeev Alur

    E-Print Network [OSTI]

    Alur, Rajeev

    -mode systems are hybrid systems that can switch freely among a finite set of modes, and whose dynamics Keywords Multi-Mode Systems, Cyber-Physical Systems, Peak Mini- mization, Green Scheduling, Hybrid Automata "heating, ventilation, and air conditioning" (HVAC) systems. The correlation between extreme weather

  3. update: Species–area curves and the estimation of extinction rates

    E-Print Network [OSTI]

    Beck, Jan

    2011-01-01T23:59:59.000Z

    2011)  Extinctions:  consider  all  species.   Nature, 474, Species–area  relationships  always overestimate extinction and the estimation of extinction rates  The  species–area 

  4. Assessment of crack opening area for leak rates

    SciTech Connect (OSTI)

    Sharples, J.K.; Bouchard, P.J.

    1997-04-01T23:59:59.000Z

    This paper outlines the background to recommended crack opening area solutions given in a proposed revision to leak before break guidance for the R6 procedure. Comparisons with experimental and analytical results are given for some selected cases of circumferential cracks in cylinders. It is shown that elastic models can provide satisfactory estimations of crack opening displacement (and area) but they become increasingly conservative for values of L{sub r} greater than approximately 0.4. The Dugdale small scale yielding model gives conservative estimates of crack opening displacement with increasing enhancement for L{sub r} values greater than 0.4. Further validation of the elastic-plastic reference stress method for up to L{sub r} values of about 1.0 is presented by experimental and analytical comparisons. Although a more detailed method, its application gives a best estimate of crack opening displacement which may be substantially greater than small scale plasticity models. It is also shown that the local boundary conditions in pipework need to be carefully considered when evaluating crack opening area for through-wall bending stresses resulting from welding residual stresses or geometry discontinuities.

  5. FRN & Rate Schedules

    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. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederal ColumbiaASCR2FOR THEFNAL8

  6. FRN and Rate Schedules

    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. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederal ColumbiaASCR2FOR

  7. 2012 Transmission Rate Schedules

    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(ANL-IN-03-032) -Less isNFebruary 2004August 2011CHPRC ReportKristen Nicole2012 2014

  8. A landslide risk rating system for the Baguio City, Philippines area

    E-Print Network [OSTI]

    Saldivar-Sali, Artessa Niccola D., 1980-

    2004-01-01T23:59:59.000Z

    This research formulates a LANDSLIDE RISK RATING SYSTEM for the Greater Baguio area in the Philippines. It is hoped that the tool will be made a part of the physical/urban planning process when used by engineers and planners ...

  9. The Schedule

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

    1997-03-28T23:59:59.000Z

    The schedule is one of the building blocks for project development. A schedule helps determine the duration of the project, the critical activities, and when funds are required. This chapter will briefly discuss some scheduling basics.

  10. Pushing schedule derivation method

    SciTech Connect (OSTI)

    Henriquez, B. [Compania Siderurgica Huachipato S.A., Talcahuano (Chile)

    1996-12-31T23:59:59.000Z

    The development of a Pushing Schedule Derivation Method has allowed the company to sustain the maximum production rate at CSH`s Coke Oven Battery, in spite of having single set oven machinery with a high failure index as well as a heat top tendency. The stated method provides for scheduled downtime of up to two hours for machinery maintenance purposes, periods of empty ovens for decarbonization and production loss recovery capability, while observing lower limits and uniformity of coking time.

  11. RATES

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

    Planning & Projects Power Marketing Rates You are here: SN Home page > Power Marketing > RATES Rates and Repayment Services Rates Current Rates FY 15 PRR worksheet (PDF - 31K) FY...

  12. RATES

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

    RATES Rates Document Library SNR Rates Process Calendar (PDF - 171K) Procedures Informal Process Transmission Action Items List (PDF - 144K) Power Action Item List updated on...

  13. Estimation of Leak Rate from the Emergency Pump Well in L-Area Complex Basin

    SciTech Connect (OSTI)

    Duncan, A

    2005-12-19T23:59:59.000Z

    This report provides an estimate of the leak rate from the emergency pump well in L-basin that is to be expected during an off-normal event. This estimate is based on expected shrinkage of the engineered grout (i.e., controlled low strength material) used to fill the emergency pump well and the header pipes that provide the dominant leak path from the basin to the lower levels of the L-Area Complex. The estimate will be used to provide input into the operating safety basis to ensure that the water level in the basin will remain above a certain minimum level. The minimum basin water level is specified to ensure adequate shielding for personnel and maintain the ''as low as reasonably achievable'' concept of radiological exposure. The need for the leak rate estimation is the existence of a gap between the fill material and the header pipes, which penetrate the basin wall and would be the primary leak path in the event of a breach in those pipes. The gap between the pipe and fill material was estimated based on a full scale demonstration pour that was performed and examined. Leak tests were performed on full scale pipes as a part of this examination. Leak rates were measured to be on the order of 0.01 gallons/minute for completely filled pipe (vertically positioned) and 0.25 gallons/minute for partially filled pipe (horizontally positioned). This measurement was for water at 16 feet head pressure and with minimal corrosion or biofilm present. The effect of the grout fill on the inside surface biofilm of the pipes is the subject of a previous memorandum.

  14. Effective Rate Period

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

    10012014 - 03312015 Mid-Year Change (if applicable) 10012014 - 09302015 Power Rates Annual Revenue Requirement Rate Schedule Power Revenue Requirement 70,091,227 CV-F13...

  15. Effective Rate Period

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

    of the FY Mid-Year Change 10012013 - 03312014 04012014 - 09302014 Power Rates Annual Revenue Requirement Rate Schedule Power Revenue Requirement 73,441,557...

  16. A Preliminary Analysis of Dose Rates Associated with ITER CVCS Equipment/Area Location

    SciTech Connect (OSTI)

    Blakeman, Edward D [ORNL; Ilas, Dan [ORNL; Petrov, Andrei Y [ORNL

    2012-03-01T23:59:59.000Z

    A preliminary analysis of the ITER Chemical and Volume Control System (CVCS) Area was performed to assess dose rates outside the walls and ceiling of the facility after 1.5 years of operation at shutdown, 2 days, and 10 days after shutdown. For this purpose a simplified Monte Carlo computer model was developed using the MCNP (MCNP5 Ver. 1.51) code. Two components are included: the smaller filter tank and the larger ion exchanger. These pieces of equipment are associated with the Integrated Blanket ELM Divertor Primary Heat Transfer System, which will have the largest dose rates associated with activated corrosion products during operation in comparison with other systems. The ion exchanger contained two source regions, a 1.2-m-thick resin bed above a 0.55 m-thick skirt, and a 0.8-m-thick water region. The filter constituted an additional source. Thus the model consisted of three sources (filter, resin, water), homogeneously distributed within the appropriate source regions. However, much of the results (that address individual isotopes) are presented with the two sources in the ion exchanger combined. In these cases the sources are referred to as the 'ion exchanger source' and the 'filter source.' Dimensions for the facility and components, as well as source isotopes and strengths, and material densities, were supplied by US ITER. Because of its simplification, the model does not contain pipes. Consequently, radiation streaming through pipe penetrations, radiation emanating from the pipes, and shielding from the pipes were not considered in this analysis. Dose rates on the outside of two walls and the ceiling were calculated. The two walls are labeled as the 'long' wall (aligned with the X-axis) and the 'short' wall (aligned with the Y-axis). These walls and ceiling were nominally set to 30-cm-thick concrete. In the original analysis, standard concrete (2.3 g/cc density) was used. In addition to the shielding walls/ceiling, a floor and an additional wall opposite the long wall were added for photon scattering contributions. These were both 10-cm-thick, standard concrete structures. Other components (tanks, pipes, etc.), that were not included in the model, would potentially add additional scattering and shielding. Possibly these additional effects will be addressed in a later, more detailed analysis. The room was 29.6 m in length (X-axis), but was limited to 15 m in the model. The inside width (Y axis) and height (Z axis) were 4 m and 3.4 m, respectively. The origin for the model was located inside the room at the corner opposite the long wall and adjacent to the short wall at the floor level. The room was filled with air at standard temperature and pressure. The stainless steel (SS304) wall thicknesses for the ion exchanger and filter were 2.2 cm and 0.8 cm, respectively. The axial center of the filter was located 140 cm from the short wall and 100 cm from the long wall (outer surface). The axial center of the ion exchanger was located 440 cm from the short wall and 250 cm from the long wall (inner surface). The resin was assumed to be a homogeneous mixture of equal atom density fractions of hydrogen and carbon* at a specified density of 1.136 g/cc. The filter material was assumed to be homogeneous carbon at a specified density of 1.8 g/cc. If the filter media were stainless steel and the accumulated activity were the same, the dose rate outside the filter would be lower, provided the density of the stainless steel sintered filter material is significantly higher than 1.8g/cc. The densities of the water and air were assumed to be 1.0 g/cc and 1.096E-3 g/cc, respectively. The model included 10 small volumes placed outside the model adjacent to the wall at locations where the dose rates were expected to be highest and which showed to a degree the fall-off of the dose rate with distance along a particular wall or ceiling. These 'tally cells' are shown in Fig. 2 and are described in Table 1. Each cell had dimensions of 50 cm x 50 cm x 1 cm and was oriented so that the 1-cm-thick dimension was perpendicular to the wall again

  17. E-Print Network 3.0 - area blockage rate Sample Search Results

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

    of increase of the differential pressure across the generating bank is correlated... the heat transfer impact of fouling is an important issue, heat transfer rates are easily...

  18. 2010FirmRateAdj

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

    2015 Firm Power Rates & Rate Schedules The Pick-Sloan Missouri Basin Program--Eastern Division: Firm Electric Service Pick Sloan Missouri River -Eastern Division Rates Effective...

  19. Back-calculating emission rates for ammonia and particulate matter from area sources using dispersion modeling

    E-Print Network [OSTI]

    Price, Jacqueline Elaine

    2004-11-15T23:59:59.000Z

    backward Lagrangian stochastic model and a Gaussian plume dispersion model. This analysis assessed the uncertainty surrounding each sampling procedure in order to gain a better understanding of the uncertainty in the final emission rate calculation (a basis...

  20. A COMPARISON OF ESTIMATED AND BACKGROUND SUBSIDENCE RATES IN TEXAS-LOUISIANA GEOPRESSURED GEOTHERMAL AREAS

    E-Print Network [OSTI]

    Lee, L.M.

    2010-01-01T23:59:59.000Z

    possibly due t o oil production. Design Well. Prospect.subsidence rate caused by oil production, a total of 205 m mWithdrawal Oil and Gas Production Solution Mining B. h i C.

  1. Comparison of estimated and background subsidence rates in Texas-Louisiana geopressured geothermal areas

    SciTech Connect (OSTI)

    Lee, L.M.; Clayton, M.; Everingham, J.; Harding, R.C.; Massa, A.

    1982-06-01T23:59:59.000Z

    A comparison of background and potential geopressured geothermal development-related subsidence rates is given. Estimated potential geopressured-related rates at six prospects are presented. The effect of subsidence on the Texas-Louisiana Gulf Coast is examined including the various associated ground movements and the possible effects of these ground movements on surficial processes. The relationships between ecosystems and subsidence, including the capability of geologic and biologic systems to adapt to subsidence, are analyzed. The actual potential for environmental impact caused by potential geopressured-related subsidence at each of four prospects is addressed. (MHR)

  2. Rates and Repayment Services

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

    Rates and Repayment Services Rates Loveland Area Projects Firm Power Rates Open Access Transmission Tariff Rates Chart of Loveland Area Projects Historical Transmission Rates...

  3. Effective Rate Period

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

    charges or credits associated with the creation, termination, or modification to any tariff, contract, or rate schedule accepted or approved by the Federal Energy Regulatory...

  4. BCP Annual Rate Process

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

    2015 BCP Annual Rate Process (FY 2016 Base Charge & Rate) Informal Process Rate Activity Schedule (doc) Informal Customer Meeting Thursday March 11, 2015 at 10:30 A.M. Conf Rms 3&4...

  5. Aging Studies of Large Area Proportional Chambers under High-Rate Irradiation with $CF_4$-based Mixtures (PART 1)

    E-Print Network [OSTI]

    M. Danilov; Yu. Gilitsky; T. Kvaratschellia; L. Laptin; I. Tichomirov; M. Titov; Yu. Zaitsev

    2001-11-23T23:59:59.000Z

    Experimental conditions at the HERA-B experiment impose very strong requirements for gaseous detectors. The charged particle fluxes through the HERA-B tracking system, varying with the radial distance $R$ from the beam line, are about $2 \\times 10^{7}/R^{2}$ particles per second, and comparable to those that will be encountered by LHC experiments. The severe radiation environment of the HERA-B experiment leads to a maximum charge deposit on a wire, within the muon detector, of 200 mC/cm per year. We report recent results of aging studies performed by irradiating proportional wire chambers filled with $Ar/CF_4/CH_4$ (74:20:6), $Ar/CF_4/CH_4$ (67:30:3), $Ar/CF_4/CO_2$ (65:30:5), $Ar/CF_4$ (70:30), $CF_4/CH_4$ (90:10), $CF_4/CH_4$ (80:20) mixtures in a three different experimental setups. The size of the irradiation zone varied in the tests from 1 cm up to 500 cm. Our experience shows that the aging rate depends not only on the total collected charge, but, in addition, on the mode of operation and area of irradiation. The possible application of these results to the construction of a large area gaseous detectors for operation in high rate environments is presented.

  6. Aging Studies of Large Area Proportional Chambers under High-Rate Irradiation with $CF_4$-based Mixtures (Part 2)

    E-Print Network [OSTI]

    M. Danilov; Yu. Gilitsky; T. Kvaratschellia; L. Laptin; I. Tichomirov; M. Titov; Yu. Zaitsev

    2001-11-23T23:59:59.000Z

    Experimental conditions at the HERA-B experiment impose very strong requirements for gaseous detectors. The charged particle fluxes through the HERA-B tracking system, varying with the radial distance R from the beam line, are about $2 \\times 10^{7}/R^{2}$ particles per second, and comparable to those that will be encountered by LHC experiments. The severe radiation environment of the HERA-B experiment leads to a maximum charge deposit on a wire, within the muon detector, of 200 mC/cm per year. We report recent results of aging studies performed by irradiating proportional wire chambers filled with $Ar/CF_4/CH_4$ (74:20:6), $Ar/CF_4/CH_4$ (67:30:3), $Ar/CF_4/CO_2$ (65:30:5), $Ar/CF_4$ (70:30), $CF_4/CH_4$ (90:10), $CF_4/CH_4$ (80:20) mixtures in a three different experimental setups. The size of the irradiation zone varied in the tests from 1 cm up to 500 cm. Our experience shows that the aging rate depends not only on the total collected charge, but, in addition, on the mode of operation and area of irradiation. The possible application of these results to the construction of a large area gaseous detectors for operation in high rate environments is presented.

  7. Regional economic impacts of changes in electricity rates resulting from Western Area Power Administration`s power marketing alternatives

    SciTech Connect (OSTI)

    Allison, T.; Griffes, P.; Edwards, B.K.

    1995-03-01T23:59:59.000Z

    This technical memorandum describes an analysis of regional economic impacts resulting from changes in retail electricity rates due to six power marketing programs proposed by Western Area Power Administration (Western). Regional economic impacts of changes in rates are estimated in terms of five key regional economic variables: population, gross regional product, disposable income, employment, and household income. The REMI (Regional Impact Models, Inc.) and IMPLAN (Impact Analysis for Planning) models simulate economic impacts in nine subregions in the area in which Western power is sold for the years 1993, 2000, and 2008. Estimates show that impacts on aggregate economic activity in any of the subregions or years would be minimal for three reasons. First, the utilities that buy power from Western sell only a relatively small proportion of the total electricity sold in any of the subregions. Second, reliance of Western customers on Western power is fairly low in each subregion. Finally, electricity is not a significant input cost for any industry or for households in any subregion.

  8. Occupancy Simulation Schedule Appendix C -Occupancy Simulation Schedule

    E-Print Network [OSTI]

    Figure C.1 and Figure C.2 present the load simulation and occupancy schedules for the lab homes highly adults. The per-person sensible heat generation and occupancy profiles were mapped from previous studies lamp to simulate human occupancy; occupancy and lighting loads in other areas of the home were

  9. Chiller Start/Stop Optimization for a Campus-wide Chilled Water System with a Thermal Storage Tank Under a Four-Period Electricity Rate Schedule

    E-Print Network [OSTI]

    Zhou, J.; Wei, G.; Turner, W. D.; Deng, S.; Claridge, D.; Contreras, O.

    2002-01-01T23:59:59.000Z

    The existence of a 1.4-million-gallon chilled water thermal storage tank greatly increases the operational flexibility of a campuswide chilled water system under a four-part electricity rate structure. While significant operational savings can...

  10. Fault-Aware, Utility-Based Job Scheduling on Blue Gene/P Systems

    E-Print Network [OSTI]

    Lan, Zhiling

    for scheduling such as utilization rates and average response times have long been used to assess scheduler the balance between responsiveness and utilization rate on a dynamic basis. Further, we have developed a fault

  11. 15-Minute Scheduling Begins October 21st - October 16, 2014

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

    CommitteesTeams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: 15-Minute Scheduling Begins October 21st Posted Date:...

  12. Evaluation of using cyclocranes to support drilling & production of oil & gas in wetland areas. Sixth quarterly technical progress report, incorporating milestone schedule/status, October 1993--December 1993

    SciTech Connect (OSTI)

    Eggington, W.J.

    1994-04-01T23:59:59.000Z

    This report is a progress report on a planned program falling under wetlands area research related to drilling, production, and transportation of oil and gas resources. Specifically the planned program addresses an evaluation of using cyclocraft to transport drill rigs, mud, pipes and other materials and equipment in a cost effective and environmentally safe manner to support oil and gas drilling and production operations in wetland areas. During this period, task 5, subscale tests, and task 7, environmental impacts, were completed. Work was continued on task 10, technology transfer, and the preparation of the final report as part of task 11.

  13. Aging Studies of Large Area Proportional Chambers under High-Rate Irradiation with $CF_4$-based Mixtures (PART 1)

    E-Print Network [OSTI]

    Danilov, M; Kvaratskheliia, T; Laptin, L; Tichomirov, I; Titov, M L; Zaitsev, Yu; Gilitsky, Yu.; Zaitsev, Yu.

    2001-01-01T23:59:59.000Z

    Experimental conditions at the HERA-B experiment impose very strong requirements for gaseous detectors. The charged particle fluxes through the HERA-B tracking system, varying with the radial distance $R$ from the beam line, are about $2 \\times 10^{7}/R^{2}$ particles per second, and comparable to those that will be encountered by LHC experiments. The severe radiation environment of the HERA-B experiment leads to a maximum charge deposit on a wire, within the muon detector, of 200 mC/cm per year. We report recent results of aging studies performed by irradiating proportional wire chambers filled with $Ar/CF_4/CH_4$ (74:20:6), $Ar/CF_4/CH_4$ (67:30:3), $Ar/CF_4/CO_2$ (65:30:5), $Ar/CF_4$ (70:30), $CF_4/CH_4$ (90:10), $CF_4/CH_4$ (80:20) mixtures in a three different experimental setups. The size of the irradiation zone varied in the tests from 1 cm up to 500 cm. Our experience shows that the aging rate depends not only on the total collected charge, but, in addition, on the mode of operation and area of irradi...

  14. Aging Studies of Large Area Proportional Chambers under High-Rate Irradiation with $CF_4$-based Mixtures (Part 2)

    E-Print Network [OSTI]

    Danilov, M; Kvaratskheliia, T; Laptin, L; Tichomirov, I; Titov, M L; Zaitsev, Yu; Gilitsky, Yu.; Zaitsev, Yu.

    2001-01-01T23:59:59.000Z

    Experimental conditions at the HERA-B experiment impose very strong requirements for gaseous detectors. The charged particle fluxes through the HERA-B tracking system, varying with the radial distance R from the beam line, are about $2 \\times 10^{7}/R^{2}$ particles per second, and comparable to those that will be encountered by LHC experiments. The severe radiation environment of the HERA-B experiment leads to a maximum charge deposit on a wire, within the muon detector, of 200 mC/cm per year. We report recent results of aging studies performed by irradiating proportional wire chambers filled with $Ar/CF_4/CH_4$ (74:20:6), $Ar/CF_4/CH_4$ (67:30:3), $Ar/CF_4/CO_2$ (65:30:5), $Ar/CF_4$ (70:30), $CF_4/CH_4$ (90:10), $CF_4/CH_4$ (80:20) mixtures in a three different experimental setups. The size of the irradiation zone varied in the tests from 1 cm up to 500 cm. Our experience shows that the aging rate depends not only on the total collected charge, but, in addition, on the mode of operation and area of irradiat...

  15. Dedicated heterogeneous node scheduling including backfill scheduling

    DOE Patents [OSTI]

    Wood, Robert R. (Livermore, CA); Eckert, Philip D. (Livermore, CA); Hommes, Gregg (Pleasanton, CA)

    2006-07-25T23:59:59.000Z

    A method and system for job backfill scheduling dedicated heterogeneous nodes in a multi-node computing environment. Heterogeneous nodes are grouped into homogeneous node sub-pools. For each sub-pool, a free node schedule (FNS) is created so that the number of to chart the free nodes over time. For each prioritized job, using the FNS of sub-pools having nodes useable by a particular job, to determine the earliest time range (ETR) capable of running the job. Once determined for a particular job, scheduling the job to run in that ETR. If the ETR determined for a lower priority job (LPJ) has a start time earlier than a higher priority job (HPJ), then the LPJ is scheduled in that ETR if it would not disturb the anticipated start times of any HPJ previously scheduled for a future time. Thus, efficient utilization and throughput of such computing environments may be increased by utilizing resources otherwise remaining idle.

  16. Reviewing your schedule in Banner

    E-Print Network [OSTI]

    skorty

    2008-07-28T23:59:59.000Z

    To travel to a specific topic, please click its corresponding page number. Reviewing Your Schedule................................................... 2. Accessing Schedules from the ...

  17. UCSC EMPLOYEE HOUSING APARTMENTS APPLICATION Rental rates include: rent, refuse collection, common area utilities, groundskeeping services, and repairs and

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    UCSC EMPLOYEE HOUSING APARTMENTS APPLICATION Rental rates include: rent, refuse collection, common for current rental rates): 1 bedroom 1 bdrm deluxe 2 bdrm/1 bath 2 bdrm/2 bath) If you are interested in a two rates to eligible employees (see corresponding figures in table below). Please check the box below

  18. Semi-analytical model of brine and CO2 leakage through an abandoned plugged well. Applications for determining an Area of Review and CO2 leakage rate

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Semi-analytical model of brine and CO2 leakage through an abandoned plugged well. Applications for determining an Area of Review and CO2 leakage rate Arnaud Réveillère, Jérémy Rohmer, Frédéric Wertz / contact the leak, and of CO2,g as a first approach. Compared to the state of the art, it adds the possibility

  19. Ozone production rate and hydrocarbon reactivity in 5 urban areas: A cause of high ozone concentration in Houston

    E-Print Network [OSTI]

    petrochemical complexes in the world. As a consequence the concentration of O3 in the Houston metropolitan area from nearby petrochemical facili- ties. A comparison between Houston and 4 other cities (Nashville, TN

  20. Interactive dynamic aircraft scheduling

    E-Print Network [OSTI]

    Deckwitz, Thomas Anthony

    1984-01-01T23:59:59.000Z

    Introducing recent advances in computer technology to improve aircraft scheduling is investigated. Incorporating interactive graphics, modern database manipulation techniques, and decision support algorithms, the computer ...

  1. Wholesale Power Rate Schedules | Department of Energy

    Energy Savers [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, 2015Visiting Strong, Smart,Department ofWelcomeWhatWhite| Program

  2. Wholesale Power Rate Schedules | Department of Energy

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

    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 742Energy China 2015ofDepartment of EnergyThe U.S. DepartmentEnergy WASHINGTON, DCOctober 1,

  3. 2014-2015 Power Rate Schedules

    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(ANL-IN-03-032) -Less isNFebruaryOctober 2, 2014 2014 U.S.10 NERSC's4 Tue,4444

  4. 1. RESERVOIR PERFORMANCE ANALYSIS 1.1 Analysis of Step Rate Injection Tests in the O'Daniel Pilot Area

    E-Print Network [OSTI]

    Schechter, David S.

    - 1- 1. RESERVOIR PERFORMANCE ANALYSIS 1.1 Analysis of Step Rate Injection Tests in the O the reservoir rock. This pressure is referred as to formation parting pressure. Determination of formation demonstrates stress-sensitive behavior, one of the phenomena that influences the performance of waterflooding

  5. Preemptive scheduling with position costs

    E-Print Network [OSTI]

    In most scheduling models presented in the literature [3, 10], the cost for ... Preemptive scheduling in order to minimize the total position costs also stems.

  6. High-Rate Fabrication of a-Si-Based Thin-Film Solar Cells Using Large-Area VHF PECVD Processes

    SciTech Connect (OSTI)

    Deng, Xunming [University of Toledo] [University of Toledo; Fan, Qi Hua

    2011-12-31T23:59:59.000Z

    The University of Toledo (UT), working in concert with it’s a-Si-based PV industry partner Xunlight Corporation (Xunlight), has conducted a comprehensive study to develop a large-area (3ft x 3ft) VHF PECVD system for high rate uniform fabrication of silicon absorber layers, and the large-area VHF PECVD processes to achieve high performance a-Si/a-SiGe or a-Si/nc-Si tandem junction solar cells during the period of July 1, 2008 to Dec. 31, 2011, under DOE Award No. DE-FG36-08GO18073. The project had two primary goals: (i) to develop and improve a large area (3 ft × 3 ft) VHF PECVD system for high rate fabrication of > = 8 Å/s a-Si and >= 20 Å/s nc-Si or 4 Å/s a-SiGe absorber layers with high uniformity in film thicknesses and in material structures. (ii) to develop and optimize the large-area VHF PECVD processes to achieve high-performance a-Si/nc-Si or a-Si/a-SiGe tandem-junction solar cells with >= 10% stable efficiency. Our work has met the goals and is summarized in “Accomplishments versus goals and objectives”.

  7. Routine environmental monitoring schedule, calendar year 1998

    SciTech Connect (OSTI)

    McKinney, S.M.

    1997-11-24T23:59:59.000Z

    This document provides the Environmental Restorations Contractor (ERC) and the Project Hanford Management Contractor (PHMC) a schedule in accordance with the HNF-PRO-454, Inactive Waste Sites` HNF-PRO-455, Solid Waste 3 Management4 and BHI-EE-02, Environmental Requirements, of monitoring and sampling, routines for the near-facility environmental monitoring program during calendar year (CY) 1998. Every attempt will be made to consistently follow this schedule; any deviation from this schedule will be documented by an internal memorandum (DSI) explaining the reason for the deviation. The DSI will be issued by the scheduled performing organization and directed to Environmental Monitoring and Investigations. The survey frequencies for particular sites are determined by the technical judgment of Environmental Monitoring and investigations and may depend on the site history, radiological status, use, and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive wastes sites are scheduled to be surveyed at least annually. Any newly discovered wastes sites not documented by this schedule will be included in the revised schedule for CY 1999. The outside perimeter road surveys of 200 East and West Area and the rail survey from the 300 Area to Columbia Center will be performed in the year 2000 per agreement with Department of Energy, Richland Field Office. This schedule does not discuss staffing needs, nor does it list the monitoring equipment to be used in completing specific routines. Personnel performing routines to meet this schedule shall communicate any need for 1332 assistance in completing these routines to Radiological Control management and Environmental Monitoring and Investigations. After each routine survey is completed, a copy of the survey record, maps, and data sheets will be forwarded to Environmental Monitoring and Investigations. These routine surveys will not be considered complete until this documentation is received. At the end of each month, the ERC and PHMC radiological control organizations shall forward a copy of the Routine Signoff Sheet and a DSI validating the completion of the scheduled routine surveys for that month.

  8. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man- agement system to problems in two areas of agent and activity coordi- nation. In the paper we argue that precise speci cation of resources is important

  9. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man­ agement system to problems in two areas of agent and activity coordi­ nation. In the paper we argue that precise specification of resources is important

  10. Symmetry in Scheduling Problems

    E-Print Network [OSTI]

    2010-11-16T23:59:59.000Z

    Nov 16, 2010 ... Using operating room and power generator scheduling problems ... suggested that a class of highly symmetric covering problems called Steiner Triple Systems ... The structure of symmetry present in these problems allow for.

  11. Energy Exchange Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Exchange is now available. Attendees will have the option of attending a variety of training sessions offered within 10 tracks during the times listed below. Session details...

  12. Western-UGP Transmission and Ancillary Services Rates Customer...

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

    changes noted in the following sections: Proposed Formula Rate for Scheduling, System Control and Dispatch Service, Proposed Rate for Regulation and Frequency Response Service,...

  13. APCF Construction Schedule | Advanced Photon Source

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

    APCF Past APCF Memoranda APCF, Construction Schedule This is a tentative schedule of the daily construction at APCF. For the preliminary two to three week look ahead schedule,...

  14. CE 4990 -Construction Scheduling Integrating Cost and Schedule

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal) = BCWP/BCWS · Cost Variance (CV) = BCWP - ACWP · Cost Performance Index (CPI) = BCWP/ACWP · EAC = ACWP is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines

  15. EDF Scheduling Identical Multiprocessor Systems

    E-Print Network [OSTI]

    Navet, Nicolas

    -plate Nuclear Reactor STOP !!! Year Power density (W/cm2) P V f: Clock speed limited to less than 4 GHz #12;June Systems Solid theory (starting from the 70s) Optimal schedulers Tight schedulability tests for different

  16. Integrated production and maintenance scheduling

    E-Print Network [OSTI]

    Whitaker, Laura Oakes

    1996-01-01T23:59:59.000Z

    to simultaneously solve the electronic assembly plannmg and scheduling problem. Khoshnevis er a/ (1994) show that the integration of the assembly planning and scheduling process is possible, and favorable results can be obtained. The system developed consists... of an initial planning model, which is a rule- based model, and a simultaneous assembly planner/scheduler module, which takes the assembly plans from the initial module and schedules work, given a set of constrained resources. Dagnio (1994) discusses research...

  17. Transforming PV Installations toward Dispatchable, Schedulable...

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

    Transforming PV Installations toward Dispatchable, Schedulable Energy Solutions Transforming PV Installations toward Dispatchable, Schedulable Energy Solutions Advanced Energy...

  18. ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...

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

    RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES Administrative Management Records...

  19. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L E

    1992-01-01T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. Samples for radiological analyses include Air-Particulate Filter, gases and vapor; Water/Columbia River, Onsite Pond, Spring, Irrigation, and Drinking; Foodstuffs/Animal Products including Whole Milk, Poultry and Eggs, and Beef; Foodstuffs/Produce including Leafy Vegetables, Vegetables, and Fruit; Foodstuffs/Farm Products including Wine, Wheat and Alfalfa; Wildlife; Soil; Vegetation; and Sediment. Direct Radiation Measurements include Terrestrial Locations, Columbia River Shoreline Locations, and Onsite Roadway, Railway and Aerial, Radiation Surveys.

  20. Parallel Job Scheduling and Workloads

    E-Print Network [OSTI]

    Segall, Adrian

    Parallel Job Scheduling and Workloads Dror Feitelson Hebrew University #12;Parallel Jobs · A set · On multicores: probably more dynamic #12;MPP Parallel Job Scheduling · Each job is a rectangle in processorsXtime space · Given many jobs, we must schedule them to run on available processors · This is like packing

  1. MultipleChannel Multicast Scheduling for Scalable Bulkdata Transport \\Lambda

    E-Print Network [OSTI]

    Donahoo, Michael J.

    is the scheduling of data transmission across the multiple channels to accomodate asynchronous requests from clients) commensurate with its own rate capabilities. Variability in receiver rates can be accomodated, and the sender to accomodate asynchronous requests from clients. In this paper, we present and analyze a new multiple

  2. Instructions for reviewing/revising the Instructor Workloads in UDSIS Enter UDSIS-go to Curriculum Management>Schedule of Classes>Maintain Schedule of

    E-Print Network [OSTI]

    Zhang, Shangyou

    Management>Schedule of Classes>Maintain Schedule of Classes Enter the term, subject area and catalog numberInstructions for reviewing/revising the Instructor Workloads in UDSIS Enter UDSIS- go to Curriculum ­ click on Search. Go to the Meetings tab and confirm that the faculty ID listed in the "Instructors

  3. WAPA-169 Rate Order

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

    69 Rate Order Western is proposing adjustments to the Salt Lake City Area Integrated Projects firm power rate and the Colorado River Storage Project Transmission and ancillary...

  4. Introduction Coordinated Aggregation Resource Scheduling Reserve Scheduling Coordinated Aggregation of Distributed

    E-Print Network [OSTI]

    Resource Scheduling Reserve Scheduling Power Balance Available power g(t) - Bulk power B - Load Aggregation Resource Scheduling Reserve Scheduling Power Balance ... !" #$%&"'()*+" " ,*-*+.*-" " ,*/*)01" devil is in the details what variability? - variability in wind or rooftop solar? - what time scales

  5. Construction Schedule | Advanced Photon Source

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

    Construction Schedule Current Projects 27-ID and 35-ID APS Vibration Reporting Protocol Summary of Construction Equipment Tests and Activities Jan 2014 Past Projects APCF LOM438...

  6. Chemotherapy Operations Planning and Scheduling

    E-Print Network [OSTI]

    2010-02-13T23:59:59.000Z

    Feb 12, 2010 ... [16] studied data from an infusion clinic and found that appointment schedule that does not reflect the availability of resources is one of the ...

  7. Department of Mathematics: Courses Schedules

    E-Print Network [OSTI]

    Course Schedules. A complete list of times, room numbers, and instructors of classes offered by the Department of Mathematics. Summer 2015 · Summer 2015

  8. Schedule - 88-Inch Cyclotron

    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 > TheNuclearHomeland andEffectsScanning/Transmission ElectronSchedule

  9. Scheduled System Outages

    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 > TheNuclearHomeland andEffectsScanning/TransmissionScheduled System

  10. Weekly User Schedule

    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 >Internship Program TheSiteEurekaWeekly User Schedule Print Requests for

  11. NERSC Holiday Schedule

    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: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gif Directorate - Events -Exascale ScienceHoliday Schedule

  12. Online Energy Generation Scheduling for Microgrids with

    E-Print Network [OSTI]

    Zhang, Junshan

    Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co entitled: Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co schedul- ing. However, accurate prediction cannot be guaranteed due to the small scale of microgrids

  13. Multilevel Lot-Sizing Heuristics and Freezing the Master Production Schedule in Material Requirements Planning Systems

    E-Print Network [OSTI]

    Xie, Jinxing

    March 5, 1997 Revised October 1997 To be published in Production Planning and Control,Vol.9, No.4, 1998 Requirements Planning Systems (Subject Areas: Material Requirements Planning, Master Production Scheduling, Lot Planning, Master Production Scheduling, Lot-Sizing, Simulation) #12;Multilevel Lot-Sizing Heuristics

  14. 2012 CAMD Users Meeting Schedule

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

    Hall, LSU AgCenter, LSU Campus, Baton Rouge, LA Schedule Downloadable Schedule(.pdf) Downloadable Poster List(.pdf) 07:30 - 08:00 a.m. - Registration 08:00 a.m. - 10:00 a.m. -...

  15. Initial Studies Toward Real-Time Transmission Path Rating

    SciTech Connect (OSTI)

    Singh, Ruchi; Diao, Ruisheng; Cai, Niannian; Huang, Zhenyu; Tuck, Brian; Guo, Xinxin

    2012-07-26T23:59:59.000Z

    Demand continues to increase while transmission line construction is being constrained by multiple factors— economic, environmental, and political. Effective and efficient utilization of transmission lines is thus of great importance in an open access environment. Large blocks of power are transferred from areas with inexpensive generation to heavy load demand areas or areas with high generation costs. This results in some transmission paths being loaded closer to their path ratings, which limits further power transfer between areas. Traditionally, rating of important paths was determined off line by assuming the worst-case study scenario; once determined, it could be used for years. With increasing uncertainty arising from rapid growth of renewable energy and smart technologies, path rating studies are needed in near-real time to account for the latest system status and support a reliable and economic power grid. This paper adopts a simplified procedure based on standards of the North American Electric Reliability Corporation (NERC) to determine total transfer capability (TTC) or transfer limit for the purpose of demonstrating the benefits and necessity of real-time path rating. Initial studies are conducted to compute TTC of a two-area test system and a 39-bus test system. Results indicate that path rating can be significantly affected by loading conditions, generator schedules, system topology and other factors.

  16. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...

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

    9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) This schedule covers records documenting the...

  17. DUAL EMPLOYMENT REVISED SCHEDULE REQUEST NAME: ____________________________________________________ EMPLID: ______________________________

    E-Print Network [OSTI]

    Bolding, M. Chad

    DUAL EMPLOYMENT REVISED SCHEDULE REQUEST NAME: _______________________ DUAL EMPLOYMENT DATES: ____________________ TO ______________________ TIMES: __________________ AM SCHEDULE. IN ACCORDANCE WITH THE CLEMSON UNIVERSITY DUAL EMPLOYMENT POLICY, ALL HOURS MISSED WHILE

  18. INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS

    E-Print Network [OSTI]

    Kelly Beranger

    2012-03-22T23:59:59.000Z

    Mar 22, 2012 ... Instructions for completing schedule card web forms. The following students are required to complete schedule card web forms. • all returning ...

  19. Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies

    E-Print Network [OSTI]

    Terwilliger, Mark

    Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies ABSTRACT Heavy of minimizing the makespan for a set of preventive maintenance (PM) tasks, requiring single- or multiple approach to the SA approach for this class of PM problems. Subject Area: Preventive Maintenance, Evolution

  20. Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks

    E-Print Network [OSTI]

    Boucherie, Richard J.

    Effective Scheduling for Coded Distributed Storage in Wireless Sensor Networks Jan-Willem van Bloem in a decentralized fashion for any rate below this maximum. 1 Introduction In wireless sensor networks, reliable data storage is essential for coping with fail- ures. Wireless sensor networks consist of cooperating devices

  1. A multiperiod optimization model to schedule large-scale petroleum development projects

    E-Print Network [OSTI]

    Husni, Mohammed Hamza

    2009-05-15T23:59:59.000Z

    This dissertation solves an optimization problem in the area of scheduling large-scale petroleum development projects under several resources constraints. The dissertation focuses on the application of a metaheuristic search Genetic Algorithm (GA...

  2. Hierarchical production scheduling in the process industry

    E-Print Network [OSTI]

    Hierarchical production scheduling in the process industry Anna Lindholm Nils-Petter Nytz are handled. The activities are are denoted production scheduling (PS) and detailed production scheduling (DPS. The focus is on production scheduling for chemical process industries with continuous production

  3. Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing

    E-Print Network [OSTI]

    Marcus, Steven I.

    1 Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing Xiaodong Yao, Emmanuel on Control Applications in 2001. #12;2 Abstract Preventive Maintenance (PM) scheduling is a very challenging schedule with that of a baseline reference schedule are also presented. Index Terms preventive maintenance

  4. On-line Service Scheduling?

    E-Print Network [OSTI]

    2008-04-18T23:59:59.000Z

    §Warwick Business School, University of Warwick, Coventry, CV4 7AL, United ... corresponding service policy in order to use the limited service resource efficiently. ... manner, customer requirements, service efficiency, and system workload, etc. ...... of Scheduling: Algorithms, Models, and Performance Analysis (

  5. Energy Efficiency Exchange 2015 Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Efficiency Exchange 2015 is now available. Attendees will have the option of attending a variety of training sessions offered within 10 tracks during the times listed below....

  6. TIME SCHEDULE WINTER QUARTER 1970

    E-Print Network [OSTI]

    Kaminsky, Werner

    MASTER CON TIME SCHEDULE WINTER QUARTER 1970 ADVANCE REGISTRATION NOVEMBER 3-21 IN, please leave it or pass it along so that other students may use it. #12;Winter Quarter 1970. Examination

  7. 1710 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 21, NO. 10, DECEMBER 2003 Joint Source Coding and Data Rate Adaptation for

    E-Print Network [OSTI]

    Kuzmanovic, Aleksandar

    compression and transmitter power and rate adaptation. Our goal is to efficiently utilize transmission energy such as trans- mission power management that have received little attention pre- viously in connection with video. Transmission power management affects battery life in mobile devices, interference to other users

  8. Empirical Tracking and Analysis of the Dynamics in Activity Scheduling and Schedule Execution

    E-Print Network [OSTI]

    Zhou, Jianyu Jack

    2006-01-01T23:59:59.000Z

    Comparison of Schedule Horizon for Activities with Different Participants Table 21 ANOVA of Schedule Horizons by Gender 145 Table 22 K-Means

  9. Descriptions of Task Order Schedules and Placement of Pricing...

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

    10112007 ATTACHMENT J-5 DESCRIPTIONS OF TASK ORDER SCHEDULES AND PLACEMENT OF PRICING INFORMATION J-5.1 DESCRIPTIONS OF TASK ORDER (TO) SCHEDULES (SCHEDULE TEMPLATES...

  10. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Wholesale Power Rate Development Study (WPRDS) serves two primary purposes. It synthesizes information supplied by the other final studies that comprise the BPA rate proposal and shows the actual calculations for BPA's power rates. In addition, the WPRDS is the primary source for certain information used in establishing the power rates. Information developed in the WPRDS includes rate design (including seasonal and diurnal shapes for energy rates, demand, and load variance rates), the risk mitigation tools (Cost Recovery Adjustment Clause (CRAC), along with the [N]ational Marine Fisheries Service [F]ederal Columbia River Power System [B]iological Opinion (NFB) Adjustment, the Emergency NFB Surcharge, and Dividend Distribution Clause (DDC)), development of the Slice rate, and all discounts and other adjustments that are included in the rate schedules and the General Rate Schedule Provisions. The WPRDS also includes the description of the methodology for the Cost of Service Analysis (COSA), and the various rate design steps necessary to establish BPA's power rates. The WPRDS also shows the calculations for inter-business line revenues and expenses, the revenue forecast and, finally, includes a description of all of the rate schedules. The actual rate schedules are shown in ''Administrator's Final Record of Decision (ROD), Appendix A: 2007 Wholesale Power Rate Schedules and General Rate Schedule Provisions, WP-07-A-02''. The WPRDS also includes the Partial Resolution of Issues, shown in Attachment 1 of the ROD. The Partial Resolution of Issues affected many of the features described in this study. These are noted where appropriate.

  11. High rate resistive plate chambers: An inexpensive, fast, large area detector of energetic charged particles for accelerator and non-accelerator applications

    SciTech Connect (OSTI)

    Wuest, C.R.; Ables, E.; Bionta, R.M.; Clamp, O.; Haro, M.; Mauger, G.J.; Miller, K.; Olson, H.; Ramsey, P.

    1993-05-01T23:59:59.000Z

    Resistive Plate Chambers, or RPCs, have been used until recently as large detectors of cosmic ray muons. They are now finding use as fast large-area trigger and muon detection systems for different high energy physics detectors such the L3 Detector at LEP and future detectors to be built at the Superconducting Super Collider (SSC) and at the Large Hadron Collider (LHC) at CERN. RPC systems at these accelerators must operate with high efficiency, providing nanosecond timing resolution in particle fluences up to a few tens of kHz/cm{sup 2} -- with thousands of square meters of active area. RPCs are simple and cheap to construct. The authors report here recent work on RPCs using new materials that exhibit a combination of desirable RPC features such as low bulk resistivity, high dielectric strength, low mass, and low cost. These new materials were originally developed for use in electronics assembly areas and other applications, where static electric charge buildup can damage sensitive electrical systems.

  12. Rates & Repayment

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

    Environmental Review-NEPA Financial Data Operations Planning & Projects Power Marketing Rates Rate Adjustments Transmission Ancillary Services Rates WAPA-137 Rate Order Rates and...

  13. An Algorithm to Convert Wafer to Calendar-Based Preventive Maintenance Schedules for Semiconductor Manufacturing Systems1

    E-Print Network [OSTI]

    Fernandez, Emmanuel

    An Algorithm to Convert Wafer to Calendar-Based Preventive Maintenance Schedules for Semiconductor}@ececs.uc.edu Abstract-- The work presented here is related to the area of Optimal Preventive Maintenance (PM) Scheduling. Preventive Maintenance (PM) is a standard practice followed to increase reliability and availability

  14. Scheduling with alternatives: a link between process planning and scheduling

    E-Print Network [OSTI]

    ®ned estimate of the eective due date (slack) for each job at each machine; and (b) in the current simulation iteration, jobs are dispatched at each machine in order of increasing slack. Iterations of the scheduling is a commitment of resources. Most process planning systems assume an in®nite capacity of resources on the shop

  15. Scheduling a Metacomputer With Uncooperative Sub-schedulers ?

    E-Print Network [OSTI]

    Feitelson, Dror

    metacomputing project. A real metacomputer management system will not gain exclusive access to all its resources algorithm has to deal with a set of local sub-schedulers performing individual machine management. Based the algorithms currently used in metacomputer management systems. 1 Introduction Ever since 1992 when the term

  16. Energy Efficient Scheduling for Real-Time Systems

    E-Print Network [OSTI]

    Gupta, Nikhil

    2012-02-14T23:59:59.000Z

    The goal of this dissertation is to extend the state of the art in real-time scheduling algorithms to achieve energy efficiency. Currently, Pfair scheduling is one of the few scheduling frameworks which can optimally schedule a periodic real...

  17. Optimal scheduling of fighter aircraft maintenance

    E-Print Network [OSTI]

    Cho, Philip Y

    2011-01-01T23:59:59.000Z

    The effective scheduling of fighter aircraft maintenance in the Air Force is crucial to overall mission accomplishment. An effective maintenance scheduling policy maximizes the use of maintenance resources and aircraft ...

  18. Human aspects of scheduling : a case study

    E-Print Network [OSTI]

    Boasson, Yishai, 1973-

    2006-01-01T23:59:59.000Z

    This work presents a look at real-life production-floor scheduling, comparing and contrasting it to both normative OR theory and Cognitive Psychology theory. Relevant literature in OR, scheduling and psychology is reviewed, ...

  19. Sensitivity Analysis of List Scheduling Heuristics

    E-Print Network [OSTI]

    Kolen, A.W. J.

    When jobs have to be processed on a set of identical parallel machines so as to minimize the makespan of the schedule, list scheduling rules form a popular class of heuristics. The order in which jobs appear on the list ...

  20. Distributed scheduling for efficient HVAC precooling operations

    E-Print Network [OSTI]

    Yang, Su

    2014-01-01T23:59:59.000Z

    of supply and return fans for HVAC systems under di?erentOp- timal Scheduling of HVAC Pre-cooling Operations withScheduling for E?cient HVAC Pre-cooling Operations ? Yang

  1. ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC...

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

    7: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC, ARCHITECTURAL, ENGINEERING, AND FACILITY MANAGEMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC,...

  2. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    2015-02-07T23:59:59.000Z

    Nov 17, 2014 ... maintenance constraints, blending and shared resources. ...... tegrated fixed time interval preventive maintenance and production for schedul-.

  3. Scheduling Flexible Maintenance Activities subject to Job ...

    E-Print Network [OSTI]

    2010-04-14T23:59:59.000Z

    Apr 3, 2010 ... models by allowing a flexible maintenance schedule. Specifically, under restrictions determined by the respective setting, maintenance ...

  4. DOERS Records Schedule Cross Index to DOE Administrative Records...

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

    SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC, ARCHITECTURAL, ENGINEERING, AND FACILITY MANAGEMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC,...

  5. Optimization of Injection Scheduling in

    E-Print Network [OSTI]

    Stanford University

    SGP-TR-I12 Optimization of Injection Scheduling in Geothermal Fields James Lovekin May 1987&injection optimization problem is broke$ into two subpmbkm:(1) choosing a configuration of injectorsfrom an existing set is defined as the fieldwide break- through lindex, B. Injection is optimized by choosing injection wells

  6. CBR-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes |Big

  7. CC-1-I Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer Review |PeerOnes

  8. CEK-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6 (2-91)A2015 Peer ReviewCCSCEAJune

  9. CK-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March 2013CIGNLFeatured

  10. CM-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report, March003MEAM, MDEA, and SMEPA

  11. CSI-1-H Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,TheEnergy December 14, 2007Workshop TranscriptSouthern

  12. VA-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2 1

  13. VA-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2

  14. VA-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1 2to

  15. VA-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 1

  16. VANC-1 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn AprilA group current C3EDepartment ofPrivilegesUnauthorized Access | Department2 16 I

  17. Duke-1-E Wholesale Power Rate Schedule | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhat

  18. Duke-2-E Wholesale Power Rate Schedule | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov -Purpose(FY)TheAWhatCentral

  19. CBR-1-H Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing atGreenhouse GasesRespond1CALIFORNIAReview

  20. CTV-1-H Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif CSS

  1. CTVI-1-A Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSS Letter - Final.tif CSS Letter - Final.tif

  2. JW-1-J Wholesale Power Rate Schedule | Department of Energy

    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(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J

  3. JW-2-F Wholesale Power Rate Schedule | Department of Energy

    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(FactDepartment ofLetter Report: I11IG002RTC3 | 12/1/2014 |Is5:It'sA P21-J2-F

  4. Pump-1-A Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A

  5. Pump-2 Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR - TProcuring SolarNo. 195 -Pueblo de San Ildefonso Pueblo1-A2

  6. Regulation-1 Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -Department of Energyas of 7/16/2015

  7. Replacement-1 Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -Department of Energyasto theandRenewableReno

  8. SOCO-1-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment of1-E

  9. SOCO-2-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment

  10. SOCO-3-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E

  11. SOCO-4-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSARDevelopmental Assignment |SHEPHERDSEnergyDepartment3-E4-E

  12. AP-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t: (205)Thisand

  13. AP-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:

  14. AP-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom power

  15. AP-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015ofDepartmentDepartment of2 of 5) ALARA TrainingANDREW W. TUNNELL t:to whom

  16. Figure 3. Production Schedules at Two Development Rates

    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 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, WetGasCubic3 PC's and3.

  17. ALA-1-N Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment of EnergyEnergyProposed -Systems |

  18. MISS-1-N Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas »ofMarketing |Prepare

  19. Regulation-1 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptember 2010InJanuary 29,3, 2012Visitors Can Register

  20. Replacement-2-A Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy 1.Department

  1. Replacement-3 Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, an OHASeptemberAssessments | Department of Energy

  2. SOCO-1-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, anEnergyDepartment ofNoneORDERNational WindSNR Denton US LLP 1301

  3. Santee-1-E Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E

  4. Santee-2-E Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of Reported1-E2-E

  5. Santee-3-E Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of

  6. Santee-4-E Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of4-E Wholesale

  7. MISS-1-N Wholesale Power Rate Schedule | Department of Energy

    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(FactDepartment ofLetterEconomyDr. ErnestMID-CAREER RETIREMENTMISS-1-N Wholesale

  8. CTV-1-H Wholesale Power Rate Schedule | Department of Energy

    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 Your Destiny: Theof Energy Change Request | Domain NameEnergy CTTRANSIT Operates

  9. Duke-1-E Wholesale Power Rate Schedule | Department of Energy

    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 Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal Register / Vol. 73, No. 219Does

  10. NC-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy ChinaofSchaeferApril 1,(EAC)TABLEChallenges are Associated withandGasVirginia

  11. Duke-3-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a BuildingNone

  12. Duke-4-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China 2015 Business42.1Energy | DepartmenttheFebruarySunShotSUMMARYis from a

  13. Pump-2 Wholesale Power Rate Schedule | Department of Energy

    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'tOrigin of ContaminationHubs+ ReportEnergyProviding GridCommercialPublications022 *PumpPump-2

  14. Winter Recess Dining Room Schedule 2013-2014 Lakeshore Area

    E-Print Network [OSTI]

    Liblit, Ben

    10:30AM-12AM Bean & Creamery 8:00AM-4:30PM 9AM-8:30PM 9AM-12AM Elizabeth Waters* 1:15PM Friday, Elizabeth Waters and Four Lakes Market will open at 7AM to allow you to have breakfast before your exams. Elizabeth Waters will feature continental breakfast from 7AM-10:30AM. * On Saturday, December 21, 2013, Four

  15. Bat Surveys of Retired Facilitiies Scheduled for Demolition by Washington Closure Hanford

    SciTech Connect (OSTI)

    Gano, K. A.; Lucas, J. G.; Lindsey, C. T.

    2011-06-30T23:59:59.000Z

    This project was conducted to evaluate buildings and facilities remaining in the Washington Closure Hanford (WCH) deactivation, decontamination, decommissioning, and demolition schedule for bat roost sites. The project began in spring of 2009 and was concluded in spring of 2011. A total of 196 buildings and facilities were evaluated for the presence of bat roosting sites. The schedule for the project was prioritized to accommodate the demolition schedule. As the surveys were completed, the results were provided to the project managers to facilitate planning and project completion. The surveys took place in the 300 Area, 400 Area, 100-H, 100-D, 100-N, and 100-B/C Area. This report is the culmination of all the bat surveys and summarizes the findings by area and includes recommended mitigation actions where bat roosts were found.

  16. Routine environmental monitoring schedule, calendar year 1995

    SciTech Connect (OSTI)

    Schmidt, J.W.; Markes, B.M.; McKinney, S.M.

    1994-12-01T23:59:59.000Z

    This document provides Bechtel Hanford, Inc. (BHI) and Westinghouse Hanford Company (WHC) a schedule of monitoring and sampling routines for the Operational Environmental Monitoring (OEM) program during calendar year (CY) 1995. Every attempt will be made to consistently follow this schedule; any deviation from this schedule will be documented by an internal memorandum (DSI) explaining the reason for the deviation. The DSI will be issued by the scheduled performing organization and directed to Near-Field Monitoring. The survey frequencies for particular sites are determined by the technical judgment of Near-Field Monitoring and may depend on the site history, radiological status, use and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive wastes sites are scheduled to be surveyed at least annually. Any newly discovered wastes sites not documented by this schedule will be included in the revised schedule for CY 1995.

  17. Spent nuclear fuel project integrated schedule plan

    SciTech Connect (OSTI)

    Squires, K.G.

    1995-03-06T23:59:59.000Z

    The Spent Nuclear Fuel Integrated Schedule Plan establishes the organizational responsibilities, rules for developing, maintain and status of the SNF integrated schedule, and an implementation plan for the integrated schedule. The mission of the SNFP on the Hanford site is to provide safe, economic, environmentally sound management of Hanford SNF in a manner which stages it to final disposition. This particularly involves K Basin fuel.

  18. Algorithms for Temperature-Aware Task Scheduling in Microprocessor Systems

    E-Print Network [OSTI]

    Chrobak, Marek; Hurand, Mathilde; Robert, Julien

    2008-01-01T23:59:59.000Z

    We study scheduling problems motivated by recently developed techniques for microprocessor thermal management at the operating systems level. The general scenario can be described as follows. The microprocessor's temperature is controlled by the hardware thermal management system that continuously monitors the chip temperature and automatically reduces the processor's speed as soon as the thermal threshold is exceeded. Some tasks are more CPU-intensive than other and thus generate more heat during execution. The cooling system operates non-stop, reducing (at an exponential rate) the deviation of the processor's temperature from the ambient temperature. As a result, the processor's temperature, and thus the performance as well, depends on the order of the task execution. Given a variety of possible underlying architectures, models for cooling and for hardware thermal management, as well as types of tasks, this scenario gives rise to a plethora of interesting and never studied scheduling problems. We focus on s...

  19. Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint

    SciTech Connect (OSTI)

    Hendron, B.; Burch, J.; Barker, G.

    2010-08-01T23:59:59.000Z

    The installed energy savings for advanced residential hot water systems can depend greatly on detailed occupant use patterns. Quantifying these patterns is essential for analyzing measures such as tankless water heaters, solar hot water systems with demand-side heat exchangers, distribution system improvements, and recirculation loops. This paper describes the development of an advanced spreadsheet tool that can generate a series of year-long hot water event schedules consistent with realistic probability distributions of start time, duration and flow rate variability, clustering, fixture assignment, vacation periods, and seasonality. This paper also presents the application of the hot water event schedules in the context of an integral-collector-storage solar water heating system in a moderate climate.

  20. Single machine stochastic appointment sequencing and scheduling

    E-Print Network [OSTI]

    Administrator

    2010-10-22T23:59:59.000Z

    include scheduling of surgeries in an operating room (Denton, 2007, Denton and ... time duration of the jobs are random variables with known joint distribution.

  1. The Schedule - DOE Directives, Delegations, and Requirements

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

    funds are required. This chapter will briefly discuss some scheduling basics. g4301-1chp12.pdf -- PDF Document, 60 KB Writer: John Makepeace Subjects: Administration Management...

  2. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    Christina N Burt

    2014-11-30T23:59:59.000Z

    Nov 30, 2014 ... Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: a Mine Planning Case Study. Christina N Burt ...

  3. ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...

    Energy Savers [EERE]

    SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT Budget and apportionment records include the various files accumulated in the course of formulating the budget for...

  4. Scheduling Workover Rigs for Onshore Oil Production

    E-Print Network [OSTI]

    2003-06-23T23:59:59.000Z

    Scheduling Workover Rigs for Onshore Oil. Production. Dario J. Aloise, Daniel Aloise, Caroline T.M. Rocha. Universidade Federal do Rio Grande do Norte,.

  5. Impact of Independently Controlling Ventilation Rate per Person and Ventilation

    E-Print Network [OSTI]

    1 Impact of Independently Controlling Ventilation Rate per Person and Ventilation Rate per Floor Impact of Independently Controlling Ventilation Rate per Person and Ventilation Rate per Floor Area

  6. Schedule

    E-Print Network [OSTI]

    2005-03-13T23:59:59.000Z

    Grothendieck-Bertini, Fulton-Hansen connectedness theorem. (16) (EM) Simplicial complexes, Stanley-Reisner rings, polytopes, upper bound theorem.

  7. Schedule

    E-Print Network [OSTI]

    Lesson 1 Video · Lesson 1 Outline. 6/17. Lesson 2 PowerPoint (Part A) · Lesson 2 PowerPoint (Part B) · Lesson 2 Video · Lesson 2 ... Lesson 3 Video · Lesson 3 ...

  8. Schedule

    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 PossibleRadiationImplementingnpitcheResearch Briefs TheSanketPlease contact the beamline staff to

  9. Schedule optimization study implementation plan

    SciTech Connect (OSTI)

    Not Available

    1993-11-01T23:59:59.000Z

    This Implementation Plan is intended to provide a basis for improvements in the conduct of the Environmental Restoration (ER) Program at Hanford. The Plan is based on the findings of the Schedule Optimization Study (SOS) team which was convened for two weeks in September 1992 at the request of the U.S. Department of Energy (DOE) Richland Operations Office (RL). The need for the study arose out of a schedule dispute regarding the submission of the 1100-EM-1 Operable Unit (OU) Remedial Investigation/Feasibility Study (RI/FS) Work Plan. The SOS team was comprised of independent professionals from other federal agencies and the private sector experienced in environmental restoration within the federal system. The objective of the team was to examine reasons for the lengthy RI/FS process and recommend ways to expedite it. The SOS team issued their Final Report in December 1992. The report found the most serious impediments to cleanup relate to a series of management and policy issues which are within the control of the three parties managing and monitoring Hanford -- the DOE, U.S. Environmental Protection Agency (EPA), and the State of Washington Department of Ecology (Ecology). The SOS Report identified the following eight cross-cutting issues as the root of major impediments to the Hanford Site cleanup. Each of these eight issues is quoted from the SOS Report followed by a brief, general description of the proposed approach being developed.

  10. Time and event triggered communication scheduling for automotive applications

    E-Print Network [OSTI]

    Johansson, Roger

    Time and event triggered communication scheduling for automotive applications ROGER JOHANSSON and event triggered communication scheduling for automotive applications 1 ROGER JOHANSSON Department triggered communication scheduling for automotive applications ROGER JOHANSSON © ROGER JOHANSSON, 2004

  11. Rappels : piles et tas Ordonnancement (scheduling)

    E-Print Network [OSTI]

    Poinsot, Laurent

    Rappels : piles et tas Ordonnancement (scheduling) Chap. X : Ordonnancement Laurent Poinsot UMR : Ordonnancement #12;Rappels : piles et tas Ordonnancement (scheduling) Le compilateur sépare les différents objets apparaissant dans un programme dans des zones mémoires (code, données, librairies, pile). Précisons cela par un

  12. Online Deadline Scheduling with Bounded Energy Efficiency

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    Online Deadline Scheduling with Bounded Energy Efficiency Joseph Wun-Tat Chan1 , Tak-Wah Lam 2 concern when compared to throughput and the schedules targeted may be very poor in energy efficiency subject to a user-defined threshold of energy efficiency. We first show that all deterministic online

  13. STANFORD LINEAR ACCELERATOR CENTER RECORDS CONTROL SCHEDULE

    E-Print Network [OSTI]

    Wechsler, Risa H.

    to project justification, staffing, initiation, or execution; project management plans, records managementSTANFORD LINEAR ACCELERATOR CENTER PEP-II RECORDS CONTROL SCHEDULE SCOPE: This schedule covers records of the PEP-II project, regardless of format (paper, electronic, magnetic, photographic, etc

  14. SCHEDULING INTERVIEWS FOR A JOB FAIR

    E-Print Network [OSTI]

    Bartholdi III, John J.

    SCHEDULING INTERVIEWS FOR A JOB FAIR John J. Bartholdi, III Kevin L. McCroan April 4, 1989; revised April 3, 2003 Abstract We describe the design and use of a program to schedule job interviews for law firms and students at a job fair. It has been used to manage the Southeastern Public Interest Job

  15. Routine Operational Environmental Monitoring schedule, CY 1994

    SciTech Connect (OSTI)

    Schmidt, J.W.

    1993-12-01T23:59:59.000Z

    This document provides Health Physics (HP) a schedule in accordance with the Environmental Compliance Manual, WHC-CM-7-5, of monitoring and sampling routines for the Operational Environmental Monitoring (OEM) Program during calendar year (CY) 1994. The survey frequencies for particular sites are determined by the technical judgment of EES and may depend on the site history, radiological status, use, and general conditions. Additional surveys may be requested at irregular frequencies if conditions warrant. All radioactive waste sites are scheduled to be surveyed annually at a minimum. Any newly discovered waste sites not documented by this schedule will be included in the revised schedule for CY 1995. This schedule does not discuss the manpower needs nor does it list the monitoring equipment to be used in completing specific routines.

  16. Hopper scheduled maintenance tomorrow (Sept 19) and /project...

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

    scheduled maintenance tomorrow (Sept 19) and project outage Hopper scheduled maintenance tomorrow (Sept 19) and project outage September 18, 2012 by Helen He (0 Comments) There...

  17. POLICY GUIDANCE MEMORANDUM #02 Using Schedule A Hiring Authority...

    Energy Savers [EERE]

    2 Using Schedule A Hiring Authority for ARRA Positions (Expired) POLICY GUIDANCE MEMORANDUM 02 Using Schedule A Hiring Authority for ARRA Positions (Expired) THIS GUIDANCE HAS...

  18. ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...

    Energy Savers [EERE]

    RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files reflect a...

  19. ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...

    Office of Environmental Management (EM)

    ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files...

  20. General schedulability bound analysis and its applications in real-time systems

    E-Print Network [OSTI]

    Wu, Jianjia

    2007-09-17T23:59:59.000Z

    schedulability bounds for arbitrary static priority schedulers, weighted round robin schedulers, and timed token ring schedulers. Existing utilization bounds for these schedulers are obtained from the closed-form formula by direct assignment of proper parameters...

  1. NRC comprehensive records disposition schedule. Revision 3

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    Title 44 US Code, ``Public Printing and Documents,`` regulations issued by the General Service Administration (GSA) in 41 CFR Chapter 101, Subchapter B, ``Management and Use of Information and Records,`` and regulations issued by the National Archives and Records Administration (NARA) in 36 CFR Chapter 12, Subchapter B, ``Records Management,`` require each agency to prepare and issue a comprehensive records disposition schedule that contains the NARA approved records disposition schedules for records unique to the agency and contains the NARA`s General Records Schedules for records common to several or all agencies. The approved records disposition schedules specify the appropriate duration of retention and the final disposition for records created or maintained by the NRC. NUREG-0910, Rev. 3, contains ``NRC`s Comprehensive Records Disposition Schedule,`` and the original authorized approved citation numbers issued by NARA. Rev. 3 incorporates NARA approved changes and additions to the NRC schedules that have been implemented since the last revision dated March, 1992, reflects recent organizational changes implemented at the NRC, and includes the latest version of NARA`s General Records Schedule (dated August 1995).

  2. Lower-Bound Estimation for Multi-Bitwidth Scheduling Junjuan Xu*+

    E-Print Network [OSTI]

    Cong, Jason "Jingsheng"

    the design space more efficiently, lower-bound estimation of resources, as well as performance, has been][3][4][7][8][9][10]. Since the area cost of resources is directly related to the bitwidth configuration, the objectiveLower-Bound Estimation for Multi-Bitwidth Scheduling Junjuan Xu*+ , Jason Cong+ , Xu Cheng

  3. Online Scheduling Kirk Pruhs \\Lambda Jir'i Sgall y Eric Torng z

    E-Print Network [OSTI]

    Pruhs, Kirk

    that motivate the research we survey include multiuser operating systems such as Unix and Windows, web servers, database servers, name servers, and load balancers sitting in front of server farms. The area of online scheduling is much too large for a chapter sized unabridged survey. Our goal is to highlight the critical

  4. 2011 Annual Report [WESTERN AREA POWER ADMINISTRATION

    SciTech Connect (OSTI)

    none,

    2011-01-01T23:59:59.000Z

    Western’s achievements for 2011 are reported and include: Experienced a banner water year – meaning more hydropower delivered; Changed energy scheduling— to better support intermittent renewable resources; Maintained reliability— ensuring maximum use of the grid by reducing the frequency and duration of planned and unplanned outages; Connected communities— providing customers energy products and related services at cost-based rates; Managed transmission projects.

  5. Going to Work: Understanding Work Schedules

    E-Print Network [OSTI]

    Hoffman, Rosemarie

    2000-07-20T23:59:59.000Z

    have to work: John, Joyce, Jessie and Mary are full- time employees, and Jan is part-time. Each employee is required to report to This is an example of a work schedule that tells you when and what you have to do: It is best to arrive at least 5 to 15... John, Jessie Joyce Mary Wednesday Joyce, Mary John Jan Thursday Jessie, Joyce Jan Mary Friday Jan, Jessie Joyce John Saturday Mary, Joyce John Jessie Please answer the following questions about the work schedule: 1. What week is this work schedule...

  6. Power-control based scheduling for commercial transatlantic flights Husam Fahmi, Seowoo Jang and Saewoong Bahk

    E-Print Network [OSTI]

    Bahk, Saewoong

    the flight times/pattern of transatlantic flight to provide an efficient transmission schedule for all nodes. The scheme also dynamically changes transmission power according to traffic rate and node density expects high quality connectivity in any place and at any time. Cell towers utilizing 4G/3G technology

  7. WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    -mail: scheduling@mail.wvu.edu Website: http://facilitiesscheduling.wvu.edu http://webviewer.wvu.edu #12;2 WebViewer: Detailed Instructions Table of Contents Purpose of WebViewer.................................................................................................................................3 Tour of Web

  8. Underground Injection Control Fee Schedule (West Virginia)

    Broader source: Energy.gov [DOE]

    This rule establishes schedules of permit fees for state under?ground injection control permits issued by the Chief of the Office of Water Resources. This rule applies to any person who is...

  9. Scheduling and synchronization for multicore concurrency platforms

    E-Print Network [OSTI]

    Agrawal, Kunal

    2009-01-01T23:59:59.000Z

    Developing correct and efficient parallel programs is difficult since programmers often have to manage low-level details like scheduling and synchronization explicitly. Recently, however, many hardware vendors have been ...

  10. Online optimization in routing and scheduling

    E-Print Network [OSTI]

    Wagner, Michael R. (Michael Robert), 1978-

    2006-01-01T23:59:59.000Z

    In this thesis we study online optimization problems in routing and scheduling. An online problem is one where the problem instance is revealed incrementally. Decisions can (and sometimes must) be made before all information ...

  11. Thesis / Dissertation Defense Announcement and Scheduling Form

    E-Print Network [OSTI]

    Hutcheon, James M.

    Thesis / Dissertation Defense Announcement and Scheduling Form Completed form must be received of the following: Thesis Defense Dissertation Defense Public Seminar Only Thesis/Dissertation Associate Dean Only Thesis/Dissertation/Seminar location and time listed above is: Confirmed

  12. Dynamic Scheduling of Flexible Manufacturing Systems

    E-Print Network [OSTI]

    Reddy, K. Rama Bhupal

    To date, group scheduling research has primarily focused on examining the performance of different group heuristics under various experimental conditions. However, the dynamic selection of group heuristics has not received ...

  13. Production Scheduling with Energy Efficiency Constraints

    E-Print Network [OSTI]

    Lee, J.; Kozman, T. A.; Wang, X.

    2007-01-01T23:59:59.000Z

    This research is motivated by a real world production scheduling problem in a continuous manufacturing system involving multiple objectives, multiple products and multiple processing lines with various inventory, production and energy efficiency...

  14. APS Long Range Schedule FY1996

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

    Long Range Commissioning Schedule for FY1996 Date First Shift 0:00-8:00 Second Shift 8:00-16:00 Third Shift 16:00-24:00 31596 SR Studies 1-ID-A Shielding Verification SR Studies...

  15. Monitoring Building Systems for Schedule Compliance

    SciTech Connect (OSTI)

    Jensen, Andrew M.; Belew, Shan T.

    2013-02-19T23:59:59.000Z

    As Pacific Northwest National Laboratory (PNNL) initiated a Core Business Hours program, it became a challenge to ensure that the hundreds of systems campus wide were operating within their programmed schedules. Therefore, a collaborative exchange between PNNL operations and PNNL researchers developing the Decision Support for Operations and Maintenance (DSOM) software package was initiated to create a tool to solve this problem. This new DSOM tool verifies systems are operating within scheduled operation times by polling Building Automation and Control Network (BACnet) identifiers of systems’ on/off or command statuses. The tool records the time spent in operation state (ON) and totalizes each system over a rolling 7-day period, highlighting systems that are running over the scheduled hours. This snapshot view allows building management to look quickly at the entire campus to ensure that systems are not operating beyond their scheduled hours.

  16. # Team Name Captain REGULAR SEASON SCHEDULE

    E-Print Network [OSTI]

    Sheridan, Scott

    # Team Name Captain 1 2 3 4 5 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt Score Team vs. Team Score Sprt 1 vs. 2 3 vs. 4 2 vs. 3 4 vs. 5 1 vs. 3 2 vs. 5 3 vs. 5 1 vs. 4 2 vs. 4 1 vs. 5 # Team Name Captain 1 2 3 4 REGULAR SEASON SCHEDULE Sprt Score Team vs. Team Score Sprt Sprt

  17. Texas A&M scheduling algorithm

    E-Print Network [OSTI]

    Payne, Eugene Edgar

    1966-01-01T23:59:59.000Z

    TEXAS A6 M SCHEDULING ALGORITHM A Thesis By EUGENE EDGAR PAYNE Submitted to the Graduate College of the Texas AF M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE January 1966 Major Subject...: Computer Science TEXAS A&M SCHEDULING ALGORITHM A Thesis By EUGENE EDGAR PAYNE Ch trman of Committee) (Head of Department) (M ember) (M ember) January 1966 ACKNOWLEDGMENTS The author would like to express his indebtedness to Mr. James M. Nash...

  18. 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.

  19. Real Options for Project Schedules (ROPS)

    E-Print Network [OSTI]

    Ingber, Lester

    2007-01-01T23:59:59.000Z

    Real Options for Project Schedules (ROPS) has three recursive sampling/optimization shells. An outer Adaptive Simulated Annealing (ASA) optimization shell optimizes parameters of strategic Plans containing multiple Projects containing ordered Tasks. A middle shell samples probability distributions of durations of Tasks. An inner shell samples probability distributions of costs of Tasks. PATHTREE is used to develop options on schedules.. Algorithms used for Trading in Risk Dimensions (TRD) are applied to develop a relative risk analysis among projects.

  20. 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.

  1. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2009

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2009-01-20T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory for the U.S. Department of Energy. Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 450.1 and DOE Order 5400.5. This document contains the calendar year 2009 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2009, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2009.

  2. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2010

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2010-01-08T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford Site environs per regulatory requirements. This document contains the calendar year 2010 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and the Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2010, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2010.

  3. FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Send To: Video Scheduling

    E-Print Network [OSTI]

    Cakoni, Fioralba

    FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Requestor: Send To: Video Scheduling Film and Video Collection Department University of Delaware Library (302) 831-8419 FAX (302) 831-6197 Media within seven days, please check out media at the Film and Video Collection Department Service Desk

  4. Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  5. Energy Consumption Scheduling in Smart Grid:A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  6. Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

  7. Adaptive Scheduling Algorithms for Planet Searches

    E-Print Network [OSTI]

    Eric B. Ford

    2007-12-17T23:59:59.000Z

    High-precision radial velocity planet searches have surveyed over ~2000 nearby stars and detected over ~200 planets. While these same stars likely harbor many additional planets, they will become increasingly challenging to detect, as they tend to have relatively small masses and/or relatively long orbital periods. Therefore, observers are increasing the precision of their observations, continuing to monitor stars over decade timescales, and also preparing to survey thousands more stars. Given the considerable amounts of telescope time required for such observing programs, it is important use the available resources as efficiently as possible. Previous studies have found that a wide range of predetermined scheduling algorithms result in planet searches with similar sensitivities. We have developed adaptive scheduling algorithms which have a solid basis in Bayesian inference and information theory and also are computationally feasible for modern planet searches. We have performed Monte Carlo simulations of plausible planet searches to test the power of adaptive scheduling algorithms. Our simulations demonstrate that planet searches performed with adaptive scheduling algorithms can simultaneously detect more planets, detect less massive planets, and measure orbital parameters more accurately than comparable surveys using a non-adaptive scheduling algorithm. We expect that these techniques will be particularly valuable for the N2K radial velocity planet search for short-period planets as well as future astrometric planet searches with the Space Interferometry Mission which aim to detect terrestrial mass planets.

  8. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

    Kurt, Mehmet C.; Krishnamoorthy, Sriram; Agrawal, Kunal; Agrawal, Gagan

    2014-11-16T23:59:59.000Z

    In this paper, we present an approach to fault tolerant execution of dynamic task graphs scheduled using work stealing. In particular, we focus on selective and localized recovery of tasks in the presence of soft faults. We elicit from the user the basic task graph structure in terms of successor and predecessor relationships. The work stealing-based algorithm to schedule such a task graph is augmented to enable recovery when the data and meta-data associated with a task get corrupted. We use this redundancy, and the knowledge of the task graph structure, to selectively recover from faults with low space and time overheads. We show that the fault tolerant design retains the essential properties of the underlying work stealing-based task scheduling algorithm, and that the fault tolerant execution is asymptotically optimal when task re-execution is taken into account. Experimental evaluation demonstrates the low cost of recovery under various fault scenarios.

  9. Static scheduling of synchronous data flow programs for digital signal processing

    SciTech Connect (OSTI)

    Lee, E.A.; Messerschmitt, D.G.

    1987-01-01T23:59:59.000Z

    Large grain data flow (LGDF) programming is natural and convenient for describing digital signal processing (DSP) systems, but its runtime overhead is costly in real time or cost-sensitive applications. In some situations, designers are not willing to squander computing resources for the sake of programmer convenience. This is particularly true when the target machine is a programmable DSP chip. However, the runtime overhead inherent in most LGDF implementations is not required for most signal processing systems because such systems are mostly synchronous (in the DSP sense). Synchronous data flow (SDF) differs from traditional data flow in that the amount of data produced and consumed by a data flow node is specified a priori for each input and output. This is equivalent to specifying the relative sample rates in signal processing system. This means that the scheduling of SDF nodes need not be done at runtime, but can be done at compile time (statically), so the runtime overhead evaporates. The sample rates can all be different, which is not true of most current data-driven digital signal processing programming methodologies. Synchronous data flow is closely related to computation graphs, a special case of Petri nets. This self-contained paper develops the theory necessary to statically schedule SDF programs on single or multiple processors. A class of static (compile time) scheduling algorithms is proven valid, and specific algorithms are given for scheduling SDF systems onto single or multiple processors.

  10. Maintenance scheduling for modular systems-models and algorithms

    E-Print Network [OSTI]

    Zarybnisky, Eric J. (Eric Jack), 1979-

    2011-01-01T23:59:59.000Z

    Maintenance scheduling is an integral part of many complex systems. For instance, without effective maintenance scheduling, the combined effects of preventative and corrective maintenance can have severe impacts on the ...

  11. Instruction scheduling optimizations for energy efficient VLIW processors 

    E-Print Network [OSTI]

    Porpodas, Vasileios

    2013-11-28T23:59:59.000Z

    Very Long Instruction Word (VLIW) processors are wide-issue statically scheduled processors. Instruction scheduling for these processors is performed by the compiler and is therefore a critical factor for its operation. ...

  12. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    8 Pentagon F 2 week look-ahead (pdf) Long Range Schedule (pdf) LOM 438 Pentagon F, Construction Schedule Dates 416 to 607 Planned construction activities, please refer to the...

  13. Incremental temporal reasoning in job shop scheduling repair

    E-Print Network [OSTI]

    Huang, Y.

    A working predictive schedule can be useless because of the various external or internal disruptions in a job shop. Total rescheduling may cause problems such as shop floor nervousness. Thus, the job shop scheduling repair ...

  14. JLab Three-Year Schedule: Message from Hugh Montgomery | Jefferson...

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

    Dear All, Today, we posted a new three-year view of the laboratory accelerator (CEBAF) schedule. Like all long-range schedules, there are uncertainties as to whether it...

  15. Evaluating the robustness of crew schedules for rail transit systems

    E-Print Network [OSTI]

    Ravichandran, Harshavardhan

    2013-01-01T23:59:59.000Z

    Crew scheduling has traditionally been the last step in the process of service planning, and it has traditionally aimed at minimizing manpower costs because it was assumed that the crew schedule does not directly impact ...

  16. University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory

    E-Print Network [OSTI]

    Nagi, Rakesh

    University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 1 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 1: Introduction Role of Scheduling Allocation

  17. Optimization models for improving periodic maintenance schedules by utilizing opportunities

    E-Print Network [OSTI]

    Patriksson, Michael

    to this as preventive maintenance activities at an oppor- tunity. The original opportunistic replacement problemOptimization models for improving periodic maintenance schedules by utilizing opportunities Torgny of Technology Abstract We present mathematical models for finding optimal opportunistic maintenance schedules

  18. Scope for industrial applications of production scheduling models and

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ERP Level 4 MES / CPM Production & Control Level 3 Control systems/sensors (DCS, PLC, SCADA, BMS management, planning, scheduling, quality control, recipe management, setpoint definition, integrationScope for industrial applications of production scheduling models and solution methods Iiro

  19. Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line...

    Office of Environmental Management (EM)

    Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Docket...

  20. Airline fleet assignment and schedule design : integrated models and algorithms

    E-Print Network [OSTI]

    Lohatepanont, Manoj, 1974-

    2002-01-01T23:59:59.000Z

    In scheduled passenger air transportation, airline profitability is critically influenced by the airline's ability to construct flight schedules containing flights at desirable times in profitable markets. In this dissertation, ...

  1. Gain-scheduled nonlinear control of u-tube steam generators at low powers

    E-Print Network [OSTI]

    Menon, Sunil Kumar

    1990-01-01T23:59:59.000Z

    Pressure, Pa. GW* avera. e recirculation flow rate, k /s. Disturbance Descri tion Hot-leg temperature, 'F. Primary mass flow rate, kg/s. Steam flow rate, kg/s. Feedwater temperature, 'F. Primary pressure. Pa. * Steam Dome-Downcomer ~ Geometrically.../LTR Compensstors. . . . . . . . . 5 cj 60 62 66 70 75 LINEAR COMPENSATOR DESIGN AND GAIN-SCHEDULING . . 76 V. 1 Introduction 76 CHAPTER Pa. ge V. 2 Design of the LQG/LTR Compensators for the UTSG V. 3 Analysis of the Linear Compensators . . V. 4 Gain...

  2. Delay-aware Scheduling in Wireless Coding Networks: To Wait or Not to Wait

    E-Print Network [OSTI]

    Ramasamy, Solairaja

    2012-02-14T23:59:59.000Z

    for packet schedules f1,0,1,1,0g and f0; 0; 1; 0; 1g. : : 37 10 Tradeo between delay and transmissions in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:5; 0:5) : : : : : : : : : : : : : 42 11 Comparison of the minimum average cost (per... packet) in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:5; 0:5) : : : : : : : 43 12 Tradeo between delay and transmissions in a single hyperlink with Bernoulli arrival rates (p1; p2) = (0:9; 0:3) : : : : : : : : : : : : : 43 13...

  3. Wireless Scheduling with Power Control Magnus M. Halldorsson

    E-Print Network [OSTI]

    Halldórsson, Magnús M.

    Wireless Scheduling with Power Control Magn´us M. Halld´orsson September 27, 2010 Abstract We the time for satisfying all requests. We study here the combined problem of scheduling and power control on the power control version, where we also choose the power settings for the links. The scheduling problem

  4. Save & Schedule Reports for Delivery SavePromptsHaveDelivered

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Save & Schedule Reports for Delivery Cognos Reporting Job Aid SavePromptsHaveDelivered Last Updated 8/31/2011 mac © 2011 Northwestern University FMS113 Saving and Scheduling Reports Page 1 of 7 This job aid documents a process you can follow when you want to save prompts and schedule automatic email

  5. Inversed Temperature Dependence Aware Clock Skew Scheduling for Sequential

    E-Print Network [OSTI]

    Kuzmanovic, Aleksandar

    Inversed Temperature Dependence Aware Clock Skew Scheduling for Sequential Circuits Jieyi Long}@eecs.northwestern.edu Abstract -- We present an Inversed Temperature Dependence (ITD) aware clock skew scheduling framework, we propose an algorithm for synergistic temperature aware clock skew scheduling and dual

  6. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-aware scheduling under reliability and makespan constraints Guillaume Aupy, Anne Benoit and complementary. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both this interval at speed f. Energy-aware scheduling aims at minimizing the energy consumed during the execution

  7. Energy-aware scheduling: models and complexity results

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy-aware scheduling: models and complexity results Guillaume Aupy (1st year PhD student) LIP several energy-aware scheduling algorithms whose design is optimized for different speed models. Dynamic plans. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both

  8. Job Scheduling Scheme for Pure Space Sharing among Rigid Jobs

    E-Print Network [OSTI]

    Feitelson, Dror

    Job Scheduling Scheme for Pure Space Sharing among Rigid Jobs Kento Aida1, Hironori Kasahara2. This paper evaluates the performance of job scheduling sche- mes for pure space sharing among rigid jobs. Conventional job scheduling schemes for the pure space sharing among rigid jobs have been achieved by First

  9. Eect of Job Size Characteristics on Job Scheduling Performance

    E-Print Network [OSTI]

    Feitelson, Dror

    Eect of Job Size Characteristics on Job Scheduling Performance Kento Aida Department an ap- propriate scheduling algorithm that schedules mul- tiple jobs on the computer system eciently. The goal of the work presented in this paper is to inves- tigate mechanisms how job size characteristics

  10. Energy Conscious Scheduling Johnatan E. Pecero

    E-Print Network [OSTI]

    Lefèvre, Laurent

    Energy Conscious Scheduling Johnatan E. Pecero University of Luxembourg January 18, 2012 Green Days of Luxembourg Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy, microsoft) 9 Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy

  11. SCHEDULING CEMENT PLANTS WITH ENERGY CONSTRAINTS

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    SCHEDULING CEMENT PLANTS WITH ENERGY CONSTRAINTS Pedro M. Castro Ignacio E. Grossmann Iiro K Meeting 4 #12;5 ABB PROJECT #12;INTRODUCTION Cement producers currently under pressure to produce Contracts agreed between electricity supplier and cement plants (planning level) Energy cost [$/k

  12. SEMINAR SCHEDULE Friday, January 24, 2014

    E-Print Network [OSTI]

    Hayden, Nancy J.

    SEMINAR SCHEDULE Friday, January 24, 2014 Health Care Policy & Implementation in an Age of Reform, 2014 Accountable Care Organizations Friday, May 2, 2014 The Role of Health Informatics in Reforming system operates Consider how future health care reform in Vermont and the U.S. might affect your

  13. High Noon Lecture Series 2012 Fall Schedule

    E-Print Network [OSTI]

    signed the Affordable Care Act into law. Some health insurance reforms have already taken place at how important arenas of constitutional law, from health care reform to abortion to affirmative actionHigh Noon Lecture Series 2012 Fall Schedule September 19 "Deciphering the Affordable Care Act" Glen

  14. robust passenger oriented airline scheduling - Optimization Online

    E-Print Network [OSTI]

    Luis

    2010-10-29T23:59:59.000Z

    have historically been separated and optimized in a sequential manner. ... objectives are passengers' satisfaction and operator costs. We try to .... a computerized schedule construction system that begins by generating demand using a ...... Environmental Engineering and the Engineering Systems, Massachusetts Institute of.

  15. Optimization of Logic Programs with Dynamic Scheduling

    E-Print Network [OSTI]

    Stuckey, Peter J.

    of program transformations designed to reduce this additional over­ head, while preserving the operational using high­level program transformation was already illustrated in [?]. However, optimizationOptimization of Logic Programs with Dynamic Scheduling Germ'an Puebla Facultad de Inform

  16. ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    activities: the preventive maintenance, whose activities can be long term planned, and the correctiveROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE François MARMIER , Christophe VARNIER. Especially in the field of maintenance services where the different practical knowledge or skills

  17. Dynamic Scheduling of Maintenance Activities Under Uncertainties

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of the required treatment. There are mainly two types of maintenance activities: the preventive maintenance, whoseDynamic Scheduling of Maintenance Activities Under Uncertainties Fran¸cois Marmier, Christophe in maintenance services field where the different practical knowledges or skills are their working tools. We

  18. Impact Schedule Building Interactive Digital Libraries

    E-Print Network [OSTI]

    New Ideas Impact Schedule Building Interactive Digital Libraries of Formal Algorithmic Knowledge Winter 2002 Elaborate conceptual basis for FDL Implement Prototype Formal Digital Library Add content in formal digital libraries § The project is testing these mechanisms and tools in a prototype formal

  19. Decentralized Grid Scheduling with Evolutionary Fuzzy Systems

    E-Print Network [OSTI]

    Feitelson, Dror

    - increasing demand for computing power and storage space. While well-established approaches such as the EGEEDecentralized Grid Scheduling with Evolutionary Fuzzy Systems Alexander F¨olling, Christian Grimme of finding workload exchange policies for decentralized Computational Grids using an Evo- lutionary Fuzzy

  20. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr &Hum Resrce OLS OLS Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12;Schedule Worksheet - Table of Contents

  1. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    ;Schedule Worksheet - Table of Contents Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Music History & Theory NRES NRES-Natural Res & Environ Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12

  2. Electrical Engineering Technology (EET) LONG RANGE SCHEDULE

    E-Print Network [OSTI]

    and Machinery C T C T EET 365W Electrical Power & Machinery Laboratory C C, V V C C, V V EET 370T EnergyElectrical Engineering Technology (EET) LONG RANGE SCHEDULE Course Number and Name Fall 2010 Spr 2011 Sum 2011 Fall 2011 Spr 2012 Sum 2012 Fall 2012 Spr 2013 Sum 2013 Fall 2013 Spr 2014 Sum 2014 EET

  3. Advance Resource Provisioning in Bulk Data Scheduling

    SciTech Connect (OSTI)

    Balman, Mehmet

    2012-10-01T23:59:59.000Z

    Today?s scientific and business applications generate mas- sive data sets that need to be transferred to remote sites for sharing, processing, and long term storage. Because of increasing data volumes and enhancement in current net- work technology that provide on-demand high-speed data access between collaborating institutions, data handling and scheduling problems have reached a new scale. In this paper, we present a new data scheduling model with ad- vance resource provisioning, in which data movement operations are defined with earliest start and latest comple- tion times. We analyze time-dependent resource assign- ment problem, and propose a new methodology to improve the current systems by allowing researchers and higher-level meta-schedulers to use data-placement as-a-service, so they can plan ahead and submit transfer requests in advance. In general, scheduling with time and resource conflicts is NP-hard. We introduce an efficient algorithm to organize multiple requests on the fly, while satisfying users? time and resource constraints. We successfully tested our algorithm in a simple benchmark simulator that we have developed, and demonstrated its performance with initial test results.

  4. Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules

    SciTech Connect (OSTI)

    Center for Energy and Innovative Technologies; NEC Laboratories America Inc.; Cardoso, Goncalo; Stadler, Michael; Bozchalui, Mohammed C.; Sharma, Ratnesh; Marnay, Chris; Barbosa-Povoa, Ana; Ferrao, Paulo

    2013-10-27T23:59:59.000Z

    The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem.

  5. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2005

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2005-01-19T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs. This document contains the calendar year 2005 schedules for the routine and non-routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project.

  6. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. X, NO. X, JUNE 2008 1 Schedulability analysis of global scheduling

    E-Print Network [OSTI]

    Lipari, Giuseppe

    analysis of global scheduling algorithms on multiprocessor platforms Marko Bertogna, Michele Cirinei and sporadic real-time task sets with constrained deadlines preemptively scheduled on a multiprocessor platform to two typical scheduling algorithms: Earliest Deadline First (EDF) and Fixed Priority (FP). Then

  7. AbstractThis paper presents an implementation of a networked PI controller using a gain scheduling methodology

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    ­Internet, networks, adaptive control, DC motors, distributed control, real time system. I. INTRODUCTION RECENT and advancing trend in the networked control area is to substitute specialized industrial networksAbstract­This paper presents an implementation of a networked PI controller using a gain scheduling

  8. Short term generation scheduling in photovoltaic-utility grid with battery storage

    SciTech Connect (OSTI)

    Marwali, M.K.C.; Ma, H.; Shahidehpour, S.M. [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering] [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering; Abdul-Rahman, K.H. [Siemens Energy and Automation, Brooklyn Park, MN (United States)] [Siemens Energy and Automation, Brooklyn Park, MN (United States)

    1998-08-01T23:59:59.000Z

    This paper presents an efficient approach to short term resource scheduling for an integrated thermal and photovoltaic-battery generation. The proposed model incorporated battery storage for peak load shaving. Several constraints including battery capacity, minimum up/down time and ramp rates for thermal units, as well as natural photovoltaic (PV) capacity are considered in the proposed model. A case study composed of 26 thermal units and a PV-battery plant is presented to test the efficiency of the method.

  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. Robust optimization of dose schedules in radiotherapy

    E-Print Network [OSTI]

    Badri, Hamidreza; Leder, Kevin

    2015-01-01T23:59:59.000Z

    A major difficulty of choosing an optimal radiation schedule is the uncertainty of model parameters due to geometric and patient specific uncertainties. This paper proposes a method for determining the optimal fractionation schedule in the Linear Quadratic (LQ) model with multiple normal tissue toxicity constraints in the presence of uncertainties in model parameters. To this end, we assumed uncertainty in the LQ model can take two forms: (i) estimation errors for parameters of constant but unknown value, and (ii) stochasticity of random variables. For the unknown parameters, we formulated our problem as a conservative model whose solution is immune to the parameter drifts. When the underlying distributions of uncertain parameters are known, we developed a model which required the decision maker to specify a probability that determined the feasibility of normal tissues constraints and risk factor in the objective function. We proved that our problem can be solved efficiently through a decision variable transf...

  11. Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of

    E-Print Network [OSTI]

    Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending because a schedule without considering variable energy charges might significantly increase

  12. "EIA-914 Production Weighted Response Rates, Percent"

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

    EIA-914 Production Weighted Response Rates, Percent" "Areas",38353,38384,38412,38443,38473,38504,38534,38565,38596,38626,38657,38687,38718,38749,38777,"application...

  13. The use of a simulation model to test scheduling techniques for flexible manufacturing systems

    E-Print Network [OSTI]

    Ingalls, Ricki Gene

    1984-01-01T23:59:59.000Z

    Shop Scheduling Problem 3 FLEXIBLE MANUFACTURING SISTEMS An Analytical System The Harris Graphics System Comparisons 4 THE SIMULATION MODEL 5 TH'E EXPERIMENT 6 THE RESULTS Deterministic Setup and Run Times Stochastic Setup and Run Times... or a k-Erlang distribution. 4. The system is in steady state. 5. The number of possible states is finite. 6. Each machining center with m identical machines having a (1/m)~p service rate, is approximated to a single channel system with a service rate...

  14. SFSU Food TrUck SchedUle Schedule subject to change, follow SFSU Gator Group on Facebook and Twitter for the most up-to-date schedule.

    E-Print Network [OSTI]

    SFSU Food TrUck SchedUle Schedule subject to change, follow SFSU Gator Group on Facebook-Thur; 11am-2pm Adam's Grubtruck Asian flavors w/ a twist of good ol' American comfort food Hiyaaa a fine balance of Chinese, Korean, and Vietnamese flavors No Truck Service J-Shack fresh and organic Japanese

  15. EIS-0031: Bonneville Power Administration 1979 Wholesale Rate Increase

    Broader source: Energy.gov [DOE]

    The Bonneville Power Administration (BPA) developed this statement to explain the reasons for BPA's proposed power rate schedule, to conduct an analysis of the impacts which the proposal or alternatives thereto could have on both physical and socioeconomic characteristics of the human environment and to identify methods for mitigating the effects of the proposal.

  16. Co-scheduling of network resource provisioning and host-to-host bandwidth reservation on high-performance network and storage systems

    DOE Patents [OSTI]

    Yu, Dantong; Katramatos, Dimitrios; Sim, Alexander; Shoshani, Arie

    2014-04-22T23:59:59.000Z

    A cross-domain network resource reservation scheduler configured to schedule a path from at least one end-site includes a management plane device configured to monitor and provide information representing at least one of functionality, performance, faults, and fault recovery associated with a network resource; a control plane device configured to at least one of schedule the network resource, provision local area network quality of service, provision local area network bandwidth, and provision wide area network bandwidth; and a service plane device configured to interface with the control plane device to reserve the network resource based on a reservation request and the information from the management plane device. Corresponding methods and computer-readable medium are also disclosed.

  17. Research Areas

    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 Press Releases 2014References by WebsitehomeResearch Areas

  18. The timing behavior of message-driven distributed algorithms scheduled with real-

    E-Print Network [OSTI]

    The timing behavior of message-driven distributed algorithms scheduled with real- time scheduling simulation of a distributed system with real-time scheduling of tasks. The Problem: Since we consider message-driven algorithms, the messages influence the real- time scheduling on other nodes. This scheduling influences

  19. A pedometer-based intervention to increase physical activity : applying frequent, adaptive goals and a percentile schedule of reinforcement

    E-Print Network [OSTI]

    Adams, Marc Anthony

    2009-01-01T23:59:59.000Z

    smoking cessation using percentile schedules. Drug andthe 21st century: Moving percentile schedules into appliedstep/day using a percentile schedule of reinforcement over 5

  20. Optimization Online - Clinic Scheduling Models with Overbooking for ...

    E-Print Network [OSTI]

    Bo Zeng

    2008-02-26T23:59:59.000Z

    Feb 26, 2008 ... Finally, we perform a set of numerical experiments and provide managerial insights for health care practitioners. Keywords: clinical scheduling ...

  1. An efficient algorithm for the earliness-tardiness scheduling problem

    E-Print Network [OSTI]

    Francis Sourd

    2005-09-07T23:59:59.000Z

    Sep 7, 2005 ... An efficient algorithm for the earliness-tardiness scheduling problem. Francis Sourd (Francis.Sourd ***at*** lip6.fr) Safia Kedad-Sidhoum (Safia.

  2. Optimization Online - Stochastic Real-Time Scheduling of Wind ...

    E-Print Network [OSTI]

    Alireza Soroudi

    2015-01-03T23:59:59.000Z

    Jan 3, 2015 ... Stochastic Real-Time Scheduling of Wind-thermal Generation Units in an Electric Utility. Alireza Soroudi (alireza.soroudi ***at*** ucd.ie)

  3. On a resource-constrained scheduling problem with application to ...

    E-Print Network [OSTI]

    This paper is devoted to the study of a resource-constrained scheduling ..... account and that an assessment of the impact of such constraints on distributed.

  4. GAO-12-120G, GAO Schedule Assessment Guide

    Office of Environmental Management (EM)

    Resources 173 Table 4. Standard Data Measures for Schedule Best Practices 184 Table 5: Case Studies Drawn from GAO Reports Illustrating This Guide 191 Figures Figure 1: A...

  5. POLICY GUIDANCE MEMORANDUM #32A Schedule A Appointments of Persons...

    Energy Savers [EERE]

    A Appointments of Persons with Disabilities and Appointments for Disabled Veterans POLICY GUIDANCE MEMORANDUM 32A Schedule A Appointments of Persons with Disabilities and...

  6. Robust optimization based self scheduling of hydro-thermal Genco ...

    E-Print Network [OSTI]

    Alireza Soroudi

    2013-12-29T23:59:59.000Z

    Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed ...

  7. Water pollution Control Permit Fee Schedules (West Virginia)

    Broader source: Energy.gov [DOE]

    This rule establishes schedules of permit application fees and annual permit fees for state water pollution control permits and national pollutant discharge elimination system permits issued by the...

  8. 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...

  9. Security Improvements Project Completed Ahead of Schedule, $20...

    National Nuclear Security Administration (NNSA)

    Field Offices Welcome to the NNSA Production Office NPO News Releases Security Improvements Project Completed Ahead of Schedule, ... Security Improvements Project Completed...

  10. Pantex Plant Achieves Key Safety Milestone Ahead of Schedule...

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

    Achieves Key Safety Milestone Ahead of Schedule | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  11. assessment schedule ii: Topics by E-print Network

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

    is a challenging task as different sources should cooperate and share their computing power Weissman, Jon 195 Declarative configuration applied to course scheduling MIT -...

  12. Constraint Programming for LNG Ship Scheduling and Inventory ...

    E-Print Network [OSTI]

    2013-10-29T23:59:59.000Z

    The focus of this work is on a central operational issue in the LNG indus- try: designing schedules for the ships to deliver LNG from the production. (

  13. ESPC Task Order Schedules and Placement of Pricing Information...

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

    provides task order (TO) schedule descriptions and information on the placement of pricing for energy savings performance contracts (ESPCs). 54descriptionoftoschedulesj5....

  14. Tool for Generating Realistic Residential Hot Water Event Schedules...

    Office of Environmental Management (EM)

    Residential Hot Water Event Schedules: Preprint Presented at SimBuild 2010; New York, New York; August 1519, 2010 47685.pdf More Documents & Publications Model Simulating...

  15. Tool for Generating Realistic Residential Hot Water Event Schedules...

    Energy Savers [EERE]

    Paper NRELCP-550-47685 August 2010 Tool for Generating Realistic Residential Hot Water Event Schedules Preprint Bob Hendron and Jay Burch National Renewable Energy...

  16. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01T23:59:59.000Z

    SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIEStimes are calculated for a mining and drilling progrilln toof cost and time to compl mining and core drilling for

  17. Adaptable search neighborhoods for Resource Constrained Scheduling

    E-Print Network [OSTI]

    Balakrishnan, Ramamoorthy

    1993-01-01T23:59:59.000Z

    local optima is found). Some common characteristics of traditional local search implementations are: (i) a neighbor is generated by perturbing a feasible solution (e. g. , by swapping two jobs in a schedule), (ii) a neighborhood of a given size has a... drawback with local search methods is that they are local in scope; the optima they seek are the best in s. neighborhood of the current, point. The solution obtained by local search methods depend on the starting solution (seed). On reachiug the local...

  18. Document Status & Schedules | Department of Energy

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

    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 33Frequently20,000 Russian NuclearandJunetrack graphics4Dimitri Kusnezov - ChiefOrdersSchedules of

  19. Work Schedules | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    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 742EnergyOn AprilA groupTuba City,EnrichedSupplemental DirectivesWork Schedules | National Nuclear

  20. Current Long-Term Operating Schedule

    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 742EnergyOnItem NotEnergy,ARMFormsGas SeparationsRelevant toSiteCurrent Long-Term Operating Schedule

  1. Energy-Aware Duplication Strategies for Scheduling Precedence-Constrained Parallel Tasks on Clusters

    E-Print Network [OSTI]

    Qin, Xiao

    Energy-Aware Duplication Strategies for Scheduling Precedence- Constrained Parallel Tasks can help in conserving energy. Our energy-aware scheduling strategies are conducive to balancing Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling

  2. 2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices...

    Energy Savers [EERE]

    2-05-30 GAO-12-120G GAO schedule assessment guide - best practices for project schedules vexposure draft 2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices for...

  3. Interactive dynamic aircraft scheduling and fleet routing with the out-of-kilter algorithm

    E-Print Network [OSTI]

    Van Cotthem, Jan

    1986-01-01T23:59:59.000Z

    A decision support system is introduced that automates dynamic aircraft scheduling and fleet routing. Interactive graphics-based schedule construction and modification tools automate the dynamic scheduling of aircraft of ...

  4. Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using a Simulation-Based Approximate

    E-Print Network [OSTI]

    Fernandez, Emmanuel

    Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling schedules. I. INTRODUCTION In semiconductor manufacturing systems, or fabs, pre- ventive maintenance (PM

  5. 24.01.01.M0.06 Visitors in Hazardous Areas Page 1 of 3 STANDARD ADMINISTRATIVE PROCEDURE

    E-Print Network [OSTI]

    24.01.01.M0.06 Visitors in Hazardous Areas Page 1 of 3 STANDARD ADMINISTRATIVE PROCEDURE 24.01.01.Q0.06 Visitors in Hazardous Areas Approved September 5, 2012 Next scheduled review: September 5, 2015" or "hazardous area". Instead these are left to the judgment of reasonable and prudent persons with consideration

  6. Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs

    E-Print Network [OSTI]

    Ha, Soonhoi

    Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs Jinwoo Kim, Tae-ho Shin than the previous approaches. Keywords-Mapping, buffer size minimization, SDF graph, dynamic scheduling a model-based approach based on SDF (synchronous data flow) model. Since the parallelism of an application

  7. Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall

    E-Print Network [OSTI]

    Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall 22 November 2014 0830 - 1245 *** Physics & Astronomy info. available at www.phys.hawaii.edu *** Welcome & Overview: Prof. Pui Lam in Physical Science 217 at 0830 ** schedules for groups 1 to 10 below for 0900-1100 ** **solar observing

  8. GreenSlot: Scheduling Energy Consumption in Green Datacenters

    E-Print Network [OSTI]

    GreenSlot: Scheduling Energy Consumption in Green Datacenters Íñigo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs

  9. Real-Time Message Routing and Scheduling Ronald Koch1

    E-Print Network [OSTI]

    Nabben, Reinhard

    Real-Time Message Routing and Scheduling Ronald Koch1 , Britta Peis1 , Martin Skutella1.math.tu-berlin.de/coga/ Abstract. Exchanging messages between nodes of a network (e.g., em- bedded computers) is a fundamental issue in real-time systems involving critical routing and scheduling decisions. In order for messages

  10. Energy-Aware Meeting Scheduling Algorithms for Smart Buildings

    E-Print Network [OSTI]

    Albonesi, David H.

    Energy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches that analyze scheduled occupant activities and proactively take steps to curb building energy use. As one step

  11. Energy Efficient Scheduling with Power Control for Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy Efficient Scheduling with Power Control for Wireless Networks Bastian Katz Institute the complexity of scheduling with power control in the SINRG model of interference. Based on a novel scheme without power control are also solutions if power control is possible, power control can be exploited

  12. Wireless Scheduling with Power Control Magnus M. Halldorsson

    E-Print Network [OSTI]

    Halldórsson, Magnús M.

    Wireless Scheduling with Power Control Magn´us M. Halld´orsson February 23, 2011 Abstract We the time for satisfying all requests. We study here the combined problem of scheduling and power control constraints. In this paper, we focus on the power control version, where we also choose the power settings

  13. Single Machine Scheduling with a Non-renewable Financial Resource

    E-Print Network [OSTI]

    Magdeburg, Universität

    Single Machine Scheduling with a Non-renewable Financial Resource Evgeny R. Gafarov a , Alexander A with a non-renewable resource. For example, money or fuel provide natural examples of such a non-renewable resource. Such problems with a non-renewable resource are also referred to as financial scheduling problems

  14. Multichannel Scheduling and Its Connection to Queueing Network Control Problem

    E-Print Network [OSTI]

    Islam, M. Saif

    oc- cupancy in cognitive radio systems, and security requirements. The objective is to scheduleMultichannel Scheduling and Its Connection to Queueing Network Control Problem Pouya Tehrani , Qing weighted throughput of the network. Based on a Markov Decision Process formulation, we show

  15. Competitive Non-migratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    @liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re- search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Non-migratory Scheduling for Flow Time and Energy Tak-Wah Lam Department of Computer

  16. Competitive Nonmigratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Lam, Tak-Wah

    @liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re­ search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Non­migratory Scheduling for Flow Time and Energy Tak­Wah Lam Department of Computer

  17. The Charging-Scheduling Problem for Electric Vehicle Networks

    E-Print Network [OSTI]

    The Charging-Scheduling Problem for Electric Vehicle Networks Ming Zhu, Xiao-Yang Liu, Linghe Kong}@sjtu.edu.cn Abstract--Electric vehicle (EV) is a promising transportation with plenty of advantages, e.g., low carbon method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling (EVCS

  18. Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint

    E-Print Network [OSTI]

    Greenberg, Albert

    Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel with energy harvesting. We assume that the side information of both the channel states and energy harvesting

  19. Availability Bars for Calendar Scheduling AbstractAndrew Faulring

    E-Print Network [OSTI]

    Myers, Brad A.

    Availability Bars for Calendar Scheduling AbstractAndrew Faulring Carnegie Mellon University 5000 meeting or to what extent an existing meeting can be rescheduled. This paper introduces the "availability. Availability bars, embedded in calendar applications, can help users who manually schedule meetings

  20. On program restructuring, scheduling, and communication for parallel processor systems

    SciTech Connect (OSTI)

    Polychronopoulos, Constantine D.

    1986-08-01T23:59:59.000Z

    This dissertation discusses several software and hardware aspects of program execution on large-scale, high-performance parallel processor systems. The issues covered are program restructuring, partitioning, scheduling and interprocessor communication, synchronization, and hardware design issues of specialized units. All this work was performed focusing on a single goal: to maximize program speedup, or equivalently, to minimize parallel execution time. Parafrase, a Fortran restructuring compiler was used to transform programs in a parallel form and conduct experiments. Two new program restructuring techniques are presented, loop coalescing and subscript blocking. Compile-time and run-time scheduling schemes are covered extensively. Depending on the program construct, these algorithms generate optimal or near-optimal schedules. For the case of arbitrarily nested hybrid loops, two optimal scheduling algorithms for dynamic and static scheduling are presented. Simulation results are given for a new dynamic scheduling algorithm. The performance of this algorithm is compared to that of self-scheduling. Techniques for program partitioning and minimization of interprocessor communication for idealized program models and for real Fortran programs are also discussed. The close relationship between scheduling, interprocessor communication, and synchronization becomes apparent at several points in this work. Finally, the impact of various types of overhead on program speedup and experimental results are presented. 69 refs., 74 figs., 14 tabs.

  1. TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH

    E-Print Network [OSTI]

    Zhang, Junshan

    TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH PERFORMANCE GUARANTEE LIAN LU, JINLONG TU, CHI-KIN CHAU, MINGHUA CHEN, ZHAO XU AND XIAOJUN LIN INTRODUCTION Microgrid is an emerging- generation improves generation efficiency by 2-3x. A key problem in microgrid operations is how to schedule

  2. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    to carry out preventive maintenance at regular intervals19 . The maintenance schedule affects many short1 Optimal Maintenance Scheduling of a Gas Engine Power Plant using Generalized Disjunctive with parallel units. Gas engines are shutdown according to a regular maintenance plan that limits the number

  3. Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha , Kevin C at the front-end of a petroleum refinery. The model relies on a continuous time representation making use-412-268-7139. Email address: grossmann@cmu.edu (I.E. Grossmann) #12;2 Keywords: Refinery scheduling; Nonconvex MINLP

  4. Jitter-Approximation Tradeoff for Periodic Scheduling Zvika Brakerski

    E-Print Network [OSTI]

    Patt-Shamir, Boaz

    Jitter-Approximation Tradeoff for Periodic Scheduling Zvika Brakerski Dept. of Electrical the average period of a job in the schedule is blown up w.r.t. its requested period, and the jitter ratio with low jitter ratio allow the mobile devices to save power by hav- ing their receivers switched off

  5. Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach

    E-Print Network [OSTI]

    Feitelson, Dror

    Moldable Parallel Job Scheduling Using Job Efficiency: An Iterative Approach Gerald Sabin, Matthew OH 43201, USA, {sabin, langma, saday}@cse.ohio-state.edu Abstract. Currently, job schedulers require "rigid" job submissions from users, who must specify a particular number of processors for each paral

  6. Electric Rate Alternatives to Cogeneration

    E-Print Network [OSTI]

    Sandberg, K. R. Jr.

    "ELECTRIC RATE ALTERNATIVES TO COGENERATION" K. R. SANDBERG, JR. INDUSTRIAL ACCOUNTS MANAGER - TEXAS GULF STATES UTILITIES COMPANY BEAUMONT, TEXAS ABSTRACT This paper discusses electric rate slternatives to cogeneration for the industrisl... PERSPECTIVE Gulf States Utilities was incorporated in 1925 and is primarily in the business of generating. transmitting and distributing electricity to 555.000 customers in southeast Texas and south Louisiana. The service area extends 350 miles westward...

  7. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

    Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob

    2013-03-29T23:59:59.000Z

    The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.

  8. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2008

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2008-01-01T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory for the U.S. Department of Energy. Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 450.1, "Environmental Protection Program," and DOE Order 5400.5, "Radiation Protection of the Public and the Environment." The environmental surveillance sampling design is described in the "Hanford Site Environmental Monitoring Plan, United States Department of Energy, Richland Operations Office." This document contains the calendar year 2008 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2008, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2008.

  9. 2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.

  10. Joint Routing, Scheduling And Power Control For Multihop Wireless Networks With Multiple Antennas

    E-Print Network [OSTI]

    Vangala, Harish; Sharma, Prof Vinod

    2011-01-01T23:59:59.000Z

    We consider the problem of Joint Routing, Scheduling and Power-control (JRSP) problem for multihop wireless networks (MHWN) with multiple antennas. We extend the problem and a (sub-optimal) heuristic solution method for JRSP in MHWN with single antennas. We present an iterative scheme to calculate link capacities(achievable rates) in the interference environment of the network using SINR model. We then present the algorithm for solving the JRSP problem. This completes a feasible system model for MHWN when nodes have multiple antennas. We show that the gain we achieve by using multiple antennas in the network is linear both in optimal performance as well as heuristic algorithmic performance.

  11. 2015 PARKING PERMIT PRORATION SCHEDULE July 1, 2014 -June 30, 2015

    E-Print Network [OSTI]

    Kamat, Vineet R.

    .26 686.62 285.00 63.68 31.62 352.94 67.94 125.00 349.12 349.12 285.00 All Presidential Society permits2015 PARKING PERMIT PRORATION SCHEDULE July 1, 2014 - June 30, 2015 Retiree Retiree UM Bus Pres-Monthly Permit Rates July 15-31 147.59 1,579.33 655.50 146.62 72.83 811.71 156.21 287.50 803.08 803.08 655

  12. Scheduling on the MasPar SIMD parallel computer 

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01T23:59:59.000Z

    , or 10 (b) have finished communicating with the task. 3. The processor must not be currently executing a task. The schedule for this task graph is shown in Figure 3. This schedule shows two processors, PO and Pl, and the units of time, T. In Figure 2... queue and the precedence constraints, Figure 5 shows the time, T, when each task is scheduled onto processors PO and Pl. 13 14 12 13 10 6 7 9 5 Fig. 4. A task graph labeled by using the Coffman/Graham algorithm. P1 13 ? ? 9 7 5 3 1 P0 14 12 11...

  13. Optimization Online - Distributionally robust workforce scheduling in ...

    E-Print Network [OSTI]

    Shuangqing Liao

    2011-05-25T23:59:59.000Z

    May 25, 2011 ... A method for staffing large call centers based on stochastic fluid models. ... Staffing a call center with uncertain non-stationary arrival rate and ...

  14. Site Monitoring Area Maps

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

    to the Site Monitoring Area (SMA) The Site Monitoring Area sampler Control measures (best management practices) installed at the Site Monitoring Area Structures such as...

  15. Wildlife Management Areas (Minnesota)

    Broader source: Energy.gov [DOE]

    Certain areas of the State are designated as wildlife protection areas and refuges; new construction and development is restricted in these areas.

  16. Recovery Act: Energy Efficiency of Data Networks through Rate Adaptation (EEDNRA) - Final Technical Report

    SciTech Connect (OSTI)

    Matthew Andrews; Spyridon Antonakopoulos; Steve Fortune; Andrea Francini; Lisa Zhang

    2011-07-12T23:59:59.000Z

    This Concept Definition Study focused on developing a scientific understanding of methods to reduce energy consumption in data networks using rate adaptation. Rate adaptation is a collection of techniques that reduce energy consumption when traffic is light, and only require full energy when traffic is at full provisioned capacity. Rate adaptation is a very promising technique for saving energy: modern data networks are typically operated at average rates well below capacity, but network equipment has not yet been designed to incorporate rate adaptation. The Study concerns packet-switching equipment, routers and switches; such equipment forms the backbone of the modern Internet. The focus of the study is on algorithms and protocols that can be implemented in software or firmware to exploit hardware power-control mechanisms. Hardware power-control mechanisms are widely used in the computer industry, and are beginning to be available for networking equipment as well. Network equipment has different performance requirements than computer equipment because of the very fast rate of packet arrival; hence novel power-control algorithms are required for networking. This study resulted in five published papers, one internal report, and two patent applications, documented below. The specific technical accomplishments are the following: • A model for the power consumption of switching equipment used in service-provider telecommunication networks as a function of operating state, and measured power-consumption values for typical current equipment. • An algorithm for use in a router that adapts packet processing rate and hence power consumption to traffic load while maintaining performance guarantees on delay and throughput. • An algorithm that performs network-wide traffic routing with the objective of minimizing energy consumption, assuming that routers have less-than-ideal rate adaptivity. • An estimate of the potential energy savings in service-provider networks using feasibly-implementable rate adaptivity. • A buffer-management algorithm that is designed to reduce the size of router buffers, and hence energy consumed. • A packet-scheduling algorithm designed to minimize packet-processing energy requirements. Additional research is recommended in at least two areas: further exploration of rate-adaptation in network switching equipment, including incorporation of rate-adaptation in actual hardware, allowing experimentation in operational networks; and development of control protocols that allow parts of networks to be shut down while minimizing disruption to traffic flow in the network. The research is an integral part of a large effort within Bell Laboratories, Alcatel-Lucent, aimed at dramatic improvements in the energy efficiency of telecommunication networks. This Study did not explicitly consider any commercialization opportunities.

  17. Scheduling theory generally assumes that real-time systems are mostly composed of activities with hard

    E-Print Network [OSTI]

    Lipari, Giuseppe

    run on differ- ent underlying scheduling strategies. It is based on es- tablishing service contracts

  18. Application of the genetic algorithm for global scheduling and a single machine scheduling problem with periodic maintenance and semiresumable jobs

    E-Print Network [OSTI]

    Graves, Gregory Howard

    1998-01-01T23:59:59.000Z

    . When t & 1. 5, f(ztj &f(vi) and zi is not optimaL With this result, we propose some properties of an optimal schedule after defining some terminology. A cotrtitruousjob is a job that is processed entirely in one batch. Conversely, a split job... and inserting the maintenance after the last job that ends before T results in a feasible schedule, then this schedule is optimaL Proof. Let the jobs be reindexed according to SPT. Let kbe the largest integer such that g(s, + p, ) & T. Let F = $ (s, + p...

  19. An in-depth Analysis of Space Heating Energy Use in Office Buildings

    E-Print Network [OSTI]

    Lin, Hung-Wen

    2013-01-01T23:59:59.000Z

    infiltration rate, boiler efficiency, infiltration schedule,window area, boiler efficiency, infiltration schedule, andwindow type, boiler/furnace efficiency, envelope insulation

  20. POLICY GUIDANCE MEMORANDUM #32 Schedule A Apointments of Persons...

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

    Office of Personnel Management amended 5 CFR 213.3102(u) to make it easier to appoint people with certain disabilities using the Schedule A hiring authority. The new regulation...

  1. LCLS-scheduling-run_6_Ver4.xlsx

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

    AMO SXR XPP XCS CXI MEC Day 9 am - 9 pm Night 9 pm - 9 am Ver 3: CB 020112 LCLS Run 6 Schedule LCLS shutdown LCLS Approved Experiments for Run 6, June-December 2012...

  2. L-?Functions and Trace Formula Workshop Schedule

    E-Print Network [OSTI]

    2015-05-11T23:59:59.000Z

    L-?Functions and Trace Formula Workshop Schedule. May 11 – May 13, 2015 at Purdue University. Monday, May 11. 9:15 am – 9:30 am: Casselman/Shahidi:.

  3. Trident schedule FY15 -- rev 12-9-14.xlsx

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

    Schedule FY 2015 9-Dec-14 Date Experiment PI Chamber Pulse-length range Potential shooting days Comments 29-Sep Ion Acceleration Sasi Palaniyappan North ps 4 6-Oct 4 13-Oct...

  4. Gain scheduling for geometrically nonlinear flexible space structures

    E-Print Network [OSTI]

    Yung, Jeremy Hoyt, 1971-

    2002-01-01T23:59:59.000Z

    A gain-scheduling approach for the control of geometrically nonlinear structures is developed. The objective is to improve performance over current linear design techniques that are applied to the same control problem. The ...

  5. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    27-ID and 35-ID Past 27-ID and 35-ID Installation schedule for the sector 27 Control room. Receive materials on Friday March 10, 2014 Installation starts on Monday March 10, 2014...

  6. Time-Slotted Scheduling For Agile All-Photonic Networks

    E-Print Network [OSTI]

    are Xiao Liu, Nahid Saberi, Mark Coates and Lorne Mason. This paper is in the conference proceeding of IEEE. Nahid Saberi, proposed the frame based scheduling for AAPN, and implemented the algorithm in OPNET

  7. Scheduling to minimize power consumption using submodular functions

    E-Print Network [OSTI]

    Zadimoghaddam, Morteza

    2010-01-01T23:59:59.000Z

    We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multi-interval offline task scheduling to minimize power usage. Here each processor has an arbitrary specified power ...

  8. Scheduling optimization of a real flexible job shop including side ...

    E-Print Network [OSTI]

    2013-08-19T23:59:59.000Z

    Aug 19, 2013 ... The multitask cell at GKN Aerospace Sweden is a production cell con- ...... In order to demonstrate the effect of the squeezing procedure we solved ..... [13] J. Gao, M. Gen, L. Sun, Scheduling jobs and maintenances in flexible.

  9. A Mathematical approach applied to train scheduling in Brazilian ...

    E-Print Network [OSTI]

    2014-07-15T23:59:59.000Z

    Abstract In this paper, a mathematical approach was used to schedule trains in order to minimize the .... a range of mathematical representations and solutions methods for the specific sit- uations of the ...... Computers & Industrial Engineering.

  10. Thread Scheduling Mechanisms for Multiple-Context Parallel Processors

    E-Print Network [OSTI]

    Fiske, James A. Stuart

    1995-06-01T23:59:59.000Z

    Scheduling tasks to efficiently use the available processor resources is crucial to minimizing the runtime of applications on shared-memory parallel processors. One factor that contributes to poor processor utilization ...

  11. Optimal Design and Scheduling of Unsteady State Material Recovery Networks

    E-Print Network [OSTI]

    Rabie, Arwa H.

    2010-01-14T23:59:59.000Z

    methodologies: the first is a hierarchical multi-step methodology developed for the design and scheduling of batch water (material of interest) recycle networks. A new source- double tank-sink arrangement is introduced to overcome the limitation of samecycle...

  12. University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory

    E-Print Network [OSTI]

    Nagi, Rakesh

    University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 2 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 2: Deterministic Models Preliminaries

  13. First BPA customer schedules energy in 15-minute increments

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

    increments 10222014 12:00 AM Tweet Page Content At 11:04 a.m. on Tuesday, Portland General Electric became the first BPA customer to schedule energy in 15-minute increments....

  14. A Modular Genetic Algorithm for Scheduling Task Graphs

    E-Print Network [OSTI]

    Bhattacharyya, Shuvra S.

    for a schedule. However, these existing approaches are monolithic as they attempt to scan the entire solution of an existing chromosome). A fitness function, which measures the quality of each candidate solution according

  15. MA 224 FINAL EXAM INFORMATION The final exam is scheduled ...

    E-Print Network [OSTI]

    Devilyna L Nichols

    2007-11-14T23:59:59.000Z

    The final exam is scheduled for Monday, December 10, at 8:00 a.m. in Lambert. Fieldhouse. Seats are assigned and you should receive your assigned seat from

  16. Argonne Training Program on Extreme-Scale Computing Scheduled...

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

    Argonne Training Program on Extreme-Scale Computing Scheduled for August 2-14, 2015 Author: Brian Grabowski . January 29, 2015 Printer-friendly version ARGONNE, Ill., January 28,...

  17. Parallel parametric combinatorial search : its application to runway scheduling

    E-Print Network [OSTI]

    Trivizas, Dionyssios Anastasios

    1987-01-01T23:59:59.000Z

    The Runway Scheduling Problem (RSP) addresses the fundamental issues of airport congestion and energy conservation. It is a variation of the Traveling Salesman Problem (TSP) from which it differs in three basic points: the ...

  18. The Influence of Proportional Jitter Scheduling Algorithms on Differentiated

    E-Print Network [OSTI]

    Wichmann, Felix

    The Influence of Proportional Jitter Scheduling Algorithms on Differentiated Services Networks a new and simple model (called Proportional Jitter Differentiated Services - PJDM) that does provide proportional jitter between different classes based on the Jitter Differentiation Parameters. Unlike other

  19. Scheduling and 2D placement heuristics for partially reconfigurable systems

    E-Print Network [OSTI]

    Santambrogio, Marco Domenico

    This paper proposes new scheduling and 2D placement heuristics for partially dynamically reconfigurable systems. One specific focus of this work is to deal with applications containing hundreds of tasks grouped in a few ...

  20. Decision support tool for dynamic workforce scheduling in manufacturing environments \\

    E-Print Network [OSTI]

    Malik, Radhika, M. Eng. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

  1. Scheduling in switched queueing networks with heavy-tailed trac

    E-Print Network [OSTI]

    Markakis, Mihalis G

    2013-01-01T23:59:59.000Z

    We study scheduling problems arising in switched queueing networks, a class of stochastic systems that are often used to model data communication networks, such as uplinks and downlinks of cellular networks, networks of ...

  2. To: Mansueti, Lawrence Subject: RE: Pepco Scheduled Line Repair...

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

    Sent: Monday, January 29, 2007 6:28 PM To: Mansueti, Lawrence Subject: RE: Pepco Scheduled Line Repair Dec. 1-20, 2006 Larry, Regarding the planned line outage,...

  3. airline demand schedules: Topics by E-print Network

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

    on the Smart Grid Engineering Websites Summary: 1 Smart (In-home) Power Scheduling for Demand Response on the Smart Grid Gang Xiong, Chen Chen consumption are part of demand...

  4. Meals & Lodging: No receipts required for meals within State of LA allowances. Receipts required for meals or lodging claimed above normal rates or at approved U.S. Department of State rates. Any meals included in the registration fee for a

    E-Print Network [OSTI]

    for meals or lodging claimed above normal rates or at approved U.S. Department of State rates. Any meals. See the Reimbursement Schedules on the back of this guide for meals & lodging reimbursement rates is prohibited. Conference Lodging: Travelers may be reimbursed for conference lodging at actual rates

  5. Task and instruction scheduling in parallel multithreaded processors

    E-Print Network [OSTI]

    Mishra, Amitabh

    1996-01-01T23:59:59.000Z

    . A Conceptual Model II A PARALLEL MULTITHREADING PROCESSOR ARCHI- TECTURE. . A. Hardware Organization B. Simulation Methodology III TASK AND INSTRUCTION SCHEDULING . A. Existing Thread and Instruction Scheduling Policies . 1. Round Robin Thread... Decomposition of a 5 X 5 Submatrix . . 29 10 LUD: Comparison of Round Robin Fetch Policies 33 LUD: Comparison of Critical Path Based Prioritized Fetch Policies . 34 12 LUD: Comparison of Fetch Policies 35 13 LUD: Comparison of Instruction Issuing Policies...

  6. The rate schedule below was approved on a final basis by the...

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

    Project imposed by the U. S. Army Corps of Engineers (Corps) as a precaution to prevent failure of the dams, Southeastern is not able to provide peaking capacity to these...

  7. Safe Schedulability of Bounded-Rate Multi-Mode Systems Rajeev Alur

    E-Print Network [OSTI]

    Alur, Rajeev

    . INTRODUCTION There is a growing trend towards multi-mode composi- tional design frameworks [10, 15, 11-conditioning (HVAC) installations in a building so as to keep the temperature surrounding each installation

  8. A General Scheduling Strategy based on an Estimate of the Rate Region

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    at the institute, including Sreenath, Amarnath, Karthik, Amardeep, Sashidharan, Murali, Karthik Upadhyay and Mahesh

  9. CP&L-1-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECOR

  10. CP&L-2-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuant

  11. CP&L-3-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM NAMECORpursuantto

  12. CP&L-4-B Wholesale Power Rate Schedule | Department of Energy

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

    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 742Energy China U.S. Department ofJune 2,The BigSidingState6Report,COMMENTS ONPRGM

  13. SCE&G-4-E Wholesale Power Rate Schedule | Department of Energy

    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'tOrigin ofEnergy at Waste-to-Energy usingofRetrofittingFundAofSCE&G-4-E Wholesale Power

  14. SCE&G-1-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E

  15. SCE&G-2-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E

  16. SCE&G-3-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy RoleAnalyticalBusinesses1-E2-E3-E

  17. SCE&G-4-E Wholesale Power Rate Schedule | Department of Energy

    Office of Environmental Management (EM)

    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 1112011 Strategic2 OPAM615_CostNSAR -DepartmentRetailEnergy

  18. Property:OpenEI/UtilityRate/DemandChargeWeekdaySchedule | Open Energy

    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 Jump to: navigation,ProjectStartDateProperty EditResults Jump to:

  19. Property:OpenEI/UtilityRate/DemandWeekdaySchedule | 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 Jump to: navigation,ProjectStartDateProperty EditResults Jump

  20. Property:OpenEI/UtilityRate/EnergyWeekdaySchedule | 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 Jump to: navigation,ProjectStartDateProperty EditResults JumpProperty Edit

  1. Property:OpenEI/UtilityRate/EnergyWeekendSchedule | 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 Jump to: navigation,ProjectStartDateProperty EditResults JumpProperty

  2. Figure 5. Production Schedules at Two Development Rates for the 5 Percent

    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 40CoalLease(Billion2,12803 Table A1.Gas Proved Reserves, WetGasCubic3 PC's5

  3. igure 4. Production Schedules at Two Development Rates for the Statistical

    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 for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 34 44Year199873.4 66.1 56.2 50.4415 6833 (ThousandMean of

  4. SCE&G-3-E Wholesale Power Rate Schedule | Department of Energy

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

    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 742EnergyOn April 23, 2014, anEnergyDepartment ofNone System: Georgia-Alabama-South Carolina

  5. Wildlife Management Areas (Florida)

    Broader source: Energy.gov [DOE]

    Certain sites in Florida are designated as wildlife management areas, and construction and development is heavily restricted in these areas.

  6. Radiosensitizing Properties of Bortezomib Depend on Therapeutic Schedule

    SciTech Connect (OSTI)

    Labussiere, Marianne [EA 4421 SiGReTO, UHP Nancy-University (France); Pinel, Sophie, E-mail: Sophie.Pinel@medecine.uhp-nancy.f [EA 4421 SiGReTO, UHP Nancy-University (France); Vandamme, Marc [EA 4421 SiGReTO, UHP Nancy-University (France); Plenat, Francois [EA 4421 SiGReTO, UHP Nancy-University (France); Service d'Anatomie et Cytologie Pathologiques, Hopital de Brabois CHU Nancy (France); Chastagner, Pascal [EA 4421 SiGReTO, UHP Nancy-University (France); Service d'Onco-Hematologie Pediatrique, Hopital d'Enfants CHU Nancy F-54500 Vandoeuvre-les-Nancy (France)

    2011-03-01T23:59:59.000Z

    Purpose: To investigate the influence of the bortezomib (BTZ) on malignant glioma radiosensitivity in two xenograft models. Methods and Materials: For TCG3 and U87 models, we evaluated the antitumor activity of BTZ, radiotherapy, and BTZ plus radiothearapy according to two therapeutic schedules: a 'nonfractionated' schedule corresponding to a single dose of treatment per week, and a 'fractionated' schedule corresponding to the same weekly dose divided into 5 fractions. Treatments influence on proliferation and apoptosis indexes, cell cycle distribution, and nuclear factor-{kappa}B pathway were explored. Results: The radiosensitizing properties of BTZ observed with the nonfractionated schedule were lost with the fractionated schedule. Bortezomib-mediated radiosensitization was associated with an increased apoptosis response and major changes in cell proliferation, but the nuclear factor-{kappa}B pathway was not involved. Most of the cellular effects induced by BTZ when tumors received a single irradiation were cancelled out if radiotherapy was fractionated. Conclusion: The influence of BTZ on glioma radiosensitivity seems to depend on the treatment fractionation schedule, emphasizing the need to clarify the mechanisms underlying BTZ's radiosensitizing effects before further clinical trials are initiated.

  7. Rainfall-induced Landslide Hazard Rating System

    E-Print Network [OSTI]

    Chen, Yi-Ting, Civ. E., Massachusetts Institute of Technology

    2011-01-01T23:59:59.000Z

    This research develops a Landslide Hazard Rating System for the rainfall-induced landslides in the Chenyulan River basin area in central Taiwan. This system is designed to provide a simplified and quick evaluation of the ...

  8. Chlorite Dissolution Rates

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

    Carroll, Susan

    Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

  9. Chlorite Dissolution Rates

    SciTech Connect (OSTI)

    Carroll, Susan

    2013-07-01T23:59:59.000Z

    Spreadsheets provides measured chlorite rate data from 100 to 300C at elevated CO2. Spreadsheet includes derived rate equation.

  10. The Interest Rate Conundrum

    E-Print Network [OSTI]

    Craine, Roger; Martin, Vance L.

    2009-01-01T23:59:59.000Z

    Flows and US Interest Rates,” NBER Working Paper No 12560. [Working Paper # 2008 -03 The Interest Rate Conundrum Roger

  11. Level schedule implementation in unstable manufacturing environments

    E-Print Network [OSTI]

    López de Haro, Santiago

    2008-01-01T23:59:59.000Z

    American Axle & Manufacturing Inc. (AAM), headquartered in Detroit (MI) is one of the major Tier 1 suppliers in the automotive industry. The main challenge in AAM plant 2 is production rate unstability due to downtime, ...

  12. UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line Resources for

    E-Print Network [OSTI]

    Klein, Ophir

    UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line ResourcesUCSF Class/Course Scheduling 1. From the Nursing Student Resources web page (http://nursing.ucsf.edu/student-resources

  13. Integrated network design and scheduling problems : optimization algorithms and applications.

    SciTech Connect (OSTI)

    Nurre, Sarah G.; Carlson, Jeffrey J.

    2014-01-01T23:59:59.000Z

    We consider the class of integrated network design and scheduling problems. These problems focus on selecting and scheduling operations that will change the characteristics of a network, while being speci cally concerned with the performance of the network over time. Motivating applications of INDS problems include infrastructure restoration after extreme events and building humanitarian distribution supply chains. While similar models have been proposed, no one has performed an extensive review of INDS problems from their complexity, network and scheduling characteristics, information, and solution methods. We examine INDS problems under a parallel identical machine scheduling environment where the performance of the network is evaluated by solving classic network optimization problems. We classify that all considered INDS problems as NP-Hard and propose a novel heuristic dispatching rule algorithm that selects and schedules sets of arcs based on their interactions in the network. We present computational analysis based on realistic data sets representing the infrastructures of coastal New Hanover County, North Carolina, lower Manhattan, New York, and a realistic arti cial community CLARC County. These tests demonstrate the importance of a dispatching rule to arrive at near-optimal solutions during real-time decision making activities. We extend INDS problems to incorporate release dates which represent the earliest an operation can be performed and exible release dates through the introduction of specialized machine(s) that can perform work to move the release date earlier in time. An online optimization setting is explored where the release date of a component is not known.

  14. PURCH0857 SCOPING SPECIFICATION SCHEDULE OF REQUIREMENTS

    E-Print Network [OSTI]

    Glasgow, University of

    environment to work and study in; and A reduction in energy consumption. This Strategic Plan in the UK. It is consistently rated top in the UK by the International Student Barometer for sports development strategy. The existing GUU is category B listed and as such adaptation will require

  15. Western Area Power Administration

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

    29-30, 2011 2 Agenda * Overview of Western Area Power Administration * Post-1989 Loveland Area Projects (LAP) Marketing Plan * Energy Planning and Management Program * Development...

  16. area integral estimates: Topics by E-print Network

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

    often employed in cellular telephony networks, where the data rates between the central Kansas, University of 125 An integrated organic circuit array for flexible large-area...

  17. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  18. area modulate water: Topics by E-print Network

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

    photon sensors whose sensitive area for Cherenkov photons one wants to maximise. Low dark noise rates and dense module spacing will thereby allow to substantially decrease the...

  19. Research Rate Liaison Rate for outside academic &

    E-Print Network [OSTI]

    Gilchrist, James F.

    as of 12/9/13 External Rate Spark Plasma Sintering ) Spark Plasma Sintering > 24 hrs 2 8 Vacuum Hot Press

  20. Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

    SciTech Connect (OSTI)

    Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo

    2013-05-23T23:59:59.000Z

    This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

  1. 2004 Rate Adjustments

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

    for Transmission and Ancillary Services Federal Register Notice -- Rate Order WAPA-141: Notice of Extension of Formula Rates for Transmission and Ancillary Services If you have any...

  2. Multiple System Rate Process

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

    DSW Multiple System Transmission Rate Process Federal Register Notice Withdrawing Rate Proposal (PDF) Formal Process Extension Federal Register Notice (PDF) Customer Savisngs Under...

  3. Prioritized schedule for review of industrial safety and occupational health programs

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    This document provides the rationale and criteria for developing a schedule for reviewing the Industrial Safety and Occupational Health programs for the Management and Operating Contractor (MOC) of the Waste Isolation Pilot Plant. The reviews will evaluate the MOC`s compliance with applicable Department of Energy (DOE) orders and regulatory requirements. The scope of this task includes developing prioritization criteria, determining the review priority of each program based upon the criteria, identifying review requirements for each program, and preparing a detailed review schedule. In keeping with the Carlsbad Area Office (CAO) structure for the review of site activities, these review activities will be addressed as surveillances, although the original basis for this requirement refers to these activities as appraisals. Surveillances and appraisals are the same within this document. Surveillances are defined as: ``The act of monitoring or observing to verify whether an item, activity, system, or process conforms to specified requirements. Surveillance of a technical work activity is normally done in real time, i.e., the surveillance is accomplished as the work is being performed.``

  4. Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem: A resolution with sequential and integrated

    E-Print Network [OSTI]

    Boyer, Edmond

    Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem study on joint production and preventive maintenance scheduling strategies regarding flowshop problems, Preventive maintenance, Joint scheduling, GA, Taboo search, NEH heuristic, Flowshop. 1. Introduction

  5. WESTERN AREA POWER ADMINISTRATION

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

    No methodology change Generator Imbalance Service NA New Tiered methodology similar to EI SNR WAPA-156 Rates Brochure Page 12 SECTION II Rate Adjustment Procedures A) Public...

  6. Encroachments and Schedule 6 LRA 2002: unknotting the tangle

    E-Print Network [OSTI]

    Lees, Emma

    2015-01-01T23:59:59.000Z

    Encroachments and Schedule 6 LRA 2002: unknotting the tangle Emma Lees* The position of encroachments under the Land Registration Act 2002 are unclear. Recent decisions of the Court of Appeal in relation to Schedule 6 LRA 2002 – Baxter v... Mannion1 and Best v Chief Land Registrar2 - have begun to put flesh onto the bones of this aspect of the 2002 Act reforms. It is clear from the Law Commission report that changes to the rules on adverse possession were a central focus of the reforms,3...

  7. Hydrologically Sensitive Areas: Variable Source Area Hydrology

    E-Print Network [OSTI]

    Walter, M.Todd

    Hydrologically Sensitive Areas: Variable Source Area Hydrology Implications for Water Quality Risk hydrology was developed and applied to the New York City (NYC) water supply watersheds. According and are therefore hydrologically sensitive with respect to their potential to transport contaminants to perennial

  8. AREA COORDINATOR RESIDENTIAL EDUCATION

    E-Print Network [OSTI]

    Bordenstein, Seth

    AREA COORDINATOR RESIDENTIAL EDUCATION VANDERBILT UNIVERSITY, NASHVILLE, TENNESSEE The Office of Housing and Residential Education at Vanderbilt University is seeking applicants for an Area Coordinator. The Area Coordinator is responsible for assisting in the management and operation of a residential area

  9. Optimization Online - All Areas Submissions - November 2011

    E-Print Network [OSTI]

    Scheduling co-operating stacking cranes with predetermined container sequences ... Joint Spectral Radius and Path-Complete Graph Lyapunov Functions

  10. Optimal Integrated Control and Scheduling of Networked Control Systems with Communication

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimal Integrated Control and Scheduling of Networked Control Systems with Communication Abstract-- This paper addresses the problem of the optimal control and scheduling of Networked Control Systems over limited bandwidth deterministic networks. Multivariable linear systems subject

  11. Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints

    E-Print Network [OSTI]

    Xie, Jinxing

    Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints problem with availability constraints. We discuss the complexity and the approximability of the problem cases of the problem. Keywords: Scheduling; Flexible flowshop; Availability constraints; Approximability

  12. Automation of airlift scheduling for the upgraded command and control system of military airlift command

    E-Print Network [OSTI]

    Simpson, R. W.

    1984-01-01T23:59:59.000Z

    This report describes a conceptual design for automation of the scheduling of airlift activities as part of the current upgrade of the MAC C2 System. It defines the airlift scheduling problem in generic terms before reviewing ...

  13. An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling Problem, an integrated ACO approach to solve joint production and preventive maintenance scheduling problem very effective solutions for this problem. Key words-- ACO, Production, Preventive maintenance

  14. Design, implementation, and operation of a class based batch queue scheduler for VAX/VMS

    SciTech Connect (OSTI)

    Chadwick, K.

    1988-05-20T23:59:59.000Z

    Fermilab found that the standard VMS batch configuration options were inadequate for the job mix that exists on the Fermilab central computer facility VAX cluster. Accordingly, Fermilab designed and implemented a class based batch queue scheduler. This scheduler makes use of the standard VMS job controller and batch system. Users interact with the scheduler at job submission time by specification of CPU time limits and batch job characteristics. This scheduler allows Fermilab to make efficient use of our large heterogeneous VAX cluster which contains machines ranging from a VAX 780 to a VAX 8800. The scheduler was implemented using the VMS system services $GETQUI and $SNDJBC, without changes to the existing VMS job scheduler. As a result, the scheduler should remain compatible with future VMS versions. This session will discuss the design goals, implementation, and operational experience with Fermilab's class based batch queue scheduler.

  15. Developing Standard Logic for a Detailed Engineering Project Schedule in the Process Industry

    E-Print Network [OSTI]

    Miller-Karns, Kara A.

    2009-05-15T23:59:59.000Z

    A good schedule is critical to the successful execution of any project. This is especially true in the process industry, where construction schedule overruns can be costly to the client due to lost production capability. ...

  16. Deliberation Scheduling for Planning in Real-Time David J. Musliner

    E-Print Network [OSTI]

    Krebsbach, Kurt D.

    Deliberation Scheduling for Planning in Real-Time David J. Musliner Honeywell Laboratories david.musliner@honeywell

  17. Workload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob Henderson

    E-Print Network [OSTI]

    Newhall, Tia

    management is queueing, or the process of collecting together ``work'' to be executed on a set of resourcesWorkload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob "workload management" and scheduling are synomnous. This is not the case. Scheduling is in fact just one out

  18. The value of schedule update frequency on distributed energy storage performance in renewable energy

    E-Print Network [OSTI]

    Boyer, Edmond

    The value of schedule update frequency on distributed energy storage performance in renewable of Distributed Energy Storage devices for Renewable Energy integration. The primary objective is to describe scheduling on the storage performance in renewable energy integration. Optimal schedules of Distributed

  19. Revised: 7.2.2012 SCH101 Schedule of Classes (SOC) Checklist

    E-Print Network [OSTI]

    Zhang, Shangyou

    term; go to: UDSIS-Maintain Schedule of Classes; search for course/section; click to choose; proceed that HAS NOT rolled from previous term; go to: UDSIS-Curriculum Management- Schedule of Classes exactly as it should be entered: 30 characters including spaces, and in ALL CAPS. Once the scheduling

  20. Combined Scheduling of Hard and Soft Real-Time Tasks in Multiprocessor Systems

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    Combined Scheduling of Hard and Soft Real-Time Tasks in Multiprocessor Systems B. Duwairi and G to support combined scheduling of hard and soft real-time tasks in such systems, in which multiprocessors with periodic soft tasks. Scheduling any of these task combinations in multiprocessor systems is a #12

  1. Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox

    E-Print Network [OSTI]

    Seldin, Jonathan P.

    Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox and scheduled maintenance of a digital library collection. Existing systems require the user either to add new module into the Greenstone digital library software, which allows the user to set up scheduled

  2. Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks with

    E-Print Network [OSTI]

    Tabatabaee, Vahid

    Global Optimal Routing, Scheduling and Power Control for Multi-hop Wireless Networks scheduling and power control that minimizes the total average transmission power is found. We formulate the optimal routing scheduling and power control. Simulation results show that this methodology is more

  3. Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines Antonio scheduling and control formulation is tested using three multiproduct continuous tubular reactors featuring on the simultaneous scheduling and control (SC) of tubular reactors in a single production line [1] to the case

  4. Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines Antonio multiproduct tubular reactors. The simultaneous scheduling and control problem for continuous multiproduct.13.98.241/antonio 1 #12;Abstract In this work we propose a simultaneous scheduling and control optimization

  5. DHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Realtime Multiprocessor Systems

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    ­tolerance and resource reclaiming. Section 3 reviews the earlier work on dynamic scheduling algorithms. In Section 4, we discuss our dynamic scheduling and reclaiming algorithms. Section 5 discusses the software architectureDHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Real­time Multiprocessor Systems G

  6. Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors

    E-Print Network [OSTI]

    Torrellas, Josep

    Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors Radu variation effects when scheduling applications or when managing power with Dynamic Voltage and Frequency scheduling and power management. One such power manage- ment algorithm, called LinOpt, uses linear

  7. Optimizing with constraints: a case study in scheduling maintenance of electric power units

    E-Print Network [OSTI]

    Dechter, Rina

    industry is that of optimally schedul­ ing preventative maintenance of power generating units within of the electric power industry: optimally scheduling preventative maintenance of power generating units within or two dozen power generating units which can be individually scheduled for preventive maintenance. Both

  8. Optimizing with constraints: a case study in scheduling maintenance of electric power units

    E-Print Network [OSTI]

    Dechter, Rina

    is that of optimally schedul- ing preventative maintenance of power generating units within a power plant. We show how: optimally scheduling preventative maintenance of power generating units within a power plant. We de ne can be individually scheduled for preventive maintenance. Both the required duration of each unit

  9. Hybrid-Scheduling: A Compile-Time Approach for Energy-Efficient Superscalar Processors

    E-Print Network [OSTI]

    John, Lizy Kurian

    Hybrid-Scheduling: A Compile-Time Approach for Energy-Efficient Superscalar Processors Madhavi scheduling to lower the energy consumption in a processor. In this Hybrid-Scheduling paradigm, regions high performance. These design trends are causing power dissipation and energy consumption on the chip

  10. Preemptive Scheduling for Distributed Systems1 Donald McLaughlin A

    E-Print Network [OSTI]

    Dasgupta, Partha

    placement is done intelligently Although obtaining optimal schedules is NP-complete, many good heuristics multiprocessors. However, in dis- tributed systems it is practically unheard of. Scheduling in distributed systems-preemptive scheduling can perform well if the task lengths and processor speeds are known in advance and hence job

  11. Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints

    E-Print Network [OSTI]

    Wang, Shengquan

    Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints Shengquan Wang. We develop energy-efficient speed scheduling schemes for frame-based real-time tasks under thermal- sumption with comparison to the reactive schemes in the literature. Keywords: Energy-efficient scheduling

  12. Energy Efficient Multiprocessor Task Scheduling under Input-dependent Variation Jason Cong and Karthik Gururaj

    E-Print Network [OSTI]

    Cong, Jason "Jingsheng"

    to produce a scheduling solution and voltage assignment such that the average energy consumption is minimized that the scheduling solution generated by our algorithm can provide up to 25% reduction in energy consumption over greedy dynamic slack reclamation algorithms. Index Terms--DVS, scheduling, average energy consumption

  13. Scheduling Automated Traffic on a Network of Arvind Giridhar and P.R. Kumar

    E-Print Network [OSTI]

    vehicles which are au- tomatically driven along smart highways and/or city roads [2], [3]. Such automation consider the problem of scheduling automated traffic in a city. Such automatic scheduling can improve algorithm and evaluate its performance through simulations. Index Terms: Traffic scheduling, smart vehicles

  14. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Technical Report

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks 200 Union Street SE Minneapolis, MN 55455-0159 USA TR 06-021 Energy-Aware Scheduling with Quality #12;#12;1 Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

  15. Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting Yasmina sufficient schedulability tests for fixed-priority pre-emptive scheduling of a real-time system under energy constraints. In this problem, energy is harvested from the ambient environment and used to replenish a storage

  16. Production, Manufacturing and Logistics Using real time information for effective dynamic scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    In many production processes real time information may be obtained from process control computers of the revised schedule against the production disturbance which results from changing the planned schedule. We into scheduling the complex production processes of steel continuous caster planning. Ó 2002 Elsevier Science B

  17. Batch Splitting in an Assembly Scheduling Environment Satyaki Ghosh Dastidar Rakesh Nagi1

    E-Print Network [OSTI]

    Nagi, Rakesh

    and the diversity of the product mix has made the production planning and scheduling more complex. In the current and setup costs, and timely delivery. Although there have been advances in production control techniques A classical approach in production planning and scheduling is to derive a Master Production Schedule (MPS

  18. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I: Precedence Graph Simplification

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling ­ Part I-- In this and a companion paper a dynamic pro- gramming (DP) approach to solve a smart home appliances scheduling problem to the smart home appliances scheduling problem considered in [1], [2]. The problem seeks to determine

  19. CE 4990 -Construction Scheduling Week 1: Steel Frame Project

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Week 1: Steel Frame Project Fall 2011 January 13, 2012 Introduction You are a construction manager for a project to build a steel frame for an office building1 of 964 pre-fabricated structural steel members will be used in the construction. The standard bay size

  20. Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage

    E-Print Network [OSTI]

    Ulukus, Sennur

    Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage Omur Ozel Khurram with an energy harvesting transmitter which has a hybrid energy storage unit composed of a perfectly efficient super-capacitor (SC) and an inefficient battery. The SC has finite space for energy storage while

  1. Downstream-based Scheduling for Energy Conservation in Green EPONs

    E-Print Network [OSTI]

    Shihada, Basem

    1 Downstream-based Scheduling for Energy Conservation in Green EPONs Shen Chen, Ahmad R. Dhaini maximum energy conservation in green Ethernet passive optical networks (EPONs). While overlapping allocation scheme for energy conservation in green EPONs. Simulation results verify the proposed model

  2. Message Drop and Scheduling in DTNs: Theory and Practice

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Message Drop and Scheduling in DTNs: Theory and Practice Amir Krifa, Chadi Barakat, Senior Member there may store a message in its buffer and carry it along for long periods of time, until an appropriate forwarding opportunity arises. This way, messages can traverse disconnected parts of the network. Multiple

  3. Distributed Uplink Scheduling in EV-DO Rev. A Networks

    E-Print Network [OSTI]

    Guerin, Roch

    Distributed Uplink Scheduling in EV-DO Rev. A Networks Ashwin Sridharan (Sprint Nextel) Ramesh Subbaraman, Roch Guérin (ESE, University of Pennsylvania) #12;5/23/2007 Networking 2007 - Atlanta 2 Overview of Problem · Most modern wireless systems ­ Deliver high performance through tight control of transmissions

  4. Flexible Scheduling Methods and Tools for Real-Time Control

    E-Print Network [OSTI]

    , and real-time control systems constitute an important subclass of these embedded systems. Modern automoFlexible Scheduling Methods and Tools for Real-Time Control Systems Dan Henriksson Department- tive systems, e.g., contain several embedded ECUs (electronic control units) used for various feedback

  5. COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS Abhinna Jain, C.M. Krishna, Israel, cost functions, controlled plant dynamics Abstract: In Cyber Physical Systems (CPS), computational response times are different. In this paper, we consider using cost functions of task response time

  6. M1 internship account On update schedules and dynamics of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    M1 internship account 2007-2008 On update schedules and dynamics of boolean networks Mathilde Noual Internship done at the university of Concepción under the direction of Julio Aracena hal-00688157,version1 network rely on several dierent parameters. During this internship, we have especially been looking

  7. MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER

    E-Print Network [OSTI]

    Shoubridge, Eric

    MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER Oct 15 Dinosaurs and the origin of birds Prof. Hans amphibians Prof. David M. Green (Director, Redpath Museum) Oct. 29 Nov.5 Nov. 12 Pandora's Ballast Tank) Barbara Lawson (Curator of World Cultures, Redpath Museum) Nov. 19 Humans, evolution, and the future

  8. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    a power plant. We show how these scheduling prob- lems can be cast as constraint satisfaction problems analysis provides worst-case guar- antees which often do not re ect average performance. For instance in practice have substantially better performance than a simpler algorithm without this feature 12, 8

  9. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    units within a power plant. We show how these scheduling prob­ lems can be cast as constraint average performance. For instance, a backtracking­ based algorithm that incorporates features support through grant RP 8014­06. 1 #12; often in practice have substantially better performance than

  10. Improved Multi-processor Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    . To Prudence W. H. Wong October 29, 2009 Abstract Energy usage has been an important concern in recent research energy usage is dynamic speed scaling (see, e.g., [8, 14, 24, 28]) where the processor can vary its speedImproved Multi-processor Scheduling for Flow Time and Energy Tak-Wah Lam Lap-Kei Lee Isaac K. K

  11. 1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS

    E-Print Network [OSTI]

    Powell, Warren B.

    , mathematics, chemistry and the oil industry. Particularly in today's relatively specialized economy, it is di are: management, operations, marketing and human resources. Management thinks of itself a1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS Warren B. Powell Abstract: The modeling

  12. On Perimeter Coverage Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    is to monitor the whole target object as long as possible. In this paper, we first discuss the sufficient monitoring, target tracking, disaster management [1]. Traditionally, coverage problems concern whether- based schedule, we need to identify a set of sensors to monitor the target perimeter in ea

  13. Scheduling for Electricity Cost in Smart Grid Mihai Burcea1,

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    Scheduling for Electricity Cost in Smart Grid Mihai Burcea1, , Wing-Kai Hon2 , Hsiang-Hsuan Liu2 arising in "demand response manage- ment" in smart grid [7, 9, 18]. The electrical smart grid is one of electricity. Peak demand hours happen only for a short duration, yet makes existing electrical grid less

  14. Energy Optimal Transmission Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Koksal, Can Emre

    1 Energy Optimal Transmission Scheduling in Wireless Sensor Networks Rahul Srivastava, Student networks is energy efficient communication of time-critical data. Energy wastage can be caused by failed. INTRODUCTION Energy efficient communication is one of the key concerns in the design of wireless sensor

  15. Sensor Scheduling in Electronic Support Using Markov Chains

    E-Print Network [OSTI]

    Clarkson, Vaughan

    .El-Mahassni@dsto.defence.gov.au Electronic Warfare & Radar Division Defence Science & Technology Organisation P.O. Box 1500, Edinburgh South1 Sensor Scheduling in Electronic Support Using Markov Chains I. Vaughan L. Clarkson , Edwin D. El;3 Abstract In Electronic Support, receivers must maintain surveillance over the very wide portion

  16. An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems

    E-Print Network [OSTI]

    Xie, Tao

    An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems Xiao Qin, Member, IEEE, and Tao Xie, Member, IEEE Abstract--High availability is a key requirement in the design and development of heterogeneous systems where processors operate at different speeds and are not continuously available

  17. Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume Reduction for System Marinissen, Senior Member, IEEE Abstract--We describe an integrated framework for system-on-chip (SOC) test automation. Our framework is based on a new test access mechanism (TAM) architecture consisting of flexible

  18. Energy-Efficient Flow Time Scheduling: An Experimental Study

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    of modern processors. A pop- ular technology to reduce energy usage is dynamic speed scaling [5, 8] where and energy, Albers and Fujiwara [3] initiated the study of minimizing a linear combination of total flowEnergy-Efficient Flow Time Scheduling: An Experimental Study Jude-Thaddeus Ojiaku (speaker) Daniel

  19. Energy Efficient Deadline Scheduling in Two Processor Systems

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    Energy Efficient Deadline Scheduling in Two Processor Systems Tak-Wah Lam1 , Lap-Kei Lee1 , Isaac K manage its energy usage by scaling dynamically its speed. In this paper we attempt to extend such work energy. The motivation comes from the fact that dual-core processors are get- ting common nowadays. Our

  20. University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory

    E-Print Network [OSTI]

    Nagi, Rakesh

    1 University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Course Introduction Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;2 University at Buffalo (SUNY) Department of Industrial Engineering About the course This graduate level course covers

  1. Task Scheduling to Extend Platform Useful Life using Prognostics

    E-Print Network [OSTI]

    Boyer, Edmond

    % in average. Keywords ­ Condition Based Maintenance, Scheduling, Remaining Useful Life, Integer Programming corrective maintenance policies where breakdowns were a necessary damage to condition based maintenance it is not yet con- sidered as a cost center, but as a profit lever. Maintenance strategies evolve from

  2. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

  3. An Evaluation of Sequencing Heuristics for Flexible Flowshop Scheduling Problems

    E-Print Network [OSTI]

    Magdeburg, Universität

    algorithm; simulated annealing 1. Introduction Production scheduling can be defined as the allocation of available production resources over time to perform a collection of tasks (Baker, 1974). It is an important), rubber (Yanney and Kuo, 1989), photographic film (Tsubone, Ohba, Takamuki, and Miyake, 1993), steel

  4. Energy Efficient Datapath Scheduling using Multiple Voltages and Dynamic Clocking

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    consumption of a device has to be minimum to increase battery life, the energy-delay- product hasEnergy Efficient Datapath Scheduling using Multiple Voltages and Dynamic Clocking Saraju P. Mohanty clocking in a co-ordinated manner in order to reduce energy consumption of datapath circuits. In dynamic

  5. Optimal Maintenance Scheduling of a Power Plant with Seasonal

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -Wide Optimization Meeting · Plan preventive maintenance shutdowns ­ Minimize payment for skilled labor ­ Save onlineOptimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro maintenance team doing shutdowns · Shutdown period mandatory after [ , ] h online · Challenging (hard

  6. PBS: A Unified Priority-Based Scheduler Hanhua Feng

    E-Print Network [OSTI]

    for many years for a wide variety of demands that can occur in practice. The types of demands can vary a wide variety of demands, complicating the task of finding the "right" or "best" scheduling policy enable policies whose behavior is a hybrid of these standards. We demonstrate the practical benefits

  7. Periodic schedules for Unitary Timed Weighted Event Graphs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Event Graph model (TEG also called marked graphs [5]) and dataflow graphs, oftenly used in the computer questions are polynomially solved for ordinary TEG [1], [5], [6], [8]. In particular, it has been shown that if a TEG is live, there always exists a periodic schedule with the optimal throughput (i.e. with the same

  8. System design Active/Active HA Job Scheduler and

    E-Print Network [OSTI]

    Engelmann, Christian

    of scheduled job No loss of running job No restart of running jobs Leading to uninterruptible service overview Project goals failure of head node job submitted job runs job resubmitted job runs job done job resubmitted job runs job done job runs job done job continues job done Resubmission without checkpointing

  9. Hydro-Thermal Scheduling (HTS) 1.0 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    1 Hydro-Thermal Scheduling (HTS) 1.0 Introduction From an overall systems view, the single most, relative to that of thermal plants, are very small. There are three basic types of hydroelectric plants;2 Pump-storage This kind of hydro plant is a specialized reservoir-type plant which has capability to act

  10. Energy-Efficient Scheduling of HPC Applications in Cloud Computing

    E-Print Network [OSTI]

    Melbourne, University of

    Energy-Efficient Scheduling of HPC Applications in Cloud Computing Environments Saurabh Kumar Garg sustainable. Hence, energy-efficient solutions are required that can address the high increase in the energy centers for a Cloud provider. We consider a number of energy efficiency fac- tors such as energy cost

  11. Flexible Power Scheduling for Sensor Networks Barbara Hohlt

    E-Print Network [OSTI]

    Brewer, Eric A.

    Flexible Power Scheduling for Sensor Networks Barbara Hohlt Computer Science Division University, is a significant cost. Stemm et al. [27] observed that idle listening dominated the energy costs of network of California, Berkeley Berkeley, CA, USA 94720-1776 hohltb@eecs.berkeley.edu Lance Doherty Electrical

  12. Scheduling of Connected Autonomous Vehicles on Highway Lanes

    E-Print Network [OSTI]

    Scheduling of Connected Autonomous Vehicles on Highway Lanes Jiajun Hu, Linghe Kong, Wei Shu}@sjtu.edu.cn + University of New Mexico, USA, shu@ece.unm.edu Abstract--With recent progress in vehicle autonomous driving autonomous sys- tems. This paper studies lane assignment strategies for connected autonomous vehicles

  13. Evolutionary Approach for Multi-Objective Scheduling in Surgical Unit

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    unsettled its smooth running. Besides, it requires rules of resources management and tasks organization in order to maximize efficiency. Thus, scheduling in the surgical unit will allow the Hospital to manage, published in "Conférence Francophone Gestion et Ingénierie des Systèmes Hospitaliers (GISEH 2012), Quebec

  14. POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Römisch, Werner

    POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 Forschungsgemeinschaft. leads to a tremendous increase in the complex- ity of the traditional power optimization mod- els-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

  15. POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Römisch, Werner

    POWER SCHEDULING IN A HYDRO­THERMAL SYSTEM UNDER UNCERTAINTY C.C. Carøe 1 , M.P. Nowak 2 , W. R in the complex­ ity of the traditional power optimization mod­ els. The remedy we propose is decomposition which­storage hydro plants and delivery con­ tracts and describe an optimization model for its least­cost operation

  16. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Aupy, Guillaume; Robert, Yves

    2011-01-01T23:59:59.000Z

    We consider a task graph to be executed on a set of homogeneous processors. We aim at minimizing the energy consumption while enforcing two constraints: a prescribed bound on the execution time or makespan), and a reliability threshold. Dynamic voltage and frequency scaling (DVFS) is a model frequently used to reduce the energy consumption of a schedule, but it has negative effect on its reliability. In this work, to improve the reliability of a schedule while reducing the energy consumption, we allow for the re-execution of some tasks. We assess the complexity of the tri-criteria scheduling problem (makespan, reliability, energy) with two different speed models: either processors can have arbitrary speeds (continuous speeds), or a processor can run at a finite number of different speeds, and it can change its speed during a computation. We propose several novel tri-criteria scheduling heuristics under the continuous speed model, and we evaluate them through a set of simulations. Our two best heuristics turn ...

  17. Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    transition time [2]. When addressing optimal control problems, it is normally assumed that the production] who fixed the production sequence and used dynamic optimization for production planning optimizationSimultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores

  18. Integration of Scheduling and Control Antonio Flores T.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    : Planning: Defines desired changes to current business affecting access to raw material, production.e. start time, unit to be used,processing time, production level), medium term objectives Control 1 "Planning, scheduling and control systems: why cannot they work together", Donald E. Shobrys

  19. A computer algorithm to optimize the scheduling of strategic sealift 

    E-Print Network [OSTI]

    Lambert, Garrett Randall

    1995-01-01T23:59:59.000Z

    The problem of scheduling strategic sealift assets for a U.S. Army deployment in response to a major regional contingency is considered in this paper. The complexity of this problem depends upon the different types of ship speeds and capacities...

  20. Geology 103 The Dynamic Earth Syllabus and Schedule Fall 2007

    E-Print Network [OSTI]

    Kirby, Carl S.

    Geology 103 ­ The Dynamic Earth Syllabus and Schedule ­ Fall 2007 Dr. Carl Kirby 9:30-10:52 TTh O'Leary 232 Office: 226 O'Leary Lab T or Th 1-5 O'Leary 218 www.facstaff.bucknell.edu/kirby/ 577-1385; kirby