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Sample records for rate schedule area

  1. 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...

  2. Wholesale Power Rate Schedules | Department of Energy

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

    Rate Schedules Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System:...

  3. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01

    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.

  4. FRN and Rate Schedules

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

    Doing Business Skip navigation links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-16 Rate Case OS-14 Rate Case FRN...

  5. FRN & Rate Schedules

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

    Doing Business Skip navigation links Financial Information Financial Public Processes Asset Management Cost Verification Process Rate Cases BP-16 Rate Case OS-14 Rate Case FRN...

  6. Rate Schedule CPP-2

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

    points established by contract, in accordance with approved policies and procedures. Formula Rate: The formula rate for CPP includes three components: Component 1: The customer...

  7. 2012 Transmission Rate Schedules

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

    for HLH and LLH. 2. OTHER RATE PROVISIONS a. BPA Incremental Cost BPA's incremental cost will be based on an hourly energy index in the Pacific Northwest. If no adequate...

  8. Rate Schedule CV-RFS4

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

    load and for maintaining scheduled interconnection frequency at 60-cycles per second. Formula Rate: The formula rate for regulation includes three components: Component 1: Annual...

  9. 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...

  10. Rate Schedules | 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 FuelsofProgram: Report Appendices |ProjectKnow Your PowerWeatherize »Rain orRate

  11. 200 area TEDF sample schedule

    SciTech Connect (OSTI)

    Brown, M.J.

    1995-03-22

    This document summarizes the sampling criteria associated with the 200 Area Treatment Effluent Facility (TEDF) that are needed to comply with the requirements of the Washington State Discharge Permit No. WA ST 4502 and good engineering practices at the generator streams that feed into TEDF. In addition, this document Identifies the responsible parties for both sampling and data transference.

  12. Wholesale Power Rate Schedules | 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 FuelsofProgram: Report1538-1950DepartmentWave EnergyElectricityRate Schedules »

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

    E-Print Network [OSTI]

    Gupta, Seema

    2000-01-01

    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 Local Area Networks...

  14. Priority and fair scheduling in wireless local area networks

    E-Print Network [OSTI]

    Dugar, Anurag

    2001-01-01

    In recent years, fair scheduling and quality of service (QoS) in Wireless Local Area Networks have received significant attention from the networking research community. This thesis presents a distributed Medium Access Control (MAC) protocol...

  15. Rate Schedule CV-SPR4

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

    that is available immediately to serve load and is synchronized with the power system. Formula Rate: The formula rate for spinning reserve includes three components: Component 1:...

  16. Rate Schedule CV-SUR4

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

    within the first 10 minutes to take load and is synchronized with the power system. Formula Rate: The formula rate for supplemental reserve service includes three components:...

  17. Rate Schedule COTP-T3

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

    and system control and dispatch service needed to support the transmission service. Formula Rate: The formula rate for COTP firm and non-firm PTP transmission service includes...

  18. Rate Schedule CV-NWT5

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

    and system control and dispatch service needed to support the transmission service. Formula Rate: The formula rate for CVP NITS includes three components: Component 1: The NITS...

  19. Rate Schedule PACI-T3

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

    and system control and dispatch service needed to support the transmission service. Formula Rate: The formula rate for PACI firm and non-firm transmission includes three...

  20. Rate Schedule CV-EID4

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

    that is established in the service agreement or Interconnected Operations Agreements. Formula Rate: The formula rate for EI service includes three components: Component 1: EI...

  1. Rate Schedule CV-TPT7

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

    or receipt, adjusted for losses, and delivered to points as agreed to by the parties. Formula Rate: The formula rate for transmission of Western's power by others includes three...

  2. Rate Schedule CV-F13

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

    for the entire FY. The PRR is allocated to FP Customers and BR Customers based on formula rates, as adjusted for Hourly Exchange (HE), FP true-up calculation, and midyear...

  3. Replacement-2-A Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power

  4. Replacement-3 Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale

  5. 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 on Delicious Rank EERE:Financing Tool FitsProjectData Dashboard RutlandSTEAB's1-E Wholesale Power Rate Schedule Santee-1-E

  6. 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 on Delicious Rank EERE:Financing Tool FitsProjectData Dashboard RutlandSTEAB's1-E Wholesale Power Rate Schedule

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

    E-Print Network [OSTI]

    Kesselheim, Thomas

    2012-01-01

    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...

  8. Joint Adaptive Rate and Scheduling in Cellular Wireless Networks

    E-Print Network [OSTI]

    Chang, Hung-Bin

    2015-01-01

    Aided Failover for Multicast Scheduling in Wireless CellularVideo Multicast for Multi-cell Cellular Wireless Net-and Uplink Fractional Frequency Reuse in Cellular Wireless

  9. Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan (Raj) Rajkumar

    E-Print Network [OSTI]

    Rowe, Anthony

    Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan mode, substantially more energy savings can be obtained but it requires a significant amount of time such that processor idle times are lumped together. We next introduce the Energy-Saving Rate-Harmonized Scheduler

  10. Controller Area Network (CAN) Schedulability Analysis for Messages

    E-Print Network [OSTI]

    Navet, Nicolas

    and Work-Conserving Queues Robert Davis1 and Nicolas Navet2 1Real-Time Systems Research Group, University Motivation and work-conserving queues Scheduling model and analysis for priority queues Analysis for Work-conserving queues Priority assignment Case study Impact of work-conserving queues Empirical investigation Summary

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

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

    and system control and dispatch service needed to support the transmission service. Formula Rate: The formula rate for CVP firm and non-firm PTP transmission includes three...

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i Framing DocumentUnits atis from a BuildingSelf-Schedulers System:

  13. Appendix C: Transmission, Ancillary and Control Area Service 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D SFederal Facility Agreement and Consent04 STANDARDC. Part

  14. The dynamic scheduling of aircraft in the near terminal area

    E-Print Network [OSTI]

    Dear, Roger George

    1976-01-01

    Aircraft arrive in a random fashion into a terminal area seeking to land at a given runway. The aircraft are differentiated by their landing velocities. All aircraft are required to maintain a prespecified minimum horizontal ...

  15. Optimization Based Rate Allocation and Scheduling in TDMA Based Wireless Mesh Networks

    E-Print Network [OSTI]

    Torng, Eric

    access for community or enter- prise users. A typical wireless mesh network consists of mesh routers to mesh routers to access the Internet. In wireless mesh networks, inter-router and client-routerOptimization Based Rate Allocation and Scheduling in TDMA Based Wireless Mesh Networks Bo Wang

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulationInformation Session More Documents &Area: Southern

  17. SOCO-4-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION J APPENDIX ADepartmentSOCO-4-E Wholesale Power Rate

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversitySchedules Print Current Long-Term

  19. Scheduling messages with offsets on Controller Area Network -a major performance boost

    E-Print Network [OSTI]

    Navet, Nicolas

    by car manufacturers is to schedule the messages with offsets, which leads to a desynchronization in the case of Controller Area Net- work, which is a de-facto standard in the automotive world. Comprehensive of traffic with the increasing amount of data exchanged between Electronic Control Units (ECUs). A car

  20. A Cutting Plane Method for Solving Harvest Scheduling Models with Area Restrictions

    E-Print Network [OSTI]

    Brown, Sally

    37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 A Cutting Plane Method for Solving Harvest Scheduling Models with Area Restrictions Nora Konnyua , Sandor F. T.e., clear-cuts) cannot exceed an area threshold in any given time period or over a set of periods called

  1. Target-rate Tracking for Shale-gas Multi-well Pads by Scheduled Shut-ins

    E-Print Network [OSTI]

    Foss, Bjarne A.

    Target-rate Tracking for Shale-gas Multi-well Pads by Scheduled Shut-ins Brage R. Knudsen Bjarne, Yorktown Heights, NY, USA. Abstract: The recent success of shale-gas production relies on drilling of long caused by water accumulation in the wells. Shale-gas recovery requires a large number of wells in order

  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. Flexible Proportional-Rate Scheduling for OFDMA Alex Leith, Mohamed-Slim Alouini, Fellow, IEEE, Dong In Kim, Senior Member, IEEE, Xuemin (Sherman)

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    Flexible Proportional-Rate Scheduling for OFDMA System Alex Leith, Mohamed-Slim Alouini, Fellow orthogonal frequency divi- sion multiple access (OFDMA) systems under proportional-rate constraint (PRC with either short-term or long-term fairness. Index Terms--OFDMA, proportional rate constraint (PRC

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

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

    and dispatch service needed to support the transmission service. Penalty Rate: The formula rate for Unreserved Use Penalty (UUP) has three components. Component 1: The UUP...

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

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

    established in the service agreement or Interconnected Operations Agreements. Formula Rate: The formula rate for the GI has three components: Component 1: GI is applied to...

  6. SCE&G-2-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A WholesaleRetrofitElectricalDepartment2-E Wholesale Power Rate

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPONe β+-DecayUpgradeDepartment of22 Secretary of

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

    E-Print Network [OSTI]

    Saldivar-Sali, Artessa Niccola D., 1980-

    2004-01-01

    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. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 29, NO. 8, SEPTEMBER 2011 1721 Optimal Packet Scheduling on an Energy

    E-Print Network [OSTI]

    Uysal-Biyikoglu, Elif

    Packet Scheduling on an Energy Harvesting Broadcast Link Mehmet Akif Antepli, Elif Uysal user in an energy harvesting communication system, where energy harvesting instants are known at the beginning, a non- negative amount of energy from each energy harvest is deferred for later use

  10. The Schedule

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

    1997-03-28

    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.

  11. IEEE 802.15.4 Low Rate Wireless Personal Area Network Coexistence Issues

    E-Print Network [OSTI]

    Howitt, Ivan

    IEEE 802.15.4 Low Rate Wireless Personal Area Network Coexistence Issues Ivan Howitt Electrical Milwaukee, WI 53216 JoseGutierrez@eaton.com Abstract IEEE 802.15.4 is a proposed standard addressing and medical band providing nearly worldwide availability; additionally, this band is also used by other IEEE

  12. Measurement of surface emission flux rates for volatile organic compounds at Technical Area 54

    SciTech Connect (OSTI)

    Trujillo, V.; Morgenstern, M.; Krier, D. [Los Alamos National Lab., NM (United States); Gilkeson, R. [Weirich and Associates, Albuquerque, NM (United States)

    1998-06-01

    The survey described in this report was conducted to estimate the mass of volatile organic compounds venting to the atmosphere from active and inactive waste disposal sites at Technical Area 54. A large number of nonintrusive passive sample collection devices were placed on the ground surface for 72 hours to characterize an area of approximately 150 acres. Results provided an indication of the boundary location of the known volatile organic plume, plume constituents, and isolated high concentration areas. The data from this survey enhanced existing data from a limited number of monitor wells currently used for plume surveillance. Results indicate that the estimated mass emission to the atmosphere is orders of magnitude lower than what is considered a small flux rate at a spill site or a Resource Conservation and Recovery Act landfill and is far below the threshold limit established by the State of New Mexico as an air quality concern.

  13. Pushing schedule derivation method

    SciTech Connect (OSTI)

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

    1996-12-31

    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.

  14. Measurement of Nuclear Interaction Rates in Crystal Using the CERN-SPS North Area Test Beams

    E-Print Network [OSTI]

    Losito, R; Taratin, A

    2010-01-01

    A number of tests were performed in the North area of the SPS in view of investigating crystal-particles interactions for future application in hadron colliders. The rate of nuclear interactions was measured with 400 GeV proton beams directed into a silicon bent crystal. In this way the background induced by the crystal either in amorphous or in channeling orientation was revealed. The results provide fundamental information to put in perspective the use of silicon crystals to assist halo collimation in hadron colliders, whilst minimizing the induced loss.

  15. Control Optimization for a Chilled Water Thermal Storage System Under a Complicated Time-of-Use Electricity Rate Schedule

    E-Print Network [OSTI]

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

    2005-01-01

    .6 m) in diameter with a total volume capacity of 1,400,000 gallon (5,299,560 L). Under design conditions, the fully charged thermal storage tank can hold a cooling capacity of 12,000 ton-hr (42,204 kWh). The temperatures of the stratified chilled... of time for the tank to discharge is selected, as many higher-priced hours as possible. The time charge the tank is automatically determined as n, the average chiller production rate required e charging period is calculated from the total campus load...

  16. RATES

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

    and PACI Final FRN for Rate Order No. WAPA-139 - Notice of Order Temporarily Extending Formula Rates for Power, Transmission and Ancillary Services (PDF - 49K) Final FRN for Rate...

  17. RATES

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

    - 392K) Final FRN for Rate Order No. WAPA-139 - Notice of Order Temporarily Extending Formula Rates for Power, Transmission and Ancillary Services (PDF - 49K) Final FRN for Rate...

  18. 2016 Power Rate Schedules and General Rate Schedule Provisions

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

    Provisions (FY 2016-2017) October 2015 United States Department of Energy Bonneville Power Administration 905 N.E. 11th Avenue Portland, OR 97232 Bonneville Power...

  19. 2016 Power Rate Schedules and General Rate Schedule Provisions

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPONeApril 30,University Turbine Systems55 13 2 20156

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

    E-Print Network [OSTI]

    Lee, L.M.

    2010-01-01

    and Kazmann, R. G. , 1978, Subsidence in the capital areageothermal-related subsidence rates derived from EDAW ESA111-5 Scale corpus Background Subsidence Rates Compared to

  1. RATES

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

    - Washoe Project, Stampede Division FERC Order Approving Extension of Non-Firm Power Formula Rate - Rate Order No. WAPA-160 (Sept. 5, 2013) (PDF - 22K) Notice of Extension of...

  2. UGE Scheduler Cycle Time

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

    UGE Scheduler Cycle Time UGE Scheduler Cycle Time Genepool Cycle Time Genepool Daily Genepool Weekly Phoebe Cycle Time Phoebe Daily Phoebe Weekly What is the Scheduler Cycle? The...

  3. A simplified psoriasis area severity index (SPASI) for rating psoriasis severity in clinic patients

    E-Print Network [OSTI]

    Louden, B Asher; Pearce, Daniel J MD; Lang, Wei PhD; Feldman, Steven R MD PhD

    2004-01-01

    T, Pettersson U. Severe psoriasis--oral therapy with a newof disease progress in psoriasis. Arch Dermatol 1989; 125(the limitations of the psoriasis area and severity index (

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

    E-Print Network [OSTI]

    Lee, L.M.

    2010-01-01

    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.

  5. 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.

    1982-06-01

    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)

  6. Bit Error Rate, Power and Area Analysis of Multiple FPGA Implementations of Underwater FSK

    E-Print Network [OSTI]

    Kastner, Ryan

    Beijing 100871, P.R.China country code: 086 liying~, zhangx~@ime.pku.edu.cn + University of California, San Diego La Jolla, CA USA country code: 001 b1benson~ ,kastner~@cs.ucsd.edu ABSTRACT There has been an increasing interest in creating short-range, low data-rate underwater wireless sensor networks for scientific

  7. Accelerator and Experiment Schedule

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

    Nominal Dates for Scheduling Requests (updated July 10, 2014) Please see the information for the requirements before scheduling can be requested at http:www.jlab.org...

  8. EPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks

    E-Print Network [OSTI]

    New South Wales, University of

    of unmanned aerial vehicles (UAVs). We propose an energy-efficient relaying scheme which is able to overcomeEPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks Kai Li1 Wei Ni2 Xin Wang3 then schedules UAVs' forwarding with guaranteed success rates and balanced energy consumption. Such scheduling

  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.

    2002-01-01

    be expected, the complication in the rate structure also requires more involved control over the tank charging and discharging processes. A chiller start-stop optimization program has been developed and implemented into the Energy Management and Control System...

  10. Wireless Scheduling Mung Chiang

    E-Print Network [OSTI]

    Chiang, Mung

    Wireless Scheduling Mung Chiang Electrical Engineering, Princeton University WiOpt Seoul, Korea June 23, 2009 #12;Outline Structured teaser on wireless scheduling Focus on key ideas and 10 open

  11. Dedicated heterogeneous node scheduling including backfill scheduling

    DOE Patents [OSTI]

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

    2006-07-25

    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.

  12. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    H, Page i PART I - THE SCHEDULE TABLE OF CONTENTS SECTION B: SUPPLIES OR SERVICES AND PRICESCOSTS ... 3 B-1...

  13. Increases in electric rates in rural areas. Hearing before the Committee on Agriculture, House of Representatives, Ninety-Sixth Congress, Second Session, June 4, 1980

    SciTech Connect (OSTI)

    Not Available

    1980-01-01

    Seven witnesses representing rural electric utilities and cooperatives spoke at a June 4, 1980 hearing to discuss which inflationary factors are increasing rural electric rates. The Committee recognized that the problem is not unique to rural systems. In their testimony, the witnesses noted increasing urbanization of rural areas; the cost of generating plant construction, fuel, and operating expenses; general economic factors of inflation and high interest rates; and regulations as major contributing factors to utility requests for rate increases. The hearing record includes their testimony, additional material submitted for the record, and responses to questions from the subcommittee. (DCK)

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPONeApril 30, 2013Program9 20147Wind4 HighEfficiency

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Lacledeutilities.Energy Thefull swing, and theofWho Uses Open Data?CM-1-H

  16. Math Courses Schedule

    E-Print Network [OSTI]

    $author.value

    Course Schedules. A complete list of times, room numbers, and instructors of classes offered by the Department of Mathematics. Fall 2015 Fall 2015 (By Name)...

  17. Project organizations and schedules

    SciTech Connect (OSTI)

    Briggs, R.J.

    1990-07-01

    The Superconducting Super Collider Laboratory (SSCL) faces the challenge of simultaneously carrying out a large-scale construction project with demanding cost, schedule, and performance goals; and creating a scientific laboratory capable of exploiting this unique scientific instrument. This paper describes the status of the laboratory organization developed to achieve these goals, and the major near-term schedule objectives of the project.

  18. 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.

  19. Throughput of proportional fair scheduling over Rayleigh fading channels

    E-Print Network [OSTI]

    Leung, Kin K.

    Throughput of proportional fair scheduling over Rayleigh fading channels E. Liu and K.K. Leung The proportional fair scheduling (PFS) algorithm is implemented in current 3G wireless networks for high data rate of proportional fairness is NP-hard. An analytical expression is obtained to approximate the throughput of PFS

  20. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1995-02-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control, and reporting. The ground-water sampling schedule identifies ground-water sampling .events used by PNL for environmental surveillance of the Hanford Site. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

  1. Scheduling information broadcast in asymmetric environment

    E-Print Network [OSTI]

    Hameed, Sohail

    1997-01-01

    that in such environments, the server should broadcast the information periodically. Many researchers have shown their interest in this area and their nature of work covers a broad horizon. The key to efficient broadcasting lies very much on the way the schedule...

  2. A GA-based Approach for Scheduling Decomposable Data Grid Applications

    E-Print Network [OSTI]

    Weissman, Jon

    A GA-based Approach for Scheduling Decomposable Data Grid Applications Seonho Kim and Jon B data onto communication and computation resources. The proposed GA-based scheduler takes advantage, Data Grid, Job Scheduling, Genetic Algorithm, Parallel Processing Relevant technical areas: Network-Based

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

    SciTech Connect (OSTI)

    Deng, Xunming; Fan, Qi Hua

    2011-12-31

    The University of Toledo (UT), working in concert with its 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 /s a-Si and >= 20 /s nc-Si or 4 /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.

  4. Experiment Scheduling Committee

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

    Experiment Scheduling Committee Title Name Phome Email Deputy Director for Research Bob McKeown (757) 269-6481 bmck@jlab.org Physics Division AD (co-chair) Rolf Ent (757) 269-7373...

  5. Energy Exchange Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Exchangeis 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...

  6. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    572 dated 3215 Contract No. DE-AC04-94AL85000 Modification No. M202 Page 2 Part I - The Schedule Sections B through H TABLE OF CONTENTS B-1 SERVICES BEING ACQUIRED...

  7. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    93015 to Mod 0588 Contract No. DE-AC04-94AL85000 Modification No. M202 Page 2 Part I - The Schedule Sections B through H TABLE OF CONTENTS B-1 SERVICES BEING ACQUIRED...

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

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

    (Updated December 16, 2014, with changes noted in the following sections: Proposed Formula Rate for Scheduling, System Control and Dispatch Service, Proposed Rate for...

  9. Model Energy Savings Performance Contract, Schedules, and Exhibits...

    Energy Savers [EERE]

    and Payment Schedule Schedule J: Compensation to ESCO for Annual Services Schedule K: Rebates, Incentives and Grants Schedule L: Contingency Fund Schedules M-P: Left blank for...

  10. 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

  11. CE 4990 -Construction Scheduling Integrating Cost and Schedule

    E-Print Network [OSTI]

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

  12. 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

  13. schedule_2005.xls

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

    5 Long Range Operations Schedule (October 2004 - September 2005) 1 1 1 1 1 4 1 1 1 1 1 1 1 2 2 2 1 2 2 4 2 4 2 2 2 2 2 2 3 3 3 1 3 3 4 3 4 3 3 3 3 3 5 3 4 4 4 1 ...

  14. The influence of sex-role orientation on membership, activity participation rates, and perceived masculinity-femininity of activities at select fitness and health clubs in the Burlington, Vermont area / cby Susan Kay Bulmer

    E-Print Network [OSTI]

    Bulmer, Susan Kay

    1986-01-01

    THE INFLUENCE OF SEX-ROLE ORIENTATION ON MEMBERSHIP, ACTIVITY PARTICIPATIDN RATES, AND PERCEIVED MASCULINITY-FEMININITY DF ACTIVITIES AT SELECT FITNESS AND HEALTH CLUBS IN THE BURLINGTON, VERMONT AREA A Thesis by SUSAN KAY BULMER Submitted... PARTICIPATION RATES, AND PERCEIVED MASCULINITY-FEMININITY OF ACTIVITIES AT SELECT FITNESS . AND HEALTH CLUBS IN THE BURLINGTDN, VERMONT AREA A Thesis by SUSAN KAY BULMER Approved as to style and content by: J nna M. Westphal ( air of Committee) James H...

  15. 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

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity PartnershipsSavannahSchedule

  17. Schedule of Events

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity PartnershipsSavannahScheduleEvents

  18. LANSCE | User Resources | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat Pumps HeatTechnologies| BlandineHistory FromSchedules You

  19. LCLS 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResource and JobLCLS Operating Schedule August - December

  20. Green Scheduling: Scheduling of Control Systems for Peak Power Reduction

    E-Print Network [OSTI]

    Pappas, George J.

    Green Scheduling: Scheduling of Control Systems for Peak Power Reduction Truong Nghiem, Madhur Behl, George J. Pappas and Rahul Mangharam Department of Electrical and Systems Engineering University and air quality control systems within buildings and datacenters operate independently of each other

  1. 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

  2. FREH CONFERENCE ROOMS Scheduling Requirements

    E-Print Network [OSTI]

    Pittendrigh, Barry

    1/12/2015 FREH CONFERENCE ROOMS Scheduling Requirements: The 1st or 2nd Floor Operations Clerk it in the location or the body of the room reservation. Schedule ALL conference rooms and/or equipment needs ONLY" dumpster outside by the loading dock. Please CANCEL the conference room reservation

  3. 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

  4. Cyclical-Transmission-Schedule Reservation Technique

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2010-01-01

    52) (58) (56) CYCLICAL-TRANSMISSION-SCHEDULE 6,118,787 A *for Topology Dependent Transmission Scheduling, in Proc.times an associ- ated transmission waiting time; and

  5. Initial Studies Toward Real-Time Transmission Path Rating

    SciTech Connect (OSTI)

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

    2012-07-26

    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.

  6. Gain-scheduled `1 -optimal control for boiler-turbine dynamics

    E-Print Network [OSTI]

    Shamma, Jeff S.

    Gain-scheduled `1 -optimal control for boiler-turbine dynamics with actuator saturation Pang; accepted 2 June 2003 Abstract This paper presents a gain-scheduled approach for boiler-turbine controller the magnitude and rate saturation constraints on actuators. The nonlinear boiler-turbine dynamics is brought

  7. Simultaneous Design, Scheduling and Operation Through Process Integration

    E-Print Network [OSTI]

    Al-Mutairi, Eid M.

    2009-05-15

    detailed crude oil processing schedule, process unit schedule and blending and shipping schedule. The purpose of the scheduling is to transform the production plan into a schedule useful for all operations within a time horizon of a few days...

  8. Planning and scheduling of PPG glass production, model and implementation.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    production and consumption rates x compatibility matrix between colors x selling price Determine: x sequencePlanning and scheduling of PPG glass production, model and implementation. Ricardo Lima Ignacio of the glass production x capture the essence of the process that is not considered in the Master Production

  9. Distributed Channel Probing for Efficient Transmission Scheduling in Wireless Networks

    E-Print Network [OSTI]

    Srikant, Rayadurgam

    to continuously estimate the channel quality before each transmission decision in opportunistic scheduling over statistics and rates, and note its tightness in the symmetric and independent ON- OFF fading scenario. We transmission decision. However, in the presence of many contending users that utilize the time-varying channel

  10. Scheduling Sparse Numerical Computations Energy & Performance Efficiencies

    E-Print Network [OSTI]

    Raghavan, Padma

    Impacts on algorithm & s/w design-- opportunities for scheduling II. Energy-Aware Scaling Increasing & managing power for O(N) sparse graph/matrix Algorithm/library design for parallelism and dynamic efficiency: Examples of algorithm & s/w redesign through scheduling Summary #12;Scheduling I. Scheduling

  11. On parallel machine scheduling 1

    E-Print Network [OSTI]

    Magdeburg, Universität

    On parallel machine scheduling 1 machines with setup times. The setup has to be performed by a single server. The objective is to minimize even for the case of two identical parallel machines. This paper presents a pseudopolynomial

  12. LCLS Operations Schedule January February...

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

    Operations Schedule January February March April May June July August September October November December 2009 Run 1 Oct. 1-Dec. 17 2010 Run 2 Run 3 May 6 - Sep. 13 Oct. 7 - Dec....

  13. robust passenger oriented airline scheduling

    E-Print Network [OSTI]

    Luis

    2010-10-29

    decision-making process, referred to as airline schedule planning. ... the future passenger demand on each market is of priority concern in the planning ..... Disrupted passengers are passengers that the company does not attend due to lack of.

  14. 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

  15. Project Scheduling (3) Corequisite

    E-Print Network [OSTI]

    Barrash, Warren

    English Composition (3) BUSCOM 201 * Business Communications (3) Labor Relations (HRM 305, 330 or 340) (3 374 ** 2 Labor Relations (select one) HRM 305, 330, 340 3 Area II Core Course (note 5) 3 Specialty

  16. Naughton's related rates problems

    E-Print Network [OSTI]

    dominic

    2013-02-25

    Related rates (1). (1) Oil spills from a rupture container in a circular pattern whose radius increases at a rate of 2 ft/s. How fast is the area of the oil spill increasing...

  17. Graduate Program Time Limits and Work Schedules

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

    Time Limits and Work Schedules Graduate Program Time Limits and Work Schedules Point your career towards Los Alamos Lab: work with the best minds on the planet in an inclusive...

  18. Human aspects of scheduling : a case study

    E-Print Network [OSTI]

    Boasson, Yishai, 1973-

    2006-01-01

    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. Automated and Optimized Project Scheduling Using BIM

    E-Print Network [OSTI]

    Faghihi, Vahid

    2014-04-04

    Construction project scheduling is one of the most important tools for project managers in the Architecture, Engineering, and Construction (AEC) industry. The Construction schedules allow project managers to track and manage the time, cost...

  20. ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING...

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

    information, sensitive unclassified information, special nuclear materials, nuclear weapons, other Government property) ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY,...

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

    Energy Savers [EERE]

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

  2. Re: 'BPA Upcoming 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * Impacts on GlobalRachel2RateCaseElements Sign In AboutRe sRe: 'BPA

  3. Fee Schedule for 2014 University Research and Teaching Rates

    E-Print Network [OSTI]

    Martin, Paul R.

    - gas and oil not included $90.00/day - includes gas and oil for one day rental NOTE - Fees for use Operator Proficiency cards to rent a boat MEDA3 Training and certification required to operate pontoon.S.T. is applicable to non-Queen's users for oil used in boats, photocopies and Fax . Goods and Services Tax G

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratoryofNotices | DepartmentDepartment ofWorkingof

  5. MISS-1-N 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRDEnergyTurbineProcessesEnergyof Energy 6 1:00PM

  6. Pump-1-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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidentialThis 3-D rendering of apump systems by applying bestPumping

  7. Figure 3. Production Schedules at Two Development Rates

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec.12 13Cubic23 PC's3.

  8. Regulation-1 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 RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7,DOERTI |Service2010)RegionalRegulation-1 Wholesale

  9. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department ofBusiness Opportunity SessionJuneofPeer

  10. SOCO-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 on Delicious Rank EERE:Financing Tool FitsProjectData Dashboard Rutland Countyof Energy LearningDepartment1-E

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86) (All Previous EditionsOfficeCarolina Power

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86) (All PreviousCDLB-1003)

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)Contractors International

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)Contractors InternationalSubpartUSE2-3MEAM,

  15. CTVI-1-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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulationInformation Session More Documentscustomers of TVA

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s iof1AGGIEAL2007-04.pdfALFSummit |forAO

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s iof1AGGIEAL2007-04.pdfALFSummit |forAOthe

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s iof1AGGIEAL2007-04.pdfALFSummit

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p u t y A s s iof1AGGIEAL2007-04.pdfALFSummitserved through the

  20. Regulation-1 Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudgetFinancial Opportunitiesof Energy

  1. Replacement-1 Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested

  2. SOCO-2-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION J APPENDIX ADepartment ofEnergyofSMARTSOCO-2-E

  3. SOCO-3-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION J APPENDIX ADepartment

  4. Santee-3-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION JSTEM-ing theSummary of Reported6,nationalEnergy3-E

  5. Santee-4-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-AA-1 SECTION JSTEM-ing theSummary of

  6. Pump-2 Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || Department ofDepartmentEnergyofEnergy Pump

  7. NC-1-B Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -Department of EnergyNEW YORK STATENASACompanyfromNC-1-B Wholesale

  8. JW-1-J Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA Public CommentInverted Attic9: What are theU N E 2 0 1 1 A1-J

  9. JW-2-F Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA Public CommentInverted Attic9: What are theU N E 2 0 1 1

  10. VA-1-B 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService2 1 2 1

  11. VA-2-B 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService2 1 2 12-B

  12. VA-3-B 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService2 1 2

  13. VA-4-B 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService2 1 24-B

  14. VANC-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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartment ofDeploymentDepartmentService2 1

  15. 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 on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabeth Sherwood-RandallAdvanced1-E

  16. Duke-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 on Delicious Rank EERE: Alternative Fuels DataEnergy Webinar:IAbout Us|ofElizabeth Sherwood-RandallAdvanced1-E2-E

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLCEfficiency |CBA.PDF� More Documents &Rivers and

  18. CTV-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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLCEfficiencyCOP 21: The Revolutionone that is

  19. 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 DataEnergy Webinar: DemonstrationProgram | Department|DECEMBER 2-3, 2015

  20. Linux Kernel Co-Scheduling For Bulk Synchronous Parallel Applications...

    Office of Scientific and Technical Information (OSTI)

    INFORMATION SCIENCE; ALGORITHMS; DESIGN; IMPLEMENTATION; KERNELS; PERFORMANCE; SUPERCOMPUTERS Operating systems; OS noise; OS interference; co-scheduling; coordinated scheduling...

  1. COMPUTER INFORMATION SYSTEMS Suggested Schedule

    E-Print Network [OSTI]

    Thaxton, Christopher S.

    Sophomore Year 3rd Semester Senior Year 7th Semester *ACC 2100 (must make a "C-" or better) *ECO 2030COMPUTER INFORMATION SYSTEMS 2011-2012 BSBA Suggested Schedule Freshman Year 1st Semester Junior Year 5th Semester *ENG 1000 (must make a "C" or better) UCO 1200 (First Year Seminar) Gen. Ed

  2. ANALYSING DYNAMIC FUNCTION SCHEDULING DECISIONS

    E-Print Network [OSTI]

    Harrison, Michael

    , University of York, York YO10 5DD, UK Abstract: Function allocation, as a process used in the construction, the notion of dynamic function allocation becomes increasingly desirable where in certain situations of dynamic function allocation that reflects typical work activity where the dynamic scheduling of activities

  3. Criteria-Directed Task Scheduling Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    to task scheduling called Design-to-Criteria that controls the combinatorics via a satis cing methodology and custom designs schedules to meet a particular client's goal criteria. In Design-to- Criteria, criteria the scheduling problem tractable. We describe the interesting facets of the Design-to-Criteria approach and give

  4. Scheduling Wireless Links with Successive Interference Cancellation

    E-Print Network [OSTI]

    Scheduling Wireless Links with Successive Interference Cancellation Olga Goussevskaia Department@tik.ee.ethz.ch Abstract--In this paper we study the problem of scheduling wireless links in a model where successive in strength significantly. It has been shown that the problem of scheduling wireless links with successive

  5. South Carolina Department of Archives and History Archives and Records Management Service Area

    E-Print Network [OSTI]

    Kunkle, Tom

    South Carolina Department of Archives and History Archives and Records Management Service Area 1919 Blanding Street, Columbia South Carolina 29201 General Records Retention Schedules for Data Processing

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

    SciTech Connect (OSTI)

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

    2011-06-30

    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.

  7. Scheduling the Remediation of Port Hope: Logistical and Regulatory Challenges of a Multiple Site Urban Remediation Project - 13119

    SciTech Connect (OSTI)

    Ferguson Jones, Andrea; Lee, Angela; Palmeter, Tim

    2013-07-01

    The Port Hope Project is part of the larger CAN$1.28 billion Port Hope Area Initiative (PHAI), a community-based program for the development and implementation of a safe, local, long-term management solution for historic Low-Level Radioactive Waste (LLRW) in the Municipalities of Port Hope and Clarington, Ontario, Canada. Atomic Energy of Canada (AECL) is the Project Proponent, Public Works and Government Services (PWGSC) is managing the procurement of services and the MMM Group Limited - Conestoga Rovers and Associates Joint Venture (MMM-CRA Joint Venture) is providing detailed design and construction oversight and administration services for the Project. The Port Hope Project includes the construction of a long-term waste management facility (LTWMF) in the Municipality of Port Hope and the remediation of 18 (eighteen) large-scale LLRW, numerous small-scale sites still being identified and industrial sites within the Municipality. The total volume to be remediated is over one million cubic metres and will come from sites that include temporary storage sites, ravines, beaches, parks, private commercial and residential properties and vacant industrial sites all within the urban area of Port Hope. Challenges that will need to be overcome during this 10 year project include: - Requirements stipulated by the Environmental Assessment (EA) that affect Project logistics and schedule. - Coordination of site remediation with the construction schedule at the LTWMF. - Physical constraints on transport routes and at sites affecting production rates. - Despite being an urban undertaking, seasonal constrains for birds and fish (i.e., nesting and spawning seasons). - Municipal considerations. - Site-specific constraints. - Site interdependencies exist requiring consideration in the schedule. Several sites require the use of an adjacent site for staging. (authors)

  8. Considerations in Construction Sequence Scheduling Pre-Construction Evaluation: Before construction, evaluate, mark, and protect trees,

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Considerations in Construction Sequence Scheduling Pre-Construction Evaluation: Before construction, evaluate, mark, and protect trees, areas to be preserved, and areas of vegetation suitable for filter strips. Construction Access: Construct a stabilized entrance and limit vehicle access to the site

  9. Disposition Schedules | 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 Data Center HomeVehicleDepartment ofGraphics » DOEDisposition Schedules

  10. Spent nuclear fuel project integrated schedule plan

    SciTech Connect (OSTI)

    Squires, K.G.

    1995-03-06

    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.

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

    SciTech Connect (OSTI)

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

    2010-08-01

    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.

  12. APCF Construction Schedule | Advanced Photon Source

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

    ahead schedule, please click the PDF calendar to the left. The potential for ground vibration is noted in the "Impact" column (None, Small, Moderate, High, Very High). Daily...

  13. INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS

    E-Print Network [OSTI]

    Kelly Beranger

    2012-03-22

    Mar 22, 2012 ... INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS. Please view rather than print this information. Current deadlines can be...

  14. JOBAID- WITHDRAWING FROM A SCHEDULED OFFERING

    Broader source: Energy.gov [DOE]

    The purpose of this job aid is to guide users through the step-by-step process of withdrawing from a scheduled offering.

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

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

    activities. Many of these records have continuing historical value after they are no longer of use to the Department. This records schedule covers only disposable records...

  16. AVLIS production plant project schedule and milestones

    SciTech Connect (OSTI)

    Not Available

    1984-11-15

    An AVLIS Production Plant Deployment Schedule for the engineering, procurement, and construction for both the Initial Increment of Production and the fully Activated Plant, has been developed by the project team consisting of Lawrence Livermore National Laboratory, Martin Marietta Energy Systems, Inc. with architect-engineer support from Bechtel National, Inc., Stone and Webster Engineering Corporation, and Westinghouse Corporation. The initial deployment phase consists of six separators modules and the three laser power amplifier modules consistent with the FY84 reference design with a name plate capacity of 5 million separative work units/yr followed by a full plant activation to approximately 13 million separative work units/yr. The AVLIS Production Plant project team's strategy for deployment schedule analysis focused on three schedule options: engineering limited schedule; authorization limited schedule; and funding limited project schedule. The three deployment schedule options developed by AVLIS project team have been classified in ranges such as an optimistic, rapid/moderate, or moderate/pessimistic based on the probability of meeting the individual schedule option's major milestones or program objectives of enriching uranium by the AVLIS process in an effective cost and schedule manner. 47 figures, 7 tables.

  17. Schedule

    E-Print Network [OSTI]

    C: Todd Quinto (Tufts University): The Microlocal Analysis of some ... D: Faouzi Triki (Laboratoire Jean Kuntzmann, France): Vibration potential tomography...

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity

  19. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatric Cancer ResearchNarrowsNationalPlease

  20. Scheduling: Proportional Share In this chapter, we'll examine a different type of scheduler known as a

    E-Print Network [OSTI]

    Arpaci-Dusseau, Remzi

    9 Scheduling: Proportional Share In this chapter, we'll examine a different type of scheduler known as a proportional-share scheduler, also sometimes referred to as a fair-share scheduler. Proportional-share is based of proportional-share scheduling is found in research by Waldspurger and Weihl [WW94], and is known as lottery

  1. This project shows the strength of the combination of LEAN manufacturing techniques and (CP-based) scheduling. The former techniques allow a business to take a critical look at its operations to identify areas for improvement, and in combination with the

    E-Print Network [OSTI]

    Foley, Simon

    This project shows the strength of the combination of LEAN manufacturing techniques and (CP" in Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing, 2006. (awarded best industrial paper) [2] R. van der Krogt and J. Little, "Scheduling for Cell Manufacturing", submitted to 13th

  2. Bandwidth Guaranteed Multicast Scheduling for Virtual Output Queued Packet Switches

    E-Print Network [OSTI]

    Pan, Deng

    Bandwidth Guaranteed Multicast Scheduling for Virtual Output Queued Packet Switches Deng Pan Dept in Internet multimedia applications. Although several multicast scheduling schemes for packet switches have output queued (VOQ) switches. We propose the Credit based Multicast Fair scheduling (CMF) algorithm

  3. Scheduling on the MasPar SIMD parallel computer

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01

    This thesis studies the feasibility of a task scheduler for a parallel operating system. After analyzing several task scheduling algorithms, the highest level first algorithm was chosen. This algorithm has been empirically found to build schedules...

  4. 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

  5. Rating Element

    Office of Environmental Management (EM)

    7.5 0.0 0.0 A4 Independent Cost EstimateSchedule Review P 3.0 NA 0.0 0.0 0.0 A5 Life Cycle Cost P 3.0 1 3.0 0.0 0.0 A6 Forecast of Cost at Completion P 3.0 NA 0.0 0.0 0.0 A7...

  6. Environmentally Conscious Hoist Scheduling for Electroplating Facilities

    E-Print Network [OSTI]

    Huang, Yinlun

    coating on workpieces. In the U.S., there are over 10,000 electroplating plants, which pro- vide numerousEnvironmentally Conscious Hoist Scheduling for Electroplating Facilities ISIK KUNTAY, QIANG XU University, Detroit, Michigan Hoist scheduling in electroplating operations has long been considered a key

  7. Planning and Scheduling to Minimize Makespan & Tardiness

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    by give-and- take. Approach Planner Schedulers And so forth until agreement is reached. #12;14 In practice, problem is often solved by give-and- take. Approach Planner Schedulers And so forth until agreement is reached. Benders decomposition is a mathematical formulation of this process. Planning is the master

  8. PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE

    E-Print Network [OSTI]

    Neil, Martin

    the traditional critical path method (CPM) to handle uncertainty and also provides explanatory analysis to elic scheduling; uncertainty; Bayesian networks; critical path method; CPM O1007 by the Prolett Management is to adapt one of the best-used scheduling techniques, critical path method (CPM) (Kelly, 1961

  9. 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

  10. REGISTRATION HANDBOOK AND SCHEDULE OF COURSES

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    REGISTRATION HANDBOOK AND SCHEDULE OF COURSES FALL 1992 BODilSEROFFICE OF THE REGISTRAR PRICE: $ 1 Registration Handbook and Schedule ofCourses. This official publication ofthe registrar's office recently into this handbook. We are especially pleased to include the core curricu- lum listings for the College of

  11. IBM Watson, Nov. 2008 1 Parallel Scheduling

    E-Print Network [OSTI]

    Guestrin, Carlos

    IBM Watson, Nov. 2008 1 Parallel Scheduling Theory and Practice Guy Blelloch Carnegie Mellon University #12;IBM Watson, Nov. 2008 2 Parallel Languages User Scheduled MPI, Pthreads (typical usage) System. #12;IBM Watson, Nov. 2008 3 Example: Quicksort procedure QUICKSORT(S): if S contains at most one

  12. STEPS FOR ADDING/REMOVING AN INSTRUCTOR FROM A COURSE Path: Curriculum Management-> Schedule of Classes -> Maintain Schedule of Classes

    E-Print Network [OSTI]

    Qiu, Weigang

    Management-> Schedule of Classes -> Maintain Schedule of Classes 1.Curriculum Management 2. Curriculum Management 3.Maintain Schedule of Classes the (default) entries for "Load Factor" and "Work Load" #12; 14. Click "Save

  13. Parallel machine match-up scheduling with manufacturing cost considerations

    E-Print Network [OSTI]

    Aktrk, M. Selim; Atamtrk, Alper; Grel, Sinan

    2010-01-01

    approach for the single machine scheduling problem. Journaldecisions on parallel CNC machines: -constraint approach.mechanism for the CNC machine scheduling problems with

  14. 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...

  15. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

    Office of Environmental Management (EM)

    Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4, January - March 2006 Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4, January -...

  16. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

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

    Operating Plan of Mirant Potomac River, LLC Exhibit D: Mirant Potomac River Schedule of Unit Operations More Documents & Publications Exhibit D: Mirant Potomac River Schedule of...

  17. Sec. Moniz to Georgia, Energy Department Scheduled to Close on...

    Office of Environmental Management (EM)

    Energy Department Scheduled to Close on Loan Guarantees to Construct New Nuclear Power Plant Reactors Sec. Moniz to Georgia, Energy Department Scheduled to Close on Loan...

  18. Sec. Moniz to Georgia, Energy Department Scheduled to Close on...

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

    Georgia, Energy Department Scheduled to Close on Loan Guarantees to Construct New Nuclear Power Plant Reactors Sec. Moniz to Georgia, Energy Department Scheduled to Close on Loan...

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

    Office of Environmental Management (EM)

    02 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...

  20. NRC comprehensive records disposition schedule. Revision 3

    SciTech Connect (OSTI)

    1998-02-01

    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).

  1. Risk-based Maintenance Allocation and Scheduling for Bulk Electric Power Transmission System Equipment

    E-Print Network [OSTI]

    risk of wide-area bulk transmission system failures. The work makes use of two previously developed1 Risk-based Maintenance Allocation and Scheduling for Bulk Electric Power Transmission System for bulk transmission equipment that is based on the cumulative long-term risk caused by each piece

  2. Acceleration of the Jacobi iterative method by factors exceeding 100 using scheduled relaxation

    E-Print Network [OSTI]

    Mittal, Rajat

    Acceleration of the Jacobi iterative method by factors exceeding 100 using scheduled relaxation Abstract We present a methodology that accelerates the classical Jacobi iterative method by factors of the Jacobi method. Mathematical conditions that maximize the convergence rate are derived and optimal schemes

  3. Scheduling Switching Element (SE) Disjoint Connections in StageControlled Photonic Banyans 1

    E-Print Network [OSTI]

    Qiao, Chunming

    . For a given set of connections (or packets), it is desirable to establish them in as few rounds as possible where the number of rounds (i.e. schedule length) corresponds to the degree at which a crossconnect mayrate and a high degree of transparency (e.g. coding format) as well as virtually unlimited bandwidth [5, 6

  4. Response Time versus Utilization in Scheduler Overhead Accounting

    E-Print Network [OSTI]

    Sokolova, Ana

    Response Time versus Utilization in Scheduler Overhead Accounting Silviu S. Craciunas Christoph M.lastname@cs.uni-salzburg.at Abstract--We propose two complementary methods to account for scheduler overhead in the schedulability CPU bandwidth to processes. Scheduler overhead in VBS may be accounted for either by decreasing pro

  5. COPS: A Framework for Consumer Oriented Proportional-share Scheduling

    E-Print Network [OSTI]

    Back, Godmar

    COPS: A Framework for Consumer Oriented Proportional-share Scheduling by Abhijit Deodhar Thesis Cameron Eli Tilevich May 14, 2007 Blacksburg, Virginia Keywords: Scheduling, proportional share, VTRR Proportional-share Scheduling Abhijit Deodhar Abstract Scheduling forms an important aspect of operating

  6. Project Schedule Optimization in a Telecommunications Environment

    E-Print Network [OSTI]

    Taliaferro, Chris

    2013-12-20

    Veritas Corporation is a thriving company in the fast-paced telecommunications industry. To keep up with the dynamic industry, a significant quantity of projects must be scheduled in a short time period without impacting each other. While Veritas...

  7. 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 Associate Dean Only Thesis/Dissertation/Seminar location and time listed above is: Confirmed

  8. 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

  9. Fair Scheduling in Networks Through Packet Election

    E-Print Network [OSTI]

    Jagabathula, Srikanth

    We consider the problem of designing a fair scheduling algorithm for discrete-time constrained queuing networks. Each queue has dedicated exogenous packet arrivals. There are constraints on which queues can be served ...

  10. Production Scheduling with Energy Efficiency Constraints

    E-Print Network [OSTI]

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

    2007-01-01

    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...

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

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    to scheduling in microgrids, Energy, vol. 36, no. 7, pp.of Commercial-Building Microgrids, IEEE Transactions onfor LV unbalanced microgrids with plugged-in electric

  12. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    GANTT, D.A.

    2000-01-12

    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.

  13. Real Options for Project Schedules (ROPS)

    E-Print Network [OSTI]

    Ingber, Lester

    2007-01-01

    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.

  14. 2011 Annual Report [WESTERN AREA POWER ADMINISTRATION

    SciTech Connect (OSTI)

    2011-01-01

    Westerns 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.

  15. Optimize the Supply Air Temperature Reset Schedule for a Single-Duct VAV System

    E-Print Network [OSTI]

    Wei, G.; Claridge, D. E.; Liu, M.

    2000-01-01

    with different interior area ratios, load conditions, minimum supply airflow rates, and thermal to electrical energy price ratios....

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

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2009-01-20

    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.

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

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2010-01-08

    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.

  18. Inspector General audit report on Transportation Safeguards Division courier work schedules and escort vehicle replacements

    SciTech Connect (OSTI)

    NONE

    1998-12-01

    The Office of Inspector General`s (OIG) April 1995 report found that couriers received too much overtime and incurred too much unproductive time. This finding occurred because the Transportation Safeguards Division (TSD) employed a traditional work schedule that did not meet the demands of the job. The report recommended implementing an alternative work schedule that corresponded more closely to the couriers` actual work requirements. Management agreed to conduct a comparative analysis of work schedules to evaluate potential savings. The objectives of this audit were to (1) follow up on actions taken as a result of the OIG`s previous report, (2) determine if courier work schedules are cost effective, and (3) determine the cost effectiveness of escort vehicle replacements. The authors recommend: (1) implementing an alternative work schedule for courier which would achieve savings in overtime and unproductive time, while efficiently and cost effectively fulfilling TSD`s mission; (2) reexamining and adjusting the staffing level of each courier section in relation to the workload requirements in the area; and (3) discontinuing payment for travel time between courier lodging and temporary duty stations. The Albuquerque Operations Office agreed with the auditor`s findings and recommendations.

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

    E-Print Network [OSTI]

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

    2014-01-01

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01

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

  2. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

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

    2014-11-16

    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.

  3. SOLICITATION, OFFER, AND AWARD 1. THIS CONTRACT IS A RATED ORDER

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

    17. SIGNATURE 18. OFFER DATE AREA CODE NUMBER EXT. ADDRESS IS DIFFERENT FROM ABOVE - ENTER SUCH ADDRESS IN SCHEDULE. AWARD (To be completed by Government) 19. ACCEPTED AS TO...

  4. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    week look-ahead schedule Impact: None to Small. The activities that may have a high vibration potential (e.g. demolition, the use of vibratory roller compactor) will be scheduled...

  5. Instruction scheduling optimizations for energy efficient VLIW processors

    E-Print Network [OSTI]

    Porpodas, Vasileios

    2013-11-28

    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. ...

  6. Absenteeism prediction and labor force optimization in rail dispatcher scheduling

    E-Print Network [OSTI]

    Jensen, Taylor (Taylor Moroni)

    2013-01-01

    Unplanned employee absences are estimated to account for a loss of 3% of scheduled labor hours. This can be costly in railroad dispatcher scheduling because every absence must be filled through overtime or a qualified extra ...

  7. Gain Scheduled Control Using the Dual Youla Parameterization

    E-Print Network [OSTI]

    Chang, Young Joon

    2011-08-08

    at fixed values of the scheduling variable. For Linear Parameter Varying (LPV) model representations, a controller interpolation method using Youla parameterization that guarantees stability despite fast transitions in scheduling variables is proposed...

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

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

    Scheduled Line Repair Dec. 1-20, 2006 Docket No. EO-05-01. Regarding the planned line outage, scheduled for Feb. 20 through Mar. 6, I am requesting that the residents near the...

  9. 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

  10. Supplemental Schedules For the Year Ended June 30, 2014

    E-Print Network [OSTI]

    Stuart, Steven J.

    Supplemental Schedules For the Year Ended June 30, 2014 Clemson, south Carolina A component unit & Learning Technologies, Clemson University. #12;~ 1 ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental Statements of Financial Activity Balance Sheet - Unrestricted Current Funds

  11. Supplemental Schedules For the Year Ended June 30, 2012

    E-Print Network [OSTI]

    Stuart, Steven J.

    Supplemental Schedules For the Year Ended June 30, 2012 Included in the Higher Education ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental Statements of Financial Activity ................................................................ 41 Supplemental Statements of Assets Investment in Plant

  12. Resource constrained scheduling problem at U.S. Naval Shipyards

    E-Print Network [OSTI]

    Nawara, Terrence M. (Terrence Michael)

    2013-01-01

    Submarine repair schedules are some of the most complex schedules seen in project management. Repairs of a nuclear U.S. submarine are resource constrained since resources are divided among approximately thirty shops (e.g. ...

  13. Maintenance scheduling for modular systems-models and algorithms

    E-Print Network [OSTI]

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

    2011-01-01

    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 ...

  14. 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

  15. Professional Skills and Technical Training Program Corporate Training Schedule

    Broader source: Energy.gov [DOE]

    The 2015 Professional Skills Program Training Schedule lists all courses that are offered to DOE program offices, field sites, and national laboratories. (Schedule is updated on a quarterly basis)

  16. 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

  17. McMaster Grid Scheduling Testing Environment

    E-Print Network [OSTI]

    Down, Doug

    resources. One key aim of resource management (scheduling) schemes is to find mappings of incoming workload to machines within the grid to maximize the output. The first contribution of this thesis is the construction . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.1 History of Desktop Grids . . . . . . . . . . . . . . . . . . . . . 9 2.2.2 Examples

  18. Periodic Reward-Based Scheduling and Its

    E-Print Network [OSTI]

    Aydin, Hakan

    catastrophic. Examples of real-time systems can be found in control systems of nuclear power plants, air36 Periodic Reward-Based Scheduling and Its Application to Power-Aware Real-Time Systems Hakan ........................... 36-9 Modeling Real-Time Workload and Energy on a Variable Speed CPU Correlating Real-Time Power

  19. Advance Resource Provisioning in Bulk Data Scheduling

    SciTech Connect (OSTI)

    Balman, Mehmet

    2012-10-01

    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.

  20. Transforming PV Installations Toward Dispatchable, Schedulable...

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

    B C N A B C N A B C N A B C N Ai n Bi n Ci n Aout Bout Cout A B C N A B C N Transforming PV insTallaTions Toward disPaTchable, schedulable energy soluTions MIChAEl MIllS-PrICE,...

  1. Constraint-Based Planning and Scheduling Models

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    and Logistics Laboratory Adaptive traffic signal control [Traffic21, Heinz] The Robotics Institute, CarnegieConstraint-Based Planning and Scheduling Models Stephen F. Smith The Robotics Institute Carnegie Multi-Robot Coordination for Aircraft Assembly [Boeing] - Distributed management of joint plans

  2. Journal of Scheduling ISSN 1094-6136

    E-Print Network [OSTI]

    Waldmann, Uwe

    by continuous casting in the multi- stage production process in steel manufacturing. The task is to find by a particular application in steel production, the continuous casting process. Scheduling this process can, a steel- making process consists of several production stages that la- dles of steel have to pass

  3. CE 4990 -Construction Scheduling Spring Fling

    E-Print Network [OSTI]

    contract award, you have submitted your master schedule which shows completion in 28 working days. At the time of Notice to Proceed, owner informs you that he has redesigned the Int. Parts. (Act 3), the Ext that the additional complexity will: Require 6 additional days of work on the Int. Parts., Require 9 additional

  4. Energy Conscious Scheduling Johnatan E. Pecero

    E-Print Network [OSTI]

    Lefvre, 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

  5. Scheduling with Advanced Process Control Constraints

    E-Print Network [OSTI]

    Hasenbein, John

    companies have to pay great attention to lower their produc- tion costs and guarantee high quality scheduling and APC. A single-machine multiple- job-types makespan problem with APC constraints is proved, 78712, jhas@mail.utexas.edu The Mork Family Department of Chemical Engineering and Materials Science

  6. Wireless Sensor Networks: Scheduling for Measurement

    E-Print Network [OSTI]

    Robertazzi, Thomas G.

    Wireless Sensor Networks: Scheduling for Measurement and Data Reporting MEQUANINT MOGES, Member allocation approach is presented for measurement and data reporting in wireless sensor networks with a single involve each antenna scanning a different frequency and directional range. We emphasize here wireless

  7. Adaptive Battery Charge Scheduling with Bursty Workloads

    E-Print Network [OSTI]

    Wu, Jie

    1 Adaptive Battery Charge Scheduling with Bursty Workloads Dylan Lexie , Shan Lin, and Jie Wu.wu@temple.edu Abstract--Battery-powered wireless sensor devices need to be charged to provide the desired functionality after deployment. Task or even device failures can occur if the voltage of the battery is low

  8. 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

    2013-10-27

    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.

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

    E-Print Network [OSTI]

    Stoltz, Brian M.

    Reserve Scheduling Distributed Energy Resources Controllable loads Electric Vehicles HVAC Systems Thermostatically Controlled Loads [TCLs] Electricity storage Distributed renewable generation [rooftop solar of Distributed Resources Kameshwar Poolla UC Berkeley October 13, 2011 Kameshwar Poolla Caltech Workshop

  10. 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 of a nonconvex Mixed Integer Nonlinear Programming (MINLP) model for the scheduling of crude oil movement of crude oil and products. Furthermore, detailed scheduling models often require a continuous time

  11. A Survey of Pipelined Workflow Scheduling: Models and Algorithms

    E-Print Network [OSTI]

    Benoit, Anne

    A Survey of Pipelined Workflow Scheduling: Models and Algorithms ANNE BENOIT Ecole Normale Sup task-, data-, pipelined-, and/or replicated-parallelism. The scheduling problem that encompasses all of these techniques is called pipelined workflow scheduling, and it has been widely studied in the last decade

  12. Leveraging Uncertainty in Design-to-Criteria Scheduling Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Leveraging Uncertainty in Design-to-Criteria Scheduling Thomas Wagner Computer Science Department Technical Report 1997-11 January 20, 1996 Abstract Design-to-Criteria scheduling is the process of custom to achieve tasks and sub- tasks. Formerly, Design-to-Criteria scheduling relied on simple expected value

  13. Leveraging Uncertainty in DesigntoCriteria Scheduling \\Lambda Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Leveraging Uncertainty in DesigntoCriteria Scheduling \\Lambda Thomas Wagner Computer Science Computer Science Technical Report 199711 January 20, 1996 Abstract DesigntoCriteria scheduling that describes alternate ways to achieve tasks and sub tasks. Formerly, DesigntoCriteria scheduling relied

  14. CriteriaDirected Task Scheduling \\Lambda y Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    to task scheduling called DesigntoCriteria that controls the combinatorics via a satisficing methodology and custom designs schedules to meet a particular client's goal criteria. In Designto Criteria, criteria the scheduling problem tractable. We describe the interesting facets of the DesigntoCriteria approach and give

  15. Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems

    E-Print Network [OSTI]

    Ravindran, Binoy

    Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems Hyeonjoong Cho a Binoy We present the first Utility Accrual (or UA) real-time scheduling algorithm for mul- tiprocessors, called global Multiprocessor Utility Accrual scheduling algorithm (or gMUA). The algorithm considers

  16. Proportional Fair Scheduling: Analytical Insight under Rayleigh Fading Environment

    E-Print Network [OSTI]

    Leung, Kin K.

    Proportional Fair Scheduling: Analytical Insight under Rayleigh Fading Environment Erwu Liu and Kin to the constraint of proportional fairness amongst users. The proportional fair scheduling (PFS) algorithm, but also it applies to various kinds of network scenarios. Keywords-proportional fair scheduling, gaussian

  17. 1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal Generation Scheduling

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Catlica de Chile)

    , and economic load dispatch. Considering a scheduling horizon period of a week, hourly generation schedules

  18. VII. Cost and Schedule The detailed cost and schedule for E889 is contained in a formal Conceptual Design Report

    E-Print Network [OSTI]

    McDonald, Kirk

    VII. Cost and Schedule The detailed cost and schedule for E889 is contained in a formal Conceptual is not available in FY96, then the schedule will slip by about 6 months. The cost estimate summarized here management and QA functions. Full documentation is available for all estimates in the CDR. The base cost

  19. Integrated Cost and Schedule using Monte Carlo Simulation of a CPM Model - 12419

    SciTech Connect (OSTI)

    Hulett, David T.; Nosbisch, Michael R.

    2012-07-01

    This discussion of the recommended practice (RP) 57R-09 of AACE International defines the integrated analysis of schedule and cost risk to estimate the appropriate level of cost and schedule contingency reserve on projects. The main contribution of this RP is to include the impact of schedule risk on cost risk and hence on the need for cost contingency reserves. Additional benefits include the prioritizing of the risks to cost, some of which are risks to schedule, so that risk mitigation may be conducted in a cost-effective way, scatter diagrams of time-cost pairs for developing joint targets of time and cost, and probabilistic cash flow which shows cash flow at different levels of certainty. Integrating cost and schedule risk into one analysis based on the project schedule loaded with costed resources from the cost estimate provides both: (1) more accurate cost estimates than if the schedule risk were ignored or incorporated only partially, and (2) illustrates the importance of schedule risk to cost risk when the durations of activities using labor-type (time-dependent) resources are risky. Many activities such as detailed engineering, construction or software development are mainly conducted by people who need to be paid even if their work takes longer than scheduled. Level-of-effort resources, such as the project management team, are extreme examples of time-dependent resources, since if the project duration exceeds its planned duration the cost of these resources will increase over their budgeted amount. The integrated cost-schedule risk analysis is based on: - A high quality CPM schedule with logic tight enough so that it will provide the correct dates and critical paths during simulation automatically without manual intervention. - A contingency-free estimate of project costs that is loaded on the activities of the schedule. - Resolves inconsistencies between cost estimate and schedule that often creep into those documents as project execution proceeds. - Good-quality risk data that are usually collected in risk interviews of the project team, management and others knowledgeable in the risk of the project. The risks from the risk register are used as the basis of the risk data in the risk driver method. The risk driver method is based in the fundamental principle that identifiable risks drive overall cost and schedule risk. - A Monte Carlo simulation software program that can simulate schedule risk, burn WM2012 rate risk and time-independent resource risk. The results include the standard histograms and cumulative distributions of possible cost and time results for the project. However, by simulating both cost and time simultaneously we can collect the cost-time pairs of results and hence show the scatter diagram ('football chart') that indicates the joint probability of finishing on time and on budget. Also, we can derive the probabilistic cash flow for comparison with the time-phased project budget. Finally the risks to schedule completion and to cost can be prioritized, say at the P-80 level of confidence, to help focus the risk mitigation efforts. If the cost and schedule estimates including contingency reserves are not acceptable to the project stakeholders the project team should conduct risk mitigation workshops and studies, deciding which risk mitigation actions to take, and re-run the Monte Carlo simulation to determine the possible improvement to the project's objectives. Finally, it is recommended that the contingency reserves of cost and of time, calculated at a level that represents an acceptable degree of certainty and uncertainty for the project stakeholders, be added as a resource-loaded activity to the project schedule for strategic planning purposes. The risk analysis described in this paper is correct only for the current plan, represented by the schedule. The project contingency reserve of time and cost that are the main results of this analysis apply if that plan is to be followed. Of course project managers have the option of re-planning and re-scheduling in the face of new facts, in part by m

  20. General Relativity and Gravitation, Vol. 36, No. 3, March 2004 ( C 2004) Experiments in Fundamental Physics Scheduled

    E-Print Network [OSTI]

    Gibble, Kurt

    General Relativity and Gravitation, Vol. 36, No. 3, March 2004 ( C 2004) REVIEW Experiments in Fundamental Physics Scheduled and in Development for the ISS C. Lammerzahl,1 G. Ahlers,2 N. Ashby,3 M experiments in the area of Fundamental Physics that are either approved by ESA and NASA, or are currently

  1. The Dynamical Kernel Scheduler - Part 1

    E-Print Network [OSTI]

    Adelmann, Andreas; Suter, Andreas

    2015-01-01

    Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the developer such as exposing additional parallelism, dealing with different hardware designs and using multiple development frameworks in order to use devices from different vendors. The Dynamic Kernel Scheduler (DKS) is being developed in order to provide a software layer between host application and different hardware accelerators. DKS handles the communication between the host and device, schedules task execution, and provides a library of built-in algorithms. Algorithms available in the DKS library will be written in CUDA, OpenCL and OpenMP. Depending on the available hardware, the DKS can select the appropriate implementation of the algorithm. The first DKS version was created using CUDA for the Nvidia GPUs and OpenMP for Intel MIC. DKS was further integrated in OPAL (Object-or...

  2. A Novel Procedure to Determine Optimal Air Static Pressure Set-points and Reset Schedules in VAV Air Handling Units

    E-Print Network [OSTI]

    Zhu, Y.; Liu, M.; Claridge, D. E.; Turner, W. D.; Powell, T.

    1998-01-01

    . The optimal schedules for the system with DDC controller can also have the low and high limits. A DDDFVAV system has two static pressure sensors. The VFD for hot deck and cold deck fans are controlled separately. Figure 1 shows the diagram of the box... schedules SP,, If the EMCS monitored airflow CFM, then SPo, will be: SP,, = SP,, If SP,, SPhi (10") The flow may be laminar flow when the flow rate is too low. So, the low limit SP,, has to be used. The high limit...

  3. 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.

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications TheGashome /Areas Research Areas

  5. Scheduling Chemotherapy: Catch 22 between Cell Kill and Resistance Evolution

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gardner, Shea N.

    2000-01-01

    Dose response curves show that prolonged drug exposure at a low concentration may kill more cells than short exposures at higher drug concentrations, particularly for cell cycle phase specific drugs. Applying drugs at low concentrations for prolonged periods, however, allows cells with partial resistance to evolve higher levels of resistance through stepwise processes such as gene amplification. Models are developed for cell cycle specific (CS) and cell cycle nonspecific (CNS) drugs to identify the schedule of drug application that balances this tradeoff. The models predict that a CS drug may be applied most effectively by splitting the cumulative dose intomoremany (>40) fractions applied by long-term chemotherapy, while CNS drugs may be better applied in fewer than 10 fractions applied over a shorter term. The model suggests that administering each fraction by continuous infusion may be more effective than giving the drug as a bolus, whether the drug is CS or CNS. In addition, tumors with a low growth fraction or slow rate of cell division are predicted to be controlled more easily with CNS drugs, while those with a high proliferative fraction or fast cell division rate may respond better to CS drugs.less

  6. 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

    2014-04-22

    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.

  7. Design of a Deep Space Network Scheduling Application Bradley J. Clement and Mark D. Johnston

    E-Print Network [OSTI]

    Schaffer, Steven

    for generating schedules are currently only specified in hours/week per antenna. DSN schedulers need more manual and collaborative effort to generate schedules and resolve conflicts has spurred an effort-month schedule. Schedules are currently manually generated a year into the future with allocations

  8. ISIS 9.0 | Student Center|Schedule Planner Created: 03.30.15

    E-Print Network [OSTI]

    Capogna, Luca

    1 ISIS 9.0 | Student Center|Schedule Planner Created: 03.30.15 Student Center - Schedule Planner ISIS 9.0 Schedule Planner 1. Access Schedule Planner 1.1 Log on to your Student Center. 1.2 Click in the upper right corner of the page. #12;2 ISIS 9.0 | Student Center|Schedule Planner Created: 03

  9. Reminder Reserving and Scheduling Transmission over the Time...

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

    of Conduct Tariff TF Web Based Training Notice: Reminder - Reserving & Scheduling Transmission over the Time Change Posted Date: 342015 Effective March 8, 2015 at 0200 Pacific...

  10. Reserving and Scheduling Transmission over the Time Change -...

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

    Standards of Conduct Tariff TF Web Based Training Notice: Reserving & Scheduling Transmission over the Time Change Posted Date: 2232015 Effective March 8, 2015 at 0200 Pacific...

  11. Reserving and Scheduling Transmission over the Time Change -...

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

    Standards of Conduct Tariff TF Web Based Training Notice: Reserving & Scheduling Transmission over the Time Change Posted Date: 10172014 Effective November 2, 2014 at 0200...

  12. Reminder Reserving and Scheduling Transmission over the Time...

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

    of Conduct Tariff TF Web Based Training Notice: Reminder - Reserving & Scheduling Transmission over the Time Change Posted Date: 10292014 Effective November 2, 2014 at 0200...

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2015-01-03

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

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

    Office of Environmental Management (EM)

    my concern that the above scheduled line outage was likely to cause Mirant plant emission exceedances, putting at risk the health of over 4000 Alexandrians residing near the...

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

    Energy Savers [EERE]

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

  16. Maximizing productivity & profitability through best cost shift schedules

    SciTech Connect (OSTI)

    Coleman, R.

    1996-12-31

    If you have the right equipment and employees at the right place, the fight time, and the right cost, you have the perfect business schedule. But, if you`re like most mines, you can probably improve your schedule, improvements that will reach all the way to the bottom line. And unlike adding employees, materials, or capital equipment, better scheduling is a cost-free way improve profitability. A good schedule can save millions. A bad schedule will cost money every year. A shift schedule is not a day off pattern or shift length. A shift schedule is a complete system deploying personnel and capital equipment. Most mining schedules are either copied from another operation, based on tradition or the result of a contract negotiation made far from the mine site. Unfortunately, most mine managers don`t give much thought to schedules until a crisis develops; at which point the tendency is to implement the first solution that comes along as quickly as possible. Costly mistakes are made.

  17. Appliance Standards Program Schedule - CCE Overview and Update...

    Energy Savers [EERE]

    October 26, 2011 This document is Appliance Standards Program Schedule & CCE Overview and Update presentation, dated 10262011, presented to Energy-Efficiency Advocacy Groups...

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

    Office of Environmental Management (EM)

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

  19. 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...

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

    E-Print Network [OSTI]

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

  1. Sequencing and Scheduling in Coil Coating with Shuttles

    E-Print Network [OSTI]

    Mar 18, 2010 ... Sequencing and Scheduling in Coil Coating with Shuttles. Wiebke Hhn(hoehn * **at*** math.tu-berlin.de) Felix G. Knig(fkoenig ***at***...

  2. 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...

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

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    3.2 - Surface Drilling ------------------------------ COSTLBL-11490 COST AND SCHEDULE FOR DRILLING AND MININGDevelopment In-Mine Drilling The cost and time required for

  4. 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...

  5. Descriptions of ESPC Task Order Schedules and Placement of Pricing...

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

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

  6. Dawn Usage, Scheduling, and Governance Model

    SciTech Connect (OSTI)

    Louis, S

    2009-11-02

    This document describes Dawn use, scheduling, and governance concerns. Users started running full-machine science runs in early April 2009 during the initial open shakedown period. Scheduling Dawn while in the Open Computing Facility (OCF) was controlled and coordinated via phone calls, emails, and a small number of controlled banks. With Dawn moving to the Secure Computing Facility (SCF) in fall of 2009, a more detailed scheduling and governance model is required. The three major objectives are: (1) Ensure Dawn resources are allocated on a program priority-driven basis; (2) Utilize Dawn resources on the job mixes for which they were intended; and (3) Minimize idle cycles through use of partitions, banks and proper job mix. The SCF workload for Dawn will be inherently different than Purple or BG/L, and therefore needs a different approach. Dawn's primary function is to permit adequate access for tri-lab code development in preparation for Sequoia, and in particular for weapons multi-physics codes in support of UQ. A second purpose is to provide time allocations for large-scale science runs and for UQ suite calculations to advance SSP program priorities. This proposed governance model will be the basis for initial time allocation of Dawn computing resources for the science and UQ workloads that merit priority on this class of resource, either because they cannot be reasonably attempted on any other resources due to size of problem, or because of the unavailability of sizable allocations on other ASC capability or capacity platforms. This proposed model intends to make the most effective use of Dawn as possible, but without being overly constrained by more formal proposal processes such as those now used for Purple CCCs.

  7. Renewable Fuel Standard Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-bRenewable Energy RFPsLtd RES GroupStandard Schedule

  8. High School Schedule | The Ames Laboratory

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: Professor -| ArgonneSchedule January 23,

  9. Middle School Schedule | The Ames Laboratory

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 Assessment ofLana7, at 3:00TheoryofSchedule Saturday,

  10. Schedulability and Energy Efficiency for Multi-core Hierarchical Scheduling Systems

    E-Print Network [OSTI]

    David, Alexandre

    on a multi- core platform. The framework is realized using Parameterized Stopwatch Automata describing knowledge, our paper is the first one considering hierarchical scheduling, multi-core platforms and energy-time systems. Within the industrial domains of avionics and automotive, the safe composition of several

  11. Reducing Pausing at Rich-to-Lean Schedule Transitions: Effects of Variable-Ratio Schedules and Noncontingent Timeouts

    E-Print Network [OSTI]

    Brewer, Adam Thornton

    2012-08-31

    pausing at rich-lean transitions is that the reinforcers are delivered according to FR schedules (rats: Galuska & Yadon, 2011; Wade-Galuska, Perone, & Wirth, 2005; pigeons: Perone, 2003; Perone & Courtney, 1992; monkeys: Galuska, Wade-Galuska, Woods...-lean transitions with FR schedules (e.g., mult FR 80, 7 pellets; mult FR 80, 1 pellet) could be reduced with VR schedules (e.g., mult VR 80, 7 pellets; mult VR 80, 1 pellet). In addition, the effects of two different VR schedule configurations on pausing at rich...

  12. Throughput Performance of Quantized Proportional Fair Scheduling with Adaptive Modulation and

    E-Print Network [OSTI]

    Ishizaki, Fumio

    Throughput Performance of Quantized Proportional Fair Scheduling with Adaptive Modulation where QPF (Quantized Proportional Fair) scheduling and AMC (adaptive modulation and coding) scheme condition [11]. To solve this unfair problem, the proportional fair (PF) scheduling was proposed where

  13. 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 Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling consider schedule lengths, completely ignoring energy consumption of clusters. In this regard, we propose

  14. Display Requirements for an Interactive Rail Scheduling Display

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    the development of an interactive in-cab scheduling interface. Information about current high speed railDisplay Requirements for an Interactive Rail Scheduling Display Jacqueline M. Tappan1 , David J, paper speed charts, and rote memorization to meet the many demands of train operation. The separation

  15. Competitive Video on Demand Schedulers for Popular Movies y

    E-Print Network [OSTI]

    Competitive Video on Demand Schedulers for Popular Movies y Christos Bouras Vaggelis Kapoulas the online video on demand problem, namely having to accept or reject a request for a movie without knowing on demand, online scheduling algorithm, competitive ratio, probability distribution. A previous version

  16. Solving the University Class Scheduling Problem Using Advanced ILP Techniques

    E-Print Network [OSTI]

    Aloul, Fadi

    Solving the University Class Scheduling Problem Using Advanced ILP Techniques Ahmed Wasfy and Fadi and algorithms have been proposed to solve scheduling problems, most of which are based on local search the problem. The ILP model of interest is developed and solved using the three advanced ILP solvers based

  17. Optimal Scheduling of Continuous Plants with Energy Constraints

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    multiproduct plants with parallel units and shared storage tanks. Processing tasks are energy intensive and we. Scheduling has been receiving considerable attention by the Process Systems Engineering (PSE) community1 Optimal Scheduling of Continuous Plants with Energy Constraints Pedro M. Castro,*,, , Iiro

  18. Three NASA Application Domains for Integrated Planning, Scheduling and Execution

    E-Print Network [OSTI]

    Kortenkamp, David

    Three NASA Application Domains for Integrated Planning, Scheduling and Execution David Kortenkamp. NASA Johnson Space Center { ER2 Houston, TX 77058 kortenkamp@jsc.nasa.gov Abstract This paper describes three application domains for in- tegrating planning, scheduling and execution at NASA Johnson Space

  19. Software Pipelining: An Effective Scheduling Technique for VLIW Machines

    E-Print Network [OSTI]

    Lam, Monica

    Software Pipelining: An Effective Scheduling Technique for VLIW Machines Monica Lam Department that software pipelining is an effective and viable scheduling technique for VLIW processors. In software pipelining, iterations of a loop in the sourceprogram are continuously initiated at constant intervals

  20. 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

  1. Short-Term Operation Scheduling in Renewable-Powered Microgrids

    E-Print Network [OSTI]

    Bornemann, Jens

    Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach Binyan scheduling prob- lem in renewable-powered microgrids, which is used to determine the least-cost unit- ments. The intermittency nature of the renewable energy sources, as well as microgrid's capacity

  2. The Charging-Scheduling Problem for Electric Vehicle Networks

    E-Print Network [OSTI]

    method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling (EVCS the classic greedy nearest scheduling algorithm: assign each EV to its nearest charging station, then choose]. The capacity of EV battery is limited, which requires frequent charging. EV battery swapping is well known

  3. Integrating Planning and Scheduling A. Garrido, F. Barber

    E-Print Network [OSTI]

    Barber, Federico

    Integrating Planning and Scheduling A. Garrido, F. Barber {agarridot, fbarber}@dsic.upv.es Dpto (Spain) Abbreviated title: Integrating Planning and Scheduling January 10, 2001 Abstract Planning advances in planning systems, they have not seen the same advances in the methods of solving planning

  4. Mechanism design for fractional scheduling on unrelated George Christodoulou

    E-Print Network [OSTI]

    Koutsoupias, Elias

    Mechanism design for fractional scheduling on unrelated machines George Christodoulou Elias and randomized approximation algorithms. The mechanism design version of the scheduling problem was introduced by Nisan and Ronen [23]. In this paper1 , we consider the mechanism design version of the fractional

  5. Note: Instructions for Completing in [Italics] SCHEDULE OF PROJECT DETAILS

    E-Print Network [OSTI]

    Kamat, Vineet R.

    ] ___________________________________________________________________________________ Design Professional - Schedule of Project Details Page 1 of 6 Form Date: CM January 2015 #12;The Basic-consultants that are included in the Basic Services are as follows: Firm Name Type of Architect/Engineer 5. ReimbursableNote: Instructions for Completing in [Italics] SCHEDULE OF PROJECT DETAILS for the Agreement

  6. Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

    E-Print Network [OSTI]

    Karakostas, George

    of scheduling for energy efficient road-side infrastructure. In certain scenarios, vehicle locations can be predicted with a high degree of accuracy, and this information can be used to reduce downlink infrastructure-to-vehicle energy communication costs. The paper first presents off-line scheduling results which provide lower

  7. Efficient Scheduling of Task Graph Collections on Heterogeneous Resources

    E-Print Network [OSTI]

    Vivien, Frdric

    laboratory, UMR 5668, ENS Lyon CNRS INRIA UCBL, Lyon, France {matthieu of a classical scheduling policy in Grids, HEFT. The results show that some of our static-scheduling policies of resources. These applications come from domains such as high-energy physics [8], bioinformat- ics [21

  8. 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

  9. PROCESS SPECIFICATION LANGUAGE FOR PROJECT SCHEDULING INFORMATION EXCHANGE

    E-Print Network [OSTI]

    Stanford University

    of Standards and Technology (NIST) and is emerging as a standard exchange language for process information in the manufacturing industry. This paper explores how PSL can be used for exchanging project scheduling informationPROCESS SPECIFICATION LANGUAGE FOR PROJECT SCHEDULING INFORMATION EXCHANGE Jinxing Cheng1 , Michael

  10. 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

  11. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    premature aging and failure of generators leading to unplanned and costly power outages, it is important separately to reduce the manpower requirement. The maintenance scheduling of generators in power systems of these function adversely20 . In traditional power systems, the maintenance scheduling of generator units

  12. 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

  13. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

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

    2013-03-29

    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.

  14. H Line ScheduleParking & Transportation

    E-Print Network [OSTI]

    California at Berkeley, University of

    :02pm Strawberry Canyon Recreational Area Strawberry Canyon Recreational Area 7:47am 8:17am 8:47am 9:01pm 5:31pm 6:01pm 6:31pm 7:21pm Strawberry Canyon Recreational Area Strawberry Canyon Recreational

  15. EVMS Training Snippet: 5.3 PARSII Analysis: Schedule Health Assessment...

    Energy Savers [EERE]

    5.3 PARSII Analysis: Schedule Health Assessment EVMS Training Snippet: 5.3 PARSII Analysis: Schedule Health Assessment This EVMS Training Snippet, sponsored by the Office of...

  16. NCRAWL: Network Coding for Rate Adaptive Wireless Links

    E-Print Network [OSTI]

    Broustis, Ioannis; Syrivelis, Dimitris; Georgiadis, Leonidas; Tassiulas, Leandros

    2011-01-01

    Intersession network coding (NC) can provide significant performance benefits via mixing packets at wireless routers; these benefits are especially pronounced when NC is applied in conjunction with intelligent link scheduling. NC however imposes certain processing operations, such as encoding, decoding, copying and storage. When not utilized carefully, all these operations can induce tremendous processing overheads in practical, wireless, multi-rate settings. Our measurements with prior NC implementations suggest that such processing operations severely degrade the router throughput, especially at high bit rates. Motivated by this, we design {\\bf NCRAWL}, a Network Coding framework for Rate Adaptive Wireless Links. The design of NCRAWL facilitates low overhead NC functionalities, thereby effectively approaching the theoretically expected capacity benefits of joint NC and scheduling. We implement and evaluate NCRAWL on a wireless testbed. Our experiments demonstrate that NCRAWL meets the theoretical predicted ...

  17. TRU Waste Management Program. Cost/schedule optimization analysis

    SciTech Connect (OSTI)

    Detamore, J.A.; Raudenbush, M.H.; Wolaver, R.W.; Hastings, G.A.

    1985-10-01

    This Current Year Work Plan presents in detail a description of the activities to be performed by the Joint Integration Office Rockwell International (JIO/RI) during FY86. It breaks down the activities into two major work areas: Program Management and Program Analysis. Program Management is performed by the JIO/RI by providing technical planning and guidance for the development of advanced TRU waste management capabilities. This includes equipment/facility design, engineering, construction, and operations. These functions are integrated to allow transition from interim storage to final disposition. JIO/RI tasks include program requirements identification, long-range technical planning, budget development, program planning document preparation, task guidance development, task monitoring, task progress information gathering and reporting to DOE, interfacing with other agencies and DOE lead programs, integrating public involvement with program efforts, and preparation of reports for DOE detailing program status. Program Analysis is performed by the JIO/RI to support identification and assessment of alternatives, and development of long-term TRU waste program capabilities. These analyses include short-term analyses in response to DOE information requests, along with performing an RH Cost/Schedule Optimization report. Systems models will be developed, updated, and upgraded as needed to enhance JIO/RI's capability to evaluate the adequacy of program efforts in various fields. A TRU program data base will be maintained and updated to provide DOE with timely responses to inventory related questions.

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

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2008-01-01

    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.

  19. Geothermal resource area 9: Nye County. Area development plan

    SciTech Connect (OSTI)

    Pugsley, M.

    1981-01-01

    Geothermal Resource area 9 encompasses all of Nye County, Nevada. Within this area there are many different known geothermal sites ranging in temperature from 70/sup 0/ to over 265/sup 0/ F. Fifteen of the more major sites have been selected for evaluation in this Area Development Plan. Various potential uses of the energy found at each of the resource sites discussed in this Area Development Plan were determined after evaluating the area's physical characteristics, land ownership and land use patterns, existing population and projected growth rates, and transportation facilities, and comparing those with the site specific resource characteristics. The uses considered were divided into five main categories: electrical generation, space heating, recreation, industrial process heat, and agriculture. Within two of these categories certain subdivisions were considered separately. The findings about each of the 15 geothermal sites considered in this Area Development Plan are summarized.

  20. 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

  1. Energy E#cient Online Deadline Scheduling HoLeung Chan # WunTat Chan + TakWah Lam # LapKei Lee # KinSum Mak #

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    that can vary its speed between 0 and a maximum speed T to minimize its energy usage (of which the rate to maximize the throughput, and fur thermore, its energy usage should be the smallest among all schedules of selecting more jobs and being conservative in energy usage. Even if we ignore energy usage, the best

  2. CP Based Tool for Tightening the MILP Relaxation of a Crude-Oil Operations Scheduling MINLP

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    CP Based Tool for Tightening the MILP Relaxation of a Crude-Oil Operations Scheduling MINLP Sylvain;Introduction Goals Optimize the schedule of operations for the crude-oil unloading and blending problem using the MILP relaxation of the MINLP 1 / 14 #12;Crude-oil operations scheduling problem Scheduling horizon [0

  3. A Symmetry-Breaking Tool for the Optimization of Crude-Oil Operations Scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A Symmetry-Breaking Tool for the Optimization of Crude-Oil Operations Scheduling Sylvain Mouret the schedule of operations for the crude-oil unloading and blending problem using a continuous and Mann (2003) #12;Crude-oil operations scheduling problem Scheduling horizon [0, H] 4 types of resources

  4. Predictive Scheduling for Spatial-dependent Tasks in Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    --Vehicle scheduling, spatial dependency, wireless charging I. INTRODUCTION Sensor networks are deployed for various

  5. Scheduling Space-Sharing for Internet Advertising Micah Adler Phillip B. Gibbonsy Yossi Matiasz

    E-Print Network [OSTI]

    Matias, Yossi

    Scheduling Space-Sharing for Internet Advertising Micah Adler Phillip B. Gibbonsy Yossi Matiasz in the scheduling of space-sharing for Internet advertising. We consider the scheduling problem where each advertisement is speci ed by a geometry and a display frequency. Given a set of ads, a schedule of the ads speci

  6. Libra: An Economy-Driven Job Scheduling System for Jahanzeb Sherwani, Nosheen Ali,

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Libra: An Economy-Driven Job Scheduling System for Clusters Jahanzeb Sherwani, Nosheen Ali computational economy driven scheduling system called Libra, which has been designed to support allocation scheduler to the PBS (Portable Batch System) system. The scheduler offers market-based economy driven

  7. Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness

    E-Print Network [OSTI]

    Yuan, Xin

    Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness Xin, proportional fairness, worst-case fairness, round robin scheduler 1 Introduction An ideal packet scheduler to evaluate packet schedulers, the proportional fairness that was defined by Golestani in [6] and the worst

  8. Efficient algorithms for a scheduling problem and its applications to illicit drug market crackdowns

    E-Print Network [OSTI]

    Krovi, Venkat

    scheduling problem. By duality we transform a special case of the drug market crackdown scheduling problemEfficient algorithms for a scheduling problem and its applications to illicit drug market for the general case of the drug market crackdown scheduling problem with monomial cost functions. key words: job

  9. 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

    2011-07-12

    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.

  10. Taxiway Aircraft Traffic Scheduling: A Model and Solution Algorithms

    E-Print Network [OSTI]

    Tian, Chunyu

    2012-10-19

    With the drastic increase in the demand for air travel, taxiway aircraft traffic scheduling is becoming increasingly important in managing air traffic. In order to reduce traffic congestion on taxiways, this thesis proposes ...

  11. Dynamic scheduling of manufacturing systems with setups and random disruptions

    E-Print Network [OSTI]

    Tubilla Kuri, Fernando

    2011-01-01

    Manufacturing systems are often composed of machines that can produce a variety of items but that most undergo time-consuming (and possibly costly) setups when switching between product types. Scheduling these setups ...

  12. BE511 Class Syllabus and Schedule -Spring, 2015 Biomedical Instrumentation

    E-Print Network [OSTI]

    Vajda, Sandor

    BE511 Class Syllabus and Schedule - Spring, 2015 Biomedical Instrumentation Instructor: Prof and pdf's posted throughout the semester References: 1. Medical Instrumentation: Application and Design Engineering) Course Description: This course is an introduction to biomedical instrument design. We

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

    E-Print Network [OSTI]

    Rabie, Arwa H.

    2010-01-14

    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...

  14. Planning and scheduling proximity operations for autonomous orbital rendezvous

    E-Print Network [OSTI]

    Guerra, Christopher J., 1978-

    2003-01-01

    This thesis develops a mixed integer programming formulation to solve the proximity operations scheduling problem for autonomous orbital rendezvous. The algorithm of this thesis allows the operator to specify planned modes, ...

  15. Drugs CSA Schedules Medical Uses Physical Usual Method Possible Effects

    E-Print Network [OSTI]

    Subramanian, Venkat

    Drugs CSA Schedules Medical Uses Physical Psycho- logical Toleranc e Duration (Hours) Usual Method Hashish and Hashish Oil Substance I Hash, Hash oil None Unknown Moderate Yes 2-4 Smoked, oral Anabolic

  16. L-?Functions and Trace Formula Workshop Schedule

    E-Print Network [OSTI]

    2015-05-11

    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:.

  17. Trident schedule FY16 -- rev 11-10-15.xlsx

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

    Schedule FY 2015-16 11102015 28-Sep Material dynamics (gas gun) Loomis na 4 5-Oct 4 12-Oct 3 19-Oct maintenance 4 26-Oct AWE -- DTRA Davis - Sibley South ns 4 2-Nov...

  18. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

    Office of Environmental Management (EM)

    Supplement 3, January and February 2006 Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 3, January and February 2006 Docket No. EO-05-01: Exhibit D: Mirant...

  19. A computer algorithm to optimize the scheduling of strategic sealift

    E-Print Network [OSTI]

    Lambert, Garrett Randall

    1995-01-01

    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 ...

  20. UNIVERSITY OF Department of Chemical Engineering Seminar Schedule: Fall 2013

    E-Print Network [OSTI]

    Zapletal, Jindrich

    UNIVERSITY OF FLORIDA Department of Chemical Engineering Seminar Schedule: Fall 2013 26 August Mr (Host: ) Dept. of Chemical Engineering, University of Florida "Spatial-Temporal Instability (Host: Butler) Dept. Chemical & Biomolecular Engineering, University of Illinois "New Frontiers

  1. 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

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

    E-Print Network [OSTI]

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

    2013-01-01

    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 ...

  3. 21th International Conference on Automated Planning and Scheduling

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    for Human & Machine Cognition (IHMC) IBM Research Institute for Computational Sustainability (ICS) National The "DUKC Optimiser" Ship Scheduling System / 42 Elena Kelareva WindMT: An integrated system for failure

  4. On attractant scheduling in networks based on bacterial communication

    E-Print Network [OSTI]

    Sivakumar, Raghupathy

    On attractant scheduling in networks based on bacterial communication Yunlong Gao Shanghai Jiaotong on bacterial communication. Bacterial communication is a communication paradigm between biological cells which using chemical attractants. Although bacterial communication occurs in nature, engineering

  5. Comparison of Scheduling Policies by Simulation Omar Gzouli

    E-Print Network [OSTI]

    Gershwin, Stanley B.

    by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cynthia Barnhart Co-Director, Operations Research Center #12; Comparison of Scheduling Policies friends: Fernand for the many tennis matches that we played, and that helped me stay #12;t through

  6. Lab Ahead of Schedule Processing Waste in Large Boxes

    Broader source: Energy.gov [DOE]

    LOS ALAMOS, N.M. The TRU Waste Program at Los Alamos National Laboratory is currently two months ahead of schedule processing and repackaging waste stored in large fiberglass-reinforced boxes (FRPs).

  7. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid

    E-Print Network [OSTI]

    Mangasarian, Olvi L.

    , in the petroleum sector, scheduling problems arise in the transportation and unloading of crude oil from pipelines, the transfer to storage tanks and the charge for each crude oil distillation unit. In basic chemical

  8. 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 ...

  9. Proportional Differentiated Services: Delay Differentiation and Packet Scheduling

    E-Print Network [OSTI]

    Dovrolis, Constantinos

    Proportional Differentiated Services: Delay Differentiation and Packet Scheduling Constantinos propose the proportional differ­ entiation model as a way to refine and quantify this basic premise of relative differentiated services. The proportional differentiation model aims to provide the network

  10. BE511 Class Syllabus and Schedule -Spring, 2013 Biomedical Instrumentation

    E-Print Network [OSTI]

    Vajda, Sandor

    signals, biomedical sensors, analog signal amplification and filters, digital acquisition, digital, digital signal processing, #12;and instrument programming. Students will design, build, and characterizeBE511 Class Syllabus and Schedule - Spring, 2013 Biomedical Instrumentation Instructor: Prof

  11. Flow Shop Scheduling with Peak Power Consumption Constraints

    E-Print Network [OSTI]

    2012-09-23

    voltages to produce a preemptive task schedule that minimizes total energy ... since it affects the power supply and cooling technologies in the design of ...... The primary role of the two heuristic algorithms described above in our study is to

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

    E-Print Network [OSTI]

    Devilyna L Nichols

    2007-11-14

    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

  13. Scheduling screening inspections for replaceable and non-replaceable systems

    E-Print Network [OSTI]

    Aral, Bahadir

    2009-05-15

    This dissertation focuses on developing inspection schedules to detect non-self- announcing events which can only detected by inspections. Failures of protective sys- tems ,such as electronic equipments, alarms and stand-by systems, incipient...

  14. Towards Energy Aware Scheduling for Precedence Constrained Parallel

    E-Print Network [OSTI]

    Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks: Jong Youl Cho Community Grids Lab, Indian University #12;Outlook Background;Energy model #12;Cluster model #12;Job model DAG model: T= (J, E) #12;Job

  15. Computerized schedule construction for an airbus transportation system

    E-Print Network [OSTI]

    Simpson, R. W.

    1966-01-01

    As part of a continuing study of the application of V/STOL aircraft to the transportation problems of the Northeast Corridor, the U.S. Department of Commerce has requested that detailed data be developed on schedules, ...

  16. Dynamic rate-control and scheduling algorithms for quality-of-service in wireless networks

    E-Print Network [OSTI]

    Zafer, Murtaza Abbasali, 1979-

    2007-01-01

    Rapid growth of the Internet and multimedia applications, combined with an increasingly ubiquitous deployment of wireless systems, has created a huge demand for providing enhanced data services over wireless networks. ...

  17. A Power Efficient Scheduling Mechanism for an IEEE 802.11 Multiple Rate Ad Hoc Network

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    that of 802.11 PSM. Keywords: Ad Hoc Network, DCF, 802.11 PSM, Beacon Interval, and ATIM Window 1 Introduction Mechanism (802.11 PSM) that allows a wireless STA to go from the active state to doze or power-saving state

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

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

    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 customers. Southeastern...

  19. 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

  20. BP-16-A-02-AP02, Appendix B - 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O DBiomassBudget BasicDeliveringOverview:default Sign In8,

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec.12 13Cubic235

  2. SCE&G-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 on Delicious Rank EERE:Financing Tool FitsProjectData Dashboard Rutland County Data Dashboard The

  3. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url Jump to: navigation,News/Link JumpLocality Jump

  4. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url Jump to: navigation,News/Link JumpLocality

  5. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url Jump to: navigation,News/Link JumpLocalityEndDate Jump

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report Url Jump to: navigation,News/Link JumpLocalityEndDate

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)ContractorsCNGFact S heet: Collaboration

  8. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)ContractorsCNGFact S heet:

  9. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)ContractorsCNGFact S heet:between the

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l DeInsulation at04-86)ContractorsCNGFact S heet:between theCarolina

  11. SCE&G-3-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A WholesaleRetrofitElectricalDepartment2-E Wholesale Power

  12. SCE&G-4-E Wholesale Power Rate Schedule | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterestedReplacement-2-A WholesaleRetrofitElectricalDepartment2-E Wholesale Power4-E

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves AdjustmentsDecade Year-0 Year-1 Year-21440Z

  14. 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: A multi­stage stochastic pro­ gramming model for power scheduling un­ der uncertainty in a generation system comprising thermal and pumped­storage hydro units is developed. For its compu­ tational solution

  15. Chlorite Dissolution Rates

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

    Carroll, Susan

    2013-07-01

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

  16. 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.

  17. Level schedule implementation in unstable manufacturing environments

    E-Print Network [OSTI]

    Lpez de Haro, Santiago

    2008-01-01

    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, ...

  18. GLAST Large Area Telescope Multiwavelength Planning

    E-Print Network [OSTI]

    O. Reimer; P. F. Michelson; R. A. Cameron; S. W. Digel; D. J. Thompson; K. S. Wood

    2006-11-21

    Gamma-ray astrophysics depends in many ways on multiwavelength studies. The Gamma-ray Large Area Space Telescope (GLAST) Large Area Telescope (LAT) Collaboration has started multiwavelength planning well before the scheduled 2007 launch of the observatory. Some of the high-priority multiwavelength needs include: (1) availability of contemporaneous radio and X-ray timing of pulsars; (2) expansion of blazar catalogs, including redshift measurements; (3) improved observations of molecular clouds, especially at high galactic latitudes; (4) simultaneous broad-band blazar monitoring; (5) characterization of gamma-ray transients, including gamma ray bursts; (6) radio, optical, X-ray and TeV counterpart searches for reliable and effective sources identification and characterization. Several of these activities are needed to be in place before launch.

  19. 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.

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

    SciTech Connect (OSTI)

    Nurre, Sarah G.; Carlson, Jeffrey J.

    2014-01-01

    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.

  1. 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

  2. 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...

  3. 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

    2013-05-23

    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.

  4. Area Activation 1 Running Head: AREA ACTIVATION

    E-Print Network [OSTI]

    Pomplun, Marc

    Area Activation 1 Running Head: AREA ACTIVATION Advancing Area Activation towards a General Model at Boston 100 Morrissey Boulevard Boston, MA 02125-3393 USA Phone: 617-287-6485 Fax: 617-287-6433 e. Without great effort, human observers clearly outperform every current artificial vision system in tasks

  5. Integrated System Transmission and Ancillary Services Rate Calculation

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

    Western Area Power Administration Basin Electric Power Cooperative Heartland Consumers Power District 1 Integrated System Transmission and Ancillary Services Rate Calculation...

  6. Integrated System Transmission and Ancillary Services Rate Calculation

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

    System Transmission and Ancillary Services 2013 Rate True-up Calculation Western Area Power Administration Basin Electric Power Cooperative Heartland Consumers Power District 1...

  7. Research Support in Hungary Machine scheduling LED public lighting Microsimulation in public transportation Finally Optimization and Operation Research methods for

    E-Print Network [OSTI]

    Balzs, Bnhelyi

    Research Support in Hungary Machine scheduling LED public lighting Microsimulation in public Innovation Problems #12;Research Support in Hungary Machine scheduling LED public lighting Microsimulation in Hungary Machine scheduling LED public lighting Microsimulation in public transportation Finally The word

  8. Heat Transfer Modeling and Use of Distributed Temperature Measurements to Predict Rate

    E-Print Network [OSTI]

    Hashmi, Gibran Mushtaq

    2014-07-08

    in the literature. The steady-state model is used where the fluid flow is essentially steady and any change in rate is followed by a sufficiently long steady schedule. The transient model is used where the well is still flowing in the initial stages or fluctuations...

  9. Proportional Fairness in Multi-rate Wireless LANs Li (Erran) Li

    E-Print Network [OSTI]

    Li, Li Erran

    Proportional Fairness in Multi-rate Wireless LANs Li (Erran) Li Martin Pal ¡ Yang Richard Yang throughput while serving users in a fair manner, proportional fair or time-based fair scheduling has been consist of a network of APs, this paper considers proportional fairness in this much wider setting. Our

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

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    price of electric vehicle electricity exchange at home, $/kWh marginal carboncarbon emissions rate from generation technology j, kg/kWh price

  11. Radiation Worker II Class Scheduled for Aug. 20; Sign up by Aug...

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

    Radiation Worker II Class Scheduled for Aug. 20; Sign up by Aug. 19 A Radiation Worker II (SAF802) class is scheduled for Thursday, Aug. 20, from 9 a.m. - 12 noon. The class will...

  12. MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES by ANDREW S, Humans and Automation Laboratory Certified by;3 MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES by Andrew S. Clare

  13. Implementation of scheduling agents for the R-shell real-time environment

    E-Print Network [OSTI]

    Herdejurgen, Michael Seann

    1993-01-01

    resource guarantee, the scheduling agent must ensure that the resource requirements are no( exceeded. If any requirement, such as CPU time or memory used, is exceeded, then the procedure is aborted. In order to abort a procedure, the scheduling agent...

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

    E-Print Network [OSTI]

    Miller-Karns, Kara A.

    2009-05-15

    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. Developing a standard...

  15. 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

  16. An empirical study of planning and scheduling interactions in the road passenger transportation domain

    E-Print Network [OSTI]

    Qu, Rong

    An empirical study of planning and scheduling interactions in the road passenger transportation between planning and scheduling in a specific scenario, road pas- senger transportation. The problem (what planning analyzes). The relative change consists of slightingly decreasing the energy level

  17. Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task 2 Report

    SciTech Connect (OSTI)

    Lu, Shuai; Makarov, Yuri V.; McKinstry, Craig A.; Brothers, Alan J.; Jin, Shuangshuang

    2009-09-18

    Task report detailing low probability tail event analysis and mitigation in BPA control area. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, causing the imbalance between generation and load to become very significant.

  18. CENTRE FOR TECHNOLOGY ALTERNATIVES FOR RURAL AREAS INDIAN INSTITUTE OF TECHNOLOGY, BOMBAY

    E-Print Network [OSTI]

    Sohoni, Milind

    , and schedules of costs our finding is that it economically viable to supply water in pipes from Pej River to the target area at the desirable livelihood norm of 200 lpcd. We estimate the investment cost of this supply system to be around Rs. 7000 per capita at 200 lpcd and Rs. 2100 per capita at 40 lpcd. Keywords Piped

  19. An Investigation of Feedback Guided Dynamic Scheduling of Nested Loops D. J. Hancock

    E-Print Network [OSTI]

    Bull, Mark

    algorithms are based on guided selfscheduling (Polychronopoulos and Kuck [12]) or some variant thereof (see

  20. 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:...

  1. Nonmigratory Multiprocessor Scheduling for Response Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    , Isaac K. K. To, and Prudence W. H. Wong Abstract---Energy usage has been an important concern in recent technology to reduce energy usage is dynamic speed scaling (see, e.g., [10], [21], [34]), where the processor to revisiting classical scheduling problems with dynamic speed scaling and energy usage taken into consideration

  2. Computing Nash Equilibria for Scheduling on Restricted Parallel Links

    E-Print Network [OSTI]

    Mavronicolas, Marios

    Computing Nash Equilibria for Scheduling on Restricted Parallel Links Martin Gairing Thomas L of assigning n jobs to m parallel machines. In a pure Nash equilibrium, no user may im- prove its own main result, we introduce a polynomial time algorithm to compute from any given assignment a pure Nash

  3. Planning and scheduling of PPG glass production, model and implementation.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    considering waste glass management x Synchronization of the production and consumption of waste glass with 2Planning and scheduling of PPG glass production, model and implementation. Ricardo Lima Ignacio of the glass production x Capture the essence of the process that is not considered in the Master Production

  4. Fine-Grained Multi-Resource Scheduling in Cloud Datacenters

    E-Print Network [OSTI]

    Fu, Xiaoming

    Fine-Grained Multi-Resource Scheduling in Cloud Datacenters Yuan Zhang University of G--Cloud datacenters typically require tenants to spec- ify the resource demands for the virtual machines (VMs. Unfortunately, this leads to low resource utilization of cloud datacenters as tenants are obligated

  5. Tenure and Reappointment Schedule for tenure track Instructor I

    E-Print Network [OSTI]

    Pulfrey, David L.

    , 1st reappointment for 2 years Year 3 Year 4 Review for reappointment; if successful review, 2nd Reappointment July 1, [Year 3] to June 30, [Year 4] 2nd Reappointment Review [Year 4] 2nd Reappointment July 1Tenure and Reappointment Schedule for tenure track Instructor I Faculty Relations July 2011 Year 1

  6. DECISION SUPPORT TOOL FOR DYNAMIC WORKFORCE SCHEDULING IN MANUFACTURING ENVIRONMENTS

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    number of factors such as part availability, production cost, space constraints and labor supply must and scheduling assignments. Another factor that was stressed was the inclusion of ergonomic risk. Worker-task assignments that do not take into account ergonomic risk exposure can lead to repetitive stress injuries over

  7. Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    to gather sensor measurements for the purposes of control, network energy usage must be incorporated have limitations on bandwidth, energy con- sumption, and transmission range. This paper introduces schedule such that the desired performance is achieved while minimizing the energy required to perform data

  8. Supplemental Schedules For the Year Ended June 30, 2013

    E-Print Network [OSTI]

    Stuart, Steven J.

    . This project for the school of architecture is one of the most striking and energy efficient buildings that illuminate the interior space. #12;~ 1 ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental,740,304 Fund balance 46,958,311 Total 109,289,259 Total 109,289,259 Public Service Activities: Public Service

  9. Energy-Aware Meeting Scheduling Algorithms for Smart Buildings

    E-Print Network [OSTI]

    Albonesi, David H.

    ; Build- ing energy efficiency 1 Introduction The energy consumption of commercial buildings is of growingEnergy-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

  10. 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

  11. FIFO Based Multicast Scheduling Algorithm for VOQ Packet Switches

    E-Print Network [OSTI]

    Pan, Deng

    FIFO Based Multicast Scheduling Algorithm for VOQ Packet Switches Deng Pan and Yuanyuan Yang Abstract--Many networking/computing applications require high speed switching for multicast traffic at the switch/router level to save network bandwidth. However, existing queueing based packet switches

  12. Stability Region of Opportunistic Scheduling in Wireless Networks

    E-Print Network [OSTI]

    Cai, Lin

    be stabilized. Detailed numerical examples and simulations are given to illustrate the stability region-based scheduling in [3] which aims to maximize a pre-defined utility based on the long-term achievable throughput here is because, without considering the stochastic characteristic of incoming traffic, although

  13. Schedulability of Herschel-Planck Revisited Using Statistical Model Checking

    E-Print Network [OSTI]

    David, Alexandre

    when the system is schedulable. The methods are demonstrated on a complex satellite software system yielding new insights useful for the company. 1 Introduction Embedded systems involve the monitoring in a resource constrained manner in terms of for example memory, processing power, band- width, energy

  14. 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

  15. 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 management in smart grid. Consumers send in power requests with a flexible set of timeslots during which arising in "demand response manage- ment" in smart grid [7, 9, 18]. The electrical smart grid is one

  16. 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 Gurin (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

  17. Advanced Reservation-based Scheduling of Task Graphs on Clusters

    E-Print Network [OSTI]

    Buyya, Rajkumar

    , in order to solve the above problems, we propose a scheduling approach for TGs by using advance reservation by interweaving one or more TGs within the same reservation block and/or backfilling with independent jobs. 1 [1]. Thus, to run these TGs, we need a target system that is tightly coupled by fast interconnection

  18. Risk-based integrated production scheduling and electricity procurement for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    good solutions. Keywords: Production scheduling, electricity procurement, demand response, stochastic in electricity demand and increasing penetration of intermittent renewable energy into the electricity supply mix, it is becoming increasingly difficult to match electricity demand and supply in the power grid (Hand et al., 2012

  19. CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers

    E-Print Network [OSTI]

    Sun, Xian-He

    Xian-He Sun Department of Computer Science Illinois Institute of Technology, Chicago, IL 60616, USA {eolmedo, sbyna, sun}@iit.edu Abstract Memory controller scheduling is crucial in multicore processors the computing power these processors offer. However, current multicore processors are using traditional memory

  20. Understanding Process Plant Schedule Slippage and Startup Costs

    Office of Energy Efficiency and Renewable Energy (EERE)

    This study explores major factors causing schedule delays and problems often experienced in constructing and starting up new process plants. The results of this research provide new insights into the problems firms across the process industries encounter in planning major plant developments.

  1. 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

  2. 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

  3. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Maintenance Scheduling of a Gas Engine Power Plant Pedro M. Castro Ignacio E. Grossmann MILP starting from GDP model September 4-5 2EWO Fall Meeting 2013 Problem statement Gas Engine Power Plant Project in Sasolburg (SGEPP) 18 identical gas engines consuming natural gas & producing

  4. Optimal Maintenance Scheduling of a Power Plant with Seasonal

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    hours for periods with high electricity tariff Sasolburg Gas Engine Power Plant 18 Wrtsila 34 SG statement Gas engine power plant 18 identical engines with generation capacity = 10 MW Only 1Optimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro

  5. Solving Parallel Machine Scheduling Problems by Column Generation

    E-Print Network [OSTI]

    Powell, Warren B.

    and bound #12;1 Introduction We consider a class of problems of scheduling n independent jobs N = f1;2;:::;ng on m identical, uniform, or unrelated parallel machines M = f1;2;:::;mg with an objective of Systems Engineering University of Pennsylvania Philadelphia, PA 19104-6315 Warren B. Powell Department

  6. Software Requirements Specification of A University Class Scheduler

    E-Print Network [OSTI]

    Needell, Deanna

    tool, requirements specification, use cases, scenarios, class diagram, UML. 1 Introduction of this project has been on academic scheduling for universities, yet due to its flexible design the UCS can of entering large amounts of data. There are rather few similar products currently on the market, for instance

  7. Towards Thermal Aware Workload Scheduling in a Data Center

    E-Print Network [OSTI]

    Towards Thermal Aware Workload Scheduling in a Data Center Lizhe Wang, Gregor von Laszewski, Jai for data centers, however, the heat dissipation density of data cen- ters increases exponentially. There is strong evidence to support that high temperatures of such data centers will lead to higher hardware

  8. Delay Optimal Scheduling for Energy Harvesting Based Communications

    E-Print Network [OSTI]

    Dai, Huaiyu

    1 Delay Optimal Scheduling for Energy Harvesting Based Communications Juan Liu, Huaiyu Dai, Senior research interest recently. Equipped with a rechargeable battery, a source node can harvest energy from ambient environments and rely on this free and regenerative energy supply to transmit packets. Due

  9. Multicore scheduling in automotive ECUs Aurlien Monot1,2

    E-Print Network [OSTI]

    Navet, Nicolas

    , multicore ECUs are be- ing gradually introduced in the automotive domain. Those multicore platforms offerMulticore scheduling in automotive ECUs Aurlien Monot1,2 , Nicolas Navet3 , Franoise Simonot1 power is quickly increasing in the automotive domain, car manufactur- ers and tier-one suppliers

  10. 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

  11. 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

  12. Efficient Encoding Schedules for XOR-based Erasure Codes

    E-Print Network [OSTI]

    Xu, Lihao

    , and James S. Plank Abstract--In data storage systems, it is crucial to protect data from loss due that XOR-scheduling has great potential to have wide impact in practical storage systems. Index Terms--Erasure correcting codes, storage systems 3 1 INTRODUCTION AS the amount of data increases exponentially in large

  13. Medium Term Planning & Scheduling under Uncertainty for BP Chemicals

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Results & Future Research #12;5 By Products Benzene: Used elsewhere by other BP companies. Styrene can1 Medium Term Planning & Scheduling under Uncertainty for BP Chemicals Progress Report Murat Kurt Products & Applications Models Results & Future Research #12;4 Products - PTA Purified Terephthalic Acid

  14. SALARY PAYMENT SCHEDULE FOR ENROLLING IN 9 OVER 12

    E-Print Network [OSTI]

    Minnesota, University of

    SALARY PAYMENT SCHEDULE FOR ENROLLING IN 9 OVER 12 MEMORANDUM OF AGREEMENT FISCAL YEAR ________________ By signing this agreement, I authorize the University of Minnesota to initiate paying my base salary over 12 year of my salary overpayment that may exist. _____ Stop my 9 over 12 option. By checking this, I

  15. Computing Schedules for Time-Triggered Control using Genetic Algorithms

    E-Print Network [OSTI]

    Fainekos, Georgios E.

    (Astrom and Wittenmark (1997)) has traditionally focused on the design and analysis of computer control for embedded control systems. Given a number of numerical computation tasks that must be executed search. Keywords: Scheduling; Digital control; Genetic algorithms; 1. INTRODUCTION Digital control theory

  16. Unrelated parallel machine scheduling with resource dependent processing times

    E-Print Network [OSTI]

    Sviridenko, Maxim

    machine- dependence, the processing time of any job is also dependent on the usage of a scarce renewable lying in the fact the resource is renewable and not a total budget con- straint. We use a two-phased LP be adapted to scheduling problems with ded- icated machines as well, with an improvement of the performance

  17. Integrated schedule planning with supply-demand interactions

    E-Print Network [OSTI]

    Bierlaire, Michel

    as well as other operations including the crew scheduling and recovery operations. Maintenance. According to the statistics provided by the Association of European Airlines (AEA), air travel traffic has is expected to be doubled compared to 1997. This increase results with disruptions in the operations. To give

  18. Low Power Round-Robin Scheduling Raul Brito -Nicolas Navet

    E-Print Network [OSTI]

    Navet, Nicolas

    addressed here is to minimize the energy consumption of a set of jobs scheduled under the RR policy while Scientifique - BP 236 54506 Vandoeuvre-ls-Nancy - France Raul.Brito@loria.fr - Nicolas.Navet@loria.fr Abstract Energy consumption is becoming a crucial issue in the design of digital systems especially when

  19. Energy-Efficient Scheduling of HPC Applications in Cloud Computing

    E-Print Network [OSTI]

    Buyya, Rajkumar

    are essentially data centers which require high energy 2 usage to maintain operation [4]. Today, a typical data center with 1000 racks need 10 Megawatt of power to operate [5]. High energy usage is undesirable sinceEnergy-Efficient Scheduling of HPC Applications in Cloud Computing Environments Saurabh Kumar Garg

  20. Deadline Scheduling and Power Management for Speed Bounded Processors

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    deadline scheduling on a processor that can manage its energy usage by scaling the speed dynamically be scaled arbitrarily high (the infinite speed model), SOA can complete all jobs with reduced energy usage,15,23,24] enables a processor to vary the speed dynamically. Running a job slower reduces energy usage, but it takes

  1. Evolutionary Approach for Multi-Objective Scheduling in Surgical Unit

    E-Print Network [OSTI]

    Paris-Sud XI, Universit 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 "Confrence Francophone Gestion et Ingnierie des Systmes Hospitaliers (GISEH 2012), Quebec

  2. 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

  3. Methods for Optimal Pedestrian Task Scheduling and Routing Srihari Narasimhan

    E-Print Network [OSTI]

    Qu, Rong

    Methods for Optimal Pedestrian Task Scheduling and Routing Srihari Narasimhan IPVS, Universit to monitor the movement and behavior of pedestrians, especially where there are a huge number of visitors the pedestrian be- havior. As a result, the congestions as well as the queue sizes at different times can

  4. Scheduling Techniques for Hybrid Circuit/Packet Networks

    E-Print Network [OSTI]

    Zwicker, Matthias

    Carnegie Mellon University Intel Labs Google, Inc. ABSTRACT A range of new datacenter switch designs the hybrid switching problem, explore the design space of scheduling algorithms, and provide insight on using, power, and cabling. Packet switches are flexible, capable of making forwarding decisions

  5. An Evaluation of Sequencing Heuristics for Flexible Flowshop Scheduling Problems

    E-Print Network [OSTI]

    Magdeburg, Universitt

    . Furthermore, some iterative heuristics such as a genetic algorithm and a simulated annealing approach algorithm; simulated annealing 1. Introduction Production scheduling can be defined as the allocation), rubber (Yanney and Kuo, 1989), photographic film (Tsubone, Ohba, Takamuki, and Miyake, 1993), steel

  6. 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

  7. POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Rmisch, Werner

    POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 and pumped-storage hydro units is developed. For its compu- tational solution two di erent decompo- sition-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

  8. GreenSlot: Scheduling Energy Consumption in Green Datacenters

    E-Print Network [OSTI]

    , as demonstrated by the many small and medium datacen- ters (partially or completely) powered by solar and/or wind-energy-aware scheduling can have a signifi- cant role in building a more sustainable IT ecosystem. Categories and Subject is actually due to countless small and medium-sized data- centers [33], which are much less efficient

  9. Optimization of Steel Production Scheduling with Complex Time-

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    in the prices of energy might significantly affect the profitability as shown for a stainless-steel productionOptimization of Steel Production Scheduling with Complex Time- Sensitive Electricity Cost Hubert Research, Wallstadter Str. 59, 68526 Ladenburg, Germany b Technische Universität Dortmund, Emil-Figge Str

  10. Optimizing buffer sizes for pipeline workflow scheduling with setup times

    E-Print Network [OSTI]

    Benoit, Anne

    Optimizing buffer sizes for pipeline workflow scheduling with setup times Anne Benoit1, Jean real-life applications have a linear pipelined struc- ture, where each data set must go through all (data sets) enters the pipeline and must go through several stages such as filters, encoders, and so

  11. Scheduling Planned Maintenance of Electrical Power Transmission Networks Using

    E-Print Network [OSTI]

    Fernandez, Thomas

    Scheduling Planned Maintenance of Electrical Power Transmission Networks Using Genetic Algorithms Technical Report: CSRP9726 10 November 1997 Abstract The maintenance of the electrical power transmission Plan ning, Electricity Transmission Networks. 1 To appear in In Gennady K. Voronovsky and Serguey A

  12. Geography 347: Water as a Resource Lecture Schedule -Fall, 2012

    E-Print Network [OSTI]

    James, L. Allan

    Geography 347: Water as a Resource Lecture Schedule - Fall, 2012 Instructor: Dr. Allan James; Room: an essential resource Ch.1 2 Tu History of Hydrology; Physical Properties of Water Ch.2 Th Global Hydrologic Flood Hazards Management scan Ch.15 & 16 Th Fall Break, no classes ------- #12;Geography 347: Water

  13. Simultaneous Planning and Scheduling of Single-Stage Multiproduct Continuous Plants with Parallel Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 Key words: Planning; Scheduling; Multi-product integer linear programming model for the simultaneous planning and scheduling of single stage multi-product level the simultaneous planning and scheduling model is solved for a subset of products predicted

  14. A comparative study of continuous-time modelings for scheduling of crude oil operations

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A comparative study of continuous-time modelings for scheduling of crude oil operations Xuan Chena and formulations for the crude oil scheduling problem. We compare the event-based model, the unit slot model on its efficient performance for industrial problems. Keywords: Crude oil scheduling; event-based model

  15. Scheduling of large scale crude oil blending Felipe Diaz-Alvarado1, Francisco Trespalacios2,

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Scheduling of large scale crude oil blending Felipe Diaz-Alvarado1, Francisco Trespalacios2, 30 (4): 614-634. Diaz-Alvarado, Trespalacios, Grossmann Scheduling of large scale crude oil blending, P. A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

  16. Discrete-Time Scheduling under Real-Time Constraints Eduard Cerny

    E-Print Network [OSTI]

    Aboulhamid, El Mostapha

    into a discrete- time relative schedule. Such a schedule serves as the basis for implementing a synchronous state-machine controller. Keywords: Timing diagrams, relative scheduling, real-time constraints, synchronous state machines that is suitable for synchronous system implementations. The input specification is in the form of timing diagrams

  17. ISIS 9.0 | Schedule of Classes Report 1 Created: 10.24.12

    E-Print Network [OSTI]

    Capogna, Luca

    ISIS 9.0 | Schedule of Classes Report 1 Created: 10.24.12 Schedule of Classes Report ISIS 9.0 Running the Schedule of Classes Report Security access to the Report Manager option in ISIS is necessary to run this report. The process used to run this report is similar to all report processes in ISIS. 1

  18. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part II: Nonserial Dynamic Programming

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part II) is presented. The problem in this paper generalizes the smart home appliances scheduling problem introduced the following smart home appliances scheduling problem described in the companion paper [3], as the later

  19. 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

  20. Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers in the proceedings of the conference. #12;1 Abstract--Scheduling of storage devices in microgrids with multiple that can optimally schedule the storage devices in a microgrid solely through peer-to-peer coordination

  1. Aalborg Universitet Generation-Side Power Scheduling in a Grid-Connected DC Microgrid

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Aalborg Universitet Generation-Side Power Scheduling in a Grid-Connected DC Microgrid Hernndez). Generation-Side Power Scheduling in a Grid-Connected DC Microgrid. In IEEE ICDCM 2015. IEEE. General rights.aau.dk on: juli 04, 2015 #12;Generation-Side Power Scheduling in a Grid-Connected DC Microgrid Adriana C

  2. Complex Goal Criteria and Its Application in DesigntoCriteria Scheduling \\Lambday

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Complex Goal Criteria and Its Application in DesigntoCriteria Scheduling \\Lambday Thomas Wagner for satisficing to best meet the criteria. In the context of the DesigntoCriteria task scheduling paradigm, we specification and corre sponding evaluation mechanism are used throughout the DesigntoCriteria scheduling

  3. A Planning, Scheduling and Control Architecture for Advanced Life Support Systems

    E-Print Network [OSTI]

    Kortenkamp, David

    A Planning, Scheduling and Control Architecture for Advanced Life Support Systems V. Jorge Leon 77058 Abstract This paper describes an integrated planning, schedul- ing and control architecture and the requirements for plan- ning, scheduling and control architectures are pre- sented. Next, the main components

  4. On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software

    E-Print Network [OSTI]

    Ravindran, Binoy

    On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software ABSTRACT We present the first wait-free utility accrual (UA) real-time scheduling algorithms for embedded real-time systems. UA scheduling algorithms allow application activities to be sub- ject to time/utility

  5. A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource Constraints

    E-Print Network [OSTI]

    Ravindran, Binoy

    A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource-processor real-time scheduling algorithm called the Generic Utility Scheduling algorithm (which we will refer activities that have time con- straints specified using arbitrarily shaped time/utility functions, and have

  6. 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. 2002 Elsevier Science B

  7. 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

  8. Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling

    E-Print Network [OSTI]

    Morton, David

    1995-01-01

    Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling hydroelectric varies widely from year to year, depending on precipitation and streamflows. Optimal scheduling to PG&E. SOCRATES is a system for the optimal scheduling of PG&E's various energy sources over a one

  9. 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

  10. Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case

    E-Print Network [OSTI]

    Yuan, Xin

    1 Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness Xin existing round robin schedulers. Index Terms-- Packet scheduling, proportional fairness, worst- case, the proportional fairness that was defined by Golestani in [6] and the worst-case fairness that was defined

  11. 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

  12. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Jaehoon: Sensor Networks, Quality of Surveillance, De- tection, Scheduling, Energy, Mobile Target, Vehicle. 1 an energy-efficient scheduling al- gorithm for detection of mobile targets in wireless sensor networks. We

  13. Economic Scheduling in Grid Computing Carsten Ernemann, Volker Hamscher and Ramin Yahyapour,

    E-Print Network [OSTI]

    Feitelson, Dror

    1 Economic Scheduling in Grid Computing Carsten Ernemann, Volker Hamscher and Ramin Yahyapour by individuals with dif- ferent access and cost policies. This paper addresses the idea of applying economic models to the scheduling task. To this end a scheduling infrastructure and a market-economic method

  14. Contention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator Networks

    E-Print Network [OSTI]

    Barua, Rajeev

    , and chemical content to enable precise application of agents such as water, fertilizer, and pesticideContention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator implemented with a contention-free message scheduler. A message scheduler is used to determine which message

  15. 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

  16. 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

  17. On Scheduling AlltoAll Personalized Connections and CostEffective Designs in WDM Rings \\Lambda

    E-Print Network [OSTI]

    Qiao, Chunming

    . Or, if a high degree of transparency, \\Lambda A preliminary version entitled ``Scheduling All, which we refer to as a round. The number of rounds needed to schedule AAPC will be called the schedule for an appropriate round to transmit/receive at a predetermined wavelength. In addition, the maximum connection

  18. Power Scheduling for Multi-Hop Wireless Networks

    E-Print Network [OSTI]

    Yu, Yuan

    2009-01-01

    Maximization of Sum Rate under Power Constraint and DPC (5.1.3 Minimization of Power under Rate Constraint (Maximization of Sum Rate under Power Constraint and ZFDPC (

  19. Reoptimization of the Minimum Total Flow-Time Scheduling We consider reoptimization problems arising in dynamic scheduling environments, such

    E-Print Network [OSTI]

    Tamir, Tami

    of the classical scheduling problem of minimizing the total flow-time on identical machines (denoted in standard and virtual machine managers. Due to changes in the environment (out-of-order or new resources, modified jobs their current machine to a different one. Migrations are associated with a cost due to relocation overhead

  20. LOOP SCHEDULING FOR MINIMIZING SCHEDULE LENGTH AND SWITCHING Zili Shao, Qingfeng Zhuge, Edwin H.-M. Sha

    E-Print Network [OSTI]

    Sha, Edwin

    constraint. We design an algorithm, Power Reduction Rotation Schedul- ing (PRRS), to minimize both switching-complete when considering switching activities as the second constraint. An algorithm, Power Reduc- tion satisfying the timing constraint. Since switching activities play a key role in the total power consump- tion

  1. 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

    1998-01-01

    is arranged as shown in Figure l. As the production levels for the company increase, the need for efficient scheduling of this shop becomes more evident. 2 3 4 3 P6 7 8 9 10 11 12 13 14 16 17 18 19 15 20 1. Welding Shop 2. Automatic Saw 3. CNC...

  2. Special Analysis: Disposal Plan for Pit 38 at Technical Area 54, Area G

    SciTech Connect (OSTI)

    French, Sean B. [Los Alamos National Laboratory; Shuman, Rob [URS Coporation

    2012-06-26

    Los Alamos National Laboratory (LANL) generates radioactive waste as a result of various activities. Operational waste is generated from a wide variety of research and development activities including nuclear weapons development, energy production, and medical research; environmental restoration (ER), and decontamination and decommissioning (D&D) waste is generated as contaminated sites and facilities at LANL undergo cleanup or remediation. The majority of this waste is low-level radioactive waste (LLW) and is disposed of at the Technical Area 54 (TA-54), Area G disposal facility. U.S. Department of Energy (DOE) Order 435.1 (DOE, 2001) requires that radioactive waste be managed in a manner that protects public health and safety, and the environment. To comply with this order, DOE field sites must prepare site-specific radiological performance assessments for LLW disposal facilities that accept waste after September 26, 1988. Furthermore, sites are required to conduct composite analyses that account for the cumulative impacts of all waste that has been (or will be) disposed of at the facilities and other sources of radioactive material that may interact with the facilities. Revision 4 of the Area G performance assessment and composite analysis was issued in 2008 (LANL, 2008). These analyses estimate rates of radionuclide release from the waste disposed of at the facility, simulate the movement of radionuclides through the environment, and project potential radiation doses to humans for several on- and off-site exposure scenarios. The assessments are based on existing site and disposal facility data, and on assumptions about future rates and methods of waste disposal. The Area G disposal facility consists of Material Disposal Area (MDA) G and the Zone 4 expansion area. To date, disposal operations have been confined to MDA G and are scheduled to continue in that region until MDA G undergoes final closure at the end of 2013. Given its impending closure, efforts have been made to utilize the remaining disposal capacity within MDA G to the greatest extent possible. One approach for doing this has been to dispose of low-activity waste from cleanup operations at LANL in the headspace of selected disposal pits. Waste acceptance criteria (WAC) for the material placed in the headspace of pits 15, 37, and 38 have been developed (LANL, 2010) and the impacts of placing waste in the headspace of these units has been evaluated (LANL, 2012a). The efforts to maximize disposal efficiency have taken on renewed importance because of the disposal demands placed on MDA G by the large volumes of waste that are being generated at LANL by cleanup efforts. For example, large quantities of waste were recently generated by the retrieval of waste formerly disposed of at TA-21, MDA B. A portion of this material has been disposed of in the headspace of pit 38 in compliance with the WAC developed for that disposal strategy; a large amount of waste has also been sent to off-site facilities for disposal. Nevertheless, large quantities of MDA B waste remain that require disposal. An extension of pit 38 was proposed to provide the disposal capacity that will be needed to dispose of institutional waste and MDA B waste through 2013. A special analysis was prepared to evaluate the impacts of the pit extension (LANL, 2012b). The analysis concluded that the disposal unit could be extended with modest increases in the exposures projected for the Area G performance assessment and composite analysis, as long as limits were placed on the radionuclide concentrations in the waste that is placed in the headspace of the pit. Based, in part, on the results of the special analysis, the extension of pit 38 was approved and excavation of the additional disposal capacity was started in May 2012. The special analysis presented here uses performance modeling to identify a disposal plan for the placement of waste in pit 38. The modeling uses a refined design of the disposal unit and updated radionuclide inventories to identify a disposal configuration that promotes efficie

  3. Lesson 22 Related Rates

    E-Print Network [OSTI]

    2013-10-11

    Oct 11, 2013 ... A spherical weather balloon is being inflated with helium at a rate of 82 cubic meters per minute. Find the rate at which its radius is increasing.

  4. Adjacency Matrix Based Energy Efficient Scheduling using S-MAC Protocol in Wireless Sensor Networks

    E-Print Network [OSTI]

    Singh, Shweta

    2012-01-01

    Communication is the main motive in any Networks whether it is Wireless Sensor Network, Ad-Hoc networks, Mobile Networks, Wired Networks, Local Area Network, Metropolitan Area Network, Wireless Area Network etc, hence it must be energy efficient. The main parameters for energy efficient communication are maximizing network lifetime, saving energy at the different nodes, sending the packets in minimum time delay, higher throughput etc. This paper focuses mainly on the energy efficient communication with the help of Adjacency Matrix in the Wireless Sensor Networks. The energy efficient scheduling can be done by putting the idle node in to sleep node so energy at the idle node can be saved. The proposed model in this paper first forms the adjacency matrix and broadcasts the information about the total number of existing nodes with depths to the other nodes in the same cluster from controller node. When every node receives the node information about the other nodes for same cluster they communicate based on the s...

  5. Low Power Dynamic Scheduling for Computing Systems

    E-Print Network [OSTI]

    Neely, Michael J

    2011-01-01

    This paper considers energy-aware control for a computing system with two states: "active" and "idle." In the active state, the controller chooses to perform a single task using one of multiple task processing modes. The controller then saves energy by choosing an amount of time for the system to be idle. These decisions affect processing time, energy expenditure, and an abstract attribute vector that can be used to model other criteria of interest (such as processing quality or distortion). The goal is to optimize time average system performance. Applications of this model include a smart phone that makes energy-efficient computation and transmission decisions, a computer that processes tasks subject to rate, quality, and power constraints, and a smart grid energy manager that allocates resources in reaction to a time varying energy price. The solution methodology of this paper uses the theory of optimization for renewal systems developed in our previous work. This paper is written in tutorial form and devel...

  6. Calibration and Rating of Photovoltaics: Preprint

    SciTech Connect (OSTI)

    Emery, K.

    2012-06-01

    Rating the performance of photovoltaic (PV) modules is critical to determining the cost per watt, and efficiency is useful to assess the relative progress among PV concepts. Procedures for determining the efficiency for PV technologies from 1-sun to low concentration to high concentration are discussed. We also discuss the state of the art in primary and secondary calibration of PV reference cells used by calibration laboratories around the world. Finally, we consider challenges to rating PV technologies and areas for improvement.

  7. DOERS Records Schedule Cross Index to DOE Administrative Records

    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 DataEnergy Webinar:IAbout Us| Department ofDisposition Schedules |

  8. Resonant thermonuclear reaction rate

    SciTech Connect (OSTI)

    Haubold, H.J.; Mathai, A.M.

    1986-08-01

    Basic physical principles for the resonant and nonresonant thermonuclear reaction rates are applied to find their standard representations for nuclear astrophysics. Closed-form representations for the resonant reaction rate are derived in terms of Meijer's G-italic-function. Analytic representations of the resonant and nonresonant nuclear reaction rates are compared and the appearance of Meijer's G-italic-function is discussed in physical terms.

  9. LCC Guidance Rates

    Office of Energy Efficiency and Renewable Energy (EERE)

    Notepad text file provides the LCC guidance rates in a numbered format for the various regions throughout the U.S.

  10. Unit 51 - GIS Application Areas

    E-Print Network [OSTI]

    Unit 51, CC in GIS; Cowen, David; Ferguson, Warren

    1990-01-01

    51 - GIS APPLICATION AREAS UNIT 51 - GIS APPLICATION AREAS1990 Page 1 Unit 51 - GIS Application Areas Computers inyour students. UNIT 51 - GIS APPLICATION AREAS Compiled with

  11. Power Rate Cases (pbl/rates)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgram Guidelines This document w w w.pv - te ch.orgPower PlantRates >

  12. Power Rates Announcements (pbl/rates)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeedingProgram Guidelines This document w w w.pv - te ch.orgPower PlantRates >

  13. Rates Meetings and Workshops (pbl/rates)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * Impacts on GlobalRachel2RateCaseElements Sign In About | FY

  14. Previous Power Rates (rates/current)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-Rich Matrices in Hydrothermal PlumesPress1,Previous EventsRates

  15. Electric germs Source: scenta Rate this item

    E-Print Network [OSTI]

    Lovley, Derek

    Electric germs Source: scenta Rate this item People in remote areas could benefit from fuel cells that contain bacteria that grows prolifically on the graphite anodes of fuel cells and can conduct electricity surface that conducted electricity. Presenting his findings at the Society for General Microbiology

  16. High Surface Area Stainless Steel Brushes as Cathodes in Microbial

    E-Print Network [OSTI]

    High Surface Area Stainless Steel Brushes as Cathodes in Microbial Electrolysis Cells D O U G L show here that high surface area stainless steel brush cathodes produce hydrogen at rates. Using a stainless steel brush cathode with a specific surface area of 810 m2 /m3 , hydrogen was produced

  17. Contract and Tiered Rate Methodology Overview

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

    Network Transmission rights to schedule Federal and non-Federal resources to its load. Transmission Curtailment Management Service (TCMS) - a service that is now to be...

  18. Energy Efficient Greedy Link Scheduling and Power Control in wireless networks

    E-Print Network [OSTI]

    Sridharan, Arun

    2012-01-01

    We consider the problem of joint link scheduling and power control for wireless networks with average transmission power constraints. Due to the high computational complexity of the optimal policies, we extend the class of greedy link scheduling policies to handle average power constraints. We develop a greedy link scheduling and power control scheme GECS, with provable performance guarantees. We show that the performance of our greedy scheduler can be characterized using the Local Pooling Factor (LPF) of a network graph, which has been previously used to characterize the stability of the Greedy Maximal Scheduling (GMS) policy for wireless networks. We also simulate the performance of GECS on wireless network, and compare its performance to another candidate greedy link scheduling and power control policy.

  19. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2011

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2011-01-21

    This document contains the calendar year 2011 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 2011, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2011.

  20. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2007

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2007-01-31

    This document contains the calendar year 2007 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 and may not be collected in 2007 in which case the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2007.