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Sample records for als operating schedule

  1. ALS Operating Schedule on Google Calendar

    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.TheoryTuesday, August 10, 20102016 News BelowAskedAIKENALSDoctoralALS Operating

  2. ALS Operating Schedule on Google Calendar

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N I TALS EvidenceHistory: TheALS

  3. 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

  4. 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....

  5. 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...

  6. 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 -...

  7. 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...

  8. 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

  9. Energy-Constrained Scheduling for Weakly-Hard Real-Time Systems Tarek A. AlEnawy and Hakan Aydin

    E-Print Network [OSTI]

    Aydin, Hakan

    a different type of problem. In the energy-constrained settings, the energy is more than an important designEnergy-Constrained Scheduling for Weakly-Hard Real-Time Systems Tarek A. AlEnawy and Hakan Aydin energy budget during an operation/mission. We adopt the weakly-hard real- time scheduling paradigm

  10. 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, ...

  11. ALS Operating Schedule on Google Calendar

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N I TALS EvidenceHistory:

  12. 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

  13. 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...

  14. 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

  15. 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

  16. Computer scheduling for a foundry casting operation

    E-Print Network [OSTI]

    Cabron, Franklin Edward

    1965-01-01

    ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ REFERENCES ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ e ~ s ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ BIBLI OGRAPHY e ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ TABLE OF CONTENTS Chapter Page APPENDIX I F low Charts..., Descriptions for this information set are given in Section F 5 ' 3 ' 2 Px'ogram Procedures, The iniCial operation perfoxmed by the program during execution is to read facility definition and control infer mation and the or4er backlog data The indicated...

  17. 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

  18. 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

  19. A CP Based Branching Tool for Breaking Symmetries in Crude-Oil Operations Scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A CP Based Branching Tool for Breaking Symmetries in Crude-Oil Operations Scheduling Sylvain Mouret Goals Optimize the schedule of operations for the crude-oil unloading and blending problem using in the MINLP model Use CP inference techniques to improve performance 1 / 14 #12;Crude-oil operations

  20. Scheduling of oil-refinery operations Felipe Diaz-Alvarado2, Francisco Trespalacios1,

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    for the products. Product yields are specified for each crude. Minimum product yields for CDU. D-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems. Industrial & Engineering Chemistry Mouret, S. Optimal Scheduling of Refinery Crude-Oil Operations. Ph.D. Thesis. Department of Chemical

  1. Some Guidelines for Proportional Share CPU Scheduling in GeneralPurpose Operating Systems

    E-Print Network [OSTI]

    Utah, University of

    Some Guidelines for Proportional Share CPU Scheduling in General­Purpose Operating Systems John, and less effort on generating new algorithms. In this paper we focus on proportional share schedulers. We introduce the notion of pessimism---the proportion of over­ reservation required for an application to meet

  2. Some Guidelines for Proportional Share CPU Scheduling in General-Purpose Operating Systems

    E-Print Network [OSTI]

    Utah, University of

    Some Guidelines for Proportional Share CPU Scheduling in General-Purpose Operating Systems John, and less effort on generating new algorithms. In this paper we focus on proportional share schedulers. We introduce the notion of pessimism--the proportion of over- reservation required for an application to meet

  3. An approach to predict operational performance of airline schedules using aircraft assignment key performance indicators

    E-Print Network [OSTI]

    Riedel, Robin

    2006-01-01

    This thesis presents an approach for predicting operational performance of airlines on the basis of flight schedules and aircraft assignments. The methodology uses aggregate measures of properties of aircraft assignments, ...

  4. SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support

    E-Print Network [OSTI]

    Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

  5. 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

  6. Operation 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 WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeatMaRIEdioxideUser WorkEPVisitingOil &this site »

  7. Developing Operator Models for UAV Search Scheduling L. F. Bertuccelli, N. W. M. Beckers, and M. L. Cummings

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    Developing Operator Models for UAV Search Scheduling L. F. Bertuccelli, N. W. M. Beckers, and M. L. Cummings With the increased use of Unmanned Aerial Vehicles (UAVs), it is envisioned that UAV opera- tors. In the context of search missions, operators supervising a large number of UAVs can be- come overwhelmed

  8. Power-Aware Linear Programming Based Scheduling for Heterogeneous Computer Hadil Al-Daoud

    E-Print Network [OSTI]

    Down, Doug

    of electricity, reducing energy consumption has become an economic necessity (see Bianchini et al. [5 experiments show that using our proposed policy results in significant reduction in energy consumption while consumption has been mostly neglected. Reducing energy consumption in computer clusters has become a necessity

  9. Planning and scheduling of concurrent high-level activities for UUV mission operations

    E-Print Network [OSTI]

    Chang, Larry, S. M. Massachusetts Institute of Technology

    2007-01-01

    This thesis develops a mission planning and scheduling algorithm that enables a single Unmanned Undersea Vehicle (UUV) to concurrently perform high level activities, while managing various resources in a dynamic ocean ...

  10. 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

  11. A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems Sylvain, France E-mail: grossmann@cmu.edu October 2008 Abstract The optimal scheduling of crude-oil operations be used to solve the crude-oil operations problem introduced by Lee et al. 1 . It is different from

  12. Operator Objective Function Guidance for a Real-time Unmanned Vehicle Scheduling Algorithm

    E-Print Network [OSTI]

    Clare, A.S.

    Advances in autonomy have made it possible to invert the typical operator-to-unmanned-vehicle ratio so that asingle operator can now control multiple heterogeneous unmanned vehicles. Algorithms used in unmanned-vehicle ...

  13. 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...

  14. Airline schedule planning and operations : optimization-based approaches for delay mitigation

    E-Print Network [OSTI]

    Marla, Lavanya

    2010-01-01

    We study strategic and operational measures of improving airline system performance and reducing delays for aircraft, crew and passengers. As a strategic approach, we study robust optimization models, which capture possible ...

  15. _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...

  16. _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...

  17. 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.

  18. 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...

  19. 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...

  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. Track maintenance scheduling and its interactions with operations: Dedicated and mixed high-speed rail (HSR) scenarios

    E-Print Network [OSTI]

    Sussman, Joseph M.

    HSRs are a complex system not only in terms of technical specifications, but also with respect to operations and maintenance over the track structure. Also, track structure is basically considered as the most important and ...

  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. 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 ...

  4. 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...

  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. Factory operations modelling / scheduling /implementation

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    by Bakker & Bongers An industrial case study #12;2011-09-29/PMB Unilever Confidential 2 Unilever in a glance is to add vitality to life We meet everyday needs for nutrition, hygiene, and personal care with brands.), Handbook of Industrial Engineering (2nd edition). Chichester: Wiley.Interscience. #12;2011-09-29/PMB

  7. Feedback Guided Scheduling of Nested Loops T. L. Freeman 1 , D. J. Hancock 1 , J. M. Bull 2 , and R. W. Ford 1

    E-Print Network [OSTI]

    Bull, Mark

    (variants of) guided self scheduling (Polychronopoulos and Kuck [11], Eager and Zahorjan [5], Hummel et al

  8. 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. ...

  9. 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

  10. 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...

  11. Potential Operation and Maintenance (O&M) Savings in the John Sealy North Building at UTMB

    E-Print Network [OSTI]

    Liu, M.; Athar, A.; Reddy, T. A.; Claridge, D. E.; Haberl, J. S.

    1993-01-01

    schedule, the cold deck reset schedule and the hot deck reset schedule. These optimized HVAC operation schedules were determined using an analysis involving a simplified HVAC model, which was calibrated against daily data measured by the LoanSTAR program...

  12. 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

  13. 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.

  14. _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...

  15. Electric vehicle smart charging and vehicle-to-grid operation, International Journal of Parallel, Emergent and Distributed Systems, vol. 27, no. 3. March 2012.

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Electric vehicle smart charging and vehicle-to-grid operation, International Journal of Parallel operator. Index Terms-- Charge Scheduling, EV, Smart Grid, V2G I. INTRODUCTION One million electric@gmail.com) techniques which minimize charging cost to the consumer and grid load at peak hours. Shao et al. [7] proposed

  16. 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

  17. 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:...

  18. 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)...

  19. 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.

  20. 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

  1. TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH

    E-Print Network [OSTI]

    Zhang, Junshan

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

  2. 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.

  3. 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.

  4. 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

  5. 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...

  6. 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...

  7. Daily Flight Planning and Operations 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 like submit theCovalent Bonding Low-Cost2 DOE HQSiteo n n(Technical Report) | SciTechDaily

  8. Upcoming Long-Term Operating Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19Portal UniversityUpcoming

  9. Upcoming Long-Term Operating Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout /Two0 - 19Portal UniversityUpcomingUpcoming Long-Term

  10. Current Long-Term Operating Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet Hanford Advisory Board Convening Report SSAB GuidanceCurrent

  11. Current Long-Term Operating Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet Hanford Advisory Board Convening Report SSAB

  12. Current Long-Term Operating Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecoveryplanningCoalSocialFrameworks AppliedCurrent

  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. On the user-scheduler relationship in high-performance computing

    E-Print Network [OSTI]

    Lee, Cynthia Bailey

    2009-01-01

    example, the Cray-2 [4] super- computer and its contemporaryweeks of operation of the super- computer. Comparing to theis shared with other super- computer schedulers, namely the

  15. 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.

  16. Operational Waste Volume Projection

    SciTech Connect (OSTI)

    STRODE, J.N.

    2000-08-28

    Waste receipts to the double-shell tank system are analyzed and wastes through the year 2015 are projected based on generation trends of the past 12 months. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement. Assumptions were current as of June. 2000.

  17. Operational Waste Volume Projection

    SciTech Connect (OSTI)

    STRODE, J.N.

    1999-08-24

    Waste receipts to the double-shell tank system are analyzed and wastes through the year 2018 are projected based on assumption as of July 1999. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement.

  18. 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...

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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.

  7. 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

  8. Schedule - 88-Inch Cyclotron

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity PartnershipsSavannahSchedule

  9. 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

  10. 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

  11. 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

  12. Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition Sylvain: refinery planning and crude-oil operations scheduling. The proposed approach consists of using Lagrangian approaches and produces better solutions in reasonable times. Keywords: refinery planning, crude-oil

  13. Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1 , Pramod on demand. Big Data Clouds is a new generation data analytics platform using Cloud computing as a back end and empirical tools. MapReduce scheduling models for Big Data computing operate in the cluster mode, where

  14. Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network

    E-Print Network [OSTI]

    Ros, Llus

    Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network Tom Creemers1-distribution network involves the scheduling of multiple maintenance and unforeseen repair tasks. The main resource, energy losses, and the cost of the necessary switching operations. In case tasks are carried out

  15. 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.

  16. 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

  17. Reduce Building Energy Consumption by Improving the Supply Air Temperature Schedule and Recommissioning the Terminal Boxes, Submitted to the Energy Management and Operations Division at the M.D. Anderson Cancer Center

    E-Print Network [OSTI]

    Liu, M.; Athar, A.; Zhu, Y.; Claridge, D. E.

    1995-01-01

    At the request of the Energy Management and Operations Department at M.D. Anderson Cancer Center, the Energy Systems Laboratory of Texas A&M University performed a study of optimizing the HVAC operation at its Basic Research Building. The Basic...

  18. 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.

  19. 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

  20. Course Information SER 234 Operating Systems and Networking

    E-Print Network [OSTI]

    Course Information SER 234 Operating Systems and Networking Catalog Description Fundamentals of operating systems, process management, scheduling, and file management. Network technology, topologies, protocols, application control; network and operating system security. Credit Hours

  1. 650 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 26, NO. 2, APRIL 2011 Hourly Scheduling of DC Transmission Lines in

    E-Print Network [OSTI]

    Fu, Yong

    ). The impact of VSC-DC transmission system on the economics and the security of integrated ac/dc transmission will determine the optimal hourly schedule of controllable VSC-DC transmission systems in electricity markets;LOTFJOU et al.: HOURLY SCHEDULING OF DC TRANSMISSION LINES 651 , Vector of real and reactive power

  2. Results & Conclusions SPECInt 2000. 4 way. 32 IQ entries. 128 ROB. 64 LSQ. Baseline: 2-cycle Scheduling Loop latency

    E-Print Network [OSTI]

    Morancho, Enric

    -cycle Scheduling Loop latency Ideal (1 cycle) Our Proposal Our proposal & fusion Speculative Wakeup-mcf Speed-up over Baseline Baseline with Double IQ size (64 IQ entries) Baseline & fusion We have proposed two previously proposed speculative schedulers Conclusions References [Star00] J. Stark et al

  3. Global vs. local decision support for multiple independent UAV schedule management

    E-Print Network [OSTI]

    Cummings, M.l

    2010-01-01

    As unmanned aerial vehicles (UAVs) become increasingly autonomous, time-critical and complex single-operator systems will require advance prediction and mitigation of schedule conflicts. However, actions that

  4. Predictive and Corrective Scheduling in Electric Energy Systems with Variable Resources

    E-Print Network [OSTI]

    Gu, Yingzhong

    2014-11-05

    real-time power system operations. This dissertation focuses on introducing and testing advanced scheduling algorithms for electric power systems with high penetration of variable resources. A novel predictive and optimal corrective look-ahead dispatch...

  5. Diff-Max: Separation of routing and scheduling in backpressure-based wireless networks

    E-Print Network [OSTI]

    Seferoglu, Hulya

    Backpressure routing and scheduling, with throughput-optimal operation guarantee, is a promising technique to improve throughput in wireless multi-hop networks. Although backpressure is conceptually viewed as layered, the ...

  6. Modeling real-time human-automation collaborative scheduling of unmanned vehicles

    E-Print Network [OSTI]

    Clare, Andrew S

    2013-01-01

    Recent advances in autonomy have enabled a future vision of single operator control of multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling for multiple UVs in uncertain environments will require the ...

  7. Decision Support Visualizations for Schedule Management of Multiple Unmanned Aerial Vehicles

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    Decision Support Visualizations for Schedule Management of Multiple Unmanned Aerial Vehicles Amy S, 02139 Unmanned aerial vehicles (UAVs) are quickly becoming indispensable in military operations aerial vehicles (UAVs) for reconnaissance, surveillance, and attack missions, and there is also

  8. Vehicle routing and scheduling for the ultra short haul transportation system

    E-Print Network [OSTI]

    Smith, Barry C.

    1979-01-01

    A method of vehicle routing and scheduling for an air based intraurban transportation system is developed. The maximization of level of service to passengers in a system operating under time varying demand is considered ...

  9. 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

  10. 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

  11. 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.

  12. 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

  13. Three-Stage Production Cost Modeling Approach for Evaluating the Benefits of Intra-Hour Scheduling between Balancing Authorities

    SciTech Connect (OSTI)

    Samaan, Nader A.; Milligan, Michael; Hunsaker, Matthew; Guo, Tao

    2015-07-30

    This paper introduces a Production Cost Modeling (PCM) approach to evaluate the benefits of intra-hour scheduling between Balancing Authorities (BAs). The system operation is modeled in a three-stage sequential manner: day ahead (DA)-hour ahead (HA)-real time (RT). In addition to contingency reserve, each BA will need to carry out up and down load following and regulation reserve capacity requirements in the DA and HA time frames. In the real-time simulation, only contingency and regulation reserves are carried out as load following is deployed. To model current real-time operation with hourly schedules, a new constraint was introduced to force each BA net exchange schedule deviation from HA schedules to be within NERC ACE limits. Case studies that investigate the benefits of moving from hourly exchange schedules between WECC BAs into 10-min exchange schedules under two different levels of wind and solar penetration (11% and 33%) are presented.

  14. 17th Annual ALS Users' Association Meeting

    SciTech Connect (OSTI)

    Robinson, Art; Tamura, Lori

    2004-11-29

    It's not exactly Russian roulette, but scheduling October events outdoors is not risk-free, even in usually sunny California. An overflow crowd of more than 400 registered users, ALS staff, and vendors enjoyed a full indoor program featuring science highlights and workshops spread over two and a half days from October 18 to October 20. However, a major storm, heralding the onset of the San Francisco Bay Area rainy season, posed a few weather challenges for the events on the ALS patio.

  15. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, VOL. 23, NO. 3, AUGUST 2010 477 Optimal Preventive Maintenance Scheduling in

    E-Print Network [OSTI]

    Fernandez, Emmanuel

    of pre- ventive maintenance (PM) tasks in semiconductor manufacturing operations. We also present results Preventive Maintenance Scheduling in Semiconductor Manufacturing Systems: Software Tool and Simulation Case of a preventive maintenance optimization software tool (PMOST), based on algorithms for the optimal scheduling

  16. 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...

  17. 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, ...

  18. 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...

  19. Idaho National Engineering Laboratory Environmental Restoration Program Schedule Contingency Evaluation Report

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    This report represents the schedule contingency evaluation done on the FY-93 Major System Acquisition (MSA) Baseline for the Idaho National Engineering Laboratory`s (INEL) Environmental Restoration Program (EPP). A Schedule Contingency Evaluation Team (SCET) was established to evaluate schedule contingency on the MSA Baseline for the INEL ERP associated with completing work within milestones established in the baseline. Baseline schedules had been established considering enforceable deadlines contained in the Federal Facilities Agreement/Consent Order (FFA/CO), the agreement signed in 1992, by the State of Idaho, Department of Health & Welfare, the U.S. Environmental Protection Agency, Region 10, and the U.S. Department of Energy, Idaho Operations Office. The evaluation was based upon the application of standard schedule risk management techniques to the specific problems of the INEL ERP. The schedule contingency evaluation was designed to provided early visibility for potential schedule delays impacting enforceable deadlines. The focus of the analysis was on the duration of time needed to accomplish all required activities to achieve completion of the milestones in the baseline corresponding to the enforceable deadlines. Additionally, the analysis was designed to identify control of high-probability, high-impact schedule risk factors.

  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. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. ALS Visitors

    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.TheoryTuesday, August 10, 20102016 NewsUsers' Executive Committee ALS Users'ALS

  8. Optimization of Crude-Oil Blending Operations Sylvain Mouret Ignacio E. Grossmann Pierre Pestiaux

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimization of Crude-Oil Blending Operations Sylvain Mouret Ignacio E. Grossmann Pierre Pestiaux Optimize the schedule of operations for the crude-oil prob- lem using a MINLP scheduling model Tools MINLP Sylvain Mouret, Ignacio E. Grossmann, Pierre Pestiaux Optimization of Crude-Oil Blending Operations #12

  9. Utah Water Rights Fee 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| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:PowerNewPumaty JumpRules ofOfficeQualityFee Schedule

  10. Building Reconstruction from ALS: Integrating Shape knowledge

    E-Print Network [OSTI]

    Building Reconstruction from ALS: Integrating Shape knowledge and Manual Operation Biao Xiong George Vosselman #12;Introduction Primitive Buildings Constraint Least Square Fit Manual Operation Future work 2 #12;Introduction Primitive Buildings Building Knowledge Constraint Least Square Fit Manual

  11. Oversight Scheduling and Operational Awareness at the Savannah...

    Energy Savers [EERE]

    quality review. 3. The Site Lead is having continuing discussions with Waste Disposition Engineering Division (WDED) personnel on additional opportunities for nuclear safety...

  12. ARM Intensive Operational Period Scheduled to Validate New NASA Satellite

    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 OutreachProductswsicloudwsicloudden Documentation Data Management Facility PlotsProducts (VAP)

  13. Exhibit D: Mirant Potomac River Schedule of Operations: January and

    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-inPPLfor InnovativeProcessing22,673, proposed FederalEnergyDepartment

  14. Exhibit D: Mirant Potomac River Schedule of Unit Operations: January -

    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-inPPLfor InnovativeProcessing22,673, proposed

  15. 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.

  16. 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...

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. 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...

  2. 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.

  3. 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...

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. AL. I

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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 NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers Co -VANaval Ordnance,:n5.5.8GE 1A L L'-AL.

  10. ALS Spectrum

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N I TALSALSSpectroscopyALS

  11. ALS Visitors

    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.TheoryTuesday, August 10, 20102016 NewsUsers' Executive Committee ALS Users'ALSQuick

  12. ALS Visitors

    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.TheoryTuesday, August 10, 20102016 NewsUsers' Executive Committee ALS

  13. Industry @ ALS

    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 Heat Pumpsfacility doe logoInIndustry @ ALS

  14. Reviw Al

    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) Wyoming963 1.969 1.979 1.988 1.996 2.003 1990-2016 East CoastReviw Al now ..

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. Supervisory Physical Scientist (Power Operations)

    Broader source: Energy.gov [DOE]

    This position is located in Duty Scheduling (PGSD), Generation Scheduling (PGS), Power Services (P), Bonneville Power Administration. Duty Scheduling provides 24-hour coverage of the real-time...

  7. LCLS-scheduling-run_6_Ver4.xlsx

    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 ScheduleUser-Assisted 1 2 3

  8. LCLS-scheduling-run_V_Ver9c.xlsx

    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 ScheduleUser-Assisted 1 2 3

  9. 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

  10. Stochastic models and data driven simulations for healthcare operations

    E-Print Network [OSTI]

    Anderson, Ross Michael

    2014-01-01

    This thesis considers problems in two areas in the healthcare operations: Kidney Paired Donation (KPD) and scheduling medical residents in hospitals. In both areas, we explore the implications of policy change through high ...

  11. 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).

  12. An Online Scheduling Algorithm with Advance Reservation for Large-Scale Data Transfers

    SciTech Connect (OSTI)

    Balman, Mehmet; Kosar, Tevfik

    2010-05-20

    Scientific applications and experimental facilities generate massive data sets that need to be transferred to remote collaborating sites for sharing, processing, and long term storage. In order to support increasingly data-intensive science, next generation research networks have been deployed to provide high-speed on-demand data access between collaborating institutions. In this paper, we present a practical model for online data scheduling in which data movement operations are scheduled in advance for end-to-end high performance transfers. In our model, data scheduler interacts with reservation managers and data transfer nodes in order to reserve available bandwidth to guarantee completion of jobs that are accepted and confirmed to satisfy preferred time constraint given by the user. Our methodology improves current systems by allowing researchers and higher level meta-schedulers to use data placement as a service where theycan plan ahead and reserve the scheduler time in advance for their data movement operations. We have implemented our algorithm and examined possible techniques for incorporation into current reservation frameworks. Performance measurements confirm that the proposed algorithm is efficient and scalable.

  13. Rack Aware Scheduling in HPC data centers An energy conservation strategy

    E-Print Network [OSTI]

    Chaudhary, Vipin

    Rack Aware Scheduling in HPC data centers An energy conservation strategy Vikas Ashok Patil centers has become a long standing issue. With rising costs of operating the data center, various of the data center. We show that we can gain considerable energy savings by reducing the energy consumed

  14. Influence of System Characteristics and Scheduling Patterns on Commuter Rail Energy Efficiency

    E-Print Network [OSTI]

    Barkan, Christopher P.L.

    regarded as an effective transportation alternative to reduce energy consumption and emissions in large rail mode. However, operating energy efficiency varies with many factors such as vehicle type, traction1 Influence of System Characteristics and Scheduling Patterns on Commuter Rail Energy Efficiency

  15. Energy-Aware Modeling and Scheduling of Real-Time Tasks for Dynamic Voltage Scaling

    E-Print Network [OSTI]

    Xu, Cheng-Zhong

    scaling (DVS) is an effective approach to power reduction by scaling the processor voltage and frequency the voltage accordingly. On the other hand, a reduction of the operating frequency leads to an increaseEnergy-Aware Modeling and Scheduling of Real-Time Tasks for Dynamic Voltage Scaling Xiliang Zhong

  16. Tackling the Load Uncertainty Challenges for Energy Consumption Scheduling in Smart Grid

    E-Print Network [OSTI]

    Wong, Vincent

    both users, by reducing their energy expenses, and utility companies, by improving the peak T Number of time slots a Nominal power of appliance a Ea Total required energy of appliance a a OperatingTackling the Load Uncertainty Challenges for Energy Consumption Scheduling in Smart Grid Pedram

  17. BATTERY AWARE TASK SCHEDULING FOR A SYSTEM-ON-A-CHIP USING VOLTAGE/CLOCK SCALING

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    BATTERY AWARE TASK SCHEDULING FOR A SYSTEM-ON-A-CHIP USING VOLTAGE/CLOCK SCALING Princey Chowdhury Engineering Tempe AZ 85287 ABSTRACT Battery lifetime is a critical parameter in the operation of mobile computing devices. The lifetime of such devices is directly dependent on the battery discharge profile

  18. Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management

    E-Print Network [OSTI]

    Koutsopoulos, Iordanis

    2010-01-01

    The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...

  19. Parallel-aware, dedicated job co-scheduling within/across symmetric multiprocessing nodes

    DOE Patents [OSTI]

    Jones, Terry R. (Livermore, CA); Watson, Pythagoras C. (Livermore, CA); Tuel, William (Kingston, NY); Brenner, Larry (Austin, TX); ,Caffrey, Patrick (Saugerties, NY); Fier, Jeffrey (Livermore, CA)

    2010-10-05

    In a parallel computing environment comprising a network of SMP nodes each having at least one processor, a parallel-aware co-scheduling method and system for improving the performance and scalability of a dedicated parallel job having synchronizing collective operations. The method and system uses a global co-scheduler and an operating system kernel dispatcher adapted to coordinate interfering system and daemon activities on a node and across nodes to promote intra-node and inter-node overlap of said interfering system and daemon activities as well as intra-node and inter-node overlap of said synchronizing collective operations. In this manner, the impact of random short-lived interruptions, such as timer-decrement processing and periodic daemon activity, on synchronizing collective operations is minimized on large processor-count SPMD bulk-synchronous programming styles.

  20. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy s National Nuclear Security Administration under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department Laboratories Albuquerque, NM 87185 Fusion Power Associates Annual Meeting and Symposium Washington, DC

  1. 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

  2. PHENIX Work Breakdown Structure. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The Work Breakdown Structure (WBS) Book begins with this Overview section, which contains the high-level summary cost estimate, the cost profile, and the global construction schedule. The summary cost estimate shows the total US cost and the cost in terms of PHENIX construction funds for building the PHENIX detector. All costs in the WBS book are shown in FY 1993 dollars. Also shown are the institutional and foreign contributions, the level of pre-operations funding, and the cost of deferred items. Pie charts are presented at PHENIX WBS level 1 and 2 that show this information. The PHENIX construction funds are shown broken down to PHENIX WBS level 3 items per fiscal year, and the resulting profile is compared to the RHIC target profile. An accumulated difference of the two profiles is also shown. The PHENIX global construction schedule is presented at the end of the Overview section. Following the Overview are sections for each subsystem. Each subsystem section begins with a summary cost estimate, cost profile, and critical path. The total level 3 cost is broken down into fixed costs (M&S), engineering costs (EDIA) and labor costs. Costs are further broken down in terms of PHENIX construction funds, institutional and foreign contributions, pre-operations funding, and deferred items. Also shown is the contingency at level 3 and the level 4 breakdown of the total cost. The cost profile in fiscal years is shown at level 3. The subsystem summaries are followed by the full cost estimate and schedule sheets for that subsystem. These detailed sheets are typically carried down to level 7 or 8. The cost estimate shows Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

  3. PHENIX WBS notes. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The Work Breakdown Structure (WBS) Book begins with this Overview section, which contains the high-level summary cost estimate, the cost profile, and the global construction schedule. The summary cost estimate shows the total US cost and the cost in terms of PHENIX construction funds for building the PHENIX detector. All costs in the WBS book are shown in FY 1993 dollars. Also shown are the institutional and foreign contributions, the level of pre-operations funding, and the cost of deferred items. Pie charts are presented at PHENIX WBS level 1 and 2 that show this information. The PHENIX construction funds are shown broken down to PHENIX WBS level 3 items per fiscal year, and the resulting profile is compared to the RHIC target profile. An accumulated difference of the two profiles is also shown. The PHENIX global construction schedule is presented at the end of the Overview section. Following the Overview are sections for each subsystem. Each subsystem section begins with a summary cost estimate, cost profile, and critical path. The total level 3 cost is broken down into fixed costs (M&S), engineering costs (EDIA) and labor costs. Costs are further broken down in terms of PHENIX construction funds, institutional and foreign contributions, pre-operations funding, and deferred items. Also shown is the contingency at level 3 and the level 4 breakdown of the total cost. The cost profile in fiscal years is shown at level 3. The subsystem summaries are followed by the full cost estimate and schedule sheets for that subsystem. These detailed sheets are typically carried down to level 7 or 8. The cost estimate Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

  4. 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...

  5. 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

  6. 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

  7. 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 ...

  8. 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...

  9. 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

  10. 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.

  11. 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.

  12. 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.

  13. Optimal Real-Time Pump and Irrigation Scheduling for Center-Pivot Sprinkler Systems.

    SciTech Connect (OSTI)

    Chou, Frederick N-F.

    1988-09-01

    Center-pivot farms located on major river systems generally pump water from the surface source and convey it through a pressurized pipe network to the pivots. Booster pump stations may be placed in the system to add necessary head for water delivery to the pivots. Attempts to improve pump and irrigation scheduling must make sure that soil moisture levels are maintained within desired limits for favorable crop growth. A soil water balance model and a branching pipe network hydraulics analysis model are therefore necessary for simulating system behavior and estimating pumping costs. The objective of this study is to develop a dynamic irrigation scheduling algorithm for achieving minimum pumping cost over a billing period, object to maintaining optimum crop production and adequate system delivery pressures. After investigation of several optimization methods, dynamic programming successive approximations (DPSA) is selected as the best approach to solving this problem. Feasibility in scheduling pivot operations and maintaining favorable soil water levels is always guaranteed during the DPSA analysis. Discrete dynamic programming is also applied for selecting pump combinations in each pump station with consideration of hydraulic interaction between stations to minimize pumping cost during each scheduling period for a specified irrigation strategy. A modified objective function is adopted for commensurating objectives of minimizing energy consumption and peak power demand. A comprehensive, generalized irrigation scheduling algorithm is developed to effectively integrate optimal irrigation decision with optimal pump selection. 116 refs.

  14. 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-

  15. 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-

  16. 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-

  17. Western Baldwin County, AL Grid Interconnection Project

    SciTech Connect (OSTI)

    Thomas DeBell

    2011-09-30

    The Objective of this Project was to provide an additional supply of electricity to the affected portions of Baldwin County, AL through the purchase, installation, and operation of certain substation equipment.

  18. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Ray, Jaideep

    , for the United States Department of Energy under contract DE-AC04-94AL85000. #12;CO2 Emissions CO2 responsible) emissions and CO/CO2 FF emissions predicted using population density, economic factors ("bottoms forcing. #12;ROM-based CO2 Source Inversion The convection-diffusion equation is used t

  19. 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.

  20. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy s National Nuclear Security Administration under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company85000. Status of Z-Pinch ICF ResearchStatus of Z-Pinch ICF Research Fusion Power Associates Meeting

  1. ALS User Meeting

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

    ALS User Meeting Print web banner ALS User Meeting: October 5-7, 2015 Home Agenda Awards Exhibitors Lodging Posters Registration Transportation Workshops Contact Us User Meeting...

  2. Six Berkeley Lab (Three ALS) Scientists Are 2012 APS Fellows

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

    "seminal contributions to x-ray optics, instrumentation, and research with synchrotron radiation." David Robin of AFRD is the ALS Division Deputy for Operations and Accelerator...

  3. 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...

  4. 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 ...

  5. 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...

  6. 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...

  7. 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...

  8. 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

  9. 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

  10. 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

  11. 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. ...

  12. 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 ...

  13. 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

  14. 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)

  15. 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

  16. 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

  17. 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

  18. 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...

  19. 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,...

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company85000. Progress on Z-Pinch Inertial Fusion Energy Craig L. Olson Sandia National Laboratories Albuquerque, NM 87185 USA 20th IAEA Fusion Energy Conference Vilamoura, Portugal 1-6 November 2004 RTL DH

  18. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company Corporation, Albuquerque, NM, USA 15) EG&G, Albuquerque, NM, USA 16) Omicron, Albuquerque, NM, USA 17) Fusion #12;Z-Pinch is the newest of the three major drivers for IFE 1999 Snowmass Fusion Summer Study, IAEA

  19. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy s National Nuclear Security Administration under contract DE-AC04-94AL85000.

    E-Print Network [OSTI]

    Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company85000. Z-Pinch Inertial Fusion Energy Craig L. Olson + Z-IFE Team Sandia National Laboratories Albuquerque, NM 87185 Fusion Power Associates Annual Meeting and Symposium Washington, DC October 11-12, 2005

  20. 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

  1. A priori reformulations for joint rolling-horizon scheduling of materials processing and lot-sizing problem

    E-Print Network [OSTI]

    Clark, Alistair

    ., 2009), glass bottles (Almada-Lobo et al., 2007, 2008), foundries (Araujo et al., 2008; Tonaki company (Stadtler, 2011), and sand casting operations (Hans and Van de Velde, 2011). Most of this rece

  2. Operating System Management of MEMS-based Storage Devices

    E-Print Network [OSTI]

    : Microelectromechanical systems (MEMS), operating systems, secondary storage, request schedul- ing, data placement, faultOperating System Management of MEMS-based Storage Devices John Linwood Gri?n, Steven W. Schlosser University Pittsburgh, PA 15213 Abstract MEMS-based storage devices promise signi#12;cant performance

  3. On Pipelining Dynamic Instruction Scheduling Logic Jared Stark y Mary D. Brown z Yale N. Patt z

    E-Print Network [OSTI]

    Patt, Yale

    On Pipelining Dynamic Instruction Scheduling Logic Jared Stark y Mary D. Brown z Yale N. Patt z operation. Either you sacrifice IPC by pipelin ing this logic, thereby eliminating its ability to execute de pendent instructions in consecutive cycles. Or you sacrifice clock frequency by not pipelining it

  4. 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...

  5. Potential Operation and Maintenance (O&M) Savings in the Clinical Science Building at UTMB

    E-Print Network [OSTI]

    Liu, M.; Athar, A.; Claridge, D. E.; Reddy, T. A.; Haberl, J. S.

    1993-01-01

    This report presents the results of a study of the potential energy savings due to optimizing the Heating, Ventilation and Air Conditioning (HVAC) operation schedule in the Clinical Science Building at University of Texas Medical Brach (UTMB...

  6. Potential Operation and Maintenance (O&M) Savings in the Basic Science Building at UTMB

    E-Print Network [OSTI]

    Liu, M.; Athar, A.; Claridge, D. E.; Reddy, T. A.; Haberl, J. S.

    1993-01-01

    This report presents the results of a study of the potential energy savings due to optimizing the Heating, Ventilation and Air Conditioning (HVAC) operation schedule in the Basic Science Building at University of Texas Medical Branch (UTMB...

  7. 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 »

  8. Status Report on the Development of Micro-Scheduling Software for the Advanced Outage Control Center Project

    SciTech Connect (OSTI)

    Shawn St. Germain; Kenneth Thomas; Ronald Farris; Jeffrey Joe

    2014-09-01

    The long-term viability of existing nuclear power plants (NPPs) in the United States (U.S.) is dependent upon a number of factors, including maintaining high capacity factors, maintaining nuclear safety, and reducing operating costs, particularly those associated with refueling outages. Refueling outages typically take 20-30 days, and for existing light water NPPs in the U.S., the reactor cannot be in operation during the outage. Furthermore, given that many NPPs generate between $1-1.5 million/day in revenue when in operation, there is considerable interest in shortening the length of refueling outages. Yet, refueling outages are highly complex operations, involving multiple concurrent and dependent activities that are difficult to coordinate. Finding ways to improve refueling outage performance while maintaining nuclear safety has proven to be difficult. The Advanced Outage Control Center project is a research and development (R&D) demonstration activity under the Light Water Reactor Sustainability (LWRS) Program. LWRS is a R&D program which works with industry R&D programs to establish technical foundations for the licensing and managing of long-term, safe, and economical operation of current NPPs. The Advanced Outage Control Center project has the goal of improving the management of commercial NPP refueling outages. To accomplish this goal, this INL R&D project is developing an advanced outage control center (OCC) that is specifically designed to maximize the usefulness of communication and collaboration technologies for outage coordination and problem resolution activities. This report describes specific recent efforts to develop a capability called outage Micro-Scheduling. Micro-Scheduling is the ability to allocate and schedule outage support task resources on a sub-hour basis. Micro-Scheduling is the real-time fine-tuning of the outage schedule to react to the actual progress of the primary outage activities to ensure that support task resources are optimally deployed with the least amount of delay and unproductive use of resources. The remaining sections of this report describe in more detail the scheduling challenges that occur during outages, how a Micro-Scheduling capability helps address those challenges, and provides a status update on work accomplished to date and the path forward.

  9. 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

  10. 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

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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)

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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

  2. 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...

  3. 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***...

  4. 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...

  5. 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

  6. 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...

  7. 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....

  8. 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.

  9. Data-driven minimization of pump operating and maintenance cost Zijun Zhang a,n

    E-Print Network [OSTI]

    Kusiak, Andrew

    Data-driven minimization of pump operating and maintenance cost Zijun Zhang a,n , Xiaofei He b the cost of pump operations and maintenance. A neural network algorithm is applied to model performance research seldom considered the interaction between the operation and maintenance scheduling as well

  10. 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

  11. 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,

  12. 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,

  13. 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

  14. Al-Ca and Al-Fe metal-metal composite strength, conductivity, and microstructure relationships

    SciTech Connect (OSTI)

    Kim, Hyong June

    2011-12-01

    Deformation processed metal-metal composites (DMMCs) are composites formed by mechanical working (i.e., rolling, swaging, or wire drawing) of two-phase, ductile metal mixtures. Since both the matrix and reinforcing phase are ductile metals, the composites can be heavily deformed to reduce the thickness and spacing of the two phases. Recent studies have shown that heavily drawn DMMCs can achieve anomalously high strength and outstanding combinations of strength and conductivity. In this study, Al-Fe wire composite with 0.07, 0.1, and 0.2 volume fractions of Fe filaments and Al-Ca wire composite with 0.03, 0.06, and 0.09 volume fractions of Ca filaments were produced in situ, and their mechanical properties were measured as a function of deformation true strain. The Al-Fe composites displayed limited deformation of the Fe phase even at high true strains, resulting in little strengthening effect in those composites. Al-9vol%Ca wire was deformed to a deformation true strain of 13.76. The resulting Ca second-phase filaments were deformed to thicknesses on the order of one micrometer. The ultimate tensile strength increased exponentially with increasing deformation true strain, reaching a value of 197 MPa at a true strain of 13.76. This value is 2.5 times higher than the value predicted by the rule of mixtures. A quantitative relationship between UTS and deformation true strain was determined. X-ray diffraction data on transformation of Al + Ca microstructures to Al + various Al-Ca intermetallic compounds were obtained at the Advanced Photon Source at Argonne National Laboratory. Electrical conductivity was measured over a range of true strains and post-deformation heat treatment schedules.

  15. 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...

  16. operations center

    National Nuclear Security Administration (NNSA)

    servers and other critical Operations Center equipment

  17. Independent air supply system filtered to protect against biological and radiological agents (99.7%).
  18. <...

  19. 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

  20. 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

  21. 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

  22. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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.

  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. INCLEMENT WEATHER Residents/fellows are essential to the daily operation of each hospital and are expected to

    E-Print Network [OSTI]

    Page 140 ` INCLEMENT WEATHER Residents/fellows are essential to the daily operation of each hospital and are expected to report to work when scheduled. In the event of a severe weather condition

  20. 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...

  1. NSTX Program Governance, Research Support and Facility Operation

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    -30, 2008 College W&M Colorado Sch Mines Columbia U Comp-X General Atomics INEL Johns Hopkins U LANL LLNL, Cadarache IPP, Jlich IPP, Garching ASCR, Czech Rep U Quebec Supported by #12;NSTX 2009-13 5 year Plan Milestone performance history Scheduling operation, maintenance & upgrades Managing environment, safety

  2. Vehicle to Grid -A Control Area Operators Perspective

    E-Print Network [OSTI]

    Firestone, Jeremy

    Mexico Nav Glen Four Corners NM Coal Hydro Gas Wind Other Palo Verde AZ Market- place S. NV #12;#12;Key ISO Roles Frequency Monitoring & Time Error Control Scheduling of Power Transfers Grid Planning of experience in dealing with Distributed Resources #12;Wireless Provider Grid Operator Power Command Power

  3. Environmental Conditions for Ocean Drilling Program Operations in

    E-Print Network [OSTI]

    Environmental Conditions for Ocean Drilling Program Operations in the Weddell Sea and Sub Library. #12;ENVIRONMENTAL CONDITIONS FOR OCEAN DRILLING PROGRAM LEG 113 (WEDDELL SEA) AND LEG 114 (SUBANTARCTIC SOUTH ATLANTIC) PROPOSED DRILLING SCHEDULE: JANUARY-APRIL, 1987 MAY 30, 1986 HAN CHOI AMANDA

  4. Net Interchange Schedule Forecasting of Electric Power Exchange for RTO/ISOs

    SciTech Connect (OSTI)

    Ferryman, Thomas A.; Haglin, David J.; Vlachopoulou, Maria; Yin, Jian; Shen, Chao; Tuffner, Francis K.; Lin, Guang; Zhou, Ning; Tong, Jianzhong

    2012-07-26

    Neighboring independent system operators (ISOs) exchange electric power to enable efficient and reliable operation of the grid. Net interchange (NI) schedule is the sum of the transactions (in MW) between an ISO and its neighbors. Effective forecasting of the amount of actual NI can improve grid operation efficiency. This paper presents results of a preliminary investigation into various methods of prediction that may result in improved prediction accuracy. The methods studied are linear regression, forward regression, stepwise regression, and support vector machine (SVM) regression. The work to date is not yet conclusive. The hope is to explore the effectiveness of other prediction methods and apply all methods to at least one new data set. This should enable more confidence in the conclusions.

  5. Energy-optimal schedules of real-time jobs with hard deadlines

    E-Print Network [OSTI]

    George, John Vijoe

    2005-11-01

    OF SCIENCE Approved by: Chair of Committee, Riccardo Bettati Committee Members, Rabi N Mahapatra Norman Guinasso Head of Department, Valerie E Taylor August 2005 Major Subject: Computer Science iii ABSTRACT Energy-Optimal Schedules of Real-Time Jobs with Hard...- straints. This can be used to model variable-capacity facilities in operations re- search, where the capacity of the facility can be controlled at a cost. iv DEDICATION To my Family and Dr. Norman L. Guinasso, Jr. v ACKNOWLEDGMENTS God, Thy deeds are so...

  6. LCLS-schedul_run-II_10_05_6-detail.xls

    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 ScheduleUser-Assisted

  7. Operating Costs

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

    1997-03-28

    This chapter is focused on capital costs for conventional construction and environmental restoration and waste management projects and examines operating cost estimates to verify that all elements of the project have been considered and properly estimated.

  8. Carnegie Mellon Multiperiod Blend Scheduling Problem

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Department of Chemical Engineering Center for Advanced Process Decision-making Carnegie Mellon University operations arises frequently in the petrochemical industry. - Although simple to represent, these models

  9. 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...

  10. Operational Amplifier Design Spring 2010

    E-Print Network [OSTI]

    Leach Jr.,W. Marshall

    ., by Sergio Franco, and notes posted to the class web page. Material Selected parts of Chapters 1 -- 6, 9-Hill, 1973. TK7871.58.06 576 -- D. Stout and M. Kaufman, Handbook of Operational Amplifier Circuit Design Amplifiers, New York: McGraw- Hill, 1973. TK7872.F5 I65 -- D. E. Johnson, et. al., A Handbook of Active

  11. EDS operator and control software

    SciTech Connect (OSTI)

    Ott, L.L.

    1985-04-01

    The Enrichment Diagnostic System (EDS) was developed at Lawrence Livermore National Laboratory (LLNL) to acquire, display and analyze large quantities of transient data for a real-time Advanced Vapor Laser Isotope Separation (AVLIS) experiment. Major topics discussed in this paper are the EDS operator interface (SHELL) program, the data acquisition and analysis scheduling software, and the graphics software. The workstation concept used in EDS, the software used to configure a user's workstation, and the ownership and management of a diagnostic are described. An EDS diagnostic is a combination of hardware and software designed to study specific aspects of the process. Overall system performance is discussed from the standpoint of scheduling techniques, evaluation tools, optimization techniques, and program-to-program communication methods. EDS is based on a data driven design which keeps the need to modify software to a minimum. This design requires a fast and reliable data base management system. A third party data base management product, Berkeley Software System Database, written explicitly for HP1000's, is used for all EDS data bases. All graphics is done with an in-house graphics product, Device Independent Graphics Library (DIGLIB). Examples of devices supported by DIGLIB are: Versatec printer/plotters, Raster Technologies Graphic Display Controllers, and HP terminals (HP264x and HP262x). The benefits derived by using HP hardware and software as well as obstacles imposed by the HP environment are presented in relation to EDS development and implementation.

  12. Design of a Universal Logic Block for Fault-Tolerant Realization of any Logic Operation in Trapped-Ion Quantum Circuits

    E-Print Network [OSTI]

    Hadi Goudarzi; Mohammad Javad Dousti; Alireza Shafaei; Massoud Pedram

    2015-01-12

    This paper presents a physical mapping tool for quantum circuits, which generates the optimal Universal Logic Block (ULB) that can perform any logical fault-tolerant (FT) quantum operations with the minimum latency. The operation scheduling, placement, and qubit routing problems tackled by the quantum physical mapper are highly dependent on one another. More precisely, the scheduling solution affects the quality of the achievable placement solution due to resource pressures that may be created as a result of operation scheduling whereas the operation placement and qubit routing solutions influence the scheduling solution due to resulting distances between predecessor and current operations, which in turn determines routing latencies. The proposed flow for the quantum physical mapper captures these dependencies by applying (i) a loose scheduling step, which transforms an initial quantum data flow graph into one that explicitly captures the no-cloning theorem of the quantum computing and then performs instruction scheduling based on a modified force-directed scheduling approach to minimize the resource contention and quantum circuit latency, (ii) a placement step, which uses timing-driven instruction placement to minimize the approximate routing latencies while making iterative calls to the aforesaid force-directed scheduler to correct scheduling levels of quantum operations as needed, and (iii) a routing step that finds dynamic values of routing latencies for the qubits. In addition to the quantum physical mapper, an approach is presented to determine the single best ULB size for a target quantum circuit by examining the latency of different FT quantum operations mapped onto different ULB sizes and using information about the occurrence frequency of operations on critical paths of the target quantum algorithm to weigh these latencies.

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Operating Strategies

    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 mapSpeeding access toOctober 1996Technologies /JuneOperating Oak Ridge'sOPERATING

  19. 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 ...

  20. 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 ...

  1. 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

  2. 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...

  3. 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

  4. 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:.

  5. 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...

  6. 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...

  7. 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 ...

  8. 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

  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 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

  10. 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 ...

  11. 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

  12. 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

  13. 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).

  14. 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

  15. 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 ...

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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...

  1. 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

  2. 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, ...

  3. Simultaneous Placement and Scheduling of Sensors

    E-Print Network [OSTI]

    phenomena, such as road speeds on a highway, us- ing wireless sensors with limited battery life. A central (Haoui et al., 2008), that provides 30 second aggregate speed, flow and vehicle density measurements every measurement drains the battery. For applications such as road speed monitoring, a minimum battery

  4. Understanding and Dealing with Operator Mistakes in Internet Services Kiran Nagaraja, Fabio Oliveira, Ricardo Bianchini, Richard P. Martin, Thu D. Nguyen

    E-Print Network [OSTI]

    Martin, Richard P.

    ]. In each experiment, an operator must either perform a scheduled maintenance task or a diagnose- and to cover all pos- sible operator tasks or to achieve a complete statistical characterization of operatorUnderstanding and Dealing with Operator Mistakes in Internet Services Kiran Nagaraja, F

  5. 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

  6. Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications

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

    Sankaran, Ramanan; Angel, Jordan; Brown, W. Michael

    2015-04-08

    The growth in size of networked high performance computers along with novel accelerator-based node architectures has further emphasized the importance of communication efficiency in high performance computing. The world's largest high performance computers are usually operated as shared user facilities due to the costs of acquisition and operation. Applications are scheduled for execution in a shared environment and are placed on nodes that are not necessarily contiguous on the interconnect. Furthermore, the placement of tasks on the nodes allocated by the scheduler is sub-optimal, leading to performance loss and variability. Here, we investigate the impact of task placement on themoreperformance of two massively parallel application codes on the Titan supercomputer, a turbulent combustion flow solver (S3D) and a molecular dynamics code (LAMMPS). Benchmark studies show a significant deviation from ideal weak scaling and variability in performance. The inter-task communication distance was determined to be one of the significant contributors to the performance degradation and variability. A genetic algorithm-based parallel optimization technique was used to optimize the task ordering. This technique provides an improved placement of the tasks on the nodes, taking into account the application's communication topology and the system interconnect topology. As a result, application benchmarks after task reordering through genetic algorithm show a significant improvement in performance and reduction in variability, therefore enabling the applications to achieve better time to solution and scalability on Titan during production.less

  7. Operational Impacts of Operating Reserve Demand Curves on Production Cost and Reliability: Preprint

    SciTech Connect (OSTI)

    Krad, Ibrahim; Ibanez, Eduardo; Ela, Erik; Gao, Wenzhong

    2015-10-27

    The electric power industry landscape is continually evolving. As emerging technologies such as wind, solar, electric vehicles, and energy storage systems become more cost-effective and present in the system, traditional power system operating strategies will need to be reevaluated. The presence of wind and solar generation (commonly referred to as variable generation) may result in an increase in the variability and uncertainty of the net load profile. One mechanism to mitigate this is to schedule and dispatch additional operating reserves. These operating reserves aim to ensure that there is enough capacity online in the system to account for the increased variability and uncertainty occurring at finer temporal resolutions. A new operating reserve strategy, referred to as flexibility reserve, has been introduced in some regions. A similar implementation is explored in this paper, and its implications on power system operations are analyzed.

  8. Sandia is a multi-program laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000 Microfabricated Surface Electrode Ion Tr

    E-Print Network [OSTI]

    Hensinger, Winfried

    , for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL

  9. Operation Poorman

    SciTech Connect (OSTI)

    Pruvost, N.; Tsitouras, J.

    1981-03-18

    The objectives of Operation Poorman were to design and build a portable seismic system and to set up and use this system in a cold-weather environment. The equipment design uses current technology to achieve a low-power, lightweight system that is configured into three modules. The system was deployed in Alaska during wintertime, and the results provide a basis for specifying a mission-ready seismic verification system.

  10. RCRA and Operational Monitoring (ROM). Multi-Year Program Plan and Fiscal Year 95 Work Plan WBS 1.5.3

    SciTech Connect (OSTI)

    Not Available

    1994-09-17

    This document contains information concerning the RCRA and Operational Monitoring Program at Hanford Reservation. Information presented includes: Schedules for ground water monitoring activities, program cost baseline, program technical baseline, and a program milestone list.

  11. Operations Information

    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 mapSpeeding access toOctober 1996Technologies /JuneOperating Oakoak ridge

  12. Operations Office

    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 mapSpeeding access toOctober 1996Technologies /JuneOperating Oakoak

  13. Operations managers conference: summary of proceedings

    SciTech Connect (OSTI)

    None,

    1982-02-01

    The Association for Energy Systems, Operations, and Programming (AESOP) was created to provide Department of Energy (DOE) and DOE-contractor management personnel with a means for acquiring and exchanging information concerning effective management of ADP resources and personnel as well as a variety of computer applications. AESOP serves as a forum for the data processing management of more than 50 DOE offices and private corporations under contract to DOE. AESOP Operations Managers Conferences are held approximately every 18 months. Conference topics include personnel problems, training situations, reorganization plans, and work scheduling. Security and other issues affecting ADP procedures and personnel are also often addressed. Papers published in this volume of the proceedings have been summarized from speeches and discussions that were presented at the seventh AESOP Operations Managers Conference.

  14. Planning and Scheduling Surgeries under Stochastic Environment

    E-Print Network [OSTI]

    Choi, Sangdo 1971-

    2012-08-15

    Stochastic Integer Programming NV-CA News Vendor Capacity Allocation NV-SIP News Vendor Stochastic Integer Programming OR Operating Room OTP Overtime Penalty PACU Post Anesthesia Care Unit SICU Surgical Intensive Care Unit SIP Stochastic Integer... Vendor-based Capacity Allocation (NV-CA) . . . . . . . 26 3.2.2 News Vendor-based Heuristic (NV-SIP) . . . . . . . . . . . . . 28 3.2.3 Stochastic Integer Programming (SIP) . . . . . . . . . . . . . 29 3.2.4 Stochastic Integer Programming without...

  15. Load Schedule Coordination for a Large Linear Accelerator: An Operation Powerplay Concept

    E-Print Network [OSTI]

    Johnson, W. H.

    1984-01-01

    -power from Federal power projects, and the Los Alamos National Laboratory (LANL) at Los Alamos, New Mexico. With this variation, only the portion of LANL's total load requirement for the Linear Accelerator at the Meson Physics Facility is targeted...

  16. TO BE PUBLISHED IN OPERATIONS RESEARCH LETTERS ) Algorithm for Preemptive Scheduling of a Single

    E-Print Network [OSTI]

    , Université de Technologie de Compiègne and Bouygues, Direction des Technologies Nouvelles 1 Address

  17. Oversight Scheduling and Operational Awareness at the Savannah River Site, March 2013

    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 nAandSummary Areas of the countryofPROGRAMBetter Buildings

  18. Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 3,

    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-inPPLfor InnovativeProcessing22,673, proposedJanuary and February 2006 |

  19. Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4,

    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-inPPLfor InnovativeProcessing22,673, proposedJanuary and February 2006

  20. LCLS Operations Schedule January February March April May June July August September October November December

    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 Job EventpopLA349226762 Co4F49.0.27441172

  1. Al Ogletree & Bob Tankersley

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    the installation and proper utilization of an EMCS.5 The objective of this report is to determine how successful Energy Management Control Systems have been in reducing energy consumption. 1 Claridge, D.E., et al 1994. "Energy retrofits can cut use and costs...." Mechanical Engineering, August, pp. 64-67. 2 Editor, 1991. Buildings, December, p. 16. 3 Editor, 1992. Buildings, September, p. 34. 4Mumford, S., 1994. Buildings, February, pp. 38-41. 5 Editor, 1993. Buildings, May, p 38. 1 The LoanSTAR Program6 In 1988...

  2. ALS Activity Reports

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N I T E D S TALPES20thALS

  3. ALS Beamlines Directory

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N I T E D SALS BeamlinesALS

  4. ALS User Meeting Archives

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N ISpectrum Print BegunALS User

  5. ALS Users' Association Charter

    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 HomeA Better Anode Design to Improve4AJ01) (See Energy Level79AJ01)19^ U N ISpectrum Print BegunALS

  6. ALS Beamlines Directory

    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.TheoryTuesday, August 10, 20102016 News BelowAskedAIKEN TECHNICALArgonneALS Beamlines

  7. ALS Beamlines Directory

    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.TheoryTuesday, August 10, 20102016 News BelowAskedAIKEN TECHNICALArgonneALS

  8. ALS Postdoctoral Fellowship Highlights

    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.TheoryTuesday, August 10, 20102016 News BelowAskedAIKENALSDoctoralALS

  9. ALS Users' Association Charter

    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.TheoryTuesday, August 10, 20102016 NewsUsers' Executive Committee ALS Users'

  10. ALS Beamlines Directory

    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 of rare Kaonforsupernovae2 Publications6 SmartInformation A toBeamlinesALS

  11. ALS Communications Group

    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 of rare Kaonforsupernovae2 Publications6 SmartInformation A toBeamlinesALS

  12. ALS in the News

    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 of rare Kaonforsupernovae2 Publications6 SmartInformation Afeed-imageALS

  13. About the ALS

    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 of raregovAboutRecovery Act Recovery ActARM OverviewAbout GEDOEaboutUs |ALS

  14. Access to the ALS

    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 of raregovAboutRecovery Act Recovery ActARMAccelerators,Access to the ALS

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

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    and Operation of Distributed Energy Systems, Computer AidedE. Pouresmaeil, Distributed energy resources and benefitsoptimisation of distributed energy systems, Applied Thermal

  16. SAFETY MANAGEMENT MANUAL OSU SHIP OPERATIONS

    E-Print Network [OSTI]

    Kurapov, Alexander

    and certified periodically. These tests are typically scheduled during shipyard maintenance periods. 6

  17. 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...

  18. 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

  19. 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...

  20. 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...

  1. 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

  2. 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

  3. 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

  4. Integrating Solar PV in Utility System Operations

    SciTech Connect (OSTI)

    Mills, A.; Botterud, A.; Wu, J.; Zhou, Z.; Hodge, B-M.; Heany, M.

    2013-10-31

    This study develops a systematic framework for estimating the increase in operating costs due to uncertainty and variability in renewable resources, uses the framework to quantify the integration costs associated with sub-hourly solar power variability and uncertainty, and shows how changes in system operations may affect these costs. Toward this end, we present a statistical method for estimating the required balancing reserves to maintain system reliability along with a model for commitment and dispatch of the portfolio of thermal and renewable resources at different stages of system operations. We estimate the costs of sub-hourly solar variability, short-term forecast errors, and day-ahead (DA) forecast errors as the difference in production costs between a case with realistic PV (i.e., subhourly solar variability and uncertainty are fully included in the modeling) and a case with well behaved PV (i.e., PV is assumed to have no sub-hourly variability and can be perfectly forecasted). In addition, we highlight current practices that allow utilities to compensate for the issues encountered at the sub-hourly time frame with increased levels of PV penetration. In this analysis we use the analytical framework to simulate utility operations with increasing deployment of PV in a case study of Arizona Public Service Company (APS), a utility in the southwestern United States. In our analysis, we focus on three processes that are important in understanding the management of PV variability and uncertainty in power system operations. First, we represent the decisions made the day before the operating day through a DA commitment model that relies on imperfect DA forecasts of load and wind as well as PV generation. Second, we represent the decisions made by schedulers in the operating day through hour-ahead (HA) scheduling. Peaking units can be committed or decommitted in the HA schedules and online units can be redispatched using forecasts that are improved relative to DA forecasts, but still imperfect. Finally, we represent decisions within the operating hour by schedulers and transmission system operators as real-time (RT) balancing. We simulate the DA and HA scheduling processes with a detailed unit-commitment (UC) and economic dispatch (ED) optimization model. This model creates a least-cost dispatch and commitment plan for the conventional generating units using forecasts and reserve requirements as inputs. We consider only the generation units and load of the utility in this analysis; we do not consider opportunities to trade power with neighboring utilities. We also do not consider provision of reserves from renewables or from demand-side options. We estimate dynamic reserve requirements in order to meet reliability requirements in the RT operations, considering the uncertainty and variability in load, solar PV, and wind resources. Balancing reserve requirements are based on the 2.5th and 97.5th percentile of 1-min deviations from the HA schedule in a previous year. We then simulate RT deployment of balancing reserves using a separate minute-by-minute simulation of deviations from the HA schedules in the operating year. In the simulations we assume that balancing reserves can be fully deployed in 10 min. The minute-by-minute deviations account for HA forecasting errors and the actual variability of the load, wind, and solar generation. Using these minute-by-minute deviations and deployment of balancing reserves, we evaluate the impact of PV on system reliability through the calculation of the standard reliability metric called Control Performance Standard 2 (CPS2). Broadly speaking, the CPS2 score measures the percentage of 10-min periods in which a balancing area is able to balance supply and demand within a specific threshold. Compliance with the North American Electric Reliability Corporation (NERC) reliability standards requires that the CPS2 score must exceed 90% (i.e., the balancing area must maintain adequate balance for 90% of the 10-min periods). The combination of representing DA forecast errors in the

  5. 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

  6. 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

  7. 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

  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. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Operations experience at the Bevalac radiotherapy facility

    SciTech Connect (OSTI)

    Alonso, J.R.; Criswell, T.L.; Howard, J.; Chu, W.T.; Singh, R.P.; Geller, D.; Nyman, M.

    1981-03-01

    During the first years of Bevalac operation the biomedical effort concentrated on radiobiology work, laying the foundation for patient radiotherapy. A dedicated radiotherapy area was created in 1978, and in 1979 full-scale patient treatment was begun. As of now over 500 treatments with carbon, neon and argon beams have been delivered to about 50 patients, some as boosts from other modalities and some as complete heavy ion treatments. Up to 12 patients per day have been treated in this facility. Continuing efforts in refining techniques and operating procedures are increasing efficiency and accuracy of treatments, and are contributing to the alleviation of scheduling difficulties caused by the unique requirements of radiotherapy with human patients.

  20. 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

  1. 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

  2. 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...

  3. Optically pumped cerium-doped LiSrAlF{sub 6} and LiCaAlF{sub 6}

    DOE Patents [OSTI]

    Marshall, C.D.; Payne, S.A.; Krupke, W.F.

    1996-05-14

    Ce{sup 3+}-doped LiSrAlF{sub 6} crystals are pumped by ultraviolet light which is polarized along the c axis of the crystals to effectively energize the laser system. In one embodiment, the polarized fourth harmonic light output from a conventional Nd:YAG laser operating at 266 nm is arranged to pump Ce:LiSrAlF{sub 6} with the pump light polarized along the c axis of the crystal. The Ce:LiSrAlF{sub 6} crystal may be placed in a laser cavity for generating tunable coherent ultraviolet radiation in the range of 280-320 nm. Additionally, Ce-doped crystals possessing the LiSrAlF{sub 6} type of chemical formula, e.g. Ce-doped LiCaAlF{sub 6} and LiSrGaF{sub 6}, can be used. Alternative pump sources include an ultraviolet-capable krypton or argon laser, or ultraviolet emitting flashlamps. The polarization of the pump light will impact operation. The laser system will operate efficiently when light in the 280-320 nm gain region is injected or recirculated in the system such that the beam is also polarized along the c axis of the crystal. The Ce:LiSrAlF{sub 6} laser system can be configured to generate ultrashort pulses, and it may be used to pump other devices, such as an optical parametric oscillator. 10 figs.

  4. Optically pumped cerium-doped LiSrAlF.sub.6 and LiCaAlF.sub.6

    DOE Patents [OSTI]

    Marshall, Christopher D. (Livermore, CA); Payne, Stephen A. (Castro Valley, CA); Krupke, William F. (Pleasanton, CA)

    1996-01-01

    Ce.sup.3+ -doped LiSrAlF.sub.6 crystals are pumped by ultraviolet light which is polarized along the c axis of the crystals to effectively energize the laser system. In one embodiment, the polarized fourth harmonic light output from a conventional Nd:YAG laser operating at 266 nm is arranged to pump Ce:LiSrAlF.sub.6 with the pump light polarized along the c axis of the crystal. The Ce:LiSrAlF.sub.6 crystal may be placed in a laser cavity for generating tunable coherent ultraviolet radiation in the range of 280-320 nm. Additionally, Ce-doped crystals possessing the LiSrAlF.sub.6 type of chemical formula, e.g. Ce-doped LiCaAlF.sub.6 and LiSrGaF.sub.6, can be used. Alternative pump sources include an ultraviolet-capable krypton or argon laser, or ultraviolet emitting flashlamps. The polarization of the pump light will impact operation. The laser system will operate efficiently when light in the 280-320 nm gain region is injected or recirculated in the system such that the beam is also polarized along the c axis of the crystal. The Ce:LiSrAlF.sub.6 laser system can be configured to generate ultrashort pulses, and it may be used to pump other devices, such as an optical parametric oscillator.

  5. A VIRTUAL OPERATING SYSTEM

    E-Print Network [OSTI]

    Hall, Dennis E.

    2013-01-01

    Unix time-sharing operating system. D. Hall, D. Scherrer, J.Prentice~Hall, Hansen, "Operating System Principles", Inc. ,of California. A Virtual Operating System Dennis E. Hall

  6. The U5. 0 Undulator for the ALS

    SciTech Connect (OSTI)

    Hoyer, E.; Chin, J.; Halbach, K.; Hassenzahl, W.V.; Humphries, D.; Kincaid, B.; Lancaster, H.; Plate, D.

    1991-05-01

    The U5.0 Undulator, an 89 period, 5 cm period length, 4.6 m long insertion device has been designed and is in fabrication. This undulator will be the first high brightness source, in the 50 to 1500 eV range, for the Advanced Light Source (ALS) and is scheduled for completion in 1992. A modular hybrid configuration utilizing Nd-Fe-B permanent magnet material and vanadium permendur is used that achieves 0.837 Tesla effective peak field. Correction of the vertical field integral is with permanent magnet rotors at the ends. Gap adjustment is with an arrangement of roller screws, chains drives, a gear reduction unit and a stepper motor driven by a closed loop control system. The vacuum chamber design is a two-piece, machined and welded 5083-H321 aluminum construction of 5.1 m length. Magnetic design, subsystem design and fabrication progress are presented. 12 refs., 4 figs., 2 tabs.

  7. Formal Specification of Operating System Operations

    E-Print Network [OSTI]

    Black, Paul E.

    Formal Specification of Operating System Operations Dan Zhou Department of Computer Science.black@nist.gov This paper describes the development of a formal specification for a secure operating system architecture operations. We also provide a uniform environment for system commands that change the security state

  8. Remote Operation of the Fermilab/NICADD Photoinjector

    SciTech Connect (OSTI)

    Nikolai Barov et al.

    2002-03-21

    The recognition that a new major HEP facility must receive international support and that its execution would benefit from worldwide interaction from design through operation has given rise to the term Global Accelerator Network (GAN). A welcome consequence has been a more permissive attitude toward remote operation of existing facilities.For roughly thirty years, the computer has been the principal operator interface to the beam,and, through the development of the Internet, the operator can be literally anywhere. In this note, the authors describe their approach to enabling a sufficient degree of operation of the photoinjector from afar in order to carry out investigations in beam physics. The goal was to do so on a time scale of a few months and at minimal cost. At this writing, remote shifts are routinely scheduled involving DESY and LBL, limited in frequency only by the requests of the collaborators and by the need for time to interpret the data.

  9. Ann Oper Res DOI 10.1007/s10479-006-0017-8

    E-Print Network [OSTI]

    Cavique, Lus

    Vasconcelos, 1500 Lisboa, Portugal e-mail: lcavique@escs.ipl.pt Springer #12;Ann Oper Res The solution of CSP of these is to act as cover crews, ready to replace scheduled crews who fail to report for work. The time the crews

  10. Combining Optimization and Simulation for Strategic and Operational Industrial Gas Production and Distribution

    E-Print Network [OSTI]

    Linderoth, Jeffrey T.

    Combining Optimization and Simulation for Strategic and Operational Industrial Gas Production-wide Optimization; Simulation Optimization; 1 Introduction Liquid oxygen (lox) and liquid nitrogen (lni and complicated. This leads to a natural question of why the schedule adjustment is so often necessary

  11. An Approach of Modeling, Monitoring and Managing Business Operations for Just-In-Time Manufacturing

    E-Print Network [OSTI]

    Li, Haifei

    An Approach of Modeling, Monitoring and Managing Business Operations for Just-In-Time Manufacturing execution and monitoring for the JIT (Just In Time) schedule execution. JIT is a manufacturing method to change their manufacturing orders. When a manufacturer receives an order change request, the manufacturer

  12. Gas Release During Saltwell Pumping: Interpretation of Operational Data

    SciTech Connect (OSTI)

    J.L. Huckaby; L.M. Peurrung; P.A. Gauglitz

    1999-09-16

    The Hanford Site has 149 single-shell tanks (SSTs) containing radioactive waste that is a complex mix of radioactive and chemical products. Of these, 67 are known or suspected to have leaked liquid into the surrounding soil, while 82 are considered sound (Hanlon 1999). To minimize the amount of material that potentially could leak into the surrounding soil, all of the SSTs are scheduled to have drainable liquid removed and to be designated as interim stabilized. Of the SSTs, 119 have been declared stabilized, and only 30 require further processing (Hanlon 1999). Many of the tanks have been declared stabilized administratively, with only 45 tanks having had drainable liquid removed. The pending consent decree between the Washington State Department of Ecology and the Office of River Protection. (U.S. District Court Eastern District of Washington, 1999) sets a milestone to complete interim stabilization by September 2004. While process equipment exists for removing drainable liquid, and its operation is well known from previous pumping campaigns, a number of safety issues associated with the release and potential ignition of flammable gases within the tanks needs to be addressed. The safety concerns associated with flammable gases stem from the observation that some of the waste in the SSTs generates and retains hazardous quantities of flammable gases, including hydrogen, nitrous oxide, and ammonia. Of the 30 SSTs remaining to be declared interim stabilized, 29 need to have drainable liquid removed by saltwell pumping (waste in tank 241-C-106 will be removed by sluicing), and 16 of these are on the Flammable Gas Watch List (FGWL) (Hopkins 1995; Hanlon 1999). Most of these tanks are in Facility Group 2 (Noorani 1997); that is, it is believed that tank operations may induce the release of significant quantities of flammable gas, but gas release does not occur spontaneously. In particular, saltwell pumping to remove the interstitial liquid from SSTs is expected to cause the release of much of the retained gas, both insoluble (principally hydrogen) and soluble (principally ammonia), posing a number of safety concerns (Peurrung et al. 1997; Meader 1996).

  13. Al Geist | ornl.gov

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

    and research organizations. Al continues to work with researchers in DOE as well as industry to improve the capabilities of electronic notebook software. Among his numerous...

  14. ALS Scientific Advisory Committee Charter

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

    Scientific Advisory Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is...

  15. ALS Scientific Advisory Committee Charter

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

    Committee Charter Print This document was revised and approved December 18, 2008. I. FUNCTION AND REPORTING The ALS Scientific Advisory Committee (SAC) is advisory to the...

  16. ALS Evidence Confirms Combustion Theory

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

    ALS Evidence Confirms Combustion Theory Print Researchers recently uncovered the first step in the process that transforms gas-phase molecules into solid particles like soot and...

  17. ALS Evidence Confirms Combustion Theory

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

    Evidence Confirms Combustion Theory ALS Evidence Confirms Combustion Theory Print Wednesday, 22 October 2014 11:43 Researchers recently uncovered the first step in the process that...

  18. 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.

  19. An ALS (Advanced Light Source) handbook

    SciTech Connect (OSTI)

    Not Available

    1988-11-01

    This booklet aims to provide the prospective user of the Advanced Light Source with a concise description of the radiation a researcher might expect at his or her experimental station. The focus is therefore on the characteristics of the light that emerges from insertion devices and bending magnets and on how components of the beam lines further alter the properties of the radiation. The specifications and operating parameters of the ALS injection system and storage ring are of only peripheral interest. To this end, Sections 3 and 5 and most of Section 4 are devoted to summary presentations, by means of performance plots and tabular compilations, of radiation characteristics at the ALS--spectral brightness, flux, coherent power, resolution, time structure, etc.--assuming a representative set of four undulators and one wiggler and a corresponding set of five beam lines. As a complement to these performance summaries, Section 1 is a general introductory discussion of synchrotron radiation and the ALS, and Section 2 provides a compendious introduction to the characteristics of synchrotron radiation from bending magnets, wigglers, and undulators. In addition, Section 4 briefly introduces the theory of diffraction grating and crystal monochromators. 15 refs., 28 figs., 5 tabs.

  20. 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

  1. 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

  2. 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 |

  3. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE: Preprint

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B. M.

    2014-09-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This study examines the value of improved solar power forecasting for the Independent System Operator-New England system. The results show how 25% solar power penetration reduces net electricity generation costs by 22.9%.

  4. Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE (Presentation)

    SciTech Connect (OSTI)

    Brancucci Martinez-Anido, C.; Florita, A.; Hodge, B.M.

    2014-11-01

    The diurnal nature of solar power is made uncertain by variable cloud cover and the influence of atmospheric conditions on irradiance scattering processes. Its forecasting has become increasingly important to the unit commitment and dispatch process for efficient scheduling of generators in power system operations. This presentation is an overview of a study that examines the value of improved solar forecasts on Bulk Power System Operations.

  5. STANDARD OPERATING PROTOCOLS FOR DECOMMISSIONING

    SciTech Connect (OSTI)

    Foss, D. L.; Stevens, J. L.; Gerdeman, F. W.

    2002-02-25

    Decommissioning projects at Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) sites are conducted under project-specific decision documents, which involve extensive preparation time, public comment periods, and regulatory approvals. Often, the decision documents must be initiated at least one year before commencing the decommissioning project, and they are expensive and time consuming to prepare. The Rocky Flats Environmental Technology Site (RFETS) is a former nuclear weapons production plant at which hazardous substances and wastes were released or disposed during operations. As a result of the releases, RFETS was placed on the National Priorities List in 1989, and is conducting cleanup activities under a federal facilities compliance agreement. Working closely with interested stakeholders and state and federal regulatory agencies, RFETS has developed and implemented an improved process for obtaining the approvals. The key to streamlining the approval process has been the development of sitewide decision documents called Rocky Flats Cleanup Agreement Standard Operating Protocols or ''RSOPs.'' RSOPs have broad applicability, and could be used instead of project-specific documents. Although no two decommissioning projects are exactly the same and they may vary widely in contamination and other hazards, the basic steps taken for cleanup are usually similar. Because of this, using RSOPs is more efficient than preparing a separate project-specific decision documents for each cleanup action. Over the Rocky Flats cleanup life cycle, using RSOPs has the potential to: (1) Save over 5 million dollars and 6 months on the site closure schedule; (2) Eliminate preparing one hundred and twenty project-specific decision documents; and (3) Eliminate writing seventy-five closure description documents for hazardous waste unit closure and corrective actions.

  6. Hanford Environmental Information System (HEIS) Operator`s Manual. Volume 1

    SciTech Connect (OSTI)

    Schreck, R.I.

    1991-10-01

    The Hanford Environmental Information System (HEIS) is a consolidated set of automated resources that effectively manage the data gathered during environmental monitoring and restoration of the Hanford Site. The HEIS includes an integrated database that provides consistent and current data to all users and promotes sharing of data by the entire user community. This manual describes the facilities available to the operational user who is responsible for data entry, processing, scheduling, reporting, and quality assurance. A companion manual, the HEIS User`s Manual, describes the facilities available-to the scientist, engineer, or manager who uses the system for environmental monitoring, assessment, and restoration planning; and to the regulator who is responsible for reviewing Hanford Site operations against regulatory requirements and guidelines.

  7. Use of look-ahead modeling in pipeline operations

    SciTech Connect (OSTI)

    Wray, B.; O`Leary, C.

    1995-12-31

    Amoco Canada Petroleum Company, Ltd. operates the Cochin pipeline system. Cochin pumps batched liquid ethane, propane, ethylene, butane, and NGL. Operating and scheduling this pipeline is very complex. There are safety considerations, especially for ethylene, which cannot be allowed to drop below vapor pressure. Amoco Canada needs to know where batches are in the line, what pressure profiles will look like into the future, and when batches arrive at various locations along the line. In addition to traditional instrumentation and SCADA, Amoco Canada uses modeling software to help monitor and operate the Cochin pipeline. Two important components of the modeling system are the Estimated Time of Arrival (ETA) and Predictive Model (PM) modules. These modules perform look ahead modeling to assist in operating the Cochin pipeline. The modeling software was first installed for the Cochin system in February of 1994, and was commissioned on August 1, 1994. This paper will discuss how the look ahead modules are used for the Cochin pipeline.

  8. 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.

  9. Applications of Optimal Building Energy System Selection and Operation

    SciTech Connect (OSTI)

    Marnay, Chris; Stadler, Michael; Siddiqui, Afzal; DeForest, Nicholas; Donadee, Jon; Bhattacharya, Prajesh; Lai, Judy

    2011-04-01

    Berkeley Lab has been developing the Distributed Energy Resources Customer Adoption Model (DER-CAM) for several years. Given load curves for energy services requirements in a building microgrid (u grid), fuel costs and other economic inputs, and a menu of available technologies, DER-CAM finds the optimum equipment fleet and its optimum operating schedule using a mixed integer linear programming approach. This capability is being applied using a software as a service (SaaS) model. Optimisation problems are set up on a Berkeley Lab server and clients can execute their jobs as needed, typically daily. The evolution of this approach is demonstrated by description of three ongoing projects. The first is a public access web site focused on solar photovoltaic generation and battery viability at large commercial and industrial customer sites. The second is a building CO2 emissions reduction operations problem for a University of California, Davis student dining hall for which potential investments are also considered. And the third, is both a battery selection problem and a rolling operating schedule problem for a large County Jail. Together these examples show that optimization of building u grid design and operation can be effectively achieved using SaaS.

  10. 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.

  11. 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.

  12. Heat Transfer Operators Associated with Quantum Operations

    E-Print Network [OSTI]

    . Aksak; S. Turgut

    2011-04-14

    Any quantum operation applied on a physical system is performed as a unitary transformation on a larger extended system. If the extension used is a heat bath in thermal equilibrium, the concomitant change in the state of the bath necessarily implies a heat exchange with it. The dependence of the average heat transferred to the bath on the initial state of the system can then be found from the expectation value of a hermitian operator, which is named as the heat transfer operator (HTO). The purpose of this article is the investigation of the relation between the HTOs and the associated quantum operations. Since, any given quantum operation on a system can be realized by different baths and unitaries, many different HTOs are possible for each quantum operation. On the other hand, there are also strong restrictions on the HTOs which arise from the unitarity of the transformations. The most important of these is the Landauer erasure principle. This article is concerned with the question of finding a complete set of restrictions on the HTOs that are associated with a given quantum operation. An answer to this question has been found only for a subset of quantum operations. For erasure operations, these characterizations are equivalent to the generalized Landauer erasure principle. For the case of generic quantum operations however, it appears that the HTOs obey further restrictions which cannot be obtained from the entropic restrictions of the generalized Landauer erasure principle.

  13. DE-EM-0001971 WIPP M&O H-i PART I -THE SCHEDULE

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

    to the start of each Fiscal Year, DOE shall provide the Contractor program execution guidance in sufficient detail to develop an estimated cost, scope, and schedule. The...

  14. A Methodology to Analyze the Impact of 30-Minute Wind Scheduling on Load-Following Requirements

    SciTech Connect (OSTI)

    Diao, Ruisheng; Makarov, Yuri V.; Samaan, Nader A.; Kujala, Ben

    2014-12-24

    This paper proposes a new and systematic approach to investigating the impact of wind transfer between balancing authorities (BAs) with half-hour scheduling on load following requirements, which was traditionally scheduled on an hourly basis. The analysis is conducted for a few BAs in the Pacific Northwest of the U.S. that are described as source BAs (sending renewables) and sink BAs (receiving renewables). The main hypothesis is that if the source BA could schedule interchange for wind on a half-hourly basis, it would make the schedule follow its net load more closely. The scheduling change in the source BA is matched by adding the corresponding component to the net load in the sink BA. The load-following requirements are calculated as: (a) by the difference between the net load and modified schedule in the source BA, and (b) the difference between modified net load and unchanged hourly schedule in the sink BA. Results are presented as hourly upward and downward load following requirements in the source and sink BA, and compared with the results obtained with all generators scheduled on an hourly basis. Thus, the proposed method can effectively help utilities better understand the impact of 30-minute scheduling and make better business decisions.

  15. An Integrated Approach to Locality-Conscious Processor Allocation and Scheduling of Mixed-Parallel Applications

    SciTech Connect (OSTI)

    Vydyanathan, Naga; Krishnamoorthy, Sriram; Sabin, Gerald M.; Catalyurek, Umit V.; Kurc, Tahsin; Sadayappan, Ponnuswamy; Saltz, Joel H.

    2009-08-01

    Complex parallel applications can often be modeled as directed acyclic graphs of coarse-grained application-tasks with dependences. These applications exhibit both task- and data-parallelism, and combining these two (also called mixedparallelism), has been shown to be an effective model for their execution. In this paper, we present an algorithm to compute the appropriate mix of task- and data-parallelism required to minimize the parallel completion time (makespan) of these applications. In other words, our algorithm determines the set of tasks that should be run concurrently and the number of processors to be allocated to each task. The processor allocation and scheduling decisions are made in an integrated manner and are based on several factors such as the structure of the taskgraph, the runtime estimates and scalability characteristics of the tasks and the inter-task data communication volumes. A locality conscious scheduling strategy is used to improve inter-task data reuse. Evaluation through simulations and actual executions of task graphs derived from real applications as well as synthetic graphs shows that our algorithm consistently generates schedules with lower makespan as compared to CPR and CPA, two previously proposed scheduling algorithms. Our algorithm also produces schedules that have lower makespan than pure taskand data-parallel schedules. For task graphs with known optimal schedules or lower bounds on the makespan, our algorithm generates schedules that are closer to the optima than other scheduling approaches.

  16. Scheduling on a single machine under time-of-use electricity tariffs

    E-Print Network [OSTI]

    Apr 10, 2014 ... Abstract: We consider the problem of scheduling jobs on a single machine to minimize the total electricity cost of processing these jobs under...

  17. RE-SCHEDULED FROM JAN 22 TO JAN 28 - COLLOQUIUM: Addressing Big...

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

    Colloquia MBG Auditorium RE-SCHEDULED FROM JAN 22 TO JAN 28 - COLLOQUIUM: Addressing Big Data Challenges in Simulation-based Science Professor Manish Parashar Rutgers...

  18. Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit Scheduling

    E-Print Network [OSTI]

    Dessouky, Maged

    Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit-cycle environmental consequences in vehicle routing and scheduling, which we develop for a demand- responsive

  19. Estimating the likelihood of weather criteria exceedance during marine operations

    SciTech Connect (OSTI)

    Brabazon, P.G. [Four Elements Ltd., London (United Kingdom); Gudmestad, O.T. [Statoil, Stavanger (Norway); Hopkins, J.S.

    1996-12-31

    This paper describes an approach to estimating the probability of marine operations being exposed to unsafe weather conditions. Marine operations, both inshore and offshore, are normally sensitive to environmental conditions. For the majority of operations threshold weather criteria will be predefined. An estimate of the likelihood of the operation experiencing bad weather, taking into account the uncertainties in weather forecasting, is of great value. The method is intended to be used as part of a risk assessment of marine operations, enabling the impact of design and scheduling decisions to be assessed in a structured and systematic way. The method has two components. Firstly, the time to complete an operation is defined in the form of a probability/time distribution. This is done by analyzing the duration of the tasks within the operation and identifying possible causes of delays. The likelihood and duration of each delay is estimated. Secondly, a probability/time curve is defined for the weather conditions exceeding the predefined threshold. The curve is determined by reference to the location of the marine operation, the time of year of the operation, the initial weather conditions and the accuracy of weather forecasting. Using the two probability/time curves, the likelihood of exposure is calculated.

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

    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-Inspired SolarAbout / TransformingTransuranic SolicitationTribologySchedule FY