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Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

2

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

3

24 Hour Day-Ahead Reactive Power Forecasting and Optimal Scheduling  

Science Conference Proceedings (OSTI)

Reactive power management affects not only the system voltage profiles but also system efficiencies. Changes in the flow of reactive power have an influence on system losses. Reactive power forecasting and optimal scheduling of power system control elements can be conducted to efficiently and reliably transfer power across the system. The tool discussed in this report optimizes the power system to produce a security-constrained case, reduce losses, increase reactive reserve, and securely maintain ...

2013-12-29T23:59:59.000Z

4

Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Schedules Schedules Schedules Print Current Long-Term Operating Schedule August-December 2013 Upcoming Long-Term Operating Schedule January-July 2014 New! ALS Operating Schedule on Google Calendar Past Long-Term Operating Schedules January-July 2013 July-December 2012 January-June 2012 July-December 2011 January-June 2011 July-December 2010 January-June 2010 July-December 2009 January-June 2009 July-December 2008 January-June 2008 July-December 2007 February-June 2007 July 2006-February 2007 January-June 2006 July-December 2005 January-June 2005 June-December 2004 December 2003-May 2004 June 2003-November 2003 December 2002-May 2003 June 2002-November 2002 December 2001-May 2002 May 2001-December 2001 January 2001-April 2001 July 2000-December 2000 January 2000-June 2000 April 1999-December 1999

5

Abstract--Efficient scheduling for heterogeneous fractional lambda switching (FS) networks is required but  

E-Print Network (OSTI)

rates. Moreover, when non-immediate forwarding (NIF) is used in FS, it increases the scheduling complexity exponentially, while decreasing the blocking probability. Thus, NIF scheduling presents a serious forwarding - IF or (2) non- immediate forwarding ­ NIF (see Section II.B). We address the NIF scenarios since

Baldi, Mario

6

Rate Schedules  

Energy.gov (U.S. Department of Energy (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...

7

Lead Coolant Test Facility Technical and Functional Requirements, Conceptual Design, Cost and Construction Schedule  

Science Conference Proceedings (OSTI)

This report presents preliminary technical and functional requirements (T&FR), thermal hydraulic design and cost estimate for a lead coolant test facility. The purpose of this small scale facility is to simulate lead coolant fast reactor (LFR) coolant flow in an open lattice geometry core using seven electrical rods and liquid lead or lead-bismuth eutectic. Based on review of current world lead or lead-bismuth test facilities and research need listed in the Generation IV Roadmap, five broad areas of requirements of basis are identified: Develop and Demonstrate Prototype Lead/Lead-Bismuth Liquid Metal Flow Loop Develop and Demonstrate Feasibility of Submerged Heat Exchanger Develop and Demonstrate Open-lattice Flow in Electrically Heated Core Develop and Demonstrate Chemistry Control Demonstrate Safe Operation and Provision for Future Testing. These five broad areas are divided into twenty-one (21) specific requirements ranging from coolant temperature to design lifetime. An overview of project engineering requirements, design requirements, QA and environmental requirements are also presented. The purpose of this T&FRs is to focus the lead fast reactor community domestically on the requirements for the next unique state of the art test facility. The facility thermal hydraulic design is based on the maximum simulated core power using seven electrical heater rods of 420 kW; average linear heat generation rate of 300 W/cm. The core inlet temperature for liquid lead or Pb/Bi eutectic is 420oC. The design includes approximately seventy-five data measurements such as pressure, temperature, and flow rates. The preliminary estimated cost of construction of the facility is $3.7M. It is also estimated that the facility will require two years to be constructed and ready for operation.

Soli T. Khericha

2006-09-01T23:59:59.000Z

8

Rate schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Firm Power Service Provided by Rate/Charges Firm Power Service Provided by Rate/Charges Rate/Charges Effective Through (or until superceded) Firm Sales (SLIP-F9) Composite Rate SLIP 29.62 mills/kWh 9/30/2015 Demand Charge SLIP $5.18/kW-month 9/30/2015 Energy Charge SLIP 12.19 mills/kWh 9/30/2015 Cost Recovery Charge (CRC) SLIP 0 mills/kWh 9/30/2015 Transmission Service Provided by Current Rates effective10/12 - 9/15 (or until superceded) Rate Schedule Effective Through Firm Point-to-Point Transmission (SP-PTP7) CRSP $1.14 per kW-month $13.69/kW-year $0.00156/kW-hour $0.04/kW-day $0.26/kW-week 10/1/2008-9/30/2015 Network Integration Transmission (SP-NW3) CRSP see rate schedule 10/1/2008-9/30/2015 Non-Firm Point-to-Point Transmission (SP-NFT6) CRSP see rate schedule 10/1/2008-9/30/2015 Ancillary Services Provided by Rate Rate Schedule

9

High Performance Adaptive Distributed Scheduling Algorithm  

Science Conference Proceedings (OSTI)

Exascale computing requires complex runtime systems that need to consider affinity, load balancing and low time and message complexity for scheduling massive scale parallel computations. Simultaneous consideration of these objectives makes online distributed ... Keywords: Distributed Scheduling, Adaptive Scheduling, Performance Analysis

Ankur Narang, Abhinav Srivastava, R. K. Shyamasundar

2013-05-01T23:59:59.000Z

10

PARS II Training Schedule  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 4 5 6 7 8 WEEK 3 11 12 13 14 15 WEEK 4 18 19 20 21 22 WEEK 5 25 26 27 28 PARS II Training Schedule FEBRUARY 2013 Webinar PARS 102: Session A) 10:00 - 12:00 1 Hour Break...

11

Archives and History Office: Records Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Services > Records Schedules Services > Records Schedules Records Schedules Note: Some links on this page open pdf files, which require the free Acrobat Reader. SLAC Current Organizational Unit File Plans / Records Control Schedules For assistance in applying or developing a records schedule for your unit, please contact either the SLAC Archives and History Office (x3091 -- directorate and research records) or the SLAC Records Manager (x4342 -- business and safety records). Directorate Organizational Unit Applicable File Plans(s) / Records Control Schedule(s) Director's Office SLAC DO Schedule Advisor for Science and Technology DOE Administrative Records schedules and DOE R&D Schedule Chief Research Officer DOE Administrative Records schedules and DOE R&D Schedule Communications Office DOE Administrative Records schedules (particularly ADM14 and ADM21)

12

Work Schedules  

Science Conference Proceedings (OSTI)

... All employee's scheduled tour must be between 7:00 am and 7:00 pm Once adopted, change from this alternative can be made only with approval ...

2010-10-05T23:59:59.000Z

13

SI Group Scheduling Page  

NLE Websites -- All DOE Office Websites (Extended Search)

Personnel On-Call Page Beamline Validation Schedule Group Organizational Chart Reviews Presentations Group Scheduling Page Project Scheduling Information Ops Scheduling Info Project / Scheduling Info APS fy2005 Annual Schedule ( html ) PSS Validation Schedule APS fy2006 Annual Schedule (html) PSS Validation Teams Latest Machine Studies Schedule (pdf) (html) New Builds Schedule (For SI GROUP Reference Only) Parasitic Beam Operations Schedule Ops Scheduling Page Shutdown Information Work Schedules August/September Shutdown Shutdown Work List Validation Schedule Safety Info Work Request Links ISM Core Functions Enter / Search Work Requests APS Safety Page Modify / Approve Work Requests Radiation Safety Policy APS TMS Training Profiles MSDS Search This page maintained by Joe Budz

14

Schedule planning for construction projects  

SciTech Connect

Operating contractors of government-owned facilities manage construction projects having a maximum value of $1,000,000. Successful execution is dependent upon pragmatic scheduling. Such scheduling requires that all activities (both engineering and non-engineering) be integrated into a compatible sequence of events with adequate time allowed for each event. To develop realistic schedules, project event standards and program measures of performance have been established.

Shunk, W.A.

1982-01-01T23:59:59.000Z

15

JGI - CSP Proposal Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Proposal Schedule Proposal Schedule CSP | Overview | How to Propose a Project | Review Process | DOE Relevance Proposal Schedule | FAQ Small-scale Microbial/Metagenome Proposals - reviewed twice yearly Small-scale proposals for specific types of microbial and metagenome projects are accepted on a continuous basis and will be reviewed twice a year. Letters of intent are not required. Deadline for submission is 60 days prior to the review date. Next review dates (submission deadline in parentheses): January 2014 (Nov 22, 2013) July 2014 (May 23, 2014) Submit small-scale microbial/metagenome proposals anytime using the Work Initiation Process (WIP) interface. Synthetic Biology proposals Synthetic biology proposals are accepted on a continuous basis and will be reviewed twice a year. Letters of intent are not required. Deadline for

16

Salt Repository Project schedule integration  

SciTech Connect

The Nuclear Waste Policy Act of 1982 defined the process and schedule leading to construction of a nuclear repository available to accept commercial nuclear waste by 1998. The significance of the efforts reported in this paper are that technical staff become equally convinced of the merit of scheduling when time permits, or magnitude requires, that they be intimately involved in the scheduling process. This particular project was also unique in the variety of technical disciplines forced to interact in order to determine schedule constraints between groups. This required a strong and experienced task force to bring the groups together, promulgate the technical principles of the scheduling methodology, and distill the proper logic. Finally, it was a necessity to be end-date constrained, and this required that management mandate realistic scopes of work as well as aggressive assumptions regarding durations of certain critical path activities.

Kopp, H.D.; LaFountain, L.J. (Battelle Memorial Institute, Amarillo, TX (USA))

1988-01-01T23:59:59.000Z

17

Rate Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Rate Schedules Rate Schedules Rate Schedules 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 levels and these studies for each of Southeastern's four power marketing systems are updated annually. They demonstrate the adequacy of the rates for each system. Rates are considered to be adequate when revenues are sufficient to repay all costs associated with power production and transmission costs, which include the amortization of the Federal investment allocated to power. Latest Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina October 1, 2012

18

Presentation Schedule  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Presentation Schedule Presentation Schedule (30 Min) Dave Wade - Dose Comparisons of once-thru and closed fuel cycles. (30 Min) Ralph Bennett - Roadmap Overview (15 Min) Neil Todreas - GRNS Perspectives and Recommendations (75 Min) Neil Todreas / - NERAC DISCUSSION Sal Levy 2 Generation IV Roadmap NERAC Subcommittee (GRNS) Bobby Abrams* Duke Engineering Douglas Chapin MPR Associates B. John Garrick Independent Consultant Dan Kammen University of California- Berkeley 3 Salomon Levy ** Levy & Associates Ted Marston Electrical Power Research Institute Bill Naughton Exelon Neil Todreas ** Massachusetts Institute of Technology * Resigned, July 2002 ** Co-chair GRNS Recruited Working Group Co-Chairs Jack Devine TWG-1 Water Cooled Phil Hildebrandt TWG-2 Gas Cooled Steve Rosen TWG-3 Metal Cooled Bill Rasin

19

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

20

NRC comprehensive records disposition schedule  

SciTech Connect

Title 44 United States Code, Public Printing and Documents,'' regulations cited in the General Services Administration's (GSA) Federal Information Resources Management Regulations'' (FIRMR), Part 201-9, Creation, Maintenance, and Use of Records,'' and regulation issued by the National Archives and Records Administration (NARA) in 36 CFR Chapter XII, 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. 2, contains NRC's Comprehensive Records Disposition Schedule,'' and the original authorized approved citation numbers issued by NARA. Rev. 2 totally reorganizes the records schedules from a functional arrangement to an arrangement by the host office. A subject index and a conversion table have also been developed for the NRC schedules to allow staff to identify the new schedule numbers easily and to improve their ability to locate applicable schedules.

Not Available

1992-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Monitoring Building Systems for Schedule Compliance  

SciTech Connect

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

Jensen, Andrew M.; Belew, Shan T.

2013-02-19T23:59:59.000Z

22

Truck Driver Scheduling in the European Union  

Science Conference Proceedings (OSTI)

Since April 2007 working hours of truck drivers in the European Union are controlled by regulation (EC) No. 561/2006. According to the new regulation, road transport undertakings must organise the work of drivers in a way that drivers are able to comply ... Keywords: drivers' working hours, regulation (EC) No. 561/2006, vehicle scheduling

Asvin Goel

2010-11-01T23:59:59.000Z

23

Shifts & Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Shifts & Schedules This page provides links to the various shifts and schedules that are used by the User ESH Support Group. FC Shift Schedule This page lists the current Operational Shift Schedule for the Floor Coordinators. FC DOR Schedule This page lists the current DOR Schedule for the Floor Coordinators. FC Off Shift Pager Schedule This tool lists the current schedule for the Floor Coordinator carring the 0101 during APS Shutdown periods. Long Range Operations Schedule This page lists the schedule of Operations for the current APS fiscal year. Machine Studies Schedule This page lists the current schedule of Operations for the Accelerator Systems during Machine Studies. PSS Validation Schedule This page lists the beamlines currently scheduled to have their Personnel Safety Systems validated.

24

NERSC Edison Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

25

Disposition Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Schedules. Approved Site-Specific Records Schedules - provides a listing of approved organizational site-specific schedules. Site-specific schedules apply to records...

26

Identifying Challenging Operating Hours for Solar Intergration in the NV Energy System  

Science Conference Proceedings (OSTI)

Abstract-- In this paper, the ability of the Nevada (NV) Energy generation fleet to meet its system balancing requirements under different solar energy penetration scenarios is studied. System balancing requirements include capacity, ramp rate, and ramp duration requirements for load following and regulation. If, during some operating hours, system capability is insufficient to meet these requirements, there is certain probability that the balancing authority’s control and reliability performance can be compromised. These operating hours are considered as “challenging” hours. Five different solar energy integration scenarios have been studied. Simulations have shown that the NV Energy system will be potentially able to accommodate up to 942 MW of solar photovoltaic (PV) generation. However, the existing generation scheduling procedure should be adjusted to make it happen. Fast-responsive peaker units need to be used more frequently to meet the increasing ramping requirements. Thus, the NV Energy system operational cost can increase. Index Terms—Solar Generation, Renewables Integration, Balancing Process, Load Following, Regulation.

Etingov, Pavel V.; Lu, Shuai; Guo, Xinxin; Ma, Jian; Makarov, Yuri V.; Chadliev, Vladimir; Salgo, Richard

2012-05-09T23:59:59.000Z

27

NSLS-II Project Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

NSLS-II Project Schedule NSLS-II Project Schedule Major Milestone Event Major Milestone Event Preliminary Schedule CD-0 (approve Mission Need) 4th quarter, FY2005 CD-1 (approve Alternative Selection and Cost Range) 4th quarter, FY2007 CD-2 (approve Performance Baseline) 1st quarter, FY2008 CD-3 (approve Start of Construction) 2nd quarter, FY2009 CD-4 (approve Start of Operations) FY2015 Critical Decisions The five Critical Decisions are major milestones approved by the Secretarial Acquisition Executive or Acquisition Executive that establish the mission need, recommended alternative, Acquisition Strategy, the Performance Baseline, and other essential elements required to ensure that the project meets applicable mission, design, security, and safety requirements. Each Critical Decision marks an increase in commitment of

28

Prediction of Power System Balancing Requirement and Tail Event  

Science Conference Proceedings (OSTI)

This paper presents a methodology for the prediction of power system balancing requirement and the probability of tail event (large imbalance between generation and load). Maintaining sufficient balancing reserves to match the difference between hourly generation schedule and real-time variable load and intermittent resources, becomes more and more challenging with the increasing penetration of intermittent energy sources. The presented methodology uses a yearly distribution and an hourly distribution of balancing requirement and tail events to provide a high level look at the issue and warn system operators of those hours when problems are most likely to occur. For real-time prediction, a Bayes Net model is constructed to model the statistical relationships between system imbalance and forecast errors, generation schedule control errors and other influential factors. The methodology will be able to provide reference information to system operators in determining the sufficiency of system balancing reserve and taking appropriate control actions.

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

2010-04-30T23:59:59.000Z

29

Dedicated heterogeneous node scheduling including backfill scheduling  

DOE Patents (OSTI)

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.

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

2006-07-25T23:59:59.000Z

30

Renewable Fuel Standard Schedule | Open Energy Information  

Open Energy Info (EERE)

Standard Schedule Standard Schedule Jump to: navigation, search Name Renewable Fuel Standard Schedule Sector Liquid Transportation Fuels Spatial Resolution National Geographic Scope United States Temporal Resolution Annual The United States Environmental Protection Agency, under the National Renewable Fuel Standard program and as required by the Energy Independence and Security Act of 2007 (EISA), periodically revises the volumetric standards for cellulosic biofuel, biomass-based diesel, advanced biofuel, and total renewable fuel that must be used in transportation fuel each year. The table below lists the current RFS2 schedule in billions of gallons: Year Renewable Biofuel Advanced Biofuel Cellulosic Biofuel Biomass-based Diesel Undifferentiated Total 2008 9 9

31

Plans and Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Appliance & Equipment Standards » About » Plans and Schedules Appliance & Equipment Standards » About » Plans and Schedules Plans and Schedules The Appliances and Equipment Standards program maintains a multi-year rulemaking schedule. The currently scheduled rulemaking activities are described in the program's semi-annual implementation report to Congress. The program will also issue other plans and schedules when needed. The most recent 5-year plan was released in October 2010 and outlines how the program planned to meet all the statutory requirements established in the Energy Policy and Conservation Act of 1975, as amended. Expedited Rulemakings In November 2010, the Department of Energy (DOE) adopted new procedures that enable certain rulemakings to be expedited or improve the efficiency of the rulemaking process:

32

Professional Skills Schedule  

Energy.gov (U.S. Department of Energy (DOE))

The 2013 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)

33

SCHEDULE: a hypercube implementation  

Science Conference Proceedings (OSTI)

SCHEDULE, a tool for developing portable parallel Fortran programs, was converted for use on the Ncube hypercube. Developed at Argonne National Laboratory by Dongarra and Sorensen, SCHEDULE was originally intended for a shared memory system such as the ...

A. L. Beguelin

1988-01-01T23:59:59.000Z

34

Progress Report Schedule  

COMPANY PROPRIETARY INFORMATION 1 PROGRESS REPORT (Before First Commercial Sale) Progress Report Schedule Due date For period

35

Document Status & Schedules  

Energy.gov (U.S. Department of Energy (DOE))

This document graphically displays the milestone dates and projected schedules of key Environmental Impact Statements (updated monthly).

36

Building Technologies Office: Schedule Setting  

NLE Websites -- All DOE Office Websites (Extended Search)

Schedule Setting on Twitter Bookmark Building Technologies Office: Schedule Setting on Google Bookmark Building Technologies Office: Schedule Setting on Delicious Rank Building...

37

Particle swarm optimization technique based short-term hydrothermal scheduling  

Science Conference Proceedings (OSTI)

Particle swarm optimization is applied to determine the optimal hourly schedule of power generation in a hydrothermal power system. A multi-reservoir cascaded hydroelectric system with a nonlinear relationship between water discharge rate, net head and ... Keywords: Cascaded reservoirs, Hydrothermal scheduling, Particle swarm optimization

K. K. Mandal; M. Basu; N. Chakraborty

2008-09-01T23:59:59.000Z

38

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

39

Rate Schedule CV-EID4  

NLE Websites -- All DOE Office Websites (Extended Search)

EID4 EID4 (Supersedes Schedule CV-EID3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR ENERGY IMBALANCE SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To customers receiving Energy Imbalance (EI) service. Character and Conditions of Service: EI is provided when a difference occurs between the scheduled and the actual delivery of energy to a load within the Sub-Balancing Authority (SBA) over an hour or in accordance with approved policies and procedures. The deviation, in megawatts, is the net scheduled amount of

40

Undergraduate Program Time Limits and Work Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Time Limits and Work Schedules Time Limits and Work Schedules Undergraduate Program Time Limits and Work Schedules Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Student Programs (505) 665-8899 Email Time limits The length of participation in the undergraduate program is limited to a maximum of six years for students pursuing a bachelor's degree and three years for students pursuing an associate's degree. Work schedules Year-round students Students participating in some special undergraduate programs, post-baccalaureate appointments, post-master's appointments, and GRA students working on a thesis or dissertation are excluded from the 30-hour per week work restriction.

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

NERSC Franklin Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

42

Search Search Strategies for Scheduling Constraint-based Scheduling  

E-Print Network (OSTI)

Search Search Strategies for Scheduling Constraint-based Scheduling: Search Strategies Hana Rudová-based Scheduling: Search Strategies 1/10 #12;Search Search Strategies for Scheduling Outline 1 Search 2 Search Strategies for Scheduling Constraint-based Scheduling: Search Strategies 2/10 #12;Search Search Strategies

Qu, Rong

43

Task network-based project dynamic scheduling and schedule coordination  

Science Conference Proceedings (OSTI)

The resource-constrained project scheduling problem (RCPSP) is an extensively explored area. The existing RCPSP solutions tend to focus on single project scheduling problems without practical supports to address complex constraints, dynamic environments, ... Keywords: Aircraft maintenance management, Dynamic scheduling, Multi-project scheduling, Resource-constrained project scheduling problem (RCPSP), Schedule coordination

Qi Hao; Weiming Shen; Yunjiao Xue; Shuying Wang

2010-11-01T23:59:59.000Z

44

NRC comprehensive records disposition schedule. Revision 2  

SciTech Connect

Title 44 United States Code, ``Public Printing and Documents,`` regulations cited in the General Services Administration`s (GSA) ``Federal Information Resources Management Regulations`` (FIRMR), Part 201-9, ``Creation, Maintenance, and Use of Records,`` and regulation issued by the National Archives and Records Administration (NARA) in 36 CFR Chapter XII, 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. 2, contains ``NRC`s Comprehensive Records Disposition Schedule,`` and the original authorized approved citation numbers issued by NARA. Rev. 2 totally reorganizes the records schedules from a functional arrangement to an arrangement by the host office. A subject index and a conversion table have also been developed for the NRC schedules to allow staff to identify the new schedule numbers easily and to improve their ability to locate applicable schedules.

Not Available

1992-03-01T23:59:59.000Z

45

List scheduling with duplication for heterogeneous computing systems  

Science Conference Proceedings (OSTI)

Effective task scheduling is essential for obtaining high performance in heterogeneous computing systems (HCS). However, finding an effective task schedule in HCS, requires the consideration of the heterogeneity of computation and communication. To solve ... Keywords: DAG, Duplication, Heterogeneous computing systems, List scheduling

Xiaoyong Tang; Kenli Li; Guiping Liao; Renfa Li

2010-04-01T23:59:59.000Z

46

BNL | Center for Functional Nanomaterials Hours of Operation  

NLE Websites -- All DOE Office Websites (Extended Search)

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

47

The NCRC Grid Scheduling Environment  

Science Conference Proceedings (OSTI)

In support of the NCRC, a joint computing center between NOAA and ORNL, a grid-based scheduling infrastructure was designed to allow geographically separate computing resources to be used as production resources in climate and weather research workflows. These workflows require job coordination between the two centers in order to provide a complete workflow of data staging, computation, post-analysis and archival. This paper details the design, implementation and initial production phase of the infrastructure and lessons learned from the process.

Indiviglio, Frank M [ORNL; Maxwell, Don E [ORNL

2011-01-01T23:59:59.000Z

48

Rate Schedule CPP-2  

NLE Websites -- All DOE Office Websites (Extended Search)

or rate schedule accepted or approved by the Federal Energy Regulatory Commission (FERC) or other regulatory bodies will be passed on to each relevant customer. The FERC's or...

49

Chemistry Department Seminar Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Chemistry Department Seminar Schedule Hamilton Seminar Room, Bldg. 555 This page shows future Chemistry Department seminars and those that have taken place within the past six...

50

Berkeley Lab Holiday Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Subscribe to the Berkeley Lab Holiday Schedule via Google Calendar or ICS. Go here for Google CalendarICS subscription help. The Laboratory has announced the following holiday...

51

ADMINISTRATIVE RECORDS SCHEDULE 23:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES June 2007 Revision 1 This schedule provides for the disposal of certain records common to most offices. It covers administrative subject files; facilitative records such as suspense files, tracking and control records, calendars, and indexes; and documents of transitory value. This schedule does not apply to any materials determined to be non-record or to materials such as calendars or work schedules claimed as personal. Office Administrative Files described under item 1 are records retained by an originating office as its record of initiation of an action, request, or response to requests for information. This item may be applied only to separate administrative files containing such records as copies of

52

Hilton Alexandria Mark Center Shuttle Schedule  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hilton Alexandria Mark Center Shuttle Schedule Hilton Alexandria Mark Center Shuttle Schedule 5000 Seminary Road, Alexandria, VA 22311 703-845-1010 The Hilton Alexandria Mark Center offers complimentary shuttle service every half hour at :00 and :30, 7 days a week. Our first departure from the hotel is 6:00 AM and our last departure from the hotel is 10:30 pm, to Pentagon City Mall/Metro (on the blue and yellow line) and Ronald Reagan Washington National Airport The van arrives at Pentagon City at approximately 10 and 40 minutes after the hour. Our last pick up is at approximately 10:40pm. Upon exiting the metro, exit left, and take the escalator outside. We pick up at the island in front of the Ritz Carlton and Fashion Center Mall. The next stop is Ronald Reagan Washington National Airport The van arrives at the airport at approximately 20 and 50 minutes after the

53

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

54

NERSC Carver Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

55

ADMINISTRATIVE RECORDS SCHEDULE 11:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ADMINISTRATIVE RECORDS SCHEDULE 11: ADMINISTRATIVE RECORDS SCHEDULE 11: SPACE AND MAINTENANCE RECORDS June 2007 Revision 1 This schedule provides for the disposal of all copies, wherever located in the Department, of records relating to space and maintenance, except as indicated below. Records documenting these functions pertain to the acquisition, allocation, utilization, and release of space and include related correspondence and reports submitted to the General Services Administration (or equivalent agency with similar Government-wide responsibilities) as directed by law and regulation (41 CFR 101-17); correspondence and forms relating to the compilation of directory service listings; identification credentials and related accountable records; requests for building and equipment services;

56

ADMINISTRATIVE RECORDS SCHEDULE 22:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ADMINISTRATIVE RECORDS SCHEDULE 22: ADMINISTRATIVE RECORDS SCHEDULE 22: AUDIT/INVESTIGATIVE RECORDS June 2007 Revision 1 Section I of this schedule covers records associated with investigations other than those performed by the Office of the Inspector General (OIG). Types of investigations may include: routine and significant internal program investigations, specific purpose investigations, audits, inspections, appraisals, and management reviews. Investigations may be described or referred to as audits, appraisals, surveillance, self-assessments, management assessments, or evaluations. Investigations may be conducted by DOE or by its contractors. Section II covers records created by the Department's OIG investigations. OIG investigations serve to prevent or reduce waste and fraud in Departmental programs,

57

ADMINISTRATIVE RECORDS SCHEDULE 16:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 2 ADMINISTRATIVE RECORDS SCHEDULE 16: ADMINISTRATIVE MANAGEMENT RECORDS June 2007 Revision 1 This schedule covers those administrative management activities not covered by other Administrative Schedules. Included are disposable records created in the course of organizational planning, development, and simplification of procedures; records management activities; and administration of management improvement programs. See ADM 1 (items 12 and 13) for the disposition of case files on individuals involved in incentive award and similar types of management improvement programs. The organizational locations and titles of administrative management units vary. They may be scattered at numerous levels or locations, or may be centralized. For the purposes

58

NRC comprehensive records disposition schedule. Revision 3  

Science Conference Proceedings (OSTI)

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).

NONE

1998-02-01T23:59:59.000Z

59

Definition: Dynamic Interchange Schedule Or Dynamic Schedule | Open Energy  

Open Energy Info (EERE)

Schedule Or Dynamic Schedule Schedule Or Dynamic Schedule Jump to: navigation, search Dictionary.png Dynamic Interchange Schedule Or Dynamic Schedule A telemetered reading or value that is updated in real time and used as a schedule in the AGC/ACE equation and the integrated value of which is treated as a schedule for interchange accounting purposes. Commonly used for scheduling jointly owned generation to or from another Balancing Authority Area.[1] Related Terms balancing authority, balancing authority area, smart grid References ↑ Glossary of Terms Used in Reliability Standards An in LikeLike UnlikeLike You like this.Sign Up to see what your friends like. line Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Dynamic_Interchange_Schedule_Or_Dynamic_Schedule&oldid=502492

60

A hybrid heuristic-genetic algorithm for task scheduling in heterogeneous processor networks  

Science Conference Proceedings (OSTI)

Efficient task scheduling on heterogeneous distributed computing systems (HeDCSs) requires the consideration of the heterogeneity of processors and the inter-processor communication. This paper presents a two-phase algorithm, called H2GS, for task scheduling ... Keywords: Directed acyclic graph, Genetic algorithms, Heterogeneous systems, List-based scheduling heuristics, Parallel and distributed processing, Task scheduling

Mohammad I. Daoud; Nawwaf Kharma

2011-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

62

ADMINISTRATIVE RECORDS SCHEDULE 21:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ADMINISTRATIVE RECORDS SCHEDULE 21: AUDIOVISUAL RECORDS June 2007 Revision 1 This schedule covers audiovisual and related records created by or for Department and those acquired in the normal course of business. For audiovisual records that are not described in this schedule, an SF 115, Request for Records Disposition Authority, must be submitted to the National Archives and Records Administration (NARA). Audiovisual records include still and motion picture photography, graphic materials, and sound and video recordings. Related documentation includes (1) production files or other files documenting the creation, justification, ownership, and rights to the records and (2) finding aids used to identify or access the records. This schedule does not cover: (1) cartographic records, (2) remote sensing imagery

63

Schedule - Table 1  

Science Conference Proceedings (OSTI)

... 41, 5:00 PM, 42, 6:00 PM, Banquet, 43, 44, You can add more information about your conference or training session in the space below the schedule ...

2008-05-20T23:59:59.000Z

64

Definition: Interchange Schedule | Open Energy Information  

Open Energy Info (EERE)

Schedule Schedule Jump to: navigation, search Dictionary.png Interchange Schedule An agreed-upon Interchange Transaction size (megawatts), start and end time, beginning and ending ramp times and rate, and type required for delivery and receipt of power and energy between the Source and Sink Balancing Authorities involved in the transaction.[1] Related Terms Interchange transaction References ↑ Glossary of Terms Used in Reliability Standards An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Interchange_Schedule&oldid=480572" Categories: Definitions ISGAN Definitions What links here Related changes Special pages Printable version Permanent link

65

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

66

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

67

Instrument Schedule for dcs  

Science Conference Proceedings (OSTI)

... Tue Sep 18 2007, 0, -, Determination of beam profile (2 hours), Rodriguez ... part 1), Jenkins*, Brown*, Liu* and Her*, NCNR, CCR, top-loading, 5-600K ...

68

SRS CAB - Meeting Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

SRS CAB Meeting Schedule SRS CAB Meeting Schedule Savannah River Site - Citizens Advisory Board 2013 Schedule To join current Online Meetings or view archived Online Meetings click on the buttons in the right-hand column. CAB Full Board and Combined Committees Meetings are not presented in the Online Meeting format. Instructions for Accessing Committee Meetings Online To request a copy of an archived online meeting, scroll down to the date of the meeting you wish to request, and click on the green "Request Archived Online Meeting" button. Your email browser will open and generate a new email to srscitizensadvisoryboard@srs.gov with the committee meeting you wish to request in the subject line. Please, include your name and mailing address in the body of the email. Once we receive the email, we will send

69

NERSC Holiday Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

NERSC NERSC Holiday Schedule NERSC Holiday Schedule December 20, 2013 by Francesca Verdier (0 Comments) All NERSC computing and storage systems will remain in full operation throughout the holiday season (Tuesday December 24 through Wednesday January 1). From Tuesday December 24 through Wednesday January 1, NERSC Consulting and Account Support services will be available *only* on Friday December 27 and Monday December 30, from 8:00 to 5:00 Pacific Time. Normal Consulting and Account Support schedules will resume on Thursday, January 2. As always, critical system problems may be reported at any time to NERSC Operations at 1-800-666-3772, menu option 1, or 1-510-486-6821. You should also contact Operations if you need to have your password reset (or login failures cleared) over the holidays.

70

CASP: a community-aware scheduling protocol  

Science Conference Proceedings (OSTI)

The existing resource and topology heterogeneity has divided the scheduling solutions into local schedulers and high-level schedulers (a.k.a. meta-schedulers). Although much work has been proposed to optimise job queue based scheduling, ...

Ye Huang; Nik Bessis; Pierre Kuonen; Beat Hirsbrunner

2011-05-01T23:59:59.000Z

71

ADMINISTRATIVE RECORDS SCHEDULE 20:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

20: 20: ELECTRONIC RECORDS April 2008 Revision 2 This schedule authorizes the disposition of specified electronic records and hard-copy or microform records and are integrally related to them. The electronic records may either be created or received. Included are records created by computer operators, programmers, analysts, systems administrators, and all personnel with access to a computer. Disposition authority is provided for certain master files, including some tables that are components of data base management systems, and certain files created from master files for specific purposes. In addition, this schedule covers certain disposable electronic records produced by end users in office automation applications. These disposition authorities apply to the

72

GENERAL RECORDS SCHEDULE 1  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

39 39 DEPARTMENT OF ENERGY ADMIN1STRATIVE RECORDS SCHEDULE 1: PERSONNEL RECORDS June 2007 Revision 2 As do all Administrative Records Schedules (ADMs), ADM-1 covers records of the Department and its contractors. The records include, employee concerns programs, labor agreements and negotiations, labor relations, academic and outreach programs, apprenticeship programs, job vacancies, unemployment compensation, recruitment and employee health. The most important types of records are the Official Personnel Folders, the Service Record Cards, and the Employee Medical Folders. Those for Federal employees are maintained according to The Guide to Personnel Recordkeeping, an Office of Personnel Management directive that prescribes a system of recordkeeping for Federal

73

Schedule of Events pdf  

Science Conference Proceedings (OSTI)

Schedule of Events Day Start Time End Time Short Course Saturday 8:00 AM 5:00 PM Short Courses Sunday 8:00 AM 5:00 PM Tocotrienols Symposia Sunday 8:00 AM 5:00 PM Registration Sunday 10:00 AM 7:30 PM AOCS Pavilion Sunday 10:00 AM 7:

74

Wireless Scheduling Mung Chiang  

E-Print Network (OSTI)

Wireless Scheduling Mung Chiang Electrical Engineering, Princeton University WiOpt Seoul, Korea 2005, Neely Modiano Li 2005, Eryilmaz Srikant 2005, Stolyar 2005, Chen Low Chiang Doyle 2006... · Saturated Joint congestion control and contention control: Wang Kar 2005, Lee Chiang Calderbank 2006, Zhang

Chiang, Mung

75

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

76

Contention awareness and fault-tolerant scheduling for precedence constrained tasks in heterogeneous systems  

Science Conference Proceedings (OSTI)

Heterogeneous distributed systems are widely deployed for executing computationally intensive parallel applications with diverse computing needs. Such environments require effective scheduling strategies that take into account both algorithmic and architectural ... Keywords: Communication contention, Fault-tolerant scheduling, Heterogeneous systems

Anne Benoit; Mourad Hakem; Yves Robert

2009-02-01T23:59:59.000Z

77

k-Depth Look-Ahead Task Scheduling in Network of Heterogeneous Processors  

Science Conference Proceedings (OSTI)

The objective of the task scheduling is to achieve the minimum execution time of all the tasks with their precedence requirements satisfied. Although several task scheduling heuristics for the heterogeneous environment have been presented in the literature, ...

Namyoon Woo; Heon Young Yeom

2002-01-01T23:59:59.000Z

78

Jefferson Lab Science Series - Current Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Current Science Series Schedule Current Science Series Schedule Lectures are free and open to students and adults with an interest in science. All lectures begin at 7:00 pm in CEBAF Center Auditorium [Download a Map] [Locate Jefferson Lab on Google Maps] [Display a QR Code for Scanning] and last for about an hour. Seating in the CEBAF Center Auditorium and overflow area is limited to about 300 people. Seating is on a first come, first served basis. Unfortunately, people arriving once capacity has been reached will be turned away. A live video stream will be available for those not able to attend in person. Lectures will be added to the video archive for on-demand viewing upon approval from the presenter. NOTICE: For security purposes, everyone over 16 is asked to carry a photo I.D. Security guards may inspect vehicles, book bags and purses.

79

Mandatory Supervisory Training Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Mandatory Supervisory Training Requirements Mandatory Supervisory Training Requirements All DOE supervisors, managers, and executives will comply with mandatory supervisory training requirements (5 CFR 412; 5 CFR 315.801; 5 CFR 315.901; DOE O 360.1; and DOE O 320.1): * New supervisors: 80 hours of supervisory training, with 40 hours required to be completed during the supervisory probationary period. * Experienced supervisors: minimum of 8 hours of supervisory training each year. The Office of Learning and Workforce Development has developed an inventory of training and developmental activities that will meet the supervisory training requirements. The DOE courses Supervisory Essentials (32 hours) and Navigating the Federal Hiring Process (8 hours) are required to fulfill the first year 40-hour training

80

PIA - Richland Health Services Scheduling | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Health Services Scheduling PIA - Richland Health Services Scheduling PIA - Richland Health Services Scheduling PIA - Richland Health Services Scheduling More Documents &...

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Survey Research on gain scheduling  

Science Conference Proceedings (OSTI)

Current research on gain scheduling is clarifying customary practices as well as devising new approaches and methods for the design of nonlinear control systems. Keywords: Gain scheduling, Linear parameter-varying systems, Nonlinear control systems

Wilson J. Rugh; Jeff S. Shamma

2000-10-01T23:59:59.000Z

82

EDF Scheduling Identical Multiprocessor Systems  

E-Print Network (OSTI)

-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

Navet, Nicolas

83

Adaptable search neighborhoods for Resource Constrained Scheduling  

E-Print Network (OSTI)

Resource Constrained Scheduling problem (RCSP) is a scheduling problem in which each activity may require more than one resource and resources may not be available in the same quantity throughout the planning period. This thesis describes a methodology for RCS that can be easily adapted to consider different regular measures of performance. The solution approach is based on the generation of strong search neighborhoods using methods recently published in the literature. Computational results are encouraging when searching these spaces using simple local search techniques and genetic algorithms. Close-to-optimal solutions are found for standard problems from the literature. A special case of RCSP, the flexible flow line (FFL) scheduling problem, is also studied. Computational results on some real industrial data produced close-to-optimal solutions. In both cases (RCS and FFL), the performance measures used to the test the procedures are makespan and mean tardiness.

Balakrishnan, Ramamoorthy

1993-01-01T23:59:59.000Z

84

ADMINISTRATIVE RECORDS SCHEDULE 14:  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5 5 ADMINISTRATIVE RECORDS SCHEDULE 14: INFORMATIONAL SERVICES RECORDS June 2007 Revision 1 This schedule covers certain records pertaining to informational services performed by the Department in their day-to-day affairs and in their relations with the public, including records created in administering Freedom of Information Act (FOIA) and Privacy Act ) programs. Except as otherwise specified in individual items, it applies to copies of these records wherever located. Item 4 applies only to files maintained in office responsible for the operation of the information activities. Items 11 through 15 describe the files accumulated in carrying out the provisions of the FOIA, and items 21 through 26 describe the files created in administering the provisions of the Privacy Act. Items 31

85

BNL | ATF Beam Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Beam Schedule (pdf) Beam Schedule (pdf) Sunday Monday Tuesday Wednesday Thursday Friday Saturday 22 1/2 Holiday Holiday 28 January Holiday 4 5 Maintenance 11 12 Maintenance 18 19 Holiday AE52 - DWFA (Euclid), BL2 25 February AE52 - DWFA (Euclid), BL2 1 2 AE50 - PWFA in QNR (UCLA), BL2 8 9 AE50 - PWFA in QNR (UCLA), BL2 15 16 Holiday AE50 - PWFA in QNR (UCLA), BL2 22 March 1 2 AE53 - Nonlinear Compton (UCLA) 8 9 AE53 - Nonlinear Compton (UCLA) 15 16 AE53 - Nonlinear Compton (UCLA) 22 23 29 Sunday Monday Tuesday Wednesday Thursday Friday Saturday User operations (E-beam in use) Ions - Ion generation User operations (laser in use) PWFA - Plasma Wakefield Acceleration User operations (E-beam and laser in use)

86

Building Technologies Office: Plans and Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

and Schedules on Twitter Bookmark Building Technologies Office: Plans and Schedules on Google Bookmark Building Technologies Office: Plans and Schedules on Delicious Rank Building...

87

Building Technologies Office: Plans and Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Plans and Schedules The Appliances and Equipment Standards program maintains a multi-year rulemaking schedule. The currently scheduled rulemaking activities are described in the...

88

Wireless scheduling with power control  

Science Conference Proceedings (OSTI)

We consider the scheduling of arbitrary wireless links in the physical model of interference to minimize the time for satisfying all requests. We study here the combined problem of scheduling and power control, where we seek both an assignment of power ... Keywords: Wireless networks, capacity, radio interference, scheduling

Magnús M. Halldórsson

2012-12-01T23:59:59.000Z

89

SSRL Experimental Run Schedule | Stanford Synchrotron Radiation Lightsource  

NLE Websites -- All DOE Office Websites (Extended Search)

Experimental Run Schedule Experimental Run Schedule SLAC National Accelerator Laboratory will be closed for the winter holidays, December 21, 2013 through January 5, 2014. SSRL generally operates November through August, using the shutdown period for upgrades and maintenance projects. SSRL operates at 500mA and employs a frequent fill schedule to maintain the SPEAR3 current approximately constant. Automatic injections will be conducted every 5 minutes. Automatic injections will only occur at the designated 5 minute intervals (i.e., on the hour and every 5 minutes thereafter). If the injector is not functional at the designated fill time, then the fill will be skipped. The current will be replenished at the next scheduled fill time after the injector is repaired and normal injection intervals will resume. The operator will give

90

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

91

SLAC - KEK: ISG8 Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Agenda Agenda ISG8 Home Page Working Groups: WG1: Parameters, Design, Instrumentation and Tuning, Bldg.212 Cascades Conference Rm. WG2: Damping Rings and ATF, Bldg.214 Fuji Conference Rm WG3: RF Sources, Orange Rm (half) WG4:Structures, Orange Rm (half) WG5: Ground Motion; Site Requirements and Investigations, Bldg.281 Conventional Facilities Rm. Monday: 09:00 Plenary Sessions (Auditorium) Welcome - J. Dorfan Views from KEK - K. Takata TRC News - G. Loew Goals for ISG-8 - D. Burke / N. Toge Working Group Plans (5 min ea) - WG Conveners 11:00 Working Group Sessions 12:00 Lunch 13:30 Working Group Sessions Tuesday: 09:00 Daily Schedule Update (Orange Rm) - WG Conveners (5min ea) 09:30 Working Group Sessions 12:00 Lunch 13:30 Working Group Sessions Wednesday:

92

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

93

APS Long Range Operations Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Shutdown Planning Shutdown Planning Planning Templates Shutdown Planning Schedules: Current Shutdown Schedule Archives: 2006 - 2013 APS Long-Range Operations Schedule: 2014 Archives: 2013 | 2012 2011 | 2010 | 2009 | 2008 2007 | 2006 | 2005 | 2004 2003 | 2002 | 2001 | 2000 1999 | 1998 | 1997 | 1996 APS Long-Range Operations Schedule (Fiscal Year 2014) Alternate Formats: iCal | Excel | PDF APS Long-Range Operation Schedule 2013-3 2014-1 2014-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2

94

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

95

Do Wind Forecasts Make Good Generation Schedules? Preprint  

SciTech Connect

Energy market scheduling conventions can needlessly increase the wind balancing area's regulation requirements. This economic inefficiency can be eliminated once it is recognized. The paper provides a detailed discussion of these issues.

Dragoon, K.; Kirby, B.; Milligan, M.

2008-06-01T23:59:59.000Z

96

Do Wind Forecasts Make Good Generation Schedules? Preprint  

DOE Green Energy (OSTI)

Energy market scheduling conventions can needlessly increase the wind balancing area's regulation requirements. This economic inefficiency can be eliminated once it is recognized. The paper provides a detailed discussion of these issues.

Dragoon, K.; Kirby, B.; Milligan, M.

2008-06-01T23:59:59.000Z

97

Disposition Schedule: Human Radiation Experiments | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Schedule: Human Radiation Experiments Disposition Schedule: Human Radiation Experiments This database contains information on records collections related to human radiation...

98

PART I - THE SCHEDULE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

reports (ERs) and other documentation required by the Nuclear Regulatory Commission (NRC) in its review of license applications; and, documentation required by other State and...

99

Abstract--Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides scheduling  

E-Print Network (OSTI)

Abstract-- Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides that with NIF scheduling complexity may grow exponentially. Efficiently finding a schedule from an exponential formulation of the NIF scheduling problem, under a wide variety of networking requirements, then introduces

Baldi, Mario

100

Research Note: A high performance algorithm for static task scheduling in heterogeneous distributed computing systems  

Science Conference Proceedings (OSTI)

Effective task scheduling is essential for obtaining high performance in heterogeneous distributed computing systems (HeDCSs). However, finding an effective task schedule in HeDCSs requires the consideration of both the heterogeneity of processors and ... Keywords: Directed acyclic graph, Heterogeneous systems, Heuristics, Parallel processing, Task scheduling

Mohammad I. Daoud; Nawwaf Kharma

2008-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

102

Department Sets Aggressive Schedule for New Appliance Standards |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department Sets Aggressive Schedule for New Appliance Standards Department Sets Aggressive Schedule for New Appliance Standards Department Sets Aggressive Schedule for New Appliance Standards February 1, 2006 - 8:52am Addthis WASHINGTON, DC - The Department of Energy (DOE) today released a schedule for setting new appliance efficiency standards. The five-year plan outlines how DOE will work with all of its partners to address the appliance standards rulemaking backlog and meet all of the statutory requirements established in the Energy Policy and Conservation Act and the Energy Policy Act of 2005 (EPACT 2005). "Improved efficiency saves Americans money and energy," said Acting Assistant Secretary for Energy Efficiency and Renewable Energy, Douglas L. Faulkner. "This aggressive schedule shows our commitment to greater

103

Department Sets Aggressive Schedule for New Appliance Standards |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sets Aggressive Schedule for New Appliance Standards Sets Aggressive Schedule for New Appliance Standards Department Sets Aggressive Schedule for New Appliance Standards February 1, 2006 - 8:52am Addthis WASHINGTON, DC - The Department of Energy (DOE) today released a schedule for setting new appliance efficiency standards. The five-year plan outlines how DOE will work with all of its partners to address the appliance standards rulemaking backlog and meet all of the statutory requirements established in the Energy Policy and Conservation Act and the Energy Policy Act of 2005 (EPACT 2005). "Improved efficiency saves Americans money and energy," said Acting Assistant Secretary for Energy Efficiency and Renewable Energy, Douglas L. Faulkner. "This aggressive schedule shows our commitment to greater

104

42498 PROFESIONAL SKILL SCHEDULE FLYER  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

LEARNING AND WORKFORCE DEVELOPMENT Professional Skills & Technical Training Program 3 rd , 4 th - FY 2013 & 1st Quarter FY 2014 Corporate Schedule These courses have immediate open...

105

Construction Schedule | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

Construction Schedule Current Projects APCF 27-ID and 35-ID LOM438 Pentagon F LOM437 Protocol for halting construction because of vibrations 0614...

106

Sector 9 | Operations and Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Sector 9 Operations and Schedule Contents: 9-ID User Manual 9-BM User Manual Common Tasks Computers and Software Troubleshooting Web Cameras...

107

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

108

Speaker Host Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

User Science Seminar User Science Seminar Previous Speakers User Science Seminar Host Schedule User seminar is hosted by a different XSD group leader every two weeks. If you have any suggestions for possible speakers for the following dates, please contact the appropiate group leader below. Month Host 2012 October 5 & 12, 2012 Peter Chupas October 19 & 26,2012 Jon Almer November 2 & 9,2012 Francesco Decarlo November 16, 2012 Stefan Vogt November 23, 2012 Cancelled - Thanksgiving Holiday December 7, 2012 Stefan Vogt December 14 & 21, 2012 Randy Winans December 28, 2012 Cancelled - Xmas Holiday 2013 Janurary 4-25, 2013 Cancelled - January Shutdown February 1 & 8 , 2013 Lahsen Assoufid February 15 & 22, 2013 Thomas Gog March 1 & 8, 2013 Jonathan Lang

109

_PART I - THE SCHEDULE  

National Nuclear Security Administration (NNSA)

15 dated 9/9/13 Contract No. DE-AC04-94AL85000 15 dated 9/9/13 Contract No. DE-AC04-94AL85000 Modification No. M202 Part I - The Schedule Sections B through H TABLE OF CONTENTS B-1 SERVICES BEING ACQUIRED ...................................................................................... 4 B-2 CONTRACT TYPE AND VALUE (Rev. M218, M222, M236, M241, M261, M266, M288, M293, M312, M319, M344, M365, M400, M404, M443, M448, M473, M484, M0512, A0514) ............................................................................................................................ 4 B-3 AVAILABILITY OF APPROPRIATED FUNDS ................................................................. 8 B-9999 AMERICAN RECOVERY AND REINVESTMENT ACT WORK VALUES (Added M331; Modified: A335, A336, A340, A341, A342, A346, A347, A348, A349, A350,

110

Structure Breakdown Workshop Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Breakdown Breakdown Workshop SLAC, Orange Room August 28 - 30 , 2000 Announcement Workshop Poster Workshop Goals: The Goal of the workshop is to review understanding of warm structure breakdown phenomena, to define common terms for comparing tests and to identify avenues for further study. For a partial bibliography, please view the following URL : http://www-project.slac.stanford.edu/lc/wkshp/RFBreakdwn/references/publist.htm Schedule and Presentations: Monday, August 28 8:30 - Operation Experience and Definition of Problem Moderator - G. Loew (initial questions) Opening remarks and introduction (C. Adolphsen) (15min) CERN Structure Operation Results (W. Wuensch) (30 min) NLCTA Structure Operation Results (C. Adolphsen) (30 min) ASTA Structure Operation Results (R. Loewen) (20 min)

111

schedule_2006.xls  

NLE Websites -- All DOE Office Websites (Extended Search)

6 Long Range Operations Schedule 6 Long Range Operations Schedule (October 2005 - September 2006) 1 1 1 1 → 1 1 1 4 → 1 1 1 1 1 1 2 2 4 → 2 1 → 2 2 2 4 2 2 2 2 2 1 → 2 3 3 4 3 1 → 3 3 3 4 3 3 3 3 3 1 → 3 4 4 4 4 1 → 4 4 4 4 4 4 4 4 4 1 → 4 5 5 4 5 1 → 5 5 5 4 5 5 5 5 5 1 → 5 6 6 4 6 1 6 6 6 4 6 6 6 6 6 1 → 6 7 7 4 7 1 → 7 7 7 4 7 7 7 7 7 1 → 7 8 8 4 8 1 → 8 8 8 4 → 8 8 8 8 8 1 8 9 9 9 1 → 9 9 9 4 9 9 9 9 9 1 → 9 10 10 10 1 → 10 10 10 4 10 10 10 10 10 1 → 10 11 11 11 1 → 11 11 11 4 11 11 11 11 11 1 → 11 12 12 12 1 → 12 12 12 4 12 1 → 12 12 12 4 → 12 1 → 12 13 13 13 1 13 13 13 4 13 1 → 13 13 13 4 13 1 → 13 14 14 14 5 → 14 14 14 14 1 → 14 14 14 4 14 1 → 14 15 15 15 5 15 15 15 15 1 → 15 15 15 4 15 1 15 16 16 16 5 16 16 16 16 1

112

Green Scheduling: Scheduling of Control Systems for Peak Power Reduction  

E-Print Network (OSTI)

approaches for load shifting and model predictive control have been proposed, we present an alternative approach to reduce the peak power for a set of control systems. The proposed model is intuitive, scalableGreen Scheduling: Scheduling of Control Systems for Peak Power Reduction Truong Nghiem, Madhur Behl

Pappas, George J.

113

Accurate Instruction Pre-scheduling in Dynamically Scheduled Processors  

Science Conference Proceedings (OSTI)

The role of the instruction scheduler is to supply instructions to functional units in a timely manner so as to avoid data and structural hazards. Current schedulers are based on the broadcast of result register numbers to all instructions waiting in ...

Woojin Choi; Seok-Jun Park; Michel Dubois

2009-04-01T23:59:59.000Z

114

Preemptive Scheduling in Overloaded Systems  

Science Conference Proceedings (OSTI)

The following scheduling problem is studied: We are given a set of tasks withrelease times, deadlines, and profit rates. The objective is to determine a 1-processor preemptive schedule of the given tasks that maximizes the overall profit. In the standard ...

Marek Chrobak; Leah Epstein; John Noga; Jiri Sgall; Rob van Stee; Tomás Tichý; Nodari Vakhania

2002-07-01T23:59:59.000Z

115

Cache-Conscious Wavefront Scheduling  

Science Conference Proceedings (OSTI)

This paper studies the effects of hardware thread scheduling on cache management in GPUs. We propose Cache-Conscious Wave front Scheduling (CCWS), an adaptive hardware mechanism that makes use of a novel intra-wave front locality detector to capture ...

Timothy G. Rogers; Mike O'Connor; Tor M. Aamodt

2012-12-01T23:59:59.000Z

116

Scheduling resources for throughput maximization  

Science Conference Proceedings (OSTI)

We consider the problem of scheduling a set of resources over time. Each resource is specified by a set of time intervals (and the associated amount of resource available), and we can choose to schedule it in one of these intervals. The goal is to maximize ...

Venkatesan T. Chakaravarthy; Amit Kumar; Vinayaka Pandit; Sambuddha Roy; Yogish Sabharwal

2011-08-01T23:59:59.000Z

117

Fall Orientation Schedule Kresge College  

E-Print Network (OSTI)

1 2011 Fall Orientation Schedule Kresge College University of California Santa Cruz September 16 - 26 60 05 1 25 30 35 40 45 50 55 Kresge College our time is now #12;#12;3 1 Orientation Week Planner your first several days on campus. This Orientation Schedule is designed to help guide you. Use

California at Santa Cruz, University of

118

LCLS Operating Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

LCLS Operating Schedule LCLS Operating Schedule August - December 2009 Ver: 2 10/30/09 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 S Su M T W Th F S Su M T W Th F S Su M T W Th F S Su M T W Th F S Su M 0000-0800 MD MD MD MD MD 0800-1600 ROD MD AMO ROD MD AMO 1600-2400 MD MD Commissioning MD MD Comm. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 T W Th F S Su M T W Th F S Su M T W Th F S Su M T W Th F S Su M T W 0000-0800 MD MD MD MD MD MD MD MD MD 0800-1600 MD ROD AMO MD ROD AMO MD ROD AMO MD ROD AMO ROD 1600-2400 MD MD Commissioning MD MD Commissioning MD MD Commissioning MD MD Commissioning MD 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Th F S Su M T W Th F S Su M T W Th F S Su M T W Th F S Su M T W Th F S 0000-0800 MD MD MD MD MD MD MD MD MD 0800-1600 Young MD ROD DiMauro MD ROD Berrah MD ROD Coffee MD ROD Young-II 1600-2400 L018 MD MD L026 MD MD L015 MD MD L027 MD MD L017 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Su

119

Rate Schedule CV-TPT7  

NLE Websites -- All DOE Office Websites (Extended Search)

TPT7 TPT7 (Supersedes Schedule CV-TPT6) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR TRANSMISSION OF WESTERN POWER BY OTHERS Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To Western's power service customers who require transmission service by a third party to receive power sold by Western. Character and Conditions of Service: Transmission service for three-phase, alternating current at 60-hertz, delivered and metered at the voltages and points of delivery or receipt, adjusted for losses, and delivered to points as

120

Bradbury Science Museum announces winter opening hours  

NLE Websites -- All DOE Office Websites (Extended Search)

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Wholesale Power Rate Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Rate Schedules » Wholesale Power Rate Schedules Services » 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: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina October 1, 2012 Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina October 1, 2012 Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina October 1, 2012 Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina October 1, 2012 MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association

122

Wholesale Power Rate Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Rate Schedules » Wholesale Power Rate Schedules Services » 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: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina October 1, 2012 Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina October 1, 2012 Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina October 1, 2012 Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina October 1, 2012 MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association

123

Online Energy Generation Scheduling for Microgrids with  

E-Print Network (OSTI)

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

Zhang, Junshan

124

Chapter 8 - Required Sources of Supplies and Services | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chapter 8 - Required Sources of Supplies and Services Chapter 8 - Required Sources of Supplies and Services 8.4FederalSupplySchedules1.pdf More Documents & Publications...

125

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules...

126

Rate Schedule COTP-T3  

NLE Websites -- All DOE Office Websites (Extended Search)

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

127

Undergraduate Program Time Limits and Work Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Time Limits and Work Schedules Undergraduate Program Time Limits and Work Schedules Point your career towards LANL: work with the best minds on the planet in an inclusive...

128

EIA Records Schedule 0011.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

RECORD SCHEDULE N1-434-94-001 RECORD SCHEDULE N1-434-94-001 EIA Records Schedule N1-434-94-001 Approved by NARA April 3, 1995 (Some surveys are no longer in use. Read notes at bottom of last page) ITEM NO. DESCRIPTION OF RECORDS AUTHORIZED DISPOSITION Item 1) COAL DISTRIBUTION DATA, 1980-1988. This file contains data on the distribution of U.S. coal by coal-producing district of origin, consumer end-use category, state of destination and method of transportation; also included is export shipment information. This is a closed series. Disposition: PERMANENT. Transfer a copy of the data files and documentation to the National Archives upon approval of this schedule by the Archivist of the United States Item 2) HISTORICAL PLANT COST AND ANNUAL PRODUCTION EXPENSE DATA, 1979-1991.

129

Economic Scheduling in Grid Computing  

Science Conference Proceedings (OSTI)

Grid computing is a promising technology for future computing platforms. Here, the task of scheduling computing resources proves difficult as resources are geographically distributed and owned by individuals with different access and cost policies. This ...

Carsten Ernemann; Volker Hamscher; Ramin Yahyapour

2002-07-01T23:59:59.000Z

130

Argonne CNM: Scheduled Maintenance Periods  

NLE Websites -- All DOE Office Websites (Extended Search)

the CNM will not be available for user activities in laboratories or on the High-Performance Computing Cluster. Please plan your work visits and schedules accordingly. To better...

131

A real time priority scheduler  

Science Conference Proceedings (OSTI)

The real time priority scheduler reported herein evolved from a design effort to provide software aids for handling the interrupts that occur in hybrid computation. Since these interrupts are both internal and external (i.e., generated internal and external ...

Karl Ramsay; Jon C. Strauss

1966-01-01T23:59:59.000Z

132

Underground Injection Control Fee Schedule (West Virginia) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Injection Control Fee Schedule (West Virginia) Injection Control Fee Schedule (West Virginia) Underground Injection Control Fee Schedule (West Virginia) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Program Info State West Virginia Program Type Fees Provider Department of Environmental Protection This rule establishes schedules of permit fees for state under-ground injection control permits issued by the Chief of the Office of Water Resources. This rule applies to any person who is required to apply for and

133

Scheduled oil sampling: A proactive approach towards pollution prevention and waste minimization  

DOE Green Energy (OSTI)

The Waste Reduction Operations Complex (WROC) at the Idaho National Engineering Laboratory (INEL) maintains an emergency fire protection system which provides fire water during emergency conditions. The diesel engine driving this system receives regular preventative maintenance (PM) and servicing. The Waste Minimization Plan for WROC requires that all systems and processes be given a regular assessment to verify any Pollution Prevention (P2) or Waste Minimization (Waste Min.) activities. The WROC Maintenance group has implemented a proactive or best management practice (BMP) that reflects this P2/Waste Min. awareness. The diesel engine is operated for 30 minutes each week to maintain its readiness. A typical owner`s manual for industrial engines require that the oil be changed every 100-hours of operation or 6-months; only 13-hours of operation occur during the 6-months before the required oil change. Thirteen hours of operation would not warrant changing the oil. The WROC proactive approach to this problem is to perform an annual Scheduled Oil Sampling (SOS). An 8-ounce sample of oil is obtained and sent to a SOS lab. The SOS lab analyzes the condition (breakdown) of the oil and, provides a detailed analysis of metal particulates (from engine wear), and checks for impurities, such as, sulphur, water, coolant, and fuel in the system. The oil is changed only when the sampling results warrant that an oil change is necessary. The actual costs of the oil, filters, and labor far exceed the costs of performing the SOS. The projected cost savings after 8 years is about $12,000 in labor, oil changing costs, and hazardous waste analysis.

Reece, C.; Zirker, L.

1995-11-01T23:59:59.000Z

134

Wholesale Power Rate Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Schedules Schedules Wholesale Power Rate Schedules October 1, 2011 CBR-1-H Wholesale Power Rate Schedule Area: Big Rivers and Henderson, KY System: CU October 1, 2011 CSI-1-H Wholesale Power Rate Schedule Area: Southern Illinois System: CU October 1, 2011 CK-1-H Wholesale Power Rate Schedule Area: KU Area System: CU October 1, 2011 CEK-1-H Wholesale Power Rate Schedule Area: East Kentucky System: CU October 1, 2011 CC-1-I Wholesale Power Rate Schedule Area: CP&L Area, Western Division System: CU September 20, 2011 JW-1-J Wholesale Power Rate Schedule Area: Woodruff Preference Customer System: Jim Woodruff September 20, 2011 JW-2-F Wholesale Power Rate Schedule Area: Florida Power Corporation System: Jim Woodruff November 17, 2010 AP-1-B Wholesale Power Rate Schedule Area: American Electric Power

135

Schedule of Winter Deadlines  

E-Print Network (OSTI)

What's New? UC Online Courses Pilot In upcoming Winter/Spring 2014 terms, the University of California Find-a-Class feature, students are able to search classes and enroll directly from the search page, but it also allows them to enter other mathematics-related fields that require a strong understanding

Williams, Gary A.

136

Emergency Medical Treatment Required  

E-Print Network (OSTI)

Emergency Medical Treatment Required Non-Emergency Medical Treatment Required If possible, get help present if possible OptaComp will complete the "First Report of Injury or Illness" and authorize medical Investigation Report" to Environmental Health & Safety within 48 hours Emergency Medical Treatment Required

Weston, Ken

137

PART I - SCHEDULE  

NLE Websites -- All DOE Office Websites (Extended Search)

H H SPECIAL CONTRACT REQUIREMENTS H.1 CONSECUTIVE NUMBERING (MAY 1997) ............................................................... 4 H.2 MODIFICATION AUTHORITY (MAY 1997) ............................................................. 4 H.3 OVERSIGHT OF CONTRACTOR (OCT 2004)........................................................... 4 H.4 SMALL BUSINESS SUBCONTRACTING PLAN (SEPT 1999) ................................ 5 H.5 SAFEGUARDS AND SECURITY AWARENESS PROGRAM (MAY 1997) ........... 5 H.6 QUALITY ASSURANCE SYSTEM ALTERNATE I (JUL 2004) .............................. 5 H.7 CONFIDENTIALITY OF INFORMATION (MAY 1997) ........................................... 6 H.8 INDIRECT COSTS (AUG 2012) ..................................................................................... 7

138

Community-Aware Scheduling Protocol for Grids  

Science Conference Proceedings (OSTI)

Much work has been done to exploit the effectiveness and efficiency of job scheduling upon distributed computational––resources. With regard to existing resource topology and administrative constraints, scheduling approaches are designed ... Keywords: Community-Aware Scheduling Protocol, CASP, Grid, Scheduling, SmartGRID, MaGate

Ye Huang; Amos Brocco; Nik Bessis; Pierre Kuonen; Beat Hirsbrunner

2010-04-01T23:59:59.000Z

139

Job Scheduling Policy on BG/P Systems | Argonne Leadership Computing  

NLE Websites -- All DOE Office Websites (Extended Search)

on BG/P Systems on BG/P Systems Contents Intrepid Job Scheduling Intrepid Queue User interface Backfill queue Big Run Monday Challenger Scheduling Policy Surveyor Job Scheduling General Scheduling Guidelines System Maintenance Day Reservations Back to top Intrepid Job Scheduling Back to top Intrepid Queue User Queue Queue Nodes Wall-clock Time (hours) Maximum Jobs Per User Maximum Jobs Per Project prod prod-short 512 - 4096 0 - ≤6 5 20 prod-long 512 - 4096 >6 - 12 5 20 prod-capability 4097 - 32768 0 - 24 2 2 prod-bigrun 32769 - 40960 0 - 24 1 1 backfill (‡) 512 - 8192 0 - 6 5 10 (per user) ‡: Depending on the type of project (INCITE, ALCC, Director's Discretionary), this queue may be automatically selected if a project's allocation is negative. Back to top

140

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

142

NERSC Edison Phase I Hours Used Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

143

The Impact of Solar Photovoltaic Generation on Balancing Requirements in the Southern Nevada System  

Science Conference Proceedings (OSTI)

Abstract—The impact of integrating large-scale solar photovoltaic (PV) generation on the balancing requirements in terms of regulation and load-following requirements in the southern Nevada balancing area is evaluated. The “swinging door” algorithm and the “probability box” method developed by Pacific Northwest National Laboratory (PNNL) were used to quantify the impact of large PV generation on the balancing requirements of the system operations. The system’s actual scheduling, real-time dispatch and regulation processes were simulated. Different levels of distributed generation were also considered in the study. The impact of hourly solar PV generation forecast errors on regulation and load-following requirements was assessed. The sensitivity of balancing requirements with respect to real-time forecast errors of large PV generation was analyzed. Index Terms—Ancillary services, balancing requirements, load following, regulation, renewables integration, swinging door

Ma, Jian; Lu, Shuai; Hafen, Ryan P.; Etingov, Pavel V.; Makarov, Yuri V.; Chadliev, Vladimir

2012-05-07T23:59:59.000Z

144

Argonne National Lab Cleanup schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Takes Steps to Complete Clean-Up of Argonne by 2003; Takes Steps to Complete Clean-Up of Argonne by 2003; Schedule for Shipping Waste to WIPP is 'Good News' for Illinois CARLSBAD, N.M., May 15, 2000 - The U.S. Department of Energy (DOE) reinforced plans to complete the clean-up of its Argonne National Laboratory-East site in Illinois by 2003 by accelerating its schedule for shipping transuranic waste to DOE's permanent disposal site in New Mexico. Previously, the shipments were not expected to begin before 2003. Under the accelerated schedule, shipments to DOE's Waste Isolation Pilot Plant (WIPP) near Carlsbad, New Mexico, are expected to begin in Spring 2001 and be completed by the end of the calendar year. Characterization of the waste currently stored at Argonne will begin this October. This agreement is a major step in honoring Argonne and DOE's commitment to the community to

145

Load Scheduling with Profile Information  

E-Print Network (OSTI)

. Within the past five years, many manufactures have added hardware performance counters to their microprocessors to generate profile data cheaply. We show how to use Compaq's DCPI tool to determine load latencies which are at a fine, instruction granularity and use them as fodder for improving instruction scheduling. We validate our heuristic for using DCPI latency data to classify loads as hits and misses against simulation numbers. We map our classification into the Multiflow compiler's intermediate representation, and use a locality sensitive Balanced scheduling algorithm. Our experiments illustrate that our algorithm improves run times by 1% on average, but up to 10% on a Compaq Alpha. 1 Introduction This paper explores how to use hardware performance counters to produce fine grain latency information to improve compiler scheduling. We use this information to hide latencies with any available instruction level parallelism (ILP). (ILP for an instruction is the number of o...

Götz Lindenmaier; Kathryn S. McKinley; Olivier Temam

2000-01-01T23:59:59.000Z

146

Exploring decentralized dynamic scheduling for grids and clouds using the community-aware scheduling algorithm  

Science Conference Proceedings (OSTI)

Job scheduling strategies have been studied for decades in a variety of scenarios. Due to the new characteristics of the emerging computational systems, such as the grid and cloud, metascheduling turns out to be an important scheduling pattern because ... Keywords: Cloud, Community-aware scheduling algorithm (CASA), Grid, Meta-scheduling, Scheduling, SmartGRID

Ye Huang; Nik Bessis; Peter Norrington; Pierre Kuonen; Beat Hirsbrunner

2013-01-01T23:59:59.000Z

147

PART I - THE SCHEDULE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

J-2 to DE-AM52-09NA28021 J-2 to DE-AM52-09NA28021 STATEMENT OF WORK FOR NATIONAL ENVIRONMENTAL POLICY ACT (NEPA) SUPPORT SERVICES ACQUISITION PREPARATION AND REVIEW OF ENVIRONMENTAL IMPACT STATEMENTS, ENVIRONMENTAL ASSESSMENTS, ENVIRONMENTAL REPORTS, AND OTHER ENVIRONMENTAL DOCUMENTATION dated November 5, 2007 1.0 INTRODUCTION During the next five years, the U.S. Department of Energy's (DOE) Program and Field Offices nationwide, including the National Nuclear Security Agency (NNSA) and the Federal Energy Regulatory Commission (FERC) and their offices, will require Contractor support services for the preparation of environmental impact statements (EISs), environmental assessments (EAs) and related documents under the National Environmental Policy Act (NEPA);

148

Conceptual scheduling model and optimized release scheduling for agile environments  

Science Conference Proceedings (OSTI)

Context: Release scheduling deals with the selection and assignment of deliverable features to a sequence of consecutive product deliveries while several constraints are fulfilled. Although agile software development represents a major approach to software ... Keywords: Agile software development, Planning metamodel, Release planning

Ákos Szke

2011-06-01T23:59:59.000Z

149

Occupancy Simulation Schedule Appendix C -Occupancy Simulation Schedule  

E-Print Network (OSTI)

into the electrical panel for run times commensurate with identified use profiles. The profiles enabled sought Figure C.1 and Figure C.2 present the load simulation and occupancy schedules for the lab homes highly insulating windows demonstration. The bases for occupancy simulation were data and analysis developed

150

Technical Qualification Program Accreditation Schedule  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Qualification Program (TQP) Accreditation Schedule Qualification Program (TQP) Accreditation Schedule (Note 1) Year 2013 2014 Month Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec P Site/Office EM Sites/Offices Y Carlsbad Field Office ? Consolidated Business Center Y Office of River Protection (Note 3) ? Office of Site Support and Small Projects N Portsmouth/Paducah Project Office Y Richland Operations Office (Note 3) Y Savannah River Operations Office N Office of Environmental Management SC Sites/Offices

151

Records Schedule Contractor Checks  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

REQUEST FOR RECORDS DlSPOSlTlON AWTHORlW I REQUEST FOR RECORDS DlSPOSlTlON AWTHORlW I ' O B N ~ U R ~ ~ ( 5 0 s I n s rrucrigns on r e v r r r m ) , .- , ' 1 0 NATIOXAL ARCHIVES and RECORDS ADMWIS?IWTION WR) lp"TE ~~~~k~ f . WASHINGTON. l X 20408 21- , f - $+$ [ r . F R O M (Agenc y o r w t l a b l ~ g h m ~ n l ) - Washington, DC 20585 Department of Energy -- -2, M ~ O R S U B D ~ V I S ~ O N . ' 3 MINOR SL)BDWISION 6 AGENCY CERTIFICATION I hereby ccnity that I am authorized to act for thir and that the rrcords roposed for dfsposal on of thir agency or vilrnor be needed after the the General Accounting Office, under the provisions Q Manual for Guidance of Federal Agencies, is nor required; a is attached; or hhu been rrqucrtcd. m u . Team Leader, Recards Mgt. '4, NAME OF P E R S O N wIm WHOM To CONFER .5. E L W H O N L A Mary AM Wallace . --..-*- -

152

1996 Wholesale Power and Transmission Rate Schedules.  

Science Conference Proceedings (OSTI)

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

United States. Bonneville Power Administration.

1996-10-01T23:59:59.000Z

153

Dynamic Scheduling via Polymatroid Optimization  

Science Conference Proceedings (OSTI)

Dynamic scheduling of multi-class jobs in queueing systems has wide ranging applications, but in general is a very difficult control problem. Here we focus on a class of systems for which conservation laws hold. Consequently, the performance space becomes ...

David D. Yao

2002-01-01T23:59:59.000Z

154

ORIENTATION SCHEDULE POSTGRADAUTE TAUGHT PROGRAMMES  

E-Print Network (OSTI)

ORIENTATION SCHEDULE POSTGRADAUTE TAUGHT PROGRAMMES FRIDAY, 25TH SEPTEMBER 2009 TIME: 2.00PM - 5 Opportunities· Refreshments· To register for the Orientation Programme and a Campus Tour kindly log on to: www.dcu.ie/postgraduate_orientationDCUcommunityforthefirsttime,youshallbeprovidedwithinformation about your programme and other School-related aspects of your programme. The Orientation Programme

Blott, Stephen

155

Schedule of Classes Spring 2006  

E-Print Network (OSTI)

. In addition, a new Dance subject area was established. This makes dance classes easier to find in the Schedule student), not on the number of enrolled units. They do not include additional course or unit-based fees. For additional deadline informa- tion, see the Ashe Center website at http://www.studenthealth.ucla .edu

Grether, Gregory

156

Load Scheduling with Profile Information  

E-Print Network (OSTI)

Abstract Within the past five years, many manufactureshave added hardware performance counters to their microprocessors to generate profile data cheaply.Translating aggregate data such as basic block execution frequencies from the executable to the com-piler intermediate representation is fairly straightforward. In this paper, we show how to use Com-paq's DCPI tool to determine load latencies which are at a fine, instruction granularity and then usethem to provide fodder for improving instruction scheduling. We validate our heuristic for usingDCPI latency data to classify loads as hits and misses against simulation numbers, demonstratingthat we can gather correct latencies cheaply at runtime. We map our classification into the Multiflowcompiler's intermediate representation, and use a locality sensitive Balanced scheduling algorithm. Ourexperiments illustrate that our algorithm has the potential to improve run times by up to 10 % on a Com-paq Alpha when compared to Balanced scheduling, but that a variety of pitfalls make consistent im-provements difficult to attain. 1 Introduction In this paper, we explore how to use hardware per-formance counters to produce fine grain latency information to improve compiler scheduling. We usethis information to hide latencies with any avail\\Lambda The authors

unknown authors

1999-01-01T23:59:59.000Z

157

A hierarchical reliability-driven scheduling algorithm in grid systems  

Science Conference Proceedings (OSTI)

In a Grid computing system, many distributed scientific and engineering applications often require multi-institutional collaboration, large-scale resource sharing, wide-area communication, etc. Applications executing in such systems inevitably encounter ... Keywords: Application, Grid computing, Hierarchical, Reliability, Scheduling algorithm

Xiaoyong Tang; Kenli Li; Meikang Qiu; Edwin H. -M. Sha

2012-04-01T23:59:59.000Z

158

A routing architecture for scheduled dynamic circuit services  

Science Conference Proceedings (OSTI)

A wide range of applications in the nascent field of cloud computing and in other fields require stable, low-delay wide-area connectivity together with capabilities of co-scheduling network and server resources. As a result, both research and commercial ...

Malathi Veeraraghavan; David Starobinski

2010-11-01T23:59:59.000Z

159

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

160

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

162

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

163

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

Energy.gov (U.S. Department of Energy (DOE))

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

164

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

NLE Websites -- All DOE Office Websites (Extended Search)

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

165

UR Self-Service Hours of Operation Available 24/7, except for daily updates  

E-Print Network (OSTI)

5) Choose the Term 6) Search for courses by subject, and narrow down your search by course number for Classes 4) Select a Term To Add a Course 1) Scroll down to Add Class Worksheet 2) Enter your CRN 2) Class Schedules 3) Class Sections Requiring Staff Registration 4) Select a term 5) Search

Argerami, Martin

166

The Design and Performance of a Real-Time CORBA SchedulingService  

Science Conference Proceedings (OSTI)

There is increasing demand to extend CORBA middleware to support applications with stringent quality of service (QoS) requirements. However, conventional CORBA middleware does not define standard features to dynamically schedule operations for ... Keywords: distributed systems, dynamic scheduling algorithms and analysis, middleware and APIs, mission critical /safety critical systems, quality of service issues

Christopher D. Gill; David L. Levine; Douglas C. Schmidt

2001-03-01T23:59:59.000Z

167

A multi-agent simulation system for prediction and scheduling of aero engine overhaul  

E-Print Network (OSTI)

The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine overhauls to remain competitive in a complex business arena. An appropriate technology solution is required to achieve efficient schedules while satisfying multiple opposing constraints in a highly dynamic environment. In this paper, we describe Overhaul Prediction and Scheduling, an agentbased simulator developed to tackle this challenge. Using negotiation strategies, it deals with the multi-dimensional scheduling optimisation problem by trading off repair costs, capacity and capability of overhaul bases, among others, in light of in-service unforseen events. It supports effective strategic decision-making via business scenario modelling.

Armin Stranjak; Partha Sarathi Dutta; Mark Ebden; Alex Rogers; Perukrishnen Vytelingum

2006-01-01T23:59:59.000Z

168

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

NLE Websites -- All DOE Office Websites (Extended Search)

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

169

Optimal scheduling of fighter aircraft maintenance  

E-Print Network (OSTI)

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

Cho, Philip Y

2011-01-01T23:59:59.000Z

170

Co-scheduling hardware and software pipelines  

E-Print Network (OSTI)

In this paper we propose CO-Scheduling, a framework for simultaneous design of hardware pipelines struc-tures and software-pipelined schedules. Two important components of the Co-Scheduling framework are: (1) An extension to the analysis of hardware pipeline design that meets the needs of periodic (or software pipelined) schedules. Reservation tables, forbidden la-tencies, collision vectors, and state diagrams from classical pipeline theory are revisited and extended to solve the new problems. (2) An efficient method, based on the above extension of pipeline analysis, to perform (a) software pipeline scheduling and (b) hardware pipeline reconfiguration which are mutually “compatible ”. The proposed method has been implemented and pre-liminary experimental results for 1008 kernel loops are reported. Co-scheduling successfully obtains a sched-ule for 95 % of these loops. The median time to obtain these schedules is 0.25 seconds on a Sparc-20. Keywords:

R. Govindarajan; Erik R. Altman; Guang R. Gao

1996-01-01T23:59:59.000Z

171

Graduate Program Time Limits and Work Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

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

172

ALS Operating Schedule on Google Calendar  

NLE Websites -- All DOE Office Websites (Extended Search)

ALS Operating Schedule on Google Calendar Print ALS Operating Schedule Your browser does not appear to support JavaScript, but this page needs to use JavaScript to display...

173

ALS Operating Schedule on Google Calendar  

NLE Websites -- All DOE Office Websites (Extended Search)

Operating Schedule on Google Calendar Print ALS Operating Schedule Your browser does not appear to support JavaScript, but this page needs to use JavaScript to display correctly....

174

Using Operational Weather Data to Schedule Fungicide Sprays on Tomatoes in Southern Ontario, Canada  

Science Conference Proceedings (OSTI)

A fungicide-spray scheduling scheme for tomatoes called TOM-CAST (tomato forecaster) was adapted for use with operational weather data in order to increase the number of users by eliminating the need for in-field measurements of hourly ...

T. J. Gillespie; B. Srivastava; R. E. Pitblado

1993-03-01T23:59:59.000Z

175

ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS...  

NLE Websites -- All DOE Office Websites (Extended Search)

DISPOSAL RECORDS (Revision 2) More Documents & Publications Records Management Handbook PROPERTY DISPOSAL RECORDS ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND...

176

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

177

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

178

Weekly Petroleum Status Report Schedule  

Gasoline and Diesel Fuel Update (EIA)

Weekly Petroleum Status Report Weekly Petroleum Status Report Release Schedule The wpsrsummary.pdf, overview.pdf, and Tables 1-14 in CSV and XLS formats, are released to the Web site after 10:30 a.m. (Eastern Time) on Wednesday. All other PDF and HTML files are released to the Web site after 1:00 p.m. (Eastern Time) on Wednesday. Appendix D is produced during the winter heating season, which extends from October through March of each year. For some weeks which include holidays, releases are delayed by one day. Holiday Release Schedule The standard release time and day of the week will be at 10:30 a.m. (Eastern time) on Wednesdays with the following exceptions. All times are Eastern. Data for the week ending Alternate Release Date Release Day Release Time Holiday October 11, 2013 October 21, 2013 Monday 10:30 a.m. Columbus/EIA Closed

179

FIMS Data Validation Schedule FY 2010_090729.xls | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls More Documents & Publications...

180

SNS Run Schedule for FY 2012 | ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (Extended Search)

Home Facilities SNS SNS Operating Status FY 2012 Run Schedule SNS Run Schedule for FY 2012 (Oct. 2011-Sep. 2012) Printable version Excel version SNS Run Schedule...

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

A novel algorithm for dynamic task scheduling  

Science Conference Proceedings (OSTI)

This paper deals with the problem of dynamic task scheduling in grid environment of multi-processors. First, this paper formulates task scheduling as an optimization problem and then optimizes with a novel hybrid optimization algorithm. The proposed ... Keywords: Bacteria foraging optimization, Genetic algorithms, Grid computing, Task scheduling

Sasmita Kumari Nayak; Sasmita Kumari Padhy; Siba Prasada Panigrahi

2012-05-01T23:59:59.000Z

182

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

Abstract—Molecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

183

2002 SSRL Accelerator Physics Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

SSRL Accelerator Physics Schedule SSRL Accelerator Physics Schedule Proposal Deadline Schedule Announcement Experimental Period Duration Mon, Nov 05, '01 17:00 Tue, Nov 06, '01 13:00 Mon, Nov 12, '01 18:00-Wed, Nov 14, '01 02:00 32 hrs Mon, Dec 03, '01 17:00 Tue, Dec 04, '01 13:00 Mon, Dec 10, '01 06:00-Wed, Dec 12, '01 02:00 44 hrs Mon, Dec 17, '01 09:00 Tue, Dec 18, '01 13:00 Mon, Jan 07, 18:00-Wed, Jan 9, 02:00 32 hrs Mon, Jan 14, 12:00 Tue, Jan 15, 13:00 Tue, Jan 22, 06:00-Thu, Jan 24, 02:00 44 hrs Mon, Jan 28, 17:00 Tue, Jan 29, 17:00 Tue, Feb 05, 18:00-Thu, Feb 07, 02:00 32 hrs Mon, Feb 11, 17:00 Tue, Feb 12, 17:00 Tue, Feb 19, 06:00-Wed, Feb 20, 02:00 20 hrs Mon, Feb 25, 17:00 Tue, Feb 26, 13:00 Mon, Mar 04, 18:00-Wed, Mar 06, 02:00 32 hrs Mon, Mar 11, 17:00 Tue, Mar 12, 13:00 Mon, Mar 18, 06:00-Wed, Mar 20, 02:00 44 hrs

184

1999 SSRL Accelerator Physics Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

9 SSRL Accelerator Physics Schedule 9 SSRL Accelerator Physics Schedule Proposal Deadline Schedule Announcement Experimental Period Duration Mon, Nov 30, '98 17:00 Tue, Dec 01, '98 13:00 Mon, Dec 07, '98 06:00-Wed, Dec 09, '98 02:00 44 hrs Mon, Jan 04, 17:00 Tue, Jan 05, 13:00 Mon, Jan 11, 18:00-Wed, Jan 13, 02:00 32 hrs Fri, Jan 15, 17:00 Tue, Jan 19, 13:00 Mon, Jan 25, 06:00-Wed, Jan 27, 02:00 44 hrs Mon, Feb 01, 17:00 Tue, Feb 02, 13:00 Tue, Feb 09, 18:00-Thu, Feb 11, 02:00 32 hrs Tue, Feb 16, 17:00 Wed, Feb 17, 17:00 Mon, Feb 22, 06:00-Wed, Feb 24, 02:00 44 hrs Mon, Mar 01, 17:00 Tue, Mar 02, 13:00 Mon, Mar 08, 18:00-Wed, Mar 10, 02:00 32 hrs Mon, Mar 15, 17:00 Tue, Mar 16, 13:00 Mon, Mar 22, 06:00-Wed, Mar 24, 02:00 44 hrs Mon, Apr 12, 17:00 Tue, Apr 13, 13:00 Mon, Apr 19, 06:00-Wed, Apr 21, 02:00 44 hrs

185

This Week In Petroleum Schedule  

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

This Week In Petroleum Schedule This Week In Petroleum Schedule Holiday Release Schedule for the This Week In Petroleum The standard release time and day of the week will be after 1:00 p. m. (Eastern time) on Wednesdays with the following exceptions. Data for the week ending Alternate Release Date Release Day Release Time Holiday November 8, 2013 November 14, 2013 Thursday after 1:00 p.m. Veterans December 20, 2013 December 27, 2013 Friday after 1:00 p.m. Christmas December 27, 2013 January 3, 2014 Friday after 1:00 p.m. New Year's January 17, 2014 January 23, 2014 Thursday after 1:00 p.m. Martin Luther King Jr. February 14, 2014 February 20, 2014 Thursday after 1:00 p.m. President's May 23, 2014 May 29, 2014 Thursday after 1:00 p.m. Memorial August 29, 2014 September 4, 2014 Thursday after 1:00 p.m. Labor

186

1998 SSRL Accelerator Physics Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

SSRL Accelerator Physics Schedule SSRL Accelerator Physics Schedule Proposal Deadline Schedule Announcement Experimental Period Duration Tue, Nov 11, 17:00 Wed, Nov 12, '97 17:00 Mon, Nov 17, '97 18:00-Wed, Nov 19, '97 02:00 32 hrs Mon, Dec 01, '97 17:00 Tue, Dec 02, '97 13:00 Mon, Dec 08, '97 06:00-Wed, Dec 10, '97 02:00 44 hrs Mon, Jan 05, 17:00 Tue, Jan 06, 13:00 Mon, Jan 12, 18:00-Wed, Jan 14, 02:00 32 hrs Fri, Jan 16, 17:00 Tue, Jan 20, 13:00 Mon, Jan 26, 06:00-Wed, Jan 28, 02:00 44 hrs Mon, Feb 02, 17:00 Tue, Feb 03, 13:00 Tue, Feb 10, 18:00-Thu, Feb 12, 02:00 32 hrs Tue, Feb 17, 17:00 Wed, Feb 18, 17:00 Mon, Feb 23, 06:00-Wed, Feb 25, 02:00 44 hrs Mon, Mar 02, 17:00 Tue, Mar 03, 13:00 Mon, Mar 09, 18:00-Wed, Mar 11, 02:00 32 hrs Mon, Mar 16, 17:00 Tue, Mar 17, 13:00 Mon, Mar 23, 06:00-Wed, Mar 25, 02:00 44 hrs

187

1997 SSRL Accelerator Physics Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

SSRL Accelerator Physics Schedule SSRL Accelerator Physics Schedule Proposal Deadline Schedule Announcement Experimental Period Duration Mon, Nov 11, '96 17:00 Tue, Nov 12, '96 13:00 Tue, Nov 19, '96 15:00-Wed, Nov 20, '96 02:00 11 hrs Mon, Dec 02, '96 17:00 Tue, Dec 03, '96 13:00 Mon, Dec 09, '96 06:00-Wed, Dec 11, '96 02:00 44 hrs Mon, Jan 06, 17:00 Tue, Jan 07, 13:00 Mon, Jan 13, 18:00-Wed, Jan 15, 02:00 32 hrs Mon, Jan 20, 17:00 Tue, Jan 21, 13:00 Mon, Jan 27, 06:00-Wed, Jan 29, 02:00 44 hrs Mon, Feb 03, 17:00 Tue, Feb 04, 13:00 Tue, Feb 11, 18:00-Thu, Feb 13, 02:00 32 hrs Mon, Feb 18, 09:30 Tue, Feb 18, 13:00 Mon, Feb 24, 06:00-Wed, Feb 26, 02:00 44 hrs Mon, Mar 03, 17:00 Tue, Mar 04, 13:00 Mon, Mar 10, 18:00-Wed, Mar 12, 02:00 32 hrs Mon, Mar 17, 17:00 Tue, Mar 18, 13:00 Mon, Mar 24, 06:00-Wed, Mar 26, 02:00 44 hrs

188

2000 SSRL Accelerator Physics Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

SSRL Accelerator Physics Schedule SSRL Accelerator Physics Schedule Proposal Deadline Schedule Announcement Experimental Period Duration Mon, Nov 08, '99 17:00 Tue, Nov 09, '99 13:00 Mon, Nov 15, '99 18:00-Wed, Nov 17, '99 02:00 32 hrs Mon, Nov 29, '99 17:00 Tue, Nov 30, '99 13:00 Mon, Dec 06, '99 06:00-Wed, Dec 08, '99 02:00 44 hrs Mon, Jan 03, 17:00 Tue, Jan 04, 13:00 Mon, Jan 10, 18:00-Wed, Jan 12, 02:00 32 hrs Fri, Jan 14, 17:00 Tue, Jan 18, 13:00 Mon, Jan 24, 06:00-Wed, Jan 26, 02:00 44 hrs Mon, Feb 14, 17:00 Tue, Feb 15, 17:00 Tue, Feb 22, 06:00-Thu, Feb 24, 02:00 44 hrs Mon, Feb 28, 17:00 Tue, Feb 29, 13:00 Mon, Mar 06, 18:00-Wed, Mar 08, 02:00 32 hrs Mon, Mar 13, 17:00 Tue, Mar 14, 13:00 Mon, Mar 20, 06:00-Wed, Mar 22, 02:00 44 hrs Mon, Apr 10, 17:00 Tue, Apr 11, 13:00 Mon, Apr 17, 06:00-Wed, Apr 19, 02:00 44 hrs

189

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

190

QUICK scheduler a time-saving tool for scheduling class sections  

Science Conference Proceedings (OSTI)

QUICK Scheduler is a web-based application to help students and academic advisors with the scheduling process. At the point where a student knows what courses he or she will take in a given semester, the courses can be put into the scheduler and the ... Keywords: class scheduling, registration tool, software maintenance, student software development

Cherry Keahey Owen

2005-11-01T23:59:59.000Z

191

Scheduling trains as a blocking parallel-machine job shop scheduling problem  

Science Conference Proceedings (OSTI)

In this paper, the train scheduling problem is modelled as a blocking parallel-machine job shop scheduling (BPMJSS) problem. In the model, trains, single-track sections and multiple-track sections, respectively, are synonymous with jobs, single machines ... Keywords: Blocking, Job shop scheduling, Parallel machine, Train scheduling

Shi Qiang Liu; Erhan Kozan

2009-10-01T23:59:59.000Z

192

Laws, Policies, and Schedules | Scientific and Technical Information  

Office of Scientific and Technical Information (OSTI)

Mandates and Guidance Mandates and Guidance Laws, Policies, and Schedules Print page Print page Email page Email page Dissemination of scientific and technical information (STI) resulting from Department of Energy (DOE) research and development programs to promote scientific progress and public understanding has been a fundamental requirement since the founding of the Department and its predecessor agencies. A number of laws require the Department to make its information available, while others place some limits on the dissemination of scientific and technical information for which the unauthorized release would be detrimental to national interests. DOE O 241.1B provides the overall DOE objective, requirements, and responsibilities within which these mandates are to be met. Following are laws, policies, schedules and

193

Microsoft Word - Changes-to-Schedules _Recovered_  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Changes-to-Schedules Changes-to-Schedules REV 5 DOE Administrative Records Schedules Changes Last revised: 12/10/2010 Date DOE Admin Schedule Item(s) Change Authorizing Document 9/15/10 - 12/10/2010 1-6, 9, 11-12, 14, 16-18, 22- 23 Various Removal of items at the end of each schedule for e-mail and word processing copies, which were added to the GRS in Transmittal Number 8. For schedules in which this item is located elsewhere and removal would cause changes in the sequence of item numbers, the item was changed to "Reserved" (Schedules ,4,5, and 14.) GRS Transmittal Number 22 9/15/2010 1 23.b.(3) Deleted citation, 5 CFR 214. GRS Transmittal Number 22 1 25.a. Text deleted "and as described in 29 CFR 1614." GRS Transmittal Number 22

194

Scheduling to Be Competitive in Supply Chains  

E-Print Network (OSTI)

We assume an open supply chain environment where organizations in a globalized trading scenario can sub-contract out sub-tasks to other organizations through a contracting process. Manufacturers are assumed to award sub-contracts to bidding suppliers using an auction scheme. Of particular interest in this environment is the task scheduling strategies used by suppliers in response to manufacturer-announced task contracts. Tasks can be characterized by their constraints including their length and scheduling window. Task scheduling decisions for a supplier should be targeted towards creating a schedule that is flexible in accommodating short-notice tasks or schedule adjustments due to unforeseen events. We experimentally evaluate the effects of different scheduling heuristics in accommodating different task mixes. We also investigate the effects of a price adjustment scheme to adjust bids when an agent perceives reduced competition from other suppliers. Our simulation results identify the environmental niches for different scheduling heuristics. 1

Partha Sarathi Dutta; Sandip Sen; Ip Sen; Rajatish Mukherjee

2001-01-01T23:59:59.000Z

195

APS Long Range Operations Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

3) 3) Alternate Formats: iCal | Excel | PDF APS Long-Range Operation Schedule 2012-3 2013-1 2013-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5

196

APS Long Range Operations Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

2) 2) Alternate Formats: iCal | Excel | PDF APS Long-Range Operation Schedule 2011-3 2012-1 2012-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5

197

APS Long Range Operations Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

1) 1) Alternate Formats: iCal | Excel | PDF APS Long-Range Operation Schedule 2010-3 2011-1 2011-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5

198

A survey of dynamic scheduling in manufacturing systems  

Science Conference Proceedings (OSTI)

In most real-world environments, scheduling is an ongoing reactive process where the presence of a variety of unexpected disruptions is usually inevitable, and continually forces reconsideration and revision of pre-established schedules. Many of the ... Keywords: Agent-based scheduling, Dynamic scheduling, Predictive---reactive scheduling, Robust scheduling

Djamila Ouelhadj; Sanja Petrovic

2009-08-01T23:59:59.000Z

199

APS Long Range Schedule 2000  

NLE Websites -- All DOE Office Websites (Extended Search)

APS FY2000 Beamline Operations Schedule APS FY2000 Beamline Operations Schedule JAN Monday Tuesday Wednesday Thursday Friday Saturday Sunday Week 1 10 11 12 13 14 15 16 0000-0800 SM SM SM SM SM MS MS 0800 - 1600 SM SM SM SM MS MS MS 1600 - 2400 SM SM SM SM MS MS MS Week 2 17 18 19 20 21 22 23 0000 - 0800 MS MS MS UO UO UO UO 0800 - 1600 MS MS UO UO UO UO UO 1600 - 2400 MS MS UO UO UO UO UO Week 3 24 25 26 27 28 29 30 0000 - 0800 UO UO UO UO UO UO UO 0800 - 1600 UO MS UO UO UO UO UO 1600 - 2400 UO UO UO UO UO UO UO JAN/FEB 31 1 2 3 4 5 6 0000 - 0800 UO MS MS UO UO UO UO 0800 - 1600 MS MS UO UO UO UO UO 1600 - 2400 MS MS UO UO UO UO UO Week 5 7 8 9 10 11 12 13 0000 - 0800 UO UO UO UO UO UO UO

200

Definition: Net Interchange Schedule | Open Energy Information  

Open Energy Info (EERE)

Interchange Schedule Interchange Schedule Jump to: navigation, search Dictionary.png Net Interchange Schedule The algebraic sum of all Interchange Schedules with each Adjacent Balancing Authority.[1] Related Terms Balancing Authority, Adjacent Balancing Authority, Interchange, Interchange Schedule, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Net_Interchange_Schedule&oldid=502531" Categories: Definitions ISGAN Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration  

E-Print Network (OSTI)

Integrating volatile renewable energy resources into the bulk power grid is challenging, due to the reliability requirement that at each instant the load and generation in the system remain balanced. In this study, we tackle this challenge for smart grid with integrated wind generation, by leveraging multi-timescale dispatch and scheduling. Specifically, we consider smart grids with two classes of energy users - traditional energy users and opportunistic energy users (e.g., smart meters or smart appliances), and investigate pricing and dispatch at two timescales, via day-ahead scheduling and realtime scheduling. In day-ahead scheduling, with the statistical information on wind generation and energy demands, we characterize the optimal procurement of the energy supply and the day-ahead retail price for the traditional energy users; in realtime scheduling, with the realization of wind generation and the load of traditional energy users, we optimize real-time prices to manage the opportunistic energy users so as...

He, Miao; Zhang, Junshan

2010-01-01T23:59:59.000Z

202

Spent nuclear fuel project integrated schedule plan  

SciTech Connect

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.

Squires, K.G.

1995-03-06T23:59:59.000Z

203

Analysis of ISO NE Balancing Requirements: Uncertainty-based Secure Ranges for ISO New England Dynamic Inerchange Adjustments  

SciTech Connect

The document describes detailed uncertainty quantification (UQ) methodology developed by PNNL to estimate secure ranges of potential dynamic intra-hour interchange adjustments in the ISO-NE system and provides description of the dynamic interchange adjustment (DINA) tool developed under the same contract. The overall system ramping up and down capability, spinning reserve requirements, interchange schedules, load variations and uncertainties from various sources that are relevant to the ISO-NE system are incorporated into the methodology and the tool. The DINA tool has been tested by PNNL and ISO-NE staff engineers using ISO-NE data.

Etingov, Pavel V.; Makarov, Yuri V.; Wu, Di; Hou, Zhangshuan; Sun, Yannan; Maslennikov, S.; Luo, X.; Zheng, T.; George, S.; Knowland, T.; Litvinov, E.; Weaver, S.; Sanchez, E.

2013-01-31T23:59:59.000Z

204

Optimal parallel scheduling of Gaussian elimination DAGs  

SciTech Connect

A parallel algorithm for Gaussian elimination (GE) is described which solves a linear system of size n using m>n parallel processors and a shared random access memory. Converting the serial GE algorithm to parallel form involves scheduling its computation DAG (direct acyclic graphs) on m processors. A lower bound for schedule length is established for dense GE DAGs, and it is proved that the proposed algorithm produces schedules which achieve these bounds. Finally, the construction and execution of the schedule are incorporated into a single concurrent program, which is shown to run in optimal time. 17 references.

Srinivas, M.A.

1983-12-01T23:59:59.000Z

205

Rate Schedule PACI-T3  

NLE Websites -- All DOE Office Websites (Extended Search)

or rate schedule accepted or approved by the Federal Energy Regulatory Commission (FERC) or other regulatory bodies will be passed on to each relevant customer. The FERC's or...

206

Rate Schedule CV-EID4  

NLE Websites -- All DOE Office Websites (Extended Search)

CV-EID3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR ENERGY IMBALANCE SERVICE Effective: October 1, 2011,...

207

Rate Schedule CV-SUR4  

NLE Websites -- All DOE Office Websites (Extended Search)

CV-SUR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SUPPLEMENTAL RESERVE SERVICE Effective: October 1, 2011,...

208

Rate Schedule CV-SPR4  

NLE Websites -- All DOE Office Websites (Extended Search)

CV-SPR3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR SPINNING RESERVE SERVICE Effective: October 1, 2011,...

209

Rate Schedule CV-SPR4  

NLE Websites -- All DOE Office Websites (Extended Search)

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

210

Rate Schedule CV-SUR4  

NLE Websites -- All DOE Office Websites (Extended Search)

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

211

Scheduling coal handling processes using metaheuristics.  

E-Print Network (OSTI)

??The operational scheduling at coal handling facilities is of the utmost importance to ensure that the coal consuming processes are supplied with a constant feed… (more)

Conradie, David Gideon

2008-01-01T23:59:59.000Z

212

Daily Scheduling of Nurses in Operating Suites  

E-Print Network (OSTI)

This, in turn, leads to reduced patient safety and substandard treatment ... to improve the nurse scheduling process (Ernst et al., 2004). Recent surveys include ...

213

Rate Schedule CV-TPT7  

NLE Websites -- All DOE Office Websites (Extended Search)

OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR TRANSMISSION OF WESTERN POWER BY OTHERS Effective: October 1, 2011, through September 30,...

214

EM Quality Assurance Assessment Schedule FY 2010  

Energy.gov (U.S. Department of Energy (DOE))

Attached for planning and coordination purposes is the updated Quality Assurance (QA) assessment schedule for the remainder of fiscal year (FY) 2010.

215

Schedules of Key Environmental Impact Statements  

Energy.gov (U.S. Department of Energy (DOE))

This document graphically displays the milestone dates and projected schedules of key Environmental Impact Statements (updated monthly). This chart represents anticipated activity and is not a...

216

AVLIS production plant project schedule and milestones  

SciTech Connect

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.

1984-11-15T23:59:59.000Z

217

Instrument Schedule for ng7refl  

Science Conference Proceedings (OSTI)

Instrument Schedule For NG-7 -- Cold neutron reflectometer-horizontal sample. ... 12/12/2012 11:00, 6, 18041, Dependence of the fusion of Dengue E ...

218

Utility Optimal Scheduling in Energy Harvesting Networks  

E-Print Network (OSTI)

In this paper, we show how to achieve close-to-optimal utility performance in energy harvesting networks with only finite capacity energy storage devices. In these networks, nodes are capable of harvesting energy from the environment. The amount of energy that can be harvested is time varying and evolves according to some probability law. We develop an \\emph{online} algorithm, called the Energy-limited Scheduling Algorithm (ESA), which jointly manages the energy and makes power allocation decisions for packet transmissions. ESA only has to keep track of the amount of energy left at the network nodes and \\emph{does not require any knowledge} of the harvestable energy process. We show that ESA achieves a utility that is within $O(\\epsilon)$ of the optimal, for any $\\epsilon>0$, while ensuring that the network congestion and the required capacity of the energy storage devices are \\emph{deterministically} upper bounded by bounds of size $O(1/\\epsilon)$. We then also develop the Modified-ESA algorithm (MESA) to ac...

Huang, Longbo

2010-01-01T23:59:59.000Z

219

Polynomial Time Algorithms for Minimum Energy Scheduling  

E-Print Network (OSTI)

The aim of power management policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory level of performance. One common method for saving energy is to simply suspend the system during the idle times. No energy is consumed in the suspend mode. However, the process of waking up the system itself requires a certain fixed amount of energy, and thus suspending the system is beneficial only if the idle time is long enough to compensate for this additional energy expenditure. In the specific problem studied in the paper, we have a set of jobs with release times and deadlines that need to be executed on a single processor. Preemptions are allowed. The processor requires energy L to be woken up and, when it is on, it uses one unit of energy per one unit of time. It has been an open problem whether a schedule minimizing the overall energy consumption can be computed in polynomial time. We solve this problem in positive, by providing an O(n^5)-time algorithm. In addition we pr...

Baptiste, Philippe; Durr, Christoph

2009-01-01T23:59:59.000Z

220

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

45329 SCHEDULING POSTER.ai  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

These courses have immediate open registraton These courses have immediate open registraton PLEASE LOOK FOR US AT http://energy.gov/dvu/professional-skills-and-technical-training OFFICE OF LEARNING & WORKFORCE DEVELOPMENT Professional Skills & Technical Training Program FY 2014 Corporate Schedule Points of Contact: If you have any logistical/registration questions please contact: Shira Kimble at 202-586-8449 or 301-903-5116. Course Title: Course Date: Time: CHRIS Code: Session: Location: Trustworthy Customer Services NEW January 15-16, 2014 8:30am-4:00pm 002452 0001 Forrestal RM GH- 043 CSRS Retirement Seminar January 28-30, 2014 8:30am-4:00pm 000033 0091 Forrestal RM GH- 043 Managing Up Down & Across February 11-12, 2014

222

Scheduling under Precedence, Communication, and Energy Constraints  

E-Print Network (OSTI)

We consider the problem of scheduling a set of $n$ tasks on $m$ processors under precedence, communication, and global system energy constraints to minimize makespan. We extend existing scheduling models to account for energy usage and give convex programming algorithms that yield essentially the same results as existing algorithms that do not consider energy, while adhering to a strict energy bound.

Felber, David

2011-01-01T23:59:59.000Z

223

Efficient real-time divisible load scheduling  

Science Conference Proceedings (OSTI)

Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant problem for many cluster-based research computing facilities. While progress is being made in scheduling arbitrarily divisible loads, current approaches ... Keywords: Arbitrarily divisible loads, Cluster computing, Real-time computing, Scheduling efficiency

Anwar Mamat; Ying Lu; Jitender Deogun; Steve Goddard

2012-12-01T23:59:59.000Z

224

Airport Gate Scheduling with Time Windows  

Science Conference Proceedings (OSTI)

In contrast to the existing airport gate assignment studies where flight have fixed schedules, we consider the more realistic situation where flight arrival and departure times can change. Although we minimize walking distances (or travel time) in our ... Keywords: aircraft gate scheduling, memetic algorithm, tabu search

A. Lim; B. Rodrigues; Y. Zhu

2005-09-01T23:59:59.000Z

225

Domestic load scheduling using genetic algorithms  

Science Conference Proceedings (OSTI)

An approach using a genetic algorithm to optimize the scheduling of domestic electric loads, according to technical and user-defined constraints and input signals, is presented and illustrative results are shown. The aim is minimizing the end-user's ... Keywords: automated energy management, domestic load scheduling, electric loads, genetic algorithms

Ana Soares; Állvaro Gomes; Carlos Henggeler Antunes; Hugo Cardoso

2013-04-01T23:59:59.000Z

226

Heavy Tails: Performance Models and Scheduling Disciplines  

E-Print Network (OSTI)

Heavy Tails: Performance Models and Scheduling Disciplines Sindo N´u~nez-Queija based on joint ITC´u~nez-Queija CWI & TU/e #12;Heavy Tails: Performance Models and Scheduling Disciplines Part I ­ Introduction and Methodology Tales to tell: · traffic measurements and statistical analysis · traffic modeling · heavy

Núñez-Queija, Rudesindo

227

Perception of a building construction schedule  

Science Conference Proceedings (OSTI)

Evaluating a schedule means making a judgment about the schedule after thinking carefully about its duration, cost, and the probable quality of its deliverable product. Despite recent advances in 4D visualization, (i.e., 3D building geometry + time), ... Keywords: 4D visualization, building construction planning, decision support systems, perception model

Kais Samkari, Ralf Gnerlich, Volkhard Franz

2013-04-01T23:59:59.000Z

228

Next Generation CANDU: Conceptual Design for a Short Construction Schedule  

SciTech Connect

Atomic Energy of Canada Ltd. (AECL) has very successful experience in implementing new construction methods at the Qinshan (Phase III) twin unit CANDU 6 plant in China. This paper examines the construction method that must be implemented during the conceptual design phase of a project if short construction schedules are to be met. A project schedule of 48 months has been developed for the nth unit of NG (Next Generation) CANDU with a 42 month construction period from 1. Concrete to In-Service. An overall construction strategy has been developed involving paralleling project activities that are normally conducted in series. Many parts of the plant will be fabricated as modules and be installed using heavy lift cranes. The Reactor Building (RB), being on the critical path, has been the focus of considerable assessment, looking at alternative ways of applying the construction strategy to this building. A construction method has been chosen which will result in excess of 80% of internal work being completed as modules or as very streamlined traditional construction. This method is being further evaluated as the detailed layout proceeds. Other areas of the plant have been integrated into the schedule and new construction methods are being applied to these so that further modularization and even greater paralleling of activities will be achieved. It is concluded that the optimized construction method is a requirement, which must be implemented through all phases of design to make a 42 month construction schedule a reality. If the construction methods are appropriately chosen, the schedule reductions achieved will make nuclear more competitive. (authors)

Hopwood, Jerry M.; Love, Ian J.W.; Elgohary, Medhat; Fairclough, Neville [Atomic Energy of Canada Ltd., Ontario (Canada)

2002-07-01T23:59:59.000Z

229

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

230

Inspection/Sampling Schedule | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Inspection/Sampling Schedule Inspection/Sampling Schedule Inspection/Sampling Schedule Site Inspection and Water Sampling Schedules Note: The following schedules are subject to change without prior notice and will be updated periodically. Site Name Inspection Date Sampling Week Ambrosia Lake, NM, Disposal Site August 18, 2014 November 20, 2013 Bluewater, NM, Disposal Site August 18, 2014 November 20, 2013 January 28, 2014 May 12, 2014 Boiling Nuclear Superheater (BONUS), PR, Decommissioned Reactor Site Next event 2017 Burrell, PA, Disposal Site December 9, 2013 November 20, 2013 Canonsburg, PA, Disposal Site December 9, 2013 November 19, 2013 Durango, CO, Disposal Site May 19, 2014 June 2, 2014 Durango, CO, Processing Site N/A June 2, 2014 September 1, 2014 Edgemont, SD, Disposal Site June 23, 2014 N/A

231

EIA RECORDS SCHEDULE (EIARS) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

EIA RECORDS SCHEDULE (EIARS) EIA RECORDS SCHEDULE (EIARS) EIA RECORDS SCHEDULE (EIARS) The establishment of the Energy Information Administration (EIA) as an independent statistical agency within the U.S. Department of Energy in 1977 was a result of enabling legislation that charged the EIA to maintain a comprehensive data and information program relevant to energy resources and reserves, energy production, energy demand, energy technologies, and related financial and statistical information relevant to the adequacy of energy resources to meet the Nations demands in the near and longer term future EIA RECORDS SCHEDULE (EIARS) More Documents & Publications Request For Records Disposition ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC, ARCHITECTURAL, ENGINEERING, AND FACILITY MANAGEMENT RECORDS

232

Administrative Records Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Administrative Records Schedules Administrative Records Schedules Administrative Records Schedules Administrative Records Schedules NOTE: Most of the files below are in PDF, you will need Acrobat® Reader(tm) to view these files. SCHEDULE TITLE DATE LAST CHANGED AUTHORIZATION NUMBER 1 Personnel Records (pdf) 09/15/10 N1-434-98-4 2 Payroll & Pay Administration Records (pdf) 09/15/10 N1-434-98-5 3 Procurement, Supply, and Grant Records (pdf) 09/15/10 N1-434-98-6 N1-434-95-1 4 Property Disposal Records (pdf) 12/10/10 --- 5 Budget Preparation, Presentation and Apportionment Records (pdf) 12/10/10 N1-434-98-8 6 Accountable Officers' Accounts Records (pdf) 09/15/10 N1-434-98-9 7 Expenditure Accounting Records --- GRS 7 8 Stores, Plants and Cost Accounting Records --- GRS 8

233

Real-time scheduling with regenerative energy  

E-Print Network (OSTI)

This paper investigates real-time scheduling in a system whose energy reservoir is replenished by an environmental power source. The execution of tasks is deemed primarily energy-driven, i.e., a task may only respect its deadline if its energy demand can be satisfied early enough. Hence, a useful scheduling policy should account for properties of the energy source, capacity of the energy storage as well as power dissipation of the single tasks. We show that conventional scheduling algorithms (like e.g. EDF) are not suitable for this scenario. Based on this motivation, we state and prove optimal scheduling algorithms that jointly handle constraints from both energy and time domain. Furthermore, an offline schedulability test for a set of periodic or even bursty tasks is presented. Finally, we validate the proposed theory by means of simulation and compare our algorithms with the classical Earliest Deadline First Algorithm. 1.

C. Moser; D. Brunelli; L. Thiele; L. Benini

2006-01-01T23:59:59.000Z

234

Simulating the scheduling of parallel supercomputer applications  

SciTech Connect

An Event Driven Simulator for Evaluating Multiprocessing Scheduling (EDSEMS) disciplines is presented. The simulator is made up of three components: machine model; parallel workload characterization ; and scheduling disciplines for mapping parallel applications (many processes cooperating on the same computation) onto processors. A detailed description of how the simulator is constructed, how to use it and how to interpret the output is also given. Initial results are presented from the simulation of parallel supercomputer workloads using Dog-Eat-Dog,'' Family'' and Gang'' scheduling disciplines. These results indicate that Gang scheduling is far better at giving the number of processors that a job requests than Dog-Eat-Dog or Family scheduling. In addition, the system throughput and turnaround time are not adversely affected by this strategy. 10 refs., 8 figs., 1 tab.

Seager, M.K.; Stichnoth, J.M.

1989-09-19T23:59:59.000Z

235

Instruction scheduling using MAX-MIN ant system optimization  

Science Conference Proceedings (OSTI)

Instruction scheduling is a fundamental step for mapping an application to a computational device. It takes a behavioral application specification and produces a schedule for the instructions onto a collection of processing units. The objective is to ... Keywords: MAX-MIN ant system, force-directed scheduling, instruction scheduling, list scheduling

Gang Wang; Wenrui Gong; Ryan Kastner

2005-04-01T23:59:59.000Z

236

Clinch River Breeder Reactor Plant Project: construction schedule  

SciTech Connect

The construction schedule for the Clinch River Breeder Reactor Plant and its evolution are described. The initial schedule basis, changes necessitated by the evaluation of the overall plant design, and constructability improvements that have been effected to assure adherence to the schedule are presented. The schedule structure and hierarchy are discussed, as are tools used to define, develop, and evaluate the schedule.

Purcell, W.J.; Martin, E.M.; Shivley, J.M.

1982-01-01T23:59:59.000Z

237

New Rate Schedule CV-GID1 UNITED STATES DEPARTMENT OF ENERGY  

NLE Websites -- All DOE Office Websites (Extended Search)

GID1 GID1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR GENERATOR IMBALANCE SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region (SNR). Applicable: To generators receiving Generator Imbalance Service (GI). Character and Conditions of Service: GI is provided when a difference occurs between the scheduled and actual delivery of energy from an eligible generation resource within the Sub-Balancing Authority (SBA), over an hour, or in accordance with approved policies. The deviation in megawatts is the net scheduled amount of generation minus the net metered output from the generator's (actual generation)

238

ASHRAE Standard 90.1-2007 -- Building Envelope Requirements ...  

NLE Websites -- All DOE Office Websites (Extended Search)

Requirements This course provides an overview of the building envelope requirements of ASHRAE Standard 90.1-2007. Estimated Length: 1 hour, 4 minutes Presenters: John Hogan, City...

239

Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems  

E-Print Network (OSTI)

Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have inherent limitations on their capability in energy saving since they rarely take into account the actual application requirements and often exploit fixed timing constraints of real-time tasks. Taking advantage of application adaptation, an enhanced energy-aware feedback scheduling (EEAFS) scheme is proposed, which integrates feedback scheduling with DVS. To achieve further reduction in energy consumption over pure DVS while not jeopardizing the quality of control, the sampling period of each control loop is adapted to its actual control performance, thus exploring flexible timing constraints on control tasks. Extensive simulation results are given to demonstrate the effectiveness of EEAFS under different scenarios. Compared with the optimal pure DVS scheme, EEAFS saves much more energy while yielding comparable control performance.

Xia, Feng; Zhao, Wenhong; Sun, Youxian; Dong, Jinxiang

2008-01-01T23:59:59.000Z

240

VFP: Program Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Program Requirements Program Requirements Home Welcome Researcher! Preparing for Your Visit Your Arrival Your First Day Weekly Activities Program Requirements Checkout FAQ The DOE WDTS site has comprehensive information on Participant Obligations. Consult that site for more information on all deliverables except the Fermilab Summer Interns website. Attendance: Complete the full ten-week program and attend all scheduled events including lectures, tours and group activities. Entrance Survey: Complete the entrance survey within your first week at Fermilab. One-page Peer Review Provide a one-page written peer review of another SULI intern' talk or poster. Abstract for General Audience Complete and submit an abstract summarizing your research experience. Oral or Poster Presentation: Deliver an oral or poster presentation to mentors and peers the final week

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

SULI: Program Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Program Requirements Program Requirements Home Welcome Intern! Preparing for Your Internship Your Arrival Your First Day Weekly Activities Program Requirements Checkout FAQ The DOE WDTS site has comprehensive information on Participant Obligations. Consult that site for more information on all deliverables except the Fermilab Summer Interns website. Attendance: Complete the full ten-week program and attend all scheduled events including lectures, tours and group activities. Entrance Survey: First create an account by following the link, educationLink New Account Setup. After creating the account, you can login to the educationLink site. Complete the entrance survey posted on your EduLink site within your first week at Fermilab. One-page Peer Review Provide a one-page written peer review of another SULI intern' talk or

242

Performance analysis of dynamic workflow scheduling in multicluster grids  

Science Conference Proceedings (OSTI)

Scientists increasingly rely on the execution of workflows in grids to obtain results from complex mixtures of applications. However, the inherently dynamic nature of grid workflow scheduling, stemming from the unavailability of scheduling information ... Keywords: grid scheduling, performance evaluation, workflows

Ozan Sonmez; Nezih Yigitbasi; Saeid Abrishami; Alexandru Iosup; Dick Epema

2010-06-01T23:59:59.000Z

243

Rate Schedule CV-RFS4  

NLE Websites -- All DOE Office Websites (Extended Search)

RFS4 RFS4 (Supersedes Schedule CV-RFS3) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR REGULATION AND FREQUENCY RESPONSE SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To customers receiving Regulation and Frequency Response Service (regulation). Character and Conditions of Service: Regulation is necessary to provide for the continuous balancing of resources and interchange with load and for maintaining scheduled interconnection frequency at 60-cycles per second. Formula Rate: The formula rate for regulation includes three components:

244

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

245

Hospital Triage in First Hours After Nuclear or Radiological...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

246

Delayed Start or Cancellation of Business Hours | Argonne National...  

NLE Websites -- All DOE Office Websites (Extended Search)

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

247

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

248

PROCEDURE FOR PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES...  

NLE Websites -- All DOE Office Websites (Extended Search)

PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES (RIDS) PROCEDURE FOR PREPARING RECORDS INVENTORY AND DISPOSITION SCHEDULES (RIDS) This document lists the procedures for...

249

Y-12 builds capacity to meet nuclear testing schedule - Or: ...  

NLE Websites -- All DOE Office Websites (Extended Search)

builds capacity to meet nuclear testing schedule - Or: Increasing capacity to meet nuclear testing schedule (title as it appeared in The Oak Ridger) The continuing high volume...

250

Topic Index to the DOE Administrative Records Disposition Schedules...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Topic Index to the DOE Administrative Records Disposition Schedules Topic Index to the DOE Administrative Records Disposition Schedules Topic Index to the DOE Administrative...

251

Graduate Program Time Limits and Work Schedules  

NLE Websites -- All DOE Office Websites (Extended Search)

Time Limits and Work Schedules Time Limits and Work Schedules Graduate Program Time Limits and Work Schedules Point your career towards LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. Contact Student Programs (505) 665-8899 Email Time Limits The length of participation in the graduate program is limited as follows: With a bachelor's pursuing a master's degree: 4 years With a bachelor's pursuing a PhD: 7 years With a master's pursuing a second master's degree: 2 years With a master's pursuing a PhD: 4 years With a master's pursuing a master's and PhD in a new field: 6 years Students may remain in the GRA program for up to three months after receiving their PhD. Work schedules Year-round students Students participating in the MBA program, post-baccalaureate appointments,

252

APCF Construction Schedule | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

APCF APCF Past APCF Memoranda APCF, Construction Schedule This is a tentative schedule of the daily construction at APCF. For the preliminary two to three week look ahead schedule, 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 schedule for dates up to 01.17.2014 Day Activity Impact Monday - 08.05.13 Studs and Drywall None Ceiling Piping None Curtain Wall None Site Grading Low Tuesday - 08.06.13 Studs and Drywall None Ceiling Piping None Curtain Wall None Landscaping Low Wednesday - 08.07.13 Studs and Drywall None Ceiling Piping None Curtain Wall None Landscaping Low Thursday - 08.08.13 Studs and Drywall None Ceiling Piping None Curtain Wall None

253

Definition: Scheduling Entity | Open Energy Information  

Open Energy Info (EERE)

Interchange Schedule References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

254

Definition: Net Scheduled Interchange | Open Energy Information  

Open Energy Info (EERE)

Interchange Schedule References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

255

DOE Announces New WIPP Tour Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Announces New WIPP Tour Schedule CARLSBAD, N.M., March 14, 2001 - The U.S. Department of Energy's (DOE) Carlsbad Field Office today announced changes in the public tour program at...

256

Power and energy-aware processor scheduling  

Science Conference Proceedings (OSTI)

Power consumption is a critical consideration in high computing systems. We propose a novel job scheduler that optimizes power and energy consumed by clusters when running parallel benchmarks with minimal impact on performance. We construct accurate ...

Luigi Brochard; Raj Panda; Don DeSota; Francois Thomas; Robert H. Bell, Jr.

2011-03-01T23:59:59.000Z

257

Definition: Scheduling Path | Open Energy Information  

Open Energy Info (EERE)

Scheduling Path Scheduling Path Jump to: navigation, search Dictionary.png Scheduling Path The Transmission Service arrangements reserved by the Purchasing-Selling Entity for a Transaction.[1] Related Terms transmission lines, Purchasing-Selling Entity, Transmission Service, transmission line References ↑ Glossary of Terms Used in Reliability Standards An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Scheduling_Path&oldid=480301" Categories: Definitions ISGAN Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

258

DOE HQ Shuttle Bus Route and Schedule  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Shuttle Bus Route and Schedule Shuttle Bus Route and Schedule The DOE Shuttle Buses follow the same schedules between the two main Headquarters locations, Forrestal and Germantown. The buses start their routes at each Headquarters facility at the same times, see the schedule below. The subsequent stops at the other facilities are relative to the departure time of each route. Headquarters employees are reminded of the statutory provisions that authorize and limit the use of the shuttle bus service. Specific authority for the use of appropriated funds to pay for transportation for official purposes is contained in section 1344(a)(1) of Title 31, U.S. Code. Use of this transportation for any other purpose is

259

DUF6 Conversion Facility EIS Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Depleted UF6 Conversion Facility EISs Schedule The final EISs for the DUF6 Conversion Facilities have been completed, and are available through this web site. The RODs are...

260

Approximation algorithms for stochastic scheduling problems  

E-Print Network (OSTI)

In this dissertation we study a broad class of stochastic scheduling problems characterized by the presence of hard deadline constraints. The input to such a problem is a set of jobs, each with an associated value, processing ...

Dean, Brian C. (Brian Christopher), 1975-

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Provably Efficient Adaptive Scheduling for Parallel Jobs  

E-Print Network (OSTI)

Scheduling competing jobs on multiprocessors has always been an important issue for parallel and distributed systems. The challenge is to ensure global, system-wide efficiency while offering a level of fairness to user ...

He, Yuxiong

262

Batch Queues and Scheduling Policies on Edison  

NLE Websites -- All DOE Office Websites (Extended Search)

can start even if requested walltime extends past a scheduled maintenance. Note: on Edison you can type qstat -Qf command for a more detailed view of the queue configuration....

263

Railway scheduling with declarative constraint programming  

Science Conference Proceedings (OSTI)

Simulation of train scheduling is a highly complex problem. Classical methods in this field are mainly designed for conflict resolution, which means that a solution or partial solution is generated and subsequently tested to determine whether the conditions ...

Ulrich Geske

2005-10-01T23:59:59.000Z

264

Flexible CoScheduling : mitigating load imbalance and improving utilization of heterogeneous resources  

Science Conference Proceedings (OSTI)

Fine-grained parallel applications require all their processes to run simultaneously on distinct processors to achieve good efficiency. This is typically accomplished by space slicing, wherein nodes are dedicated for the duration of the run, or by gang scheduling, wherein time slicing is coordinated across processors. Both schemes suffer from fragmentation, where processors are left idle because jobs cannot be packed with perfect efficiency. Obviously, this leads to reduced utilization and sub-optimal performance. Flexible coscheduling (FCS) solves this problem by monitoring each job's granularity and communication activity, and using gang scheduling only for those jobs that require it. Processes from other jobs, which can be scheduled without any constraints, are used as filler to reduce fragmentation. In addition, inefficiencies due to load imbalance and hardware heterogeneity are also reduced because the classification is done on a per-process basis. FCS has been fully implemented as part of the STORM resource manager, and shown to be competitive with gang scheduling and implicit coscheduling. Keywords: Cluster computing, load balancing, job scheduling, gang scheduling, parallel architectures, heterogeneous clusters, STORM

Frachtenberg, E. (Eitan); Feitelson, Dror G.; Petrini, F. (Fabrizio); Fernández, J. C. (Juan C.)

2002-01-01T23:59:59.000Z

265

Office of Civilian Radioactive Waste Management Program Cost and Schedule Baseline; Revision 3  

SciTech Connect

The purpose of this document is to establish quantitative expressions of proposed costs and schedule to serve as a basis for measurement of program performance. It identifies the components of the Program Cost and Schedule Baseline (PCSB) that will be subject to change control by the Executive (Level 0) and Program (Level 1) Change Control Boards (CCBS) and establishes their baseline values. This document also details PCSB reporting, monitoring, and corrective action requirements. The Program technical baseline contained in the Waste Management System Description (WMSD), the Waste Management System Requirements (WMSR), and the Physical System Requirements documents provide the technical basis for the PCSB. Changes to the PCSB will be approved by the Pregrain Change Control Board (PCCB)In addition to the PCCB, the Energy System Acquisition Advisory Board Baseline CCB (ESAAB BCCB) will perform control functions relating to Total Project Cost (TPC) and major schedule milestones for the Yucca Mountain Site Characterization Project and the Monitored Retrievable Storage (MRS) Project.

NONE

1992-09-01T23:59:59.000Z

266

Science Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Requirements About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Network...

267

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

268

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

269

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

270

DHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Real-time Multiprocessor Systems  

E-Print Network (OSTI)

A majority of today's real-time systems assume a priori knowledge of task characteristics and hence are based on static designs which contribute to their high cost and inflexibility. The next generation hard real-time systems must be designed to be dynamic and flexible. This provides the motivation to study various dynamic scheduling proposals. In this paper, we discuss the design and implementation of a tool, called DHARMA, which is an attempt towards satisfying such requirements. The tool provides an environment to study various dynamic scheduling algorithms with or without fault-tolerance requirements and associated resource reclaiming algorithms in a multiprocessor real-time system.

G. Manimaran; Anand Manikutty; C. Siva Ram Murthy

1998-01-01T23:59:59.000Z

271

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

272

Laxity dynamics and LLF schedulability analysis on multiprocessor platforms  

Science Conference Proceedings (OSTI)

LLF (Least Laxity First) scheduling, which assigns a higher priority to a task with a smaller laxity, has been known as an optimal preemptive scheduling algorithm on a single processor platform. However, little work has been made to illuminate its characteristics ... Keywords: LLF (Least Laxity First), Laxity dynamics, Multiprocessor platforms, Real-time scheduling, Schedulability analysis

Jinkyu Lee; Arvind Easwaran; Insik Shin

2012-11-01T23:59:59.000Z

273

Energy-efficient scheduling for multiple access in wireless sensor networks: A job scheduling method  

Science Conference Proceedings (OSTI)

With the objective to minimize the transmission energy cost, we consider the energy-efficient scheduling problem in a single hop multi-access data gathering network. We first prove by theoretical induction that transmitting with reduced powers decreases ... Keywords: Job scheduling, Multiple access channel, Polymatroid analysis, Wireless sensor networks

Xiaomao Mao; Huifang Chen; Peiliang Qiu; Zhaoyang Zhang

2010-09-01T23:59:59.000Z

274

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 1953–2002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

275

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. government–sponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

276

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

277

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

278

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

279

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

280

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the Ångstrom–Black linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

282

An Hourly Assimilation–Forecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysis–forecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezsö Dévényi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

283

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

284

GATS 1.0: a novel GA-based scheduling algorithm for task scheduling on heterogeneous processor nets  

Science Conference Proceedings (OSTI)

We present a novel GA-based scheduling algorithm for heterogeneous processor networks that succeeds in generating task schedules with completion times that are 7% and 10.1% shorter than those produced by two of the best existing scheduling algorithms ... Keywords: genetic algorithm, heterogeneous systems, parallel processing, scheduling

Mohammad Daoud; Nawwaf Kharma

2005-06-01T23:59:59.000Z

285

Rate Schedule CV-NWT5  

NLE Websites -- All DOE Office Websites (Extended Search)

NWT5 NWT5 (Supersedes Schedule CV-NWT4) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR NETWORK INTEGRATION TRANSMISSION SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To customers receiving Central Valley Project (CVP) Network Integration Transmission Service (NITS). Character and Conditions of Service: Transmission service for three-phase, alternating current at 60-hertz, delivered and metered at the voltages and points of delivery or receipt, adjusted for losses, and delivered to points of delivery. This service includes scheduling and system control and dispatch service needed to

286

Maglev guideway cost and construction schedule assessment  

SciTech Connect

A summary of construction cost and scheduling information is presented for four maglev guideway designs on an example route from Baltimore, MD to Newark, NJ. This work results from the National Maglev Initiative (NMI), a government-industry effort from 1989 to 1994. The system design concepts used as a basis for developing cost and construction scheduling information, were submitted by four industry consortia solely for this analysis, and represent their own unpublished designs. The detailed cost and construction schedule analyses cover the main guideway only. A summary estimate was made for stations, power distribution systems, maintenance facilities, and other types of infrastructure. The results of the analyses indicate a number of design aspects which must receive further consideration by future designers. These aspects will affect the practical and economic construction and long-term maintenance of a high-speed maglev guideway.

Plotkin, D.; Kim, S. [Army Construction Engineering Research Lab., Champaign, IL (United States)

1997-05-01T23:59:59.000Z

287

EM Quality Assurance Assessment Schedule FY 2010  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DR. STFDlN L. KRAHN DR. STFDlN L. KRAHN DEPUTY ASSlS SAFETY ENVIRONhtENTAL MANAGEMENT SUBJECT: U p d a t e d F i Year 2010 Environmental Mmagemmt Quality Assurance Assessment Schedule AWhed for planuing and coordination purposes is t h e updated Ql&ty Amtrance {OA) asesmmt schedule for the remainder of fiscal year $Y) 2010. . - , The schedule is organized per the various types of QA asmmum@ that will k led by the Office of S t a n e and Quality Assurance (EM-23) or the Field elements. Please provide your feedbadc on the suggested self-atxwssment dates by Monday, Apd 12,2010 (item 2, below). Tht scope a n d tim'mg of plaoned asseasments are designed to be relevant, timely, and & I value to enhaace QA performame of specific projects. EM-23 has developed the attached oversight prioritization methodology plan that takes into

288

Production Scheduling with Energy Efficiency Constraints  

E-Print Network (OSTI)

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 constraints. Because of the conflicting objectives, an optimization approach is considered as not feasible by the plant management. Given a customer demand forecast, three practical heuristic algorithms are developed to generate daily production schedules for three conflicting objectives: minimize shipment delays, minimize average inventory levels, and minimize product switch-over to avoid energy waste. Since each heuristic is designed to give priority to one of the three conflicting objectives, none of them is absolutely superior to the other algorithms in all aspects. However, the management can assign weights to each of the three objectives to identify the schedule that minimizes the total cost index.

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

2007-01-01T23:59:59.000Z

289

School requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Cryogenics Show Cryogenics Show Length of time: 40-50 minutes Room preference: Gym or auditorium To help make a Cryogenics Show run smoothly, we ask the following: Make sure the presenter has exact directions to your school and any parking and delivery information. The Cryogenics Show should not be "directly" under any photo or ion type smoke detectors. The individual requesting the show is responsible for checking with the facility manager about the best location for the show. If the floor is not carpeted, everyone must be seated in chairs or bleachers. If you have scheduled multiple presentations, we request that we stay in the same room for all presentations. It is time consuming to move the set up from room to room. We would like 10-15 minutes between presentations if possible. Two presentations would be a maximum request.

290

Program cost and schedule baseline. Revision 5, (A00000000-00811-1701-00001)  

SciTech Connect

The purpose of this document is to establish quantitative expressions of proposed costs and schedule to serve as a basis for measurement of Program performance. It identifies the components of the Program Cost and Schedule Baseline (PCSB) that will be subject to chance control by the Executive (Level 0) and Program (Level 1) Baseline Change Control Boards (BCCBs) and establishes their baseline values. The Program technical baseline is contained in the Civilian Radioactive Waste Management System (CRWMS) Requirements Document (CRD) and the System Requirement Documents (SRDs) for the individual system elements. Changes to the PCSB will be approved by the Program Baseline Change Control Board (PBCCB). In addition to the PBCCB, the Energy System Acquisition Advisory Board Baseline Change Control Board (ESAAB BCCB) will perform control functions relating to Total Project Cost (TPC) and major schedule milestones for the Yucca Mountain Site Characterization Project, the Waste Acceptance, Storage and Transportation (WAST) Project (formerly Monitored Retrievable Storage (MRS) Project), and Program Integration element.

1995-09-01T23:59:59.000Z

291

Transition to 12-hour shifts - The process and the product  

Science Conference Proceedings (OSTI)

This paper examines Yankee Atomic Electric Company's (YAEC's) transition to a 12-h shift schedule for the operations department staff. It presents the approach to implementation, reactions of both shift workers and management to the new schedule (including perceived benefits and shortcomings), and provides recommendations to others considering this change. Experience demonstrates the ease of any transition when the desire for change originates with the individuals directly affected. Close cooperation with any union representation is also vital to its success. When all parties are in apparent agreement (e.g., that a 12-h rotation should commence), this allows for a trial period (in this case of at least two shift cycles) in order to evaluate and refine the program, thus leaving the option open to revert back to the previous condition if things prove unsatisfactory. At all costs, mutual respect must be maintained for all parties.

Suter, P. (Yankee Atomic Electric Co., Rowe, MA (United States))

1992-01-01T23:59:59.000Z

292

HEALTH FEE/STUDENT HEALTH INSURANCE BENEFIT SUMMARY University policy requires all students registered for six or more credit hours (three hours for each  

E-Print Network (OSTI)

fee. The health fee supports all services at Redfern Health Center and includes: Professional services of primary health care providers, psychologists, and health educators; Reduced costs on over the counter pharmaceuticals, laboratory, and X-ray services; $500 urgent care EXCESS benefit for after

Stuart, Steven J.

293

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

Science Conference Proceedings (OSTI)

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.

NONE

1998-12-01T23:59:59.000Z

294

Federal Metering Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Metering Requirements Metering Requirements FUPWG - May 23, 2013 Brad Gustafson Federal Energy Management Program 2 42 USC 8253 - ENERGY MANAGEMENT REQUIREMENT (e) Metering By October 1, 2012, in accordance with guidelines established by the Secretary under paragraph (2), all Federal buildings shall, for the purposes of efficient use of energy and reduction in the cost of electricity used in such buildings, be metered. Each agency shall use, to the maximum extent practicable, advanced meters or advanced metering devices that provide data at least daily and that measure at least hourly consumption of electricity in the Federal buildings of the agency. Not later than October 1, 2016, each agency shall provide for equivalent metering of natural gas and steam, in accordance with guidelines established by the Secretary

295

Crosswalk between DOERS and Admin Schedules  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2/00 2/00 Cross-Walk -DOERS to Admin Sched rev2.wpd DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules DOERS Item Number Description of Records DOE Administrative or Programmatic Schedule Number / Item NARA Case Number DOERS 1, Medical, Health and Safety Records DOERS 1, Item 1a Safety Management Records DOE Admin18, Item 11.1a, NC-326-75-2 DOERS 1, item 1 (b, c, d, & e) Safety Management Records DOE Admin 18, item 11.1 (c, d, e & f) II NNA-1023(2) II NNA-310(6) II NNA-1023(3) II NNA-409(25) DOERS 1, Item 2 Fire Unit Records DOE Admin18 ,Item 11.4 (a thru g) NC-430-76-2(3) II NNA-1858(1B) II NNA-2939 II NNA-1858(1C) II NNA-1858(E) II NNA-1858(1F) DOERS 1, Item 3 Medical or Health Research Project Case Files R & D Programmatic Schedule

296

User-sensitive scheduling of home appliances  

Science Conference Proceedings (OSTI)

Demand response (DR) programs encourage end-use customers to alter their power consumption in response to DR events such as change in real-time electricity prices. Facilitating household participation in DR programs is essential as the residential sector ... Keywords: demand response, energy consumption scheduling, home automation, smart grids

Tanuja Bapat; Neha Sengupta; Sunil Kumar Ghai; Vijay Arya; Yedendra Babu Shrinivasan; Deva Seetharam

2011-08-01T23:59:59.000Z

297

Battery-aware scheduling inwireless mesh networks  

Science Conference Proceedings (OSTI)

Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in mesh networks is to maintain network activities for a long lifetime with high ... Keywords: battery models, battery-awareness, energy efficiency, lifetime optimization, mesh routers, power scheduling, wireless mesh networks

Chi Ma; Zhenghao Zhang; Yuanyuan Yang

2008-04-01T23:59:59.000Z

298

Declarative scheduling in highly scalable systems  

Science Conference Proceedings (OSTI)

In modern architectures based on Web Services or Cloud Computing, a very large number of user requests arrive concurrently and has to be scheduled for execution constrained by correctness criteria, service-level agreements etc. The state of the art is ...

Christian Tilgner

2010-03-01T23:59:59.000Z

299

Incentivizing Advanced Load Scheduling in Smart Homes  

Science Conference Proceedings (OSTI)

In recent years, researchers have proposed numerous advanced load scheduling algorithms for smart homes with the goal of reducing the grid's peak power usage. In parallel, utilities have introduced variable rate pricing plans to incentivize residential ... Keywords: Battery, Electricity, Energy, Grid

Ye Xu, David Irwin, Prashant Shenoy

2013-11-01T23:59:59.000Z

300

Adaptive Battery Charge Scheduling with Bursty Workloads  

E-Print Network (OSTI)

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

Wu, Jie

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Supporting microthread scheduling and synchronisation in CMPs  

Science Conference Proceedings (OSTI)

Chip multiprocessors (CMPs) hold great promise for achieving scalability in future systems. Microthreaded CMPs add a means of exploiting legacy code in such systems. Using this model, compilers generate parametric concurrency from sequential source code, ... Keywords: CMPs, microgrids, microthreads, register files, schedulers

Ian Bell; Nabil Hasasneh; Chris Jesshope

2006-08-01T23:59:59.000Z

302

Exploiting Statically Schedulable Regions in Dataflow Programs  

Science Conference Proceedings (OSTI)

Dataflow descriptions have been used in a wide range of Digital Signal Processing (DSP) applications, such as multi-media processing, and wireless communications. Among various forms of dataflow modeling, Synchronous Dataflow (SDF) is geared towards ... Keywords: Cal, DIF, Dataflow, Multicore processors, Quasi-static scheduling

Ruirui Gu; Jörn W. Janneck; Mickaël Raulet; Shuvra S. Bhattacharyya

2011-04-01T23:59:59.000Z

303

Appliance Commitment for Household Load Scheduling  

Science Conference Proceedings (OSTI)

This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

Du, Pengwei; Lu, Ning

2011-06-30T23:59:59.000Z

304

Timelines as summaries of popular scheduled events  

Science Conference Proceedings (OSTI)

Known events that are scheduled in advance, such as popular sports games, usually get a lot of attention from the public. Communications media like TV, radio, and newspapers will report the salient aspects of such events live or post-hoc for general ... Keywords: football, rugby, soccer, sports, summaries, timelines, world cup

Omar Alonso, Kyle Shiells

2013-05-01T23:59:59.000Z

305

Feasible distributed CSP models for scheduling problems  

Science Conference Proceedings (OSTI)

A distributed constraint satisfaction problem (DisCSP) is a CSP in which variables and constraints are distributed among multiple automated agents. Many researchers have developed techniques for solving DisCSPs. They assume for simplicity that each agent ... Keywords: Constraint satisfaction, Distributed CSP, Holonic system, Multi-agent system, Scheduling

Miguel A. Salido; Adriana Giret

2008-08-01T23:59:59.000Z

306

Federal Technical Capability Panel Conference Call Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

Capability Panel Conference Call Schedule CY 2013 Time: 11:00 an -12:00pm (EST) * 10:00-11:00 am (CST) * 9:00-10:00 am (MST) * 8:00-9:00am (PST) Date Call-In Number June 19, 2013...

307

Considering Thermal-aware Proactive and Reactive Scheduling and Cooling for Green Data-centers  

Science Conference Proceedings (OSTI)

Data-centers require huge amount of electricity to continue meeting the computing demands of consumers each year. Fossil fuel based electricity is utilized due to lack of abundant renewable energy resources, resulting in the emission of CO2 in atmosphere ... Keywords: data center, data-center, cloud computing, green data center, green data-center, thermal-aware cooling, thermal-aware scheduling

Muhammad Tayyab Chaudhry, T. C. Ling, Atif Manzoor

2012-11-01T23:59:59.000Z

308

Integration of plug-in electric vehicle charging and wind energy scheduling on electricity grid  

Science Conference Proceedings (OSTI)

Plug-in electric vehicles (PEVs) and wind energy are both key new energy technologies. However, they also bring challenges to the operation of the electricity grid. Charging a large number of PEVs requires a lot of grid energy, and scheduling wind energy ...

Chiao-Ting Li; Changsun Ahn; Huei Peng; Jing Sun

2012-01-01T23:59:59.000Z

309

Improving schedulability and energy efficiency for real-time systems with (m,k)-guarantee  

Science Conference Proceedings (OSTI)

In this paper, we explore improving the schedulability and energy performance for real-time systems with (m, k)-constraints, which require that at least m out of any k consecutive jobs of a task meet their deadlines. The preliminary ...

Linwei Niu, Kuai Xu

2013-07-01T23:59:59.000Z

310

The managed motorway: real-time vehicle scheduling: a research agenda  

Science Conference Proceedings (OSTI)

Air pollution, traffic congestion, stress and accidents are common features of today's road transportation experience. New approaches to improving the efficiency and safety of transportation systems are therefore required. Existing work on safe high-speed ... Keywords: adaptive scheduling, managed motorway, real-time

Vinny Cahill; Aline Senart; Douglas C. Schmidt; Stefan Weber; Anthony Harrington; Barbara Hughes

2008-02-01T23:59:59.000Z

311

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

312

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

313

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chapter 6.1 (July 2011) Chapter 6.1 (July 2011) 1 Competition Requirements [Reference: FAR 6 and DEAR 906] Overview This section discusses competition requirements and provides a model Justification for Other than Full and Open Competition (JOFOC). Background The Competition in Contracting Act (CICA) of 1984 requires that all acquisitions be made using full and open competition. Seven exceptions to using full and open competition are specifically identified in Federal Acquisition Regulation (FAR) Subpart 6.3. Documentation justifying the use of any of these exceptions is required. The exception, with supporting documentation, must be certified and approved at certain levels that vary according to the dollar value of the

314

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

----------------------------------------------- ---------------------------------------- Chapter 6.1 (February 2011) 1 Competition Requirements [Reference: FAR 6 and DEAR 906] Overview This section discusses competition requirements and provides a model Justification for Other than Full and Open Competition (JOFOC). Background The Competition in Contracting Act (CICA) of 1984 requires that all acquisitions be made using full and open competition. Seven exceptions to using full and open competition are specifically identified in Federal Acquisition Regulation (FAR) Subpart 6.3. Documentation justifying the use of any of these exceptions is required. The exception, with supporting documentation, must

315

FFTF and Advanced Reactors Transition Program Resource Loaded Schedule  

SciTech Connect

This Resource Load Schedule (RLS) addresses two missions. The Advanced Reactors Transition (ART) mission, funded by DOE-EM, is to transition assigned, surplus facilities to a safe and compliant, low-cost, stable, deactivated condition (requiring minimal surveillance and maintenance) pending eventual reuse or D&D. Facilities to be transitioned include the 309 Building Plutonium Recycle Test Reactor (PRTR) and Nuclear Energy Legacy facilities. This mission is funded through the Environmental Management (EM) Project Baseline Summary (PBS) RL-TP11, ''Advanced Reactors Transition.'' The second mission, the Fast Flux Test Facility (FFTF) Project, is funded through budget requests submitted to the Office of Nuclear Energy, Science and Technology (DOE-NE). The FFTF Project mission is maintaining the FFTF, the Fuels and Materials Examination Facility (FMEF), and affiliated 400 Area buildings in a safe and compliant standby condition. This mission is to preserve the condition of the plant hardware, software, and personnel in a manner not to preclude a plant restart. This revision of the Resource Loaded Schedule (RLS) is based upon the technical scope in the latest revision of the following project and management plans: Fast Flux Test Facility Standby Plan (Reference 1); Hanford Site Sodium Management Plan (Reference 2); and 309 Building Transition Plan (Reference 4). The technical scope, cost, and schedule baseline is also in agreement with the concurrent revision to the ART Fiscal Year (FY) 2001 Multi-Year Work Plan (MYWP), which is available in an electronic version (only) on the Hanford Local Area Network, within the ''Hanford Data Integrator (HANDI)'' application.

GANTT, D.A.

2000-10-31T23:59:59.000Z

316

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

E-Print Network (OSTI)

R. G. (2004) Real-time Tracking of Activity Scheduling/GIS) viii ABSTRACT Empirical Tracking and Analysis of theSanta Barbara Empirical Tracking and Analysis of the

Zhou, Jianyu Jack

2006-01-01T23:59:59.000Z

317

STAR-Scheduler: A Batch Job Scheduler for Distributed I/O Intensive Applications  

E-Print Network (OSTI)

We present the implementation of a batch job scheduler designed for single-point management of distributed tasks on a multi-node compute farm. The scheduler uses the notion of a meta-job to launch large computing tasks simultaneously on many nodes from a single user command. Job scheduling on specific computing nodes is predicated on the availability of user specified data files co-located with the CPUs where the analysis is meant to take place. Large I/O intensive data analyses may thus be efficiently conducted on multiple CPUs without the limitations implied by finite LAN or WAN bandwidths. Although this Scheduler was developed specifically for the STAR Collaboration at Brookhaven National Laboratory, its design is sufficiently general, it can be adapted to virtually any other data analysis tasks carried out by large scientific collaborations.

V. Mandapaka; C. Pruneau; J. Lauret; S. Zeadally

2004-01-25T23:59:59.000Z

318

STAR-Scheduler: A Batch Job Scheduler for Distributed I/O Intensive Applications  

E-Print Network (OSTI)

We present the implementation of a batch job scheduler designed for single-point management of distributed tasks on a multi-node compute farm. The scheduler uses the notion of a meta-job to launch large computing tasks simultaneously on many nodes from a single user command. Job scheduling on specific computing nodes is predicated on the availability of user specified data files co-located with the CPUs where the analysis is meant to take place. Large I/O intensive data analyses may thus be efficiently conducted on multiple CPUs without the limitations implied by finite LAN or WAN bandwidths. Although this Scheduler was developed specifically for the STAR Collaboration at Brookhaven National Laboratory, its design is sufficiently general, it can be adapted to virtually any other data analysis tasks carried out by large scientific collaborations.

Mandapaka, V; Lauret, J; Zeadally, S

2004-01-01T23:59:59.000Z

319

To Schedule or to Execute: Decision Support and PerformanceImplications  

Science Conference Proceedings (OSTI)

This paper addresses a fundamental trade-off in dynamic scheduling between the cost of scheduling and the quality of the resulting schedules. The time allocated to scheduling must be controlled explicitly, in order to obtain good-quality schedules ... Keywords: dynamic scheduling, real-time tasks, scheduling time

Babak Hamidzadeh; Yacine Atif; Krithi Ramamritham

1999-05-01T23:59:59.000Z

320

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

322

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

323

Maintenance scheduling for modular systems-models and algorithms  

E-Print Network (OSTI)

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 ...

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

2011-01-01T23:59:59.000Z

324

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina This rate schedule shall be available to the PowerSouth Energy Cooperative. This rate schedule shall be applicable to power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters, and Richard B. Russell Projects and sold under contract between the Cooperative and the Government. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B. Russell Projects. Document Available for Download ALA-1-N Rate Schedule More Documents & Publications MISS-1-N Wholesale Power Rate Schedule

325

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule

326

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule

327

Evaluation of Job-Scheduling Strategies for Grid Computing  

Science Conference Proceedings (OSTI)

In this paper, we discuss typical scheduling structures that occur in computational grids. Scheduling algorithms and selection strategies applicable to these structures are introduced and classified. Simulations were used to evaluate these aspects considering ...

Volker Hamscher; Uwe Schwiegelshohn; Achim Streit; Ramin Yahyapour

2000-12-01T23:59:59.000Z

328

Resource constrained scheduling problem at U.S. Naval Shipyards  

E-Print Network (OSTI)

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. ...

Nawara, Terrence M. (Terrence Michael)

2013-01-01T23:59:59.000Z

329

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

January - March 2006 Exhibit D: Mirant Potomac River Schedule of Unit Operations: January - March 2006 Docket No. EO-05-01: Exhibit D: Mirant Potomac River Schedule of Unit...

330

Activity based scheduling simulator for product transport using pipeline networks  

Science Conference Proceedings (OSTI)

Oil companies often rely on scheduling algorithms to increase the throughput of oil derivatives and other products which are transported through pipeline networks. This work presents an architecture for a scheduling simulator for pipeline networks, and ...

Danilo Shibata; Daniel Alfenas; Ricardo Guiraldelli; Marcos R. Pereira-Barretto; Fernando Marcellino

2012-12-01T23:59:59.000Z

331

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

332

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

NLE Websites -- All DOE Office Websites (Extended Search)

27-ID and 35-ID Past 27-ID and 35-ID Long Range Schedule (pdf) 27-ID and 35-ID, Construction Schedule Electrical and PSS work continues on 35-ID-B and C. Will not run the main...

333

Non-Conforming Dynamic Scheduling Host Balancing Authority Operating Agreement  

E-Print Network (OSTI)

CAISO states that this type of agreement is applicable to the operators of balancing authority areas hosting resources located outside the CAISO’s balancing authority area that wish to schedule dynamic imports of energy and energy associated with ancillary services (except regulation service, unless otherwise specified) into the CAISO balancing authority area. See CAISO April 5, 2010 Filing at 2.20100604-3026 FERC PDF (Unofficial) 06/04/2010 Docket No. ER10-1015-000 2 River Power, L.P. (Gila River) (Agreement) as a non-conforming service agreement. 3 The Agreement establishes the terms and conditions for the operation of dynamic scheduling 4 functionality from the Gila River host balancing authority area to the CAISO balancing authority area. 5 CAISO states that the Agreement requires compliance with the applicable provisions of the CAISO Open Access Transmission Tariff (CAISO tariff). 2. CAISO states that the host balancing authority area in which Gila River is located is not adjacent to the CAISO balancing authority area. CAISO explains that there are two intermediary balancing authorities (Arizona Public Service Company and Salt River

Washington D. C; Bird Llp; Attn Bradley; R. Miliauskas

2010-01-01T23:59:59.000Z

334

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chapter 6.1 (April 2010) Chapter 6.1 (April 2010) 1 Competition Requirements [Reference: FAR 6 and DEAR 906] Overview This section discusses competition requirements and provides a model Justification for Other than Full and Open Competition (JOFOC). Background The Competition in Contracting Act (CICA) of 1984 requires that all acquisitions be made using full and open competition. Seven exceptions to using full and open competition are specifically identified in Federal Acquisition Regulation (FAR) Subpart 6.3. Documentation justifying the use of any of these exceptions is required. The exception, with supporting documentation, must be certified and approved at certain levels that vary according to the dollar value of the acquisition. The information that must be included in each justification is identified in FAR

335

Required Documents  

NLE Websites -- All DOE Office Websites (Extended Search)

Required Documents Required Documents Required Documents All foreign nationals, including students and postdocs, must select the foreign nationals employment category to complete the new-hire process. Contact (505) 665-7158 Email Complete following forms before New-Hire Orientation Be sure to bring the forms with you for the orientation event, but do not sign and date: Form I-9, Employment Eligibility Verification (pdf) - original, unexpired documents for verification of employment eligibility. Please refer to the I-9 verification form titled, "Lists of Acceptable Documents", which was included with your offer letter. (Laminated documents or hospital/temporary birth certificates are not accepted.) Note: Failure to provide required documents will result in delay and/or

336

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chapter 6.1 (April 2009) Chapter 6.1 (April 2009) Competition Requirements [Reference: FAR 6 and DEAR 906] Overview This section discusses competition requirements and provides a model Justification for Other than Full and Open Competition (JOFOC). Background The Competition in Contracting Act (CICA) of 1984 requires that all acquisitions be made using full and open competition. Seven exceptions to using full and open competition are specifically identified in FAR Part 6. Documentation justifying the use of any of these exceptions is required. The exception, with supporting documentation, must be certified and approved at certain levels that vary according to the dollar value of the acquisition. The information that must be included in each justification is

337

School requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

a smooth surface and no "lip". Some presentations require AV equipment such as LCD or overhead projectors. A wireless microphone and sound system may be helpful to ensure that...

338

Selecting and implementing the PBS scheduler on an SGI Onyx 2/Orgin 2000.  

SciTech Connect

In the Mathematics and Computer Science Division at Argonne, the demand for resources on the Onyx 2 exceeds the resources available for consumption. To distribute these scarce resources effectively, we need a scheduling and resource management package with multiple capabilities. In particular, it must accept standard interactive user logins, allow batch jobs, backfill the system based on available resources, and permit system activities such as accounting to proceed without interruption. The package must include a mechanism to treat the graphic pipes as a schedulable resource. Also required is the ability to create advance reservations, offer dedicated system modes for large resource runs and benchmarking, and track the resources consumed for each job run. Furthermore, our users want to be able to obtain repeatable timing results on job runs. And, of course, package costs must be carefully considered. We explored several options, including NQE and various third-party products, before settling on the PBS scheduler.

Bittner, S.

1999-06-28T23:59:59.000Z

339

Physical Chemistry of Ionic Liquids Symposium Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

(Tentative Schedule, locations and times to be determined) (Tentative Schedule, locations and times to be determined) Sunday Morning Structure and Heterogeneity of Ionic Liquids I. James Wishart and Edward Castner Introductory Remarks Andre Pinkert Hydroxyamine ionic liquids and their properties Thomas Strassner TAAILs - Tunable Aryl-Alkyl Ionic Liquids: A new generation of ionic liquids Laura Sprunger Grubbs Thermodynamic Properties of New Generation Ionic Liquids Christopher Hardacre Prediction methods for physical properties of ionic liquids BREAK Patricia Hunt What happens when you functionalise an ionic liquid with a "silicone" side chain? Edward L Quitevis Effect of cation symmetry and nanoscale segregation on the morphology, physical properties, and low-frequency vibrational dynamics of 1,3-dialkylimidazolium cation ionic liquids

340

Rate Schedule COTP-T3  

NLE Websites -- All DOE Office Websites (Extended Search)

COTP-T3 COTP-T3 (Supersedes Schedule COTP-T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CALIFORNIA-OREGON TRANSMISSION PROJECT SCHEDULE OF RATE FOR POINT-TO-POINT TRANSMISSION SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To customers receiving California-Oregon Transmission Project (COTP) firm and/or non-firm point-to-point (PTP) transmission service. Character and Conditions of Service: Transmission service for three-phase, alternating current at 60-hertz, delivered and metered at the voltages and points of delivery or receipt, adjusted for losses, and delivered to points of

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Rate Schedule CV-F13  

NLE Websites -- All DOE Office Websites (Extended Search)

F13 F13 (Supersedes Schedule CV-F12) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATES FOR BASE RESOURCE AND FIRST PREFERENCE POWER Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To the Base Resource (BR) and First Preference (FP) Power Customers. Character and Conditions of Service: Alternating current, 60-hertz, three-phase, delivered and metered at the voltages and points established by contract. This service includes the Central Valley Project (CVP) transmission (to include reactive supply and voltage control from Federal generation sources needed to support

342

Proposal Submittal and Scheduling Procedures for Macromolecular  

NLE Websites -- All DOE Office Websites (Extended Search)

Proposal Submittal and Scheduling Procedures for Macromolecular Proposal Submittal and Scheduling Procedures for Macromolecular Crystallography Beam time for macromolecular crystallography projects is obtained by submitting an SSRL Macromolecular Crystallography Proposal. This proposal is peer reviewed by the Structural Molecular Biology and Biophysics subpanel of the SSRL Proposal Review Panel (PRP) for scientific merit and rating and for criticality of synchrotron radiation use. Proposal Forms New Proposal Request Form (note: you must be a registered user to submit a proposal through our User Portal. Click on "Become a New User" link to register.) Extension Application for Macromolecular Crystallography Proposals Rapid Access Application Form Types of Proposals Proposals should be submitted under one of the following classifications.

343

400A Construction Schedule | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

APCF APCF Past APCF Memoranda APCF Past Construction Past APCF Construction Day Activity Impact Monday - 10.01.12 Excavation Small Concrete Small Site Utilities Small Tuesday - 10.02.12 Excavation Small Concrete Small Site Utilities Small Wednesday - 10.03.12 Excavation Small Concrete Small Site Utilities Moderate Thursday - 10.04.12 Excavation Small Concrete Small Site Utilities Moderate Friday - 10.05.12 Excavation Small Concrete Small Site Utilities Moderate Site Utility water line hot tap Moderate Saturday - 10.06.12 No work is scheduled for the weekends -/- Sunday - 10.07.12 No work is scheduled for the weekends -/- Monday - 10.08.12 Excavation Small Concrete Small Interior underground plumbing Small Site Utilities Moderate Site Utility water line hot tap Moderate

344

Process industry scheduling optimization using genetic algorithm and mathematical programming  

Science Conference Proceedings (OSTI)

This article addresses the problem of scheduling in oil refineries. The problem consists of a multi-product plant scheduling, with two serial machine stages--a mixer and a set of tanks--which have resource constraints and operate on a continuous flow ... Keywords: Genetic algorithm, MILP, Refining, Scheduling

F. Oliveira; S. Hamacher; M. R. Almeida

2011-10-01T23:59:59.000Z

345

Resource Constraints for Preemptive Job-shop Scheduling  

Science Conference Proceedings (OSTI)

This paper presents an experimental study of constraint propagation algorithms for preemptive scheduling. We propose generalizations of non-preemptive constraint propagation techniques (based on timetables, on disjunctive constraints, and on edge-finding) ... Keywords: constraint propagation, disjunctive constraints, edge-finding, job-shop scheduling, network flows, preemptive scheduling, resource constraints, timetables

Claude Le Pape; Philippe Baptiste

1998-10-01T23:59:59.000Z

346

A new model for allocating resources to scheduled lightpath demands  

Science Conference Proceedings (OSTI)

Recent research has clearly established that holding-time-aware routing-and-wavelength-assignment (RWA) schemes lead to significant improvements in resource utilization for scheduled traffic. Two different models have been proposed for scheduled traffic ... Keywords: Routing and wavelength assignment, Scheduled traffic model, Segmented sliding window model, Wavelength division multiplexing

Ying Chen; Arunita Jaekel; Ataul Bari

2011-09-01T23:59:59.000Z

347

Energy-efficient deadline scheduling for heterogeneous systems  

Science Conference Proceedings (OSTI)

Energy efficiency is a major concern in modern high performance computing (HPC) systems and a power-aware scheduling approach is a promising way to achieve that. While there are a number of studies in power-aware scheduling by means of dynamic power ... Keywords: Deadline scheduling, Energy efficiency, High performance computing, Pricing scheme

Yan Ma; Bin Gong; Ryo Sugihara; Rajesh Gupta

2012-12-01T23:59:59.000Z

348

Lot sizing and furnace scheduling in small foundries  

Science Conference Proceedings (OSTI)

A lot sizing and scheduling problem prevalent in small market-driven foundries is studied. There are two related decision levels: (1) the furnace scheduling of metal alloy production, and (2) moulding machine planning which specifies the type and size ... Keywords: Lot sizing and scheduling, Meta-heuristics, Mixed integer programming

Silvio A. de Araujo; Marcos N. Arenales; Alistair R. Clark

2008-03-01T23:59:59.000Z

349

Particle swarm optimization applied to vertical traffic scheduling in buildings  

Science Conference Proceedings (OSTI)

Vertical traffic scheduling is significant in evaluating the quality of property management. An excellent vertical traffic scheduling approach aims at enhancing the system handling capacity and reducing the waiting time, journey time and energy consumption, ... Keywords: dynamic zoning, elevator group control system, particle swarm optimization, round-trip time, vertical traffic scheduling

Zhonghua Li; Hong-Zhou Tan; Yunong Zhang

2007-09-01T23:59:59.000Z

350

Continuous Nonlinear Programming Techniques to Solve Scheduling Problems  

Science Conference Proceedings (OSTI)

One of the most known applications of Discrete Optimization is on scheduling. In contrast, one of the most known applications of Continuous Nonlinear Optimization is on the control of dynamic systems. In this paper, we combine both views, solving scheduling ... Keywords: nonlinear programming, optimal control, scheduling

Fabio D. Fagundez; Adilson E. Xavier; Joao L. D. Faco

2009-04-01T23:59:59.000Z

351

Scheduling workflow applications on processors with different capabilities  

Science Conference Proceedings (OSTI)

Efficient scheduling of workflow applications represented by weighted directed acyclic graphs (DAG) on a set of heterogeneous processors is essential for achieving high performance. The optimization problem is NP-complete in general. A few heuristics ... Keywords: DAG, Heterogeneous systems, List scheduling, Task scheduling, Workflow

Zhiao Shi; Jack J. Dongarra

2006-05-01T23:59:59.000Z

352

Solving production scheduling problems using advanced model checking tools  

Science Conference Proceedings (OSTI)

The main scope of this paper is the implementation of a method for production scheduling, using advanced model checking tools. This method makes use of timed automata to model complex production scheduling problems such as the job-shop and the open-shop ... Keywords: distributed manufacturing, job-shops, model checking, production scheduling, timed automata

Dimitrios Panopoulos; Kostas Metaxiotis

2006-06-01T23:59:59.000Z

353

Optimisation-based scheduling: A discrete manufacturing case study  

Science Conference Proceedings (OSTI)

This work presents the development and implementation of a production scheduling system for an electrical appliance manufacturer. Based on recent advances in optimisation-based scheduling approaches, two different software architectures based on two ... Keywords: Discrete manufacturing, Electrical appliances, Mixed-integer linear programming, Optimization-based scheduling

Michael C. Georgiadis; Aaron A. Levis; Panagiotis Tsiakis; Ioannis Sanidiotis; Constantinos C. Pantelides; Lazaros G. Papageorgiou

2005-08-01T23:59:59.000Z

354

Machine Learning Based Online Performance Prediction for Runtime Parallelization and Task Scheduling  

Science Conference Proceedings (OSTI)

With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as well as developing next-generation software requires assistance from hardware, compilers and runtime systems to exploit parallelism transparently within applications. These systems must decompose applications into tasks that can be executed in parallel and then schedule those tasks to minimize load imbalance. However, many systems lack a priori knowledge about the execution time of all tasks to perform effective load balancing with low scheduling overhead. In this paper, we approach this fundamental problem using machine learning techniques first to generate performance models for all tasks and then applying those models to perform automatic performance prediction across program executions. We also extend an existing scheduling algorithm to use generated task cost estimates for online task partitioning and scheduling. We implement the above techniques in the pR framework, which transparently parallelizes scripts in the popular R language, and evaluate their performance and overhead with both a real-world application and a large number of synthetic representative test scripts. Our experimental results show that our proposed approach significantly improves task partitioning and scheduling, with maximum improvements of 21.8%, 40.3% and 22.1% and average improvements of 15.9%, 16.9% and 4.2% for LMM (a real R application) and synthetic test cases with independent and dependent tasks, respectively.

Li, J; Ma, X; Singh, K; Schulz, M; de Supinski, B R; McKee, S A

2008-10-09T23:59:59.000Z

355

Site Specific Records Schedules | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Site Specific Records Schedules Site Specific Records Schedules Site Specific Records Schedules NOTE: Most of the files below are in PDF, you will need Acrobat® Reader(tm) to view these files. TITLE DATE LAST CHANGED AUTHORIZATION NUMBER AEC -- Administrative Record (pdf) 01/15/01 II-NNA-6754 AEC -- Nuclear Power Plant Docket Records (pdf) 01/15/01 NC-174-231 AEC -- Power Reactor Records (pdf) 01/15/01 II-NNA-2110 Alaska Power Administration (pdf) 02/09/01 N1-447-97-1 Appointee Clearance and Vetting Files (pdf) 09/10/02 N1-434-96-3 Bettis Atomic Laboratory Naval Reactors (pdf) 09/09/91 N1-434-91-8 Bonneville Power Administration (pdf) 08/06/07 N1-305-07-1 Cyclotron Records, Lawrence Berkeley National Laboratory (pdf) 12/22/88 N1-434-89-7 Energy Information Administration (EIARS) (pdf) 10/21/03 N1-434-96-2

356

Weekly Natural Gas Storage Report Schedule  

Weekly Natural Gas Storage Report (EIA)

Weekly Natural Gas Storage Report Schedule Weekly Natural Gas Storage Report Schedule Holiday Release Schedule The standard release time and day of the week will be at 10:30 a.m. (Eastern time) on Thursdays with the following exceptions. All times are Eastern. Alternate Release Date Release Day Release Time Holiday 11/27/2013 Wednesday 12:00 p.m. 11/28/2013 (Thursday) is Thanksgiving Day 12/27/2013 Friday 10:30 a.m. 12/25/2013 (Wednesday) is Christmas Day 1/3/2014 Friday 10:30 a.m. 1/1/2014 (Wednesday) is New Year's Day 11/14/2014 Friday 10:30 a.m. 11/11/2014 (Tuesday) is Veterns Day 11/26/2014 Wednesday 12:00 p.m. 11/27/2014 (Thursday) is Thanksgiving Day 12/24/2014 Wednesday 12:00 p.m. 12/25/2014 (Thursday) is Christmas Day 12/31/2014 Wednesday 12:00 p.m. 1/1/2015 (Thursday) is New Year's Day

357

Energy Efficient Scheduling via Partial Shutdown  

E-Print Network (OSTI)

Motivated by issues of saving energy in data centers we define a collection of new problems referred to as "machine activation" problems. The central framework we introduce considers a collection of $m$ machines (unrelated or related) with each machine $i$ having an {\\em activation cost} of $a_i$. There is also a collection of $n$ jobs that need to be performed, and $p_{i,j}$ is the processing time of job $j$ on machine $i$. We assume that there is an activation cost budget of $A$ -- we would like to {\\em select} a subset $S$ of the machines to activate with total cost $a(S) \\le A$ and {\\em find} a schedule for the $n$ jobs on the machines in $S$ minimizing the makespan (or any other metric). For the general unrelated machine activation problem, our main results are that if there is a schedule with makespan $T$ and activation cost $A$ then we can obtain a schedule with makespan $\\makespanconstant T$ and activation cost $\\costconstant A$, for any $\\epsilon >0$. We also consider assignment costs for jobs as in ...

Kuller, Samir; Saha, Barna

2009-01-01T23:59:59.000Z

358

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

--------------------------- Chapter 6.5 (January 2011) 1 Competition Advocate Responsibilities [Reference: FAR 6.5, FAR 7 and DEAR 906.501] Overview This section discusses the competition advocate requirements and provides a Federal Procurement Data System-New Generation (FPDS-NG) coding assistance sheet and screen shots for the FPDS-NG Competition Report. Background FAR Part 6.5, -Competition Advocates,‖ implements section 20 of the Office of Federal Procurement Policy Act, which requires the head of each executive agency to designate an Agency Competition Advocate and Procuring Activity Advocates (hereafter referred to as Activity Competition Advocates). In accordance with DEAR 906.501, the Secretary of

359

Supervisory Training Requirements | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Supervisory Training Requirements Supervisory Training Requirements Supervisory Training Requirements The Office of Learning and Workforce Development has developed an inventory of training and developmental activities that will meet the supervisory training requirements. The DOE courses, Supervisory Essentials and Navigating the Federal Hiring Process are required to fulfill the first 40-hour of the probationary period mandatory training requirement for new supervisors. All other courses listed in the training framework are suggested to meet overall continual learning requirements. Supervisory Training Requirements More Documents & Publications EM's Development Program for New Managers/Supervisors Presentation DOE F 3315.1 Supervisory - Non-Supervisory Employee Performance Management and

360

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Santee-1-E Wholesale Power Rate Schedule Area: Central, Bamberg, and Georgetown System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled and scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

362

Pump-2 Wholesale Power Rate Schedule | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 Wholesale Power Rate Schedule 2 Wholesale Power Rate Schedule Pump-2 Wholesale Power Rate Schedule Area: Carters & Russell Pumping-Self Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives who provide their own scheduling arrangement and elect to allow Southeastern to use a portion of their allocation for pumping (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy generated from pumping operations at the Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and

363

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina served through the transmission facilities of Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

364

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule

365

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted and scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

366

Replacement-1 Wholesale Power Rate Schedule | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Area: Replacement Energy System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-1 Rate Schedule More Documents & Publications Replacement-3 Wholesale Power Rate Schedule

367

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule

368

Competition Requirements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

- Chapter 5.2 (April 2008) - Chapter 5.2 (April 2008) Synopsizing Proposed Non-Competitive Contract Actions Citing the Authority of FAR 6.302-1 [Reference: FAR 5 and DEAR 905] Overview This section discusses publicizing sole source actions as part of the approval of a Justification for Other than Full and Open Competition (JOFOC) using the authority of FAR 6.302-1. Background The Competition in Contracting Act (CICA) of 1984 requires that all acquisitions be made using full and open competition. Seven exceptions to using full and open competition are specifically identified in FAR Part 6. One exception permits contracting without full and open competition when the required supplies or services are available from only one responsible source (FAR 6.302-1). This exception is

369

Solar Decathlon 2005 Daily Event Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

DAILY EVENT SCHEDULE DAILY EVENT SCHEDULE Last updated on September 30, 2005 Note: This schedule is not part of the official Rules and Regulations and is subject to change at any time. Weds, Sept 28 12:00 AM 12:30 AM 1:00 AM 1:30 AM 2:00 AM 2:30 AM 3:00 AM 3:30 AM 4:00 AM 4:30 AM 5:00 AM 5:30 AM 6:00 AM 6:30 AM 7:00 AM 7:30 AM 8:00 AM 8:30 AM 9:00 AM 9:30 AM 10:00 AM 10:30 AM 11:00 AM 11:30 AM 12:00 PM 12:30 PM 1:00 PM 1:30 PM 2:00 PM 2:30 PM 3:00 PM 3:30 PM 4:00 PM 4:30 PM 5:00 PM 5:30 PM 6:00 PM 6:30 PM 7:00 PM 7:30 PM 8:00 PM 8:30 PM 9:00 PM 9:30 PM 10:00 PM 10:30 PM 11:00 PM 11:30 PM Registration Forrestal Bldg (DOE) Cafeteria National Mall Team/Organizer meeting and Safety Orientation Thurs, Sept 29 12:00 AM 12:30 AM 1:00 AM 1:30 AM 2:00 AM 2:30 AM 3:00 AM 3:30 AM 4:00 AM 4:30 AM 5:00 AM 5:30 AM 6:00 AM 6:30 AM 7:00

370

APS Long Range Operations Schedule FY2009  

NLE Websites -- All DOE Office Websites (Extended Search)

09) 09) Alternate Formats: iCal | Excel | PDF APS Long Range Operation Schedule (FY2009) 2008-3 2009-1 2009-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5

371

APS Long Range Operations Schedule FY2010  

NLE Websites -- All DOE Office Websites (Extended Search)

10) 10) Alternate Formats: iCal | Excel | PDF APS Long-Range Operation Schedule 2009-3 2010-1 2010-2 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5

372

Optimizing hourly hydro operations at the Salt Lake City Area integrated projects  

DOE Green Energy (OSTI)

The Salt Lake City Area (SLCA) office of the Western Area Power Administration (Western) is responsible for marketing the capacity and energy generated by the Colorado Storage, Collbran, and Rio Grande hydropower projects. These federal resources are collectively called the Salt Lake City Area Integrated Projects (SLCA/IP). In recent years, stringent operational limitations have been placed on several of these hydropower plants including the Glen Canyon Dam, which accounts for approximately 80% of the SLCA/IP resources. Operational limitations on SLCA/IP hydropower plants continue to evolve as a result of decisions currently being made in the Glen Canyon Dam Environmental Impact Statement (EIS) and the Power Marketing EIS. To analyze a broad range of issues associated with many possible future operational restrictions, Argonne National Laboratory (ANL), with technical assistance from Western has developed the Hydro LP (Linear Program) Model. This model simulates hourly operations at SLCA/IP hydropower plants for weekly periods with the objective of maximizing Western`s net revenues. The model considers hydropower operations for the purpose of serving SLCA firm loads, loads for special projects, Inland Power Pool (IPP) spinning reserve requirements, and Western`s purchasing programs. The model estimates hourly SLCA/IP generation and spot market activities. For this paper, hourly SLCA/IP hydropower plant generation is simulated under three operational scenarios and three hydropower conditions. For each scenario an estimate of Western`s net revenue is computed.

Veselka, T.D.; Hamilton, S. [Argonne National Lab., IL (United States); McCoy, J. [Western Area Power Administration, Salt Lake City, UT (United States)

1995-06-01T23:59:59.000Z

373

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

374

MaGate: An Interoperable, Decentralized and Modular High-Level Grid Scheduler  

Science Conference Proceedings (OSTI)

This work presents the design and architecture of a decentralized grid scheduler named MaGate, which is developed within the SmartGRID project and focuses on grid scheduler interoperation. The MaGate scheduler is modular structured, and emphasizes the ... Keywords: Grid Computing, MaGate Scheduler, Meta-Scheduling, Scheduling, SmartGRID

Ye Huang; Amos Brocco; Michele Courant; Beat Hirsbrunne; Pierre Kuonen

2010-07-01T23:59:59.000Z

375

An Implementation of Swing Modulo Scheduling with Extensions for Superblocks  

E-Print Network (OSTI)

This thesis details the implementation of Swing Modulo Scheduling, a Software Pipelining tech-nique, that is both effective and efficient in terms of compile time and generated code. Software Pipelining aims to expose Instruction Level Parallelism in loops which tend to help scientific and graphical applications. Modulo Scheduling is a category of algorithms that attempt to overlap iterations of single basic block loops and schedule instructions based upon a priority (derived from a set of heuristics). The approach used by Swing Modulo Scheduling is designed to achieve a highly optimized schedule, keeping register pressure low, and does both in a reasonable amount of compile time. One drawback of Swing Modulo Scheduling, (and all Modulo Scheduling algorithms) is that they are missing opportunities for further Instruction Level Parallelism by only handling single basic block loops. This thesis details extensions to the Swing Modulo Scheduling algorithm to handle multiple basic block loops in the form of a superblock. A superblock is group of basic blocks that have a single entry and multiple exits. Extending Swing Modulo Scheduling to support these types of loops increases the number of loops Swing Modulo Scheduling can be applied to. In

Tanya M. Lattner

2005-01-01T23:59:59.000Z

376

APS Long Range Schedule FY1999  

NLE Websites -- All DOE Office Websites (Extended Search)

9 Beamline Operations Schedule 9 Beamline Operations Schedule JAN Monday Tuesday Wednesday Thursday Friday Saturday Sunday Week 1 18 19 20 21 22 23 24 0000 - 0800 MS MS MS MS UO UO UO 0800 - 1600 MS MS MS UO UO UO UO 1600 - 2400 MS MS MS UO UO UO UO Week 2 25 26 27 28 29 30 31 0000 - 0800 UO UO UO UO UO UO UO 0800 - 1600 UO MS UO UO UO UO UO 1600 - 2400 UO UO UO UO UO UO UO FEB 1 2 3 4 5 6 7 0000 - 0800 UO MS MS UO UO UO UO 0800 - 1600 MS MS UO UO UO UO UO 1600 - 2400 MS MS UO UO UO UO UO Week 4 8 9 10 11 12 13 14 0000 - 0800 UO UO UO UO UO UO UO 0800 - 1600 UO MS UO UO* UO UO UO 1600 - 2400 UO UO UO UO UO UO UO Week 5 15 16 17 18 19 20 21 0000 - 0800 UO MS MS UO UO U O UO

377

APS Long Range Schedule FY1996  

NLE Websites -- All DOE Office Websites (Extended Search)

Long Range Commissioning Schedule for FY1996 Long Range Commissioning Schedule for FY1996 Date First Shift 0:00-8:00 Second Shift 8:00-16:00 Third Shift 16:00-24:00 3/15/96 SR Studies 1-ID-A Shielding Verification SR Studies 3/23/96 SR Studies 3-ID-A , 2-ID-A , 3-ID-B Shielding Verifications User Beam 3/24/96 User Beam User Beam User Beam 3/25/96 User Beam 19-ID-A Shielding Verification User Beam 3/26/96 User Beam 2-ID-A , 12-BM-A Shielding Verifications User Beam 3/27/96 User Beam 5-BM-A Shielding Verification User Beam 3/28/96 User Beam 19-ID-C Shielding Verification User Beam until 20:00 3/29/96 SR Studies SR Studies SR Studies 3/30/96 SR Studies SR Studies SR Studies 3/31/96 SR Studies SR Studies SR Studies 4/1/96 SR Studies SR Studies SR Studies 4/2/96 SR Studies 5-BM-B Shielding Verification User Beam

378

Weekly Natural Gas Storage Report Schedule  

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

‹ Weekly Natural Gas Storage Report ‹ Weekly Natural Gas Storage Report Weekly Natural Gas Storage Report Schedule Holiday Release Schedule The standard release time and day of the week will be at 10:30 a.m. (Eastern time) on Thursdays with the following exceptions. All times are Eastern. Alternate Release Date Release Day Release Time Holiday 7/6/2012 Friday 10:30 a.m. 7/4/2012 (Wednesday) is Independence Day 11/21/2012 Wednesday 12:00 p.m. 11/22/2012 (Thursday) is Thanksgiving Day 12/28/2012 Friday 10:30 a.m. 12/25/2012 (Tuesday) is Christmas Day 1/4/2013 Friday 10:30 a.m. 1/1/2013 (Tuesday) is New Year's Day 7/3/2013 Wednesday 12:00 p.m. 7/4/2013 (Thursday) is Independence Day 10/22/2013 Tuesday 10:30 a.m. EIA Closed 11/27/2013 Wednesday 12:00 p.m. 11/28/2013 (Thursday) is Thanksgiving Day

379

APS Long Range Schedule FY1997  

NLE Websites -- All DOE Office Websites (Extended Search)

7 Beamline Operations Schedule 7 Beamline Operations Schedule January Monday Tuesday Wednesday Thursday Friday Saturday Sunday 6 7 8 9 10 11 12 00:00-08:00 MS MS UO UO UO UO UO 08:00-16:00 MS UO UO UO SV UO UO 16:00-24:00 MS UO UO UO UO UO UO 13 14 15 16 17 18 19 00:00-08:00 UO UO UO UO UO MS MS 08:00-16:00 UO SV SV Contingency UO MS MS MS 16:00-24:00 UO UO UO UO MS MS MS 20 21 22 23 24 25 26 00:00-08:00 MS UO UO UO UO UO MS 08:00-16:00 UO UO SV Contingency UO UO MS MS 16:00-24:00 UO UO UO UO UO MS MS 27 28 29 30 31 1 2 00:00-08:00 MS SM SM SM SM SM SM 08:00-16:00 MS SM SM SM SM SM SM 16:00-24:00 MS SM SM SM SM SM SM FEB Monday Tuesday Wednesday Thursday Friday Saturday Sunday

380

APS Long Range Schedule FY1998  

NLE Websites -- All DOE Office Websites (Extended Search)

8 Beamline Operations Schedule 8 Beamline Operations Schedule JAN Monday Tuesday Wednesday Thursday Friday Saturday Sunday Week 1 5 6 7 8 9 10 11 0000 - 0800 SM SM SM MS MS MS MS 0800 - 1600 SM SM* MS MS MS MS MS 1600 - 2400 SM SM MS MS MS MS MS Week 2 12 13 14 15 16 17 18 0000 - 0800 MS MS UO UO UO UO UO 0800 - 1600 MS* UO UO UO UO UO UO 1600 - 2400 MS UO UO UO UO UO UO Week 3 19 20 21 22 23 24 25 0000 - 0800 UO MS UO UO UO UO UO 0800 - 1600 MS UO UO UO UO UO UO 1600 - 2400 MS UO UO UO UO UO UO JAN/FEB 26 27 28 29 30 31 1 0000 - 0800 UO MS UO UO UO UO UO 0800 - 1600 MS SOM UO UO UO UO UO 1600 - 2400 MS UO UO UO UO UO UO Week 5 2 3 4 5 6 7 8 0000 - 0800 UO MS UO UO UO UO UO

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

382

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

383

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

384

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

385

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

386

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

387

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-A Wholesale Power Rate Schedule 2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power Rate Schedule Area: Replacement Energy System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and Virginia to whom power is provided pursuant to contracts between the Government and the customer from the John H. Kerr and Philpott Projects (or Kerr-Philpott System). This rate schedule shall be applicable to the sale of wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-2-A Rate Schedule More Documents & Publications Southeastern Power Administration 2010 Annual Report

388

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3-B Wholesale Power Rate Schedule 3-B Wholesale Power Rate Schedule AP-3-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download

389

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Santee-4-E Wholesale Power Rate Schedule Area: Santee-Cooper System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina served through the transmission facilities of South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B.

390

Descriptions of Task Order Schedules and Placement of Pricing Information  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

RFP DE-RP36-06GO96031 RFP DE-RP36-06GO96031 10/11/2007 ATTACHMENT J-5 DESCRIPTIONS OF TASK ORDER SCHEDULES AND PLACEMENT OF PRICING INFORMATION J-5.1 DESCRIPTIONS OF TASK ORDER (TO) SCHEDULES (SCHEDULE TEMPLATES ARE PROVIDED IN ATTACHMENT J-6) J-5.1.1 Schedule TO-1 (Preliminary Assessment - PA) - Proposed Guaranteed Cost Savings and Contractor Payments - Schedule TO-1 (PA) shall be submitted to present the contractor's estimated cost savings, proposed guaranteed cost savings, and contractor payments. TO-1 (PA) values submitted may be in estimated ranges. Based on the preliminary survey and agency discussions, the contractor shall submit a completed Schedule TO-1 (PA) containing: A. Column (a) - Contractor submits proposed estimated cost savings during the implementation period, prior to full project acceptance (see most recent version

391

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer.

392

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. The Customer is responsible for providing a scheduling arrangement with the Government. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate

393

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Santee-2-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

394

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F.

395

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1-B Wholesale Power Rate Schedule 1-B Wholesale Power Rate Schedule AP-1-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted and scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer.

396

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule Area: Former customers of TVA System: Cumberland This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and the Customer. Document Available for Download CTVI-1-A Rate Schedule More Documents & Publications

397

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F.

398

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule Area: Virginia Power/CP&L System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to a contract between the Government and Virginia Electric and Power Company (hereinafter called the Virginia Power) and PJM Interconnection LLC (hereinafter called PJM), scheduled pursuant to a contract between the Government and Carolina Power & Light Company (hereinafter called CP&L), and billed pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale of power

399

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule VA-4-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina served through the transmission facilities of Virginia Electric and Power Company (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download VA-4-B Rate Schedule More Documents & Publications

400

Descriptions of Task Order Schedules and Placement of Pricing Information  

NLE Websites -- All DOE Office Websites (Extended Search)

RFP DE-RP36-06GO96031 RFP DE-RP36-06GO96031 10/11/2007 ATTACHMENT J-5 DESCRIPTIONS OF TASK ORDER SCHEDULES AND PLACEMENT OF PRICING INFORMATION J-5.1 DESCRIPTIONS OF TASK ORDER (TO) SCHEDULES (SCHEDULE TEMPLATES ARE PROVIDED IN ATTACHMENT J-6) J-5.1.1 Schedule TO-1 (Preliminary Assessment - PA) - Proposed Guaranteed Cost Savings and Contractor Payments - Schedule TO-1 (PA) shall be submitted to present the contractor's estimated cost savings, proposed guaranteed cost savings, and contractor payments. TO-1 (PA) values submitted may be in estimated ranges. Based on the preliminary survey and agency discussions, the contractor shall submit a completed Schedule TO-1 (PA) containing: A. Column (a) - Contractor submits proposed estimated cost savings during the implementation period, prior to full project acceptance (see most recent version

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association System: Georgia-Alabama-South Carolina This rate schedule shall be available to the South Mississippi Electric Power Association (hereinafter called the Customer) to whom power may be wheeled pursuant to contracts between the Government and PowerSouth Energy Cooperative (hereinafter called PowerSouth). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

402

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule SOCO-3-E Wholesale Power Rate Schedule Area: MEAG, Dalton System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between

403

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule AP-4-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia served through the facilities of American Electric Power Service Corporation (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download AP-4-B Rate Schedule More Documents & Publications

404

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.31  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 1 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.31 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 17 August 2006 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

405

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.34  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4 4 On this page you'll find information about the Hourly Analysis Program (HAP) version 4.34 qualified computer software (www.buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.gov/commercial/). Date Documentation Received by DOE: 10 August 2007 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221 (2) The name, email address, and

406

Energy-cost-aware scheduling of HPC workloads  

Science Conference Proceedings (OSTI)

Job submission in high performance computing workloads exhibits a diurnal pattern similar to electrical prices. While high-priority jobs may need immediate access to resources, by altering the cluster scheduler to delay the execution of lower-priority ... Keywords: electricity cost saving, energy-cost-aware scheduling, HPC workload, high performance computing workloads, high-priority jobs, resource access, cluster scheduler, power price, power demand reduction, energy availability, carbon footprint, electrical grid, electrical pricing, environmentally friendly renewable energy source, electrical grid

D. Aikema; C. Kiddle; R. Simmonds

2011-06-01T23:59:59.000Z

407

An Effective Optimization-Based Algorithm for Job Shop Scheduling with Fixed-Size Transfer Lots  

E-Print Network (OSTI)

Effective scheduling of production lots is of great importance for manufacturing medium to high-volume products that require significant setup times. Compared to traditional entire-lot production, lot splitting techniques divide a production lot into multiple smaller sublots so that each sublot can be "transferred" from one stage of operation to the next as soon as it has been completed. "Transfer lots," therefore, significantly reduce lead times and lower work-in-process (WIP) inventory. The mathematical modeling, analysis, and control of transfer lots, however, is extremely difficult. This paper presents a novel integer programming formulation with separable structure for scheduling job shops with fixed-size transfer lots. A solution methodology based on a synergistic combination of Lagrangian relaxation, backward dynamic programming (BDP), and heuristics is developed. Through explicit modeling of lot dynamics, transfer lots are handled on standard machines, machines with setups, and machines requiring all transfer lots within a production lot to be processed simultaneously. With "substates" and the derivation of DP functional equations considering transfer lot dynamics, the standard BDP is extended to solve the lot-level subproblems. The recently developed "time step reduction technique" is also used for increased efficiency. It implicitly establishes two time scales to reduce computational requirements without much loss of modeling accuracy and scheduling performance, thus enabling resolution of long-horizon problems within controllable computational requirements. The method has been implemented using object-oriented programming language C++, and numerical tests show that high-quality schedules involving transfer lots are efficiently generated to achieve on-time delivery of products with low WIP inventory.

Bin Jin; Peter B. Luh; L.S. Thakur

1999-01-01T23:59:59.000Z

408

2007 Solar Decathlon Detailed Event Schedule  

NLE Websites -- All DOE Office Websites (Extended Search)

DETAILED EVENT SCHEDULE DETAILED EVENT SCHEDULE Last updated on September 14, 2007 Note: This schedule is subject to change at any time. 12:00 AM 12:30 AM 1:00 AM 1:30 AM 2:00 AM 2:30 AM 3:00 AM 3:30 AM 4:00 AM 4:30 AM 5:00 AM 5:30 AM 6:00 AM 6:30 AM 7:00 AM 7:30 AM 8:00 AM 8:30 AM 9:00 AM 9:30 AM 10:00 AM 10:30 AM 11:00 AM 11:30 AM 12:00 PM 12:30 PM 1:00 PM 1:30 PM 2:00 PM 2:30 PM 3:00 PM 3:30 PM 4:00 PM 4:30 PM 5:00 PM 5:30 PM 6:00 PM 6:30 PM 7:00 PM 7:30 PM 8:00 PM 8:30 PM 9:00 PM 9:30 PM 10:00 PM 10:30 PM 11:00 PM 11:30 PM 12:00 AM 12:30 AM 1:00 AM 1:30 AM 2:00 AM 2:30 AM 3:00 AM 3:30 AM 4:00 AM 4:30 AM 5:00 AM 5:30 AM 6:00 AM 6:30 AM 7:00 AM 7:30 AM 8:00 AM 8:30 AM 9:00 AM 9:30 AM 10:00 AM 10:30 AM 11:00 AM 11:30 AM 12:00 PM 12:30 PM 1:00 PM 1:30 PM 2:00 PM 2:30 PM 3:00 PM 3:30 PM 4:00 PM 4:30 PM 5:00 PM 5:30 PM 6:00 PM 6:30 PM 7:00 PM 7:30 PM 8:00

409

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

410

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

411

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

412

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

413

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

414

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

415

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

416

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

417

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

418

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

419

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

420

Water pollution Control Permit Fee Schedules (West Virginia) | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

pollution Control Permit Fee Schedules (West Virginia) pollution Control Permit Fee Schedules (West Virginia) Water pollution Control Permit Fee Schedules (West Virginia) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Program Info State West Virginia Program Type Fees Siting and Permitting Provider Department of Environmental Protection This rule establishes schedules of permit application fees and annual permit fees for state water pollution control permits and national

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

RECORDS DISPOSITION SCHEDULE: Year 2000 Project Records | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Year 2000 Project Records RECORDS DISPOSITION SCHEDULE: Year 2000 Project Records Year 2000 (Y2K) Project records have been created to document the effort of the Department...

422

Optimal investment and scheduling of distributed energy resources with  

NLE Websites -- All DOE Office Websites (Extended Search)

investment and scheduling of distributed energy resources with investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules Title Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules Publication Type Journal Article LBNL Report Number LBNL-6471E Year of Publication 2013 Authors Cardoso, Gonçalo, Michael Stadler, Mohammad Bozchalui, Ratnesh Sharma, Chris Marnay, Ana Barbosa-Póvoa, and Paulo Ferrão Journal Energy Date Published 10/2013 Abstract 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.

423

Simulation Optimization for the Stochastic Economic Lot Scheduling ...  

E-Print Network (OSTI)

Lot-sizing and scheduling are classical problems of production planning, with particularly ...... i ,?} for all policies, with ? ? 1 to ensure exploration in case µx.

424

Exponential neighborhood search for a parallel machine scheduling ...  

E-Print Network (OSTI)

production is early and additional costs resulting from a tardy delivery. The scheduling problem we study in this article stems from this just-in-time philosophy .

425

Optimization Online - Scheduling Workover Rigs for Onshore Oil ...  

E-Print Network (OSTI)

Oct 12, 2003 ... Scheduling Workover Rigs for Onshore Oil Production. Dario Aloise (dario ***at** * dimap.ufrn.br) Daniel Aloise (aloise ***at*** inf.puc-rio.br)

426

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network (OSTI)

Aug 17, 2011 ... Optimization Online. Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

427

Scheduling Tertiary I/O in Database Applications  

E-Print Network (OSTI)

We study the problem of scheduling I/O requests for tertiary storage libraries to improve performance. The focus is on scheduling policies that process all requests on a loaded medium before unloading it. For single drive settings an efficient algorithm that produces optimal schedules is developed. For multiple drives the problem is shown to be NP-Complete. Efficient and effective heuristics are presented for the multiple drives case. The scheduling policies developed achieve significant performance gains over more naive first come first server policies. The study is general enough to be applicable to any storage library handling removable media, such as tapes or optical disks.

Sunil Prabhakar; Divyakant Agrawal; Amr El Abbadi; Ambuj Singh

1997-01-01T23:59:59.000Z

428

Flow shop scheduling with peak power consumption constraints  

E-Print Network (OSTI)

Mar 29, 2012 ... In particular, we consider a flow shop scheduling problem with a restriction on peak power consumption, in addition to the traditional ...

429

A combinatorial auctions perspective on min-sum scheduling ...  

E-Print Network (OSTI)

Proof This is a consequence of the equivalence relations, whose proof is the essentially the same ..... paper, but believe of interest to the scheduling community.

430

Parallel machine scheduling with nested job assignment restrictions  

Science Conference Proceedings (OSTI)

We derive a polynomial time approximation scheme for a special case of makespan minimization on unrelated machines. Keywords: Approximation algorithms, Restricted assignment, Scheduling

Gabriella Muratore; Ulrich M. Schwarz; Gerhard J. Woeginger

2010-01-01T23:59:59.000Z

431

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule...

432

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule...

433

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

NLE Websites -- All DOE Office Websites (Extended Search)

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

434

title Microgrid Reliability Modeling and Battery Scheduling Using...  

NLE Websites -- All DOE Office Websites (Extended Search)

article title Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming journal Journal of Electric Power Systems Research volume year month pages...

435

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

U.S. Energy Information Administration (EIA)

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

436

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

More Documents & Publications ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 Financial Management Handbook Handbook on Overseas Assignments...

437

New optimization techniques for power system generation scheduling.  

E-Print Network (OSTI)

??Generation scheduling in restructured electric power systems is critical to maintain the stability and security of a power system and economical operation of the electricity… (more)

Sun, Wei

2011-01-01T23:59:59.000Z

438

_PART I - THE SCHEDULE SECTION B-H  

National Nuclear Security Administration (NNSA)

for the KCP: meeting product schedule; meeting product specification; cost management; asset management; and compliance to contract standards including ES&H and National Security....

439

Multifit-based scheduling of uniform nonsimultaneous parallel ...  

E-Print Network (OSTI)

it usually orders them in nondecreasing order of their duration and then applies the first .... loop from our algorithm does not produce a feasible schedule. We de-.

440

Analysis of Traffic Scheduling Technique for Smart Grid Mesh ...  

Science Conference Proceedings (OSTI)

Analysis of Traffic Scheduling Technique for Smart Grid Mesh Networks ... In this paper, we present a multi-gate mesh network architecture that has ...

2012-01-03T23:59:59.000Z

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Expanding Your Horizons scheduled for March 2  

NLE Websites -- All DOE Office Websites (Extended Search)

Expanding Your Horizons Expanding Your Horizons Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Expanding Your Horizons scheduled for March 2 The conference offers fifth- to 12th-grade girls opportunities to participate in hands-on workshops about science, technology, engineering, math and related fields. February 1, 2013 dummy image Read our archives. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email Up to 250 young women are expected to participate in the workshops that will include subjects such as computers and robots, veterinary medicine, cryptography and ocean science. This year the Santa Fe and Los Alamos Expanding Your Horizons (EYH) conferences are combined into one, all-day session to be held on March 2 at

442

Microsoft Word - Sec J Atch 2 ReportingRequirementsChecklist RFP FINAL 12-9-08  

NLE Websites -- All DOE Office Websites (Extended Search)

NATIONAL NUCLEAR SECURITY ADMINISTRATION REPORTING REQUIREMENTS CHECKLIST 1. PROGRAM/PROJECT TITLE Personnel Security and Facility Clearance Programs Support Services 2. IDENTIFICATION NUMBER DE-AC52-09NA28681 3. PARTICIPANT NAME AND ADDRESS 4. PLANNING AND REPORTING REQUIREMENTS Frequency A. General Management Management Plan (requires COR approval) Y Status Report M Summary Report B. Schedule/Labor/Cost Milestone Schedule/Plan Labor Plan Y Facilities Capital Cost of Money Factors Comp. Contract Facilities Capital and Cost of Money Cost Plan Y Milestone Schedule/Status

443

How Much Multiuser Diversity is Required for Energy Limited Multiuser Systems?  

E-Print Network (OSTI)

Multiuser diversity (MUDiv) is one of the central concepts in multiuser (MU) systems. In particular, MUDiv allows for scheduling among users in order to eliminate the negative effects of unfavorable channel fading conditions of some users on the system performance. Scheduling, however, consumes energy (e.g., for making users' channel state information available to the scheduler). This extra usage of energy, which could potentially be used for data transmission, can be very wasteful, especially if the number of users is large. In this paper, we answer the question of how much MUDiv is required for energy limited MU systems. Focusing on uplink MU wireless systems, we develop MU scheduling algorithms which aim at maximizing the MUDiv gain. Toward this end, we introduce a new realistic energy model which accounts for scheduling energy and describes the distribution of the total energy between scheduling and data transmission stages. Using the fact that such energy distribution can be controlled by varying the num...

Ko, Youngwook; Ardakani, Masoud

2010-01-01T23:59:59.000Z

444

Rate Schedule CV-T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY  

NLE Websites -- All DOE Office Websites (Extended Search)

T3 T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR POINT-TO-POINT TRANSMISSION SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region. Applicable: To customers receiving Central Valley Project (CVP) firm and/or non-firm Point-to-Point (PTP) transmission service. Character and Conditions of Service: Transmission service for three-phase, alternating current at 60-hertz, delivered and metered at the voltages and points of delivery or receipt, adjusted for losses, and delivered to points of

445

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

E-Print Network (OSTI)

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

Foss, Bjarne A.

446

Efficient scheduling of soft real-time applications on multiprocessors  

Science Conference Proceedings (OSTI)

In soft real-time applications, tasks are allowed to miss their deadlines. Thus, less-costly scheduling algorithms can be used at the price of occasional violations of timing constraints. This may be acceptable if reasonable tardiness bounds (i.e., bounds ... Keywords: Fairness, multiprocessors, quality-of-service, real-time scheduling, soft real-time applications, tardiness

Anand Srinivasan; James H. Anderson

2005-04-01T23:59:59.000Z

447

Hybrid solution algorithms for task scheduling problem with moving executors  

Science Conference Proceedings (OSTI)

Heuristic algorithms for solving the task scheduling problem with moving executors to minimize the sum of completion times are considered. The corresponding combinatorial optimization problem is formulated. Three hybrid solution algorithms are introduced. ... Keywords: Artificial intelligence, Flexible manufacturing systems, Scheduling algorithms

Jerzy Józefczyk

2006-03-01T23:59:59.000Z

448

Queuing model based on scheduling strategies affect local network services  

Science Conference Proceedings (OSTI)

This paper is a comprehensive study of some queuing scheduling strategies that operates on a local network. The study addresses the most convenient strategies used in operating systems. It indicates a new queue model based on some scheduling strategies ... Keywords: first come first serve, last come first serve, network services, queue jobs, queue strategy, strategies performance

Zakaria Suliman Zubi; Ismaeel H. Al-Dubar

2009-04-01T23:59:59.000Z

449

Distributed Scheduling Agents for Disaster Response Laura Barbulescu1  

E-Print Network (OSTI)

Distributed Scheduling Agents for Disaster Response Laura Barbulescu1 , Zachary B. Rubinstein1 response coordination problem. The target problem is a field exer- cise mockup of a natural disaster, where In this paper, we describe the application of a multi-agent framework for collaborative scheduling to a disaster

Wilkins, David E.

450

Optimal scheduling for constant-rate multi-mode systems  

Science Conference Proceedings (OSTI)

Constant-rate multi-mode systems are hybrid systems that can switch freely among a finite set of modes, and whose dynamics is specified by a finite number of real-valued variables with mode-dependent constant rates. The schedulability problem for such ... Keywords: cyber-physical systems, green scheduling, hybrid automata, peak minimization, switched systems

Rajeev Alur; Ashutosh Trivedi; Dominik Wojtczak

2012-04-01T23:59:59.000Z

451

Hybrid search algorithm to optimize scheduling problems for TCPN models  

Science Conference Proceedings (OSTI)

Scheduling of manufacturing or logistic processes takes high importance as a key factor to improve competitiveness in industrial systems. The state space analysis of Timed Coloured Petri Nets is an accepted simulation-optimization approach which suffers ... Keywords: decision support systems, discrete event systems, scheduling, state space, timed coloured Petri nets

Miguel Mujica; Miquel Angel Piera

2010-07-01T23:59:59.000Z

452

Iterative improvement to solve the parcel hub scheduling problem  

Science Conference Proceedings (OSTI)

This paper presents iterative improvement algorithms to solve the parcel hub scheduling problem (PHSP). The PHSP is combinatorial optimization problem that consists of scheduling a set of inbound trailers to a small number of unload docks. At the unload ... Keywords: Cross docks, Genetic algorithms, Local search, Parcel delivery industry, Simulated annealing

Douglas L. McWilliams

2010-08-01T23:59:59.000Z

453

Editorial: AI planning and scheduling in the medical hospital environment  

Science Conference Proceedings (OSTI)

Hospital management is a hard task due to the complexity of the organization, the costly infrastructure, the specialized services offered to different patients and the need for prompt reaction to emergencies. Artificial Intelligence planning and scheduling ... Keywords: Artificial Intelligence, Hospital management, Medical therapy, Planning, Scheduling

Constantine D Spyropoulos

2000-10-01T23:59:59.000Z

454

Feedback fuzzy-DVS scheduling of control tasks  

Science Conference Proceedings (OSTI)

To consider the energy-aware scheduling problem in computer-controlled systems is necessary to improve the control performance, to use the limited computing resource sufficiently, and to reduce the energy consumption to extend the lifetime of the whole ... Keywords: Control task, Dynamic voltage scaling, Feedback control, Fuzzy rule, Scheduling

Hong Jin; Danli Wang; Hongan Wang; Hui Wang

2007-08-01T23:59:59.000Z

455

Steal Tree: low-overhead tracing of work stealing schedulers  

Science Conference Proceedings (OSTI)

Work stealing is a popular approach to scheduling task-parallel programs. The flexibility inherent in work stealing when dealing with load imbalance results in seemingly irregular computation structures, complicating the study of its runtime behavior. ... Keywords: async-finish parallelism, tracing, work-stealing schedulers

Jonathan Lifflander; Sriram Krishnamoorthy; Laxmikant V. Kale

2013-06-01T23:59:59.000Z

456

Task scheduling algorithm using minimized duplications in homogeneous systems  

Science Conference Proceedings (OSTI)

For fine grain task graphs, duplication-based scheduling algorithms are generally more efficient than list and cluster-based algorithms. However, most duplication-based heuristics try to duplicate all possible ancestor nodes of a given join node, in ... Keywords: Distributed architectures, Load balancing and task assignment, Parallel processors, Scheduling and task partitioning

KwangSik Shin; MyongJin Cha; MunSuck Jang; JinHa Jung; WanOh Yoon; SangBang Choi

2008-08-01T23:59:59.000Z

457

A 0-1 goal programming model for nurse scheduling  

Science Conference Proceedings (OSTI)

In this study, a computerized nurse-scheduling model is developed. The model is approached through a 0-1 linear goal program. It is adapted to Riyadh Al-Kharj hospital Program (in Saudi Arabia) to improve the current manual-made schedules. The developed ...

M. N. Azaiez; S. S. Al Sharif

2005-03-01T23:59:59.000Z

458

Injection/withdrawal scheduling for natural gas storage facilities  

Science Conference Proceedings (OSTI)

Control decisions for gas storage facilities are made in the face of extreme uncertainty over future natural gas prices on world markets. We examine the problem faced by owners of storage contracts of how to manage the injection/withdrawal schedule of ... Keywords: natural gas storage, optimization, scheduling

Alan Holland

2007-03-01T23:59:59.000Z

459

TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH  

E-Print Network (OSTI)

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

Zhang, Junshan

460

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint  

E-Print Network (OSTI)

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical The employment of the renewable energy source has grown from long-established concepts into devices for powering--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel

Greenberg, Albert

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We encourage you to perform a real-time search of NLEBeta
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461

Distributed scheduling schemes for wireless mesh networks: A survey  

Science Conference Proceedings (OSTI)

An efficient scheduling scheme is a crucial part of Wireless Mesh Networks (WMNs)—an emerging communication infrastructure solution for autonomy, scalability, higher throughput, lower delay metrics, energy efficiency, and other service-level guarantees. ... Keywords: Wireless mesh networks, ad hoc networks, cyclic access, distributed scheduling schemes, pseudo-random access, random access

Kanthaiah Sivapragasam Vijayalayan, Aaron Harwood, Shanika Karunasekera

2013-10-01T23:59:59.000Z

462

Research and development of a unified approach to operations scheduling for electric power under uncertainty. Technical progress report, June 1979-June 1980  

DOE Green Energy (OSTI)

The objective of this study was to develop a unified approach for operations schedulng in electric power systems that explicitly takes into account sources of uncertainty present at all levels in this problem. This objective requires formulating the operations scheduling problem as a single, integrated problem, and developing solution methodologies that start from this integrated formulation and progress to subproblem solution methods that are consistent with it. Progress for the first year of the project is reported. Information is included on: problem definition; time-scale decomposition; stochastic optimization of both parallel and series reservoir systems; stochastic production simulation; maintenance scheduling and nuclear refueling; and short-term resource scheduling. (LCL)

Larson, R.E.

1980-06-01T23:59:59.000Z

463

DEPARTMENT OF ENERGY RESEARCH AND DEVELOPMENT RECORDS SCHEDULE  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

13 13 DEPARTMENT OF ENERGY RESEARCH AND DEVELOPMENT RECORDS SCHEDULE N1-434-96-9, N1-434-07-01, and N1-434-08-02 Revision 2 June 2008 Scope. This schedule encompasses research and development (R&D) records generated within the Department of Energy (DOE) complex, which consists of all DOE offices and its contractor organizations, such as the National Laboratories. It applies to all applicable records regardless of media or format, including paper, audio and visual, and electronic records. Excluded from this schedule are R&D records pertaining to (a) nuclear weapons, which are covered by DOE Nuclear Weapons Schedule (NI-434-96-5 and N1-434-98- 27), and (b) Work for Others, Cooperative Research and Development Agreements (CRADA), and cost sharing agreements, which are covered by DOE Schedule N1-434-

464

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule VA-2-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to contracts between the Government, Virginia Electric and Power Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download

465

DOE HQ Shuttle Bus Schedule and Route | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE HQ Shuttle Bus Schedule and Route DOE HQ Shuttle Bus Schedule and Route DOE HQ Shuttle Bus Schedule and Route The DOE Shuttle Buses follow the same schedules between the two main Headquarters locations, Forrestal and Germantown. The buses start their routes at each Headquarters facility at the same times, see the schedule below. The subsequent stops at the other facilities are relative to the departure time of each route. Headquarters employees are reminded of the statutory provisions that authorize and limit the use of the shuttle bus service. Specific authority for the use of appropriated funds to pay for transportation for official purposes is contained in section 1344(a)(1) of Title 31, U.S. Code. Use of this transportation for any other purpose is inappropriate and against the law.

466

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule AP-2-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download

467

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule SOCO-2-E Wholesale Power Rate Schedule Area: PowerSouth Off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate

468

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule SOCO-4-E Wholesale Power Rate Schedule Area: OPC System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida served through the transmission facilities of Southern Company Services, Inc. (hereinafter called the Company) or the Georgia Integrated Transmission System. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between

469

HSO SPOTLIGHT No 01 2012 HSO Meeting Schedule for 2012  

NLE Websites -- All DOE Office Websites (Extended Search)

HSO SPOTLIGHT No. 01-2012: 2012 Schedule of Quarterly HSO Meetings HSO SPOTLIGHT No. 01-2012: 2012 Schedule of Quarterly HSO Meetings What is the issue? Meeting and Training Schedule Why do we need this? Informational Who is impacted? HSOs What does the HSO need to do? This is an informational Spotlight only NOTICE: The information in all HSO Spotlights applies only at Department of Energy (DOE) Headquarters facilities in the Washington, DC area. They are not intended to apply at DOE field sites, which may have entirely different local procedures. The HSO Program Manager has established the schedule below for quarterly HSO meetings in 2012. Please note that the topics listed are subject to change. HSO Quarterly Meeting and Training Schedule 2011 10:00 to Noon each day FORS Date / Room

470

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule October 1, 2011 - 3:22pm Addthis 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 called the Customers). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Character of Service: The electric capacity and energy supplied hereunder will be three phase

471

EGov PMA Scorecard Cost, Schedule & Performance Standard...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

& Publications Program & Project Management For The Acquisition Of Capital Assets RPAM & Energy Order Requirements ex parte memo - McKinsey & Company; February 16, 2011...

472

SCHEDULE 2. PART C. GREEN PRICING  

U.S. Energy Information Administration (EIA)

... and outflows of electricity to sell any excess power it generates over its load requirement back to the electrical grid, ... often referred to as “smart ...

473

2 1998-99 Annual Schedule of Classes Bruin Direct now required for credit balance refunds  

E-Print Network (OSTI)

not include additional course or unit-based fees such as the Instructional Enhancement Initiative (IEI) Fee that must be submitted by the stated deadlines. For additional deadline informa- tion, see the Ashe Center of enrolled units. They do not include additional course or unit-based fees such as the IEI Fee or course

Grether, Gregory

474

Energy-efficient datapath scheduling using multiple voltages and dynamic clocking  

Science Conference Proceedings (OSTI)

Recently, dynamic frequency scaling has been explored at the CPU and system levels for power optimization. Low-power datapath scheduling using multiple supply voltages has been well researched. In this work, we develop new datapath scheduling algorithms ... Keywords: High-level synthesis, dynamic frequency clocking, low-power datapath synthesis, multiple voltage scheduling, resource-constrained scheduling, time-constrained scheduling

Saraju P. Mohanty; N. Ranganathan

2005-04-01T23:59:59.000Z

475

MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler  

Science Conference Proceedings (OSTI)

This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate's design emphasizes scheduler interoperability by providing intelligent scheduling serving the grid community as a whole. Each MaGate scheduler instance ... Keywords: Grid Scheduling, MaGate Simulator, Simulation, SmartGRID

Ye Huang; Amos Brocco; Michele Courant; Beat Hirsbrunner; Pierre Kuonen

2009-08-01T23:59:59.000Z

476

Stability and Performance of List Scheduling With ExternalProcess Delays  

Science Conference Proceedings (OSTI)

Non-preemptive static priority list scheduling is a simple, low-overhead approach to scheduling precedence-constrained tasks in real-time multiprocessor systems. However, it is vulnerable to anomalous timing behavior caused by variations in task durations. Specifically, ... Keywords: general instability conditions, multiprocessor anomalies, non-preemptive scheduling, phantom tasks, priority list scheduling, scheduling stability

J. S. Deogun; R. M. Kieckhafer; A. W. Krings

1998-07-01T23:59:59.000Z

477

NV Energy Large-Scale Photovoltaic Integration Study: Intra-Hour Dispatch and AGC Simulation  

SciTech Connect

The uncertainty and variability with photovoltaic (PV) generation make it very challenging to balance power system generation and load, especially under high penetration cases. Higher reserve requirements and more cycling of conventional generators are generally anticipated for large-scale PV integration. However, whether the existing generation fleet is flexible enough to handle the variations and how well the system can maintain its control performance are difficult to predict. The goal of this project is to develop a software program that can perform intra-hour dispatch and automatic generation control (AGC) simulation, by which the balancing operations of a system can be simulated to answer the questions posed above. The simulator, named Electric System Intra-Hour Operation Simulator (ESIOS), uses the NV Energy southern system as a study case, and models the system’s generator configurations, AGC functions, and operator actions to balance system generation and load. Actual dispatch of AGC generators and control performance under various PV penetration levels can be predicted by running ESIOS. With data about the load, generation, and generator characteristics, ESIOS can perform similar simulations and assess variable generation integration impacts for other systems as well. This report describes the design of the simulator and presents the study results showing the PV impacts on NV Energy real-time operations.

Lu, Shuai; Etingov, Pavel V.; Meng, Da; Guo, Xinxin; Jin, Chunlian; Samaan, Nader A.

2013-01-02T23:59:59.000Z

478

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

479

400A Construction Schedule | Advanced Photon Source  

NLE Websites -- All DOE Office Websites (Extended Search)

27-ID and 35-ID 27-ID and 35-ID Past 27-ID and 35-ID Long Range Schedule (pdf) 27-ID and 35-ID Past Construction Past 27-ID and 35-ID Construction Day Activity Impact Week of 06.11.13 35-ID-D panels arrive, 35-ID-C panel installation complete. Start installation of 35-ID-D. -/- Week of 06.13.13 DCS/RIXS Construction Progress Meeting, LOM 438-C010, 9AM -/- Week of 06.18.13 27-ID-A panels arrive -/- Week of 06.25.13 first shipment of 35-ID-E panels arrives -/- Week of 06.03.13 continue installation of 35-ID-C panels, doors, roof and floor trim Low Week of 05.20.13 35-ID-C panels arrive begin installation of 35-ID-C wall and roof panels Low Week of 05.13.13 completion of 35-ID-B roof panels, installation of lead trim, steel capping and door installation. Low Tuesday - 03.05.13

480

FINAL SCHEDULE FOR CHIEF OF STAFF  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Wednesday, July 11, 2001 Wednesday, July 11, 2001 10:00 AM PROGRAM DIRECTOR'S MEETING 10:30 AM Secretary's Conference Room Lead & Attending Staff: McSlarrow Attending Staff: McMonigle and Dandy Attendees: ESA2; ESA3 10:30 AM MEETING W/CHUCK DOMINY (HALLIBURTON 11:00 AM COMPANY) McSlarrow's Office Jim Andrews 11:45 AM DEPART EN ROUTE TO PLAZA 12:00 PM LUNCH MEETING 1:30 PM American Grill - Loew's Plaza 1:30 PM DEPART EN ROUTE TO DOE 2:00 PM ELECTRICITY ADVISORY BOARD 2:30 PM TBD 4:30 PM (T) MEETING W/GREG RENKES 5:00 PM McSlarrow's Office Page 13 (3/22/2002. 4:54 PM) Internal Distribution 26076 FINAL SCHEDULE FOR CHIEF OF STAFF Thursday, July 12, 2001 8:45 AM MEETING W/JEFF LAWRENCE & MICHAEL CROWE 9:00 AM (PROVOST/UNIV. OF COLUMBIA) McSlarrow's Office 10:00 AM DEFENSE MEETING 10:30 AM Secretary's Office

Note: This page contains sample records for the topic "requiring hourly scheduling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Dynamic Scheduling of Skippable Periodic Tasks with Energy Efficiency in Weakly Hard Real-Time System  

E-Print Network (OSTI)

Energy consumption is a critical design issue in real-time systems, especially in battery- operated systems. Maintaining high performance, while extending the battery life between charges is an interesting challenge for system designers. Dynamic Voltage Scaling (DVS) allows a processor to dynamically change speed and voltage at run time, thereby saving energy by spreading run cycles into idle time. Knowing when to use full power and when not, requires the cooperation of the operating system scheduler. Usually, higher processor voltage and frequency leads to higher system throughput while energy reduction can be obtained using lower voltage and frequency. Instead of lowering processor voltage and frequency as much as possible, energy efficient real-time scheduling adjusts voltage and frequency according to some optimization criteria, such as low energy consumption or high throughput, while it meets the timing constraints of the real-time tasks. As the quantity and functional complexity of battery powered porta...

Baskaran, Santhi

2010-01-01T23:59:59.000Z

482

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

E-Print Network (OSTI)

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...

Koutsopoulos, Iordanis

2010-01-01T23:59:59.000Z

483

Optimal Cluster Mill Pass Scheduling With an Accurate and Rapid New Strip Crown Model  

Science Conference Proceedings (OSTI)

Besides the requirement to roll coiled sheet at high levels of productivity, the optimal pass scheduling of cluster-type reversing cold mills presents the added challenge of assigning mill parameters that facilitate the best possible strip flatness. The pressures of intense global competition, and the requirements for increasingly thinner, higher quality specialty sheet products that are more difficult to roll, continue to force metal producers to commission innovative flatness-control technologies. This means that during the on-line computerized set-up of rolling mills, the mathematical model should not only determine the minimum total number of passes and maximum rolling speed, it should simultaneously optimize the pass-schedule so that desired flatness is assured, either by manual or automated means. In many cases today, however, on-line prediction of strip crown and corresponding flatness for the complex cluster-type rolling mills is typically addressed either by trial and error, by approximate deflection models for equivalent vertical roll-stacks, or by non-physical pattern recognition style models. The abundance of the aforementioned methods is largely due to the complexity of cluster-type mill configurations and the lack of deflection models with sufficient accuracy and speed for on-line use. Without adequate assignment of the pass-schedule set-up parameters, it may be difficult or impossible to achieve the required strip flatness. In this paper, we demonstrate optimization of cluster mill pass-schedules using a new accurate and rapid strip crown model. This pass-schedule optimization includes computations of the predicted strip thickness profile to validate mathematical constraints. In contrast to many of the existing methods for on-line prediction of strip crown and flatness on cluster mills, the demonstrated method requires minimal prior tuning and no extensive training with collected mill data. To rapidly and accurately solve the multi-contact problem and predict the strip crown, a new customized semi-analytical modeling technique that couples the Finite Element Method (FEM) with classical solid mechanics was developed to model the deflection of the rolls and strip while under load. The technique employed offers several important advantages over traditional methods to calculate strip crown, including continuity of elastic foundations, non-iterative solution when using predetermined foundation moduli, continuous third-order displacement fields, simple stress-field determination, and a comparatively faster solution time.

Malik, Arif S.; Grandhi, Ramana V. [Dept. of Mechanical Engineering, Wright State University, 3640 Col. Glenn Hwy., Dayton, OH 45435 (United States); Zipf, Mark E. [Intergrated Industrial Systems, Inc., 475 Main St., Yalesville, CT 06492 (United States)

2007-05-17T23:59:59.000Z

484

Prioritizing and scheduling Portsmouth Gaseous Diffusion Plant safeguards upgrades. Final report  

Science Conference Proceedings (OSTI)

As part of the Site Safeguards and Security Plan (SSSP), facilities are required to develop a Resource Plan (RP). The Resource Plan provides documentation and justification for the facility`s planned upgrades, including the schedule, priority, and cost estimates for the safeguards and security upgrades. Portsmouth Gaseous Diffusion Plant (PORTS) management has identified and obtained funding approval for a number of safeguards and security upgrades, including line-item construction projects. These upgrade projects were selected to address a variety of concerns identified in the PORTS vulnerability assessments and other reviews performed in support of the SSSP process. However, budgeting and scheduling constraints do not make it possible to simultaneously begin implementation of all of the upgrade projects. A formal methodology and analysis are needed to explicitly address the trade-offs between competing safeguards objectives, and to prioritize and schedule the upgrade projects to ensure that the maximum benefit can be realized in the shortest possible time frame. The purpose of this report is to describe the methodology developed to support these upgrade project scheduling decisions. The report also presents the results obtained from applying the methodology to a set of the upgrade projects selected by PORTS S&S management. Data for the analysis are based on discussions with personnel familiar with the PORTS safeguards and security needs, the requirements for implementing these upgrades, and upgrade funding limitations. The analysis results presented here assume continued highly enriched uranium (HEU) operations at PORTS. However, the methodology developed is readily adaptable for the evaluation of other operational scenarios and other resource allocation issues relevant to PORTS.

Edmunds, T.; Saleh, R.; Zevanove, S.

1992-02-01T23:59:59.000Z

485

Physics Fest Schedule and Current Availability  

NLE Websites -- All DOE Office Websites (Extended Search)

Physics Fest Physics Fest In order to accommodate as many classes as possible, at least one day each month during the school year is set aside for groups of students to attend a presentation in Jefferson Lab's auditorium, located in CEBAF Center [Download a Map] [Locate Jefferson Lab on Google Maps] [Display a QR Code for Scanning]. This two-hour presentation (10:00 - 12:00) includes a brief interactive summary of the science and technology at Jefferson Lab followed by the Deep Freeze (cryogenics) and Hot Stuff (plasmas) presentations. Seating is limited. If your class is attending a Physics Fest presentation, you may wish to download a Physics Fest Classroom Activity Pack. This file contains general information about Jefferson Lab and atoms, a vocabulary list with related

486

Maximising the net present value for resource-constrained project scheduling  

Science Conference Proceedings (OSTI)

The Resource-constrained Project Scheduling Problem (Rcpsp), in which a schedule must obey the resource constraints and the precedence constraints between pairs of activities, is one of the most studied scheduling problems. An important variation of ...

Andreas Schutt; Geoffrey Chu; Peter J. Stuckey; Mark G. Wallace

2012-05-01T23:59:59.000Z

487

ARRT Courses & Schedule | Y-12 National Security Complex  

NLE Websites -- All DOE Office Websites (Extended Search)

ARRT Courses & Schedule ARRT Courses & Schedule ARRT Courses & Schedule Advanced Radiological Response Techniques (ARRT) Courses The ARRT series, developed by the Defense Nuclear Weapons School, was designed specifically for the National Guard Bureau's Weapons of Mass Destruction's Civil Support Teams. The course, however, is open to other agencies that may have radiological response missions. Scenario-driven exercises cover everything from radiation fundamentals and material detection to handling and safely containing nuclear materials. The ARRT series can be used as either initial training or a refresher for attendees. Topics include the following: Consequence Management Contaminated Casualty Extraction Contamination Control Decontamination Hotline Operations Material Packaging

488

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

489

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

NLE Websites -- All DOE Office Websites (Extended Search)

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

490

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

491

EXPERIMENTS, CONCEPTUAL DESIGN, PRELIMINARY COST ESTIMATES AND SCHEDULES FOR AN UNDERGROUND RESEARCH FACILITY  

E-Print Network (OSTI)

Design, Preliminary Cost Estimates and Schedules roroundDESIGN, PRELIMINARY COST ESTIMATES AND SCHEDULES FOR ANSchedule and Cost Estimates Excavation Damage/Sealing

Korbin, G.

2010-01-01T23:59:59.000Z

492

QAMF-002_ACourse Registry/Review Schedule Intitial Release D  

NLE Websites -- All DOE Office Websites (Extended Search)

2_ACourse Registry/Review Schedule 2_ACourse Registry/Review Schedule Intitial Release D E A B C Revision History: Rev. Description of Change [N/A Referenced Documents: Parent Document: QAMF-002 Rev. A Approvers: Melissa Otero Document Owner: Elizabeth Sousa Backup Owner: Notify of Changes: EOTA - Business Form Document Title: QAMP-002 Project/Course Maintenance Process Document Number: Course Registry/Review Schedule EOTA Employees Melissa Otero QAMF-002_ACourse Registry/Review Schedule CIP100D Introduction to Analytical Risk Management CIP101DW DOE/NNSA Asset Overview (formerly RAP-165DW) CIP110DW Vehicle Bomb Search Methods CIP300DC Weapons of Mass Destruction (WMD): Training CIP400DC Weapons of Mass Destruction (WMD): Training Exercises CMP101DW Operations Overview of Consequence Management CMP104DW Health and Safety Orientation

493

Assessing tram schedules using a library of simulation components  

Science Conference Proceedings (OSTI)

Assessing tram schedules is important to assure an efficient use of infrastructure and for the provision of a good quality service. Most existing infrastructure modeling tools provide support to assess an individual aspect of rail systems in isolation, ...

Elisangela Mieko Kanacilo; Alexander Verbraeck

2007-12-01T23:59:59.000Z

494

Definition: Ramp Rate(Schedule) | Open Energy Information  

Open Energy Info (EERE)

interchange schedule References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

495

An Automatic Scheduler for Parallel Machines (Research Note)  

Science Conference Proceedings (OSTI)

This paper presents a static scheduler to carry out the best assignment of a Directed Acyclic Graph (DAG) representing an application program. Some characteristics of the DAG, a decision model, and the evaluation parameters for choosing the best solution ...

Mauricio Solar; Mario Inostroza

2002-08-01T23:59:59.000Z

496

Stream combination: Adaptive IO scheduling for streaming servers  

E-Print Network (OSTI)

Cycle-based IO schedulers use statically configured timecycle durations. As a result, they are unable to avoid the formation of virtual bottlenecks. We term a bottleneck as virtual when it occurs within a single resource subsystem, and it is possible to use a secondary under-utilized resource to thwart the bottleneck. The primary reason for virtual bottlenecks in streaming servers is static allocation of memory and disk-bandwidth resources using fixed time-cycle durations. As a result, shifting request workload can cause a virtual bottleneck either in the memory or disk subsystem. We present stream combination, an adaptive IO scheduling technique that addresses this problem in a comprehensive fashion. Stream combination predicts the formation of virtual bottlenecks and proactively alters the IO schedule to avoid them. A simulation study suggests significant performance gains compared to the current state-of-the-art fixed time-cycle IO scheduler. 1

Bin Liu; Raju Rangaswami

2006-01-01T23:59:59.000Z

497

Scheduling blocks of hierarchical compiled simulation of combinational circuits  

Science Conference Proceedings (OSTI)

Several algorithms for scheduling high-level functional blocks that assume the blocks may not be physically divided and that pseudocycles may be present due to the grouping of elements within blocks are presented. These algorithms rely on dependency ...

P. M. Maurer

2006-11-01T23:59:59.000Z

498

DOE Announces Yucca Mountain License Application Schedule | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Yucca Mountain License Application Schedule Yucca Mountain License Application Schedule DOE Announces Yucca Mountain License Application Schedule July 19, 2006 - 3:13pm Addthis New Director Ward Sproat Testifies on Revised Timeline WASHINGTON, DC - The Department of Energy (DOE) today announced that it will submit a license application to the Nuclear Regulatory Commission (NRC) for a nuclear waste repository at Yucca Mountain, Nevada, no later than June 30, 2008. The Department also announced that if requested legislative changes are enacted, the repository will be able to accept spent nuclear fuel and high-level waste starting in early 2017. Announcing a schedule for submitting a license application is another step in the Department's mission to provide stability, clarity and predictability in moving the Yucca Mountain Project forward as quickly as

499

Potomac River Project Outage Schedule Clarification | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

River Project Outage Schedule Clarification River Project Outage Schedule Clarification Potomac River Project Outage Schedule Clarification Docket No. EO-05-01. Order No. 202-07-02: Based on the most current information we have for both circuits, the new outage dates are listed below: Outage Duration Feeder Out April 30, 2007 - June 1, 2007 Circuit 1 June 2, 2007 - July 1, 2007 Circuit 2 Potomac River Project Outage Schedule Clarification More Documents & Publications Re: Potomac River Generating Station Department of Energy, Case No. EO-05-01: Potomac Electric Power Company (PEPCO) evised plan for transmission outages for the 230 kV circuits PEPCO Comments on Special Environmental Analysis For Actions Taken Under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating Station in Alexandria, Virginia

500

Potomac River Project Outage Schedule Clarification | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Potomac River Project Outage Schedule Clarification Potomac River Project Outage Schedule Clarification Potomac River Project Outage Schedule Clarification Docket No. EO-05-01. Order No. 202-07-02: Based on the most current information we have for both circuits, the new outage dates are listed below: Outage Duration Feeder Out April 30, 2007 - June 1, 2007 Circuit 1 June 2, 2007 - July 1, 2007 Circuit 2 Potomac River Project Outage Schedule Clarification More Documents & Publications Re: Potomac River Generating Station Department of Energy, Case No. EO-05-01: Potomac Electric Power Company (PEPCO) evised plan for transmission outages for the 230 kV circuits Notification of Planned 230kV Outage at Potomac River Generating Station PEPCO Comments on Special Environmental Analysis For Actions Taken Under U.S. Department of Energy Emergency Orders Regarding Operation of the