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Note: This page contains sample records for the topic "industrial rate schedule" 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

Rate Schedules  

Broader source: Energy.gov [DOE]

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

2

Rate schedule  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3PACI-T3Rate

3

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2006-11-01T23:59:59.000Z

4

2012 Transmission Rate Schedules  

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

Practice. Ancillary Services include: a. Scheduling, System Control, and Dispatch b. Reactive Supply and Voltage Control from Generation Sources c. Regulation and Frequency...

5

Transportation resource scheduling in food retail industry  

E-Print Network [OSTI]

The objective of this thesis is to find an appropriate analytical method for scheduling the daily driver tasks in the grocery industry. The goal is to maximize driver utilization. A "Bin-packing" approach is employed to ...

Akkas, Arzum, 1978-

2004-01-01T23:59:59.000Z

6

CM-1-H Wholesale Power Rate Schedule  

Broader source: Energy.gov [DOE]

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

7

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

E-Print Network [OSTI]

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

Nagi, Rakesh

8

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

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

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

9

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

E-Print Network [OSTI]

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

Nagi, Rakesh

10

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

11

Scope for industrial applications of production scheduling models and  

E-Print Network [OSTI]

Computers and Chemical Engineering 62 (2014) 161­ 193 © ABB Group March 18, 2014 | Slide 2 #12 learned and success stories on real industrial scheduling implementations General guidelines and examples and scheduling © ABB Group March 18, 2014 | Slide 5 #12;Where is scheduling "located" Traditional system

Grossmann, Ignacio E.

12

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

E-Print Network [OSTI]

1 University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Course Introduction Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;2 University at Buffalo (SUNY) Department of Industrial Engineering About the course This graduate level course covers

Nagi, Rakesh

13

Optimal Scheduling of Industrial Combined Heat and Power Plants  

E-Print Network [OSTI]

Optimal Scheduling of Industrial Combined Heat and Power Plants under Time-sensitive Electricity Prices Sumit Mitra , Lige Sun , Ignacio E. Grossmann December 24, 2012 Abstract Combined heat and power companies. However, under-utilization can be a chance for tighter interaction with the power grid, which

Grossmann, Ignacio E.

14

Figure 3. Production Schedules at Two Development Rates  

Gasoline and Diesel Fuel Update (EIA)

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

15

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

Gasoline and Diesel Fuel Update (EIA)

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

16

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

Gasoline and Diesel Fuel Update (EIA)

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

17

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

E-Print Network [OSTI]

Planning Meeting (IPPM) for a standard detailed engineering project in the process industry will be used to develop scheduling logic for use in developing detail engineering project schedules. However, because the IPPM does not clearly distinguish...

Miller-Karns, Kara A.

2009-05-15T23:59:59.000Z

18

Wholesale Power Rate Schedules | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched FerromagnetismWaste and MaterialsWenjun DengWISP SignInWho do I contact atRate

19

NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS  

E-Print Network [OSTI]

NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS Hulya Seferoglu , Athina demonstrate that there is benefit from making rate control and scheduling aware of the underlying network conflicts between nodes, which should be taken into account both in rate control and in scheduling. We

Markopoulou, Athina

20

Performance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest-Deadline-First Scheduling in  

E-Print Network [OSTI]

-Deadline First Scheduling, Deterministic Delay Bounds, Call Admission Control, Multi-Service Networks. Abstract- Controlled Earliest-Deadline-First (RC-EDF) scheduling discipline. EDF is known to be an optimal schedulingPerformance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest

Elsayed, Khaled Fouad

Note: This page contains sample records for the topic "industrial rate schedule" 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

Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System Outages

22

Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System

23

Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31 August

24

Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted for USMaterialstheterahertzon Home WaterScanningSchedule

25

A study of enhancements to rate monotone scheduling  

E-Print Network [OSTI]

+ 30 milliseconds, and the computation can start any time between x and x + 30 - 10 milliseconds, in order to meet the deadline. A real-time system is made up of a number of tasks, each having their own timing, precedence and resource constraints. A... of that of all other tasks in the system. However, this is usually not realizable in practice. In order to offer insight into the conditions under which the rate monotone algorithm can exceed its worst case utilization bound, Lehoczky, Sha and Ding [29...

Menon, Radhika Kozhikodakatha Veetil

1991-01-01T23:59:59.000Z

26

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdfEnergy HealthComments MEMA: Comments Memo from OctoberMISS-1-N Wholesale Power Rate

27

Exploiting Schedule Slacks for RateOptimal PowerMinimum Software Pipelining #  

E-Print Network [OSTI]

­engineered compiler on Wattch power simulator, we observe that our approach can reduce dynamic energy consumptionExploiting Schedule Slacks for Rate­Optimal Power­Minimum Software Pipelining # Hongbo Yang + R systems de­ mand new compiler techniques geared toward both high performance and low power. Software

Gao, Guang R.

28

This work addresses the high-rate session scheduling problem in Fractional Lambda Switching (FS)  

E-Print Network [OSTI]

Multiplexing (such as SONET/SDH) and Wavelength Division Multiplexing (WDM). Yet, Non-Immediate Forwarding (NIF-rate NIF session. An efficient scheduling algorithm, eSSM, is proposed to explore all possibilities in two modes: (1) immediate forwarding (IF) or (2) non-immediate forwarding (NIF). NIF is more

Baldi, Mario

29

SPARTA: Scheduled Power and Rate Adaptation Ramana Rao Kompella and Alex C. Snoeren  

E-Print Network [OSTI]

adaptive lazy scheduling (transmitting packets as slow as possible) to conserve energy while preserving & Balakrishnan] and SPARTA with varying look-ahead buffers. We assume the following IEEE-standard minimum SNR (in.995.981.59-2.92SNR 11Mb5.5Mb2Mb1MbRate Two simultaneous 802.11a FTP transfers assuming IEEE- standard minimum SNR

Kompella, Ramana Rao

30

Prioritized schedule for review of industrial safety and occupational health programs  

SciTech Connect (OSTI)

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

NONE

1996-12-01T23:59:59.000Z

31

Implementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers  

E-Print Network [OSTI]

present in traditional non- real time process schedulers. Lottery scheduling enables flexible control over this while maintaining lottery scheduling's flexible control over relative execution rates and loadImplementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers David

32

The Effect of Uncertainty on Pollution Abatement Investments: Measuring Hurdle Rates for Swedish Industry  

E-Print Network [OSTI]

The Effect of Uncertainty on Pollution Abatement Investments: Measuring Hurdle Rates for Swedish Industry Abstract: We estimate hurdle rates for firms' investments in pollution abatement technology, using, oil price uncertainty, abatement investment, sulfur emissions, pulp and paper industry, energy

Paris-Sud XI, Université de

33

NFC Industrial Access and Equipment Rates valid 7/1/13 to 6/30/14 RATES SUBJECT TO CHANGE  

E-Print Network [OSTI]

NFC Industrial Access and Equipment Rates valid 7/1/13 to 6/30/14 RATES SUBJECT TO CHANGE ACCESS/USE UNITS RATE ACCESS FEE monthly fee $91.00 LAB USAGE FEE per lab session $67.50 LAB USAGE MAX PER MONTH per month $631.00 EQUIPMENT INCLUDED EQUIPMENT UNITS RATE ALDATOMIC LAYER DEP ALD Savannah 200 minute

Amin, S. Massoud

34

Impact of Industrial Electric Rate Structure on Energy Conservation - A Utility Viewpiont  

E-Print Network [OSTI]

As the price of energy rises, changes in industrial electric rates will have an impact on energy usage and conservation. Utilities interested in reducing system peak demands may reflect this need in the rate structure as an incentive...

Williams, M. M.

1981-01-01T23:59:59.000Z

35

Rate Selection Analysis under Semi-Persistent Scheduling in LTE Networks  

E-Print Network [OSTI]

, orthogonal frequency division multiplexing (OFDM) transmission scheme, multiple input multiple output (MIMO) transmission capabilities, a frequency reuse of one as well as advanced coding schemes (among many other station controls and schedules all data transmissions of all terminals in its asso- ciation set, the base

Gross, James

36

Strategic Rate Design: The Role of Industrial Tariffs  

E-Print Network [OSTI]

utilities have as a primary objective the goal of setting rates that fully reflect costs. Even within this constraint, alternative pricing mechanisms are available to allow the utility to engage in strategic rate design. For example, time-of-use rates... to the same MW made up of several smaller-sized units, the larger-sized contracts are charged at a higher rate. The rate for the energy charge depends on time of use and a liberal tilt of the capacity costs into the energy charge provides the customer a...

Rosenblum, J. I.; House, R.

37

Cost Bases for Incentive Rates Applicable to Industrial Loads  

E-Print Network [OSTI]

great deal of attention and increased acceptance. This represents a substantial change in attitude, particularly on the part of the regulatory commissions; a few years ago any proposal related to an incentive type rate would not have been... in rate discrimination as between customer classes. Over the last few years many utilities have experienced changes that have resulted in increased interest in incentive rates by the utility, by its customer, and by the regulatory commission. In most...

Stover, C. N.

38

Deregulation in Japanese gas industries : significance and problems of gas rate deregulation for large industrial customers  

E-Print Network [OSTI]

In recent years, the circumstances surrounding Japanese City gas industries have been changing drastically. On one hand, as energy suppliers, natural gas which has become major fuel resource for city gas, as public utilities, ...

Inoue, Masayuki

1994-01-01T23:59:59.000Z

39

Implementing Lottery Scheduling: Matching the Specializations Traditional Schedulers  

E-Print Network [OSTI]

in traditional non­ real time process schedulers. Lottery scheduling enables flexible control over relative. We achieve this while maintaining lottery scheduling's flexible control over relative execution rates a recently troduced proportional­share scheduler that enables flexible control over relative rates which CPU

40

Evaluating the DSM Potential for Industrial Electrotechnologies and Management Practices  

E-Print Network [OSTI]

-peak periods and the non-electric drive is used during peak periods. 3. Schedule planned maintenance turnarounds to coincide with periods of maximum grid load. 4. Industrial cold storage. 5. Modulate plant production rates so that the maximum rate... is used during off-peak periods and the non-electric drive is used during peak periods. Schedule planned maintenance turnarounds to coincide with periods of maximum grid load. Industrial cold storage. Modulate plant production rates so that the maximum...

Harrell, P. J.; Pavone, A.

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power Rate

42

Cost of Service and Rate Design Issues Affecting Industrial Customers in Retail Rate Proceedings  

E-Print Network [OSTI]

alternative is not selected, or when the selected capacity expansion plan results in excess generation. A reduction in invested capital will reduce the system revenue requirements. The rate of return is equal to the sum of the weighted cost of debt plus... the position that the cost of all or part of an imprudent management decision should be borne by the stockholder. Prudency issues are usually raised when the cost of new generation units are excessive, when the most economic generation expansion...

Stover, C. N. Jr.

43

2012 Transmission Rate Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H. I. Park, L.2State of Matter2012 Secretary

44

FRN & Rate Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES Committees of9,of Energy8 CH2MNews from

45

FRN and Rate Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES Committees of9,of Energy8 CH2MNews

46

Rate Schedule CPP-2  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF ANCPP-2

47

Industry  

E-Print Network [OSTI]

SHIP - Solar heat for industrial processes. Internationalsolar power could be used to provide process heat for

Bernstein, Lenny

2008-01-01T23:59:59.000Z

48

The Schedule  

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

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

1997-03-28T23:59:59.000Z

49

Industry  

E-Print Network [OSTI]

of its electricity requirements in the USA (US DOE, 2002)USA, where motor-driven systems account for 63% of industrial electricity

Bernstein, Lenny

2008-01-01T23:59:59.000Z

50

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

51

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

52

On dynamic scheduling of a parallel server system with certain graph structure  

E-Print Network [OSTI]

Primitives 2.3 Scheduling Control . Chapter 3 Sequence ofto be mutually independent. Scheduling Control The system isand service rates and scheduling control are allowed to vary

Pesic, Vladimir N.

2011-01-01T23:59:59.000Z

53

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

E-Print Network [OSTI]

Flow scheduling and endpoint rate control in gridnetworks.granularity and ?ner control in scheduling with a cost ofMukherjee. Control plane for advance bandwidth scheduling in

Balman, Mehmet

2012-01-01T23:59:59.000Z

54

Industry  

SciTech Connect (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

55

Fair rate assignment in interference limited multi-hop networks  

E-Print Network [OSTI]

Optimal Link Scheduling and Power Control in CDMA MultihopB. Shro?. , Joint rate control and scheduling in multihopthe joint rate control and scheduling problem, and [26

Arisoylu, Mustafa

2006-01-01T23:59:59.000Z

56

Pushing schedule derivation method  

SciTech Connect (OSTI)

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

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

1996-12-31T23:59:59.000Z

57

'Tilted' Industrial Electric Rates: A New Negative Variable for Energy Engineers  

E-Print Network [OSTI]

The cost of purchased electricity for industry is rising even faster than for other sectors. Conventional means of reducing power costs include internal techniques like load management, demand controls and energy conservation. External mechanisms...

Greenwood, R. W.

1981-01-01T23:59:59.000Z

58

ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE...  

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

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES This...

59

Impact of Industrial Electric Rate Structure on Load Management - A Utility Viewpoint  

E-Print Network [OSTI]

A few years ago our response to an inquiry regarding availability of electric service for a large industrial load was something like: 'Let us put this into our production model to determine whether we will have adequate generating capacity to commit...

Richardson, J. A.

1984-01-01T23:59:59.000Z

60

Rate Schedules | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen OwnedofDepartmentEnergyFrequency | Department of EnergyRajesh DhamOne of

Note: This page contains sample records for the topic "industrial rate schedule" 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

Building Profits and Goodwill in the Wood Product Industry with Time-Of-Use Rates  

E-Print Network [OSTI]

and maintains four separate points of delivery (POD) at the plywood plant as described below: POINT OF PEAK CUSTOMER DELIVERY EQUIPMENT --!L POD 11 945 sander & fluid flame (a wood boiler) POD #2 1885 four foot lathe, eight foot lathe & poly... incorporates the same type application of the TaU rate. With the exception of the four-foot lathe, all equipment served from POD #2 operated 24 hours per day 6 days per week. The four-foot lathe operated 7 a.m. - 3 p.m. The load associated with the lathe...

Boyd, W. K.

62

Effective Rate Period  

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

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

63

Using Ex Post Data to Estimate the Hurdle Rate of Abatement Investments -An Application to the Swedish Pulp and Paper Industry  

E-Print Network [OSTI]

Using Ex Post Data to Estimate the Hurdle Rate of Abatement Investments - An Application to Estimate the Hurdle Rate of Abatement Investments - An Application to the Swedish Pulp and Paper Industry in pollution abatement technology, using ex post data. The method is based on a structural option value model

Paris-Sud XI, Université de

64

Integrated production and maintenance scheduling  

E-Print Network [OSTI]

. 60 Levels of Processing Times and Rate Modifiers . . . 60 Experiment I: Comparing g C, with Methods ERI, ER2, ER3 with PC 62 Experiment I: Comparing Total CPU Time. Experiment I: Comparing Number of Schedules Explored . . . 64 65 Experiment I...: Comparing Schedule Number of Best Solution Found. . . . Experiment 2: Comparing g C, by PC Versus GLB . . . . . . . . . . . . . . . . . . . . . . . . . . 67 69 10 Experiment 2: Comparing gC, with Methods ERI, ER2, ER3, Gl, G2 with PC...

Whitaker, Laura Oakes

1996-01-01T23:59:59.000Z

65

RATES  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, and 323 K.Office ofMay 8, 2012IndustrialRAPIDDRATES

66

Optimizing with constraints: a case study in scheduling maintenance of electric power units  

E-Print Network [OSTI]

industry is that of optimally schedul­ ing preventative maintenance of power generating units within of the electric power industry: optimally scheduling preventative maintenance of power generating units within or two dozen power generating units which can be individually scheduled for preventive maintenance. Both

Dechter, Rina

67

Effective Rate Period  

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

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

68

Multichannel Scheduling and Its Connection to Queueing Network Control Problem  

E-Print Network [OSTI]

Multichannel Scheduling and Its Connection to Queueing Network Control Problem Pouya Tehrani , Qing scheduling problem and a closed queueing network control problem which is known to be EXP-complete, we obtain {potehrani,qzhao}@ucdavis.edu Abstract--We consider the multichannel scheduling problem where the data rate

Islam, M. Saif

69

Scheduling and Feedback Co-Design for Networked Control Systems  

E-Print Network [OSTI]

Scheduling and Feedback Co-Design for Networked Control Systems Michael S. Branicky,1 Stephen M mes- sages are transmitted). In the past, control system design and CPU scheduling or network scheduling design have normally been sepa- rated. This separation has allowed the control commu- nity

Branicky, Michael S.

70

March 29, 2008 OS:CPU Scheduling 1 CPU Scheduling  

E-Print Network [OSTI]

control of the CPU to the process selected by the short-term scheduler. Its function involves: SwitchingMarch 29, 2008 OS:CPU Scheduling 1 CPU Scheduling #12;March 29, 2008 OS:CPU Scheduling 2 Objectives Basic Concepts + Scheduling Criteria + Scheduling Algorithms + Scheduling Algorithm Evaluation + Summary

Adam, Salah

71

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

E-Print Network [OSTI]

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

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

2002-01-01T23:59:59.000Z

72

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

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

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

73

Industry Alliance Industry Alliance  

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

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

74

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

75

Reviewing your schedule in Banner  

E-Print Network [OSTI]

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

skorty

2008-07-28T23:59:59.000Z

76

Measuring the Social Rate of Return to R&D in the Energy Industry: A Study of the OECD Countries  

E-Print Network [OSTI]

, funding after earmarks for bioenergy R&D by the Department of Energy has declined yearly for the last the optimal rate is the appropriability effect: in the absence of perfect price discrimination, the private

Lin, C.-Y. Cynthia

77

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS...  

Office of Environmental Management (EM)

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS This schedule covers accountable...

78

Symmetry in Scheduling Problems  

E-Print Network [OSTI]

Nov 16, 2010 ... Using operating room and power generator scheduling problems ... Symmetry has been an obstacle in mixed integer linear programming...

2010-11-16T23:59:59.000Z

79

Wholesale Power Rate Schedules | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment of Energy WhileTanklessLES'NeighborhoodThisApril2014 DOEOctober 1,

80

2014-2015 Power Rate Schedules  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.Carbon StorageInstitute44 YWCof444 High4

Note: This page contains sample records for the topic "industrial rate schedule" 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

Rate Schedule COTP-T3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF AN

82

Rate Schedule CV-EID4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF ANCPP-2EID4

83

Rate Schedule CV-F13  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OF

84

Rate Schedule CV-NWT5  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5

85

Rate Schedule CV-RFS4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5RFS4

86

Rate Schedule CV-SPR4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE OFNWT5RFS4SPR4

87

Rate Schedule CV-SUR4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCE

88

Rate Schedule CV-TPT7  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3

89

Rate Schedule PACI-T3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3PACI-T3

90

Wholesale Power Rate Schedules | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Dept.| WEATHERIZATION5 | EnergyMay 7,Who WillDepartment

91

Estimates of future regional heavy oil production at three production rates--background information for assessing effects in the US refining industry  

SciTech Connect (OSTI)

This report is one of a series of publications from a project considering the feasibility of increasing domestic heavy oil (10{degree} to 20{degree} API gravity inclusive) production being conducted for the US Department of Energy. The report includes projections of future heavy oil production at three production levels: 900,000; 500,000; and 300,000 BOPD above the current 1992 heavy oil production level of 750,000 BOPD. These free market scenario projections include time frames and locations. Production projections through a second scenario were developed to examine which heavy oil areas would be developed if significant changes in the US petroleum industry occurred. The production data helps to define the possible constraints (impact) of increased heavy oil production on the US refining industry (the subject of a future report). Constraints include a low oil price and low rate of return. Heavy oil has high production, transportation, and refining cost per barrel as compared to light oil. The resource is known, but the right mix of technology and investment is required to bring about significant expansion of heavy oil production in the US.

Olsen, D.K.

1993-07-01T23:59:59.000Z

92

The Energy Minimization Method: A Multiobjective Fitness Evaluation Technique and Its Application to the Production Scheduling in a Petroleum Refinery  

E-Print Network [OSTI]

to the Production Scheduling in a Petroleum Refinery Mayron Rodrigues de Almeida Sílvio Hamacher Industrial applied to production scheduling of a petroleum refinery. The experimental results are presented of the method when applied to the production scheduling in a petroleum refinery. Section 5 discusses

Coello, Carlos A. Coello

93

Energy Management Through Innovative Rates  

E-Print Network [OSTI]

of energy efficiency in the industrial sector and specific rate design alternatives for doing so....

Williams, M. L.

1982-01-01T23:59:59.000Z

94

Energy Rating  

E-Print Network [OSTI]

Consistent, accurate, and uniform ratings based on a single statewide rating scale Reasonable estimates of potential utility bill savings and reliable recommendations on cost-effective measures to improve energy efficiency Training and certification procedures for home raters and quality assurance procedures to promote accurate ratings and to protect consumers Labeling procedures that will meet the needs of home buyers, homeowners, renters, the real estate industry, and mortgage lenders with an interest in home energy ratings

Cabec Conference; Rashid Mir P. E

2009-01-01T23:59:59.000Z

95

The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt  

E-Print Network [OSTI]

results, i.e. priority boosts should be based on rate or deadline requirements. ¯ Increasing the loadThe BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt University-effort scheduler that handles CPU-intensive, I/O-intensive, and periodic SRT processes using a single scheduling

Brandt, Scott A.

96

On the equivalence of economic lot scheduling and switched production systems  

E-Print Network [OSTI]

On the equivalence of economic lot scheduling and switched production systems K.G.M. Jacobs from switched production systems are applied to the economic lot schedul- ing problem: i) A feedback-entrant production scheduling where parts arrive into the manufacturing system with certain (random) arrival rates

Armbruster, Dieter

97

Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless Networks  

E-Print Network [OSTI]

Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless scheduling, routing and power control that achieves max-min fair rate allocation in a multi-hop wireless that a traditional layering network approach, separating routing, scheduling, flow and power control

Paris-Sud XI, Université de

98

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 55, NO. 3, MARCH 2008 1421 On the Use of a Lower Sampling Rate for Broken  

E-Print Network [OSTI]

industries, petrochemical industries, and domestic appliance industries. Induction motors are often used in critical applications such as nuclear plants, aerospace, and military applications, where the reliability itself, in addition to a likely costly downtime of the whole plant. More important, these failures may

Chow, Mo-Yuen

99

Optimization of opportunistic replacement activities: A case study in the aircraft industry  

E-Print Network [OSTI]

must there- fore be opportunistic, incorporating preventive maintenance activities within the scheduled to consider that the maintenance event is an opportunity for preventive maintenance#22;an opportunity Svensson # Abstract In the aircraft industry maximizing availability is essential. Maintenance schedules

Patriksson, Michael

100

Scheduled System Outages  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System Outages NERSC

Note: This page contains sample records for the topic "industrial rate schedule" 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

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

) CMGT 111 Construction Materials & Methods Lab (1) CMGT 460 Project Cost Controls (3) FA SP CMGT 320 FASYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro) CMGT 475 Construction Project Management (3) MATH 108 College Algebra (4) Construction Elective

Barrash, Warren

102

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

460 Project Cost Controls (3) FA SP FA CE 210/211 Surveying & Lab (3) CMGT 410 Concrete FormworkSYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro Construction Project Management (3) MATH 108 College Algebra (4) MGMT 301 Leadership Skills (3) ENGL 101

Barrash, Warren

103

TOWARDS UNIFYING DATABASE SCHEDULING AND  

E-Print Network [OSTI]

1 TOWARDS UNIFYING DATABASE SCHEDULING AND CONCURRENCY CONTROL: A FRONTIER APPROACH Gregory Jones previous work in real-time database concurrency control indexconcur- rency control and scheduling has focused on combiningvariations of traditional concurrency control techniques with real-time scheduling

Rhode Island, University of

104

Optimal Power Schedule for Distributed MIMO Links  

E-Print Network [OSTI]

an integration of link scheduling and power control for MIMOmedium access control, space-time power scheduling. Fig. 1.

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

105

1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS  

E-Print Network [OSTI]

, mathematics, chemistry and the oil industry. Particularly in today's relatively specialized economy, it is di are: management, operations, marketing and human resources. Management thinks of itself a1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS Warren B. Powell Abstract: The modeling

Powell, Warren B.

106

Industrial Permit  

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

Protection Obeying Environmental Laws Industrial Permit Industrial Permit The Industrial Permit authorizes the Laboratory to discharge point-source effluents under the...

107

Transportation Baseline Schedule  

SciTech Connect (OSTI)

The 1999 National Transportation Program - Transportation Baseline Report presents data that form a baseline to enable analysis and planning for future Department of Energy (DOE) Environmental Management (EM) waste/material transportation. The companion 1999 Transportation Barriers Analysis analyzes the data and identifies existing and potential problems that may prevent or delay transportation activities based on the data presented. The 1999 Transportation Baseline Schedule (this report) uses the same data to provide an overview of the transportation activities of DOE EM waste/materials. This report can be used to identify areas where stakeholder interface is needed, and to communicate to stakeholders the quantity/schedule of shipments going through their area. Potential bottlenecks in the transportation system can be identified; the number of packages needed, and the capacity needed at receiving facilities can be planned. This report offers a visualization of baseline DOE EM transportation activities for the 11 major sites and the Geologic Repository Disposal site (GRD).

Fawcett, Ricky Lee; John, Mark Earl

2000-01-01T23:59:59.000Z

108

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

Office of Environmental Management (EM)

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

109

Chemotherapy Operations Planning and Scheduling  

E-Print Network [OSTI]

Feb 12, 2010 ... ning and scheduling methods for chemotherapy patients with the ... growth, control or prevent the spread of cancer cells, and/or relieve cancer...

2010-02-13T23:59:59.000Z

110

Schedule - 88-Inch Cyclotron  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch WelcomeScienceProgramsSANDCurrentNational|ScatteringSchedule

111

Green Scheduling: Scheduling of Control Systems for Peak Power Reduction  

E-Print Network [OSTI]

approach to fine-grained coordination of energy demand by scheduling energy consuming control systems of the system variables only, control system execution (i.e. when energy is supplied to the system-Scheduling; Energy Systems; Peak Power Reduction; Load Balancing; I. INTRODUCTION During a major sporting event

Pappas, George J.

112

Software agents : an application to the airline MRO industry  

E-Print Network [OSTI]

Poor management of aircraft spare parts, human-related maintenance errors and the lack of coordinated decision-making in maintenance scheduling are some of the problems plaguing the airline MRO industry. Airlines, independent ...

Poon, Arthur Wai Keong, 1979-

2004-01-01T23:59:59.000Z

113

Industrial Powerhouse Optimization in the Deregulated Electricity Marketplace  

E-Print Network [OSTI]

The State of Delaware deregulated the retail sale of electricity in 2002, enabling buyers to procure power on a real-time price schedule and sell excess generated power to the grid. This initiative has prompted industrial sites, especially those...

Hughes, P. D.; Bailey, W. F.

114

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

115

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

116

ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...  

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

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

117

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

118

Integrated System Transmission and Ancillary Services Rate Calculation  

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

Transmission Rate 10 4.14 MillsKWh (L5 * 1000) 730 hours per month 7 RATE FOR SCHEDULING, SYSTEM CONTROL AND DISPATCH SERVICE FOR 2014 A. Fixed Charge Rate 22.770% (1)...

119

Integrated System Transmission and Ancillary Services Rate Calculation  

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

Transmission Rate 10 4.00 MillsKWh (L5 * 1000) 730 hours per month 7 RATE FOR SCHEDULING, SYSTEM CONTROL AND DISPATCH SERVICE FOR 2015 A. Fixed Charge Rate 21.652% (1)...

120

Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing  

E-Print Network [OSTI]

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

Marcus, Steven I.

Note: This page contains sample records for the topic "industrial rate schedule" 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

Provably Efficient Two-Level Adaptive Scheduling  

E-Print Network [OSTI]

processor reallocation, our schedulers provide control over the scheduling overhead and ensure effectiveProvably Efficient Two-Level Adaptive Scheduling Yuxiong He1 , Wen-Jing Hsu1 , and Charles E. Multiprocessor scheduling in a shared multiprogramming en- vironment can be structured in two levels, where

Feitelson, Dror

122

Wireless Link Scheduling under Physical Interference Model  

E-Print Network [OSTI]

approximation algorithms for link scheduling with or without power control. Index Terms--Link schedulingWireless Link Scheduling under Physical Interference Model Peng-Jun Wan, Ophir Frieder, Xiaohua Jia: jia@cs.cityu.edu.hk, csfyao@cityu.edu.hk Abstract--Link scheduling is a fundamental problem in multi

Jia, Xiaohua

123

On parallel machine scheduling 1  

E-Print Network [OSTI]

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

Magdeburg, Universität

124

On-line Service Scheduling?  

E-Print Network [OSTI]

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

2008-04-18T23:59:59.000Z

125

www.abb.com\\careers ABB is a leader in power and automation technologies that enables utility and industry customers to improve perfo r-  

E-Print Network [OSTI]

their production based on energy pricing. Project: Workforce Scheduling in the Utility Industry Your profile: You in research & development is a prerequisite for ABB's business success. Essential contributions grow out for Power. Industrial planning and scheduling problems Optimization of energy efficiency in industrial

Mannheim, Universität

126

Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants  

E-Print Network [OSTI]

of scheduling, or they demand too much control of an important aspect of the individual's working world. PTIMEBringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling This position paper discusses the scheduling problem as collaboration between human and automated scheduling

Yorke-Smith, Neil

127

CALENDAR YEAR 2012 SCHEDULE Workshops to Improve Industrial Productivity by  

E-Print Network [OSTI]

.html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads by signing up for one or more of these Best Practices Workshops today! Fundamentals of Compressed Air Systems

128

schedule_2005.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial Carbon CaptureFY08 JointProgram Consortium -| NationalGhost Cell5 Long

129

schedule_2006.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial Carbon CaptureFY08 JointProgram Consortium -| NationalGhost Cell5 Long6

130

Multi-agent Cluster Scheduling for Scalability and Flexibility  

E-Print Network [OSTI]

of clusters scheduling and classical concurrency controlotherwise push control of task scheduling and execution towhich actively controls and modifies scheduling domains as

Konwinski, Andrew David

2012-01-01T23:59:59.000Z

131

Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks  

E-Print Network [OSTI]

2004. 3 Joint Scheduling and Power Control for Multicastingusers. This joint scheduling and power control problem is38 Joint Scheduling and Power Control for Multicasting in

Tan, Choo Chin

2013-01-01T23:59:59.000Z

132

A Hybrid Bin-Packing Heuristic to Multiprocessor Scheduling  

E-Print Network [OSTI]

Abstract. The multiprocessor scheduling problem consists in schedul- ...... parallel machine scheduling", Production Planning and Control 9 (1998), 685{689. 9.

133

Scheduling a Metacomputer With Uncooperative Sub-schedulers ?  

E-Print Network [OSTI]

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

Feitelson, Dror

134

Distributed scheduling for efficient HVAC precooling operations  

E-Print Network [OSTI]

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

Yang, Su

2014-01-01T23:59:59.000Z

135

Human aspects of scheduling : a case study  

E-Print Network [OSTI]

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

Boasson, Yishai, 1973-

2006-01-01T23:59:59.000Z

136

Re: 'BPA Upcoming Schedule'  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor.Tariff Rates FYRayRetheRe:

137

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

138

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

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

2015-02-07T23:59:59.000Z

139

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

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

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

140

Proposal Submittal and Scheduling Procedures for Macromolecular...  

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

Proposal Submittal and Scheduling Procedures for Macromolecular Crystallography Beam time for macromolecular crystallography projects is obtained by submitting an SSRL...

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

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

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS Budget and...

142

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

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

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT Budget and apportionment records...

143

1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines  

E-Print Network [OSTI]

College controlled conference rooms ... 1. Conference rooms, under College scheduling control, support1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines effective August 27, 2013 with the above information o Online at http://eventscheduling.wvu.edu and use MyID login o Send email to statler-scheduling

Mohaghegh, Shahab

144

Move Frame Scheduling and Mixed SchedulingAllocation for the Automated Synthesis of Digital Systems y  

E-Print Network [OSTI]

steps: 1) Data path synthe­ sis (operation scheduling and hardware allocation), and 2) Control path design. In the scheduling phase, operations are assigned to the appropriate control steps. The allocaMove Frame Scheduling and Mixed Scheduling­Allocation for the Automated Synthesis of Digital

Nourani, Mehrdad

145

Optimization of Injection Scheduling in  

E-Print Network [OSTI]

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

Stanford University

146

Batch Scheduling with Deadlines on Parallel Machines  

E-Print Network [OSTI]

Batch Scheduling with Deadlines on Parallel Machines Peter Brucker Mikhail Y. Kovalyov, Yakov M of scheduling G groups of jobs on m parallel machines is considered. Each group consists of several identical) and to schedule the batches on the machines. It is possible for different batches of the same group

Magdeburg, Universität

147

DYNAMIC SCHEDULING M. C. H. Wright  

E-Print Network [OSTI]

for a time interval after which control is returned to the scheduling program to determine the best project who wants more time to evaluate their data can return control to the scheduling program, and come backDYNAMIC SCHEDULING M. C. H. Wright Radio Astronomy Laboratory, University of California, Berkeley

Militzer, Burkhard

148

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil­ ity. Modular, hierarchical control can be provided over systems control the sharing of the machine's CPU resources among threads using a fixed scheduling schemeCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah

Ford, Bryan

149

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil- ity. Modular, hierarchical control can be provided overCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah processor scheduling mechanisms in operat- ing systems are fairly rigid, often supportingonly one fixed

Ford, Bryan

150

Models for Train Scheduling Krishna C. Jha  

E-Print Network [OSTI]

Models for Train Scheduling Krishna C. Jha Vice President - Research & Development krishna/analytics, and packaging into web-based map-based interfaces. Innovative Scheduling Overview #12;-3- The train schedule is one of most critical components in the passenger or freight transportations. The quality of a train

Bustamante, Fabián E.

151

Flow shop scheduling with peak power consumption constraints  

E-Print Network [OSTI]

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer...

K. Fang

2012-03-29T23:59:59.000Z

152

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

153

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergy DOEDealingVehicle1 Closing the Circle: TheDraftforDuctless,Ducts3-E

154

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergy DOEDealingVehicle1 Closing the Circle:

155

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisability EmploymentDrain-Water Heat Recovery1-E

156

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisability EmploymentDrain-Water Heat Recovery1-E2-E

157

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:Diesel Engines |Servicesfrom theTelecomNC-1-B

158

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1 2

159

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1 22-B

160

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 1

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2 14-B

162

VANC-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear Guide Remote Access08:Energy 94:Service2

163

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

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustionImprovement3 Beryllium-Associated6-05.pdf AL2006-05.pdf AL2006-05.pdf10-01.pdf

164

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 | Department ofThatGrid3ofBuildingsEnergy PolicyPueblo1-A

165

Pump-2 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 | Department ofThatGrid3ofBuildingsEnergy PolicyPueblo1-A2

166

Regulation-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 |RebeccaRegional Standards EnforcementRegulation-1

167

Replacement-1 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015 |RebeccaRegionalReliabilityRenewable EnergyRenie

168

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy

169

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E

170

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E3-E

171

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1 This scorecardEnergy2-E3-E4-E

172

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About

173

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E

174

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E3-E

175

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September2-SCORECARD-01-24-13 Page 1 of 1Sandra L. Burrell About2-E3-E4-E

176

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW

177

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW2-B

178

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus onANDREW2-B3-B

179

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South Valley ResponsibleSubmissionofDepartmentNo.7-052 ofFocus

180

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: Top FiveDepartment of Energy BuildingsBuried andSoftF.Energy DirectCBR-1-H

Note: This page contains sample records for the topic "industrial rate schedule" 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

Figure 3. Production Schedules at Two Development Rates  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC's and Computer33.

182

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7 U.S.DepartmentEnergyREVIEWU N E 2 0JW-1-J

183

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department7 U.S.DepartmentEnergyREVIEWU N E 2

184

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM: YouCLEAN ENERGY JOBS

185

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM:Systems Are UnderCTV-1-H

186

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean EnergyofF.CEM:Systems Are

187

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones | Department of Energy VolunteerismCC-1-I

188

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones | DepartmentCEE Winter Program MeetingCEK-1-H

189

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, June 2011 |StatementCITSSCK-1-H

190

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory,CSG, Bainbridge Island,CSI-1-H

191

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalancedDepartment ofColumbusReport #StudyRenewable EnergyPreliminary Findings

192

Replacement-3 Wholesale Power Rate Schedule | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalancedDepartment ofColumbusReport #StudyRenewable EnergyPreliminary Findings3

193

Rate Schedule CV-T3 (Supersedes Schedules CV- T2) UNITED STATES DEPARTMENT OF ENERGY  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, andEpidermal Growth Factor. |INCIDENCET3 (Supersedes

194

Optimal Industrial Load Control in Smart Grid: A Case Study for Oil Refineries  

E-Print Network [OSTI]

Optimal Industrial Load Control in Smart Grid: A Case Study for Oil Refineries Armen Gholian, Hamed units finish their operations. Considering an oil refinery industry as an example, we not only identify Terms­Demand response, load management, manufactur- ing industries, oil refineries, optimal scheduling

Mohsenian-Rad, Hamed

195

Single-machine scheduling with periodic and exible periodic maintenance to minimize maximum tardiness  

E-Print Network [OSTI]

periods often appear in industry due to a machine breakdown (stochastic) or preventive maintenance of machine unavailability. However, in some cases (e.g. preventive maintenance), the maintenance of a machineSingle-machine scheduling with periodic and exible periodic maintenance to minimize maximum

Paris-Sud XI, Université de

196

Industrial Assessment Center  

SciTech Connect (OSTI)

Since its inception, the University of Florida Industrial Assessment Center has successfully completed close to 400 energy assessments of small to medium manufacturing facilities in Florida, southern Georgia and southern Alabama. Through these efforts, recommendations were made that would result in savings of about $5 million per year, with an implementation rate of 20-25%. Approximately 80 engineering students have worked for the UF-IAC, at least 10 of whom went on to work in energy related fields after graduation. Additionally, through the popular course in Industrial Energy Management, many students have graduated from the University of Florida with a strong understanding and support of energy conservation methods.

Dr. Diane Schaub

2007-03-05T23:59:59.000Z

197

Machine scheduling using the Bees algorithm.  

E-Print Network [OSTI]

??Single-machine scheduling is the process of assigning a group of jobs to a machine. The jobs are arranged so that a performance measure, such as (more)

Phrueksanant, Janyarat

2013-01-01T23:59:59.000Z

198

Construction project scheduling problem with uncertain resource ...  

E-Print Network [OSTI]

... on-going activities. 7 Conclusions and future work .... constrained construction scheduling, Journal of Computing in Civil Engineering, 13(3),. 207-216. [23] Liu...

2004-06-01T23:59:59.000Z

199

Statler College Scheduling Guidelines General Procedures  

E-Print Network [OSTI]

Statler College Scheduling Guidelines General Procedures Basic event information needed o Event Procedures Basic event information needed o Event name o Contact name, phone, email o expected number

Mohaghegh, Shahab

200

Single machine stochastic appointment sequencing and scheduling  

E-Print Network [OSTI]

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

Administrator

2010-10-22T23:59:59.000Z

Note: This page contains sample records for the topic "industrial rate schedule" 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

The Schedule - DOE Directives, Delegations, and Requirements  

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

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

202

ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS...  

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

4: PROPERTY DISPOSAL RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS (Revision 2) These records pertain to the sales by agencies of real and...

203

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

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

8: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS Protection program records include the...

204

Scheduling Workover Rigs for Onshore Oil Production  

E-Print Network [OSTI]

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

2003-06-23T23:59:59.000Z

205

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

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

Christina N Burt

2014-11-30T23:59:59.000Z

206

Robustness in Combinatorial Optimization and Scheduling Theory ...  

E-Print Network [OSTI]

ten years in the area of combinatorial optimization and scheduling theory .... with robust reformulation of optimization model by adapting robust control...

2006-09-26T23:59:59.000Z

207

An Optimal General Purpose Scheduler for Networked Control Systems  

E-Print Network [OSTI]

An Optimal General Purpose Scheduler for Networked Control Systems Ahmed Elmahdi , Ahmad F Taha to control the time delay is to im- prove the scheduling criterion. This paper proposes an optimal scheduling the stability of the control system. The proposed optimal schedul- ing protocol is a hybrid scheduling criterion

Sun, Dengfeng

208

Schedule  

E-Print Network [OSTI]

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

209

Schedule  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsis aSecurity8NuclearofScatteringNationalPlease

210

Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint  

SciTech Connect (OSTI)

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

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

2010-08-01T23:59:59.000Z

211

Schedule optimization study implementation plan  

SciTech Connect (OSTI)

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

Not Available

1993-11-01T23:59:59.000Z

212

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring the onsite drinking water falls outside the scope of the SESP. The Hanford Environmental Health Foundation is responsible for monitoring the nonradiological parameters as defined in the National Drinking Water Standards while PNL conducts the radiological monitoring of the onsite drinking water. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize the expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control and reporting. The ground-water sampling schedule identifies ground-water sampling events used by PNL for environmental surveillance of the Hanford Site.

Bisping, L.E.

1994-02-01T23:59:59.000Z

213

Initiating Event Rates at U.S. Nuclear Power Plants 19882013  

SciTech Connect (OSTI)

Analyzing initiating event rates is important because it indicates performance among plants and also provides inputs to several U.S. Nuclear Regulatory Commission (NRC) risk-informed regulatory activities. This report presents an analysis of initiating event frequencies at U.S. commercial nuclear power plants since each plants low-power license date. The evaluation is based on the operating experience from fiscal year 1988 through 2013 as reported in licensee event reports. Engineers with nuclear power plant experience staff reviewed each event report since the last update to this report for the presence of valid scrams or reactor trips at power. To be included in the study, an event had to meet all of the following criteria: includes an unplanned reactor trip (not a scheduled reactor trip on the daily operations schedule), sequence of events starts when reactor is critical and at or above the point of adding heat, occurs at a U.S. commercial nuclear power plant (excluding Fort St. Vrain and LaCrosse), and is reported by a licensee event report. This report displays occurrence rates (baseline frequencies) for the categories of initiating events that contribute to the NRCs Industry Trends Program. Sixteen initiating event groupings are trended and displayed. Initiators are plotted separately for initiating events with different occurrence rates for boiling water reactors and pressurized water reactors. p-values are given for the possible presence of a trend over the most recent 10 years.

John A. Schroeder; Gordon R. Bower

2014-02-01T23:59:59.000Z

214

Time and event triggered communication scheduling for automotive applications  

E-Print Network [OSTI]

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

Johansson, Roger

215

Energy Efficiency Exchange 2015 Schedule | Department of Energy  

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

Schedule Energy Efficiency Exchange 2015 Schedule The schedule for Energy Efficiency Exchange 2015 is available below. Monday, August 10, 2015 12 p.m.-5:30 p.m. Registration...

216

Scheduling on the MasPar SIMD parallel computer  

E-Print Network [OSTI]

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

Perkins, Keith Douglas

1995-01-01T23:59:59.000Z

217

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments  

E-Print Network [OSTI]

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments Nicanor into decentralized and networked dynamic resource allocation, scheduling, and control. 2 Questions 1. What, "Experiments for decentralized and networked dynamic resource allocation, scheduling, and control," Submitted

218

Enhancing feedback process scheduling via a predictive control approach  

E-Print Network [OSTI]

Enhancing feedback process scheduling via a predictive control approach Alessandro Vittorio the application possibilities at an affordable additional cost. Keywords: feedback scheduling; control that preemptive process schedulers in multitasking operating systems can be viewed, and above all designed

Como, Giacomo

219

Characteristics of spot-market rate indexes for truckload transportation  

E-Print Network [OSTI]

In the truckload transportation industry in the United States, a number of indexes are published that attempt to measure changes in rates, but no single index has emerged as an industry standard. Industry participants, ...

Bignell, Andrew (Andrew Souglas)

2013-01-01T23:59:59.000Z

220

PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE  

E-Print Network [OSTI]

] project scheduling inevitably involves uncertainty. The basic inputs (i.e., time, cost, and resourcesPROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE UNCERTAINTY USINC BAYESIAN NETWORKS VAHID, there is a causal relationship between these uncertainty sources and project parameters; this causality

Neil, Martin

Note: This page contains sample records for the topic "industrial rate schedule" 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

Online Deadline Scheduling with Bounded Energy Efficiency  

E-Print Network [OSTI]

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

Wong, Prudence W.H.

222

Electrical Engineering Technology (EET) LONG RANGE SCHEDULE  

E-Print Network [OSTI]

and Machinery C T C T EET 365W Electrical Power & Machinery Laboratory C C, V V C C, V V EET 370T Energy=Virtual Laboratory, W=Web based This schedule is tentative. All Course offerings are subject to minimum enrollmentElectrical Engineering Technology (EET) LONG RANGE SCHEDULE Course Number and Name Fall 2010 Spr

223

Parallel machine match-up scheduling with manufacturing cost considerations  

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

224

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

Energy Savers [EERE]

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

225

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

Office of Environmental Management (EM)

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

226

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

Energy Savers [EERE]

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

227

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES...  

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

3: RECORDS COMMON TO MOST OFFICES (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES (Revision 2) This schedule provides for the disposal of certain...

228

Approximate resolution of a resource-constrained scheduling problem  

E-Print Network [OSTI]

hard resource-constrained scheduling problem which arises in relation to .... schedules in which the temperature is allowed to increase. 5 ...... Systems & Control.

229

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

Energy Savers [EERE]

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

230

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

E-Print Network [OSTI]

Abstract In this paper, a mathematical approach was used to schedule trains in ... Nowadays, due this criticality, the main decision about the train schedule over.

2014-07-15T23:59:59.000Z

231

Operating Experience Level 3, Industrial Equipment Impacts Infrastructure  

Broader source: Energy.gov [DOE]

This Operating Experience Level 3 (OE-3) document provides information on a safety concern related to heavy industrial equipment that contacts and damages structures and electrical, gas, and water lines. Although these contacts did not cause injuries, the events did impact mission and schedule, divert resources, and change momentum.

232

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

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

Bisping, L E

1992-01-01T23:59:59.000Z

233

NRC comprehensive records disposition schedule. Revision 3  

SciTech Connect (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

234

Industrial Users  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningtoA Journey Inside the Complex andIndustrial

235

Industry Economists  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformation for planningtoA Journey Inside the ComplexIndustry

236

Industry @ ALS  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area.Portaldefault Sign In AboutIn theIndustry @ ALS

237

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

238

October 2001 - September 2006 Wholesale Power Rates (rates/previous)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY

239

October 2002 - March 2003 Power Rates (rates/previous)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY6 A2

240

October 2003 - March 2004 Power Rates (rates/previous)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY6

Note: This page contains sample records for the topic "industrial rate schedule" 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

October 2004 - March 2005 Power Rates (rates/previous)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY64 -

242

October 2005 - March 2006 Power Rates (rates/previous)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY64

243

Knowledge-Based Design of Scheduling Systems Jrgen Sauer  

E-Print Network [OSTI]

have to decide and control within the scheduling process. In different application areas scheduling1 Knowledge-Based Design of Scheduling Systems Jürgen Sauer Universität Oldenburg, FB Informatik Escherweg 2 D-26121 Oldenburg, Germany sauer@informatik.uni-oldenburg.de Abstract A Scheduling system shall

Appelrath, Hans-Jürgen

244

Survey of Gain-Scheduling Analysis & Design WE.Leithead  

E-Print Network [OSTI]

ranging from aerospace to process control. Despite the wide application of gain-scheduling controllers of gain-scheduling controllers and a diverse academic literature relating to gain- scheduling extendingSurvey of Gain-Scheduling Analysis & Design D.J.Leith WE.Leithead Department of Electronic

Duffy, Ken

245

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

246

Monitoring Building Systems for Schedule Compliance  

SciTech Connect (OSTI)

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

247

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...

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

2007-01-01T23:59:59.000Z

248

PARS II Training Schedule | Department of Energy  

Office of Environmental Management (EM)

will certify that user to receive a PARS II user account. PARSIITrainingSchedule03-06-2014.pdf More Documents & Publications Slide 1 Slide 1 PARS II Course Registration Form...

249

Underground Injection Control Fee Schedule (West Virginia)  

Broader source: Energy.gov [DOE]

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

250

Online optimization in routing and scheduling  

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

251

Scheduling and synchronization for multicore concurrency platforms  

E-Print Network [OSTI]

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

Agrawal, Kunal

2009-01-01T23:59:59.000Z

252

WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling  

E-Print Network [OSTI]

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

Mohaghegh, Shahab

253

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

This document contains the CY2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2000-01-27T23:59:59.000Z

254

Engineering Industrial & Systems  

E-Print Network [OSTI]

Industrial Engineering Department of Industrial & Systems Engineering Leslie Monplaisir, Ph powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I is available at: http://ise.wayne.edu/bs-industrial/index What is Industrial Engineering? The industrial

Berdichevsky, Victor

255

Advanced Reactors Transition Program Resource Loaded Schedule  

SciTech Connect (OSTI)

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

BOWEN, W.W.

1999-11-08T23:59:59.000Z

256

Real Options for Project Schedules (ROPS)  

E-Print Network [OSTI]

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

Ingber, Lester

2007-01-01T23:59:59.000Z

257

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

E-Print Network [OSTI]

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

Bahk, Saewoong

258

An Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting  

E-Print Network [OSTI]

An Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting Neyre, as well as power and rate to multiple receivers on an energy harvest- ing downlink. Energy arrival times of BCD. Keywords: Broadcast channel, energy harvesting, offline algorithms, proportional fairness, time

Uysal-Biyikoglu, Elif

259

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

260

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

Note: This page contains sample records for the topic "industrial rate schedule" 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

Sustainable Nanomaterials Industry Perspective  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy Strain Rate4SuperhardSuspect andCoaches Aim Industry Perspective

262

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

E-Print Network [OSTI]

-schedule component), which may maintain responding in the lean component when there is insufficient reinforcement. 4 General Introduction The Basic Problem: Pausing on FR Schedules Fixed-ratio (FR) schedules require that a certain number of responses occur.... In the context of a FR schedule, pausing may be considered counterproductive (or maladaptive) because it postpones the receipt of a reinforcer for a food-deprived organism. A host of variables affect pausing on FR schedules; for example, pausing increases as a...

Brewer, Adam Thornton

2012-08-31T23:59:59.000Z

263

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

E-Print Network [OSTI]

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

Cakoni, Fioralba

264

Impact of recent energy legislation on the aluminum industry  

SciTech Connect (OSTI)

This report examines the aluminum industry's technology in energy use and emissions control. Data on consumption and pollution levels are presented. A history of the aluminum industry in the Pacific Northwest, its role in providing power reserves, and how that role fits into the present power situation are given. The Northwest Power Act, the rates the industry will probably pay as a result of the Act, the implications of those rates to the industry, as well as the availability of federal power to the industry are discussed. Finally, the Act's effects on the relative competitiveness of the industry in both domestic and world markets are examined.

Edelson, E.; Emery, J.G.; Hopp, W.J.; Kretz, A.L.

1981-06-01T23:59:59.000Z

265

Adaptive Scheduling Algorithms for Planet Searches  

E-Print Network [OSTI]

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

Eric B. Ford

2007-12-17T23:59:59.000Z

266

University of Delaware | CCEI Industrial Consortium  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduledProductionCCEI Advisory Board OurCCEI Industrial

267

Utility Roles in Preserving the Industrial Base  

E-Print Network [OSTI]

While the price of energy may have stabilized for the moment, the impact of several years of rate increases in the cost of energy, materials, and labor has made American industry re-evaluate its operations. Utilities serving clusters of industrial...

Gilbert, J. S.

268

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

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

269

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

E-Print Network [OSTI]

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

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

270

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

E-Print Network [OSTI]

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

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

271

Space-Time Power Scheduling of MIMO LinksFairness and QoS Considerations  

E-Print Network [OSTI]

design of link scheduling and power control. This would be aPower control, beamforming and link scheduling are alllink scheduling (temporal freedom) with MIMO power control (

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

272

Emerging trends in the satellite industry  

E-Print Network [OSTI]

Risk aversion in the satellite industry has fostered long development cycles and low rates of innovation in the past. Emerging trends in propulsion technology development and spacecraft architecture design could lead to ...

Salazar, Vagn Knudsen

2012-01-01T23:59:59.000Z

273

The Utility Relationship to its Key Industries  

E-Print Network [OSTI]

While the price of energy may have stabilized for the moment, the impact of several years of rate increases in the cost of energy, materials, and labor have made American industry re-evaluate their operations. Utilities serving clusters...

Gilbert, J. S.

274

Industrial Revenue Bond Issuance Cost Assistance (Wisconsin)  

Broader source: Energy.gov [DOE]

Industrial Revenue Bonds (IRB) are tax-exempt bonds that can be used to stimulate capital investment and job creation by providing private borrowers with access to financing at interest rates that...

275

Scheduling and allocation algorithm for an elliptic filter  

E-Print Network [OSTI]

A new evolutionary algorithm for scheduling and allocation algorithm is developed for an elliptic filter. The elliptic filter is scheduled and allocated in the proposed work which is then compared with the different scheduling algorithms like As Soon As Possible algorithm, As Late As Possible algorithm, Mobility Based Shift algorithm, FDLS, FDS and MOGS. In this paper execution time and resource utilization is calculated using different scheduling algorithm for an Elliptic Filter and reported that proposed Scheduling and Allocation increases the speed of operation by reducing the control step. The proposed work to analyse the magnitude, phase and noise responses for different scheduling algorithm in an elliptic filter.

Marikkannan, Sangeetha

2012-01-01T23:59:59.000Z

276

Industrial and Systems engineering  

E-Print Network [OSTI]

Industrial and Systems engineering COLLEGE of ENGINEERING DepartmentofIndustrialandSystemsEngineering EDGE Engineering Entrepreneur Certificate Program is a great addition to an industrial and systems to expert clinical recommendations. engineering.wayne.edu/isefaculty Industrial and systems engineering

Berdichevsky, Victor

277

The Long Term Schedule has been  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System BurstLong Term Schedule has been temporarily

278

CASL Industry Council Meeting  

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

IndustryCouncil.shtml The new members that joined the Industry Council include NPP owneroperators with analysis capability: Tyrone Stevens of Exelon, and SMR vendors:...

279

Uranium industry annual 1997  

SciTech Connect (OSTI)

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

280

Electric Utility Industry Update  

Broader source: Energy.gov [DOE]

Presentationgiven at the April 2012 Federal Utility Partnership Working Group (FUPWG) meetingcovers significant electric industry trends and industry priorities with federal customers.

Note: This page contains sample records for the topic "industrial rate schedule" 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

Static scheduling of synchronous data flow programs for digital signal processing  

SciTech Connect (OSTI)

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

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

1987-01-01T23:59:59.000Z

282

Optimization models for improving periodic maintenance schedules by utilizing opportunities  

E-Print Network [OSTI]

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

Patriksson, Michael

283

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION  

E-Print Network [OSTI]

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION Notes: 1. Before a student's design project presentation can be scheduled, the student must certify that the following steps. ----------------------------------------------------------------------------------------------------------- Student's name:_________________________________________________________ Design Project title

Ravikumar, B.

284

Incremental temporal reasoning in job shop scheduling repair  

E-Print Network [OSTI]

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

Huang, Y.

285

Evaluating the robustness of crew schedules for rail transit systems  

E-Print Network [OSTI]

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

Ravichandran, Harshavardhan

2013-01-01T23:59:59.000Z

286

Instruction scheduling optimizations for energy efficient VLIW processors  

E-Print Network [OSTI]

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

Porpodas, Vasileios

2013-11-28T23:59:59.000Z

287

Gain Scheduled Control Using the Dual Youla Parameterization  

E-Print Network [OSTI]

Stability is a critical issue in gain-scheduled control problems in that the closed loop system may not be stable during the transitions between operating conditions despite guarantees that the gain-scheduled controller stabilizes the plant model...

Chang, Young Joon

2011-08-08T23:59:59.000Z

288

Airline fleet assignment and schedule design : integrated models and algorithms  

E-Print Network [OSTI]

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

Lohatepanont, Manoj, 1974-

2002-01-01T23:59:59.000Z

289

Daily Scheduling of Nurses in Operating Suites  

E-Print Network [OSTI]

Department of Industrial Engineering ... Quality Engineering and Clinical Operations Informatics ... As the types of services and treatments offered by.

2011-10-07T23:59:59.000Z

290

Order Acceptance and Scheduling Problem in Two-machine Flow ...  

E-Print Network [OSTI]

Jul 29, 2014 ... Order Acceptance and Scheduling Problem in Two-machine Flow Shops: New Mixed Integer Programming Formulations.

Rasul Esmaeilbeigi

2014-07-29T23:59:59.000Z

291

Optimization of Logic Programs with Dynamic Scheduling  

E-Print Network [OSTI]

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

Stuckey, Peter J.

292

Measurement Scheduling for Soil Moisture Sensing  

E-Print Network [OSTI]

energy consumption is presented; the paper is grounded in the physics of soil moisture. By David I Shuman off some inaccuracy in estimating soil moisture evolution for a significant reduction in energyINVITED P A P E R Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal

Mahajan, Aditya

293

ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

294

Dynamic Scheduling of Maintenance Activities Under Uncertainties  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

295

SEMINAR SCHEDULE Friday, January 24, 2014  

E-Print Network [OSTI]

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

Hayden, Nancy J.

296

High Noon Lecture Series 2012 Fall Schedule  

E-Print Network [OSTI]

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

297

PND TAD SchedulerSemantic Translation  

E-Print Network [OSTI]

#12;PND TAD SchedulerSemantic Translation Synthesis Algorithm Property Figure 1. The framework. 2 music video audio applet music text applet music text video audio picture picture music Figure 7. TAD card specification trans- lated into a TAD. ready and smiley photo done start xmast xmasm and dummy1

Sifakis, Joseph

298

Energy Conscious Scheduling Johnatan E. Pecero  

E-Print Network [OSTI]

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

Lefèvre, Laurent

299

Advance Resource Provisioning in Bulk Data Scheduling  

SciTech Connect (OSTI)

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

Balman, Mehmet

2012-10-01T23:59:59.000Z

300

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

Note: This page contains sample records for the topic "industrial rate schedule" 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

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

302

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

SciTech Connect (OSTI)

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.

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

2013-10-27T23:59:59.000Z

303

A New I/O Scheduler for Solid State Devices  

E-Print Network [OSTI]

parameters of solid state drives. Using the information from the parameter extraction, we present a new I/O scheduler design which utilizes the structure of solid state devices to efficiently schedule writes. The new scheduler, implemented on a 2.6 Linux...

Dunn, Marcus P.

2010-10-12T23:59:59.000Z

304

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES  

E-Print Network [OSTI]

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES JOS? VERSCHAE AND ANDREAS WIESE Abstract. One of the most important open problems in machine scheduling is the problem of scheduling a set of jobs on unrelated machines to minimize the makespan. The best known approximation algorithm

Nabben, Reinhard

305

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor  

E-Print Network [OSTI]

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores;Abstract In this work we propose a scheduling and control formulation for simultaneously addressing scheduling and control problems by explicitly incorporating process dy- namics in the form of system

Grossmann, Ignacio E.

306

Opportunistic Scheduling for utility maximization under QoS constraints  

E-Print Network [OSTI]

1 Opportunistic Scheduling for utility maximization under QoS constraints Neung-Hyung Lee, Jin. Our opportunistic scheduling aims at maximizing the utility which is usually expressed as a function of user throughput. In this paper we derive an off-line optimal scheduling policy by optimization theory

Bahk, Saewoong

307

Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems  

E-Print Network [OSTI]

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

Ravindran, Binoy

308

Energy-aware scheduling under reliability and makespan constraints  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

309

Energy-aware scheduling: models and complexity results  

E-Print Network [OSTI]

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

Paris-Sud XI, Universit de

310

PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny  

E-Print Network [OSTI]

Chapter 9 CONDOR AND PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny Department of Computer. This introduces a number of problems, some of which are solved by Condor's preemptive resume scheduling, which is the focus of this paper. Pre- emptive resume scheduling allows jobs to be interrupted while running

Roy, Alain

311

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm *  

E-Print Network [OSTI]

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm * * Supported in part by NSF. In this paper, we present a feedback control real­time scheduling algorithm and its evaluation. Performance}@cs.virginia.edu, + gt9s@virginia.edu Abstract Despite the significant body of results in real­time scheduling, many real

Son, Sang H.

312

Symbolic Scheduling Techniques 1 Ivan Radivojevi c, Forrest Brewer  

E-Print Network [OSTI]

- constrained scheduling which allows speculative operation execution in arbitrary forward-branching control subject to data/control-flow dependencies and resource constraints. Priority- based heuristic scheduling on detection of mutual exclusiveness in control/data-flow graphs (CDFGs). Tree scheduling (TS) [8] uses a tree

Brewer, Forrest D.

313

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi  

E-Print Network [OSTI]

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi and Karl H. Johansson Abstract Optimal sensor scheduling with applications to networked estimation and control systems to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate the network

Johansson, Karl Henrik

314

Queueing-Theoretic Approaches for Dynamic Scheduling: Daria Terekhova  

E-Print Network [OSTI]

, 1999) Scheduling and control of flexible manufacturing sys- tems: a critical review (Basnet and MizeQueueing-Theoretic Approaches for Dynamic Scheduling: A Survey Daria Terekhova , Douglas G. DownbMaster University, Canada downd@mcmaster.ca Within the combinatorial scheduling community, there has been

Down, Doug

315

Constraint-based Scheduling Markus P.J. Fromherz  

E-Print Network [OSTI]

such as product assembly se- quencing. This makes constraint-based scheduling interesting to the control community planning, scheduling, and control tasks. This tutorial gives a brief introduction to constraint and reconfigurable con- trol, and the integration of various planning, scheduling, and control tasks

Fromherz, Markus P.J.

316

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi  

E-Print Network [OSTI]

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi and Hanoch Levy School to other scheduling algorithms. Those algorithms, in contrast, are subject to the burstiness problem. This paper studies the issue of bursty transmission in packet scheduling algo- rithms. We propose the Burst

Levy, Hanoch

317

Design of Gain-Scheduled Strictly Positive Real Controllers  

E-Print Network [OSTI]

Design of Gain-Scheduled Strictly Positive Real Controllers Using Numerical Optimization the linear SPR controllers, which compose the gain-scheduled controller. Second, we formulate the optimization problem associ- ated with the gain-scheduled controller itself. Restricting our in- vestigation

Damaren, Christopher J.

318

Energy Efficient Scheduling with Power Control for Wireless Networks  

E-Print Network [OSTI]

Energy Efficient Scheduling with Power Control for Wireless Networks Bastian Katz Institute the complexity of scheduling with power control in the SINRG model of interference. Based on a novel scheme) and less energy consumption: power control admits schedules that would otherwise violate interference

Paris-Sud XI, Université de

319

Feedback Control RealTime Scheduling: Framework, Modeling, and Algorithms *  

E-Print Network [OSTI]

1 Feedback Control Real­Time Scheduling: Framework, Modeling, and Algorithms * Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real­time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

320

Computing Schedules for Time-Triggered Control using Genetic Algorithms  

E-Print Network [OSTI]

Computing Schedules for Time-Triggered Control using Genetic Algorithms Truong Nghiem Georgios E scheduling problem for timed-triggered controllers (OSTTC) and the time complexity of the corresponding search. Keywords: Scheduling; Digital control; Genetic algorithms; 1. INTRODUCTION Digital control theory

Fainekos, Georgios E.

Note: This page contains sample records for the topic "industrial rate schedule" 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 Cooperative Approach for Job Shop Scheduling under Uncertainties  

E-Print Network [OSTI]

control, consists to use a two-level resolution scheme: an off-line scheduling level builds upA Cooperative Approach for Job Shop Scheduling under Uncertainties C. BRIANDa,1 , S. OURARIb and B on job shop scheduling problems in a cooperative environment. Unlike classical deterministic approaches

Briand, Cyril

322

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY  

E-Print Network [OSTI]

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY JIE LIN*, University of Illinois Institute A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY Abstract This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic Vehicle Location (AVL) devices

Illinois at Chicago, University of

323

Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms*  

E-Print Network [OSTI]

1 Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real-time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

324

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor of Philosophy in Systems and Engineering Management programs prepare competent industrial engineers

Gelfond, Michael

325

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

326

Industry Analysis February 2013  

E-Print Network [OSTI]

technology ­ Clean tech/ clean technology #12;7 Industry Studies · IbisWorld ­ U.S. and global industry-Industries · Biodiesel ­ Biofuel ­ Alternate fuels ­ Green fuels ­ Renewable fuels/energy ­ Green energy ­ Green Canada, Census, Industry Canada, the OECD, European Union, IMF, World Bank, UN . . . Never pay for stats

Abolmaesumi, Purang

327

Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and  

E-Print Network [OSTI]

rotations for this time and have no control over other schools' scheduling processes. wwwUICOM - UC Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and M-4 students. Individual clinical departments arrange other

Gilbert, Matthew

328

Abstract--A simple method is presented to reduce the number of scheduling parameters for gain-scheduled  

E-Print Network [OSTI]

to a zero- parameter or LTI controller design problem in the dimensionless domain. The dimensionless gain-scheduling. Index Terms--Gain scheduling, gantry control, pi theorem, dimensionless parameters, nondimensional representation I. INTRODUCTION AIN scheduling is a popular method to control systems whose linearized model

Brennan, Sean

329

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration ``windows of opportunity`` schedule. The ``windows of opportunity`` schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

330

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration windows of opportunity'' schedule. The windows of opportunity'' schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

331

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

SciTech Connect (OSTI)

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

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

1998-08-01T23:59:59.000Z

332

Robust optimization of dose schedules in radiotherapy  

E-Print Network [OSTI]

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

Badri, Hamidreza; Leder, Kevin

2015-01-01T23:59:59.000Z

333

How One Utility is Building Industrial Consumer Relationships  

E-Print Network [OSTI]

HOW ONE UT1~ITY IS BUILDING INDUSTRIAL CONSUMER RELATIONSHIPS DONALD E. HAMILTON Manager-Industrial Services and Cogeneration Gulf States Utilities Company Beaumont, Texas COMPETITION AND THE UTILITY INDUSTRY The refining and petrochemical... industries enjoyed an unprecedented era of growth beginning with World War II and continuing through the seventies. Electric loads served by gulf coast utilities grew at phenomenal rates. Electric loads at Gulf States Utilities, my Company, grew at a...

Hamilton, D. E.

334

Electric Rate Alternatives to Cogeneration  

E-Print Network [OSTI]

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

Sandberg, K. R. Jr.

335

Adaptable search neighborhoods for Resource Constrained Scheduling  

E-Print Network [OSTI]

dispatching rule. When evaluating the merit of the schedule associated with (L, p), the original data set, ps, is usecl. Three msiu advantages result from the use of these new search spaces. First, problem specific knowledge is incorporated into the search...) dispatching if the perfcrmance is based on completion times (makespsn. or f. . 'ow-tirres), or use earliest-due-date (EDD) dispatching if the performance is due-dste based (tardiness). In order to illustrate the implementation of these concepts, examples...

Balakrishnan, Ramamoorthy

1993-01-01T23:59:59.000Z

336

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs. The document contains the CY 2002 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project.

Bisping, Lynn E.

2002-01-16T23:59:59.000Z

337

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, General Environmental Protection Program: and DOE Order 5400.5, Radiation Protection of the Public and the Environment. The sampling design is described in the Operations Office, Environmental Monitoring Plan, United States Department of Energy, Richland DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY 2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2000 in which case the anticipated year for collection is provided. In addition, a map showing approximate sampling locations is included for each media scheduled for collection.

LE Bisping

2000-01-27T23:59:59.000Z

338

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

E-Print Network [OSTI]

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

339

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY  

E-Print Network [OSTI]

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

Pohl, Karsten

340

Demographics and industry returns  

E-Print Network [OSTI]

Industry category Child care Childrens books Childrens clothing Toysindustry Child care Childrens books Childrens clothing ToysIndustries are associated with high demand by children (child care, toys) and

Pollet, Joshua A.; DellaVigna, Stefano

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial rate schedule" 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

Electrotechnologies in Process Industries  

E-Print Network [OSTI]

The Industrial Program at the Electric Power Research Institute (EPRI) promotes the efficient use of electricity to improve the competitive position of the American industry. Electrotechnologies that improve productivity, improve quality...

Amarnath, K. R.

342

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

343

Geothermal Industry Partnership Opportunities  

Broader source: Energy.gov [DOE]

Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

344

Photovoltaics industry profile  

SciTech Connect (OSTI)

A description of the status of the US photovoltaics industry is given. Principal end-user industries are identified, domestic and foreign market trends are discussed, and industry-organized and US government-organized trade promotion events are listed. Trade associations and trade journals are listed, and a photovoltaic product manufacturers list is included. (WHK)

None

1980-10-01T23:59:59.000Z

345

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

346

INDUSTRIAL AND BIOMEDICAL APPLICATIONS  

E-Print Network [OSTI]

INDUSTRIAL AND BIOMEDICAL APPLICATIONS Frank Smith, Nicholas Ovenden and Richard Purvis University are described, one industrial on violent water-air interaction during an impact process and the other biomedical: industrial, biomedical, impacts, networks, theory, computation, scales. 1. INTRODUCTION It is a pleasure

Purvis, Richard

347

Industrial policy and the Indian electronics industry  

E-Print Network [OSTI]

Recently, production within India's Electronics sector amounted to a low $12 billion when compared to the global output of $1400 billion. The slow growth in the local industry is often judged to be the result of late ...

Love, Robert (Robert Eric)

2008-01-01T23:59:59.000Z

348

Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

INTERACTING WITH THE PHARMACEUTICAL INDUSTRY Stephen R.to interactions with the pharmaceutical industry! This is ancome from the pharmaceutical industry. It is also reality

Hayden, Stephen R

2003-01-01T23:59:59.000Z

349

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

350

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

Rohs, Remo

351

Single-Machine Two-Agent Scheduling Problems with ...  

E-Print Network [OSTI]

Jan 24, 2014 ... Abstract: We address a class of deterministic scheduling problems in which two agents compete for the usage of a single machine. The agents...

Gaia Nicosia

2014-01-24T23:59:59.000Z

352

A hybrid Lagrangean metaheuristic for single machine scheduling ...  

E-Print Network [OSTI]

Aug 8, 2014 ... A hybrid Lagrangean metaheuristic for single machine scheduling problem with sequence-dependent setup times and due dates.

Thiago Henrique Nogueira

2014-08-08T23:59:59.000Z

353

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

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

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

354

Flow Shop Scheduling with Peak Power Consumption Constraints  

E-Print Network [OSTI]

To conduct our experiments, we considered a hypothetical flow shop scheduling ... There are two types of machines with different operations: face milling. 16...

2012-09-23T23:59:59.000Z

355

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

E-Print Network [OSTI]

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

Alireza Soroudi

2013-12-29T23:59:59.000Z

356

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network [OSTI]

Aug 17, 2011 ... Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

Anna Danandeh

2011-08-17T23:59:59.000Z

357

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

E-Print Network [OSTI]

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

Alireza Soroudi

2015-01-03T23:59:59.000Z

358

Water pollution Control Permit Fee Schedules (West Virginia)  

Broader source: Energy.gov [DOE]

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

359

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

National Nuclear Security Administration (NNSA)

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

360

Proposal Submittal and Scheduling Procedures for Research | Stanford...  

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

Proposal Submittal and Scheduling Procedures for Research New Proposals Standard GU Proposals Instructions for New Standard Proposals (Not LOI or Rapid Access) Tips for How to Wow...

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

Energy Savers [EERE]

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

362

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

E-Print Network [OSTI]

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

363

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

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

: PAYROLL AND PAY ADMINISTRATION RECORDS ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS Payrolling and pay administration records pertain to the...

364

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

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

2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 Payrolling and pay administration records...

365

Simulation Optimization for the Stochastic Economic Lot Scheduling ...  

E-Print Network [OSTI]

constant functions as well as control policies that can be described by a small set ... We address the problem of scheduling production of multiple products on a...

2012-01-12T23:59:59.000Z

366

Fast Approximations for Online Scheduling of Outpatient Procedure ...  

E-Print Network [OSTI]

Jun 18, 2014 ... Tuza (1999) on online algorithms for machine scheduling with extendable work time. Based on a fixed ...... control and stochastic programming.

2014-06-18T23:59:59.000Z

367

Scheduling co-operating stacking cranes with predetermined ...  

E-Print Network [OSTI]

Nov 7, 2011 ... Crane scheduling in container terminals is known as a difficult optimization problem .... an overview focussing on design and control issues.

2011-11-19T23:59:59.000Z

368

Oversight Scheduling and Operational Awareness at the Savannah...  

Office of Environmental Management (EM)

Office of Safety and Emergency Management Evaluations Activity Report on Oversight Scheduling and Operational Awareness at the Savannah River Site Dates of Activity : 0325...

369

FLEX TIME (ALTERNATIVE WORK SCHEDULE) REQUEST EMPLOYEE INFORMATION  

E-Print Network [OSTI]

(Hours) Proposed Alternative Work Schedule (Hours) Days On-Site Off-Site On-Site Off-Site Monday Tuesday

Dasgupta, Dipankar

370

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

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

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

371

High School Schedule | The Ames Laboratory  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2M HILLAdministration |BasicResolution,Schedule

372

Energy Exchange Schedule | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y.EnergyDepartment ofSchedule Energy

373

Work Schedules | National Nuclear Security Administration  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption byAbout PrintableBlenderWhatFellowsWood and4213Work Schedules |

374

MGH RADIATION ONCOLOGY REDUCED RATE MULTI-VISIT  

E-Print Network [OSTI]

MGH RADIATION ONCOLOGY REDUCED RATE MULTI-VISIT PARKING PROGRAM MGH Radiation Oncology Parking Programs enable patients undergoing radiation therapy to either self-park as close to the hospital patients currently in a treatment program; radiation therapy patients must have a minimum of two scheduled

Mootha, Vamsi K.

375

EIS-0031: Bonneville Power Administration 1979 Wholesale Rate Increase  

Broader source: Energy.gov [DOE]

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

376

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, ''General Environmental protection Program,'' and DOE Order 5400.5, ''Radiation Protection of the Public and the Environment.'' The sampling methods are described in the Environmental Monitoring Plan, United States Department of Energy, Richland Operations Office, DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY1999 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes the sampling location, sample type, and analyses to be performed on the sample. In some cases, samples are scheduled on a rotating basis and may not be collected in 1999 in which case the anticipated year for collection is provided. In addition, a map is included for each media showing approximate sampling locations.

LE Bisping

1999-02-12T23:59:59.000Z

377

Module 4Module 4 CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5  

E-Print Network [OSTI]

to execute, and then give the control to it If we want efficient resource utilization, we need CPU scheduling preemptive scheduling? DispatcherDispatcher Dispatcher module gives control of the CPU to the process1 Module 4Module 4 ­­ CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading

Stojmenovic, Ivan

378

Industrial Security Specialst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve in a developmental capacity assisting senior specialists in carrying out a variety of industrial security and oversight functions.

379

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

380

Commercial and Industrial Base Intermittent Resource Management Pilot  

E-Print Network [OSTI]

reactive chemicals. Scheduling: Facility processes that are scheduled can be potentially rescheduled to times of lower electricity

Kiliccote, Sila

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

E-Print Network [OSTI]

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

Fernandez, Emmanuel

382

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

Energy Savers [EERE]

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

383

Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks  

E-Print Network [OSTI]

stability region; however, these scheduling strategies also require centralized control. Although [5], [6Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks Prasanna Chaporkar through distributed scheduling in wireless networks. We consider a simple, local information based

Sarkar, Saswati

384

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks  

E-Print Network [OSTI]

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks Min power control and transmis- sion scheduling problem in wireless networks with average power constraints. Index Terms--Network utility maximization, power control, transmission scheduling, column generation I

Sharma, Vinod

385

On Dynamic Scheduling of a Parallel Server System with Partial Pooling  

E-Print Network [OSTI]

proposed and refined by Harrison et al., we approximate the scheduling control problem for this parallel Scheduling of Parallel Servers. Keywords and phrases: Stochastic networks, dynamic control, resource pooling.3 Scheduling Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Sequence

386

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

SciTech Connect (OSTI)

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

Polychronopoulos, Constantine D.

1986-08-01T23:59:59.000Z

387

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

388

Optimal Maintenance Scheduling of a Gas Engine Power Plant  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

389

Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin  

E-Print Network [OSTI]

Incentivizing Advanced Load Scheduling in Smart Homes Ye Xu , and David Irwin , and Prashant Shenoy Department of Electrical and Computer Engineering School of Computer Science University of Massachusetts Amherst ABSTRACT In recent years, researchers have proposed numerous advanced load scheduling algorithms

Massachusetts at Amherst, University of

390

Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

391

FU, CHAO-YING Compiler-Driven Value Speculation Scheduling.  

E-Print Network [OSTI]

ABSTRACT FU, CHAO-YING Compiler-Driven Value Speculation Scheduling. (Under the direction of Prof inputs. #12;COMPILER-DRIVEN VALUE SPECULATION SCHEDULING by CHAO-YING FU A dissertation submitted of Advisory Committee Prof. Paul D. Franzon Prof. Wentai Liu Prof. Eric Rotenberg #12;ii Biography Chao-ying

Conte, Thomas M.

392

Single Machine Scheduling with a Non-renewable Financial Resource  

E-Print Network [OSTI]

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

Magdeburg, Universität

393

Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall  

E-Print Network [OSTI]

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

394

Competitive Non-migratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

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

Wong, Prudence W.H.

395

Competitive Nonmigratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

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

Lam, Tak-Wah

396

A Meeting Scheduling System Based on Open Constraint Programming  

E-Print Network [OSTI]

- ences can be programmed using the OCP reactors language. CLP is suitable to be used in meetingA Meeting Scheduling System Based on Open Constraint Programming Kenny Qili Zhu and Andrew E a meeting scheduling system based on open constraint programming (OCP) paradigm. OCP is an extension

Zhu, Kenny Q.

397

Queue Prediction: an efficient scheduler for fast ATM cell transmission  

E-Print Network [OSTI]

Queue Prediction: an efficient scheduler for fast ATM cell transmission Peter Fenwick Department, if not impossible within the time constraints of fast ATM transmission (622 Mbps or higher). This paper presents a solution to this problem. By scheduling in advance the transmissions from queues it allows all output

Fenwick, Peter

398

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs  

E-Print Network [OSTI]

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

Ha, Soonhoi

399

GreenSlot: Scheduling Energy Consumption in Green Datacenters  

E-Print Network [OSTI]

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

400

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--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel with energy harvesting. We assume that the side information of both the channel states and energy harvesting

Greenberg, Albert

Note: This page contains sample records for the topic "industrial rate schedule" 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

: A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers  

E-Print Network [OSTI]

on M processors any pe- riodic task system with total utilization at most M [2], and the global-deadline-first (EDF) scheduling, pre- emptive and nonpreemptive global EDF scheduling, and two variants of the global-real-time constraints. To our knowledge, this paper is the first attempt by anyone to compare partitioned and global

Anderson, James

402

Polynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1  

E-Print Network [OSTI]

algorithm for computing the minimum energy schedule when all jobs have unit length. 1 Introduction PowerPolynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1 , Marek Chrobak2 policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory

Chrobak, Marek

403

Optimizing Throughput and Energy in Online Deadline Scheduling  

E-Print Network [OSTI]

of all jobs. An optimal schedule is expected to maximize the throughput, and furthermore, its energy a scheduling algorithm, one has to face the dilemma of selecting more jobs and being conservative in energy jobs; O(1)-competitive online algorithms with respect to energy usage have been known [Yao et al. 1995

Wong, Prudence W.H.

404

Industrial Rates and Demand-Side Management Programs  

E-Print Network [OSTI]

), Southwestern Public Service, Southwestern Electric Power, City of Austin, West Texas Utilities, EI Paso Electric, and Texas-New Mexico Power. Wholesale sales by major utilities included in "Others" category. Texas service areas only. Percentages based...,928,250 31.8% Texas Total 49,521 13,804 25.8% 93,847,494 36.9% wI Self-Gen 49,521 17,619 30.7% 119,841042 42.8% Note: Utilities are: TV Electric, Houston Lighting & Power, GulfStates Utilities, Central Power and Light, City Public Service (San Antonio...

Kasprowicz, L. M.; House, R.

405

Property:IndustrialAvgRate | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2 Jump to: navigation,PVYears Jump

406

Balancing Authority Cooperation Concepts - Intra-Hour Scheduling  

SciTech Connect (OSTI)

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

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

2013-03-29T23:59:59.000Z

407

SUMMER-FALL 2011 SCHEDULE Workshops to Improve Industrial Productivity by  

E-Print Network [OSTI]

.html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads To Register August 24 SoCalGas Downey, CA Steam Systems Management Southern California Gas registration August

408

CALENDAR YEARS 2012-3 SCHEDULE Workshops to Improve Industrial Productivity by  

E-Print Network [OSTI]

.html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads by signing up for one or more of these Best Practices Workshops today! Fundamentals of Compressed Air Systems

409

Geothermal industry assessment  

SciTech Connect (OSTI)

An assessment of the geothermal industry is presented, focusing on industry structure, corporate activities and strategies, and detailed analysis of the technological, economic, financial, and institutional issues important to government policy formulation. The study is based principally on confidential interviews with executives of 75 companies active in the field. (MHR)

Not Available

1980-07-01T23:59:59.000Z

410

Growing Hawaii's agriculture industry,  

E-Print Network [OSTI]

Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

411

and Industrial Engineering  

E-Print Network [OSTI]

45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle, Undergraduate Program Director Office: 207C Engineering Lab Building Phone: (413) 545-2505 Head of Department

Mountziaris, T. J.

412

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

413

E-Print Network 3.0 - aware packet scheduling Sample Search Results  

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

packets. Through simulation we show the improved performance of our scheduling algorithm... Flow N Scheduler Queues CPU Handler Packets Leaving Active Node Packets Entering...

414

E-Print Network 3.0 - appointments and schedules Sample Search...  

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

students are required to schedule routine appoint-ments with their respective academic advisor. Summary: All EOFPEPCARR students are required to schedule routine appoint- ments...

415

PARS II End-of-Month Checklist and Processing Schedule | Department...  

Energy Savers [EERE]

and Processing Schedule PARS II End-of-Month Checklist and Processing Schedule Slide 1 More Documents & Publications Slide 1 PMCDPNewsletterOctober2010SHR.pdf October...

416

E-Print Network 3.0 - action scheduling tool Sample Search Results  

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

Lab Collection: Computer Technologies and Information Sciences 62 DesigntoCriteria Scheduling: RealTime Agent Control ? Summary: or the Design-to-Criteria scheduler. The...

417

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

SciTech Connect (OSTI)

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

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

2011-07-12T23:59:59.000Z

418

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

419

Cancer mortality and residence near petrochemical industries in Taiwan  

SciTech Connect (OSTI)

An ecologic study design was used to investigate the relationship between cancer risks and residence in communities adjacent to petrochemical industrial counties (PICs). Directly age-adjusted mortality rates for cancer during 1982-1991 among 16 counties characterized by a heavy concentration of petrochemical industries were compared to rates among 16 matched counties with similar concentration of nonpetrochemical manufacturing industries, urbanization level, and demographic characteristics. An excess rate for liver cancer among males was found in the so-called PICs. The correlation could not be explained by confounding variables such as urbanization, socioeconomic class, or employment in nonpetrochemical industries. No other increased cancer risks were found to be associated with residence near petrochemical industries. 30 refs., 3 tabs.

Yang, Chun-Yuh; Chiu, Hui-Fen; Chiu, Jeng-Fen [Kaohsiung Medical College (Taiwan, Province of China)] [and others

1997-02-21T23:59:59.000Z

420

Posted 3/2/13 Medline Industries Industrial Engineer  

E-Print Network [OSTI]

Posted 3/2/13 Medline Industries ­ Industrial Engineer Medline Industries, Inc. has an immediate opening for an Industrial Engineer for our SPT Division located in Waukegan, IL. We are seeking a hard-working, detail-oriented professional with experience in industrial engineering and lean manufacturing within

Heller, Barbara

Note: This page contains sample records for the topic "industrial rate schedule" 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

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

422

INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited Industrial and Systems Engineering Bachelor of Science 128 units Industrial and Systems Engineering

Rohs, Remo

423

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

424

Using DOE Industrial Energy Audit Data for Utility Program Design  

E-Print Network [OSTI]

. Baltimore Gas & Electric Company BG&E provides natural gas and electric service to central Maryland, serving approximately 1,000,000 residential customers, 100,000 commercial customers, and 3,000 industrial customers. The industrial customers in BG... time-of-use rates, credits for reducing demand during critical periods, and rebates for efficient lighting, motors, and air compressors. In 1992, BG&E also began the design of its Custom Industrial Plant Upgrade Program, intended to provide custom...

Glaser, C. J.; Packard, C. P.; Parfomak, P.

425

Review of tribological sinks in six major industries  

SciTech Connect (OSTI)

Friction and material wear occur throughout all industries and are involved in many processes within each industry. These conditions make assessing tribological activity overall in industry very complex and expensive. Therefore, a research strategy to obtain preliminary information on only the most significant industrial tribological sinks was defined. The industries examined were selected according to both the magnitude of overall energy consumption (particularly machine drive) and the known presence of significant tribological sinks. The six industries chosen are as follows: mining, agriculture, primary metals, chemicals/refining, food, and pulp and paper. They were reviewed to identify and characterize the major tribology sinks. It was concluded that wear losses are greater than friction losses, and that reducing wear rates would improve industrial productivity.

Imhoff, C.H.; Brown, D.R.; Hane, G.J.; Hutchinson, R.A.; Erickson, R.; Merriman, T.; Gruber, T.; Barber, S.

1985-09-01T23:59:59.000Z

426

Quarterly Class Schedule Lee County Extension  

E-Print Network [OSTI]

INDUSTRY BEST MANAGEMENT PRACTICES Stephen Brown, Tom Becker, Joy Hazell This is a required class VOLUNTEER TRAINING Tom Becker The mission of the Lee County Master Gardner program is to train and inspire 533-7512 or email tbecker@leegov.com FLORIDA YARDS AND NEIGHBORHOODS Tom Becker Learn the 9 principles

Hill, Jeffrey E.

427

Energy Responsibility Accounting - An Energy Conservation Tool for Industrial Facilities  

E-Print Network [OSTI]

As energy costs continue to rise faster than the rate of inflation, industrial energy management becomes a more important issue in the control of manufacturing costs. Energy Responsibility Accounting (ERA) is a tool which improves management...

Kelly, R. L.

1980-01-01T23:59:59.000Z

428

Mitigating security issues in the evolving DNA synthesis industry  

E-Print Network [OSTI]

DNA synthesis technologies are advancing at exponential rates, with production of ever longer, more complex, and less expensive sequences of double stranded DNA. This has fostered development of industrial scale design, ...

Turlington, Ralph Donald, III

2013-01-01T23:59:59.000Z

429

An Evaluation of Thermal Storage at Two Industrial Plants  

E-Print Network [OSTI]

Thermal storage offers substantial energy cost savings potential in situations with favorable electrical rates and significant cooling demand. Full storage is usually restricted to facilities occupied only part of the day, but two industrial plants...

Brown, M. L.; Gurta, M. E.

430

Large Industrial Renewable Energy Purchase Program (New Brunswick)  

Broader source: Energy.gov [DOE]

Beginning January 1, 2012 the Large Industrial Renewable Energy Purchase Program allows NB Power to purchase renewable energy generated by its largest customers at a rate of $95/MWh. This...

431

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

SciTech Connect (OSTI)

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

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

2014-09-01T23:59:59.000Z

432

Users from Industry  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduledProductionCCEIResearchStatistics UserUserUserUsers

433

Methods in Industrial Biotechnology for Chemical Engineers  

E-Print Network [OSTI]

In keeping with the definition that biotechnology is really no more than a name given to a set of techniques and processes, the authors apply some set of fuzzy techniques to chemical industry problems such as finding the proper proportion of raw mix to control pollution, to study flow rates, to find out the better quality of products. We use fuzzy control theory, fuzzy neural networks, fuzzy relational equations, genetic algorithms to these problems for solutions. When the solution to the problem can have certain concepts or attributes as indeterminate, the only model that can tackle such a situation is the neutrosophic model. The authors have also used these models in this book to study the use of biotechnology in chemical industries. This book has six chapters. First chapter gives a brief description of biotechnology. Second chapter deals will proper proportion of mix of raw materials in cement industries to minimize pollution using fuzzy control theory. Chapter three gives the method of determination of temperature set point for crude oil in oil refineries. Chapter four studies the flow rates in chemical industries using fuzzy neutral networks. Chapter five gives the method of minimization of waste gas flow in chemical industries using fuzzy linear programming. The final chapter suggests when in these studies indeterminancy is an attribute or concept involved, the notion of neutrosophic methods can be adopted.

W. B. Vasantha Kandasamy; Florentin Smarandache

2008-07-13T23:59:59.000Z

434

Towards a Centralized Scheduling Framework for Communication Flows in Distributed Systems  

E-Print Network [OSTI]

The overall performance of a distributed system is highly dependent on the communication efficiency of the system. Although network resources (links, bandwidth) are becoming increasingly more available, the communication performance of data transfers involving large volumes of data does not necessarily improve at the same rate. This is due to the inefficient usage of the available network resources. A solution to this problem consists of data transfer scheduling techniques, which manage and allocate the network resources in an efficient manner. In this paper we present several online and offline data transfer optimization techniques, in the context of a centrally controlled distributed system.

Andreica, Mugurel Ionut; Tapus, Nicolae; Pop, Florin; Dobre, Ciprian Mihai

2009-01-01T23:59:59.000Z

435

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

E-Print Network [OSTI]

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

Vangala, Harish; Sharma, Prof Vinod

2011-01-01T23:59:59.000Z

436

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

437

Utility and Industrial Partnerships  

E-Print Network [OSTI]

In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

Sashihara, T. F.

438

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

439

Industrial Assessment Center  

SciTech Connect (OSTI)

The University of Dayton (UD) performed energy assessments, trained students and supported USDOE objectives. In particular, the UD Industrial Assessment Center (IAC) performed 96 industrial energy assessment days for mid-sized manufacturers. The average identified and implemented savings on each assessment were $261,080 per year and $54,790 per year. The assessments served as direct training in industrial energy efficiency for 16 UD IAC students. The assessments also served as a mechanism for the UD IAC to understand manufacturing energy use and improve upon the science of manufacturing energy efficiency. Specific research results were published in 16 conference proceedings and journals, disseminated in 22 additional invited lectures, and shared with the industrial energy community through the UD IAC website.

J. Kelly Kissock; Becky Blust

2007-04-17T23:59:59.000Z

440

Industrial Development Fund (North Carolina)  

Broader source: Energy.gov [DOE]

The Industrial Development Fund provides financing grants and loans through designated municipalities and counties to assist in infrastructure improvements for targeted industrial projects. The...

Note: This page contains sample records for the topic "industrial rate schedule" 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

NEMS industrial module documentation report  

SciTech Connect (OSTI)

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

Not Available

1994-01-01T23:59:59.000Z

442

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

E-Print Network [OSTI]

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

Lipari, Giuseppe

443

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

E-Print Network [OSTI]

of the admitted tasks can meet its deadline. A new task will not be admitted unless it passes the schedulability test. Schedulability tests can be either direct or indirect. The utilization based schedulability test is the most common schedulability test approach...

Wu, Jianjia

2007-09-17T23:59:59.000Z

444

Multi-site Scheduling with Fuzzy Concepts Jrgen Sauer, Gerd Suelmann, and Hans-Jrgen Appelrath  

E-Print Network [OSTI]

management, job release, and production control of PPC. In most cases scheduling problems are addressedMulti-site Scheduling with Fuzzy Concepts Jürgen Sauer, Gerd Suelmann, and Hans-Jürgen Appelrath@informatik.uni-oldenburg.de Abstract The objective of multi-site scheduling is to support the scheduling activities of a global

Appelrath, Hans-Jürgen

445

On the Dual Effect in State-Based Scheduling of Networked Control Systems  

E-Print Network [OSTI]

On the Dual Effect in State-Based Scheduling of Networked Control Systems Chithrupa Ramesh, Henrik with state-based scheduling. In general, this makes the optimal scheduler and controller hard to find. However, by removing past controls from the scheduling criterion, we find that certainty equivalence holds

Johansson, Karl Henrik

446

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS OF THEIR WORKLOAD  

E-Print Network [OSTI]

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS areas. The efficient scheduling and control of aircraft from cruise to touchdown during congested the utility of air traffic control (ATC) scheduling but the theoretical advantage of a precision scheduling

447

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control  

E-Print Network [OSTI]

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control Dror G to control the adverse e ect of badly-matched gangs. Consequently the on-line mapping and scheduling, Israel Abstract Gang scheduling | the scheduling of a number of related threads to execute simultaneously

Feitelson, Dror

448

Clean Energy Manufacturing Initiative Industrial Efficiency and...  

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

Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

449

niscent of the early stages of the industrial revolution, when inefficient factories pollut-  

E-Print Network [OSTI]

niscent of the early stages of the industrial revolution, when inefficient factories pollut- ed environment.However,agreenerrevolution is also needed -- a revolution that incorpo- rates accumulated

Wolfe, Cecily J.

450

E-Print Network 3.0 - accidents industrial Sample Search Results  

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

Collection: Computer Technologies and Information Sciences 4 THE RELATIONSHIP BETWEEN TRAIN LENGTH AND ACCIDENT CAUSES AND RATES Summary: . Accidents on yard and industry tracks...

451

Thread Scheduling Mechanisms for Multiple-Context Parallel Processors  

E-Print Network [OSTI]

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

Fiske, James A. Stuart

1995-06-01T23:59:59.000Z

452

Scheduling Smart Home Appliances Using Mixed Integer Linear Programming  

E-Print Network [OSTI]

electricity generation, personal electrical vehicles (PEVs) and distributed electricity generation the wind power's dynamic contribution to electricity generation and the PEVs' random demand of electricity electricity cost scheduling problem of smart home appliances. Operation char- acteristics, such as expected

Johansson, Karl Henrik

453

Optimal Preemptive Scheduling for General Target Functions Leah Epstein  

E-Print Network [OSTI]

on a machine of speed s, its processing time will be w/s. A non- preemptive schedule of the jobs. This case was studied in [11, 10, 6, 12]. Liu and Y

Beimel, Amos

454

Dynamic Scheduling of Skippable Periodic Tasks: Issues and Proposals  

E-Print Network [OSTI]

-Chetto and Audrey Marchand IRCCyN, University of Nantes, Nantes, FRANCE Email: {maryline.chetto, audrey.marchand Scheduling of Skippable Periodic Tasks in Weakly-Hard Real-Time Systems," by M. Silly-Chetto, and A. Marchand

Paris-Sud XI, Université de

455

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

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

456

Time-Slotted Scheduling For Agile All-Photonic Networks  

E-Print Network [OSTI]

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

457

Scheduling to minimize power consumption using submodular functions  

E-Print Network [OSTI]

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

Zadimoghaddam, Morteza

2010-01-01T23:59:59.000Z

458

Analytic framework for TRL-based cost and schedule models  

E-Print Network [OSTI]

Many government agencies have adopted the Technology Readiness Level (TRL) scale to help improve technology development management under ever increasing cost, schedule, and complexity constraints. Many TRL-based cost and ...

El-Khoury, Bernard

2012-01-01T23:59:59.000Z

459

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

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

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

460

A hybrid bin-packing heuristic to multiprocessor scheduling  

E-Print Network [OSTI]

A hybrid bin-packing heuristic to multiprocessor scheduling. Adriana Alvim (alvim ***at*** inf.puc-rio.br) Celso Ribeiro (celso ***at*** inf.puc-rio.br). Abstract: The...

Adriana Alvim

Note: This page contains sample records for the topic "industrial rate schedule" 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.


461

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

E-Print Network [OSTI]

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

2013-08-19T23:59:59.000Z

462

Optimal Design and Scheduling of Unsteady State Material Recovery Networks  

E-Print Network [OSTI]

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

Rabie, Arwa H.

2010-01-14T23:59:59.000Z

463

Hanford Site Environmental Surveillance Master Sampling Schedule, January 2001  

SciTech Connect (OSTI)

This document contains the CY 2001 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2001-01-08T23:59:59.000Z

464

Gain scheduling for geometrically nonlinear flexible space structures  

E-Print Network [OSTI]

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

Yung, Jeremy Hoyt, 1971-

2002-01-01T23:59:59.000Z

465

Forensic Management Academy Spring 2011 Tentative Schedule Forensic Management Academy  

E-Print Network [OSTI]

Forensic Management Academy ­ Spring 2011 Tentative Schedule Forensic Management Academy Spring:00 Tour Forensic Program Facilities 4:30 ­ 7:30 Session VIII Conflict Management Joyce Heames7:00 Free

Mohaghegh, Shahab

466

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

467

Optimization Online - Job-Shop Scheduling in a Body Shop  

E-Print Network [OSTI]

Mar 24, 2011 ... This problem arises from the industrial application of welding in a car body production line, where possible collisions between industrial robots...

Joachim Schauer

2011-03-24T23:59:59.000Z

468

An algorithm for scheduling a large pumped storage plant  

SciTech Connect (OSTI)

The Michigan Electric Coordination Center (MEPCC), operated by Consumers Power and Detroit Edison Companies, has the responsibility for scheduling the Ludington pumped storage plant. Ludington has an extremely large economic effect on the Consumers Power and Detroit Edison Companies' system due to its size (over 1800 MW net demonstrated generating capability). This paper presents a dynamic programming algorithm for scheduling large pumped storage plants and shows how this method can be coordinated with the commitment of the thermal units of the system.

Cohen, A.I.; Wan, S.H.

1985-08-01T23:59:59.000Z

469

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

E-Print Network [OSTI]

­operated. A popular technology to reduce energy usage is to allow variable processor speed, which is commonly known that can vary its speed between 0 and a maximum speed T to minimize its energy usage (of which the rate to maximize the throughput, and fur­ thermore, its energy usage should be the smallest among all schedules

Wong, Prudence W.H.

470

ANALYSIS OF THE CALIFORNIA ENERGY INDUSTRY  

E-Print Network [OSTI]

Geothermal IV. Annual Schedule of Non-Conventional Facilities Retrofit insulation Delamping in commercial buildings Solar heating and cooling

Authors, Various

2010-01-01T23:59:59.000Z

471

Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst  

E-Print Network [OSTI]

9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

Mountziaris, T. J.

472

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take s e n G i n e e r i n G ( i s e ) ISE 105 Introduction to Industrial and Systems Engineering (2, Fa

Rohs, Remo

473

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering

Rohs, Remo

474

1 Industrial Electron Accelerators type ILU for Industrial Technologies  

E-Print Network [OSTI]

1 Industrial Electron Accelerators type ILU for Industrial Technologies The present work describes industrial electron accelerators of the ILU family. Their main parameters, design, principle of action the pulse linear accelerators type ILU are developed and supplied to the industry. The ILU machines

475

MECH 386 INDUSTRIAL FLUID MECHANICS INDUSTRIAL FLUID MECHANICS  

E-Print Network [OSTI]

MECH 386 ­ INDUSTRIAL FLUID MECHANICS 1 INDUSTRIAL FLUID MECHANICS MECH 386 Contact information Dr This course is an introduction to industrial fluid mechanics. According to J. C. R. Hunt (a famous fluid mechanics specialist): "industrial fluid mechanics broadly covers those aspects of the design, manufacture

476

2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.  

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

477

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

E-Print Network [OSTI]

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

Alur, Rajeev

478

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trillion . fHome >

479

New Rate Schedule CV-GID1 UNITED STATES DEPARTMENT OF ENERGY  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andDataNational Libraryornl.gov Ron WalliA Key TargetGID1 UNITED

480

New Rate Schedule CV-UUP1 UNITED STATES DEPARTMENT OF ENERGY  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andDataNational Libraryornl.gov Ron WalliA Key TargetGID1

Note: This page contains sample records for the topic "industrial rate schedule" 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

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power

482

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale Power3-E

483

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

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG |September 15,2015DepartmentDepartment ofSoft Costs »1-E Wholesale

484

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,2372003ofDec. 31 705PC's and5 PC's

485

Property:OpenEI/UtilityRate/DemandChargeWeekdaySchedule | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLs toPublicationDate

486

Property:OpenEI/UtilityRate/DemandWeekdaySchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLs

487

Property:OpenEI/UtilityRate/EnergyWeekdaySchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLsEndDate Jump to:

488

Property:OpenEI/UtilityRate/EnergyWeekendSchedule | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description URLsEndDate Jump

489

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR

490

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR2-B

491

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou knowofPRGMCOR2-B3-B

492

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 <Ones |Laboratory, JuneDid y ou

493

The petrochemical industry in developing Asia  

SciTech Connect (OSTI)

This paper addresses the need for information on the petrochemical industry in Asia in view of the fast-evolving situation of the industry in the region and the growing involvement of the World Bank with operations and studies in a number of Asian countries. It reviews the current trends of the industry with relevance for Asian-based producers and documents the substantial increases in activity and rates of growth of the sector in Asia. The current market situation in seven countries (Republic of Korea, India, China, Thailand, Malaysia and Indonesia) is also reviewed in some detail, including data on consumption, production and installed capacity for key petrochemical products and derivatives. The main issues in each country are summarized.

Vergava, W.; Bebelon, D.

1990-01-01T23:59:59.000Z

494

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

E-Print Network [OSTI]

only between maintenance periods is met. The decision variables not only include the order of the jobs to be scheduled but now also include when the maintenance will be performed. This is not a nivial task. This thesis follows the style and format... FOR GLOBAL SCHEDULING . . . . . . . . 5 . . . . . . 7 . . . 12 17 30 1. Literature Review. . 2. Local Search Techniques . . 3. Genetic Algorithm Fundamentals . . . . . 4. Procedure. 5. Results. . 33 38 . . . 43 49 52 IV CONCLUSION . . 1...

Graves, Gregory Howard

1998-01-01T23:59:59.000Z

495

Industrial Decision Making  

E-Print Network [OSTI]

-05-30 Proceedings from the Thirtieth Industrial Energy Technology Conference, New Orleans, LA, May 6-9, 2008. Figure 1. Average Monthly Industrial Energy Prices (2) - 5 10 15 20 25 J an- 0 0 Ju l -0 0 Ja n- 0 1 Ju l -0 1 Ja n - 02 Ju l -0 2 Ja n - 0 3 Ju l - 0 3... Ja n - 0 4 J u l-04 Ja n - 0 5 Jul - 0 5 J an- 0 6 Jul - 0 6 Ja n- 07 Jul - 0 7 Ener gy Pr ic e ($ /MB t u) Electricity Fuel Oil Natural Gas Coal External market forces also drive industrial investment cycles. In the organic chemical...

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

496

Ancillary-service details: Dynamic scheduling  

SciTech Connect (OSTI)

Dynamic scheduling (DS) is the electronic transfer from one control area to another of the time-varying electricity consumption associated with a load or the time-varying electricity production associated with a generator. Although electric utilities have been using this technique for at least two decades, its use is growing in popularity and importance. This growth is a consequence of the major changes under way in US bulk-power markets, in particular efforts to unbundle generation from transmission and to increase competition among generation providers. DS can promote competition and increase choices. It allows consumers to purchase certain services from entities outside their physical-host area and it allows generators to sell certain services to entities other than their physical host. These services include regulation (following minute-to-minute variations in load) and operating reserves, among others. Such an increase in the number of possible suppliers and customers should encourage innovation and reduce the costs and prices of providing electricity services. The purpose of the project reported here was to collect and analyze data on utility experiences with DS. Chapter 2 provides additional details and examples of the definitions of DS. Chapter 3 explains why DS might be an attractive service that customers and generators, as well as transmission providers, might wan to use. Chapter 4 presents some of the many current DS examples the authors uncovered in their interviews. Chapter 5 discusses the costs and cost-effectiveness of DS. Chapter 6 explains what they believe can and cannot be electronically moved from one control area to another, primarily in terms of the six ancillary services that FERC defined in Order 888. Chapter 7 discusses the need for additional research on DS.

Hirst, E.; Kirby, B.

1997-01-01T23:59:59.000Z

497

Emulsified industrial oils recycling  

SciTech Connect (OSTI)

The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

Gabris, T.

1982-04-01T23:59:59.000Z

498

Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)  

Reports and Publications (EIA)

Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of Annual Energy Outlook 2005 (AEO). In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sector-bulk chemicals and pulp and paper.

2005-01-01T23:59:59.000Z

499

Libyan oil industry  

SciTech Connect (OSTI)

Three aspects of the growth and progress of Libya's oil industry since the first crude oil discovery in 1961 are: (1) relations between the Libyan government and the concessionary oil companies; (2) the impact of Libyan oil and events in Libya on the petroleum markets of Europe and the world; and (3) the response of the Libyan economy to the development of its oil industry. The historical review begins with Libya's becoming a sovereign nation in 1951 and traces its subsequent development into a position as a leading world oil producer. 54 references, 10 figures, 55 tables.

Waddams, F.C.

1980-01-01T23:59:59.000Z

500

1989 Industry Directory  

SciTech Connect (OSTI)

Solid Waste Power's 1989 Industry Directory is divided into three main sections: the Company Directory, the Service Directory, and the Product Directory. The Company Directory lists all companies involved in the waste-to-energy industry that responded to a survey Solid Waste Power conducted in the fall of 1988. Companies are listed alphabetically. Each of the companies in the Company Directory is further referenced in the Service and Product directories follow. The Service and Product directories are broken down into various categories. Within each category is a list of the names of companies identified themselves as providing the service or product. Preceding the Service and Product directories is the Category Index.

Not Available

1998-12-01T23:59:59.000Z