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Note: This page contains sample records for the topic "utility rate schedules" 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

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

6

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

7

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...

8

National Utility Rate Database: Preprint  

SciTech Connect (OSTI)

When modeling solar energy technologies and other distributed energy systems, using high-quality expansive electricity rates is essential. The National Renewable Energy Laboratory (NREL) developed a utility rate platform for entering, storing, updating, and accessing a large collection of utility rates from around the United States. This utility rate platform lives on the Open Energy Information (OpenEI) website, OpenEI.org, allowing the data to be programmatically accessed from a web browser, using an application programming interface (API). The semantic-based utility rate platform currently has record of 1,885 utility rates and covers over 85% of the electricity consumption in the United States.

Ong, S.; McKeel, R.

2012-08-01T23:59:59.000Z

9

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

10

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

11

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...

12

Using Heuristic Algorithms to Effectively Schedule Database Utilities*  

E-Print Network [OSTI]

1 Using Heuristic Algorithms to Effectively Schedule Database Utilities* Zusheng Xu and Patrick systems (DBMSs). Data maintenance utilities ensure that the data in tables are stored as efficiently as possible so executing the utilities is crucial to preventing applications from suffering major performance

13

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

14

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

E-Print Network [OSTI]

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

Ravindran, Binoy

15

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

E-Print Network [OSTI]

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

Ravindran, Binoy

16

Utility-Optimal Scheduling in Time-Varying Wireless Networks with Delay Constraints  

E-Print Network [OSTI]

propose an on-line scheduling policy and prove that it is utility- optimal. Surprisingly, this policy doesUtility-Optimal Scheduling in Time-Varying Wireless Networks with Delay Constraints I-Hong Hou CSL-varying environment, we consider the system problem of maximizing the total utility of clients, where the utilities

17

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...

18

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...

19

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...

20

Asymptotic Cellular Growth Rate as the Effective Information Utilization Rate  

E-Print Network [OSTI]

We study the average asymptotic growth rate of cells in randomly fluctuating environments. Using a game-theoretic perspective, we show that any response strategy has an asymptotic growth rate, which is the sum of: (i) the maximal growth rate at the worst possible distribution of environments, (ii) relative information between the actual distribution of environments to the worst one, and (iii) information utilization rate which is the information rate of the sensory devices minus the "information dissipation rate", the amount of information not utilized by the cell for growth. In non-stationary environments, the optimal strategy is the time average of the instantaneous optimal strategy and the optimal switching times are evenly spaced in the statistical (Fisher) metric.

Pugatch, Rami; Tlusty, Tsvi

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "utility rate schedules" 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

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

22

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand PowerUtility Rate Home

23

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand PowerUtility Rate

24

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRateEZFeedUtility

25

Utility Optimal Scheduling in Energy Harvesting Networks Longbo Huang, Michael J. Neely  

E-Print Network [OSTI]

], etc. However, to take full advantage of the energy har- vesting technology, efficient scheduling referred to as "recycling" energy [5]. This energy har- vesting ability is crucial for many network designUtility Optimal Scheduling in Energy Harvesting Networks Longbo Huang, Michael J. Neely ABSTRACT

Huang, Longbo

26

Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed  

E-Print Network [OSTI]

v v Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed green energy to schedule more batch jobs ­ MapReduce jobs are good as 92% finish within 30min · Terminate MR task when green energy supply drops · Guarantee service jobs meet their performance constraints

Simunic, Tajana

27

Utility Accrual Real-Time Scheduling with Probabilistically Assured Timeliness Performance  

E-Print Network [OSTI]

is a generalization of the classical dead- line constraint, specifies the utility of completing an ap- plicationUtility Accrual Real-Time Scheduling with Probabilistically Assured Timeliness Performance Peng Li Jensen The MITRE Corporation Bedford, MA 01730, USA jensen@mitre.org Abstract We present time/utility

Ravindran, Binoy

28

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

29

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRate Home >

30

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRate Home

31

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRate Homeclean

32

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRate HomecleanEIA

33

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRate

34

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRateEZFeed Type

35

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111JumpandbuildingRateEZFeed

36

Energy-Efficient, Utility Accrual Scheduling under Resource Constraints for Mobile Embedded Systems  

E-Print Network [OSTI]

Corporation Redmond, WA 98052, USA pengli@microsoft.com Abstract We present an energy-efficient, utility voltage scaling (DVS) is a common mechanism studied in the past to save CPU energy [3Energy-Efficient, Utility Accrual Scheduling under Resource Constraints for Mobile Embedded Systems

Ravindran, Binoy

37

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

38

Energy-Efficient, Utility Accrual Scheduling under Resource Constraints for Mobile Embedded Systems  

E-Print Network [OSTI]

@mitre.org ABSTRACT We present an energy-efficient, utility accrual, real-time scheduling algorithm called in the past [16,29]. Saving energy without substantially affecting applica- tion performance is crucial voltage scaling (DVS) is a common mecha- nism studied in the past to save CPU energy [5, 12, 14, 15, 25

Ravindran, Binoy

39

IEEE/ACM TRANS. ON NETWORKING, TO APPEAR 1 Utility Optimal Scheduling in Energy Harvesting  

E-Print Network [OSTI]

IEEE/ACM TRANS. ON NETWORKING, TO APPEAR 1 Utility Optimal Scheduling in Energy Harvesting Networks performance in energy harvesting networks with only finite capacity energy storage devices. In these networks, nodes are capable of harvesting energy from the environment. The amount of energy that can be harvested

Huang, Longbo

40

Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers  

E-Print Network [OSTI]

Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers Baris on using immediately available green energy to supplement the non- renewable, or brown energy at the cost of canceling and rescheduling jobs whenever the green energy availability is too low [16]. In this paper we

Simunic, Tajana

Note: This page contains sample records for the topic "utility rate schedules" 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

Utility Driven Optimization of Real Time Data Broadcast Schedules Rinku Dewria,  

E-Print Network [OSTI]

Utility Driven Optimization of Real Time Data Broadcast Schedules Rinku Dewria, , Indrakshi Rayb of portable computing devices thoroughly embedded in our day-to-day work and personal life. The de- vices addresses: rdewri@cs.du.edu (Rinku Dewri), iray@cs.colostate.edu (Indrakshi Ray), indrajit

Ray, Indrakshi

42

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand Power Jump to:Utility

43

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand PowerUtility

44

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand PowerUtilityAmerican

45

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

46

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand

47

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding

48

Utility Rate Design Revision - A Frisbee Full of Boomerangs  

E-Print Network [OSTI]

Rising electricity prices have prompted investigation of utility rates and proposals for changed in their design. The purpose of this paper is to discuss the current design of electric rates, changes proposed, actual trends, and predictable results...

Dannenmaier, J. H.

1979-01-01T23:59:59.000Z

49

User's guide to SERICPAC: A computer program for calculating electric-utility avoided costs rates  

SciTech Connect (OSTI)

SERICPAC is a computer program developed to calculate average avoided cost rates for decentralized power producers and cogenerators that sell electricity to electric utilities. SERICPAC works in tandem with SERICOST, a program to calculate avoided costs, and determines the appropriate rates for buying and selling of electricity from electric utilities to qualifying facilities (QF) as stipulated under Section 210 of PURA. SERICPAC contains simulation models for eight technologies including wind, hydro, biogas, and cogeneration. The simulations are converted in a diversified utility production which can be either gross production or net production, which accounts for an internal electricity usage by the QF. The program allows for adjustments to the production to be made for scheduled and forced outages. The final output of the model is a technology-specific average annual rate. The report contains a description of the technologies and the simulations as well as complete user's guide to SERICPAC.

Wirtshafter, R.; Abrash, M.; Koved, M.; Feldman, S.

1982-05-01T23:59:59.000Z

50

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand Power Jump

51

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand Power Jumpdeveloper Type

52

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand Power Jumpdeveloper

53

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpand Power

54

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding load Type Term

55

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding load Type

56

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding load TypeGlobal

57

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding load

58

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding loadEnergy

59

Utility Rate | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jumpandbuilding loadEnergyFOA

60

Utility Rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRR HomeDist-WesternUtility

Note: This page contains sample records for the topic "utility rate schedules" 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

Category:Utility Rates | 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 NoPublic Utilities Address: 160Benin:Energy Information on PV Economics By Building Type Jump to:Category Edit

62

Utility Rates | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende NewSowitec do BrasilGmbH Jump to:Rates Home Ewilson's

63

Utility Rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRRUtility Rate Home >

64

Utility Accrual Real-Time Scheduling Under Variable Cost Functions Haisang Wu Umut Balli Binoy Ravindran E. Douglas Jensen  

E-Print Network [OSTI]

Utility Accrual Real-Time Scheduling Under Variable Cost Functions Haisang Wu Umut Balli Binoy,binoy}@vt.edu The MITRE Corporation Bedford, MA 01730, USA jensen@mitre.org Abstract We present a utility accrual real application activities that are subject to time/utility function time constraints, VCFs, and the multi

Ravindran, Binoy

65

A Methodology to Develop Monthly Energy Use Models From Utility Billing Data For Seasonally Scheduled Buildings: Application to Schools  

E-Print Network [OSTI]

A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1998 Major Subject: Mechanical Engineering A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A...

Wang, W.

66

Considering removing "Show Preview" button on utility rate form...  

Open Energy Info (EERE)

Rmckeel's picture Submitted by Rmckeel(297) Contributor 22 April, 2013 - 13:55 Utility Rates I'm considering removing the "Show Preview" button, since it does not work (javascript...

67

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

68

Spacetrack: Trading off Quality and Utilization in Oversubscribed Schedules Andrew M. Sutton and Adele Howe and L. Darrell Whitley  

E-Print Network [OSTI]

. The utilization level of the off- line schedule measures how many tasks are feasibly accom- modated given research these two quantities are independent. This paper introduces a real world problem in which radar resource utilization and a measure of task quality that correlates to whether tasks are ac- tually

Howe, Adele E.

69

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

70

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

71

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

72

Widget:UtilityRateEntryHelper | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to: navigation,UtilityRateEntryHelper Jump

73

Widget:UtilityRateEntryHelperTable | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to: navigation,UtilityRateEntryHelper

74

Widget:UtilityRateFinder | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to:UtilityRateFinder Jump to: navigation,

75

Widget:UtilityRateNamingHelper | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to:UtilityRateFinder Jump to:

76

Widget:UtilityRatesByCompany | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to:UtilityRateFinder Jump

77

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

78

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

79

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.

80

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

82

Ten Ways to Lower Perceived Risk and Finance Rates within Utility...  

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

Ten Ways to Lower Perceived Risk and Finance Rates within Utility Contract Ten Ways to Lower Perceived Risk and Finance Rates within Utility Contract Federal agencies can use the...

83

Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URIInformation Rate

84

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier5Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to: navigation, search This is aInformation Rate

85

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier6Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to: navigation, search This isInformation Rate Jump

86

Property:OpenEI/UtilityRate/DemandRateStructure/Tier1Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URI JumpEnergyInformation Rate

87

Property:OpenEI/UtilityRate/DemandRateStructure/Tier2Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URIInformation Rate Jump to:

88

Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URIInformationInformation Rate

89

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

90

How do I Build Apps with Utility Rate Data (that is continuously...  

Open Energy Info (EERE)

Rate Kch's picture Submitted by Kch(24) Member 23 April, 2012 - 10:31 utility rate web services There's a need among our users to incorporate the electricity rates from the...

91

Slow-Rate Utility-Based Resource Allocation in Wireless Networks  

E-Print Network [OSTI]

a network [6]. Utility-based resource allocation has recently received atten- tion both for wire-line [41 Slow-Rate Utility-Based Resource Allocation in Wireless Networks Peijuan Liu, Randall Berry are specified via a utility function that depends on the received data rate. The allocation of power across

Kuzmanovic, Aleksandar

92

Lodi Electric Utility- Commercial Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Lodi Electric Utility (LEU) offers 3 commercial energy efficiency programs to eligible customers. Available incentives are based upon the customer rate schedule. Each program has separate incentive...

93

System average rates of U.S. investor-owned electric utilities : a statistical benchmark study  

E-Print Network [OSTI]

Using multiple regression methods, we have undertaken a statistical "benchmark" study comparing system average electricity rates charged by three California utilities with 96 other US utilities over the 1984-93 time period. ...

Berndt, Ernst R.

1995-01-01T23:59:59.000Z

94

Utility-Customer Rate Negotiations Blackmail or Compromise?  

E-Print Network [OSTI]

Ion is cogeneration, where the fuel supplier can increase market share at the expense of the electric utility. There are also absorption chillers that do the same. And there are electric options that go after a fuel supplier's loads. These include heat pumps..., microwave, radIo frequency, infrared and others. There are load shaping options to reduce the cost of purchased commodities. The most obvious of these is cold water or ice based thermal storage. In these cases, the electric utility usually will have a...

Gilbert, J. S.

95

Guidance on Utility Rate Estimations and Weather Normalization...  

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

and Weather Normalization in an ESPC Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's)...

96

Widget:UtilityRateEntryHelperVideo | 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 NoPublic Utilities Address: 160 East 300 South Place:ReferenceEdit Jump to:

97

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

98

Method for enhancing microbial utilization rates of gases using perfluorocarbons  

DOE Patents [OSTI]

A method of enhancing the bacterial reduction of industrial gases using perfluorocarbons (PFCs) is disclosed. Because perfluorocarbons (PFCs) allow for a much greater solubility of gases than water does, PFCs have the potential to deliver gases in higher concentrations to microorganisms when used as an additive to microbial growth media thereby increasing the rate of the industrial gas conversion to economically viable chemicals and gases.

Turick, Charles E. (Idaho Falls, ID)

1997-01-01T23:59:59.000Z

99

Method for enhancing microbial utilization rates of gases using perfluorocarbons  

DOE Patents [OSTI]

A method of enhancing the bacterial reduction of industrial gases using perfluorocarbons (PFCs) is disclosed. Because perfluorocarbons (PFCs) allow for a much greater solubility of gases than water does, PFCs have the potential to deliver gases in higher concentrations to microorganisms when used as an additive to microbial growth media thereby increasing the rate of the industrial gas conversion to economically viable chemicals and gases. 3 figs.

Turick, C.E.

1997-06-10T23:59:59.000Z

100

Utility Rate - Q & A | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRR HomeDist-Western INLoanRate

Note: This page contains sample records for the topic "utility rate schedules" 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

Heart Rate Dynamics in Patients With Stable Angina Pectoris and Utility of  

E-Print Network [OSTI]

Heart Rate Dynamics in Patients With Stable Angina Pectoris and Utility of Fractal and Complexity- ties in heart rate (HR) behavior that are not easily de- tectable with conventional statistical.05). The short-term fractal scaling ex- ponent performed better than other heart rate variability parameters

102

Ten Ways to Lower Perceived Risk and Finance Rates within Utility Contract  

Broader source: Energy.gov [DOE]

Federal agencies can use the following 10 methods during project negotiations to lower perceived project risk and finance rates to get the best value from utility energy service contracts (UESCs).

103

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

104

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

105

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:

106

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

107

arXiv:1308.0623v1[physics.bio-ph]2Aug2013 Asymptotic Cellular Growth Rate as the Effective Information Utilization Rate  

E-Print Network [OSTI]

Information Utilization Rate R. Pugatch,1 N. Barkai,2 and T. Tlusty1 1 School of Natural Sciences, Simons

Tlusty, Tsvi

108

Public Utility Regulatory Policies Act of 1978: Natural Gas Rate Design Study  

SciTech Connect (OSTI)

First, the comments on May 3, 1979 Notice of Inquiry of DOE relating to the Gas Utility Rate Design Study Required by Section 306 of PURPA are presented. Then, comments on the following are included: (1) ICF Gas Utility Model, Gas Utility Model Data Outputs, Scenario Design; (2) Interim Model Development Report with Example Case Illustrations; (3) Interim Report on Simulation of Seven Rate Forms; (4) Methodology for Assessing the Impacts of Alternative Rate Designs on Industrial Energy Use; (5) Simulation of Marginal-Cost-Based Natural Gas Rates; and (6) Preliminary Discussion Draft of the Gas Rate Design Study. Among the most frequent comments expressed were the following: (a) the public should be given the opportunity to review the final report prior to its submission to Congress; (b) results based on a single computer model of only four hypothetical utility situations cannot be used for policy-making purposes for individual companies or the entire gas industry; (c) there has been an unobjective treatment of traditional and economic cost rate structures; the practical difficulties and potential detrimental consequences of economic cost rates are not fully disclosed; and (d) it is erroneous to assume that end users, particularly residential customers, are influenced by price signals in the rate structure, as opposed to the total bill.

None

1980-05-01T23:59:59.000Z

109

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

110

Avista Utilities (Gas)- Prescriptive Commercial Incentive Program  

Broader source: Energy.gov [DOE]

Avista Utilities offers Natural Gas saving incentives to commercial customers on rate schedule 420 and 424. This program provides rebates for a variety of equipment and appliances including cooking...

111

Understanding Utility Rates or How to Operate at the Lowest $/BTU  

E-Print Network [OSTI]

. The lower the energy rating (KW/Ton or KW/HP or KW/BTU) the more efficient the equipment and the less demand draw on the electric power plants, thereby reducing the need to build new power plants. To encourage DSM, utilities give rebates for high...: Bob Allwein, Oklahoma Natural Gas Company. Dick Landry, Gulf States Utility. Curtis Williford, Entex Gas Company. Bret McCants, Central Power and Light Company. Frank Tanner, Southern Union. Patric Coon, West Texas utilities. ESL-IE-93...

Phillips, J. N.

112

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier6Sell | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to: navigation, search This isInformation Rate

113

Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Adjustment | Open  

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,ContAddr2NumberOfPrograms Jump to:URIInformation Rate Jump to:Energy

114

Property:OpenEI/UtilityRate/DemandRateStructure/Tier3Max | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump to:URIInformation Rate Jump

115

Property:OpenEI/UtilityRate/DemandRateStructure/Tier4Adjustment | Open  

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,ContAddr2NumberOfPrograms Jump to:URIInformation RateEnergy

116

Rate impacts and key design elements of gas and electric utility decoupling: a comprehensive review  

SciTech Connect (OSTI)

Opponents of decoupling worry that customers will experience frequent and significant rate increases as a result of its adoption, but a review of 28 natural gas and 17 electric utilities suggests that decoupling adjustments are both refunds to customers as well as charges and tend to be small. (author)

Lesh, Pamela G.

2009-10-15T23:59:59.000Z

117

Nationwide Utility Rates Available on OpenEI | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBus JumpEnvironmentalNationwide Utility Rates

118

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

119

NREL/Ventyx Utility Rates: What is included? | OpenEI Community  

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 revision hasInformation Earth's HeatMexico: EnergyMithun JumpMuscoy, California:NewNREL/Ventyx Utility Rates:

120

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

122

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

123

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

124

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

125

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

126

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

127

backfed from utility-interactive PV inverters. This equation expresses this ratings requirement  

E-Print Network [OSTI]

-interactive photovoltaic (PV) system and the electrical utility grid is an area of importance to PV system designers and installers. Due to the varying sizes of PV systems and configurations of existing service-entrance equipment, these connections vary significantly among PV systems. Differences in Section 690.64 of the 2005 and 2008 editions

Johnson, Eric E.

128

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

129

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

130

Announcing New Utility Rate Database and API Features! | OpenEI Community  

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 NoPublic Utilities Address: 160 East 300Algoil JumpAltergyExperiments |AnhuiAnnetta, Texas: Energy Resources

131

Category:Utility Rate Impacts on PV Economics By Building Type | Open  

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 NoPublic Utilities Address: 160Benin:Energy Information on PV Economics By Building Type Jump to: navigation,

132

Category:Utility Rate Impacts on PV Economics By Location | 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 NoPublic Utilities Address: 160Benin:Energy Information on PV Economics By Building Type Jump to:

133

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

134

Utility Rates API Version 2 is Live! | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRRUtility Rate Home >Rates

135

Utilizing Distributed Temperature Sensors in Predicting Flow Rates in Multilateral Wells  

E-Print Network [OSTI]

and pressure data to determine the flow rate in real time out of a multilateral well. Temperature and pressure changes are harder to predict in horizontal laterals compared with vertical wells because of the lack of variation in elevation and geothermal...

Al Mulla, Jassim Mohammed A.

2012-07-16T23:59:59.000Z

136

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

137

Utility Rate Structures and the Impact of Energy Efficiency and Renewable Projects  

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 Access toDeploymentRate Structures and

138

Utility rate change propagation is now much faster | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRRUtility Rate Home

139

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...

140

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

Note: This page contains sample records for the topic "utility rate schedules" 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

Hualapai Tribal Utility Development Project  

SciTech Connect (OSTI)

The first phase of the Hualapai Tribal Utility Development Project (Project) studied the feasibility of establishing a tribally operated utility to provide electric service to tribal customers at Grand Canyon West (see objective 1 below). The project was successful in completing the analysis of the energy production from the solar power systems at Grand Canyon West and developing a financial model, based on rates to be charged to Grand Canyon West customers connected to the solar systems, that would provide sufficient revenue for a Tribal Utility Authority to operate and maintain those systems. The objective to establish a central power grid over which the TUA would have authority and responsibility had to be modified because the construction schedule of GCW facilities, specifically the new air terminal, did not match up with the construction schedule for the solar power system. Therefore, two distributed systems were constructed instead of one central system with a high voltage distribution network. The Hualapai Tribal Council has not taken the action necessary to establish the Tribal Utility Authority that could be responsible for the electric service at GCW. The creation of a Tribal Utility Authority (TUA) was the subject of the second objective of the project. The second phase of the project examined the feasibility and strategy for establishing a tribal utility to serve the remainder of the Hualapai Reservation and the feasibility of including wind energy from a tribal wind generator in the energy resource portfolio of the tribal utility (see objective 2 below). It is currently unknown when the Tribal Council will consider the implementation of the results of the study. Objective 1 - Develop the basic organizational structure and operational strategy for a tribally controlled utility to operate at the Tribes tourism enterprise district, Grand Canyon West. Coordinate the development of the Tribal Utility structure with the development of the Grand Canyon West Power Project construction of the power infrastructure at Grand Canyon West. Develop the maintenance and operations capacity necessary to support utility operations. Develop rates for customers on the Grand Canyon West mini-grid sufficient for the tribal utility to be self-sustaining. Establish an implementation strategy for tribal utility service at Grand Canyon West Objective 2 - Develop a strategy for tribal utility takeover of electric service on the Reservation. Perform a cost analysis of Reservation electrical service. Develop an implementation strategy for tribal takeover of Reservation electrical service. Examine options and costs associated with integration of the Tribes wind resources.

Hualapai Tribal Nation

2008-05-25T23:59:59.000Z

142

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

E-Print Network [OSTI]

area utilities, groundskeeping services, and repairs and maintenance of the Laureate Court complex. Tenants pay for their own utilities (i.e., electricity, gas, water, telephone and cable services). A $750

California at Santa Cruz, University of

143

Estimation of the Optimal Brachytherapy Utilization Rate in the Treatment of Gynecological Cancers and Comparison With Patterns of Care  

SciTech Connect (OSTI)

Purpose: We aimed to estimate the optimal proportion of all gynecological cancers that should be treated with brachytherapy (BT)-the optimal brachytherapy utilization rate (BTU)-to compare this with actual gynecological BTU and to assess the effects of nonmedical factors on access to BT. Methods and Materials: The previously constructed inter/multinational guideline-based peer-reviewed models of optimal BTU for cancers of the uterine cervix, uterine corpus, and vagina were combined to estimate optimal BTU for all gynecological cancers. The robustness of the model was tested by univariate and multivariate sensitivity analyses. The resulting model was applied to New South Wales (NSW), the United States, and Western Europe. Actual BTU was determined for NSW by a retrospective patterns-of-care study of BT; for Western Europe from published reports; and for the United States from Surveillance, Epidemiology, and End Results data. Differences between optimal and actual BTU were assessed. The effect of nonmedical factors on access to BT in NSW were analyzed. Results: Gynecological BTU was as follows: NSW 28% optimal (95% confidence interval [CI] 26%-33%) compared with 14% actual; United States 30% optimal (95% CI 26%-34%) and 10% actual; and Western Europe 27% optimal (95% CI 25%-32%) and 16% actual. On multivariate analysis, NSW patients were more likely to undergo gynecological BT if residing in Area Health Service equipped with BT (odds ratio 1.76, P=.008) and if residing in socioeconomically disadvantaged postcodes (odds ratio 1.12, P=.05), but remoteness of residence was not significant. Conclusions: Gynecological BT is underutilized in NSW, Western Europe, and the United States given evidence-based guidelines. Access to BT equipment in NSW was significantly associated with higher utilization rates. Causes of underutilization elsewhere were undetermined. Our model of optimal BTU can be used as a quality assurance tool, providing an evidence-based benchmark against which actual patterns of practice can be measured. It can also be used to assist in determining the adequacy of BT resource allocation.

Thompson, Stephen R., E-mail: stephen.thompson@sesiahs.health.nsw.gov.au [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia); Department of Radiation Oncology, Prince of Wales Hospital, Sydney (Australia); University of New South Wales, Sydney (Australia); Delaney, Geoff P. [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia) [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia); University of New South Wales, Sydney (Australia); University of Western Sydney, Sydney (Australia); Gabriel, Gabriel S. [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia) [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia); University of New South Wales, Sydney (Australia); Jacob, Susannah; Das, Prabir [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia)] [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia); Barton, Michael B. [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia) [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney (Australia); University of New South Wales, Sydney (Australia)

2013-02-01T23:59:59.000Z

144

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

145

Cogeneration - A Utility Perspective  

E-Print Network [OSTI]

are discussed from a utility perspective as how they influence utility participation in future projects. The avoided cost methodology is examined, and these payments for sale of energy to the utility are compared with utility industrial rates. In addition...

Williams, M.

1983-01-01T23:59:59.000Z

146

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...

147

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

148

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

149

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

150

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

151

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

152

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

153

ENHANCED GROWTH RATE AND SILANE UTILIZATION IN AMORPHOUS SILICON AND NANOCRYSTALLINE-SILICON SOLAR CELL DEPOSITION VIA GAS PHASE ADDITIVES  

SciTech Connect (OSTI)

Air Products set out to investigate the impact of additives on the deposition rate of both ???µCSi and ???±Si-H films. One criterion for additives was that they could be used in conventional PECVD processing, which would require sufficient vapor pressure to deliver material to the process chamber at the required flow rates. The flow rate required would depend on the size of the substrate onto which silicon films were being deposited, potentially ranging from 200 mm diameter wafers to the 5.7 m2 glass substrates used in GEN 8.5 flat-panel display tools. In choosing higher-order silanes, both disilane and trisilane had sufficient vapor pressure to withdraw gas at the required flow rates of up to 120 sccm. This report presents results obtained from testing at Air Products?¢???? electronic technology laboratories, located in Allentown, PA, which focused on developing processes on a commercial IC reactor using silane and mixtures of silane plus additives. These processes were deployed to compare deposition rates and film properties with and without additives, with a goal of maximizing the deposition rate while maintaining or improving film properties.

Ridgeway, R.G.; Hegedus, S.S.; Podraza, N.J.

2012-08-31T23:59:59.000Z

154

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

155

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

156

Multi-piconet Formation to Increase Channel Utilization in IEEE 802.15.3 High-Rate WPAN  

E-Print Network [OSTI]

.15.3 WPAN. 1 Introduction Recently, we have witnessed a noticeable increase of personal devices. The devices physical cables. Wireless Personal Area Networks (WPANs) can con- nect various personal devices within}@ece.skku.ac.kr {jsd, hslee75, tgkwon, chojw}@keti.re.kr Abstract. IEEE 802.15.3 high-rate Wireless Personal Area

Lee, Tae-Jin

157

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...

158

Effects of resource acquisitions on electric-utility shareholders  

SciTech Connect (OSTI)

The purpose of this study is to see how shareholders fare when the utility acquires different kinds of resources. The resources considered are utility-built, -operated, and -owned power plants with different combinations of construction and operation costs; purchases of power; and DSM programs. We calculated the net present value of realized (cash) return on equity as the primary factor used to represent shareholder interests. We examined shareholder returns for these resources as functions of public utility commission regulation, taxes, and the utility`s operating environment. Our treatment of regulation considers the frequency and type (future vs historic test year) of rate cases, inclusion of construction work in progress in ratebase vs allowance for funds used during construction, ratebase vs expensing of DSM programs, book and tax depreciation schedules, possible disallowances of ``excess`` power-plant or DSM capital costs, and possible lack of adjustment for ``excess`` fuel or purchased power costs. The tax policies we studied include the existence and rates for property, sales, and income taxes and the existence and regulatory treatment of deferred taxes. The utility`s operating environment includes the overall inflation rate, load-growth rate, escalation in nonproduction expenses, and nongeneration construction (capital) requirements. Finally, given the increasingly competitive nature of electricity markets, we briefly considered alternatives to traditional cost-of-service regulation. We examined shareholder returns for the resources described above in an environment where the utility competes with other suppliers solely on the basis of electricity price.

Hirst, E.; Hadley, S.

1994-05-01T23:59:59.000Z

159

Estimation of Optimal Brachytherapy Utilization Rate in the Treatment of Malignancies of the Uterine Corpus by a Review of Clinical Practice Guidelines and the Primary Evidence  

SciTech Connect (OSTI)

Purpose: Brachytherapy (BT) is an important treatment technique for uterine corpus malignancies. We modeled the optimal proportion of these cases that should be treated with BT-the optimal rate of brachytherapy utilization (BTU). We compared this optimal BTU rate with the actual BTU rate. Methods and Materials: Evidence-based guidelines and the primary evidence were used to construct a decision tree for BTU for malignancies of the uterine corpus. Searches of the literature to ascertain the proportion of patients who fulfilled the criteria for BT were conducted. The robustness of the model was tested by sensitivity analyses and peer review. A retrospective Patterns of Care Study of BT in New South Wales for 2003 was conducted, and the actual BTU for uterine corpus malignancies was determined. The actual BTU in other geographic areas was calculated from published reports. The differences between the optimal and actual rates of BTU were assessed. Results: The optimal uterine corpus BTU rate was estimated to be 40% (range, 36-49%). In New South Wales in 2003, the actual BTU rate was only 14% of the 545 patients with uterine corpus cancer. The actual BTU rate in 2001 was 11% in the Surveillance, Epidemiology, and End Results areas and 30% in Sweden. Conclusion: The results of this study have shown that BT for uterine corpus malignancies is underused in New South Wales and in the Surveillance, Epidemiology, and End Results areas. Our model of optimal BTU can be used as a quality assurance tool, providing an evidence-based benchmark against which can be measured actual patterns of practice. It can also be used to assist in determining the adequacy of BT resource allocation.

Thompson, Stephen R. [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney, NSW (Australia); Department of Radiation Oncology, Prince of Wales Hospital, Sydney, NSW (Australia); University of New South Wales, Sydney, NSW (Australia)], E-mail: stephen.thompson@sesiahs.health.nsw.gov.au; Delaney, Geoff [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney, NSW (Australia); University of New South Wales, Sydney, NSW (Australia); Gabriel, Gabriel S.; Jacob, Susannah; Das, Prabir [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney, NSW (Australia); Barton, Michael [Collaboration for Cancer Outcomes Research and Evaluation, Liverpool Hospital, Sydney, NSW (Australia); University of New South Wales, Sydney, NSW (Australia)

2008-11-01T23:59:59.000Z

160

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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.

162

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

163

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

164

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:...

165

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

166

Rate making for Electric Utilities  

E-Print Network [OSTI]

of a given size in Texas may be dif ferent from that of a same size town in Massachusetts. This growing demand depends upon two factors: The educating of the people to the use of electricity for light and power, and the probable growth...

Hanson, Carl Falster

1911-01-01T23:59:59.000Z

167

: 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

168

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

169

Interconnection of on-site photovoltaic generation to the electric utility. [Conference paper  

SciTech Connect (OSTI)

Electrical interconnection with the local electric utility of small, privately owned, on-site photovoltaic generating systems will be necessary. Legal guidelines exist through PURPA, administered by FERC, to establish interconnection, but economic viability will be the deciding factor in constructing photovoltaic generating systems. Although nationally recognized technical standards do not yet exist for interconnecting photovoltaic generation with an electric utility, most utilities have considered the need for developing cogeneration standards, and a few have developed such standards independently. Additional costs incurred by utilities in providing service interconnections to customers with cogeneration will be passed along to those customers, either as a direct assessment or as part of the applicable rate schedule. An economic-analysis methodology has been developed to allow comparing various possible photovoltaic-generating-system configurations under different utility rate structures and varying economic climates on a consistent basis.

Eichler, C.H.; Kilar, L.A.; Stiller, P.H.

1980-01-01T23:59:59.000Z

170

Power Sales to Electric Utilities  

SciTech Connect (OSTI)

The Public Utilities Regulatory Policies Act (PURPA) of 1979 requires that electrical utilities interconnect with qualifying facilities and purchase electricity at a rate based upon their full avoided costs (i.e., costs of providing both capacity and energy). Qualifying facilities (QF) include solar or geothermal electric units, hydropower, municipal solid waste or biomass-fired power plants, and cogeneration projects that satisfy maximum size, fuel use, ownership, location, and/or efficiency criteria. In Washington State, neither standard power purchase prices based upon a proxy ''avoided plant'', standard contracts, or a standard offer process have been used. Instead, a variety of power purchase contracts have been negotiated by developers of qualifying facilities with investor-owned utilities, public utility districts, and municipally-owned and operated utilities. With a hydro-based system, benefits associated with resource acquisition are determined in large part by how compatible the resource is with a utility's existing generation mix. Power purchase rates are negotiated and vary according to firm energy production, guarantees, ability to schedule maintenance or downtime, rights of refusal, power plant purchase options, project start date and length of contract; front-loading or levelization provisions; and the ability of the project to provide ''demonstrated'' capacity. Legislation was also enacted which allows PURPA to work effectively. Initial laws established ownership rights and provided irrigation districts, PUDs, and municipalities with expanded enabling powers. Financial processes were streamlined and, in some cases, simplified. Finally, laws were passed which are designed to ensure that development proceeds in an environmentally acceptable manner. In retrospect, PURPA has worked well within Washington. In the state of Washington, 20 small-scale hydroelectric projects with a combined generating capacity of 77 MW, 3 solid waste-to-energy facilities with 55 MW of electrical output, 4 cogeneration projects with 34.5 MW of generating capability, and 4 wastewater treatment facility digester gas-to-energy projects with 5 MW of electrical production have come on-line (or are in the final stages of construction) since the passage of PURPA. These numbers represent only a small portion of Washington's untapped and underutilized cogeneration and renewable resource generating potentials. [DJE-2005

None

1989-02-01T23:59:59.000Z

171

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...

172

Extraction Utility Design Specification  

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

Activity Collect contractor current and baseline activity information from contractor scheduling tool to populate the Access Template Schedule Activity Table enabling schedule...

173

Global scheduling on temperature-constrained multiprocessor real-time systems  

E-Print Network [OSTI]

-optimal) ERfair scheduling in order to reduce thermal stress and therefore increase the processor utilization. Then, we show that the proposed algorithm and reactive scheme can enhance the processor utilization compared with any constant speed scheme on real...

Koo, Ja-Ryeong

2008-10-10T23:59:59.000Z

174

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

175

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,

176

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

177

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

178

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

179

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

180

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

182

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

183

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

184

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

185

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

186

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

187

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

188

Utility Metering- AGL Resources  

Broader source: Energy.gov [DOE]

Presentationgiven at the Spring 2013 Federal Utility Partnership Working Group (FUPWG) meetingdiscusses AGL Resources metering, including interruptible rate customers, large users, and meeting federal metering goals.

189

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.

190

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

191

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

192

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

193

Mandatory Utility Green Power Option  

Broader source: Energy.gov [DOE]

All electric utilities operating in Iowa, including those not rate-regulated by the Iowa Utilities Board (IUB), are required to offer green power options to their customers. These programs allow...

194

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

195

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

196

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

197

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

198

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

199

Scheduling for Quality of Service based Service Di erentiation Saswati Sarkar 1 and Leandros Tassiulas 2  

E-Print Network [OSTI]

Scheduling for Quality of Service based Service Di#11;erentiation Saswati Sarkar 1 and Leandros, College Park, leandros@isr.umd.edu #3; Address all correspondence to Saswati Sarkar We consider a utility

Sarkar, Saswati

200

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.

Note: This page contains sample records for the topic "utility rate schedules" 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

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

202

Property:OpenEI/UtilityRate/Utility | 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 JumpSourceParentPage.

203

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...

204

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

205

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

206

Residential Solar Valuation Rates  

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

Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

207

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.

208

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

209

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...

210

OpenEI Community - Utility Rates  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBusPFAN)ChangeOnPAC EnergyperMulticolor Maps

211

OpenEI Community - utility rate  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBusPFAN)ChangeOnPACen 2014Version 2 is Live!

212

Utility Rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende NewSowitec do BrasilGmbH Jump to:

213

utility rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende NewSowitec doWinvest Home Jweers's pictureroadmap Home1:14

214

Utility Rate Database | 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:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401UpsonUtah StateLoadingGrant Program Jump to:Jump to:

215

Utility Rate Discount | 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:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401UpsonUtah StateLoadingGrant Program Jump to:Jump

216

Utility Rate Discounts | 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:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401UpsonUtah StateLoadingGrant Program Jump

217

Utility Rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRR

218

GeOx/Reduced Graphene Oxide Composite as an Anode for Li-ion Batteries: Enhanced Capacity via Reversible Utilization of Li2O along with Improved Rate Performance  

SciTech Connect (OSTI)

A self-assembled GeOx/reduced graphene oxide (GeOx/RGO) composite, where GeOx nanoparticles were grown directly on reduced graphene oxide sheets, was synthesized via a facile one-step reduction approach and studied by X-ray diffraction, transmission electron microscopy, energy dispersive X-ray spectroscopy, electron energy loss spectroscopy elemental mapping, and other techniques. Electrochemical evaluation indicates that incorporation of reduced graphene oxide enhances both the rate capability and reversible capacity of GeOx, with the latter being due to the RGO enabling reversible utilization of Li2O. The composite delivers a high reversible capacity of 1600 mAhg-1 at a current density of 100 mAg-1, and still maintains a capacity of 410 mAhg-1 at a high current density of 20 Ag-1. Owing to the flexible reduced graphene oxide sheets enwrapping the GeOx particles, the cycling stability of the composite was also improved significantly. To further demonstrate its feasibility in practical applications, the synthesized GeOx/RGO composite anode was successfully paired with a high voltage LiNi0.5Mn1.5O4 cathode to form a full cell, which showed good cycling and rate performance.

Lv, Dongping; Gordin, Mikhail; Yi, Ran; Xu, Terrence (Tianren); Song, Jiangxuan; Jiang, Yingbing; Choi, Daiwon; Wang, Donghai

2014-09-01T23:59:59.000Z

219

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

E-Print Network [OSTI]

Preventive Maintenance Scheduling in Semiconductor Manufacturing Systems: Software Tool and Simulation Case of a preventive maintenance optimization software tool (PMOST), based on algorithms for the optimal scheduling of the PM optimization algorithms utilized by PMOST. Index Terms--Optimal preventive maintenance (PM

Fernandez, Emmanuel

220

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

SciTech Connect (OSTI)

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

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

2014-12-24T23:59:59.000Z

Note: This page contains sample records for the topic "utility rate schedules" 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

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

222

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)...

223

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)...

224

Utility Formation  

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 Ferromagnetism inS-4500II Field EmissionFunctional MaterialsRobertUtility-Formation

225

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.

226

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

227

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

228

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

229

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

230

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

231

Electric Utilities and Electric Cooperatives (South Carolina)  

Broader source: Energy.gov [DOE]

This legislation authorizes the Public Service Commission to promulgate regulations related to investor owned utilities in South Carolina, and addresses service areas, rates and charges, and...

232

Extraction Utility Design Specification  

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

for importing EVM, Schedule, Management Reserve, and Variance Analysis Report data from contractor source systems into the DOE PARS II CPP Upload Template. 7 1.3 Scope...

233

Federal Utility Partnership Working Group Utility Partners  

Broader source: Energy.gov [DOE]

Federal Utility Partnership Working Group (FUPWG) utility partners are eager to work closely with Federal agencies to help achieve energy management goals.

234

features Utility Generator  

E-Print Network [OSTI]

#12;#12;#12;#12;features function utility Training Pool Utility Generator Per-frame function content utility classes utility classes utility Tree Decision Generator Module Utility Clustering Adaptive Content Classification Loop features content VO selection & Utility Selector content features Real

Chang, Shih-Fu

235

Project: UAF Utilities Waste Line Repairs Ch6 to Ch13 Project No: 2013101 UTWH  

E-Print Network [OSTI]

Project: UAF Utilities Waste Line Repairs Ch6 to Ch13 Project No: 2013101 UTWH Subject: Project Schedule Project Duration: May 27 to August 10, 2014 The sewer line will be constructed in phases

Ickert-Bond, Steffi

236

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

237

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

238

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.

239

Utilization Analysis Page 1 UTILIZATION ANALYSIS  

E-Print Network [OSTI]

Utilization Analysis Page 1 UTILIZATION ANALYSIS Section 46a-68-40 and HIRING/PROMOTION GOALS utilized in the Health Center's workforce, the numbers of protected classes in the workforce must conducted for each occupational category and position classification. The Utilization Analysis was performed

Oliver, Douglas L.

240

utility functions scaling profiles utility-fair  

E-Print Network [OSTI]

bandwidth utility functions scaling profiles utility-fair I. INTRODUCTION The emerging MPEG-4 video. This can result in a significant increase in the utilization of network capacity [1]. These techniques. Bandwidth utility functions [9] can be used to characterize an application's capability to adapt over

Chang, Shih-Fu

Note: This page contains sample records for the topic "utility rate schedules" 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

Utility Monitor September 2010  

E-Print Network [OSTI]

Utility Monitor September 2010 Why monitor utility syntax? Enforce and Maintain Company-Wide DB2 Utility Standards. Jennifer Nelson Product Specialist, Rocket Software © 2010 IBM Corporation © 2010............................................................................................................... iv 1 Why Monitor DB2 Utility Syntax

242

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

243

NET PRED UTILITY  

Energy Science and Technology Software Center (OSTI)

002602IBMPC00 Normalized Elution Time Prediction Utility http://omics.pnl.gov/software/NETPredictionUtility.php

244

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

245

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

246

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:

247

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

248

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,...

249

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...

250

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...

251

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...

252

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

253

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

254

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

255

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

256

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

257

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

258

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

259

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.

260

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

262

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

263

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:

264

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

265

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

266

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

267

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

268

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

269

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

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

282

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

283

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

284

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

285

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

286

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

287

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

288

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

289

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

290

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.

291

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

292

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

293

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

294

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

295

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

296

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

297

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

298

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

299

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

300

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

302

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

303

Innovative Rates Program. Final report  

SciTech Connect (OSTI)

Title II of the Energy Conservation and Production Act (ECPA) as amended by the Public Utility Regulatory Policies Act (PURPA) provided financial assistance to state utility regulatory commissions, nonregulated electric utilities, and the Tennessee Valley Authority through the Innovative Rates Program. The financial assistance was to be used to plan or carry out electric utility regulatory rate reform initiatives relating to innovative rate structures that encourage conservation of energy, electric utility efficiency and reduced costs, and equitable rates to consumers. The Federal and local objectives of the project are described. Activities planned and accomplishments are summarized for the following: project management, data collection, utility bill evaluation, billing enclosure/mailing evaluation, media program evaluation, display evaluation, rate study sessions evaluation, speakers bureau evaluation, and individual customer contacts. A timetable/milestone chart and financial information are included. (MHR)

Not Available

1982-06-21T23:59:59.000Z

304

Utility Theory Social Intelligence  

E-Print Network [OSTI]

Utility Theory Social Intelligence Daniel Polani Utility Theory ­ p.1/15 Utilities: Motivation Consider: game scenario For Instance: 2-or-more players Necessary: development of concept for utilities decisions sequential decisions (time) games Utility The Prototypical Scenario Consider: agent that can take

Polani, Daniel

305

CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency  

E-Print Network [OSTI]

@mitre.org ABSTRACT We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA, making it a prime target for energy saving in past efforts. Dynamic voltage scaling (DVS) is a common mechanism em- ployed in the past to trade CPU's energy consumption for per- formance (see [2, 12, 14

Ravindran, Binoy

306

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

E-Print Network [OSTI]

Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling hydroelectric (PG&E) is one of the largest producers of hydroelectricity among American investor-owned utilities. PG of the hydroelectricity used in Northern California. A number of other entities also own hydroelectric facilities

Morton, David

307

Title of thesis: SCHEDULING IN ENERGY HARVESTING SYSTEMS WITH HYBRID ENERGY STORAGE  

E-Print Network [OSTI]

ABSTRACT Title of thesis: SCHEDULING IN ENERGY HARVESTING SYSTEMS WITH HYBRID ENERGY STORAGE and Computer Engineering In wireless networks, efficient energy storage and utilization plays a vital role transmission with an energy harvesting trans- mitter which has hybrid energy storage with a perfect super

Ulukus, Sennur

308

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

309

A Case Study of Danville Utilities: Utilizing Industrial Assessment...  

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

A Case Study of Danville Utilities: Utilizing Industrial Assessment Centers to Provide Energy Efficiency Resources for Key Accounts A Case Study of Danville Utilities: Utilizing...

310

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

311

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

312

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

313

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

314

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...

315

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...

316

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...

317

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

318

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

319

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

320

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

Note: This page contains sample records for the topic "utility rate schedules" 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

Cedar Falls Utilities- Residential New Construction Program  

Broader source: Energy.gov [DOE]

Cedar Falls Utilities offers incentives to residential customers who construct new energy efficient homes. A rate discount of 25% is available to customers who meet the 5 Star Home Program criteria...

322

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.

323

City of Tallahassee Utilities- Efficiency Loans  

Broader source: Energy.gov [DOE]

The City of Tallahassee Utilities offers loans with an interest rate of 5% for 29 different energy-saving measures, including energy-efficient central air conditioning units, windows, doors,...

324

River Falls Municipal Utilities- Distributed Solar Tariff  

Broader source: Energy.gov [DOE]

River Falls Municipal Utilities (RFMU), a member of WPPI Energy, offers a special energy purchase rate to its customers that generate electricity using solar photovoltaic (PV) systems. The special...

325

City of Tallahassee Utilities- Solar Loans  

Broader source: Energy.gov [DOE]

The City of Tallahassee Utilities offers loans with an interest rate of 5% for a variety of energy-saving measures, including photovoltaic (PV) systems and solar water-heating systems. Under this...

326

Bryan Texas Utilities- SmartHOME Program  

Broader source: Energy.gov [DOE]

The Bryan Texas Utilities (BTU) SmartHOME Programs offers incentives to owners of single- and multi-family homes for insulation, windows, and solar screens. The incentive rate is set at $900/kW...

327

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...

328

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

329

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

330

Natural Gas Utility Restructuring and Customer Choice Act (Montana)  

Broader source: Energy.gov [DOE]

These regulations apply to natural gas utilities that have restructured in order to acquire rate-based facilities. The regulations address customer choice offerings by natural gas utilities, which...

331

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

332

Utility Solar Generation Valuation Methods  

SciTech Connect (OSTI)

Tucson Electric Power (TEP) developed, tested and verified the results of a new and appropriate method for accurately evaluating the capacity credit of time variant solar generating sources and reviewed new methods to appropriately and fairly evaluate the value of solar generation to electric utilities. The project also reviewed general integrated approaches for adequately compensating owners of solar generation for their benefits to utilities. However, given the limited funding support and time duration of this project combined with the significant differences between utilities regarding rate structures, solar resource availability and coincidence of solar generation with peak load periods, it is well beyond the scope of this project to develop specific rate, rebate, and interconnection approaches to capture utility benefits for all possible utilities. The project developed computer software based evaluation method models to compare solar generation production data measured in very short term time increments called Sample Intervals over a typical utility Dispatch Cycle during an Evaluation Period against utility system load data. Ten second resolution generation production data from the SGSSS and actual one minute resolution TEP system load data for 2006 and 2007, along with data from the Pennington Street Garage 60 kW DC capacity solar unit installed in downtown Tucson will be applied to the model for testing and verification of the evaluation method. Data was provided by other utilities, but critical time periods of data were missing making results derived from that data inaccurate. The algorithms are based on previous analysis and review of specific 2005 and 2006 SGSSS production data. The model was built, tested and verified by in house TEP personnel. For this phase of the project, TEP communicated with, shared solar production data with and collaborated on the development of solar generation valuation tools with other utilities, including Arizona Public Service, Salt River Project, Xcel and Nevada Power Company as well as the Arizona electric cooperatives. In the second phase of the project, three years of 10 second power output data of the SGSSS was used to evaluate the effectiveness of frequency domain analysis, normal statistical distribution analysis and finally maximum/minimum differential output analysis to test the applicability of these mathematic methods in accurately modeling the output variations produced by clouds passing over the SGSSS array.

Hansen, Thomas N.; Dion, Phillip J.

2009-06-30T23:59:59.000Z

333

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

334

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...

335

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

336

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

337

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

338

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

339

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.

340

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

Note: This page contains sample records for the topic "utility rate schedules" 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

Southwestern Federal Power System combined financial statements and supplemental schedules for the years ended September 30, 1994 and 1993  

SciTech Connect (OSTI)

The Southwestern Federal Power System encompasses the operation of 24 hydroelectric power plants by the US Army Corps of Engineers and the marketing of power and energy from those plants by Southwestern Power Administration of the US Department of Energy. To integrate the operation of these hydroelectric generating plants and to transmit power from the dams to its customers, Southwestern Power Administration (Southwestern) maintains 2,220 kilometers (1,380 miles) of high-voltage transmission lines, 24 substations, and 46 microwave and VHF radio sites. Southwestern`s headquarters are in Tulsa, Oklahoma; its dispatch center is in Springfield, Missouri; and its maintenance crews are based in Jonesboro, Arkansas, in Gore and Tupelo, Oklahoma, and in Springfield, Missouri. Three divisions - Administration and Rates, Power Marketing and Delivery, and Maintenance - are responsible for meeting Southwestern`s mission. Twelve of the 24 generating plants are scheduled directly by Southwestern, and a total of 19 contribute to the interconnected system operations. Generation at the five remaining projects (Denison, Narrows, Sam Rayburn, Whitney, and Willis) is used to serve specific customer loads. At the end of fiscal year 1994, Southwestern marketed power and energy to 10 generation and transmission cooperatives, one distribution cooperative, three military installations, 41 municipal utilities, and three municipal utility joint-action agencies. One of the joint-action agencies has its own allocation of power from Southwestern; the other two serve 34 municipal utilities to whom Southwestern has allocated power. The total number of power allocation customers is 92. Additionally, excess energy is occasionally sold to non-allocation utilities. The primary purposes of Southwestern are to market Federally generated hydroelectric power, operate a reliable and safe transmission system, and encourage energy efficiency for the benefit of the region.

Marwick, P.

1994-12-31T23:59:59.000Z

342

Avista Utilities- Net Metering  

Broader source: Energy.gov [DOE]

Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net...

343

Mississippi Public Utility Act  

Broader source: Energy.gov [DOE]

The Mississippi Public Utility Act is relevant to any project that plans to generate energy. It requires that a utility must first obtain a Certificate of Public Convenience and Necessity (CPCN)...

344

GSA- Utility Interconnection Agreements  

Broader source: Energy.gov [DOE]

Presentation given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

345

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

346

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...

347

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...

348

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...

349

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...

350

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.

351

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...

352

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

353

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

354

Property:OpenEI/UtilityRate/DemandRateStructure/Tier5Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms Jump

355

Property:OpenEI/UtilityRate/DemandRateStructure/Tier6Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms JumpEnergy InformationInformation

356

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier1Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfPrograms JumpEnergyDemandWindow

357

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier2Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfProgramsInformation

358

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier3Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2NumberOfProgramsInformationInformation

359

Property:OpenEI/UtilityRate/EnergyRateStructure/Tier4Rate | 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 CenterFranconia, Virginia: Energy ResourcesLoadingPenobscotInformation Max Jump to: navigation, search This is a property of

360

Lassen Municipal Utility District- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Lassen Municipal Utility District (LMUD) offers an incentive for residential customers who purchase and install efficient lighting, HVAC equipment and ENERGY STAR rated appliances for eligible...

Note: This page contains sample records for the topic "utility rate schedules" 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

Elk River Municipal Utilities- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

[http://www.elkriverutilities.com/index.php Elk River Municipal Utilities] provides rebates to their residential electric customers who purchase and install Energy Star rated appliances and HVAC...

362

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

363

Commissioner Catherine J.K. Sandoval California Public Utilities Commission  

E-Print Network [OSTI]

Reform: Rate Setting · CPUC approves utility rates and rate design · AB 327 repeals statutory limitations rates, rate design, CARE discount for low-income customers · Promote energy efficiency for low income Department (CSD) resources · Consider and document health and safety outcomes, as well as societal benefits

364

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

365

"List of Covered Electric Utilities" under the Public Utility...  

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

6 Revised "List of Covered Electric Utilities" under the Public Utility Regulatory Policies Act of 1978 (PURPA) - 2006 Revised Under Title I of the Public Utility Regulatory...

366

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

367

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

368

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

369

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 -

370

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

371

How to determine a good multi-programming level for external scheduling Bianca Schroeder Mor Harchol-Balter Adam Wierman  

E-Print Network [OSTI]

Heights, NY USA @us.ibm.com Abstract Scheduling/prioritization of DBMS transactions is im not all DBMS resources will be utilized. On the other hand, if the MPL is too high, there is insufficient. For such applications it is often desirable to control the order in which transactions are exe- cuted at the DBMS. An e

Low, Steven H.

372

How to determine a good multi-programming level for external scheduling Bianca Schroeder Mor Harchol-Balter  

E-Print Network [OSTI]

Heights, NY USA @us.ibm.com Abstract Scheduling/prioritization of DBMS transactions is im not all DBMS resources will be utilized. On the other hand, if the MPL is too high, there is insufficient. For such applications it is often desirable to control the order in which transactions are exe- cuted at the DBMS. An e

Schroeder, Bianca

373

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

374

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

375

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

376

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

377

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

378

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...

379

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...

380

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

382

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

383

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

384

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.

385

Generalized utility metrics for supercomputers  

E-Print Network [OSTI]

2007:112 Generalized utility metrics for supercomputers 12.ISSUE PAPER Generalized utility metrics for supercomputersproblem of ranking the utility of supercom- puter systems

Strohmaier, Erich

2009-01-01T23:59:59.000Z

386

Urban tree maintenance scheduling: a case study using Fort Worth's METRIS geo data base  

E-Print Network [OSTI]

completed maintenance jobs was utilized to perform a series of statistical analyses and form linear regression equations which are capable of predicting or estimating labor hours required for each individual job. These estimates of labor hours... of the Problem. Objectives. LITERATURE REVIEW Urban Tree Information Systems. Impacts of Computerized Urban Tree Informa- tion Systems and Scheduling PROCEDURES. 10 Estimation or Prediction of Labor Hours Required for Each Management Need Data Input...

Mirenda, Joseph Salvatore

1981-01-01T23:59:59.000Z

387

Utility Service Renovations  

Broader source: Energy.gov [DOE]

Any upgrade to utility service provides an opportunity to revisit a Federal building's electrical loads and costs, but it also may provide an economic way to bundle the upgrade with an onsite renewable electricity project during renovation. Upgrading utility service to the site may involve improving or adding a transformer, upgrading utility meters, or otherwise modifying the interconnection equipment or services with the utility. In some cases, the upgrade may change the tariff structure for the facility and may qualify the property for a different structure with lower overall costs. In all cases, the implementation of renewable energy technologies should be identified during the design phase.

388

Utility Data Collection Service  

Broader source: Energy.gov [DOE]

Presentation covers the utility data collection service and is given at the FUPWG 2006 Spring meeting, held on May 3-4, 2006 in Atlanta, Georgia.

389

Joint Electrical Utilities (Iowa)  

Broader source: Energy.gov [DOE]

Cities may establish utilities to acquire existing electric generating facilities or distribution systems. Acquisition, in this statute, is defined as city involvement, and includes purchase, lease...

390

Utility Regulation (Indiana)  

Broader source: Energy.gov [DOE]

The Indiana Utility Regulatory Commission enforces regulations in this legislation that apply to all individuals, corporations, companies, and partnerships that may own, operate, manage, or control...

391

Utility Energy Service Contracts  

Broader source: Energy.gov [DOE]

Utility energy service contracts (UESCs) offer Federal agencies an effective means to implement energy-efficiency, renewable-energy, and water-efficiency projects.

392

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.

393

Municipal Utility Districts (Texas)  

Broader source: Energy.gov [DOE]

Municipal Utility Districts, regulated by the Texas Commission on Environmental Quality, may be created for the following purposes: (1) the control, storage, preservation, and distribution of its...

394

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

395

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

396

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

397

YEAR 2 BIOMASS UTILIZATION  

SciTech Connect (OSTI)

This Energy & Environmental Research Center (EERC) Year 2 Biomass Utilization Final Technical Report summarizes multiple projects in biopower or bioenergy, transportation biofuels, and bioproducts. A prototype of a novel advanced power system, termed the high-temperature air furnace (HITAF), was tested for performance while converting biomass and coal blends to energy. Three biomass fuels--wood residue or hog fuel, corn stover, and switchgrass--and Wyoming subbituminous coal were acquired for combustion tests in the 3-million-Btu/hr system. Blend levels were 20% biomass--80% coal on a heat basis. Hog fuel was prepared for the upcoming combustion test by air-drying and processing through a hammer mill and screen. A K-Tron biomass feeder capable of operating in both gravimetric and volumetric modes was selected as the HITAF feed system. Two oxide dispersion-strengthened (ODS) alloys that would be used in the HITAF high-temperature heat exchanger were tested for slag corrosion rates. An alumina layer formed on one particular alloy, which was more corrosion-resistant than a chromia layer that formed on the other alloy. Research activities were completed in the development of an atmospheric pressure, fluidized-bed pyrolysis-type system called the controlled spontaneous reactor (CSR), which is used to process and condition biomass. Tree trimmings were physically and chemically altered by the CSR process, resulting in a fuel that was very suitable for feeding into a coal combustion or gasification system with little or no feed system modifications required. Experimental procedures were successful for producing hydrogen from biomass using the bacteria Thermotoga, a deep-ocean thermal vent organism. Analytical procedures for hydrogen were evaluated, a gas chromatography (GC) method was derived for measuring hydrogen yields, and adaptation culturing and protocols for mutagenesis were initiated to better develop strains that can use biomass cellulose. Fly ash derived from cofiring coal with waste paper, sunflower hulls, and wood waste showed a broad spectrum of chemical and physical characteristics, according to American Society for Testing and Materials (ASTM) C618 procedures. Higher-than-normal levels of magnesium, sodium, and potassium oxide were observed for the biomass-coal fly ash, which may impact utilization in cement replacement in concrete under ASTM requirements. Other niche markets for biomass-derived fly ash were explored. Research was conducted to develop/optimize a catalytic partial oxidation-based concept for a simple, low-cost fuel processor (reformer). Work progressed to evaluate the effects of temperature and denaturant on ethanol catalytic partial oxidation. A catalyst was isolated that had a yield of 24 mole percent, with catalyst coking limited to less than 15% over a period of 2 hours. In biodiesel research, conversion of vegetable oils to biodiesel using an alternative alkaline catalyst was demonstrated without the need for subsequent water washing. In work related to biorefinery technologies, a continuous-flow reactor was used to react ethanol with lactic acid prepared from an ammonium lactate concentrate produced in fermentations conducted at the EERC. Good yields of ester were obtained even though the concentration of lactic acid in the feed was low with respect to the amount of water present. Esterification gave lower yields of ester, owing to the lowered lactic acid content of the feed. All lactic acid fermentation from amylose hydrolysate test trials was completed. Management activities included a decision to extend several projects to December 31, 2003, because of delays in receiving biomass feedstocks for testing and acquisition of commercial matching funds. In strategic studies, methods for producing acetate esters for high-value fibers, fuel additives, solvents, and chemical intermediates were discussed with several commercial entities. Commercial industries have an interest in efficient biomass gasification designs but are waiting for economic incentives. Utility, biorefinery, pulp and paper, or o

Christopher J. Zygarlicke

2004-11-01T23:59:59.000Z

398

Alternative Regulation for North American Electric Utilities  

SciTech Connect (OSTI)

After a decade of favorable operating conditions, utilities find themselves faced with accelerating prices for key inputs and a growing need for new capacity. These pressures are likely to prompt increasingly frequent, and perhaps more contentious, rate cases. Steady progress in the development of alternative regulation provides hope that the utility industry will respond to these challenges much better than in 1975-85. (author)

Lowry, Mark Newton; Kaufmann, Lawrence

2006-06-15T23:59:59.000Z

399

By-Products Utilization  

E-Print Network [OSTI]

clean coal technology, are not extensively utilized in the cast concrete masonry products (bricks both conventional and clean coal technologies. A clean coal ash is defined as the ash derived from SO2Center for By-Products Utilization USE OF CLASS F FLY ASH AND CLEAN-COAL ASH BLENDS FOR CAST

Wisconsin-Milwaukee, University of

400

By-Products Utilization  

E-Print Network [OSTI]

combustion by-products #12;3 generated by using both conventional and clean-coal technologies. A clean-coal that obtained from clean-coal technology, are not utilized in cast-concrete masonry products (bricks, blocksCenter for By-Products Utilization RECENT ADVANCES IN RECYCLING CLEAN- COAL ASH By Tarun R. Naik

Wisconsin-Milwaukee, University of

Note: This page contains sample records for the topic "utility rate schedules" 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

WOOD PRODUCTS AND UTILIZATION  

E-Print Network [OSTI]

WOOD PRODUCTS AND UTILIZATION V #12;#12;443USDA Forest Service Gen. Tech. Rep. PSW-GTR-160. 1997. Section Overview Wood Products and Utilization1 John R. Shelly2 Forests are obviously a very important asset to California, and their economic and social value to the state is well documented. Wood

Standiford, Richard B.

402

By-Products Utilization  

E-Print Network [OSTI]

Center for By-Products Utilization USE OF CLASS F FLY ASH AND CLEAN-COAL ASH BLENDS FOR CAST OF CLASS F FLYASHAND CLEAN-COAL ASHBLENDS FOR CAST CONCRETE PRODUCTS Authors: TarunR.Naik, Director, Center,Illinois Clean Coal Institute RudolphN.Kraus, Research Associate, UWM Center forBy-Products Utilization Shiw S

Wisconsin-Milwaukee, University of

403

By-Products Utilization  

E-Print Network [OSTI]

Center for By-Products Utilization CLEAN COAL BY-PRODUCTS UTILIZATION IN ROADWAY, EMBANKMENTS-fueled plants, particularly use of eastern coals, has lead to the use of clean coal and using advanced sulfur dioxide control technologies. Figure 1 shows clean coal technology benefits(2) . In 1977, the concept

Wisconsin-Milwaukee, University of

404

By-Products Utilization  

E-Print Network [OSTI]

-Milwaukee, P.O. Box 784, Milwaukee, WI 53201 d Project Manager, Illinois Clean Coal Institute * Director UWM products containing clean coal ash compared to conventional coal ash. Utilization of clean coal ash is much products that utilize clean coal ash. With increasing federal regulations on power plant emissions, finding

Wisconsin-Milwaukee, University of

405

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

406

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.

407

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

408

UTILITY","UTILITY_NAME","SCHEDULE","LINENO","AMOUNT","DESCRIPTION  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual DownloadReserves20,798

409

UTILITY_ID","UTILITY_NAME","SCHEDULE","LINENO","AMOUNT","DESCRIPTION  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API4,1,4240,21827,0,5616,29915,0,1043,8086,0,,,0,10899,59829,03,1,10626475,"Electric Operating

410

UTILITY_ID","UTILITY_NAME","SCHEDULE","LINENO","AMOUNT","DESCRIPTION  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API4,1,4240,21827,0,5616,29915,0,1043,8086,0,,,0,10899,59829,03,1,10626475,"Electric

411

Integrating Solar PV in Utility System Operations  

SciTech Connect (OSTI)

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

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

2013-10-31T23:59:59.000Z

412

SAGEWASP. Optimal Electric Utility Expansion  

SciTech Connect (OSTI)

SAGE-WASP is designed to find the optimal generation expansion policy for an electrical utility system. New units can be automatically selected from a user-supplied list of expansion candidates which can include hydroelectric and pumped storage projects. The existing system is modeled. The calculational procedure takes into account user restrictions to limit generation configurations to an area of economic interest. The optimization program reports whether the restrictions acted as a constraint on the solution. All expansion configurations considered are required to pass a user supplied reliability criterion. The discount rate and escalation rate are treated separately for each expansion candidate and for each fuel type. All expenditures are separated into local and foreign accounts, and a weighting factor can be applied to foreign expenditures.

Clark, P.D.II; Ullrich, C.J. [Lakeland Electric and Water, FL (United States)

1989-10-10T23:59:59.000Z

413

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

414

Utility Access Questionnaire | Utility Access Questionnaire  

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 NoPublic Utilities Address: 160 East 300 South Place: Salt Lake City, Utah Zip: 84111Jump to:Access Questionnaire

415

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

416

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

417

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

418

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

419

By-Products Utilization  

E-Print Network [OSTI]

International Conference onFly Ash Disposal and Utilization,onJanuary 20-22, 1998, New Delhi, India. COAL ASH and embankments, pavement and subbase courses, subgrade stabilizations, landfill cover, soil improvement, land

Wisconsin-Milwaukee, University of

420

Supervisory Public Utilities Specialist  

Broader source: Energy.gov [DOE]

The incumbent of this position serves as a Supervisory Public Utilities Specialist in the Long Term Power Planning Group that is part of Power Servicess Generation Asset Management, Power &...

Note: This page contains sample records for the topic "utility rate schedules" 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

Extraction Utility Design Specification  

Energy Savers [EERE]

Extraction Utility Design Specification January 11, 2011 Document Version 1.9 1 Revision History Date Version Section and Titles Author Summary of Change January 15, 2010 1.0 All...

422

Gas Utilities (New York)  

Broader source: Energy.gov [DOE]

This chapter regulates natural gas utilities in the State of New York, and describes standards and procedures for gas meters and accessories, gas quality, line and main extensions, transmission and...

423

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.

424

utilities.scm  

E-Print Network [OSTI]

;;; Some utility functions (define (negative-abs m) ;; m can be big, so we'll try to be nice here (if (abs_m m) ;; returns smallest p...

425

Public Utilities (Florida)  

Broader source: Energy.gov [DOE]

Chapter 366 of the Florida Statutes governs the operation of public utilities, and includes a section pertaining to cogeneration and small power production (366.051). This section establishes the...

426

Public Utilities Act (Illinois)  

Broader source: Energy.gov [DOE]

This act aims to make energy services in the state reliable and efficient, while preserving the quality if the environment. It states the duties of public utilities in terms of accounts and reports...

427

By-Products Utilization  

E-Print Network [OSTI]

Center for By-Products Utilization DRAFT REPORT CARBON DIOXIDE SEQUESTRATION IN CEMENTITIOUS-MILWAUKEE #12;CARBON DIOXIDE SEQUESTRATION IN CEMENTITIOUS PRODUCTS Progress Report by Tarun R. Naik, Rakesh of Carbon Dioxide Sequestration Technologies

Wisconsin-Milwaukee, University of

428

By-Products Utilization  

E-Print Network [OSTI]

-Products Utilization E-mail: ymchun@uwm.edu and F. D. Botha Project Manager, Illinois Clean Coal Institute 5776 Coal, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. 4 Project Manager, Illinois Clean Coal Institute

Wisconsin-Milwaukee, University of

429

Utility Easements (Indiana)  

Broader source: Energy.gov [DOE]

A permit is required from the Indiana Department of Natural Resources for the construction of a utility upon a state park, a state forest, a state game preserve, land acquired by the state and set...

430

Gas Utilities (Maine)  

Broader source: Energy.gov [DOE]

Rules regarding the production, sale, and transfer of manufactured gas will also apply to natural gas. This section regulates natural gas utilities that serve ten or more customers, more than one...

431

Utility theory front to back inferring utility from agents' choices  

E-Print Network [OSTI]

Utility theory front to back ­ inferring utility from agents' choices A. M. G. Cox Dept to utility theory and consumption & investment problems. Instead of specifying an agent's utility function) and ask if it is possible to derive a utility function for which the observed behaviour is optimal. We

432

Asymptotic utility-based pricing and hedging for exponential utility  

E-Print Network [OSTI]

Asymptotic utility-based pricing and hedging for exponential utility Jan Kallsen Christian deals with pricing and hedging based on utility indifference for exponential utility. We consider order approximation the utility indifference price and the corresponding hedge can be determined from

Kallsen, Jan

433

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

434

"List of Covered Electric Utilities" under the Public Utility...  

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

8 "List of Covered Electric Utilities" under the Public Utility Regulatory Policies Act of 1978 (PURPA) - 2008 Under Title I of the Public Utility Regulatory Policies Act of 1978...

435

"List of Covered Electric Utilities" under the Public Utility...  

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

9 "List of Covered Electric Utilities" under the Public Utility Regulatory Policies Act of 1978 (PURPA) - 2009 Under Title I, Sec. 102(c) of the Public Utility Regulatory Policies...

436

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

437

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.

438

Trends in Utility Green Pricing Programs (2004)  

SciTech Connect (OSTI)

In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, nearly 600 utilities in regulated electricity markets--or almost 20% of all utilities nationally--provide their customers a "green power" option. Because some utilities offer programs in conjunction with cooperative associations or other publicly owned power entities, the number of distinct programs totals about 125. Through these programs, more than 40 million customers spanning 34 states have the ability to purchase renewable energy to meet some portion or all of their electricity needs--or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2004 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities as benchmarks by which to gauge the success of their green power programs.

Bird, L.; Brown, E.

2005-10-01T23:59:59.000Z

439

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

440

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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.

442

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.

443

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

444

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

445

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

446

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

447

The Impacts of Commercial Electric Utility Rate Structure Elements...  

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

FERC Presendation: Demand Response as Power System Resources, October 29, 2010 Retail Demand Response in Southwest Power Pool Future Power Systems 21 - The Smart Customer...

448

Recent content in Utility Rate | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar PowerstoriesNrelPartnerType Jump to:Co JumpRETScreenJam Home Name

449

Help:Utility Rate Data Entry | 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 Resources Jump to: navigation,Ohio:Greer CountyCorridorPartImages Jump to: navigation,Entry Jump to:

450

Historic utility retail rate information | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power BasicsGermany: EnergyPowerInformation RhodeWest Energy,Historic

451

Evaluation Ratings Definitions (Excluding Utilization of Small Business)  

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) "ofEarly Career Scientists'Montana.Program -DepartmentNovember 1, 2010December 1,Goals Chapter 42.15 - Attachment

452

Utility Rate API v2 | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire AddressGRR HomeDist-Western

453

Front-end utility rate updates | OpenEI Community  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (SmartHomeFremont, California:Climate

454

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

455

Final Report on DOE Project entitled Dynamic Optimized Advanced Scheduling of Bandwidth Demands for Large-Scale Science Applications  

SciTech Connect (OSTI)

In this project, developed scheduling frameworks for dynamic bandwidth demands for large-scale science applications. In particular, we developed scheduling algorithms for dynamic bandwidth demands in this project. Apart from theoretical approaches such as Integer Linear Programming, Tabu Search and Genetic Algorithm heuristics, we have utilized practical data from ESnet OSCARS project (from our DOE lab partners) to conduct realistic simulations of our approaches. We have disseminated our work through conference paper presentations and journal papers and a book chapter. In this project we addressed the problem of scheduling of lightpaths over optical wavelength division multiplexed (WDM) networks. We published several conference papers and journal papers on this topic. We also addressed the problems of joint allocation of computing, storage and networking resources in Grid/Cloud networks and proposed energy-efficient mechanisms for operatin optical WDM networks.

Ramamurthy, Byravamurthy [University of Nebraska-Lincoln

2014-05-05T23:59:59.000Z

456

ENERGY COMMISSION PUBLIC UTILITIES COMMISSION  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA PUBLIC UTILITIES COMMISSION FOR IMMEDIATE RELEASE Prosper, California Public Utilities Commission, 415.703.2160 GREENHOUSE GAS STRATEGIES OPINION RELEASED SACRAMENTO -- The California Energy Commission and the California Public Utilities Commission today released

457

Utility View of Risk Assessment  

E-Print Network [OSTI]

This paper will address a utility perspective in regard to risk assessment, reliability, and impact on the utility system. Discussions will also include the critical issues for utilities when contracting for energy and capacity from cogenerators...

Bickham, J.

458

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.

459

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

460

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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

462

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.

463

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

464

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

465

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

466

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

467

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

468

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

469

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

470

Innovative Utility Pricing for Industry  

E-Print Network [OSTI]

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

471

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

472

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.

473

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.

474

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

475

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

476

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

477

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.

478

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.

479

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

480

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

Note: This page contains sample records for the topic "utility rate schedules" 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

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.

482

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

483

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.

484

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

485

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.

486

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.

487

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

488

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

489

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.

490

Utility Power Plant Construction (Indiana)  

Broader source: Energy.gov [DOE]

This statute requires a certificate of necessity from the Indiana Utility Regulatory Commission for the construction, purchase, or lease of an electricity generation facility by a public utility.

491

Utility Energy Savings Contract Project  

Broader source: Energy.gov [DOE]

Presentation covers the Utility Energy Savings Contract Project and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Rapid City, South Dakota.

492

GSA-Utility Interconnection Agreements  

Broader source: Energy.gov [DOE]

Presentationgiven at at the Fall 2012 Federal Utility Partnership Working Group (FUPWG) meetingcovers the General Service Administration's (GSA's) utility interconnection agreements.

493

By-Products Utilization  

E-Print Network [OSTI]

wood with supplementary fuels such as coal, oil, natural gas, and coke by pulp and paper mills and wood, knots, chips, etc. with other supplementary fuels such as coal, oil, natural gas, and coke to generateCenter for By-Products Utilization DEVELOPMENT OF CLSM USING COAL ASH AND WOOD ASH, A SOURCE OF NEW

Wisconsin-Milwaukee, University of

494

Physical Plant Utility Department  

E-Print Network [OSTI]

of Massachusetts Amherst Electrical Distribution & Outdoor Lighting 3.0 Table of Contents Page 1 UMass Medium buses at the Eastside sub-station. The Eastside sub-station is comprised of two separate buses with a normally open bus tie. Each bus is automatically backed up by separate utility feeds. The Eastside Sub-station

Massachusetts at Amherst, University of

495

By-Products Utilization  

E-Print Network [OSTI]

Presentationand Publicationat the CBIP International Conference onFly Ash Disposal & Utilization,New Delhi, India, January 1998 foundry sand and slag. Most of these by-products are landfilled, primarily due to non-availability of economically attractive use options. Landfilling is not a desirable option because it not only causes huge

Wisconsin-Milwaukee, University of

496

By-Products Utilization  

E-Print Network [OSTI]

currently being produced by Manitowoc Public Utilities. Flowable Materials have up to 1200 psi compressive of water, and consist mostly of ash or similar materials. It is believed that concrete Bricks, Blocks in manufacturing Blended Cements. Soil stabilization or site remediation is another significant potential use

Wisconsin-Milwaukee, University of

497

By-Products Utilization  

E-Print Network [OSTI]

consume all of the ashes currently being produced by Manitowoc Public Utilities. Flowable Materials have little portland cement and a lot of water, and consist mostlyof ash or similar materials. It is believed fly ash in manufacturing Blended Cements. Soil stabilization or site remediation is another

Wisconsin-Milwaukee, University of

498

INTRODUCTION Ukiah Electric Utility  

E-Print Network [OSTI]

INTRODUCTION Ukiah Electric Utility Renewable Energy Resources Procurement Plan Per Senate Billlx 2 renewable energy resources, including renewable energy credits, as a specified percentage of Ukiah's total,2011 to December 31, 2013, Ukiah shall procure renewable energy resources equivalent to an average of at least

499

By-Products Utilization  

E-Print Network [OSTI]

Issued to the Illinois Clean Coal Institute For Project 02-1/3.1D-2 Department of Civil Engineering of technology and market development for controlled low-strength material (CLSM) slurry using Illinois coal ashCenter for By-Products Utilization IMPLEMENTATION OF FLOWABLE SLURRY TECHNOLOGY IN ILLINOIS

Wisconsin-Milwaukee, University of

500

By-Products Utilization  

E-Print Network [OSTI]

technologies. A clean-coal ash is defined as the ash derived from SOxand NOxcontrol technologies, and FBC that obtained from clean-coal technology, are not utilized in cast-concrete masonry products (bricks, blocks conventional and clean-coal technologies. Fifteen high-sulfur coal ash samples were obtained from eight

Wisconsin-Milwaukee, University of