Search Information and Data Across the DOE Complex
Note: This page contains sample records for the topic "rated output power" 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

E-Print Network [OSTI]

Machines are only Carnot efficient if they are reversible, but then their power output is vanishingly small. Here we ask, what is the maximum efficiency of an irreversible device with finite power output? We use a nonlinear scattering theory to answer this question for thermoelectric quantum systems; heat engines or refrigerators consisting of nanostructures or molecules that exhibit a Peltier effect. We find that quantum mechanics places an upper bound on both power output, and on the efficiency at any finite power. The upper bound on efficiency equals Carnot efficiency at zero power output, but decays with increasing power output. It is intrinsically quantum (wavelength dependent), unlike Carnot efficiency. This maximum efficiency occurs when the system lets through all particles in a certain energy window, but none at other energies. A physical implementation of this is discussed, as is the suppression of efficiency by a phonon heat flow.

Robert S. Whitney

2014-03-13T23:59:59.000Z

2

DOE Patents [OSTI]

A waveguide power divider (10) for splitting electromagnetic microwave power and directionally coupling the divided power includes an input waveguide (21) and reduced height output waveguides (23) interconnected by axial slots (22) and matched loads (25) and (26) positioned at the unused ends of input and output guides (21) and (23) respectively. The axial slots are of a length such that the wave in the input waveguide (21) is directionally coupled to the output waveguides (23). The widths of input guide (21) and output guides (23) are equal and the width of axial slots (22) is one half of the width of the input guide (21).

Moeller, Charles P. (Del Mar, CA)

1987-01-01T23:59:59.000Z

3

E-Print Network [OSTI]

Relationship among efficiency and output power of heat-electric energy converters as well as of any converters for transforming of heat energy into any other kind of energy is considered. It is shown, that the parameter efficiency does not determine univocally the output power of a converter. It is proposed to use another parameter for determination of working ability of heat energy converters. It is shown, that high output power can not be achieved by any kind of Stirling-type converters in spite of their high efficiency.

Alexander Luchinskiy

2004-09-02T23:59:59.000Z

4

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

Choices (2003-06) Power Function Review (PFR) Firstgov Power Rate Cases BPA's wholesale power rates are set to recover its costs and repay the U.S. Treasury for the Federal...

5

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon Â» Definition: Rated power Jump to: navigation, search Dictionary.png Rated power The power output of a device under specific or nominal operating conditions[1] View on Wikipedia Wikipedia Definition In electrical and electronic engineering, the power rating of a device is a guideline set by the manufacturer as a maximum power to be used with that device. This limit is usually set somewhat lower than the level where the device will be damaged, to allow a margin of safety. In devices which primarily dissipate electric power or convert it into mechanical power, such as resistors, electric motors, and speakers, the power rating given is usually the maximum power that can be safely dissipated by the

6

Science Journals Connector (OSTI)

Severe fluctuation of power output is a common problem in the various generating systems of renewable energies. The hybrid energy storage system with water and soil is adopted to decrease the fluctuation of solar chimney power generating systems in the ... Keywords: Solar chimney power generating system, power output fluctuation, hybrid energy storage layer, collector, chimney

Meng Fanlong; Ming Tingzhen; Pan Yuan

2011-01-01T23:59:59.000Z

7

Science Journals Connector (OSTI)

In this paper, we propose two different neural network (NN) approaches for industrial process signal forecasting. Real data is available for this research from boiling water reactor type nuclear power reactors. NNs are widely used for time series prediction, ... Keywords: evaluation methods, model input selection, neural networks, nuclear power plant, one-step ahead prediction

Jaakko Talonen; Miki Sirola; Eimontas Augilius

2010-09-01T23:59:59.000Z

8

Science Journals Connector (OSTI)

In this paper, we propose two different neural network (NN) approaches for industrial process signal forecasting. Real data is available for this research from boiling water reactor type nuclear power reactors. N...

Jaakko Talonen; Miki Sirola; Eimontas Augilius

2010-01-01T23:59:59.000Z

9

SciTech Connect (OSTI)

Lasers which oscillate within inhomogeneously broadened gain media exhibit spectral hole burning and concomitant reduction in output power compared with equivalent homogeneously-broadened laser gain media. By increasing the cavity length, it may be possible to demonstrate at least a partial transition from an inhomogeneous laser cavity mode spectrum to a homogeneous spectrum. There are a number of high gain laser lines which are inhomogeneously-broadened transitions in electric discharges of neutral xenon. In neutral xenon lasers, as in the cases of many other gas lasers, the inhomogeneous spectral broadening mechanism arises from Doppler shifts, {Delta}{nu}{sub D}, of individual atoms in thermal motion within the electric discharge comprising the laser gain medium. Optical transitions corresponding to these noble gas atoms have natural linewidths, {Delta}{nu}{sub n}{lt}{Delta}{nu}{sub D}. Simulations of the output power characteristics of the xenon laser were carried out as a function of laser cavity parameters, including the cavity length, L. These calculations showed that when the intracavity mode spacing frequency, c/2L{lt}{Delta}{nu}{sub n}, the inhomogeneously broadened xenon mode spectrum converted to a homogeneously broadened oscillation spectrum with an increase in output power. These simulations are compared with experimental results obtained for the long laser oscillation characteristics of the (5d[5/2]{degree}{sub 2}{r_arrow}6p[3/2]{sub 1}) transition corresponding to the strong, high-gain 3.508 {mu} line in xenon.

Linford, G.J. [TRW Space and Electronics Group, Redondo Beach, CA (United States). Space and Technology Div.

1994-12-31T23:59:59.000Z

10

Science Journals Connector (OSTI)

A comprehensive theoretical model is proposed for the performance evaluation of a solar chimney power plant (SCPP), and has been verified by the experimental data of the Spanish prototype. This model takes account of the effects of flow and heat losses, and the temperature lapse rates inside and outside the chimney. There is a maximum power output for a certain SCPP under a given solar radiation condition, due to flow and heat losses and the installation of the turbines. In addition, the design flow rate of the turbine in the SCPP system is found beneficial for power output when it is lower than that at the maximum power point. Furthermore, a limitation on the maximum collector radius exists for the maximum attainable power of the SCPP; whereas, no such limitation exists for chimney height in terms of contemporary construction technology.

Jing-yin Li; Peng-hua Guo; Yuan Wang

2012-01-01T23:59:59.000Z

11

Science Journals Connector (OSTI)

Abstract During the last years wind power has emerged as one of the most important sources in the power generation share. Due to stringent Grid Code requirements, wind power plants (WPPs) should provide ancillary services such as fault ride-through and damping of power system oscillations to resemble conventional generation. Through an adequate selection of input–output signal pairs, \\{WPPs\\} can be effectively used to provide electromechanical oscillations damping. In this paper, different analysis techniques considering both controllability and observability measures and input–output interactions are compared and critically examined. Recommendations are drawn to select the best signal pairs available from \\{WPPs\\} to contribute to power oscillations damping. Control system design approaches including single-input single-output and multivariable control are considered. The recommendation of analysis techniques is justified through the tools usage in a test system including a WPP.

José Luis Domínguez-García; Carlos E. Ugalde-Loo; Fernando Bianchi; Oriol Gomis-Bellmunt

2014-01-01T23:59:59.000Z

12

E-Print Network [OSTI]

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

Liberzon, Daniel

13

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

affecting a specific power purchase. For more specific information see: 1996 Final Wholesale Power and Transmission Rate Schedules: Power Rates (PDF, 84 pages, 188 kb) Ancillary...

14

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

Function Review (PFR) Firstgov FY 2007 2009 Power Rate Adjustments BPA's 2007-2009 Wholesale Power Rate Schedules and General Rate Schedule Provisions (GRSPs) took effect on...

15

SciTech Connect (OSTI)

The output power of a silicon nanowire array (NWA)-bulk thermoelectric power generator (TEG) with Cu contacts is improved by spin-on-doping (SOD). The Si NWAs used in this work are fabricated via metal assisted chemical etching (MACE) of 0.01–0.02 ? cm resistivity n- and p-type bulk, converting ?4% of the bulk thickness into NWs. The MACE process is adapted to ensure crystalline NWs. Current-voltage and Seebeck voltage-temperature measurements show that while SOD mainly influences the contact resistance in bulk, it influences both contact resistance and power factor in NWA-bulk based TEGs. According to our experiments, using Si NWAs in combination with SOD increases the output power by an order of 3 under the same heating power due to an increased power factor, decreased thermal conductivity of the NWA and reduced Si-Cu contact resistance.

Xu, B., E-mail: bin.xu09@imperial.ac.uk; Fobelets, K. [Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2BT London (United Kingdom)

2014-06-07T23:59:59.000Z

16

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

(PFR) Firstgov FY 2007 2009 Power Rates Quarterly Updates In BPAs 2007-2009 Wholesale Power Rate Case (WP-07), BPA agreed that it would post reports about BPAs power...

17

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

Rate Cases Financial Choices (2003-06) Power Function Review (PFR) Firstgov 2007 Wholesale Power (WP-07) Rate Case Related Links: Power Function Review (PFR) On July 17, 2006,...

18

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

recover the costs of generating power and associated expenses. Beginning with the 2010 BPA Rate Case, Power Services and Transmission Services plan to conduct rate cases every...

19

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

20

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

Note: This page contains sample records for the topic "rated output power" 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

DOE Patents [OSTI]

The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

Post, R.F.

1999-03-16T23:59:59.000Z

22

Science Journals Connector (OSTI)

A theory is developed for the output power stabilization of a rechargeable fuel cell battery in which the reactants and the electrochemical reaction products are in the electrolyte. Possible means of voltage stabilization are considered which employ continuous-flow and continuous flow—circulation supply of the working solution (electrolyte) to a fuel cell. Expressions are derived for the effective stabilization time and the required electrolyte flow rate. For a battery with known output parameters, the means of stabilization have been optimized based on the electrolyte flow rate and time of stabilization. The optimum solution is shown to depend on the net energy losses in implementing the stabilization procedure.

I.G. Gurevich

1979-01-01T23:59:59.000Z

23

SciTech Connect (OSTI)

Mode-locked semiconductor lasers have drawn considerable attention as compact, reliable, and relatively inexpensive sources of short optical pulses. Advances in the design of such lasers have resulted in vast improvements in pulsewidth and noise performance, at a very wide range of repetition rates. An attractive application for these lasers would be to serve as alternatives for large benchtop laser systems such as dye lasers and solid-state lasers. However, mode-locked semiconductor lasers have not yet approached the performance of such systems in terms of output power. Different techniques for overcoming the problem of low output power from mode-locked semiconductor lasers will be discussed. Flared and arrayed lasers have been used successfully to increase the pulse saturation energy limit by increasing the gain cross section. Further improvements have been achieved by use of the MOPA configuration, which utilizes a flared semiconductor amplifier s amplify pulses to energies of 120 pJ and peak powers of nearly 30W.

Mar, A.; Vawter, G.A.

1996-02-01T23:59:59.000Z

24

E-Print Network [OSTI]

We investigate the nonlinear scattering theory for quantum systems with strong Seebeck and Peltier effects, and consider their use as heat-engines and refrigerators with finite power outputs. This article gives detailed derivations of the results summarized in Phys. Rev. Lett. 112, 130601 (2014). It shows how to use the scattering theory to find (i) the quantum thermoelectric with maximum possible power output, and (ii) the quantum thermoelectric with maximum efficiency at given power output. The latter corresponds to a minimal entropy production at that power output. These quantities are of quantum origin since they depend on system size over electronic wavelength, and so have no analogue in classical thermodynamics. The maximal efficiency coincides with Carnot efficiency at zero power output, but decreases with increasing power output. This gives a fundamental lower bound on entropy production, which means that reversibility (in the thermodynamic sense) is impossible for finite power output. The suppression of efficiency by (nonlinear) phonon and photon effects is addressed in detail; when these effects are strong, maximum efficiency coincides with maximum power. Finally, we show in particular limits (typically without magnetic fields) that relaxation within the quantum system does not allow the system to exceed the bounds derived for relaxation-free systems, however a general proof of this remains elusive.

Robert S. Whitney

2015-01-28T23:59:59.000Z

25

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

26

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

October 2001 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY 2002-2006 rate period were originally established in May 2000 during the WP-02 Rate...

27

Science Journals Connector (OSTI)

We developed a compact vibration-driven electret generator that excelled at a power output. It succeeded in the operation of wireless sensor modules only on electricity from electret generators. This electret generator can supply enough power to operate a wireless sensor module without an external power source. It was necessary for enabling this operation to enhance the power output of the electret generator. We enhanced the power output by decreasing the parasitic capacitance. To decrease the parasitic capacitance, we fabricated a collector substrate using concave electrodes. We decreased it from 25 to 17 pF. As a result, the power output from our generator was enhanced from 40 to 100 µW considerably at an acceleration of 0.15 g (1.47 m s?2) and a resonance frequency of 30 Hz.

Tatsuakira Masaki; Kenji Sakurai; Toru Yokoyama; Masayo Ikuta; Hiroshi Sameshima; Masashi Doi; Tomonori Seki; Masatoshi Oba

2011-01-01T23:59:59.000Z

28

E-Print Network [OSTI]

SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans. For the conventional power park, the power production of the wind turbines presents a fluctuating 'negative load PRODUCTION OF WIND TURBINES For the forecast of the power production of wind turbines two approaches may

Heinemann, Detlev

29

SciTech Connect (OSTI)

The operation of a cascaded arc hydrogen plasma source was experimentally investigated to provide an empirical basis for the scaling of this source to higher plasma fluxes and efficiencies. The flux and efficiency were determined as a function of the input power, discharge channel diameter, and hydrogen gas flow rate. Measurements of the pressure in the arc channel show that the flow is well described by Poiseuille flow and that the effective heavy particle temperature is approximately 0.8 eV. Interpretation of the measured I-V data in terms of a one-parameter model shows that the plasma production is proportional to the input power, to the square root of the hydrogen flow rate, and is independent of the channel diameter. The observed scaling shows that the dominant power loss mechanism inside the arc channel is one that scales with the effective volume of the plasma in the discharge channel. Measurements on the plasma output with Thomson scattering confirm the linear dependence of the plasma production on the input power. Extrapolation of these results shows that (without a magnetic field) an improvement in the plasma production by a factor of 10 over where it was in van Rooij et al. [Appl. Phys. Lett. 90, 121501 (2007)] should be possible.

Vijvers, W. A. J.; Gils, C. A. J. van; Goedheer, W. J.; Meiden, H. J. van der; Veremiyenko, V. P.; Westerhout, J.; Lopes Cardozo, N. J.; Rooij, G. J. van [FOM-Institute for Plasma Physics Rijnhuizen, Association EURATOM-FOM, Trilateral Euregio Cluster, P.O. Box 1207, 3430 BE Nieuwegein (Netherlands); Schram, D. C. [Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven (Netherlands)

2008-09-15T23:59:59.000Z

30

E-Print Network [OSTI]

, manufacture, and intended use of the instrument. Agilent Technologies assumes no liability for the customer, the instrument chassis and cabinet must be connected to an electrical ground. The instrument must be connected to the ac power supply mains through a three-conductor power cable, with the third wire firmly connected

Ravikumar, B.

31

E-Print Network [OSTI]

1 Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization mechanical energy from human foot-strikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are high-energy density, soft, rubber-like material

Potkonjak, Miodrag

32

SciTech Connect (OSTI)

Renewable energy integration studies require wind data sets of high quality with realistic representations of the variability, ramping characteristics, and forecast performance for current wind power plants. The Wind Integration National Data Set (WIND) Toolkit is meant to be an update for and expansion of the original data sets created for the weather years from 2004 through 2006 during the Western Wind and Solar Integration Study and the Eastern Wind Integration Study. The WIND Toolkit expands these data sets to include the entire continental United States, increasing the total number of sites represented, and it includes the weather years from 2007 through 2012. In addition, the WIND Toolkit has a finer resolution for both the temporal and geographic dimensions. Three separate data sets will be created: a meteorological data set, a wind power data set, and a forecast data set. This report describes the validation of the wind power data set.

King, J.; Clifton, A.; Hodge, B. M.

2014-09-01T23:59:59.000Z

33

E-Print Network [OSTI]

This paper presents analytical and experimental results that demonstrated that the power output from a ducted wind turbine can be dramatically increased by the addition of a trailing edge device such as a porous disk. In ...

widnall, sheila

2014-06-30T23:59:59.000Z

34

Science Journals Connector (OSTI)

To achieve maximum output power from wind generator systems, the rotational speed of wind generators should be adjusted in real time according to natural wind speed. This chapter pays attention to an optimum rota...

Yoko Amano

2013-01-01T23:59:59.000Z

35

DOE Patents [OSTI]

A support may receive one or more power electronic circuits. The support may aid in removing heat from the circuits through fluid circulating through the support. The support, in conjunction with other packaging features may form a shield from both external EMI/RFI and from interference generated by operation of the power electronic circuits. Features may be provided to permit and enhance connection of the circuitry to external circuitry, such as improved terminal configurations. Modular units may be assembled that may be coupled to electronic circuitry via plug-in arrangements or through interface with a backplane or similar mounting and interconnecting structures.

Beihoff, Bruce C. (Wauwatosa, WI); Radosevich, Lawrence D. (Muskego, WI); Meyer, Andreas A. (Richmond Heights, OH); Gollhardt, Neil (Fox Point, WI); Kannenberg, Daniel G. (Waukesha, WI)

2007-05-01T23:59:59.000Z

36

SciTech Connect (OSTI)

Bonneville Power Administration 1993 Wholesale Power Rate Schedules and General Rate Schedule Provisions and 1993 Transmission Rate Schedules and General Transmission Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1993. These rate schedules and provisions were approved by the Federal Energy Commission, United States Department of Energy, in September, 1993. These rate schedules and provisions supersede the Administrations Wholesale Power Rate Schedules and General Rate Schedule Provisions and Transmission Rate Schedules and General Transmission Rate Schedule Provisions effective October 1, 1991.

1993-10-01T23:59:59.000Z

37

New Research Center to Increase Safety and Power Output of U.S. New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors New Research Center to Increase Safety and Power Output of U.S. Nuclear Reactors May 3, 2011 - 3:41pm Addthis Oak Ridge, Tenn. - Today the Department of Energy dedicated the Consortium for Advanced Simulation of Light Water Reactors (CASL), an advanced research facility that will accelerate the advancement of nuclear reactor technology. CASL researchers are using supercomputers to study the performance of light water reactors and to develop highly sophisticated modeling that will help accelerate upgrades at existing U.S. nuclear plants. These upgrades could improve the energy output of our existing reactor fleet by as much as seven reactors' worth at a fraction of the cost of building new reactors, while providing continued improvements in

38

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

3 - March 2004 (CRAC 5 period) "Monthly Adjusted" Wholesale Power Rates Effective October 2003 - March 2004 (CRAC 5 period) (PDF, 4 pages, 15 kb, corrected December 18, 2003,...

39

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

4 (CRAC 6 period) "Monthly Adjusted" Wholesale Power Rates Effective April 1 - September 30, 2004 (CRAC 6 period) (PDF, 4 pages, 14 kb, originally posted January 12, 2004;...

40

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

April - September 2005 (CRAC 8 period) "Monthly Adjusted" Wholesale Power Rates Effective April - September 2005 (CRAC 8 period) (PDF, 3 pages, 108 kb, posted December 17, 2004)...

Note: This page contains sample records for the topic "rated output power" 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

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

October 2005 - March 2006 (CRAC 9 period) "Monthly Adjusted" Wholesale Power Rates Effective October 2005 - March 2006 (CRAC 9 period) (PDF, 4 pages, 116 kb, originally posted...

42

Science Journals Connector (OSTI)

Abstract This paper investigates effects of ducting on power output from vertical axis hydro-current turbines. A numerical two-dimensional method based on the potential flow theory is developed for calculation of non-dimensional power output from these turbines. In this method, the blades are represented by vortex filaments. The vortex shedding from the blades is modeled by discrete vortices. A boundary element method is used to incorporate the duct shape which is represented by a series of panels with constant distributions of sources and doublets. The aerodynamic loading on the blades are calculated using a quasi-steady modeling. A time-marching scheme is used for implementation of the numerical method. The results of this method are compared with experimental results for a turbine model. A good correlation between the numerical and experimental results is obtained for tip speed ratios equal and higher than 2.25. However due to a lack of dynamic stall modeling, the numerical method is not able to predict power output accurately at lower tip speed ratios wherein effects of dynamic stall are significant. Both numerical and experimental results also showed that the power output from a turbine can increase significantly when it is enclosed within a well-designed duct. The maximum power output of the turbine model investigated in this paper showed a 74% increase when the turbine is operating within the duct relative to the case it is in free-stream conditions.

2014-01-01T23:59:59.000Z

43

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.

2006-11-01T23:59:59.000Z

44

E-Print Network [OSTI]

This thesis presents the results obtained from crographics. generation of high repetition rate, high peak power output pulses using an erbium-doped fiber amplifier (EDFA). Two configurations were employed. The first setup used a linear cavity...

Hinson, Brett Darren

2012-06-07T23:59:59.000Z

45

SciTech Connect (OSTI)

A final report on the output power characteristics and capabilities of single cell TOPAZ II Thermionic Fuel Element (TFE) No. 24 is presented. Thermal power tests were conducted for over 3000 hours to investigate converter performance under normal and adverse operating conditions. Experiments conducted include low power testing, high power testing, air introduction to the interelectrode gap, collector temperature optimization, thermal modeling, and output power characteristic measurements. During testing, no unexpected degradation in converter performance was observed. The TFE has been removed from the test stand and returned to Scientific Industrial Association {open_quote}{open_quote}LUCH{close_quote}{close_quote} for materials analysis and report. This research was conducted at the Thermionic System Evaluation Test (TSET) Facility at the New Mexico Engineering Research Institute (NMERI) as a part of the Topaz International Program (TIP) by the Air Force Phillips Laboratory (PL). {copyright} {ital 1996 American Institute of Physics.}

Luchau, D.W.; Bruns, D.R. [Team Specialty Services, Inc., TOPAZ International Program, 901 University Blvd., SE, Albuquerque, New Mexico 87106 (United States); Izhvanov, O.; Androsov, V. [JV INERTEK, Scientific Industrial Association Luch, 24 Zheleznodorozhnaya, Podolsk, (Russia) 142100

1996-03-01T23:59:59.000Z

46

SciTech Connect (OSTI)

By appropriately selecting the carbon nanotube type and n-type dopant for the conduction layers in a multilayered carbon nanotube composite, the total device thermoelectric power output can be increased significantly. The particular materials chosen in this study were raw single walled carbon nanotubes for the p-type layers and polyethylenimine doped single walled carbon nanotubes for the n-type layers. The combination of these two conduction layers leads to a single thermocouple Seebeck coefficient of 96 ± 4??VK{sup ?1}, which is 6.3 times higher than that previously reported. This improved Seebeck coefficient leads to a total power output of 14.7 nW per thermocouple at the maximum temperature difference of 50?K, which is 44 times the power output per thermocouple for the previously reported results. Ultimately, these thermoelectric power output improvements help to increase the potential use of these lightweight, flexible, and durable organic multilayered carbon nanotube based thermoelectric modules in low powered electronics applications, where waste heat is available.

Hewitt, Corey A.; Montgomery, David S.; Barbalace, Ryan L.; Carlson, Rowland D.; Carroll, David L., E-mail: carroldl@wfu.edu [Center for Nanotechnology and Molecular Materials, Wake Forest University, 501 Deacon Blvd., Winston Salem, North Carolina 27105 (United States)

2014-05-14T23:59:59.000Z

47

The U.S. Department of Energy's Bonneville Power Administration prepared this EIS to evaluate the potential environmental impacts associated with an increase in wholesale power rates that would become effective on November 1, 1983, including the effects of rate hikes in that year and the cumulative effects of previous rate hikes.

48

DOE Patents [OSTI]

The power output of a free piston Stirling engine is matched to a gas compressor which it drives and its stroke amplitude is made relatively constant as a function of power by connecting a gas spring to the drive linkage from the engine to the compressor. The gas spring is connected to the compressor through a passageway in which a valve is interposed. The valve is linked to the drive linkage so it is opened when the stroke amplitude exceeds a selected limit. This allows compressed gas to enter the spring, increase its spring constant, thus opposing stroke increase and reducing the phase lead of the displacer ahead of the piston to reduce power output and match it to a reduced load power demand.

Chen, Gong (Athens, OH); Beale, William T. (Athens, OH)

1990-01-01T23:59:59.000Z

49

E-Print Network [OSTI]

SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY Thomas E create major problems that will require major mitigation efforts. #12;SOLAR ENERGY (conditionally industry believe it could constrain the penetration of gridconnected PV. The U.S. Department of Energy

Perez, Richard R.

50

E-Print Network [OSTI]

Abstract: Wind Energy Conversion Systems (WECS) produce fluctuating output power, which may cause, solar energy conversion, virtual test bed simulation. Preprint Order Number: PE-531EC (02- plying its market-clearing mechanism. This mechanism determines the accepted and unaccepted energy bids

Gross, George

51

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

4 - March 2005 (CRAC 7 period) "Monthly Adjusted" Wholesale Power Rates Effective October 2004 - March 2005 (CRAC 7 period) (PDF, 3 pages, 13 kb, originally posted at 11 a.m. on...

52

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

2 (CRAC 2 period) "Monthly Adjusted" Wholesale Power Rates Effective April - September 2002 (CRAC 2 period) (PDF, 9 kb, posted April 1, 2002) Note: The PDF document above provides...

53

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

2 - March 2003 (CRAC 3 period) "Monthly Adjusted" Wholesale Power Rates Effective October 2002 - March 2003 (CRAC 3 period) (PDF, 14 kb, posted October 1, 2002) Note: The PDF...

54

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

3 (CRAC 4 period) "Monthly Adjusted" Wholesale Power Rates Effective April - September 2003 (CRAC 4 period) (PDF, 3 pages, 74 kb, updated April 8, 2003) Note: The PDF document...

55

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

1 - March 2002 (CRAC 1 period) "Monthly Adjusted" Wholesale Power Rates Effective October 2001 - March 2002 (CRAC 1 period) (PDF, 6 kb, updated October 3, 2001, posted October 4,...

56

Science Journals Connector (OSTI)

...Chicago, IL, USA). Data at 0.8 Hz were excluded...reduction in mechanical power output due to this trade-o...e ciency of mechanical power development during muscular...shortening and its relation to load. Proc. R. Soc. Lond...determinants of work loop power output. P gers Arch...

2001-01-01T23:59:59.000Z

57

SciTech Connect (OSTI)

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

1996-10-01T23:59:59.000Z

58

E-Print Network [OSTI]

Ford Motor Company, “Diesel Engine Aftertreatment: How FordNational Laboratory, “Engine Combustion Network”, http://High Power Output without Engine Knock and with Ultra-Low

Saxena, Samveg

2011-01-01T23:59:59.000Z

59

E-Print Network [OSTI]

heat loss, while excessively delayed combustion timing (before misfire) can cause power output and efficiency losses because of incomplete oxidation of hydrocarbons

Saxena, Samveg

2011-01-01T23:59:59.000Z

60

SciTech Connect (OSTI)

We present an approach to simulate time-synchronized, one-minute power output from large photovoltaic (PV) generation plants in locations where only hourly irradiance estimates are available from satellite sources. The approach uses one-minute irradiance measurements from ground sensors in a climatically and geographically similar area. Irradiance is translated to power using the Sandia Array Performance Model. Power output is generated for 2007 in southern Nevada are being used for a Solar PV Grid Integration Study to estimate the integration costs associated with various utility-scale PV generation levels. Plant designs considered include both fixed-tilt thin-film, and single-axis-tracked polycrystalline Si systems ranging in size from 5 to 300 MW{sub AC}. Simulated power output profiles at one-minute intervals were generated for five scenarios defined by total PV capacity (149.5 MW, 222 WM, 292 MW, 492 MW, and 892 MW) each comprising as many as 10 geographically separated PV plants.

Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

2011-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

1-A Wholesale Power Rate Schedule Pump-1-A Wholesale Power Rate Schedule Area: Carters & Russell Pumping System: Georgia-Alabama-South Carolina This rate schedule shall be...

62

Science Journals Connector (OSTI)

...Galantis and R. C. Woledge Power output of an MTC equivalent...values the optimal mass for power amplification ( = 1) is ca...muscle. The optimal mass at the foot assuming a lever ratio of four...required to achieve maximal power is ca. 0.04 m. The resting...

2003-01-01T23:59:59.000Z

63

SciTech Connect (OSTI)

Three innovative Stirling converter concepts are described. Two concepts are based on Pluto Fast Flyby (PFF) mission requirements, where two General Purpose Heat Source (GPHS) modules provide the thermal input. The first concept (PFF2) considers a power system with two opposed Stirling converters; the second concept (PFF4) considers four opposed Stirling converters. For both concepts the Stirling converters are designed to vary their power production capability to compensate for the failure of one Stirling converter. While the net thermal efficiency of PFF4 is a few percentage points lower than PFF2, the total Stirling converter mass of PFF4 is half that for PFF2. The third concept (ITTI) is designed to supply 2 watts of power for weather stations on the Martian surface. The predicted thermal performance of the ITTI is low compared to PFF2 and PFF4, yet the ITTI concept offers significant advantages compared to currently available power systems at the 2-watt power level. All three concepts are based on long-life technology demonstrated by an 11-watt output Stirling generator that as of March 1995 has accumulated over 15,000 operating hours without maintenance.

Ross, B.A. [Stirling Technology Co., Richland, WA (United States)

1995-12-31T23:59:59.000Z

64

Science Journals Connector (OSTI)

...rated at 200 kilowatts peak power output in Clayton, N.M...megawatts (2000 kilowatts) peak power output, is undergoing initial...output fed into the grid of the Bonneville Power Administration. Boeing estimates its machine...

R. JEFFREY SMITH

1980-02-15T23:59:59.000Z

65

E-Print Network [OSTI]

in terajoules (TJ). 4.2 Undesirable Outputs Undesirable variable refers to emissions from the electricity generation process. Coal is a combustible mineral composed primarily of carbon and hydrocarbon, along with other assorted elements including nitrogen... of the sample power plants is 211.71GW. The total annual generation is 1117.59 TWh. Data, such as installed capacity, annual fuel consumption (coal and oil), number of employees, annual electricity generation, heat rates, and quality of fuel, were collected...

Yu, Hongliang; Pollitt, Michael G.

66

CTV-1-H Wholesale Power Rate Schedule CTV-1-H Wholesale Power Rate Schedule Area: Tennessee Valley Authority System: CU This rate schedule shall be available to the Tennessee...

67

CBR-1-H Wholesale Power Rate Schedule CBR-1-H Wholesale Power Rate Schedule Area: Big Rivers and Henderson, KY System: CU This rate schedule shall be available to Big Rivers...

68

SciTech Connect (OSTI)

The Wholesale Power Rate Development Study (WPRDS) calculates BPA proposed rates based on information either developed in the WPRDS or supplied by the other studies that comprise the BPA rate proposal. All of these studies, and accompanying documentation, provide the details of computations and assumptions. In general, information about loads and resources is provided by the Load Resource Study (LRS), WP-07-E-BPA-01, and the LRS Documentation, WP-07-E-BPA-01A. Revenue requirements information, as well as the Planned Net Revenues for Risk (PNNR), is provided in the Revenue Requirement Study, WP-07-E-BPA-02, and its accompanying Revenue Requirement Study Documentation, WP-07-E-BPA-02A and WP-07-E-BPA-02B. The Market Price Forecast Study (MPFS), WP-07-E-BPA-03, and the MPFS Documentation, WP-07-E-BPA-03A, provide the WPRDS with information regarding seasonal and diurnal differentiation of energy rates, as well information regarding monthly market prices for Demand Rates. In addition, this study provides information for the pricing of unbundled power products. The Risk Analysis Study, WP-07-E-BPA-04, and the Risk Analysis Study Documentation, WP-07-E-BPA-04A, provide short-term balancing purchases as well as secondary energy sales and revenue. The Section 7(b)(2) Rate Test Study, WP-07-E-BPA-06, and the Section 7(b)(2) Rate Test Study Documentation, WP-07-E-BPA-06A, implement Section 7(b)(2) of the Northwest Power Act to ensure that BPA preference customers firm power rates applied to their general requirements are no higher than rates calculated using specific assumptions in the Northwest Power Act.

2007-11-01T23:59:59.000Z

69

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

turbines produce rated power Increasing the Scaled Wind Farm Technology Facility's Power Production On April 7, 2014, in Energy, Facilities, News, News & Events, Partnership,...

70

Energy Savers [EERE]

Area: Southern Illinois System: CU This rate schedule shall be available to Southern Illinois Power Cooperative (hereinafter the Customer). This rate schedule shall be...

71

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

Provo River Project Power Sales Rate History Updated: 12/20/2013 Rate Schedule Effective Dates Energy (Mills/kWh) Capacity ($/kW-mo.) Combined (Mills/kWh) Administrative Action 4/58 - 6/64 (Summer Season) 3.000 N.A. N.A. Administrative Action 10/58 - 4/64 (Winter Season) 4.500 N.A. N.A. Administrative Action 7/64 - 9/79 (Summer Season) 5.000 N.A. N.A. Administrative Action 10/64 - 9/79 (Winter Season) 3.000 N.A. N.A. Administrative Action 10/79 - 9/82 6.000 N.A. N.A. Administrative Action 10/82 - 9/90 6.850 N.A. N.A. Administrative Action 10/90 - 9/94 8.000 N.A. N.A. Administrative Action 10/94 - Present Installments N.A. N.A. Note: The Provo River Project sells energy only. As of October 1994, customers pay all OM&R expenses and in return, receive all the energy produced by the Project. 72 SciTech Connect (OSTI) Module data from NREL's CPV test bed is used to examine methods for calculating outdoor CPV power ratings. IEC 62670 and ASTM E2527 are used as a starting point for determining a module power rating on a monthly basis. Monthly power ratings vary by more than desired using existing methods. The presentation examines modifications to existing methods as well as spectral corrections to reduce variation in monthly module power ratings. Muller, M. 2011-02-01T23:59:59.000Z 73 Broader source: Energy.gov (indexed) [DOE] MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association System: Georgia-Alabama-South Carolina This rate schedule shall be available to the South Mississippi Electric Power Association (hereinafter called the Customer) to whom power may be wheeled pursuant to contracts between the Government and PowerSouth Energy Cooperative (hereinafter called PowerSouth). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 74 E-Print Network [OSTI] ABSTRACT Structural responses and power output of a wind turbine are strongly affected by the wind affect the power output and structural responses of a wind turbine. Wind field characteristics are conventionally described by time averaged features, such as mean wind speed, turbulence intensity and power Stanford University 75 Broader source: Energy.gov (indexed) [DOE] ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina This rate schedule shall be available to the PowerSouth Energy Cooperative. This rate schedule shall be applicable to power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters, and Richard B. Russell Projects and sold under contract between the Cooperative and the Government. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B. Russell Projects. Document Available for Download ALA-1-N Rate Schedule More Documents & Publications MISS-1-N Wholesale Power Rate Schedule 76 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) (PFR) Firstgov WP-96TR-96 & TC-96 Power and Transmission Rate Case Index: Final 1996 Wholesale Power and Transmission Rates Proposal (WP-96TR-96) Administrator's Record Of... 77 Broader source: Energy.gov (indexed) [DOE] NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule Area: Virginia Power/CP&L System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to a contract between the Government and Virginia Electric and Power Company (hereinafter called the Virginia Power) and PJM Interconnection LLC (hereinafter called PJM), scheduled pursuant to a contract between the Government and Carolina Power & Light Company (hereinafter called CP&L), and billed pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale of power 78 Broader source: Energy.gov (indexed) [DOE] CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule 79 Broader source: Energy.gov (indexed) [DOE] CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule 80 Broader source: Energy.gov (indexed) [DOE] CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule Note: This page contains sample records for the topic "rated output power" 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 Broader source: Energy.gov (indexed) [DOE] CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule 82 SciTech Connect (OSTI) The indirect flight muscle (IFM) of insects is characterized by a near crystalline myofilament lattice structure that likely evolved to achieve high power output. In Drosophila IFM, the myosin rod binding protein flightin plays a crucial role in thick filament organization and sarcomere integrity. Here we investigate the extent to which the COOH terminus of flightin contributes to IFM structure and mechanical performance using transgenic Drosophila expressing a truncated flightin lacking the 44 COOH-terminal amino acids (fln{sup {Delta}C44}). Electron microscopy and X-ray diffraction measurements show decreased myofilament lattice order in the fln{sup {Delta}C44} line compared with control, a transgenic flightin-null rescued line (fln{sup +}). fln{sup {Delta}C44} fibers produced roughly 1/3 the oscillatory work and power of fln{sup +}, with reduced frequencies of maximum work (123 Hz vs. 154 Hz) and power (139 Hz vs. 187 Hz) output, indicating slower myosin cycling kinetics. These reductions in work and power stem from a slower rate of cross-bridge recruitment and decreased cross-bridge binding in fln{sup {Delta}C44} fibers, although the mean duration of cross-bridge attachment was not different between both lines. The decreases in lattice order and myosin kinetics resulted in fln{sup {Delta}C44} flies being unable to beat their wings. These results indicate that the COOH terminus of flightin is necessary for normal myofilament lattice organization, thereby facilitating the cross-bridge binding required to achieve high power output for flight. Tanner, Bertrand C.W.; Miller, Mark S.; Miller, Becky M.; Lekkas, Panagiotis; Irving, Thomas C.; Maughan, David W.; Vigoreaux, Jim O. (IIT); (Vermont) 2011-08-26T23:59:59.000Z 83 Broader source: Energy.gov [DOE] The U.S. Department of Energy's Bonneville Power Administration prepared this statement to evaluate the potential environmental impacts associated with an increase in wholesale power rates for calendar year 1982, including the effects of rate hikes in that year, the cumulative effects of rate hikes from 1979-1985, as well as alternative revenue scenarios. 84 Broader source: Energy.gov (indexed) [DOE] 2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule AP-2-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download 85 Broader source: Energy.gov (indexed) [DOE] 3-B Wholesale Power Rate Schedule 3-B Wholesale Power Rate Schedule AP-3-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download 86 Broader source: Energy.gov (indexed) [DOE] 1-B Wholesale Power Rate Schedule 1-B Wholesale Power Rate Schedule AP-1-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted and scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. 87 Broader source: Energy.gov (indexed) [DOE] 2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule VA-2-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to contracts between the Government, Virginia Electric and Power Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download 88 Broader source: Energy.gov (indexed) [DOE] 4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule VA-4-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina served through the transmission facilities of Virginia Electric and Power Company (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download VA-4-B Rate Schedule More Documents & Publications 89 Broader source: Energy.gov (indexed) [DOE] 4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule AP-4-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia served through the facilities of American Electric Power Service Corporation (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download AP-4-B Rate Schedule More Documents & Publications 90 Broader source: Energy.gov (indexed) [DOE] Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Area: Replacement Energy System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-1 Rate Schedule More Documents & Publications Replacement-3 Wholesale Power Rate Schedule 91 SciTech Connect (OSTI) We report experimental results on a high-power, cladding-pumped, heavily Er/Yb co-doped phosphate fiber laser of very short length. Up to 1.5 W cw laser power was obtained from an11-cm-long multimode-core active fiber with optimized input and output couplers, when pumped by a 15 W diode laser at 975 nm. The fiber laser was demonstrated at 1535 nm with a linewidth <1.2 nm, and a good beam quality of M{sup 2}<3. Li, L.; Morrell, M.; Qiu, T.; Temyanko, V.L.; Schuelzgen, A.; Mafi, A.; Kouznetsov, D.; Moloney, J.V.; Luo, T.; Jiang, S.; Peyghambarian, N. [Optical Sciences Center, University of Arizona, Tucson, Arizona 85721 (United States); Arizona Center for Mathematical Sciences, University of Arizona, Tucson, Arizona 85721 (United States); NP Photonics Inc., UA Science and Technology Park, Tucson, Arizona 85747 (United States); Optical Sciences Center, University of Arizona, Tucson, Arizona 85721 (United States) 2004-10-04T23:59:59.000Z 92 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) BPA-proposes-rate-increase-to-bolster-federal-power-and-transmission-systems Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects... 93 Broader source: Energy.gov (indexed) [DOE] 2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule SOCO-2-E Wholesale Power Rate Schedule Area: PowerSouth Off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate 94 Broader source: Energy.gov (indexed) [DOE] 1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted and scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 95 Broader source: Energy.gov (indexed) [DOE] 2-A Wholesale Power Rate Schedule 2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power Rate Schedule Area: Replacement Energy System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and Virginia to whom power is provided pursuant to contracts between the Government and the customer from the John H. Kerr and Philpott Projects (or Kerr-Philpott System). This rate schedule shall be applicable to the sale of wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-2-A Rate Schedule More Documents & Publications Southeastern Power Administration 2010 Annual Report 96 Broader source: Energy.gov (indexed) [DOE] 3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 97 Broader source: Energy.gov (indexed) [DOE] 1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Santee-1-E Wholesale Power Rate Schedule Area: Central, Bamberg, and Georgetown System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled and scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 98 Broader source: Energy.gov (indexed) [DOE] 2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Santee-2-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 99 E-Print Network [OSTI] potential as a self-powered active gas sensor This article has been downloaded from IOPscience. Please on the output of a ZnO nanowire nanogenerator and its potential as a self-powered active gas sensor Xinyu Xue1 as a power source, but also as a response signal to the gas, demonstrating a possible approach as a self-powered Wang, Zhong L. 100 SciTech Connect (OSTI) The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit. United States. Bonneville Power Administration. 2005-11-01T23:59:59.000Z Note: This page contains sample records for the topic "rated output power" 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 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Engineering 73 Current vs. Voltage Feedback Amplifiers Summary: specifications and why CFB amplifiers have higher bandwidths for the same power and better linear phase... of the... 102 Broader source: Energy.gov (indexed) [DOE] 1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. 103 Broader source: Energy.gov (indexed) [DOE] 3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule SOCO-3-E Wholesale Power Rate Schedule Area: MEAG, Dalton System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between 104 Broader source: Energy.gov (indexed) [DOE] 3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. 105 Broader source: Energy.gov (indexed) [DOE] 2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. The Customer is responsible for providing a scheduling arrangement with the Government. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate 106 Broader source: Energy.gov (indexed) [DOE] SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. 107 SciTech Connect (OSTI) An experimental study was made of the influence of different factors on the stability of the output intensity of a flowing-gas CO/sub 2/ laser with an unstable resonator. The measured amplitude--frequency characteristics of the intensity fluctuation spectrum had resonance peaks at multiples of the frequency corresponding to the transit time of the gas to the optic axis of the resonator. A rise in the efficiency of the laser system was found to be accompanied by an increase in the amplitude of the fluctuations of the radiation intensity. Artamonov, A.V.; Konev, V.A.; Likhanskii, V.V.; Napartovich, A.P. 1984-06-01T23:59:59.000Z 108 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Geothermal resources-the steam and water that lie below the earth's surface-have the Geothermal resources-the steam and water that lie below the earth's surface-have the potential to supply vast amounts of clean energy. But continuing to produce geothermal power efficiently and inexpensively can require innovative adjustments to the technology used to process it. Located in the Mayacamas Mountains of northern California, The Geysers is the world's larg- est geothermal complex. Encompassing 45 square miles along the Sonoma and Lake County border, the complex harnesses natural steam reservoirs to create clean renewable energy that accounts for one-fifth of the green power produced in California. In the late 1990s, the pressure of geothermal steam at The Geysers was falling, reducing the output of its power plants. NREL teamed with Pacific 109 SciTech Connect (OSTI) High penetration renewable integration studies require solar power data with high spatial and temporal accuracy to quantify the impact of high frequency solar power ramps on the operation of the system. Our previous work concentrated on downscaling solar power from one hour to one minute by simulation. This method used clearness classifications to categorize temporal and spatial variability, and iterative methods to simulate intra-hour clearness variability. We determined that solar power ramp correlations between sites decrease with distance and the duration of the ramp, starting at around 0.6 for 30-minute ramps between sites that are less than 20 km apart. The sub-hour irradiance algorithm we developed has a noise floor that causes the correlations to approach ~0.005. Below one minute, the majority of the correlations of solar power ramps between sites less than 20 km apart are zero, and thus a new method to simulate intra-minute variability is needed. These intra-minute solar power ramps can be simulated using several methods, three of which we evaluate: a cubic spline fit to the one-minute solar power data; projection of the power spectral density toward the higher frequency domain; and average high frequency power spectral density from measured data. Each of these methods either under- or over-estimates the variability of intra-minute solar power ramps. We show that an optimized weighted linear sum of methods, dependent on the classification of temporal variability of the segment of one-minute solar power data, yields time series and ramp distributions similar to measured high-resolution solar irradiance data. Hummon, M.; Weekley, A.; Searight, K.; Clark, K. 2013-10-01T23:59:59.000Z 110 SciTech Connect (OSTI) High penetration renewable integration studies require solar power data with high spatial and temporal accuracy to quantify the impact of high frequency solar power ramps on the operation of the system. Our previous work concentrated on downscaling solar power from one hour to one minute by simulation. This method used clearness classifications to categorize temporal and spatial variability, and iterative methods to simulate intra-hour clearness variability. We determined that solar power ramp correlations between sites decrease with distance and the duration of the ramp, starting at around 0.6 for 30-minute ramps between sites that are less than 20 km apart. The sub-hour irradiance algorithm we developed has a noise floor that causes the correlations to approach ~0.005. Below one minute, the majority of the correlations of solar power ramps between sites less than 20 km apart are zero, and thus a new method to simulate intra-minute variability is needed. These intra-minute solar power ramps can be simulated using several methods, three of which we evaluate: a cubic spline fit to the one-minute solar power data; projection of the power spectral density toward the higher frequency domain; and average high frequency power spectral density from measured data. Each of these methods either under- or over-estimates the variability of intra-minute solar power ramps. We show that an optimized weighted linear sum of methods, dependent on the classification of temporal variability of the segment of one-minute solar power data, yields time series and ramp distributions similar to measured high-resolution solar irradiance data. Hummon, M.; Weekley, A.; Searight, K.; Clark, K. 2013-10-01T23:59:59.000Z 111 Broader source: Energy.gov (indexed) [DOE] 4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Santee-4-E Wholesale Power Rate Schedule Area: Santee-Cooper System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina served through the transmission facilities of South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B. 112 Broader source: Energy.gov (indexed) [DOE] 4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina served through the transmission facilities of Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does 113 SciTech Connect (OSTI) The design of a copper chloride laser is described, and the laser is optimised by studying the dependence of its output power on the buffer gas type. The voltage and current of the laser discharge at the optimum buffer gas pressure are measured. The influence of the diaphragm diameter on the specific output power is studied after optimisation of switch parameters. When an diaphragm producing the optimal temperature gradient in the laser gas-discharge tube, the record specific output power of 123 W L{sup -1} is obtained without any admixtures. (lasers) Sadighi-Bonabi, R; Mohammadpour, R; Tavakoli, M [Physics Department, Sharif University of Technology, Tehran (Iran, Islamic Republic of); Soltanmoradi, F [Bonab Research Center, Bonab, Azerbaijan province (Iran, Islamic Republic of); Zand, M [Laser Research Center, Tehran (Iran, Islamic Republic of) 2007-04-30T23:59:59.000Z 114 U.S. Energy Information Administration (EIA) Indexed Site 2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 2. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 40,020 1,319 2,550 214,137 5,961 12,550 4,732 281,269 2003 38,249 5,551 1,828 200,077 9,282 19,785 3,296 278,068 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167 22,109 17,052 4,854 292,234 2009 38,015 5,341 1,445 190,875 19,830 17,625 5,055 278,187 115 Science Journals Connector (OSTI) This paper focuses on establishing the multiscale prediction models for wind speed and power in wind farm by the average wind speed collected from the history records. Each type ... the predictive values of outpu... Xiaolan Wang; Hui LI 2012-05-01T23:59:59.000Z 116 Broader source: Energy.gov (indexed) [DOE] 4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule SOCO-4-E Wholesale Power Rate Schedule Area: OPC System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida served through the transmission facilities of Southern Company Services, Inc. (hereinafter called the Company) or the Georgia Integrated Transmission System. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between 117 Broader source: Energy.gov (indexed) [DOE] CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule October 1, 2011 - 3:22pm Addthis Availability: This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter called the Customers). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Character of Service: The electric capacity and energy supplied hereunder will be three phase 118 Broader source: Energy.gov (indexed) [DOE] 2 Wholesale Power Rate Schedule 2 Wholesale Power Rate Schedule Pump-2 Wholesale Power Rate Schedule Area: Carters & Russell Pumping-Self Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives who provide their own scheduling arrangement and elect to allow Southeastern to use a portion of their allocation for pumping (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy generated from pumping operations at the Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and 119 Broader source: Energy.gov (indexed) [DOE] CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule Area: Former customers of TVA System: Cumberland This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and the Customer. Document Available for Download CTVI-1-A Rate Schedule More Documents & Publications 120 DOE Patents [OSTI] Fuel cell performance is degraded by recycling a portion of the cathode exhaust through the cells and, if necessary, also reducing the total air flow to the cells for the purpose of permitting operation below a power level which would otherwise result in excessive voltage. Reiser, Carl A. (Glastonbury, CT); Landau, Michael B. (West Hartford, CT) 1980-01-01T23:59:59.000Z Note: This page contains sample records for the topic "rated output power" 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 E-Print Network [OSTI] and capacitance mapping ? Performed wedge tightness check by means of manual tap test ? Performed RTD functioning test ? Cleaned generator brush rigging ? Inspected generator brush rigging for signs of heating, arcing or other damage... turbine with a net generating rating of 366MW. The unit began commercial operation in 1976. Coal is received by rail and limestone by rail by rail or truck. Rail cars are unloaded in a rotary car dumper at a rate of 20-25 cars per hour. A 30 day... Amoo-Otoo, John Kweku 2006-05-19T23:59:59.000Z 122 Broader source: Energy.gov [DOE] The Bonneville Power Administration (BPA) developed this statement to explain the reasons for BPA's proposed power rate schedule, to conduct an analysis of the impacts which the proposal or alternatives thereto could have on both physical and socioeconomic characteristics of the human environment and to identify methods for mitigating the effects of the proposal. 123 Science Journals Connector (OSTI) Abstract A narrow path exists to a sustainable solution which passes through careful steps of efficiency improvement (resource management) and provides environmental friendly energies. Thermal power plants are more common in many power production sites around the world. Therefore, in this current research study a comprehensive thermodynamic modeling of a combined cycle power plant with dual pressure heat recovery steam generator is presented. Since the steam turbine outlet quality is a restrictive parameter, optimization of three cases with different steam quality are conducted and discussed. In other hand, energy and exergy analysis of each components for these three different cases estimated and compared. Obtained results show that it is really important to keep the quality of the vapor at turbine outlet constant in 88% for the results to be more realistic and also optimization and data are more technically feasible and applicable. A. Ganjehkaviri; M.N. Mohd Jaafar; S.E. Hosseini 2015-01-01T23:59:59.000Z 124 U.S. Energy Information Administration (EIA) Indexed Site B. Landfill Gas: Consumption for Useful Thermal Output, B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 993 0 116 0 876 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2010 January 118 0 83 30 5 February 110 0 79 27 5 March 132 0 94 32 6 April 131 0 93 33 6 May 132 0 92 34 6 June 139 0 104 30 5 July 140 0 102 33 5 August 132 0 95 32 5 September 148 0 113 30 5 125 U.S. Energy Information Administration (EIA) Indexed Site B. Petroleum Coke: Consumption for Useful Thermal Output, B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 517 0 111 6 399 2003 763 0 80 9 675 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2010 January 92 0 10 1 81 February 93 0 10 1 82 March 84 0 12 1 71 April 76 0 9 1 66 May 84 0 10 0 75 June 93 0 8 0 86 July 89 0 8 0 80 August 87 0 2 1 84 September 82 0 2 1 79 126 U.S. Energy Information Administration (EIA) Indexed Site F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 193,120 57,296 105,416 227 30,182 2003 197,827 69,695 92,384 309 35,440 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856 2010 173,078 94,331 41,090 340 37,317 2011 176,349 99,257 40,167 173 36,752 2012 144,266 60,862 24,925 353 58,126 2010 January 14,949 7,995 3,716 38 3,199 127 U.S. Energy Information Administration (EIA) Indexed Site C. Coal: Consumption for Electricity Generation and Useful Thermal Output, C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,005,144 767,803 209,703 1,405 26,232 2003 1,031,778 757,384 247,732 1,816 24,846 2004 1,044,798 772,224 244,044 1,917 26,613 2005 1,065,281 761,349 276,135 1,922 25,875 2006 1,053,783 753,390 273,246 1,886 25,262 2007 1,069,606 764,765 280,377 1,927 22,537 2008 1,064,503 760,326 280,254 2,021 21,902 2009 955,190 695,615 238,012 1,798 19,766 2010 1,001,411 721,431 253,621 1,720 24,638 2011 956,470 689,316 243,168 1,668 22,319 2012 845,066 615,467 208,085 1,450 20,065 128 U.S. Energy Information Administration (EIA) Indexed Site E. Landfill Gas: Consumption for Useful Thermal Output, E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 500 0 61 0 439 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2010 January 61 0 44 14 3 February 58 0 42 13 3 March 67 0 49 15 3 April 67 0 49 15 3 May 68 0 49 16 3 June 73 0 56 14 3 July 73 0 55 16 2 August 69 0 52 15 3 September 79 0 62 14 3 October 75 0 59 14 2 129 U.S. Energy Information Administration (EIA) Indexed Site B. Coal: Consumption for Useful Thermal Output, B. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 17,561 0 2,255 929 14,377 2003 17,720 0 2,080 1,234 14,406 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584 2012 19,333 0 2,790 1,143 15,400 2010 January 1,972 0 371 160 1,440 February 1,820 0 347 139 1,334 March 1,839 0 338 123 1,378 April 2,142 0 284 95 1,764 130 U.S. Energy Information Administration (EIA) Indexed Site E. Petroleum Liquids: Consumption for Useful Thermal Output, E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 76,737 0 1,669 3,276 71,788 2003 85,488 0 6,963 3,176 75,349 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927 1,039 15,833 2012 18,233 0 5,871 746 11,616 2010 January 3,648 0 614 190 2,843 February 3,027 0 422 157 2,447 March 2,015 0 272 43 1,699 131 U.S. Energy Information Administration (EIA) Indexed Site C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 146,643 88,595 39,320 1,210 17,517 2003 189,260 105,319 62,617 1,394 19,929 2004 185,761 103,793 57,843 1,963 22,162 2005 185,631 98,223 63,546 1,584 22,278 2006 87,898 53,529 18,332 886 15,150 2007 95,895 56,910 24,097 691 14,198 2008 61,379 38,995 14,463 621 7,300 2009 51,690 31,847 11,181 477 8,185 2010 44,968 30,806 9,364 376 4,422 2011 31,152 20,844 6,637 301 3,370 2012 25,702 17,521 5,102 394 2,685 2010 January 6,193 4,381 1,188 48 576 132 U.S. Energy Information Administration (EIA) Indexed Site E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 682,060 0 9,585 727 671,747 2003 746,375 0 10,893 762 734,720 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357 1,064 856,620 2011 893,314 0 16,577 1,022 875,716 2012 883,158 0 19,251 949 862,958 2010 January 73,418 0 1,677 91 71,651 February 67,994 0 1,689 81 66,224 133 U.S. Energy Information Administration (EIA) Indexed Site F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 66,270 3,930 59,149 1,753 1,438 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681 10,029 93,405 3,011 236 2011 114,173 11,146 91,279 11,497 251 2012 125,927 12,721 101,379 10,512 1,315 2010 January 8,502 853 7,379 251 19 February 7,882 830 6,823 209 20 134 U.S. Energy Information Administration (EIA) Indexed Site E. Other Waste Biomass: Consumption for Useful Thermal Output, E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 29,854 0 10,655 757 18,442 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0 6,460 1,566 35,458 2012 46,863 0 6,914 1,796 38,153 2010 January 4,885 0 1,088 137 3,661 February 4,105 0 943 137 3,025 March 4,398 0 845 136 3,417 April 4,224 0 399 138 3,688 135 U.S. Energy Information Administration (EIA) Indexed Site E. Petroleum Coke: Consumption for Useful Thermal Output, E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 14,395 0 3,192 179 11,024 2003 21,170 0 2,282 244 18,644 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012 38,777 0 3,281 315 35,181 2010 January 2,683 0 285 33 2,365 February 2,770 0 302 29 2,439 March 2,424 0 338 36 2,050 April 2,257 0 255 22 1,980 136 U.S. Energy Information Administration (EIA) Indexed Site F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 64,629 2,456 26,514 5,323 30,337 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398 33,994 2010 77,150 3,668 22,884 5,438 45,159 2011 74,255 4,488 22,574 5,382 41,810 2012 77,205 4,191 22,654 5,812 44,548 2010 January 7,109 189 2,166 458 4,295 February 6,441 275 2,151 429 3,586 137 U.S. Energy Information Administration (EIA) Indexed Site F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,135,572 2,307,358 3,481,961 75,985 1,270,268 2003 6,498,549 1,809,003 3,450,177 60,662 1,178,707 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283 4,046,069 67,571 984,062 2009 8,138,385 2,981,285 4,062,633 77,077 1,017,390 2010 8,694,186 3,359,035 4,191,241 87,357 1,056,553 138 U.S. Energy Information Administration (EIA) Indexed Site B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 1,358 0 311 865 182 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190 2010 January 191 0 69 107 14 February 178 0 61 106 11 March 204 0 66 126 12 April 207 0 67 127 13 May 249 0 67 167 15 June 204 0 69 120 14 July 194 0 68 115 11 139 U.S. Energy Information Administration (EIA) Indexed Site C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 137,414 9,168 122,100 3,280 2,865 2004 146,018 11,250 126,584 4,091 4,093 2005 143,822 11,490 124,030 5,232 3,070 2006 162,084 16,617 136,632 7,738 1,096 2007 168,762 17,442 144,490 5,699 1,131 2008 196,802 20,465 170,001 5,668 668 2009 207,585 19,583 181,234 6,106 661 2010 219,954 19,975 193,623 5,905 451 2011 235,990 22,086 183,609 29,820 474 2012 259,564 25,193 204,753 27,012 2,606 2010 January 17,649 1,715 15,406 491 37 February 16,300 1,653 14,198 410 38 140 U.S. Energy Information Administration (EIA) Indexed Site C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 7,353 2,125 3,691 8 1,529 2003 7,067 2,554 3,245 11 1,257 2004 8,721 4,150 3,223 9 1,339 2005 9,113 4,130 3,953 9 1,020 2006 8,622 3,619 3,482 10 1,511 2007 7,299 2,808 2,877 12 1,602 2008 6,314 2,296 2,823 10 1,184 2009 5,828 2,761 1,850 9 1,209 2010 6,053 3,325 1,452 12 1,264 2011 6,092 3,449 1,388 6 1,248 2012 5,021 2,105 869 13 2,034 2010 January 525 283 130 1 110 February 497 258 131 1 106 March 522 308 119 1 94 Note: This page contains sample records for the topic "rated output power" 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 U.S. Energy Information Administration (EIA) Indexed Site E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 13,694 0 3,118 8,858 1,718 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0 5,807 9,731 1,227 2012 16,310 0 4,180 10,615 1,515 2010 January 1,476 0 518 851 107 February 1,365 0 444 835 86 March 1,572 0 486 992 93 April 1,598 0 495 1,003 100 142 U.S. Energy Information Administration (EIA) Indexed Site B. Petroleum Liquids: Consumption for Useful Thermal Output, B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 12,228 0 286 384 11,558 2003 14,124 0 1,197 512 12,414 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012 3,097 0 992 122 1,984 2010 January 606 0 105 31 470 February 504 0 78 26 401 March 335 0 46 7 281 April 355 0 86 9 260 May 340 0 93 14 232 143 U.S. Energy Information Administration (EIA) Indexed Site E. Natural Gas: Consumption for Useful Thermal Output, E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 885,987 0 267,675 45,359 572,953 2003 762,779 0 250,120 21,238 491,421 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001 486,274 2011 861,006 0 315,411 40,976 504,619 2012 909,087 0 330,354 48,944 529,788 2010 January 74,586 0 27,368 4,148 43,070 February 65,539 0 24,180 3,786 37,573 144 U.S. Energy Information Administration (EIA) Indexed Site 3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 3. Useful Thermal Output by Energy Source: Commerical Sector Combined Heat and Power, 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 18,477 2,600 143 36,265 0 6,902 4,801 69,188 2003 22,780 2,520 196 16,955 0 8,296 6,142 56,889 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155 25,902 0 8,450 5,761 61,420 2010 19,216 845 216 29,791 13 7,917 5,333 63,330 2011 17,234 687 111 24,848 14 7,433 5,988 56,314 145 U.S. Energy Information Administration (EIA) Indexed Site F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 912,218 553,390 243,561 7,229 108,031 2003 1,174,795 658,868 387,341 8,534 120,051 2004 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420 196,346 66,834 2,903 49,336 2010 273,357 188,987 55,444 2,267 26,660 2011 186,753 125,755 39,093 1,840 20,066 2012 153,189 105,179 29,952 2,364 15,695 146 U.S. Energy Information Administration (EIA) Indexed Site B. Natural Gas: Consumption for Useful Thermal Output, B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 860,024 0 263,619 41,435 554,970 2003 721,267 0 225,967 19,973 475,327 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769 46,324 473,683 2011 839,681 0 308,669 39,856 491,155 2012 886,103 0 322,607 47,883 515,613 2010 January 72,867 0 26,791 4,086 41,990 147 U.S. Energy Information Administration (EIA) Indexed Site E. Coal: Consumption for Useful Thermal Output, E. Coal: Consumption for Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 421,084 0 50,041 23,099 347,944 2003 416,700 0 47,817 28,479 340,405 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011 479,822 0 84,855 28,056 366,911 2012 420,923 0 58,275 23,673 338,975 2010 January 44,514 0 8,627 3,445 32,442 February 40,887 0 8,041 3,024 29,823 148 U.S. Energy Information Administration (EIA) Indexed Site F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, F. Wood / Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 1,287,114 10,659 139,532 1,196 1,135,727 2003 1,265,669 16,545 150,745 1,199 1,097,180 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410 1,083,917 2009 1,136,729 29,565 150,481 1,408 955,276 2010 1,225,571 40,167 155,429 1,338 1,028,637 2011 1,240,937 35,474 146,684 1,504 1,057,275 149 U.S. Energy Information Administration (EIA) Indexed Site 1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 1. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2002 - 2012 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2002 336,848 61,313 11,513 708,738 117,513 571,509 48,263 1,855,697 2003 333,361 68,329 16,934 610,122 110,263 632,366 54,960 1,826,335 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816 2008 315,244 29,554 18,263 509,330 110,680 610,131 23,729 1,616,931 2009 281,557 32,591 20,308 513,002 99,556 546,974 33,287 1,527,276 150 SciTech Connect (OSTI) Improvements in technology, low natural gas prices, and more flexible and positive attitudes in government and utilities are making distributed generation more viable. With more distributed generation, notably combined heat and power, comes an increase in the importance of standby rates, the cost of services utilities provide when customer generation is not operating or is insufficient to meet full load. This work looks at existing utility standby tariffs in five states. It uses these existing rates and terms to showcase practices that demonstrate a sound application of regulatory principles and ones that do not. The paper also addresses areas for improvement in standby rates. Sedano, Richard [Regulatory Assistance Partnership; Selecky, James [Brubaker & Associates, Inc.; Iverson, Kathryn [Brubaker & Associates, Inc.; Al-Jabir, Ali [Brubaker & Associates, Inc. 2014-02-01T23:59:59.000Z 151 Gasoline and Diesel Fuel Update (EIA) Coal reports Coal reports Coal Transportation Rates to the Electric Power Sector With Data through 2010 | Release Date: November 16, 2012 | Next Release Date: December 2013 | Correction Previous editions Year: 2011 2004 Go Figure 1. Deliveries from major coal basins to electric power plants by rail, 2010 Background In this latest release of Coal Transportation Rates to the Electric Power Sector, the U.S. Energy Information Administration (EIA) significantly expands upon prior versions of this report with the incorporation of new EIA survey data. Figure 1. Percent of total U.S. rail shipments represented in data figure data Previously, EIA relied solely on data from the U.S. Surface Transportation Board (STB), specifically their confidential Carload Waybill Sample. While valuable, due to the statistical nature of the Waybill data, 152 U.S. Energy Information Administration (EIA) Indexed Site F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 161,803 5,766 132,065 21,953 2,020 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989 132,877 27,868 1,021 2010 162,436 3,322 130,467 27,509 1,138 2011 152,007 3,433 121,648 25,664 1,262 2012 152,045 3,910 117,598 28,923 1,614 2010 January 13,015 244 10,405 2,260 107 153 U.S. Energy Information Administration (EIA) Indexed Site 1. Emissions from Energy Consumption at 1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2002 through 2012 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2002 2,423,963 10,881 5,194 2003 2,445,094 10,646 4,532 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 Notes: The emissions data presented include total emissions from both electricity generation and the production of useful thermal output. See Appendix A, Technical Notes, for a description of the sources and methodology used to develop the emissions estimates. 154 U.S. Energy Information Administration (EIA) Indexed Site C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 22,554 695 18,611 2,952 296 2004 22,330 444 17,959 3,439 488 2005 22,089 560 17,655 3,289 584 2006 22,469 500 18,068 3,356 545 2007 21,796 553 17,885 2,921 437 2008 22,134 509 18,294 3,323 8 2009 22,095 465 17,872 3,622 137 2010 21,725 402 17,621 3,549 152 2011 19,016 388 15,367 3,103 158 2012 18,954 418 14,757 3,577 203 2010 January 1,737 30 1,402 291 14 February 1,562 25 1,276 250 11 March 1,854 36 1,500 306 12 155 SciTech Connect (OSTI) This document provides a range of high, medium, and low case long-term projections of Bonneville Power Administrations (BPA) wholesale power rates and a medium case long-term projection of BPAs wheeling rates. These projections are produced annually by BPA. BPA uses these projections in long-term marketing, resource, transmission, and financial planning assessments. BPAs projections also are used by public utility commissions, utilities, and others for a variety of planning purposes. The analysis used for these rate projections assumes that current rate making methodologies continue into the future and are further based on certain assumptions about regional loads, extra-regional markets, the costs of resources, BPAs financial requirements, and the capability of the regions power plants. While these projections are intended to address the overall uncertainty in rate levels, BPA realizes that the future will not reflect any specific set of assumptions. The rate projections in this document have been prepared prior to the Draft 1993 BPA Marketing Plan, the implementation of which is almost certain to push BPA away from any set of assumptions in this document. Therefore, this document can be thought of as representing the old BPA with its products and policies. It can be viewed as a starting point or reference point to measure the impact of the new BPA with its Marketing Plan, and the broader undertaking referred to as the Competitiveness Project. US Bonneville Power Administration 1993-11-01T23:59:59.000Z 156 SciTech Connect (OSTI) The Federal Columbia River Power System (FCRPS), operated on behalf of the ratepayers of the PNW by BPA and other Federal agencies, faces many uncertainties during the FY 2007-2009 rate period. Among these uncertainties, the largest revolve around hydro conditions, market prices and river operations for fish recovery. In order to provide a high probability of making its U.S. Treasury payments, BPA performs a Risk Analysis as part of its rate-making process. In this Risk Analysis, BPA identifies key risks, models their relationships, and then analyzes their impacts on net revenues (total revenues less expenses). BPA subsequently evaluates in the ToolKit Model the Treasury Payment Probability (TPP) resulting from the rates, risks, and risk mitigation measures described here and in the Wholesale Power Rate Development Study (WPRDS). If the TPP falls short of BPA's standard, additional risk mitigation revenues, such as PNRR and CRAC revenues are incorporated in the modeling in ToolKit until the TPP standard is met. Increased wholesale market price volatility and six years of drought have significantly changed the profile of risk and uncertainty facing BPA and its stakeholders. These present new challenges for BPA in its effort to keep its power rates as low as possible while fully meeting its obligations to the U.S. Treasury. As a result, the risk BPA faces in not receiving the level of secondary revenues that have been credited to power rates before receiving those funds is greater. In addition to market price volatility, BPA also faces uncertainty around the financial impacts of operations for fish programs in FY 2006 and in the FY 2007-2009 rate period. A new Biological Opinion or possible court-ordered change to river operations in FY 2006 through FY 2009 may reduce BPA's net revenues included Initial Proposal. Finally, the FY 2007-2009 risk analysis includes new operational risks as well as a more comprehensive analysis of non-operating risks. Both the operational and non-operational risks will be described in Section 2.0 of this study. Given these risks, if rates are designed using BPA's traditional approach of only adding Planned Net Revenues for Risk (PNRR), power rates would need to recover a much larger ''risk premium'' to meet BPA's TPP standard. As an alternative to high fixed risk premiums, BPA is proposing a risk mitigation package that combines PNRR with a variable rate mechanism similar to the cost recovery adjustment mechanisms used in the FY 2002-2006 rate period. The proposed risk mitigation package is less expensive on a forecasted basis because the rates can be adjusted on an annual basis to respond to uncertain financial outcomes. BPA is also proposing a Dividend Distribution Clause (DDC) to refund reserves in excess of$800M to customers in the event net revenues in the next rate period exceed current financial forecasts.

2005-11-01T23:59:59.000Z

157

E-Print Network [OSTI]

Forecast of Regional Power Output of Wind Turbines Hans Georg Beyer, Detlev Heinemann, Harald of wind turbines connected to the public electricity grid will be intro- duced. Using this procedure and Northern Germany. At the moment, the installed capacity of wind turbines is in the order of magnitude

Heinemann, Detlev

158

E-Print Network [OSTI]

on a shaded solar panel at different hours of a day for several days. After training the neural network, its, building-integrated photovoltaic panels, and portable solar tents, it is common for a solar PV to become output power of a solar photovoltaic array under the non-uniform shadow conditions at a given geographic

159

Gasoline and Diesel Fuel Update (EIA)

Analysis & Projections Analysis & Projections â€¹ See all Coal Reports Rail Coal Transportation Rates to the Electric Power Sector Release Date: June 16, 2011 | Next Release Date: July 2012 | full report Introduction The U.S. Energy Information Administration (EIA) is releasing a series of estimated data based on the confidential, carload waybill sample obtained from the U.S. Surface Transportation Board (Carload Waybill Sample). These estimated data represent a continuation of EIA's data and analysis products related to coal rail transportation. These estimated data also address a need expressed by EIA's customers for more detailed coal transportation rate data. Having accurate coal rail transportation rate data is important to understanding the price of electricity for two main reasons. First,

160

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

Colorado River Storage Project Power Sales Rate History Updated: 10/2/2009 Rate Schedule Effective Dates Energy (Mills/kWh) Capacity ($/kW-mo.) Combined (Mills/kWh) R4-F1 3/62 - 4/74 3.000$1.275 6.000 UC-F1 4/74 - 6/77 3.000 $1.320 6.110 UC-F2 (Firm Only) 6/77 - 1/81 3.400$1.340 6.550 UC-FP2 (Peaking Only) 6/77 - 1/81 N.A. $1.340 N.A. SP-F1 (Firm Only) 1/81 - 6/83 4.000$1.655 7.890 SP-FP1 (Peaking Only) 1/81 - 6/83 N.A. $1.655 N.A. SP-F2 (Firm Only) 6/83 - 9/87 5.000$2.090 9.920 SP-FP2 (Peaking Only) 6/83 - 9/87 N.A. $2.090 N.A. None 10/87 - Present N.A. N.A. N.A. Note: Beginning October 1, 1987, all Colorado River Storage Project power became a Salt Lake City Area Integrated Projects resource. As of that date, direct sales to power customers ceased. Note: This page contains sample records for the topic "rated output power" 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 Science Journals Connector (OSTI) Abstract Low voltage and power output limit the widespread application of marine benthic microbial fuel cell (BMFCs). To increase the cell power, a Fe/Ferric oxide modified anode fabricating by electrolytic deposition is reported here. The novel anode has a lower surface contact angle and higher wettability, which favors the adhesion of bacteria. It is firstly demonstrated that the electrical potential of the modified anode is about ?775 mV, much lower than that of the plain graphite (about ?450 mV). Open circuit potential of BMFC with the modified anode is about 1050 ± 50 mV, while the potential for the plain cells is only 700 ± 50 mV. In comparison with the plain graphite, the modified anode presents a 393-fold exchange current density and a higher kinetic activity. The output power reaches 7.4 × 10?2 mW cm?2, 17.4-fold higher than that of the plain graphite. A composite mechanism of both chemical and microbial enhancement of the modified anode is proposed to explain its excellent electrochemical performance. The modified anode has potential for high-power output cell and novel voltage-booster design to make the BMFC utilization feasibility. Yubin Fu; Qian Xu; Xuerong Zai; Yuanyuan Liu; Zhikai Lu 2014-01-01T23:59:59.000Z 162 SciTech Connect (OSTI) The purpose of this testimony is to provide the context and background to the financial and risk policy objectives for BPA's WP-07 Initial Proposal. The testimony contains eight sections. The first is this introduction. Section 2 provides background regarding BPA's Subscription Strategy and the Subscription contracts to which the WP-07 rates will apply. Section 3 describes the financial policy objectives considered when establishing the WP-07 rates. Section 4 describes BPA's risk profile, the risk mitigation tools used in prior rate periods, those proposed here, and additional tools under consideration for the FY 2007-2009 rate period. Section 5 describes financial policy directives and decisions that have shaped the WP-07 Initial Proposal. Section 6 describes the uncertainties of the current litigation regarding the National Marine Fisheries Service (NMFS) Federal Columbia River Power System (FCRPS) Biological Opinion and how it is addressed in this proposal. Section 7 briefly discusses the risk mitigation package in the WP-07 Initial Proposal. Finally, Section 8 describes some liquidity tools that may be incorporated into final studies if circumstances allow. United States. Bonneville Power Administration. 2005-11-01T23:59:59.000Z 163 Science Journals Connector (OSTI) Every discrete-event simulation experiment with random input generates random sample paths as output. Each path usually consists of a sequence of dependent observations that serve as the raw material for estim... George S. Fishman 2001-01-01T23:59:59.000Z 164 Broader source: Energy.gov (indexed) [DOE] DEPARTMENT OF ENERGY Western Area Power Administration Provo River Project Rate Order No. WAPA-149 AGENCY: Western Area Power Administration, DOE. ACTION: Notice of Rate Order Concerning a Power Rate Formula. SUMMARY: The Deputy Secretary of Energy confinned and approved Rate Order No. W AP A-149, placing a power rate fOlIDula for the Provo River Project (PRP) of Western Area Power Administration (Western) into effect on an interim basis. The provisional power rate formula will remain in effect on an interim basis until the Federal Energy Regulatory Commission (FERC) COnfilIDs, approves, and places it into effect on a final basis, or until the power rate formula is replaced by another power rate fOlIDula. DATES: The provisional power rate fonnula will be placed into effect on an interim basis on 165 U.S. Energy Information Administration (EIA) Indexed Site 3. Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors... 166 Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)] - Electricity Purchases, 2002 through 2012 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total... 167 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Salt Lake City Area Integrated Projects Power Sales Rate History Updated: 9/11/2013 Rate Schedule Effective Dates Energy (Mills/kWh) Capacity ($/kW-mo.) Combined (Mills/kWh) 1/ Composite (Mills/kWh) 2/ SLIP-F1 10/87-9/90 5.000 $2.09 9.92 - SLIP-F2 10/90-11/91 7.250$3.08 14.5 - SLIP-F3 12/91-9/92 8.100 $3.44 16.2 - SLIP-F4 10/92-9/94 8.400$3.54 16.72 - SLIP-F5 12/94-4/98 8.900 $3.83 - 20.17 SLIP-F6 4/98-9/02 8.100$3.44 - 17.57 SLIP-F7 10/02-9/06 9.500 $4.04 - 20.72 SLIP-F8 10/06-9/08 10.430$4.43 - 25.28 SLIP-F9 (First Step) 10/08-9/09 11.060 $4.70 - 26.80 SLIP-F9 (Second Step) 10/09-Present 12.190$5.18 - 29.62 The Salt Lake City Area Integrated Projects is a combination of resources from the Collbran, CRSP, and Rio Grande Projects. 1/ Combined rates are calculated with a load factor which is assumed to be constant over a given period. In the SLCA/IP, the load factor is considered to be 58.2 percent.

168

E-Print Network [OSTI]

Experimental study of biogas combustion characteristics andthe operation range of a biogas HCCI engine for powerOperating Conditions in a Biogas Fueled HCCI Engine for

Saxena, Samveg

2011-01-01T23:59:59.000Z

169

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

Planning & Projects Planning & Projects Power Marketing Rates You are here: SN Home page > Power Marketing > RATES Rates and Repayment Services Rates Current Rates Power Revenue Requirement Worksheet (FY 2014) (Oct 2013 - Sep 2014) (PDF - 30K) PRR Notification Letter (Sep 27, 2013) (PDF - 959K) FY 2012 FP% True-Up Calculations(PDF - 387K) Variable Resource Scheduling Charge FY12-FY16 (October 1, 2012) PRR Forecast FY14-FY17 (May 23, 2013) (PDF - 100K) Forecasted Transmission Rates (May 2013) (PDF - 164K) Past Rates 2013 2012 2011 2010 2009 Historical CVP Transmission Rates (April 2013) (PDF - 287K) Rate Schedules Power - CV-F13 - CPP-2 Transmission - CV-T3 - CV-NWT5 - PACI-T3 - COTP-T3 - CV-TPT7 - CV-UUP1 Ancillary - CV-RFS4 - CV-SPR4 - CV-SUR4 - CV-EID4 - CV-GID1 Federal Register Notices - CVP, COTP and PACI

170

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

Marketing > RATES Marketing > RATES RATES Current Rates Past Rates 2006 2007 2008 2009 2010 2011 2012 Rates Schedules Power CV-F13 CPP-2 Transmissions CV-T3 CV-NWT5 PACI-T3 COTP-T3 CV-TPT7 CV-UUP1 Ancillary CV-RFS4 CV-SPR4 CV-SUR4 CV-EID4 CV-GID1 Future and Other Rates SNR Variable Resource Scheduling Charge FY12-FY16 (October 1, 2012) SNR Rates Process Calendar (PDF - 171K) Procedures Informal Process Transmission Action Items List (PDF - 144K) Power Action Item List updated on 4-27-10 (PDF - 155K) Power Action Item List (Quick links to relevant documents) Formal Process Rates Brochure (01/11/2011) (PDF - 900K) Appendix A - Federal Register Notice (01/03/2011) (PDF - 8000K) Appendix B - Central Valley Project Power Repayment Study (PDF - 22,322K) Appendix C - Development of the CVP Cost of Service Study (PDF - 2038K)

171

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

RATES RATES Rates Document Library SNR Rates Process Calendar (PDF - 171K) Procedures Informal Process Transmission Action Items List (PDF - 144K) Power Action Item List updated on 4-27-10 (PDF - 155K) Power Action Item List (Quick links to relevant documents) Formal Process Rates Brochure (01/11/2011) (PDF - 900K) Appendix A - Federal Register Notice (01/03/2011) (PDF - 8000K) Appendix B - Central Valley Project Power Repayment Study (PDF - 22,322K) Appendix C - Development of the CVP Cost of Service Study (PDF - 2038K) Appendix D - Western Transmission System Facilities Map (PDF - 274K) Appendix E - Estimated FY12 FP and BR Customer (PDF - 1144K) Appendix F - Forecasted Replacements and Additions FY11 - FY16 (PDF - 491K) Appendix G - Definitions (PDF - 1758K) Appendix H - Acronyms (PDF - 720K)

172

Science Journals Connector (OSTI)

Abstract Nowadays, multi-source systems based on renewable energy technologies become the key to a sustainable energy supply infrastructure against the rising cost and the pollutant nature of fossil primary energy used in conventional power plant. However, the cost of renewable energy technologies and the reliability of a multi-sources generation system are generally conflicting with each other. This paper presents a multiobjective formulation to allow optimizing simultaneously both the annualized renewable energy cost the system reliability defined as the renewable energy - load disparity (RELD). This later takes into account the lack of energy as well as the exceed weighted by a penalty factor. The optimization is reach by acting on the penetration rate of each type of renewable generation technologies in order to satisfy a certain load curve. In order to solve this problem, this work suggests to use the fast and elitist multiobjective genetic algorithm: NSGA-II. A case study shows that the use of diversified resources allows to handle the RELD and to decrease the exceed renewable energy (RERE) and load energy notsupplied (LENS).

Hasnae Bilil; Ghassane Aniba; Mohamed Maaroufi

2014-01-01T23:59:59.000Z

173

E-Print Network [OSTI]

Load Data .and Swing rate season load- data analysis Tariff Periodperiods used for the Summer and Swing rate season load-data

Peters, Jane S.

2010-01-01T23:59:59.000Z

174

Science Journals Connector (OSTI)

One of the most obvious early market applications for thermoelectric generators (TEG) is decentralized micro combined heat and power (CHP) installations of 0.5 kWe to 5 ... possible to increase the electricity pr...

L. A. Rosendahl; Paw V. Mortensen; Ali A. Enkeshafi

2011-05-01T23:59:59.000Z

175

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

4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks...

176

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

2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, 2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2012 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum as the Primary Fuel Net Summer Capacity of Petroleum-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric Utilities 26,732 7,640 28.6 7,224 Independent Power Producers, Non-Combined Heat and Power Plants 18,644 7,867 42.2 6,628 Independent Power Producers, Combined Heat and Power Plants 317 -- -- -- Electric Power Sector Subtotal 45,693 15,507 33.9 13,852 Commercial Sector 443 21 4.8 21

177

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule CP&L-2-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download CP&L-2-B Rate Schedule

178

1-B Wholesale Power Rate Schedule 1-B Wholesale Power Rate Schedule CP&L-1-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted and scheduled pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download CP&L-1-B Rate Schedule

179

E-Print Network [OSTI]

Measurements of Film Flow Rate in Heated Tubes with Various Axial Power Distributions by Carl, Measurements of Film Flow Rate in Heated Tubes with Various Axial Power Distributions KTH Nuclear Reactor power is limited by a phenomenon called critical heat flux (CHF). It appears as a sudden detoriation

Haviland, David

180

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

4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" 4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2012 and 2011" "(dollars per short ton)" ,2012,,,,2011,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and State","Power1","Industrial",,"and","Power1","Industrial",,"and","Power1","Industrial",,"and" ,,,,"Institutional",,,,"Institutional",,,,"Institutional" "New England",88.32,165.17,"-","-",87.62,"w","-","-",0.8,"w","-","-"

Note: This page contains sample records for the topic "rated output power" 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

Science Journals Connector (OSTI)

...implications for muscle function. J. Physiol. 512, 603614. Marsh, R. L. 1999 How do muscles deal with real-world loads...Exp. Biol. 202, 33773385. Peplowski, M. M. & Marsh, R. L. 1997 Work and power out- put in the hindlimb muscles...

2003-01-01T23:59:59.000Z

182

E-Print Network [OSTI]

summation circuit. A RC low pass filter with automatic tuning is designed to further attenuate unwanted harmonics. In this work, the filter's post layout simulation shows -53dB THD and harmonics above 800MHz attenuation of -99dB. The power consumption...

Huang, Shan

2011-08-08T23:59:59.000Z

183

3-B Wholesale Power Rate Schedule 3-B Wholesale Power Rate Schedule CP&L-3-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be scheduled pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download

184

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

4. Existing Capacity by Producer Type, 2012 (Megawatts) 4. Existing Capacity by Producer Type, 2012 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,624 680,592 621,785 644,358 Independent Power Producers, Non-Combined Heat and Power Plants 6,148 412,045 374,964 389,349 Independent Power Producers, Combined Heat and Power Plants 609 39,916 35,266 38,023 Total 16,381 1,132,554 1,032,015 1,071,729 Commercial and Industrial Sectors Commercial Sector 962 3,610 3,223 3,349 Industrial Sector 1,680 31,832 27,795 29,381 Total 2,642 35,442 31,018 32,730 All Sectors Total 19,023 1,167,995 1,063,033 1,104,459 Notes: In 2011, EIA corrected the NAICS codes of several plants which resulted in a net capacity shift from the electric utility sector to the commercial sector.

185

Open Energy Info (EERE)

186

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

9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic -- W W -- -- -- W New Jersey -- -- -- -- -- -- -- New York -- W W -- -- -- W Pennsylvania -- -- -- -- -- -- -- East North Central W W W 4.10 4.01 W W

187

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

7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" 7. Year-End Coal Stocks by Sector, Census Division, and State, 2012 and 2011" "(thousand short tons)" ,2012,,,,,2011,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2012,2011,"Percent" "and State","Power1","Industrial",,"and","and","Power1","Industrial",,"and","and",,,"Change" ,,,,"Institutional","Distributor",,,,"Institutional","Distributor" "New England",1030,13,"-","-","-",1389,"w","-","-","-",1042,"w","w"

188

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

6 13 BONNEVILLE POWER ADMINISTRATION FOR IMMEDIATE RELEASE Wednesday, July 24, 2013 CONTACT: Teresa Waugh, 503-230-7536 Doug Johnson, 503-230-5840 or 503-230-5131 BPA adopts new...

189

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

1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2002 - 2012 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2002 141,714 43,935 1,711 116,952 29,601 328 24,761 14,334 1,383 2003 121,567 45,752 1,484 97,831 28,062 378 23,736 17,691 1,105 2004 106,669 46,750 937 84,917 29,144 627 21,751 17,607 309 2005 101,137 47,414 530 77,457 29,532 374 23,680 17,882 156 2006 140,964 48,216 674 110,277 29,799 456 30,688 18,416 217

190

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

2. Electric Power Industry - Electricity Sales for Resale, 2. Electric Power Industry - Electricity Sales for Resale, 2002 through 2012 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2002 1,838,901 5,757,283 943,531 28,963 8,568,678 2003 1,824,030 3,906,220 1,156,796 33,909 6,920,954 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399 1,295,857 33,139 5,065,031 2010 1,541,554 2,946,452 1,404,137 37,068 5,929,211 2011 1,529,434 2,206,981 1,372,306 34,400 5,143,121

191

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

5. Net Generation from Hydroelectric (Pumped Storage) Power 5. Net Generation from Hydroelectric (Pumped Storage) Power by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England -305 -435 -29.9% 0 0 -305 -435 0 0 0 0 Connecticut 3 6 -51.5% 0 0 3 6 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -308 -440 -30.1% 0 0 -308 -440 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic -1,022 -1,124 -9.0% -579 -630 -443 -494 0 0 0 0

192

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

. Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2002 through 2012 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2002 633 1,147 1,649 40 66 1,426 682 38 28 2003 629 1,166 1,693 40 66 1,425 741 38 27 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076 39 29 2009 593 1,168 1,652 43 66 1,427 1,219 39 28 2010 580 1,169 1,657 48 66 1,432 1,355 39 32

193

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

1. Total Electric Power Industry Summary Statistics, 2012 and 2011 1. Total Electric Power Industry Summary Statistics, 2012 and 2011 Net Generation and Consumption of Fuels for January through December Total (All Sectors) Electric Power Sector Commercial Industrial Electric Utilities Independent Power Producers Fuel Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Net Generation (Thousand Megawatthours) Coal 1,514,043 1,733,430 -12.7% 1,146,480 1,301,107 354,076 416,783 883 1,049 12,603 14,490 Petroleum Liquids 13,403 16,086 -16.7% 9,892 11,688 2,757 3,655 191 86 563 657 Petroleum Coke 9,787 14,096 -30.6% 5,664 9,428 1,758 3,431 6 3 2,359 1,234 Natural Gas 1,225,894 1,013,689 20.9% 504,958 414,843 627,833 511,447 6,603 5,487 86,500 81,911

194

E-Print Network [OSTI]

shifts between periods. Finally, higher variable costs, incurred if power stations are operated below their optimal rating, are allocated to the locally lowest de- mand. For inflexible power stations like nuclear, combined cycle gas turbines or coal... the start of the station has to be decided several hours before delivering output. At the earlier time there is still uncertainty about the future demand, possible failures of power stations and predictions for wind-output. We represent the uncertainty...

Musgens, Felix; Neuhoff, Karsten

2006-03-14T23:59:59.000Z

195

Science Journals Connector (OSTI)

The Cretaceous Okhotsk–Chukotka volcanic belt (OCVB) is a prominent subduction-related magmatic province, having the remarkably high proportion of silicic rocks (ca. 53% of the present-day crop area, and presumably over 70% of the total volcanic volume). Its estimated total extrusive volume ranges between 5.5 × 105 km3 (the most conservative estimate) and over 106 km3. This article presents a brief outline of the geology of OCVB, yet poorly described in international scientific literature, and results of a geochronological study on the northern part of the volcanic belt. On the base of new and published U–Pb and 40Ar/39Ar age determinations, a new chronological model is proposed. Our study indicates that the activity of the volcanic belt was highly discontinuous and comprised at least five main episodes at 106–98 Ma, 94–91 Ma, 89–87 Ma, 85.5–84 Ma, and 82–79 Ma. The new data allow a semi-quantitative estimate of the volcanic output rate for the observed part of the OCVB (area and volume approximately 105 km2 and 2.5 × 105 km3, respectively). The average extrusion rate for the entire lifetime of the volcanic belt ranges between 1.6 and 3.6 × 10? 5 km3yr? 1 km? 1, depending on the assumed average thickness of the volcanic pile; the optimal value is 2.6 × 10? 5 km3yr? 1 km? 1. Despite imprecise, such estimates infer the time-averaged volcanic productivity of the OCVB is similar to that of silicic \\{LIPs\\} and most active recent subduction-related volcanic areas of the Earth. However, the most extensive volcanic flare-ups at 89–87 and 85.5-84 Ma had higher rates of over 9.0 × 10? 5 km3yr? 1 km? 1. The main volumetric, temporal and compositional parameters of the OCVB are similar to those of silicic LIPs. This gives ground for discussion about the geodynamic setting of the latters, because the widely accepted definition of a LIP implies a strictly intraplate environment. Considering the genesis of the OCVB and other large provinces of silicic volcanism, we propose that residual thermal energy preserved in the continental crust after a previous major magmatic event may have been one of major reasons for high proportion of felsic rocks in a volcanic pile. In this scenario, underplating of mantle-derived basalts causes fast and extensive melting of still hot continental crust and generation of voluminous silicic magmas.

P.L. Tikhomirov; E.A. Kalinina; T. Moriguti; A. Makishima; K. Kobayashi; I.Yu. Cherepanova; E. Nakamura

2012-01-01T23:59:59.000Z

196

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

1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 56 121 -54% 0 0 0 94 0 0 56 27

197

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

3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2012 3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2012 Bituminous Subbituminous Lignite Census Division and State Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight New England 732 0.87 10.5 41 0.09 2.0 0 -- -- Connecticut 0 -- -- 41 0.09 2.0 0 -- -- Maine 32 0.80 7.0 0 -- -- 0 -- -- Massachusetts 700 0.88 10.7 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- -- 0 -- --

198

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

1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2012 1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2012 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Electric Utilities 206,774 78,346 37.9 74,835 23,624 Independent Power Producers, Non-Combined Heat and Power Plants 170,654 42,509 24.9 40,788 12,216

199

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

3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2012 and 2011 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2012 December 2011 Percentage Change December 2012 December 2011 December 2012 December 2011 Coal (Thousand Tons) New England 1,030 1,389 -25.9% W W W W Middle Atlantic 7,553 7,800 -3.2% W W W W East North Central 36,139 37,262 -3.0% 27,069 27,316 9,070 9,946 West North Central 30,554 28,544 7.0% 30,554 28,544 0 0 South Atlantic 38,859 36,920 5.3% 35,527 33,163 3,331 3,757 East South Central 19,657 17,185 14.4% 19,657 17,185 0 0 West South Central 28,807 22,910 25.7% 17,047 15,125 11,760 7,785

200

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

4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 4. Stocks of Coal by Coal Rank: Electric Power Sector, 2002 - 2012 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2002 70,704 66,593 4,417 141,714 2003 57,716 59,884 3,967 121,567 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2010, End of Month Stocks January 86,354 86,893 4,845 178,091 February 82,469 83,721 4,836 171,026 March 86,698 86,014 5,030 177,742 April 92,621 89,545 7,095 189,260 May 93,069 91,514 7,085 191,669

Note: This page contains sample records for the topic "rated output power" 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
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201

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

202

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

203

SciTech Connect (OSTI)

Paper presented at the 29th IECEC in Monterey, CA in August 1994. A companion paper analyzed the effect on source modules for three specific fuel options, and compared the predicted power output with JPL's latest goals for the Pluto Fast Flyby (PFF) mission. The results showed that a 5-module RTG cannot fully meet JPL's goals with any of the available fuels; and that a 6-module RTG more than meets those goals with Russian fuel, almost meets them with U.S. (Cassini-type) fuel, but still falls far short of meeting them with the depleted fuel from the aged (1982) Galileo spare RTG. The inadequacy of the aged fuel was disappointing,because heat source modules made from it already exist, and their use in PFF could result in substantial cost savings. The present paper describes additional analyses which showed that a six-module RTG with the aged fuel can meet JPL's stipulated power margin with a relatively simple design modification, that a second design modification makes it possible to recover all of the mass and size penalty for going from five to six heat source modules, and that a third modification could raise the EOM power margin to 16%.

Schock, Alfred; Or, Chuen T; Kumar, Vasanth

1994-08-01T23:59:59.000Z

204

SciTech Connect (OSTI)

A companion paper analyzed the effect on source modules for three specific fuel options, and compared the predicted power output with JPL's latest goals for the Pluto Fast Flyby (PFF) mission. The results showed that a 5-module RTG cannot fully meet JPL's goals with any of the available fuels; and that a 6-module RTG more than meets those goals with Russian fuel, almost meets them with U.S. (Cassini-type) fuel, but still falls far short of meeting them with the depleted fuel from the aged (1982) Galileo spare RTG. The inadequacy of the aged fuel was disappointing,because heat source modules made from it already exist, and their use in PFF could result in substantial cost savings. The present paper describes additional analyses which showed that a six-module RTG with the aged fuel can meet JPL's stipulated power margin with a relatively simple design modification, that a second design modification makes it possible to recover all of the mass and size penalty for going from five to six heat source modules, and that a third modification could raise the EOM power margin to 16%. There are four copies in the file. Cross Reference ESD Files FSC-ESD-217-94-531 (CID #8572)

Schock, Alfred; Or, Chuen T; Kumar, Vasanth

1994-06-01T23:59:59.000Z

205

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

7. U.S. Coal Stocks, 2007 - 2013" 7. U.S. Coal Stocks, 2007 - 2013" "(thousand short tons)" ,"Coal Consumers" "Last Day of Quarter","Electric","Coke","Other","Commercial","Total","Coal Producers","Total" ,"Power","Plants","Industrial2","and",,"and" ,"Sector1",,,"Institutional Users",,"Distributors" 2007 " March 31",141389,2444,5756,"-",149588,34007,183595 " June 30",154812,2364,5672,"-",162849,32484,195333 " September 30",142666,1972,5811,"-",150448,30090,180538 " December 31",151221,1936,5624,"-",158781,33977,192758

206

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

U.S. Coal Consumption by End-Use Sector, 2007 - 2013" U.S. Coal Consumption by End-Use Sector, 2007 - 2013" "(thousand short tons)" ,,,"Other Industrial",,,"Commercial and Institutional" "Year and","Electric","Coke","CHP2","Non-","Total","CHP4","Non-","Total","Total" "Quarter","Power","Plants",,"CHP3",,,"CHP5" ,"Sector1" 2007 " January - March",257516,5576,5834,8743,14578,547,510,1058,278727 " April - June",246591,5736,5552,8521,14074,426,279,705,267106 " July - September",283556,5678,5546,8180,13725,458,247,705,303665 " October - December",257478,5726,5605,8634,14238,495,563,1058,278500

207

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

5. Emissions from Energy Consumption at 5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2011 and 2012 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 34,766 37,698 33 58 39 37 Connecticut 8,987 8,196 7 1 12 6 Maine 3,722 4,351 8 12 7 8 Massachusetts 14,346 16,404 15 22 14 14 New Hampshire 4,295 5,127 2 23 4 5 Rhode Island 3,403 3,595 0.03 0.07 2 3 Vermont 12 24 0.05 0.09 1 1 Middle Atlantic 161,786 171,603 275 370 187 203 New Jersey 16,120 16,917 4 5 14 13 New York 35,669 37,256 31 52 40 43 Pennsylvania 109,997 117,430 240 313 133 147

208

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

3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 3.A. Net Generation by Energy Source: Independent Power Producers, 2002 - 2012 (Thousand Megawatthours) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Renewable Sources Excluding Hydroelectric Hydroelectric Pumped Storage Other Total Annual Totals 2002 395,943 22,241 8,368 378,044 1,763 272,684 18,189 44,466 -1,309 8,612 1,149,001 2003 452,433 35,818 7,949 380,337 2,404 304,904 21,890 46,060 -1,003 8,088 1,258,879 2004 443,547 33,574 7,410 427,510 3,194 312,846 19,518 48,636 -962 7,856 1,303,129 2005 507,199 37,096 9,664 445,625 3,767 345,690 21,486 51,708 -1,174 6,285 1,427,346 2006 498,316 10,396 8,409 452,329 4,223 361,877 24,390 59,345 -1,277 6,412 1,424,421

209

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

9. Consumption of Coal for Electricity Generation by State by Sector, 9. Consumption of Coal for Electricity Generation by State by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 1,787 2,998 -40% 520 898 1,257 2,087 0 0 10 12 Connecticut 297 317 -6.5% 0 0 297 317 0 0 0 0 Maine 11 14 -18% 0 0 6 7 0 0 5 6 Massachusetts 959 1,769 -46% 0 0 954 1,763 0 0 5 6 New Hampshire 520 898 -42% 520 898 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 44,000 53,658 -18% 6 16 43,734 53,052 4 1 256 589

210

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

D. Petroleum Liquids: Consumption for Electricity Generation, D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 835,481 553,390 241,892 3,953 36,243 2003 1,089,307 658,868 380,378 5,358 44,702 2004 1,031,954 651,712 350,093 4,544 25,606 2005 1,035,045 618,811 387,355 3,469 25,410 2006 459,392 335,130 105,312 1,963 16,987 2007 512,423 355,999 139,977 1,505 14,942 2008 332,367 242,379 79,816 957 9,215 2009 266,508 196,346 59,277 1,101 9,784 2010 244,114 188,987 49,042 970 5,115 2011 163,954 125,755 33,166 801 4,233 2012 134,956 105,179 24,081 1,618 4,078 2010 January 33,737 26,715 6,282 100 639

211

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

D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 605,054 10,659 129,947 469 463,980 2003 519,294 16,545 139,852 437 362,460 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010 349,530 40,167 137,072 274 172,016 2011 347,623 35,474 130,108 482 181,559 2012 390,342 32,723 138,217 478 218,924 2010 January 29,578 3,731 11,954 23 13,870

212

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

8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 18.64 W W 21.43 21.12 18.47 W Connecticut W 21.91 W 23.87 NM W 21.93 Maine W W W -- NM W W Massachusetts 17.17 19.76 -13% 17.45 NM 17.16 19.66 New Hampshire 23.23 W W 23.23 19.90 -- W Rhode Island -- W W -- NM -- W Vermont 24.11 NM NM 24.11 NM -- -- Middle Atlantic W 20.15 W 21.01 19.21 W 20.66 New Jersey 19.77 18.36 7.7% -- NM 19.77 20.28 New York W 19.66 W 21.01 20.00 W 19.36 Pennsylvania 21.84 22.19 -1.6% -- NM 21.84 22.19

213

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

7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2002 3,710,847 182,482 1.37 27.96 1.15 87.0 186,271 30,043 4.19 25.98 0.61 76.4 2003 4,365,996 223,984 1.34 26.20 1.15 90.4 347,546 56,138 5.41 33.50 0.58 89.7 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011 54,152 5.35 33.31 0.61 93.6 2005 4,459,333 229,071 1.56 30.39 1.10 83.0 381,871 61,753 8.30 51.34 0.54 97.2

214

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

D. Coal: Consumption for Electricity Generation, D. Coal: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 19,996,890 15,517,857 4,215,043 9,168 254,821 2003 20,366,879 15,391,188 4,745,545 13,080 217,066 2004 20,375,751 15,610,335 4,606,584 8,251 150,581 2005 20,801,716 15,397,688 5,250,824 8,314 144,889 2006 20,527,410 15,211,077 5,166,001 7,526 142,807 2007 20,841,871 15,436,110 5,287,202 7,833 110,727 2008 20,548,610 15,189,050 5,242,194 8,070 109,296 2009 18,240,611 13,744,178 4,390,596 7,007 98,829 2010 19,196,315 14,333,496 4,709,686 6,815 146,318 2011 18,074,298 13,551,416 4,399,144 7,263 116,475

215

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

A. Natural Gas: Consumption for Electricity Generation, A. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,126,062 2,259,684 3,148,595 32,545 685,239 2003 5,616,135 1,763,764 3,145,485 38,480 668,407 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009 7,121,069 2,911,279 3,655,712 34,279 519,799 2010 7,680,185 3,290,993 3,794,423 39,462 555,307 2011 7,883,865 3,446,087 3,819,107 47,170 571,501

216

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

2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 460,887 461,590 -0.2% 3,652 4,218 428,781 432,350 8,630 6,287 19,824 18,735 Connecticut 120,380 110,546 8.9% 69 730 113,620 105,965 3,952 2,061 2,739 1,790 Maine 44,424 49,352 -10% 0 0 28,456 33,555 307 12 15,662 15,785 Massachusetts 184,330 190,063 -3.0% 2,792 2,393 176,497 182,865 3,749 3,761 1,293 1,045 New Hampshire 50,678 46,927 8.0% 754 1,046 49,655 45,765 139 0 131 115

217

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

D. Other Waste Biomass: Consumption for Electricity Generation, D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 34,775 2,456 15,859 4,566 11,894 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790 8,090 2011 30,771 4,488 16,115 3,816 6,352 2012 30,342 4,191 15,740 4,016 6,395 2010 January 2,223 189 1,078 321 635 February 2,336 275 1,208 291 561 March 2,287 311 1,079 302 594

218

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

6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 6. Receipts of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 440,421 484,260 -9.1% 3,652 4,226 419,062 434,504 3,636 13,156 14,072 32,373 Connecticut 112,084 116,563 -3.8% 71 738 112,012 107,121 0 3,210 0 5,494 Maine 42,374 56,230 -25% 0 0 28,302 33,578 0 NM 14,072 22,639 Massachusetts 175,314 198,295 -12% 2,789 2,393 168,890 184,156 3,636 7,872 0 3,875 New Hampshire 50,408 47,137 6.9% 754 1,046 49,655 45,725 0 0 0 NM

219

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

A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 21,196 695 18,300 2,087 115 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388 14,625 1,955 4 2012 16,968 418 14,235 2,304 12 2010 January 1,546 30 1,332 184 0 February 1,384 25 1,215 144 0 March 1,650 36 1,434 180 0 April 1,655 33 1,426 196 0

220

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

3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 3. Consumption of Landfill Gas for Electricity Generation by State, by Sector, 2012 and 2011 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 9,595 9,945 -3.5% 0 0 9,074 9,945 520 0 0 0 Connecticut 595 624 -4.6% 0 0 595 624 0 0 0 0 Maine 518 524 -1.0% 0 0 518 524 0 0 0 0 Massachusetts 3,603 3,623 -0.6% 0 0 3,603 3,623 0 0 0 0 New Hampshire 1,790 1,485 21% 0 0 1,270 1,485 520 0 0 0 Rhode Island 2,409 3,037 -21% 0 0 2,409 3,037 0 0 0 0

Note: This page contains sample records for the topic "rated output power" 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

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

A. Landfill Gas: Consumption for Electricity Generation, A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 136,421 9,168 121,984 3,280 1,989 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975 192,428 5,535 393 2011 232,795 22,086 180,856 29,469 384 2012 256,376 25,193 201,965 26,672 2,545 2010 January 17,531 1,715 15,323 461 32 February 16,189 1,653 14,120 384 33

222

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

. Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2002 884,287 0.94 1.25 25.52 120,851 1.64 3.34 20.77 5,607,737 3.56 1.86 2003 986,026 0.97 1.28 26.00 185,567 1.53 4.33 26.78 5,500,704 5.39 2.28 2004 1,002,032 0.97 1.36 27.42 186,655 1.66 4.29 26.56 5,734,054 5.96 2.48 2005 1,021,437 0.98 1.54 31.20 194,733 1.61 6.44 39.65 6,181,717 8.21 3.25

223

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

A. Petroleum Coke: Consumption for Electricity Generation, A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,836 2,125 3,580 2 1,130 2003 6,303 2,554 3,166 2 582 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1 812 2010 January 433 283 121 0.17 29 February 404 258 120 0.15 25 March 438 308 108 0.19 23 April 382 253 107 0.12 22 May 415 261 129 0 25

224

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

4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 4. Consumption of Biogenic Municipal Solid Waste for Electricity Generation by State, by Sector, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,041 4,122 -2.0% 0 0 3,838 3,922 203 200 0 0 Connecticut 1,415 1,442 -1.9% 0 0 1,415 1,442 0 0 0 0 Maine 440 445 -1.3% 0 0 237 246 203 200 0 0 Massachusetts 2,017 2,063 -2.2% 0 0 2,017 2,063 0 0 0 0 New Hampshire 169 172 -2.0% 0 0 169 172 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0

225

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

6. Net Generation from Other Energy Sources 6. Net Generation from Other Energy Sources by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 2,153 2,019 6.7% 0 0 1,944 1,888 88 84 121 46 Connecticut 756 705 7.3% 0 0 756 704 0 0 0 1 Maine 424 390 8.7% 0 0 245 261 88 84 92 45 Massachusetts 906 860 5.5% 0 0 877 860 0 0 29 0 New Hampshire 66 64 2.6% 0 0 66 64 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 2,497 2,441 2.3% 0 0 1,924 1,975 465 344 107 122

226

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

. Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2002 through 2012 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2002 423,128 1.47 10.1 391,785 0.36 6.2 65,555 0.93 13.3 2003 467,286 1.50 10.0 432,513 0.38 6.4 79,869 1.03 14.4 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677 1.02 14.0 2006 489,550 1.59 10.5 504,947 0.35 6.1 75,742 0.95 14.4 2007 467,817 1.62 10.3 505,155 0.34 6.0 71,930 0.90 14.0

227

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

D. Landfill Gas: Consumption for Electricity Generation, D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 65,770 3,930 59,089 1,753 998 2004 69,331 5,373 60,514 2,093 1,351 2005 67,902 5,650 58,624 2,360 1,269 2006 75,970 8,287 63,950 3,388 345 2007 79,712 8,620 68,432 2,344 316 2008 94,215 10,242 81,029 2,668 276 2009 99,821 9,748 86,773 2,999 301 2010 105,835 10,029 92,763 2,837 205 2011 112,538 11,146 89,857 11,332 203 2012 124,297 12,721 99,938 10,356 1,282 2010 January 8,441 853 7,335 236 17 February 7,824 830 6,781 197 17 March 9,056 1,013 7,796 226 21

228

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

D. Natural Gas: Consumption for Electricity Generation, D. Natural Gas: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 6,249,585 2,307,358 3,214,286 30,626 697,315 2003 5,735,770 1,809,003 3,200,057 39,424 687,286 2004 5,827,470 1,857,247 3,351,469 33,623 585,132 2005 6,212,116 2,198,098 3,444,875 34,645 534,498 2006 6,643,926 2,546,169 3,508,597 35,473 553,687 2007 7,287,714 2,808,500 3,872,646 34,872 571,697 2008 7,087,191 2,803,283 3,712,872 34,138 536,899 2009 7,301,522 2,981,285 3,750,080 35,046 535,111 2010 7,852,665 3,359,035 3,882,995 40,356 570,279 2011 8,052,309 3,511,732 3,906,484 48,509 585,584

229

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

A. Petroleum Liquids: Consumption for Electricity Generation, A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2002 134,415 88,595 39,035 826 5,959 2003 175,136 105,319 61,420 882 7,514 2004 165,107 103,793 56,342 760 4,212 2005 165,137 98,223 62,154 580 4,180 2006 73,821 53,529 17,179 327 2,786 2007 82,433 56,910 22,793 250 2,480 2008 53,846 38,995 13,152 160 1,538 2009 43,562 31,847 9,880 184 1,652 2010 40,103 30,806 8,278 164 855 2011 27,326 20,844 5,633 133 716 2012 22,604 17,521 4,110 272 702 2010 January 5,587 4,381 1,083 17 106 February 2,156 1,599 454 15 88

230

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

D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2002 - 2012 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2003 148,110 5,766 128,947 13,095 302 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934 3,322 124,437 17,176 0 2011 135,241 3,433 115,841 15,933 34 2012 135,735 3,910 113,418 18,307 100 2010 January 11,540 244 9,886 1,410 0 February 10,313 190 9,030 1,094 0

231

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

0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.69 4.94 -25% 4.73 5.70 3.68 4.93 Connecticut 3.88 4.97 -22% 6.45 NM 3.87 4.96 Maine W W W -- -- W W Massachusetts 3.55 4.88 -27% 4.47 5.75 3.53 4.87 New Hampshire W W W 5.54 6.01 W W Rhode Island 3.86 5.01 -23% -- -- 3.86 5.01 Vermont 4.06 5.22 -22% 4.06 5.22 -- -- Middle Atlantic 3.52 5.14 -32% 3.86 5.32 3.46 5.11 New Jersey 3.52 5.11 -31% -- -- 3.52 5.11 New York 3.85 5.45 -29% 3.86 5.32 3.84 5.50

232

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

0. Net Generation from Natural Gas 0. Net Generation from Natural Gas by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 62,490 63,236 -1.2% 345 357 58,757 59,763 901 700 2,488 2,416 Connecticut 16,537 15,188 8.9% 6 NM 15,801 14,715 397 211 333 227 Maine 6,044 6,877 -12.1% 0 0 4,057 4,850 26 0.26 1,960 2,026 Massachusetts 24,672 25,940 -4.9% 278 240 23,812 25,120 416 443 166 136 New Hampshire 7,050 6,658 5.9% 58 80 6,947 6,552 16 0 29 26 Rhode Island 8,185 8,571 -4.5% 0 0 8,140 8,525 45 46 0 0

233

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

5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2012 and 2011 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 106 79 35% 0 0 0 23 0 0 106 56 New Jersey 0 NM NM 0 0 0 0 0 0 0 NM

234

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

6. Net Generation 6. Net Generation by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 120,887 123,338 -2.0% 3,278 4,408 111,191 112,613 1,178 949 5,240 5,368 Connecticut 36,118 33,745 7.0% 37 93 35,347 33,208 397 211 337 233 Maine 14,429 15,974 -9.7% 0.17 1 10,186 10,890 208 176 4,035 4,907 Massachusetts 36,198 38,055 -4.9% 591 610 34,321 36,783 469 490 817 172 New Hampshire 19,264 20,066 -4.0% 2,017 2,994 17,170 17,020 49 20 29 31

235

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

7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 7. Average Cost of Coal Delivered for Electricity Generation by State, 2012 and 2011 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 New England 3.59 3.68 -2.4% 4.07 3.55 3.34 3.74 Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.07 3.55 15% 4.07 3.55 -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- -- Middle Atlantic 2.50 2.68 -6.7% -- 2.92 2.50 2.63 New Jersey 4.05 4.18 -3.1% -- -- 4.05 4.18 New York 3.12 3.27 -4.6% -- 3.88 3.12 3.27 Pennsylvania 2.43 2.55 -4.7% -- 2.91 2.43 2.45

236

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

0. Net Generation from Solar 0. Net Generation from Solar by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 35 7 427.1% 9 4 25 2 1 1 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 30 5 521.6% 9 4 20 0.14 1 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 5 2 179.0% 0 0 5 2 0 0 0 0 Middle Atlantic 389 98 295.3% 41 19 303 65 37 8 8 5

237

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

4. Net Generation from Renewable Sources Excluding Hydroelectric 4. Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 8,557 8,015 6.8% 664 574 5,652 5,352 136 104 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 4,099 4,495 -8.8% 0 0 2,468 2,421 92 89 1,539 1,985 Massachusetts 1,843 1,207 52.8% 68 48 1,198 1,145 11 13 566 0 New Hampshire 1,381 1,091 26.6% 347 291 1,003 800 31 0 0 0.35 Rhode Island 102 130 -21.8% 0 0 102 130 0 0 0 0

238

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

9. Net Generation from Petroleum Coke 9. Net Generation from Petroleum Coke by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0 Middle Atlantic 76 344 -78.0% 0 0 0 263 0 0 76 81 New Jersey 40 58 -30.6% 0 0 0 0 0 0 40 58

239

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

8. Net Generation from Petroleum Liquids 8. Net Generation from Petroleum Liquids by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 413 639 -35.4% 52 120 267 374 49 55 45 90 Connecticut 112 166 -32.6% 4 5 104 155 0.05 0 4 5 Maine 84 178 -52.8% 0.17 1 65 89 2 3 16 85 Massachusetts 174 197 -11.2% 15 40 98 128 37 28 25 NM New Hampshire 22 78 -72.1% 20 57 0.12 1 2 20 0.17 0.10 Rhode Island 18 14 31.0% 11 10 0.12 1 7 2 0 0 Vermont 3 8 -58.1% 2 6 0 0 1 2 0 0

240

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

8. Net Generation from Biomass 8. Net Generation from Biomass by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 7,229 7,138 1.3% 570 515 4,428 4,544 125 94 2,105 1,985 Connecticut 667 660 1.0% 0 0 667 660 0 0 0 0 Maine 3,212 3,788 -15.2% 0 0 1,581 1,714 92 89 1,539 1,985 Massachusetts 1,724 1,140 51.2% 0 0 1,157 1,137 1 3 566 0 New Hampshire 1,173 1,025 14.4% 347 291 795 734 31 0 0 0.35 Rhode Island 101 127 -21.1% 0 0 101 127 0 0 0 0

Note: This page contains sample records for the topic "rated output power" 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

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

B. Net Generation from Renewable Sources: Independent Power Producers, 2002 - 2012 B. Net Generation from Renewable Sources: Independent Power Producers, 2002 - 2012 (Thousand Megawatthours) Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Sources Annual Totals 2002 10,141 N/A N/A 8,300 N/A N/A N/A 13,089 18,189 N/A 2003 10,834 0 532 8,645 4,435 7,227 1,211 13,175 21,890 67,949 2004 13,739 0 569 8,528 4,377 6,978 884 13,563 19,518 68,154 2005 16,764 0 535 8,741 4,308 7,092 701 13,566 21,486 73,195 2006 24,238 0 493 8,404 4,771 7,259 774 13,406 24,390 83,736 2007 30,089 6 595 8,486 5,177 7,061 839 13,498 19,109 84,860 2008 48,464 60 787 8,750 6,057 6,975 1,040 13,643 23,451 109,226

242

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

2. Net Generation from Nuclear Energy 2. Net Generation from Nuclear Energy by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 36,116 34,283 5.3% 0 0 36,116 34,283 0 0 0 0 Connecticut 17,078 15,928 7.2% 0 0 17,078 15,928 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 5,860 5,085 15.2% 0 0 5,860 5,085 0 0 0 0 New Hampshire 8,189 8,363 -2.1% 0 0 8,189 8,363 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 4,989 4,907 1.7% 0 0 4,989 4,907 0 0 0 0

243

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

7. Net Generation from Coal 7. Net Generation from Coal by State, by Sector, 2012 and 2011 (Thousand Megawatthours) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2012 Year 2011 Percentage Change Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 Year 2012 Year 2011 New England 4,103 6,848 -40.1% 1,268 2,208 2,793 4,592 0 0 42 47 Connecticut 653 526 24.2% 0 0 653 526 0 0 0 0 Maine 45 55 -18.0% 0 0 30 38 0 0 15 18 Massachusetts 2,137 4,059 -47.4% 0 0 2,110 4,029 0 0 27 30 New Hampshire 1,268 2,208 -42.6% 1,268 2,208 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 0 0 0 0

244

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

8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 (continued) 8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2002 - 2012 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2002 47,805 1,639 1.03 29.98 4.85 44.4 3,198,108 3,126,308 3.55 3.63 91.6 2.42 2003 59,377 2,086 0.60 17.16 4.88 64.3 3,335,086 3,244,368 5.33 5.48 96.2 3.15 2004 73,745 2,609 0.72 20.30 4.95 81.0 3,491,942 3,403,474 5.86 6.01 93.1 3.43 2005 92,706 3,277 0.90 25.42 5.09 82.9 3,675,165 3,578,722 8.20 8.42 95.8 4.69

245

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

246

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

4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Mills per Kilowatthour) 4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2002 through 2012 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2002 9.00 2.59 3.71 3.26 5.04 2.67 2.62 2.38 2003 9.12 2.74 3.47 3.50 5.23 2.72 2.32 2.26 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20 3.59 3.89 2.72 2009 10.00 4.23 4.88 3.05 6.34 3.96 3.50 2.58 2010 10.50 4.04 5.33 2.79 6.80 3.99 3.81 2.73

247

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

3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2002 through 2012 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2002 10,168 0.94 8.7 147,903 1.64 0.2 1,025 2003 10,137 0.97 9.0 147,086 1.53 0.1 1,030 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1 1,027 2008 9,947 0.97 9.0 142,205 2.21 0.3 1,027 2009 9,902 1.01 8.9 141,321 2.14 0.2 1,025 2010 9,842 1.16 8.8 140,598 2.14 0.2 1,022

248

E-Print Network [OSTI]

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

Gao, Guang R.

249

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

2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2012 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459 Gas Turbine -- 13,326 11,560 -- Internal Combustion -- 10,428 9,958 -- Combined Cycle W 10,715 7,605 -- 2010 Steam Generator 10,142 10,249 10,416 10,452 Gas Turbine -- 13,386 11,590 -- Internal Combustion -- 10,429 9,917 --

250

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

. Average Operating Heat Rate for Selected Energy Sources, . Average Operating Heat Rate for Selected Energy Sources, 2002 through 2012 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2002 10,314 10,641 9,533 10,442 2003 10,297 10,610 9,207 10,422 2004 10,331 10,571 8,647 10,428 2005 10,373 10,631 8,551 10,436 2006 10,351 10,809 8,471 10,435 2007 10,375 10,794 8,403 10,489 2008 10,378 11,015 8,305 10,452 2009 10,414 10,923 8,159 10,459 2010 10,415 10,984 8,185 10,452 2011 10,444 10,829 8,152 10,464 2012 10,498 10,991 8,039 10,479 Coal includes anthracite, bituminous, subbituminous and lignite coal. Waste coal and synthetic coal are included starting in 2002. Petroleum includes distillate fuel oil (all diesel and No. 1 and No. 2 fuel oils), residual fuel oil (No. 5 and No. 6 fuel oils and bunker C fuel oil, jet fuel, kerosene, petroleum coke, and waste oil.

251

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule SCE&G-4-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available public bodies and cooperatives (any one of which is hereinafter called the Customer) in South Carolina served through the transmission facilities of South Carolina Electric & Gas Company (hereinafter called the Company). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B.

252

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

Facilities Ratings Project Facilities Ratings Project Hoover-Mead #1 and #5 230-kV and Mead-Marketplace 500-kV Transmission Lines Continuation Sheet Project Description (Continued) Hoover-Mead # 1 230-kV Transmission Line Along the Hoover-Mead #1 230-kV transmission line, the existing line will be reconductored between structures 0/4 and 4/2, about 3.5 linear miles. Structure 0/4 is located northeast of Mead Substation; structure 4/2 is located southeast of Boulder City Tap. The scope of work for the reconductoring includes the following: * At tangent structures (where there is no change in the angle of the transmission line), pulleys or travelers will be installed where the existing conductor attaches to the insulator. The old conductor will be pulled out through the travelers and new wire will be pulled in. A bucket truck

253

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

2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: 2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2012 and 2011 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change December 2012 December 2011 Percentage Change New England 1,030 1,389 -26% 2,483 2,680 -7.3% 0 0 -- Connecticut W W W 1,300 954 36% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 675 W 837 990 -15% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island 0 0 -- W W W 0 0 -- Vermont 0 0 -- 51 49 3.0% 0 0 -- Middle Atlantic 7,553 7,800 -3.2% 5,496 6,591 -17% W W W New Jersey 926 871 6.3% 1,084 1,113 -2.6% 0 0 --

254

Science Journals Connector (OSTI)

In mixed-line-rate (MLR) networks, different line rates on different wavelengths can coexist on the same fiber. MLR architectures can be built over transparent optical networks, where the transmitted signals remain in the optical domain along the entire ... Keywords: Dynamic lightpath provisioning, Impairment-aware provisioning, Launch power determination, Mixed-line-rate optical WDM networks

Haydar Cukurtepe, Massimo Tornatore, Aysegul Yayimli, Biswanath Mukherjee

2014-06-01T23:59:59.000Z

255

E-Print Network [OSTI]

milk usinm asit tcr1;. a'. er :;th wit::- out ice bank - mnruier load, i, ". . . rch 20, 196'd. '1'he ac:blent tem; er ature was ~O al ~ 6 & ~ 4 ~ 0 ~ i ~ 0 ~ ~ 0 ~ * ~ ~ ~ I V Typical data sheet for rate of cooling miiir using' crit... VIE Discussion of Resolta , , ~ . ~ . . . 51 VII. Corclusions ~ ~ ~ 55 VIII. sitsrsture Citsrl 55 Page X Typical data sheet for rats of cooling milk usinw agitated water bath with ice bank morning load~ Iarch 80, 195Ri The ambient temperature...

McCardle, Arthur, Jr

2012-06-07T23:59:59.000Z

256

SciTech Connect (OSTI)

Efficient excitation of dense plasma columns at 100-Hz repetition rate using a tailored pump pulse profile produced a tabletop soft-x-ray laser average power of 0.1 mW at = 13.9 nm and 20 W at = 11.9 nm from transitions of Ni-like Ag and Ni-like Sn, respectively. Lasing on several other transitions with wavelengths between 10.9 and 14.7 nm was also obtained using 0.9-J pump pulses of 5-ps duration from a compact diode-pumped chirped pulse amplification Yb:YAG laser. Hydrodynamic and atomic plasma simulations show that the pump pulse profile, consisting of a nanosecond ramp followed by two peaks of picosecond duration, creates a plasma with an increased density of Ni-like ions at the time of peak temperature that results in a larger gain coefficient over a temporally and spatially enlarged space leading to a threefold increase in the soft-x-ray laser output pulse energy. The high average power of these compact soft-x-ray lasers will enable applications requiring high photon flux. These results open the path to milliwatt-average-power tabletop soft-x-ray lasers.

Reagan, Brendon [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Berrill, Mark A [ORNL] [ORNL; Wernsing, Keith [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Baumgarten, Cory [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Woolston, Mark [Colorado State University, Fort Collins] [Colorado State University, Fort Collins; Rocca, Jorge [Colorado State University, Fort Collins] [Colorado State University, Fort Collins

2014-01-01T23:59:59.000Z

257

SciTech Connect (OSTI)

This Record of Decision (ROD) contains the decisions of the Bonneville Power Administration (BPA), based on the record compiled in this rate proceeding, with respect to the adoption of power rates for the three-year rate period commencing October 1, 2006, through September 30, 2009. This ''2007 Wholesale Power Rate Adjustment Proceeding'' is designed to establish replacement rate schedules and General Rate Schedule Provisions (GRSPs) for those that expire on September 30, 2006. This power rate case also establishes the General Transfer Agreement (GTA) Delivery Charge for the period of October 1, 2007, through September 30, 2009. BPA's Power Subscription Strategy and Record of Decision (Subscription Strategy), as well as other Agency processes, provide much of the policy context for this rate case and are described in Section 2. This ROD follows a full evidentiary hearing and briefing, including an Oral Argument before the BPA Administrator. Sections 3 through 18, including any appendices or attachments, present the issues raised by parties in this proceeding, the parties positions, BPA staff positions on the issues, BPA's evaluations of the positions, and the Administrator's decisions. Parties had the opportunity to file briefs on exceptions to the Draft ROD, before issuance of this Final Record of Decision.

2006-07-01T23:59:59.000Z

258

E-Print Network [OSTI]

System Design Considerations for High data Rate Communications Over Multi-wire Overhead Power communications, multi-wire overhead lines, capacity, OFDM, coding. I. INTRODUCTION The increasing interest, and severe narrowband interference [1]. The channel characteristics of medium voltage overhead power-line

259

E-Print Network [OSTI]

.F.Veremeenko, BINP, Novosibirsk, Russia Abstract A set of power supplies (PS) with output power rated from 100 W up

Kozak, Victor R.

260

SciTech Connect (OSTI)

As their switching and power handling characteristics improve, solid-state devices are finding new applications in pulsed power. This is particularly true of applications that require fast trains of short duration pulses. High voltage (600-1200V) MOSFETs are especially well suited for use in these systems, as they can switch at significant peak power levels and are easily gated on and off very quickly. MOSFET operation at the shortest pulse durations is not constrained by the intrinsic capabilities of the MOSFET, but rather by the capabilities of the gate drive circuit and the system physical layout. This project sought to improve MOSFET operation in a pulsed power context by addressing these issues. The primary goal of this project is to improve the switching performance of power MOSFETs for use in high rep-rate, short pulse, high-power applications by improving the design of the gate drive circuits and the circuit layouts used in these systems. This requires evaluation of new commercial gate drive circuits and upgrading the designs of LLNL-developed circuits. In addition, these circuits must be tested with the fastest available high-voltage power MOSFETs.

Cook, E G

2006-09-19T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

SciTech Connect (OSTI)

This technical memorandum describes an analysis of regional economic impacts resulting from changes in retail electricity rates due to six power marketing programs proposed by Western Area Power Administration (Western). Regional economic impacts of changes in rates are estimated in terms of five key regional economic variables: population, gross regional product, disposable income, employment, and household income. The REMI (Regional Impact Models, Inc.) and IMPLAN (Impact Analysis for Planning) models simulate economic impacts in nine subregions in the area in which Western power is sold for the years 1993, 2000, and 2008. Estimates show that impacts on aggregate economic activity in any of the subregions or years would be minimal for three reasons. First, the utilities that buy power from Western sell only a relatively small proportion of the total electricity sold in any of the subregions. Second, reliance of Western customers on Western power is fairly low in each subregion. Finally, electricity is not a significant input cost for any industry or for households in any subregion.

Allison, T.; Griffes, P.; Edwards, B.K.

1995-03-01T23:59:59.000Z

262

SciTech Connect (OSTI)

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

John A. Schroeder; Gordon R. Bower

2014-02-01T23:59:59.000Z

263

Science Journals Connector (OSTI)

In this paper, we focus on the problem of dynamic rate and power allocation in wireless ad hoc networks with slow-fading channels, where a mixture of elastic and inelastic traffic is supported. A stochastic optimization problem incorporating the quality ... Keywords: Dynamic resource allocation, Elastic flows, Inelastic flows, Particle swarm optimization (PSO), QoS requirements, Stochastic duality theory

Fei Wang; Xiaofeng Liao; Songtao Guo; Hongyu Huang; Tingwen Huang

2013-05-01T23:59:59.000Z

264

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

Enhancement of DWPF Melt Rate Model (WP 4.2.3) Enhancement of DWPF Melt Rate Model (WP 4.2.3) A.S. Choi, D. H. Miller, Engineering Process Development D. M. Immel, Imaging and Radiation Systems Free energy output is re-arranged into various functional groups based on literature data on aluminoborosilicate glass structural units Methodology: Objective: Develop a predictive tool for the impact of feed chemistry on relative melt rate of HLW glasses. Input Semi-empirical 4-Stage DWPF Cold Cap Model Output Phase Equilibria & Speciation of Melt, Intermediate Condensed Phases, Calcine Gases and Their Free Energies Feed Chemistry NIST Free Energy Database for Complex Liquids Melt Rate Furnace (MRF) Experiments Derive an empirical correlation of relative melt rates using free energy functional groups. X-Ray Imaging &

265

SciTech Connect (OSTI)

Dynamic Line Rating (DLR) is a smart grid technology that allows the rating of power line to be based on real-time conductor temperature dependent on local weather conditions. In current practice overhead power lines are generally given a conservative rating based on worst case weather conditions. Using historical weather data collected over a test bed area, we demonstrate there is often additional transmission capacity not being utilized with the current static rating practice. We investigate a new dynamic line rating methodology using computational fluid dynamics (CFD) to determine wind conditions along transmission lines at dense intervals. Simulated results are used to determine conductor temperature by calculating the transient thermal response of the conductor under variable environmental conditions. In calculating the conductor temperature, we use both a calculation with steady-state assumption and a transient calculation. Under low wind conditions, steady-state assumption predicts higher conductor temperatures that could lead to curtailments, whereas transient calculations produce conductor temperatures that are significantly lower, implying the availability of additional transmission capacity.

Jake P. Gentle; Kurt S Myers; Tyler B Phillips; Inanc Senocak; Phil Anderson

2014-08-01T23:59:59.000Z

266

SciTech Connect (OSTI)

The Load Resource Study (Study) represents the compilation of the loads, sales, contracts, and resource data necessary for developing BPA wholesale power rates. The results of this Study are used to: (1) provide base data to determine resource costs for the Revenue Requirement Study, WP-07-E-BPA-02; (2) provide regional hydro data for use in the secondary revenue forecast for the Market Power Study, WP-07-E-BPA-03; (3) provide base data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05; and (4) provide load and resource data for use in calculating risk in the Risk Analysis Study, WP-07-E-BPA-04. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Documentation, WP-07-E-BPA-01A.

2005-11-01T23:59:59.000Z

267

E-Print Network [OSTI]

??Wind power in China has been experiencing substantial growths in the past decade. Accumulated generation capacity increased from 381.2 MW in 2001 to 62,364.2 MW… (more)

Li, Xin

2012-01-01T23:59:59.000Z

268

SciTech Connect (OSTI)

The Load Resource Study (Study) represents the compilation of the load and contract obligations, contact purchases, and resource data necessary for developing BPA's wholesale power rates. The results of this Study are used to: (1) provide data to determine resource costs for the Revenue Requirement Study, WP-07-FS-BPA-02; (2) provide data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-FS-BPA-05; (3) provide load and resource data for use in the Risk Analysis Study, WP-07-FS-BPA-04; and (4) provide regional hydro data for use in the secondary revenue forecast for the Market Price Forecast Study, WP-07-FS-BPA-03. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Study Documentation, WP-07-FS-BPA-01A.

2006-07-01T23:59:59.000Z

269

DOE Patents [OSTI]

An AC resonant charger for a capacitive load, such as a PFN, is provided with a variable repetition rate unrelated to the frequency of a multi-phase AC power source by using a control unit to select and couple the phase of the power source to the resonant charger in order to charge the capacitive load with a phase that is the next to begin a half cycle. For optimum range in repetition rate and increased charging voltage, the resonant charger includes a step-up transformer and full-wave rectifier. The next phase selected may then be of either polarity, but is always selected to be of a polarity opposite the polarity of the last phase selected so that the transformer core does not saturate. Thyristors are used to select and couple the correct phase just after its zero crossover in response to a sharp pulse generated by a zero-crossover detector. The thyristor that is turned on then automatically turns off after a full half cycle of its associated phase input. A full-wave rectifier couples the secondary winding of the transformer to the load so that the load capacitance is always charged with the same polarity.

Watson, Harold (Torrance, CA)

1982-01-01T23:59:59.000Z

270

SciTech Connect (OSTI)

The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-FS-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-FS-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-FS-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-FS-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-FSBPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

2006-07-01T23:59:59.000Z

271

SciTech Connect (OSTI)

The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-E-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-E-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-E-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-E-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-E-BPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

2005-11-01T23:59:59.000Z

272

Science Journals Connector (OSTI)

...due to the intrinsic interest of studying car- diovascular adaptation to changes in...expenditure from heart rate and doubly-labeled water in exercising geese. Ph s. ool. 65...1968 Respiratory exchange and evaporative water loss in the flying budgerigar. . Exp...

1997-01-01T23:59:59.000Z

273

SciTech Connect (OSTI)

As part of ongoing R&D activities at the National Energy Technology Laboratory’s (NETL) Advanced Virtual Energy Simulation Training & Research (AVESTAR™) Center, this paper highlights strategies for enhancing low-level regulatory control and system-wide coordinated control strategies implemented in a high-fidelity dynamic simulator for an Integrated Gasification Combined Cycle (IGCC) power plant with carbon capture. The underlying IGCC plant dynamic model contains 20 major process areas, each of which is tightly integrated with the rest of the power plant, making individual functionally-independent processes prone to routine disturbances. Single-loop feedback control although adequate to meet the primary control objective for most processes, does not take into account in advance the effect of these disturbances, making the entire power plant undergo large offshoots and/or oscillations before the feedback action has an opportunity to impact control performance. In this paper, controller enhancements ranging from retuning feedback control loops, multiplicative feed-forward control and other control techniques such as split-range control, feedback trim and dynamic compensation, applicable on various subsections of the integrated IGCC plant, have been highlighted and improvements in control responses have been given. Compared to using classical feedback-based control structure, the enhanced IGCC regulatory control architecture reduces plant settling time and peak offshoots, achieves faster disturbance rejection, and promotes higher power ramp-rates. In addition, improvements in IGCC coordinated plant-wide control strategies for “Gasifier-Lead”, “GT-Lead” and “Plantwide” operation modes have been proposed and their responses compared. The paper is concluded with a brief discussion on the potential IGCC controller improvements resulting from using advanced process control, including model predictive control (MPC), as a supervisory control layer.

Mahapatra, P.; Zitney, S.

2012-01-01T23:59:59.000Z

274

E-Print Network [OSTI]

Holocene versus modern catchment erosion rates at 300 MW Baspa II hydroelectric power plant (India private hydroelectric facility, located at the Baspa River which is an important left-hand tributary

Bookhagen, Bodo

275

SciTech Connect (OSTI)

This publication contains the power and transmission rate orders and related documents issued by the Department of Energy. It covers calendar years 1980 and 1981. The first publication, DOE/CE-007 covering the period from March through December 1979, was published July 1981. This publication is a compilation of all rate orders issued by the Assistant Secretary for Resource Applications and the Assistant Secretary for Conservation and Renewable Energy during calendar years 1980 and 1981 under Delegation Order No. 0204-33. It also includes all final approvals, remands, and disapprovals by the FERC, and a petition to the FERC for reconsideration by a Power Marketing Administration during 1980 and 1981. Also included are two delegation orders along with an amendment and a supplement to one delegation order, a departmental order on financial reporting, and Power and Transmission Rate Adjustment Procedures relating to federal power marketing.

None

1982-08-01T23:59:59.000Z

276

E-Print Network [OSTI]

Reply to comment by Claude Michel on A general power equation for predicting bed load transport Michel on A general power equation for predicting bed load transport rates in gravel bed rivers of our transport equation. [2] Although some bed load transport data exhibit non- linear trends in log

277

SciTech Connect (OSTI)

This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

2006-07-01T23:59:59.000Z

278

Open Energy Info (EERE)

DemandReactivePowerCharge DemandReactivePowerCharge Jump to: navigation, search This is a property of type Number. Pages using the property "OpenEI/UtilityRate/DemandReactivePowerCharge" Showing 25 pages using this property. (previous 25) (next 25) 0 00b7ccdc-c7e0-40d2-907f-acb6ae828292 + 0.25 + 00e0b930-90c6-43c2-971a-91dade33f76a + 0.32 + 00e2a43f-6844-417a-b459-edf32d33b051 + 0.0092 + 00fb7dca-d0a6-4b11-b7de-791c2fb9f2e1 + 2.7 + 01a64840-7edc-4193-8073-ed5604e098ca + 0.83 + 035f3d22-3650-47cc-a427-bb35170db128 + 0.3 + 042f06f4-6a5b-424f-a31f-8e1c5a838700 + 0.27 + 0479cd85-894d-412b-b2ce-3b96912e9014 + 0.2 + 04bab597-fe1e-4507-8d90-144980aeba73 + 0.3 + 05211bd7-b6d3-425c-9f96-0845b7828c3c + 0.27 + 052fbe23-ac02-4195-b76d-e572cc53f669 + 0.68 + 05490683-8158-4d2f-ad96-66d5e4980890 + 0.25 +

279

SciTech Connect (OSTI)

This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

Ellis, Abraham; Schoenwald, David Alan

2012-03-01T23:59:59.000Z

280

Science Journals Connector (OSTI)

Traditional models used to calculate foot segmental power have yielded poor agreement between foot power and the rate of energy change during the stance phase of gait and limited the applicability of foot segmental power analyses to swing phase only. The purpose of this study was to improve the agreement of foot segemental power and rate of energy change by using more inclusive models to calculate foot segmental power and energy. The gait of 15 adult subjects was studied and models were used to calculate foot segmental power that included either the proximal terms only (Model P, the most common method in the literature) or both proximal and distal terms (Model PD, a mathematically complete model). Power and energy terms were computed in to ways, from sagittal plane vector components only (two-dimensional condition) and from complete three-dimensional components (three-dimensional condition). Results revealed that the more inclusive the model, the higher the agreement of foot power and rate of energy change. During stance phase, Model P produced poor agreement (rc = 0.108) for both two-dimensional and three-dimensional conditions, Model PD-2D yielded higher agreement (rc = 0.645), and Model PD-3D exhibited nearly perfect agreement (rc = 0.956). The advantages of a segmental power analysis include the ability to identify the mechanisms of energy transfer into and out of the foot during movement. The results of this study suggest that foot power analyses are valid when using Model PD-3D to describe foot function during locomotion.

Karen Lohmann Siegel; Thomas M. Kepple; Graham E. Caldwell

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

E-Print Network [OSTI]

of availability, it is the major option for future power generation. One inherent disadvantage of gas turbines is the degradation of output as the ambient air temperature increases. This reduction in output during times of peak load create a reliability..., power generation for offshore platforms, utility peak load 58 ESL-IE-92-04-10 Proceedings from the 14th National Industrial Energy Technology Conference, Houston, TX, April 22-23, 1992 power generation, emergency power, ship propulsion, and private...

Neeley, J. E.; Patton, S.; Holder, F.

282

SciTech Connect (OSTI)

As photovoltaic penetration of the power grid increases, accurate predictions of return on investment require accurate prediction of decreased power output over time. Degradation rates must be known in order to predict power delivery. This article reviews degradation rates of flat-plate terrestrial modules and systems reported in published literature from field testing throughout the last 40 years. Nearly 2000 degradation rates, measured on individual modules or entire systems, have been assembled from the literature, showing a median value of 0.5%/year. The review consists of three parts: a brief historical outline, an analytical summary of degradation rates, and a detailed bibliography partitioned by technology.

Jordan, D. C.; Kurtz, S. R.

2012-06-01T23:59:59.000Z

283

E-Print Network [OSTI]

and future needs of the power industry follows. The discussion is restricted to steam turbine cycles of fossil or nuclear power plants, although some ECC's can be employed to a wider range of applications, such as analysis of different heat sources... and future needs of the power industry follows. The discussion is restricted to steam turbine cycles of fossil or nuclear power plants, although some ECC's can be employed to a wider range of applications, such as analysis of different heat sources...

Menuchin, Y.; Singh, K. P.; Hirota, N.

1981-01-01T23:59:59.000Z

284

E-Print Network [OSTI]

and potential energy changes are zero. 3 Steam properties are used for geothermal water. Properties Using7-31 7-88 A geothermal power plant uses geothermal liquid water at 160ÂºC at a specified rate saturated liquid properties, the source and the sink state enthalpies of geothermal water are (Table A-4) k

Bahrami, Majid

285

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

Environmental Review-NEPA Financial Data Operations Planning & Projects Power Marketing Rates Rate Adjustments Transmission Ancillary Services Rates WAPA-137 Rate Order Environmental Review-NEPA Financial Data Operations Planning & Projects Power Marketing Rates Rate Adjustments Transmission Ancillary Services Rates WAPA-137 Rate Order Rates and Repayment Services Rates Current and Historical Rate Information Collbran Power Rates CRSP Power Rates CRSP Transmission System Rates CRSP Management Center interest rates Falcon-Amistad Power Rates Provo River Power Rates Rio Grande Power Rates Seedskadee Power Rates SLCA/IP Power Rates Rate Schedules & Supplemental Rate Information Current Rates for Firm Power, Firm & Non-firm Transmission Service, & Ancillary Services Current Transmission & Ancillary Services Rates Tariffs Components of the SLCA/IP Existing Firm Power Rate Cost Recovery Charge (CRC) Page MOA Concerning the Upper Colorado River Basin

286

SciTech Connect (OSTI)

Compact =13.9 nm and =18.9 nm lasers with >0.1 mW average power at 100 Hz repetition rate driven by a diode-pumped, 1 J, CPA laser were demonstrated. Wavelength scaling to =10.9 nm will be discussed.

2013-01-01T23:59:59.000Z

287

E-Print Network [OSTI]

A PCI based high-fanout AER mapper with 2 GiB RAM look-up table, 0.8 Âµs latency and 66 MHz output and complexity in recent years, thanks also the adoption of the Address-Event Representation (AER) as a standard for transmitting signals among chips, and building multi-chip event-based systems. AER mapper devices that route

288

Science Journals Connector (OSTI)

Reliability data is essential for a nuclear power plant probabilistic safety assessment by fault tree analysis ... a failure possibility-based reliability algorithm to assess nuclear event reliability data from f...

Julwan Hendry Purba; Jie Lu; Guangquan Zhang

2012-01-01T23:59:59.000Z

289

SciTech Connect (OSTI)

American National Standard ANSI/ANS*-19.3-2005 [1] covers 'The Determination of Steady-State Neutron Reaction-Rate Distributions and Reactivity of Nuclear Power Reactors'. The 2005 version is a new revision of this Standard, which had previously been issued in 1995. In this revision, the sections on the various types of power reactors have been updated to cover the latest methodologies of calculation in current use, and a section on HWR [CANDU{sup R}] reactors has been added. Also, the sections on verification and validation were revised to more fully define, discuss, and distinguish between these topics, and describe actions related to them. (authors)

Rouben, B. [Atomic Energy of Canada Limited, 2251 Speakman Drive, Mississauga, Ont. L5K 1B2 (Canada)

2006-07-01T23:59:59.000Z

290

291

E-Print Network [OSTI]

in environmentally powered wireless networks with bursty packet arrivals. Varying the size of the energy storage unit such as solar energy, mechanical energy and thermal energy have started finding use in wireless sensor networks, followed by an energy storage unit. The energy harvested by the front end is stored in the storage unit

Rajan, Dinesh

292

SciTech Connect (OSTI)

One method for increasing the efficiency of residential furnaces and boilers is to retrofit a burner capable of firing rate (FR) modulation. While maximum FR is still attainable, the average FR is significantly lower, resulting in more effective heat exchanger performance. Equally important is the capability for continuous firing at a very low rate (simmering) which eliminates off-cycle loss, a heavy contributor to inefficiency. Additional performance can be gained by reducing the excess air required by a burner. Based on its previous experience, Foster-Miller Associates, Inc. has designed and tested a low excess air (about 15%) variable firing rate (VFR) burner. The theory of operation and the construction of the test burner are described. Test results are given along with a conclusion/recommendation. A Phase II plan is outlined which suggests methods and steps for fabrication and field testing of a number of prototype units.

Fuller, H.H.; Demler, R.L.; Poulin, E.

1980-02-01T23:59:59.000Z

293

SciTech Connect (OSTI)

In this work, a data base is derived of area dose rates for systems and components listed in the Energy Economic Data Base (EEDB). The data base is derived from area surveys obtained during outages at four boiling water reactors (BWRs) at three stations and eight pressurized water reactors (PWRs) at four stations. Separate tables are given for BWRs and PWRs. These tables may be combined with estimates of labor hours to provide order-of-magnitude estimates of exposure for purposes of regulatory analysis. They are only valid for work involving entire systems or components. The estimates of labor hours used in conjunction with the dose rates to estimate exposure must be adjusted to account for in-field time. Finally, the dose rates given in the data base do not reflect ALARA considerations. 11 refs., 2 figs., 3 tabs.

Beal, S.K.; Britz, W.L.; Cohen, S.C.; Goldin, A.S.; Goldin, D.J.

1987-10-01T23:59:59.000Z

294

DOE Patents [OSTI]

The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

2010-08-24T23:59:59.000Z

295

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

296

DOE Patents [OSTI]

A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

Dunham, Mark E. (Los Alamos, NM); Morley, David W. (Santa Fe, NM)

1996-01-01T23:59:59.000Z

297

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

Power Rates Previous Power Rates Resource Program Average System Cost Methodology (ASCM) Wind Integration Tiered Rate Methodology Supplemental Rate Case Tiered Rate Methodology...

298

Science Journals Connector (OSTI)

This paper reports the development of a general method for estimating the rates of lightning strikes on transmission lines using Monte Carlo simulation. Effects of towers, cross-arms, non-level ground, conductor sags and nearby structures are directly represented in the 3-dimension electrogeometric model (EGM). The method developed is a general one that is applicable to any transmission line configuration and is independent of the EGM used. Tedious analytical derivation of more than 100 equations for each configuration as required by analytical methods is avoided altogether. The formulation and a flow chart are detailed in the paper. The shortest distances from the lightning leader tip to individual structures that may be struck are evaluated and then compared with striking distances. The outcome of the comparison identifies the structure which will be struck in each simulation. The exposure area adopted in the simulation is determined on the basis of the transmission line route length and the maximum possible striking distance to ensure that the simulation results in a maximum possible number of strikes on the overhead line. Strokes outside the exposure area will always miss the transmission line and, therefore, have no effects on the results. The method proposed and its software implementation are verified on the basis of results from analytical methods of earlier work, and from field data.

Roger Holt; Tam T. Nguyen

1999-01-01T23:59:59.000Z

299

SciTech Connect (OSTI)

As part of ongoing R&D activities at the National Energy Technology Laboratory's (NETL) Advanced Virtual Energy Simulation Training & Research (AVESTAR™) Center, this paper highlights strategies for enhancing low-level regulatory control and system-wide coordinated control strategies implemented in a high-fidelity dynamic simulator for an Integrated Gasification Combined Cycle (IGCC) power plant with carbon capture. The underlying IGCC plant dynamic model contains 20 major process areas, each of which is tightly integrated with the rest of the power plant, making individual functionally-independent processes prone to routine disturbances. Single-loop feedback control although adequate to meet the primary control objective for most processes, does not take into account in advance the effect of these disturbances, making the entire power plant undergo large offshoots and/or oscillations before the feedback action has an opportunity to impact control performance. In this paper, controller enhancements ranging from retuning feedback control loops, multiplicative feed-forward control and other control techniques such as split-range control, feedback trim and dynamic compensation, applicable on various subsections of the integrated IGCC plant, have been highlighted and improvements in control responses have been given. Compared to using classical feedback-based control structure, the enhanced IGCC regulatory control architecture reduces plant settling time and peak offshoots, achieves faster disturbance rejection, and promotes higher power ramp-rates. In addition, improvements in IGCC coordinated plant-wide control strategies for “Gasifier-Lead”, “GT-Lead” and “Plantwide” operation modes have been proposed and their responses compared. The paper is concluded with a brief discussion on the potential IGCC controller improvements resulting from using advanced process control, including model predictive control (MPC), as a supervisory control layer.

Mahapatra, P.; Zitney, S.

2012-01-01T23:59:59.000Z

300

Science Journals Connector (OSTI)

An analysis of fuel consumption for a heat-powered unit in the ... of ceramic materials is given. The heat consumption rate is analyzed as a function of ... generating the working medium, and of the consumption r...

N. A. Tyutin

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

Science Journals Connector (OSTI)

In early April of this year, Solar One, a central receiver pilot plant designed to show that solar energy can be harnessed by utilities to produce electricity on a commercial scale, will begin producing power. ... With a rated maximum power output to the utility grid of 10.8 MW, Solar One is the world's largest solarpowered electrical generating facility. ...

RUDY M. BAUM

1982-03-15T23:59:59.000Z

302

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

Doubly Fed Induction Generator Doubly Fed Induction Generator in an Offshore Wind Power Plant Operated at Rated V/Hz Preprint Eduard Muljadi, Mohit Singh, and Vahan Gevorgian To be presented at the IEEE Energy Conversion Congress and Exhibition Raleigh, North Carolina September 15-20, 2012 Conference Paper NREL/CP-5500-55573 June 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government.

303

SciTech Connect (OSTI)

This report describes in-depth analysis of photovoltaic (PV) output variability in a high-penetration residential PV installation in the Pal Town neighborhood of Ota City, Japan. Pal Town is a unique test bed of high-penetration PV deployment. A total of 553 homes (approximately 80% of the neighborhood) have grid-connected PV totaling over 2 MW, and all are on a common distribution line. Power output at each house and irradiance at several locations were measured once per second in 2006 and 2007. Analysis of the Ota City data allowed for detailed characterization of distributed PV output variability and a better understanding of how variability scales spatially and temporally. For a highly variable test day, extreme power ramp rates (defined as the 99th percentile) were found to initially decrease with an increase in the number of houses at all timescales, but the reduction became negligible after a certain number of houses. Wavelet analysis resolved the variability reduction due to geographic diversity at various timescales, and the effect of geographic smoothing was found to be much more significant at shorter timescales.

Stein, Joshua S.; Miyamoto, Yusuke (Kandenko, Ibaraki, Japan); Nakashima, Eichi (Kandenko, Ibaraki, Japan); Lave, Matthew

2011-11-01T23:59:59.000Z

304

Science Journals Connector (OSTI)

Provisioning a generic simple linear mathematical model for Paranoid and Healthy cases leading to auxiliary investigation of the neuroleptic drugs effect imposed on cardiac output (CO) and blood pressure (BP). Multi-input single output system identification ... Keywords: Blood pressure, Cardiac output, Heart rate, MISO transfer function, Stroke volume, System identification

2014-11-01T23:59:59.000Z

305

E-Print Network [OSTI]

PWM Inverter Output Filter Cost to Losses Trade Off and Optimal Design Robert J. Pasterczyk Jean--This paper describes how to design the output filter of a PWM inverter used in a Uninterruptible Power SupplyVA 3-ph. PWM inverter is taken as example. B. Design Constraints Uninterruptible Power Supply (UPS

306

E-Print Network [OSTI]

for cooling purposes will continue to increase. The number of aquatic organ- isms impinged or entrained at cooling water intakes will tend to increase accordingly. In recent years environmental studies of power plants have shifted emphasis from effects..., and by asphyxiation due to removal from water for excessively long periods (U. S. Environmental Protection Agency 1973). Recent field studies have enumerated the species of fish impinged at various power plants, but few have actually determined survival rates...

Chase, David Mayo

2012-06-07T23:59:59.000Z

307

Science Journals Connector (OSTI)

Abstract Distribution maps of air dose rates around the Fukushima Dai-ichi Nuclear Power Plant were constructed using the results of measurement obtained from approximately 6500 locations (at most) per measurement period. The measurements were conducted 1 m above the ground using survey meters in flat and spatially open locations. Spatial distribution and temporal change of the air dose rate in the area were revealed by examining the resultant distribution maps. The observed reduction rate of the air dose rate over the 18 months between June 2011 and December 2012 was greater than that calculated from radioactive decay of radiocesium by 10% in relative percentage except decontaminated sites. This 10% difference in the reduction of the air dose rate can be explained by the mobility of radiocesium in the depth direction. In the region where the air dose rate was lower than 0.25 ?Sv h?1 on June 2011, the reduction of the air dose rate was observed to be smaller than that of the other dose rate regions, and it was in fact smaller than the reduction rate caused by radioactive decay alone. In contrast, the reduction rate was larger in regions with higher air dose rates. In flat and spatially open locations, no significant difference in the reduction tendency of air dose rates was observed among different land use classifications (rice fields, farmland, forests, and building sites).

Satoshi Mikami; Takeshi Maeyama; Yoshifumi Hoshide; Ryuichi Sakamoto; Shoji Sato; Naotoshi Okuda; Tetsuro Sato; Hiroshi Takemiya; Kimiaki Saito

2014-01-01T23:59:59.000Z

308

SciTech Connect (OSTI)

As photovoltaic (PV) penetration of the power grid increases, it becomes vital to know how decreased power output may affect cost over time. In order to predict power delivery, the decline or degradation rates must be determined accurately. For non-spectrally corrected data several complete seasonal cycles (typically 3-5 years) are required to obtain reasonably accurate degradation rates. In a rapidly evolving industry such a time span is often unacceptable and the need exists to determine degradation rates accurately in a shorter period of time. Occurrence of outliers and data shifts are two examples of analytical problems leading to greater uncertainty and therefore to longer observation times. In this paper we compare three methodologies of data analysis for robustness in the presence of outliers, data shifts and shorter measurement time periods.

Jordan, D. C.; Kurtz, S. R.

2011-02-01T23:59:59.000Z

309

E-Print Network [OSTI]

7-11 7-29 A coal-burning power plant produces 300 MW of power. The amount of coal consumed during The heating value of the coal is given to be 28,000 kJ/kg. Analysis (a) The rate and the amount of heat inputs'tQQ The amount and rate of coal consumed during this period are kg/s48.33 s360024 kg10893.2 MJ/kg28 MJ101.8 6

Bahrami, Majid

310

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

WAPA-137 Rate Order WAPA-137 Rate Order 2009 CRSP Management Center Customer Rates Second Step Presentation from the June 25, 2009, Customer Meeting Handout Materials from the June 25, 2009, Customer Meeting Customer Comment Letters ATEA CREDA Farmington ITCA AMPUA Rate Adjustment Information The second step of WAPA-137 SLCA/IP Firm Power, CRSP Transmission and Ancillary Services rate adjustment. FERC Approval of Rate Order No. WAPA-137 Notice Of Filing for Rate Order No. WAPA-137 Published Final FRN for Rate Order No. WAPA-137 Letter to Customers regarding the published Notice of Extension of Public Process for Rate Order No. WAPA-137 Published Extension of Public Process for Rate Order No. WAPA-137 FRN Follow-up Public Information and Comment Forum Flier WAPA-137 Customer Meetings and Rate Adjustment Schedule

311

E-Print Network [OSTI]

was ¼ inch (6. 25 mm) thick copper disk. The diameter of thevery high power de nsity. Copper was selected for this studythe high stability of HIPIMS copper discharges ( copper can

Horwat, David

2008-01-01T23:59:59.000Z

312

Science Journals Connector (OSTI)

In-plane resistivity, Hall coefficient, and magnetoresistance are measured in a series of high-quality Bi2Sr2-xLaxCuO6 crystals with various carrier concentrations, from underdoped to overdoped. It is found that the temperature dependence of the cotangent of the Hall angle obeys a power law T? with ? systematically decreasing with increasing carriers. While the observed power-law behavior supports the scattering-time separation, the universality of the Fermi-liquid-like T2 dependence of the Hall scattering rate is seriously questioned.

Yoichi Ando and T. Murayama

1999-09-01T23:59:59.000Z

313

SciTech Connect (OSTI)

Cubic Zn{sub 1-x}Mg{sub x}O thin films were produced by Plasma-Enhanced Molecular Beam Epitaxy. Oxygen flow rate and applied Radio-Frequency (RF) plasma power were varied to investigate the impact on film growth and optoelectronic device performance. Solar-blind and visible-blind detectors were fabricated with metal-semiconductor-metal interdigitated Ni/Mg/Au contacts and responsivity is compared under different growth conditions. Increasing oxygen flow rate and RF plasma power increased Zn incorporation in the film, which leads to phase segregation at relatively high Zn/Mg ratio. Responsivity as high as 61 A/W was measured in phase-segregated ZnMgO visible-blind detectors.

Casey Boutwell, R.; Wei Ming; Schoenfeld, Winston V. [CREOL, College of Optics and Photonics, University of Central Florida, Orlando, Florida 32816-2700 (United States)

2013-07-15T23:59:59.000Z

314

E-Print Network [OSTI]

25Â°F Analysis The cooling load of this ice machine is #12; #12; Btu/h4732Btu/lbm169lbm/h28LL qm7-15 7-46E The COP and the refrigeration rate of an ice machine are given. The power consumption is to be determined. Assumptions The ice machine operates steadily. Ice Machine Outdoors R COP = 2.4 QL water 55Â°F ice

Bahrami, Majid

315

E-Print Network [OSTI]

DETERMINATION OF THERMAL-DEGRADATION RATES OF SOME CANDIDATE RANKINE-CYCLE ORGANIC WORKING FLUIDS FOR CONVERSION OF INDUSTRIAL WASTE HEAT INTO POWER Mohan L. Jain, Jack Demirgian, John L. Krazinski, and H. Bushby Argonne National Laboratory..., Argonne, Illinois Howard Mattes and John Purcell U.S. Department of Energy ABSTRACT Serious concerns over the long-term thermal In a previous study [1] based on systems stability of organic working fluids and its effect analysis and covering...

Jain, M. L.; Demirgian, J.; Krazinski, J. L.; Bushby, H.; Mattes, H.; Purcell, J.

1984-01-01T23:59:59.000Z

316

Science Journals Connector (OSTI)

Seung Min Lee; Jong Hyun Kim; Poong Hyun Seong

2014-01-01T23:59:59.000Z

317

E-Print Network [OSTI]

of the signal band. Higher order modulators (containing more energy storages) give enhanced performance useful features which may be applied to transducer technology, e.g. flat frequency response down to zero. For successful operation the limit cycle frequency, which is a function of the sampling rate, has to be much

Kraft, Michael

318

Open Energy Info (EERE)

Input Output Calculator Input Output Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Input-Output Calculator Agency/Company /Organization: Department of Energy Sector: Energy Focus Area: Energy Efficiency Resource Type: Online calculator User Interface: Website Website: www2.eere.energy.gov/analysis/iocalc/Default.aspx Web Application Link: www2.eere.energy.gov/analysis/iocalc/Default.aspx OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: EERE Energy Input-Output Calculator[1] The Energy Input-Output Calculator (IO Calculator) allows users to estimate the economic development impacts from investments in alternate electricity generating technologies. About the Calculator The Energy Input-Output Calculator (IO Calculator) allows users to estimate

319

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

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

320

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

Note: This page contains sample records for the topic "rated output power" 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

Science Journals Connector (OSTI)

Abstract High wind power penetration in power system leads to a significant challenge in balancing power production and consumption due to the intermittence of wind. Introducing energy storage system in wind energy system can help offset the negative effects, and make the wind power controllable. However, the power spectrum density of wind power outputs shows that the fluctuations of wind energy include various components with different frequencies and amplitudes. This implies that the hybrid energy storage system is more suitable for smoothing out the wind power fluctuations effectively rather than the independent energy storage system. In this paper, we proposed a preliminary scheme for capacity allocation of hybrid energy storage system for power system peak shaving by using spectral analysis method. The unbalance power generated from load dispatch plan and wind power outputs is decomposed into four components, which are outer-day, intra-day, short-term and very short-term components, by using Discrete Fourier Transform (DFT) and spectral decomposition method. The capacity allocation can be quantified according to the information in these components. The simulation results show that the power rating and energy rating of hybrid energy storage system in partial smoothing mode decrease significantly in comparison with those in fully smoothing mode.

Pan Zhao; Jiangfeng Wang; Yiping Dai

2015-01-01T23:59:59.000Z

322

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

Rate Schedules Skip Navigation Links Excess Energy Hydro Peaking Power Hydro Power and Energy Sold to Sam Rayburn Dam Electric Cooperative (Rayburn) Hydro Power and Energy Sold to...

323

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

Power Allocations Rates 2025 Power Marketing Initiative The Loveland Area Projects (LAP) Firm Electric Service (FES) contracts expire September 30, 2024. Western Area Power...

324

E-Print Network [OSTI]

Anisotropic grid–adaptive strategies are presented for viscous flow simulations in which the accurate prediction of multiple aerodynamic outputs (such as the lift, drag, and moment coefficients) is required from a single ...

Venditti, David A.

325

E-Print Network [OSTI]

NAO Climatology: ROMS output is saved once every 3 days and written to an output file every 6 days Output after 30 days in 6th file. The Starting Month = July Example: roms_low_his_levts0570dg.0120.nc.gz : July 3 roms_low_his_levts0570dg.0122.nc.gz : July 6 and July 9 roms_low_his_levts0570dg.0124.nc

326

A mechanical rectifier using modern high-performance mechanical diodes can improve direct rotary shaft power output.

327

Boosting America's Hydropower Output Boosting America's Hydropower Output Boosting America's Hydropower Output October 9, 2012 - 2:10pm Addthis The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. City of Boulder employees celebrate the completion of the Boulder Canyon Hydroelectric Modernization project. | Photo courtesy of the city of Boulder, Colorado. The Boulder Canyon Hydroelectric Facility's new, highly-efficient turbine. | Photo courtesy of the city of Boulder, Colorado.

328

SciTech Connect (OSTI)

In some situations involving weak grids or high penetration scenarios, the variability of photovoltaic systems can affect the local electrical grid. In order to mitigate destabilizing effects of power fluctuations, an energy storage device or other controllable generation or load can be used. This paper describes the development of a controller for coordinated operation of a small gas engine-generator set (genset) and a battery for smoothing PV plant output. There are a number of benefits derived from using a traditional generation resource in combination with the battery; the variability of the photovoltaic system can be reduced to a specific level with a smaller battery and Power Conditioning System (PCS) and the lifetime of the battery can be extended. The controller was designed specifically for a PV/energy storage project (Prosperity) and a gas engine-generator (Mesa Del Sol) currently operating on the same feeder in Albuquerque, New Mexico. A number of smoothing simulations of the Prosperity PV were conducted using power data collected from the site. By adjusting the control parameters, tradeoffs between battery use and ramp rates could be tuned. A cost function was created to optimize the control in order to balance, in this example, the need to have low ramp rates with reducing battery size and operation. Simulations were performed for cases with only a genset or battery, and with and without coordinated control between the genset and battery, e.g., without the communication link between sites or during a communication failure. The degree of smoothing without coordinated control did not change significantly because the battery dominated the smoothing response. It is anticipated that this work will be followed by a field demonstration in the near future.

Johnson, Jay; Ellis, Abraham; Denda, Atsushi [Shimizu Corporation; Morino, Kimio [Shimizu Corporation; Shinji, Takao [Tokyo Gas Co., Ltd.; Ogata, Takao [Tokyo Gas Co., Ltd.; Tadokoro, Masayuki [Tokyo Gas Co., Ltd.

2013-02-01T23:59:59.000Z

329

Science Journals Connector (OSTI)

Mamta Gupta; Ajay Kumar Mahur; Rati Varshney; R.G. Sonkawade; K.D. Verma; Rajendra Prasad

2013-01-01T23:59:59.000Z

330

Science Journals Connector (OSTI)

We propose using spatial gestures not only for input but also for output. Analogous to gesture input, the proposed gesture output moves the user's finger in a gesture, which the user then recognizes. We use our concept in a mobile scenario where a motion ... Keywords: eyes free, force feedback, gestures, touch

Anne Roudaut; Andreas Rau; Christoph Sterz; Max Plauth; Pedro Lopes; Patrick Baudisch

2013-04-01T23:59:59.000Z

331

E-Print Network [OSTI]

of value 3V. The main focus areas are low cross regulation between the outputs and supply of completely independent load current levels while maintaining desired values (1.2V,1.5 V) within well controlled ripple levels. Dynamic hysteresis control is used...

Eachempatti, Haritha

2010-07-14T23:59:59.000Z

332

E-Print Network [OSTI]

E2.3 Bioenergy technology Â­ balancing energy output with environmental benefitsbenefits John standards #12;Is it right to grow bioenergy? Or How much bioenergy production is right? #12;Historical bioenergy Farmers historically used 25% land for horse feed #12;Energy crops are solar panels' Solar energy

Levi, Ran

333

E-Print Network [OSTI]

Modeling Multi Output Filtering Effects in PCMOS Anshul Singh*, Arindam Basu, Keck-Voon Ling, Nanyang Technological University (NTU), Singapore *NTU-Rice Institute of Sustainable and Applied Infodynamics (ISAID), NTU, Singapore $School of Computer Engineering, NTU, Singapore Â§School of ECE, Georgia Mooney, Vincent 334 E-Print Network [OSTI] Title Slide "The broadband acoustic output of marine seismic airgun sources" Les Hatton CISM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . #12;Seismic sources Â­ marine airguns Introduction Modelling Marine Life Impact Where next Overview #12 Normal speed surface movie of airgun firing Courtesy IO limited #12;Seismic sources Â­ marine airguns Hatton, Les 335 DOE Patents [OSTI] A radiation beam calorimetric power measurement system for measuring the average power of a beam such as a laser beam, including a calorimeter configured to operate over a wide range of coolant flow rates and being cooled by continuously flowing coolant for absorbing light from a laser beam to convert the laser beam energy into heat. The system further includes a flow meter for measuring the coolant flow in the calorimeter and a pair of thermistors for measuring the temperature difference between the coolant inputs and outputs to the calorimeter. The system also includes a microprocessor for processing the measured coolant flow rate and the measured temperature difference to determine the average power of the laser beam. Baker, John (Livermore, CA); Collins, Leland F. (Pleasanton, CA); Kuklo, Thomas C. (Ripon, CA); Micali, James V. (Dublin, CA) 1992-01-01T23:59:59.000Z 336 Office of Scientific and Technical Information (OSTI) methods help gauge their influence on the grid's stability to power fluctuations. (b) The green plane represents deviations from the forecast of power output from two... 337 E-Print Network [OSTI] Wan, Yih-Huei. 2004. Wind Power Plant Behaviors: Analyses ofthe output of wind power plants. In a typical studyfluctuations across wind power plants located in the same Coughlin, Katie 2011-01-01T23:59:59.000Z 338 Science Journals Connector (OSTI) In the present paper a simple model is presented for a heat engine where the power output is limited by the rate of heat supply (and/or heat release). The model leads to a variety of results. Some of them are established laws such as the Carnot law the Curzon–Ahlborn efficiency and the Castañs efficiency. Other results are new and are related to phenomena as different as geothermal energy conversion and the Penfield paradox of electric circuits. Alexis De Vos 1985-01-01T23:59:59.000Z 339 E-Print Network [OSTI] may be in various sections of the instructions. Some things to look for: - line spacing Preview Utility (Tools, Preview Output Styles) or by simply opening the Output Style Editor (Bibliography, Edit button -- to the right of the output style drop- down). The Output Style Preview Utility University of Technology, Sydney 340 SciTech Connect (OSTI) In this paper two types of generalized Leontief input-output inequality systems are introduced. The minimax properties for a class of functions associated with the inequalities are studied. Sufficient and necessary conditions for the inequality systems to have solutions are obtained in terms of the minimax value. Stability analysis for the solution set is provided in terms of upper semi-continuity and hemi-continuity of set-valued maps. Liu Yingfan [Department of Mathematics, Nanjing University of Post and Telecommunications, Nanjing 210009 (China)], E-mail: yingfanliu@hotmail.com; Zhang Qinghong [Department of Mathematics and Computer Science, Northern Michigan University, Marquette, MI 49855 (United States)], E-mail: qzhang@nmu.edu 2006-09-15T23:59:59.000Z Note: This page contains sample records for the topic "rated output power" 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 SciTech Connect (OSTI) A sub-microsecond, time-resolved micro-particle-image velocimetry (PIV) system is developed to investigate the output of explosive detonators. Detonator output is directed into a transparent solid that serves as a dynamic witness plate and instantaneous shock and material velocities are measured in a two-dimensional plane cutting through the shock wave as it propagates through the solid. For the case of unloaded initiators (e.g. exploding bridge wires, exploding foil initiators, etc.) the witness plate serves as a surrogate for the explosive material that would normally be detonated. The velocity-field measurements quantify the velocity of the shocked material and visualize the geometry of the shocked region. Furthermore, the time-evolution of the velocity-field can be measured at intervals as small as 10 ns using the PIV system. Current experimental results of unloaded exploding bridge wire output in polydimethylsiloxane (PDMS) witness plates demonstrate 20 MHz velocity-field sampling just 300 ns after initiation of the wire. Murphy, Michael John [Los Alamos National Laboratory; Adrian, Ronald J [Los Alamos National Laboratory 2009-01-01T23:59:59.000Z 342 Science Journals Connector (OSTI) Abstract The objective of this paper was to do an economic comparison between the traditional approach to geothermal projects and a well-head method, where smaller power plants were installed on each well to considerably reduce the time until energy production begins. The two methods were compared in a hypothetical steamfield, based on their NPV and net power production. The comparison showed that wellhead power plants benefit geothermal projects by increasing the power output and NPV by as much as 5% and 16% respectively, depending on how early they can start production and the rate of installation. Carlos Atli Córdova Geirdal; Maria S. Gudjonsdottir; Pall Jensson 2015-01-01T23:59:59.000Z 343 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Rates and Repayment Services Rates and Repayment Services Rates 2010 Firm Power Rate (effective January 1, 2010) Rate Adjustments 2010 Firm Power Rate Adjustment 2009 Firm Power Rate Adjustment IS Rate Adjustments Rate Adjustment Process Rate Orders Signed, December 23, 2009 (16kb pdf) Announcements Firm Electric Service Customer Letter - Preliminary Review of Drought Adder Component, June 27, 2013 (74kb pdf) Customer Letter - Final Notice of Drought Adder Component, October 2, 2013 (68kb pdf) Integrated System (IS) Rates 2014 IS Rates Customer Information Meeting Presentation, October 15, 2013 (611kb pdf) Customer Letter - Notification of 2014 Rates, September 13, 2013 (160kb pdf) 2014 Transmission and Ancillary Services Rate Calculation and 2012 Rate True-up Calculation (4.9mb pdf) 2013 IS Rates 344 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) govMeasurementsRadiative heating rate govMeasurementsRadiative heating rate ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Radiative heating rate The heating rate due to the divergence of long and shortwave radiative flux. Categories Radiometric, Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments MOLTS : Model Output Location Time Series Datastreams MOLTS : Model Output Location Time Series Datastreams MOLTSEDASSNDCLASS1 : Model Output Loc. Time Ser. (MOLTS): EDAS 345 SciTech Connect (OSTI) A preliminary study has been made to determine if a 200 kW fuel cell power plant operating on variable quality coalbed methane can be placed and successfully operated at the Jim Walter Resources No. 4 mine located in Tuscaloosa County, Alabama. The purpose of the demonstration is to investigate the effects of variable quality (50 to 98% methane) gob gas on the output and efficiency of the power plant. To date, very little detail has been provided concerning the operation of fuel cells in this environment. The fuel cell power plant will be located adjacent to the No. 4 mine thermal drying facility rated at 152 M British thermal units per hour. The dryer burns fuel at a rate of 75,000 cubic feet per day of methane and 132 tons per day of powdered coal. The fuel cell power plant will provide 700,000 British thermal units per hour of waste heat that can be utilized directly in the dryer, offsetting coal utilization by approximately 0.66 tons per day and providing an avoided cost of approximately$20 per day. The 200 kilowatt electrical power output of the unit will provide a utility cost reduction of approximately $3,296 each month. The demonstration will be completely instrumented and monitored in terms of gas input and quality, electrical power output, and British thermal unit output. Additionally, real-time power pricing schedules will be applied to optimize cost savings. 28 refs., 35 figs., 13 tabs. Przybylic, A.R.; Haynes, C.D.; Haskew, T.A.; Boyer, C.M. II; Lasseter, E.L. 1995-12-01T23:59:59.000Z 346 DOE Patents [OSTI] A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured. Lunsford, James S. (Los Alamos, NM) 1991-01-01T23:59:59.000Z 347 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Fiscal Year 2014 Fiscal Year 2014 Effective Rate Period As of Beginning of the FY 10/01/2013 - 09/30/2014 Mid-Year Changes (if applicable) 10/01/2013 - 09/30/2014 Power Rates Annual Revenue Requirement Rate Schedule Power Revenue Requirement$73,441,557 CV-F13 Base Resource Revenue Requirement $69,585,875 First Preference Revenue Requirement$3,855,682

348

E-Print Network [OSTI]

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

Yu, Yuan

2009-01-01T23:59:59.000Z

349

E-Print Network [OSTI]

software or computing power. Measured gas-phase rate coefficients for the reaction of aromatic hydrocarbons

Boyer, Edmond

350

Science Journals Connector (OSTI)

...202, 3369-3375. 2 Josephson, R. K. 1985 Mechanical power output...Exp. Biol. 114, 493-512. 3 Marsh, R. L. , and J. M. Olson 1994 Power...1983-1997. 23 Girgenrath, M. , and R. L. Marsh 1999 Power output of sound-producing...

2012-01-01T23:59:59.000Z

351

E-Print Network [OSTI]

??Nuclear power plants produce 20 percent of the electricity generated in the U.S. Nuclear generated electricity is increasingly valuable to a utility because it can… (more)

Heidrich, Brenden

2012-01-01T23:59:59.000Z

352

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

Conservation Rate Credit (CRC) - A current funding mechanism that provides a discounted power rate to participating utilities, conditioned on documented expenditures on qualifying...

353

Science Journals Connector (OSTI)

detonation rate, detonation velocity, velocity of detonation, V.O.D., detonating velocity, rate of detonation, detonating rate ? Detonationsgeschwindigkeit f

2014-08-01T23:59:59.000Z

354

SciTech Connect (OSTI)

The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

355

E-Print Network [OSTI]

, the generalizations of coordination of multiple linear dynamic systems to the cooperative output regulation problemCoordinated Output Regulation of Multiple Heterogeneous Linear Systems Ziyang Meng, Tao Yang, Dimos V. Dimarogonas, and Karl H. Johansson Abstract-- The coordinated output regulation problem

Dimarogonas, Dimos

356

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

357

DOE Patents [OSTI]

A power converter architecture interleaves full bridge converters to alleviate thermal management problems in high current applications, and may, for example, double the output power capability while reducing parts count and costs. For example, one phase of a three phase inverter is shared between two transformers, which provide power to a rectifier such as a current doubler rectifier to provide two full bridge DC/DC converters with three rather than four high voltage inverter legs.

Zhu, Lizhi (Canton, MI)

2007-11-13T23:59:59.000Z

358

DOE Patents [OSTI]

A power conditioner includes power converters for supplying power to a load, a set of selection switches corresponding to the power converters for selectively connecting the fuel-cell stack to the power converters, and another set of selection switches corresponding to the power converters for selectively connecting the battery to the power converters. The power conveners output combined power that substantially optimally meets a present demand of the load.

Mazumder, Sudip K. (Chicago, IL); Pradhan, Sanjaya K. (Des Plaines, IL)

2010-10-05T23:59:59.000Z

359

Science Journals Connector (OSTI)

......found in residues resulting from coal combustion in thermal power plants can widely depend on mineral ingredients of coal. Coal and ash activity concentrations...Radium 7440-29-1 Thorium | Coal Ash chemistry Environmental Exposure analysis......

A. Parmaksiz; P. Arikan; M. Vural; E. Yeltepe; I. Tükenmez

2011-11-01T23:59:59.000Z

360

Science Journals Connector (OSTI)

Abstract Legal barriers currently prohibit nuclear power for electricity generation in Australia. For this reason, published future electricity scenarios aimed at policy makers for this country have not seriously considered a full mix of energy options. Here we addressed this deficiency by comparing the life-cycle sustainability of published scenarios using multi-criteria decision-making analysis, and modeling the optimized future electricity mix using a genetic algorithm. The published ‘CSIRO e-future’ scenario under its default condition (excluding nuclear) has the largest aggregate negative environmental and economic outcomes (score = 4.51 out of 8), followed by the Australian Energy Market Operator’s 100% renewable energy scenario (4.16) and the Greenpeace scenario (3.97). The e-future projection with maximum nuclear-power penetration allowed yields the lowest negative impacts (1.46). After modeling possible future electricity mixes including or excluding nuclear power, the weighted criteria recommended an optimized scenario mix where nuclear power generated >40% of total electricity. The life-cycle greenhouse-gas emissions of the optimization scenarios including nuclear power were nuclear power is an effective and logical option for the environmental and economic sustainability of a future electricity network in Australia.

Sanghyun Hong; Corey J.A. Bradshaw; Barry W. Brook

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

DOE Patents [OSTI]

An extended range dose-rate monitor is provided which utilizes the pulse pileup phenomenon that occurs in conventional counting systems to alter the dynamic response of the system to extend the dose-rate counting range. The current pulses from a solid-state detector generated by radiation events are amplified and shaped prior to applying the pulses to the input of a comparator. The comparator generates one logic pulse for each input pulse which exceeds the comparator reference threshold. These pulses are integrated and applied to a meter calibrated to indicate the measured dose-rate in response to the integrator output. A portion of the output signal from the integrator is fed back to vary the comparator reference threshold in proportion to the output count rate to extend the sensitive dynamic detection range by delaying the asymptotic approach of the integrator output toward full scale as measured by the meter.

Valentine, Kenneth H. (Knoxville, TN)

1988-01-01T23:59:59.000Z

362

SciTech Connect (OSTI)

This report contains the results of Phase I of an SBIR to develop a Pulsed Inductive Output Tube (IOT) with 140 kW at 400 MHz for powering H-proton beams. A number of sources, including single beam and multiple beam klystrons, can provide this power, but the IOT provides higher efficiency. Efficiencies exceeding 70% are routinely achieved. The gain is typically limited to approximately 24 dB; however, the availability of highly efficient, solid state drivers reduces the significance of this limitation, particularly at lower frequencies. This program initially focused on developing a 402 MHz IOT; however, the DOE requirement for this device was terminated during the program. The SBIR effort was refocused on improving the IOT design codes to more accurately simulate the time dependent behavior of the input cavity, electron gun, output cavity, and collector. Significant improvement was achieved in modeling capability and simulation accuracy.

R. Lawrence Ives; Michael Read, Robert Jackson

2012-05-09T23:59:59.000Z

363

Science Journals Connector (OSTI)

High-peak power passively Q-switched Nd:YAG/Cr$^{4+}$:YAG monolithic micro-lasers with two- and three-beam output were realized. These compact laser devices, which can be used as...

Pavel, Nicolaie; Tsunekane, Masaki; Taira, Takunori

364

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

Rate Adjustments and Public Involvement Documents Rate Adjustments and Public Involvement Documents CRSP Transmission 9/16/2013 WAPA-161 FRN, CRSP transmission and ancillary services rates extension Letter announcing two-year extension to CRSP transmission and ancillary services rates Letter announcing revised CRSP transmission rates for FY 2014 Accompanying calculation table for FY 2014 CRSP transmission rate letter Letter announcing revised CRSP transmission rates for FY 2013 Letter announcing revised CRSP transmission rates for FY 2012 Letter announcing revised CRSP transmission rates for FY 2011 Letter announcing revised CRSP transmission rates for FY 2010 SLCA/IP 9/16/2013 WAPA-161 FRN, SLCA/IP firm power rate extension Letter announcing two-year extension to SLCA/IP firm power rate SLCA/IP Tentative Rate Adjustment Schedule

365

SciTech Connect (OSTI)

Like most technologies, engine developments tend to follow evolutionary paths. And it's a given that the longer an engine's been around and the more successful it's been, the more likely it is that any changes made would be incremental. On the surface, such is the case with the Caterpillar 3500 Series B diesel engine, recently introduced in Europe and the United States. Based on the well-proven 3500 engine first introduced in 1980 and upgraded with a Phase II program five years later, most of the changes appear incremental. But taken as a whole, they provide a level of performance and durability that Caterpillar anticipates will make this engine an even stronger contender in power generation and marine applications for years to come. It's not hard to see why. Output has been increased between 17% and 30% on some models; fuel consumption is improved by as much as 15%; and with the new aftertreatment system introduced with the engines, emissions as low as 1.3 g/kWh NO[sub x] are said to be achieveable. This paper outlines the design, specifications, and highlights of the improvements in performance of these new engines. 3 figs.

Brezonick, M.

1995-03-01T23:59:59.000Z

366

SciTech Connect (OSTI)

This report describes a methodology for estimating the power and energy capacities for electricity energy storage systems that can be used to defer costly upgrades to fully overloaded, or nearly overloaded, transmission and distribution (T&D) nodes. This ''sizing'' methodology may be used to estimate the amount of storage needed so that T&D upgrades may be deferred for one year. The same methodology can also be used to estimate the characteristics of storage needed for subsequent years of deferral.

Eyer, James M. (Distributed Utility Associates, Livermore, CA); Butler, Paul Charles; Iannucci, Joseph J., Jr. (,.Distributed Utility Associates, Livermore, CA)

2005-11-01T23:59:59.000Z

367

E-Print Network [OSTI]

." VIMS Marine resource Report N. 2007-6. August 2007. Author: John B. Walden NMFS/NEFSC 166 Water St(obs) weights ; POSITIVE Variable weight, lambda; EQUATIONS CONSTR1(GOUTPUT, OBS) DEA constraint for each output

368

Science Journals Connector (OSTI)

The author examines the future potential of solar power with regard to its applications. He suggests that although the large size and small power output of solar cell electric systems are obstacles to high power usage, realistic low power applications can make a valuable contribution to world energy needs

L.B. Harris

1982-01-01T23:59:59.000Z

369

E-Print Network [OSTI]

??Preliminary estimation of wind speed at the wind turbine hub height is critically important when planning new wind farms. Wind turbine power output is proportional… (more)

Sointu, Iida

2014-01-01T23:59:59.000Z

370

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

character-izing solar-power-plant output variability Sandia PV Team Publishes Book Chapter On January 21, 2014, in Computational Modeling & Simulation, Energy, Modeling & Analysis,...

371

SciTech Connect (OSTI)

An investigation was made of the suitability of a Q-switch, based on a piezoelectrically scanned short-base Fabry-Perot interferometer, for an Nd{sup 3+}:YAG laser with an average output radiation power up to 2 kW. The proposed switch made it possible to generate of giant pulses of 60 - 300 ns duration at a repetition rate of 20 - 100 kHz. Throughout the investigated range of the pulse repetition rates the average power was at least equal to that obtained by cw lasing. Special requirements to be satisfied by the interferometer, essential for efficient Q-switching, were considered. (control of laser radiation parameters)

Baburin, N V; Borozdov, Yu V; Danileiko, Yu K; Denker, B I; Ivanov, A D; Osiko, Vyacheslav V; Sverchkov, S E; Sidorin, A V; Chikov, V A [Laser Materials and Technology Research Center, A. M. Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow (Russian Federation); Ifflander, R; Hack, R [Haas-Laser GmbH, Schramberg (Germany); Kertesz, I; Kroo, N [Research Institute for Solid State Physics, Budapest XII (Hungary)

1998-07-31T23:59:59.000Z

372

Science Journals Connector (OSTI)

... 000 kw. steam power station, and the provision of switchgear, overhead lines and three substations for a transmission system about 16 km. in length. Provision is to be made ... will also be provided for stand-by service to the station auxiliaries. Transmission to the substation will be at 66,000 volts, the station output being stepped up to this ...

1940-06-08T23:59:59.000Z

373

SciTech Connect (OSTI)

Sandia National Laboratories Z-machine has developed into a reproducible, high power (>200 TW), high temperature (>200 eV) driver for radiation physics experiments. Imploding cylindrical wire arrays on the Z-machine produce a radiation source with a bolometric temperature of about 200 eV. By surrounding the z-pinch implosion with a vacuum hohlraum a nearly Planckian source of about 140 eV temperature is created with peak radiation powers of about 200 terawatts and integrated energy of 2 megajoules or more. In this energy rich environment we can field a dozen experiments all being driven by an identical source. In addition to 'standard' vacuum hohlraums we also use dynamic hohlraums consisting of two nested wire arrays converging onto an axially centered foam cylinder. Radiation flowing from the ends on the cylinder indicates a Planckian source temperature well over 200 eV. Only two experiments can be fielded on a dynamic hohlraum (one on each end) but the higher source temperature justifies the added complexity of the set-up. We routinely use arrays of filtered silicon photodiodes (SiD) and filtered photocathode x-ray diodes (XRD) to determine the temperature of the source. Three different techniques for unfolding spectra from the XRD and SiD detector data are being used. They are: (1) Treat each detector independently and find the Planckian temperature for a given source size and solid angle that would give the measured detector signal, (2) Use all detector signals and detector spectral responses simultaneously and find a spectrum that best fits the observed data, (3) Use all detector signals and averaged detector spectral responses and find a histogram spectrum that best fits the observed data. When used as complementary set of analysis tools these techniques generate remarkably consistent results showing nearly Planckian behavior on our vacuum hohlraum experiments.

Idzorek, G. C. (George C.); Chrien, Robert E.; Peterson, D. L. (Darrell L.); Watt, R. G. (Robert G.); Chandler, G. A. (Gordon A.); Fehl, D. L. (David L.); Sanford, T. W. L.

2001-01-01T23:59:59.000Z

374

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

Pool Resource Adequacy Capacity Plan Rates You are here: SN Home page > Power Marketing Power Marketing Depicts SNR's service area, which extends from northern and central...

375

E-Print Network [OSTI]

average energy are selected more frequently than constellations with higher energy. However, the resultsConstellation Shaping for Communication Channels with Quantized Outputs Chandana Nannapaneni signal constellation and the output is quantized by a uniform scalar quantizer. The goal is to jointly

Valenti, Matthew C.

376

E-Print Network [OSTI]

ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

Groppi, Christopher

377

E-Print Network [OSTI]

polymer sample are measured as a function of probe output power, as was previously reported for pulled NSOM probes. The results reveal that sample heating increases rapidly to ?55–60°C as output powers reach ?50nW. At higher output powers, the sample...

Dickenson, Nicholas E.; Erickson, Elizabeth S.; Mooren, Olivia L.; Dunn, Robert C.

2007-04-07T23:59:59.000Z

378

DOE Patents [OSTI]

A high-power power supply produces a controllable, constant high voltage output under varying and arcing loads. The power supply includes a voltage regulator, an inductor, an inverter for producing a high frequency square wave current of alternating polarity, an improved inverter voltage clamping circuit, a step up transformer, an output rectifier for producing a dc voltage at the output of each module, and a current sensor for sensing output current. The power supply also provides dynamic response to varying loads by controlling the voltage regulator duty cycle and circuitry is provided for sensing incipient arc currents at the output of the power supply to simultaneously decouple the power supply circuitry from the arcing load. The power supply includes a plurality of discrete switching type dc--dc converter modules. 5 figs.

Shimer, D.W.; Lange, A.C.

1996-10-15T23:59:59.000Z

379

Science Journals Connector (OSTI)

Abstract This paper describes the active power sharing of multiple distributed generators (DGs) in a microgrid. The operating modes of a microgrid are 1) a grid-connected mode and 2) an autonomous mode. During islanded operation, one DG unit should share its output power with other DG units in exact accordance with the load. Unit output power control (UPC) is introduced to control the active power of DGs. The viability of the proposed power control mode is simulated by MATLAB/SIMULINK.

V. Logeshwari; N. Chitra; A. Senthil Kumar; Josiah Munda

2013-01-01T23:59:59.000Z

380

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...

Note: This page contains sample records for the topic "rated output power" 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

E-Print Network [OSTI]

Biofuels, LLC  UCSD Biomass to Power  Economic Feasibility Figure 1: West Biofuels Biomass Gasification to Power rates..……………………. ……31  UCSD Biomass to Power ? Feasibility

Cattolica, Robert

2009-01-01T23:59:59.000Z

382

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

383

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

384

Science Journals Connector (OSTI)

Application of the balance method for dividing the overall power output produced by a single-shaft combined-cycle power plant between the steam turbine and...

G. G. Ol’khovskii

2012-09-01T23:59:59.000Z

385

E-Print Network [OSTI]

offered a listening ear and support throughout my time here at Texas A&M. viii NOMENCLATURE BACE Bayesian Averaging of Classical Estimates BU Bushel CWT Hundred-weight DAP Di-ammonium Phosphate EIA Energy Information Administration ERS... will be considered for the fuel costs because according to the U.S. Energy Information ?dministration ?in agriculture, diesel fuels more than two-thirds of all farm equipment in the United States??US EIA, 2010b). In 2007 and 2008, fuel costs were 14...

Johnson, Myriah D.

2012-10-19T23:59:59.000Z

386

SciTech Connect (OSTI)

This paper will report on the test results of a prototype 1320 watt power module for a high availability power supply. The module will allow parallel operation for N+1 redundancy with hot swap capability. The two quadrant output of each module allows pairs of modules to provide a 4 quadrant (bipolar) operation. Each module employs a novel 4 FET buck regulator arranged in a bridge configuration. Each side of the bridge alternately conducts through a small saturable ferrite that limits the reverse current in the FET body diode during turn off. This allows hard switching of the FETs with low switching losses. The module is designed with over-rated components to provide high reliability and better then 97% efficiency at full load. The modules use a Microchip DSP for control, monitoring, and fault detection. The switching FETS are driven by PWM modules in the DSP at 60 KHz. A Dual CAN bus interface provides for low cost redundant control paths. The DSP will also provide current sharing between modules, synchronized switching, and soft start up for hot swapping. The input and output of each module have low resistance FETs to allow hot swapping and isolation of faulted units.

MacNair, David; /SLAC

2009-05-07T23:59:59.000Z

387

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

o Includes option to elect into Shared Rate Plan, if room under limit Bonneville Power Administration 061708 Revision (Original version issued externally April 11, 2008)...

388

SciTech Connect (OSTI)

We investigate the leading power corrections to the decay rates and distributions in the decay B{r_arrow}X{sub s}scr(l){sup +}scr(l){sup {minus}} in the standard model (SM) using heavy quark expansion (HQE) in (1/m{sub b}) and a phenomenological model implementing the Fermi motion effects of the b quark bound in the B hadron. In the HQE method, we find that including the leading power corrections the decay width {Gamma}(B{r_arrow}X{sub s}scr(l){sup +}scr(l){sup {minus}}) decreases by about 4{percent} and the branching ratio B(B{r_arrow}X{sub s}scr(l){sup +}scr(l){sup {minus}}) by about 1.5{percent} from their (respective) parton model values. The dilepton invariant mass spectrum is found to be stable against power corrections over a good part of this spectrum. However, near the high-mass end point this distribution becomes negative with the current value of the nonperturbative parameter {lambda}{sub 2} (the {lambda}{sub 1}-dependent corrections are found to be innocuous), implying the breakdown of the HQE method in this region. Our results are at variance with the existing ones in the literature in both the decay rate and the invariant dilepton mass distribution calculated in the HQE approach. As an alternative, we implement the nonperturbative effects in the decay B{r_arrow}X{sub s}scr(l){sup +}scr(l){sup {minus}} using a phenomenologically motivated Gaussian Fermi motion model. We find small corrections to the branching ratio, but the nonperturbative effects are perceptible in both the dilepton mass distribution and the forward-backward asymmetry in the high dilepton mass region. (Abstract Truncated)

Ali, A.; Hiller, G. [Deutsches Elektronen-Synchroton DESY, Notkestrasse 85, D-22603 Hamburg (Germany)] [Deutsches Elektronen-Synchroton DESY, Notkestrasse 85, D-22603 Hamburg (Germany); Handoko, L.T.; Morozumi, T. [Department of Physics, Hiroshima University, 1-3-1 Kagamiyama, Higashi Hiroshima - 739 (Japan)] [Department of Physics, Hiroshima University, 1-3-1 Kagamiyama, Higashi Hiroshima - 739 (Japan)

1997-04-01T23:59:59.000Z

389

E-Print Network [OSTI]

the concentration of different heavy metal pollutants [5]. Modelling multiple output variables is a challenge as we methodology for synthetic data and real world applications on pollution prediction and a sensor network. 1

Rattray, Magnus

390

E-Print Network [OSTI]

Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs Yuval Emek1 , Jochen Seidel2, and leader election. 1 Introduction We study computability in networks, referred to hereafter as distributed

391

Science Journals Connector (OSTI)

Failure Mode and Effects Analysis (FMEA) is a prospective risk assessment tool that ... this study was to explore the validity of FMEA outputs within a hospital setting in the...

Nada Atef Shebl; Bryony Dean Franklin; Nick Barber

2012-06-01T23:59:59.000Z

392

E-Print Network [OSTI]

An error correction and grid adaptive method is presented for improving the accuracy of functional outputs of compressible flow simulations. The procedure is based on an adjoint formulation in which the estimated error in ...

Venditti, David Anthony, 1973-

2002-01-01T23:59:59.000Z

393

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

The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

394

E-Print Network [OSTI]

The European Spallation Source (ESS) is one of the world’s most powerful neutron source. The ESS linac will accelerate 50mA pulse current of protons to 2.5GeV in 2.86 ms long pulses at a repetition rate of 14 Hz. It produces a beam with 5MW average power and 125MW peak power. ESS Spoke Linac consist of 28 superconducting spoke cavities, which will be developed by IPN Orsay, France. These Spoke Cavities will be tested at low power at IPN Orsay and high power testing will be performed in a high power test stand at Uppsala University. The test stand consists of tetrode based RF amplifier chain (352MHz, 350 kW) power and related RF distribution. Outputs of two tetrodes shall be combined with the hybrid coupler to produce 350 kW power. Preamplifier for a tetrode shall be solid state amplifier. As the spoke cavities are superconducting, the test stand also includes horizontal cryostat, Helium liquefier, test bunker etc. The paper describes features of the test stand in details.

Yogi, RA; Dancila, D; Gajewski, K; Hermansson, L; Noor, M; Wedberg, R; Santiago-Kern, R; Ekelöf, T; Lofnes, T; Ziemann, V; Goryashko, V; Ruber, R

2013-01-01T23:59:59.000Z

395

SciTech Connect (OSTI)

As a result of its 1993{endash}94 work, NII NPO {open_quote}{open_quote}LUCH{close_quote}{close_quote} developed a thermionic fuel element (TFE) SC-320 intended for use as part of a nuclear thermionic reactor-converter known as SPACE-R designed in the US and rated at 40 kW of output electric power. This paper presents the results of the demonstration electric power tests of the SC-320 TFE mock-up conducted in the US at the TSET testing facility located at the University of New Mexico. The data obtained are compared to the calculated characteristics as well as the output parameters of the Topaz-2 NPS TFEs. {copyright} {ital 1996 American Institute of Physics.}

Nikolaev, Y.V.; Eremin, S.A.; Kolesov, V.S.; Lapochkin, N.V.; Izhvanov, O.L.; Semin, R.N.; Androsov, V.N.; Agafonov, V.N. [Research Institute of SIA LUCH`, Podolsk (Russian Federation); Koester, J.K. [Space Power Incorporated, 621 River Oaks Parkway, San-Jose, California 95134 (United States)

1996-03-01T23:59:59.000Z

396

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

Power Projects Power Projects Contact SN Customers Environmental Review-NEPA Operations & Maintenance Planning & Projects Power Marketing Rates You are here: SN Home page > About SNR Power Projects Central Valley: In California's Central Valley, 18 dams create reservoirs that can store 13 million acre-feet of water. The project's 615 miles of canals irrigate an area 400 miles long and 45 miles wide--almost one third of California. Powerplants at the dams have an installed capacity of 2,099 megawatts and provide enough energy for 650,000 people. Transmission lines total about 865 circuit-miles. Washoe: This project in west-central Nevada and east-central California was designed to improve the regulation of runoff from the Truckee and Carson river systems and to provide supplemental irrigation water and drainage, as well as water for municipal, industrial and fishery use. The project's Stampede Powerplant has a maximum capacity of 4 MW.

397

E-Print Network [OSTI]

describes a power grid sizing method to mini- mize the worstmini- xvi mizes the worst total voltage violation area for all outputs of a given on-chip power grid

Du, Peng

2012-01-01T23:59:59.000Z

398

Laboratory data and modeling results are presented on a military auxiliary power unit engine that has a peak efficiency of 35.3% at an output shaft power of 25 kW.

399

Science Journals Connector (OSTI)

A solar chimney power plant system is theoretically designed for ... by mathematical software. The actual values of solar irradiation in Jordan are used in the ... simulation to predict the power output of the solar

2012-10-01T23:59:59.000Z

400

E-Print Network [OSTI]

to a single Power Basic ROM set and may be made to shareprogram is burned into ROM and preset to automatically startto generate the 9980 clock. ROM, RAM and input/ output chip

Meng, John

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "rated output power" 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

SciTech Connect (OSTI)

The presentation describes the value of adding DC converters and other power electronics to modules to improve their output even when shading or bad cells would otherwise decrease the module output. The presentation was part of a workshop sponsored by ARPA-E exploring the opportunities for power electronics to support PV applications.

Kurtz, S.; Deline, C.; Wohlgemuth, J.; Marion, B.; Granata, J.

2011-02-01T23:59:59.000Z

402

E-Print Network [OSTI]

energy. However, solar powered sys- tems must also consider the output level of the solar panel for power be counterproductive. Another problem that is of particular importance to solar pan- els is load matching. Solar panels is around 0.7Â­1.2, solar panels have a much larger Ri value as a function of the solar output and current

Shinozuka, Masanobu

403

E-Print Network [OSTI]

using "ncview" and "matlab" to analyze output from your model. The model output is in netcdf format for the output. I use matlab to measure, plot, compute, etc.. Recall the the model output is stored in: /scratch shown at the top.) matlab I hope you have some experience with matlab. There are handy tutorials

Gerber, Edwin

404

E-Print Network [OSTI]

LOW?PRESSURE I WASTE STEAM r ... IMPROVING THE THERMAL OUTPUT AVAILABILITY OF RECIPROCATING ENGINE COGENERATION SYSTEMS BY MECHANICAL VAPOR COMPRESSION F.E. Becker and F.A. DiBella Tecogen, Inc., a Subsidiary of Thermo El~ctron Corporation...-user with electric power and process heat that is totally in the form of high-pressure steam. Current recipro cating engine systems can now provide only low pressure steam or hot water from the engine jacket, and this often is not needed or not the most appro...

Becker, F. E.; DiBella, F. A.; Lamphere, F.

405

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

406

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

reports reports Coal Transportation Rates to the Electric Power Sector With Data through 2010 | Release Date: November 16, 2012 | Next Release Date: December 2013 | Correction Previous editions Year: 2011 2004 Go Figure 1. Deliveries from major coal basins to electric power plants by rail, 2010 Background In this latest release of Coal Transportation Rates to the Electric Power Sector, the U.S. Energy Information Administration (EIA) significantly expands upon prior versions of this report with the incorporation of new EIA survey data. Figure 1. Percent of total U.S. rail shipments represented in data figure data Previously, EIA relied solely on data from the U.S. Surface Transportation Board (STB), specifically their confidential Carload Waybill Sample. While valuable, due to the statistical nature of the Waybill data,

407

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

DSW Multiple System Transmission Rate Process DSW Multiple System Transmission Rate Process Federal Register Notice Withdrawing Rate Proposal (PDF) Formal Process Extension Federal Register Notice (PDF) Customer Savings Under Various MSTR (XLS) Public Information Forum March 29, 2005 Customer Meeting Overview (Power Point) Customer Meeting Overview (PDF) Customer Meeting Transcript (PDF) Public Comment Forum April 6, 2005 Customer Meeting Transcript (PDF) Response Letter 5-17-05 (PDF) Customer Letters Tonopah ID-5/25/05 (PDF) APS-5/26/05 (PDF) SRP-5/27/05 (PDF) RSLynch-6/1/05 (PDF) KRSaline-6/1/05 (PDF) Formal Process Federal Register Notice (Word) Federal Register Notice (PDF) Brochure (Word) Appendices to Brochure: A B C D E1 E2 F1 F2 GH Public Information Forum July 14, 2004 Customer Meeting Overview (Power Point)

408

DOE Patents [OSTI]

A high-power power supply produces a controllable, constant high voltage put under varying and arcing loads. The power supply includes a voltage regulator, an inductor, an inverter for producing a high frequency square wave current of alternating polarity, an improved inverter voltage clamping circuit, a step up transformer, an output rectifier for producing a dc voltage at the output of each module, and a current sensor for sensing output current. The power supply also provides dynamic response to varying loads by controlling the voltage regulator duty cycle and circuitry is provided for sensing incipient arc currents at the output of the power supply to simultaneously decouple the power supply circuitry from the arcing load. The power supply includes a plurality of discrete switching type dc--dc converter modules.

Shimer, Daniel W. (Danville, CA); Lange, Arnold C. (Livermore, CA)

1996-01-01T23:59:59.000Z

409

SciTech Connect (OSTI)

Five years of operating experience at the Comision Federal de Electricidad (CFE) Cerro Prieto flashed steam geothermal power plant are evaluated from the perspective of U. S. utility operations. We focus on the design and maintenance of the power plant that led to the achievement of high plant capacity factors for Units No. 1 and 2 since commercial operation began in 1973. For this study, plant capacity factor is the ratio of the average load on the machines or equipment for the period of time considered to the capacity rating of the machines or equipment. The plant capacity factor is the annual gross output in GWh compared to 657 GWh (2 x 37.5 MW x 8760 h). The CFE operates Cerro Prieto at base load consistent with the system connected electrical demand of the Baja California Division. The plant output was curtailed during the winter months of 1973-1975 when the system electric demand was less than the combined output capability of Cerro Prieto and the fossil fuel plant near Tijuana. Each year the system electric demand has increased and the Cerro Prieto units now operate at full load all the time. The CFE added Units 3 and 4 to Cerro Prieto in 1979 which increased the plant name plate capacity to 150 MW. Part of this additional capacity will supply power to San Diego Gas and Electric Company through an interconnection across the border. The achievement of a high capacity factor over an extensive operating period was influenced by operation, design, and maintenance of the geothermal flash steam power plant.

Alt, Theodore E.

1980-12-01T23:59:59.000Z

410

SciTech Connect (OSTI)

Four 10 MW, highly-stabilized power supply modules have been installed at the National High Magnetic Field Laboratory in Tallahassee, FL, to energize water-cooled, resistive, high-field research magnets. The power supply modules achieve a long term current stability if 10 ppM over a 12 h period with a short term ripple and noise variation of <10 ppM over a time period of one cycle. The power supply modules can operate independently, feeding four separate magnets, or two, three or four modules can operate in parallel. Each power supply module consists of a 12.5 kV vacuum circuit breaker, two three-winding, step-down transformers, a 24-pulse rectifier with interphase reactors, and a passive and an active filter. Two different transformer tap settings allow rated dc supply output voltages of 400 and 500 V. The rated current of a supply module is 17 kA and each supply module has a one-hour overload capability of 20 kA. The isolated output terminals of each power supply module are connected to a reversing switch. An extensive high-current bus system allows the modules to be connected to 16 magnet cells. This paper presents the detailed design of the power supply components. Various test results taken during the commissioning phase with a 10 MW resistive load and results taken with the research magnets are shown. The effects of the modules on the electrical supply system and the operational behavior of the power factor correction/harmonic filters are described. Included also are results of a power supply module feeding a superconducting magnet during quench propagation tests. Problems with the power supply design and solutions are presented. Some suggestions on how to improve the performance of these supplies are outlined.

Boenig, H.J. [Los Alamos National Lab., NM (United States); Ferner, J.A. [Florida State Univ., Tallahassee, FL (United States). Nationa High Magnetic Field Laboratory; Bogdan, F.; Morris, G.C. [ABB Industrial Systems, New Berlin, WI (United States); Rumrill, R.S. [Alpha Scientific Electronics Inc., Hayward, CA (United States)

1995-07-01T23:59:59.000Z

411

Science Journals Connector (OSTI)

This paper presents power estimation and reliability evaluation of the micro hydro power generation system based on municipal waste water. Self-excited induction generator was used in the developed power plant, situated at IIT (BHU) campus, Varanasi, India. The hydro potential of the waste water flowing through sewage system of the Banaras Hindu University has been determined for annual flow duration and daily flow duration curves by ordering the recorded waste water from maximum to minimum flows. This paper estimates output power and determines reliability indices like: failure rate, repair rate, MTTF, MTTR and MTBF of the MWW-based developed generation plant. Design parameters of the SEIG with suitable values of the capacitor have been used and recommended for improvement of the power generation quality and reliability of the system.

Lokesh Varshney; R.K. Saket; Saeid Eslamian

2013-01-01T23:59:59.000Z

412

Introduction to MEAG Power Introduction to MEAG Power Southeastern Federal Power Alliance Meeting October 9, 2013 Municipal Electric Authority of Georgia â–  Joint Action Agency â”€ Formed in 1975 â”€ Owns and operates electric generation and transmission facilities â”€ Provides bulk electric power to 48 cities and 1 county in the State of Georgia â–  All 49 Participants have reaffirmed 50-year power sales extensions â–  Take-or-pay contracts with participants are court validated contracts with a General Obligation pledge from each city â–  Generation ownership interest in 10 generating units and a transmission system â”€ 2,069 MW generating capacity online â”€ 500 MW Plant Vogtle Units 3 & 4 under development â–  Schedules the output from the SEPA contracts for the 49 members

413

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

414

E-Print Network [OSTI]

Basin Center for Geothermal Energy at University of Nevada, Reno (UNR) 2 Nevada Geodetic LaboratoryStillwater Power Plant Wabuska Power Plant Casa Diablo Power Plant Glass Mountain Geothermal Area Lassen Geothermal Area Coso Hot Springs Power Plants Lake City Geothermal Area Thermo Geothermal Area

Tingley, Joseph V.

415

Open Energy Info (EERE)

Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Report Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Capture, Transport and Storage Regulatory Test Exercise: Output Report Focus Area: Clean Fossil Energy Topics: Market Analysis Website: cdn.globalccsinstitute.com/sites/default/files/publications/7326/carbo Equivalent URI: cleanenergysolutions.org/content/carbon-capture-transport-and-storage- Policies: Regulations Regulations: Emissions Mitigation Scheme The Scottish Government published this report to identify regulatory gaps or overlaps in the nation's framework for regulating carbon capture and storage (CCS). The report aims to streamline and better manage CCS regulation. It focuses on evaluating the risks, barriers, information gaps,

416

Open Energy Info (EERE)

OECD Input-Output Tables OECD Input-Output Tables Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Input-Output Tables Agency/Company /Organization: Organisation for Economic Co-Operation and Development Topics: Co-benefits assessment, Market analysis, Co-benefits assessment, Pathways analysis Resource Type: Dataset Website: www.oecd.org/document/3/0,3343,en_2649_34445_38071427_1_1_1_1,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India, Canada, New Zealand, United States, Denmark, Norway, Spain, Austria, Italy, Netherlands, Ireland, France, Belgium, Brazil, Czech Republic, Estonia, Germany, Hungary, Luxembourg, Mexico, Slovenia, South Africa, Turkey, Indonesia, Switzerland, Taiwan, Russia

417

Science Journals Connector (OSTI)

Current digital evidence acquisition tools are effective, but are tested rather than formally proven correct. We assert that the forensics community will benefit in evidentiary ways and the scientific community will benefit in practical ways by moving beyond simple testing of systems to a formal model. To this end, we present a hierarchical model of peripheral input to and output from von Neumann computers, patterned after the Open Systems Interconnection model of networking. The Hadley model categorizes all components of peripheral input and output in terms of data flow; with constructive aspects concentrated in the data flow between primary memory and the computer sides of peripherals' interfaces. The constructive domain of Hadley is eventually expandable to all areas of the I/O hierarchy, allowing for a full view of peripheral input and output and enhancing the forensics community's capabilities to analyze, obtain, and give evidentiary force to data.

Matthew Gerber; John Leeson

2004-01-01T23:59:59.000Z

418

SciTech Connect (OSTI)

This paper presents an analysis of the multi-stage Rankine cycle aiming at optimizing the power output from low-temperature heat sources such as geothermal or waste heat. A design methodology based on finite-time thermodynamics and the maximum power concept is used in which the shape and the power output of the maximum power cycle are identified and utilized to compare and evaluate different Rankine cycle configurations. The maximum power cycle provides the upper-limit power obtained from any thermodynamic cycle for specified boundary conditions and heat exchanger characteristics. It also provides a useful tool for studying power cycles and forms the basis for making design improvements.

Ibrahim, O.M. [Univ. of Rhode Island, Kingston, RI (United States). Mechanical Engineering Dept.; Klein, S.A. [Univ. of Wisconsin, Madison, WI (United States). Mechanical Engineering Dept.

1995-09-01T23:59:59.000Z

419

E-Print Network [OSTI]

power: 130 watts Induction motor PSERC Incandescent lights 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 0 power: 150 watts #12;Page 4 PSERC Incandescent Lights PSERC Induction motor with no load #12;Page 5 Incandescent Lights #12;Page 7 PSERC Incandescent lights power: Power = 118 V x 1.3 A = 153 W = 0.15 kW = power

420

Area: Virginia, North Carolina, Tennessee, Georgia, Alabama, Mississippi, Kentucky, southern Illinois System: CU

Note: This page contains sample records for the topic "rated output power" 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

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

Schedule Effective Dates Energy (MillskWh) Capacity (kW-mo.) Combined (MillskWh) R5-F1 1940 - 1949 3.000 - 8.000 (declining block) 1.250 N.A. R5-F2 549 - 474 4.000 - 4.5000...

422

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

Schedule Effective Dates Energy (MillskWh) Capacity (kW-mo.) Combined (MillskWh) R4-F1 thru 474 3.000 1.275 6.000 UC-F1 474-677 3.000 1.320 6.110 UC-F2 (Firm Only) 6...

423

E-Print Network [OSTI]

Multi-junction photovoltaics provide a logical method of increasing the utilization of solar power for a given area. However, their current design and fabrication methods invoke numerous material and cost complexities that limit their potential, particularly for flat panel paradigms. In this paper, three general strategies based on the electrical isolation of the internal sub-layers are described. These strategies involve current or voltage matching the sub-layers by varying of fractional absorption and areal coverage of individual cells within each sub-layer, as well as modifying their combined output using power electronics. A simplified theoretical description of these strategies is provided for pairs of junction materials that allows a more streamlined description of the requirements.

Abrams, Ze'ev R

2014-01-01T23:59:59.000Z

424

E-Print Network [OSTI]

ePOWER Seminar AC solar cells: A new breed of PV power generation Professor Faisal Khan Assistant dc output which needs to be processed and inverted for ac applications. Using a modern manufacturing facility, PV panels could be mass produced without any apparent issues. Unfortunately, power converters

Abolmaesumi, Purang

425

Science Journals Connector (OSTI)

The purpose of this study is to analyze the ways to increase total output of Japanese energy sectors in future time. In this study, Input-Output (IO) analysis is employed as a tool of analysis. This study focuses on petroleum refinery products and non-ferrous metals as analyzed sectors. The results show that positive impact observed in export and outside households consumption modifications while opposite impact is given by modification of import. The recommendations suggested based on these results are Japanese government should make breakthroughs so analyzed sector's export activities can increase and they have to careful in conducting import activities related to these sectors.

Ubaidillah Zuhdi

2014-01-01T23:59:59.000Z

426

Handbook providing practical information to help regulators decide if they want to use output-based regulations and explains how to develop an output-based emission standard

427

E-Print Network [OSTI]

Physic vosibirsk, R rates with PA- NDAC-16*1 Number of ch Bits Precision Output voltag Load resistan NADC-40*2 Number of ch Bits Integration ti Effective bits Effective bits Input voltage Input resistan DC

Kozak, Victor R.

428

E-Print Network [OSTI]

MODELING MULTI-OUTPUT FILTERING EFFECTS IN PCMOS Anshul Singh* , Arindam Basu , Keck-Voon Ling* and Vincent J. Mooney III*$Â§ Email: anshul.singh@research.iiit.ac.in, {arindam.basu, ekvling}@ntu, Nanyang Technological University (NTU), Singapore * NTU-Rice Institute of Sustainable and Applied Mooney, Vincent 429 E-Print Network [OSTI] Output-Sensitive Algorithms for Tukey Depth and Related Problems David Bremner University of New de Bruxelles Pat Morin Carleton University Abstract The Tukey depth (Tukey 1975) of a point p halfspace that contains p. Algorithms for computing the Tukey depth of a point in various dimensions Morin, Pat 430 E-Print Network [OSTI] Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut BÃ¶lcskei Communication Technology 431 E-Print Network [OSTI] Maximizing output from oil reservoirs without water breakthrough S.K. Lucas School of Mathematics, revised May 2003, published 45(3), 2004, 401Â­422 Abstract Often in oil reservoirs a layer of water lies, for example, Muskat [8], Bear [1]). When oil is removed from the reservoir by an oil well, it will generate Lucas, Stephen 432 DOE Patents [OSTI] A high voltage DC power supply having a first series resistor at the output for limiting current in the event of a short-circuited output, a second series resistor for sensing the magnitude of output current, and a voltage divider circuit for providing a source of feedback voltage for use in voltage regulation is disclosed. The voltage divider circuit is coupled to the second series resistor so as to compensate the feedback voltage for a voltage drop across the first series resistor. The power supply also includes a pulse-width modulated control circuit, having dual clock signals, which is responsive to both the feedback voltage and a command voltage, and also includes voltage and current measuring circuits responsive to the feedback voltage and the voltage developed across the second series resistor respectively. 7 figs. Droege, T.F. 1989-12-19T23:59:59.000Z 433 DOE Patents [OSTI] A high voltage DC power supply having a first series resistor at the output for limiting current in the event of a short-circuited output, a second series resistor for sensing the magnitude of output current, and a voltage divider circuit for providing a source of feedback voltage for use in voltage regulation is disclosed. The voltage divider circuit is coupled to the second series resistor so as to compensate the feedback voltage for a voltage drop across the first series resistor. The power supply also includes a pulse-width modulated control circuit, having dual clock signals, which is responsive to both the feedback voltage and a command voltage, and also includes voltage and current measuring circuits responsive to the feedback voltage and the voltage developed across the second series resistor respectively. Droege, Thomas F. (Batavia, IL) 1989-01-01T23:59:59.000Z 434 SciTech Connect (OSTI) A mathematical description of a closed control system with allowance for pressure fluctuations in the head system, which makes it possible to analyze the regime stability of orthogonal generating sets at tidal electric power plants when operating in the complete range of heads, outputs, and rotational speeds, and to select parameters of the control system, is obtained for an orthogonal hydroturbine and a generator with a load regulator. Berlin, V. V.; Murav'ev, O. A.; Golubev, A. V. 2012-03-15T23:59:59.000Z 435 E-Print Network [OSTI] With Uniformly Excited Ports Daryl T. Spencer, Studentto larger number of output ports while maintaining goodis promising for high-port-count power splitters without the Spencer, Daryl T; Dai, Daoxin; Tang, Yongbo; Heck, Martijn J. R; Bowers, John E 2013-01-01T23:59:59.000Z 436 E-Print Network [OSTI] Heart Rate Variability Malvin Carl Teich Boston University and Columbia University http, Grasmere, UK, 2005 #12;CONGESTIVE HEART FAILURE INABILITY OF HEART TO INCREASE CARDIAC OUTPUT IN PROPORTION of breath Swelling in legs General fatigue and weakness Clinical diagnostics: Ascultate heart Carotid pulse Teich, Malvin C. 437 Science Journals Connector (OSTI) This paper presents data for output sound powerP O of wind instruments relation to input power P I supplied by the player. P I was calculated as pV? where p equals mouth pressure and V? air flow rate through the instrument. P O was calculated from sound?pressure level and measurements of reverberation time in a live room of known volume. A part of the data was obtained in a room of unknown characteristics; from 15 comparable measurements on 8 different instruments in both the live and the unknown room data were obtained that allowed calculation of P O also from other experiments in the unknown room. Measurements were made on single notes played both pp and ff on each instrument; one low and one high note on the scale of each instrument were chosen. The ratio P O/P I representing the mechanical efficiency of wind instruments as sources of sound power varies from less than 0.001% to about 2%. It appears to increase with increasing P I and in some instruments with frequency. The consistent results obtained for 3 different flutes played by one performer suggest that the variability noted in the other data at least partially reflects individual differences in mechanical efficiency. Arend Bouhuys 1965-01-01T23:59:59.000Z 438 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) GID1 GID1 UNITED STATES DEPARTMENT OF ENERGY WESTERN AREA POWER ADMINISTRATION CENTRAL VALLEY PROJECT SCHEDULE OF RATE FOR GENERATOR IMBALANCE SERVICE Effective: October 1, 2011, through September 30, 2016. Available: Within the marketing area served by the Western Area Power Administration (Western), Sierra Nevada Customer Service Region (SNR). Applicable: To generators receiving Generator Imbalance Service (GI). Character and Conditions of Service: GI is provided when a difference occurs between the scheduled and actual delivery of energy from an eligible generation resource within the Sub-Balancing Authority (SBA), over an hour, or in accordance with approved policies. The deviation in megawatts is the net scheduled amount of generation minus the net metered output from the generator's (actual generation) 439 Science Journals Connector (OSTI) We present a high-power diode-pumped Yb:CaF2 laser operating at cryogenic temperature (77K). A laser output power of 97W at 1034nm was extracted for a pump power of 245W.... Ricaud, S; Papadopoulos, D N; Camy, P; Doualan, J L; Moncorgé, R; Courjaud, A; Mottay, E; Georges, P; Druon, F 2010-01-01T23:59:59.000Z 440 SciTech Connect (OSTI) During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated. Thuc Bui; R. Lawrence Ives 2012-04-27T23:59:59.000Z Note: This page contains sample records for the topic "rated output power" 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 Science Journals Connector (OSTI) Clock-controlled generators are a kind of pseudo-random number generators (PRNG). Recently, some clock-controlled generators based on jumping Linear Finite State Machines (LFSMs) have been proposed, such as Pomaranch and MICKEY. The period and the linear complexity of their output sequences need to be large enough to provide security against linear attacks. In this paper, a new condition for the period to reach its maximal value is presented. The condition is better than the previous one. Further, some clock-controlled generators are considered, including a new generator which uses a Feedback with Carry Shift Register (FCSR) as the control register. How to maximise the period of their output sequences is investigated. Zhiqiang Lin 2014-01-01T23:59:59.000Z 442 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Power Analyzer Power Analyzer Power Analyzer power analyzer Gonio-photometer | Integrating sphere | Power analyzer | Spectro-radiometer A power analyzer is a very necessary tool for lighting research. With the power analyzer we are able to monitor the input voltage to the lamp as well as the input power and current. The amount of power a lamp or a lamp-ballast combination uses is very important when determining its efficiency. It is also important to monitor the input voltage to make sure it doesn't vary. This can affect the light output of a lamp greatly. With the power analyzer we can also measure things like the power factor, harmonic distortion, and current crest factor of some lamps. These measurements tell us how well a lamp is working. For example, a high power 443 Science Journals Connector (OSTI) ...A 188, 611620. Askew, G. N. & Marsh, R. L. 1998 Optimal shortening velocity...Biol. 114, 493512. Josephson, R. K. 1993 Contraction dynamics and...Ann. Rev. Physiol. 55, 527546. Marsh, R. L. 1999 How muscles deal with real-world... 2004-01-01T23:59:59.000Z 444 E-Print Network [OSTI] ??Solar energy is a renewable resource that is environmentally friendly. Unlike fossil fuels, solar energy is available just about everywhere on earth. This source of… (more) Alkhatib, Husam Hamdi 2007-01-01T23:59:59.000Z 445 SciTech Connect (OSTI) This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy. Diana K. Grauer; Michael E. Reed 2011-11-01T23:59:59.000Z 446 DOE Patents [OSTI] A method and apparatus are provided for monitoring a motor operated valve during the brief period when the valve seats and the torque switch trips to deenergize the valve motor. The method uses voltage measurements on the load side of a deenergizing switch that opens to deenergize the motor to determine, among other things, final motor rotational speed and the decelerating torque at motor deenergization. 14 figs. Casada, D.A. 1996-01-16T23:59:59.000Z 447 SciTech Connect (OSTI) By using the helium generated by the alpha emissions of a thermoelectric generator during space travel for cooling, the thermal degradation of the thermoelectric generator can be slowed. Slowing degradation allows missions to be longer with little additional expense or payload. Mowery, Jr., Alfred L. (Potomac, MD) 1993-01-01T23:59:59.000Z 448 SciTech Connect (OSTI) By using the helium generated by the alpha emissions of a thermoelectric generator during space travel for cooling, the thermal degradation of the thermoelectric generator can be slowed. Slowing degradation allows missions to be longer with little additional expense or payload. 1 figures. Mowery, A.L. Jr. 1993-09-21T23:59:59.000Z 449 Science Journals Connector (OSTI) A modified friction-loaded cycle ergometer (Monark, model 864, Monark ... stored on a computer. Instantaneous flywheel velocity data were low-pass filtered (4th order Reverse ... inertia was calculated from decel... Gregory C. Bogdanis; Aggeliki Papaspyrou… 2007-10-01T23:59:59.000Z 450 E-Print Network [OSTI] properties of ZnO make it an ideal choice for applications in nanogenerators10 13 for converting mechanical together with the thermionic emission theory has explained the four kinds of relationships observed Wang, Zhong L. 451 SciTech Connect (OSTI) By using the helium generated by the alpha emissions of a thermoelectric generator during space travel for cooling the thermal degradation of the thermoelectric generator can be slowed. Slowing degradation allows missions to be longer with little additional expense or payload. Mowery, A.L. Jr. 1992-12-31T23:59:59.000Z 452 Science Journals Connector (OSTI) Numerical simulation in large-scale solar chimney is not usually studied in previous study. ... In this paper, the height of the chimney is 1km, and the collector radius is ... used in the entrance and exit of th... J. M. Sun; M. Yang; Y. G. Shan 2007-01-01T23:59:59.000Z 453 E-Print Network [OSTI] The manual processing of food products has become a substantial part of the daily routine of a typical household in the developing world. Consumption of oil is an essential part of an individual's diet and thus, the ... Patel, Ravi M. (Ravi Mahendra) 2007-01-01T23:59:59.000Z 454 Open Energy Info (EERE) Power Admin Power Admin Place Georgia Utility Id 29304 Utility Location Yes Ownership F NERC Location SERC NERC FRCC Yes NERC SERC Yes Activity Buying Transmission Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Wholesale Power Rate Schedule AP-1-B Commercial Wholesale Power Rate Schedule AP-2-B Commercial Wholesale Power Rate Schedule AP-3-B Commercial Wholesale Power Rate Schedule AP-4-B Commercial Wholesale Power Rate Schedule CBR-1-H Commercial Wholesale Power Rate Schedule CC-1-I Commercial Wholesale Power Rate Schedule CK-1-H Commercial 455 SciTech Connect (OSTI) Injection locking is investigated as a means for control of optical pulse duration and polarization in a XeF laser. Intense short-pulse generation in the ultraviolet is achieved by injection of a low-level 1-ns optical pulse into a XeF oscillator. Control of laser output polarization by injection locking is demonstrated and studied as a function of injected signal level. Enhancement of XeF electric-discharge laser efficiency by injection pulse ''priming'' is observed. Pacala, T.J.; Christensen, C.P. 1980-04-15T23:59:59.000Z 456 E-Print Network [OSTI] photovoltaic generation facility. Solar panel output is in white, and the response of the XP DPR is in red Solar Power Generation Introduction The rapid growth of wind and solar power is a key driver of the development of grid-scale Battery Energy Storage Systems (BESS). A well implemented BESS co-located with solar Ben-Yakar, Adela 457 SciTech Connect (OSTI) Barriers to industrial energy-efficient technologies hinder their use. A number of EPA analyses and industrial experts have found that the utilization of input-based emissions standards (measured in parts-per-million or pounds/MMBtu) in the Clean Air Act creates a regulatory barrier to the installation and deployment of technologies that emit fewer criteria pollutants and use energy more efficiently. Changing emission management strategies to an output-based emissions standard (measured in tons of pollutant emitted) is a way to ameliorate some of these barriers. Combined heat and power (CHP) is one of the key technologies that would see increased industrial application if the emissions standards were modified. Many states have made this change since the EPA first approved it in 2000, although direction from the Federal government could speed implementation modifications. To analyze the national impact of accelerated state adoption of output-based standards on CHP technologies, this paper uses detailed National Energy Modeling System (NEMS) and spreadsheet analysis illustrating two phased-in adoption scenarios for output-based emissions standards in the industrial sector. Benefit/cost metrics are calculated from a private and public perspective, and also a social perspective that considers the criteria and carbon air pollution emissions. These scenarios are compared to the reference case of AEO 2010 and are quite favorable, with a social benefit-cost ratio of 16.0 for a five-year phase-in scenario. In addition, the appropriateness of the Federal role, applicability, technology readiness, and administrative feasibility are discussed. Cox, Matthew [Georgia Institute of Technology] [Georgia Institute of Technology; Brown, Dr. Marilyn Ann [Georgia Institute of Technology] [Georgia Institute of Technology; Jackson, Roderick K [ORNL] [ORNL 2011-01-01T23:59:59.000Z 458 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 459 SciTech Connect (OSTI) For the first time it has been shown that the pulse repetition rate of the lasers on the self-terminating transitions of metal atoms may be as high as {approx}1 MHz. The highest pulse repetition rate equal to {approx}830 kHz was realised on self-terminating IR transitions in Sr I atoms ({lambda} = 6.456 {mu}m and {approx}3 {mu}m) and in Sr II ions ({lambda} {approx} 1 {mu}m) in a strontium vapour laser operating in a self-heating pulse periodic regime. The energy yield of a Sr laser was found to be proportional to the energy input into the active medium in a wide range of excitation pulse repetition frequencies; in this case, the average total specific output laser power is equal to 30 - 40 mW cm{sup -3}. (lasers) Soldatov, Anatolii N; Yudin, Nikolai A; Vasilieva, Anna V; Kolmakov, E A; Polunin, Yurii P; Kostyrya, I D 2012-01-31T23:59:59.000Z 460 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) Southeastern Power Administration Southeastern Power Administration Search Search form Search Southeastern Power Administration Southeastern Power Administration Services Services Home Rate Schedules Acquisition Program Competitive Resource Strategies Annual Reports SEPA FOIA Power Operations Power Operations Home How it Works Generation Quick Facts Mission About Us About Us Home News News Home Press Releases Career Opportunities SEPA History SEPA Video Offices Southeastern Power Administration Southeastern Power Administration Power Operations Click to view a map of SEPA power operations. Latest Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina Note: This page contains sample records for the topic "rated output power" 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 E-Print Network [OSTI] reactor with an initial power rating of 1593 thermal megawatts (MWt) to provide a net power output of 513 electrical megawatts (Me). The reactor will be cooled by a once-through flow of water pumped from and returned to Vernon Pond, an existing impoundment of the Connecticut River (built to serve the Vernon Hydroelectric Station) and also by means of mechanical draft cooling towers. 3. Sumnary of environmental impact including beneficial and adverse effects follows: a. Cooling water heated to about 20*F above inlet temperature will be discharged to Vernon Pond at a rate of 840 cfs when the plant operates on a total open-cycle basis. Mechanical-draft cooling towers are provided to protect Vernon Pond during low flow and critical temperature periods in the Connecticut River. b. About 150 acres of Vernon Pond in the vicinity of the station may be subjected to some thermal and biological stress from discharge of the Vermont Yankee 462 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) utilities, the Bonneville Power Administration today proposed a 6.7 percent average wholesale power rate increase for the fiscal year 2016-2017 rate period. BPA is also proposing... 463 DOE Patents [OSTI] A radiation dose-rate meter is provided which uses an energy-sensitive detector and combines charge quantization and pulse-rate measurement to monitor radiation dose rates. The charge from each detected photon is quantized by level-sensitive comparators so that the resulting total output pulse rate is proportional to the dose-rate. Kopp, Manfred K. (Oak Ridge, TN) 1988-01-01T23:59:59.000Z 464 Broader source: Energy.gov (indexed) [DOE] Cleco Power - Power Miser New Home Program Cleco Power - Power Miser New Home Program Cleco Power - Power Miser New Home Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Sealing Your Home Windows, Doors, & Skylights Ventilation Heating Heat Pumps Water Heating Program Info State Louisiana Program Type Utility Rate Discount Rebate Amount Discount: 10% discount on energy from November through April for the first five years that the customer lives in participating house. Heat Pump Bonus: Up to$1,000 for eligible heat pump installations Provider Cleco Power Louisiana's Cleco Power offers energy efficiency incentives to eligible

465

SciTech Connect (OSTI)

Nanopillar arrays with InGaN/GaN multiple-quantum-disks (MQDs) are fabricated by focused-ion-beam milling with surface damage layer removed by KOH wet etching. Nano-light-emitting diodes (Nano-LEDs) made of the InGaN/GaN MQD nanopillars are found to have 19.49% less output power than that of a conventional LED. The reasons are analyzed in detail and considering their current-voltage and electroluminescence characteristics, internal quantum efficiency, external quantum efficiency, light extraction, and wall-plug efficiency. Our results suggest that nanopillar-LED can outperform if the density can be increased to 2.81?×?10{sup 9}?cm{sup ?2} with the size unchanged or the size can be increased to 854.4?nm with the density unchanged.

Wang, Chao-Hung; Huang, Yu-Wen [Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan (China)] [Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan (China); Wu, Shang-En [Genesis Photonics Incorporation, Tainan 70101, Taiwan (China)] [Genesis Photonics Incorporation, Tainan 70101, Taiwan (China); Liu, Chuan-Pu, E-mail: cpliu@mail.ncku.edu.tw [Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan (China) [Department of Materials Science and Engineering, National Cheng Kung University, Tainan 70101, Taiwan (China); Center for Micro/Nano Science and Technology, National Cheng Kung University, Tainan 70101, Taiwan (China); Research Center for Energy Technology and Strategy, National Cheng Kung University, Tainan 70101, Taiwan (China)

2013-12-02T23:59:59.000Z

466

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

Power Calc PaK Power Calc PaK Power Calc PaK logo Power Calc PaK is smart electrical engineering software with a proprietary database. With just 3 inputs (load kVA, load type, and number of poles), it automatically calculates, and recalculates for changes (upstream and downstream), the entire power distribution system in a building providing more than 300 outputs that are compliant with the National Electrical Code (NEC). Power Calc PaK is a patent-protected innovation (covered by U.S. Patent No. 7,636,650). One bundled calculation integrates all the outputs across all the panelboards and equipment worksheets required for the power distribution system from the branch circuit to the electrical service. A few highlights are: 3 inputs for 300 NEC-compliant outputs; ends tedious and repetitive

467

E-Print Network [OSTI]

When uncontrollable resources fluctuate, Optimum Power Flow (OPF), routinely used by the electric power industry to re-dispatch hourly controllable generation (coal, gas and hydro plants) over control areas of transmission networks, can result in grid instability, and, potentially, cascading outages. This risk arises because OPF dispatch is computed without awareness of major uncertainty, in particular fluctuations in renewable output. As a result, grid operation under OPF with renewable variability can lead to frequent conditions where power line flow ratings are significantly exceeded. Such a condition, which is borne by simulations of real grids, would likely resulting in automatic line tripping to protect lines from thermal stress, a risky and undesirable outcome which compromises stability. Smart grid goals include a commitment to large penetration of highly fluctuating renewables, thus calling to reconsider current practices, in particular the use of standard OPF. Our Chance Constrained (CC) OPF correct...

Bienstock, Daniel; Harnett, Sean

2012-01-01T23:59:59.000Z

468

SciTech Connect (OSTI)

Point Aconi's circulating fluidized-bed boiler experienced erosion, corrosion, and fouling problems from the day it went on-line in 1993. After several frustrating years of unreliable operation, in late 1999, Nova Scotia Power discovered the right combination of engineering and fuel modifications. Today, after a switch to 80% petroleum coke and major boiler modifications, Point Aconi's output exceeds its original nameplate rating. For having the vision and fortitude to plan and execute a multi year, $20 million project to revitalize North America's first in-service utility CFB boiler, Nova Scotia Power's Point Aconi plant is the well-deserved winner of POWER magazine's 2006 Marmaduke Award for excellence in O & M. The award is named for Marmaduke Surfaceblow, the fictional marine engineer/plant troubleshooter par excellence. 10 figs. 1 tab. Peltier, R. 2006-09-15T23:59:59.000Z 469 Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search) 2007 Wholesale Power (WP-07) Rate Case WP-07 Rate Case Workshop Materials Power Function Review (PFR) Financial Choices for FY 2003-2006 Financial-Based Cost Recovery Adjustment... 470 SciTech Connect (OSTI) Normally feathered propeller blades of a wind power generating system unfeather in response to the actuation of a power cylinder that responds to actuating signals. Once operational, the propellers generate power over a large range of wind velocities. A maximum power generation design point signals a feather response of the propellers so that once the design point is reached no increase in power results, but the system still generates power. At wind speeds below this maximum point, propeller speed and power output optimize to preset values. The propellers drive a positive displacement pump that in turn drives a positive displacement motor of the swash plate type. The displacement of the motor varies depending on the load on the system, with increasing displacement resulting in increasing propeller speeds, and the converse. In the event of dangerous but not clandestine problems developing in the system, a control circuit dumps hydraulic pressure from the unfeathering cylinder resulting in a predetermined, lower operating pressure produced by the pump. In the event that a problem of potentially cladestine consequence arises, the propeller unfeathering cylinder immediately unloads. Upon startup, a bypass around the motor is blocked, applying a pressure across the motor. The motor drives the generator until the generator reaches a predetermined speed whereupon the generator is placed in circuit with a utility grid and permitted to motor up to synchronous speed. Schachle, Ch.; Schachle, E. C.; Schachle, J. R.; Schachle, P. J. 1985-03-12T23:59:59.000Z 471 SciTech Connect (OSTI) NCPART is a procedure developed by the Numerical Control Department at Bendix Kansas City Division to handle the entry to and exit from ICEMDDN, and process all of the local files output by ICEMDDN. The NCPART procedure is menu driven, and provides automatic access to ICEMDDN and any files necessary to process information with ICEM for numerical Control users. Basically, the procedure handles all of the ICEMDDN operations that involve operating system commands, and frees the NC programmer to concentrate on his/her work as a programmer. Rossini, B.F. 1986-04-01T23:59:59.000Z 472 SciTech Connect (OSTI) A method for producing non-Gaussian light beams with a uniform intensity profile is described. The method is based on the use of a combined waveguide quasi-optical resonator containing a generalised confocal resonator with an inhomogeneous mirror with absorbing inhomogeneities discretely located on its surface and a hollow dielectric waveguide whose size satisfies the conditions of self-imaging of a uniform field in it. The existence of quasi-homogeneous beams at the output of an optically pumped 0.1188-mm waveguide CH{sub 3}OH laser with a amplitude-stepped mirror is confirmed theoretically and experimentally. (lasers) Volodenko, A V; Gurin, O V; Degtyarev, A V; Maslov, Vyacheslav A; Svich, V A; Topkov, A N [V.N. Karazin Kharkiv National University, Kharkiv (Ukraine) 2007-01-31T23:59:59.000Z 473 Open Energy Info (EERE) Emergency Rating Emergency Rating Jump to: navigation, search Dictionary.png Emergency Rating The rating as defined by the equipment owner that specifies the level of electrical loading or output, usually expressed in megawatts (MW) or Mvar or other appropriate units, that a system, facility, or element can support, produce, or withstand for a finite period. The rating assumes acceptable loss of equipment life or other physical or safety limitations for the equipment involved.[1] Related Terms rating References â†‘ Glossary of Terms Used in Reliability Standards An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Emergency_Rating&oldid=480317" Categories: 474 E-Print Network [OSTI] 1.2 MW grid-connected solar panel at bus 8. The power outputis as in Figure 5.11 [104]. Solar Panel Power Injection (pu)The daily output of the solar panel during a cloudy day. Taylor, Zachariah David 2014-01-01T23:59:59.000Z 475 Science Journals Connector (OSTI) We have demonstrated a high-power laser oscillator with end-cooling using a sapphire-sandwiched Yb:YAG disk at near liquid nitrogen temperature. An output power of 74 W with... Tokita, Shigeki; Kawanaka, Junji; Izawa, Yasukazu; Fujita, Masayuki; Kawashima, Toshiyuki 476 Science Journals Connector (OSTI) We have demonstrated a high-power laser oscillator with end-cooling using a sapphire-sandwiched Yb:YAG disk at liquid nitrogen temperature. An output power of 74 W with... Tokita, Shigeki; Fujita, Masayuki; Kawanaka, Junji; Kawashima, Toshiyuki; Izawa, Yasukazu 477 E-Print Network [OSTI] was originated from hydroelectric power stations. Portugal assumed that the Electricity System Expansion Plan will proceed with the construction of new hydroelectric power plants with an installed power rating of more 478 E-Print Network [OSTI] the MMIC design and hybrid load-pull data. II. MMIC DESIGN To obtain over 3 W of output power at 10 GHz in the MMIC, allowing for external fundamental load-pull only. The results show a power added efficiency (PAE. Index Terms-- Power Amplifier, MMIC, Hybrid, Load- Pull. I. INTRODUCTION Power amplifiers with power Popovic, Zoya 479 E-Print Network [OSTI] At moderate to fast walking speeds, the human ankle provides net positive work at high-mechanical-power output to propel the body upward and forward during the stance period. On the contrary, conventional ankle-foot ... Au, Samuel K. 480 Science Journals Connector (OSTI) Output-based incentives, in the form of feed-in tariffs Feed-in-Tariff refers to a guaranteed, fixed off-take tariff for renewable power for a pre-specified duration; typically higher than the p... Shiva Susarla; Elmar Friedrich 2013-09-01T23:59:59.000Z Note: This page contains sample records for the topic "rated output power" 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 E-Print Network [OSTI] high current, low voltage electrical pulses. The homopolar generator is allowing numerous industrial joining and forming processes to be extended to larger work pieces and higher power output capabilities than were previously possible. The basic... Weldon, J. M.; Weldon, W. F. 1979-01-01T23:59:59.000Z 482 E-Print Network [OSTI] systems, battery chargers and data centers etc. Also, high voltage DC (HVDC) systems employ rectifiers to convert ac input to DC output. HVDC is one example of the application of AC/DC conversion, in power system also, grid tie of two different power... Albader, Mesaad 2014-07-30T23:59:59.000Z 483 Science Journals Connector (OSTI) Large-scale utilisation of electricity started with the construction of the first power plants. The world’s first power plants were built in New York with a power output of about 500 kW (in 1882) and in Berlin... Erich Hau 2013-01-01T23:59:59.000Z 484 E-Print Network [OSTI] ." VIMS Marine resource Report N. 2007-6. August 2007. Author: John B. Walden NMFS/NEFSC 166 Water St(obs,var) variuable input utilization rate weight(obs) weights ; POSITIVE Variable weight, lambda; EQUATIONS CONSTR1 /dd_res_crs.txt/ MODEL CAP /ALL/; /*Use all the equations. Alternatively, the model could be solved 485 Science Journals Connector (OSTI) This study examines the transmission and response of inflation uncertainty and output uncertainty on inflation and output growth in the UK using a bi-variate EGARCH model. Results suggest that inflation uncertain... Ramprasad Bhar; Girijasankar Mallik 2013-12-01T23:59:59.000Z 486 Science Journals Connector (OSTI) The primary objective of this investigation is to develop a new control method for wind turbines that can increase their wind energy capture efficiency. Since the resultant wind turbinesystemdynamics are profoundly nonlinear and coupled with significant uncertainties traditional model-based control is found to be not only structurally complex but also computationally expensive. Here we explore two sets of control algorithms to enhance wind to electrical energy conversion. The first accounts for system nonlinearities and external disturbances by integrating variable structure control with adaptive control. The second accommodates the nonlinearities arising from rotor aerodynamics and pitch (actuation) dynamics as well as external disturbances through a method inspired by a 1st order human memory/learning model. The second method allows direct maximum power coefficient tracking for winds under the rated speed and ensures rated power output for winds over the rated speed. Basically it uses the system current and most recent memorized responses together with past control experience to generate new control actions. Both rotor dynamics and actuation (pitch) dynamics are reflected indirectly through the observed/measured system response at each instant and are embedded within the control mechanism. Thus there is no need for detailed information on the system model or system parameters in the control’s design and implementation. The efficacy of both proposed approaches is analyzed through numerical simulations. YongDuan Song; WenChuan Cai; Peng Li; YongSheng Hu 2012-01-01T23:59:59.000Z 487 Broader source: Energy.gov (indexed) [DOE] Measurement and Modeling of Measurement and Modeling of Solar and PV Output Variability Preprint M. Sengupta To be presented at SOLAR 2011 Raleigh, North Carolina May 17-21, 2011 Conference Paper NREL/CP-5500-51105 April 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, 488 E-Print Network [OSTI] The scheme of quantum teleportation, where Bob has multiple (N) output ports and obtains the teleported state by simply selecting one of the N ports, is thoroughly studied. We consider both deterministic version and probabilistic version of the teleportation scheme aiming to teleport an unknown state of a qubit. Moreover, we consider two cases for each version: (i) the state employed for the teleportation is fixed to a maximally entangled state, and (ii) the state is also optimized as well as Alice's measurement. We analytically determine the optimal protocols for all the four cases, and show the corresponding optimal fidelity or optimal success probability. All these protocols can achieve the perfect teleportation in the asymptotic limit of$N\\to\\infty\$. The entanglement properties of the teleportation scheme are also discussed.

Satoshi Ishizaka; Tohya Hiroshima

2009-04-06T23:59:59.000Z

489

Science Journals Connector (OSTI)

The cw optical power obtainable from semiconductor laser diodes has been extended to unprecedented levels in recent years through the use of multistripe arrays. By spreading out the optical power with more than 100 stripes single?facet cw output in exces of 5 Watts has been demonstrated and 500 mW cw is now commercially available. Recent improvements to array performance include: arrays up to 1 cm wide that generates quasi?cw (150 usec pulse) output in excesss of 11 Watts and a novel device structure which produces up to 215 mW cw in a single diffraction limited lobe.

Peter S. Cross

1986-01-01T23:59:59.000Z

490

SciTech Connect (OSTI)

The cw optical power obtainable from semiconductor laser diodes has been extended to unprecedented levels in recent years through the use of multistripe arrays. By spreading out the optical power with more than 100 stripes, single-facet, cw output in exces of 5 Watts has been demonstrated, and 500 mW cw is now commercially available. Recent improvements to array performance include: arrays up to 1 cm wide that generates quasi-cw (150 usec pulse) output in excesss of 11 Watts, and a novel device structure which produces up to 215 mW cw in a single diffraction limited lobe.

Cross, P.S.

1986-08-15T23:59:59.000Z

491

SciTech Connect (OSTI)

The Power Line Calculator (PLC) for DOS, version 1.0, is a program that describes the electrical characteristics of a transmission or distribution system given user-defined input. This input may consist of a combination of operating currents and phases, symmetric components, power factor, and real or reactive power. The program also allows the user to designate whether currents are present on the system neutral or in the ground. The PLC assumes that any value entered by the user remains fixed (e.g., phase current, power factor), and for underdetermined systems, basic default assumptions are incorporated: the power factor is held at or near 1.0, the net phase current is kept at or near zero, and the phase conductor currents are kept balanced. The program operates under PC/MS-DOS version 3.3 or later, and the output is available in both tabular and graphic formats.

Silva, J.M. (Enertech Consultants, Campbell, CA (United States))

1992-11-01T23:59:59.000Z

492

DOE Patents [OSTI]

A high power, solid state power supply is described for producing a controllable, constant high voltage output under varying and arcing loads suitable for powering an electron beam gun or other ion source. The present power supply is most useful for outputs in a range of about 100-400 kW or more. The power supply is comprised of a plurality of discrete switching type dc-dc converter modules, each comprising a voltage regulator, an inductor, an inverter for producing a high frequency square wave current of alternating polarity, an improved inverter voltage clamping circuit, a step up transformer, and an output rectifier for producing a dc voltage at the output of each module. The inputs to the converter modules are fed from a common dc rectifier/filter and are linked together in parallel through decoupling networks to suppress high frequency input interactions. The outputs of the converter modules are linked together in series and connected to the input of the transmission line to the load through a decoupling and line matching network. The dc-dc converter modules are phase activated such that for n modules, each module is activated equally 360{degree}/n out of phase with respect to a successive module. The phased activation of the converter modules, combined with the square current waveforms out of the step up transformers, allows the power supply to operate with greatly reduced output capacitance values which minimizes the stored energy available for discharge into an electron beam gun or the like during arcing. The present power supply also provides dynamic response to varying loads by controlling the voltage regulator duty cycle using simulated voltage feedback signals and voltage feedback loops. Circuitry is also provided for sensing incipient arc currents reflected at the output of the power supply and for simultaneously decoupling the power supply circuitry from the arcing load. 7 figs.

Shimer, D.W.; Lange, A.C.

1997-03-11T23:59:59.000Z

493

DOE Patents [OSTI]

A high power, solid state power supply is described for producing a controllable, constant high voltage output under varying and arcing loads suitable for powering an electron beam gun or other ion source. The present power supply is most useful for outputs in a range of about 100-400 kW or more. The power supply is comprised of a plurality of discrete switching type dc-dc converter modules, each comprising a voltage regulator, an inductor, an inverter for producing a high frequency square wave current of alternating polarity, an improved inverter voltage clamping circuit, a step up transformer, and an output rectifier for producing a dc voltage at the output of each module. The inputs to the converter modules are fed from a common dc rectifier/filter and are linked together in parallel through decoupling networks to suppress high frequency input interactions. The outputs of the converter modules are linked together in series and connected to the input of the transmission line to the load through a decoupling and line matching network. The dc-dc converter modules are phase activated such that for n modules, each module is activated equally 360.degree./n out of phase with respect to a successive module. The phased activation of the converter modules, combined with the square current waveforms out of the step up transformers, allows the power supply to operate with greatly reduced output capacitance values which minimizes the stored energy available for discharge into an electron beam gun or the like during arcing. The present power supply also provides dynamic response to varying loads by controlling the voltage regulator duty cycle using simulated voltage feedback signals and voltage feedback loops. Circuitry is also provided for sensing incipient arc currents reflected at the output of the power supply and for simultaneously decoupling the power supply circuitry from the arcing load.

Shimer, Daniel W. (Danville, CA); Lange, Arnold C. (Livermore, CA)

1997-01-01T23:59:59.000Z

494